Biochemical Diagnosis in Substance and Non-substance Addiction

Shen, Wenwen; Liu, Huifeng; Xie, Xiaohu; Liu, Haixiong; Zhou, Wenhua

doi:10.1007/978-981-10-5562-1_9

Cited by 8 publications

(8 citation statements)

References 159 publications

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“…Оценка таких маркеров может позволить делать определенные прогнозы и проводить профилактические мероприятия, что в целом направлено на борьбу с распространенностью наркомании. Все биомаркеры можно классифицировать по трем категориям: сами наркотические вещества или продукты их метаболизма, маркеры биохимического ответа на развитие синдрома зависимости, генетические и эпигенетические биомаркеры, предполагающие предрасположенность к развитию зависимости [7]. Одними из наиболее перспективных маркеров являются показатели интенсивности воспалительного процесса и индикаторы повреждения сосудов [8] У испытуемых лиц 1-й группы производили забор крови однократно, во 2-й и 3-й группах производили четырехкратный забор крови -в 1-е сутки поступления в стационар, на 5-6-е и 10-11-е сутки лечения, а также на 15-19-е сутки, накануне выписки из лечебно-профилактического учреждения.…”

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Oxidative stress markers in patients suffering from opioid and psychostimulant dependence syndrome

Быков¹,

Любченко²,

Popov³

et al. 2020

Innovacionnaâ medicina Kubani

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Background. The available data from clinical studies suggest the essential role of free radical processes in the pathogenesis of drug dependence syndrome. At the same time, there is a limited understanding of using markers of oxidative stress in laboratory monitoring and prediction of drug pathology.Objective. To characterize changes in promising indicators of oxidative stress in patients with psychostimulant and opioid dependence syndrome.Material and Methods. The total study population was divided into three groups of men aged 23–35: healthy controls (n = 20), patients with the opioid (n = 20) and psychostimulant (n = 20) dependence syndrome. Patients were analyzed for the oxidative stress markers while being in therapy for addiction syndrome aimed at treating mental disorders and detoxification.Results. The study of antioxidant activity and blood plasma thiol groups did not reveal any significant differences between patients suffering from opioid and psychostimulant addiction. The values of the parameters mentioned above were maintained by 20–30% lower than the control indices throughout the entire study. The nature of changes in erythrocyte suspension parameters was not so unambiguous. Thus, patients with opioid dependence syndrome were characterized by a 91% increase in thiobarbituric acid (TBA)-reactive materials in the setting of a slightly altered state of the glutathione system parameters. Psychostimulant dependent patients revealed relatively low level of the products of biomolecule oxidative modifications in the erythrocytes that is 52% higher compared to the control values. It decreased during the therapy, but glutathione concentration reduction by 33% and an imbalance of glutathione metabolism were determined.Conclusion. The course of the opioid dependence syndrome is characterized by a pronounced intensification of free radical processes while the common trait for psychostimulant abusers is significant changes in the antioxidant defense system. Therefore, in the first case, it is most justified to conduct a laboratory assessment of indicators of oxidative damage, and in the second one, it is also advisable to determine the markers of the state of individual links of the antioxidant system.

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Oxidative stress markers in patients suffering from opioid and psychostimulant dependence syndrome

Быков¹,

Любченко²,

Popov³

et al. 2020

Innovacionnaâ medicina Kubani

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“…The estimated heritability was 43% for tobacco usage and 19 ~ 29% for alcohol dependence [ 8 ]. Addictive disorder has a strong heritable component with an estimated heritability around 30 ~ 70% [ 9 ]. Sex differences in brain have known function to generate differences in the control of gonadotropic hormones, reproductive behavior or cognitive functions [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…Polygenic risk score (PRS) is a sum of risk alleles, weighted by their effect size estimated from previous published genome-wide association study (GWAS). Utilizing identified susceptibility loci, PRS analysis can evaluate the effects of susceptible loci on disease risks and explore the genetic relationships between complex diseases and traits [ 9 ]. PRS has been applied in many studies on neuropsychiatric disorders [ 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the genetic effects of sex hormone traits on the development of mental traits: a polygenic score analysis and gene-environment-wide interaction study in UK Biobank cohort

Liang

Cheng

et al. 2021

Mol Brain

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Objective To evaluate the genetic effects of sex hormone traits on the development of mental traits in middle-aged adults. Methods The SNPs associated with sex hormone traits were derived from a two-stage genome-wide association study (GWAS). Four sex hormone traits were selected in the current study, including sex hormone-binding globulin (SHBG), testosterone, bioavailable testosterone and estradiol. The polygenic risk score (PRS) of sex hormone traits were calculated from individual-level genotype data of the United Kingdom (UK) Biobank cohort. We then used logistic and linear regression models to assess the associations between individual PRS of sex hormone traits and the frequency of alcohol consumption, anxiety, intelligence and so on. Finally, gene-environment-wide interaction study (GEWIS) was performed to detect novel candidate genes interacting with the sex hormone traits on the development of fluid intelligence and the frequency of smoking and alcohol consumption by PLINK2.0. Results We observed positive association between SHBG and the frequency of alcohol consumption (b = 0.0101, p = 3.84 × 10–11) in middle-aged males and females. In addition, estradiol was positively associated with the frequency of alcohol consumption (b = 0.0128, p = 1.96 × 10–8) in middle-aged males. Moreover, bioavailable testosterone was associated with the fluid intelligence (b = − 0.0136, p = 5.74 × 10–5) in middle-aged females. Finally, GEWIS identified one significant loci, Tenascin R (TNR) (rs34633780, p = 3.45 × 10–8) interacting with total testosterone for fluid intelligence. Conclusion Our study results support the genetic effects of sex hormone traits on the development of intelligence and the frequency of alcohol consumption in middle-aged adults in UK.

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“…Polygenic risk score (PRS) is a sum of risk alleles, weighted by their effect size estimated from previous published genome-wide association study (GWAS) . Utilizing identi ed susceptibility loci, PRS analysis can evaluate the effects of susceptible loci on disease risks and explore the genetic relationships between complex diseases and traits [9]. PRS has been applied in many studies of neuropsychiatric disorders [19,20].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the genetic effects of sex hormone on the development of mental traits: a polygenic score analysis and genome-wide genetic interaction analysis in the UK Biobank cohort

Liang¹,

Cheng²,

Ye³

et al. 2020

Preprint

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Objective: To evaluate the genetic effects of sex hormone on the development of mental traits.Methods: The SNPs significantly associated with sex hormone traits were driven from a two-stage genome-wide association study (GWAS). Four sex hormone were selected in this study, including sex hormone-binding globulin (SHBG), testosterone, bioavailable testosterone and estradiol. The polygenic risk scores (PRS) of sex hormone traits were calculated from individual-level genotype data of the UK Biobank cohort. We then used logistic and linear regression models to assess the associations between individual PRS of sex hormone traits and the frequency of alcohol consumption, anxiety, intelligence and so on. Finally, genome-wide genetic interaction study (GWGIS) was performed to detect novel candidate genes interacting with the sex hormone on the development of fluid intelligence and the frequency of smoking and alcohol consumption by PLINK2.0.Results: We observed positive associations between SHBG and the frequency of alcohol consumption (b=0.01, p=3.84×10–11) in males and females. In addition, estradiol was positively associated with the frequency of alcohol consumption (b=0.01, p=1,96×10–8), fluid intelligence (b=0.01, p=1.90×10–2) and the frequency of smoking (b=0.01, p=1.77×10–2) in males. Moreover, SHBG was associated with the frequency of alcohol consumption (b=0.01, p=2.60×10–3), fluid intelligence (b=0.01, p=4.25×10–2) and anxiety (b=-0.01, p=3.79×10–2) in females. Finally, GWGIS identified one significant loci, Tenascin R (TNR) (rs34633780, p=3.45×10–8) interacting with total testosterone for fluid intelligence.Conclusion: Our study results support the genetic effects of sex hormone on the development of intelligence and the frequency of alcohol consumption.

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Biochemical Diagnosis in Substance and Non-substance Addiction

Cited by 8 publications

References 159 publications

Oxidative stress markers in patients suffering from opioid and psychostimulant dependence syndrome

Oxidative stress markers in patients suffering from opioid and psychostimulant dependence syndrome

Evaluating the genetic effects of sex hormone traits on the development of mental traits: a polygenic score analysis and gene-environment-wide interaction study in UK Biobank cohort

Evaluating the genetic effects of sex hormone on the development of mental traits: a polygenic score analysis and genome-wide genetic interaction analysis in the UK Biobank cohort

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