Evidence map›Paper›PMID 37540242›Full record

ArticleDiabetologia2023

Transcriptome-wide association study-derived genes as potential visceral adipose tissue-specific targets for type 2 diabetes.

Haibo Tang, Jie Wang, Peizhi Deng, Yalan Li, Yaoquan Cao, Bo Yi, Liyong Zhu, Shaihong Zhu, Yao Lu

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Haibo TangDepartment of Metabolic and Bariatric Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-3269-7781
Jie WangClinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Peizhi DengClinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Yalan LiClinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Yaoquan CaoDepartment of Metabolic and Bariatric Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.
Bo YiDepartment of Metabolic and Bariatric Surgery, The Third Xiangya Hospital, Central South University, Changsha, China.
Liyong ZhuDepartment of Metabolic and Bariatric Surgery, The Third Xiangya Hospital, Central South University, Changsha, China. zly8128@csu.edu.cn.
Shaihong ZhuDepartment of Metabolic and Bariatric Surgery, The Third Xiangya Hospital, Central South University, Changsha, China. shaihongzhu@163.com.
Yao LuClinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, China. luyao0719@163.com.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisThis study aimed to assess the causal relationship between visceral obesity and type 2 diabetes and subsequently to screen visceral adipose tissue (VAT)-specific targets for type 2 diabetes.

methodsWe examined the causal relationship between VAT and type 2 diabetes using bidirectional Mendelian randomisation (MR) followed by multivariable MR. We conducted a transcriptome-wide association study (TWAS) leveraging prediction models and a large-scale type 2 diabetes genome-wide association study (74,124 cases and 824,006 controls) to identify candidate genes in VAT and used summary-data-based MR (SMR) and co-localisation analysis to map causal genes. We performed enrichment and single-cell RNA-seq analyses to determine the cell-specific localisation of the TWAS-identified genes. We also conducted knockdown experiments in 3T3-L1 pre-adipocytes.

resultsMR analyses showed a causal relationship between genetically increased VAT mass and type 2 diabetes (inverse-variance weighted OR 2.48 [95% CI 2.21, 2.79]). Ten VAT-specific candidate genes were associated with type 2 diabetes after Bonferroni correction, including five causal genes supported by SMR and co-localisation: PABPC4 (1p34.3); CCNE2 (8q22.1); HAUS6 (9p22.1); CWF19L1 (10q24.31); and CCDC92 (12q24.31). Combined with enrichment analyses, clarifying cell-type specificity with single-cell RNA-seq data indicated that most TWAS-identified candidate genes appear more likely to be associated with adipocytes in VAT. Knockdown experiments suggested that Pabpc4 likely contributes to regulating differentiation and energy metabolism in 3T3-L1 adipocytes. CONCLUSIONS/

interpretationOur findings provide new insights into the genetic basis and biological processes of the association between VAT accumulation and type 2 diabetes and warrant investigation through further functional studies to validate these VAT-specific candidate genes.

Indexed as

Diabetes Mellitus, Type 2AdipocytesGenome-Wide Association StudyHumansIntra-Abdominal FatTranscriptomeCandidate genesCausal inferenceMendelian randomisationTranscriptome-wide association studyType 2 diabetesVisceral adipose tissue

Identifiers

PMID37540242
PMCPMC10542736
OpenAlexW4385563395

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.