The Value of lncRNAs as a Biomarker for the Diagnosis of Gestational Diabetes: A Meta-Analysis DOI
Fan Yang, Xin Chen, Yang Song

et al.

Hormone and Metabolic Research, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Abstract Gestational diabetes mellitus (GDM) is a common metabolic disorder in pregnancy and leads to serious harm the mother fetus. A variety of lncRNAs play key role GDM. This meta-analysis was performed explore potential value GDM diagnosis. Articles correlated with lncRNA were screened from Embase, Medline, EBSCO, PubMed, Chinese National Knowledge Infrastructure, WanFang databases. Summary receiver operator characteristic (SROC) evaluate pooled area under curve (AUC). Forest plot conducted calculate sensitivity, specificity, diagnostic likelihood ratio (LR), score, odds (DOR). Deeks’ funnel utilized publication bias. Eleven articles containing 12 tests (1060 patients 1066 controls) included this meta-analysis. AUC (0.89, 95%CI=0.86–0.92), sensitivity (0.84, 95%CI=0.80–0.87), specificity (0.81, 95%CI=0.77–0.85)of SROC showed high for Positive LR (PLR 4.40, 95%CI=3.45–5.60) negative (NLR 0.20, 95%CI=0.15–0.26) results indicated that diagnosis had low clinical utility. Diagnostic score (3.09, 95%CI=2.62–3.57) DOR (22.04, 95%CI=13.68–35.51) suggested have good discriminative effect on Heterogeneity significantly higher, but not induced by subgroups. LncRNAs GDM, utility high. study offers target

Language: Английский

Long Non-Coding RNAs in Diabetic Cardiomyopathy: Potential Function as Biomarkers and Therapeutic Targets of Exercise Training DOI
Jie Hu, Xudong Miao,

Li-Hua Yu

et al.

Journal of Cardiovascular Translational Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

Language: Английский

Citations

0
The human‐specific noncoding RNA RP11‐424G14.1 functions at the intersection of sexually dimorphic pathways in inflammation, senescence, and metabolism DOI Creative Commons
Kameron Kennicott,

Yun Liang

FASEB BioAdvances, Journal Year: 2025, Volume and Issue: 7(2)

Published: Jan. 8, 2025

Abstract Sexual dimorphism is a fundamental characteristic of various physiological and pathological processes in humans, including immune responses, senescence, metabolism. Most studies on the sex bias have focused hormones or female‐biased genes, whereas male‐biased genetic factors remain understudied. Here, we show that Y‐linked noncoding RNA, RP11‐424G14.1 , expressed human male keratinocytes. Microarray study suggests NF‐κB pathway as top biological affected by knockdown, consistent with known differences inflammation. Additionally, IGFBP3 identified gene supported Conversely, female keratinocytes, repressed X‐linked long RNA XIST suggesting central role mediating sexual dimorphism. Knockdown keratinocytes inhibits cellular increased longevity females. expression dependent insulin, metabolomics analysis regulate acrylcarnitine Our identifies RP11‐424G14.1‐ coordinating immunity, With being human‐specific element, our evolving feature dimorphisms processes.

Language: Английский

Citations

0
MicroRNAs and Nonalcoholic Steatohepatitis: A Review DOI Open Access
Asahiro Morishita, Kyoko Oura, Tomoko Tadokoro

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(19), P. 14482 - 14482

Published: Sept. 23, 2023

Non-alcoholic fatty liver disease (NAFLD) is a clinicopathologic syndrome caused by fat deposition in hepatocytes. Patients with nonalcoholic steatohepatitis (NASH), an advanced form of NAFLD severe fibrosis, are at high risk for liver-related complications, including hepatocellular carcinoma (HCC). However, the mechanism progression from simple to NASH complex, and previous reports have linked gut microbiota, bile acids, immunity, adipokines, oxidative stress, genetic or epigenetic factors. NASH-related injury involves multiple cell types, intercellular signaling thought be mediated extracellular vesicles. MicroRNAs (miRNAs) short, noncoding RNAs that play important roles as post-transcriptional regulators gene expression been implicated pathogenesis various diseases. Recently, many microRNAs NALFD/NASH, suggesting exosomal miRNAs potential non-invasive sensitive biomarkers involved may therapeutic target molecules. We interested which molecules therapy. summarize targeted associated etiology discuss each miRNA terms its pathophysiology, applications, efficacy biomarker.

Language: Английский

Citations

9
Developmental programming: Testosterone excess masculinizes female pancreatic transcriptome and function in sheep DOI Creative Commons
Katherine M Halloran, Nadia Saadat, Brooke Pallas

et al.

Molecular and Cellular Endocrinology, Journal Year: 2024, Volume and Issue: 588, P. 112234 - 112234

Published: April 6, 2024

Language: Английский

Citations

3
Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next generation sequencing data analysis DOI Open Access
Basavaraj Vastrad, Chanabasayya Vastrad

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 8, 2024

Abstract Endometriosis is a common cause of endometrial-type mucosa outside the uterine cavity with symptoms such as painful periods, chronic pelvic pain, pain intercourse and infertility. However, early diagnosis endometriosis still restricted. The purpose this investigation to identify validate key biomarkers endometriosis. Next generation sequencing (NGS) dataset GSE243039 was obtained from Gene Expression Omnibus (GEO) database, differentially expressed genes (DEGs) between normal control samples were identified. After screening DEGs, gene ontology (GO) REACTOME pathway enrichment analyses performed. Furthermore, protein-protein interaction (PPI) network constructed modules analysed using Human Integrated Protein-Protein Interaction rEference (HIPIE) database Cytoscape software, hub Subsequantely, miRNAs genes, TFss miRNet NetworkAnalyst tool, possible TFs predicted. Finally, receiver operating characteristic curve (ROC) analysis used genes. A total 958 including 479 up regulated down screened samples. GO DEGs showed that they mainly involved in multicellular organismal process, developmental signaling by GPCR muscle contraction. Further PPI identified 10 VCAM1, SNCA, PRKCB, ADRB2, FOXQ1, MDFI, ACTBL2, PRKD1, DAPK1 ACTC1. Possible target miRNAs, hsa-mir-3143 hsa-mir-2110, TFs, TCF3 CLOCK, predicted constructing miRNA-hub regulatory TF-hub network. This bioinformatics techniques explore potential novel biomarkers. These might provide new ideas methods for diagnosis, treatment, monitoring

Language: Английский

Citations

1
Screening and identification of key biomarkers associated with endometriosis using bioinformatics and next-generation sequencing data analysis DOI Creative Commons
Basavaraj Vastrad, Chanabasayya Vastrad

Egyptian Journal of Medical Human Genetics, Journal Year: 2024, Volume and Issue: 25(1)

Published: Oct. 12, 2024

Abstract Background Endometriosis is a common cause of endometrial-type mucosa outside the uterine cavity with symptoms such as painful periods, chronic pelvic pain, pain intercourse and infertility. However, early diagnosis endometriosis still restricted. The purpose this investigation to identify validate key biomarkers endometriosis. Methods Next-generation sequencing dataset GSE243039 was obtained from Gene Expression Omnibus database, differentially expressed genes (DEGs) between normal control samples were identified. After screening DEGs, gene ontology (GO) REACTOME pathway enrichment analyses performed. Furthermore, protein–protein interaction (PPI) network constructed modules analyzed using Human Integrated Protein–Protein Interaction rEference database Cytoscape software, hub Subsequently, miRNAs genes, TFs miRNet NetworkAnalyst tool, possible predicted. Finally, receiver operating characteristic curve analysis used genes. Results A total 958 including 479 upregulated downregulated screened samples. GO DEGs showed that they mainly involved in multicellular organismal process, developmental signaling by GPCR muscle contraction. Further PPI identified 10 vcam1, snca, prkcb, adrb2, foxq1, mdfi, actbl2, prkd1, dapk1 actc1. Possible target miRNAs, hsa-mir-3143 hsa-mir-2110, TFs, tcf3 (transcription factor 3) clock (clock circadian regulator), predicted constructing miRNA-hub regulatory TF-hub network. Conclusions This bioinformatics techniques explore potential novel biomarkers. These might provide new ideas methods for diagnosis, treatment monitoring

Language: Английский

Citations

0
Single-cell profiling of the peripheral blood immune landscape during mid- and late-stage pregnancy DOI
Fan Gao, Xia Li, Hongyan Wang

et al.

Physiological Genomics, Journal Year: 2024, Volume and Issue: 56(12), P. 855 - 868

Published: Nov. 18, 2024

There are significant differences in three subtypes of memory/effector T cells (HOPX+ CD4+ cells, ZNF683+CD8+ and KLRB1+CD8+ cells) between mid- late pregnancy. In pregnancy, intercellular interaction was enhanced effector CD8+ highly expressed infection-related pathways. A rare cell subtype, “XIST+ cells,” may be involved the regulation immune-related gene transcription translation with a strong female bias.

Language: Английский

Citations

0
The Value of lncRNAs as a Biomarker for the Diagnosis of Gestational Diabetes: A Meta-Analysis DOI
Fan Yang, Xin Chen, Yang Song

et al.

Hormone and Metabolic Research, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Abstract Gestational diabetes mellitus (GDM) is a common metabolic disorder in pregnancy and leads to serious harm the mother fetus. A variety of lncRNAs play key role GDM. This meta-analysis was performed explore potential value GDM diagnosis. Articles correlated with lncRNA were screened from Embase, Medline, EBSCO, PubMed, Chinese National Knowledge Infrastructure, WanFang databases. Summary receiver operator characteristic (SROC) evaluate pooled area under curve (AUC). Forest plot conducted calculate sensitivity, specificity, diagnostic likelihood ratio (LR), score, odds (DOR). Deeks’ funnel utilized publication bias. Eleven articles containing 12 tests (1060 patients 1066 controls) included this meta-analysis. AUC (0.89, 95%CI=0.86–0.92), sensitivity (0.84, 95%CI=0.80–0.87), specificity (0.81, 95%CI=0.77–0.85)of SROC showed high for Positive LR (PLR 4.40, 95%CI=3.45–5.60) negative (NLR 0.20, 95%CI=0.15–0.26) results indicated that diagnosis had low clinical utility. Diagnostic score (3.09, 95%CI=2.62–3.57) DOR (22.04, 95%CI=13.68–35.51) suggested have good discriminative effect on Heterogeneity significantly higher, but not induced by subgroups. LncRNAs GDM, utility high. study offers target

Language: Английский

Citations

0