Laura Pyle, Ye Ji Choi, Phoom Narongkiatikhun, Kumar Sharma, Sushrut Waikar, Anita Layton, Kalie L Tommerdahl, Ian de Boer, Timothy Vigers, Robert G Nelson, Jane Lynch, Frank Brosius, Pierre J Saulnier, Jesse A Goodrich, Jeanie B Tryggestad, Elvira Isganaitis, Fida Bacha, Kristen J Nadeau, Daniel van Raalte, Matthias Kretzler, Hiddo Heerspink, Petter Bjornstad
{"title":"蛋白质组分析发现与 2 型糖尿病青少年早期糖尿病肾病相关的多种蛋白质特征","authors":"Laura Pyle, Ye Ji Choi, Phoom Narongkiatikhun, Kumar Sharma, Sushrut Waikar, Anita Layton, Kalie L Tommerdahl, Ian de Boer, Timothy Vigers, Robert G Nelson, Jane Lynch, Frank Brosius, Pierre J Saulnier, Jesse A Goodrich, Jeanie B Tryggestad, Elvira Isganaitis, Fida Bacha, Kristen J Nadeau, Daniel van Raalte, Matthias Kretzler, Hiddo Heerspink, Petter Bjornstad","doi":"10.2215/CJN.0000000000000559","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The onset of diabetic kidney disease (DKD) in youth with type 2 diabetes mellitus often occurs early, leading to complications in young adulthood. Risk biomarkers associated with the early onset of DKD are urgently needed in youth with type 2 diabetes.</p><p><strong>Methods: </strong>We conducted an in-depth analysis of 6596 proteins (SomaScan 7K) in 374 baseline plasma samples from the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study to identify multi-protein signatures associated with the onset of albuminuria (urine albumin-to-creatinine ratio [UACR] ≥30 mg/g), a rapid decline in estimated glomerular filtration rate (eGFR) [annual eGFR decline >3 mL/min/1.73m2 and/or ≥3.3% at two consecutive visits], and hyperfiltration (≥135 mL/min/1.73m2 at two consecutive visits). Elastic net Cox regression with 10-fold cross-validation was applied to the top 100 proteins (ranked by p-value) to identify multi-protein signatures of time to development of DKD outcomes.</p><p><strong>Results: </strong>Participants in the TODAY study (14±2 years old, 63% female, 7±6 months diabetes duration) experienced high rates of early DKD: 43% developed albuminuria, 48% hyperfiltration, and 16% rapid eGFR decline. Increased levels of seven and three proteins were predictive of shorter time to develop albuminuria and rapid eGFR decline, respectively; 118 proteins predicted time to development of hyperfiltration. Elastic net Cox proportional hazards model identified multi-protein signatures of time to incident early DKD with concordance for models with clinical covariates and selected proteins between 0.81 and 0.96, while the concordance for models with clinical covariates only was between 0.56 and 0.63.</p><p><strong>Conclusions: </strong>Our research sheds new light on proteomic changes early in the course of youth-onset type 2 diabetes that associate with DKD. Proteomic analyses identified promising risk factors that predict DKD risk in youth with type 2 diabetes and could deepen our understanding of DKD mechanisms and potential interventions.</p>","PeriodicalId":50681,"journal":{"name":"Clinical Journal of the American Society of Nephrology","volume":null,"pages":null},"PeriodicalIF":8.5000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Proteomic Analysis Uncovers Multi-Protein Signatures Associated with Early Diabetic Kidney Disease in Youth with Type 2 Diabetes Mellitus.\",\"authors\":\"Laura Pyle, Ye Ji Choi, Phoom Narongkiatikhun, Kumar Sharma, Sushrut Waikar, Anita Layton, Kalie L Tommerdahl, Ian de Boer, Timothy Vigers, Robert G Nelson, Jane Lynch, Frank Brosius, Pierre J Saulnier, Jesse A Goodrich, Jeanie B Tryggestad, Elvira Isganaitis, Fida Bacha, Kristen J Nadeau, Daniel van Raalte, Matthias Kretzler, Hiddo Heerspink, Petter Bjornstad\",\"doi\":\"10.2215/CJN.0000000000000559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The onset of diabetic kidney disease (DKD) in youth with type 2 diabetes mellitus often occurs early, leading to complications in young adulthood. Risk biomarkers associated with the early onset of DKD are urgently needed in youth with type 2 diabetes.</p><p><strong>Methods: </strong>We conducted an in-depth analysis of 6596 proteins (SomaScan 7K) in 374 baseline plasma samples from the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study to identify multi-protein signatures associated with the onset of albuminuria (urine albumin-to-creatinine ratio [UACR] ≥30 mg/g), a rapid decline in estimated glomerular filtration rate (eGFR) [annual eGFR decline >3 mL/min/1.73m2 and/or ≥3.3% at two consecutive visits], and hyperfiltration (≥135 mL/min/1.73m2 at two consecutive visits). Elastic net Cox regression with 10-fold cross-validation was applied to the top 100 proteins (ranked by p-value) to identify multi-protein signatures of time to development of DKD outcomes.</p><p><strong>Results: </strong>Participants in the TODAY study (14±2 years old, 63% female, 7±6 months diabetes duration) experienced high rates of early DKD: 43% developed albuminuria, 48% hyperfiltration, and 16% rapid eGFR decline. Increased levels of seven and three proteins were predictive of shorter time to develop albuminuria and rapid eGFR decline, respectively; 118 proteins predicted time to development of hyperfiltration. Elastic net Cox proportional hazards model identified multi-protein signatures of time to incident early DKD with concordance for models with clinical covariates and selected proteins between 0.81 and 0.96, while the concordance for models with clinical covariates only was between 0.56 and 0.63.</p><p><strong>Conclusions: </strong>Our research sheds new light on proteomic changes early in the course of youth-onset type 2 diabetes that associate with DKD. Proteomic analyses identified promising risk factors that predict DKD risk in youth with type 2 diabetes and could deepen our understanding of DKD mechanisms and potential interventions.</p>\",\"PeriodicalId\":50681,\"journal\":{\"name\":\"Clinical Journal of the American Society of Nephrology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.5000,\"publicationDate\":\"2024-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Journal of the American Society of Nephrology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2215/CJN.0000000000000559\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Journal of the American Society of Nephrology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2215/CJN.0000000000000559","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
Proteomic Analysis Uncovers Multi-Protein Signatures Associated with Early Diabetic Kidney Disease in Youth with Type 2 Diabetes Mellitus.
Background: The onset of diabetic kidney disease (DKD) in youth with type 2 diabetes mellitus often occurs early, leading to complications in young adulthood. Risk biomarkers associated with the early onset of DKD are urgently needed in youth with type 2 diabetes.
Methods: We conducted an in-depth analysis of 6596 proteins (SomaScan 7K) in 374 baseline plasma samples from the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study to identify multi-protein signatures associated with the onset of albuminuria (urine albumin-to-creatinine ratio [UACR] ≥30 mg/g), a rapid decline in estimated glomerular filtration rate (eGFR) [annual eGFR decline >3 mL/min/1.73m2 and/or ≥3.3% at two consecutive visits], and hyperfiltration (≥135 mL/min/1.73m2 at two consecutive visits). Elastic net Cox regression with 10-fold cross-validation was applied to the top 100 proteins (ranked by p-value) to identify multi-protein signatures of time to development of DKD outcomes.
Results: Participants in the TODAY study (14±2 years old, 63% female, 7±6 months diabetes duration) experienced high rates of early DKD: 43% developed albuminuria, 48% hyperfiltration, and 16% rapid eGFR decline. Increased levels of seven and three proteins were predictive of shorter time to develop albuminuria and rapid eGFR decline, respectively; 118 proteins predicted time to development of hyperfiltration. Elastic net Cox proportional hazards model identified multi-protein signatures of time to incident early DKD with concordance for models with clinical covariates and selected proteins between 0.81 and 0.96, while the concordance for models with clinical covariates only was between 0.56 and 0.63.
Conclusions: Our research sheds new light on proteomic changes early in the course of youth-onset type 2 diabetes that associate with DKD. Proteomic analyses identified promising risk factors that predict DKD risk in youth with type 2 diabetes and could deepen our understanding of DKD mechanisms and potential interventions.
期刊介绍：
The Clinical Journal of the American Society of Nephrology strives to establish itself as the foremost authority in communicating and influencing advances in clinical nephrology by (1) swiftly and effectively disseminating pivotal developments in clinical and translational research in nephrology, encompassing innovations in research methods and care delivery; (2) providing context for these advances in relation to future research directions and patient care; and (3) becoming a key voice on issues with potential implications for the clinical practice of nephrology, particularly within the United States. Original manuscript topics cover a range of areas, including Acid/Base and Electrolyte Disorders, Acute Kidney Injury and ICU Nephrology, Chronic Kidney Disease, Clinical Nephrology, Cystic Kidney Disease, Diabetes and the Kidney, Genetics, Geriatric and Palliative Nephrology, Glomerular and Tubulointerstitial Diseases, Hypertension, Maintenance Dialysis, Mineral Metabolism, Nephrolithiasis, and Transplantation.
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