ArticleFrontiers in endocrinology2026
Multi-omics identifies a T2DM-associated immune-regulatory network modulated by electroacupuncture.
Article in Frontiers in endocrinology, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Recent studies suggest a link between immune-related processes and type 2 diabetes (T2DM), yet the specific genes and mechanisms remain unclear. This study aimed to explore the mechanistic relationship by integrating multi-omics data. Methods: We identified T2DM-associated candidate genes through summary data-based Mendelian Randomization (SMR) and colocalization analyses using immune-related QTL data and large-scale GWAS data. We then functionally validated key genes in a high-fat diet-induced T2DM mouse model, assessing gene expression and the therapeutic effects of electroacupuncture (EA) using RT-qPCR. Results: SMR and colocalization analyses identified Conclusions: Integrating large-scale human genetic data with
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.