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June 20, 2026Journal of Medical Biochemistry0 citationsOpen Access

Synergistic prognostic value of inflammatory and novel biomarkers for cardiovascular and renal outcomes in stage 3-4 chronic kidney disease

WZWenliang ZhaiSGShubin Guo

Key Points

  • This research aims to assess the prognostic value of inflammatory and novel biomarkers in chronic kidney disease stages 3 to 4 for predicting renal and cardiovascular outcomes.
  • Prospective, single-centre cohort study with 218 patients
  • Measured baseline serum levels of inflammatory and fibrotic biomarkers
  • Monitored for 36 months for primary composite endpoint including eGFR decline, kidney failure, or major adverse cardiovascular event.
  • 66 participants (31.2%) experienced the composite outcome over 36 months.
  • Higher baseline concentrations of IL-6, Gal-3, and FGF-23 were independently associated with the composite outcome (HR 1.82, HR 2.15, HR 1.95 respectively).
  • The Triple-Biomarker Risk Score significantly improved risk stratification with an AUC of 0.84 versus 0.72 for eGFR, p<0.01.

Abstract

Background: Chronic Kidney Disease (CKD) progression is driven by intertwined pathways of inflammation, fibrosis, and disordered mineral metabolism. While cytokines like IL-6 and TNF-α are established inflammatory markers, their prognostic value may be enhanced by combining them with emerging partners, such as Galectin-3 (Gal3, a fibrosis/pro-inflammatory amplifier) and Fibroblast Growth Factor-23. We investigated the prognostic power of this novel panel, both individually and in combination, for renal and cardiovascular (CV) outcomes. Methods: A prospective, single-centre cohort study enrolled 218 patients with CKD stages 3 to 4. Baseline serum concentrations of TGF-β, IL-6, Gal-3, IL-1β, TNF-α, and FGF-23 were assessed. Participants were monitored for 36 months for a primary composite endpoint that included a decline in estimated glomerular filtration rate of at least 40 percent, progression to kidney failure requiring replacement therapy, or a major adverse cardiovascular event. Cox proportional-hazards models, Kaplan-Meier analysis, and receiver operating characteristic curves were utilized. In this prospective, single-centre cohort study, 218 patients with CKD stages 3-4 were enrolled. Baseline serum levels of IL-6, IL-1β, TNF-α, TGF-β, Gal-3, and FGF-23 were measured. Patients were followed for 36 months for a primary composite endpoint: 40% decline in eGFR, progression to kidney failure requiring replacement therapy (KFRT), or a major adverse CV event (MACE). Cox proportional-hazards models, Kaplan-Meier analysis, and receiver operating characteristic (ROC) curves were employed. Results: Over the 36-month follow-up, 68 participants (31.2%) experienced the composite outcome. In time-to-event analyses, higher concentrations of all biomarkers except IL-1 b were significantly related to event occurrence in unadjusted models. However, after controlling for age, diabetes status, baseline eGFR, and albuminuria in multivariable Cox regression, only IL-6 (HR 1.82, 95% CI 1.30-2.55), Galectin-3 (HR 2.15, 95% CI 1.45-3.18), and FGF-23 (Hr 1.95, 95% CI 1.35-2.82) retained independent prognostic value. Building on these three markers, we constructed a Triple-Biomarker Risk Score (TBRS) using tertile-based categories of IL-6, Galectin-3, and FGF-23, which demonstrated a strong stepwise increase in risk across score strata. Individuals classified in the highest TBRS category had approximately a 9-fold greater hazard of reaching the composite endpoint than those in the lowest category (HR 9.10, 95% CI 3.82-21.68). Discrimination analyses showed that the TBRS achieved an AUC of 0.84, significantly outperforming eGFR as a standalone predictor (AUC 0.72, p0.01), underscoring the added value of this multi-marker approach for risk stratification. Conclusion: The combination of a classic inflammatory cytokine (IL-6), a fibrotic/pro-inflammatory lectin (Gal-3), and a phosphaturic hormone (FGF-23) provides a superior prognostic signature in moderate CKD. This panel reflects key pathological axes - inflammation, fibrosis, and mineral dysregulation - and significantly improves risk stratification for both renal and cardiovascular outcomes.

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Cite This Study

Zhai et al. (2026) studied this question.

synapsesocial.com/papers/6a363274db0793dc1a53905ehttps://doi.org/10.5937/jomb0-63275
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