ArticleJournal of molecular histology2026
Integrated UPLC-MS/MS profiling and network pharmacology-based analysis of the anti-hyperglycemic potential of Baihu Jia Renshen Decoction combined with Sanghuangporus vaninii extract in mice.
Article in Journal of molecular histology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder requiring multi-target therapeutic strategies. Traditional Chinese medicine offers potential multi-component interventions, yet the material basis and molecular mechanisms of novel formulations often remain incompletely defined. This study developed an integrated formula (FSV) combining a modified Baihu Jia Renshen Decoction with Sanghuangporus vaninii extract and explored its anti-hyperglycemic potential using chemical profiling, network pharmacology, in vitro α-glucosidase inhibition, and an STZ/HSHFD-induced hyperglycemic mouse model. A total of 2,413 database-matched features were annotated, most of which should be regarded as putative rather than standard-confirmed identifications. Mangiferin and several flavonoids were retained as plant/fungus-compatible candidate constituents, whereas implausible xenobiotic matches were excluded from biological interpretation. Network pharmacology predicted the involvement of inflammation- and insulin-resistance-related targets, including TNF, AKT1, IL6, NFKB1, and MAPK3 (also known as ERK1), whereas ALB was treated as a high-connectivity carrier protein rather than a direct druggable mediator. FSV inhibited α-glucosidase in vitro and was associated with improvements in hyperglycemia, insulin-sensitivity indices, dyslipidemia, and tissue morphology in the mouse model. These phenotypic findings are presented as experimental support accompanying the pathway predictions, while direct pathway validation is left for future mechanistic studies. Overall, the results provide a preliminary basis for further chemical validation and mechanistic investigation of FSV in diabetes-related metabolic dysfunction.
Indexed as
Identifiers
42541619What Socratic 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 Socratic graph.