Literature DB >> 17290801

Genetics of stress response and stress-related disorders.

Marcus Ising1, Florian Holsboer.   

Abstract

The major findings regarding the genetics of stress response and stress-related disorders are: (i) variations in genes involved in the sympathetic system or in the hypothalamic-pituitary-adrenocortical axis are associated with altered stress responses; (ii) genes related to the renin-angiotensin-aldosterone system or inflammation/immune response show associations with cardiovascular disorders; (iii) genes involved in monoaminergic neurotransmitter systems are associated with bipolar disorder and unipolar depression. The vast majority of these association studies followed a conventional hypothesis-driven approach, restricting the gene selection to established candidates. This very conservative approach retarded our understanding of the complex interplay between genetic factors, stress response, and stress-related disorders. Chip-based whole-genome technologies will open up access to new unbiased and statistically efficient approaches that will help to identify new candidate genes, which should be thoroughly validated in clinical and preclinical confirmatory studies. This, together with the use of new text--and information-mining tools, will bring us closer to integrating all the findings into sophisticated models delineating the pathways from genes to stress response and stress-related disorders.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17290801      PMCID: PMC3181835     

Source DB:  PubMed          Journal:  Dialogues Clin Neurosci        ISSN: 1294-8322            Impact factor:   5.986


Recent advances In molecular genetics have stimulated basic and clinical research, and opened up access to hypothesis-driven and unbiased genetic approaches. With knowledge of the genes Involved in complex basic functions like the stress response, and of multifactorial diseases like stress-related disorders, we can Improve our understanding of the mechanisms and moderators Involved In the biology of normal and altered stress response, which In turn will help to Identify new drug targets and Interventions for stress-related disorders.

Stress response and stress-related disorders

Though there is no generally accepted definition, stress Is usually defined as a state of disturbed homeostasis evoking a multiplicity of somatic and mental adaptive reactions, which are summarized as stress response aiming to reconstitute the initial homeostasis or allostasis,[1] ie, a new level of homeostasis after successful adaptation.[2] The pioneer of stress research, Hans Selye, claimed a stimulus-independent nonspeciflcity of the stress response[3,4] which has been criticized by others.[1,5,6] Nevertheless, different kinds of stressors, physical and psychosocial, lead equivocally to a rapid activation of the sympathetic nervous system followed by a stimulation of the hypothalamlc-pitultary-adrenocortical (HPA) axis. Successful coping with stress Implies an appropriate regulation of the stress response and an effective termination when the stress is over or the Individual has adapted to the new conditions. The perception of a stressful situation activates a large number of neuronal circuits In the prefrontal cortex and limbic system, Including the hypothalamus, where the sympathetic nervous system Is activated; this In turn leads to a widespread release of noradrenalin from the post-ganglionic fibers and to the release of adrenalin (and noradrenalin) from the adrenal medulla. Additionally, the parvocellular neurons of the hypothalamus are stimulated to secrete the neuropeptides corticotropin-releasing hormone (CRH) and vasopressin (AVP) Into the portal vessel system to activate the synthesis and release of corticotropin (ACTH) from the anterior pituitary. ACTH, In turn, stimulates the adrenal cortex to synthesize and release glucocorticoids, In particular Cortisol (In humans). These hormones have a multiplicity of functions, which are necessary for the adaptation to acute stress, but can be pathogenic when the organism Is persistently exposed. Therefore, a fine-tuned regulation of the sympathetic system and of the HPA axis is essential to avoid the development of a pathological dysregulation that can progress to stress-related disorders, which can be defined as illnesses whose causation, onset, or development Is substantially Influenced by stress and Its neurobiological correlates. Among others, cardiovascular disorders such as hypertension and coronary artery disease, as well as psychiatric diseases such as bipolar disorder and unipolar depression, are examples of stress-related disorders that will be discussed in this review. The main central structure for the regulation of the autonomic nervous system Is the hypothalamus, which receives Input from cortical and subcortical structures, as well as from peripheral receptors and organs. The primary regulatory elements of the HPA axis are the corticosteroid receptors, glucocorticoid receptors (GR), and mineral corticold receptors[7] (for details see ref 8). As Indicated In the left panel of , activation of the HPA axis leads to the secretion of Cortisol (In humans), which Induces a negative feedback Inhibition to CRH and AVP (at the level of the hypothalamus) and to ACTH (at the level of the anterior pituitary). Impaired corticosteroid signaling results In an attenuation of the negative feedback Inhibition, which could result In the failure to sufficiently suppress CRH and AVP release from the hypothalamus and ACTH from the anterior pituitary, which in turn leads to chronically elevated levels of Cortisol (Figure 1, right panel). The attenuated negative feedback Inhibition can be most sensitively diagnosed with a neuroendocrine challenge test of the HPA axis, the combined dexamethasone (dex)/CRH test.[9] In this test, the stimulating effects of 100 ug Intravenous human CRH upon ACTH and Cortisol are examined under the suppressive action of 1.5 mg of dexamethasone.[10,11] This test is sensitive to impaired GR signaling at the pituitary level, as well as to the effects of Increased secretion of the hypothalamic neuropeptides CRH and AVP, which is a consequence of impaired central GR signaling.[8,12,13] Impaired HPA axis regulation during an acute episode Is the most consistent laboratory finding In depression and bipolar disorder (see refs 13 to 15 for reviews), which corresponds to the concept of stress-related disorders. Accordingly, the majority of depressed patients exhibit an exaggerated ACTH and Cortisol response to the combined dex/CRH test (. These alterations were shown to normalize after successful antidepressant treatment,[11,16-18] suggesting that altered HPA axis regulation and Its normalization Is Involved In the pathogenesis of and recovery from depression, respectively.

Genetics of stress response

Evidence for herltabillty Is a prerequisite for the Involvement of genetic factors. The most efficient way for eval_ uatlng heritability Is twin studies comparing phenotypical similarity between monozygotic and dizygotic twins. Twin data are available for the Trier Social Stress Test (TSST),[19] which Is a standardized procedure for the assessment of the psychosocial stress response. Briefly, this test comprises a public speaking task involving a mock job interview and a mental arithmetic task. Subjects are asked to prepare a presentation for promoting their candidacy for a position that is tailored to their education. After the preparation time, subjects give their presentation in front of a panel of judges who are evaluating the talk. After 5 minutes, subjects are requested to perform an unexpected mental arithmetic task for a further 5 minutes. HPA axis activity (plasma ACTH and Cortisol and/or salivary Cortisol) Is evaluated before and after the tasks as well as during recovery. Federenko and coworkers[20] reported a herltabillty estimate (h2) of 0.32 for the plasma Cortisol response to the TSST in 33 monozygotic and 25 dizygotic twin pairs, suggesting moderate herltabillty, but this Increased up to 0.98 In two repetitions of the test. Herltabillty estimates for ACTH and salivary Cortisol were distinctly smaller In the first test session, but increased markedly In the repeated test sessions. A previous study by KIrschbaum and coworkers[21] with 13 monozygotic and 11 dizygotic twin pairs also reported only marginal herltabillty for the sailvary Cortisol response to a single administration of the TSST. High heritability was observed for salivary Cortisol after stimulation with 100 µg human CRH (without dex suppression) and no herltabillty was found for the salivary Cortisol response to strenuous physical exercise (ergometer activity).[21] No heritability data are available for the combined dex/CRH test. However, In the Munich Vulnerability Study,[22,23] the combined dex/CRH test was conducted In healthy first-degree relatives of patients with a major depressive disorder, who are assumed to carry a genetic vulnerability for affective disorders. These so-called high-risk probands (HRPs) are characterized by a moderately elevated hormonal response to the combined dex/CRH test, which was significantly higher compared with controls without a personal or familial history of psychiatric disorders, but less pronounced compared with the response in acutely depressed patients. Modell and coworkers[24] replicated these findings In still unaffected HRPs who were re-examined in a follow-up Investigation about 4 years later ( suggesting that this trait-like impaired regulation of the HPA system could reflect the genetic vulnerability for affective disorders in these subjects. Despite the statistical evidence for a considerable heritability of the stress response, the number of significant genetic findings Is small, and the conclusiveness rather limited. The findings are summarized in Table I. Due to the Importance of the HPA system for the stress response, which is primarily regulated by GR, the GR gene has been proposed as the primary candidate for the genetic association studies. Significant associations between GR and psychosocial stress response were reported, but only when a haplotype approach is applied[25] or when male subjects are separately analyzed (Kumsta and Wust, 2006; personal communication). Further genetic associations, not yet replicated, are reported for the γ-aminobutyric acid (GABA) A 6 receptor subunit gene[26] and for an nonsynonymous exon single-nucleotide polymorphism (SNP) of the micro-opiold receptor 1 (MOR) gene.[27] Additional evidence for an Involvement of the GR gene in the genetics of the stress response has been provided by two other studies (Table I) employing a low-dose dex suppression test In elderly subjects.[28,29] In this test, plasma Cortisol levels after oral administration of dex are Interpreted as an Indicator for GR sensitivity, which is the major regulator of the stress hormone activity at the pituitary level Two other studies In patients suffering from major depression[30,31] reported associations between the angiotensin-converting enzyme (ACE) gene and the hormonal response to the combined dex suppresslon/CRH stimulation test, which Is the most sensitive challenge test for evaluating stress hormone regulation. ACE is Involved in the so-called reninangiotensin cascade of water regulation, which in turn affects blood volume and blood pressure. A recent study observed an association between the combined dex/CRH test and brain-derived neurotrophic factor (BDNF) in depressed patients, which has been interpreted as evidence for an involvement of a reduced neuroplasticity in the development of disturbed HPA axis regulation.[23] Taken together, there are only a limited number of studies examining the association between candidate genes and the stress response. Besides genes involved in the sympathetic (ACE) or HPA axis-mediated (GR) stress response, further genes constituting different biological systems implicated in emotional regulation[26] and neuroplasticity (BDNF) have been examined. However, the results show only moderate effect sizes, although heritability estimates suggest a strong involvement of genetic factors. Further evidence for genes involved in the regulation of the stress response could be provided by clinical studies investigating genetic vulnerability factors for stress-related disorders. These genetic risk factors are assumed to be responsible for an inappropriate response to repeated and/or continuous stress and thus for mediating the vulnerability for stress-related disorders.

Genetics of stress-related disorders

A large number of diseases can be understood as stress-related disorders, and most of them are characterized by an at least moderate heritability. In this review, we focus on the most prevalent stress-related disorders, hypertension and coronary artery disease, as examples of cardio-vascular disorders, and on bipolar disorder and unipolar depression as examples of psychiatric disorders. Cardiovascular disorders are the leading cause of mortality in the Western world, and are projected to become the leading cause of disease burden worldwide in 2020.[32] Essential hypertension is the most common cardiovascular disorder, with a lifetime prevalence of above 50% in most western communities, affecting approximately f billion individuals worldwide[33]; heritability estimates around 30% have been reported.[34] Myocardial infarction is a serious outcome of coronary artery disease. Twin studies suggest that the risk for myocardial infarction is fairly heritable, with a heredity estimate of 60% in females and 26% in males.[35] A large number of case-control association studies in essential hypertension are available (Table IIa) focussing on a number of candidate gene systems. The majority of findings have been obtained with candidates from the sympathetic system, including adrenergic genes, genes of the renin-angiotensin-aldosterone system (RAAS), and genes involved in vascular regulation. Despite the large number of studies, only a few associations can be regarded as convincing, including the associations with the angiotensinogen (AGT), aldosterone synthase (CYP11B2), and with the renin (REN) gene, all involved in the RAAS. Several studies report gene x gene interaction effects, eg, between the endothelin f (EDN1) and serotonin receptor 2a (5HTR2A) genes,[69] and between the ACE, aldosterone synthase (CYP11B2), and α adductin (ADD1) genes.[42] Several candidate genes from other biological systems (eg, DRD2, GNB3, ACSM3) have been proposed, but no unambiguous conclusion can yet be drawn from the findings from these studies. As for hypertension, a large number of genetic association studies have also been conducted for coronary artery disease. However, the results are more difficult to interpret than in hypertension, since different clinical conditions, including myocardial infarction and arteriosclerosis/stenosis, are integrated as coronary artery disease. Most candidate genes showing replicable associations have been derived from the concept of inflammation as a major risk factor for coronary heart disease. Convincing evidence for genetic associations has been reported for genes involved in innate immunity or genes moderating the inflammatory reaction, such as leukotrienes and lymphotoxins (Table IIb). The number of positive results outweighs the negative findings, and most effect sizes were in an at least moderate range. Nevertheless, not all candidate genes derived from potent endophenotypes show convincing associations. One example of this divergence is lipoprotein A, which has been identified as a potent vulnerability factor for coronary artery disease,[98] even though there is only a little evidence for a genetic association of the lipoprotein A (LPA) gene. Further gene candidates have been derived from studies in mendelian disorders involving premature coronary artery diseases such as familial hypercholesterolemia, familial defective apolipoprotein B (APOB), sitosterolemia, and Tangier disease. An overview of these findings is provided by Watkins and Farrall.[99] However, the translation of these findings to multifactorial cardiovascular disorders is limited. Besides cardiovascular diseases, bipolar disorder and unipolar depression are further examples of burdensome stress-elated disorders with a distinct heritability and a high prevalence in the general population, especially unipolar depression, which is projected to become the second leading cause for disease burden in 2020.[32] Lifetime prevalence of bipolar disorder is around 1% according to population-based epidemiological studies in Europe[100] as well as in the US,[101] while lifetime prevalence of unipolar depression is distinctly higher, with a similar rate of 17% in Europe and in the USA. Twin studies suggest a high heritability for bipolar disorder, with heritability estimates, h2, ranging between 80% and 90%, and a moderate heritability for unipolar depression with h2 between 33% and 42%. [102] Most candidate genes for association studies with bipolar disorder and unipolar depression have been derived from neurotransmitter systems involved in antidepressant drug action. Only some of the findings could be consistently replicated, Including associations between the monoamlnoxldase A (MAOA)[ and catechol-o-methyl-transferase (COMT) gene and bipolar disorder and tryptophan hydroxllase 2 (TPH2) gene and unipolar depression (Table III). Further conclusive evidence exists for an Involvement of the D-aminoacidoxidase activator DAOA (G72)/G30 locus In the susceptibility for bipolar disorder, but also for schizophrenia. A large number of studies have examined the genetic associations between polymorphisms In the serotonin (5-HT) transporter (SLC6A4) gene and bipolar disorder and unipolar depression. Most attention focused on a functional Insertion/deletion polymorphism In the promoter region to SLC6A4, known as 5HTTLPR. Despite several positive results, the number of negative replications Is Increasing, and the relevance of this polymorphism for the susceptibility to bipolar disorder or unipolar depression Is meanwhile being challenged. Besides SLC6A4, P2X ligand-gated Ion channel 7[125] Is the only gene showing replicated effects for susceptibility to both bipolar disorder and unipolar depression. This gene codes for a cation-selective Ion channel expressed In central glial cells as well as In neurons, and Is assumed to regulate Immune function and neurotransmitter release.[136,137] In summary, genetic association studies In stress-related disorders have provided evidence for an involvement of several other genes not identified by basic genetic studies on stress response. Since an inappropriate response to repeated and/or continuous stress mediates the susceptibility to stress-related disorders, these genes are also assumed to moderate the stress response. We have reviewed genetic association studies in hypertension, coronary artery disease, bipolar disorder, and unipolar depression. Due to the large and rapidly increasing number of publications, it is impossible to provide a complete overview. However, we have tried to summarize the most consistent and most frequently discussed findings. It is important to note that different classes of candidate genes have been investigated in the four diagnostic groups reported in this review, despite their common relationship to stress and inappropriate stress response. While candidate genes in hypertension and coronary artery disease are primarily related to the RAAS and to inflammation/immune response, respectively, the majority of candidate genes in bipolar disorder and unipolar depression are derived from monoaminergic neurotransmitter systems. This makes it clear that our actual knowledge of the complex interplay between genetic factors, altered stress response, and stress-related disorders is still limited, and that further research and new approaches are required to improve our understanding of these complex functions.

Conclusion and outlook

The summarized findings do not provide an exhaustive and satisfying answer about the genetics of stress response and stress-related disorders. Many single findings are still unconnected, and the restriction of the gene selection to established candidates has retarded our understanding of the complex interplay between genetic factors, stress response, and stress-related disorders. Sophisticated models, especially those aiming to integrate the findings from basic and clinical research as well as from the different types of stress-related disorders, are required to close the gap in our knowledge. The new chip-based whole-genome technologies, Affymetrix GeneChip and Illumina Genotyping BeadChip, are powerful tools for this endeavor. With this technology, the advantages of an unbiased approach as provided by linkage analysis, and the statistical power of association studies are combined to identify new candidate genes. However, results from unbiased approaches are always preliminary, and require validation in confirmatory studies. This means that independent replication studies are needed, but also clinical studies taking gene x gene and gene x environment interactions into account. For causal inferences, preclinical experiments are required, including (conditional) genetic modification and the development of specific compounds as research tools for the protein targets. Finally, text- and information-mining tools, which are already available but have to be further developed, will be very helpful to integrate all findings into sophisticated models delineating the pathways from genes to stress response and stress-related disorders. There is still a long way to go - but the prerequisites for success are more present than ever.
Table I.

Genetic associations with stress response in human paradigms. GABA, γ-aminobutyric acid; ACTH, adrenocorticotropic hormone; CRH, corticotropin-releasing hormone; HPA, hypothalamic-pituitary-adrenal

GenesChromosomal positionResults
Psychosocial stress response
Glucocorticoid receptor (GR, NR3C1)5q31.3Combined Bcll and N363S polymorphisms associated with salivary cortisol response to psychosocial stress (Trier Social Stress Test, TSST) in male mono- and dizygotic twins[25]; replicated in male unrelated subjects but not in female subjec (Kumsta and Wüst, 2006; personal communication)
GABA(A) α6 receptor subunit (GABRA6)5q34T1521C polymorphism associated with ACTH, cortisol, and blood pressure response to psychosocial stress (TSST) in healthy subject[26]
Opioid receptor µ1 (OPRM1)6q24-q25A118G polymorphism associated with cortisol response to psychosocial stress (modified TSST) in healthy subjects[27]
Endocrine HPA challenge tests
Glucocorticoid receptor (GR, NR3C1)5q31.3Bcll and N363S polymorphisms associated with ACTH and cortisol suppression after oral low-dose dexamethasone (dexamethasone suppression test) in elderly subjects[28,29]
Angiotensin-converting enzyme (ACE)17q23.3Insertion/deletion polymorphism associated with hormonal response to the combined dexamethasone suppression/CRH stimulation test in acute major depression[30,31]
Brain-derived neurotrophic factor (BDNF)11p13Val66Met polymorphism associated with ACTH and cortisol response to the combined dexamethasone suppression/CRH stimulation test in acute depression[23]
Table IIa.

Replicated findings of genetic associations with hypertension. 5-HT, serotonin; SAH, SA hypertension-associated homolog

GenesChromosomal positionResults
Adrenergic system
β2-adrenoceptor (ADRB2)5q31-q32Significant associations reported in Caucasian[36,37] and Asian populations,[38] but also several negative findings[39]
β3adrenoceptor (ADRB3)8p12-p11.2Significant associations reported in Caucasian population[40] and in male type 2 diabetics[41]
Renin-angiotensin-aldosterone system
Angiotensin-converting enzyme (ACE)17q23.3Significant small to moderate effects,[42-45] but also several negative reports[40,46-48]
Angiotensinogen (AGT)1q42-q43Largest number of positive studies,[47,49,50] but also some negative findings[51]
Aldosterone synthase (CYP11B2)8q21-q22More positive[52-56] than negative[57] reports
Angiotensin (AT1) receptor (AGTR1)3q21-q25Mixed results, positive findings[49] as well as negative reports[44]
α Adductin (ADD1)4p16.3Mixed results, positive findings[58] as well as negative reports[51]
Atrial natriuretic peptide (NPPA, NPPB)1p36.2Less positive findings[59] than negative reports[60,61]
Renin (REN)1q32Predominance of positive findings than negative reports[62-64]
11β-hydroxisteroid dehydrogenase 2 (HSD11B2)16q22Weak positive effects are reported[65,66]
Vascular system
Endothelin 1 (EDN1)6p24.1Significant association with blood pressure in obese subjects;[67,68] some evidence for association with hypertension[69]; in interaction with 5-HTR2A
Nitric oxide synthase (NOS3)7q36Less positive findings[70] than negative reports[71,72]
Other genes
D2 receptor (DRD2)11q23Associated with hypertension[73] and with elevated blood pressure in personality disorder[74]
G protein β3 subunit (GNB3)12p23Less positive findings[75] than negative reports[51,54,76]
SAH (ACSM3)16p13.11Mixed resuits, positive findings[77] as well as negative reports[78]
Table IIb.

Replicated findings of genetic associations with coronary artery disease.

GenesChromosomal positionResults
Innate immunity
CD14 molecule (CDI4)5q31.1Significant associations with myocardial infarction,[79-81] but also negative reports[82,83]
Toll-like receptor 4 (TLR4)9q32-q33Significant associations reported for acute coronary events[84] and myocardial infarction[85,86] but not with coronary stenosis[87]
Leukotrienes
Arachidonate 5-lipoxygenase-activating protein (ALOX5AP)13q12Evidence for an association with myocardial infarction[88,89] ateriosclerosis[90]
Leukotriene A4 hydrolase (LTA4H)12q22Significant association with ethnicity-specific risk, for myocardial infarction fferent ethnic samples[91]
Other genes
Lymphotoxine α (LTA)6p21.3Significant association with myocardial infarction in Japanese populations[92,93] as well with arteriosclerosis in Caucasians,[94] but also negative reports[95,96]
Galectin 2 (LGALS2)22q13.1Associated with myocardial infarction[97]; protein interacts with LTA
Table III.

Replicated findings of genetic associations with bipolar disorder and unipolar depression. 5-HT, serotonin

GenesChromosomal positionResults
Bipolar disorder
Monoaminoxidase A (MAOA)5q31.3Significant associations with a modest effect size confirmed by meta-analyses[103,104] suggesting greatest effects in female patients
Catechol-o-methyltransferase (COMT)22q11.21Meta analysis revealed a modest effect size[105,106] and has been suggested as a common susceptibility gene for bipolar disorder and schizophrenia[107]
5-HT transporter (SLC6A4)17q11.1-q12A number of positive studies[108-111] confirmed in meta-analyses,[112,113] but also negative studies for 5-HTTLPR[114] one negative meta-analysis[105]
D-aminoacidoxidase activator DAOA (G72) / G3013q33-q34Several positive reports with polymorphisms in the proximity of these nested, genes,[7,115-117] but also with schizophrenia, suggesting a common susceptibility locus[118]
Brain-derived neurotrophic factor (BDNF)11p13Family-based association studies showed significant effects[119,120] but most replication studies were negative[121-124]; one study suggested association with a subgroup of patients displaying rapid cycling[124]
P2X ligand-gated ion channel 7 (P2RK7)12q24Significant associations reported[125,126]
Unipolar depression
Tryptophan hydroxilase 2 (TPH2)12q21.1Significant associations with major depression[127,128] and suicide[129]
5-HT transporter (SLC6A4)17q11.1-q12More depressive symptoms in carriers of the short 5-HTTLPR allele,[130,131] but also negative reports[114,132]
Glucocorticoid receptor (NR3C1)5q31.3Bcll and ER22/23EK polymorphisms associated with susceptibility to recurrent unipolar depression[133]
P2X ligand-gated ion channel 7 (P2RK7)12q24Significant associations with unipolar depression reported[134,135]
  132 in total

1.  Findings in an independent sample support an association between bipolar affective disorder and the G72/G30 locus on chromosome 13q33.

Authors:  Y-S Chen; N Akula; S D Detera-Wadleigh; T G Schulze; J Thomas; J B Potash; J R DePaulo; M G McInnis; N J Cox; F J McMahon
Journal:  Mol Psychiatry       Date:  2004-01       Impact factor: 15.992

2.  Association analysis between polymorphisms of the lymphotoxin-alpha gene and myocardial infarction in a Japanese population.

Authors:  Yoshitaka Iwanaga; Koh Ono; Shuichi Takagi; Masahiro Terashima; Yoshiaki Tsutsumi; Toshifumi Mannami; Naomi Yasui; Yoichi Goto; Hiroshi Nonogi; Naoharu Iwai
Journal:  Atherosclerosis       Date:  2004-01       Impact factor: 5.162

Review 3.  Genetics of affective (mood) disorders.

Authors:  Nick Craddock; Liz Forty
Journal:  Eur J Hum Genet       Date:  2006-06       Impact factor: 4.246

Review 4.  Genetic susceptibility to coronary artery disease: from promise to progress.

Authors:  Hugh Watkins; Martin Farrall
Journal:  Nat Rev Genet       Date:  2006-03       Impact factor: 53.242

5.  Analysis of single nucleotide polymorphisms in genes in the chromosome 12Q24.31 region points to P2RX7 as a susceptibility gene to bipolar affective disorder.

Authors:  Nicholas Barden; Mario Harvey; Bernard Gagné; Eric Shink; Monique Tremblay; Catherine Raymond; Michel Labbé; André Villeneuve; Denis Rochette; Lise Bordeleau; Herbert Stadler; Florian Holsboer; Bertram Müller-Myhsok
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2006-06-05       Impact factor: 3.568

6.  Polymorphisms of the glucocorticoid receptor gene and major depression.

Authors:  Elisabeth F C van Rossum; Elisabeth B Binder; Matthias Majer; Jan W Koper; Marcus Ising; Sieglinde Modell; Daria Salyakina; Steven W J Lamberts; Florian Holsboer
Journal:  Biol Psychiatry       Date:  2006-04-15       Impact factor: 13.382

7.  Arachidonate 5-lipoxygenase promoter genotype, dietary arachidonic acid, and atherosclerosis.

Authors:  James H Dwyer; Hooman Allayee; Kathleen M Dwyer; Jing Fan; Huiyun Wu; Rebecca Mar; Aldons J Lusis; Margarete Mehrabian
Journal:  N Engl J Med       Date:  2004-01-01       Impact factor: 91.245

8.  Angiotensin converting enzyme I/D, angiotensinogen T174M-M235T and angiotensin II type 1 receptor A1166C gene polymorphisms in Turkish hypertensive patients.

Authors:  Bedia Agachan; Turgay Isbir; Hulya Yilmaz; Emel Akoglu
Journal:  Exp Mol Med       Date:  2003-12-31       Impact factor: 8.718

9.  Genetic variation of brain-derived neurotrophic factor (BDNF) in bipolar disorder: case-control study of over 3000 individuals from the UK.

Authors:  Elaine K Green; Rachel Raybould; Stuart Macgregor; Sally Hyde; Allan H Young; Michael C O'Donovan; Michael J Owen; George Kirov; Lisa Jones; Ian Jones; Nick Craddock
Journal:  Br J Psychiatry       Date:  2006-01       Impact factor: 9.319

10.  Variation at the DAOA/G30 locus influences susceptibility to major mood episodes but not psychosis in schizophrenia and bipolar disorder.

Authors:  Nigel M Williams; Elaine K Green; Stuart Macgregor; Sarah Dwyer; Nadine Norton; Hywel Williams; Rachel Raybould; Detelina Grozeva; Marian Hamshere; Stanley Zammit; Lisa Jones; Alastair Cardno; George Kirov; Ian Jones; Michael C O'Donovan; Michael J Owen; Nick Craddock
Journal:  Arch Gen Psychiatry       Date:  2006-04
View more
  24 in total

1.  Midlife Family Economic Hardship and Later Life Cardiometabolic Health: The Protective Role of Marital Integration.

Authors:  Kandauda A S Wickrama; Catherine Walker O'Neal; Tricia K Neppl
Journal:  Gerontologist       Date:  2019-09-17

Review 2.  Gene-environment interactions in genome-wide association studies: current approaches and new directions.

Authors:  Stacey J Winham; Joanna M Biernacka
Journal:  J Child Psychol Psychiatry       Date:  2013-06-28       Impact factor: 8.982

Review 3.  Angiotensin II AT2 Receptors Contribute to Regulate the Sympathoadrenal and Hormonal Reaction to Stress Stimuli.

Authors:  J M Saavedra; I Armando
Journal:  Cell Mol Neurobiol       Date:  2017-09-07       Impact factor: 5.046

4.  Sex-based differences in gene expression in hippocampus following postnatal lead exposure.

Authors:  J S Schneider; D W Anderson; H Sonnenahalli; R Vadigepalli
Journal:  Toxicol Appl Pharmacol       Date:  2011-08-12       Impact factor: 4.219

5.  Enhanced catecholamine release in mice expressing PKB/SGK-resistant GSK3.

Authors:  Balasaheb Siraskar; Jakob Völkl; Mohamed Siyabeldin E Ahmed; Michael Hierlmeier; Shuchen Gu; Evi Schmid; Christina Leibrock; Michael Föller; Undine E Lang; Florian Lang
Journal:  Pflugers Arch       Date:  2011-09-16       Impact factor: 3.657

6.  Genetic influences on hormonal markers of chronic hypothalamic-pituitary-adrenal function in human hair.

Authors:  E M Tucker-Drob; A D Grotzinger; D A Briley; L E Engelhardt; F D Mann; M Patterson; C Kirschbaum; E K Adam; J A Church; J L Tackett; K P Harden
Journal:  Psychol Med       Date:  2017-01-19       Impact factor: 7.723

7.  Abnormal Left-Hemispheric Sulcal Patterns Correlate with Neurodevelopmental Outcomes in Subjects with Single Ventricular Congenital Heart Disease.

Authors:  Sarah U Morton; Lara Maleyeff; David Wypij; Hyuk Jin Yun; Jane W Newburger; David C Bellinger; Amy E Roberts; Michael J Rivkin; J G Seidman; Christine E Seidman; P Ellen Grant; Kiho Im
Journal:  Cereb Cortex       Date:  2020-03-21       Impact factor: 5.357

8.  Elevated cortisol in older adults with generalized anxiety disorder is reduced by treatment: a placebo-controlled evaluation of escitalopram.

Authors:  Eric J Lenze; Rose C Mantella; Peichang Shi; Alison M Goate; Petra Nowotny; Meryl A Butters; Carmen Andreescu; Paul A Thompson; Bruce L Rollman
Journal:  Am J Geriatr Psychiatry       Date:  2011-05       Impact factor: 4.105

9.  Stress-induced differences in primary and secondary resistance against bacterial sepsis corresponds with diverse corticotropin releasing hormone receptor expression by pulmonary CD11c+ MHC II+ and CD11c- MHC II+ APCs.

Authors:  Xavier F Gonzales; Aniket Deshmukh; Mark Pulse; Khaisha Johnson; Harlan P Jones
Journal:  Brain Behav Immun       Date:  2007-12-31       Impact factor: 7.217

10.  Components of the cannabinoid system in the dorsal periaqueductal gray are related to resting heart rate.

Authors:  Caron Dean; Cecilia J Hillard; Jeanne L Seagard; Francis A Hopp; Quinn H Hogan
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2016-06-08       Impact factor: 3.619

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.