1
|
Zhang H, Ruan WJ, Chou SP, Saha TD, Fan AZ, Huang B, White AM. Exploring patterns of alcohol use and alcohol use disorder among Asian Americans with a finer lens. Drug Alcohol Depend 2024; 257:111120. [PMID: 38402754 DOI: 10.1016/j.drugalcdep.2024.111120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 01/24/2024] [Accepted: 01/30/2024] [Indexed: 02/27/2024]
Abstract
BACKGROUND National survey data suggest Asian Americans (AA) are less likely to consume alcohol and develop AUD than Americans in other groups. However, it is common for AA to be born outside of the US and carry gene variants that alter alcohol metabolism, both of which can lead to lower levels of alcohol involvement. The current study examined differences in alcohol use and AUD between AA and other groups before and after controlling for birth location and gene variants. DESIGN Past year alcohol measures were examined from adults 18+ (N=22,848) in the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions III before and after controlling for birth location (inside or outside of the US) and gene variants (ALDH2*2 and ADH1B*2/ADH1B*3). Gender gaps in alcohol measures also were assessed. RESULTS Before adjustments, AA were less likely than White Americans to drink in the previous year (OR=0.50, 95% CI 0.41-0.62), binge (OR=0.68, 95% CI 0.52-0.88), engage in frequent heavy drinking (OR=0.55, 95% CI 0.42-0.73), and reach criteria for AUD (OR=0.71, 95% CI 0.53-0.94). After controlling for birth location and gene variants, AA remained less likely to drink in the past year (OR=0.54, 95% CI 0.41-0.70) but all other differences disappeared. Gender gaps were only observed for AA born outside of the US, highlighting the importance of experience rather than racial category per se. CONCLUSIONS Findings indicate that heterogeneity among AA leads to spurious generalizations regarding alcohol use and AUD and challenge the model minority myth.
Collapse
Affiliation(s)
- Haitao Zhang
- Epidemiology and Biometry Branch, Division of Epidemiology and Prevention Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, USA
| | - W June Ruan
- Epidemiology and Biometry Branch, Division of Epidemiology and Prevention Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, USA
| | - S Patricia Chou
- Epidemiology and Biometry Branch, Division of Epidemiology and Prevention Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, USA
| | - Tulshi D Saha
- Epidemiology and Biometry Branch, Division of Epidemiology and Prevention Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, USA
| | - Amy Z Fan
- Epidemiology and Biometry Branch, Division of Epidemiology and Prevention Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, USA
| | - Boji Huang
- Epidemiology and Biometry Branch, Division of Epidemiology and Prevention Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, USA
| | - Aaron M White
- Epidemiology and Biometry Branch, Division of Epidemiology and Prevention Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, USA.
| |
Collapse
|
2
|
Yao S, Li W, Liu S, Cai Y, Zhang Q, Tang L, Yu S, Jing Y, Yin X, Cheng H. Aldehyde dehydrogenase 2 polymorphism is associated with chemotherapy-related cognitive impairment in patients with breast cancer who receive chemotherapy. Cancer Med 2023; 12:5209-5221. [PMID: 36200595 PMCID: PMC10028021 DOI: 10.1002/cam4.5319] [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: 06/22/2022] [Revised: 09/07/2022] [Accepted: 09/21/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Chemotherapy-related cognitive impairment (CRCI) is a common but easily overlooked condition that markedly affects the quality of life (QOL) of patients with breast cancer. The rs671 is a common gene polymorphism of aldehyde dehydrogenase 2 (ALDH2) in Asia that is involved in aldehyde metabolism and may be closely related to CRCI. However, no study has yet summarised the association between ALDH2 and CRCI. METHODS This study enrolled one hundred and twenty-four patients diagnosed with breast cancer according to the pathology results, genotyped for ALDH2 single-nucleotide polymorphisms (SNP) to explore these. The mini-mental state exam (MMSE), verbal fluency test (VFT), and digit span test (DST) results were compared in these patients before and after chemotherapy (CT). RESULTS We found that patients with ALDH2 gene genotypes of rs671_GG, rs886205_GG, rs4648328_CC, and rs4767944_TT polymorphisms were more likely to suffer from cognitive impairment during chemotherapy. A trend toward statistical significance was observed for rs671_GG of DST (z = 2.769, p = 0.006), VFT (t = 4.624, P<0.001); rs886205_GG of DST (z = 3.663, P<0.001); rs4648328_CC of DST (z = 2.850, p = 0.004), VFT (t = 3.477, p = 0.001); and rs4767944_TT of DST (z = 2.967, p = 0.003), VFT (t = 2.776, p = 0.008). The cognitive indicators of these patients significantly decreased after chemotherapy (p < 0.05). The difference in ALDH2 rs671 was most obvious. CONCLUSION Our results showed what kinds of ALDH2 genotyped patients that are more likely to develop CRCI. In the future, it may be possible to infer the risk of CRCI by detecting the single-nucleotide locus of ALDH2 that is conducive to strengthening clinical interventions for these patients and improving their QOL. More importantly, this study has important implications for Asian women with breast cancer as ALDH2 rs671 is a common polymorphism in Asians.
Collapse
Affiliation(s)
- Senbang Yao
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Wen Li
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Shaochun Liu
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Yinlian Cai
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Qianqian Zhang
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Lingxue Tang
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Sheng Yu
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Yanyan Jing
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Xiangxiang Yin
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| | - Huaidong Cheng
- Department of Oncology, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, Anhui, China
- Cancer and Cognition Laboratory, Anhui Medical University, Hefei, Anhui, China
| |
Collapse
|
3
|
Jung M, Ahn YS, Chang SJ, Kim CB, Jeong KS, Koh SB, Gim JA. Variation in Genotype and DNA Methylation Patterns Based on Alcohol Use and CVD in the Korean Genome and Epidemiology Study (KoGES). Genes (Basel) 2022; 13:genes13020172. [PMID: 35205218 PMCID: PMC8871634 DOI: 10.3390/genes13020172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 01/09/2022] [Accepted: 01/14/2022] [Indexed: 12/14/2022] Open
Abstract
Alcohol consumption can increase the risk of chronic diseases, such as myocardial infarction, coronary artery disease, hyperlipidemia, and hypertension. We aimed to assess the association between genotype, DNA methylation patterns, alcohol consumption, and chronic diseases in Korean population. We analyzed 8840 subjects for genotypes and 446 for DNA methylation among the 9351 subjects from the Korean Genome and Epidemiology Study (KoGES). We further divided both groups into two sub-groups according to the presence/absence of chronic diseases. We selected genes whose methylation varied significantly with alcohol consumption, and visualized genotype and DNA methylation patterns specific to each group. Genome-wide association study (GWAS) revealed single nucleotide polymorphisms (SNPs) rs2074356 and rs11066280 in HECT domain E3 ubiquitin protein ligase 4 (HECTD4) to be significantly associated with alcohol consumption in both the presence. The rs12229654 genotype also displayed significantly different patterns with alcohol consumption. Furthermore, we retrieved differentially methylated regions (DMRs) from four groups based on sex and chronic diseases and compared them by drinking status. In genotype analysis, cardiovascular diseases (CVDs) showed a higher proportion in drinker than in non-drinker, but not in DMR analysis. Additionally, we analyzed the enriched Gene Ontology terms and Kyoto Gene and Genome Encyclopedia (KEGG) pathways and visualized the network, heatmap, and upset plot. We show that the pattern of DNA methylation associated with CVD is strongly influenced by alcoholism. Overall, this study identified genetic and epigenetic variants influenced by alcohol consumption and chronic diseases.
Collapse
Affiliation(s)
- Myoungjee Jung
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju 26426, Korea; (M.J.); (S.-J.C.); (C.-B.K.)
| | - Yeon-Soon Ahn
- Department of Preventive Medicine and Genomic Cohort Institute, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju 26426, Korea;
| | - Sei-Jin Chang
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju 26426, Korea; (M.J.); (S.-J.C.); (C.-B.K.)
| | - Chun-Bae Kim
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju 26426, Korea; (M.J.); (S.-J.C.); (C.-B.K.)
| | - Kyoung Sook Jeong
- Department of Occupational and Environmental Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju 26426, Korea;
| | - Sang-Baek Koh
- Department of Preventive Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju 26426, Korea; (M.J.); (S.-J.C.); (C.-B.K.)
- Institute of Genomic Cohort, Yonsei University Wonju College of Medicine, 20 Ilsan-ro, Wonju 26426, Korea
- Correspondence: (S.-B.K.); (J.-A.G.); Tel.: +82-33-741-0345 (S.-B.K.); +82-2-2626-2362 (J.-A.G.)
| | - Jeong-An Gim
- Medical Science Research Center, College of Medicine, Korea University, 8 Gamasan-ro 20-gil, Guro-gu, Seoul 08308, Korea
- Correspondence: (S.-B.K.); (J.-A.G.); Tel.: +82-33-741-0345 (S.-B.K.); +82-2-2626-2362 (J.-A.G.)
| |
Collapse
|