ArticleEndocrine, metabolic & immune disorders drug targets2026
Jiangtang Decoction for Type 2 Diabetes and NAFLD: Integrative Analysis
Article in Endocrine, metabolic & immune disorders drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- GLUT5-Driven Gut-Liver Axis Injury Mediating Olanzapine-Induced NAFLD and Dapagliflozin Intervention.Drug design, development and therapy · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionJiangtang Decoction (JTD) demonstrates notable efficacy in managing Type 2 Diabetes Mellitus (T2DM) and Non-Alcoholic Fatty Liver Disease (NAFLD). This study aimed to elucidate JTD's causal targets and therapeutic mechanisms by integrating network pharmacology, Summary-data Mendelian Randomization (SMR), and molecular docking, complemented by MATERIALS AND
methodsJTD's targets were cross-matched with genes associated with T2DM or NAFLD. SMR and co-localization analyses, utilizing eQTL and pQTL data, identified causal signals for each disease and their shared counterparts. GO/KEGG enrichment analyses were performed on these shared signals. Molecular docking assessed binding interactions. In vitro experiments, including ELISA (Enzyme-linked immunosorbent assay) and lipid staining, evaluated JTD's hypoglycemic/hypolipidemic effects, while PCR/immunofluorescence validated key molecular predictions in High-Glucose and High-Lipid (HGHL)-induced HepG2 cells.
resultsInitial network pharmacology identified 1107 JTD targets for T2DM and 1126 for NAFLD. SMR analyses revealed 78 eQTLs and 67 pQTLs for T2DM, and 40 eQTLs and 38 pQTLs for NAFLD. Eight shared causal genetic signals were identified: DISCUSSION: Enrichment analysis revealed shared processes, including membrane microdomains, oxidoreductase activity, and responses to nutrient and oxygen levels. PRKAB1 exhibited a strong binding affinity with the JTD component Salsalate.
conclusionThis study identified eight genes that are genetically predicted to be causal for the therapeutic effects of JTD on both T2DM and NAFLD, thereby establishing a genetic link between the conditions. These targets and associated pathways illuminate common underlying mechanisms, supporting JTD's potential for integrated treatment strategies and providing a basis for further investigation.
Indexed as
Identifiers
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.