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Ganekal P, Vastrad B, Vastrad C, Kotrashetti S. Identification of biomarkers, pathways, and potential therapeutic targets for heart failure using next-generation sequencing data and bioinformatics analysis. Ther Adv Cardiovasc Dis 2023; 17:17539447231168471. [PMID: 37092838 PMCID: PMC10134165 DOI: 10.1177/17539447231168471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2023] Open
Abstract
BACKGROUND Heart failure (HF) is the most common cardiovascular diseases and the leading cause of cardiovascular diseases related deaths. Increasing molecular targets have been discovered for HF prognosis and therapy. However, there is still an urgent need to identify novel biomarkers. Therefore, we evaluated biomarkers that might aid the diagnosis and treatment of HF. METHODS We searched next-generation sequencing (NGS) dataset (GSE161472) and identified differentially expressed genes (DEGs) by comparing 47 HF samples and 37 normal control samples using limma in R package. Gene ontology (GO) and pathway enrichment analyses of the DEGs were performed using the g: Profiler database. The protein-protein interaction (PPI) network was plotted with Human Integrated Protein-Protein Interaction rEference (HiPPIE) and visualized using Cytoscape. Module analysis of the PPI network was done using PEWCC1. Then, miRNA-hub gene regulatory network and TF-hub gene regulatory network were constructed by Cytoscape software. Finally, we performed receiver operating characteristic (ROC) curve analysis to predict the diagnostic effectiveness of the hub genes. RESULTS A total of 930 DEGs, 464 upregulated genes and 466 downregulated genes, were identified in HF. GO and REACTOME pathway enrichment results showed that DEGs mainly enriched in localization, small molecule metabolic process, SARS-CoV infections, and the citric acid tricarboxylic acid (TCA) cycle and respiratory electron transport. After combining the results of the PPI network miRNA-hub gene regulatory network and TF-hub gene regulatory network, 10 hub genes were selected, including heat shock protein 90 alpha family class A member 1 (HSP90AA1), arrestin beta 2 (ARRB2), myosin heavy chain 9 (MYH9), heat shock protein 90 alpha family class B member 1 (HSP90AB1), filamin A (FLNA), epidermal growth factor receptor (EGFR), phosphoinositide-3-kinase regulatory subunit 1 (PIK3R1), cullin 4A (CUL4A), YEATS domain containing 4 (YEATS4), and lysine acetyltransferase 2B (KAT2B). CONCLUSIONS This discovery-driven study might be useful to provide a novel insight into the diagnosis and treatment of HF. However, more experiments are needed in the future to investigate the functional roles of these genes in HF.
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Affiliation(s)
- Prashanth Ganekal
- Department of General Medicine, Basaveshwara Medical College, Chitradurga, India
| | - Basavaraj Vastrad
- Department of Pharmaceutical Chemistry, K.L.E. College of Pharmacy, Gadag, India
| | - Chanabasayya Vastrad
- Biostatistics and Bioinformatics, Chanabasava Nilaya, #253, Bharthinagar, Dharwad 580001, India
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McDermott JH, Wright S, Sharma V, Newman WG, Payne K, Wilson P. Characterizing pharmacogenetic programs using the consolidated framework for implementation research: A structured scoping review. Front Med (Lausanne) 2022; 9:945352. [PMID: 36059837 PMCID: PMC9433561 DOI: 10.3389/fmed.2022.945352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 07/29/2022] [Indexed: 12/11/2022] Open
Abstract
Several healthcare organizations have developed pre-emptive pharmacogenetic testing programs, where testing is undertaken prior to the prescription of a medicine. This review characterizes the barriers and facilitators which influenced the development of these programs. A bidirectional citation searching strategy identified relevant publications before a standardized data extraction approach was applied. Publications were grouped by program and data synthesis was undertaken using the Consolidated Framework for Implementation Research (CFIR). 104 publications were identified from 40 programs and 4 multi-center initiatives. 26 (66%) of the programs were based in the United States and 95% in high-income countries. The programs were heterogeneous in their design and scale. The Characteristics of the Intervention, Inner Setting, and Process domains were referenced by 92.5, 80, and 77.5% of programs, respectively. A positive institutional culture, leadership engagement, engaging stakeholders, and the use of clinical champions were frequently described as facilitators to implementation. Clinician self-efficacy, lack of stakeholder knowledge, and the cost of the intervention were commonly cited barriers. Despite variation between the programs, there were several similarities in approach which could be categorized via the CFIR. These form a resource for organizations planning the development of pharmacogenetic programs, highlighting key facilitators which can be leveraged to promote successful implementation.
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Affiliation(s)
- John H. McDermott
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
- *Correspondence: John H. McDermott,
| | - Stuart Wright
- Division of Population Health, Manchester Centre for Health Economics, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Videha Sharma
- Division of Informatics, Centre for Health Informatics, Imaging and Data Science, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - William G. Newman
- Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom
- Division of Evolution, Infection and Genomics, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom
| | - Katherine Payne
- Division of Population Health, Manchester Centre for Health Economics, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Paul Wilson
- Division of Population Health, Centre for Primary Care and Health Services Research, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
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Eadon MT, Cavanaugh KL, Orlando LA, Christian D, Chakraborty H, Steen-Burrell KA, Merrill P, Seo J, Hauser D, Singh R, Beasley CM, Fuloria J, Kitzman H, Parker AS, Ramos M, Ong HH, Elwood EN, Lynch SE, Clermont S, Cicali EJ, Starostik P, Pratt VM, Nguyen KA, Rosenman MB, Calman NS, Robinson M, Nadkarni GN, Madden EB, Kucher N, Volpi S, Dexter PR, Skaar TC, Johnson JA, Cooper-DeHoff RM, Horowitz CR. Design and rationale of GUARDD-US: A pragmatic, randomized trial of genetic testing for APOL1 and pharmacogenomic predictors of antihypertensive efficacy in patients with hypertension. Contemp Clin Trials 2022; 119:106813. [PMID: 35660539 PMCID: PMC9928488 DOI: 10.1016/j.cct.2022.106813] [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: 02/16/2022] [Revised: 05/25/2022] [Accepted: 05/30/2022] [Indexed: 11/28/2022]
Abstract
RATIONALE AND OBJECTIVE APOL1 risk alleles are associated with increased cardiovascular and chronic kidney disease (CKD) risk. It is unknown whether knowledge of APOL1 risk status motivates patients and providers to attain recommended blood pressure (BP) targets to reduce cardiovascular disease. STUDY DESIGN Multicenter, pragmatic, randomized controlled clinical trial. SETTING AND PARTICIPANTS 6650 individuals with African ancestry and hypertension from 13 health systems. INTERVENTION APOL1 genotyping with clinical decision support (CDS) results are returned to participants and providers immediately (intervention) or at 6 months (control). A subset of participants are re-randomized to pharmacogenomic testing for relevant antihypertensive medications (pharmacogenomic sub-study). CDS alerts encourage appropriate CKD screening and antihypertensive agent use. OUTCOMES Blood pressure and surveys are assessed at baseline, 3 and 6 months. The primary outcome is change in systolic BP from enrollment to 3 months in individuals with two APOL1 risk alleles. Secondary outcomes include new diagnoses of CKD, systolic blood pressure at 6 months, diastolic BP, and survey results. The pharmacogenomic sub-study will evaluate the relationship of pharmacogenomic genotype and change in systolic BP between baseline and 3 months. RESULTS To date, the trial has enrolled 3423 participants. CONCLUSIONS The effect of patient and provider knowledge of APOL1 genotype on systolic blood pressure has not been well-studied. GUARDD-US addresses whether blood pressure improves when patients and providers have this information. GUARDD-US provides a CDS framework for primary care and specialty clinics to incorporate APOL1 genetic risk and pharmacogenomic prescribing in the electronic health record. TRIAL REGISTRATION ClinicalTrials.govNCT04191824.
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Affiliation(s)
- Michael T Eadon
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | | | - Lori A Orlando
- Duke University School of Medicine, Durham, NC 27720, USA
| | - David Christian
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hrishikesh Chakraborty
- Duke University School of Medicine, Durham, NC 27720, USA; Duke Clinical Research Institute, Durham, NC 27720, USA
| | | | - Peter Merrill
- Duke Clinical Research Institute, Durham, NC 27720, USA
| | - Janet Seo
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Diane Hauser
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Institute for Family Health, New York, NY 10029, USA
| | - Rajbir Singh
- Meharry Medical College, Nashville, TN 37208, USA
| | - Cherry Maynor Beasley
- McKenzie-Elliott School of Nursing, University of North Carolina at Pembroke, Pembroke, NC 28372, USA
| | - Jyotsna Fuloria
- Office of Research, University Medical Center New Orleans, New Orleans, LA 70112, USA
| | - Heather Kitzman
- Baylor Scott & White Health, Baylor University, Robbins Institute for Health Policy & Leadership, Dallas, TX 75246, USA
| | - Alexander S Parker
- University of Florida College of Medicine - Jacksonville, Jacksonville, FL 32209, USA
| | - Michelle Ramos
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Henry H Ong
- Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Erica N Elwood
- University of Florida, College of Pharmacy, Gainesville, FL 32610, USA
| | - Sheryl E Lynch
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sabrina Clermont
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Emily J Cicali
- University of Florida, College of Pharmacy, Gainesville, FL 32610, USA
| | - Petr Starostik
- University of Florida, College of Medicine, Gainesville, FL 32610, USA
| | - Victoria M Pratt
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Khoa A Nguyen
- University of Florida, College of Pharmacy, Gainesville, FL 32610, USA
| | - Marc B Rosenman
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Neil S Calman
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Institute for Family Health, New York, NY 10029, USA
| | | | - Girish N Nadkarni
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ebony B Madden
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Natalie Kucher
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Simona Volpi
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Paul R Dexter
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Julie A Johnson
- University of Florida, College of Pharmacy, Gainesville, FL 32610, USA
| | | | - Carol R Horowitz
- Institute for Health Equity Research, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
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