Secretory leukocyte protease inhibitor as a novel predictive biomarker in patients with diabetic kidney disease.

biomarkers diabetic kidney disease prognosis renal clinical endpoint events secretory leucocyte protease inhibitor

Journal

Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782

Informations de publication

Date de publication:
2024
Historique:
received: 07 11 2023
accepted: 14 02 2024
medline: 19 3 2024
pubmed: 19 3 2024
entrez: 19 3 2024
Statut: epublish

Résumé

Secretory leukocyte protease inhibitor (SLPI) is a multifunctional protein involved in the chronic inflammatory process, implicated in the pathogenesis of diabetic kidney disease (DKD). However, its potential as a diagnostic and prognostic biomarker of DKD has yet to be evaluated. This study explored the clinical utility of SLPI in the diagnosis and prognosis of renal endpoint events in patients with DKD. A multi-center cross-sectional study comprised of 266 patients with DKD and a predictive cohort study comprised of 120 patients with stage IV DKD conducted between December 2016 and January 2022. The clinical parameters were collected for statistical analysis, a multivariate Cox proportional hazards model was used to evaluate the independent risk factors for renal endpoints. Serum SLPI levels gradually increased with DKD progression (p<0.01). A significant correlation was observed between serum SLPI levels and renal function in patients with DKD. The mean follow-up duration in this cohort study was 2.32 ± 1.30 years. Multivariate Cox regression analysis showed SLPI levels≥51.61ng/mL (HR=2.95, 95% CI[1.55, 5.60], p<0.01), 24h urinary protein levels≥3500 mg/24h (HR=3.02, 95% CI[1.66, 5.52], p<0.01), Alb levels<30g/l (HR=2.19, 95% CI[1.12, 4.28], p<0.05), HGB levels<13g/dl (HR=3.18, 95% CI[1.49, 6.80], p<0.01), and urea levels≥7.1 mmol/L (HR=8.27, 95% CI[1.96, 34.93], p<0.01) were the independent risk factors for renal endpoint events in DKD patients. Serum SLPI levels increased with DKD progression and were associated with clinical parameters of DKD. Moreover, elevated SLPI levels showed potential prognostic value for renal endpoint events in individuals with DKD. These findings validate the results of previous studies on SLPI in patients with DKD and provide new insights into the role of SLPI as a biomarker for the diagnosis and prognosis of DKD that require validation.

Sections du résumé

Background UNASSIGNED
Secretory leukocyte protease inhibitor (SLPI) is a multifunctional protein involved in the chronic inflammatory process, implicated in the pathogenesis of diabetic kidney disease (DKD). However, its potential as a diagnostic and prognostic biomarker of DKD has yet to be evaluated. This study explored the clinical utility of SLPI in the diagnosis and prognosis of renal endpoint events in patients with DKD.
Methods UNASSIGNED
A multi-center cross-sectional study comprised of 266 patients with DKD and a predictive cohort study comprised of 120 patients with stage IV DKD conducted between December 2016 and January 2022. The clinical parameters were collected for statistical analysis, a multivariate Cox proportional hazards model was used to evaluate the independent risk factors for renal endpoints.
Results UNASSIGNED
Serum SLPI levels gradually increased with DKD progression (p<0.01). A significant correlation was observed between serum SLPI levels and renal function in patients with DKD. The mean follow-up duration in this cohort study was 2.32 ± 1.30 years. Multivariate Cox regression analysis showed SLPI levels≥51.61ng/mL (HR=2.95, 95% CI[1.55, 5.60], p<0.01), 24h urinary protein levels≥3500 mg/24h (HR=3.02, 95% CI[1.66, 5.52], p<0.01), Alb levels<30g/l (HR=2.19, 95% CI[1.12, 4.28], p<0.05), HGB levels<13g/dl (HR=3.18, 95% CI[1.49, 6.80], p<0.01), and urea levels≥7.1 mmol/L (HR=8.27, 95% CI[1.96, 34.93], p<0.01) were the independent risk factors for renal endpoint events in DKD patients.
Conclusions UNASSIGNED
Serum SLPI levels increased with DKD progression and were associated with clinical parameters of DKD. Moreover, elevated SLPI levels showed potential prognostic value for renal endpoint events in individuals with DKD. These findings validate the results of previous studies on SLPI in patients with DKD and provide new insights into the role of SLPI as a biomarker for the diagnosis and prognosis of DKD that require validation.

Identifiants

pubmed: 38501106
doi: 10.3389/fendo.2024.1334418
pmc: PMC10944902
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1334418

Informations de copyright

Copyright © 2024 Sun, Yang, Zhang, Wei, Wu, Yang, Cao, Cui, Zheng and Wang.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Weiwei Sun (W)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.

Hanwen Yang (H)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Department of Proctology, China-Japan Friendship Hospital, Beijing, China.

Jiale Zhang (J)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.

Shuwu Wei (S)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.

Qiaoru Wu (Q)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.

Jie Yang (J)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.

Can Cao (C)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.

Zhaoli Cui (Z)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.

Huijuan Zheng (H)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.
Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China.

Yaoxian Wang (Y)

Department of Nephrology and Endocrinology, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine, Beijing, China.
Renal Research Institution of Beijing University of Chinese Medicine, Beijing, China.

Classifications MeSH