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Luo Y, Jiang Y, Zhong T, Li Z, He J, Li X, Cui K. LncRNA HCG18 affects diabetic cardiomyopathy and its association with miR-9-5p/IGF2R axis. Heliyon 2024; 10:e24604. [PMID: 38322876 PMCID: PMC10845250 DOI: 10.1016/j.heliyon.2024.e24604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 01/09/2024] [Accepted: 01/10/2024] [Indexed: 02/08/2024] Open
Abstract
This paper aimed to investigate the role of lncRNA HCG18 (HCG18) in the progression of diabetic cardiomyopathy (DCM) and potential mechanisms. Streptozocin (STZ) was used to induce DCM model in rats, which was confirmed by blood glucose concentration, body weight, and HE staining. Myocardial apoptosis was detected by TUNEL. H9c2 cardiomyocytes were used to construct cell models of DCM through treatment of high glucose. The results showed that HCG18 was overexpressed in STZ induced DCM rat model and high glucose induced H9c2 cardiomyocytes. Si-HCG18 significantly increased cell viability, reduced cell apoptosis, attenuated activities of myocardial enzymes and enhanced activities of antioxidant enzymes in STZ induced DM model and high glucose induced H9c2 cardiomyocytes, while the results of upregulation of HCG18, in high glucose induced H9c2 cardiomyocytes, were opposite with that of si-HCG18. MiR-9-5p was a target of HCG18, and which was down-regulated in cardiomyocytes of DCM. The overexpression of miR-9-5p could neutralize the high glucose induced cardiomyocyte injury, and the silence of miR-9-5p could reverse the effect of si-HCG18 on high glucose induced cardiomyocytes. MiR-9-5p could directly target to IGF2R, and IGF2R was overexpressed in cardiomyocytes of DCM. Up-regulation of IGF2R can reverse the protective effect of si-HCG18 on cardiomyocytes. Taken together, HCG18 is significantly increased in cardiomyocytes of DCM. Down-regulation of HCG18 can improve cardiomyocyte injury through miR-9-5p/IGF2R axis in DCM.
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Affiliation(s)
- Yuhui Luo
- Department of Cardiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 40013, China
| | - Yi Jiang
- Department of Geriatrics, Chongqing Emergency Medical Center, Central Hospital of Chongqing University, Chongqing, 40013, China
| | - Tingting Zhong
- Department of Cardiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 40013, China
| | - Zhenggong Li
- Department of Cardiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 40013, China
| | - Jia He
- Department of Echocardiogram, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 40013, China
| | - Xiaoli Li
- Department of Cardiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 40013, China
| | - Kun Cui
- Department of Cardiology, Chongqing General Hospital, University of Chinese Academy of Sciences, Chongqing, 40013, China
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Wang L, Sun T, Liu X, Wang Y, Qiao X, Chen N, Liu F, Zhou X, Wang H, Shen H. Myocarditis: A multi-omics approach. Clin Chim Acta 2024; 554:117752. [PMID: 38184138 DOI: 10.1016/j.cca.2023.117752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 12/29/2023] [Accepted: 12/29/2023] [Indexed: 01/08/2024]
Abstract
Myocarditis, an inflammatory condition of weakened heart muscles often triggered by a variety of causes, that can result in heart failure and sudden death. Novel ways to enhance our understanding of myocarditis pathogenesis is available through newer modalities (omics). In this review, we examine the roles of various biomolecules and associated functional pathways across genomics, transcriptomics, proteomics, and metabolomics in the pathogenesis of myocarditis. Our analysis further explores the reproducibility and variability intrinsic to omics studies, underscoring the necessity and significance of employing a multi-omics approach to gain profound insights into myocarditis pathogenesis. This integrated strategy not only enhances our understanding of the disease, but also confirms the critical importance of a holistic multi-omics approach in disease analysis.
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Affiliation(s)
- Lulu Wang
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China
| | - Tao Sun
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212000, Jiangsu, China
| | - Xiaolan Liu
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China
| | - Yan Wang
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China
| | - Xiaorong Qiao
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China
| | - Nuo Chen
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China
| | - Fangqian Liu
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China
| | - Xiaoxiang Zhou
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China
| | - Hua Wang
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China
| | - Hongxing Shen
- School of Medicine, Jiangsu University, Zhenjiang 212013, Jiangsu, China.
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Qian J, Xie J, Lakshmipriya T, Gopinath SCB, Xu H. Heart Infection Prognosis Analysis by Two-dimensional Spot Tracking Imaging. Curr Med Imaging 2020; 16:534-544. [PMID: 32484087 DOI: 10.2174/1573405615666190130164037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 12/19/2018] [Accepted: 01/04/2019] [Indexed: 11/22/2022]
Abstract
Cardiovascular death is one of the leading causes worldwide; an accurate identification followed by diagnosing the cardiovascular disease increases the chance of a better recovery. Among different demonstrated strategies, imaging on cardiac infections yields a visible result and highly reliable compared to other analytical methods. Two-dimensional spot tracking imaging is the emerging new technology that has been used to study the function and structure of the heart and test the deformation and movement of the myocardium. Particularly, it helps to capture the images of each segment in different directions of myocardial strain values, such as valves of radial strain, longitudinal strain, and circumferential strain. In this overview, we discussed the imaging of infections in the heart by using the two-dimensional spot tracking.
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Affiliation(s)
- Jie Qian
- Department of ICU, Shuyang Hospital of Traditional Chinese Medicine, Shuyang, Suqian, Jiangsu 223600, China
| | - Jing Xie
- Department of ICU, Shuyang Hospital of Traditional Chinese Medicine, Shuyang, Suqian, Jiangsu 223600, China
| | - Thangavel Lakshmipriya
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis, Kangar 01000, Perlis, Malaysia
| | - Subash C B Gopinath
- Institute of Nano Electronic Engineering, Universiti Malaysia Perlis, Kangar 01000, Perlis, Malaysia.,School of Bioprocess Engineering, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia
| | - Huaigang Xu
- Department of ICU, Shuyang Hospital of Traditional Chinese Medicine, Shuyang, Suqian, Jiangsu 223600, China
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4
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The spectrum of myocarditis: from pathology to the clinics. Virchows Arch 2019; 475:279-301. [DOI: 10.1007/s00428-019-02615-8] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 06/15/2019] [Accepted: 06/20/2019] [Indexed: 12/14/2022]
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Malatras A, Duguez S, Duddy W. Muscle Gene Sets: a versatile methodological aid to functional genomics in the neuromuscular field. Skelet Muscle 2019; 9:10. [PMID: 31053169 PMCID: PMC6498474 DOI: 10.1186/s13395-019-0196-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 04/09/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The approach of building large collections of gene sets and then systematically testing hypotheses across these collections is a powerful tool in functional genomics, both in the pathway analysis of omics data and to uncover the polygenic effects associated with complex diseases in genome-wide association study. The Molecular Signatures Database includes collections of oncogenic and immunologic signatures enabling researchers to compare transcriptional datasets across hundreds of previous studies and leading to important insights in these fields, but such a resource does not currently exist for neuromuscular research. In previous work, we have shown the utility of gene set approaches to understand muscle cell physiology and pathology. METHODS Following a systematic survey of public muscle data, we passed gene expression profiles from 4305 samples through a robust pre-processing and standardized data analysis pipeline. Two hundred eighty-two samples were discarded based on a battery of rigorous global quality controls. From among the remaining studies, 578 comparisons of interest were identified by a combination of text mining and manual curation of the study meta-data. For each comparison, significantly dysregulated genes (FDR adjusted p < 0.05) were identified. RESULTS Lists of dysregulated genes were divided between upregulated and downregulated to give 1156 Muscle Gene Sets (MGS). This resource is available for download ( www.sys-myo.com/muscle_gene_sets ) and is accessible through three commonly used functional genomics platforms (GSEA, EnrichR, and WebGestalt). Basic guidance and recommendations are provided for the use of MGS through these platforms. In addition, consensus muscle gene sets were created to capture the overlap between the results of similar studies, and analysis of these highlighted the potential for novel disease-relevant findings. CONCLUSIONS The MGS resource can be used to investigate the behaviour of any list of genes across previous comparisons of muscle conditions, to compare previous studies to one another, and to explore the functional relationship of muscle dysregulation to the Gene Ontology. Its major intended use is in enrichment testing for functional genomics analysis.
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Affiliation(s)
- Apostolos Malatras
- Myologie Centre de Recherche, Université Sorbonne, UMRS 974 UPMC, INSERM, FRE 3617 CNRS, AIM, Paris, France
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, C-TRIC, Ulster University, Altnagelvin Hospital Campus, Glenshane Road, Derry/Londonderry, BT47 6SB UK
- Department of Biological Sciences, Molecular Medicine Research Center, University of Cyprus, 1 University Avenue, 2109 Nicosia, Cyprus
| | - Stephanie Duguez
- Myologie Centre de Recherche, Université Sorbonne, UMRS 974 UPMC, INSERM, FRE 3617 CNRS, AIM, Paris, France
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, C-TRIC, Ulster University, Altnagelvin Hospital Campus, Glenshane Road, Derry/Londonderry, BT47 6SB UK
| | - William Duddy
- Myologie Centre de Recherche, Université Sorbonne, UMRS 974 UPMC, INSERM, FRE 3617 CNRS, AIM, Paris, France
- Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute, C-TRIC, Ulster University, Altnagelvin Hospital Campus, Glenshane Road, Derry/Londonderry, BT47 6SB UK
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Abstract
We describe diagnosis, differential diagnosis, multimodality imaging and medical and invasive diagnostic treatment in patients with inflammatory cardiomyopathy and myocarditis under etiological considerations in reference to a landmark position paper of the Working Group Myocardial and Pericardial Diseases of the European Society of Cardiology together with recent developments in diagnosis and treatment. Diagnosis of the symptomatic patient is the assessment of etiology of inflammatory cardiomyopathy, followed by the clinical presentation, course, treatment option and prognosis. Viral myocarditis in its different facets can clearly be separated from autoreactive forms by histological and molecular methods in the endomyocardial biopsy, thus leading to an individualized targeted therapy beyond heart failure treatment.
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Affiliation(s)
- B Maisch
- Fachbereich Medizin, Philipps-Universität Marburg, privat: Feldbergstr. 45, 35043, Marburg, Deutschland.
- Herz- und Gefäßzentrum Marburg, Erlenring 19, 35037, Marburg, Deutschland.
| | | | - S Pankuweit
- Fachbereich Medizin, Philipps-Universität Marburg, privat: Feldbergstr. 45, 35043, Marburg, Deutschland
- UKGM GmbH Standort Marburg, Baldingerstr. 1, 35043, Marburg, Deutschland
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Verdonschot J, Hazebroek M, Merken J, Debing Y, Dennert R, Brunner-La Rocca HP, Heymans S. Relevance of cardiac parvovirus B19 in myocarditis and dilated cardiomyopathy: review of the literature. Eur J Heart Fail 2016; 18:1430-1441. [PMID: 27748022 DOI: 10.1002/ejhf.665] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 08/24/2016] [Accepted: 08/29/2016] [Indexed: 12/24/2022] Open
Abstract
Over the last decade, parvovirus B19 (B19V) has frequently been linked to the pathogenesis of myocarditis (MC) and its progression towards dilated cardiomyopathy (DCM). The exact role of the presence of B19V and its load remains controversial, as this virus is also found in the heart of healthy subjects. Moreover, the prognostic relevance of B19V prevalence in endomyocardial biopsies still remains unclear. As a result, it is unclear whether the presence of B19V should be treated. This review provides an overview of recent literature investigating the presence of B19V and its pathophysiological relevance in MC and DCM, as well as in normal hearts. In brief, no difference in B19V prevalence is observed between MC/DCM and healthy control hearts. Therefore, the question remains open whether and how cardiac B19V may be of pathogenetic importance. Findings suggest that B19V is aetiologically relevant either in the presence of other cardiotropic viruses, or when B19V load is high and/or actively replicating, which both may maintain myocardial (low-grade) inflammation. Therefore, future studies should focus on the prognostic relevance of the viral load, replicative status and virus co-infections. In addition, the immunogenetic background of MC/DCM patients that makes them susceptible to develop heart failure upon presence of B19V should be more thoroughly investigated.
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Affiliation(s)
- Job Verdonschot
- Department of Cardiology, CARIM, Maastricht University Medical Centre, the Netherlands
| | - Mark Hazebroek
- Department of Cardiology, CARIM, Maastricht University Medical Centre, the Netherlands
| | - Jort Merken
- Department of Cardiology, CARIM, Maastricht University Medical Centre, the Netherlands
| | - Yannick Debing
- Department of Cardiology, CARIM, Maastricht University Medical Centre, the Netherlands
| | - Robert Dennert
- Department of Cardiology, CARIM, Maastricht University Medical Centre, the Netherlands
| | | | - Stephane Heymans
- Department of Cardiology, CARIM, Maastricht University Medical Centre, the Netherlands
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Kim SH, Park JG, Hong YD, Kim E, Baik KS, Yoon DH, Kim S, Lee MN, Rho HS, Shin SS, Cho JY. Src/Syk/IRAK1-targeted anti-inflammatory action of Torreya nucifera butanol fraction in lipopolysaccharide-activated RAW264.7 cells. JOURNAL OF ETHNOPHARMACOLOGY 2016; 188:167-176. [PMID: 27178629 DOI: 10.1016/j.jep.2016.05.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Revised: 04/28/2016] [Accepted: 05/04/2016] [Indexed: 06/05/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Seed of Torreya nucifera (L.) Siebold & Zucc is used to treat several diseases in Asia. Reports document that T. nucifera has anti-cancer, anti-inflammatory, anti-oxidative activities. In spite of numerous findings on its pharmacological effects, the understanding of the molecular inhibitory mechanisms of the plant remains to be studied. Therefore, we aimed to explore in vitro anti-inflammatory mechanisms of ethyl acetate fraction (Tn-EE-BF) prepared from the seed of T. nucifera in LPS-stimulated macrophage inflammatory responses. MATERIALS AND METHODS For this purpose, we measured nitric oxide (NO) and prostaglandin E2 (PGE2) in LPS-stimulated macrophages. Additionally, using RT-PCR, luciferase reporter gene assay, immunoblotting analysis, and kinase assay, the levels of inflammatory genes, transcription factors, and inflammatory signal-regulatory proteins were investigated. Finally, the constituent of Tn-EE-BF was identified using HPLC. RESULTS Tn-EE-BF inhibits NO and PGE2 production and also blocks mRNA levels of inducible NO synthase (iNOS), tumor necrosis factor (TNF)-α, and cyclooxygenase (COX)-2 in a dose dependent manner. Tn-EE-BF reduces nuclear levels of the transcriptional factors NF-κB (p65) and AP-1 (c-Jun and FRA-1). Surprisingly, we found that Tn-EE-BF inhibits phosphorylation levels of Src and Syk in the NF-κB pathway, as well as, IRAK1 at the protein level, part of the AP-1 pathway. By kinase assay, we confirmed that Src, Syk, and IRAK1 are suppressed directly. HPLC analysis indicates that arctigenin, amentoflavone, and quercetin may be active components with anti-inflammatory activities. CONCLUSION Tn-EE-BF exhibits anti-inflammatory activities by direct inhibition of Src/Syk/NF-κB and IRAK1/AP-1.
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Affiliation(s)
- Shi Hyoung Kim
- Department of Genetic Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Jae Gwang Park
- Department of Genetic Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Yong Deog Hong
- Longevity Science Research Team, AmorePacific R&D Unit, Yongin 17074, Republic of Korea
| | - Eunji Kim
- Department of Genetic Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Kwang-Soo Baik
- Department of Genetic Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Deok Hyo Yoon
- Department of Biochemistry, Kangwon National University, Chuncheon 24341, Republic of Korea
| | - Sunggyu Kim
- Research and Business Foundation, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Mi-Nam Lee
- Department of Food and Nutrition, School of Foodservice Industry, Chungkang College of Cultural industries, Icheon 17390, Republic of Korea
| | - Ho Sik Rho
- Longevity Science Research Team, AmorePacific R&D Unit, Yongin 17074, Republic of Korea
| | - Song Seok Shin
- Longevity Science Research Team, AmorePacific R&D Unit, Yongin 17074, Republic of Korea.
| | - Jae Youl Cho
- Department of Genetic Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
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Omura S, Kawai E, Sato F, Martinez NE, Chaitanya GV, Rollyson PA, Cvek U, Trutschl M, Alexander JS, Tsunoda I. Bioinformatics multivariate analysis determined a set of phase-specific biomarker candidates in a novel mouse model for viral myocarditis. CIRCULATION. CARDIOVASCULAR GENETICS 2014; 7:444-54. [PMID: 25031303 PMCID: PMC4332820 DOI: 10.1161/circgenetics.114.000505] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Myocarditis is an inflammatory disease of the cardiac muscle and is mainly caused by viral infections. Viral myocarditis has been proposed to be divided into 3 phases: the acute viral phase, the subacute immune phase, and the chronic cardiac remodeling phase. Although individualized therapy should be applied depending on the phase, no clinical or experimental studies have found biomarkers that distinguish between the 3 phases. Theiler's murine encephalomyelitis virus belongs to the genus Cardiovirus and can cause myocarditis in susceptible mouse strains. METHODS AND RESULTS Using this novel model for viral myocarditis induced with Theiler's murine encephalomyelitis virus, we conducted multivariate analysis including echocardiography, serum troponin and viral RNA titration, and microarray to identify the biomarker candidates that can discriminate the 3 phases. Using C3H mice infected with Theiler's murine encephalomyelitis virus on 4, 7, and 60 days post infection, we conducted bioinformatics analyses, including principal component analysis and k-means clustering of microarray data, because our traditional cardiac and serum assays, including 2-way comparison of microarray data, did not lead to the identification of a single biomarker. Principal component analysis separated heart samples clearly between the groups of 4, 7, and 60 days post infection. Representative genes contributing to the separation were as follows: 4 and 7 days post infection, innate immunity-related genes, such as Irf7 and Cxcl9; 7 and 60 days post infection, acquired immunity-related genes, such as Cd3g and H2-Aa; and cardiac remodeling-related genes, such as Mmp12 and Gpnmb. CONCLUSIONS Sets of molecules, not single molecules, identified by unsupervised principal component analysis, were found to be useful as phase-specific biomarkers.
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Affiliation(s)
- Seiichi Omura
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - Eiichiro Kawai
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - Fumitaka Sato
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - Nicholas E Martinez
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - Ganta V Chaitanya
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - Phoebe A Rollyson
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - Urska Cvek
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - Marjan Trutschl
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - J Steven Alexander
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.)
| | - Ikuo Tsunoda
- From the Departments of Microbiology and Immunology (S.O., E.K., F.S., N.E.M., I.T.) and Molecular and Cellular Physiology (G.V.C., J.S.A.), Louisiana State University Health Sciences Center, Shreveport; and Department of Computer Science, Louisiana State University Shreveport (P.A.R., U.C., M.T.).
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10
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Faustino RS, Arrell DK, Folmes CDL, Terzic A, Perez-Terzic C. Stem cell systems informatics for advanced clinical biodiagnostics: tracing molecular signatures from bench to bedside. Croat Med J 2013. [PMID: 23986272 PMCID: PMC3760656 DOI: 10.3325//cmj.2013.54.319] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Development of innovative high throughput technologies has enabled a variety of molecular landscapes to be interrogated with an unprecedented degree of detail. Emergence of next generation nucleotide sequencing methods, advanced proteomic techniques, and metabolic profiling approaches continue to produce a wealth of biological data that captures molecular frameworks underlying phenotype. The advent of these novel technologies has significant translational applications, as investigators can now explore molecular underpinnings of developmental states with a high degree of resolution. Application of these leading-edge techniques to patient samples has been successfully used to unmask nuanced molecular details of disease vs healthy tissue, which may provide novel targets for palliative intervention. To enhance such approaches, concomitant development of algorithms to reprogram differentiated cells in order to recapitulate pluripotent capacity offers a distinct advantage to advancing diagnostic methodology. Bioinformatic deconvolution of several “-omic” layers extracted from reprogrammed patient cells, could, in principle, provide a means by which the evolution of individual pathology can be developmentally monitored. Significant logistic challenges face current implementation of this novel paradigm of patient treatment and care, however, several of these limitations have been successfully addressed through continuous development of cutting edge in silico archiving and processing methods. Comprehensive elucidation of genomic, transcriptomic, proteomic, and metabolomic networks that define normal and pathological states, in combination with reprogrammed patient cells are thus poised to become high value resources in modern diagnosis and prognosis of patient disease.
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Affiliation(s)
- Randolph S Faustino
- C. Perez-Terzic, Mayo Clinic, 200 First Street SW, Rochester, MN, USA 55905,
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11
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Faustino RS, Arrell DK, Folmes CD, Terzic A, Perez-Terzic C. Stem cell systems informatics for advanced clinical biodiagnostics: tracing molecular signatures from bench to bedside. Croat Med J 2013; 54:319-29. [PMID: 23986272 PMCID: PMC3760656 DOI: 10.3325/cmj.2013.54.319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023] Open
Abstract
Development of innovative high throughput technologies has enabled a variety of molecular landscapes to be interrogated with an unprecedented degree of detail. Emergence of next generation nucleotide sequencing methods, advanced proteomic techniques, and metabolic profiling approaches continue to produce a wealth of biological data that captures molecular frameworks underlying phenotype. The advent of these novel technologies has significant translational applications, as investigators can now explore molecular underpinnings of developmental states with a high degree of resolution. Application of these leading-edge techniques to patient samples has been successfully used to unmask nuanced molecular details of disease vs healthy tissue, which may provide novel targets for palliative intervention. To enhance such approaches, concomitant development of algorithms to reprogram differentiated cells in order to recapitulate pluripotent capacity offers a distinct advantage to advancing diagnostic methodology. Bioinformatic deconvolution of several "-omic" layers extracted from reprogrammed patient cells, could, in principle, provide a means by which the evolution of individual pathology can be developmentally monitored. Significant logistic challenges face current implementation of this novel paradigm of patient treatment and care, however, several of these limitations have been successfully addressed through continuous development of cutting edge in silico archiving and processing methods. Comprehensive elucidation of genomic, transcriptomic, proteomic, and metabolomic networks that define normal and pathological states, in combination with reprogrammed patient cells are thus poised to become high value resources in modern diagnosis and prognosis of patient disease.
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Affiliation(s)
- Randolph S. Faustino
- Division of Cardiovascular Diseases, Departments of Medicine, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - D. Kent Arrell
- Division of Cardiovascular Diseases, Departments of Medicine, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Clifford D.L. Folmes
- Division of Cardiovascular Diseases, Departments of Medicine, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Andre Terzic
- Division of Cardiovascular Diseases, Departments of Medicine, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Carmen Perez-Terzic
- Division of Cardiovascular Diseases, Departments of Medicine, Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA,Physical Medicine and Rehabilitation, Mayo Clinic College of Medicine, Rochester, MN, USA
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12
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Nothing new in heart failure? A current misconception! Herz 2012. [PMID: 23179054 DOI: 10.1007/s00059-012-3721-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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