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Metabolites Associated With Uremic Symptoms in Patients With CKD: Findings From the Chronic Renal Insufficiency Cohort (CRIC) Study.
Wulczyn, Kendra E; Shafi, Tariq; Anderson, Amanda; Rincon-Choles, Hernan; Clish, Clary B; Denburg, Michelle; Feldman, Harold I; He, Jiang; Hsu, Chi-Yuan; Kelly, Tanika; Kimmel, Paul L; Mehta, Rupal; Nelson, Robert G; Ramachandran, Vasan; Ricardo, Ana; Shah, Vallabh O; Srivastava, Anand; Xie, Dawei; Rhee, Eugene P; Kalim, Sahir.
Afiliação
  • Wulczyn KE; Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: kwulczyn@mgb.org.
  • Shafi T; Division of Nephrology, Department of Medicine, Houston Methodist Hospital, Houston, Texas.
  • Anderson A; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA.
  • Rincon-Choles H; Department of Nephrology, Glickman Urological and Kidney Institute, Cleveland Clinic, Cleveland, Ohio.
  • Clish CB; Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
  • Denburg M; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Division of Pediat
  • Feldman HI; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • He J; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA.
  • Hsu CY; Division of Nephrology, University of California, San Francisco, School of Medicine, San Francisco, California; Division of Research, Kaiser Permanente Northern California, Oakland, California.
  • Kelly T; Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois.
  • Kimmel PL; Division of Kidney, Urologic, and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland.
  • Mehta R; Division of Nephrology, Northwestern University, Chicago, Illinois.
  • Nelson RG; Chronic Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Phoenix, Arizona.
  • Ramachandran V; Department of Epidemiology and Sections of Preventive Medicine and Epidemiology and Cardiology, Department of Medicine, Boston University School of Public Health, Boston, Massachusetts.
  • Ricardo A; Division of Nephrology, Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois.
  • Shah VO; Department of Internal Medicine and Biochemistry, School of Medicine, University of New Mexico, Albuquerque, New Mexico.
  • Srivastava A; Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Division of Nephrology and Hypertension, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
  • Xie D; Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Rhee EP; Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts; Endocrine Unit, Massachusetts General Hospital, Boston, Massachusetts.
  • Kalim S; Nephrology Division, Massachusetts General Hospital, Boston, Massachusetts.
Am J Kidney Dis ; 84(1): 49-61.e1, 2024 07.
Article em En | MEDLINE | ID: mdl-38266973
ABSTRACT
RATIONALE &

OBJECTIVE:

The toxins that contribute to uremic symptoms in patients with chronic kidney disease (CKD) are unknown. We sought to apply complementary statistical modeling approaches to data from untargeted plasma metabolomic profiling to identify solutes associated with uremic symptoms in patients with CKD. STUDY

DESIGN:

Cross-sectional. SETTING &

PARTICIPANTS:

1,761 Chronic Renal Insufficiency Cohort (CRIC) participants with CKD not treated with dialysis. PREDICTORS Measurement of 448 known plasma metabolites.

OUTCOMES:

The uremic symptoms of fatigue, anorexia, pruritus, nausea, paresthesia, and pain were assessed by single items on the Kidney Disease Quality of Life-36 instrument. ANALYTICAL

APPROACH:

Multivariable adjusted linear regression, least absolute shrinkage and selection operator linear regression, and random forest models were used to identify metabolites associated with symptom severity. After adjustment for multiple comparisons, metabolites selected in at least 2 of the 3 modeling approaches were deemed "overall significant."

RESULTS:

Participant mean estimated glomerular filtration rate was 43mL/min/1.73m2, with 44% self-identifying as female and 41% as non-Hispanic Black. The prevalence of uremic symptoms ranged from 22% to 55%. We identified 17 metabolites for which a higher level was associated with greater severity of at least one uremic symptom and 9 metabolites inversely associated with uremic symptom severity. Many of these metabolites exhibited at least a moderate correlation with estimated glomerular filtration rate (Pearson's r≥0.5), and some were also associated with the risk of developing kidney failure or death in multivariable adjusted Cox regression models.

LIMITATIONS:

Lack of a second independent cohort for external validation of our findings.

CONCLUSIONS:

Metabolomic profiling was used to identify multiple solutes associated with uremic symptoms in adults with CKD, but future validation and mechanistic studies are needed. PLAIN-LANGUAGE

SUMMARY:

Individuals living with chronic kidney disease (CKD) often experience symptoms related to CKD, traditionally called uremic symptoms. It is likely that CKD results in alterations in the levels of numerous circulating substances that, in turn, cause uremic symptoms; however, the identity of these solutes is not known. In this study, we used metabolomic profiling in patients with CKD to gain insights into the pathophysiology of uremic symptoms. We identified 26 metabolites whose levels were significantly associated with at least one of the symptoms of fatigue, anorexia, itchiness, nausea, paresthesia, and pain. The results of this study lay the groundwork for future research into the biological causes of symptoms in patients with CKD.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Uremia / Insuficiência Renal Crônica Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Kidney Dis Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Uremia / Insuficiência Renal Crônica Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Kidney Dis Ano de publicação: 2024 Tipo de documento: Article