Current Medicinal Chemistry - Online First

Coronary atherosclerotic disease (CAD), clinically manifesting as progressive coronary atherosclerosis (As), involves endothelial cell (EC) dysfunction. HYMAI may contribute to atherogenesis by acting on ECs, but its regulation of endothelial injury and role in As pathogenesis remain unclear.

HYMAI expression was assessed via PCR array in blood samples from healthy individuals, patients with premature coronary atherosclerotic disease (PCAD), and patients with mature coronary atherosclerotic disease (MCAD) (each group consisting of 4 males and 2 females). Using male ApoE^−/− and LDLR^−/− mice fed with a high-fat diet (HFD) to model As, we evaluated the effects of endothelial-specific HYMAI overexpression on aortic lesions. Autophagy and apoptosis were analyzed in ox-LDL-treated human coronary artery endothelial cells (HCAECs).

HYMAI levels increased sequentially in healthy individuals, PCAD, and MCAD patients. In HFD-fed ApoE^−/− and LDLR^−/− mice, aortic atherosclerosis progressed with age, while HYMAI expression in aortic tissue declined. HYMAI overexpression in ECs promoted autophagy and attenuated atherosclerosis. In vitro, ox-LDL suppressed HYMAI, triggering autophagic inhibition and apoptotic activation in HCAECs. HYMAI overexpression rescued ox-LDL-impaired autophagy and suppressed apoptosis through the miR-19a-3p/ATG14 pathway. MiR-19a-3p overexpression reversed autophagic rescue and promoted apoptosis by repressing ATG14.

HYMAI upregulation counteracts ox-LDL-treated endothelial autophagic inhibition via the miR-19a-3p/ATG14 pathway, rescuing apoptosis and attenuating As in both in vivo and in vitro settings.

Our results demonstrated that HYMAI attenuated As progression in As mice and ox-LDL-treated HCAECs by enhancing endothelial autophagy through the miR-19a-3p/ATG14 axis. These findings establish HYMAI as a novel regulatory mechanism and provide a potential druggable target for As and CAD.

Klotho is a multifunctional protein with anti-aging properties that plays a role in regulating vitamin D and phosphate metabolism. Sarcopenia is characterized by the loss of muscle mass and strength and is an important public health concern due to its negative effects on health. The aim of this study was to investigate the association between α-Klotho levels and the frequency of sarcopenia in a diverse population.

This study analyzed data from 1,250 participants in the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016. Participants were divided into four subgroups based on serum α-Klotho levels. Sarcopenia was assessed using skeletal muscle index and handgrip strength measurements. Multivariable logistic regression analysis was used to determine the association between serum α-Klotho levels and sarcopenia.

There was a significant difference in serum α-Klotho levels between patients with sarcopenia and patients without sarcopenia. In an unadjusted multivariable logistic regression model, higher α-Klotho serum levels were associated with a lower risk of sarcopenia (p < 0.05). This trend was maintained in the partially adjusted model, indicating that higher levels of α-Klotho were associated with a lower risk of sarcopenia. However, the fully adjusted model did not show significance.

Several factors significantly influence the relationship between serum α-Klotho levels and sarcopenia, including sex, ethnicity, alcohol consumption, body mass index (BMI), vitamin D levels, and disease status. Our findings indicate that the risk of sarcopenia is elevated in individuals within the lowest quartile of serum α-Klotho levels. Furthermore, a negative correlation exists between α-Klotho levels and grip strength, observed in both the overall sample and the aging-related subgroup. These results highlight the necessity for further investigation into the complex interplay between α-Klotho and grip strength, particularly in the context of sarcopenia associated with renal disease.

Serum α-Klotho levels in different populations are negatively correlated with the risk of sarcopenia, suggesting that α-Klotho may be involved in the occurrence and development of sarcopenia. Therefore, measuring α-Klotho levels in clinical practice may be a valuable diagnostic tool to identify individuals at high risk of developing sarcopenia.

Hepatocellular Carcinoma (HCC) exhibits high recurrence rates, particularly when accompanied by Microvascular Invasion (MVI). We identified MVI-related biomarkers and established a prognostic model for personalized HCC treatment.

Data were downloaded from The Cancer Genome Atlas (TCGA) and HCCDB databases. Key radiomics features were identified using the support vector machine-recursive feature elimination (SVM-RFE) algorithm, and differential expression analysis was performed with DESeq2. This was followed by functional enrichment analysis using the clusterProfiler package. Through univariate and Lasso regression analyses, we constructed a robust RiskScore model to effectively stratify HCC patients into distinct risk groups based on the median RiskScore value. The model prediction performance was evaluated using ROC curves and Kaplan-Meier (KM) analysis. We used the CIBERSORT algorithm to characterize immune cell infiltration patterns and conducted GSEA to identify differentially activated pathways between the risk groups.

Radiomic analysis revealed four significant features strongly associated with MVI, enabling the construction of a nomogram model with robust classification performance (AUC = 0.742). Subsequent analysis identified 241 overlapping MVI-related Differentially Expressed Genes (DEGs) enriched in critical tumor proliferation and invasion pathways. A 10-gene RiskScore model was developed, demonstrating excellent prognostic discrimination in training and validation cohorts. CIBERSORT analysis revealed significant correlations between specific immune cell infiltration and the 10 genes. GSEA analysis showed significant enrichment of cell cycle regulation pathways in the high-risk group, suggesting their important role in MVI.

The RiskScore was established using MVI-related features for prognosis assessment in HCC.

Our findings provided novel biomarkers and a theoretical basis for the early diagnosis and personalized treatment of HCC.

To identify the critical genes, biological mechanisms, and signaling pathways involved in the therapeutic effects of quercetin on diabetic foot ulcers using network pharmacology and molecular docking approaches.

We identified pathological targets of diabetic foot ulcers (DFU) from GeneCards, OMIM, and TTD, and pharmacological targets of quercetin from STP, TCMSP, and PharmMapper. Intersection analysis revealed potential therapeutic targets. Core targets were determined via GO/KEGG enrichment, PPI network construction, and Cytoscape screening algorithms (Degree, Closeness, Betweenness). Molecular docking and dynamics simulations assessed quercetin-core target interactions and binding affinity.

After screening and intersecting the targets of quercetin and diabetic foot ulcers, 236 genes related to quercetin's anti-diabetic foot ulcer effects were identified, with six key genes emerging as critical: SRC, TP53, MAPK1, JUN, HSP90AA1, and AKT1. Enrichment analysis suggested that quercetin may modulate inflammatory imbalance(HSP90AA1), immunosuppression(JUN), and oxidative stress(SRC, TP53, MAPK1, and AKT1) during diabetic foot ulcer progression.

The relationship between these core targets and biological pathways in diabetic foot ulcers requires further experimental validation. Notably, molecular docking and dynamics simulation results confirmed strong binding affinity between quercetin and the core targets, supporting their potential therapeutic relevance.

Quercetin exerts anti-diabetic foot ulcer effects by regulating SRC, TP53, MAPK1, JUN, HSP90AA1, and AKT1. These hub genes may serve as promising candidates for future therapeutic interventions in diabetic foot ulcers.

The receptor for pyroglutamylated RF amide peptide (QRFPR) is a G protein-coupled receptor that plays a role in various physiological and pathological processes. However, a gap remains in our understanding of QRFPR's pan-cancer properties.

This study performs an extensive pan-cancer analysis of QRFPR utilizing large-scale genomic datasets, including The Cancer Genome Atlas (TCGA). We evaluated QRFPR expression levels in multiple malignancies and examined their correlations with clinical outcomes. Additionally, we investigated associations between QRFPR expression and immune cell infiltration using bioinformatics tools.

Our results reveal significant alterations in QRFPR expression across several cancer types, particularly breast, colorectal, and prostate cancers. Elevated levels of QRFPR are linked to poor prognosis in certain malignancies, such as uterine corpus endometrial carcinoma (UCEC) and mesothelioma (MESO), and correlate with increased infiltration of immune cells, especially T cells and macrophages. Pathway enrichment analyses suggest that QRFPR may impact critical signaling pathways associated with cell growth, apoptosis, and immune regulation.

The observed variations in QRFPR expression across cancer types suggest its diverse roles in tumor biology. Its association with unfavorable clinical outcomes in specific cancers, as well as its link to immune cell infiltration, highlights its multifaceted impact on tumor progression and microenvironment modulation.

Our findings underscore the potential of QRFPR as a prognostic biomarker and therapeutic target in cancer biology. Further investigations into its functional mechanisms could pave the way for precision medicine approaches in oncology.

Cholesterol plays a key role in maintaining tumor cell homeostasis. Reduced IGFBP6 expression is associated with an increased risk of breast cancer recurrence. Previous studies showed that IGFBP6 knockdown decreases cholesterol levels in the MDA-MB-231 cell line. This study aimed to investigate how IGFBP6 influences genes involved in cholesterol metabolism.

We used MDA-MB-231 breast cancer cells with IGFBP6 knockdown. Transcriptomic and proteomic analyses were performed, with selected gene expression validated by RT-PCR. Correlations between IGFBP6 and cholesterol-related genes were evaluated using public RNA-seq datasets.

IGFBP6 knockdown in MDA-MB-231 cells resulted in a threefold decrease in low-density lipoprotein receptor (LDLR) expression and a twofold reduction in LDLR adaptor protein (LDLRAP1) mRNA levels, both responsible for exogenous cholesterol uptake. Meanwhile, PCSK9 expression increased 11-fold (p-adj = 1.4E-93), further limiting uptake. Despite the upregulation of genes involved in endogenous cholesterol synthesis (HMGCS1, HMGCR, FDFT1, SQLE, DHCR24), total cholesterol content in knockdown cells decreased, leading to activation of the sterol-dependent transcription factor SREBF1 (OR = 6.44; p-adj = 0.036). Correlation analysis revealed a significant association between IGFBP6 expression and cholesterol synthesis genes in basal-like breast cancer.

The altered expression profile of multiple cholesterol metabolism-related genes with known prognostic value aligns with a transcriptional program typical of poor-outcome basal-like tumors. These findings support the role of IGFBP6 as a regulator of lipid metabolism and a potential biomarker for therapeutic stratification.

The results of this study indicate that the reduction in cholesterol levels observed in breast cancer cells following IGFBP6 knockdown is primarily due to decreased exogenous uptake. These findings highlight the role of IGFBP6 in regulating cholesterol metabolism and further explain its clinical significance in predicting breast cancer recurrence and progression.

Breast cancer has become the most commonly diagnosed cancer in women worldwide, with advanced cases often leading to bone metastases that significantly affect prognosis and quality of life. This meta-analysis and systematic review aims to evaluate and compare the diagnostic performance of [¹⁸F]FDG PET/CT and bone scintigraphy for detecting bone metastases in breast cancer patients.

A systematic search was conducted across PubMed, Embase, Web of Science, and Scopus for studies published up to February 2025. Relevant articles were identified using a combination of subject-specific and free-text keywords, including “breast cancer,” “positron emission tomography,” “bone scintigraphy,” and “bone metastasis.” Studies assessing the diagnostic utility of [¹⁸F]FDG PET/CT and bone scintigraphy in detecting bone metastases were included. A bivariate random-effects model was used to calculate pooled estimates of sensitivity, specificity, and diagnostic accuracy with 95% confidence intervals (CIs). Potential sources of heterogeneity were explored using meta-regression analysis. The Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was applied to evaluate the methodological quality of the included studies.

A total of 1407 publications were initially retrieved, and 13 studies involving 892 patients met the inclusion criteria. The pooled diagnostic performance for [¹⁸F]FDG PET/CT demonstrated a sensitivity of 0.91 (95% CI: 0.81-0.96) and a specificity of 0.98 (95% CI: 0.93-1.00), with an area under the curve (AUC) of 0.99 (95% CI: 0.97-0.99). In comparison, bone scintigraphy showed a sensitivity of 0.82 (95% CI: 0.72-0.89), specificity of 0.81 (95% CI: 0.73-0.87), and an AUC of 0.88 (95% CI: 0.85-0.91). Despite its higher diagnostic accuracy, PET/CT exhibited notable heterogeneity across studies, potentially influenced by differences in patient populations and imaging interpretation criteria.

Our meta-analysis demonstrated the superior diagnostic performance of [¹⁸F]FDG PET/CT over bone scintigraphy, likely attributable to its enhanced sensitivity for osteolytic lesions and integrated anatomical-functional imaging. Nevertheless, considerable inter-study heterogeneity and incomplete clinical data reporting limit the generalizability and robustness, warranting further standardized prospective investigations.

The findings suggest that [¹⁸F]FDG PET/CT offers superior diagnostic accuracy compared to bone scintigraphy for detecting bone metastases in breast cancer patients. However, its clinical application requires further validation through large-scale, prospective studies. Additionally, considerations such as cost-effectiveness and accessibility must be addressed before widespread clinical adoption.