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

BACKGROUNDMost humans have been infected with cytomegalovirus (CMV) by midlife 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 congenita...

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Published inThe Journal of clinical investigation Vol. 134; no. 20; pp. 1 - 12
Main Authors Hederman, Andrew P., Remmel, Christopher A.L., Sharma, Shilpee, Natarajan, Harini, Weiner, Joshua A., Wrapp, Daniel, Donner, Catherine, Delforge, Marie-Luce, d’Angelo, Piera, Furione, Milena, Fornara, Chiara, McLellan, Jason S., Lilleri, Daniele, Marchant, Arnaud, Ackerman, Margaret E.
Format Journal Article
LanguageEnglish
Published United States American Society for Clinical Investigation 15.10.2024
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ISSN1558-8238
0021-9738
1558-8238
DOI10.1172/JCI180560

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Abstract BACKGROUNDMost humans have been infected with cytomegalovirus (CMV) by midlife 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 varies with gestational age at the time of primary maternal infection, further research on humoral responses to primary CMV infection during pregnancy is needed.METHODSHere, systems serology tools were applied to characterize antibody responses to CMV infection in pregnant and nonpregnant women experiencing either primary or chronic infection.RESULTSWhereas strikingly different antibody profiles were observed depending on infection status, limited differences were associated with pregnancy status. Beyond known differences in IgM responses used clinically for identification of primary infection, distinctions observed in IgA and FcγR-binding antibodies and among antigen specificities accurately predicted infection status. Machine learning was used to define the transition from primary to chronic states and predict time since infection with high accuracy. Humoral responses diverged over time in an antigen-specific manner, with IgG3 responses toward tegument decreasing over time as typical of viral infections, while those directed to pentamer and glycoprotein B were lower during acute and greatest during chronic infection.CONCLUSIONIn sum, this work provides 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.FUNDINGCYMAF consortium and NIH NIAID.
AbstractList FUNDING. CYMAF consortium and NIH NIAID.
Leveraging machine learning on antibody profiling datasets of primary and chronic CMV subjects allows for accurate prediction of infection status and new insights into the longitudinal antibody response.
BACKGROUND. Most humans have been infected with cytomegalovirus (CMV) by midlife 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 varies with gestational age at the time of primary maternal infection, further research on humoral responses to primary CMV infection during pregnancy is needed. METHODS. Here, systems serology tools were applied to characterize antibody responses to CMV infection in pregnant and nonpregnant women experiencing either primary or chronic infection. RESULTS. Whereas strikingly different antibody profiles were observed depending on infection status, limited differences were associated with pregnancy status. Beyond known differences in IgM responses used clinically for identification of primary infection, distinctions observed in IgA and FcyR-binding antibodies and among antigen specificities accurately predicted infection status. Machine learning was used to define the transition from primary to chronic states and predict time since infection with high accuracy. Humoral responses diverged over time in an antigen-specific manner, with IgG3 responses toward tegument decreasing over time as typical of viral infections, while those directed to pentamer and glycoprotein B were lower during acute and greatest during chronic infection. CONCLUSION. In sum, this work provides 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. FUNDING. CYMAF consortium and NIH NIAID.
BACKGROUNDMost humans have been infected with cytomegalovirus (CMV) by midlife 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 varies with gestational age at the time of primary maternal infection, further research on humoral responses to primary CMV infection during pregnancy is needed.METHODSHere, systems serology tools were applied to characterize antibody responses to CMV infection in pregnant and nonpregnant women experiencing either primary or chronic infection.RESULTSWhereas strikingly different antibody profiles were observed depending on infection status, limited differences were associated with pregnancy status. Beyond known differences in IgM responses used clinically for identification of primary infection, distinctions observed in IgA and FcγR-binding antibodies and among antigen specificities accurately predicted infection status. Machine learning was used to define the transition from primary to chronic states and predict time since infection with high accuracy. Humoral responses diverged over time in an antigen-specific manner, with IgG3 responses toward tegument decreasing over time as typical of viral infections, while those directed to pentamer and glycoprotein B were lower during acute and greatest during chronic infection.CONCLUSIONIn sum, this work provides 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.FUNDINGCYMAF consortium and NIH NIAID.BACKGROUNDMost humans have been infected with cytomegalovirus (CMV) by midlife 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 varies with gestational age at the time of primary maternal infection, further research on humoral responses to primary CMV infection during pregnancy is needed.METHODSHere, systems serology tools were applied to characterize antibody responses to CMV infection in pregnant and nonpregnant women experiencing either primary or chronic infection.RESULTSWhereas strikingly different antibody profiles were observed depending on infection status, limited differences were associated with pregnancy status. Beyond known differences in IgM responses used clinically for identification of primary infection, distinctions observed in IgA and FcγR-binding antibodies and among antigen specificities accurately predicted infection status. Machine learning was used to define the transition from primary to chronic states and predict time since infection with high accuracy. Humoral responses diverged over time in an antigen-specific manner, with IgG3 responses toward tegument decreasing over time as typical of viral infections, while those directed to pentamer and glycoprotein B were lower during acute and greatest during chronic infection.CONCLUSIONIn sum, this work provides 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.FUNDINGCYMAF consortium and NIH NIAID.
BACKGROUND. Most humans have been infected with cytomegalovirus (CMV) by midlife 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 varies with gestational age at the time of primary maternal infection, further research on humoral responses to primary CMV infection during pregnancy is needed. METHODS. Here, systems serology tools were applied to characterize antibody responses to CMV infection in pregnant and nonpregnant women experiencing either primary or chronic infection. RESULTS. Whereas strikingly different antibody profiles were observed depending on infection status, limited differences were associated with pregnancy status. Beyond known differences in IgM responses used clinically for identification of primary infection, distinctions observed in IgA and FcγR-binding antibodies and among antigen specificities accurately predicted infection status. Machine learning was used to define the transition from primary to chronic states and predict time since infection with high accuracy. Humoral responses diverged over time in an antigen-specific manner, with IgG3 responses toward tegument decreasing over time as typical of viral infections, while those directed to pentamer and glycoprotein B were lower during acute and greatest during chronic infection. CONCLUSION. In sum, this work provides 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. FUNDING. CYMAF consortium and NIH NIAID.
BACKGROUNDMost humans have been infected with cytomegalovirus (CMV) by midlife 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 varies with gestational age at the time of primary maternal infection, further research on humoral responses to primary CMV infection during pregnancy is needed.METHODSHere, systems serology tools were applied to characterize antibody responses to CMV infection in pregnant and nonpregnant women experiencing either primary or chronic infection.RESULTSWhereas strikingly different antibody profiles were observed depending on infection status, limited differences were associated with pregnancy status. Beyond known differences in IgM responses used clinically for identification of primary infection, distinctions observed in IgA and FcγR-binding antibodies and among antigen specificities accurately predicted infection status. Machine learning was used to define the transition from primary to chronic states and predict time since infection with high accuracy. Humoral responses diverged over time in an antigen-specific manner, with IgG3 responses toward tegument decreasing over time as typical of viral infections, while those directed to pentamer and glycoprotein B were lower during acute and greatest during chronic infection.CONCLUSIONIn sum, this work provides 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.FUNDINGCYMAF consortium and NIH NIAID.
Audience Academic
Author Remmel, Christopher A.L.
Hederman, Andrew P.
Delforge, Marie-Luce
Natarajan, Harini
Wrapp, Daniel
Donner, Catherine
d’Angelo, Piera
Lilleri, Daniele
Fornara, Chiara
Sharma, Shilpee
Furione, Milena
McLellan, Jason S.
Weiner, Joshua A.
Ackerman, Margaret E.
Marchant, Arnaud
AuthorAffiliation 5 Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B.), CUB Hôpital Erasme, Department of Obstetrics and Gynecology, Brussels, Belgium
4 Department of Molecular Biosciences, The University of Texas, Austin, Texas, USA
7 Microbiology and Virology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
2 European Plotkin Institute for Vaccinology, Université libre de Bruxelles, Brussels, Belgium
6 ULB, H.U.B., CUB Hôpital Erasme, National Reference Center for Congenital Infections, Brussels, Belgium
3 Department of Microbiology and Immunology, Geisel School of Medicine, Hanover, New Hampshire, USA
1 Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/39207860$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1002/rmv.535
10.1006/biol.1996.0015
10.1016/j.cmi.2021.09.013
10.1056/NEJMoa043337
10.1182/blood-2008-09-179754
10.1128/CVI.00487-14
10.1056/NEJMoa1310214
10.1016/j.ajog.2020.05.038
10.1128/mBio.01996-15
10.1002/uog.19164
10.1016/j.jim.2018.01.013
10.1093/infdis/145.2.191
10.1128/jcm.34.4.1020-1023.1996
10.4161/mabs.28808
10.1128/jcm.32.2.358-363.1994
10.3389/fped.2020.00013
10.1038/s41467-022-31169-8
10.1016/0166-0934(91)90073-9
10.1159/000381626
10.1056/NEJMoa1913569
10.1128/jcm.32.4.981-986.1994
10.1016/j.it.2019.01.005
10.1007/s00281-014-0448-2
10.1007/978-3-540-77349-8_19
10.1128/JCM.01868-16
10.1097/QAD.0000000000001716
10.1371/journal.ppat.1008736
10.1038/ncomms9176
10.1128/jcm.27.1.139-144.1989
10.1002/pd.4118
10.1172/jci.insight.167768
10.1093/jpids/piu069
10.1159/000477168
10.1002/eji.201344305
10.1016/j.ajog.2016.02.042
10.1056/NEJMra1213566
10.1128/JVI.76.17.8596-8608.2002
10.1097/GCO.0000000000000486
10.1126/sciadv.abm2546
10.3389/fimmu.2020.575197
10.1128/JVI.01476-07
10.1093/cid/ciq085
10.2174/187152611797636721
10.1371/journal.pone.0050166
10.1126/scitranslmed.abm2070
10.1016/0166-0934(89)90028-1
10.1542/peds.2007-2333
10.1126/sciimmunol.aan2946
10.3390/v15102040
10.1371/journal.ppat.1011378
10.1016/j.jpeds.2005.09.003
10.2174/187152611797636703
10.1186/1471-2458-5-70
10.31486/toj.18.0095
10.3390/medsci4010005
10.4049/jimmunol.1101165
10.1093/infdis/jiv769
10.1056/NEJM198204223061601
10.3389/fmicb.2022.1106401
10.1016/j.ajogmf.2021.100560
10.1515/CCLM.2001.014
10.1111/j.1469-0691.2011.03564.x
10.1126/sciimmunol.aan1457
10.1016/j.jim.2017.01.010
10.1371/journal.ppat.1004131
10.1046/j.1537-2995.1990.30690333484.x
10.1002/uog.23596
10.1007/s11357-017-9986-6
10.1016/j.jcv.2010.05.004
10.1097/QAD.0b013e32834b348e
10.1038/nri2802
10.1093/infdis/jiz601
10.1093/infdis/jiv071
10.1056/NEJMc0912599
10.1016/j.transproceed.2007.08.040
10.1001/jamanetworkopen.2021.20736
10.1146/annurev-virology-100114-055226
10.1099/0022-1317-82-5-1137
10.1007/BF01650204
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Copyright American Society for Clinical Investigation Oct 2024
2024 Hederman et al. 2024 Hederman et al.
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Issue 20
Keywords Antigen
Infectious disease
Immunoglobulins
Adaptive immunity
Immunology
Language English
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References B20
B64
B21
B65
B22
B66
B23
B67
B24
B68
B25
B69
B26
B27
B28
B29
B70
B71
B72
B73
B30
B74
B31
B75
B32
B76
B33
B77
B34
B78
B35
B79
B36
B37
B38
B39
B1
B2
B3
B4
B5
B6
B7
B8
B9
B80
B81
Rozsnyay (B40) 1989; 66
B41
B42
B43
B44
B45
B46
B47
B48
B49
B50
B51
B52
B53
B10
B54
B11
B55
B12
B56
B13
B57
B14
B58
B15
B59
B16
B17
B18
B19
B60
B61
B62
B63
References_xml – ident: B11
  doi: 10.1002/rmv.535
– ident: B46
  doi: 10.1006/biol.1996.0015
– ident: B10
  doi: 10.1016/j.cmi.2021.09.013
– ident: B71
  doi: 10.1056/NEJMoa043337
– ident: B41
  doi: 10.1182/blood-2008-09-179754
– ident: B19
  doi: 10.1128/CVI.00487-14
– ident: B12
  doi: 10.1056/NEJMoa1310214
– ident: B23
  doi: 10.1016/j.ajog.2020.05.038
– volume: 66
  start-page: 491
  issue: 4
  year: 1989
  ident: B40
  article-title: Distinctive role of IgG1 and IgG3 isotypes in Fc gamma R-mediated functions
  publication-title: Immunology
– ident: B42
  doi: 10.1128/mBio.01996-15
– ident: B15
  doi: 10.1002/uog.19164
– ident: B80
  doi: 10.1016/j.jim.2018.01.013
– ident: B56
  doi: 10.1093/infdis/145.2.191
– ident: B37
  doi: 10.1128/jcm.34.4.1020-1023.1996
– ident: B78
  doi: 10.4161/mabs.28808
– ident: B32
  doi: 10.1128/jcm.32.2.358-363.1994
– ident: B7
  doi: 10.3389/fped.2020.00013
– ident: B31
  doi: 10.1038/s41467-022-31169-8
– ident: B76
  doi: 10.1016/0166-0934(91)90073-9
– ident: B72
  doi: 10.1159/000381626
– ident: B13
  doi: 10.1056/NEJMoa1913569
– ident: B38
  doi: 10.1128/jcm.32.4.981-986.1994
– ident: B62
  doi: 10.1016/j.it.2019.01.005
– ident: B50
  doi: 10.1007/s00281-014-0448-2
– ident: B53
  doi: 10.1007/978-3-540-77349-8_19
– ident: B20
  doi: 10.1128/JCM.01868-16
– ident: B61
  doi: 10.1097/QAD.0000000000001716
– ident: B35
  doi: 10.1371/journal.ppat.1008736
– ident: B33
  doi: 10.1038/ncomms9176
– ident: B47
  doi: 10.1128/jcm.27.1.139-144.1989
– ident: B69
  doi: 10.1002/pd.4118
– ident: B75
  doi: 10.1172/jci.insight.167768
– ident: B4
  doi: 10.1093/jpids/piu069
– ident: B8
  doi: 10.1159/000477168
– ident: B60
  doi: 10.1002/eji.201344305
– ident: B21
  doi: 10.1016/j.ajog.2016.02.042
– ident: B25
  doi: 10.1056/NEJMra1213566
– ident: B49
  doi: 10.1128/JVI.76.17.8596-8608.2002
– ident: B16
  doi: 10.1097/GCO.0000000000000486
– ident: B36
  doi: 10.1126/sciadv.abm2546
– ident: B26
  doi: 10.3389/fimmu.2020.575197
– ident: B52
  doi: 10.1128/JVI.01476-07
– ident: B68
  doi: 10.1093/cid/ciq085
– ident: B2
  doi: 10.2174/187152611797636721
– ident: B51
  doi: 10.1371/journal.pone.0050166
– ident: B29
  doi: 10.1126/scitranslmed.abm2070
– ident: B45
  doi: 10.1016/0166-0934(89)90028-1
– ident: B81
– ident: B18
  doi: 10.1542/peds.2007-2333
– ident: B24
  doi: 10.1126/sciimmunol.aan2946
– ident: B73
  doi: 10.3390/v15102040
– ident: B74
  doi: 10.1371/journal.ppat.1011378
– ident: B5
  doi: 10.1016/j.jpeds.2005.09.003
– ident: B17
  doi: 10.2174/187152611797636703
– ident: B1
  doi: 10.1186/1471-2458-5-70
– ident: B3
  doi: 10.31486/toj.18.0095
– ident: B22
  doi: 10.3390/medsci4010005
– ident: B39
  doi: 10.4049/jimmunol.1101165
– ident: B63
  doi: 10.1093/infdis/jiv769
– ident: B6
  doi: 10.1056/NEJM198204223061601
– ident: B66
  doi: 10.3389/fmicb.2022.1106401
– ident: B9
  doi: 10.1016/j.ajogmf.2021.100560
– ident: B55
  doi: 10.1515/CCLM.2001.014
– ident: B70
  doi: 10.1111/j.1469-0691.2011.03564.x
– ident: B34
  doi: 10.1126/sciimmunol.aan1457
– ident: B79
  doi: 10.1016/j.jim.2017.01.010
– ident: B64
  doi: 10.1371/journal.ppat.1004131
– ident: B48
  doi: 10.1046/j.1537-2995.1990.30690333484.x
– ident: B14
  doi: 10.1002/uog.23596
– ident: B54
  doi: 10.1007/s11357-017-9986-6
– ident: B59
  doi: 10.1016/j.jcv.2010.05.004
– ident: B43
  doi: 10.1097/QAD.0b013e32834b348e
– ident: B28
  doi: 10.1038/nri2802
– ident: B58
  doi: 10.1093/infdis/jiz601
– ident: B77
  doi: 10.1093/infdis/jiv071
– ident: B30
  doi: 10.1056/NEJMc0912599
– ident: B57
  doi: 10.1016/j.transproceed.2007.08.040
– ident: B67
  doi: 10.1001/jamanetworkopen.2021.20736
– ident: B27
  doi: 10.1146/annurev-virology-100114-055226
– ident: B65
  doi: 10.1099/0022-1317-82-5-1137
– ident: B44
  doi: 10.1007/BF01650204
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Snippet BACKGROUNDMost humans have been infected with cytomegalovirus (CMV) by midlife without clinical signs of disease. However, in settings in which the immune...
BACKGROUND. Most humans have been infected with cytomegalovirus (CMV) by midlife without clinical signs of disease. However, in settings in which the immune...
FUNDING. CYMAF consortium and NIH NIAID.
Leveraging machine learning on antibody profiling datasets of primary and chronic CMV subjects allows for accurate prediction of infection status and new...
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StartPage 1
SubjectTerms Adult
Antibodies
Antibodies, Viral - blood
Antibodies, Viral - immunology
Antibody response
Antigens
Asymptomatic
B cells
Chronic Disease
Chronic infection
Clinical Medicine
Congenital diseases
Cytomegalovirus
Cytomegalovirus - immunology
Cytomegalovirus infections
Cytomegalovirus Infections - immunology
Discrimination
Disease susceptibility
Female
Fetuses
Gestational age
Glycoprotein B
Glycoproteins
Health aspects
Humans
Humoral immunity
Identification and classification
Immune response
Immune system
Immunity (Disease)
Immunity, Humoral - immunology
Immunoglobulin A
Immunoglobulin G
Immunoglobulin G - blood
Immunoglobulin G - immunology
Immunoglobulin M
Immunoglobulin M - blood
Immunoglobulin M - immunology
Infection
Infections
Machine learning
Medical research
Medicine, Experimental
Observational learning
Opportunist infection
Physiological aspects
Pregnancy
Pregnancy Complications, Infectious - immunology
Pregnancy Complications, Infectious - virology
Serology
Tegument
Viral infections
Virus diseases
Womens health
Title Discrimination of primary and chronic cytomegalovirus infection based on humoral immune profiles in pregnancy
URI https://www.ncbi.nlm.nih.gov/pubmed/39207860
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https://www.proquest.com/docview/3099799301
https://pubmed.ncbi.nlm.nih.gov/PMC11473158
Volume 134
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