Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity

ObjectiveDetailed proteomic analysis in a cohort of patients with differing severity of COVID-19 disease identified biomarkers within the complement and coagulation cascades as biomarkers for disease severity has been reported; however, it is unclear if these proteins differ sufficiently from other...

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Main Authors: Abu Saleh Md Moin, Ahmed Al-Qaissi, Thozhukat Sathyapalan, Stephen L. Atkin, Alexandra E. Butler
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2021.658304/full
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spelling doaj-a14ceadce7ab479f8d071ba3f3ba1c1f2021-06-25T07:28:30ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922021-06-011210.3389/fendo.2021.658304658304Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 SeverityAbu Saleh Md Moin0Ahmed Al-Qaissi1Ahmed Al-Qaissi2Thozhukat Sathyapalan3Stephen L. Atkin4Alexandra E. Butler5Diabetes Research Center (DRC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, QatarAcademic Endocrinology, Diabetes and Metabolism, Hull York Medical School, Hull, United KingdomDepartment of Endocrinology, Leeds Medical School, Leeds, United KingdomAcademic Endocrinology, Diabetes and Metabolism, Hull York Medical School, Hull, United KingdomResearch Department, Royal College of Surgeons in Ireland Bahrain, Adliya, BahrainDiabetes Research Center (DRC), Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, QatarObjectiveDetailed proteomic analysis in a cohort of patients with differing severity of COVID-19 disease identified biomarkers within the complement and coagulation cascades as biomarkers for disease severity has been reported; however, it is unclear if these proteins differ sufficiently from other conditions to be considered as biomarkers.MethodsA prospective, parallel study in T2D (n = 23) and controls (n = 23). A hyperinsulinemic clamp was performed and normoglycemia induced in T2D [4.5 ± 0.07 mmol/L (81 ± 1.2 mg/dl)] for 1-h, following which blood glucose was decreased to ≤2.0 mmol/L (36 mg/dl). Proteomic analysis for the complement and coagulation cascades were measured using Slow Off-rate Modified Aptamer (SOMA)-scan.ResultsThirty-four proteins were measured. At baseline, 4 of 18 were found to differ in T2D versus controls for platelet degranulation [Neutrophil-activating peptide-2 (p = 0.014), Thrombospondin-1 (p = 0.012), Platelet factor-4 (p = 0.007), and Kininogen-1 (p = 0.05)], whilst 3 of 16 proteins differed for complement and coagulation cascades [Coagulation factor IX (p < 0.05), Kininogen-1 (p = 0.05), and Heparin cofactor-2 (p = 0.007)]; STRING analysis demonstrated the close relationship of these proteins to one another. Induced euglycemia in T2D showed no protein changes versus baseline. At hypoglycemia, however, four proteins changed in controls from baseline [Thrombospondin-1 (p < 0.014), platelet factor-4 (p < 0.01), Platelet basic protein (p < 0.008), and Vitamin K-dependent protein-C (p < 0.00003)], and one protein changed in T2D [Vitamin K-dependent protein-C, (p < 0.0002)].ConclusionSeven of 34 proteins suggested to be biomarkers of COVID-19 severity within the platelet degranulation and complement and coagulation cascades differed in T2D versus controls, with further changes occurring at hypoglycemia, suggesting that validation of these biomarkers is critical. It is unclear if these protein changes in T2D may predict worse COVID-19 disease for these patients.Clinical Trial Registrationhttps://clinicaltrials.gov/, identifier NCT03102801.https://www.frontiersin.org/articles/10.3389/fendo.2021.658304/fulltype 2 diabeteshypoglycemiaCOVID-19biomarkersproteomics
collection DOAJ
language English
format Article
sources DOAJ
author Abu Saleh Md Moin
Ahmed Al-Qaissi
Ahmed Al-Qaissi
Thozhukat Sathyapalan
Stephen L. Atkin
Alexandra E. Butler
spellingShingle Abu Saleh Md Moin
Ahmed Al-Qaissi
Ahmed Al-Qaissi
Thozhukat Sathyapalan
Stephen L. Atkin
Alexandra E. Butler
Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity
Frontiers in Endocrinology
type 2 diabetes
hypoglycemia
COVID-19
biomarkers
proteomics
author_facet Abu Saleh Md Moin
Ahmed Al-Qaissi
Ahmed Al-Qaissi
Thozhukat Sathyapalan
Stephen L. Atkin
Alexandra E. Butler
author_sort Abu Saleh Md Moin
title Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity
title_short Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity
title_full Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity
title_fullStr Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity
title_full_unstemmed Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity
title_sort type 2 diabetes coagulopathy proteins may conflict with biomarkers reflective of covid-19 severity
publisher Frontiers Media S.A.
series Frontiers in Endocrinology
issn 1664-2392
publishDate 2021-06-01
description ObjectiveDetailed proteomic analysis in a cohort of patients with differing severity of COVID-19 disease identified biomarkers within the complement and coagulation cascades as biomarkers for disease severity has been reported; however, it is unclear if these proteins differ sufficiently from other conditions to be considered as biomarkers.MethodsA prospective, parallel study in T2D (n = 23) and controls (n = 23). A hyperinsulinemic clamp was performed and normoglycemia induced in T2D [4.5 ± 0.07 mmol/L (81 ± 1.2 mg/dl)] for 1-h, following which blood glucose was decreased to ≤2.0 mmol/L (36 mg/dl). Proteomic analysis for the complement and coagulation cascades were measured using Slow Off-rate Modified Aptamer (SOMA)-scan.ResultsThirty-four proteins were measured. At baseline, 4 of 18 were found to differ in T2D versus controls for platelet degranulation [Neutrophil-activating peptide-2 (p = 0.014), Thrombospondin-1 (p = 0.012), Platelet factor-4 (p = 0.007), and Kininogen-1 (p = 0.05)], whilst 3 of 16 proteins differed for complement and coagulation cascades [Coagulation factor IX (p < 0.05), Kininogen-1 (p = 0.05), and Heparin cofactor-2 (p = 0.007)]; STRING analysis demonstrated the close relationship of these proteins to one another. Induced euglycemia in T2D showed no protein changes versus baseline. At hypoglycemia, however, four proteins changed in controls from baseline [Thrombospondin-1 (p < 0.014), platelet factor-4 (p < 0.01), Platelet basic protein (p < 0.008), and Vitamin K-dependent protein-C (p < 0.00003)], and one protein changed in T2D [Vitamin K-dependent protein-C, (p < 0.0002)].ConclusionSeven of 34 proteins suggested to be biomarkers of COVID-19 severity within the platelet degranulation and complement and coagulation cascades differed in T2D versus controls, with further changes occurring at hypoglycemia, suggesting that validation of these biomarkers is critical. It is unclear if these protein changes in T2D may predict worse COVID-19 disease for these patients.Clinical Trial Registrationhttps://clinicaltrials.gov/, identifier NCT03102801.
topic type 2 diabetes
hypoglycemia
COVID-19
biomarkers
proteomics
url https://www.frontiersin.org/articles/10.3389/fendo.2021.658304/full
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