Predicting the prognosis in patients with sepsis by an endoplasmic reticulum stress gene signature.
biomarkers
endoplasmic reticulum stress
prognosis
sepsis
signature
Journal
Aging
ISSN: 1945-4589
Titre abrégé: Aging (Albany NY)
Pays: United States
ID NLM: 101508617
Informations de publication
Date de publication:
25 11 2023
25 11 2023
Historique:
received:
26
06
2023
accepted:
11
10
2023
medline:
7
12
2023
pubmed:
27
11
2023
entrez:
27
11
2023
Statut:
ppublish
Résumé
Prognostic stratification of patients with sepsis is important for the development of individualized treatment strategies. Endoplasmic reticulum stress (ERS) plays a key role in sepsis. This study aimed to identify a set of genes related to ER stress to construct a predictive model for the prognosis of sepsis. The transcriptomic and clinical data of 479 sepsis patients were obtained from GSE65682 and divided into a training set (n=288) and a validation set (n=191) at a ratio of 3:2. The external test set was GSE95233 (n=51). LASSO and Cox regression analyses were performed to establish a signature to predict the prognosis of patients with sepsis. Moreover, we developed a nomogram that included the risk signature and clinical features to predict survival probability. A prognostic signature was constructed with ten endoplasmic reticulum related genes (ADRB2, DHCR7, GABARAPL2, MAOA, MPO, PDZD8, QDPR, SCAP, TFRC, and TLR4) in the training set, which significantly divided patients with sepsis into high- and low-risk groups in terms of survival. This signature was validated using validation and external test sets. A nomogram based on the risk signature was constructed to quantitatively predict the prognosis of patients with sepsis. We constructed an ERS signature as a novel prognostic marker for predicting survival in sepsis patients, which could be used to develop novel biomarkers for the diagnosis, treatment, and prognosis of sepsis and to provide new ideas and prospects for future clinical research.
Sections du résumé
BACKGROUND
Prognostic stratification of patients with sepsis is important for the development of individualized treatment strategies. Endoplasmic reticulum stress (ERS) plays a key role in sepsis. This study aimed to identify a set of genes related to ER stress to construct a predictive model for the prognosis of sepsis.
METHODS
The transcriptomic and clinical data of 479 sepsis patients were obtained from GSE65682 and divided into a training set (n=288) and a validation set (n=191) at a ratio of 3:2. The external test set was GSE95233 (n=51). LASSO and Cox regression analyses were performed to establish a signature to predict the prognosis of patients with sepsis. Moreover, we developed a nomogram that included the risk signature and clinical features to predict survival probability.
RESULTS
A prognostic signature was constructed with ten endoplasmic reticulum related genes (ADRB2, DHCR7, GABARAPL2, MAOA, MPO, PDZD8, QDPR, SCAP, TFRC, and TLR4) in the training set, which significantly divided patients with sepsis into high- and low-risk groups in terms of survival. This signature was validated using validation and external test sets. A nomogram based on the risk signature was constructed to quantitatively predict the prognosis of patients with sepsis.
CONCLUSIONS
We constructed an ERS signature as a novel prognostic marker for predicting survival in sepsis patients, which could be used to develop novel biomarkers for the diagnosis, treatment, and prognosis of sepsis and to provide new ideas and prospects for future clinical research.
Identifiants
pubmed: 38011291
pii: 205252
doi: 10.18632/aging.205252
pmc: PMC10713427
doi:
Substances chimiques
PDZD8 protein, human
0
Adaptor Proteins, Signal Transducing
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
13434-13451Références
Aging (Albany NY). 2020 Nov 18;12(22):23200-23216
pubmed: 33221751
Front Physiol. 2019 Dec 03;10:1470
pubmed: 31849715
Curr Protoc Bioinformatics. 2016 Jun 20;54:1.30.1-1.30.33
pubmed: 27322403
Am J Physiol Heart Circ Physiol. 2020 Sep 1;319(3):H705-H721
pubmed: 32762560
Chest. 2022 Nov;162(5):1063-1073
pubmed: 35644244
Diagnostics (Basel). 2023 Jan 25;13(3):
pubmed: 36766539
Biochim Biophys Acta. 2009 Jun;1792(6):521-30
pubmed: 19327397
Adv Drug Deliv Rev. 2008 Oct-Nov;60(13-14):1527-33
pubmed: 18652859
Sci Rep. 2020 Nov 6;10(1):19272
pubmed: 33159144
Pharmaceuticals (Basel). 2022 Dec 23;16(1):
pubmed: 36678520
Annu Rev Neurosci. 1999;22:197-217
pubmed: 10202537
Cell Tissue Res. 2005 Apr;320(1):91-8
pubmed: 15714276
Crit Care Med. 2017 Mar;45(3):486-552
pubmed: 28098591
Int J Clin Exp Pathol. 2017 Sep 01;10(9):9990-9997
pubmed: 31966888
Biochim Biophys Acta Mol Basis Dis. 2017 Oct;1863(10 Pt B):2534-2545
pubmed: 28219766
N Engl J Med. 1994 Jan 13;330(2):107-13
pubmed: 8259166
Brain Behav Immun. 2018 Nov;74:176-185
pubmed: 30195028
Oxid Med Cell Longev. 2019 Nov 28;2019:7595126
pubmed: 31885815
Nat Methods. 2015 May;12(5):453-7
pubmed: 25822800
IUBMB Life. 2022 Nov;74(11):1070-1080
pubmed: 35859520
Intensive Care Med. 2010 Feb;36(2):187-9
pubmed: 20069276
Dtsch Arztebl Int. 2016 Mar 11;113(10):159-66
pubmed: 27010950
JAMA. 1997 Jul 16;278(3):234-40
pubmed: 9218672
Virology. 2011 Jul 5;415(2):114-21
pubmed: 21549406
Int Immunopharmacol. 2023 Jan;114:109608
pubmed: 36700778
Biol Pharm Bull. 2023;46(2):187-193
pubmed: 36724947
J Int Med Res. 2018 Jul;46(7):2828-2842
pubmed: 29756489
Curr Opin Infect Dis. 2021 Dec 1;34(6):718-727
pubmed: 34751185
Front Physiol. 2022 Nov 08;13:964312
pubmed: 36425293
Front Immunol. 2023 Jan 27;14:1102126
pubmed: 36776893
Bioengineered. 2022 Jan;13(1):1049-1061
pubmed: 35112970
Front Immunol. 2022 Sep 20;13:995974
pubmed: 36203606
Cochrane Database Syst Rev. 2018 Dec 10;12:CD010593
pubmed: 30536956
Mediators Inflamm. 2022 Jul 23;2022:6077570
pubmed: 35915740
Crit Care. 2020 Jun 5;24(1):287
pubmed: 32503670
Front Genet. 2022 May 31;13:893511
pubmed: 35711913
Pediatr Nephrol. 2023 Aug;38(8):2809-2815
pubmed: 36622440
Am J Respir Crit Care Med. 2016 Feb 1;193(3):259-72
pubmed: 26414292
EBioMedicine. 2020 Nov;61:102805
pubmed: 33038770
Aging (Albany NY). 2022 Mar 14;14(5):2383-2399
pubmed: 35288483