Combinatorial Chemistry & High Throughput Screening - Volume 26, Issue 5, 2023

Deadly disease cancer has many types; among them, lung cancer is responsible for the highest number of cancer mortality. Existing therapies as well as drugs for treating lung cancer are not effective and are often associated with innumerable side effects and toxicities. For these reasons, researchers have been working on developing novel anti-cancer medicines from plants and other natural sources that have a high safety profile. Natural flavonoids are a polyphenolic group of phytochemicals extracted from plants and other plant-derived compounds. Natural flavonoids are gaining popularity due to their unique and priceless medicinal properties, including anticancer properties. Several researchers have already declared that flavonoids possess the ability to treat different cancers, particularly lung cancer. The bioactivity of natural flavonoids is mainly due to their structural diversity. Natural flavonoids fight against lung cancer by regulating redox homeostasis, upregulating apoptosis, pro-apoptotic factors, and survival genes, arresting cell cycle progression, autophagy, reducing cell proliferation and invasiveness, maintaining inflammation response, downregulating anti-apoptotic factors, and targeting lung cancer signaling pathways. Flavonoids can act alone or synergistically with other agents to treat lung cancer. Due to these reasons, it is possible to use natural flavonoids as pharmaceutical leads to prevent and treat lung cancer.

Indian Arrowroot (Curcuma angustifolia Roxb) belonging to the Zingiberaceae family is widely distributed in India and some parts of Nepal, Thailand, Bangladesh and Pakistan. It is traditionally used as medicine for treating various diseases and also used as food. Few data are available about its application in pharmacology and therapeutics. Literature search for related contents, keywords such as “Curcuma angustifolia Roxb”, “traditional food”, “ethnomedicine”, “pharmacology”, “phytochemicals”, “pharmacological activities” were used in search engines including PubMed, Google Scholar, Scopus, ScienceDirect, and Semantic Scholar. Secondary metabolites found in Indian Arrowroot include essential oils, alkaloids, flavonoids, terpenoids, phytosterols, terpenes, phenols, and others. Pharmacological activities such as antioxidant, antiinflammatory, anti-proliferative, anti-ulcerogenic, hepatoprotective, and anti-cancerous activities have been shown by Indian Arrowroot (Curcuma angustifolia Roxb). The presence of nutritional value and pharmaceutical potential gained demand in the various food production industries and pharmacology research. It may play a vital role in future studies of Curcuma angustifolia Roxb as ethnomedicine and further exploitation in pharmacological studies.

For several decades, studies have reported that n-3 polyunsaturated fatty acids (PUFAs) play a beneficial role in cardiovascular, immune, cognitive, visual, mental and metabolic health. The mammalian intestine is colonized by microbiota, including bacteria, archaea, viruses, protozoans, and fungi. The composition of the gut microbiota is influenced by long-term dietary habits, disease-associated dysbiosis, and the use of antibiotics. Accumulating evidence suggests a relationship between n-3 PUFAs and the gut microbiota. N-3 PUFAs can alter the diversity and abundance of the gut microbiome, and gut microbiota can also affect the metabolism and absorption of n-3 PUFAs. Changes in the populations of certain gut microbiota can lead to negative effects on inflammation, obesity, and metabolic diseases. An imbalanced consumption of n-3/n-6 PUFAs may lead to gut microbial dysbiosis, in particular, a significant increase in the ratio of Firmicutes to Bacteroidetes, which eventually results in being overweight and obesity. N-3 PUFA deficiency disrupts the microbiota community in metabolic disorders. In addition, accumulating evidence indicates that the interplay between n-3 PUFAs, gut microbiota, and immune reactions helps to maintain the integrity of the intestinal wall and interacts with host immune cells. Supplementation with n-3 PUFAs may be an effective therapeutic measure to restore gut microbiota homeostasis and correct metabolic disturbances associated with modern chronic diseases. In particular, marine extracts from seaweed contain a considerable dry weight of lipids, including n-3 PUFAs such as eicosapentaenoic acid (EPA, C20: 5) and docosahexaenoic acid (DHA, C22: 6). This review describes how gut microbiota function in intestinal health, how n-3 PUFAs interact with the gut microbiota, and the potential of n-3 PUFAs to influence the gut-brain axis, acting through gut microbiota composition.

Aim and Objective: To assess the relationship between serum folate and schizophrenia (SZ) risk in the Chinese Han adult population in different papers, a systematic review and metaanalysis were conducted. Materials and Methods: We searched for this meta-analysis on three English databases (PubMed, Embase, and Web of science) and four Chinese databases (CNKI, SinoMed, Wanfang, and CQVIP) on March 27, 2021. Inclusion criteria: studies provided folate levels in serum of cases and controls as mean and standard deviation. Exclusion criteria: subjects were not Chinese Han adult population. The Newcastle-Ottawa Scale score was used to assess the risk of bias in the included studies. Standard mean difference (SMD) was used to measure the difference between SZ patients and healthy controls. Subgroup analyses by measurement time, duration, and age were performed, respectively. Results: This meta-analysis included 19 publications involving 1571 SZ cases and 1283 healthy controls. In total studies, the pooled result showed that SZ patients had decreased serum folate levels compared with healthy controls (SMD [95%CI] = -1.37[-1.83,-0.90], PSMD<0.001), and in most of the subgroups, the associations reached decreased significantly; while in the subgroup of drugs use, the association was not reached significantly. Conclusion: Dose-response analysis and subgroup analyses by gender were not performed due to the lack of data. Folate deficiency is associated with the patients, and antipsychotic drugs might have positive effects on improving serum folate levels in Chinese Han adult SZ.

Background and Objective: Although many trials have evaluated the use of dehydroepiandrosterone to improve outcomes in poor responders undergoing assisted reproductive technology treatment, evidence supporting this approach is controversial. We aimed to conduct a systematic review and meta-analysis of existing published data to further elucidate and supplement the use of Dehydroepiandrosterone (DHEA) to improve the effectiveness of vitro fertilization in patients with diminished ovarian reserve or adverse ovarian reactions. Methods: PubMed, Embase, Cochrane Library, and the Web of Science databases were searched through December 2020. Oocyte yield, metaphase II oocytes, fertilized oocytes, top-quality embryos, clinical pregnancy rate, ongoing pregnancy rate, and live birth rate were analyzed as relative outcomes. Meta-analysis was performed and fitted to both fixed-effects models and random-effects models. Results: Eight prospective randomized controlled studies, five prospective case-control studies, and three retrospective cohort studies were conducted with a total of 1998 participants. Meta-analyses of these studies showed a significantly higher number of oocytes retrieved (WMD 1.09, 95% CI 0.38 to 1.80), metaphase II oocytes (WMD 0.78, 95% CI 0.16 to 1.40), fertilized oocytes (WMD 0.84, 95% CI 0.42 to 1.26), top-quality embryos (WMD 0.60, 95% CI 0.34 to 0.86), clinical pregnancy rate (RR 1.35, 95% CI 1.13 to 1.61), and ongoing pregnancy rate (RR 1.82, 95% CI 1.34 to 2.46), although there was no difference in live birth rate (RR 1.35, 95% CI 0.94 to 1.94) in the DHEA supplementation groups compared with that in the control groups. Conclusion: Oral DHEA supplementation appears to improve some IVF outcomes. On the basis of this limited evidence, we conclude that further studies are required to provide sufficient data.

Background: Tyrosine kinase inhibitors are widely used in the treatment of non-small cell lung cancer. However, the exact role of these inhibitors, particularly in the reduction of mortality of non-small cell lung cancer, is unclear so far. As a result, we used RevMan 5 to conduct a meta- analysis of accessible data from randomised clinical trials. Methods: The studies were categorised based on the inclusion and exclusion criteria after being collected from PubMed using appropriate MeSH terms. The fixed or random effect model was used based on heterogeneity among studies. The overall estimate was estimated as an odd ratio with a confidence interval of 95%. The heterogeneity among studies was calculated by I² and Cochrane Q test. The qualitative analysis of publication bias was done using a funnel plot. Results: The overall estimate measures [OR 1.02 (0.83, 1.25)] have shown non-significant role of tyrosine kinase inhibitors in reduction of deaths of non-small cell lung cancer patients as compared to non-tyrosine kinase inhibitors group. The subgroup analysis of individual tyrosine kinase inhibitors (erlotinib, gefitinib, afatinib, osimertinib and vandetanib) has also shown similar findings. Conclusion: Based on available data, there is no significant role played by tyrosine kinase inhibitors in the reduction of deaths of non-small cell lung cancer patients.

Objective: As a subgroup of lung cancer, small cell lung cancer (SCLC) is characterized by a short tumor doubling time, high rates of early occurred distant cancer spread and poor outcomes. Our study aimed to identify novel molecular markers associated with SCLC prognosis. Methods: Microarray data from the Gene Expression Omnibus (GEO) database of SCLC tumors and paired normal tissues were obtained. In the dataset, Differentially expressed genes (DEGs) which were identified by comparing gene expression between normal lung and SCLC samples, were screened using the R language. The STRING database was used to map protein-protein interaction (PPI) networks, and these were visualized with the Cytoscape software. Go enrichment analysis and prediction were performed using the Metascape database and the results were visualized. Autophagy-related prognostic genes were identified by univariate COX regression analysis. Subsequently, stepwise model selection using the Akaike information criterion (AIC) and multivariate COX regression model was performed to construct DEGs signature. Survival receiver operating characteristic (ROC) analysis was used to assess the performance of survival prediction. At last, we evaluated the differences in drug sensitivity of the two groups of patients to common chemotherapeutic drugs and small-molecule targeted drugs. Results: A total of 441 identified DE genes, including 412 downregulated and 29 upregulated genes were identified. GO enrichment analyses showed that DEGs were significantly enriched in the collagen-containing extracellular matrix and extracellular matrix organization. 16 genes were individually associated with OS in univariate analyses. The high expression of 6 genes (HIST1H4L, RP11-16O9.2, SNORA71A, SELV, FAM66A and BRWD1-AS1)) was associated with the poor prognosis of SCLC patients. To predict patients’ outcomes, we developed an individual’s risk score model based on the 6 genes. We found that SCLC patients with a low-risk score had significantly better survival than those with a high-risk score. What’s more, association analysis between clinicopathological factors and gene signature showed the risk score was higher in patients with higher clinical stage or T stage. What’s more, the patients in the high-risk score group had better treatment effects for etoposide and docetaxel. This suggests that our model can guide clinical treatment decisions. Conclusion: A novel six-gene signature was determined for prognostic prediction in SCLC. Our findings may provide new insights into the precise treatment and prognosis prediction of SCLC.

Aims: Atractylodes macrocephala is a traditional Chinese medicine with a variety of pharmacological activities. This study aimed to evaluate its anti-hyperuricemia and antiinflammatory effects on gout, and to preliminarily explore its mechanism. Methods: The hyperuricemia rat model was established by intraperitoneal injection of oteracil potassium and intragastric gavage of yeast powder solution. And the acute gouty arthritis (GA) model was established by injecting monosodium urate (MSU) suspension. In the study of the antihyperuricemia effect of Atractylodes macrocephala, the healthy male Sprague-Dawley rats were randomly divided into the blank group, hyperuricemia group allopurinol group as well as low, moderate and high dose groups of Atractylodes macrocephala decoction (N=8 rats in each group). Serum, liver and kidney tissue samples were collected from each group. Serum uric acid (UA), adenosine deaminase (ADA) and xanthine oxidase (XOD) levels in each group were detected by enzyme-linked immunosorbent assay (ELISA). Protein levels of ADA and XOD in liver tissues were detected by Western blot, and renal histological changes were observed by Hematoxylin-eosin (H) and Masson staining. In order to investigate the anti-inflammatory effect of Atractylodes macrocephala, the healthy male Sprague-Dawley rats were randomly divided into the blank group, GA group, colchicine group, high, moderate and low dose groups of Atractylodes macrocephala decoction (N=8 rats in each group), and serum and synovial tissue of each group were collected. Then the level of serum interleukin (IL)-1β and tumor necrosis factor (TNF)-α was observed by ELISA, and the histological changes of synovial tissue were observed by H staining. Besides, the expression of adenosine monophosphate- activated protein kinase (AMPK) /silent information regulator (SIRT) 1/ nuclear factor kappa B (NF-ΚB) protein in synovial tissue was observed by Western blot and immunohistochemistry. The markers of M1 and M2 macrophages, inducible nitric oxide synthase (iNOS) and arginase-1 (ARG1) were observed by Western blot and immunofluorescence. Results: Atractylodes macrocephala could reduce the production of UA by inhibiting the level of ADA and XOD, and could improve renal injury and fibrosis. In addition, Atractylodes macrophages could reduce the levels of IL-1β and TNF-α, activate AMPK/SIRT1 signaling pathway, and inhibit the activation of NF-ΚB and the polarization of macrophages to a pro-inflammatory phenotype. Conclusion: Atractylodes macrocephala shows good anti-hyperuricemic and anti-inflammatory effects, and its anti-inflammation pharmacological activity may be related to the inhibition of M1 macrophage polarization and NF-ΚB activation through activating AMPK/SIRT1.

Background: There exists a lack of effective tools predicting prognosis for cutaneous melanoma patients. Glycolysis plays an essential role in the carcinogenesis process. Objective: We intended to construct a new prognosis model for cutaneous melanoma. Methods: Based on the data from the TCGA database, we conducted a univariate Cox regression analysis and identified prognostic glycolysis-related genes (GRGs). Meanwhile, the GSE15605 dataset was used to identify differentially expressed genes (DEGs). The intersection of prognostic GRGs and DEGs was extracted for the subsequent multivariate Cox regression analysis. Results: A prognostic signature containing ten GRGs was built, and the TCGA cohort was classified into high and low risk subgroups based on the risk score of each patient. K-M analysis manifested that the overall survival of the high-risk group was statistically worse than that of the lowrisk group. Further study indicated that the risk-score could be used as an independent prognostic factor that effectively predicted the clinical prognosis in patients of different ages, genders, and stages. GO and KEGG enrichment analysis showed DEGs between high and low risk groups were enriched in immune-related functions and pathways. In addition, a significant difference existed between high and low risk groups in infiltration pattern of immune cells and expression levels of inhibitory immune checkpoint genes. Conclusion: A new glycolysis-related gene signature was established for identifying cutaneous melanoma patients with poor prognoses and formulating individualized treatment.

Objective: The National Health and Nutrition Examination Survey (NHANES) data has been used to study the relationship between fasting plasma glucose (FPG) and glycohemoglobin (A1c) in patients with allergic symptoms and specific sensitization, respectively. Methods: A total of 1,687 participants and a variety of logistic regression models were selected based on the 2005-2006 NHANES (n = 10,348) for our study to describe the relationship between FPG and A1c in subjects with the sensitivity of allergic symptoms, specific sensitization and specific sensitization of 19 allergens, respectively. On this basis, a variety of logistic regression models were further established for hierarchical analysis to study the limiting conditions when FPG and A1c were related to allergic symptoms. Results: We adjusted the confounding factors and found that the risk of specific sensitization increased with the increase in FPG and A1c. Stratified analysis showed that the risk of allergic symptoms increased with the increase in FPG and A1c when born elsewhere other than in the U.S. and Mexico or underweight or overweight or with hypertension. Furthermore, we found that the risk of egg sensitization increased with the increase in FPG and A1c, while the risk of rat sensitization decreased with the increase in FPG. Conclusion: Under certain conditions, FPG and A1c were risk factors for allergic symptoms. FPG and A1c were risk factors for specific sensitization, especially egg sensitization. These findings indicate a possible link between diabetes and allergies.

Aims: Different nociceptive models induced with heat and chemicals were used to assess the potency of emodin in alleviating pain. The anti-inflammatory properties of emodin at different doses were also assessed using different anti-inflammatory in vivo models. Objective: Pain management is a global problem nowadays, and nonsteroidal anti-inflammatory drugs (NSAIDs) are commonly prescribed to assuage inflammation and alleviate pain. Prolonged usage of these NSAIDs triggers various adverse drug reactions (ADRs). The dose-dependent effect of emodin was assessed by treating mice with three different doses (5, 10, and 20 mg/kg bwt) of emodin. Methods: The effects of emodin in various nociceptive and inflammatory models were assessed. The anti-nociceptive potential of emodin was evaluated with the hot plate and tail immersion tests. The effects of emodin on acetic acid-, glutamate-, capsaicin-, and formalin-stimulated pain models were examined. The anti-inflammatory potency of emodin was examined in a carrageenan-induced inflammatory model. The sedative effect of emodin was assessed by an open field test. Results: Emodin potentially prevented the nociception provoked by thermal stressors during the hot plate and tail immersion methods and from chemical stressors such as acetic acid, formalin, capsaicin, and glutamate. The anti-inflammatory action of emodin was evidenced by carrageenaninduced paw edema and peritoneal leukocyte penetration. The open field results confirmed that emodin induced a mild sedative effect on the treated mice. Conclusion: Our overall results obtained from this study confirmed that emodin exhibits potent anti- nociceptive and anti-inflammatory effects.

Objective: Malignant melanoma with gastric cancer is one of the most malignant tumors. However, there have been no reports on the effects of KAI1 and miRNA-633 on the survival and prognosis of patients with malignant melanoma with gastric cancer. Methods: Fifty patients with malignant melanoma and gastric cancer were collected from October 2017 to December 2019. The clinical parameters included clinical information, such as sex, age, tumor size, and tumor staging. RT-qPCR was used to detect the expression of KAI1 and miRNA- 633. The role of KAI1 and miRNA-633 on the overall survival of melanoma was explored by the Pearson chi-square test, Spearman-rho correlation test, Univariate and multivariate cox regression analyses, and Kaplan–Meier method. Furthermore, the bioinformatic analysis was used to verify the role of KAI1 and miRNA-633 on malignant melanoma with gastric cancer. Results: The expression of KAI1 and miRNA-633 was significantly related with the tumor size and staging of tumor (p<0.05) based on the Pearson chi-square test. Spearman’s correlation coefficient displayed that KAI1 was significantly correlated with the miRNA-633 (ρ=-0.439, p=0.001). The result of multivariate cox proportional regression analysis showed that KAI1 (HR =0.109, 95% CI: 0.031-0.375, p< 0.001), and miRNA-633 (HR = 13.315, 95% CI: 3.844-46.119, p<0.001) were significantly associated with overall survival. Conclusion: The low expression level of KAI1 and high expression of miRNA-633 are significantly correlated with the poor overall survival prognosis of malignant melanoma with gastric cancer, to provide a basis for KAI1 and miRNA-633 to become novel molecular targets for malignant melanoma with gastric cancer.

Background: Huangqi with the capacity to resist virus and preserve myocardium is a potential herb for treating patients with COVID-19 and related myocardial injury. Methods: We applied network pharmacology method and programming software including R and Perl to explore the probable mechanism of Huangqi fighting against the disease. Ingredients and target gene names of Huangqi were obtained from TCMSP database. Disease-associated genes were mined by searching GeneCards database. Venny online software was applied to draw Venn diagram of intersection genes. Cytoscape software was used to set up the network of disease, drug, compounds and targets. STRING database was applied to set up protein protein interaction (PPI) network. With intersection genes imported into WEBGESALT database, gene ontology (GO) analysis was completed. An R script basing on Kyoto Encyclopedia of Genes and Genomes (KEGG) database was applied to obtain KEGG pathways. Finally, we used AutoDockTools 1.5.6 software for molecular docking and PyMOL to visualize the docking details. Results: We obtained 20 active components and 18 potential target genes to construct a network, and found out quercetin and kaempferol were core ingredients. Key targets included EGFR, MAPK8, IL6, CASP3, RELA and PPARG. Huangqi showed its potential to reduce inflammatory response to prevent cytokine storm by inhibiting EGFR, IL6 and MAPK and protect myocardium by inhibiting apoptosis and oxidant stress. Huangqi may also work by adjusting ubiquitin and regulating multiple viral pathways. Conclusions: Huangqi may play a therapeutic role in treating COVID-19 with myocardial injury by the effects of resisting virus and protecting myocardium concurrently.

Background: Turning the “cold” tumor immune microenvironment into “hot” is a critical issue in cancer treatment today. Hormone receptor-rich breast cancer (HR+ BC) was previously considered immunologically quiescent. Objective: This study aims to explore the immunomodulatory effects of endocrine therapy on HR+ BCs. Methods: The infiltrations and alterations of the tumor immune microenvironment in HR+ BCs before, after 10-14 days, and after three months of neoadjuvant endocrine therapy were computationally analyzed according to MCP-counter, CIBERSORT, xCell algorithms, and gene-set enrichment analysis (GSEA). The primary microarray data were obtained from three HR+ BC gene expression datasets (GSE20181, GSE55374, and GSE59515). Single-sample GSEA of hallmark and immune response gene sets was performed to evaluate the correlation between suspected treatment response and activated immune pathways in tumors. Results: Both immune and stromal cells were specifically recruited into the HR+ BCs who responded to the neoadjuvant endocrine therapy by letrozole. Besides the enhanced infiltrations of immunosurveillance-related cells such as CD8⁺ T cells, dendritic cells, and the activation of immune response-related signals, the immunosuppressive M2-like macrophages, as well as the expression of immune checkpoint genes like PDCD1, SIRPA, and some HLA genes, were also stimulated in responders. We identified four pretreatment indicators (the intrinsic luminal subtype, the estrogen response early/late pathway, and the epithelial-mesenchymal transition pathway) as potential predictors of both clinical response and the activation of the tumor immune microenvironment post letrozole. Conclusion: Neoadjuvant endocrine therapy showed a promising way to convert the immunologically “cold” HR⁺ BCs into “hot” tumors. This study provides new insights into the application of immunotherapy for HR⁺ BCs, especially those who respond to endocrine therapy.

Background: Radiation-induced oral mucositis (RIOM) is an intractable inflammatory disease whose pathogenesis needs to be clarified. “Kouchuangling” (KCL), a traditional Chinese medicine formula, is composed of Lonicerae Japonicae Flos, Radix Paeoniae Rubra, and Radix Sanguisorbae. Although all of them are Chinese folk medicines which have long been utilized for ameliorating inflammation, the mechanism of KCL to RIOM remains unclear. Purpose: To predict the active ingredients of KCL and identify the mechanism of KCL on RIOM. Materials and Methods: We identified the chemical ingredients in KCL using TCM Systems Pharmacology (TCMSP), TCM@Taiwan, PubChem, and SuperPred databases and used the oral bioavailability (OB), drug-like properties (DL) and Degree of compounds for screening. Targets for oral mucositis were obtained from the Online Mendelian Inheritance in Man (OMIM), Therapeutic Target Database (TTD), PharmGKB, and DrugBank databases. Cytoscape 3.7.0 was used to visualize the compound-target-disease network for KCL and RIOM. The biological processes of target gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were analyzed using DAVID. Results: Based on OB≥30%, DL≥0.18 and Degree≥3, 24 active ingredients and 960 targets on which the active components acted were identified. A total of 1387 targets for oral mucositis were screened. GO enrichment and KEGG pathway analyses resulted in 43 biological processes (BPs), 3 cell components (CCs), 5 molecular functions (MFs), and 32 KEGG pathways, including leishmaniasis, Toll-like receptor signaling, TNF signaling, and Influenza A pathways. Conclusion: This experiment preliminarily verified that the active ingredients of KCL play a role in the treatment of RIOM through multiple targets and pathways, providing a reference for further study of the pharmacological mechanism of Chinese herbal medicine.

Background: Oxidative/antioxidant imbalance is considered a causal cause of diminished ovarian reserve (DOR). 8-oxyguanine DNA glycosylase (OGG1) has been reported to act as an antioxidant by binding non-catalytically to oxidation-induced DNA damage in the promoter region. Objective: This study aimed to evaluate serum OGG1 concentrations in patients with or without DOR and to explore the clinical value of OGG1 as a novel diagnostic indicator for DOR. Methods: Sixty-four women with DOR and seventy-eight women with normal ovarian reserve (NOR) from the reproductive medical center of Renmin Hospital of Wuhan University were included. Enzyme-linked immunosorbent assay (ELISA) kits were used to determine serum OGG1 levels in patients on 2-5 days of the menstrual cycle. Data regarding the enrolled patients were also obtained from the database of the hospital, including age, body mass index (BMI), anti-Müllerian hormone (AMH), etc. Results: OGG1 levels were increased in the DOR group (2.08 ± 0.70 vs 1.46 ± 0.47 nmol/L, P < 0.001) and negatively correlated with AMH levels (Spearman r = -0.586, P < 0.001). After adjusting for age and BMI, a negative association between OGG1 and AMH remained (β = -0.619, P < 0.001). ROC curve analysis showed that a cut-off value of 1.765 nmol/L had an appropriate sensitivity (81.30%) and specificity (76.90%) for discriminating individuals with and without DOR, with the area under the curve (95% CI) of 0.870 (0.814 to 0.926), P < 0.001. Conclusion: We determined that serum OGG1 levels might be suggested as a new diagnostic indicator for DOR.