Human Subcutaneous Adipose Transcriptomes Link Mitochondrial Transcription to Metabolic Heterogeneity in Obesity

Background: Metabolically healthy obesity and metabolically unhealthy obesity may occupy different positions along a continuum of adipose-tissue dysfunction, but stable molecular distinctions remain uncertain. Methods: We integrated three public human subcutaneous-adipose-tissue transcriptomic datasets while preserving participant and platform independence. GSE244118 was used for discovery, GSE152991 was restricted to 14 participants not overlapping with the discovery cohort, and GSE55200 provided cross-platform supportive evidence. We performed differential-expression analysis, correlation-adjusted Reactome testing, direction-aware cross-dataset integration, discovery-defined module scoring, and adipose-tissue deconvolution. Results: Fifty genes met conventional thresholds for metabolically unhealthy versus metabolically healthy obesity in the discovery dataset, but none passed the prespecified fold-change-aware test or strict cross-dataset replication. Among 1570 shared Reactome pathways, 409 reached false-discovery rate < 0.05 in signed-Z integration and 387 had concordant directions across all datasets. Metabolically unhealthy obesity consistently showed lower mitochondrial translation, respiratory-chain, and energy-metabolism programs, accompanied by secondary increases in extracellular-matrix remodeling. A discovery-defined mitochondrial module was lower in metabolically unhealthy obesity in synthesis restricted to non-discovery datasets under both rank and z-mean scoring. The 14-person holdout alone did not establish a significant module difference, and the extracellular-matrix module synthesis was nonsignificant. Ordered cross-sectional patterns and composition sensitivity described tissue-level associations. Conclusions: Metabolic obesity heterogeneity was therefore more reproducible at pathway and module levels than at the single-gene level. Unresolved clinical confounding and bulk tissue composition limit functional and causal interpretation.

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Publication Details

Journal
Genes
Published
2026-09-28
DOI
https://doi.org/10.3390/genes17101199
Primary Topic
Adipose Tissue and Metabolism
Type
article
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article

Human Subcutaneous Adipose Transcriptomes Link Mitochondrial Transcription to Metabolic Heterogeneity in Obesity

Qing Yang, Siyuan Ma, Qi Meng, Shuang Bai et al.
Genes
Adipose Tissue and Metabolism
article

Human Subcutaneous Adipose Transcriptomes Link Mitochondrial Transcription to Metabolic Heterogeneity in Obesity

Qing Yang, Siyuan Ma, Qi Meng, Shuang Bai, Shuang Wu, Dongling Wang, Yajuan Cui, Junzhu Wang
article en

Abstract

Background: Metabolically healthy obesity and metabolically unhealthy obesity may occupy different positions along a continuum of adipose-tissue dysfunction, but stable molecular distinctions remain uncertain. Methods: We integrated three public human subcutaneous-adipose-tissue transcriptomic datasets while preserving participant and platform independence. GSE244118 was used for discovery, GSE152991 was restricted to 14 participants not overlapping with the discovery cohort, and GSE55200 provided cross-platform supportive evidence. We performed differential-expression analysis, correlation-adjusted Reactome testing, direction-aware cross-dataset integration, discovery-defined module scoring, and adipose-tissue deconvolution. Results: Fifty genes met conventional thresholds for metabolically unhealthy versus metabolically healthy obesity in the discovery dataset, but none passed the prespecified fold-change-aware test or strict cross-dataset replication. Among 1570 shared Reactome pathways, 409 reached false-discovery rate < 0.05 in signed-Z integration and 387 had concordant directions across all datasets. Metabolically unhealthy obesity consistently showed lower mitochondrial translation, respiratory-chain, and energy-metabolism programs, accompanied by secondary increases in extracellular-matrix remodeling. A discovery-defined mitochondrial module was lower in metabolically unhealthy obesity in synthesis restricted to non-discovery datasets under both rank and z-mean scoring. The 14-person holdout alone did not establish a significant module difference, and the extracellular-matrix module synthesis was nonsignificant. Ordered cross-sectional patterns and composition sensitivity described tissue-level associations. Conclusions: Metabolic obesity heterogeneity was therefore more reproducible at pathway and module levels than at the single-gene level. Unresolved clinical confounding and bulk tissue composition limit functional and causal interpretation.

GenesVol. 17(10)
Peking University (CN), Beijing Forestry University (CN), Capital University of Physical Education and Sports (CN), Tsinghua University (CN)
Openalex Percentile: Top 12%
Adipose Tissue and Metabolism
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