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47 results
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Pressure Ulcers and Nutrients: From Established Evidence to Gaps in Knowledge
Available online: 04 November 2024More LessPressure ulcers (PUs) are caused by continuous pressure or friction on the skin that damages tissue, especially over bony prominences. A critical factor in the development and progression of PUs is poor nutritional status, which often involves deficiencies in essential nutrients such as proteins, vitamins (A, C, D, E, K, and the B complex), and trace elements (including zinc, selenium, copper, iron, and manganese). These micronutrients are vital for effective wound healing, as they play significant roles in cellular repair, immune function, and tissue regeneration. Laboratory tests for serum albumin, prealbumin, transferrin, retinol-binding protein, and anthropometric measures like height, weight, and body mass index (BMI) are used to evaluate a patient's nutritional status. Screening tools such as the Mini Nutritional Assessment (MNA), Malnutrition Universal Screening Tool (MUST), LPZ questionnaire, and Subjective Global Assessment (SGA) are commonly employed. Emerging evidence from various studies, including in vitro, in vivo, and clinical trials, underscores the importance of personalized nutritional interventions in managing PUs. Unlike generic dietary plans, tailored nutrition that addresses the specific needs of individuals shows greater potential in promoting wound healing and improving clinical outcomes. This synthesis of existing research highlights the critical influence of micronutrients on the healing process of PUs. It suggests that a personalized approach to nutrition, which takes into account individual patient requirements and deficiencies, is likely to be more effective than a one-size-fits-all strategy in the management of these complex wounds.
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The Mechanism of Action of Exosomes Derived from Glioblastoma Cells
Authors: Ozal Beylerli, Ilgiz Gareev, Tatiana Ilyasova, Elmar Musaev and Vladimir ChekhoninAvailable online: 04 November 2024More LessGlioblastoma (GBM) is a highly aggressive and lethal brain tumor characterized by rapid growth, invasive behavior, and resistance to conventional therapies, such as surgery, radiotherapy, and chemotherapy. Despite these interventions, patient survival remains poor due to the tumor’s ability to recur and adapt to treatments. The function of GBM-derived exosomes (GBM-exosomes) as essential mediators in tumor growth has drawn attention in recent years. These small extracellular vesicles are involved in the transfer of a variety of molecules, including cytokines, miRNAs, proteins, and DNA, facilitating intercellular communication that promotes GBM cell proliferation, angiogenesis, immune evasion, and resistance to therapies. This review aims to provide an in-depth examination of the mechanisms through which GBM-exosomes contribute to these pathological processes, as well as to discuss the current methodologies for isolating and characterizing GBM exosomes. Additionally, we explore the potential of exosomes as biomarkers for diagnosis and prognosis and as novel therapeutic targets in the fight against GBM. By improving our understanding of GBM-exosomes, we can pave the way for the development of more effective, personalized treatment strategies that may improve patient outcomes and quality of life.
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Design, Synthesis, and Antitumor Potential of New Thiazole-contained 5-Fluoro-2-Oxindole Derivatives as Sunitinib Analogues
Available online: 04 November 2024More LessBackgroundIndole is considered the most promising scaffold for anticancer drug design due to its high bioavailability, unique chemical properties, and broad spectrum of pharmacological action.
ObjectiveTwelve novel thiazole-containing the 5-fluoro-1,3-dihydro-2H-indol-2-one derivatives as sunitinib analogs were designed and synthesized, and their anticancer activity was evaluated against the NCI-60 cancer cell lines.
MethodThe thiazole-contained 5-fluoro-1,3-dihydro-2H-indol-2-one derivatives were synthesized using Knoevenagel condensation of 1,3-thiazole-5-carboxylic acid 1. Their anticancer activities were evaluated by NCI-60 one-dose screen assay. The molecular docking studies were performed using AutoDock tools and the AutoDock Vina programs. The ADMETlab 2.0 web server predicted the physicochemical properties of compounds.
ResultsAmong the synthesized new 5-fluoro-2-oxindole derivatives, compound 3g demonstrated high antitumor activity (GI>70%) against eight types of cancer: leukemia, breast cancer, ovarian cancer, lung cancer, melanoma, CNS cancer, renal cancer, and colon cancer. The most activity was observed against breast cancer (T-47D, GI=96.17%), lung cancer (HOP-92, GI=95.95%), ovarian cancer (NCI/ADR-RES, GI=95.13%), and CNS cancer (SNB-75, GI=89.91%). The molecular docking results of compound 3g demonstrated the possibility of inhibiting VEGF2 receptors as his potential anticancer mechanism. The physicochemical properties predicted for compounds 3f and 3g showed positive results.
ConclusionCompound 3g demonstrated high in vitro NCI-60 anticancer activity against nine cancer types and showed cell growth inhibition against leukemia, CNS, and breast cancer at 6 - 31% higher than Sunitinib, and may represent the basis for further modification of the thiazole-containing analogs of the anticancer drug Sunitinib.
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LNX1-AS2 as a Key Prognostic and Immunotherapy Response Biomarker for Lung Adenocarcinoma
Authors: Xiuxiu Wang, Guanzhong Yan, Xiaoying Zhang, Dongbing Li and Guangyi LiAvailable online: 31 October 2024More LessBackgroundThe role of LNX1 antisense RNA 2 (LNX1-AS2) in lung adenocarcinoma (LUAD) remains unclear.
ObjectiveThis study aimed to investigate the association between LNX1-AS2 and LUAD by employing bioinformatics analysis and experimental validation.
MethodsStatistical analysis and database interrogation were utilized to assess correlations among LNX1-AS2 expression, clinical characteristics of LUAD patients, prognostic factors, regulatory networks, and immune infiltration. LNX1-AS2 expression in LUAD cell lines was quantified using quantitative real-time polymerase chain reaction (qRT-PCR).
ResultsThe study found significantly elevated levels of LNX1-AS2 expression in patients with LUAD. Furthermore, elevated LNX1-AS2 expression in LUAD patients did not significantly correlate with gender (p = 0.041) or race (p = 0.049). Importantly, high LNX1-AS2 expression levels were associated with poorer overall survival (OS, p = 0.042) and disease-specific survival (DSS, p = 0.040) in LUAD patients. Additionally, high LNX1-AS2 expression (p = 0.015) was independently correlated with OS in LUAD patients. The phenotype characterized by high LNX1-AS2 expression was also found to be enriched for asthma, allograft rejection, drug metabolism cytochrome P450, metabolism of xenobiotics by cytochrome P450, olfactory transduction, renin-angiotensin system, retinol metabolism, pentose and glucuronate interconversions, and porphyrin and chlorophyll metabolism. A significant correlation was identified between the expression levels of LNX1-AS2 and immune infiltration in the context of LUAD. Elevated expression of LNX1-AS2 was notably detected in LUAD cell lines as opposed to Beas-2B.
ConclusionA noteworthy relationship was established among increased LNX1-AS2 expression in LUAD patients, unfavorable prognosis, and heightened immune infiltration. These findings suggest that the LNX1-AS2 gene could serve as a valuable prognostic indicator for LUAD and a potential predictor of response to immunotherapy.
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TLR2 Activation as a Marker of Severe COVID-19 and a Potential Therapeutic Target
Authors: Xianxian Mao, Yijia Wu, Xinyi Zhang, Tian Zhou, Houda Huang, Mingui Fu and Yisong QianAvailable online: 31 October 2024More LessSARS-CoV-2-induced COVID-19 has been a serious public health problem, resulting in millions of lives lost over the previous three years. Although the direct infection caused by virus invasion is important for the pathobiology of COVID-19, the hyperinflammatory response and tissue injury are major contributors in critically ill patients. As a host sensor, toll-like receptor 2 (TLR2) recognizes multiple pathogen-associated molecular patterns (PAMPs) or damage-associated molecular patterns (DAMPs), producing various inflammatory cytokines and inflammatory cell death signals, which are central to the inflammatory pathology observed in COVID-19. The objectives of this narrative review are to summarize the role of TLR2 activation during SARS-CoV-2 infection and emphasize the importance of SARS-CoV-2 viral proteins in TLR2 activation. Additionally, we presented some compounds related to TLR2 regulation clinically or experimentally, which may provide new insights into targets for pharmaceutical discovery and development.
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Exosomal Delivery of miR-155 Inhibitor can Suppress Migration, Invasion, and Angiogenesis Via PTEN and DUSP14 in Triple-negative Breast Cancer
Available online: 31 October 2024More LessIntroductionTriple-Negative Breast Cancer (TNBC) is the most common type of breast cancer (BC). In order to develop effective treatments for TNBC, it is vital to identify potential therapeutic targets. Angiogenesis stimulates tumor growth and metastasis in TNBC, and miR-155 plays a crucial role in this process. The exosome is a nano-sized vesicle that carries many cargoes, including miRNAs. The present study investigated the effect of exosomal delivery of miR-155 antagomir on tumor migration, invasion, and angiogenesis in TNBC.
Materials and methodsFrom MDA-MB-231 cells, exosomes were extracted, characterized, and loaded with miR-155 antagomir using electroporation. The expression of miR-155 and its target genes, including PTEN and DUSP14, was analyzed using RT-qPCR. The wound-healing and transwell assays were used to measure cell migration and invasion. Furthermore, angiogenesis was evaluated by tube formation and chorioallantoic membrane (CAM) assays.
ResultsThe results indicated that exosomal delivery of miR-155 antagomir to HUVEC cells significantly suppressed miR-155 expression while upregulating PTEN and DUSP14. The tube formation properties of HUVEC cells were also significantly reduced following treatment with exosomes containing miR-155 antagomirs, and these results were confirmed using CAM assay. The migration and invasion of MDA-MB-231 cells were significantly reduced after treatment with miR-155 antagomir-loaded exosomes.
ConclusionIt was found that miR-155 antagomir delivery using exosomes can inhibit migration, invasion, and angiogenesis viaPTEN and DUSP14 in TNBC.
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Elucidating the Mechanisms of Astragalus Membranaceus in Colorectal Cancer Patients through Bioinformatics Analysis
Authors: Shuwei Wang, Jiandong Tang, Gan Li and Songbing HeAvailable online: 31 October 2024More LessBackgroundAstragalus membranaceus has shown positive clinical efficacy in treating colorectal cancer (CRC).
ObjectiveThis study aimed to identify the key active components of Astragalus and determine effective targets of these components in CRC patients.
MethodsWe identified active components of Astragalus membranaceus and differentially expressed genes in traditional Chinese medicine systems pharmacology database and The Cancer Genome Atlas. Additionally, the enrichment analysis of differential target genes (DTGs) was performed using the R-package clusterProfiler. Immunocyte correlation analysis and non-coding regulatory network construction were performed for biomarkers using Spearman’s method and NetworkAnalyst. Finally, molecular docking of biomarkers and their corresponding molecule drugs was done with Autodock Vina software.
ResultsWe identified 20 active components of Astragalus membranaceus and 1 403 target genes through screening. A total of 2 300 differentially expressed genes, and 3 035 hub genes in CRC were screened. The integration of the target genes with the significantly differentially expressed genes and Hub genes identified resulted in a total of 86 DTGs. Subsequently, the results showed 828 enriched GO biological processes, 184 enriched GO molecular functions, 59 enriched GO cellular components, and 46 enriched KEGG pathways. We also obtained a total of 143 PPI pairs involving 67 nodes. Additionally, we constructed 45 mRNA-TF pairs, 101 miRNA-mRNA pairs, and 200 miRNA-mRNA-TF triplets. Finally, molecular docking was performed for the active component quercetin with F2 and UGT1A1 and formic acid with FGA, AHSG, and KNG1.
ConclusionThis study identified the active components of Astragalus membranaceus and their corresponding targets in CRC. These findings provide robust evidence for precision drug therapy in patients with CRC.
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Developing Generalizable Scoring Functions for Molecular Docking: Challenges and Perspectives
Authors: Rodrigo Quiroga and Marcos VillarrealAvailable online: 30 October 2024More LessStructure-based drug discovery methods, such as molecular docking and virtual screening, have become invaluable tools in developing novel drugs. At the core of these methods are Scoring Functions (SFs), which predict the binding affinity between ligands and protein targets. This study aims to review and contextualize the challenges and best practices in training novel scoring functions to improve their accuracy and generalizability in predicting protein-ligand binding affinities. Effective training of scoring functions requires careful attention to the quality of training data and methodologies. We emphasize the need for robust training strategies to produce consistent and generalizable SFs. Key considerations include addressing hidden biases and overfitting in machine-learning models, as well as ensuring the use of high-quality, unbiased datasets for both training and evaluation of SFs. Innovative hybrid methods, combining the advantages of empirical and machine-learning approaches, hold promise for outperforming current scoring functions while displaying greater generalizability and versatility.
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Commentary on the Obtention of Semi-Synthetic Derivatives from Natural Products for Medicinal Applications: Advances, Challenges, and Perspectives
Authors: Musso Florencia and Biscussi BrunellaAvailable online: 29 October 2024More LessPlants have historically been a primary source of medicines due to their diverse molecular and structural composition. Plant metabolism, comprising primary and secondary processes, produces primary metabolites crucial for growth and secondary metabolites, or natural products (NPs), with specific biological functions. These small molecules are instrumental in pharmacology for their ability to penetrate biological barriers and interact with intracellular targets. The structural complexity and limited availability of NPs have led to research focusing on enhancing their diversity through semi-synthesis. In this commentary, examples of various semisynthetic derivatives of NPs obtained through different synthetic strategies, such as organic semi-synthesis or combinatorial chemistry, are cited. Additionally, the importance of developing hybrid molecules based on the combination of two or more distinct pharmacophores is emphasized. This strategy has been widely implemented to obtain new multitarget drugs applicable to the treatment of multifactorial neurodegenerative diseases, where stimulating the cholinergic system by modulating different therapeutic targets is crucial. However, challenges, such as structural complexity, raw material availability, and the need for precise synthetic methods, persist. Innovations in synthetic routes, sustainable harvesting, and biotechnological advances are critical to overcoming these barriers. The integration of omics technologies, green chemistry principles, and global collaboration is essential to maximize the potential of NPs in drug development, ensuring sustainable and efficient production of new therapeutics.
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Intermittent Fasting and Fasting-mimicking Diet: Promising Strategies in Cancer Management
Authors: Chuanqiang Zhang, Fengqing Fu, Xingchao Zhu, Xiangyu Ni, Sijia Yue, Hongya Wu and Tongguo ShiAvailable online: 24 October 2024More LessIn the current review, we aim to elucidate the advancements concerning the roles and fundamental mechanisms of intermittent fasting (IF)> and fasting-mimicking diet (FMD)> in cancers. As a dietary intervention,> IF and FMD> potentially impede tumor growth by modulating multiple signaling pathways, such as AKT, Nrf2, and AMPK pathways.> Moreover, IF and FMD have been reported to be associated with the tumor immune response by regulating various immune cells including tumor-associated macrophages (TAMs), monocytic myeloid-derived suppressor cells (MDSCs), T cells, and B cells.> Additionally, IF and FMD can enhance the efficacy and tolerability of therapy, concurrently reducing therapy-induced side effects.> Furthermore, several clinical trials have underscored the safety, feasibility, and positive impact on the quality of life associated with IF and FMD, thereby augmenting the effectiveness of conventional anti-tumor therapies while ameliorating treatment-related side effects. This review provides a comprehensive synthesis of findings and elucidates the underlying mechanisms of IF and FMD in cancer progression and therapy.
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Potential Mechanisms of Covid-19 Related Nervous System Damage and Effects on Female Fertility
Authors: Chen-yue Qian, Si-ning Hu, liu huadong and Jing-jin LiuAvailable online: 24 October 2024More LessSigns and symptoms that persist or worsen beyond the “acute COVID-19” stage are referred to as long-COVID. These patients are more likely to suffer from multiple organ failure, readmission, and mortality. According to a recent theory, long-lasting COVID-19 symptoms may be caused by abnormal autonomic nervous system (ANS) activity, such as hypovolemia, brain stem involvement, and autoimmune reactions. Furthermore, COVID-19 can also cause impaired fertility in women, which may also be related to inflammation and immune responses. Currently, few treatments are available for long-COVID symptoms. This article reviews the major effects of COVID-19 on the nervous system and female fertility, as well as offers potential treatment approaches.
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Distribution Of Microrna Counts Across Human Chromosomes
Available online: 24 October 2024More LessIntroductionmicroRNAs (miRNAs) are a class of non-coding RNAs that play important roles in gene regulation. miRNAs are transcribed from DNA sequences into primary miRNAs and then processed into precursor miRNAs and mature miRNAs. miRNA gene counts in chromosomes for different species have been studied.
MethodCertain chromosomes have higher numbers of miRNA genes in all species, such as the X chromosome, while the Y chromosome has the fewest or no miRNA genes. miRNA counts in different chromosomes might have a positive correlation with coding gene counts in many species. In this study, a regression model was used to find the relationship between the miRNA count and the coding gene count across human chromosomes, and miRNA counts for 23 human chromosomes were predicted based on this regression model. In addition, the chromosome locations for the miRNA biomarkers of major depression, diabetes, Parkinson’s disease, and COVID-19 are discussed.
ResultsThe results reveal that miRNA biomarkers of these diseases are located in various chromosomes. The dispersion of miRNA locations across different chromosomes might explain the complication of the pathology of these diseases. Moreover, diabetes and COVID-19 have the largest number of miRNA biomarkers from Chromosome X.
ConclusionAs Chromosome X is a sex chromosome, this phenomenon may explain the gender difference in the prevalence or severity of diabetes and COVID-19. The significant gender difference in the prevalence or severity of diabetes and COVID-19 might be due to the regulation function of their miRNA biomarkers from Chromosome X.
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Machine Learning-based Macrophage Signature for Predicting Prognosis and Immunotherapy Benefits in Cholangiocarcinoma
Authors: Junkai Huang, Yu Chen, Zhiguo Tan, Yinghui Song, Kang Chen, Sulai Liu, Chuang Peng and Xu ChenAvailable online: 24 October 2024More LessAimsWe aimed to develop a macrophage signature for predicting clinical outcomes and immunotherapy benefits in cholangiocarcinoma.
BackgroundMacrophages are potent immune effector cells that can change phenotype in different environments to exert anti-tumor and anti-tumor functions. The role of macrophages in the prognosis and therapy benefits of cholangiocarcinoma was not fully clarified.
ObjectiveThe objective of this study is to develop a prognostic model for cholangiocarcinoma.
MethodsThe macrophage-related signature (MRS) was developed using 10 machine learning methods with TCGA, GSE89748 and GSE107943 datasets. Several indicators (TIDE score, TMB score and MATH score) and two immunotherapy datasets (IMvigor210 and GSE91061) were used to investigate the performance of MRS in predicting the benefits of immunotherapy.
ResultsThe Lasso + CoxBoost method's MRS was considered a robust and stable model that demonstrated good accuracy in predicting the clinical outcome of patients with cholangiocarcinoma; the AUC of the 2-, 3-, and 4-year ROC curves in the TCGA dataset were 0.965, 0.957, and 1.000. Moreover, MRS acted as an independent risk factor for the clinical outcome of cholangiocarcinoma cases. Cholangiocarcinoma cases with higher MRS scores are correlated with a higher TIDE score, higher tumor escape score, higher MATH score, and lower TMB score. Further analysis suggested high MRS score indicated a higher gene set score correlated with cancer-related hallmarks.
ConclusionWith regard to cholangiocarcinoma, the current study created a machine learning-based MRS that served as an indication for forecasting the prognosis and therapeutic advantages of individual cases.
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Unraveling the Ferroptosis-inducing Potential of Methanol Leaves Extract of Prosopis Juliflora Via Downregulation of SLC7A11 and GPX4 mRNA Expression in A549 Lung Cancer Cells
Available online: 24 October 2024More LessIntroductionProsopis juliflora has been employed in many traditional treatments. As evidenced by our earlier research, Prosopis juliflora leaf methanol extract (PJME) has a promising future in the fight against lung cancer. It may also be used in conjunction with other treatments to effectively manage lung cancer. Aims and objective: The main objective of this study was to explore the potential of PJME to inhibit lung cancer in A549 cells, along with its underlying mechanisms of action.
MethodThe antiproliferative effects were determined using MTT and LDH tests. Apoptosis-inducing capacity was evaluated using the DAPI staining, caspase-3 test, cytochrome C assay, PARP cleavage, and qRT-PCR. To investigate the mechanism of action of PJME in lung cancer, the levels of ROS, MMP, GSH, MDA, and specific ferroptosis indicators were measured.
ResultsThe experimental data of the current study indicated that exposure of A549 cells to PJME reduced cell viability and increased cellular cytotoxicity. The apoptosis-inducing ability of PJME in A549 cells was validated by enhanced nuclear condensation, level of the caspase-3, cytochrome C, and PARP release. In addition, qRT-PCR investigations verified that the administration of PJME led to a decrease in the expression of anti-apoptotic gene Bcl2 while enhancing the mRNA level of pro-apoptotic genes, such as Bax and caspase-3, in A549 cells.
ConclusionThe study also found that PJME has the ability to activate ferroptosis pathways, as evidenced by elevated reactive oxygen species (ROS) generation, changes in the levels of antioxidant markers (MDA and GSH), and decreased expression of SLC7A11 and GPX4. The results of the present study clearly showed that PJME inhibited the proliferation of A549 cells and induced ferroptosis by reducing the expression of the important targets SLC7A11 and GPX4. Further research is necessary to fully understand the clinical efficacy of PJME before it can be investigated as supplemental or adjuvant therapy for lung cancer.
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Multiple Machine Learning Models, Molecular Subtyping and Single- cell Analysis Identify PANoptosis-related Core Genes and their Association with Subtypes in Crohn’s Disease
Authors: Yi Chen, Lu Zhang, Wan-Ying Huang, Rong-Quan He, Zhi-Guang Huang, Hui Li, Rui Song, Jia-Wei Zhang, Juan He and Gang ChenAvailable online: 21 October 2024More LessBackgroundPANoptosis plays an important role in many inflammatory diseases. However, there are no reports on the association between PANoptosis and CD.
Materials and MethodsThis study used five machine learning algorithms - least absolute shrinkage and selection operator, support vector machine, random forest, decision tree and Gaussian mixture models - to construct CD’s PANoptosis signature. Unsupervised hierarchical clustering analysis was used to identify PANoptosis-associated subgroups of CD. Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were conducted to compare the PANoptosis-associated subgroups of CD among the potential biological mechanisms. Single sample GSEA was used to assess immune microenvironmental differences among the subgroups. The potential role of PANoptosis in CD was further explored using single-cell RNA-Seq (scRNA-Seq) for PANoptosis scoring, differential analysis, pseudotime analysis, cellular communication analysis and weighted gene co-expression network analysis (WGCNA) analysis.
ResultsCD’s PANoptosis signature consisted of seven genes: CEACAM6, CHP2, PIK3R1, CASP10, PSMB1, PSMB8 and UBC. The PANoptosis signature in multiple cohorts had a strong ability to recognise CD. The levels of immune cell infiltration and the vigour of the immune responses significantly varied between the two subpopulations of CD associated with PANoptosis. Multiple lines of evidence from the GO, KEGG, GSEA, GSVA, scRNA-Seq and WGCNA analyses suggested that I-kappaB kinase/NF-kappaB signalling, mitogen-activated protein kinase (MAPK), leukocyte activation and leukocyte migration were mechanisms closely associated with PANoptosis in CD.
ConclusionThis study is the first to construct a PANoptosis signature with excellent efficacy in recognising CD. PANoptosis may mediate the process of CD through inflammatory and immune mechanisms, such as NF- kappaB, MAPK and leukocyte migration.
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Neuroprotective Effect of Artemisinin in an Animal Model of Alzheimer’s Disease
Available online: 18 October 2024More LessIntroductionAlzheimer's disease (AD) is the most common neurodegenerative disease in older people, characterized by the accumulation of beta-amyloid (Aβ) plaques and neurofibrillary tangles composed of aggregated of hyperphosphorylated tau protein, which normally helps stabilize microtubules in neurons.
MethodNowadays, artemisinin (ART) as well as its semisynthetic derivatives (ARTs) are seen as potential neuroprotectors. The goal of the present study is the assessment of neuroprotective, antibacterial activity of ART, as well as in silico studies of ART affinity to Aβ-peptides and the search of potential targets for ART. The study is referring to explores the impact of ART on an animal model of AD that is induced by the aggregated amyloidogenic peptide Aβ1-42 by electrophysiology and morphology analysis. Specifically, the focus is on the activation of the entorhinal cortex (ENT) as synaptic potentiation.
ResultElectrophysiological and histochemical have demonstrated that therapeutic injection of ART or its derivatives acts as a neuroprotective This treatment appears to prevent or slow down damage to brain tissue, and it promotes the restoration of neurons and their surrounding environment. The protective effects of ART may involve various mechanisms, including antioxidant activity, anti-inflammatory effects, and the inhibition of apoptosis.
Conclusionin silico studies revealed a direct, strong interaction of ART with the amyloidogenic peptides 5Aβ17-42, 12Aβ9-40, and 18Aβ9-40. in silico screening revealed several protein targets for ART, including cytochrome P-450 2B6 (CYP2B6). The highest binding affinity was found on the active site of CYP2B6. ART has great potential for discovering new drugs using combined therapies.
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Focused Insights into Liposomal Nanotherapeutics for Antimicrobial Treatment
Authors: Kiran Jani, Swapnil Mehta, Riya Patel, Bhupendra Prajapati and Gayatri PatelAvailable online: 17 October 2024More LessAddressing infectious conditions presents a formidable challenge, primarily due to the escalating issue of bacterial resistance. This, coupled with limited financial resources and stagnant antibiotic research, compounds the antibiotic crisis. Innovative strategies, including novel antibiotic development and alternative solutions, are crucial to combat microbial resistance. Nanotherapeutics offers a promising approach to enhance drug delivery systems. Integration into lipid-based nanoscale delivery systems, particularly through therapeutic substance encapsulation in liposomal carriers, significantly prolongs drug presence at infection sites. This not only reduces toxicity but also shields antibiotics from degradation. Lipidic carriers, particularly liposomes, exhibit remarkable specificity in targeting infectious cells. This holds great promise in combating antimicrobial resistance and potentially transforming treatment for multi-drug resistant infections. Leveraging liposomal carriers may lead to breakthroughs in addressing drug-resistant bacterial infections. This review emphasizes the potential of antimicrobial-loaded liposomes as a novel delivery system for bacterial infections. Encapsulating antimicrobial agents within liposomes enhances treatment efficiency. Moreover, liposomal systems counteract challenges posed by antimicrobial resistance, offering hope in managing persistent multidrug-resistant infections. In the battle against bacterial resistance and the antibiotics crisis, the use of antimicrobial-loaded liposomes as delivery vehicles shows great promise. This innovative approach not only extends drug effectiveness and reduces toxicity but also provides a path to address highly resistant infectious conditions. As research advances, liposomal nanotherapeutics may emerge as a transformative solution in the fight against bacterial infections.
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Structure-Activity Relationship of Substituted Pyrazoline Derivatives as Small Molecule Tyrosine Kinase Inhibitors
Authors: Saleem Akbar, Subham Das, Aman Kumar Mahto, Rikeshwer Prasad Dewangan and Bahar AhmedAvailable online: 17 October 2024More LessBackgroundTyrosine kinase inhibitors (TKIs) target certain cell signalling pathways, and have become a promising class of medications for the treatment of cancer in recent years. Because of their distinct structure and adaptable chemistry, pyrazolines have drawn a lot of interest from organic and medicinal chemists. Their exceptional TKI activity has prompted them to investigate chemotherapy for cancer.
ObjectiveWe aim to develop agents that inhibit tyrosine kinases highly effective with the least amount of harm possible, perhaps improving the course of cancer treatment.
MethodsThis review compiled current information from recent literature sources, including in vitro, in vivo, approved medications, active clinical trials, and the structure-activity relationships (SAR) linked to various pyrazoline analogues used as small-molecule Tyrosine Kinase Inhibitors in cancer treatment.
ResultsThis study focuses on SAR inside the pyrazoline ring and its derivatives as TKIs, and it emphasizes current developments, including patents, authorized medications, and compounds in clinical trials.
ConclusionBy enhancing our understanding of these compounds, our goal is to aid in making the roles of pharmacologists, scientists, and researchers who are designing and developing next-generation anticancer drugs with pyrazoline scaffolds easier. The future holds immense potential for the continued evolution of pyrazoline-based therapies, offering renewed hope in the ongoing battle against cancer.
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The Potential of Nanotechnology in Anti-Cancer Drug to Regulate Nrf2 Signaling for Cancer Therapeutic Purposes
Available online: 17 October 2024More LessNuclear factor erythroid 2-related factor 2 (Nrf2) is a regulator of the cellular antioxidant defense system that plays an important role in reducing the risk of various pathophysiological conditions, including cancer. Targeting Nrf2 presents an attractive therapeutic approach to overcome these challenges and improve cancer treatment outcomes. Nanoparticles, with their unique physicochemical properties, offer several advantages over conventional therapies for targeting Nrf2. These include enhanced stability, improved permeability and retention effect, and precise targeting capabilities. Moreover, delivery systems based on nanotechnology have shown promise in overcoming the limitations of conventional cancer therapies, including ineffective precision targeting and momentous complications. The therapeutic efficacy of Nrf2 inhibitors may be enhanced by using nanoparticles for specific drug targeting and deeper tissue penetration. This involves optimizing nanoparticle formulations, understanding their interactions with the biological environment, and ensuring their safety and biocompatibility. Effective nanoparticle formulations are being developed to transport Nrf2 inhibitors, which can significantly improve treatment outcomes and address the limitations of conventional cancer therapies. Further studies are needed to explore the potential of nanotechnology in targeting Nrf2 for cancer therapeutic purposes.
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Elucidating the Role of Autophagy-related Genes in Polycystic Ovary Syndrome: Implications for Diagnostic Models and Immune Response Regulation
Authors: Nan Li, Kai Yu, Delun Huang, Hua Guo, Xuehong Zhu and Zhong LinAvailable online: 17 October 2024More LessBackgroundPolycystic Ovary Syndrome (PCOS) is a common endocrine disorder that negatively affects female reproductive capacity. Although the association between autophagy and PCOS is known, there are few detailed studies on the association between autophagy-related genes and PCOS.
MethodsPublicly available gene expression datasets (GSE102293, GSE138518, GSE34526, GSE114419, GSE137684, GSE155489) were used in a comprehensive analysis to identify a role for autophagy in PCOS. Batch effects were mitigated using the sva package, followed by WGCNA (weighted gene correlation network analysis) and ssGSEA (single sample gene set enrichment analysis) to identify autophagy-related genes. Recursive feature elimination (RFE) and LASSO COX methods were used to identify important hub genes, and their correlation with immune cell activity was assessed using ssGSEA and Pearson correlation analysis.
ResultsHigh autophagy scores were observed in PCOS samples, and the dark green gene module with the highest autophagy correlation was identified. The differential analysis identified a total of 169 up-regulated genes versus 2 down-regulated genes in the PCOS samples, which were intersected by taking the intersection with the deep green module genes and resulted in 121 key genes. Subsequently, 6 hub genes (MMP25, CSF3R, SLPI, MMP9, CLEC4E, and SIGLEC10) were further identified based on RFE and LASSO algorithms. Diagnostic efficacy based on ROC curves showed six autophagy-associated hub genes with AUC values as high as 0.959 and 0.896 in the training and validation sets, respectively. Finally, we observed that these hub genes are strongly associated with immune function, especially chronic inflammation and aberrant immune activation pathways.
ConclusionIn this study, we identified autophagy genes closely related to PCOS and constructed a gene model with high diagnostic accuracy. These findings not only provided potential new biomarkers for the diagnosis of PCOS but also revealed the key role of autophagy in the pathogenesis of PCOS.
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Impact of Obesity, Menopause, and Depression in Women’s Health: An Attempt to Decipher the Complex Relationship
Authors: Pervej Alom Barbhuiya and Manash Pratim PathakAvailable online: 16 October 2024More LessBackgroundMenopause symptoms may be distressing, especially when they appear at a time when women are expected to play significant responsibilities in society. Numerous biological systems are influenced by the hormonal changes that start during the menopausal transition. This review attempts to decipher the complex relationship between obesity, menopause, and depression, citing some recent longitudinal and cross-sectional studies. Additionally, this study provides a summary of the different phytoestrogens, their sources, and probable mechanisms of action in addition to available therapeutic alternatives.
MethodologyFor this review purpose, the authors have gone through a vast number of articles from various scientific databases like PubMed, Google Scholar, and Web of Science.
ResultsIt is becoming clear that the physiological basis for these menopausal symptoms is complicated and connected to estrogen deficiency, but not alone. Other hormones like FSH, LH, progesterone, and inhibin B are the major ones that are both directly and indirectly responsible for most of the menopausal symptoms. Numerous longitudinal and cross-sectional studies have found a direct relationship between the incidence of menopause and depression as well as obesity. Phytoestrogens like stilbene, lignans, isoflavone, and coumestan have been reported to be the alternatives to synthetic estrogen with lesser side effects, as reported in various studies.
ConclusionThe complex relationship between depression, menopause, and obesity presents a complex obstacle to women's health and overall well-being. There might be a lot of promising prospects for revolutionary advancements in women's health during the menopausal stage in the future. Promising drug development that targets not just one but also the three conditions -obesity, menopause, and depression - as well as more thorough research are needed to improve the healthcare system for women who suffer from these conditions.
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Thrombosis in Hypertension: Pathophysiology, Biomarkers, and the Effect of Antihypertensive Treatment
Available online: 16 October 2024More LessHypertension, characterized by elevated blood pressure levels, remains a global health concern due to its association with cardiovascular complications, notably thrombosis. Thrombosis, the formation of blood clots within blood vessels, poses a significant risk for myocardial infarction, stroke, and limb ischemia, leading to adverse patient outcomes. Understanding the pathophysiological mechanisms underlying thrombosis in hypertension is crucial for developing effective preventive and therapeutic strategies. Hypertension induces structural and functional alterations in the vasculature, endothelium, and platelets, creating a prothrombotic milieu. Endothelial dysfunction, increased platelet activation, and alterations in coagulation factors contribute to the heightened thrombotic risk observed in hypertensive individuals. Biomarkers associated with thrombotic events, such as mean platelet volume, D-Dimer, and fibrinogen offer valuable insights into the pathogenesis of thrombosis and may serve as prognostic indicators for cardiovascular events in hypertensive populations. Investigating the impact of antihypertensive treatment on thrombotic risk is essential, as these medications exert pleiotropic effects on the vasculature and hemostatic system. By elucidating the intricate interplay between hypertension and thrombosis, this review aims to enhance our understanding of cardiovascular risk in hypertensive individuals and identify novel therapeutic targets for preventing thrombotic complications.
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Molecular Docking in Drug Discovery: Techniques, Applications, and Advancements
Authors: Cinthia Aguiar and Ihosvany CampsAvailable online: 16 October 2024More LessThe primary objective of this study is to conduct a comprehensive review of the significance of molecular docking in the field of drug discovery. This includes an examination of the various approaches and methods used in molecular docking, as well as an exploration of the techniques used for interpreting and validating docking results. To gather relevant data, a systematic search was conducted using Web of Science, PubMed, and Google Scholar. The search focused on articles related to molecular docking methodologies and their applications in drug discovery. Additionally, alternative techniques that can be used for more precise simulations of ligand-protein interactions were also considered. Molecular docking has proven to be an incredibly rich and valuable process in the field of drug discovery. Its flexibility allows for the incorporation of advanced computational techniques, thereby enhancing the reliability and efficiency of drug discovery processes. The results of the study highlights the significant strides made in the field of molecular docking, demonstrating its potential to revolutionize drug discovery. Molecular docking continues to evolve, with new advancements being made regularly. Despite the challenges faced, these advancements have significantly contributed to the enhancement of molecular docking, solidifying its position as a crucial tool in the field of drug discovery.
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Parthenolide Inhibits Tumor Cell Growth and Metastasis in Melanoma A2058 Cells
Authors: Zahra Dorostgou, Malihe Hoseyni, Afsaneh Bahrami, Rahele Zhiani and Mahnaz MohtashamiAvailable online: 16 October 2024More LessBackgroundSkin melanoma is a potentially lethal cancer and ranks as the 17th most common cancer worldwide. Overcoming resistance to advanced-stage melanoma is a significant challenge in its treatment. Parthenolide (PAR) is recognized as a potent anticancer small molecule, yet its potential in treating melanoma is poorly investigated.
ObjectiveOur objective was to investigate the apoptotic and anti-metastatic properties of PAR against the A2058 melanoma cells in vitro.
MethodsThis study employed various assays, such as cytotoxicity, apoptosis, cell cycle analysis, reactive oxygen species (ROS) production, mRNA expressions, western blotting, gelatin zymography, and scratch assay. The synergy between PAR and dacarbazine, a chemotherapy drug for treating skin cancer, was also assessed.
ResultsOur study revealed that PAR significantly reduced the viability of A2058 cancer cells, demonstrating greater potency against cancer cells compared to normal L929 cells (IC50: 20 µM vs. 27 µM after 24h). PAR increased ROS production, elevated mRNA expression of pro-apoptotic Bax and NME1 genes, and decreased expression of the MITF gene. PAR induced apoptosis and cell cycle arrest in A2058 cells, as evidenced by the increased proportion of cells in the late apoptotic phase and sub-G1 cell cycle arrest. MMP-2 and MMP-9 mRNA and protein expressions, gelatinase activity, and the migration of A2058 cells were also decreased by PAR, suggesting its potential to suppress cancer cell invasion.
ConclusionThese results, along with the synergic effect with dacarbazine, indicated that PAR may have the potential to be a therapeutic drug for melanoma by triggering apoptosis and suppressing invasion and migration.
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Development and Validation of a Cholesterol-related Gene Signature for Prognostic Assessment in Head and Neck Squamous Cell Carcinoma
Authors: Jiarong Zheng, Dalong Shu, Rongwei Xu, Yuchen Zheng, Pei Lin, Yunfan Lin, Xinyuan Zhao, Li Cui, Xin Liao and Bing GuoAvailable online: 15 October 2024More LessAimThis study seeks to develop a prognostic risk signature for head and neck squamous cell carcinoma (HNSCC) based on cholesterol-related genes (CholRG), aiming to enhance prognostic accuracy in clinical practice.
BackgroundHNSCC poses significant challenges due to its aggressive behavior and limited response to standard treatments, resulting in elevated morbidity and mortality rates.In order to improve prognostic prediction in HNSCC, our study is inspired by the realization that cholesterol metabolism plays a critical role in accelerating the progression of cancer. To this end, we are developing a unique risk signature using CholRG.
ObjectiveThe aim of this study was to create a CholRG-based risk signature to predict HNSCC prognosis, aiding in clinical decision-making accurately.
MethodThe TCGA HNSCC dataset, along with GSE41613 and GSE65858, was obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases, respectively. A CholRG-based risk signature was then developed and validated across various independent HNSCC cohorts. Moreover, a nomogram model incorporating CholRG-based risk signature was established. Additionally, functional enrichment analysis was conducted, and the immune landscapes of the high- and low-risk groups were compared. Finally, in vitro experiments were performed using lipid-based transfection to deliver siRNAs targeting ACAT1 to SCC1 and SCC23 cell lines, further examining the effects of ACAT1 knockdown on these cells.
ResultsUtilizing RNA-seq, microarray, and clinical data from public databases, we constructed and validated a CholRG-based risk signature that includes key genes such as ACAT1, CYP19A1, CYP27A1, FAXDC2, INSIG2, PRKAA2, and SEC14L2, which can effectively predict the clinical outcome of HNSCC. Additionally, our findings were reinforced by a nomogram model that integrates the risk score with clinical variables for more clinically practical prognostic assessment. In addition, patients at high risk show hypoxia and increased oncogenic pathways such as mTORC1 signaling, as well as a suppressed immune microenvironment marked by a reduction in the infiltration of important immune cells. Notably, in vitro experiments showed that ACAT1 depletion significantly suppressed the proliferation, colony formation, and invasion capabilities of HNSCC cells, confirming ACAT1's role in promoting malignancy.
ConclusionCollectively, our study not only underscores the importance of cholesterol metabolism in HNSCC pathogenesis but also highlights the CholRG-based risk signature as a promising tool for enhancing prognostic accuracy and personalizing therapeutic strategies.
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Astaxanthin Is a Novel Candidate for Glioblastoma Treatment? A Review
Available online: 14 October 2024More LessGlioblastoma (GBM) is a malignant primary brain tumor with a poor prognosis and high recurrence rates. At present, the current treatments available for GBM patients can only prolong their overall survival and cannot provide a complete cure. Discovering an effective therapy against the disease is a challenge due to its recurrence and resistance to common available treatments for GBM. Several natural products have been documented to possess the potential to function as anticancer agents through diverse mechanisms. Astaxanthin (AXT) is an orange-red pigment that is a natural lipophilic and xanthophyll carotenoid derived mostly from microalgae. Numerous studies have examined that AXT impacts GBM cells in laboratory settings and animal models. This review aims to provide the latest information about the potential of astaxanthin as a novel therapeutic option for GBM. AXT has been targeted more on reactive oxygen species (ROS), and suppressed tumor growth in vitro and in vivo conditions. The available data suggests that AXT might serve as a key component in the development of innovative cancer therapies, especially for glioblastoma.
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Synthesis of Novel Indolyl Aryl Sulfone-clubbed Hydrazone Derivatives as Potential HIV-1 Non-Nucleoside Reverse Transcriptase Inhibitors: Molecular Modeling and QSAR Studies
Authors: Hazrat Ali, Abdul Latif, Mumtaz Ali, Ammara, Muhammad Waqas, Manzoor Ahmad, Asaad Khalid, Ajmal Khan and Ahmed Al-HarrasiAvailable online: 14 October 2024More LessBackgroundNon-Nucleoside Reverse Transcriptases Inhibitors (NNRTIs) are among the most extensively studied enzymes for understanding the biology of Human Immunodeficiency Viruses (HIV) and designing inhibitors for managing HIV infections. Indolyl aryl sulfones (IASs), an underexplored class of potent NNRTIs, require further exploration for the development of newer drugs for HIV.
AimsIn this context, we synthesized a series of novels by Indolyl Aryl Sulfones with a hydrazone moiety at the carboxylate site of the indole nucleus. A 2D-QSAR model was developed to predict Reverse Transcriptase inhibitory activity against wild-type RT (WT-RT) enzyme.
MethodThe model was successfully applied to predict the HIV-1 inhibitory activity of known Indolyl Aryl Sulfones. Considering the reliability, robustness, and reproducibility of the 2D-QSAR model, we made an in-silico prediction of the RT inhibition for our synthesized compounds (1-14).
ResultsMolecular docking and dynamics simulations established our synthesized Indolyl Aryl Sulfones, particularly compounds 23, 24, and 28, as effective NNRTIs by stabilizing HIV reverse transcriptase's structure. Binding energy calculations revealed compound 28 as the strongest inhibitor (-43.21 ± 0.09 kcal/mol), followed by 23 (-40.94 ± 0.10 kcal/mol) and 24 (-39.18±0.08 kcal/mol), emphasizing their binding affinity towards HIV reverse transcriptase.
ConclusionIn summary, the synthesized Indolyl Aryl Sulfones, particularly compounds 23, 24, and 28, demonstrate significant potential as Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) against HIV. These results highlight the promising role of these compounds in developing novel NNRTIs for managing HIV infections.
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Synthesis of 2,4-Bis(trifluoromethyl)benzaldehyde Hybrid Thiosemicarbazones as Prolyl Oligopeptidase Inhibitors for Neurodegenerative Disorders and their In-silico Analysis
Available online: 14 October 2024More LessIntroductionProlyl-specific oligopeptidase (POP), one of the brain's highly expressed enzymes, is an important target for the therapy of central nervous system disorders, notably autism spectrum disorder, schizophrenia, Parkinson's, Alzheimer's disease, and dementia.
MethodThe current study was designed to investigate 2,4-bis(trifluoromethyl) benzaldehyde-based thiosemicarbazones as POP inhibitors to treat the above-mentioned disorders. A variety of techniques, such as nuclear magnetic resonance (NMR), mass spectrometry (MS), and Fourier-transform infrared spectroscopy (FTIR), were used for the structural confirmation of synthesized compounds. After in-vitro evaluation, all of these compounds were found to be prominent inhibitors of the POP enzyme (IC50= 10.14 - 41.73 µM).
ResultCompound 3a emerged as the most active compound (IC50 10.14 ± 0.72 µM) of the series. The kinetic study of the most active 3a (Ki =13.66 0.0012 µM) indicated competitive inhibition of the aforementioned enzyme.
ConclusionMoreover, molecular docking depicted a noticeable role of thiosemicarbazide moiety in the binding of these molecules within the active site of the POP enzyme.
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Identifying Mechanism of RSV for the Treatment of COVID-19 and Idiopathic Pulmonary Fibrosis via Suppressing Inflammation Response Through IL-17 Signaling Pathway from the Perspectives of in silico Study
Authors: Jiahao Wang, Jiamiao Shi, Ning Jia and Qinru SunAvailable online: 11 October 2024More LessBackgroundBoth coronavirus disease 2019 (COVID-19) and idiopathic pulmonary fibrosis (IPF) could cause severe pulmonary injury and have extremely dismal prognoses with a high risk of mortality. Resveratrol (RSV), a natural polyphenol, has promising potential in the treatment of viral infection and pulmonary fibrosis.
ObjectiveThe purpose of this research was to investigate the unclear mechanism of RSV as an anti-COVID-19 and IPF therapy.
MethodUtilizing relevant databases, the intersection of genes related to IPF, COVID-19, and possible RSV targets was discovered. Then the obtained targets were investigated using GO and KEGG analysis, TP and PPI network analysis. Furthermore, the binding affinities between core targets and RSV were calculated using molecular docking.
ResultsThe 1101 COVID-19 targets, 2166 IPF targets, and 341 RSV targets intersected with 21 overlapping targets. PPI network reveals the interactions among targets and TP network reveals interactions between targets and pathways. Five targets including JUN, CCL2, CXCL8, IL6, and SERPINE1 were identified as the core targets through two network analyses. GO analysis demonstrated chemotaxis, inflammatory response and angiogenesis were the significant pathophysiological processes. Combing TP network analysis and KEGG analysis, IL-17 signaling pathway was considered as the significant pathway. Except for JUN, molecular docking showed the binding energies of other four targets were lower than -5 kcal/mol indicating intimate interactions between RSV and other targets.
ConclusionsOur research elucidate the targets, pathways and pathophysiological processes of RSV involved in effects of anti-COVID-19 and IPF, suggesting RSV could be a therapeutic candidate for reducing infection and fibrosis.
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FOXN3-AS1: A Candidate Prognostic Marker and Epigenetic Target with Immunotherapeutic Implications in Acute Myeloid Leukemia
Available online: 11 October 2024More LessAimWe focused on the FOXN3 gene and selected its antisense transcripts (FOXN3-AS1) to investigate its potential involvement in acute myeloid leukemia (AML).
BackgroundSeveral integrated multi-omics datasets have expanded the horizons of the cancer landscape. With the emergence of new high-throughput technologies, a large number of non-coding RNAs have been confirmed to be involved in the pathogenesis of different types of hematological malignancies.
MethodsWe conducted experimental validation using quantitative polymerase chain reaction (qPCR) with bone marrow specimens from AML patients. Then, Kaplan-Meier (KM) and Receiver Operating Characteristic (ROC) curves were used to substantiate the prognostic association between FOXN3-AS1 and AML patients within the TCGA database. Correlation between FOXN3-AS1 expression and gene mutation, immune, and immune function using Spearman correlation analysis. To explore the physical and functional interaction between FOXN3-AS1 and the DNMT1 protein, we utilized the RPISeq web tool from Iowa State University. Subsequently, we performed qPCR experiments to test the effect of 5AzaC (DNMT1 inhibitor) on FOXN3-AS1 expression AML cell lines (THP1 and OCI-AML3). We leveraged the “OncoPredict” R package in conjunction with the Genomics of Drug Sensitivity (GDSC) database to predict drug response in AML patients expressing FOXN3-AS1.
ResultsWe observed a significant upregulation of FOXN3-AS1 expression in AML patients compared to healthy controls using clinical samples. The TCGA database revealed an association between high FOXN3-AS1 expression and adverse prognosis. In our subsequent analysis, genes with poor prognostic implications in AML patients were exclusively identified in the FOXN3-AS1 high-expression group, further corroborating this relationship. AML patients with higher FOXN3-AS1 expression levels may respond less optimally to immunotherapy than patients with lower levels. Besides, we computationally predicted the interaction of FOXN3-AS1 and DNMT1 protein and experimentally confirmed that DNMT1i (GSK-3484862) affects the expression level of FOXN3-AS1. We also found that the chemotherapy drugs (5-Fluorouralic, Cisplatin, Dactolisib, Sapitinib, Temozolomide, Ulixertinib, Vinorelbine, Ruxolitinib, Osimertinib and Cisplatin) showed favorable responses in AML patients with high FOXN3-AS1 expression levels.
ConclusionOur candidate approach identifies FOXN3-AS1 as a prognostic indicator of survival in AML with a potential immune-related role. The preliminary observations we made on FOXN3-AS1/DNMT1 crosstalk warrant more in-depth invested immunotherapeutic approaches in AML.
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Mitochondrial Dysfunction Associated with mtDNA Mutation: Mitochondrial Genome Editing in Atherosclerosis Research
Available online: 11 October 2024More LessBackgroundAtherosclerosis is a complex cardiovascular disease often associated with mitochondrial dysfunction, which can lead to various cellular and metabolic abnormalities. Within the mitochondrial genome, specific mutations have been implicated in contributing to mitochondrial dysfunction. Atherosclerosis-associated m.15059G>A mutation has been of particular interest due to its potential role in altering mitochondrial function and cellular health.
ObjectiveThis study aims to investigate the role of the atherosclerosis-associated m.15059G>A mutation in the development of mitochondrial dysfunction in monocyte-like cells.
MethodsMonocyte-like cytoplasmic hybrid cell line TC-HSMAM1, which contains the m.15059G>A mutation in mtDNA, was used. The MitoCas9 vector was utilized to eliminate mtDNA copies carrying the m.15059G>A mutation from TC-HSMAM1 cybrids. Mitochondrial membrane potential, generation of reactive oxygen species, and lipid peroxidation levels were assessed using flow cytometry. Cellular reduced glutathione levels were assessed using the confocal microscopy. The oxygen consumption rate was measured using polarographic oxygen respirometry.
ResultsThe elimination of the m.15059G>A mutation resulted in a significant increase in mitochondrial membrane potential and improved mitochondrial efficiency while also causing a decrease in the generation of reactive oxygen species, lipid peroxidation, as well as cellular bioenergetic parameters, such as proton leak and non-mitochondrial oxygen consumption. At the same time, no changes were found in the intracellular antioxidant system after the mitochondrial genome editing.
ConclusionsThe presence of the m.15059G>A mutation contributes to mitochondrial dysfunction by reducing mitochondrial membrane potential, increasing the generation of reactive oxygen species and lipid peroxidation, and altering mitochondrial bioenergetics. Elimination of the mtDNA containing atherogenic mutation leads to an improvement in mitochondrial function.
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Synthesis, DFT, ADMET, and Docking studies of Novel Sulfonyl Piperidine Analogues containing 2,3-Dihydrobenzofuran-5-Carboxamide
Available online: 11 October 2024More LessBackgroundThe development of effective anti-cancer medicines with low side effects is imperative as cancer continues to be a leading cause of death globally. By obstructing the survival and growth of cancer cells, small-molecule medications have made tremendous progress in the field of cancer research. Several bioactive heterocyclic compounds, including derivatives of piperidine and 2,3-dihydrobenzofuran, have shown great promise and are found in various anti-cancer medications. Cancer growth and metastasis are hindered by these small molecule inhibitors, which interfere with vital signals that drive cancer cell proliferation.
ObjectiveThis study focuses on the synthesis and evaluation of novel Sulfonyl Piperidine Analogues containing 2,3-Dihydrobenzofuran-5-Carboxamide as potential anti-cancer agents.
MethodsThe synthesized compounds were characterized using spectroscopic techniques such as 1H NMR and ESI-MS. Protein-drug interaction studies, DFT analysis, and target prediction techniques were employed. The anti-cancer properties of the compounds were evaluated in vitro against MCF-7 cell lines. Compounds 5 and 7 were specifically investigated for their growth-inhibitory effects on MCF7 breast cancer cells.
ResultsCompounds5 and 7 demonstrated strong binding affinity towards both mutated BRCA1 (PDB ID: 1N5O) and BRCA2 (PDB ID:8BR9). Furthermore, they displayed notable efficacy against MCF-7 cell lines.
ConclusionSynthesized compounds displayed activity against MCF-7 cell lines, supporting findings from in-silico predictions. Further investigations are warranted to elucidate the mechanisms of action of these selected molecules against MCF-7 cell types.
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From Proteomics to Diagnosis: Biomarker Discovery in Tuberculosis Research
Authors: Jiarong Yang and Jianhua ZhengAvailable online: 11 October 2024More LessTuberculosis (TB) is a leading cause of death from a single infectious disease worldwide. Early and accurate diagnosis is advantageous for timely detection and prompt treatment, thereby reducing the risk of disease transmission, which is essential for effective TB control. Biomarkers provide a valuable resource for TB diagnosis. Proteomic technologies have emerged as a powerful tool in biomarker discovery. In this perspective, we explore how proteomic technologies contribute to the discovery of TB diagnostic biomarkers. We also address the challenges and discuss prospective methods to augment the performance of biomarkers in diagnosing TB.
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Anticancer Drug Discovery from Natural Compounds Targeting PI3K/AKT/mTOR Signaling Pathway
Available online: 10 October 2024More LessThe term cancer is used to describe a complex pathology characterized by the uncontrollable proliferation of cells, which displays a fast metastatic spread, being a disease with difficult treatment. In this context, Phosphatidylinositol 3-kinase (PI3K) represents a promising pathway to be inhibited, aiming to develop anticancer agents, since it performs a pivotal role in regulating essential cellular processes, including cell proliferation, growth, autophagy, and apoptosis. In parallel, natural compounds can effectively represent a therapeutic strategy to fight against malignant cells. Then, compounds derived from various plant sources, such as flavonoids, terpenoids, alkaloids, coumarins, and lignans, have exhibited remarkable in vitro and in vivo anticancer properties. This review focused in the exploration of natural products targeting the PI3K/AKT/m-TOR signaling pathway, demonstrating that these compounds could even further investigated to reveal novel and effective anticancer drugs in the future.
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Discovery of 5-(Substituted Phenyl)-2-aryl Benzimidazole Derivatives as SIRT1 Activators: Their Design, in silico Studies, Synthesis, and in vitro Evaluation
Authors: Shilpi Chauhan, Ashwani Kumar, Rajnish Kumar and Deepika SainiAvailable online: 10 October 2024More LessAimSilent information regulator two homologue one (SIRT1) is an emerging target for managing metabolic disorders. This study aimed to synthesize novel 5-(substituted phenyl)-2-aryl benzimidazole derivatives and evaluate them for SIRT1 activation.
MethodsThe compounds were designed according to the findings of the QSAR models framed in our previous studies. Molecular docking and dynamics studies were also performed to explore the interactions of designed compounds with the active site of the SIRT1 enzyme using AutoDock Vina and Schrödinger Maestro version 11.8.012, respectively. Compounds with good binding affinity were synthesized by Suzuki-Miyaura cross-coupling and spectrally characterized. The molecules were evaluated for their in vitro SIRT1 activation properties using a fluorescent screening kit. Based on the results of in vitro assay, a structure-activity relationship was established. SwissADME was employed to calculate the pharmacokinetics characteristics of the synthesized molecules.
ResultsThe molecular docking studies revealed that all the activators were effectively docked in the catalytic active site. All compounds demonstrated interactions with important amino acids like Glu230 and Arg446. In molecular dynamics simulations, the root mean square deviation (RMSD) of compound 5m and protein SIRT1 remained stable, i.e., below 3mm. Compound 5m, 4-(2-(3,4-dihydroxy-5-nitrophenyl)-1H-benzo[d]imidazol-5-yl)benzaldehyde, was the most potent compound with an EC50 value of 0.006 mM (±0.001) and maximum activation of 240.5%. All the synthesized compounds had acceptable theoretical ADME profiles, and drug-likeness properties complied with Lipinski’s rule.
ConclusionAccording to the findings, synthesized compounds may be viable leads for SIRT1 activators and may be used to advance preclinical in vivo research utilizing animal models.
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Implementation of an Automated System Using Machine Learning Models to Accelerate the Process of In Silico Identification of Small Molecules As Drug Candidates
Available online: 10 October 2024More LessDrugs are commonly utilized to diagnose, cure, or prevent the occurrence of diseases, as well as to restore, alter, or change organic functions. Drug discovery is a time-consuming, costly, difficult, and inefficient process that yields very few medicinal breakthroughs. Drug research and design involves the capturing of structural information for biological targets and small molecules as well as various in silico methods, such as molecular docking and molecular dynamic simulation. This article proposes the idea of expediting computational drug development through a collaboration of scientists and universities, similar to the Human Genome Project using machine learning (ML) strategies. We envision an automated system where readily available or novel small molecules (chemical or plant-derived), as well as their biological targets, are uploaded to an online database, which is constantly updated. For this system to function, machine learning strategies have to be implemented, and high-quality datasets and high quality assurance of the ML models will be required. ML can be applied to all computational drug discovery fields, including hit discovery, target validation, lead optimization, drug repurposing, and data mining of small compounds and biomolecule structures. Researchers from various disciplines, such as bioengineers, bioinformaticians, geneticists, chemists, computer and software engineers, and pharmacists, are expected to collaborate to establish a solid workflow and certain parameters as well as constraints for a successful outcome. This automated system may help speed up the drug discovery process while also lowering the number of unsuccessful drug candidates. Additionally, this system will decrease the workload, especially in computational studies, and expedite the process of drug design. As a result, a drug may be manufactured in a relatively short time.
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Unveiling the Power of Mitochondrial Fission and Fusion: A Five-Gene Signature for Personalized Prognosis in Gastric Cancer
Authors: Bin Zhou, Ping Tie, Dongbing Li, You Lu and Yuanhua LiuAvailable online: 08 October 2024More LessBackgroundMitochondrial fission and fusion play important roles in tumorigenesis, progression and therapy. Dysregulation of these processes may lead to tumor progression, and regulation of these processes may provide novel strategies for cancer therapy. The involvement of genes related to mitochondrial fission and fusion (MD) in gastric cancer (GC) remains poorly understood.
ObjectiveThe aim of this study was to establish an MD gene signature for GC patients and to investigate its association with prognosis, tumor microenvironment and treatment response in GC.
MethodsWe use the TCGA-GC database as the cohort, focusing specifically on genes associated with MD. We conducted identification and consistency clustering analysis of differentially expressed genes in MD, conducted MD gene mutation and copy number variation analysis, as well as correlation and functional enrichment analysis between MD gene cluster classification and immune infiltration. TCGA-GC and GSE15459 were used to construct training and validation cohorts for the model. We used various statistical methods, including Cox and Lasso regression, to develop the model. We validated the model using bulk transcriptome and single-cell transcriptome datasets (GSE13861, GSE26901, GSE66229, and GSE13450). We used GSEA enrichment, CIBERSORT algorithm, ESTIMATE, and TIDE to gain insight into the annotation of MD signature and the characterization of the tumor microenvironment. OncoPredict was used to analyze the relationship between the PRG signature and the drug sensitivity. We validated the expression of several key genes in MD signature on GC cell lines using quantitative real-time PCR (qRT-PCR).
ResultsThese MDs-related subtypes exhibited different prognosis and immune filtration patterns. A five-gene signature, comprising AGT, HCFC1, KIFC3, NOX4, and RIN1, was developed. There was a clear distinction in overall survival between low- and high-risk patients. The analyses showed further confirmation of the independent prognostic value of the gene signature. There was a notable correlation between the MD signature, immune infiltration and drug susceptibility. The expression levels of AGT, HCFC1, KIFC3, NOX4 and RIN1 mRNA were all increased in these GC cells.
ConclusionThe MD signature has the capacity to significantly contribute to the prediction of personalized outcomes and the advancement of novel therapeutic strategies tailored for GC patients.
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Quassinoids as Promising Anti-cancer Agents
Authors: Tripti Mishra, Saima and Bimal Krishna BanikAvailable online: 04 October 2024More LessThe use of current anticancer drugs is hampered by significant side effects and high costs. In the pursuit of safer, more effective, and affordable options, researchers have turned to nature as a valuable source of potential anticancer compounds. Quassinoids, a class of natural terpenoids, have garnered attention for their anticancer properties. This comprehensive review aims to shed light on natural quassinoids and their anticancer effects, offering valuable insights for researchers dedicated to the development of novel anticancer therapeutics.
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Integrated Exploration of Pyranocoumarin Derivatives as Synergistic Inhibitors of Dual-target for Mpro and PLpro Proteins of SARS-CoV-2 through Molecular Docking, ADMET Analysis, and Molecular Dynamics Simulation
Available online: 03 October 2024More LessAimsThis study aimed to explore the potential of natural anticoagulant compounds as synergistic inhibitors of the main protease (Mpro) and papain-like protease (PLpro) of SARS-CoV-2 and find effective therapies against SARS-CoV-2 by investigating the inhibitory effects of natural anticoagulant compounds on key viral proteases.
ObjectiveThe objectives of this study were to conduct rigorous virtual screening and molecular docking analyses to evaluate the binding affinities and interactions of selected anticoagulant compounds with Mpro and PLpro, to assess the pharmacokinetic and pharmacodynamic profiles of the compounds to determine their viability for therapeutic use, and to employ molecular dynamics simulations to understand the stability of the identified compounds over time.
MethodIn this study, a curated collection of natural anticoagulant compounds was conducted. Virtual screening and molecular docking analyses were performed to assess binding affinities and interactions with Mpro and PLpro. Furthermore, pharmacokinetic and pharmacodynamic analyses were carried out to evaluate absorption, distribution, metabolism, and excretion profiles. Molecular dynamics simulations were performed to elucidate compound stability.
ResultNatural compounds exhibiting significant inhibitory activity against Mpro and PLpro were identified. A dual-target approach was established as a promising strategy for attenuating viral replication and addressing coagulopathic complications associated with SARS-CoV-2 infection.
ConclusionThe study lays a solid foundation for experimental validation and optimization of identified compounds, potentially leading to the development of precise treatments for SARS-CoV-2.
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Integrated Single-cell RNA-seq and Bulk RNA-seq Identify Diagnostic Biomarkers for Postmenopausal Osteoporosis
Authors: Hanyu Wang, Chong Peng, Guangbing Hu, Wenhao Chen, Yong Hu and Honglin PiAvailable online: 03 October 2024More LessAimWe aimed to explore diagnostic biomarkers of postmenopausal osteoporosis (PMOP).
BackgroundPMOP brings enormous physical and economic burden to elderly women.
ObjectivesThis study aims to screen new biomarkers for osteoporosis, providing insights for early diagnosis and therapeutic targets of osteoporosis.
MethodsWeighted gene co-expression network analysis (WGCNA) was applied to identify osteoporosis-related hub genes. Single-cell transcriptomic atlas of osteoporosis was depicted and the heterogeneity of monocytes was analyzed, based on which the biomarkers for osteoporosis were screened. Gene set enrichment analysis (GSEA) was conducted on the biomarkers. The diagnostic model (nomogram) was established and evaluated based on the expression levels of biomarkers. Additionally, the transcription factor (TF) regulatory network was constructed to predict the potential TF and targeted miRNA of biomarkers. The drugs with significant correlation with biomarkers were identified by Spearman correlation analysis.
ResultsWe obtained 30 osteoporosis-associated hub genes. 9 cell types were identified, and the monocytes were subdivided to 4 subtypes. Three biomarkers, DHX29, LSM5, and UBE2V2, were screened. DHX29 and UBE2V2 were highly expressed in non-classical monocytes, while LSM5 exhibited the highest expression in other monocytes, followed by non-classical monocytes. GSEA indicated that osteoporosis may be correlated with vascular calcification and the biomarkers may be involved in the formation of immune cells. Then, nomogram was constructed and exhibited good robustness. In addition, MYC and SETDB1 were the shared IF in three biomarkers, which may play critical regulatory roles in the progression of osteoporosis. Moreover, 41, 49, and 68 drugs appeared significant correlations with DHX29, LSM5, and UBE2V2, respectively.
ConclusionThis study provided a basis for early diagnosis and targeted treatment of osteoporosis.
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The Punicalagin Compound Mitigates Bronchial Epithelial Cell Senescence Induced by Cigarette Smoke Extractthrough the PAR2/mTOR Pathway
Authors: Jianguo Xu, Xin Li, Xiaoli Zeng, Hairong Bao and Xiaoju LiuAvailable online: 03 October 2024More LessBackgroundTobacco smoke is an important inducer of airway epithelial cell aging. Punicalagin(PCG) is a natural anti-aging compound. The effect of PCG on tobacco smoke-induced airway epithelial cell senescence is unknown.
ObjectiveOur study investigated whether PCG can treat the human bronchial epithelial cell line (BEAS-2B) aging by inhibiting the protease-activated receptor 2 (PAR2)/mTOR pathway.
MethodsBioinformatics techniques were used to analyze the potential biological functions of PAR2. Molecular dynamics evaluated the binding ability of PCG and PAR2. The CCK8 assay was used to detect the cytotoxicity of CSE and PCG. The activity of the PAR2/mTOR pathway and the expression of the characteristic aging markers p16, p21, and SIRT1 are detected by qRT-PCR and Western blotting. Cell senescence was observed by Senescence-associated β-galactosidase (SA-β-gal) staining. The senescence-associated secretory phenotype (SASP): concentrations of interleukin IL-6, IL-8, and TNF-α were detected by ELISA.
ResultsThe GSE57148 bioinformatics analysis dataset showed that PAR2 regulates lung senescence through the mTOR signaling pathway. Molecular dynamics results found that PCG and PAR2 had a strong and stable binding force. CSE induces BEAS-2B cell senescence and activates the PAR2/mTOR pathway. Inhibition of PAR2 mitigated the senescence changes. In addition, PCG's pretreatment can significantly alleviate CSE-induced BEAS-2B cell senescence while inhibiting the PAR2/mTOR pathway.
ConclusionPCG has a therapeutic effect on the senescence of airway epithelial cells.
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Nanomedicine in Management of Cerebral Infarction and Brain Cancer: Role of Inflammation
Authors: Vikas Kumar, Fahad Al Abbasi, Firoz Anwar and Jonathan A. LalAvailable online: 13 September 2024More LessIntroductionCerebral infarction, the blockage of blood vessels in the brain, is generally an age-related illness. Factors such as unhealthy diets, stressful behaviours and decreased environmental consistency with physiological barriers also contribute to increased casualties. Long-term brain function reconstruction and successful drug therapy are needed. The most frequent malignant brain tumour, glioblastoma, has been linked to variations in mitochondrial ROS, chaperone-mediated autophagy, and the interaction between lncRNA (BC200) and miRNA. Glioblastoma stem cells express high levels of ATP/P2X7 receptors, promoting survival by activating M2 muscarinic receptors.
Areas CoveredThis expert opinion provides an overview of the latest experimental drug therapies aimed at protecting against and restoring cerebral stroke.
Expert OpinionNanomedicine overcomes the challenges associated with traditional therapy and physiological obstacles in the treatment of cerebral infarction by improving stroke management, including diagnosis, imaging, and treatment, addressing a diverse range of associated factors.
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Trends in the Treatment of Chronic Wounds
Authors: Rohit Sharma, Jan Hruska, Lukas Peter, Kristina Randlova and Kamil KucaAvailable online: 13 September 2024More LessChronic wounds remain one of the significant burdens to health across the world, mainly in view of diabetes and its natural consequences. This category of lesions includes pressure ulcers, vascular diseases, and surgery-related wounds, which affect millions and pose a major challenge to the healthcare industry. The paper reviews the various physiological mechanisms of wound healing, factors that impede it, and some new treatments emerging at this moment. In contrast, current developments include surgical and non-surgical alternatives like topical dressings, medicated formulations, and skin substitutes. Advanced wound care today covers tissue-engineered skin substitutes, 3D-printed wound dressings, topical medicated formulations, and growth factor-based therapies. These are non-invasive, biocompatible methods that are cost-effective, user-friendly, and more conducive to natural healing than traditional therapies. Hydrogel dressings have high water content to create a moist environment that encourages healing. They also reflect excellent physicochemical and biological properties, which enhance autolytic debridement and reduction of pain due to the moisture retention, biocompatibility, and non-toxicity conferred. Tissue-engineered skin substitutes, comprising allogeneic or autologous cells, wound-healing enhancement bioengineered allogeneic cellular therapies are like the natural skin and encourage regeneration. 3D printing allows the production of customized dressings to aid in better treatment. Newer therapies, including bioengineered allogeneic cellular therapies and fish skin grafting, require more clinical trials to confirm safety and efficacy. With such innovations in wound healing technologies and therapies, the future looks quite promising in managing chronic wounds, enhancing healing, reducing healthcare expenditure, and promoting a better quality of life for patients.
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Targeting Fructosamine Oxidase (Amadoriase II) in Aspergillus fumigatus: Comprehensive Virtual Screening, ADMET Analysis, and Molecular Dynamics Simulation of Triazole Derivatives
Available online: 12 September 2024More LessIntroductionAspergillus fumigatus, a significant fungal pathogen, poses a threat to human health, especially in immunocompromised individuals. Addressing the need for novel antifungal strategies, this study employs virtual screening to identify potential inhibitors of Fructosamine oxidase, also known as Amadoriase II, a crucial enzyme in A. fumigatus (PDB ID: 3DJE).
MethodVirtual screening of 81,197 triazole derivatives was subjected to computational analysis, aiming to pinpoint molecules with high binding affinity to the active site of Fructosamine oxidase. Subsequently, an in-depth ADMET analysis assessed the pharmacokinetic properties of lead compounds, ensuring their viability for further development. Molecular dynamics simulations were performed to evaluate the stability of top-ranked compounds over time.
ResultsThe results unveil a subset of triazole derivatives displaying promising interactions, suggesting their potential as inhibitors for further investigation.
ConclusionThis approach contributes to the development of targeted antifungal agents, offering a rational starting point for experimental validation and drug development against Aspergillus fumigatus infections.
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Mitochondrial DNA Mutations in Colorectal Cancer Stem Cells: Implications for Tumor Dynamics and Therapeutic Strategies
Available online: 11 September 2024More LessThis review offers an in-depth analysis of mitochondrial DNA (mtDNA) mutations in colorectal cancer stem cells (CSCs), emphasizing their significant impact on tumor dynamics and potential therapeutic strategies. CSCs are a special subpopulation due to their unique capabilities for self-renewal, differentiation, and resistance to conventional therapies. Given that CSCs significantly differ from other tumor cell subpopulations, particularly in their metabolic properties, and considering that colorectal cancer is a malignancy characterized by mitochondrial dysfunction, this review aims to put together existing data on the differences in the mitochondrial genome of CSCs compared to other colorectal tumor cell subpopulations. Additionally, the review seeks to explore the potential roles of these differences and to identify new ideas for therapeutic strategies. Key topics include the identification and properties of CSCs in colorectal cancer, the distinctive features of the mitochondrial genome, and the functional consequences of mtDNA mutations. The review hypothesizes that CSCs rely on well-functioning mitochondria for crucial aspects like energy production; yet, mtDNA mutations can lead to mitochondrial dysfunction, altering CSC characteristics and influencing cancer progression. The article discusses emerging therapeutic approaches targeting mitochondrial function in colorectal CSCs and highlights the need for advanced research, including the development of preclinical models and exploration of targeted therapies, to improve the understanding and treatment of colorectal cancer.
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Potential Targets for the Protective Effect of Astaxanthin on Ethanol-induced Damage in Rat Liver Mitochondria
Authors: Olga Krestinina, Roman Krestinin, Irina Odinokova, Linda Sotnikova and Yulia BaburinaAvailable online: 30 August 2024More LessBackgroundAlcohol intoxication leads to multiple degenerative disorders in the structure and function of mitochondria. The mechanisms underlying these disorders, as well as ways to prevent them, are an urgent task in biomedicine. We investigate the mechanism of the positive effect of AX on rat liver mitochondria after chronic alcohol administration and suggest the targets of its effects. In this work, we continued our studies of astaxanthin (AX) as a possible protector of mitochondria from the toxic effects of ethanol.
MethodIn our experiments, we used the Lieber-DeCarly model of chronic alcohol intoxication, which allows high-dose alcohol intake. Four groups of animals were used in the experiments: group 1 (control), group 2 (treated with AX), group 3 (treated with ethanol), and group 4 (treated with ethanol and AX together). Rat liver mitochondria (RLM) were isolated by the standard method modified in our laboratory. A multifunctional chamber with built-in electrodes was used to determine mitochondrial functions. Electrophoresis followed by Western blot analysis was used to detect mitochondrial proteins. Statistical significance was calculated using t-test Student-Newman- Keuls test.
ResultAX has been shown to have a positive effect on the functioning of the mitochondrial permeability transition pore (mPTP), the regulation of signaling pathways, as well as mitochondrial dynamics. It was found that AX is able to suppress the degenerative effect of alcohol on liver mitochondria. Targets for the protective action of AX in rat liver mitochondria (RLM) have been proposed.
ConclusionThe discovered protective effect of AX on liver mitochondria during alcohol damage may contribute to the development of new strategies for the treatment of alcohol-induced damage
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