Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 14;7(7):101024.
doi: 10.1016/j.xkme.2025.101024. eCollection 2025 Jul.

Association of Plasma KIM-1, TNFR-1, and TNFR-2 With Cardiovascular Outcomes and All-Cause Mortality in Individuals With Chronic Kidney Disease: An Ancillary Analysis of SPRINT

Affiliations

Association of Plasma KIM-1, TNFR-1, and TNFR-2 With Cardiovascular Outcomes and All-Cause Mortality in Individuals With Chronic Kidney Disease: An Ancillary Analysis of SPRINT

Nicholas Wettersten et al. Kidney Med. .

Abstract

Rationale & objective: Among individuals with chronic kidney disease (CKD), higher blood levels of kidney injury molecule-1 (KIM-1) and soluble tumor necrosis factor receptors (TNFR-1 and TNFR-2) have been associated with greater risk of CKD progression. Their associations with risk of cardiovascular disease (CVD) and all-cause mortality in individuals with CKD remain uncertain.

Study design: An observational cohort study.

Setting & participants: Systolic Blood Pressure Intervention Trial participants with hypertension and CKD (eGFR <60 mL/min/1.73 m2) but without diabetes.

Predictors: Plasma KIM-1, TNFR-1, and TNFR-2.

Outcomes: A composite CVD outcome (acute coronary syndrome/myocardial infarction, stroke, heart failure, and CVD death) and all-cause mortality.

Analytic approach: Cox proportional hazards models, adjusting for CVD risk factors, eGFR, and urine albumin-to-creatinine ratio.

Results: Total of 2,350 participants with a mean age of 73 ± 9 years, eGFR of 46 ± 10 mL/min/1.73m2 and 25% prevalence of CVD. Over more than 3 years follow-up, 293 CVD events (12%) and 160 deaths (7%) occurred. Higher KIM-1, TNFR-1, and TNFR-2 were associated with higher risk of the composite CVD outcome after adjusting for CVD risk factors, but associations were no longer significant after adjusting for eGFR and urine albumin-to-creatinine ratio (KIM-1: HR = 1.13, 95% CI, 0.99-1.30; TNFR-1: HR = 1.03, 95% CI, 0.72-1.46; TNFR-2: HR = 0.98, 95% CI, 0.76-1.26). In contrast, in fully adjusted models, higher plasma KIM-1 and TNFR-1, but not TNFR-2, were associated with higher risk of all-cause mortality (KIM-1: HR = 1.23, 95% CI, 1.01-1.49; TNFR-1: HR = 2.09, 95% CI, 1.14-3.83; TNFR-2: HR = 1.19, 95% CI, 0.85-1.66).

Limitations: No individuals with diabetes or stroke.

Conclusions: In individuals with hypertension and nondiabetic CKD, associations of higher plasma KIM-1, TNFR-1, and TNFR-2 concentrations with CVD events were not independent of eGFR and albuminuria, whereas higher levels of plasma KIM-1 and TNFR-1 were independently associated with greater risk of all-cause mortality.

Keywords: Inflammation; cardiovascular risk; chronic kidney disease; kidney injury; mortality.

Plain language summary

Blood levels of kidney injury molecule-1 (KIM-1) and soluble tumor necrosis factor receptors (TNFR-1 and TNFR-2) have been associated with progression of kidney disease. We evaluated if these biomarkers were associated with risk of cardiovascular events and all-cause mortality in individuals without diabetes with hypertension and chronic kidney disease from the Systolic Blood Pressure Intervention Trial adjusting for relevant risk factors and biomarkers. We found none of the biomarkers were associated with risk of cardiovascular events, whereas KIM-1 and TNFR-1 were associated with risk of all-cause mortality. These findings suggest KIM-1 and TNFR-1 may be useful for risk prediction and emphasize the importance of inflammation as a risk factor for mortality.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Spearman’s correlation of plasma tubule and inflammatory biomarkers with measures of glomerular function in SPRINT participants with chronic kidney disease. eGFR, estimated glomerular filtration rate by creatinine and cystatin C; KIM-1, kidney injury molecule 1; SPRINT, Systolic Blood Pressure Intervention Trial; TNFR-1, tumor necrosis factor receptor-1; TNFR-2, tumor necrosis factor receptor-2; UACR, urine albumin to creatinine ratio.
Figure 2
Figure 2
Plot of hazard ratios for the composite cardiovascular outcome across values of KIM-1, TNFR-1, and TNFR-2 with biomarkers modeled as restricted cubic splines. Reference point for risk estimates is the median values of biomarkers and dashed lines represent 95% CIs. CI, confidence interval; KIM-1, kidney injury molecule-1; TNFR-1, tumor necrosis factor receptor-1; TNFR-2, tumor necrosis factor receptor-2.
Figure 3
Figure 3
Forest plot of associations of plasma biomarkers of inflammation and tubule injury with individual cardiovascular outcomes in the fully adjusted model among SPRINT participants with chronic kidney disease. ACS, acute coronary syndrome; CI, confidence interval; KIM-1, kidney injury molecule-1; MI, myocardial infarction; TNFR-1, tumor necrosis factor receptor-1; TNFR-2, tumor necrosis factor receptor-2.
Figure 4
Figure 4
Plot of hazard ratios for all-cause mortality across values of KIM-1, TNFR-1, and TNFR-2 with biomarkers modeled as restricted cubic splines. Reference point for risk estimates is the median values of biomarkers and dashed lines represent 95% confidence intervals. CI, confidence interval; KIM-1, kidney injury molecule-1; TNFR-1, tumor necrosis factor receptor-1; TNFR-2, tumor necrosis factor receptor-2.

Similar articles

References

    1. Tonelli M., Wiebe N., Culleton B., et al. Chronic kidney disease and mortality risk: a systematic review. J Am Soc Nephrol. 2006;17(7):2034–2047. doi: 10.1681/ASN.2005101085. - DOI - PubMed
    1. Go A.S., Chertow G.M., Fan D., McCulloch C.E., Hsu C.Y. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med. 2004;351(13):1296–1305. doi: 10.1056/NEJMoa041031. - DOI - PubMed
    1. Chronic Kidney Disease Prognosis Consortium, Matsushita K., van der Velde M., et al. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis. Lancet. 2010;375(9731):2073–2081. doi: 10.1016/S0140-6736(10)60674-5. - DOI - PMC - PubMed
    1. Jankowski J., Floege J., Fliser D., Böhm M., Marx N. Cardiovascular disease in chronic kidney disease: Pathophysiological Insights and Therapeutic Options. Circulation. 2021;143(11):1157–1172. doi: 10.1161/CIRCULATIONAHA.120.050686. - DOI - PMC - PubMed
    1. System USRD. 2023 USRDS Annual Data Report: Epidemiology of Kidney Disease in the United States. National Institutes of Health – National Institute of Diabetes and Digestive and Kidney Diseases; 2023.

LinkOut - more resources