ORIGINAL RESEARCH article
Front. Mol. Biosci.
Sec. RNA Networks and Biology
This article is part of the Research TopicNon-coding RNAs in Disease Mechanisms and TherapeuticsView all 3 articles
Investigating Circulating Expression Profile for H19, MEG3, and MIAT long noncoding RNAs with miR-135a, and miR-29a in chronic Chronic kidney Kidney disease Disease and Renal Hemodialysis patients: Interrelations with Serum Sclerostin
Provisionally accepted
Marwa A. Dahpy1*
Marwa K. Khairallah2Rania Naguib3Mona A. Khalil4
Salwa Seif Eldin3Marwa A. Sabet5Amira A. Kamel6- 1Medical Biochemistry and Molecular Biology Faculty of Medicine / Assiut Univeristy and AFCM, Egypt, Egypt
- 2Assiut University Faculty of Medicine, Asyut, Egypt
- 3Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
- 4Department of Biochemistry and Molecular Biology,Faculty of Medicine, Al-Azhar, University, Cairo,Egypt.., Cairo, Egypt
- 5Sphinx University, New Assiut, Egypt
- 6Assiut University, Asyut, Egypt
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Background and Aim: Chronic kidney disease (CKD) incorporates a variety of progressive kidney function decline, ranging from mild impairment to end-stage renal disease (ESRD). As a global public health problem, early detection and monitoring remain critical for improving patient outcomes. This study aimed to evaluate the potential diagnostic significance and interrelationships of serum Sclerostin, lncRNA H19, lncRNA MEG3, lncRNA MIAT, miR-135a, and miR-29a in patients with CKD and those undergoing hemodialysis. Methods: A total of 150 participants were enrolled in this presenting case control study; 50 hemodialysis patients, 50 CKD patients, and 50 healthy controls. Circulating serum Sclerostin levels were measured using ELISA. Real-time quantitative PCR (RT-qPCR) was used to measure the circulating levels of lncRNAs (H19, MEG3, MIAT) and microRNAs (miR-135a, miR-29a). A spectrophotometer was used to check the levels of calcium, creatinine, urea, and phosphorus in the blood. Results: Both CKD and hemodialysis groups displayed significantly elevated levels of all studied biomarkers compared with controls. However, the highest levels of Sclerostin, lncRNAs (H19, MEG3, MIAT), and microRNAs (miR-135a, miR-29a) were found in the hemodialysis group. LncRNA MIAT, miR-135a, and miR-29a showed high sensitivity and specificity in distinguishing CKD patients from healthy controls. Additionally, H19, MEG3, and miR-29a displayed strong discriminatory power between CKD and hemodialysis patients. All studied biomarkers exhibited strong positive correlations. Predictive modeling identified lncRNAs H19, MEG3, and MIAT as significant predictors of hemodialysis status, while sclerostin, MEG3, and MIAT were the strongest predictors of CKD. Conclusions: Serum sclerostin, lncRNAs (H19, MEG3, MIAT), and microRNAs (miR-135a, miR-29a) are significantly interrelated and may serve as promising non-invasive molecular biomarkers for early detection, and monitoring of CKD and hemodialysis patients.
Keywords: CKD, hemodialysis, lncRNA H19, lncRNA MIAT, LncRNAMEG3, miR-135a, miR-29a, qPCR
Received: 10 Sep 2025; Accepted: 12 Dec 2025.
Copyright: © 2025 Dahpy, Khairallah, Naguib, Khalil, Seif Eldin, Sabet and Kamel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Marwa A. Dahpy
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