PMID- 37304132
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230619
IS  - 2405-5808 (Electronic)
IS  - 2405-5808 (Linking)
VI  - 35
DP  - 2023 Sep
TI  - Identification of potential biomarkers to predict organ morbidity in COVID-19: A 
      repository based proteomics perspective.
PG  - 101493
LID - 10.1016/j.bbrep.2023.101493 [doi]
LID - 101493
AB  - SARS-CoV-2 causes substantial extrapulmonary manifestations in addition to 
      pulmonary disease. Some of the major organs affected are cardiovascular, 
      hematological and thrombotic, renal, neurological, and digestive systems. These 
      types of muti-organ dysfunctions make it difficult and challenging for clinicians 
      to manage and treat COVID-19 patients. The article focuses to identify potential 
      protein biomarkers that can flag various organ systems affected in COVID-19. 
      Publicly reposited high throughput proteomic data from human serum (HS), 
      HEK293T/17 (HEK) and Vero E6 (VE) kidney cell culture were downloaded from 
      ProteomeXchange consortium. The raw data was analyzed in Proteome Discoverer 2.4 
      to delineate the complete list of proteins in the three studies. These proteins 
      were analyzed in Ingenuity Pathway Analysis (IPA) to associate them to various 
      organ diseases. The shortlisted proteins were analyzed in MetaboAnalyst 5.0 to 
      shortlist potential biomarker proteins. These were then assessed for disease-gene 
      association in DisGeNET and validated by Protein-protein interactome (PPI) and 
      functional enrichment studies (GO_BP, KEGG and Reactome pathways) in STRING. 
      Protein profiling resulted in shortlisting 20 proteins in 7 organ systems. Of 
      these 15 proteins showed at least 1.25-fold changes with a sensitivity and 
      specificity of 70%. Association analysis further shortlisted 10 proteins with a 
      potential association with 4 organ diseases. Validation studies established 
      possible interacting networks and pathways affected, confirmingh the ability of 6 
      of these proteins to flag 4 different organ systems affected in COVID-19 disease. 
      This study helps to establish a platform to seek protein signatures in different 
      clinical phenotypes of COVID-19. The potential biomarker candidates that can flag 
      organ systems involved are: (a) Vitamin K-dependent protein S and 
      Antithrombin-III for hematological disorders; (b) Voltage-dependent 
      anion-selective channel protein 1 for neurological disorders; (c) Filamin-A for 
      cardiovascular disorder and, (d) Peptidyl-prolyl cis-trans isomerase A and 
      Peptidyl-prolyl cis-trans isomerase FKBP1A for digestive disorders.
CI  - (c) 2023 The Authors.
FAU - Bandyopadhyay, Sabyasachi
AU  - Bandyopadhyay S
AD  - Proteomics Sub-facility, Centralized Core Research Facility, All India Institute 
      of Medical Sciences, New Delhi, 110029, India.
FAU - Rajan, Madhan Vishal
AU  - Rajan MV
AD  - Department of Biophysics, All India Institute of Medical Sciences, New Delhi, 
      110029, India.
FAU - Kaur, Punit
AU  - Kaur P
AD  - Department of Biophysics, All India Institute of Medical Sciences, New Delhi, 
      110029, India.
FAU - Hariprasad, Gururao
AU  - Hariprasad G
AD  - Department of Biophysics, All India Institute of Medical Sciences, New Delhi, 
      110029, India.
LA  - eng
PT  - Journal Article
DEP - 20230602
PL  - Netherlands
TA  - Biochem Biophys Rep
JT  - Biochemistry and biophysics reports
JID - 101660999
PMC - PMC10235674
OTO - NOTNLM
OT  - COVID-19 sequela
OT  - Organ diseases
OT  - Protein biomarker
OT  - Proteomics
OT  - Repository data
COIS- Authors report no conflict of interest in this work.
EDAT- 2023/06/12 06:42
MHDA- 2023/06/12 06:43
PMCR- 2023/06/02
CRDT- 2023/06/12 04:03
PHST- 2023/02/14 00:00 [received]
PHST- 2023/05/23 00:00 [revised]
PHST- 2023/05/24 00:00 [accepted]
PHST- 2023/06/12 06:43 [medline]
PHST- 2023/06/12 06:42 [pubmed]
PHST- 2023/06/12 04:03 [entrez]
PHST- 2023/06/02 00:00 [pmc-release]
AID - S2405-5808(23)00074-2 [pii]
AID - 101493 [pii]
AID - 10.1016/j.bbrep.2023.101493 [doi]
PST - ppublish
SO  - Biochem Biophys Rep. 2023 Sep;35:101493. doi: 10.1016/j.bbrep.2023.101493. Epub 
      2023 Jun 2.