ArticleHuman genomics2019
Identification of key candidate genes and molecular pathways in white fat browning: an anti-obesity drug discovery based on computational biology.
Article in Human genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Determinants of activity of brown adipose tissue in lymphoma patients.Scientific reports · 2020Trial
- Identification of a novel oral potential multiple agonist for obesity treatment: multi-target in silico study.Journal of computer-aided molecular design · 2026Article
- Exercise attenuates high-fat diet-induced liver injury in mice via PPARα pathway and reduction of oxidative stress and inflammation.Journal of physiology and biochemistry · 2026Article
- ST32da, a NovelCells · 2025Article
- Review
- Leptin, Acting at Central Level, Increases FGF21 Expression in White Adipose Tissue via PPARβ/δ.International journal of molecular sciences · 2021Article
- A Computational Exploration of the Molecular Network Associated to Neuroinflammation in Alzheimer's Disease.Frontiers in pharmacology · 2021Article
- Article
- Effectiveness of Electroacupuncture for Simple Obesity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Evidence-based complementary and alternative medicine : eCAM · 2020Review
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundObesity-with its increased risk of obesity-associated metabolic diseases-has become one of the greatest public health epidemics of the twenty-first century in affluent countries. To date, there are no ideal drugs for treating obesity. Studies have shown that activation of brown adipose tissue (BAT) can promote energy consumption and inhibit obesity, which makes browning of white adipose tissue (WAT) a potential therapeutic target for obesity. Our objective was to identify genes and molecular pathways associated with WAT and the activation of BAT to WAT browning, by using publicly available data and computational tools; this knowledge might help in targeting relevant signaling pathways for treating obesity and other related metabolic diseases.
resultsIn this study, we used text mining to find out genes related to brown fat and white fat browning. Combined with biological process and pathway analysis in GeneCodis and protein-protein interaction analysis by using STRING and Cytoscape, a list of high priority target genes was developed. The Human Protein Atlas was used to analyze protein expression. Candidate drugs were derived on the basis of the drug-gene interaction analysis of the final genes. Our study identified 18 genes representing 6 different pathways, targetable by a total of 33 drugs as possible drug treatments. The final list included 18 peroxisome proliferator-activated receptor gamma (PPAR-γ) agonists, 4 beta 3 adrenoceptor (β3-AR) agonists, 1 insulin sensitizer, 3 insulins, 6 lipase clearing factor stimulants and other drugs.
conclusionsDrug discovery using in silico text mining, pathway, and protein-protein interaction analysis tools may be a method of exploring drugs targeting the activation of brown fat or white fat browning, which provides a basis for the development of novel targeted therapies as potential treatments for obesity and related metabolic diseases.
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