Discrimination of primary and chronic cytomegalovirus infection based on humoral immune profiles in pregnancy.

Adaptive immunity Antigen Immunoglobulins Immunology Infectious disease

Journal

The Journal of clinical investigation
ISSN: 1558-8238
Titre abrégé: J Clin Invest
Pays: United States
ID NLM: 7802877

Informations de publication

Date de publication:
29 Aug 2024
Historique:
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: aheadofprint

Résumé

Most humans have been infected by Cytomegalovirus (CMV) by the time they reach forty years of age. Whereas most of these CMV infections are well controlled by the immune system, congenital infection can lead to serious health effects and death for the fetus and neonate. Most humans have been infected bywith cytomegalovirus (CMV) by the time they reach mid-life without clinical signs of disease. However, in settings in which the immune system is undeveloped or compromised, the virus is not adequately controlled, and consequently presents a major infectious cause of both congenital disease during pregnancy as well as opportunistic infection in children and adults. With clear evidence that risk to the fetus is lower during chronic maternal infection, and varies in association with gestational age at the time of primary maternal infection, further research on humoral immune responses to primary CMV infection during pregnancy is needed. Here, systems serology tools were applied to characterize antibody responses to CMV infection inamong pregnant and non-pregnant women experiencing either primary or chronic infection. Whereas strikingly different antibody profiles were observed depending on infection status, more limited differences were associated with pregnancy status. Beyond known differences in IgM responses that are used clinically for identification of primary infection, distinctions observed in IgA and FcγR- binding antibodiesy responses and among viral antigen specificities accurately predicted infection status in a cross-sectional cohort. Leveraging machine Machine learning, longitudinal samples were also was used to define an immunological clock of CMV infectionthe transition from primary to chronic states and predict time since primary infection with high accuracy. Humoral responses diverged over time in an antigen-specific manner, with IgG3 responses toward tegument decreasing over time as is typical of viral infections, while those directed to pentamer and glycoprotein B were lower during acute and greatest during chronic infection. In sum, this work provides new insights into the antibody response associated with CMV infection status in the context of pregnancy, revealing aspects of humoral immunity that have the potential to improve CMV diagnostics and to support clinical trials of interventions to reduce mother-to-fetus transmission of CMV. Not applicable Funding. CYMAF consortium and National Institutes of Health.

Sections du résumé

BACKGROUND BACKGROUND
Most humans have been infected by Cytomegalovirus (CMV) by the time they reach forty years of age. Whereas most of these CMV infections are well controlled by the immune system, congenital infection can lead to serious health effects and death for the fetus and neonate. Most humans have been infected bywith cytomegalovirus (CMV) by the time they reach mid-life without clinical signs of disease. However, in settings in which the immune system is undeveloped or compromised, the virus is not adequately controlled, and consequently presents a major infectious cause of both congenital disease during pregnancy as well as opportunistic infection in children and adults. With clear evidence that risk to the fetus is lower during chronic maternal infection, and varies in association with gestational age at the time of primary maternal infection, further research on humoral immune responses to primary CMV infection during pregnancy is needed.
METHODS METHODS
Here, systems serology tools were applied to characterize antibody responses to CMV infection inamong pregnant and non-pregnant women experiencing either primary or chronic infection.
RESULTS RESULTS
Whereas strikingly different antibody profiles were observed depending on infection status, more limited differences were associated with pregnancy status. Beyond known differences in IgM responses that are used clinically for identification of primary infection, distinctions observed in IgA and FcγR- binding antibodiesy responses and among viral antigen specificities accurately predicted infection status in a cross-sectional cohort. Leveraging machine Machine learning, longitudinal samples were also was used to define an immunological clock of CMV infectionthe transition from primary to chronic states and predict time since primary infection with high accuracy. Humoral responses diverged over time in an antigen-specific manner, with IgG3 responses toward tegument decreasing over time as is typical of viral infections, while those directed to pentamer and glycoprotein B were lower during acute and greatest during chronic infection.
CONCLUSION CONCLUSIONS
In sum, this work provides new insights into the antibody response associated with CMV infection status in the context of pregnancy, revealing aspects of humoral immunity that have the potential to improve CMV diagnostics and to support clinical trials of interventions to reduce mother-to-fetus transmission of CMV.
TRIAL REGISTRATION BACKGROUND
Not applicable Funding. CYMAF consortium and National Institutes of Health.

Identifiants

pubmed: 39207860
pii: 180560
doi: 10.1172/JCI180560
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Andrew P Hederman (AP)

Thayer School of Engineering, Dartmouth College, Hanover, United States of America.

Christopher J Remmel (CJ)

Thayer School of Engineering, Dartmouth College, Hanover, United States of America.

Shilpee Sharma (S)

European Plotkin Institute for Vaccinology, Université libre de Bruxelles, Brussels, Belgium.

Harini Natarajan (H)

Department of Microbiology and Immunology, Geisel School of Medicine, Hanover, United States of America.

Joshua A Weiner (JA)

Thayer School of Engineering, Dartmouth College, Hanover, United States of America.

Daniel Wrapp (D)

Department of Molecular Biosciences, The University of Texas, Austin, United States of America.

Catherine Donner (C)

Department of Obstetrics and Gynecology, Université Libre de Bruxelles, Brussels, Belgium.

Marie-Luce Delforge (ML)

National Reference Center for Congenital Infections, Université Libre de Bruxelles, Brussels, Belgium.

Piera d'Angelo (P)

Microbiology and Virology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Milena Furione (M)

Microbiology and Virology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Chiara Fornara (C)

Microbiology and Virology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Jason S McLellan (JS)

Department of Molecular Biosciences, The University of Texas, Austin, United States of America.

Daniele Lilleri (D)

Microbiology and Virology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.

Arnaud Marchant (A)

European Plotkin Institute for Vaccinology, Université Libre de Bruxelles, Brussels, Belgium.

Margaret E Ackerman (ME)

Thayer School of Engineering, Dartmouth College, Hanover, United States of America.

Classifications MeSH