Literature DB >> 35314457

Longitudinal TNFR1 and TNFR2 and Kidney Outcomes: Results from AASK and VA NEPHRON-D.

Teresa K Chen1,2, Steven G Coca3, Michelle M Estrella4, Lawrence J Appel2,5,6, Josef Coresh2,5,6, Heather Thiessen Philbrook7, Wassim Obeid7, Linda F Fried8,9, Hiddo J L Heerspink10, Joachim H Ix11, Michael G Shlipak4, Paul L Kimmel12, Chirag R Parikh7,2,6, Morgan E Grams.   

Abstract

BACKGROUND: Higher baseline levels of soluble TNF receptors (TNFR1 and TNFR2) have been associated with progressive CKD. Whether longitudinal changes in these biomarkers of inflammation are also associated with worse kidney outcomes has been less studied.
METHODS: We evaluated associations of longitudinal changes in TNFR1 and TNFR2 with ESKD in the African American Study of Kidney Disease and Hypertension (AASK; 38% female; 0% diabetes) and kidney function decline (first occurrence of ≥30 ml/min per 1.73 m2 or ≥50% eGFR decline if randomization eGFR ≥60 or <60 ml/min per 1.73 m2, respectively; ESKD) in the Veterans Affairs Nephropathy in Diabetes trial (VA NEPHRON-D; 99% male; 100% diabetes) using Cox models. Biomarkers were measured from samples collected at 0-, 12-, and 24-month visits for AASK (serum) and 0- and 12-month visits for VA NEPHRON-D (plasma). Biomarker slopes (AASK) were estimated using linear mixed-effects models. Covariates included sociodemographic/clinical factors, baseline biomarker level, and kidney function.
RESULTS: There were 129 ESKD events over a median of 7.0 years in AASK (n=418) and 118 kidney function decline events over a median of 1.5 years in VA NEPHRON-D (n=754). In AASK, each 1 SD increase in TNFR1 and TNFR2 slope was associated with 2.98- and 1.87-fold higher risks of ESKD, respectively. In VA NEPHRON-D, each 1 SD increase in TNFR1 and TNFR2 was associated with 3.20- and 1.43-fold higher risks of kidney function decline, respectively.
CONCLUSIONS: Among individuals with and without diabetes, longitudinal increases in TNFR1 and TNFR2 were each associated with progressive CKD, independent of initial biomarker level and kidney function.
Copyright © 2022 by the American Society of Nephrology.

Entities:  

Keywords:  AASK (African American Study of Kidney Disease and Hypertension); chronic inflammation; chronic kidney disease; diabetes mellitus; end-stage kidney disease; renal function decline

Mesh:

Substances:

Year:  2022        PMID: 35314457      PMCID: PMC9063900          DOI: 10.1681/ASN.2021060735

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   14.978


  29 in total

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2.  GFR Slope as a Surrogate End Point for Kidney Disease Progression in Clinical Trials: A Meta-Analysis of Treatment Effects of Randomized Controlled Trials.

Authors:  Lesley A Inker; Hiddo J L Heerspink; Hocine Tighiouart; Andrew S Levey; Josef Coresh; Ron T Gansevoort; Andrew L Simon; Jian Ying; Gerald J Beck; Christoph Wanner; Jürgen Floege; Philip Kam-Tao Li; Vlado Perkovic; Edward F Vonesh; Tom Greene
Journal:  J Am Soc Nephrol       Date:  2019-07-10       Impact factor: 10.121

3.  Change in Albuminuria and GFR as End Points for Clinical Trials in Early Stages of CKD: A Scientific Workshop Sponsored by the National Kidney Foundation in Collaboration With the US Food and Drug Administration and European Medicines Agency.

Authors:  Andrew S Levey; Ron T Gansevoort; Josef Coresh; Lesley A Inker; Hiddo L Heerspink; Morgan E Grams; Tom Greene; Hocine Tighiouart; Kunihiro Matsushita; Shoshana H Ballew; Yingying Sang; Edward Vonesh; Jian Ying; Tom Manley; Dick de Zeeuw; Kai-Uwe Eckardt; Adeera Levin; Vlado Perkovic; Luxia Zhang; Kerry Willis
Journal:  Am J Kidney Dis       Date:  2019-08-28       Impact factor: 8.860

4.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

5.  Effect of ramipril vs amlodipine on renal outcomes in hypertensive nephrosclerosis: a randomized controlled trial.

Authors:  L Y Agodoa; L Appel; G L Bakris; G Beck; J Bourgoignie; J P Briggs; J Charleston; D Cheek; W Cleveland; J G Douglas; M Douglas; D Dowie; M Faulkner; A Gabriel; J Gassman; T Greene; Y Hall; L Hebert; L Hiremath; K Jamerson; C J Johnson; J Kopple; J Kusek; J Lash; J Lea; J B Lewis; M Lipkowitz; S Massry; J Middleton; E R Miller; K Norris; D O'Connor; A Ojo; R A Phillips; V Pogue; M Rahman; O S Randall; S Rostand; G Schulman; W Smith; D Thornley-Brown; C C Tisher; R D Toto; J T Wright; S Xu
Journal:  JAMA       Date:  2001-06-06       Impact factor: 56.272

6.  Relationship between body mass index and proteinuria in hypertensive nephrosclerosis: results from the African American Study of Kidney Disease and Hypertension (AASK) cohort.

Authors:  Robert D Toto; Tom Greene; Lee A Hebert; Leena Hiremath; Janice P Lea; Julia B Lewis; Velvie Pogue; Mohammed Sika; Xuelei Wang
Journal:  Am J Kidney Dis       Date:  2010-11       Impact factor: 8.860

7.  Biological Variability of Estimated GFR and Albuminuria in CKD.

Authors:  Sushrut S Waikar; Casey M Rebholz; Zihe Zheng; Shelley Hurwitz; Chi-Yuan Hsu; Harold I Feldman; Dawei Xie; Kathleen D Liu; Theodore E Mifflin; John H Eckfeldt; Paul L Kimmel; Ramachandran S Vasan; Joseph V Bonventre; Lesley A Inker; Josef Coresh
Journal:  Am J Kidney Dis       Date:  2018-07-18       Impact factor: 8.860

8.  APOL1 Risk Variants, Incident Proteinuria, and Subsequent eGFR Decline in Blacks with Hypertension-Attributed CKD.

Authors:  Teresa K Chen; Adrienne Tin; Carmen A Peralta; Lawrence J Appel; Michael J Choi; Michael S Lipkowitz; Cheryl A Winkler; Michelle M Estrella
Journal:  Clin J Am Soc Nephrol       Date:  2017-10-19       Impact factor: 8.237

9.  Elevation of circulating TNF receptors 1 and 2 increases the risk of end-stage renal disease in American Indians with type 2 diabetes.

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10.  Estimated glomerular filtration rate and albuminuria for prediction of cardiovascular outcomes: a collaborative meta-analysis of individual participant data.

Authors:  Kunihiro Matsushita; Josef Coresh; Yingying Sang; John Chalmers; Caroline Fox; Eliseo Guallar; Tazeen Jafar; Simerjot K Jassal; Gijs W D Landman; Paul Muntner; Paul Roderick; Toshimi Sairenchi; Ben Schöttker; Anoop Shankar; Michael Shlipak; Marcello Tonelli; Jonathan Townend; Arjan van Zuilen; Kazumasa Yamagishi; Kentaro Yamashita; Ron Gansevoort; Mark Sarnak; David G Warnock; Mark Woodward; Johan Ärnlöv
Journal:  Lancet Diabetes Endocrinol       Date:  2015-05-28       Impact factor: 32.069

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