PMID- 37319295 OWN - NLM STAT- MEDLINE DCOM- 20230619 LR - 20231121 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 18 IP - 6 DP - 2023 TI - A holistic view of muscle metabolic reprogramming through personalized metabolic modeling in newly diagnosed diabetic patients. PG - e0287325 LID - 10.1371/journal.pone.0287325 [doi] LID - e0287325 AB - Type 2 diabetes mellitus (T2DM) is a challenging and progressive metabolic disease caused by insulin resistance. Skeletal muscle is the major insulin-sensitive tissue that plays a pivotal role in blood sugar homeostasis. Dysfunction of muscle metabolism is implicated in the disturbance of glucose homeostasis, the development of insulin resistance, and T2DM. Understanding metabolism reprogramming in newly diagnosed patients provides opportunities for early diagnosis and treatment of T2DM as a challenging disease to manage. Here, we applied a system biology approach to investigate metabolic dysregulations associated with the early stage of T2DM. We first reconstructed a human muscle-specific metabolic model. The model was applied for personalized metabolic modeling and analyses in newly diagnosed patients. We found that several pathways and metabolites, mainly implicating in amino acids and lipids metabolisms, were dysregulated. Our results indicated the significance of perturbation of pathways implicated in building membrane and extracellular matrix (ECM). Dysfunctional metabolism in these pathways possibly interrupts the signaling process and develops insulin resistance. We also applied a machine learning method to predict potential metabolite markers of insulin resistance in skeletal muscle. 13 exchange metabolites were predicted as the potential markers. The efficiency of these markers in discriminating insulin-resistant muscle was successfully validated. CI - Copyright: (c) 2023 Khoshnejat et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. FAU - Khoshnejat, Maryam AU - Khoshnejat M AD - Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. AD - The UNESCO Chair on Interdisciplinary Research in Diabetes, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. FAU - Banaei-Moghaddam, Ali Mohammad AU - Banaei-Moghaddam AM AUID- ORCID: 0000-0003-1298-3748 AD - The UNESCO Chair on Interdisciplinary Research in Diabetes, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. AD - Laboratory of Genomics and Epigenomics (LGE), Department of Biochemistry, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. FAU - Moosavi-Movahedi, Ali Akbar AU - Moosavi-Movahedi AA AD - The UNESCO Chair on Interdisciplinary Research in Diabetes, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. AD - Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. FAU - Kavousi, Kaveh AU - Kavousi K AUID- ORCID: 0000-0002-1906-3912 AD - Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. AD - The UNESCO Chair on Interdisciplinary Research in Diabetes, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran. LA - eng PT - Journal Article DEP - 20230615 PL - United States TA - PLoS One JT - PloS one JID - 101285081 RN - 0 (Insulin) RN - 0 (Blood Glucose) SB - IM MH - Humans MH - *Diabetes Mellitus, Type 2 MH - *Insulin Resistance MH - Insulin/metabolism MH - Blood Glucose/metabolism MH - Muscle, Skeletal/metabolism PMC - PMC10270629 COIS- The authors have declared that no competing interests exist. EDAT- 2023/06/15 19:14 MHDA- 2023/06/19 13:08 PMCR- 2023/06/15 CRDT- 2023/06/15 14:29 PHST- 2023/02/06 00:00 [received] PHST- 2023/06/02 00:00 [accepted] PHST- 2023/06/19 13:08 [medline] PHST- 2023/06/15 19:14 [pubmed] PHST- 2023/06/15 14:29 [entrez] PHST- 2023/06/15 00:00 [pmc-release] AID - PONE-D-23-02801 [pii] AID - 10.1371/journal.pone.0287325 [doi] PST - epublish SO - PLoS One. 2023 Jun 15;18(6):e0287325. doi: 10.1371/journal.pone.0287325. eCollection 2023.