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Zou T, Yang M, Chen Z, Xie H, Huang J, Qin Y, Liu F, Chen H, Xu X, Chen J, Tang H, Xiang H, Wu H, Liu M, Luo W, Liu J, Teng Z. Association among abnormal glycolipids, reproductive hormones, and cognitive dysfunction in female patients with bipolar disorder. BMC Psychiatry 2024; 24:385. [PMID: 38773397 PMCID: PMC11110249 DOI: 10.1186/s12888-024-05831-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 05/09/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Patients with bipolar disorder (BD) show abnormalities in glucolipid metabolism and reproductive hormone levels, which are of concern in women with BD. This study was dedicated to investigating the glucolipid and reproductive hormone levels of female patients, and to preliminarily investigating their relationships with cognition. METHODS A total of 58 unmedicated female BD patients, 61 stable-medicated female BD patients, and 63 healthy controls (HC) were recruited in this study. Serum glycolipid indexes and reproductive hormones were measured. Cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and the Stroop Color-Word Test (Stroop test). RESULTS Patients with BD showed significant cognitive impairment (p < 0.05), which was not affected by medication. Triglycerides (TG), luteinizing hormone (LH), and high-density lipoprotein cholesterol (HDL-c) were altered in stable-medicated BD patients. In addition, regression analysis showed that progesterone (PRGE) and prolactin (PRL) were negatively associated with cognitive performance in stable-medicated BD patients. CONCLUSIONS Female BD patients may have cognitive deficits and abnormal levels of glycolipids and reproductive hormones. And abnormal levels of glycolipids and reproductive hormones may be associated with cognitive dysfunction in female BD patients.
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Affiliation(s)
- Tianxiang Zou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Min Yang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Zhuohui Chen
- Department of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, 410008, China
| | - Haiqing Xie
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Jing Huang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Yue Qin
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Furu Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Haiyu Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Xuelei Xu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Jindong Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for 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, and National Center for 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, and National Center for 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, and National Center for Mental Disorders, 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
| | - Wenbo Luo
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Jieyu Liu
- 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, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
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Maksyutynska K, Stogios N, Prasad F, Gill J, Hamza Z, De R, Smith E, Horta A, Goldstein BI, Korczak D, Graff-Guerrero A, Hahn MK, Agarwal SM. Neurocognitive correlates of metabolic dysregulation in individuals with mood disorders: a systematic review and meta-analysis. Psychol Med 2024; 54:1245-1271. [PMID: 38450447 DOI: 10.1017/s0033291724000345] [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] [Indexed: 03/08/2024]
Abstract
Individuals with mood disorders are predisposed to metabolic dysfunction, while those with metabolic dysregulation such as diabetes and obesity experience more severe depressive symptoms. Both metabolic dysfunction and mood disorders are independently associated with cognitive deficits. Therefore, given their close association, this study aimed to explore the association between metabolic dysfunction in individuals with mood disorders in relation to cognitive outcomes. A comprehensive search comprised of these three domains was carried out; a random-effects meta-analysis pooling mean cognitive outcomes was conducted (PROSPERO ID: CRD42022295765). Sixty-three studies were included in this review; 26 were synthesized in a quantitative meta-analysis. Comorbid metabolic dysregulation was associated with significantly lower global cognition among individuals with mood disorders. These trends were significant within each mood disorder subgroup, including major depressive disorder, bipolar disorder, and self-report depression/depressive symptoms. Type 2 diabetes was associated with the lowest cognitive performance in individuals with mood disorders, followed by peripheral insulin resistance, body mass index ⩾25 kg/m2, and metabolic syndrome. Significant reduction in scores was also observed among individual cognitive domains (in descending order) of working memory, attention, executive function, processing speed, verbal memory, and visual memory. These findings demonstrate the detrimental effects of comorbid metabolic dysfunction in individuals with mood disorders. Further research is required to understand the underlying mechanisms connecting mood disorders, metabolism, and cognition.
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Affiliation(s)
- Kateryna Maksyutynska
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Nicolette Stogios
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Femin Prasad
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Jashan Gill
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Faculty of Science, McMaster University, Hamilton, ON, Canada
| | - Zaineb Hamza
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Riddhita De
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Emily Smith
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Angelina Horta
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Benjamin I Goldstein
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada
| | - Daphne Korczak
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Hospital for Sick Children, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Margaret K Hahn
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Sri Mahavir Agarwal
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Schizophrenia Division, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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Hiller JK, Jangmo A, Tesli MS, Jaholkowski PP, Hoseth EZ, Steen NE, Haram M. Lipid Biomarker Research in Bipolar Disorder: A Scoping Review of Trends, Challenges, and Future Directions. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:594-604. [PMID: 37881590 PMCID: PMC10593953 DOI: 10.1016/j.bpsgos.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 07/10/2023] [Accepted: 07/13/2023] [Indexed: 10/27/2023] Open
Abstract
Bipolar disorder (BD) is a disabling disorder with heterogeneous symptom profiles and trajectories. Like many other neuropsychiatric disorders, clinical decision making related to diagnoses and choice of treatment is based on clinical assessments alone, and risk prediction for treatment success or resistance at an individual level remains sparse. An enormous effort to add biological markers to this risk prediction is ongoing. The role of lipids in normal brain functioning is well established, and several hypotheses about the role of lipids in the pathogenesis of neuropsychiatric disorders, including BD, have been made. The frequent comorbidity between neuropsychiatric disorders and cardiovascular disease, the genetic overlap of risk genes for severe mental disorders and genes involved in lipid regulation, and the lipid-altering effects of antipsychotics and mood stabilizers indicate that lipids could hold promise as biomarkers for neuropsychiatric disorders, including BD. To date, reviews of lipid biomarkers in schizophrenia and major depression have noted caveats for future investigations, while reviews of lipid biomarker research in BD is missing. In the current scoping review, we present a comprehensive overview of trends in previous research on lipid biomarkers in BD. The current literature varies greatly in the phenotypes investigated and study designs, leading to divergent findings. Small sample size; potential confounders related to physical activity, nutritional status, and medication use; and cross-sectional designs were frequently reported limitations. Future research may benefit from pivoting toward utilization of newer laboratory techniques such as lipidomics, but consistent use of study methods across cohorts is also needed.
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Affiliation(s)
| | - Andreas Jangmo
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Martin Steen Tesli
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Centre for Research and Education in Forensic Psychiatry, Department of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Piotr Pawel Jaholkowski
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Eva Zsuzsanna Hoseth
- Clinic of Mental Health and Addiction, Møre and Romsdal Health Trust, Kristiansund, Norway
| | - Nils Eiel Steen
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Marit Haram
- Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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Leser B, Dalkner N, Tmava-Berisha A, Fellendorf FT, Unterrainer HF, Stross T, Maget A, Platzer M, Bengesser SA, Häussl A, Zwigl I, Birner A, Queissner R, Stix K, Wels L, Schönthaler EMD, Lenger M, Schwerdtfeger AR, Zelzer S, Herrmann M, Reininghaus EZ. The Influence of Vitamin D Status on Cognitive Ability in Patients with Bipolar Disorder and Healthy Controls. Nutrients 2023; 15:4111. [PMID: 37836395 PMCID: PMC10574501 DOI: 10.3390/nu15194111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/13/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
Recent evidence on the association between vitamin D and cognition in mentally healthy individuals is inconsistent. Furthermore, the link between vitamin D and cognitive ability in individuals with bipolar disorder has not been studied yet. Thus, we aimed to investigate the association between 25-hydroxyvitamin D (25(OH)D), 24,25 dihydroxyvitamin D (24,25(OH)2D, the vitamin D metabolite ratio (VMR) and cognition in a cohort of euthymic patients with bipolar disorder. Vitamin D metabolites were measured simultaneously by liquid-chromatography tandem mass-spectrometry in serum samples from 86 outpatients with bipolar disorder and 93 healthy controls. Neither the inactive precursor 25(OH)D, nor the primary vitamin D catabolite 24,25(OH)2D, or the vitamin D metabolite ratio were significantly associated with the domains "attention", "memory", or "executive function" in individuals with bipolar disorder and healthy controls. Further, no vitamin D deficiency effect or interaction group × vitamin D deficiency was found in the cognitive domain scores. In summary, the present study does not support vitamin D metabolism as a modulating factor of cognitive function in euthymic BD patients. Considering the current study's cross-sectional design, future research should expand these results in a longitudinal setting and include additional aspects of mental health, such as manic or depressive symptoms, long-term illness course and psychopharmacological treatment.
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Affiliation(s)
- Bernadette Leser
- Department of Psychology, University of Graz, 8010 Graz, Austria; (B.L.); (A.R.S.)
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Adelina Tmava-Berisha
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Frederike T. Fellendorf
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | | | - Tatjana Stross
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Alexander Maget
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Martina Platzer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Susanne A. Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Alfred Häussl
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Ina Zwigl
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Robert Queissner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Katharina Stix
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Linda Wels
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Elena M. D. Schönthaler
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | - Melanie Lenger
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
| | | | - Sieglinde Zelzer
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria; (S.Z.); (M.H.)
| | - Markus Herrmann
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria; (S.Z.); (M.H.)
| | - Eva Z. Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, 8036 Graz, Austria; (A.T.-B.); (F.T.F.); (T.S.); (A.M.); (M.P.); (S.A.B.); (A.H.); (I.Z.); (A.B.); (R.Q.); (K.S.); (E.M.D.S.); (M.L.); (E.Z.R.)
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Wang W, Du J, Li S, Xie G, Xu J, Ren Y. Demographic, clinical and biochemical correlates of the length of stay for different polarities in Chinese inpatients with bipolar disorder: A real-world study. Front Hum Neurosci 2023; 17:1135403. [PMID: 36936616 PMCID: PMC10014706 DOI: 10.3389/fnhum.2023.1135403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 02/06/2023] [Indexed: 03/05/2023] Open
Abstract
Introduction: Many patients with bipolar disorder (BD) need hospitalization, while the number of hospital beds for these patients is limited. Managing the length of stay (LOS) is an effective solution to this issue. Research on LOS and its influencing factors in BD is limited in China. This study aimed to identify the factors relevant to LOS in different polarities in Chinese patients with BD. Method: This was a real-world, cross-sectional study. Data were obtained from the electronic medical record system. Patients admitted to Beijing Anding Hospital between Jan 2014 and Dec 2017 and diagnosed with BD were included. Demographic information, clinical characteristics, and biochemical variables were collected. Patients were classified into short and long LOS groups based on a cutoff value. A univariate study and a multivariate logistic regression analysis were performed to identify variables related to LOS in various BD polarities. The receiver operating characteristic (ROC) analysis was utilized to evaluate the discrimination accuracy of the regression model. Result: Four thousand six hundred and seventy-five visits from 4,451 individuals were included in the analysis. For the whole sample, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). There was an additive interaction between a family history of mental disorders and polarities (p < 0.05). For manic episodes, unmarried status, psychotic features, and family history of mental disorders were positively associated with long LOS (all p < 0.05). For depressive episodes, psychotic features and high-density lipoprotein cholesterol (HDLC) levels were positively associated with long LOS (all p < 0.05). For mixed states, unmarried status was positively associated with long LOS, while low-density lipoprotein cholesterol (LDLC) levels were negatively associated with LOS (all p < 0.05). The area under the curve (AUC) values for depressive episodes, manic episodes, and mixed states in the combined model were 0.587, 0.553, and 0.619, respectively (all p < 0.05). Discussion: The findings suggested that LOS correlates differed by polarity, with marital status, psychotic features, a family history of mental disorders, and lipid levels strongly linked with LOS in patients with BD.
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Affiliation(s)
- Wei Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Jing Du
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Sheng Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Gaoming Xie
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Jinjie Xu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- *Correspondence: Jinjie Xu Yanping Ren
| | - Yanping Ren
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
- *Correspondence: Jinjie Xu Yanping Ren
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Wang Y, Meng W, Liu Z, An Q, Hu X. Cognitive impairment in psychiatric diseases: Biomarkers of diagnosis, treatment, and prevention. Front Cell Neurosci 2022; 16:1046692. [DOI: 10.3389/fncel.2022.1046692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
Psychiatric diseases, such as schizophrenia, bipolar disorder, autism spectrum disorder, and major depressive disorder, place a huge health burden on society. Cognitive impairment is one of the core characteristics of psychiatric disorders and a vital determinant of social function and disease recurrence in patients. This review thus aims to explore the underlying molecular mechanisms of cognitive impairment in major psychiatric disorders and identify valuable biomarkers for diagnosis, treatment and prevention of patients.
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Zhang MX, Lin JR, Yang ST, Zou J, Xue Y, Feng CZ, Cao L. Characterization of circRNA-Associated-ceRNA Networks Involved in the Pathogenesis of Postoperative Cognitive Dysfunction in Aging Mice. Front Aging Neurosci 2022; 14:727805. [PMID: 35444525 PMCID: PMC9014220 DOI: 10.3389/fnagi.2022.727805] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 02/23/2022] [Indexed: 11/24/2022] Open
Abstract
Postoperative cognitive dysfunction (POCD) is a clinical entity associated with declined cognitive function following surgery. It occurs more frequently in elderly patients. Recent studies have shown that circRNA-associated-ceRNA networks, constructed based on interactions between circRNA-miRNA and miRNA-mRNA, provide key insight into the molecular mechanisms underlying the pathogenesis of several neurological diseases. However, the mechanism of POCD remains undetermined. In this study, laparotomies were performed under isoflurane anesthesia on young (2-month-old) and aging (17-month-old) male C57BL/6 mice. The results showed that the aging mice were more likely than the young mice to develop POCD. Subsequently, differentially expressed circRNAs, miRNAs, and mRNAs were characterized by RNA sequencing the hippocampi of young and aging mice under control and surgery conditions. Six circRNAs, 6 miRNAs, and 203 mRNAs were identified to construct the circRNA-associated-ceRNA network for the control condition, while 13 circRNAs, 8 miRNAs, and 189 mRNAs were used for the circRNA-associated-ceRNA network for the surgery condition. Further Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of these two networks revealed that the circRNA-associated-ceRNA networks are involved in POCD pathogenesis though modulating the Wnt and VEGF signaling pathways, as well as neural processes associated with long-term synaptic depression and synaptic transmission. In particular, the mmu-miR-298-5P regulatory pathway identified in this study’s mouse model suggests that mm9_circ_009789- and mm9_circ_004229-associated-ceRNA networks as closely related to the occurrence of POCD through regulating PKC signaling pathway, neural cell apoptosis and glycolipid metabolism pathway. These findings provide possible insight into the role of the circRNA-associated-ceRNA networks, helping to unravel the complexity of the molecular pathogenesis of POCD.
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Affiliation(s)
- Meng-Xue Zhang
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jing-Run Lin
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shu-Ting Yang
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jun Zou
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yao Xue
- School of Basic Medical Sciences and Forensic Medicine, Hangzhou Medical College, Hangzhou, China
| | - Chen-Zhuo Feng
- School of Basic Medical Sciences and Forensic Medicine, Hangzhou Medical College, Hangzhou, China
- *Correspondence: Chen-Zhuo Feng,
| | - Lin Cao
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
- Lin Cao,
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Yi W, Wu H, Li R, Li H, Song Z, She S, Zheng Y. Prevalence and associated factors of obesity and overweight in Chinese patients with bipolar disorder. Front Psychiatry 2022; 13:984829. [PMID: 36147966 PMCID: PMC9485538 DOI: 10.3389/fpsyt.2022.984829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 08/01/2022] [Indexed: 11/21/2022] Open
Abstract
OBJECT Despite abundant literature demonstrating a high prevalence of obesity and overweight in people with bipolar disorder (BD), little is known about this topic in China. Therefore, we assessed the prevalence and associated factors of obesity and overweight among inpatients with BD in our hospital, one of the largest public psychiatric hospitals in China. METHODS In this retrospective, cross-sectional study, 1,169 inpatients ≥18 years with BD during 2019 were included. Obesity was defined as having a BMI ≥25 kg/m2, and overweight was defined as having a BMI from 23 kg/m2 to <25 kg/m2. Binary logistic regression analysis was performed to identify factors associated with obesity and overweight. RESULTS The prevalence of obesity and overweight was 21.0% and 32.2% in patients with BD, respectively. Compared to patients with overweight and normal weight, patients with obesity were older, had a longer duration of BD and a longer length of hospital stay, had a higher prevalence of diabetes and hypertension, and had a higher level of all metabolic indices, except for HDL cholesterol. Binary logistic regression analysis showed that duration of BD, uric acid, alanine aminotransferase (ALT), triglyceride, and LDL cholesterol were significantly associated with obesity, and male sex and uric acid level were significantly associated with overweight (p < 0.05). CONCLUSIONS Obesity and overweight were fairly prevalent in Chinese BD patients, and several factors were related to obesity and overweight. The results of the present study call for the need to implement early screening, prevention and interventions for obesity and overweight in patients with BD in China.
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Affiliation(s)
- Wenying Yi
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haibo Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ruikeng Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haijing Li
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhen Song
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shenglin She
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yingjun Zheng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
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Zhuo C, Liu W, Jiang R, Li R, Yu H, Chen G, Shan J, Zhu J, Cai Z, Lin C, Cheng L, Xu Y, Liu S, Luo Q, Jin S, Liu C, Chen J, Wang L, Yang L, Zhang Q, Li Q, Tian H, Song X. Metabolic risk factors of cognitive impairment in young women with major psychiatric disorder. Front Psychiatry 2022; 13:880031. [PMID: 35966480 PMCID: PMC9373724 DOI: 10.3389/fpsyt.2022.880031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/29/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Cognitive performance improves clinical outcomes of patients with major psychiatric disorder (MPD), but is impaired by hyperglycemia. Psychotropic agents often induce metabolism syndrome (MetS). The identification of modifiable metabolic risk factors of cognitive impairment may enable targeted improvements of patient care. OBJECTIVE To investigate the relationship between MetS and cognitive impairment in young women with MPD, and to explore risk factors. METHODS We retrospectively studied women of 18-34 years of age receiving psychotropic medications for first-onset schizophrenia (SCH), bipolar disorder (BP), or major depressive disorder (MDD). Data were obtained at four time points: presentation but before psychotropic medication; 4-8 and 8-12 weeks of psychotropic therapy; and enrollment. MATRICS Consensus Cognitive Battery, (MCCB)-based Global Deficit Scores were used to assess cognitive impairment. Multiple logistic analysis was used to calculate risk factors. Multivariate models were used to investigate factors associated with cognitive impairment. RESULTS We evaluated 2,864 participants. Cognitive impairment was observed in 61.94% of study participants, and was most prevalent among patients with BP (69.38%). HbA1c within the 8-12 week-treatment interval was the most significant risk factor and highest in BP. Factors in SCH included pre-treatment waist circumference and elevated triglycerides during the 8-12 weeks treatment interval. Cumulative dosages of antipsychotics, antidepressants, and valproate were associated with cognitive impairment in all MPD subgroups, although lithium demonstrated a protect effect (all P < 0.001). CONCLUSIONS Cognitive impairment was associated with elevated HbA1c and cumulative medication dosages. Pre-treatment waist circumference and triglyceride level at 8-12 weeks were risk factors in SCH. Monitoring these indices may inform treatment revisions to improve clinical outcomes.
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Affiliation(s)
- Chuanjun Zhuo
- Department of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China.,Department of Psychiatry, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Psychiatric Transformational Research Key Laboratory, Zhengzhou University, Zhengzhou, China.,Multiple Organs Damage in the Mental Disorder (MODMD) Center of Wenzhou Seventh Hospital, Wenzhou, China.,Department of Psychiatry, Tianjin Anding Hospital, Tianjin, China
| | - Wei Liu
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ronghuan Jiang
- Department of Psychiatry, General Hospital of PLA, Beijing, China
| | - Ranli Li
- Key Laboratory of Psychiatric-Neuroimaging-Genetic and Cor-morbidity, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Haiping Yu
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Guangdong Chen
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jianmin Shan
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jingjing Zhu
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Ziyao Cai
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chongguang Lin
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Langlang Cheng
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Qinghua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shili Jin
- Inpatient Department, Shandong Daizhuang Hospital, Jining, China
| | - Chuanxin Liu
- Inpatient Department, Shandong Daizhuang Hospital, Jining, China
| | - Jiayue Chen
- Department of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China
| | - Lina Wang
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin, China
| | - Lei Yang
- Department of Psychiatry, Yanan Fifth Hospital, Yan'An, China
| | - Qiuyu Zhang
- Department of Psychiatry, Tianjin Anning Hospital, Tianjin, China
| | - Qianchen Li
- Department of Psychiatry, Hebei Fifth Peoples Hospital, Shijiazhuang, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damage in Patients With Mental Disorder, Tianjin Fourth Center Hospital of Tianjin Medical University, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Psychiatric Transformational Research Key Laboratory, Zhengzhou University, Zhengzhou, China
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