PMID- 38180052
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240203
IS  - 2049-3614 (Print)
IS  - 2049-3614 (Electronic)
IS  - 2049-3614 (Linking)
VI  - 13
IP  - 3
DP  - 2024 Mar 1
TI  - Identification of potential biomarkers for diabetic cardiomyopathy using 
      LC-MS-based metabolomics.
LID - e230384 [pii]
LID - 10.1530/EC-23-0384 [doi]
AB  - Diabetic cardiomyopathy (DCM) is a serious complication of type 2 diabetes 
      mellitus (T2DM) that contributes to cardiovascular morbidity and mortality. 
      However, the metabolic alterations and specific biomarkers associated with DCM in 
      T2DM remain unclear. In this study, we conducted a comprehensive metabolomic 
      analysis using liquid chromatography-mass spectrometry (LC-MS) to investigate the 
      plasma metabolite profiles of T2DM patients with and without DCM. We identified 
      significant differences in metabolite levels between the groups, highlighting the 
      dysregulation of various metabolic pathways, including starch and sucrose 
      metabolism, steroid hormone biosynthesis, tryptophan metabolism, purine 
      metabolism, and pyrimidine metabolism. Although several metabolites showed 
      altered abundance in DCM, they also shared characteristics of DCM and T2DM rather 
      than specific to DCM. Additionally, through biomarker analyses, we identified 
      potential biomarkers for DCM, such as cytidine triphosphate, 
      11-ketoetiocholanolone, saccharopine, nervonic acid, and erucic acid. These 
      biomarkers demonstrated distinct patterns and associations with metabolic 
      pathways related to DCM. Our findings provide insights into the metabolic changes 
      associated with DCM in T2DM patients and highlight potential biomarkers for 
      further validation and clinical application. Further research is needed to 
      elucidate the underlying mechanisms and validate the diagnostic and prognostic 
      value of these biomarkers in larger cohorts.
FAU - Xiong, Run-Qing
AU  - Xiong RQ
AD  - Department of Ultrasonic Imaging, Xiamen Medical College Affiliated Second 
      Hospital, Fujian, China.
FAU - Li, Yan-Ping
AU  - Li YP
AD  - Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province 
      University, Xiamen Medical College, Fujian, China.
FAU - Lin, Lu-Ping
AU  - Lin LP
AD  - Department of Endocrinology, Xiamen Medical College Affiliated Second Hospital, 
      Fujian, China.
FAU - Yao, Jeng-Yuan
AU  - Yao JY
AUID- ORCID: 0000-0002-8113-5710
AD  - Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province 
      University, Xiamen Medical College, Fujian, China.
LA  - eng
PT  - Journal Article
DEP - 20240125
PL  - England
TA  - Endocr Connect
JT  - Endocrine connections
JID - 101598413
PMC - PMC10831537
OTO - NOTNLM
OT  - biomarkers
OT  - diabetic cardiomyopathy
OT  - liquid chromatography-mass spectrometry
OT  - metabolomics
OT  - plasma metabolite profiling
OT  - type 2 diabetes mellitus
COIS- The authors declare that there is no conflict of interest that could be perceived 
      as prejudicing the impartiality of the study reported.
EDAT- 2024/01/05 12:42
MHDA- 2024/01/05 12:43
PMCR- 2024/01/25
CRDT- 2024/01/05 09:45
PHST- 2023/09/11 00:00 [received]
PHST- 2024/01/05 00:00 [accepted]
PHST- 2024/01/05 12:43 [medline]
PHST- 2024/01/05 12:42 [pubmed]
PHST- 2024/01/05 09:45 [entrez]
PHST- 2024/01/25 00:00 [pmc-release]
AID - e230384 [pii]
AID - EC-23-0384 [pii]
AID - 10.1530/EC-23-0384 [doi]
PST - epublish
SO  - Endocr Connect. 2024 Jan 25;13(3):e230384. doi: 10.1530/EC-23-0384. Print 2024 
      Mar 1.