Ryan E. Tyler, Carlotta Vizioli, Jennifer J. Barb, Mehdi Farokhnia, Lorenzo Leggio
{"title":"当前饮酒和戒酒酒精使用障碍个体及对照的循环免疫和内分泌标志物","authors":"Ryan E. Tyler, Carlotta Vizioli, Jennifer J. Barb, Mehdi Farokhnia, Lorenzo Leggio","doi":"10.1111/adb.70039","DOIUrl":null,"url":null,"abstract":"<p>Alcohol use disorder (AUD) is associated with changes in endocrine and immune system function. This study is a secondary analysis aimed at investigating changes in circulating immune and endocrine biomarkers in blood samples from three groups: (1) healthy controls (HC, <i>N</i> = 12), (2) AUD—currently drinking, nontreatment seeking (CD, <i>N</i> = 9), and (3) AUD—abstinent, treatment-seeking (AB, <i>N</i> = 10; abstinent for at least 6 weeks). We hypothesized that both immune and endocrine biomarker concentrations would be different in AUD groups compared to healthy controls. Immune biomarkers included IL-8, IL-18, CCL2, TNF-α, IL-1RA, IL-6, and IL-10. Endocrine biomarkers included brain-derived neurotrophic factor (BDNF), glucagon-like peptide 1 (GLP-1), ghrelin, gastric inhibitory peptide (GIP), growth hormone, leptin, and insulin. Biomarker concentrations were compared between the three groups while controlling for age and sex, and associations between biomarker concentrations and behavioral measures were explored. IL-8 concentrations were elevated in AB compared to CD and HC (<i>F</i>(2,29) = 6.33, <i>p</i> = 0.006, ƞ<sub>p</sub><sup>2</sup> = 0.318). BDNF concentrations were lower in AB compared to HC (<i>F</i>(2,30) = 4.34, <i>p</i> = 0.02, ƞ<sub>p</sub><sup>2</sup> = 0.266). GLP-1 concentrations were higher in AB compared to HC (<i>F</i>(2,25) = 4.22, <i>p</i> = 0.03, ƞ<sub>p</sub><sup>2</sup> = 0.287). Exploratory analyses in combined groups showed that measures of past drinking, AUD severity, and anxiety/depression positively correlated with IL-18 and TNF-α and negatively correlated with BDNF. These results demonstrate that circulating concentrations of both immune and endocrine proteins are altered in abstinent individuals with a history of severe AUD (AB group) compared to healthy controls. In contrast, no group differences were observed for any biomarker between the nontreatment seeking, currently drinking people with AUD and the HC group. Our findings highlight the importance of accounting for AUD severity, comorbidities, and treatment-seeking status, especially when studying alcohol-related biomarkers.</p>","PeriodicalId":7289,"journal":{"name":"Addiction Biology","volume":"30 5","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/adb.70039","citationCount":"0","resultStr":"{\"title\":\"Circulating Immune and Endocrine Markers in Currently Drinking and Abstinent Individuals With Alcohol Use Disorder and Controls\",\"authors\":\"Ryan E. Tyler, Carlotta Vizioli, Jennifer J. Barb, Mehdi Farokhnia, Lorenzo Leggio\",\"doi\":\"10.1111/adb.70039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Alcohol use disorder (AUD) is associated with changes in endocrine and immune system function. This study is a secondary analysis aimed at investigating changes in circulating immune and endocrine biomarkers in blood samples from three groups: (1) healthy controls (HC, <i>N</i> = 12), (2) AUD—currently drinking, nontreatment seeking (CD, <i>N</i> = 9), and (3) AUD—abstinent, treatment-seeking (AB, <i>N</i> = 10; abstinent for at least 6 weeks). We hypothesized that both immune and endocrine biomarker concentrations would be different in AUD groups compared to healthy controls. Immune biomarkers included IL-8, IL-18, CCL2, TNF-α, IL-1RA, IL-6, and IL-10. Endocrine biomarkers included brain-derived neurotrophic factor (BDNF), glucagon-like peptide 1 (GLP-1), ghrelin, gastric inhibitory peptide (GIP), growth hormone, leptin, and insulin. Biomarker concentrations were compared between the three groups while controlling for age and sex, and associations between biomarker concentrations and behavioral measures were explored. IL-8 concentrations were elevated in AB compared to CD and HC (<i>F</i>(2,29) = 6.33, <i>p</i> = 0.006, ƞ<sub>p</sub><sup>2</sup> = 0.318). BDNF concentrations were lower in AB compared to HC (<i>F</i>(2,30) = 4.34, <i>p</i> = 0.02, ƞ<sub>p</sub><sup>2</sup> = 0.266). GLP-1 concentrations were higher in AB compared to HC (<i>F</i>(2,25) = 4.22, <i>p</i> = 0.03, ƞ<sub>p</sub><sup>2</sup> = 0.287). Exploratory analyses in combined groups showed that measures of past drinking, AUD severity, and anxiety/depression positively correlated with IL-18 and TNF-α and negatively correlated with BDNF. These results demonstrate that circulating concentrations of both immune and endocrine proteins are altered in abstinent individuals with a history of severe AUD (AB group) compared to healthy controls. In contrast, no group differences were observed for any biomarker between the nontreatment seeking, currently drinking people with AUD and the HC group. 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引用次数: 0
摘要
酒精使用障碍(AUD)与内分泌和免疫系统功能的变化有关。本研究是一项二级分析,旨在调查三组血液样本中循环免疫和内分泌生物标志物的变化:(1)健康对照组(HC, N = 12),(2)目前饮酒,未寻求治疗的澳元(CD, N = 9),(3)戒除澳元,寻求治疗的澳元(AB, N = 10;至少戒酒6周)。我们假设与健康对照组相比,AUD组的免疫和内分泌生物标志物浓度都不同。免疫生物标志物包括IL-8、IL-18、CCL2、TNF-α、IL-1RA、IL-6和IL-10。内分泌生物标志物包括脑源性神经营养因子(BDNF)、胰高血糖素样肽1 (GLP-1)、胃饥饿素(ghrelin)、胃抑制肽(GIP)、生长激素、瘦素和胰岛素。在控制年龄和性别的情况下,比较了三组之间的生物标志物浓度,并探讨了生物标志物浓度与行为测量之间的关系。与CD和HC相比,AB组IL-8浓度升高(F(2,29) = 6.33, p = 0.006, ƞp2 = 0.318)。AB组BDNF浓度低于HC组(F(2,30) = 4.34, p = 0.02, ƞp2 = 0.266)。AB组GLP-1浓度高于HC组(F(2,25) = 4.22, p = 0.03, ƞp2 = 0.287)。联合组的探索性分析显示,过去饮酒、AUD严重程度和焦虑/抑郁与IL-18和TNF-α呈正相关,与BDNF负相关。这些结果表明,与健康对照相比,有严重AUD病史的禁欲个体(AB组)的循环免疫和内分泌蛋白浓度发生了改变。相比之下,在不寻求治疗、目前饮酒的AUD患者和HC组之间,没有观察到任何生物标志物的组间差异。我们的研究结果强调了考虑AUD严重程度、合并症和寻求治疗状态的重要性,特别是在研究与酒精相关的生物标志物时。
Circulating Immune and Endocrine Markers in Currently Drinking and Abstinent Individuals With Alcohol Use Disorder and Controls
Alcohol use disorder (AUD) is associated with changes in endocrine and immune system function. This study is a secondary analysis aimed at investigating changes in circulating immune and endocrine biomarkers in blood samples from three groups: (1) healthy controls (HC, N = 12), (2) AUD—currently drinking, nontreatment seeking (CD, N = 9), and (3) AUD—abstinent, treatment-seeking (AB, N = 10; abstinent for at least 6 weeks). We hypothesized that both immune and endocrine biomarker concentrations would be different in AUD groups compared to healthy controls. Immune biomarkers included IL-8, IL-18, CCL2, TNF-α, IL-1RA, IL-6, and IL-10. Endocrine biomarkers included brain-derived neurotrophic factor (BDNF), glucagon-like peptide 1 (GLP-1), ghrelin, gastric inhibitory peptide (GIP), growth hormone, leptin, and insulin. Biomarker concentrations were compared between the three groups while controlling for age and sex, and associations between biomarker concentrations and behavioral measures were explored. IL-8 concentrations were elevated in AB compared to CD and HC (F(2,29) = 6.33, p = 0.006, ƞp2 = 0.318). BDNF concentrations were lower in AB compared to HC (F(2,30) = 4.34, p = 0.02, ƞp2 = 0.266). GLP-1 concentrations were higher in AB compared to HC (F(2,25) = 4.22, p = 0.03, ƞp2 = 0.287). Exploratory analyses in combined groups showed that measures of past drinking, AUD severity, and anxiety/depression positively correlated with IL-18 and TNF-α and negatively correlated with BDNF. These results demonstrate that circulating concentrations of both immune and endocrine proteins are altered in abstinent individuals with a history of severe AUD (AB group) compared to healthy controls. In contrast, no group differences were observed for any biomarker between the nontreatment seeking, currently drinking people with AUD and the HC group. Our findings highlight the importance of accounting for AUD severity, comorbidities, and treatment-seeking status, especially when studying alcohol-related biomarkers.
期刊介绍:
Addiction Biology is focused on neuroscience contributions and it aims to advance our understanding of the action of drugs of abuse and addictive processes. Papers are accepted in both animal experimentation or clinical research. The content is geared towards behavioral, molecular, genetic, biochemical, neuro-biological and pharmacology aspects of these fields.
Addiction Biology includes peer-reviewed original research reports and reviews.
Addiction Biology is published on behalf of the Society for the Study of Addiction to Alcohol and other Drugs (SSA). Members of the Society for the Study of Addiction receive the Journal as part of their annual membership subscription.