Literature DB >> 30963453

Prognostic impact of galectin-3 in chronic kidney disease patients: a systematic review and meta-analysis.

Tao Zhang1, Shili Cao1, Hongtao Yang2, Jing Li3.   

Abstract

BACKGROUND: Galectin-3 as a β-galactoside-binding lectin, which has served important functions in numerous biological activities including cell growth, apoptosis, pre-mRNA splicing, differentiation, transformation, angiogenesis, inflammation, fibrosis, and host defense, may be used in prediction of clinical outcomes in CKD patients. However, the given results remain debatable and inconclusive. Hence, we performed a comprehensive meta-analysis to clarify the predictive value of galectin-3 in patients with CKD, especially ESRD patients going on dialysis.
METHODS: PubMed and Embase electronic databases were searched to identify eligible studies reporting the association between galectin-3 and adverse outcomes in CKD patients. We searched the literatures published October 2018 or earlier. We used both fix-effects and random-effects models to calculate the overall effect estimate. An I2 > 50% indicates at least moderate statistical heterogeneity. A sensitivity analysis and subgroup analysis were performed to find the origin of heterogeneity.
RESULTS: We ultimately enrolled five studies with a total of 5226 patients in this meta-analysis. The result showed that high galectin-3 levels were associated with increased risk of all-cause mortality and cardiovascular (CV) events in CKD patients. For every 1% increased in galectin-3, the risk of all-cause mortality increased by 37.9% (HR 1.379, 95% CI 1.090-1.744). Much more, the risk of CV events in CKD patients was also significantly increased (HR 1.054, 95% CI 1.007-1.102) with no statistical heterogeneity among the studies (I2 = 0.0%, p = 0.623). However, there was no statistical difference between the risk of all-cause mortality and galectin-3 in HD patients (HR 1.171, 95% CI 0.963-1.425).
CONCLUSIONS: Our meta-analysis suggests that high levels of galectin-3 may increase the risk of all-cause mortality and CV events in CKD patients, however, probably not a sensitive biomarker for outcomes in HD patients. Further studies were warranted to validate our findings.

Entities:  

Keywords:  Chronic kidney disease; Galectin-3; Hemodialysis; Meta-analysis; Mortality

Year:  2019        PMID: 30963453     DOI: 10.1007/s11255-019-02123-3

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  11 in total

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2.  Galectin 3 (LGALS3) Gene Polymorphisms Are Associated with Biochemical Parameters and Primary Disease in Patients with End-Stage Renal Disease in Serbian Population.

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4.  Elevated levels of soluble ST2 but not galectin-3 are associated with increased risk of mortality in hemodialysis patients.

Authors:  Ae Jin Kim; Han Ro; Hyunsook Kim; Kwang-Pil Ko; Jae Hyun Chang; Hyun Hee Lee; Wookyung Chung; Ji Yong Jung
Journal:  Kidney Res Clin Pract       Date:  2021-03-05

Review 5.  Advances in the Progression and Prognosis Biomarkers of Chronic Kidney Disease.

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6.  Serum Galectin-3 levels and all-cause and cardiovascular mortality in maintenance hemodialysis patients: a prospective cohort study.

Authors:  Shuxin Liu; Qijun Wu; Shuang Zhang; Zhihong Wang; Hong Liu; Lanbo Teng; Ping Xiao; Yan Lu; Xuena Wang; Cui Dong; Jia Xiao; Jiayu Zhang
Journal:  BMC Nephrol       Date:  2022-01-03       Impact factor: 2.388

7.  Serum Galectin-3 Level Is Positively Associated with Endothelial Dysfunction in Patients with Chronic Kidney Disease Stage 3 to 5.

Authors:  Bang-Gee Hsu; Chih-Hsien Wang; Yu-Hsien Lai; Jen-Pi Tsai
Journal:  Toxins (Basel)       Date:  2021-07-29       Impact factor: 4.546

8.  Mesenchymal stem cells ameliorate renal fibrosis by galectin-3/Akt/GSK3β/Snail signaling pathway in adenine-induced nephropathy rat.

Authors:  Huajun Tang; Peiyue Zhang; Lianlin Zeng; Yu Zhao; Libo Xie; Bo Chen
Journal:  Stem Cell Res Ther       Date:  2021-07-16       Impact factor: 6.832

9.  Galectins for Diagnosis and Prognostic Assessment of Human Diseases: An Overview of Meta-Analyses.

Authors:  Yiting Liu; Hao Meng; Shixue Xu; Xingshun Qi
Journal:  Med Sci Monit       Date:  2020-08-03

Review 10.  Biomarkers Associated with Cardiovascular Disease in COVID-19.

Authors:  Christoph C Kaufmann; Amro Ahmed; Achim Leo Burger; Marie Muthspiel; Bernhard Jäger; Johann Wojta; Kurt Huber
Journal:  Cells       Date:  2022-03-08       Impact factor: 6.600

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