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Andersen A, Milefchik E, Papworth E, Penaluna B, Dawes K, Moody J, Weeks G, Froehlich E, deBlois K, Long JD, Philibert R. ZSCAN25 methylation predicts seizures and severe alcohol withdrawal syndrome. Epigenetics 2024; 19:2298057. [PMID: 38166538 PMCID: PMC10766392 DOI: 10.1080/15592294.2023.2298057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 12/11/2023] [Indexed: 01/04/2024] Open
Abstract
Currently, clinicians use their judgement and indices such as the Prediction of Alcohol Withdrawal Syndrome Scale (PAWSS) to determine whether patients are admitted to hospitals for consideration of withdrawal syndrome (AWS). However, only a fraction of those admitted will experience severe AWS. Previously, we and others have shown that epigenetic indices, such as the Alcohol T-Score (ATS), can quantify recent alcohol consumption. However, whether these or other alcohol biomarkers, such as carbohydrate deficient transferrin (CDT), could identify those at risk for severe AWS is unknown. To determine this, we first conducted genome-wide DNA methylation analyses of subjects entering and exiting alcohol treatment to identify loci whose methylation quickly reverted as a function of abstinence. We then tested whether methylation at a rapidly reverting locus, cg07375256, or other existing metrics including PAWSS scores, CDT levels, or ATS, could predict outcome in 125 subjects admitted for consideration of AWS. We found that PAWSS did not significantly predict severe AWS nor seizures. However, methylation at cg07375256 (ZSCAN25) and CDT strongly predicted severe AWS with ATS (p < 0.007) and cg07375256 (p < 6 × 10-5) methylation also predicting AWS associated seizures. We conclude that epigenetic methods can predict those likely to experience severe AWS and that the use of these or similar Precision Epigenetic approaches could better guide AWS management.
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Affiliation(s)
- Allan Andersen
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Emily Milefchik
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Emma Papworth
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Brandan Penaluna
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Kelsey Dawes
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Behavioral Diagnostics LLC, Coralville, IA, USA
| | - Joanna Moody
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Gracie Weeks
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Ellyse Froehlich
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Kaitlyn deBlois
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Jeffrey D Long
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Biostatistics, University of Iowa, Iowa City, IA, USA
| | - Robert Philibert
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Behavioral Diagnostics LLC, Coralville, IA, USA
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
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Gladwell LR, Ahiarah C, Rasheed S, Rahman SM, Choudhury M. Traditional Therapeutics and Potential Epidrugs for CVD: Why Not Both? Life (Basel) 2023; 14:23. [PMID: 38255639 PMCID: PMC10820772 DOI: 10.3390/life14010023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/07/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death worldwide. In addition to the high mortality rate, people suffering from CVD often endure difficulties with physical activities and productivity that significantly affect their quality of life. The high prevalence of debilitating risk factors such as obesity, type 2 diabetes mellitus, smoking, hypertension, and hyperlipidemia only predicts a bleak future. Current traditional CVD interventions offer temporary respite; however, they compound the severe economic strain of health-related expenditures. Furthermore, these therapeutics can be prescribed indefinitely. Recent advances in the field of epigenetics have generated new treatment options by confronting CVD at an epigenetic level. This involves modulating gene expression by altering the organization of our genome rather than altering the DNA sequence itself. Epigenetic changes are heritable, reversible, and influenced by environmental factors such as medications. As CVD is physiologically and pathologically diverse in nature, epigenetic interventions can offer a ray of hope to replace or be combined with traditional therapeutics to provide the prospect of addressing more than just the symptoms of CVD. This review discusses various risk factors contributing to CVD, perspectives of current traditional medications in practice, and a focus on potential epigenetic therapeutics to be used as alternatives.
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Affiliation(s)
- Lauren Rae Gladwell
- Department of Pharmaceutical Sciences, Texas A&M Irma Lerma Rangel College of Pharmacy, 1114 TAMU, College Station, TX 77843, USA
| | - Chidinma Ahiarah
- Department of Pharmaceutical Sciences, Texas A&M Irma Lerma Rangel College of Pharmacy, 1114 TAMU, College Station, TX 77843, USA
| | - Shireen Rasheed
- Department of Pharmaceutical Sciences, Texas A&M Irma Lerma Rangel College of Pharmacy, 1114 TAMU, College Station, TX 77843, USA
| | - Shaikh Mizanoor Rahman
- Natural and Medical Sciences Research Center, University of Nizwa, Birkat Al-Mouz, Nizwa 616, Oman
| | - Mahua Choudhury
- Department of Pharmaceutical Sciences, Texas A&M Irma Lerma Rangel College of Pharmacy, 1114 TAMU, College Station, TX 77843, USA
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Pollock JD, Wanke K, Compton WM. Advancing Biomarkers for Treatment of Smoking and Nicotine Dependence: An Overview. ADDICTION NEUROSCIENCE 2023; 8:100117. [PMID: 37577177 PMCID: PMC10421606 DOI: 10.1016/j.addicn.2023.100117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
The special issue on Biomarkers of Nicotine and Tobacco Dependence reviews the science for precision treatment of nicotine dependence and future opportunities for research on biomarkers for inclusion in tobacco product cessation and switching clinical trials to advance translation. This overview summarizes the articles contributed to the special issue by leading researcher in field of addiction.
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Affiliation(s)
- Jonathan D. Pollock
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland
| | - Kay Wanke
- NIH Office of Disease Prevention, National Institutes of Health, Bethesda, Maryland
| | - Wilson M. Compton
- National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland
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Philibert R, Dogan TK, Knight S, Ahmad F, Lau S, Miles G, Knowlton KU, Dogan MV. Validation of an Integrated Genetic-Epigenetic Test for the Assessment of Coronary Heart Disease. J Am Heart Assoc 2023; 12:e030934. [PMID: 37982274 PMCID: PMC10727271 DOI: 10.1161/jaha.123.030934] [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] [Received: 05/10/2023] [Accepted: 10/16/2023] [Indexed: 11/21/2023]
Abstract
BACKGROUND Coronary heart disease (CHD) is the leading cause of death in the world. Unfortunately, many of the key diagnostic tools for CHD are insensitive, invasive, and costly; require significant specialized infrastructure investments; and do not provide information to guide postdiagnosis therapy. In prior work using data from the Framingham Heart Study, we provided in silico evidence that integrated genetic-epigenetic tools may provide a new avenue for assessing CHD. METHODS AND RESULTS In this communication, we use an improved machine learning approach and data from 2 additional cohorts, totaling 449 cases and 2067 controls, to develop a better model for ascertaining symptomatic CHD. Using the DNA from the 2 new cohorts, we translate and validate the in silico findings into an artificial intelligence-guided, clinically implementable method that uses input from 6 methylation-sensitive digital polymerase chain reaction and 10 genotyping assays. Using this method, the overall average area under the curve, sensitivity, and specificity in the 3 test cohorts is 82%, 79%, and 76%, respectively. Analysis of targeted cytosine-phospho-guanine loci shows that they map to key risk pathways involved in atherosclerosis that suggest specific therapeutic approaches. CONCLUSIONS We conclude that this scalable integrated genetic-epigenetic approach is useful for the diagnosis of symptomatic CHD, performs favorably as compared with many existing methods, and may provide personalized insight to CHD therapy. Furthermore, given the dynamic nature of DNA methylation and the ease of methylation-sensitive digital polymerase chain reaction methodologies, these findings may pave a pathway for precision epigenetic approaches for monitoring CHD treatment response.
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Affiliation(s)
- Robert Philibert
- Cardio Diagnostics IncChicagoILUSA
- Department of PsychiatryUniversity of IowaIowa CityIAUSA
- Department of Biomedical EngineeringUniversity of IowaIowa CityIAUSA
| | | | - Stacey Knight
- Intermountain Heart Institute, Intermountain HealthcareSalt Lake CityUTUSA
- Department of Internal MedicineUniversity of UtahSalt Lake CityUTUSA
| | - Ferhaan Ahmad
- Division of Cardiovascular Medicine, Department of Internal MedicineUniversity of IowaIowa CityIAUSA
| | - Stanley Lau
- Southern California Heart CentersSan GabrielCAUSA
| | - George Miles
- Department of Molecular and Human GeneticsBaylor College of MedicineHoustonTXUSA
| | - Kirk U. Knowlton
- Intermountain Heart Institute, Intermountain HealthcareSalt Lake CityUTUSA
| | - Meeshanthini V. Dogan
- Cardio Diagnostics IncChicagoILUSA
- Department of Biomedical EngineeringUniversity of IowaIowa CityIAUSA
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Philibert R, Moody J, Philibert W, Dogan MV, Hoffman EA. The Reversion of the Epigenetic Signature of Coronary Heart Disease in Response to Smoking Cessation. Genes (Basel) 2023; 14:1233. [PMID: 37372412 PMCID: PMC10297911 DOI: 10.3390/genes14061233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023] Open
Abstract
Coronary heart disease (CHD) is the leading cause of death worldwide. However, current diagnostic tools for CHD, such as coronary computed tomography angiography (CCTA), are poorly suited for monitoring treatment response. Recently, we have introduced an artificial-intelligence-guided integrated genetic-epigenetic test for CHD whose core consists of six assays that determine methylation in pathways known to moderate the pathogenesis of CHD. However, whether methylation at these six loci is sufficiently dynamic to guide CHD treatment response is unknown. To test that hypothesis, we examined the relationship of changes in these six loci to changes in cg05575921, a generally accepted marker of smoking intensity, using DNA from a cohort of 39 subjects undergoing a 90-day smoking cessation intervention and methylation-sensitive digital PCR (MSdPCR). We found that changes in epigenetic smoking intensity were significantly associated with reversion of the CHD-associated methylation signature at five of the six MSdPCR predictor sites: cg03725309, cg12586707, cg04988978, cg17901584, and cg21161138. We conclude that methylation-based approaches could be a scalable method for assessing the clinical effectiveness of CHD interventions, and that further studies to understand the responsiveness of these epigenetic measures to other forms of CHD treatment are in order.
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Affiliation(s)
- Robert Philibert
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA; (J.M.); (W.P.)
- Cardio Diagnostics Inc., Chicago, IL 60642, USA;
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA;
| | - Joanna Moody
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA; (J.M.); (W.P.)
| | - Willem Philibert
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA; (J.M.); (W.P.)
| | - Meeshanthini V. Dogan
- Cardio Diagnostics Inc., Chicago, IL 60642, USA;
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA;
| | - Eric A. Hoffman
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA;
- Department of Radiology, University of Iowa, Iowa City, IA 52242, USA
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