PMID- 37293508
OWN - NLM
STAT- MEDLINE
DCOM- 20230612
LR  - 20240426
IS  - 1664-2392 (Print)
IS  - 1664-2392 (Electronic)
IS  - 1664-2392 (Linking)
VI  - 14
DP  - 2023
TI  - The oxidative aging model integrated various risk factors in type 2 diabetes 
      mellitus at system level.
PG  - 1196293
LID - 10.3389/fendo.2023.1196293 [doi]
LID - 1196293
AB  - BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic endocrine metabolic 
      disease caused by insulin dysregulation. Studies have shown that aging-related 
      oxidative stress (as "oxidative aging") play a critical role in the onset and 
      progression of T2DM, by leading to an energy metabolism imbalance. However, the 
      precise mechanisms through which oxidative aging lead to T2DM are yet to be fully 
      comprehended. Thus, it is urgent to integrate the underlying mechanisms between 
      oxidative aging and T2DM, where meaningful prediction models based on relative 
      profiles are needed. METHODS: First, machine learning was used to build the aging 
      model and disease model. Next, an integrated oxidative aging model was employed 
      to identify crucial oxidative aging risk factors. Finally, a series of 
      bioinformatic analyses (including network, enrichment, sensitivity, and 
      pan-cancer analyses) were used to explore potential mechanisms underlying 
      oxidative aging and T2DM. RESULTS: The study revealed a close relationship 
      between oxidative aging and T2DM. Our results indicate that nutritional 
      metabolism, inflammation response, mitochondrial function, and protein 
      homeostasis are key factors involved in the interplay between oxidative aging and 
      T2DM, even indicating key indices across different cancer types. Therefore, 
      various risk factors in T2DM were integrated, and the theories of 
      oxi-inflamm-aging and cellular senescence were also confirmed. CONCLUSION: In 
      sum, our study successfully integrated the underlying mechanisms linking 
      oxidative aging and T2DM through a series of computational methodologies.
CI  - Copyright (c) 2023 Chen, Yao, Zhao, Xu, Ren, Xie, Liu and Wang.
FAU - Chen, Yao
AU  - Chen Y
AD  - Department of Biomedical Engineering, School of Intelligent Medicine, China 
      Medical University, Shenyang, Liaoning, China.
FAU - Yao, Lilin
AU  - Yao L
AD  - Department of Biomedical Engineering, School of Intelligent Medicine, China 
      Medical University, Shenyang, Liaoning, China.
FAU - Zhao, Shuheng
AU  - Zhao S
AD  - Department of Biomedical Engineering, School of Intelligent Medicine, China 
      Medical University, Shenyang, Liaoning, China.
FAU - Xu, Mengchu
AU  - Xu M
AD  - Department of Biomedical Engineering, School of Intelligent Medicine, China 
      Medical University, Shenyang, Liaoning, China.
FAU - Ren, Siwei
AU  - Ren S
AD  - Department of Biomedical Engineering, School of Intelligent Medicine, China 
      Medical University, Shenyang, Liaoning, China.
FAU - Xie, Lu
AU  - Xie L
AD  - Shanghai-MOST Key Laboratory of Health and Disease Genomics & Institute for 
      Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical 
      Technologies, Shanghai, China.
FAU - Liu, Lei
AU  - Liu L
AD  - Intelligent Medicine Institute, Fudan University, Shanghai, China.
FAU - Wang, Yin
AU  - Wang Y
AD  - Department of Biomedical Engineering, School of Intelligent Medicine, China 
      Medical University, Shenyang, Liaoning, China.
AD  - Key Laboratory of GI Cancer Etiology and Prevention in Liaoning Province, The 
      First Hospital of China Medical University, Shenyang, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20230524
PL  - Switzerland
TA  - Front Endocrinol (Lausanne)
JT  - Frontiers in endocrinology
JID - 101555782
SB  - IM
EIN - Front Endocrinol (Lausanne). 2024 Apr 03;15:1363078. PMID: 38633758
MH  - Humans
MH  - *Diabetes Mellitus, Type 2/etiology/metabolism
MH  - Aging/metabolism
MH  - Risk Factors
MH  - Oxidative Stress
MH  - Oxidation-Reduction
PMC - PMC10244788
OTO - NOTNLM
OT  - aging
OT  - energy metabolism
OT  - oxidative stress
OT  - pan-cancer analysis
OT  - type 2 diabetes mellitus
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2023/06/09 06:42
MHDA- 2023/06/12 06:42
PMCR- 2023/01/01
CRDT- 2023/06/09 04:36
PHST- 2023/03/29 00:00 [received]
PHST- 2023/05/10 00:00 [accepted]
PHST- 2023/06/12 06:42 [medline]
PHST- 2023/06/09 06:42 [pubmed]
PHST- 2023/06/09 04:36 [entrez]
PHST- 2023/01/01 00:00 [pmc-release]
AID - 10.3389/fendo.2023.1196293 [doi]
PST - epublish
SO  - Front Endocrinol (Lausanne). 2023 May 24;14:1196293. doi: 
      10.3389/fendo.2023.1196293. eCollection 2023.