ReviewFrontiers in endocrinology2023
Exploring the underlying mechanisms of obesity and diabetes and the potential of Traditional Chinese Medicine: an overview of the literature.
Review in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 citations in OpenAlex.
- Uncovering the Causal Link Between Obesity-Associated Genes and Multiple Sclerosis: A Systematic Literature Review.Brain and behavior · 2025Pooled it
- Traditional Chinese medicine for diabetic peripheral neuropathy: a network meta-analysis.Frontiers in endocrinology · 2025Pooled it
- Comparison of efficacy of acupuncture-related therapy in the treatment of perimenopausal obesity: a network meta-analysis of randomized controlled trials.Frontiers in medicine · 2025Pooled it
- Effects of a comprehensive management mode for overweight/obesity based on mobile internet technology and traditional Chinese medicine constitution theory: a randomized controlled trial.Frontiers in nutrition · 2026Trial
- Nutraceuticals as modulators of genetic, epigenetic and hormonal factors in obesity.European journal of clinical nutrition · 2026Review
- Dietary Patterns and Their Association With Body Fat Percentage Among Ready-Made Garment Workers in Dhaka and Chattogram, Bangladesh.Public health challenges · 2026Article
- Modified Shenqi compound alleviated constipation and inflammation in diabetic mice by regulating the miR-23a-3p/Nrf2 axis.Journal of molecular histology · 2026Article
- Hesperetin and Naringenin promote glucagon-like peptide-1 secretion from L-cell through activation of TGR5 and alleviated type 2 diabetes.Frontiers in pharmacology · 2026Article
- Herbal medicines modulate gut microbiota in metabolic diseases: a review.Frontiers in microbiology · 2026Review
- Total flavonoids of Potentilla discolor alleviate type 2 diabetes by regulating gut microbiota and endogenous metabolites.Frontiers in microbiology · 2026Article
- An Herbal Formula Alleviates Lipotoxicity and Glucotoxicity by Regulating AMPK/SIRT1 in Zucker Diabetic Fatty RatsEndocrine, metabolic & immune disorders drug targets · 2026Article
- Jiangtang Decoction for Type 2 Diabetes and NAFLD: Integrative AnalysisEndocrine, metabolic & immune disorders drug targets · 2026Article
- Traditional Chinese medicine in diabetes management: a comprehensive review of mechanisms and therapeutic potential.Frontiers in endocrinology · 2026Review
- Multidimensional Mechanisms of Hypertension and Advances in Diagnosis and Integrated TCM-Based Treatment: A Review.International journal of general medicine · 2026Review
- Article
- Adjuvant therapy with Traditional Chinese Medicine and glycemic control in patients with type 2 diabetes mellitus: a retrospective cohort study.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2025Article
- Mechanisms behind the anti-diabetic and anti-obesity effects of seaweeds or macroalgae and their bioactive compounds.World journal of diabetes · 2025Review
- Targeting mitochondrial transporters and metabolic reprogramming for disease treatment.Journal of translational medicine · 2025Review
- Guizhi fuling decoction inhibits pyroptosis to improve high-fat diet-induced obesity by up-regulating ACE2.Cytotechnology · 2025Article
- Gut Microbiota and Metabolites: Biomarkers and Therapeutic Targets for Diabetes Mellitus and Its Complications.Nutrients · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity and diabetes are closely related metabolic disorders that have become major public health concerns worldwide. Over the past few decades, numerous studies have explored the underlying mechanisms of these disorders and identified various risk factors, including genetics, lifestyle, and dietary habits. Traditional Chinese Medicine (TCM) has been increasingly recognized for its potential to manage obesity and diabetes. Weight loss is difficult to sustain, and several diabetic therapies, such as sulfonylureas, thiazolidinediones, and insulin, might make it harder to lose weight. While lifestyle changes should be the primary approach for people interested in lowering weight, drugs are also worth investigating. Since some of the newer glucose-lowering medications that cause weight loss, such as glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and sodium-glucose cotransporter 2 inhibitors (SGLT2i), are additionally utilized or are under consideration for use as anti-obesity drugs, the frontier between glucose-lowering medication and weight loss drugs appears to be shifting. This review provides an overview of the literature on the underlying mechanisms of obesity and diabetes and the prospect of TCM in their management. We discuss the various TCM interventions, including acupuncture, herbal medicine, and dietary therapy, and their effects on metabolic health. We also highlight the potential of TCM in regulating gut microbiota, reducing inflammation, and improving insulin sensitivity. The findings suggest that TCM may provide a promising approach to preventing and managing obesity and diabetes. However, further well-designed studies are needed to confirm the efficacy and safety of TCM interventions and to elucidate their underlying mechanisms of action.
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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.