Comparative transcriptome analysis of transcripts of uncertain coding potential in septic myocardial depression.


Journal

BMC cardiovascular disorders
ISSN: 1471-2261
Titre abrégé: BMC Cardiovasc Disord
Pays: England
ID NLM: 100968539

Informations de publication

Date de publication:
08 04 2021
Historique:
received: 14 12 2020
accepted: 30 03 2021
entrez: 9 4 2021
pubmed: 10 4 2021
medline: 6 10 2021
Statut: epublish

Résumé

Septic shock with myocardial depression is very common in intensive care units. However, the exact molecular mechanisms underlying sepsis-induced myocardial depression remain unclear. Whether the profiles of transcripts of uncertain coding potential (TUCPs) differ between patients with and without myocardial depression is also unknown. Our study aimed to find expression differences between groups of TUCPs and determine their potential functions in a preclinical model. We generated rat models of hypodynamic septic shock induced by lipopolysaccharide. A total of 12 rats were established and left ventricular tissue from each was collected. We performed RNA-seq to identify TUCPs in each sample. Transcripts with an corrected P value of < 0.05 were defined as differentially expressed (DE). We also performed GO terms and KEGG analysis to identify the potential functions of DE TUCPs. A total of 4,851 TUCPs were identified in heart samples, 85 of which were expressed differently between the sepsis and control groups. Further bioinformatic analyses suggested that TUCPs play important roles in myocardial contraction, energy regulation, and metabolic processes, and are also involved in the regulation of several pathways. Our results demonstrate that TUCPs both participate in and mediate the pathological process of myocardial depression. Our study improves the understanding of the basic molecular mechanisms underlying myocardial depression from a novel perspective.

Sections du résumé

BACKGROUND
Septic shock with myocardial depression is very common in intensive care units. However, the exact molecular mechanisms underlying sepsis-induced myocardial depression remain unclear. Whether the profiles of transcripts of uncertain coding potential (TUCPs) differ between patients with and without myocardial depression is also unknown. Our study aimed to find expression differences between groups of TUCPs and determine their potential functions in a preclinical model.
METHODS
We generated rat models of hypodynamic septic shock induced by lipopolysaccharide. A total of 12 rats were established and left ventricular tissue from each was collected. We performed RNA-seq to identify TUCPs in each sample. Transcripts with an corrected P value of < 0.05 were defined as differentially expressed (DE). We also performed GO terms and KEGG analysis to identify the potential functions of DE TUCPs.
RESULTS
A total of 4,851 TUCPs were identified in heart samples, 85 of which were expressed differently between the sepsis and control groups. Further bioinformatic analyses suggested that TUCPs play important roles in myocardial contraction, energy regulation, and metabolic processes, and are also involved in the regulation of several pathways.
CONCLUSION
Our results demonstrate that TUCPs both participate in and mediate the pathological process of myocardial depression. Our study improves the understanding of the basic molecular mechanisms underlying myocardial depression from a novel perspective.

Identifiants

pubmed: 33832434
doi: 10.1186/s12872-021-01973-z
pii: 10.1186/s12872-021-01973-z
pmc: PMC8028820
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

166

Références

Database (Oxford). 2013 Jul 11;2013:bat034
pubmed: 23846593
Genes Dev. 2011 Sep 15;25(18):1915-27
pubmed: 21890647
Am J Respir Crit Care Med. 2015 May 15;191(10):1147-57
pubmed: 25734408
Pediatrics. 2008 Oct;122(4):752-9
pubmed: 18829798
Genome Biol. 2010;11(2):R14
pubmed: 20132535
FEBS Lett. 2012 Apr 24;586(8):1201-7
pubmed: 22575656
Aging (Albany NY). 2019 Feb 18;11(4):1226-1239
pubmed: 30779706
Mol Ther Nucleic Acids. 2019 Sep 6;17:852-866
pubmed: 31472370
N Engl J Med. 2013 Aug 29;369(9):840-51
pubmed: 23984731
JAMA. 2017 Oct 3;318(13):1241-1249
pubmed: 28903154
Bioinformatics. 2005 Oct 1;21(19):3787-93
pubmed: 15817693
BMC Bioinformatics. 2008 Dec 29;9:559
pubmed: 19114008
J Mol Cell Cardiol. 2017 Jul;108:170-180
pubmed: 28629760
Int J Mol Med. 2018 Jun;41(6):3537-3550
pubmed: 29568943
PLoS One. 2017 Aug 3;12(8):e0182427
pubmed: 28771573
Nat Biotechnol. 2010 May;28(5):511-5
pubmed: 20436464
JAMA. 2016 Feb 23;315(8):801-10
pubmed: 26903338
Cardiology. 2018;139(4):234-244
pubmed: 29566368
Int J Mol Med. 2019 Mar;43(3):1179-1192
pubmed: 30592273
Genome Res. 2014 Apr;24(4):616-28
pubmed: 24429298
J Pediatr. 2014 Jan;164(1):72-77.e2
pubmed: 24144393
Inflammation. 2019 Dec;42(6):1990-2002
pubmed: 31332662
Nucleic Acids Res. 2008 Jan;36(Database issue):D480-4
pubmed: 18077471
Cell. 2014 Mar 27;157(1):77-94
pubmed: 24679528

Auteurs

Tie-Ning Zhang (TN)

Department of Pediatrics, PICU, Shengjing Hospital of China Medical University, No. 36, SanHao Street, Shenyang City, 110004, Liaoning Province, People's Republic of China.

Ri Wen (R)

Department of Pediatrics, PICU, Shengjing Hospital of China Medical University, No. 36, SanHao Street, Shenyang City, 110004, Liaoning Province, People's Republic of China.

Ni Yang (N)

Department of Pediatrics, PICU, Shengjing Hospital of China Medical University, No. 36, SanHao Street, Shenyang City, 110004, Liaoning Province, People's Republic of China.

Chun-Feng Liu (CF)

Department of Pediatrics, PICU, Shengjing Hospital of China Medical University, No. 36, SanHao Street, Shenyang City, 110004, Liaoning Province, People's Republic of China. zhliu258@hotmail.com.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH