Differences in the Circulating Proteome in Individuals with versus without Sickle Cell Trait

Sickle cell trait affects approximately 8% of Black individuals in the United States, along with many other individuals with ancestry from malaria-endemic regions worldwide. While traditionally considered a benign condition, recent evidence suggests that sickle cell trait is associated with lower eG...

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Veröffentlicht in:Clinical journal of the American Society of Nephrology 2023-11, Vol.18 (11), p.1416-1425
Hauptverfasser: Cai, Yanwei, Franceschini, Nora, Surapaneni, Aditya, Garrett, Melanie E, Tahir, Usman A, Hsu, Li, Telen, Marilyn J, Yu, Bing, Tang, Hua, Li, Yun, Liu, Simin, Gerszten, Robert E, Coresh, Josef, Manson, JoAnn E, Wojcik, Genevieve L, Kooperberg, Charles, Auer, Paul L, Foster, Matthew W, Grams, Morgan E, Ashley-Koch, Allison E, Raffield, Laura M, Reiner, Alex P
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container_issue 11
container_start_page 1416
container_title Clinical journal of the American Society of Nephrology
container_volume 18
creator Cai, Yanwei
Franceschini, Nora
Surapaneni, Aditya
Garrett, Melanie E
Tahir, Usman A
Hsu, Li
Telen, Marilyn J
Yu, Bing
Tang, Hua
Li, Yun
Liu, Simin
Gerszten, Robert E
Coresh, Josef
Manson, JoAnn E
Wojcik, Genevieve L
Kooperberg, Charles
Auer, Paul L
Foster, Matthew W
Grams, Morgan E
Ashley-Koch, Allison E
Raffield, Laura M
Reiner, Alex P
description Sickle cell trait affects approximately 8% of Black individuals in the United States, along with many other individuals with ancestry from malaria-endemic regions worldwide. While traditionally considered a benign condition, recent evidence suggests that sickle cell trait is associated with lower eGFR and higher risk of kidney diseases, including kidney failure. The mechanisms underlying these associations remain poorly understood. We used proteomic profiling to gain insight into the pathobiology of sickle cell trait. We measured proteomics ( N =1285 proteins assayed by Olink Explore) using baseline plasma samples from 592 Black participants with sickle cell trait and 1:1 age-matched Black participants without sickle cell trait from the prospective Women's Health Initiative cohort. Age-adjusted linear regression was used to assess the association between protein levels and sickle cell trait. In age-adjusted models, 35 proteins were significantly associated with sickle cell trait after correction for multiple testing. Several of the sickle cell trait-protein associations were replicated in Black participants from two independent cohorts (Atherosclerosis Risk in Communities study and Jackson Heart Study) assayed using an orthogonal aptamer-based proteomic platform (SomaScan). Many of the validated sickle cell trait-associated proteins are known biomarkers of kidney function or injury ( e.g. , hepatitis A virus cellular receptor 1 [HAVCR1]/kidney injury molecule-1 [KIM-1], uromodulin [UMOD], ephrins), related to red cell physiology or hemolysis (erythropoietin [EPO], heme oxygenase 1 [HMOX1], and α -hemoglobin stabilizing protein) and/or inflammation (fractalkine, C-C motif chemokine ligand 2/monocyte chemoattractant protein-1 [MCP-1], and urokinase plasminogen activator surface receptor [PLAUR]). A protein risk score constructed from the top sickle cell trait-associated biomarkers was associated with incident kidney failure among those with sickle cell trait during Women's Health Initiative follow-up (odds ratio, 1.32; 95% confidence interval, 1.10 to 1.58). We identified and replicated the association of sickle cell trait with a number of plasma proteins related to hemolysis, kidney injury, and inflammation.
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While traditionally considered a benign condition, recent evidence suggests that sickle cell trait is associated with lower eGFR and higher risk of kidney diseases, including kidney failure. The mechanisms underlying these associations remain poorly understood. We used proteomic profiling to gain insight into the pathobiology of sickle cell trait. We measured proteomics ( N =1285 proteins assayed by Olink Explore) using baseline plasma samples from 592 Black participants with sickle cell trait and 1:1 age-matched Black participants without sickle cell trait from the prospective Women's Health Initiative cohort. Age-adjusted linear regression was used to assess the association between protein levels and sickle cell trait. In age-adjusted models, 35 proteins were significantly associated with sickle cell trait after correction for multiple testing. Several of the sickle cell trait-protein associations were replicated in Black participants from two independent cohorts (Atherosclerosis Risk in Communities study and Jackson Heart Study) assayed using an orthogonal aptamer-based proteomic platform (SomaScan). Many of the validated sickle cell trait-associated proteins are known biomarkers of kidney function or injury ( e.g. , hepatitis A virus cellular receptor 1 [HAVCR1]/kidney injury molecule-1 [KIM-1], uromodulin [UMOD], ephrins), related to red cell physiology or hemolysis (erythropoietin [EPO], heme oxygenase 1 [HMOX1], and α -hemoglobin stabilizing protein) and/or inflammation (fractalkine, C-C motif chemokine ligand 2/monocyte chemoattractant protein-1 [MCP-1], and urokinase plasminogen activator surface receptor [PLAUR]). A protein risk score constructed from the top sickle cell trait-associated biomarkers was associated with incident kidney failure among those with sickle cell trait during Women's Health Initiative follow-up (odds ratio, 1.32; 95% confidence interval, 1.10 to 1.58). 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While traditionally considered a benign condition, recent evidence suggests that sickle cell trait is associated with lower eGFR and higher risk of kidney diseases, including kidney failure. The mechanisms underlying these associations remain poorly understood. We used proteomic profiling to gain insight into the pathobiology of sickle cell trait. We measured proteomics ( N =1285 proteins assayed by Olink Explore) using baseline plasma samples from 592 Black participants with sickle cell trait and 1:1 age-matched Black participants without sickle cell trait from the prospective Women's Health Initiative cohort. Age-adjusted linear regression was used to assess the association between protein levels and sickle cell trait. In age-adjusted models, 35 proteins were significantly associated with sickle cell trait after correction for multiple testing. Several of the sickle cell trait-protein associations were replicated in Black participants from two independent cohorts (Atherosclerosis Risk in Communities study and Jackson Heart Study) assayed using an orthogonal aptamer-based proteomic platform (SomaScan). Many of the validated sickle cell trait-associated proteins are known biomarkers of kidney function or injury ( e.g. , hepatitis A virus cellular receptor 1 [HAVCR1]/kidney injury molecule-1 [KIM-1], uromodulin [UMOD], ephrins), related to red cell physiology or hemolysis (erythropoietin [EPO], heme oxygenase 1 [HMOX1], and α -hemoglobin stabilizing protein) and/or inflammation (fractalkine, C-C motif chemokine ligand 2/monocyte chemoattractant protein-1 [MCP-1], and urokinase plasminogen activator surface receptor [PLAUR]). A protein risk score constructed from the top sickle cell trait-associated biomarkers was associated with incident kidney failure among those with sickle cell trait during Women's Health Initiative follow-up (odds ratio, 1.32; 95% confidence interval, 1.10 to 1.58). We identified and replicated the association of sickle cell trait with a number of plasma proteins related to hemolysis, kidney injury, and inflammation.</description><subject>Biomarkers</subject><subject>Clinical Nephrology</subject><subject>Female</subject><subject>Hemolysis</subject><subject>Humans</subject><subject>Inflammation</subject><subject>Original</subject><subject>Prospective Studies</subject><subject>Proteome</subject><subject>Proteomics</subject><subject>Renal Insufficiency</subject><subject>Sickle Cell Trait</subject><subject>United States</subject><issn>1555-9041</issn><issn>1555-905X</issn><issn>1555-905X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdUdtKAzEQDaLYWv0DkX30ZWuum-2TSL1VigpW8EEI2WzSRre7NclW_HtTWos6DMzAnHNmhgPAMYJ9jBE7G97d9-HvwIzvgC5ijKUDyF52tz1FHXDg_RuElBLM9kGHcEYIorALXi-tMdrpWmmf2DoJM50MrVNtJYOtp8mja4Ju5no1G9WlXdqylZVPPm2YJUvtfLvumzYkT1a9V5GuqyqZOGnDIdgzEayPNrUHnq-vJsPbdPxwMxpejFNFMhJSmeW54gYOMDE554hjOpBl_KFQqGAl1rygMQ0nRZmT0iAzyBHXBcUZhxmFpAfO17qLtpjrUuk6OFmJhbNz6b5EI634O6ntTEybpUAwI5xmLCqcbhRc89FqH8TcehUfkbVuWi9wTlnGOCckQukaqlzjvdNmuwdBsXJGRGfEf2ci7eT3jVvSjxXkGw9SinA</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Cai, Yanwei</creator><creator>Franceschini, Nora</creator><creator>Surapaneni, Aditya</creator><creator>Garrett, Melanie E</creator><creator>Tahir, Usman A</creator><creator>Hsu, Li</creator><creator>Telen, Marilyn J</creator><creator>Yu, Bing</creator><creator>Tang, Hua</creator><creator>Li, Yun</creator><creator>Liu, Simin</creator><creator>Gerszten, Robert E</creator><creator>Coresh, Josef</creator><creator>Manson, JoAnn E</creator><creator>Wojcik, Genevieve L</creator><creator>Kooperberg, Charles</creator><creator>Auer, Paul L</creator><creator>Foster, Matthew W</creator><creator>Grams, Morgan E</creator><creator>Ashley-Koch, Allison E</creator><creator>Raffield, Laura M</creator><creator>Reiner, Alex P</creator><general>American Society of Nephrology</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/0000-0003-3809-1780</orcidid><orcidid>https://orcid.org/0000-0001-7206-8088</orcidid><orcidid>https://orcid.org/0000-0003-2302-6150</orcidid><orcidid>https://orcid.org/0000-0003-4818-1077</orcidid><orcidid>https://orcid.org/0000-0002-4598-0669</orcidid><orcidid>https://orcid.org/0000-0002-6767-7687</orcidid><orcidid>https://orcid.org/0000-0003-4978-5980</orcidid><orcidid>https://orcid.org/0000-0001-8168-4712</orcidid><orcidid>https://orcid.org/0000-0002-4430-6023</orcidid><orcidid>https://orcid.org/0000-0002-7892-193</orcidid><orcidid>https://orcid.org/0000-0002-9426-7595</orcidid><orcidid>https://orcid.org/0000-0001-5409-9155</orcidid><orcidid>https://orcid.org/0000-0002-3950-3794</orcidid><orcidid>https://orcid.org/0000-0003-0212-2346</orcidid><orcidid>https://orcid.org/0000-0003-1735-8044</orcidid><orcidid>https://orcid.org/0000-0002-9275-4189</orcidid><orcidid>https://orcid.org/0000-0003-2098-3844</orcidid><orcidid>https://orcid.org/0000-0002-7892-193X</orcidid></search><sort><creationdate>20231101</creationdate><title>Differences in the Circulating Proteome in Individuals with versus without Sickle Cell Trait</title><author>Cai, Yanwei ; 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While traditionally considered a benign condition, recent evidence suggests that sickle cell trait is associated with lower eGFR and higher risk of kidney diseases, including kidney failure. The mechanisms underlying these associations remain poorly understood. We used proteomic profiling to gain insight into the pathobiology of sickle cell trait. We measured proteomics ( N =1285 proteins assayed by Olink Explore) using baseline plasma samples from 592 Black participants with sickle cell trait and 1:1 age-matched Black participants without sickle cell trait from the prospective Women's Health Initiative cohort. Age-adjusted linear regression was used to assess the association between protein levels and sickle cell trait. In age-adjusted models, 35 proteins were significantly associated with sickle cell trait after correction for multiple testing. Several of the sickle cell trait-protein associations were replicated in Black participants from two independent cohorts (Atherosclerosis Risk in Communities study and Jackson Heart Study) assayed using an orthogonal aptamer-based proteomic platform (SomaScan). Many of the validated sickle cell trait-associated proteins are known biomarkers of kidney function or injury ( e.g. , hepatitis A virus cellular receptor 1 [HAVCR1]/kidney injury molecule-1 [KIM-1], uromodulin [UMOD], ephrins), related to red cell physiology or hemolysis (erythropoietin [EPO], heme oxygenase 1 [HMOX1], and α -hemoglobin stabilizing protein) and/or inflammation (fractalkine, C-C motif chemokine ligand 2/monocyte chemoattractant protein-1 [MCP-1], and urokinase plasminogen activator surface receptor [PLAUR]). A protein risk score constructed from the top sickle cell trait-associated biomarkers was associated with incident kidney failure among those with sickle cell trait during Women's Health Initiative follow-up (odds ratio, 1.32; 95% confidence interval, 1.10 to 1.58). 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identifier ISSN: 1555-9041
ispartof Clinical journal of the American Society of Nephrology, 2023-11, Vol.18 (11), p.1416-1425
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source MEDLINE; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection
subjects Biomarkers
Clinical Nephrology
Female
Hemolysis
Humans
Inflammation
Original
Prospective Studies
Proteome
Proteomics
Renal Insufficiency
Sickle Cell Trait
United States
title Differences in the Circulating Proteome in Individuals with versus without Sickle Cell Trait
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