PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 10, 2026Journal of Inflammation Research0 citationsOpen Access

Differential Diagnostic Value of Neutrophil Gelatinase-Associated Lipocalin and Cystatin C in Ischemic Stroke Patients with or without Chronic Kidney Disease

YJYing JinZhejiang A & F UniversityXCXiaohong ChenNorth China Electric Power UniversityXXXiao XiaoMianyang Central Hospital

Key Points

  • This study investigates the diagnostic value of kidney biomarkers NGAL and CysC in ischemic stroke patients, focusing on their differences based on kidney function.
  • Conducted a case-control study with 498 patients having their first ischemic stroke and 293 healthy controls.
  • Compared serum levels of NGAL and CysC among ischemic stroke patients, disease control, and healthy subjects.
  • Performed partial correlation and stratified multiple linear regression analyses based on kidney function.
  • Serum NGAL levels were significantly elevated in ischemic stroke patients compared to healthy and disease control groups.
  • Cystatin C showed a significant increase in ischemic stroke patients compared to healthy controls but not in disease controls.
  • In patients with normal kidney function, NGAL was the strongest correlated biomarker, while for those with chronic kidney disease, CysC had the strongest correlation with ischemic stroke risk.

Abstract

Background and Objective: The similarities in organizational structure and microenvironment between the brain and kidneys suggest the potential utility of kidney biomarkers in the detection of cerebrovascular diseases. Cystatin C (CysC) and neutrophil gelatinase-associated lipocalin (NGAL), well-established sensitive biomarkers of kidney injury, may also recognize as indicators of neuroinflammation. However, their diagnostic capabilities for ischemic stroke (IS) attacks under different kidney function states remain unclear. This case-control study aims to evaluate the diagnostic value of serum kidney biomarkers for ischemic stroke (IS) attack, with focus on NGAL and CysC. Methods: A total of 498 patients with first IS attack, 173 patients with risk-related diseases (designated as the disease control DC group), and 293 healthy subjects (serving as the healthy control HC group) were enrolled. A comprehensive comparative analysis was performed to examine the associations between common kidney biomarkers (Specifically, NGAL and CysC) and IS. Results: Serum NGAL levels were significantly elevated in patients with first IS compared with both the HC group (z=5.964, P 0.05); 2) among IS patients with chronic kidney disease (CKD), CysC showed the highest partial correlation (r partial =0.460, P< 0.001), followed by estimated glomerular filtration rate (r partial =− 0.373, P< 0.001), creatinine (r partial =0.279, P< 0.001), NGAL (r partial =0.233, P< 0.001), and urea (r partial =0.182, P< 0.001). Stratified multiple linear regression analysis based on kidney impairment demonstrated: 1) in patients with preserved kidney function, only NGAL was correlated with IS risk (OR=6.54, P< 0.001), with moderate diagnostic effect (AUC=0.734, P< 0.001); and 2) for CKD patients, CysC outperformed NGAL in diagnosing IS attack, demonstrating a stronger correlation with IS risk (OR=5.97, P< 0.001) and a higher discriminatory ability (AUC=0.835, P< 0.001). Conclusion: IS is intricately linked to both kidney injury and neuroinflammation. NGAL and CysC serve as appropriate biomarkers for diagnosing IS attack in patients with normal kidney function and those with CKD, respectively. Respective monitoring of CysC and NGAL in individuals with and without CKD could facilitate early diagnosis, prevention and targeted management of stroke in high-risk populations. Keywords: ischemic stroke, neutrophil gelatinase-associated lipocalin, cystatin C, kidney injury, neuroinflammation

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jin et al. (2026) studied this question.

synapsesocial.com/papers/69af944f70916d39fea4b5d0https://doi.org/10.2147/jir.s573639
Ask AI
Helpful
Bookmark
Share
View Full Paper