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Differential Viral Dynamics by Sex and Body Mass Index During Acute SARS-CoV-2 Infection: Results From a Longitudinal Cohort Study
Abstract Background There is evidence of an association of severe coroanavirus disease (COVID-19) outcomes with increased body mass index (BMI) and male sex. However, few studies have examined the interaction between sex and BMI on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral d...
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Published in: | Clinical infectious diseases 2024-05, Vol.78 (5), p.1185-1193 |
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creator | Herbert, Carly Manabe, Yukari C Filippaios, Andreas Lin, Honghuang Wang, Biqi Achenbach, Chad Kheterpal, Vik Hartin, Paul Suvarna, Thejas Harman, Emma Stamegna, Pamela Rao, Lokinendi V Hafer, Nathaniel Broach, John Luzuriaga, Katherine Fitzgerald, Katherine A McManus, David D Soni, Apurv |
description | Abstract
Background
There is evidence of an association of severe coroanavirus disease (COVID-19) outcomes with increased body mass index (BMI) and male sex. However, few studies have examined the interaction between sex and BMI on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral dynamics.
Methods
Participants conducted RT-PCR testing every 24–48 hours over a 15-day period. Sex and BMI were self-reported, and Ct values from E-gene were used to quantify viral load. Three distinct outcomes were examined using mixed-effects generalized linear models, linear models, and logistic models, respectively: all Ct values (model 1), nadir Ct value (model 2), and strongly detectable infection (at least 1 Ct value ≤28 during their infection) (model 3). An interaction term between BMI and sex was included, and inverse logit transformations were applied to quantify the differences by BMI and sex using marginal predictions.
Results
In total, 7988 participants enrolled in this study and 439 participants (model 1) and 309 (models 2 and 3) were eligible for these analyses. Among males, increasing BMI was associated with lower Ct values in a dose-response fashion. For participants with BMIs greater than 29 kg/m2, males had significantly lower Ct values and nadir Ct values than females. In total, 67.8% of males and 55.3% of females recorded a strongly detectable infection; increasing proportions of men had Ct values |
doi_str_mv | 10.1093/cid/ciad701 |
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Background
There is evidence of an association of severe coroanavirus disease (COVID-19) outcomes with increased body mass index (BMI) and male sex. However, few studies have examined the interaction between sex and BMI on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral dynamics.
Methods
Participants conducted RT-PCR testing every 24–48 hours over a 15-day period. Sex and BMI were self-reported, and Ct values from E-gene were used to quantify viral load. Three distinct outcomes were examined using mixed-effects generalized linear models, linear models, and logistic models, respectively: all Ct values (model 1), nadir Ct value (model 2), and strongly detectable infection (at least 1 Ct value ≤28 during their infection) (model 3). An interaction term between BMI and sex was included, and inverse logit transformations were applied to quantify the differences by BMI and sex using marginal predictions.
Results
In total, 7988 participants enrolled in this study and 439 participants (model 1) and 309 (models 2 and 3) were eligible for these analyses. Among males, increasing BMI was associated with lower Ct values in a dose-response fashion. For participants with BMIs greater than 29 kg/m2, males had significantly lower Ct values and nadir Ct values than females. In total, 67.8% of males and 55.3% of females recorded a strongly detectable infection; increasing proportions of men had Ct values <28 with BMIs of 35 and 40 kg/m2.
Conclusions
We observed sex-based dimorphism in relation to BMI and COVID-19 viral load. Further investigation is needed to determine the cause, clinical impact, and transmission implications of this sex-differential effect of BMI on viral load.
We observed an interaction between sex and BMI on viral load, and the highest viral loads were among males with high BMIs. For participants with BMIs over 29, males had significantly lower Ct values and nadir Ct values than females.</description><identifier>ISSN: 1058-4838</identifier><identifier>ISSN: 1537-6591</identifier><identifier>EISSN: 1537-6591</identifier><identifier>DOI: 10.1093/cid/ciad701</identifier><identifier>PMID: 37972270</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Adult ; Aged ; Body Mass Index ; COVID-19 - epidemiology ; COVID-19 - virology ; Female ; Humans ; Longitudinal Studies ; Major ; Male ; Middle Aged ; SARS-CoV-2 ; Sex Factors ; Viral Load</subject><ispartof>Clinical infectious diseases, 2024-05, Vol.78 (5), p.1185-1193</ispartof><rights>The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2023</rights><rights>The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-d7e9de96a28bd9b1804d503760fa5c3719a2dfc660181db8bfdfe57c30ae3ac33</citedby><cites>FETCH-LOGICAL-c291t-d7e9de96a28bd9b1804d503760fa5c3719a2dfc660181db8bfdfe57c30ae3ac33</cites><orcidid>0000-0001-8972-0474 ; 0000-0001-5049-3657</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37972270$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Herbert, Carly</creatorcontrib><creatorcontrib>Manabe, Yukari C</creatorcontrib><creatorcontrib>Filippaios, Andreas</creatorcontrib><creatorcontrib>Lin, Honghuang</creatorcontrib><creatorcontrib>Wang, Biqi</creatorcontrib><creatorcontrib>Achenbach, Chad</creatorcontrib><creatorcontrib>Kheterpal, Vik</creatorcontrib><creatorcontrib>Hartin, Paul</creatorcontrib><creatorcontrib>Suvarna, Thejas</creatorcontrib><creatorcontrib>Harman, Emma</creatorcontrib><creatorcontrib>Stamegna, Pamela</creatorcontrib><creatorcontrib>Rao, Lokinendi V</creatorcontrib><creatorcontrib>Hafer, Nathaniel</creatorcontrib><creatorcontrib>Broach, John</creatorcontrib><creatorcontrib>Luzuriaga, Katherine</creatorcontrib><creatorcontrib>Fitzgerald, Katherine A</creatorcontrib><creatorcontrib>McManus, David D</creatorcontrib><creatorcontrib>Soni, Apurv</creatorcontrib><title>Differential Viral Dynamics by Sex and Body Mass Index During Acute SARS-CoV-2 Infection: Results From a Longitudinal Cohort Study</title><title>Clinical infectious diseases</title><addtitle>Clin Infect Dis</addtitle><description>Abstract
Background
There is evidence of an association of severe coroanavirus disease (COVID-19) outcomes with increased body mass index (BMI) and male sex. However, few studies have examined the interaction between sex and BMI on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral dynamics.
Methods
Participants conducted RT-PCR testing every 24–48 hours over a 15-day period. Sex and BMI were self-reported, and Ct values from E-gene were used to quantify viral load. Three distinct outcomes were examined using mixed-effects generalized linear models, linear models, and logistic models, respectively: all Ct values (model 1), nadir Ct value (model 2), and strongly detectable infection (at least 1 Ct value ≤28 during their infection) (model 3). An interaction term between BMI and sex was included, and inverse logit transformations were applied to quantify the differences by BMI and sex using marginal predictions.
Results
In total, 7988 participants enrolled in this study and 439 participants (model 1) and 309 (models 2 and 3) were eligible for these analyses. Among males, increasing BMI was associated with lower Ct values in a dose-response fashion. For participants with BMIs greater than 29 kg/m2, males had significantly lower Ct values and nadir Ct values than females. In total, 67.8% of males and 55.3% of females recorded a strongly detectable infection; increasing proportions of men had Ct values <28 with BMIs of 35 and 40 kg/m2.
Conclusions
We observed sex-based dimorphism in relation to BMI and COVID-19 viral load. Further investigation is needed to determine the cause, clinical impact, and transmission implications of this sex-differential effect of BMI on viral load.
We observed an interaction between sex and BMI on viral load, and the highest viral loads were among males with high BMIs. For participants with BMIs over 29, males had significantly lower Ct values and nadir Ct values than females.</description><subject>Adult</subject><subject>Aged</subject><subject>Body Mass Index</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - virology</subject><subject>Female</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Major</subject><subject>Male</subject><subject>Middle Aged</subject><subject>SARS-CoV-2</subject><subject>Sex Factors</subject><subject>Viral Load</subject><issn>1058-4838</issn><issn>1537-6591</issn><issn>1537-6591</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kc1P2zAYxq1paEC30-7IpwkJhdkxiWMuU0kpIHWaRDeuluOPYpTYnZ0gcuUvx1U7BJcd_Pn-9Lx-_ADwFaNTjBj5Lq1KQyiK8AdwgAtCs7Jg-GPao6LKzipS7YPDGB8QwrhCxSewTyijeU7RAXieWWN00K63ooV3NqR5NjrRWRlhM8KlfoLCKXjh1Qh_ihjhjVPpbjYE61ZwKodew-X0dpnV_i7LU9Vo2VvvzuGtjkPbRzgPvoMCLrxb2X5Q1qUWtb_3oYfLdB4_gz0j2qi_7NYJ-DO__F1fZ4tfVzf1dJHJnOE-U1QzpVkp8qpRrElOzlSBCC2REYUkFDORKyPLEuEKq6ZqjDK6oJIgoYmQhEzAj63uemg6rWTynNzydbCdCCP3wvL3FWfv-co_crz55pJuFI53CsH_HXTseWej1G0rnPZD5HnFMC3yEm3Qky0qg48xaPPaByO-0eMpNr6LLdFHb5_2yv7LKQHftoAf1v9VegFJo6Lc</recordid><startdate>20240515</startdate><enddate>20240515</enddate><creator>Herbert, Carly</creator><creator>Manabe, Yukari C</creator><creator>Filippaios, Andreas</creator><creator>Lin, Honghuang</creator><creator>Wang, Biqi</creator><creator>Achenbach, Chad</creator><creator>Kheterpal, Vik</creator><creator>Hartin, Paul</creator><creator>Suvarna, Thejas</creator><creator>Harman, Emma</creator><creator>Stamegna, Pamela</creator><creator>Rao, Lokinendi V</creator><creator>Hafer, Nathaniel</creator><creator>Broach, John</creator><creator>Luzuriaga, Katherine</creator><creator>Fitzgerald, Katherine A</creator><creator>McManus, David D</creator><creator>Soni, Apurv</creator><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8972-0474</orcidid><orcidid>https://orcid.org/0000-0001-5049-3657</orcidid></search><sort><creationdate>20240515</creationdate><title>Differential Viral Dynamics by Sex and Body Mass Index During Acute SARS-CoV-2 Infection: Results From a Longitudinal Cohort Study</title><author>Herbert, Carly ; Manabe, Yukari C ; Filippaios, Andreas ; Lin, Honghuang ; Wang, Biqi ; Achenbach, Chad ; Kheterpal, Vik ; Hartin, Paul ; Suvarna, Thejas ; Harman, Emma ; Stamegna, Pamela ; Rao, Lokinendi V ; Hafer, Nathaniel ; Broach, John ; Luzuriaga, Katherine ; Fitzgerald, Katherine A ; McManus, David D ; Soni, Apurv</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-d7e9de96a28bd9b1804d503760fa5c3719a2dfc660181db8bfdfe57c30ae3ac33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Body Mass Index</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - virology</topic><topic>Female</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Major</topic><topic>Male</topic><topic>Middle Aged</topic><topic>SARS-CoV-2</topic><topic>Sex Factors</topic><topic>Viral Load</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Herbert, Carly</creatorcontrib><creatorcontrib>Manabe, Yukari C</creatorcontrib><creatorcontrib>Filippaios, Andreas</creatorcontrib><creatorcontrib>Lin, Honghuang</creatorcontrib><creatorcontrib>Wang, Biqi</creatorcontrib><creatorcontrib>Achenbach, Chad</creatorcontrib><creatorcontrib>Kheterpal, Vik</creatorcontrib><creatorcontrib>Hartin, Paul</creatorcontrib><creatorcontrib>Suvarna, Thejas</creatorcontrib><creatorcontrib>Harman, Emma</creatorcontrib><creatorcontrib>Stamegna, Pamela</creatorcontrib><creatorcontrib>Rao, Lokinendi V</creatorcontrib><creatorcontrib>Hafer, Nathaniel</creatorcontrib><creatorcontrib>Broach, John</creatorcontrib><creatorcontrib>Luzuriaga, Katherine</creatorcontrib><creatorcontrib>Fitzgerald, Katherine A</creatorcontrib><creatorcontrib>McManus, David D</creatorcontrib><creatorcontrib>Soni, Apurv</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical infectious diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Herbert, Carly</au><au>Manabe, Yukari C</au><au>Filippaios, Andreas</au><au>Lin, Honghuang</au><au>Wang, Biqi</au><au>Achenbach, Chad</au><au>Kheterpal, Vik</au><au>Hartin, Paul</au><au>Suvarna, Thejas</au><au>Harman, Emma</au><au>Stamegna, Pamela</au><au>Rao, Lokinendi V</au><au>Hafer, Nathaniel</au><au>Broach, John</au><au>Luzuriaga, Katherine</au><au>Fitzgerald, Katherine A</au><au>McManus, David D</au><au>Soni, Apurv</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differential Viral Dynamics by Sex and Body Mass Index During Acute SARS-CoV-2 Infection: Results From a Longitudinal Cohort Study</atitle><jtitle>Clinical infectious diseases</jtitle><addtitle>Clin Infect Dis</addtitle><date>2024-05-15</date><risdate>2024</risdate><volume>78</volume><issue>5</issue><spage>1185</spage><epage>1193</epage><pages>1185-1193</pages><issn>1058-4838</issn><issn>1537-6591</issn><eissn>1537-6591</eissn><abstract>Abstract
Background
There is evidence of an association of severe coroanavirus disease (COVID-19) outcomes with increased body mass index (BMI) and male sex. However, few studies have examined the interaction between sex and BMI on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral dynamics.
Methods
Participants conducted RT-PCR testing every 24–48 hours over a 15-day period. Sex and BMI were self-reported, and Ct values from E-gene were used to quantify viral load. Three distinct outcomes were examined using mixed-effects generalized linear models, linear models, and logistic models, respectively: all Ct values (model 1), nadir Ct value (model 2), and strongly detectable infection (at least 1 Ct value ≤28 during their infection) (model 3). An interaction term between BMI and sex was included, and inverse logit transformations were applied to quantify the differences by BMI and sex using marginal predictions.
Results
In total, 7988 participants enrolled in this study and 439 participants (model 1) and 309 (models 2 and 3) were eligible for these analyses. Among males, increasing BMI was associated with lower Ct values in a dose-response fashion. For participants with BMIs greater than 29 kg/m2, males had significantly lower Ct values and nadir Ct values than females. In total, 67.8% of males and 55.3% of females recorded a strongly detectable infection; increasing proportions of men had Ct values <28 with BMIs of 35 and 40 kg/m2.
Conclusions
We observed sex-based dimorphism in relation to BMI and COVID-19 viral load. Further investigation is needed to determine the cause, clinical impact, and transmission implications of this sex-differential effect of BMI on viral load.
We observed an interaction between sex and BMI on viral load, and the highest viral loads were among males with high BMIs. For participants with BMIs over 29, males had significantly lower Ct values and nadir Ct values than females.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>37972270</pmid><doi>10.1093/cid/ciad701</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8972-0474</orcidid><orcidid>https://orcid.org/0000-0001-5049-3657</orcidid></addata></record> |
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source | Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list) |
subjects | Adult Aged Body Mass Index COVID-19 - epidemiology COVID-19 - virology Female Humans Longitudinal Studies Major Male Middle Aged SARS-CoV-2 Sex Factors Viral Load |
title | Differential Viral Dynamics by Sex and Body Mass Index During Acute SARS-CoV-2 Infection: Results From a Longitudinal Cohort Study |
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