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Kang J, Deng YT, Wu BS, Liu WS, Li ZY, Xiang S, Yang L, You J, Gong X, Jia T, Yu JT, Cheng W, Feng J. Whole exome sequencing analysis identifies genes for alcohol consumption. Nat Commun 2024; 15:5777. [PMID: 38982111 PMCID: PMC11233704 DOI: 10.1038/s41467-024-50132-3] [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: 05/15/2023] [Accepted: 06/26/2024] [Indexed: 07/11/2024] Open
Abstract
Alcohol consumption is a heritable behavior seriously endangers human health. However, genetic studies on alcohol consumption primarily focuses on common variants, while insights from rare coding variants are lacking. Here we leverage whole exome sequencing data across 304,119 white British individuals from UK Biobank to identify protein-coding variants associated with alcohol consumption. Twenty-five variants are associated with alcohol consumption through single variant analysis and thirteen genes through gene-based analysis, ten of which have not been reported previously. Notably, the two unreported alcohol consumption-related genes GIGYF1 and ANKRD12 show enrichment in brain function-related pathways including glial cell differentiation and are strongly expressed in the cerebellum. Phenome-wide association analyses reveal that alcohol consumption-related genes are associated with brain white matter integrity and risk of digestive and neuropsychiatric diseases. In summary, this study enhances the comprehension of the genetic architecture of alcohol consumption and implies biological mechanisms underlying alcohol-related adverse outcomes.
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Affiliation(s)
- Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
| | - Yue-Ting Deng
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China
| | - Wei-Shi Liu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China
| | - Ze-Yu Li
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
| | - Shitong Xiang
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China
| | - Jia You
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
| | - Xiaohong Gong
- School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Tianye Jia
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- School of Psychology, University of Southampton, Southampton, UK
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China.
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China.
- Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200433, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, Shanghai, 200433, China.
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, 200433, China.
- Fudan ISTBI-ZJNU Algorithm Centre for Brain-inspired Intelligence, Zhejiang Normal University, Zhejiang, China.
- Department of Computer Science, University of Warwick, Coventry, CV4 7AL, UK.
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Zeng L, Ma P, Li Z, Liang S, Wu C, Hong C, Li Y, Cui H, Li R, Wang J, He J, Li W, Xiao L, Liu L. Multimodal Machine Learning-Based Marker Enables Early Detection and Prognosis Prediction for Hyperuricemia. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2404047. [PMID: 38976552 DOI: 10.1002/advs.202404047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 06/19/2024] [Indexed: 07/10/2024]
Abstract
Hyperuricemia (HUA) has emerged as the second most prevalent metabolic disorder characterized by prolonged and asymptomatic period, triggering gout and metabolism-related outcomes. Early detection and prognosis prediction for HUA and gout are crucial for pre-emptive interventions. Integrating genetic and clinical data from 421287 UK Biobank and 8900 Nanfang Hospital participants, a stacked multimodal machine learning model is developed and validated to synthesize its probabilities as an in-silico quantitative marker for hyperuricemia (ISHUA). The model demonstrates satisfactory performance in detecting HUA, exhibiting area under the curves (AUCs) of 0.859, 0.836, and 0.779 within the train, internal, and external test sets, respectively. ISHUA is significantly associated with gout and metabolism-related outcomes, effectively classifying individuals into low- and high-risk groups for gout in the train (AUC, 0.815) and internal test (AUC, 0.814) sets. The high-risk group shows increased susceptibility to metabolism-related outcomes, and participants with intermediate or favorable lifestyle profiles have hazard ratios of 0.75 and 0.53 for gout compared with those with unfavorable lifestyles. Similar trends are observed for other metabolism-related outcomes. The multimodal machine learning-based ISHUA marker enables personalized risk stratification for gout and metabolism-related outcomes, and it is unveiled that lifestyle changes can ameliorate these outcomes within high-risk group, providing guidance for preventive interventions.
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Affiliation(s)
- Lin Zeng
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Pengcheng Ma
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
- School of Health Management, Southern Medical University, Guangzhou, 510515, China
- Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Zeyang Li
- School of Health Management, Southern Medical University, Guangzhou, 510515, China
- Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Shengxing Liang
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
- Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Chengkai Wu
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
- School of Health Management, Southern Medical University, Guangzhou, 510515, China
| | - Chang Hong
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Yan Li
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Hao Cui
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Ruining Li
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Jiaren Wang
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Jingzhe He
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Wenyuan Li
- Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Lushan Xiao
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Li Liu
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
- Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
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Kawatoko K, Washio Y, Ohara T, Fukuyama S, Honda T, Hata J, Nakazawa T, Kan-o K, Inoue H, Matsumoto K, Nakao T, Kitazono T, Okamoto I, Ninomiya T. Risks of Dementia in a General Japanese Older Population With Preserved Ratio Impaired Spirometry: The Hisayama Study. J Epidemiol 2024; 34:331-339. [PMID: 38044087 PMCID: PMC11167264 DOI: 10.2188/jea.je20230207] [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: 07/28/2023] [Accepted: 11/05/2023] [Indexed: 12/05/2023] Open
Abstract
BACKGROUND Studies on the association between preserved ratio impaired spirometry (PRISm) and dementia are limited. Indeed, PRISm has often been overlooked or ignored as an index of lung function impairment. Therefore, we investigated the association of PRISm with the risk for the development of dementia in an older Japanese population. METHODS A total of 1,202 community-dwelling, older Japanese participants aged ≥65 years without dementia were followed up for a median of 5.0 years. Participants were categorized by spirometry as follows: normal spirometry (FEV1/FVC ≥0.70 and FEV1 ≥80% predicted), PRISm (≥0.70 and <80%), airflow limitation (AFL) Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1 (<0.70 and ≥80%), and AFL GOLD 2 to 4 (<0.70 and <80%). Hazard ratios (HRs) and their 95% confidence intervals (CIs) were computed using a Cox proportional hazards model. RESULTS During the follow-up period, 122 participants developed dementia. The age- and sex-adjusted incidences of dementia in the participants with normal spirometry, PRISm, AFL GOLD 1, and AFL GOLD 2 to 4 were 20.5, 37.0, 18.4, and 28.6 per 1,000 person-years, respectively. Participants with PRISm had a higher risk of dementia (HR 2.04; 95% CI, 1.19-3.49) than those with normal spirometry after adjusting for confounders. Moreover, both reduced FEV1% predicted values and FVC% predicted values were associated with the risk of dementia. CONCLUSION PRISm was associated with an increased risk of dementia in a general older Japanese population.
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Affiliation(s)
- Kenji Kawatoko
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuyoshi Washio
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Satoru Fukuyama
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Respiratory Medicine, National Hospital Organization Omuta National Hospital, Fukuoka, Japan
| | - Takanori Honda
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Taro Nakazawa
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keiko Kan-o
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiromasa Inoue
- Department of Pulmonary Medicine, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Koichiro Matsumoto
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Division of Respiratory Medicine, Fukuoka Dental College Medical and Dental Hospital, Fukuoka, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanari Kitazono
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Isamu Okamoto
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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Rodella P, Boreski D, Luz MAM, Gabriel EA, Takase LF, Chin CM. Taurine Neuroprotection and Neurogenesis Effect in Chronic Ethanol-Induced Rats. Nutrients 2024; 16:1973. [PMID: 38931326 PMCID: PMC11206532 DOI: 10.3390/nu16121973] [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: 05/31/2024] [Revised: 06/15/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024] Open
Abstract
Taurine (2-aminoethanesulfonic acid) is a non-protein β-amino acid essential for cellular homeostasis, with antioxidant, anti-inflammatory, and cytoprotective properties that are crucial for life maintenance. This study aimed to evaluate the effects of taurine administration on hippocampal neurogenesis, neuronal preservation, or reverse damage in rats exposed to forced ethanol consumption in an animal model. Wistar rats were treated with ethanol (EtOH) for a 28-day period (5% in the 1st week, 10% in the 2nd week, and 20% in the 3rd and 4th weeks). Two taurine treatment protocols (300 mg/kg i.p.) were implemented: one during ethanol consumption to analyze neuroprotection, and another after ethanol consumption to assess the reversal of ethanol-induced damage. Overall, the results demonstrated that taurine treatment was effective in protecting against deficits induced by ethanol consumption in the dentate gyrus. The EtOH+TAU group showed a significant increase in cell proliferation (145.8%) and cell survival (54.0%) compared to the EtOH+Sal group. The results also indicated similar effects regarding the reversal of ethanol-induced damage 28 days after the cessation of ethanol consumption. The EtOH+TAU group exhibited a significant increase (41.3%) in the number of DCX-immunoreactive cells compared to the EtOH+Sal group. However, this amino acid did not induce neurogenesis in the tissues of healthy rats, implying that its activity may be contingent upon post-injury stimuli.
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Affiliation(s)
- Patricia Rodella
- Laboratory for Drug Design (LAPDESF), School of Pharmaceutical Sciences, University of São Paulo State (UNESP), Araraquara 14800-903, Brazil; (P.R.); (D.B.)
| | - Diogo Boreski
- Laboratory for Drug Design (LAPDESF), School of Pharmaceutical Sciences, University of São Paulo State (UNESP), Araraquara 14800-903, Brazil; (P.R.); (D.B.)
| | - Marcus Alexandre Mendes Luz
- Advanced Research Center in Medicine (CEPAM), School of Medicine, Union of the Colleges of the Great Lakes (UNILAGO), Sao Jose do Rio Preto 15030-070, Brazil; (M.A.M.L.); (E.A.G.)
| | - Edmo Atique Gabriel
- Advanced Research Center in Medicine (CEPAM), School of Medicine, Union of the Colleges of the Great Lakes (UNILAGO), Sao Jose do Rio Preto 15030-070, Brazil; (M.A.M.L.); (E.A.G.)
| | - Luiz Fernando Takase
- Morphology and Pathology Department, Federal University of São Paulo of São Carlos (UFSCar), São Carlos 13565-905, Brazil;
| | - Chung Man Chin
- Laboratory for Drug Design (LAPDESF), School of Pharmaceutical Sciences, University of São Paulo State (UNESP), Araraquara 14800-903, Brazil; (P.R.); (D.B.)
- Advanced Research Center in Medicine (CEPAM), School of Medicine, Union of the Colleges of the Great Lakes (UNILAGO), Sao Jose do Rio Preto 15030-070, Brazil; (M.A.M.L.); (E.A.G.)
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Shen Y, Wang Y, Lu J, Mo Y, Ma X, Hu G, Zhou J. Habitual use of glucosamine and adverse liver outcomes among patients with type 2 diabetes and MASLD. Liver Int 2024. [PMID: 38842441 DOI: 10.1111/liv.16001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 05/13/2024] [Accepted: 05/19/2024] [Indexed: 06/07/2024]
Abstract
BACKGROUND Glucosamine is a dietary supplement commonly used to support joint health. However, there has been interest in exploring other effects of glucosamine on health outcomes due to its ant-inflammation effect. OBJECTIVE This study compared the risks of major adverse liver outcomes (MALOs) between regular users and non-users of glucosamine among patients with type 2 diabetes and metabolic dysfunction associated steatotic liver disease (MASLD) using the data from a large prospective cohort study. METHODS Demographic, anthropometric, laboratory and medication prescription information among 18 753 patients with type 2 diabetes and MASLD was obtained from the UK Biobank. MASLD was identified based on hepatic steatosis defined by fatty liver index ≥60 plus the presence of any clues of metabolic dysregulation and cardio-metabolic risk factors, excluding patients with moderate to severe alcohol consumption. RESULTS During a mean follow-up of 11.4 years, 826 incident MALOs events were recorded. Patients not regularly using glucosamine compared with patients using glucosamine showed a significantly higher risk of the composite MALOs (HR 1.36, 95% confidence interval [CI] 1.09-1.69) as well as most individual MALOs except for ascites. The multivariable-adjusted HRs of MALOs within 3, 5 and 10 years among non-users of glucosamine compared with regular users were 1.79 (95% CI .69-2.03), 1.88 (95% CI 1.21-2.54) and 1.32 (95% CI 1.05-1.72), respectively. Further subgroup analyses in participants with different baseline characteristics and sensitivity analyses excluding participants who regularly took any other supplements and participants who used self-reports to diagnose diabetes confirmed the findings. CONCLUSIONS The present study indicated that habitual use of glucosamine was associated with a low risk of individual and composite MALOs among patients with type 2 diabetes and MASLD.
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Affiliation(s)
- Yun Shen
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai, China
- Chronic Disease Epidemiology, Pennington Biomedical Researcher Center, Baton Rouge, Louisiana, USA
| | - Yaxin Wang
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai, China
| | - Jingyi Lu
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai, China
| | - Yifei Mo
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai, China
| | - Xiaojing Ma
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai, China
| | - Gang Hu
- Chronic Disease Epidemiology, Pennington Biomedical Researcher Center, Baton Rouge, Louisiana, USA
| | - Jian Zhou
- Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai, China
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Li X, Ramos-Rolón AP, Kass G, Pereira-Rufino LS, Shifman N, Shi Z, Volkow ND, Wiers CE. Imaging neuroinflammation in individuals with substance use disorders. J Clin Invest 2024; 134:e172884. [PMID: 38828729 PMCID: PMC11142750 DOI: 10.1172/jci172884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024] Open
Abstract
Increasing evidence suggests a role of neuroinflammation in substance use disorders (SUDs). This Review presents findings from neuroimaging studies assessing brain markers of inflammation in vivo in individuals with SUDs. Most studies investigated the translocator protein 18 kDa (TSPO) using PET; neuroimmune markers myo-inositol, choline-containing compounds, and N-acetyl aspartate using magnetic resonance spectroscopy; and fractional anisotropy using MRI. Study findings have contributed to a greater understanding of neuroimmune function in the pathophysiology of SUDs, including its temporal dynamics (i.e., acute versus chronic substance use) and new targets for SUD treatment.
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Affiliation(s)
- Xinyi Li
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Astrid P. Ramos-Rolón
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Gabriel Kass
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Lais S. Pereira-Rufino
- Departamento de Morfologia e Genética, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Naomi Shifman
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Zhenhao Shi
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Nora D. Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, Maryland, USA
| | - Corinde E. Wiers
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
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Gandhi UH, Benjamin A, Gajjar S, Hirani T, Desai K, Suhagia BB, Ahmad R, Sinha S, Haque M, Kumar S. Alcohol and Periodontal Disease: A Narrative Review. Cureus 2024; 16:e62270. [PMID: 39006719 PMCID: PMC11246185 DOI: 10.7759/cureus.62270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Accepted: 06/12/2024] [Indexed: 07/16/2024] Open
Abstract
The scientific literature dealing with alcohol and alcoholic beverages revealed that these drinks possess an adverse impact on periodontal tissues. Additionally, other principal risk factors include tobacco, smoking, poor oral hygiene, etc. It has been observed that among chronic alcoholics, there are further issues, such as mental, social, and physical effects, that promote alcoholism. These people may have weak immunity for defense against pathogenic organisms and bacteria. Thus, chances of gingival bleeding, swollen gums, bad breath, and increased bone loss are there. Different alcoholic beverages in the market cause less salivation; these beverages contain sugars that promote acid production in the oral cavity by pathogens that demineralize the enamel and damage gum and teeth. This chronic alcohol consumption can progress into different types of oral disorders, including cancer, halitosis, and caries, and is also associated with tobacco and smoking. Chronic alcohol consumption can cause alteration of the oral microbiome and increase oral pathogens, which lead to periodontal disease and an environment of inflammation created in the body due to malnutrition, diminished immunity, altered liver condition, brain damage, and gut microbiota alteration. Heavily colored alcoholic beverages produce staining on teeth and, due to less saliva, may cause other toxic effects on the periodontium. Over-dependency on alcohol leads to necrotizing lesions such as necrotizing gingivitis, necrotizing periodontitis, and necrotizing stomatitis. These pathological impairments instigate severe damage to oral structures. Therefore, proper counseling by the attending dental surgeon and related health professionals is urgently required for the patient on the basis that the individual case needs to go away from the regular heavy consumption of alcohol.
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Affiliation(s)
- Utsav H Gandhi
- Department of Periodontology, School of Dentistry, Karnavati University, Gandhinagar, IND
| | - Amit Benjamin
- Department of Periodontology, School of Dentistry, Karnavati University, Gandhinagar, IND
| | - Shreya Gajjar
- Department of Periodontology, School of Dentistry, Karnavati University, Gandhinagar, IND
| | - Tanvi Hirani
- Department of Periodontology, School of Dentistry, Karnavati University, Gandhinagar, IND
| | - Khushboo Desai
- Department of Periodontology, School of Dentistry, Karnavati University, Gandhinagar, IND
| | - Bansariben B Suhagia
- Department of Periodontology, Ahmedabad Dental College and Hospital, Gujarat University, Ahmedabad, IND
| | - Rahnuma Ahmad
- Department of Physiology, Medical College for Women and Hospital, Dhaka, BGD
| | - Susmita Sinha
- Department of Physiology, Enam Medical College and Hospital, Dhaka, BGD
| | - Mainul Haque
- Department of Research, Karnavati Scientific Research Center, School of Dentistry, Karnavati University, Gandhinagar, IND
- Department of Pharmacology and Therapeutics, National Defence University of Malaysia, Kuala Lumpur, MYS
| | - Santosh Kumar
- Department of Periodontology, School of Dentistry, Karnavati University, Gandhinagar, IND
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Wang Z, Yang X, Li H, Wang S, Liu Z, Wang Y, Zhang X, Chen Y, Xu Q, Xu J, Wang Z, Wang J. Bidirectional two-sample Mendelian randomization analyses support causal relationships between structural and diffusion imaging-derived phenotypes and the risk of major neurodegenerative diseases. Transl Psychiatry 2024; 14:215. [PMID: 38806463 PMCID: PMC11133432 DOI: 10.1038/s41398-024-02939-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 05/10/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024] Open
Abstract
Previous observational investigations suggest that structural and diffusion imaging-derived phenotypes (IDPs) are associated with major neurodegenerative diseases; however, whether these associations are causal remains largely uncertain. Herein we conducted bidirectional two-sample Mendelian randomization analyses to infer the causal relationships between structural and diffusion IDPs and major neurodegenerative diseases using common genetic variants-single nucleotide polymorphism (SNPs) as instrumental variables. Summary statistics of genome-wide association study (GWAS) for structural and diffusion IDPs were obtained from 33,224 individuals in the UK Biobank cohort. Summary statistics of GWAS for seven major neurodegenerative diseases were obtained from the largest GWAS for each disease to date. The forward MR analyses identified significant or suggestively statistical causal effects of genetically predicted three structural IDPs on Alzheimer's disease (AD), frontotemporal dementia (FTD), and multiple sclerosis. For example, the reduction in the surface area of the left superior temporal gyrus was associated with a higher risk of AD. The reverse MR analyses identified significantly or suggestively statistical causal effects of genetically predicted AD, Lewy body dementia (LBD), and FTD on nine structural and diffusion IDPs. For example, LBD was associated with increased mean diffusivity in the right superior longitudinal fasciculus and AD was associated with decreased gray matter volume in the right ventral striatum. Our findings might contribute to shedding light on the prediction and therapeutic intervention for the major neurodegenerative diseases at the neuroimaging level.
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Affiliation(s)
- Zirui Wang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xuan Yang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
- Department of Radiology, Jining No.1 People's Hospital, Jining, Shandong, 272000, China
| | - Haonan Li
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Siqi Wang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Zhixuan Liu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Yaoyi Wang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Xingyu Zhang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Yayuan Chen
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Qiang Xu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Jiayuan Xu
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
| | - Zengguang Wang
- Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.
| | - Junping Wang
- Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
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9
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Jiang R, Noble S, Rosenblatt M, Dai W, Ye J, Liu S, Qi S, Calhoun VD, Sui J, Scheinost D. The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nat Commun 2024; 15:4411. [PMID: 38782943 PMCID: PMC11116547 DOI: 10.1038/s41467-024-48827-8] [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: 02/07/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024] Open
Abstract
Cross-sectional studies have demonstrated strong associations between physical frailty and depression. However, the evidence from prospective studies is limited. Here, we analyze data of 352,277 participants from UK Biobank with 12.25-year follow-up. Compared with non-frail individuals, pre-frail and frail individuals have increased risk for incident depression independent of many putative confounds. Altogether, pre-frail and frail individuals account for 20.58% and 13.16% of depression cases by population attributable fraction analyses. Higher risks are observed in males and individuals younger than 65 years than their counterparts. Mendelian randomization analyses support a potential causal effect of frailty on depression. Associations are also observed between inflammatory markers, brain volumes, and incident depression. Moreover, these regional brain volumes and three inflammatory markers-C-reactive protein, neutrophils, and leukocytes-significantly mediate associations between frailty and depression. Given the scarcity of curative treatment for depression and the high disease burden, identifying potential modifiable risk factors of depression, such as frailty, is needed.
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Affiliation(s)
- Rongtao Jiang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA.
| | - Stephanie Noble
- Department of Psychology, Northeastern University, Boston, MA, USA
- Department of Bioengineering, Northeastern University, Boston, MA, USA
- Center for Cognitive and Brain Health, Northeastern University, Boston, MA, USA
| | - Matthew Rosenblatt
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
| | - Wei Dai
- Department of Biostatistics, Yale University, New Haven, CT, 06520, USA
| | - Jean Ye
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, 06520, USA
| | - Shu Liu
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Shile Qi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, 30303, USA
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06510, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, 06520, USA
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, 06520, USA
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA
- Child Study Center, Yale School of Medicine, New Haven, CT, 06510, USA
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10
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Zahr NM. Alcohol Use Disorder and Dementia: A Review. Alcohol Res 2024; 44:03. [PMID: 38812709 PMCID: PMC11135165 DOI: 10.35946/arcr.v44.1.03] [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] [Indexed: 05/31/2024] Open
Abstract
PURPOSE By 2040, 21.6% of Americans will be over age 65, and the population of those older than age 85 is estimated to reach 14.4 million. Although not causative, older age is a risk factor for dementia: every 5 years beyond age 65, the risk doubles; approximately one-third of those older than age 85 are diagnosed with dementia. As current alcohol consumption among older adults is significantly higher compared to previous generations, a pressing question is whether drinking alcohol increases the risk for Alzheimer's disease or other forms of dementia. SEARCH METHODS Databases explored included PubMed, Web of Science, and ScienceDirect. To accomplish this narrative review on the effects of alcohol consumption on dementia risk, the literature covered included clinical diagnoses, epidemiology, neuropsychology, postmortem pathology, neuroimaging and other biomarkers, and translational studies. Searches conducted between January 12 and August 1, 2023, included the following terms and combinations: "aging," "alcoholism," "alcohol use disorder (AUD)," "brain," "CNS," "dementia," "Wernicke," "Korsakoff," "Alzheimer," "vascular," "frontotemporal," "Lewy body," "clinical," "diagnosis," "epidemiology," "pathology," "autopsy," "postmortem," "histology," "cognitive," "motor," "neuropsychological," "magnetic resonance," "imaging," "PET," "ligand," "degeneration," "atrophy," "translational," "rodent," "rat," "mouse," "model," "amyloid," "neurofibrillary tangles," "α-synuclein," or "presenilin." When relevant, "species" (i.e., "humans" or "other animals") was selected as an additional filter. Review articles were avoided when possible. SEARCH RESULTS The two terms "alcoholism" and "aging" retrieved about 1,350 papers; adding phrases-for example, "postmortem" or "magnetic resonance"-limited the number to fewer than 100 papers. Using the traditional term, "alcoholism" with "dementia" resulted in 876 citations, but using the currently accepted term "alcohol use disorder (AUD)" with "dementia" produced only 87 papers. Similarly, whereas the terms "Alzheimer's" and "alcoholism" yielded 318 results, "Alzheimer's" and "alcohol use disorder (AUD)" returned only 40 citations. As pertinent postmortem pathology papers were published in the 1950s and recent animal models of Alzheimer's disease were created in the early 2000s, articles referenced span the years 1957 to 2024. In total, more than 5,000 articles were considered; about 400 are herein referenced. DISCUSSION AND CONCLUSIONS Chronic alcohol misuse accelerates brain aging and contributes to cognitive impairments, including those in the mnemonic domain. The consensus among studies from multiple disciplines, however, is that alcohol misuse can increase the risk for dementia, but not necessarily Alzheimer's disease. Key issues to consider include the reversibility of brain damage following abstinence from chronic alcohol misuse compared to the degenerative and progressive course of Alzheimer's disease, and the characteristic presence of protein inclusions in the brains of people with Alzheimer's disease, which are absent in the brains of those with AUD.
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Affiliation(s)
- Natalie M Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California. Center for Health Sciences, SRI International, Menlo Park, California
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11
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Lauretani F, Giallauria F, Testa C, Zinni C, Lorenzi B, Zucchini I, Salvi M, Napoli R, Maggio MG. Dopamine Pharmacodynamics: New Insights. Int J Mol Sci 2024; 25:5293. [PMID: 38791331 PMCID: PMC11121567 DOI: 10.3390/ijms25105293] [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: 02/25/2024] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
Dopamine is a key neurotransmitter involved in physiological processes such as motor control, motivation, reward, cognitive function, and maternal and reproductive behaviors. Therefore, dysfunctions of the dopaminergic system are related to a plethora of human diseases. Dopamine, via different circuitries implicated in compulsive behavior, reward, and habit formation, also represents a key player in substance use disorder and the formation and perpetuation of mechanisms leading to addiction. Here, we propose dopamine as a model not only of neurotransmission but also of neuromodulation capable of modifying neuronal architecture. Abuse of substances like methamphetamine, cocaine, and alcohol and their consumption over time can induce changes in neuronal activities. These modifications lead to synaptic plasticity and finally to morphological and functional changes, starting from maladaptive neuro-modulation and ending in neurodegeneration.
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Affiliation(s)
- Fulvio Lauretani
- Geriatric Clinic Unit, Geriatric-Rehabilitation Department, University Hospital, 43126 Parma, Italy; (C.T.); (C.Z.); (B.L.); (I.Z.); (M.S.); (M.G.M.)
- Cognitive and Motor Center, Medicine and Geriatric-Rehabilitation Department of Parma, University-Hospital of Parma, 43126 Parma, Italy
| | - Francesco Giallauria
- Department of Translational Medical Sciences, “Federico II” University of Naples, via S. Pansini 5, 80131 Naples, Italy; (F.G.); (R.N.)
| | - Crescenzo Testa
- Geriatric Clinic Unit, Geriatric-Rehabilitation Department, University Hospital, 43126 Parma, Italy; (C.T.); (C.Z.); (B.L.); (I.Z.); (M.S.); (M.G.M.)
| | - Claudia Zinni
- Geriatric Clinic Unit, Geriatric-Rehabilitation Department, University Hospital, 43126 Parma, Italy; (C.T.); (C.Z.); (B.L.); (I.Z.); (M.S.); (M.G.M.)
| | - Beatrice Lorenzi
- Geriatric Clinic Unit, Geriatric-Rehabilitation Department, University Hospital, 43126 Parma, Italy; (C.T.); (C.Z.); (B.L.); (I.Z.); (M.S.); (M.G.M.)
| | - Irene Zucchini
- Geriatric Clinic Unit, Geriatric-Rehabilitation Department, University Hospital, 43126 Parma, Italy; (C.T.); (C.Z.); (B.L.); (I.Z.); (M.S.); (M.G.M.)
| | - Marco Salvi
- Geriatric Clinic Unit, Geriatric-Rehabilitation Department, University Hospital, 43126 Parma, Italy; (C.T.); (C.Z.); (B.L.); (I.Z.); (M.S.); (M.G.M.)
| | - Raffaele Napoli
- Department of Translational Medical Sciences, “Federico II” University of Naples, via S. Pansini 5, 80131 Naples, Italy; (F.G.); (R.N.)
| | - Marcello Giuseppe Maggio
- Geriatric Clinic Unit, Geriatric-Rehabilitation Department, University Hospital, 43126 Parma, Italy; (C.T.); (C.Z.); (B.L.); (I.Z.); (M.S.); (M.G.M.)
- Cognitive and Motor Center, Medicine and Geriatric-Rehabilitation Department of Parma, University-Hospital of Parma, 43126 Parma, Italy
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12
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Mudyanselage AW, Wijamunige BC, Kocoń A, Turner R, McLean D, Morentin B, Callado LF, Carter WG. Alcohol Triggers the Accumulation of Oxidatively Damaged Proteins in Neuronal Cells and Tissues. Antioxidants (Basel) 2024; 13:580. [PMID: 38790685 PMCID: PMC11117938 DOI: 10.3390/antiox13050580] [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: 04/09/2024] [Revised: 04/30/2024] [Accepted: 05/04/2024] [Indexed: 05/26/2024] Open
Abstract
Alcohol is toxic to neurons and can trigger alcohol-related brain damage, neuronal loss, and cognitive decline. Neuronal cells may be vulnerable to alcohol toxicity and damage from oxidative stress after differentiation. To consider this further, the toxicity of alcohol to undifferentiated SH-SY5Y cells was compared with that of cells that had been acutely differentiated. Cells were exposed to alcohol over a concentration range of 0-200 mM for up to 24 h and alcohol effects on cell viability were evaluated via MTT and LDH assays. Effects on mitochondrial morphology were examined via transmission electron microscopy, and mitochondrial functionality was examined using measurements of ATP and the production of reactive oxygen species (ROS). Alcohol reduced cell viability and depleted ATP levels in a concentration- and exposure duration-dependent manner, with undifferentiated cells more vulnerable to toxicity. Alcohol exposure resulted in neurite retraction, altered mitochondrial morphology, and increased the levels of ROS in proportion to alcohol concentration; these peaked after 3 and 6 h exposures and were significantly higher in differentiated cells. Protein carbonyl content (PCC) lagged behind ROS production and peaked after 12 and 24 h, increasing in proportion to alcohol concentration, with higher levels in differentiated cells. Carbonylated proteins were characterised by their denatured molecular weights and overlapped with those from adult post-mortem brain tissue, with levels of PCC higher in alcoholic subjects than matched controls. Hence, alcohol can potentially trigger cell and tissue damage from oxidative stress and the accumulation of oxidatively damaged proteins.
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Affiliation(s)
- Anusha W. Mudyanselage
- Clinical Toxicology Research Group, School of Medicine, University of Nottingham, Royal Derby Hospital Centre, Uttoxeter Road, Derby DE22 3DT, UK; (A.W.M.); (B.C.W.); (A.K.); (R.T.)
- Department of Export Agriculture, Faculty of Agricultural Sciences, Sabaragamuwa University of Sri Lanka, Belihuloya 70140, Sri Lanka
| | - Buddhika C. Wijamunige
- Clinical Toxicology Research Group, School of Medicine, University of Nottingham, Royal Derby Hospital Centre, Uttoxeter Road, Derby DE22 3DT, UK; (A.W.M.); (B.C.W.); (A.K.); (R.T.)
- Department of Export Agriculture, Faculty of Agricultural Sciences, Sabaragamuwa University of Sri Lanka, Belihuloya 70140, Sri Lanka
| | - Artur Kocoń
- Clinical Toxicology Research Group, School of Medicine, University of Nottingham, Royal Derby Hospital Centre, Uttoxeter Road, Derby DE22 3DT, UK; (A.W.M.); (B.C.W.); (A.K.); (R.T.)
| | - Ricky Turner
- Clinical Toxicology Research Group, School of Medicine, University of Nottingham, Royal Derby Hospital Centre, Uttoxeter Road, Derby DE22 3DT, UK; (A.W.M.); (B.C.W.); (A.K.); (R.T.)
| | - Denise McLean
- School of Life Sciences, University of Nottingham, Nottingham NG7 2UH, UK;
| | - Benito Morentin
- Section of Forensic Pathology, Basque Institute of Legal Medicine, E-48001 Bilbao, Spain;
| | - Luis F. Callado
- Department of Pharmacology, University of the Basque Country-UPV/EHU, E-48940 Leioa, Spain;
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain
| | - Wayne G. Carter
- Clinical Toxicology Research Group, School of Medicine, University of Nottingham, Royal Derby Hospital Centre, Uttoxeter Road, Derby DE22 3DT, UK; (A.W.M.); (B.C.W.); (A.K.); (R.T.)
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13
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Wong B, Moore A, McDonald K, Ledwidge M. Alcohol Consumption and Progression of Heart Failure in Those at Risk for or With Pre-heart Failure. J Card Fail 2024:S1071-9164(24)00121-0. [PMID: 38679412 DOI: 10.1016/j.cardfail.2024.04.003] [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: 01/17/2024] [Revised: 03/19/2024] [Accepted: 04/05/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND This study aimed to understand the dose-response relationship between alcohol consumption, progression of left ventricular dysfunction (LVD) and/or symptomatic heart failure (HF) in an older European population at risk for HF (stage A) or with pre-HF (stage B). METHODS This longitudinal, observational, secondary analysis of the STOP-HF (St Vincent's Screening TO-Prevent Heart Failure) trial follow-up study excluded former alcohol drinkers and included patients with documented alcohol intake and echocardiography at baseline and follow-up ≥ 18 months. It evaluated the relationship between alcohol intake and progression of LVD/symptomatic (stage C) HF in those at risk for or with pre-HF. RESULTS Of 744 patients (mean age 66.5 [SD 9.8] years), 395 (53.1%) were female, and 260 (34.9%) had pre-HF at baseline. Overall, 201 (27.0%) patients reported no alcohol usage, 356 (47.8%) reported ≤70 g/week (low) alcohol intake, and 187 (25.1%) reported > 70g/week (moderate-high). Over a median follow-up of 5.44 (IQR 4.33;6.73) years, 84 (11.3%) patients experienced progression of LVD/symptomatic HF. Alcohol usage of > 70g/week was associated with an adjusted 4.9-fold (95% CI 1.7-15.1; P < 0.01) increased risk of HF progression among those with pre-HF at baseline. The adverse relationship remained significant when adjusting for age, sex, diabetes, hypertension, body mass index, as well as further models with baseline liver function and alcohol dehydrogenase 1B gene variant rs1229984 status. The association remained when excluding those with high (> 140 g) weekly alcohol intake. In patients at risk for HF, there was no association of alcohol usage with progression of LVD/symptomatic HF. No protective associations of low alcohol usage (≤70 g/week) on progression of HF were found. CONCLUSION Moderate to high alcohol (> 70 g/week) usage appears to be associated with progression of LVD/symptomatic HF in those with pre-HF, and we did not observe protective benefits of low alcohol usage.
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Affiliation(s)
- Bethany Wong
- St Vincent's University Hospital, Elm Park, Dublin, Ireland; School of Medicine, University College Dublin, Dublin, Ireland
| | - Ashe Moore
- Heartbeat Trust, St Michael's Hospital, Dun Laoghaire, Dublin, Ireland; School of Medicine, University College Dublin, Dublin, Ireland
| | - Ken McDonald
- St Vincent's University Hospital, Elm Park, Dublin, Ireland; Heartbeat Trust, St Michael's Hospital, Dun Laoghaire, Dublin, Ireland; School of Medicine, University College Dublin, Dublin, Ireland
| | - Mark Ledwidge
- School of Medicine, University College Dublin, Dublin, Ireland.
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14
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Nakashima M, Suga N, Yoshikawa S, Ikeda Y, Matsuda S. Potential Molecular Mechanisms of Alcohol Use Disorder with Non-Coding RNAs and Gut Microbiota for the Development of Superior Therapeutic Application. Genes (Basel) 2024; 15:431. [PMID: 38674366 PMCID: PMC11049149 DOI: 10.3390/genes15040431] [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: 02/16/2024] [Revised: 03/27/2024] [Accepted: 03/28/2024] [Indexed: 04/28/2024] Open
Abstract
Many investigations have evaluated the expression of noncoding RNAs (ncRNAs) as well as their related molecular functions and biological machineries in individuals with alcohol dependence. Alcohol dependence may be one of the most prevailing psychological disorders globally, and its pathogenesis is intricate and inadequately comprehended. There is substantial evidence indicating significant links between multiple genetic factors and the development of alcohol dependence. In particular, the critical roles of ncRNAs have been emphasized in the pathology of mental illnesses, probably including alcohol dependence. In the comprehension of the action of ncRNAs and their machineries of modification, furthermore, they have emerged as therapeutic targets for a variety of psychiatric illnesses, including alcohol dependence. It is worth mentioning that the dysregulated expression of ncRNAs has been regularly detected in individuals with alcohol dependence. An in-depth knowledge of the roles of ncRNAs and m6A modification may be valuable for the development of a novel treatment against alcohol dependence. In general, a more profound understanding of the practical roles of ncRNAs might make important contributions to the precise diagnosis and/or actual management of alcohol dependence. Here, in this review, we mostly focused on up-to-date knowledge regarding alterations and/or modifications in the expression of ncRNAs in individuals with alcohol dependence. Then, we present prospects for future research and therapeutic applications with a novel concept of the engram system.
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Affiliation(s)
| | | | | | | | - Satoru Matsuda
- Department of Food Science and Nutrition, Nara Women’s University, Kita-Uoya Nishimachi, Nara 630-8506, Japan
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15
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de Almeida MA, Barbosa MT, Resende EDPF, Carvalho VA, Santos APB, Machado JCB, Lara VP, Gomes KB, Machado TH, Caramelli P. Association of Alcohol Consumption with Cognition and Functionality in Older Adults Aged 75+ Years: The Pietà Study. Can J Aging 2024:1-11. [PMID: 38467581 DOI: 10.1017/s0714980824000126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2024] Open
Abstract
The relationship between alcohol consumption and cognition is still controversial. This is a cross-sectional population-based study conducted in Caeté (MG), Brazil, where 602 individuals aged 75+ years, 63.6% female, and with a mean education of 2.68 years, were submitted to thorough clinical assessments and categorized according to the number of alcoholic beverages consumed weekly. The prevalence rates of previous and current alcohol consumption were 34.6% and 12.3%, respectively. No association emerged between cognitive diagnoses and current/previous alcohol consumption categories. Considering current alcohol intake as a dichotomous variable, the absence of alcohol consumption was associated with dementia (OR = 2.34; 95%CI: 1.39-3.90) and worse functionality (p = 0.001). Previous consumption of cachaça (sugar cane liquor) increased the risk of dementia by 2.52 (95%CI: 1.25-5.04). The association between the consumption of cachaça and dementia diagnosis has not been described before.
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Affiliation(s)
- Mariana Alves de Almeida
- Behavioral and Cognitive Neurology Research Group, Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Maira Tonidandel Barbosa
- Behavioral and Cognitive Neurology Research Group, Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
- Faculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Elisa de Paula França Resende
- Behavioral and Cognitive Neurology Research Group, Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
- Faculdade de Ciências Médicas de Minas Gerais, Belo Horizonte, MG, Brazil
- Hospital das Clínicas da Universidade Federal de Minas Gerais/EBSERH, Belo Horizonte, MG, Brazil
| | - Viviane Amaral Carvalho
- Behavioral and Cognitive Neurology Research Group, Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Ana Paula Borges Santos
- Hospital das Clínicas da Universidade Federal de Minas Gerais/EBSERH, Belo Horizonte, MG, Brazil
| | | | - Vivian Proença Lara
- Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Karina Braga Gomes
- Faculdade de Farmácia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Thais Helena Machado
- Behavioral and Cognitive Neurology Research Group, Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
- Departamento de Fonoaudiologia, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Paulo Caramelli
- Behavioral and Cognitive Neurology Research Group, Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
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16
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Allen RS, Lin SSH, Ly TK, Jacobs ML, McKinney RE, Cox BS, Albright AE, Dragan DM, Carroll D, Halli-Tierney A. Substance Use Screening in Geriatric Primary Care: Cultural Issues and Alcohol Consumption in the Deep South. Clin Gerontol 2024:1-9. [PMID: 38469621 DOI: 10.1080/07317115.2024.2326523] [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: 03/13/2024]
Abstract
OBJECTIVES To investigate indicators of potentially hazardous alcohol use among older adults living in a region with high substance use stigma. METHODS Patients at a university-affiliated geriatrics clinic in the Deep South of theUS completed behavioral health screenings including self-reported alcohol use, symptoms of depression or anxiety, and cognitive functioning between 2018 and 2022. RESULTS Participants (N = 278) averaged 76.04 years of age (SD = 9.25), were predominantly female (70.9%), and non-Hispanic white (84.5%), with an averageof 6.08 comorbid diagnoses (SD = 2.86). Race/ethnicity, age, and symptoms of anxiety were associated with alcohol use and hazardous alcohol use, with non-Hispanic whites, younger individuals, and those with more anxiety symptoms reporting more alcohol use. Notably, alcohol use and hazardous alcohol use were associated with cognitive functioning in the dementia range. CONCLUSION Self-reported alcohol use is low in geriatric primary care in the Deep South, US, differs by race/ethnicity, and is predictive of cognitive impairment when alcohol use is hazardous. Issues of trust and stigma may play a role in self-report ofstigmatized behaviors. CLINICAL IMPLICATIONS Self-reported alcohol intake must be considered within the cultural context of regional stigma. Recommendations to address this are provided.
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Affiliation(s)
- Rebecca S Allen
- Department of Psychology, College of Arts and Sciences, The University of Alabama, Tuscaloosa, Alabama, USA
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Shayne S H Lin
- Department of Psychology, College of Arts and Sciences, The University of Alabama, Tuscaloosa, Alabama, USA
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Timothy K Ly
- Department of Psychology, College of Arts and Sciences, The University of Alabama, Tuscaloosa, Alabama, USA
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
| | - M Lindsey Jacobs
- Department of Psychology, College of Arts and Sciences, The University of Alabama, Tuscaloosa, Alabama, USA
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Robert E McKinney
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
- Psychiatry and Behavioral Medicine, College of Community Health Sciences, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Brian S Cox
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Amy E Albright
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Deanna M Dragan
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
- Salem Veterans Affairs Medical Center, Salem, Virginia, USA
| | - Dana Carroll
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
- Family, Internal, and Rural Medicine, College of Community Health Sciences, The University of Alabama, Tuscaloosa, Alabama, USA
- Harrison School of Pharmacy, Auburn University, Auburn, Alabama, USA
| | - Anne Halli-Tierney
- Alabama Research Institute on Aging, Alabama Life Research Institute, The University of Alabama, Tuscaloosa, Alabama, USA
- Family, Internal, and Rural Medicine, College of Community Health Sciences, The University of Alabama, Tuscaloosa, Alabama, USA
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17
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Miller AP, Baranger DAA, Paul SE, Garavan H, Mackey S, Tapert SF, LeBlanc KH, Agrawal A, Bogdan R. Neuroanatomical variability associated with early substance use initiation: Results from the ABCD Study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.06.24303876. [PMID: 38496425 PMCID: PMC10942495 DOI: 10.1101/2024.03.06.24303876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
The extent to which neuroanatomical variability associated with substance involvement reflects pre-existing risk and/or consequences of substance exposure remains poorly understood. In the Adolescent Brain Cognitive DevelopmentSM (ABCD®) Study, we identify associations between global and regional differences in brain structure and early substance use initiation (i.e., occurring <15 years of age; nsanalytic=6,556-9,804), with evidence that associations precede initiation. Neurodevelopmental variability in brain structure may confer risk for substance involvement.
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Affiliation(s)
- Alex P. Miller
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - David A. A. Baranger
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
| | - Sarah E. Paul
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont Lamer College of Medicine, Burlington, VT, United States
| | - Scott Mackey
- Department of Psychiatry, University of Vermont Lamer College of Medicine, Burlington, VT, United States
| | - Susan F. Tapert
- Department of Psychiatry, University of California San Diego, San Diego, CA, United States
| | - Kimberly H. LeBlanc
- Division of Extramural Research, National Institute on Drug Abuse, Bethesda, MA, United States
| | - Arpana Agrawal
- Department of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, United States
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18
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Zheng JW, Ai SZ, Chang SH, Meng SQ, Shi L, Deng JH, Di TQ, Liu WY, Chang XW, Yue JL, Yang XQ, Zeng N, Bao YP, Sun Y, Lu L, Shi J. Association between alcohol consumption and sleep traits: observational and mendelian randomization studies in the UK biobank. Mol Psychiatry 2024; 29:838-846. [PMID: 38233469 DOI: 10.1038/s41380-023-02375-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 11/21/2023] [Accepted: 12/12/2023] [Indexed: 01/19/2024]
Abstract
Previous studies have shown that excessive alcohol consumption is associated with poor sleep. However, the health risks of light-to-moderate alcohol consumption in relation to sleep traits (e.g., insomnia, snoring, sleep duration and chronotype) remain undefined, and their causality is still unclear in the general population. To identify the association between alcohol consumption and multiple sleep traits using an observational and Mendelian randomization (MR) design. Observational analyses and one-sample MR (linear and nonlinear) were performed using clinical and individual-level genetic data from the UK Biobank (UKB). Two-sample MR was assessed using summary data from genome-wide association studies from the UKB and other external consortia. Phenotype analyses were externally validated using data from the National Health and Nutrition Examination Survey (2017-2018). Data analysis was conducted from January 2022 to October 2022. The association between alcohol consumption and six self-reported sleep traits (short sleep duration, long sleep duration, chronotype, snoring, waking up in the morning, and insomnia) were analysed. This study included 383,357 UKB participants (mean [SD] age, 57.0 [8.0] years; 46% male) who consumed a mean (SD) of 9.0 (10.0) standard drinks (one standard drink equivalent to 14 g of alcohol) per week. In the observational analyses, alcohol consumption was significantly associated with all sleep traits. Light-moderate-heavy alcohol consumption was linearly linked to snoring and the evening chronotype but nonlinearly associated with insomnia, sleep duration, and napping. In linear MR analyses, a 1-SD (14 g) increase in genetically predicted alcohol consumption was associated with a 1.14-fold (95% CI, 1.07-1.22) higher risk of snoring (P < 0.001), a 1.28-fold (95% CI, 1.20-1.37) higher risk of evening chronotype (P < 0.001) and a 1.24-fold (95% CI, 1.13-1.36) higher risk of difficulty waking up in the morning (P < 0.001). Nonlinear MR analyses did not reveal significant results after Bonferroni adjustment. The results of the two-sample MR analyses were consistent with those of the one-sample MR analyses, but with a slightly attenuated overall estimate. Our findings suggest that even low levels of alcohol consumption may affect sleep health, particularly by increasing the risk of snoring and evening chronotypes. The negative effects of alcohol consumption on sleep should be made clear to the public in order to promote public health.
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Affiliation(s)
- Jun-Wei Zheng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, 100191, Beijing, China
| | - Si-Zhi Ai
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510182, China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 511436, China
- Institute of Psycho-neuroscience, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Su-Hua Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Shi-Qiu Meng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Jia-Hui Deng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Tian-Qi Di
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, 100191, Beijing, China
| | - Wang-Yue Liu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, 100191, Beijing, China
| | - Xiang-Wen Chang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Jing-Li Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Xiao-Qin Yang
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China
- Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, 100191, Beijing, China
| | - Na Zeng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China
- School of Public Health, Peking University, 100191, Beijing, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China
| | - Yan Sun
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
- Peking-Tsinghua Center for Life Sciences and International Data Group/McGovern Institute for Brain Research, Peking University, 100191, Beijing, China.
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, 100191, Beijing, China.
- The State Key Laboratory of Natural and Biomimetic Drugs, Peking University, 100191, Beijing, China.
- The Key Laboratory for Neuroscience of the Ministry of Education and Health, Peking University, 100191, Beijing, China.
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19
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Huang MC, Tu HY, Chung RH, Kuo HW, Liu TH, Chen CH, Mochly-Rosen D, Liu YL. Changes of neurofilament light chain in patients with alcohol dependence following withdrawal and the genetic effect from ALDH2 Polymorphism. Eur Arch Psychiatry Clin Neurosci 2024; 274:423-432. [PMID: 37314537 PMCID: PMC10719424 DOI: 10.1007/s00406-023-01635-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 05/29/2023] [Indexed: 06/15/2023]
Abstract
Neurofilament light chain (NFL), as a measure of neuroaxonal injury, has recently gained attention in alcohol dependence (AD). Aldehyde dehydrogenase 2 (ALDH2) is the major enzyme which metabolizes the alcohol breakdown product acetaldehyde. An ALDH2 single nucleotide polymorphism (rs671) is associated with less ALDH2 enzyme activity and increased neurotoxicity. We examined the blood NFL levels in 147 patients with AD and 114 healthy controls using enzyme-linked immunosorbent assay and genotyped rs671. We also followed NFL level, alcohol craving and psychological symptoms in patients with AD after 1 and 2 weeks of detoxification. We found the baseline NFL level was significantly higher in patients with AD than in controls (mean ± SD: 264.2 ± 261.8 vs. 72.1 ± 35.6 pg/mL, p < 0.001). The receiver operating characteristic curve revealed that NFL concentration could discriminate patients with AD from controls (area under the curve: 0.85; p < 0.001). The NFL levels were significantly reduced following 1 and 2 weeks of detoxification, with the extent of reduction correlated with the improvement of craving, depression, and anxiety (p < 0.001). Carriers with the rs671 GA genotype, which is associated with less ALDH2 activity, had higher NLF levels either at baseline or after detoxification compared with GG carriers. In conclusion, plasma NFL level was increased in patients with AD and reduced after early abstinence. Reduction in NFL level corroborated well with the improvement of clinical symptoms. The ALDH2 rs671 polymorphism may play a role in modulating the extent of neuroaxonal injury and its recovery.
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Affiliation(s)
- Ming-Chyi Huang
- Department of Addiction Sciences, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- Psychiatric Research Center, Taipei Medical University Hospital, Taipei, Taiwan
| | - Hsueh-Yuan Tu
- Department of Addiction Sciences, Taipei City Psychiatric Center, Taipei City Hospital, Taipei, Taiwan
| | - Ren-Hua Chung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Hsiang-Wei Kuo
- Center for Neuropsychiatric Research, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Tung-Hsia Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Che-Hong Chen
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Daria Mochly-Rosen
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yu-Li Liu
- Center for Neuropsychiatric Research, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
- Graduate Institute of Clinical Medical Science, China Medical University, Taichung, Taiwan.
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20
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Chen J, Li T, Zhao B, Chen H, Yuan C, Garden GA, Wu G, Zhu H. The interaction effects of age, APOE and common environmental risk factors on human brain structure. Cereb Cortex 2024; 34:bhad472. [PMID: 38112569 PMCID: PMC10793588 DOI: 10.1093/cercor/bhad472] [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: 05/04/2023] [Revised: 10/09/2023] [Accepted: 11/06/2023] [Indexed: 12/21/2023] Open
Abstract
Mounting evidence suggests considerable diversity in brain aging trajectories, primarily arising from the complex interplay between age, genetic, and environmental risk factors, leading to distinct patterns of micro- and macro-cerebral aging. The underlying mechanisms of such effects still remain unclear. We conducted a comprehensive association analysis between cerebral structural measures and prevalent risk factors, using data from 36,969 UK Biobank subjects aged 44-81. Participants were assessed for brain volume, white matter diffusivity, Apolipoprotein E (APOE) genotypes, polygenic risk scores, lifestyles, and socioeconomic status. We examined genetic and environmental effects and their interactions with age and sex, and identified 726 signals, with education, alcohol, and smoking affecting most brain regions. Our analysis revealed negative age-APOE-ε4 and positive age-APOE-ε2 interaction effects, respectively, especially in females on the volume of amygdala, positive age-sex-APOE-ε4 interaction on the cerebellar volume, positive age-excessive-alcohol interaction effect on the mean diffusivity of the splenium of the corpus callosum, positive age-healthy-diet interaction effect on the paracentral volume, and negative APOE-ε4-moderate-alcohol interaction effects on the axial diffusivity of the superior fronto-occipital fasciculus. These findings highlight the need of considering age, sex, genetic, and environmental joint effects in elucidating normal or abnormal brain aging.
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Affiliation(s)
- Jie Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill NC 27514, United States
| | - Tengfei Li
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Chapel Hill, NC 27599, United States
| | - Bingxin Zhao
- Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, 265 South 37th Street, 3rd & 4th Floors, Philadelphia, PA 19104-1686, United States
| | - Hui Chen
- School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, China
| | - Changzheng Yuan
- School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, China
- Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue Boston, MA, 02115, United States
| | - Gwenn A Garden
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, 170 Manning Drive Chapel Hill, NC 27599-7025, United States
| | - Guorong Wu
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- Departments of Statistics and Operations Research, University of North Carolina at Chapel Hill, 318 E Cameron Ave #3260, Chapel Hill, NC 27599, United States
- Departments of Computer Science, University of North Carolina at Chapel Hill, 201 South Columbia Street, Chapel Hill, NC 27599, United States
- UNC Neuroscience Center, University of North Carolina at Chapel Hill, 116 Manning Dr, Chapel Hill, NC 27599, United States
- Carolina Institute for Developmental Disabilities, 101 Renee Lynne Ct, Carrboro, NC 27510, United States
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill NC 27514, United States
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Chapel Hill, NC 27599, United States
- Departments of Statistics and Operations Research, University of North Carolina at Chapel Hill, 318 E Cameron Ave #3260, Chapel Hill, NC 27599, United States
- Departments of Computer Science, University of North Carolina at Chapel Hill, 201 South Columbia Street, Chapel Hill, NC 27599, United States
- Departments of Genetics, University of North Carolina at Chapel Hill, 120 Mason Farm Road, Chapel Hill, NC 27514, United States
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21
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Ottino-González J, Cupertino RB, Cao Z, Hahn S, Pancholi D, Albaugh MD, Brumback T, Baker FC, Brown SA, Clark DB, de Zambotti M, Goldston DB, Luna B, Nagel BJ, Nooner KB, Pohl KM, Tapert SF, Thompson WK, Jernigan TL, Conrod P, Mackey S, Garavan H. Brain structural covariance network features are robust markers of early heavy alcohol use. Addiction 2024; 119:113-124. [PMID: 37724052 PMCID: PMC10872365 DOI: 10.1111/add.16330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 07/27/2023] [Indexed: 09/20/2023]
Abstract
BACKGROUND AND AIMS Recently, we demonstrated that a distinct pattern of structural covariance networks (SCN) from magnetic resonance imaging (MRI)-derived measurements of brain cortical thickness characterized young adults with alcohol use disorder (AUD) and predicted current and future problematic drinking in adolescents relative to controls. Here, we establish the robustness and value of SCN for identifying heavy alcohol users in three additional independent studies. DESIGN AND SETTING Cross-sectional and longitudinal studies using data from the Pediatric Imaging, Neurocognition and Genetics (PING) study (n = 400, age range = 14-22 years), the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) (n = 272, age range = 17-22 years) and the Human Connectome Project (HCP) (n = 375, age range = 22-37 years). CASES Cases were defined based on heavy alcohol use patterns or former alcohol use disorder (AUD) diagnoses: 50, 68 and 61 cases were identified. Controls had none or low alcohol use or absence of AUD: 350, 204 and 314 controls were selected. MEASUREMENTS Graph theory metrics of segregation and integration were used to summarize SCN. FINDINGS Mirroring our prior findings, and across the three data sets, cases had a lower clustering coefficient [area under the curve (AUC) = -0.029, P = 0.002], lower modularity (AUC = -0.14, P = 0.004), lower average shortest path length (AUC = -0.078, P = 0.017) and higher global efficiency (AUC = 0.007, P = 0.010). Local efficiency differences were marginal (AUC = -0.017, P = 0.052). That is, cases exhibited lower network segregation and higher integration, suggesting that adjacent nodes (i.e. brain regions) were less similar in thickness whereas spatially distant nodes were more similar. CONCLUSION Structural covariance network (SCN) differences in the brain appear to constitute an early marker of heavy alcohol use in three new data sets and, more generally, demonstrate the utility of SCN-derived metrics to detect brain-related psychopathology.
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Affiliation(s)
- Jonatan Ottino-González
- Division of Endocrinology, The Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Renata B. Cupertino
- Department of Genetics, University of California San Diego, San Diego, CA, USA
| | - Zhipeng Cao
- Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Sage Hahn
- Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Devarshi Pancholi
- Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Matthew D. Albaugh
- Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Ty Brumback
- Department of Psychological Science, Northern Kentucky University, Highland Heights, KY, USA
| | - Fiona C. Baker
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Sandra A. Brown
- Departments of Psychology and Psychiatry, University of California, San Diego, La Jolla, CA, USA
| | - Duncan B. Clark
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - David B. Goldston
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bonnie J. Nagel
- Departments of Psychiatry and Behavioral Neuroscience, Oregon Health and Science University, Portland, OR, USA
| | - Kate B. Nooner
- Department of Psychology, University of North Carolina Wilmington, Wilmington, NC, USA
| | - Kilian M. Pohl
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Susan F. Tapert
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Wesley K. Thompson
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Terry L. Jernigan
- Center for Human Development, University of California, San Diego, CA, USA
| | - Patricia Conrod
- Department of Psychiatry, Université de Montreal, CHU Ste Justine Hospital, Montreal, Québec, Canada
| | - Scott Mackey
- Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington, VT, USA
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22
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Chang Y, Thornton V, Chaloemtoem A, Anokhin AP, Bijsterbosch J, Bogdan R, Hancock DB, Johnson EO, Bierut LJ. Investigating the Relationship Between Smoking Behavior and Global Brain Volume. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:74-82. [PMID: 38130847 PMCID: PMC10733671 DOI: 10.1016/j.bpsgos.2023.09.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 09/21/2023] [Accepted: 09/26/2023] [Indexed: 12/23/2023] Open
Abstract
Background Previous studies have shown that brain volume is negatively associated with cigarette smoking, but there is an ongoing debate about whether smoking causes lowered brain volume or a lower brain volume is a risk factor for smoking. We address this debate through multiple methods that evaluate directionality: Bradford Hill's criteria, which are commonly used to understand a causal relationship in epidemiological studies, and mediation analysis. Methods In 32,094 participants of European descent from the UK Biobank dataset, we examined the relationship between a history of daily smoking and brain volumes, as well as an association of genetic risk score to ever smoking with brain volume. Results A history of daily smoking was strongly associated with decreased brain volume, and a history of heavier smoking was associated with a greater decrease in brain volume. The strongest association was between total gray matter volume and a history of daily smoking (effect size = -2964 mm3, p = 2.04 × 10-16), and there was a dose-response relationship with more pack years smoked associated with a greater decrease in brain volume. A polygenic risk score for smoking initiation was strongly associated with a history of daily smoking (effect size = 0.05, p = 4.20 × 10-84), but only modestly associated with total gray matter volume (effect size = -424 mm3, p = .01). Mediation analysis indicated that a history of daily smoking mediated the relationship between the smoking initiation polygenic risk score and total gray matter volume. Conclusions A history of daily smoking is strongly associated with a decreased total brain volume.
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Affiliation(s)
- Yoonhoo Chang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Vera Thornton
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Ariya Chaloemtoem
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Andrey P. Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
| | - Janine Bijsterbosch
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri
| | - Dana B. Hancock
- Social, Statistical and Environmental Sciences, Research Triangle Institute International, Research Triangle Park, North Carolina
| | - Eric Otto Johnson
- Fellow Program, Research Triangle Institute International, Research Triangle Park, North Carolina
| | - Laura J. Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri
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23
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Liu Z, Huang H, Xie J, Hou L, Xu C. Different dietary carbohydrate component intakes and long-term outcomes in patients with NAFLD: results of longitudinal analysis from the UK Biobank. Nutr J 2023; 22:67. [PMID: 38062487 PMCID: PMC10704713 DOI: 10.1186/s12937-023-00897-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND This study aimed to investigate the association between the intake of different dietary carbohydrate components and the long-term outcomes of non-alcoholic fatty liver disease (NAFLD). METHODS We used prospective data from 26,729 NAFLD participants from the UK Biobank cohort study. Dietary information was recorded by online 24-hour questionnaires (Oxford WebQ). Consumption of different carbohydrate components was calculated by the UK Nutrient Databank Food Composition Table. Cox proportional hazards models were used to estimate the adjusted hazard ratio (HR) and 95% confidence interval (CI). A substitution model was used to estimate the associations of hypothetical substitution for free sugars. RESULTS During a median of 10.5 (IQR: 10.2-11.2) years and a total of 280,135 person-years of follow-up, 310 incident end-stage liver disease (ESLD) and 1750 deaths were recorded. Compared with the lowest quartile, the multi-adjusted HRs (95% CI) of incident ESLD in the highest quartile were 1.65 (1.14-2.39) for free sugars, 0.51 (0.35-0.74) for non-free sugars, and 0.55 (0.36-0.83) for fiber. For overall mortality, the multi-adjusted HRs (95% CI) in the highest quartile were 1.21 (1.04-1.39) for free sugars, 0.79 (0.68-0.92) for non-free sugars, and 0.79 (0.67-0.94) for fiber. Substituting free sugars with equal amounts of non-free sugars, starch or fiber was associated with a lower risk of incident ESLD and overall mortality. CONCLUSIONS A lower intake of free sugars and a higher intake of fiber are associated with a lower incidence of ESLD and overall mortality in NAFLD patients. These findings support the important role of the quality of dietary carbohydrates in preventing ESLD and overall mortality in NAFLD patients.
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Affiliation(s)
- Zhening Liu
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Hangkai Huang
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Jiarong Xie
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
- Department of Gastroenterology, Ningbo First Hospital, Ningbo, 315010, China
- Zhejiang Provincial Clinical Research Center for Digestive Diseases, Hangzhou, 310003, China
| | - Linxiao Hou
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China
| | - Chengfu Xu
- Department of Gastroenterology, the First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Hangzhou, 310003, China.
- Zhejiang Provincial Clinical Research Center for Digestive Diseases, Hangzhou, 310003, China.
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Grezmak T, Krishnan K. Factors that can influence neurocognitive performance: a case study in a controlled environment. Neurocase 2023; 29:180-185. [PMID: 38678306 DOI: 10.1080/13554794.2024.2348228] [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: 11/10/2022] [Accepted: 04/15/2024] [Indexed: 04/29/2024]
Abstract
This is a case study of a patient in her 50s who presents with severe malnutrition, alcohol dependence, and untreated Bipolar Affective Disorder. She was hospitalized multiple times and placed in a group home 1 year after symptom onset. Cognitive and functional improvements are observed over a 6-year period, as demonstrated by 3 comprehensive neuropsychological evaluations. Residing in a monitored and structured environment for 6 years, with stability in psychiatric medications, monitored nutrition and abstinence from alcohol are attributed to this improvement. This study provides unique evidence of the impact of balanced nutrition and improvements in psychiatric symptoms on cognition.
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Affiliation(s)
- Tiffany Grezmak
- Neurological Institute, Section of Neuropsychology, Cleveland Clinic, Cleveland, OH, USA
| | - Kamini Krishnan
- Neurological Institute, Section of Neuropsychology, Cleveland Clinic, Cleveland, OH, USA
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, OH, USA
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Lin W, Zhu L, Lu Y. Association of smoking with brain gray and white matter volume: a Mendelian randomization study. Neurol Sci 2023; 44:4049-4055. [PMID: 37289285 DOI: 10.1007/s10072-023-06854-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 05/12/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND Observational studies have found a significant association between smoking and smaller gray matter volume, but this finding was limited by the reverse causality bias and possible confounding factors. Therefore, we conducted a Mendelian randomization (MR) study to explore the causal association of smoking with brain gray and white matter volume from a genetic perspective, and to investigate the possible mediators influencing the association. METHODS Smoking initiation (ever being a regular smoker) was used as the primary exposure from the GWAS & Sequencing Consortium of Alcohol and Nicotine use in up to 1,232,091 individuals of European descent. Their associations with brain volume were acquired from a recent genome-wide association study of brain imaging phenotypes conducted among 34,298 individuals of the UK Biobank. The random-effects inverse-variance weighted method was applied as the main analysis. Multivariable MR analysis was performed to assess the potential interference of confounding factors on causal effect. RESULTS Genetic liability to smoking initiation was significantly associated with lower gray matter volume (beta, -0.100; 95% CI, -0.156 to -0.043; P=5.23×10-4) but not with white matter volume. Multivariable MR results suggested that the association with lower gray matter volume might be mediated by alcohol drinking. Regarding localized gray matter volume, genetic liability to smoking initiation was associated with lower gray matter volume in left superior temporal gyrus, anterior division and right superior temporal gyrus, posterior division. CONCLUSIONS This MR study supports the association between smoking and lower gray matter volume, and highlights the importance of never smoking.
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Affiliation(s)
- Wenjuan Lin
- Department of Cardiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang, China
| | - Lisheng Zhu
- Cardiovascular Key Lab of Zhejiang Province, Department of Cardiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, China
| | - Yunlong Lu
- Department of Cardiology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang, China.
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Brenn T, Løvsletten O. Mid-life alcohol consumption and survival to age 90 in men: The Tromsø Study 1979-1980 with follow-up to 2019. Scand J Public Health 2023; 51:1069-1076. [PMID: 35876432 PMCID: PMC10599080 DOI: 10.1177/14034948221111264] [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: 11/19/2021] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 11/15/2022]
Abstract
AIMS The Tromsø Study 1979-1980 collected information on alcohol (beer, wine and spirits) consumption frequency and inebriation frequency, and the oldest male participants (aged 50-54 years) were followed for all-cause mortality. This study aimed to identify the impact of habitual alcohol consumption in mid-life on reaching up to 90 years of age. RESULTS Among the study sample of 778, a total of 120 (15.4%) men reached the age of 90. The most common reported alcohol consumption frequency was 'never or a few times a year', and 18.9% of those in this group reached 90 compared with 11.9% of those who reported a more frequent beer consumption. Fifty per cent survival in these groups was 80.5 and 76.9 years, respectively. The pattern was similar for spirits consumption and for inebriation but not for wine consumption. Number of deaths increased gradually with increasing beer and spirits consumption frequency and with inebriation frequency. We observed no J-shape or pattern that revealed a beneficial influence of light alcohol consumption. Daily smoking, physical inactivity, marital status, blood pressure and total cholesterol reduced the contribution of alcohol consumption to a small degree. CONCLUSIONS This study shows that all beer and spirits consumption frequencies in mid-life affect later life and total lifespan. Refraining from alcohol consumption or drinking only a few times a year increases one's chances of living longer, and the chance of reaching 90 years of age is 1.6-fold higher than in those with more frequent alcohol consumption.
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Affiliation(s)
- Tormod Brenn
- Department of Community Medicine, UiT – The Arctic University of Norway, Norway
| | - Ola Løvsletten
- Department of Community Medicine, UiT – The Arctic University of Norway, Norway
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27
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Dharavath RN, Pina-Leblanc C, Tang VM, Sloan ME, Nikolova YS, Pangarov P, Ruocco AC, Shield K, Voineskos D, Blumberger DM, Boileau I, Bozinoff N, Gerretsen P, Vieira E, Melamed OC, Sibille E, Quilty LC, Prevot TD. GABAergic signaling in alcohol use disorder and withdrawal: pathological involvement and therapeutic potential. Front Neural Circuits 2023; 17:1218737. [PMID: 37929054 PMCID: PMC10623140 DOI: 10.3389/fncir.2023.1218737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 09/04/2023] [Indexed: 11/07/2023] Open
Abstract
Alcohol is one of the most widely used substances. Alcohol use accounts for 5.1% of the global disease burden, contributes substantially to societal and economic costs, and leads to approximately 3 million global deaths yearly. Alcohol use disorder (AUD) includes various drinking behavior patterns that lead to short-term or long-lasting effects on health. Ethanol, the main psychoactive molecule acting in alcoholic beverages, directly impacts the GABAergic system, contributing to GABAergic dysregulations that vary depending on the intensity and duration of alcohol consumption. A small number of interventions have been developed that target the GABAergic system, but there are promising future therapeutic avenues to explore. This review provides an overview of the impact of alcohol on the GABAergic system, the current interventions available for AUD that target the GABAergic system, and the novel interventions being explored that in the future could be included among first-line therapies for the treatment of AUD.
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Affiliation(s)
| | - Celeste Pina-Leblanc
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Victor M. Tang
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Addiction Division, CAMH, Toronto, ON, Canada
- Division of Neurosciences and Clinical Translation, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Institute of Mental Health Policy Research, CAMH, Toronto, ON, Canada
| | - Matthew E. Sloan
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
- Addiction Division, CAMH, Toronto, ON, Canada
- Division of Neurosciences and Clinical Translation, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Institute of Mental Health Policy Research, CAMH, Toronto, ON, Canada
| | - Yuliya S. Nikolova
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Peter Pangarov
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
| | - Anthony C. Ruocco
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON, Canada
- Department of Psychology, University of Toronto Scarborough, Toronto, ON, Canada
| | - Kevin Shield
- Institute of Mental Health Policy Research, CAMH, Toronto, ON, Canada
| | - Daphne Voineskos
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON, Canada
| | - Daniel M. Blumberger
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Temerty Centre for Therapeutic Brain Intervention, CAMH, Toronto, ON, Canada
| | - Isabelle Boileau
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Brain Health Imaging Centre, CAMH, Toronto, ON, Canada
| | - Nikki Bozinoff
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Philip Gerretsen
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Brain Health Imaging Centre, CAMH, Toronto, ON, Canada
| | - Erica Vieira
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Osnat C. Melamed
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
| | - Etienne Sibille
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Lena C. Quilty
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Thomas D. Prevot
- Campbell Family Mental Health Research Institute of CAMH, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Jeong Y, Kim SH, Kang G, Yoon HJ, Kim YK, Ha A. Visual Impairment Risk After Alcohol Abstinence in Patients With Newly Diagnosed Open-Angle Glaucoma. JAMA Netw Open 2023; 6:e2338526. [PMID: 37856121 PMCID: PMC10587786 DOI: 10.1001/jamanetworkopen.2023.38526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 09/06/2023] [Indexed: 10/20/2023] Open
Abstract
Importance Recent studies indicate that alcohol consumption is linked to increased intraocular pressure and higher prevalence of open-angle glaucoma (OAG). However, there is insufficient evidence to establish any correlation between alcohol abstinence and improved outcomes in patients with OAG. Objective To evaluate the association between alcohol consumption status (and its changes) and risk of incident severe visual impairment (VI) or blindness in patients with newly diagnosed OAG. Design, Setting, and Participants This retrospective, nationwide, population-based cohort study used the Korean National Health Insurance Service's claims and health examination database to enroll patients who were newly diagnosed with OAG between January 1, 2010, and December 31, 2011, and had been alcohol drinkers before their OAG diagnosis. The cohort was followed up until December 2020. The data were analyzed from February to December 2022. Exposures The patients were categorized into 2 groups based on their post-OAG diagnosis alcohol consumption status: sustainers and abstainers. The risks of severe VI or blindness were compared using weighted Cox proportional hazards regression models along with inverse probability of treatment weighting. Main Outcomes and Measures Incident severe VI or blindness. Results Among 13 643 patients with newly diagnosed OAG (mean [SD] age, 53.7 [11.9] years; 12 066 men [88.4%]) who were drinkers, 2866 (21.0%) quit drinking after the diagnosis. During 91 366 person-years of follow-up, patients abstaining from alcohol after their OAG diagnosis had a lower risk of severe VI or blindness than did those who had sustained drinking (adjusted hazard ratio [AHR] after inverse probability of treatment weighting, 0.63; 95% CI, 0.45-0.87). Among the sustained drinkers, both mild consumption (<105 g/wk; AHR, 1.52; 95% CI, 1.01-2.28) and moderate to heavy consumption (≥105 g/wk; AHR, 1.78; 95% CI, 1.11-2.86) after OAG diagnosis were associated with higher risk of severe VI or blindness relative to abstainers. Frequent drinking (≥4 d/wk) also was associated with a higher risk of severe VI or blindness (AHR, 2.56; 95% CI, 1.52-4.33) compared with abstinence. Conclusions and Relevance In this cohort study of patients with OAG who were drinkers, abstaining from alcohol after an OAG diagnosis was associated with lower risk of severe VI or blindness. These findings suggest that lifestyle interventions, such as alcohol abstinence, could be essential for patients with newly diagnosed OAG.
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Affiliation(s)
- Yoon Jeong
- Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea
| | - Su Hwan Kim
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Goneui Kang
- Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea
- EyeLight Data Science Lab, Seoul National University College of Medicine, Seoul, Korea
| | - Hyung-Jin Yoon
- Medical Bigdata Research Center, Seoul National University College of Medicine, Seoul, Korea
| | - Young Kook Kim
- Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea
- EyeLight Data Science Lab, Seoul National University College of Medicine, Seoul, Korea
- Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea
| | - Ahnul Ha
- Department of Ophthalmology, Jeju National University Hospital, Jeju-si, Korea
- Department of Ophthalmology, Jeju National University College of Medicine, Jeju-si, Korea
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Ahangari M, Gentry AE, Hassan MF, Nguyen TH, Kendler KS, Bacanu SA, Peterson RE, Riley BP, Webb BT. Improving the discovery of rare variants associated with alcohol problems by leveraging machine learning phenotype prediction and functional information. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.11.557163. [PMID: 37745400 PMCID: PMC10515858 DOI: 10.1101/2023.09.11.557163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Alcohol use disorder (AUD) is moderately heritable with significant social and economic impact. Genome-wide association studies (GWAS) have identified common variants associated with AUD, however, rare variant investigations have yet to achieve well-powered sample sizes. In this study, we conducted an interval-based exome-wide analysis of the Alcohol Use Disorder Identification Test Problems subscale (AUDIT-P) using both machine learning (ML) predicted risk and empirical functional weights. This research has been conducted using the UK Biobank Resource (application number 30782.) Filtering the 200k exome release to unrelated individuals of European ancestry resulted in a sample of 147,386 individuals with 51,357 observed and 96,029 unmeasured but predicted AUDIT-P for exome analysis. Sequence Kernel Association Test (SKAT/SKAT-O) was used for rare variant (Minor Allele Frequency (MAF) < 0.01) interval analyses using default and empirical weights. Empirical weights were constructed using annotations found significant by stratified LD Score Regression analysis of predicted AUDIT-P GWAS, providing prior functional weights specific to AUDIT-P. Using only samples with observed AUDIT-P yielded no significantly associated intervals. In contrast, ADH1C and THRA gene intervals were significant (False discovery rate (FDR) <0.05) using default and empirical weights in the predicted AUDIT-P sample, with the most significant association found using predicted AUDIT-P and empirical weights in the ADH1C gene (SKAT-O P Default = 1.06 x 10 -9 and P Empirical weight = 6.25 x 10 -11 ). These findings provide evidence for rare variant association of the ADH1C gene with the AUDIT-P and highlight the successful leveraging of ML to increase effective sample size and prior empirical functional weights based on common variant GWAS data to refine and increase the statistical significance in underpowered phenotypes.
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Funk-White M, Wing D, Eyler LT, Moore AA, Reas ET, McEvoy L. Neuroimaging-Derived Predicted Brain Age and Alcohol Use Among Community-Dwelling Older Adults. Am J Geriatr Psychiatry 2023; 31:669-678. [PMID: 36925380 DOI: 10.1016/j.jagp.2023.02.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 02/22/2023]
Abstract
OBJECTIVES Observational studies have suggested that moderate alcohol use is associated with reduced risk of dementia. However, the nature of this association is not understood. We investigated whether light to moderate alcohol use may be associated with slower brain aging, among a cohort of older community-dwelling adults using a biomarker of brain age based on structural neuroimaging measures. DESIGN Cross-sectional observational study. PARTICIPANTS Well-characterized members of a longitudinal cohort study who underwent neuroimaging. We categorized the 163 participants (mean age 76.7 ± 7.7, 60% women) into current nondrinkers, light drinkers (1-7 drinks/week) moderate drinkers (>7-14 drinks/week), or heavier drinkers (>14 drinks/week). MEASUREMENTS We calculated brain-predicted age using structural MRIs processed with the BrainAgeR program, and calculated the difference between brain-predicted age and chronological age (brain-predicted age difference, or brain-PAD). We used analysis of variance to determine if brain-PAD differed across alcohol groups, controlling for potential confounders. RESULTS Brain-PAD differed across alcohol groups (F[3, 150] = 4.02; p = 0.009) with heavier drinkers showing older brain-PAD than light drinkers (by about 6 years). Brain-PAD did not differ across light, moderate, and nondrinkers. Similar results were obtained after adjusting for potentially mediating health-related measures, and after excluding individuals with a history of heavier drinking. DISCUSSION Among this sample of healthy older adults, consumption of more than 14 drinks/week was associated with a biomarker of advanced brain aging. Light and moderate drinking was not associated with slower brain aging relative to non-drinking.
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Affiliation(s)
- Makaya Funk-White
- Interdisciplinary Research on Substance Use (MFW), University of California San Diego, La Jolla, CA
| | - David Wing
- Herbert Wertheim School of Public Health and Human Longevity Science (DW, LKM), University of California San Diego, La Jolla, CA
| | - Lisa T Eyler
- Department of Psychiatry (LTE), University of California San Diego, La Jolla, CA; Desert-Pacific Mental Illness Research (LTE), Education, and Clinical Center, VA San Diego Healthcare System, San Diego, CA
| | - Alison A Moore
- Division of Geriatrics, Gerontology, and Palliative Care, Department of Medicine (AAM), University of California San Diego, La Jolla, CA
| | - Emilie T Reas
- Department of Neurosciences (ETR), University of California San Diego, La Jolla, CA
| | - Linda McEvoy
- Herbert Wertheim School of Public Health and Human Longevity Science (DW, LKM), University of California San Diego, La Jolla, CA; Department of Radiology (LKM), University of California San Diego, La Jolla, CA
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31
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Lenz B, Gerhardt S, Boroumand-Jazi R, Eichler A, Buchholz VN, Fasching PA, Kornhuber J, Banaschewski T, Flor H, Guldner S, Prignitz M, Nees F. Sex-specific association between prenatal androgenization (second-to-fourth digit length ratio) and frontal brain volumes in adolescents. Eur Arch Psychiatry Clin Neurosci 2023; 273:1243-1254. [PMID: 36449103 PMCID: PMC10449726 DOI: 10.1007/s00406-022-01515-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 10/26/2022] [Indexed: 12/03/2022]
Abstract
Prenatal androgenization associates sex-dependently with behavior and mental health in adolescence and adulthood, including risk-taking, emotionality, substance use, and depression. However, still little is known on how it affects underlying neural correlates, like frontal brain control regions. Thus, we tested whether prenatal androgen load is sex-dependently related to frontal cortex volumes in a sex-balanced adolescent sample. In a cross-sectional magnetic resonance imaging study, we examined 61 adolescents (28 males, 33 females; aged 14 or 16 years) and analyzed associations of frontal brain region volumes with the second-to-fourth digit length ratio (2D:4D), an established marker for prenatal androgenization, using voxel-based morphometry in a region-of-interest approach. Lower 2D:4D (indicative of higher prenatal androgen load) correlated significantly with smaller volumes of the right anterior cingulate cortex (r-ACC; β = 0.45) in male adolescents and with larger volumes of the left inferior frontal gyrus orbital part (l-IFGorb; β = - 0.38) in female adolescents. The regression slopes of 2D:4D on the r-ACC also differed significantly between males and females. The study provides novel evidence that prenatal androgenization may influence the development of the frontal brain in a sex- and frontal brain region-specific manner. These effects might contribute to the well-known sex differences in risk-taking, emotionality, substance use, and depression. Future research is needed to elucidate the role of prenatal androgenization within the biopsychosocial model.
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Affiliation(s)
- Bernd Lenz
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
| | - Sarah Gerhardt
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Rafat Boroumand-Jazi
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anna Eichler
- Department of Child and Adolescent Mental Health, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Verena Nadine Buchholz
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Peter A Fasching
- Department of Obstetrics and Gynecology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Johannes Kornhuber
- Department of Psychiatry and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stella Guldner
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Maren Prignitz
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
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Vallée A. Association between tobacco smoking and alcohol consumption with arterial stiffness. J Clin Hypertens (Greenwich) 2023; 25:757-767. [PMID: 37408141 PMCID: PMC10423766 DOI: 10.1111/jch.14669] [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: 03/23/2023] [Revised: 05/03/2023] [Accepted: 05/06/2023] [Indexed: 07/07/2023]
Abstract
Few investigations have been performed between tobacco smoking, alcohol, and arterial stiffness. The purpose of our study was to investigate the association between smoking use and alcohol with arterial stiffness index (ASI) in a middle-age population. Smoking pack-years and cigarettes per day were defined as alcohol consumption in units/day. Sex associations between smoking and alcohol with ASI were estimated using multiple linear regressions. Interactions and synergistic effects were investigating. 98 039 individuals of the UK Biobank cohort were included (45 457 men and 52 582 women). ASI levels were higher in men than in women (9.91 vs. 8.71 m/s, p < .001), and showed higher relationship to smoking tobacco in multiple linear regression models in women than in men (FDR logworth 78.4 vs. 52.7). The findings revealed that ASI was higher among current smokers than never smokers in both sex and after adjustment for all covariates (in men 10.4 vs. 9.6 and in women 9.5 vs. 8.5 m/s, p < .001). Alcohol consumption per day was positively associated with higher levels of ASI in both sex, but with a less relationship (FDR logworth for men = 2.8, for women = 2.5). An interaction was observed between smoking information and alcohol in men but not in women. Synergistic effects were observed by adding smoking information on alcohol consumption models in men and women (p = .029, p < .001, respectively). Smoking and alcohol were associated with higher ASI in both sex but with a higher relationship among women. The findings suggest the importance of considering smoking and alcohol consumption cessation in cardiovascular diseases prevention.
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Affiliation(s)
- Alexandre Vallée
- Department of Epidemiology‐Data‐BiostatisticsDelegation of Clinical Research and Innovation (DRCI)Foch HospitalSuresnesFrance
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Binnewies J, Nawijn L, Brandmaier AM, Baaré WFC, Boraxbekk CJ, Demnitz N, Drevon CA, Fjell AM, Lindenberger U, Madsen KS, Nyberg L, Topiwala A, Walhovd KB, Ebmeier KP, Penninx BWJH. Lifestyle-related risk factors and their cumulative associations with hippocampal and total grey matter volume across the adult lifespan: A pooled analysis in the European Lifebrain consortium. Brain Res Bull 2023; 200:110692. [PMID: 37336327 DOI: 10.1016/j.brainresbull.2023.110692] [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: 03/30/2023] [Accepted: 06/16/2023] [Indexed: 06/21/2023]
Abstract
BACKGROUND Lifestyle-related risk factors, such as obesity, physical inactivity, short sleep, smoking and alcohol use, have been associated with low hippocampal and total grey matter volumes (GMV). However, these risk factors have mostly been assessed as separate factors, leaving it unknown if variance explained by these factors is overlapping or additive. We investigated associations of five lifestyle-related factors separately and cumulatively with hippocampal and total GMV, pooled across eight European cohorts. METHODS We included 3838 participants aged 18-90 years from eight cohorts of the European Lifebrain consortium. Using individual person data, we performed cross-sectional meta-analyses on associations of presence of lifestyle-related risk factors separately (overweight/obesity, physical inactivity, short sleep, smoking, high alcohol use) as well as a cumulative unhealthy lifestyle score (counting the number of present lifestyle-related risk factors) with FreeSurfer-derived hippocampal volume and total GMV. Lifestyle-related risk factors were defined according to public health guidelines. RESULTS High alcohol use was associated with lower hippocampal volume (r = -0.10, p = 0.021), and overweight/obesity with lower total GMV (r = -0.09, p = 0.001). Other lifestyle-related risk factors were not significantly associated with hippocampal volume or GMV. The cumulative unhealthy lifestyle score was negatively associated with total GMV (r = -0.08, p = 0.001), but not hippocampal volume (r = -0.01, p = 0.625). CONCLUSIONS This large pooled study confirmed the negative association of some lifestyle-related risk factors with hippocampal volume and GMV, although with small effect sizes. Lifestyle factors should not be seen in isolation as there is evidence that having multiple unhealthy lifestyle factors is associated with a linear reduction in overall brain volume.
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Affiliation(s)
- Julia Binnewies
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands.
| | - Laura Nawijn
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany; Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - William F C Baaré
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark; Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden; Institute for Clinical Medicine, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark; Institute of Sports Medicine Copenhagen (ISMC) and Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Naiara Demnitz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Christian A Drevon
- Vitas Ltd. Oslo Science Park & Department of Nutrition, IMB, University of Oslo, Norway
| | - Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Kathrine Skak Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Anya Topiwala
- Nuffield Department of Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Norway; Computational Radiology and Artificial Intelligence, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Norway
| | - Klaus P Ebmeier
- Department of Psychiatry, University of Oxford, United Kingdom
| | - Brenda W J H Penninx
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress program, Amsterdam, the Netherlands
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Stuart KV, Luben RN, Warwick AN, Madjedi KM, Patel PJ, Biradar MI, Sun Z, Chia MA, Pasquale LR, Wiggs JL, Kang JH, Kim J, Aschard H, Tran JH, Lentjes MAH, Foster PJ, Khawaja AP. The Association of Alcohol Consumption with Glaucoma and Related Traits: Findings from the UK Biobank. Ophthalmol Glaucoma 2023; 6:366-379. [PMID: 36481453 PMCID: PMC10239785 DOI: 10.1016/j.ogla.2022.11.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 05/12/2023]
Abstract
PURPOSE To examine the associations of alcohol consumption with glaucoma and related traits, to assess whether a genetic predisposition to glaucoma modified these associations, and to perform Mendelian randomization (MR) experiments to probe causal effects. DESIGN Cross-sectional observational and gene-environment interaction analyses in the UK Biobank. Two-sample MR experiments using summary statistics from large genetic consortia. PARTICIPANTS UK Biobank participants with data on intraocular pressure (IOP) (n = 109 097), OCT-derived macular inner retinal layer thickness measures (n = 46 236) and glaucoma status (n = 173 407). METHODS Participants were categorized according to self-reported drinking behaviors. Quantitative estimates of alcohol intake were derived from touchscreen questionnaires and food composition tables. We performed a 2-step analysis, first comparing categories of alcohol consumption (never, infrequent, regular, and former drinkers) before assessing for a dose-response effect in regular drinkers only. Multivariable linear, logistic, and restricted cubic spline regression, adjusted for key sociodemographic, medical, anthropometric, and lifestyle factors, were used to examine associations. We assessed whether any association was modified by a multitrait glaucoma polygenic risk score. The inverse-variance weighted method was used for the main MR analyses. MAIN OUTCOME MEASURES Intraocular pressure, macular retinal nerve fiber layer (mRNFL) thickness, macular ganglion cell-inner plexiform layer (mGCIPL) thickness, and prevalent glaucoma. RESULTS Compared with infrequent drinkers, regular drinkers had higher IOP (+0.17 mmHg; P < 0.001) and thinner mGCIPL (-0.17 μm; P = 0.049), whereas former drinkers had a higher prevalence of glaucoma (odds ratio, 1.53; P = 0.002). In regular drinkers, alcohol intake was adversely associated with all outcomes in a dose-dependent manner (all P < 0.001). Restricted cubic spline regression analyses suggested nonlinear associations, with apparent threshold effects at approximately 50 g (∼6 UK or 4 US alcoholic units)/week for mRNFL and mGCIPL thickness. Significantly stronger alcohol-IOP associations were observed in participants at higher genetic susceptibility to glaucoma (Pinteraction < 0.001). Mendelian randomization analyses provided evidence for a causal association with mGCIPL thickness. CONCLUSIONS Alcohol intake was consistently and adversely associated with glaucoma and related traits, and at levels below current United Kingdom (< 112 g/week) and United States (women, < 98 g/week; men, < 196 g/week) guidelines. Although we cannot infer causality definitively, these results will be of interest to people with or at risk of glaucoma and their advising physicians. FINANCIAL DISCLOSURE(S) Proprietary or commercial disclosure may be found after the references.
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Affiliation(s)
- Kelsey V Stuart
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
| | - Robert N Luben
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom; MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
| | - Alasdair N Warwick
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom; UCL Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Kian M Madjedi
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom; Department of Ophthalmology, University of Calgary, Calgary, Alberta, Canada
| | - Praveen J Patel
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Mahantesh I Biradar
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Zihan Sun
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Mark A Chia
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Louis R Pasquale
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Jae H Kang
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jihye Kim
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Hugues Aschard
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts; Institut Pasteur, Université Paris Cité, Department of Computational Biology, Paris, France
| | - Jessica H Tran
- Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York
| | | | - Paul J Foster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
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Jiang R, Wu J, Rosenblatt M, Dai W, Rodriguez RX, Sui J, Qi S, Liang Q, Xu B, Meng Q, Calhoun VD, Scheinost D. Elevated C-reactive protein mediates the liver-brain axis: a preliminary study. EBioMedicine 2023; 93:104679. [PMID: 37356206 PMCID: PMC10320521 DOI: 10.1016/j.ebiom.2023.104679] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 06/10/2023] [Accepted: 06/11/2023] [Indexed: 06/27/2023] Open
Abstract
BACKGROUND Chronic liver diseases of all etiologies exist along a spectrum with varying degrees of hepatic fibrosis. Despite accumulating evidence implying associations between liver fibrosis and cognitive functioning, there is limited research exploring the underlying neurobiological factors and the possible mediating role of inflammation on the liver-brain axis. METHODS Using data from the UK Biobank, we examined the cross-sectional association of liver fibrosis (as measured by Fibrosis-4 score) with cognitive functioning and regional grey matter volumes (GMVs) while adjusting for numerous covariates and multiple comparisons. We further performed post-hoc preliminary analysis to investigate the mediating effect of C-reactive protein (CRP) on the association between liver fibrosis and both cognitive functioning and GMVs. FINDINGS We analysed behaviour from up to 447,626 participants (N ranged from 45,055 to 447,533 per specific cognitive metric) 37 years and older. 38,244 participants (age range 44-82 years) had GMV data collected at a median 9-year follow-up. Liver fibrosis showed significant associations with cognitive performance in reasoning, working memory, visual memory, prospective memory, executive function, and processing speed. Subgroup analysis indicated larger effects sizes for symbol digital substitution but smaller effect sizes for trail making in middle-aged people than their old counterparts. Neuroimaging analyses revealed significant associations between liver fibrosis and reduced regional GMVs, primarily in the hippocampus, thalamus, ventral striatum, parahippocampal gyrus, brain stem, and cerebellum. CRP levels were significantly higher in adults with advanced liver fibrosis than those without, indicating an elevated systemic inflammation. Moreover, the serum CRP significantly mediated the effect of liver fibrosis on most cognitive measures and regional GMVs in the hippocampus and brain stem. INTERPRETATION This study provides a well-powered characterization of associations between liver fibrosis, cognitive impairment, and grey matter atrophy. It also highlights the possibly mediating role of systemic inflammation on the liver-brain axis. Early surveillance and prevention of liver diseases may reduce cognitive decline and brain GMV loss. FUNDING National Science Foundation, and National Institutes of Health.
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Affiliation(s)
- Rongtao Jiang
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA.
| | - Jing Wu
- Second Department of Liver Disease Center, Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Matthew Rosenblatt
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Wei Dai
- Department of Biostatistics, Yale University, New Haven, CT 06520, USA
| | - Raimundo X Rodriguez
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA
| | - Jing Sui
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100088, China
| | - Shile Qi
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA
| | - Qinghao Liang
- Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA
| | - Bin Xu
- Second Department of Liver Disease Center, Youan Hospital, Capital Medical University, Beijing, 100069, China.
| | - Qinghua Meng
- Department of Medical Oncology, Beijing You-An Hospital, Capital Medical University, Beijing, 100069, China
| | - Vince D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA; Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA; Interdepartmental Neuroscience Program, Yale University, New Haven, CT 06520, USA; Department of Statistics & Data Science, Yale University, New Haven, CT 06520, USA; Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA; Wu Tsai Institute, Yale University, 100 College Street, New Haven, CT 06510, USA.
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36
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Pérez-Cervera L, De Santis S, Marcos E, Ghorbanzad-Ghaziany Z, Trouvé-Carpena A, Selim MK, Pérez-Ramírez Ú, Pfarr S, Bach P, Halli P, Kiefer F, Moratal D, Kirsch P, Sommer WH, Canals S. Alcohol-induced damage to the fimbria/fornix reduces hippocampal-prefrontal cortex connection during early abstinence. Acta Neuropathol Commun 2023; 11:101. [PMID: 37344865 PMCID: PMC10286362 DOI: 10.1186/s40478-023-01597-8] [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: 05/09/2023] [Accepted: 05/30/2023] [Indexed: 06/23/2023] Open
Abstract
INTRODUCTION Alcohol dependence is characterized by a gradual reduction in cognitive control and inflexibility to contingency changes. The neuroadaptations underlying this aberrant behavior are poorly understood. Using an animal model of alcohol use disorders (AUD) and complementing diffusion-weighted (dw)-MRI with quantitative immunohistochemistry and electrophysiological recordings, we provide causal evidence that chronic intermittent alcohol exposure affects the microstructural integrity of the fimbria/fornix, decreasing myelin basic protein content, and reducing the effective communication from the hippocampus (HC) to the prefrontal cortex (PFC). Using a simple quantitative neural network model, we show how disturbed HC-PFC communication may impede the extinction of maladaptive memories, decreasing flexibility. Finally, combining dw-MRI and psychometric data in AUD patients, we discovered an association between the magnitude of microstructural alteration in the fimbria/fornix and the reduction in cognitive flexibility. Overall, these findings highlight the vulnerability of the fimbria/fornix microstructure in AUD and its potential contribution to alcohol pathophysiology. Fimbria vulnerability to alcohol underlies hippocampal-prefrontal cortex dysfunction and correlates with cognitive impairment.
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Affiliation(s)
- Laura Pérez-Cervera
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Silvia De Santis
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Encarni Marcos
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Zahra Ghorbanzad-Ghaziany
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
- Radiation Science and Biomedical Imaging, University of Sherbrooke, Sherbrooke, Québec, Canada
| | - Alejandro Trouvé-Carpena
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Mohamed Kotb Selim
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain
| | - Úrsula Pérez-Ramírez
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain
| | - Simone Pfarr
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Patrick Bach
- Department of Addiction Medicine, Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Patrick Halli
- Department of Psychology, University of Heidelberg, Heidelberg, Germany
| | - Falk Kiefer
- Department of Addiction Medicine, Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - David Moratal
- Center for Biomaterials and Tissue Engineering, Universitat Politècnica de València, Valencia, Spain
| | - Peter Kirsch
- Department of Psychology, University of Heidelberg, Heidelberg, Germany
| | - Wolfgang H Sommer
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical faculty Mannheim, University of Heidelberg, Mannheim, Germany.
- Department of Addiction Medicine, Department of Clinical Psychology, Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany.
| | - Santiago Canals
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant, Alicante, Spain.
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Vallée A. Association between socio-economic status and estimated atherosclerotic cardiovascular disease risk: results from a middle-aged population-based study. Public Health 2023; 221:1-9. [PMID: 37331308 DOI: 10.1016/j.puhe.2023.05.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/30/2023] [Accepted: 05/13/2023] [Indexed: 06/20/2023]
Abstract
OBJECTIVES The association between cardiovascular disease (CVD) risk and socio-economic status (SES) remains poorly studied. The purpose of this study was to investigate the relationship between SES and estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk among the general UK Biobank population. STUDY DESIGN This was a population-based study. METHODS Among 311,928 volunteers (47.7% men) of the UK Biobank population, SES was assessed by a questionnaire, and ASCVD risk was calculated using pooled cohort equation models. Associations between SES and ASCVD risk were estimated using multiple gender-specific regressions. RESULTS The findings from this study showed that men had higher estimated 10-year ASCVD risk than women (8.6% vs 2.7%; P < 0.001), higher education level (38.3% vs 36.2%; P < 0.001), higher income level (31.0% vs 25.1%; P < 0.001), higher levels of employment (65.4% vs 60.5%; P < 0.001) and higher scores of Townsend deprivation (P < 0.001). Using the multiple logistic regression model, a decreased 10-year ASCVD risk in men was associated with high income level (odds ratio [OR] = 0.64 [95% confidence interval {CI} 0.61-0.68]; P < 0.001), high educational level (OR = 0.71 [95% CI 0.68-0.74]; P < 0.001), higher Townsend deprivation quintile (OR = 0.81 [95% CI 0.78-0.85]; P < 0.001) and employed status (OR = 0.74 [95% CI 0.69-0.80]; P < 0.001). The same results were observed in women, with high income level (OR = 0.68 [95% CI 0.55-0.68]; P < 0.001), high educational level (OR = 0.87 [95% CI 0.82-0.93]; P < 0.001), higher Townsend deprivation quintile (OR = 0.74 [95% CI 0.69-0.80]; P < 0.001) and employed status (OR = 0.53 [95% CI 0.45-0.63]; P < 0.001) being associated with a lower 10-year ASCVD risk. When considering the false discovery rate logworth analysis, SES factors presented a similar contribution to CVD risk as lifestyle factors. CONCLUSIONS Health policies should consider the SES factors identified in this study, in addition to traditional risk factors, when designing prevention campaigns for CVD. Further research is required to improve the ASCVD risk prediction models among different SES variables.
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Affiliation(s)
- Alexandre Vallée
- Department of Epidemiology-Data-Biostatistics, Foch Hospital, Suresnes, 92150, France.
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Park SE, Jeon YJ, Baek HM. Functional and Structural Brain Abnormalities and Clinical Characteristics of Male Patients with Alcohol Dependence. Brain Sci 2023; 13:942. [PMID: 37371420 DOI: 10.3390/brainsci13060942] [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: 05/02/2023] [Revised: 06/09/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023] Open
Abstract
Even though many previous studies have reported structural or functional brain abnormalities in patients with alcohol dependence (ADPs), studies observing the structural and functional abnormalities associated with the clinical characteristics of ADPs utilizing a multimodal approach are still scarce. The aim of this study was to demonstrate structural and functional brain abnormalities and their association with the clinical characteristics of alcoholism in male ADPs. Fifteen healthy male controls (HCs) and 15 male ADPs who had been diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders 5 criteria underwent T1-weighted imaging and resting-state functional magnetic resonance imaging (MRI) scans. The MRI data were postprocessed using statistical parametric mapping for structural analysis and CONN-fMRI functional connectivity (FC) tools for functional analysis. In comparison with male HCs, male ADPs were characterized by significantly reduced volumes of the white matter in the left globus pallidus (GP) (p-FDR < 0.05). This region affected the altered resting-state FC patterns in male ADPs. Interestingly, an abnormal FC in the precuneus and its positive correlation with the alcohol-use disorder identification test score were observed in ADPs (r = 0.546, p = 0.036). Based on the observations, it could be concluded that the GP serves as a neural marker that impacts abnormal functional networks in men with alcohol dependence. These findings have important clinical implications as they provide insights into the neural mechanism underlying the anatomical, functional, and clinical features of alcoholism.
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Affiliation(s)
- Shin-Eui Park
- Lee Gil Ya Cancer & Diabetes Institute, Gachon University, Incheon 21999, Republic of Korea
| | - Yeong-Jae Jeon
- Lee Gil Ya Cancer & Diabetes Institute, Gachon University, Incheon 21999, Republic of Korea
- Department of Health Sciences & Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon 21999, Republic of Korea
| | - Hyeon-Man Baek
- Department of Health Sciences & Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, Incheon 21999, Republic of Korea
- College of Medicine, Gachon University, Incheon 21565, Republic of Korea
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Liang S, Wang N, Wang Y, Wang M, Zhao X, Yang M, Yi H, Zhu M, Wang C, Hang D, Jiang Y, Dai J. Polygenic risk for termination of the 'healthspan' and its interactions with lifestyle factors: A prospective cohort study based on 288,359 participants. Maturitas 2023; 175:107786. [PMID: 37354644 DOI: 10.1016/j.maturitas.2023.107786] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/24/2023] [Accepted: 06/09/2023] [Indexed: 06/26/2023]
Abstract
OBJECTIVES To investigate whether a polygenic risk score (PRS) and its interactions with lifestyle factors are associated with termination of the 'healthspan' (the number of years living without serious diseases or degeneration). DESIGN, EXPOSURES AND PARTICIPANTS Death or the incidence of any of seven independent morbidities (cancer, congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, and diabetes) strongly associated with aging were considered to define the termination of the healthspan. A total of 288,359 healthy participants from the UK Biobank were included in this prospective cohort study to evaluate the associations between PRS, lifestyle, and healthspan. The PRS was generated by weighting 12 healthspan-related genetic loci, which and scores were then categorized into three groups in Cox regression models. A lifestyle index was developed that incorporated body mass index (BMI), alcohol consumption, diet, smoking, and physical activity, and these scores were also categorized into three groups. The risk of termination of the healthspan was calculated across the different PRS and lifestyle index groups using Cox regression models. Interactions were estimated with the marginal effect of lifestyle on the risk of termination of healthspan across values of the moderator PRS using kernel estimation. RESULTS During an average follow-up of 9.83 years, 68,903 healthspan-termination events occurred. It was calculated that people with high polygenic risk could reduce their risk of healthspan termination by 40 % if they maintain a favorable lifestyle. The marginal effect of lifestyle on the risk of healthspan termination increased with growing genetic risk. Smoking and diet showed monotonic changes in opposite directions, while BMI, physical activity, and alcohol had a U-shaped interaction with genetic risk. CONCLUSIONS Favorable lifestyle can attenuate the risk of termination of the healthspan, especially for people with high genetic risk. The improvement afforded by ideal lifestyle behaviors varies for each individual.
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Affiliation(s)
- Shuang Liang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Nanxi Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yifan Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Mei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xiaoyu Zhao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Meiqi Yang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Honggang Yi
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing 211166, China; Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing 211166, China; Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, China
| | - Dong Hang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing 211166, China; Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, China.
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Li H, Xia N. Alcohol and the vasculature: a love-hate relationship? Pflugers Arch 2023:10.1007/s00424-023-02818-8. [PMID: 37165232 DOI: 10.1007/s00424-023-02818-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/20/2023] [Accepted: 04/28/2023] [Indexed: 05/12/2023]
Abstract
Alcohol consumption is a leading risk factor and increases the risk of liver diseases, cancers, tuberculosis, and injuries. The relationship between alcohol use and cardiovascular risk is complex. While it is well established that heavy alcohol use and binge drinking harm cardiovascular health, the effect of light-to-moderate alcohol consumption remains controversial. Observational studies have repeatedly confirmed the U- or J-shaped relationship between alcohol consumption and cardiovascular disease risk, with the lowest risk observed in the light-to-moderate drinking group. However, the protective effect of low-level alcohol has been challenged by recent genetic epidemiological studies with Mendelian randomization. Such studies have their own limitations, and the application of this methodology in studying alcohol has been questioned. Results from the latest Global Burden of Diseases, Injuries, and Risk Factors Study suggest that the impact of alcohol consumption on health depends on the age structure and the distribution of disease burden and underlying causes in a given population. For young adults, even small amounts of alcohol cause heath loss. For older adults facing a high burden of cardiovascular diseases, light-to-moderate alcohol consumption may improve cardiovascular health outcomes. Mechanistically, all types of alcoholic beverages, including wine, spirits, and beer, have been shown to increase the levels of high-density lipoprotein cholesterol and adiponectin, and reduce the level of fibrinogen. Nonalcoholic components of wine, especially polyphenolic compounds like resveratrol, may additionally enhance endothelial nitric oxide production, and provide antioxidant and anti-inflammatory effects.
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Affiliation(s)
- Huige Li
- Department of Pharmacology, Johannes Gutenberg University Medical Center, Langenbeckstr. 1, 55131, Mainz, Germany.
- German Center for Cardiovascular Research (DZHK), Partner Site Rhein-Main, Johannes Gutenberg University Medical Center, Langenbeckstr. 1, 55131, Mainz, Germany.
| | - Ning Xia
- Department of Pharmacology, Johannes Gutenberg University Medical Center, Langenbeckstr. 1, 55131, Mainz, Germany
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Zhang J, Cao X, Li X, Li X, Hao M, Xia Y, Huang H, Jørgensen TSH, Agogo GO, Wang L, Zhang X, Gao X, Liu Z. Associations of Midlife Dietary Patterns with Incident Dementia and Brain Structure: Findings from the UK Biobank Study. Am J Clin Nutr 2023:S0002-9165(23)48900-9. [PMID: 37150507 DOI: 10.1016/j.ajcnut.2023.05.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 04/28/2023] [Accepted: 05/02/2023] [Indexed: 05/09/2023] Open
Abstract
BACKGROUND At present, the results on the associations between dietary patterns and the risk of dementia are inconsistent, and studies on the associations between dietary patterns and brain structures are limited. OBJECTIVE We aimed to investigate the associations of midlife dietary patterns with incident dementia and brain structures. METHODS Based on the UK Biobank Study, we investigated the 1) prospective associations of four healthy dietary pattern indices (healthy plant-based diet index [hPDI], Mediterranean diet score [MDS], Recommended food score [RFS], and Mediterranean-Dietary Approaches to Stop Hypertension Intervention [DASH] Intervention for Neurodegenerative Delay Diet [MIND]) with incident dementia (identified using linked hospital data; N = 114,684; mean age, 56.8 years; 55.5% females) using Cox proportional-hazards regressions and the 2) cross-sectional associations of these dietary pattern indices with brain structures (estimated using magnetic resonance imaging; N = 18,214; mean age, 55.9 years; 53.1% females) using linear regressions. A series of covariates were adjusted, and several sensitivity analyses were conducted. RESULTS A total of 481 (0.42%) participants developed dementia during the average 9.4-year follow-up. Although the associations were not statistically significant, all dietary patterns exerted protective effects against incident dementia (all hazard ratios < 1). Furthermore, higher dietary pattern indices were significantly associated with larger regional brain volumes, including volumes of gray matter in the parietal and temporal cortices and volumes of the hippocampus and thalamus. The main results were confirmed via sensitivity analyses. CONCLUSIONS Greater adherence to hPDI, MDS, RFS, and MIND was individually associated with larger brain volumes in specific regions. This study shows a comprehensive picture of the consistent associations of midlife dietary patterns with the risk of dementia and brain health, underscoring the potential benefits of a healthy diet in the prevention of dementia.
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Affiliation(s)
- Jingyun Zhang
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Xingqi Cao
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Xin Li
- Welch Center for Prevention, Epidemiology, and Clinical Research Department of Epidemiology, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Xueqin Li
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China
| | - Meng Hao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai 200433, China
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - Huiqian Huang
- Clinical Research Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, Zhejiang, China
| | - Terese Sara Høj Jørgensen
- Section of Social Medicine, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, PO Box 2099, Copenhagen DK-1014, Denmark
| | - George O Agogo
- StatsDecide Analytics and Consulting Ltd, P.O.Box 17438-20100, Nakuru, Kenya
| | - Liang Wang
- Department of Public Health, Robbins College of Human Health and Sciences, Baylor University, Waco, TX 76711, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Fudan University, Shanghai 200032, China
| | - Zuyun Liu
- Department of Big Data in Health Science School of Public Health and Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou 310058, Zhejiang, China.
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42
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Seyedsalehi A, Warrier V, Bethlehem RAI, Perry BI, Burgess S, Murray GK. Educational attainment, structural brain reserve and Alzheimer's disease: a Mendelian randomization analysis. Brain 2023; 146:2059-2074. [PMID: 36310536 PMCID: PMC10151197 DOI: 10.1093/brain/awac392] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 09/01/2022] [Accepted: 09/19/2022] [Indexed: 11/13/2022] Open
Abstract
Higher educational attainment is observationally associated with lower risk of Alzheimer's disease. However, the biological mechanisms underpinning this association remain unclear. The protective effect of education on Alzheimer's disease may be mediated via increased brain reserve. We used two-sample Mendelian randomization to explore putative causal relationships between educational attainment, structural brain reserve as proxied by MRI phenotypes and Alzheimer's disease. Summary statistics were obtained from genome-wide association studies of educational attainment (n = 1 131 881), late-onset Alzheimer's disease (35 274 cases, 59 163 controls) and 15 measures of grey or white matter macro- or micro-structure derived from structural or diffusion MRI (nmax = 33 211). We conducted univariable Mendelian randomization analyses to investigate bidirectional associations between (i) educational attainment and Alzheimer's disease; (ii) educational attainment and imaging-derived phenotypes; and (iii) imaging-derived phenotypes and Alzheimer's disease. Multivariable Mendelian randomization was used to assess whether brain structure phenotypes mediated the effect of education on Alzheimer's disease risk. Genetically proxied educational attainment was inversely associated with Alzheimer's disease (odds ratio per standard deviation increase in genetically predicted years of schooling = 0.70, 95% confidence interval 0.60, 0.80). There were positive associations between genetically predicted educational attainment and four cortical metrics (standard deviation units change in imaging phenotype per one standard deviation increase in genetically predicted years of schooling): surface area 0.30 (95% confidence interval 0.20, 0.40); volume 0.29 (95% confidence interval 0.20, 0.37); intrinsic curvature 0.18 (95% confidence interval 0.11, 0.25); local gyrification index 0.21 (95% confidence interval 0.11, 0.31)]; and inverse associations with cortical intracellular volume fraction [-0.09 (95% confidence interval -0.15, -0.03)] and white matter hyperintensities volume [-0.14 (95% confidence interval -0.23, -0.05)]. Genetically proxied levels of surface area, cortical volume and intrinsic curvature were positively associated with educational attainment [standard deviation units change in years of schooling per one standard deviation increase in respective genetically predicted imaging phenotype: 0.13 (95% confidence interval 0.10, 0.16); 0.15 (95% confidence interval 0.11, 0.19) and 0.12 (95% confidence interval 0.04, 0.19)]. We found no evidence of associations between genetically predicted imaging-derived phenotypes and Alzheimer's disease. The inverse association of genetically predicted educational attainment with Alzheimer's disease did not attenuate after adjusting for imaging-derived phenotypes in multivariable analyses. Our results provide support for a protective causal effect of educational attainment on Alzheimer's disease risk, as well as potential bidirectional causal relationships between education and brain macro- and micro-structure. However, we did not find evidence that these structural markers affect risk of Alzheimer's disease. The protective effect of education on Alzheimer's disease may be mediated via other measures of brain reserve not included in the present study, or by alternative mechanisms.
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Affiliation(s)
- Aida Seyedsalehi
- Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0SR, UK
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford OX3 7JX, UK
| | - Varun Warrier
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge CB2 8AH, UK
| | - Richard A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge CB2 8AH, UK
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Benjamin I Perry
- Department of Psychiatry, University of Cambridge, Cambridge CB2 8AH, UK
- CAMEO, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge CB4 1PX, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB2 0BB, UK
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge, Cambridge CB2 8AH, UK
- CAMEO, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge CB4 1PX, UK
- Institute for Molecular Bioscience, University of Queensland, Brisbane 4072, Australia
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43
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Sun W, Cai B, Rao J, Zhou F. Characterization of cerebrovascular changes in mice treated with alcohol by photoacoustic imaging. JOURNAL OF BIOPHOTONICS 2023:e202300038. [PMID: 37078184 DOI: 10.1002/jbio.202300038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/14/2023] [Accepted: 03/17/2023] [Indexed: 05/03/2023]
Abstract
Alcohol has complex effects on cerebrovascular health. Monitoring the pathology of alcohol induced cerebrovascular changes in vivo is essential for understanding the mechanism and developing potential treatment strategies. Here, photoacoustic imaging was employed to examine cerebrovascular changes in mice under the treatment of alcohol at different doses. By analyzing the association of cerebrovascular structure, hemodynamics, neuronal function and corresponding behavior, we found that alcohol affected brain function and behavior in a dose-dependent manner. Low dose of alcohol increased cerebrovascular blood volume and activated neurons, without addictive behaviors and cerebrovascular structure changes. With the dose increased, cerebrovascular blood volume gradually decreased, triggering obviously progressive effects on the immune microenvironment, cerebrovascular structure and addictive behavior. These findings will provide further insights into the characterization of the biphasic effects of alcohol.
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Affiliation(s)
- Weikang Sun
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Bingdong Cai
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Jie Rao
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Feifan Zhou
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
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Xie MY, Huang GL, Lin ZY, Sun XF, Wu CC, Liu YW, Liu LY, Zeng EY. Insufficient evidence to link human exposure to heavy metals with biomarkers of glioma. JOURNAL OF HAZARDOUS MATERIALS 2023; 447:130779. [PMID: 36669416 DOI: 10.1016/j.jhazmat.2023.130779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 01/01/2023] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
Information on molecular mechanisms has implicated potential association between the concentrations of heavy metals and incidences of glioma, but experimental data on human brain tissue remain sparse. To address this data gap, 13 heavy metals were measured in 137 glioma and 35 non-glioma samples collected from 161 alive patients in Guangdong Province, China in 2019 - 2020. All target heavy metals were detected, suggesting they could cross the blood-brain barrier. Concentrations of Mn, Cu, and Zn were higher in glioma than in non-glioma samples, while those of Ni and Se were higher in non-glioma samples, probably suggesting that these five heavy metals are more prone to be altered by changing pathological conditions. In addition, Cu/Zn, Cr/Mn, Cr/Se, Ni/Se, Pb/Mn, and Pb/Se were statistically different between glioma and non-glioma samples by a difference test and a multiple logistic regression model. These concentration ratios may serve as chemical markers to assist pathological analysis for differentiating between tumor and healthy tissues. However, no direct link between heavy metal concentrations or concentration ratios and biomarkers of glioma (i.e., tumor grade, P53, and Ki-67) was observed. No sufficient evidence was obtained to implicate the role of heavy metals in inducing glioma, largely caused by the limited number of samples. Different concentrations and concentration ratios of heavy metals may be the consequence rather than the cause of pathological changes in brain tumors.
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Affiliation(s)
- Meng-Yi Xie
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Guang-Long Huang
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, China; The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, China; Nanfang Glioma Center, Guangzhou 510515, Guangdong, China.
| | - Zhi-Ying Lin
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang 330006, Jiangxi, China
| | - Xiang-Fei Sun
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Chen-Chou Wu
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
| | - Ya-Wei Liu
- Department of Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, China; The Laboratory for Precision Neurosurgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, China
| | - Liang-Ying Liu
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China.
| | - Eddy Y Zeng
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou 511443, China
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45
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Sullivan EV, Pfefferbaum A. Alcohol use disorder: Neuroimaging evidence for accelerated aging of brain morphology and hypothesized contribution to age-related dementia. Alcohol 2023; 107:44-55. [PMID: 35781021 DOI: 10.1016/j.alcohol.2022.06.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 05/31/2022] [Accepted: 06/09/2022] [Indexed: 12/22/2022]
Abstract
Excessive alcohol use curtails longevity by rendering intoxicated individuals vulnerable to heightened risk from accidents, violence, and alcohol poisoning, and makes chronically heavy drinkers vulnerable to acceleration of age-related medical and psychiatric conditions that can be life threatening (Yoon, Chen, Slater, Jung, & White, 2020). Thus, studies of factors influencing age-alcohol interactions must consider the potential that the alcohol use disorder (AUD) population may not represent the oldest ages of the unaffected population and may well have accrued comorbidities associated with both AUD and aging itself. Herein, we focus on the aging of the brains of men and women with AUD, keeping AUD contextual factors in mind. Knowledge of the potential influence of the AUD-associated co-factors on the condition of brain structure may lead to identifying modifiable risk factors to avert physical declines and may reverse or arrest further AUD-related degradation of the brain. In this narrative review, we 1) describe quantitative, controlled studies of brain macrostructure and microstructure of adults with AUD, 2) consider the possibility of recovery of brain integrity through harm reduction with sustained abstinence or reduced drinking, and 3) speculate on the ramifications of accelerated aging in AUD as contributing to age-related dementia.
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Affiliation(s)
- Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
| | - Adolf Pfefferbaum
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States; Center for Health Sciences, SRI International, Menlo Park, CA, United States
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46
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Zhao W, Zhao L, Chang X, Lu X, Tu Y. Elevated dementia risk, cognitive decline, and hippocampal atrophy in multisite chronic pain. Proc Natl Acad Sci U S A 2023; 120:e2215192120. [PMID: 36802440 PMCID: PMC9992778 DOI: 10.1073/pnas.2215192120] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 01/18/2023] [Indexed: 02/23/2023] Open
Abstract
Numerous studies have investigated the impacts of common types of chronic pain (CP) on patients' cognitive function and observed that CP was associated with later dementia. More recently, there is a growing recognition that CP conditions frequently coexist at multiple body sites and may bring more burdens on patients' overall health. However, whether and how multisite CP (MCP) contributes to an increased risk of dementia, compared to single-site CP (SCP) and pain-free (PF), is largely unclear. In the current study, utilizing the UK Biobank cohort, we first investigated dementia risk in individuals (n = 354,943) with different numbers of coexisting CP sites using Cox proportional hazards regression models. We then applied generalized additive models to investigate whether MCP leads to excessive deterioration of participants' (n = 19,116) cognition and brain structure. We found that individuals with MCP were associated with significantly higher dementia risk, broader and faster cognitive impairment, and greater hippocampal atrophy than both PF individuals and those with SCP. Moreover, the detrimental effects of MCP on dementia risk and hippocampal volume aggravated along with the number of coexisting CP sites. Mediation analyses further revealed that the decline of fluid intelligence in MCP individuals was partially mediated by hippocampal atrophy. Our results suggested that cognitive decline and hippocampal atrophy interact biologically and may underlie the increased risk of dementia associated with MCP.
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Affiliation(s)
- Wenhui Zhao
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lei Zhao
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xiangyu Chang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xuejing Lu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yiheng Tu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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Gupta R, Patel V, McGinnis SM, Silbersweig D, Miller MB, Feany MB, Daffner K, Gale SA. Case Study 4: A 68-Year-Old Woman With Progressive Cognitive Decline and Anxiety. J Neuropsychiatry Clin Neurosci 2023; 35:4-11. [PMID: 36633473 DOI: 10.1176/appi.neuropsych.20220151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Rishab Gupta
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Vihar Patel
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Scott M McGinnis
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - David Silbersweig
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Michael B Miller
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Mel B Feany
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Kirk Daffner
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
| | - Seth A Gale
- Department of Psychiatry (Gupta, Silbersweig) and Division of Cognitive and Behavioral Neurology, Department of Neurology (McGinnis, Daffner, Gale), Center for Brain/Mind Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; Division of Neuropathology, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School (Patel, Miller, Feany); Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School (McGinnis)
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Pahk K, Joung C, Kwon HW, Kim S. Chronic physical exercise alleviates stress-associated amygdala metabolic activity in obese women: A prospective serial 18F-FDG PET/CT study. Front Endocrinol (Lausanne) 2023; 13:1046838. [PMID: 36686422 PMCID: PMC9851606 DOI: 10.3389/fendo.2022.1046838] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 12/16/2022] [Indexed: 01/07/2023] Open
Abstract
Background Psychological stress is considered as a major risk factor for cardiovascular disease (CVD). Chronic exercise is known to reduce CVD risk partly through attenuating psychological stress. Obesity has been linked with increased levels of psychological stress. We aimed to prospectively evaluate whether physical exercise could alleviate stress-associated amygdala metabolic activity, assessed by 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in women with obesity. Material and methods A total of 43 participants were enrolled in this study. Twenty-three obese women were participated in a physical exercise program 5 days per week for 3 months. The exercise program consisted of aerobic exercise and resistance training. Serial 18F-FDG PET/CT was taken before the start of physical exercise program (baseline) and after finishing the program (post-exercise). A total of 20 participants who underwent 18F-FDG PET/CT for general health check-up were enrolled as non-obese control group. Brain amygdala activity (AmygA) was calculated as maximum standardized uptake value (SUVmax) of amygdala normalized to mean SUV of temporal lobe. Results Chronic physical exercise significantly reduced AmygA and improved body adiposity and systemic inflammation. AmygA was highest in baseline, intermediate in post-exercise, and lowest in non-obese control group (0.76 ± 0.17, 0.61 ± 0.1, 0.52 ± 0.09, p < 0.001). Furthermore, physical exercise also abrogated the association of AmygA with systemic inflammation. Conclusions Chronic physical exercise reduced stress-associated amygdala metabolic activity and broke its association with systemic inflammation in obese women. This study could explain the putative mechanism underlying the health beneficial effect of exercise on CVD via attenuation of stress neurobiology.
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Affiliation(s)
- Kisoo Pahk
- Department of Nuclear Medicine, Korea University Ansan Hospital, Ansan, South Korea
- Department of Nuclear Medicine, Korea University Anam Hospital, Seoul, South Korea
| | - Chanmin Joung
- Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Hyun Woo Kwon
- Department of Nuclear Medicine, Korea University Anam Hospital, Seoul, South Korea
| | - Sungeun Kim
- Department of Nuclear Medicine, Korea University Anam Hospital, Seoul, South Korea
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49
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Gervasi T, Mandalari G. The Interplay Between Gut Microbiota and Central Nervous System. Curr Pharm Des 2023; 29:3274-3281. [PMID: 38062662 DOI: 10.2174/0113816128264312231101110307] [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: 06/11/2023] [Accepted: 09/14/2023] [Indexed: 01/26/2024]
Abstract
This review highlights the relationships between gastrointestinal microorganisms and the brain. The gut microbiota communicates with the central nervous system through nervous, endocrine, and immune signalling mechanisms. Our brain can modulate the gut microbiota structure and function through the autonomic nervous system, and possibly through neurotransmitters which directly act on bacterial gene expression. In this context, oxidative stress is one the main factors involved in the dysregulation of the gut-brain axis and consequently in neurodegenerative disorders. Several factors influence the susceptibility to oxidative stress by altering the antioxidant status or free oxygen radical generation. Amongst these, of interest is alcohol, a commonly used substance which can negatively influence the central nervous system and gut microbiota, with a key role in the development of neurodegenerative disorder. The role of "psychobiotics" as a novel contrast strategy for preventing and treating disorders caused due to alcohol use and abuse has been investigated.
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Affiliation(s)
- Teresa Gervasi
- Department of Biomedical and Dental Science and Morphofunctional Imaging, University of Messina, Messina 98166, Italy
| | - Giuseppina Mandalari
- Department of Chemical, Biological, Pharmaceutical and Environmental Science, University of Messina, Messina 98166, Italy
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Zhang Z, Zhang S, Huang J, Cao X, Hou C, Luo Z, Wang X, Liu X, Li Q, Zhang X, Guo Y, Xiao H, Xie T, Zhou X. Association between abnormal plasma metabolism and brain atrophy in alcohol-dependent patients. Front Mol Neurosci 2022; 15:999938. [PMID: 36583081 PMCID: PMC9792671 DOI: 10.3389/fnmol.2022.999938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/16/2022] [Indexed: 12/15/2022] Open
Abstract
Objective In this study, we aimed to characterize the plasma metabolic profiles of brain atrophy and alcohol dependence (s) and to identify the underlying pathogenesis of brain atrophy related to alcohol dependence. Methods We acquired the plasma samples of alcohol-dependent patients and performed non-targeted metabolomic profiling analysis to identify alterations of key metabolites in the plasma of BA-ADPs. Machine learning algorithms and bioinformatic analysis were also used to identify predictive biomarkers and investigate their possible roles in brain atrophy related to alcohol dependence. Results A total of 26 plasma metabolites were significantly altered in the BA-ADPs group when compared with a group featuring alcohol-dependent patients without brain atrophy (NBA-ADPs). Nine of these differential metabolites were further identified as potential biomarkers for BA-ADPs. Receiver operating characteristic curves demonstrated that these potential biomarkers exhibited good sensitivity and specificity for distinguishing BA-ADPs from NBA-ADPs. Moreover, metabolic pathway analysis suggested that glycerophospholipid metabolism may be highly involved in the pathogenesis of alcohol-induced brain atrophy. Conclusion This plasma metabolomic study provides a valuable resource for enhancing our understanding of alcohol-induced brain atrophy and offers potential targets for therapeutic intervention.
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Affiliation(s)
- Zheyu Zhang
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sifang Zhang
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jianhua Huang
- Hunan Academy of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Xiaoyun Cao
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Chao Hou
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Zhihong Luo
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Xiaoyan Wang
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Xuejun Liu
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Qiang Li
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Xi Zhang
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Yujun Guo
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Huiqiong Xiao
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Ting Xie
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China
| | - Xuhui Zhou
- Department of Addiction Medicine, Hunan Institute of Mental Health, Brain Hospital of Hunan Province (The Second People’s Hospital of Hunan Province), Changsha, China,The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China,*Correspondence: Xuhui Zhou,
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