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Lyu N, Wang H, Zhao Q, Fu B, Li J, Yue Z, Huang J, Yang F, Liu H, Zhang L, Li R. Peripheral biomarkers to differentiate bipolar depression from major depressive disorder: a real-world retrospective study. BMC Psychiatry 2024; 24:543. [PMID: 39085797 PMCID: PMC11293032 DOI: 10.1186/s12888-024-05979-7] [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: 02/19/2024] [Accepted: 07/22/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Bipolar depression (BPD) is often misdiagnosed as a major depressive disorder (MDD) in clinical practice, which may be attributed to a lack of robust biomarkers indicative of differentiated diagnosis. This study analysed the differences in various hormones and inflammatory markers to explore peripheral biomarkers that differentiate BPD from MDD patients. METHODS A total of 2,048 BPD and MDD patients were included. A panel of blood tests was performed to determine the levels of sex hormones, stress hormones, and immune-related indicators. Propensity score matching (PSM) was used to control for the effect of potential confounders between two groups and further a receiver operating characteristic (ROC) curve was used to analyse the potential biomarkers for differentiating BPD from MDD. RESULTS Compared to patients with MDD, patients with BPD expressed a longer duration of illness, more hospitalisations within five years, and an earlier age of onset, along with fewer comorbid psychotic symptoms. In terms of biochemical parameters, MDD patients presented higher IgA and IgM levels, while BPD patients featured more elevated neutrophil and monocyte counts. ROC analysis suggested that combined biological indicators and clinical features could moderately distinguish between BPD and MDD. In addition, different biological features exist in BPD and MDD patients of different ages and sexes. CONCLUSIONS Differential peripheral biological parameters were observed between BPD and MDD, which may be age-sex specific, and a combined diagnostic model that integrates clinical characteristics and biochemical indicators has a moderate accuracy in distinguishing BPD from MDD.
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Affiliation(s)
- Nan Lyu
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Han Wang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Qian Zhao
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Bingbing Fu
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China
| | - Jinhong Li
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China
| | - Ziqi Yue
- National Center for Cardiovascular Diseases and Fuwai Hospital, Beijing, China
| | - Juan Huang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China
| | - Fan Yang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China
| | - Hao Liu
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Rena Li
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, 5 Ankang Hutong Road, Xicheng District, Beijing, 100088, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
- Center for Brain Disorders Research, Capital Medical University & Beijing Institute of Brain Disorders, Beijing, China.
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Deng F, Fan X, Liao J, Tang R, Sun X, Lin J, Zhang G, Pan J. The effect of neuroendocrine abnormalities on the risk of psychiatric readmission after hospitalization for bipolar disorder: A retrospective study. Prog Neuropsychopharmacol Biol Psychiatry 2024; 130:110922. [PMID: 38114056 DOI: 10.1016/j.pnpbp.2023.110922] [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: 09/02/2023] [Revised: 12/11/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND The correlation between the endocrine system and bipolar disorder(BD) has been well recognized, yet the influence of neuroendocrine hormones on readmission risk post-hospitalization for BD remains largely unexplored. This retrospective cohort study was to scrutinize the impact of neuroendocrine functionality on the readmission of patients with BD post-hospitalization for mental disorders. METHODS The dataset was derived from the electronic medical records of the First Affiliated Hospital of Jinan University in Guangzhou, China. Both univariate and multivariate logistic regression analysis were conducted on all patients hospitalized for BD, and from 1 January 2017 to October 2022. RESULTS Of the 1110 eligible patients, 83 and 141 patients experienced psychiatric readmissions within 90 and 180 days post-discharge, respectively. Multivariate analysis revealed that high serum TSH levels (aOR = 1.079; 95%CI = 1.003-1.160) and thyroid disease comorbidities (aOR = 2.899; 95%CI = 1.303-6.452) were independently correlated with the risk of 90-day readmission; while increased serum TSH levels (aOR = 1.179; 95%CI = 1.081-1.287) represented a risk factor for 180-day readmission. These results indicate that high serum TSH levels and thyroid disease comorbidities may contribute to an elevated readmission risk in patients with BD following hospitalization. CONCLUSION Routinely evaluating and intervening in thyroid function is crucial in the treatment of BD, as it may aid in preventing re-hospitalization.
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Affiliation(s)
- Fangyi Deng
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China; Department of Psychiatry, Liyuan Hospital, Tongji Medical School, Huazhong University of Science and Technology, Wuhan, Hubei 430077, China
| | - Xiaoxuan Fan
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiwu Liao
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Rui Tang
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xizhe Sun
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jingjing Lin
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Guimei Zhang
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiyang Pan
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, Guangzhou, China.
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Liu J, Teng Z, Xie H, Yuan H, Liu M, Chen J, Tang H, Xiang H, Wu H, Huang J. Prevalence and characteristics of polycystic ovarian syndrome in patients with bipolar disorder. J Affect Disord 2023; 340:387-395. [PMID: 37544485 DOI: 10.1016/j.jad.2023.08.007] [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: 06/01/2023] [Accepted: 08/01/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is frequently accompanied by endocrine disturbances. We compared the prevalence of polycystic ovary syndrome (PCOS) and related reproductive disorders between drug-naïve BD patients and matched healthy controls (HCs) and between drug-naïve BD patients and BD patients with long-term medication, as well as the clinical metabolic correlates among BD patients. METHODS 72 drug-naïve BD patients, 98 HCs, and 72 BD patients with long-term medication were recruited in the study. Menstruation was recorded, reproductive hormone levels and metabolic indicators were measured, and a pelvic ultrasound examination was performed via transvaginal sensor for each participant. PCOS was defined using the Rotterdam criteria. RESULTS After controlling for demographic variables, drug-naïve BD patients presented higher rates of PCOS than the HCs (OR: 3.02, 95 % CI: 1.09-8.36). Regression analysis showed that long-term treatment with valproate (OR: 3.89, 95 % CI: 1.13-13.37), age (OR: 0.37, 95 % CI: 0.14-0.95), and insulin resistance index (OR: 1.73, 95 % CI: 1.10-12.71) were correlated with PCOS in BD patients. CONCLUSIONS Drug-naïve BD patients are susceptible to developing PCOS, and valproate is correlated with increased occurrence and development of PCOS. Therefore, PCOS in BD patients, especially those who use valproate, needs to be investigated and monitored closely by medical personnel.
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Affiliation(s)
- Jieyu Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ziwei Teng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Haiqing Xie
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Yuan
- Department of Stomatology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Minghui Liu
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jindong Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Tang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Xiang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Haishan Wu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jing Huang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Song Y, Wang X, Ma W, Yang Y, Yan S, Sun J, Zhu X, Tang Y. Graves' disease as a driver of depression: a mechanistic insight. Front Endocrinol (Lausanne) 2023; 14:1162445. [PMID: 37152963 PMCID: PMC10157224 DOI: 10.3389/fendo.2023.1162445] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 04/05/2023] [Indexed: 05/09/2023] Open
Abstract
Graves' disease (GD) is characterized by diffuse enlargement and overactivity of the thyroid gland, which may be accompanied by other physical symptoms. Among them, depression can dramatically damage patients' quality of life, yet its prevalence in GD has not received adequate attention. Some studies have established a strong correlation between GD and increased risk of depression, though the data from current study remains limited. The summary of mechanistic insights regarding GD and depression has underpinned possible pathways by which GD contributes to depression. In this review, we first summarized the clinical evidence that supported the increased prevalence of depression by GD. We then concentrated on the mechanistic findings related to the acceleration of depression in the context of GD, as mounting evidence has indicated that GD promotes the development of depression through various mechanisms, including triggering autoimmune responses, inducing hormonal disorders, and influencing the thyroid-gut-microbiome-brain axis. Finally, we briefly presented potential therapeutic approaches to decreasing the risk of depression among patients with GD.
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Affiliation(s)
- Yifei Song
- Beijing University of Chinese Medicine, Beijing, China
| | - Xinying Wang
- Beijing University of Chinese Medicine, Beijing, China
| | - Wenxin Ma
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yan Yang
- Tongling Municipal hospital, Anhui, China
| | - Shuxin Yan
- Beijing University of Chinese Medicine, Beijing, China
| | - Jiapan Sun
- Department of Geriatrics, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong, China
| | - Xiaoyun Zhu
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yang Tang
- Beijing University of Chinese Medicine, Beijing, China
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George S, Maiti R, Mishra A, Ranjan Mishra B, Jena M. Efficacy and safety of supraphysiologic doses of levothyroxine for patients with bipolar depression in adults: A systematic review. J Psychopharmacol 2022; 36:521-530. [PMID: 35574909 DOI: 10.1177/02698811221078758] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND In bipolar disorder (BD), depression is the most difficult-to-treat dimension and available evidence suggests that add-on supraphysiological doses of levothyroxine may be an effective augmenting agent. AIM This systematic review has been conducted to evaluate the efficacy and safety of supraphysiologic doses of levothyroxine in bipolar depression in adults. METHODS After a comprehensive literature search on MEDLINE/PubMed, Scopus, Cochrane databases and International Clinical Trial Registry Platform (ICTRP), reviewers extracted data from eight relevant articles. PRISMA guidelines were followed in the selection, analysis and reporting of findings. Quality assessment was done using the risk of bias assessment and a random effects model was used to estimate effect size. Meta-analysis could not be done due to the lack of randomized, placebo-controlled trials and adequate data. A systematic review was done on eight studies and analysis on the pre-post change in Hamilton depression rating scale score (HDRS) was done for six studies. RESULTS The random model analysis of pooled effects showed a standardized mean difference of HDRS score by 2.62 (95% CI: 2.21-3.04; p < 0.0001). The responder and remission rates were not significant as reported in one study. Markov chain analysis performed in one study revealed that patients in the levothyroxine group had a significantly greater increase in time in the euthymic state and a decrease in the mixed state. In most of the studies, levothyroxine therapy was well tolerated, with no serious adverse events. CONCLUSION Add-on supraphysiological dose of levothyroxine has a potential role in attenuating depressive symptoms in bipolar depression, especially in therapy-resistant BD. PROSPERO REGISTRATION NUMBER CRD42020218456.
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Affiliation(s)
- Seena George
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Bhubaneswar, India
| | - Rituparna Maiti
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Bhubaneswar, India
| | - Archana Mishra
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Biswa Ranjan Mishra
- Department of Psychiatry, All India Institute of Medical Sciences (AIIMS), Bhubaneswar, India
| | - Monalisa Jena
- Department of Pharmacology, All India Institute of Medical Sciences (AIIMS), Bhubaneswar, India
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Dai W, Liu J, Qiu Y, Teng Z, Li S, Huang J, Xiang H, Tang H, Wang B, Chen J, Wu H. Shared postulations between bipolar disorder and polycystic ovary syndrome pathologies. Prog Neuropsychopharmacol Biol Psychiatry 2022; 115:110498. [PMID: 34929323 DOI: 10.1016/j.pnpbp.2021.110498] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 12/06/2021] [Accepted: 12/12/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Women with bipolar disorder (BD) present a high prevalence of polycystic ovary syndrome (PCOS) and other reproductive disorders even before diagnosis or treatment of the disease. Postulations on the potential molecular mechanisms of comorbid PCOS in women with BD remain limited to influence of medications and need further extension. OBJECTIVES This review focuses on evidence suggesting that common metabolic and immune disorders may play an important role in the development of BD and PCOS. RESULTS The literature covered in this review suggests that metabolic and immune disorders, including the dysfunction of the hypothalamic-pituitary-adrenal axis, chronic inflammatory state, gut microbial alterations, adipokine alterations and circadian rhythm disturbance, are observed in patients with BD and PCOS. Such disorders may be responsible for the increased prevalence of PCOS in the BD population and indicate a susceptibility gene overlap between the two diseases. Current evidence supports postulations of common metabolic and immune disorders as endophenotype in BD as well as in PCOS. CONCLUSIONS Metabolic and immune disorders may be responsible for the comorbid PCOS in the BD population. The identification of hallmark metabolic and immune features common to these two diseases will contribute to the clarification of the effect of BD on the reproductive endocrine function and development of symptomatic treatments targeting the biomarkers of the two diseases.
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Affiliation(s)
- Wenyu Dai
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jieyu Liu
- Department of Ultrasound Diagnostic, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yan Qiu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ziwei Teng
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Sujuan Li
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jing Huang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Xiang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Tang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Bolun Wang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jindong Chen
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Haishan Wu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Zhu Y, Ji H, Niu Z, Liu H, Wu X, Yang L, Wang Z, Chen J, Fang Y. Biochemical and Endocrine Parameters for the Discrimination and Calibration of Bipolar Disorder or Major Depressive Disorder. Front Psychiatry 2022; 13:875141. [PMID: 35795028 PMCID: PMC9251015 DOI: 10.3389/fpsyt.2022.875141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 05/13/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Conventional biochemical indexes may have predictive values in clinical identification between bipolar disorder (BD) and major depressive disorder (MDD). METHODS This study included 2,470 (BD/MDD = 1,333/1,137) hospitalized patients in Shanghai as training sets and 2,143 (BD/MDD = 955/1,188) in Hangzhou as test sets. A total of 35 clinical biochemical indexes were tested, including blood cells, immuno-inflammatory factors, liver enzymes, glycemic and lipid parameters, and thyroid and gonadal hormones. A stepwise analysis of a multivariable logistic regression was performed to build a predictive model to identify BD and MDD. RESULTS Most of these biochemical indexes showed significant differences between BD and MDD groups, such as white blood cell (WBC) in the hematopoietic system, uric acid (UA) in immuno-inflammatory factors, direct bilirubin (DBIL) in liver function, lactic dehydrogenase (LDH) in enzymes, and fasting blood glucose (FBG) and low-density lipoprotein (LDL) in glucolipid metabolism (p-values < 0.05). With these predictors for discrimination, we observed the area under the curve (AUC) of the predictive model to distinguish between BD and MDD to be 0.772 among men and 0.793 among women, with the largest AUC of 0.848 in the luteal phase of women. The χ2 values of internal and external validation for male and female datasets were 2.651/10.264 and 10.873/6.822 (p-values < 0.05), respectively. The AUCs of the test sets were 0.696 for males and 0.707 for females. CONCLUSION Discrimination and calibration were satisfactory, with fair-to-good diagnostic accuracy and external calibration capability in the final prediction models. Female patients may have a higher differentiability with a conventional biochemical index than male patients. TRIAL REGISTRATION ICTRP NCT03949218. Registered on 20 November 2018. Retrospectively registered. https://www.clinicaltrials.gov/ct2/show/NCT03949218?id=NCT03949218&rank=1.
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Affiliation(s)
- Yuncheng Zhu
- Division of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai, China.,Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haifeng Ji
- Division of Psychiatry, Shanghai Changning Mental Health Center, Shanghai, China
| | - Zhiang Niu
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongmei Liu
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaohui Wu
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lu Yang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zuowei Wang
- Division of Mood Disorders, Shanghai Hongkou Mental Health Center, Shanghai, China
| | - Jun Chen
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiru Fang
- Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
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Volko CD, Regidor PA, Rohr UD. Model approach for stress induced steroidal hormone cascade changes in severe mental diseases. Horm Mol Biol Clin Investig 2016; 25:157-70. [PMID: 26812880 DOI: 10.1515/hmbci-2015-0038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 11/24/2015] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Stress was described by Cushing and Selye as an adaptation to a foreign stressor by the anterior pituitary increasing ACTH, which stimulates the release of glucocorticoid and mineralocorticoid hormones. The question is raised whether stress can induce additional steroidal hormone cascade changes in severe mental diseases (SMD), since stress is the common denominator. METHODS A systematic literature review was conducted in PubMed, where the steroidal hormone cascade of patients with SMD was compared to the impact of increasing stress on the steroidal hormone cascade (a) in healthy amateur marathon runners with no overtraining; (b) in healthy well-trained elite soldiers of a ranger training unit in North Norway, who were under extreme physical and mental stress, sleep deprivation, and insufficient calories for 1 week; and, (c) in soldiers suffering from post traumatic stress disorder (PTSD), schizophrenia (SI), and bipolar disorders (BD). RESULTS (a) When physical stress is exposed moderately to healthy men and women for 3-5 days, as in the case of amateur marathon runners, only few steroidal hormones are altered. A mild reduction in testosterone, cholesterol and triglycerides is detected in blood and in saliva, but there was no decrease in estradiol. Conversely, there is an increase of the glucocorticoids, aldosterone and cortisol. Cellular immunity, but not specific immunity, is reduced for a short time in these subjects. (b) These changes are also seen in healthy elite soldiers exposed to extreme physical and mental stress but to a somewhat greater extent. For instance, the aldosterone is increased by a factor of three. (c) In SMD, an irreversible effect on the entire steroidal hormone cascade is detected. Hormones at the top of the cascade, such as cholesterol, dehydroepiandrosterone (DHEA), aldosterone and other glucocorticoids, are increased. However, testosterone and estradiol and their metabolites, and other hormones at the lower end of the cascade, seem to be reduced. 1) The rate and extent of reduction of the androgen metabolites may cause a decrease of cellular and specific immunity which can lead to viral and bacterial infections; joint and stomach inflammation; general pain; and allergic reactions. 2) The decrease in testosterone, and estradiol in SMD may have detrimental effects in cell repair as the estradiol metabolite, 2-methoxy-estradiol (2ME2), helps to transforms stem cells into functional cells. As dopamine and 2ME2 are inversely metabolized via various forms of catechol-O-methyl transferase (COMT), well-being and hypertension may be related. 2ME2 is related to vascular endothelial growth factor (VEGF), which regulates blood capillary growth and O2 supply. As reduced O2 is a key marker of stress, the increase of glucocorticoids in all forms of mental and physical stress cannot counterbalance the reduced 2ME2 in cellular and mental stress. The increased cholesterol and triglycerides are related to stroke and infarction, contributing to a reduced life expectancy in SMD between 14 and 20 years. The increase of aldosterone leads to increases in anxiety, edema, and lung infections. DISCUSSION Increasing mental and physical stress is related to systematic deviations in the steroidal hormone cascade in the non-psychotic state, which then may cause life threatening co-morbidities in PTSD, SI, and BD.
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Belvederi Murri M, Prestia D, Mondelli V, Pariante C, Patti S, Olivieri B, Arzani C, Masotti M, Respino M, Antonioli M, Vassallo L, Serafini G, Perna G, Pompili M, Amore M. The HPA axis in bipolar disorder: Systematic review and meta-analysis. Psychoneuroendocrinology 2016; 63:327-42. [PMID: 26547798 DOI: 10.1016/j.psyneuen.2015.10.014] [Citation(s) in RCA: 241] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 10/09/2015] [Accepted: 10/19/2015] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To provide a quantitative and qualitative synthesis of the available evidence on the role of Hypothalamic-Pituitary-Adrenal (HPA) axis in the pathophysiology of Bipolar Disorder (BD). METHODS Meta-analysis and meta-regression of case-control studies examining the levels of cortisol, ACTH, CRH levels. Systematic review of stress reactivity, genetic, molecular and neuroimaging studies related to HPA axis activity in BD. RESULTS Forty-one studies were included in the meta-analyses. BD was associated with significantly increased levels of cortisol (basal and post-dexamethasone) and ACTH, but not of CRH. In the meta-regression, case-control differences in cortisol levels were positively associated with the manic phase (p=0.005) and participants' age (p=0.08), and negatively with antipsychotics use (p=0.001). Reviewed studies suggest that BD is associated with abnormalities of stress-related molecular pathways in several brain areas. Variants of HPA axis-related genes seem not associated with a direct risk of developing BD, but with different clinical presentations. Also, studies on unaffected relatives suggest that HPA axis dysregulation is not an endophenotype of BD, but seems related to environmental risk factors, such as childhood trauma. Progressive HPA axis dysfunction is a putative mechanism that might underlie the clinical and cognitive deterioration of patients with BD. CONCLUSIONS BD is associated with dysfunction of HPA axis activity, with important pathophysiological implications. Targeting HPA axis dysfunctions might be a novel strategy to improve the outcomes of BD.
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Affiliation(s)
- Martino Belvederi Murri
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy; Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, King's College London, London, UK.
| | - Davide Prestia
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
| | - Valeria Mondelli
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, King's College London, London, UK
| | - Carmine Pariante
- Institute of Psychiatry, Psychology and Neuroscience, Department of Psychological Medicine, King's College London, London, UK
| | - Sara Patti
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
| | - Benedetta Olivieri
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
| | - Costanza Arzani
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
| | - Mattia Masotti
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
| | - Matteo Respino
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
| | - Marco Antonioli
- Section of Psychiatry, Department of Neuroscience and Infant-Maternal Science, University of Sassari, Italy
| | - Linda Vassallo
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
| | - Gianluca Serafini
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
| | - Giampaolo Perna
- San Benedetto Hospital, Hermanas Hospitalarias, Department of Clinical Neuroscience, Albese con Cassano, Como, Italy
| | - Maurizio Pompili
- Suicide Prevention Center, Department of Neurosciences, Mental Health and Sensory Organs, Suicide Prevention Center, Sant'Andrea Hospital, Sapienza University of Rome, Italy
| | - Mario Amore
- Section of Psychiatry, Department of Neuroscience, Ophthalmology, Genetics and Infant-Maternal Science, University of Genoa, Italy
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Özerdem A, Tunca Z, Çımrın D, Hıdıroğlu C, Ergör G. Female vulnerability for thyroid function abnormality in bipolar disorder: role of lithium treatment. Bipolar Disord 2014; 16:72-82. [PMID: 24330379 DOI: 10.1111/bdi.12163] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2012] [Accepted: 07/20/2013] [Indexed: 11/29/2022]
Abstract
BACKGROUND Previous studies have provided evidence of subtle thyroid hormone metabolism abnormalities in patients with mood disorders. Although these studies are informative, the precise role of the hypothalamic-pituitary-thyroid axis in bipolar disorder, especially in women, remains unclear. We sought to further corroborate thyroid function in patients with bipolar disorder in comparison to patients with other psychiatric, as well as non-psychiatric, diagnoses. METHODS In this retrospective, cross-sectional, naturalistic study, serum thyroid-stimulating hormone (TSH) levels in a total sample of 3,204 patients were compared. The study sample included patients with bipolar disorder (n = 469), unipolar depression (n = 615), and other psychiatric diagnoses (n = 999), patients from endocrinology clinics (n = 645), and patients from dermatology clinics (n = 476). Analyses were completed using two different normal ranges for TDH: a high normal range (0.4-5.0 μIU/mL) and a low normal range (0.3-3.0 μIU/mL). RESULTS Patients with bipolar disorder showed significantly higher serum TSH levels compared to all other groups. In women, the rate of above normal range TSH was highest in patients with bipolar disorder for both high (5.0 μIU/mL; 12.1%) and low (3.0 μIU/mL; 30.4%) upper normal limits. In patients with bipolar disorder, serum TSH levels did not differ significantly between different mood states. In the lithium-treated patients (n = 240), a significantly lower percentage of women (55.9%) compared to men (71.2%) fell within the 0.3-3.0 μIU/mL normal TSH window (p = 0.016). For the high normal range (0.4-5.0 μIU/mL), serum lithium levels above 0.8 mmol/L were associated with a significantly lower proportion of female patients (59.2%) falling within the normal range than male patients (88.9%). Non-lithium treatment was not associated with a gender difference. CONCLUSIONS Our findings show a higher rate of TSH abnormality in patients with bipolar disorder, particularly those taking lithium, compared to those with other psychiatric and medical conditions. Lithium-associated thyroid dysregulation occurs more frequently in female patients. Using the low normal range TSH values at follow-up can increase sensitivity in recognizing hyperthyroidism in lithium-treated female patients, and help in preventing the development of subclinical hypothyroidism and an adverse course of illness.
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Affiliation(s)
- Ayşegül Özerdem
- Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Department of Neuroscience, Health Sciences Institute, Izmir, Turkey; Brain Dynamics and Research Center, Dokuz Eylul University, Izmir, Turkey; Brain Dynamics, Cognition, and Complex Systems Research Center, Istanbul Kültür University, Istanbul, Turkey
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11
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Alterations in hypothalamus-pituitary-adrenal/thyroid axes and gonadotropin-releasing hormone in the patients with primary insomnia: a clinical research. PLoS One 2013; 8:e71065. [PMID: 23951080 PMCID: PMC3739817 DOI: 10.1371/journal.pone.0071065] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2013] [Accepted: 06/25/2013] [Indexed: 11/19/2022] Open
Abstract
The hypothalamus-pituitary-target gland axis is thought to be linked with insomnia, yet there has been a lack of further systematic studies to prove this. This study included 30 patients with primary insomnia (PI), 30 patients with depression-comorbid insomnia (DCI), and 30 healthy controls for exploring the alterations in the hypothalamus-pituitary-adrenal/thyroid axes’ hormones and gonadotropin-releasing hormone (GnRH). The Pittsburgh Sleep Quality Index was used to evaluate sleep quality in all subjects. The serum concentrations of corticotrophin-releasing hormone (CRH), thyrotrophin-releasing hormone (TRH), GnRH, adrenocorticotropic hormone (ACTH), thyroid stimulating hormone (TSH), cortisol, total triiodothyronine (TT3), and total thyroxine (TT4) in the morning (between 0730 h and 0800 h) were detected. Compared to the controls, all hormonal levels were elevated in the insomniacs, except ACTH and TSH in the PI group. Compared to the DCI patients, the PI patients had higher levels of CRH, cortisol, TT3, and TT4 but lower levels of TRH, GnRH, and ACTH. Spearman’s correlation analysis indicated that CRH, TRH, GnRH, TSH, cortisol, TT4, and TT3 were positively correlated with the severity of insomnia. The linear regression analysis showed that only CRH, GnRH, cortisol, and TT3 were affected by the PSQI scores among all subjects, and only CRH was included in the regression model by the “stepwise” method in the insomnia patients. Our results indicated that PI patients may have over-activity of the hypothalamus-pituitary-adrenal/thyroid axes and an elevated level of GnRH in the morning.
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Hung YP, Liu CJ, Tsai CF, Hung MH, Tzeng CH, Liu CY, Chen TJ. Incidence and risk of mood disorders in patients with breast cancers in Taiwan: a nationwide population-based study. Psychooncology 2013; 22:2227-34. [PMID: 23463734 DOI: 10.1002/pon.3277] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2012] [Revised: 12/21/2012] [Accepted: 02/11/2013] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The objective of this study is to assess the incidence and risk of mood disorders, including major depression, anxiety, and bipolar disorders, in Taiwanese patients after the diagnosis of breast cancer compared with a matched cohort. METHODS From January 2000 to December 2005, 26,629 newly diagnosed breast cancer patients were enrolled by the Taiwan National Health Insurance program database. The control cohort was selected randomly from 1,000,000 National Health Insurance beneficiaries from a population of 21,400,826 enrolled throughout Taiwan. Each patient was matched with one subject without breast cancer by age, sex, and presence of comorbidities with the same diagnosis index date. The diagnosis of mood disorders was defined by compatible International Classification of Diseases, 9th revision, clinical modification codes plus the prescription of antidepressants for at least 30 days. RESULTS The overall incidence rate ratio of mood disorders was 1.33 (95% CI 1.28-1.39, p < 0.001) in the breast cancer cohort compared with the matched cohort. The incidence rate ratios for specific mood disorders were 2.06 for bipolar disorder (95% CI 1.37-3.15 p = 0.0003), 1.94 for major depressive disorder (95% CI 1.76-2.13 p < 0.001), and 1.22 for anxiety (95% CI 1.16-1.27 p < 0.001). Independent risk factors for developing mood disorders included breast cancer, as well as age, hypertension, chronic obstructive pulmonary disease, autoimmune disease, ischemic heart disease, and cerebrovascular disease. CONCLUSIONS Breast cancer is a prominent risk factor for mood disorders, including major depressive disorder, anxiety, and bipolar disorder. The impact is most potent in the first year after diagnosis. Psychological support is a critical issue in these patients.
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Affiliation(s)
- Yi-Ping Hung
- Division of Haematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chia-Jen Liu
- Division of Haematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Department of Internal Medicine, National Yang-Ming University Hospital, Yilan, Taiwan
| | - Chia-Fen Tsai
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Man-Hsin Hung
- Division of Haematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Cheng-Hwai Tzeng
- Division of Haematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chun-Yu Liu
- Division of Haematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Institute of Biopharmaceutical Sciences, National Yang-Ming University, Taipei, Taiwan
| | - Tzeng-Ji Chen
- Institute of Biopharmaceutical Sciences, National Yang-Ming University, Taipei, Taiwan
- Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
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