Shared diagnostic genes and potential mechanisms between polycystic ovary syndrome and recurrent miscarriage revealed by integrated transcriptomics analysis and machine learning

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 27, 2024

Objective More and more studies have found that polycystic ovary syndrome (PCOS) is significantly associated with recurrent spontaneous abortion (RSA), but the specific mechanism not yet clear. Methods Based on GEO database, we downloaded PCOS (GSE10946, GSE6798 GSE137684) RSA (GSE165004, GSE26787 GSE22490) datasets performed differential analysis, weighted gene co-expression network (WGCNA), functional enrichment, machine learning, respectively, of two diseases, Nomogram integrated bioinformatics analysis such as immune infiltration analysis. Finally, reliability diagnostic was verified by external verification collection human specimens. Results In this study, were obtained from Gene Expression Omnibus (GEO) a total 23 shared genes WGCNA GO results showed mainly enriched in functions lipid catabolism cell cycle transition (G1/S). DO enrichment revealed are involved ovarian metabolism disorders psychological disorders. KEGG significant Regulation lipolysis adipocytes, Prolactin signaling pathway, FoxO Hippo pathway other pathways. A FAM166 B learning screening, which played an important role Cellular component. GSEA FAM166B may be development regulating cycle, amino acid metabolism, carbohydrate metabolism. CIBERSORT high expression closely related to imbalance multiple cells. Further qPCR suggested could used common marker RSA. Conclusions summary, study identified biomarker for RSA, conducted in-depth research gene, providing new data basic experimental early prognosis, diagnosis treatment clinical diseases.

Language: Английский

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Single-cell technology for drug discovery and development

Frontiers in Drug Discovery, Journal Year: 2024, Volume and Issue: 4

Published: Oct. 18, 2024

The success rate of drug development today remains low, with long cycles and high costs, especially in areas such as oncology, neurology, immunology, infectious diseases. Single-cell omics, encompassing transcriptomics, genomics, epigenomics, proteomics, metabolomics enable the analysis gene expression profiles cellular heterogeneity from perspective individual cells, offering a high-resolution view their functional diversity. These technologies can help reveal disease mechanisms, target identification validation, selection preclinical models candidate drugs, clinical decision-making based on response to all at single-cell level. deep learning technology has provided powerful tool for research discovery techniques, which evolved advent large-scale public databases predict responses targets. In addition, traditional Chinese medicine (TCMs) also entered era technology. omics offer an alternative way deciphering mechanisms TCMs treatment, revealing targets, screening new designing combinations TCMs. This review aims explore application comprehensively, highlighting how they accelerate process facilitate personalized by precisely identifying therapeutic predicting responsiveness, action. It is concluded that efficacy drugs be improved combining artificial intelligence techniques.

Language: Английский

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Application of Sini Decoction at acupoint on gastrointestinal dysfunction in patients with sepsis: A clinical study

Medicine, Journal Year: 2024, Volume and Issue: 103(44), P. e40464 - e40464

Published: Nov. 1, 2024

The occurrence of gastrointestinal dysfunction is widely recognized as a prevalent complication in patients with sepsis. To investigate clinical effect Sini Decoction at acupoint on sepsis patients. Seventy-five caused by were randomly divided into 2 groups. Treatment group received routine Western medicine treatment combined acupoint, while control treated talcum powder acupoint. Treatments both groups lasted 7 days. Changes the acute physiology and chronic health evaluation II score, sequential organ failure assessment mechanical ventilation duration, length Intensive Care Unit (ICU) stay, enteral nutrition tolerance scores, abdominal circumference, gastric residual volume, bowel sounds, serum index observed. After treatment, levels lactate interleukin-6 significantly lower compared to group. Bowel sounds more active motilin higher Additionally, ICU stay was shorter than Our findings demonstrated that application acupoints can effectively enhance function, leading reduction duration an improvement patients’ prognosis.

Language: Английский

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4-Octyl itaconate inhibits vascular calcification partially via modulation of HMOX-1 signaling

European Journal of Pharmacology, Journal Year: 2024, Volume and Issue: 985, P. 177122 - 177122

Published: Nov. 10, 2024

Language: Английский

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