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Prado MSG, de Jesus ML, de Goes TC, Mendonça LSO, Kaneto CM. Downregulation of circulating miR-320a and target gene prediction in patients with diabetic retinopathy. BMC Res Notes 2020; 13:155. [PMID: 32178730 PMCID: PMC7077016 DOI: 10.1186/s13104-020-05001-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 03/10/2020] [Indexed: 12/11/2022] Open
Abstract
Objective To evaluate the expression of a set of miRNAs to identify differentially expressed miRNAs that might be considered reliable biomarkers on Diabetic Retinopathy (DR) blood samples. Results Expression levels of MiR-320a, MiR-342-3p, MiR-155, MiR-99a, MiR-29a and MiR-27b were analyzed in 60 healthy controls, 48 Diabetes Melitus (DM) without DR patients and 62 DR patients by qRT-PCR. MiR-320a was shown to be downregulated in the plasma of DR patients compared with DM patients without DR and healthy subjects. Target genes were predicted using miRWalk3.0, miR targeting data and target gene interaction data were imported to Cytoscape to visualize and merge networks and top ranked predicted genes were run through Ontology Genes to perform enrichment analysis on gene sets and classification system to identify biological processes and reactome pathways associated with DR. Highly scored target genes of miR-320a were categorized for various biological processes, including negative regulation of cell aging, negative regulation of cellular protein metabolic process and regulation of cellular response to stress that are critical to the development of DR. Our findings suggest that MiR-320a may have a role in the pathogenesis of DR and may represent novel biomarkers for this disease.
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Affiliation(s)
| | - Mirthz Lemos de Jesus
- Department of Health Science, Universidade Estadual de Santa Cruz, Ilhéus, BA, Brazil
| | - Thaline Cunha de Goes
- Department of Biological Science, Universidade Estadual de Santa Cruz, Rodovia Jorge Amado, Km16, Ilhéus, BA, 45662-900, Brazil
| | - Lucilla Silva Oliveira Mendonça
- Department of Biological Science, Universidade Estadual de Santa Cruz, Rodovia Jorge Amado, Km16, Ilhéus, BA, 45662-900, Brazil
| | - Carla Martins Kaneto
- Department of Biological Science, Universidade Estadual de Santa Cruz, Rodovia Jorge Amado, Km16, Ilhéus, BA, 45662-900, Brazil.
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Prado MSG, de Goes TC, de Jesus ML, Mendonça LSO, Nascimento JS, Kaneto CM. Identification of miR-328-3p as an endogenous reference gene for the normalization of miRNA expression data from patients with Diabetic Retinopathy. Sci Rep 2019; 9:19677. [PMID: 31873160 PMCID: PMC6928074 DOI: 10.1038/s41598-019-56172-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 12/06/2019] [Indexed: 12/18/2022] Open
Abstract
Diabetic Retinopathy, the main cause of visual loss and blindness among working population, is a complication of Diabetes mellitus (DM), which has been described as a major public health challenge, so it is important to identify biomarkers to predict and to stratify patient´s possibility for developing DR. MicroRNAs (miRNAs) are small non-coding RNA molecules that have showed to be promising disease biomarkers and association of miRNAs with the possibility to develop DR has been reported. However, evaluating miRNA expression involves normalization of RT-qPCR data using internal reference genes that should be properly determined, considering their impact on expression levels calculation and, until date, there is no unanimity on reference miRNAs for the investigation of circulating miRNAs in DR. We aimed to estimate the appropriateness of a group of miRNAs as normalizers to identify which might be considered steady internal reference genes in expression studies on DR plasma samples. Expression levels of candidates were analyzed in 60 healthy controls, 48 DM without DR patients and 62 DR patients with two statistical tools: NormFinder and RefFinder. MiR-328-3p was the most stable gene and we also investigated the effect of gene normalization, demonstrating that different normalization strategies have important implications for accurate data interpretation.
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Affiliation(s)
| | - Thaline Cunha de Goes
- Department of Biological Science, Universidade Estadual de Santa Cruz, Ilhéus, BA, Brazil
| | - Mirthz Lemos de Jesus
- Department of Health Science, Universidade Estadual de Santa Cruz, Ilhéus, BA, Brazil
| | | | | | - Carla Martins Kaneto
- Department of Biological Science, Universidade Estadual de Santa Cruz, Ilhéus, BA, Brazil.
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Melak T, Baynes HW. Circulating microRNAs as possible biomarkers for coronary artery disease: a narrative review. EJIFCC 2019; 30:179-194. [PMID: 31263392 PMCID: PMC6599194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Coronary artery disease is one of the most common cardiovascular diseases in the world. Involvement of microRNAs on the pathogenesis of this disease was reported either in beneficial or detrimental way. Different studies have also speculated that circulating microRNAs can be applied as promising biomarkers for the diagnosis of coronary artery disease. Particularly, microRNA-133a seems to fulfill the criteria of ideal biomarkers due to its role in the diagnosis, severity assessment and in prognosis. The panel of circulating microRNAs has also improved the predictive power of coronary artery disease compared to single microRNAs. In this review, the role of circulating microRNAs for early detection, severity assessment and prognosis of coronary artery disease were reviewed.
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Affiliation(s)
- Tadele Melak
- Department of Clinical Chemistry, School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Northwest Ethiopia, Ethiopia
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Seo J, Shin JY, Leijten J, Jeon O, Camci-Unal G, Dikina AD, Brinegar K, Ghaemmaghami AM, Alsberg E, Khademhosseini A. High-throughput approaches for screening and analysis of cell behaviors. Biomaterials 2018; 153:85-101. [PMID: 29079207 PMCID: PMC5702937 DOI: 10.1016/j.biomaterials.2017.06.022] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2016] [Revised: 06/17/2017] [Accepted: 06/19/2017] [Indexed: 02/06/2023]
Abstract
The rapid development of new biomaterials and techniques to modify them challenge our capability to characterize them using conventional methods. In response, numerous high-throughput (HT) strategies are being developed to analyze biomaterials and their interactions with cells using combinatorial approaches. Moreover, these systematic analyses have the power to uncover effects of delivered soluble bioactive molecules on cell responses. In this review, we describe the recent developments in HT approaches that help identify cellular microenvironments affecting cell behaviors and highlight HT screening of biochemical libraries for gene delivery, drug discovery, and toxicological studies. We also discuss HT techniques for the analyses of cell secreted biomolecules and provide perspectives on the future utility of HT approaches in biomedical engineering.
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Affiliation(s)
- Jungmok Seo
- Biomaterials Innovation Research Center, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA; Center for Biomaterials, Korea Institute of Science and Technology, 14 Hwarang-ro, Seongbuk-gu, Seoul, 02792, South Korea
| | - Jung-Youn Shin
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Jeroen Leijten
- Biomaterials Innovation Research Center, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA; Department of Developmental BioEngineering, MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
| | - Oju Jeon
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Gulden Camci-Unal
- Biomaterials Innovation Research Center, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA; Department of Chemical Engineering, University of Massachusetts Lowell, 1 University Ave, Lowell, MA, 01854-2827, USA
| | - Anna D Dikina
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Katelyn Brinegar
- Biomaterials Innovation Research Center, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Amir M Ghaemmaghami
- Division of Immunology, School of Life Sciences, Faculty of Medicine and Health Sciences, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Eben Alsberg
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA; Department of Orthopaedic Surgery, Case Western Reserve University, Cleveland, OH, 44106, USA; National Center for Regenerative Medicine, Division of General Medical Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA.
| | - Ali Khademhosseini
- Biomaterials Innovation Research Center, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA; Department of Bioindustrial Technologies, College of Animal Bioscience and Technology, Konkuk University, Hwayang-dong, Gwangjin-gu, Seoul, 143-701, Republic of Korea; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA; Department of Physics, King Abdulaziz University, Jeddah, 21569, Saudi Arabia.
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Abu-Halima M, Meese E, Keller A, Abdul-Khaliq H, Rädle-Hurst T. Analysis of circulating microRNAs in patients with repaired Tetralogy of Fallot with and without heart failure. J Transl Med 2017; 15:156. [PMID: 28693530 PMCID: PMC5504636 DOI: 10.1186/s12967-017-1255-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Accepted: 06/24/2017] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND MicroRNAs (miRNAs) are a class of regulatory RNAs that regulate gene expression post-transcriptionally. Little, however, is known on the expression profile of circulating miRNAs in Tetralogy of Fallot (TOF) patients late after surgical repair. In this study, we aimed to identify the specific patterns of circulating miRNAs in blood of patients with repaired, non-syndromic TOF and to assess whether these specific miRNAs may be useful to differentiate patients with and without heart failure. METHODS SurePrint™ 8 × 60 K Human v16 miRNA arrays were used to determine miRNA expression profiles in 15 healthy controls and 37 patients after TOF repair of whom 3 had symptomatic right heart failure. The expression levels of selected miRNAs have been validated by quantitative reverse transcription polymerase chain reaction (RT-qPCR). Enrichment analyses of altered miRNA expression were predicted using bioinformatic tools. RESULTS Compared with healthy controls, a total of 49, 58 and 77 miRNAs were found to be significantly altered in TOF patients (TOF-all), TOF patients with (TOF-HF) and without symptomatic right heart failure (TOF-noHF) (>2.0-fold change, adjusted P < 0.05), respectively. Three miRNAs namely miR-181d-5p, miR-206 and miR-625-5p were validated by RT-qPCR in all TOF groups. The area under the receiver operating characteristic curve (AUC) for miR-181d-5p, miR-206 and miR-625-5p were 0.987, 0.993 and 0.769 in TOF-all and 0.990, 0.994 and 0.749 in TOF-noHF, respectively. Moreover, expression levels of miR-625-5p, miR-1233-3p and miR-421 were lower in TOF-HF compared to TOF-noHF (P = 0.012). CONCLUSIONS Altered expression levels of circulating miRNAs were found in TOF patients late after surgical repair and are different to those seen in the right ventricular myocardium of infants with TOF. Expression levels of miR-421, miR-1233-3p and miR-625-5p are lower in TOF patients with symptomatic right heart failure and thus may indicate disease progression in these patients.
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Affiliation(s)
- Masood Abu-Halima
- Department of Human Genetics, Saarland University, 66421, Homburg/Saar, Germany. .,Department of Human Genetics, Saarland University Medical Center, Kirrberger Straße 100, 66421, Homburg/Saar, Germany.
| | - Eckart Meese
- Department of Human Genetics, Saarland University, 66421, Homburg/Saar, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland University, 66041, Saarbruecken, Germany
| | - Hashim Abdul-Khaliq
- Department of Pediatric Cardiology, Saarland University Medical Center, 66421, Homburg/Saar, Germany
| | - Tanja Rädle-Hurst
- Department of Pediatric Cardiology, Saarland University Medical Center, 66421, Homburg/Saar, Germany
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