ArticleGenes2020
Involvement of Essential Signaling Cascades and Analysis of Gene Networks in Diabesity.
Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
23 citing papers in PubMed, 42 citations in OpenAlex.
- Cumulative effects of exercise training and consumption of propolis on managing diabetic dyslipidemia in adult women: a single-blind, randomized, controlled trial with pre-post-intervention assessments.The journal of physiological sciences : JPS · 2023Trial
- Association of Shift Work, Health Behaviors, and Socioeconomic Status with Diabesity in over 53,000 Spanish Employees.Journal of clinical medicine · 2025Article
- Identification of theAnimal biotechnology · 2024Article
- Identification of differential microRNAs and messenger RNAs resulting from ASXL transcriptional regulator 3 knockdown during during heart development.Bioengineered · 2022Review
- Functional deficiency of succinate dehydrogenase promotes tumorigenesis and development of clear cell renal cell carcinoma through weakening of ferroptosis.Bioengineered · 2022Article
- Utilizing network pharmacology and experimental validation to explore the potential molecular mechanisms of BanXia-YiYiRen in treating insomnia.Bioengineered · 2022Article
- Identification and validation of key biomarkers for the early diagnosis of diabetic kidney disease.Frontiers in pharmacology · 2022Article
- Screening differentially expressed genes between endometriosis and ovarian cancer to find new biomarkers for endometriosis.Annals of medicine · 2021Article
- Identification of key molecular markers of acute coronary syndrome using peripheral blood transcriptome sequencing analysis and mRNA-lncRNA co-expression network construction.Bioengineered · 2021Article
- Screening differentially expressed proteins of coronary heart disease with congenital cold syndrome based on tandem mass tag (TMT) technology.Bioengineered · 2021Article
- Identification of the correlations between interleukin-27 (IL-27) and immune-inflammatory imbalance in preterm birth.Bioengineered · 2021Article
- Multi-omics landscape of circadian rhythm pathway alterations in Glioma.Bioengineered · 2021Article
- HeterozygousGenes · 2021Article
- Potential Roles of Endoplasmic Reticulum Stress and Cellular Proteins Implicated in Diabesity.Oxidative medicine and cellular longevity · 2021Review
- Genes That Predict Poor Prognosis in Breast Cancer via Bioinformatical Analysis.BioMed research international · 2021Article
- Investigation of the Mechanism of Complement System in Diabetic Nephropathy via Bioinformatics Analysis.Journal of diabetes research · 2021Article
- A Comprehensive Analysis of the Downregulation ofFrontiers in molecular biosciences · 2021Article
- Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.BioMed research international · 2021Article
- Network Pharmacology Combined with Bioinformatics to Investigate the Mechanisms and Molecular Targets ofEvidence-based complementary and alternative medicine : eCAM · 2021Article
- Genetic association of anthropometric traits with type 2 diabetes in ethnically endogamous Sindhi families.PloS one · 2021Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Aims: Diabesity, defined as diabetes occurring in the context of obesity, is a serious health problem that is associated with an increased risk of premature heart attack, stroke, and death. To date, a key challenge has been to understand the molecular pathways that play significant roles in diabesity. In this study, we aimed to investigate the genetic links between diabetes and obesity in diabetic individuals and highlight the role(s) of shared genes in individuals with diabesity. (2) Methods: The interactions between the genes were analyzed using the Search Tool for the Retrieval of Interacting Genes (STRING) tool after the compilation of obesity genes associated with type 1 diabetes (T1D), type 2 diabetes (T2D), and maturity-onset diabetes of the young (MODY). Cytoscape plugins were utilized for enrichment analysis. (3) Results: We identified 546 obesity genes that are associated with T1D, T2D, and MODY. The network backbone of the identified genes comprised 514 nodes and 4126 edges with an estimated clustering coefficient of 0.242. The Molecular Complex Detection (MCODE) generated three clusters with a score of 33.61, 16.788, and 6.783, each. The highest-scoring nodes of the clusters were
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.