Molecular signatures of bone remodeling imbalance in type 2 diabetes and osteoporosis comorbidity: a multi-omics study with in vivo support

Abstract Type 2 diabetes (T2D) and osteoporosis (OP) frequently coexist, but the molecular features linking metabolic dysfunction to impaired bone remodeling remain incompletely defined. Here, we integrated public bulk transcriptomic datasets, a clinical serum proteomics cohort, and descriptive single-cell resources to prioritize candidates for investigation in a T2D-OP mouse model. The existing differential-expression screens, weighted gene co-expression network analysis (WGCNA) and set intersections nominated TTC1. A documented TTC1 expression-stratified GSEA in the low-versus-high BMD dataset was used for exploratory pathway context; it was not a disease-case-control enrichment analysis and did not apply a p-value adjustment method. These analyses are hypothesis-generating: TTC1 met the nominal screening criteria but did not meet BH-FDR < 0.05 in the low-versus-high BMD transcriptomic or serum proteomic results, and the T2D bulk analysis did not account for longitudinal sampling. Pre-imputation serum TTC1 measurements were available in only 1/14 controls and 6/14 patients, and TTC1 was excluded by detection-coverage filters. Single-cell analyses provided cellular context without cross-study disease-effect inference. In the T2D-OP mouse model, bone microstructural deterioration and histopathological damage were accompanied by increased TTC1, TNF-α, iNOS, NFATc1 and TRAP expression and reduced RUNX2 and OCN expression in bone tissue. The combined observations motivate further study of TTC1 in abnormal bone remodeling; independent clinical validation and functional perturbation are needed to establish its biological role.

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Publication Details

Journal
Scientific Reports
Published
2026-10-27
DOI
https://doi.org/10.1038/s41598-026-77685-1
Primary Topic
Bone Metabolism and Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

Molecular signatures of bone remodeling imbalance in type 2 diabetes and osteoporosis comorbidity: a multi-omics study with in vivo support

YiJin Li, Zhicong Xia, Chen Lihua, Tra My Nguyen et al.
3 links
Scientific Reports
Bone Metabolism and Diseases
article

Molecular signatures of bone remodeling imbalance in type 2 diabetes and osteoporosis comorbidity: a multi-omics study with in vivo support

YiJin Li, Zhicong Xia, Chen Lihua, Tra My Nguyen, Fan Wang, Yu Zhao, Xiaosheng Lin, Yueping Cai
article en

Abstract

Abstract Type 2 diabetes (T2D) and osteoporosis (OP) frequently coexist, but the molecular features linking metabolic dysfunction to impaired bone remodeling remain incompletely defined. Here, we integrated public bulk transcriptomic datasets, a clinical serum proteomics cohort, and descriptive single-cell resources to prioritize candidates for investigation in a T2D-OP mouse model. The existing differential-expression screens, weighted gene co-expression network analysis (WGCNA) and set intersections nominated TTC1. A documented TTC1 expression-stratified GSEA in the low-versus-high BMD dataset was used for exploratory pathway context; it was not a disease-case-control enrichment analysis and did not apply a p-value adjustment method. These analyses are hypothesis-generating: TTC1 met the nominal screening criteria but did not meet BH-FDR < 0.05 in the low-versus-high BMD transcriptomic or serum proteomic results, and the T2D bulk analysis did not account for longitudinal sampling. Pre-imputation serum TTC1 measurements were available in only 1/14 controls and 6/14 patients, and TTC1 was excluded by detection-coverage filters. Single-cell analyses provided cellular context without cross-study disease-effect inference. In the T2D-OP mouse model, bone microstructural deterioration and histopathological damage were accompanied by increased TTC1, TNF-α, iNOS, NFATc1 and TRAP expression and reduced RUNX2 and OCN expression in bone tissue. The combined observations motivate further study of TTC1 in abnormal bone remodeling; independent clinical validation and functional perturbation are needed to establish its biological role.

Scientific Reports
Guangzhou University of Chinese Medicine (CN), Shenzhen Bao'an District People's Hospital (CN)
Science, Technology and Innovation Commission of Shenzhen Municipality, Sanming Project of Medicine in Shenzhen
Good health and well-being
Openalex Percentile: Top 40%
Bone Metabolism and Diseases
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