Literature DB >> 31104272

E-cadherin and periostin in early detection and progression of diabetic nephropathy: epithelial-to-mesenchymal transition.

Nada M Qamar El-Dawla1, Al-Aliaa M Sallam2, Mohamed H El-Hefnawy3, Hala O El-Mesallamy4.   

Abstract

BACKGROUND: Diabetic nephropathy (DN) is a severe complication of diabetes mellitus (DM). Many mechanisms are involved in its development; one of these mechanisms is epithelial-to-mesenchymal transition (EMT). During EMT, losing of the epithelial biomarkers like E-cadherin and increasing of mesenchymal biomarkers like periostin are very characteristic.
METHODS: The study included 19 healthy controls and 71 DN patients categorized according to their urinary albumin-to-creatinine ratio (UACR) into 19 normoalbuminuric (UACR < 30 mg/g), 37 microalbuminuric (UACR 30-300 mg/g), and 15 macroalbuminuric (UACR > 300 mg/g) patients. Fasting plasma glucose (FPG), glycated hemoglobin (HbA1C%), serum creatinine (Cr), and urea were measured. E-cadherin and periostin were measured by ELISA and compared among groups.
RESULTS: Concerning E-cadherin levels, in comparison to control group, there were significantly decreased in all groups (0.94, 0.52, and 0.14 ng/mL in normoalbuminuria, microalbuminuria, and macroalbuminuria groups; respectively). For periostin levels, nonsignificant increase in normoalbuminuria (0.32 ng/mL) than control group (0.3 ng/mL) was observed. There was a significant increase in other groups with the highest values in macroalbuminuria group (1.66 ng/mL). E-cadherin and periostin were correlated with each other (r = - 0.353, P < 0.001). UACR was negatively correlated with E-cadherin and positively correlated with periostin. ROC curve analyses showed that the AUC to diagnose established microalbuminuria using E-cadherin was 0.998 (95% CI 0. 932-1), and using periostin was 0.833 (95% CI 0.709-0.919).
CONCLUSION: Serum E-cadherin and periostin could be considered as reliable biomarkers involved in DN pathogenesis and linked to its stages.

Entities:  

Keywords:  Diabetic nephropathy; E-cadherin; EMT; Periostin

Mesh:

Substances:

Year:  2019        PMID: 31104272     DOI: 10.1007/s10157-019-01744-3

Source DB:  PubMed          Journal:  Clin Exp Nephrol        ISSN: 1342-1751            Impact factor:   2.801


  9 in total

1.  Potential Role of N-Cadherin in Diagnosis and Prognosis of Diabetic Nephropathy.

Authors:  Hamad Ali; Mohamed Abu-Farha; Maha M Hammad; Sriraman Devarajan; Yousif Bahbahani; Irina Al-Khairi; Preethi Cherian; Zahra Alsairafi; Vidya Vijayan; Fahd Al-Mulla; Abdulnabi Al Attar; Jehad Abubaker
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-31       Impact factor: 6.055

2.  Circ-AKT3 inhibits the accumulation of extracellular matrix of mesangial cells in diabetic nephropathy via modulating miR-296-3p/E-cadherin signals.

Authors:  Bo Tang; Weiliang Li; Ting-Ting Ji; Xiao-Ying Li; Xiaolei Qu; Linhong Feng; Shoujun Bai
Journal:  J Cell Mol Med       Date:  2020-06-28       Impact factor: 5.310

Review 3.  Advances in the Progression and Prognosis Biomarkers of Chronic Kidney Disease.

Authors:  Zhonghong Yan; Guanran Wang; Xingyang Shi
Journal:  Front Pharmacol       Date:  2021-12-21       Impact factor: 5.810

4.  Meta-Analysis and Bioinformatics Detection of Susceptibility Genes in Diabetic Nephropathy.

Authors:  Maria Tziastoudi; Christos Cholevas; Theoharis C Theoharides; Ioannis Stefanidis
Journal:  Int J Mol Sci       Date:  2021-12-21       Impact factor: 5.923

Review 5.  Early detection of diabetic nephropathy in patient with type 2 diabetes mellitus: A review of the literature.

Authors:  Sopida Thipsawat
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Review 6.  The role of periostin in kidney diseases.

Authors:  Agnieszka Turczyn; Małgorzata Pańczyk-Tomaszewska
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7.  Identification of Hub Genes Involved in Tubulointerstitial Injury in Diabetic Nephropathy by Bioinformatics Analysis and Experiment Verification.

Authors:  Jiayi Yang; Li Peng; Yuqiu Tian; Wenbin Tang; Linlin Peng; Jianping Ning; Dongjie Li; Yun Peng
Journal:  J Immunol Res       Date:  2022-08-12       Impact factor: 4.493

Review 8.  Review of potential biomarkers of inflammation and kidney injury in diabetic kidney disease.

Authors:  Vuthi Khanijou; Neda Zafari; Melinda T Coughlan; Richard J MacIsaac; Elif I Ekinci
Journal:  Diabetes Metab Res Rev       Date:  2022-07-11       Impact factor: 8.128

9.  Serum Periostin as a Potential Biomarker in Pediatric Patients with Primary Hypertension.

Authors:  Michał Szyszka; Piotr Skrzypczyk; Anna Stelmaszczyk-Emmel; Małgorzata Pańczyk-Tomaszewska
Journal:  J Clin Med       Date:  2021-05-15       Impact factor: 4.241

  9 in total

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