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Heinrich M, Sieg M, Kruppa J, Nürnberg P, Schreier PH, Heilmann-Heimbach S, Hoffmann P, Nöthen MM, Janke J, Pischon T, Slooter AJC, Winterer G, Spies CD. Association between genetic variants of the cholinergic system and postoperative delirium and cognitive dysfunction in elderly patients. BMC Med Genomics 2021; 14:248. [PMID: 34674705 PMCID: PMC8529799 DOI: 10.1186/s12920-021-01071-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 08/19/2021] [Indexed: 11/18/2022] Open
Abstract
Background Postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) are frequent and serious complications after surgery. We aim to investigate the association between genetic variants in cholinergic candidate genes according to the Kyoto encyclopedia of genes and genomes - pathway: cholinergic neurotransmission with the development of POD or POCD in elderly patients. Methods This analysis is part of the European BioCog project (www.biocog.eu), a prospective multicenter observational study with elderly surgical patients. Patients with a Mini-Mental-State-Examination score ≤ 23 points were excluded. POD was assessed up to seven days after surgery using the Nursing Delirium Screening Scale, Confusion Assessment Method and a patient chart review. POCD was assessed three months after surgery with a neuropsychological test battery. Genotyping was performed on the Illumina Infinium Global Screening Array. Associations with POD and POCD were analyzed using logistic regression analysis, adjusted for age, comorbidities and duration of anesthesia (for POCD analysis additionally for education). Odds ratios (OR) refer to minor allele counts (0, 1, 2). Results 745 patients could be included in the POD analysis, and 452 in the POCD analysis. The rate of POD within this group was 20.8% (155 patients), and the rate of POCD was 10.2% (46 patients). In a candidate gene approach three genetic variants of the cholinergic genes CHRM2 and CHRM4 were associated with POD (OR [95% confidence interval], rs8191992: 0.61[0.46; 0.80]; rs8191992: 1.60[1.22; 2.09]; rs2067482: 1.64[1.10; 2.44]). No associations were found for POCD. Conclusions We found an association between genetic variants of CHRM2 and CHRM4 and POD. Further studies are needed to investigate whether disturbances in acetylcholine release and synaptic plasticity are involved in the development of POD. Trial registration: ClinicalTrials.gov: NCT02265263. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-021-01071-1.
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Affiliation(s)
- Maria Heinrich
- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Miriam Sieg
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Medical Informatics, Charitéplatz 1, 10117, Berlin, Germany.,QUEST Center for Transforming Biomedical Research, Berlin Institute of Health, Berlin, Germany
| | - Jochen Kruppa
- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Berlin, Germany.,Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Medical Informatics, Charitéplatz 1, 10117, Berlin, Germany
| | - Peter Nürnberg
- Institute of Genetics, University of Cologne, Cologne, Germany.,Atlas Biolabs GmbH, Berlin, Germany
| | - Peter H Schreier
- Institute of Genetics, University of Cologne, Cologne, Germany.,Pharmaimage Biomarker Solutions GmbH, Berlin, Germany
| | - Stefanie Heilmann-Heimbach
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Per Hoffmann
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany.,Human Genomics Research Group, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Markus M Nöthen
- Institute of Human Genetics, School of Medicine and University Hospital Bonn, University of Bonn, Bonn, Germany
| | - Jürgen Janke
- MDC/BIH Biobank, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Tobias Pischon
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,MDC/BIH Biobank, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Molecular Epidemiology Research Group, Max-Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.,Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Arjen J C Slooter
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.,Department of Neurology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Georg Winterer
- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Berlin, Germany.,Pharmaimage Biomarker Solutions GmbH, Berlin, Germany.,Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, ECRC Experimental and Clinical Research Center, Lindenberger Weg 80, 13125, Berlin, Germany
| | - Claudia D Spies
- Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Berlin, Germany.
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Miyauchi M, Kishida I, Suda A, Shiraishi Y, Hattori S, Fujibayashi M, Taguri M, Ishii C, Ishii N, Moritani T, Hirayasu Y. Association of the Cholinergic Muscarinic M2 Receptor with Autonomic Nervous System Activity in Patients with Schizophrenia on High-Dose Antipsychotics. Neuropsychobiology 2017; 74:60-67. [PMID: 27923235 DOI: 10.1159/000452770] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2016] [Accepted: 10/11/2016] [Indexed: 11/19/2022]
Abstract
BACKGROUND Patients with schizophrenia have abnormal autonomic nervous system (ANS) activity compared with the general population. One reason for this difference is the muscarinic affinity for antipsychotic drugs; therefore, single nucleotide polymorphisms (SNPs) of the muscarinic receptor gene influence this ANS dysfunction. This study sought to determine the effect of SNPs of the cholinergic muscarinic receptor (CHRM) gene on ANS activity in patients with schizophrenia receiving antipsychotic drugs. METHODS A total of 173 Japanese patients with schizophrenia were included in this study. Heart rate variability (HRV) was measured as an index of ANS activity. SNPs in CHRM1 (rs542269 and rs2075748), CHRM2 (rs324640, rs8191992, rs1824024, and rs7810473), and CHRM3 (rs3738435, rs4620530, and rs6429157) were genotyped using the TaqMan® method. Patients were grouped according to standard equivalent conversions of chlorpromazine (CP) into a high-CP group (HG; ≥1,000 mg) and a low-CP group (LG; <1,000 mg). ANS activity was compared between the groups. In addition, we compared the total, low-frequency (LF), high-frequency (HF), and LF/HF components of the patients' HRV, and the genotype of the SNPs in both the HG and LG groups. Bonferroni correction was applied for multiple comparisons, and the Bonferroni-corrected critical p value was <0.005. RESULTS The A allele of the CHRM2 rs8191992 polymorphism in HG was associated with decreased ANS activity. CONCLUSION Our results show reduced ANS activity in association with the CHRM2 rs8191992 polymorphism in patients with schizophrenia on high-dose antipsychotics. CHRM2 polymorphisms may play an important role in ANS activity in patients with schizophrenia.
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Affiliation(s)
- Masatoshi Miyauchi
- Department of Psychiatry, Yokohama City University School of Medicine, Yokohama, Japan
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Recruiting egg donors online: an analysis of in vitro fertilization clinic and agency websites' adherence to American Society for Reproductive Medicine guidelines. Fertil Steril 2012; 98:995-1000. [PMID: 22840240 DOI: 10.1016/j.fertnstert.2012.06.052] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2011] [Revised: 05/25/2012] [Accepted: 06/27/2012] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To examine compliance with ethical guidelines of the American Society for Reproductive Medicine (ASRM) regarding trait-based payment variation, presentation of risks, and minimum recruitment age. DESIGN In June 2010, we systematically examined 207 websites, of which 102 were egg donor agency or IVF clinic websites that both recruited online and displayed compensation amounts. SETTING The Internet. PATIENT(S) None. INTERVENTION(S) Not applicable. MAIN OUTCOME MEASURE(S) Mention of increased payment for particular donor traits, recruitment age less than 21 years, noting risks to donors. RESULT(S) Of the 102 sites, considerable numbers were noncompliant with ASRM's guidelines that prohibit varying compensation based on a donor's traits (34%), and recommend an age of 21 years or older (41%), and presentation of risks alongside compensation (56%). Trait-based payment variation was associated with being an agency rather than a clinic, location in the West, not being endorsed by ASRM or Society of Assisted Reproductive Technology (SART), and referring to ASRM's guidelines about compensation. Of sites mentioning traits, prior donation success was the most commonly paid for trait (64%). CONCLUSION(S) Our data, the first to systematically analyze agency and clinic websites reveal that many do not follow ASRM's guidelines. These data have critical implications for policy, practice, and research, suggesting needs for consideration of possible changes in guidelines, and/or improvements in compliance and monitoring by ASRM or others.
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Abstract
A wide range of polymorphisms have been reported in muscarinic receptor subtype genes, mostly in M₁ and M₂ and, to a lesser extent, M₃ receptors. Most studies linking such genetic variability to phenotype have been performed for brain functions, but a more limited amount of information is also available for cardiac and airway function. Unfortunately, for none of the phenotypes under investigation a robust association with genotype has emerged. Moreover, it remains mostly unclear whether a reported association indicates a causative role of the polymorphism under investigation or merely a role as indicator of other polymorphisms affecting expression and/or function of the receptor. Also, most data on genotype-phenotype associations of muscarinic receptor subtypes are based on cross-sectional samples. Mechanistic studies linking polymorphisms to molecular, cellular, and tissue functions are largely missing. Finally, studies on a possible impact of muscarinic receptor polymorphisms on drug responsiveness are also largely missing. Thus, the field of genomics of muscarinic receptor subtypes is still in an early stage and a considerably greater number of studies will be required to judge the role of muscarinic receptor gene variability in physiology, pathophysiology, and drug treatment.
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Affiliation(s)
- Martin C Michel
- Department of Pharmacology and Pharmacotherapy, Academic Medical Center, University of Amsterdam, The Netherlands.
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Hendershot CS, Bryan AD, Ewing SWF, Claus ED, Hutchison KE. Preliminary evidence for associations of CHRM2 with substance use and disinhibition in adolescence. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2011; 39:671-81. [PMID: 21494862 DOI: 10.1007/s10802-011-9511-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Evidence for shared heritable influences across domains of substance use suggests that some genetic variants influence broad risk for externalizing behaviors. Theories of externalizing psychopathology also suggest that genetic liability for substance use manifests as temperamental risk factors, particularly those related to behavioral disinhibition, during adolescence. The cholinergic muscarinic receptor 2 gene (CHRM2) is a promising candidate for studying genetic influences on broad-based risk for externalizing traits. This study examined a candidate CHRM2 polymorphism (rs1455858) in relation to substance use and personality measures of disinhibition in a sample of high-risk adolescents (n = 124). Bivariate analyses and structural equation modeling (SEM) evaluated associations of rs1455858 with measures of drug involvement (alcohol, tobacco and marijuana) and disinhibition (indexed by impulsivity and sensation seeking scores). Bivariate analyses showed significant associations of CHRM2 with several behavioral phenotypes. In SEM analyses CHRM2 related significantly to latent measures of substance use and disinhibition; additionally, disinhibition mediated the association of CHRM2 with substance use. These results suggest that CHRM2 variants are potentially relevant for adolescent substance use and that temperamental risk factors could contribute to these associations.
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Dick DM, Meyers JL, Latendresse SJ, Creemers HE, Lansford JE, Pettit GS, Bates JE, Dodge KA, Budde J, Goate A, Buitelaar JK, Ormel J, Verhulst FC, Huizink AC. CHRM2, parental monitoring, and adolescent externalizing behavior: evidence for gene-environment interaction. Psychol Sci 2011; 22:481-9. [PMID: 21441226 DOI: 10.1177/0956797611403318] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Psychologists, with their long-standing tradition of studying mechanistic processes, can make important contributions to further characterizing the risk associated with genes identified as influencing risk for psychiatric disorders. We report one such effort with respect to CHRM2, which codes for the cholinergic muscarinic 2 receptor and was of interest originally for its association with alcohol dependence. We tested for association between CHRM2 and prospectively measured externalizing behavior in a longitudinal, community-based sample of adolescents, as well as for moderation of this association by parental monitoring. We found evidence for an interaction in which the association between the genotype and externalizing behavior was stronger in environments with lower parental monitoring. There was also suggestion of a crossover effect, in which the genotype associated with the highest levels of externalizing behavior under low parental monitoring had the lowest levels of externalizing behavior at the extreme high end of parental monitoring. The difficulties involved in distinguishing mechanisms of gene-environment interaction are discussed.
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Affiliation(s)
- Danielle M Dick
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23298-0126, USA.
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Abstract
There has been an explosion of interest in studying gene-environment interactions (GxE) as they relate to the development of psychopathology. In this article, I review different methodologies to study gene-environment interaction, providing an overview of methods from animal and human studies and illustrations of gene-environment interactions detected using these various methodologies. Gene-environment interaction studies that examine genetic influences as modeled latently (e.g., from family, twin, and adoption studies) are covered, as well as studies of measured genotypes. Importantly, the explosion of interest in gene-environment interactions has raised a number of challenges, including difficulties with differentiating various types of interactions, power, and the scaling of environmental measures, which have profound implications for detecting gene-environment interactions. Taking research on gene-environment interactions to the next level will necessitate close collaborations between psychologists and geneticists so that each field can take advantage of the knowledge base of the other.
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Affiliation(s)
- Danielle M Dick
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia 23298-0126, USA.
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