Associations of FGF21 and GDF15 with mitochondrial dysfunction in children living with perinatally-acquired HIV: A cross-sectional evaluation of pediatric AIDS clinical trials group 219/219C.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 21 07 2021
accepted: 16 11 2021
entrez: 31 12 2021
pubmed: 1 1 2022
medline: 19 1 2022
Statut: epublish

Résumé

In persons living with HIV, mitochondrial disease (MD) is difficult to diagnose, as clinical signs are non-specific with inconsistent patterns. Fibroblast growth factor 21 (FGF21) and growth differentiation factor 15 (GDF15) are mitokines elevated in MD patients without HIV, and associated with cardiometabolic comorbidities in adults living with HIV. We assessed relationships of these biomarkers with MD in children living with perinatally-acquired HIV infection (CPHIV). Cross-sectional study of CPHIV from Pediatric ACTG 219/219C classified by Mitochondrial Disease Criteria (MDC) that defines scores 2-4 as "possible" MD. Each case with MDC equaling 4 (MDC4; n = 23) was matched to one randomly selected control displaying no MDC (MDC0; n = 23) based on calendar date. Unmatched cases with MDC equaling 3 (MDC3; n = 71) were also assessed. Plasma samples proximal to diagnoses were assayed by ELISA. Mitokine distributions were compared using Wilcoxon tests, Spearman correlations were calculated, and associations with MD status were assessed by conditional logistic regression. Median FGF21 and GDF15 concentrations, respectively, were highest in MDC4 (143.9 and 1441.1 pg/mL), then MDC3 (104.0 and 726.5 pg/mL), and lowest in controls (89.4 and 484.7 pg/mL). Distributions of FGF21 (paired Wilcoxon rank sum p = 0.002) and GDF15 (paired Wilcoxon rank sum p<0.001) differed in MDC4 vs MDC0. Mitokine concentrations were correlated across all participants (r = 0.33; p<0.001). Unadjusted odds ratios of being MDC4 vs MDC0 were 5.2 [95% confidence interval (CI): 1.06-25.92] for FGF21 and 3.5 (95%CI: 1.19-10.25) for GDF15. Relationships persisted after covariate adjustments. FGF21 and GDF15 levels may be useful biomarkers to screen for CPHIV with mitochondrial dysfunction.

Sections du résumé

BACKGROUND
In persons living with HIV, mitochondrial disease (MD) is difficult to diagnose, as clinical signs are non-specific with inconsistent patterns. Fibroblast growth factor 21 (FGF21) and growth differentiation factor 15 (GDF15) are mitokines elevated in MD patients without HIV, and associated with cardiometabolic comorbidities in adults living with HIV. We assessed relationships of these biomarkers with MD in children living with perinatally-acquired HIV infection (CPHIV).
SETTING
Cross-sectional study of CPHIV from Pediatric ACTG 219/219C classified by Mitochondrial Disease Criteria (MDC) that defines scores 2-4 as "possible" MD.
METHODS
Each case with MDC equaling 4 (MDC4; n = 23) was matched to one randomly selected control displaying no MDC (MDC0; n = 23) based on calendar date. Unmatched cases with MDC equaling 3 (MDC3; n = 71) were also assessed. Plasma samples proximal to diagnoses were assayed by ELISA. Mitokine distributions were compared using Wilcoxon tests, Spearman correlations were calculated, and associations with MD status were assessed by conditional logistic regression.
RESULTS
Median FGF21 and GDF15 concentrations, respectively, were highest in MDC4 (143.9 and 1441.1 pg/mL), then MDC3 (104.0 and 726.5 pg/mL), and lowest in controls (89.4 and 484.7 pg/mL). Distributions of FGF21 (paired Wilcoxon rank sum p = 0.002) and GDF15 (paired Wilcoxon rank sum p<0.001) differed in MDC4 vs MDC0. Mitokine concentrations were correlated across all participants (r = 0.33; p<0.001). Unadjusted odds ratios of being MDC4 vs MDC0 were 5.2 [95% confidence interval (CI): 1.06-25.92] for FGF21 and 3.5 (95%CI: 1.19-10.25) for GDF15. Relationships persisted after covariate adjustments.
CONCLUSION
FGF21 and GDF15 levels may be useful biomarkers to screen for CPHIV with mitochondrial dysfunction.

Identifiants

pubmed: 34972147
doi: 10.1371/journal.pone.0261563
pii: PONE-D-21-22547
pmc: PMC8719680
doi:

Substances chimiques

Anti-Retroviral Agents 0
Biomarkers 0
Cytokines 0
FGF21 protein, human 0
GDF15 protein, human 0
Growth Differentiation Factor 15 0
Fibroblast Growth Factors 62031-54-3

Types de publication

Journal Article Multicenter Study Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0261563

Subventions

Organisme : NICHD NIH HHS
ID : P01 HD103133
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM113134
Pays : United States
Organisme : NICHD NIH HHS
ID : U01 HD052104
Pays : United States

Déclaration de conflit d'intérêts

MEG has a research contract with NovoNordisk; is a member of advisory boards for Daiichi Sankyo, Ferring, Novo Nordisk, Nutritional & Growth Solutions, Millendo, Pfizer, and Spruce Biosciences; serves on data safety monitoring boards for Ascendis, Millendo, and Tolmar; and receives royalties from UpToDate and McGraw-Hill. MG has been a consultant for Abbott and Oncolys Biopharma. Mr. Karalius reports grants from National Institutes of Health, grants from US Department of Health and Human Services, grants from NICHD, grants from NIDCR, grants from NINDS, grants from NIDCD, grants from NIAID, grants from NIMH, grants from NIDA, grants from NIAAA, grants from NCI, grants from OAR, grants from NHLBI, grants from Harvard TH Chan School of Public Health, grants from Tulane University School of Medicine, during the conduct of the study. Dr. Jao reports grants from National Institutes of Health, during the conduct of the study. Dr. Van Dyke reports grants from National Institutes of Health, during the conduct of the study. Dr. Gerschenson reports grants from National Institutes of Health, grants from US Department of Health and Human Services, grants from NICHD, grants from NIDCR, grants from NINDS, grants from NIDCD, grants from NIAID, grants from NIMH, grants from NIDA, grants from NIAAA, grants from NCI, grants from OAR, grants from NHLBI, grants from Harvard TH Chan School of Public Health, grants from Tulane University School of Medicine, during the conduct of the study.

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Auteurs

Greg S Gojanovich (GS)

University of Hawaii at Manoa, Honolulu, Hawaii, United States of America.

Denise L Jacobson (DL)

Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America.

Carly Broadwell (C)

Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America.

Brad Karalius (B)

Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America.

Brian Kirmse (B)

University of Mississippi Medical Center, Jackson, Mississippi, United States of America.

Mitchell E Geffner (ME)

Keck School of Medicine of USC, Los Angeles, California, United States of America.

Jennifer Jao (J)

Northwestern Feinberg School of Medicine, Chicago, Illinois, United States of America.

Russell B Van Dyke (RB)

Tulane University School of Medicine, New Orleans, Louisiana, United States of America.

Elizabeth J McFarland (EJ)

University of Colorado School of Medicine, Aurora, Colorado, United States of America.

Margarita Silio (M)

Tulane University School of Medicine, New Orleans, Louisiana, United States of America.

Marilyn Crain (M)

University of Alabama at Birmingham, Birmingham, Alabama, United States of America.

Mariana Gerschenson (M)

University of Hawaii at Manoa, Honolulu, Hawaii, United States of America.

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Classifications MeSH