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Bitter I, Czobor P, Tombor L. Is There a Link Between Type 2 Diabetes Mellitus and Negative Symptoms in Schizophrenia? A Scoping Review. Brain Sci 2025; 15:499. [PMID: 40426670 PMCID: PMC12110311 DOI: 10.3390/brainsci15050499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2025] [Revised: 05/06/2025] [Accepted: 05/08/2025] [Indexed: 05/29/2025] Open
Abstract
BACKGROUND/OBJECTIVES Type 2 diabetes mellitus (T2DM) and impaired glucose metabolism are more prevalent among patients with schizophrenia than in the general population. The incidence of T2DM is associated with lifestyle factors that are often influenced by the negative symptoms of schizophrenia; comorbid T2DM may contribute to the reduced life expectancy observed in patients with schizophrenia. The existing literature reveals a scarcity of data regarding the potential causal relationship between T2DM and negative symptoms. METHODS A scoping review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria, utilizing the PubMed database to identify clinical studies investigating the association between T2DM and the negative (but not cognitive) symptom domain of schizophrenia. Subsequently, the reference lists of these identified publications were searched. RESULTS Seventeen publications were included. There is evidence supporting the association between impaired glucose tolerance and increased negative symptoms in patients with first-episode psychosis, and several studies indicate that poorer glucose metabolic status correlates with more severe negative symptoms. Patients with T2DM and chronic schizophrenia, however, had milder negative symptom scores compared to those without diabetes, although this association was less pronounced than in early disease stages. CONCLUSIONS There is insufficient confirmatory evidence regarding the potential causality of T2DM on the negative symptoms of schizophrenia. Further, preferably prospective studies are needed to explore the complex and potentially causal relationship between T2DM and negative symptoms of schizophrenia. If T2DM were found to have a causal relationship with negative symptoms or to exacerbate pre-existing symptoms, it could lead to significant changes in therapeutic approaches for schizophrenia.
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Affiliation(s)
- István Bitter
- Department of Psychiatry and Psychotherapy, Semmelweis University, 1083 Budapest, Hungary
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Elman I. Treatments for weight gain in schizophrenia. Curr Opin Psychiatry 2025; 38:159-168. [PMID: 40009761 DOI: 10.1097/yco.0000000000000992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/28/2025]
Abstract
PURPOSE OF REVIEW Obesity and related metabolic disorders are extremely common in psychiatric patients, particularly in those with schizophrenia. Elucidating this link's neurobiology may inform clinicians and researchers of rational therapeutic approaches necessary to optimize clinical outcomes. RECENT FINDINGS Current literature highlights the pivotal role of the inflammation-oxidative stress-insulin resistance loop in the pathophysiology of both metabolic and neuropsychiatric disorders. The concept of 'diabetophrenia' is put forward to highlight the overlapping neurobiological mechanisms underlying metabolic dysfunction and schizophrenia symptoms. Innovative treatments, including the combination of xanomeline with trospium and incretin-based medicines, demonstrate encouraging potential in addressing such complex health challenges. SUMMARY The nuanced dynamics of chronic inflammation and psychiatric symptomatology underscore the significance of addressing both metabolic and mental health factors in a cohesive fashion while considering unique psychosocial contexts, dietary preferences, and lifestyle choices. A multidisciplinary strategy is essential for incorporating counseling, dietary interventions, behavioral therapies, and pharmacotherapy into the management of schizophrenia. The ensuing enhanced collaboration among healthcare professionals may render obsolete the prevailing siloed conceptualizations of mental disorders, opening new vistas for generating synergistic insights into the mind-body systems and leading to improved health and quality of life for patients with schizophrenia and other psychiatric conditions.
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Affiliation(s)
- Igor Elman
- Department of Psychiatry, Cambridge Health Alliance, Harvard Medical School, Boston, Massachusetts, USA
- Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel, Israel
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Liu K, Chen HW, Wang SA, Zhang CY, Cao BF, Zhang XC, Gu SY, Zhong Q, Wei YF, Liang YQ, Fan WD, Xu ZY, Liao KY, Zhao ZX, Wu XB. Association between serum bilirubin and type 2 diabetes mellitus risk: Findings from a schizophrenia cohort. Schizophr Res 2025; 279:106-115. [PMID: 40187183 DOI: 10.1016/j.schres.2025.03.039] [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: 12/10/2024] [Revised: 03/14/2025] [Accepted: 03/29/2025] [Indexed: 04/07/2025]
Abstract
BACKGROUND The relationship between serum bilirubin levels and type 2 diabetes mellitus (T2DM) in individuals with schizophrenia (SCZ) remains poorly understood. This study investigated associations between total, conjugated, and unconjugated bilirubin (TB, CB, and UCB) and T2DM risk, while exploring the potential role of inflammatory pathways. METHODS The study included 862 SCZ patients from Baiyun Jingkang Hospital, Guangzhou, the People's Republic of China. Cox proportional hazards model assessed baseline bilirubin and T2DM risk, while causal mediation analysis explored inflammatory markers. Latent class trajectory model and logistic regression model evaluated the association between multi-timepoint trajectories of bilirubin and T2DM prevalence. RESULTS Over a median 3.19-year follow-up, 63 T2DM cases were diagnosed. Adjusted hazard ratios per 1 μmol/L increase were 0.88 (95 % CI: 0.82-0.95) for TB, 0.71 (0.57-0.89) for CB, and 0.86 (0.78-0.95) for UCB. Compared to the lowest tertile, the highest tertiles of TB, CB, and UCB were associated with 63 %, 74 %, and 63 % reduced T2DM risks, respectively. Lymphocyte count mediated TB (8.77 %), CB (11.68 %), and UCB (8.34 %); CRP mediated TB (3.33 %) and UCB (4.60 %) with T2DM. Persistently high TB and UCB levels were associated with lower T2DM prevalence (OR = 0.22 and 0.30, respectively). CONCLUSION Elevated bilirubin levels are associated with reduced T2DM risk in SCZ patients, with lymphocyte count and CRP partially mediating the bilirubin-T2DM relationship. And persistently high levels of TB and UCB linked to a lower prevalence of T2DM. These findings suggest that moderately elevated serum bilirubin may reduce T2DM risk among SCZ patients.
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Affiliation(s)
- Kuan Liu
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Hao-Wen Chen
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Shi-Ao Wang
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Chen-Yu Zhang
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Bi-Fei Cao
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Xiao-Chun Zhang
- Department of Psychiatry, Baiyun Jingkang Hospital, Guangzhou, Guangdong, China
| | - Shan-Yuan Gu
- Department of Psychiatry, Baiyun Jingkang Hospital, Guangzhou, Guangdong, China
| | - Qi Zhong
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Yan-Fei Wei
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Yong-Qi Liang
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Wei-Dong Fan
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Zheng-Yun Xu
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Kai-Yue Liao
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Zi-Xuan Zhao
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China
| | - Xian-Bo Wu
- Department of Epidemiology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou 510515, China.
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John AP, Mya T, Haywood D. Cognitive deficits among people with schizophrenia and prediabetes or diabetes. Acta Psychiatr Scand 2024; 149:65-76. [PMID: 37950362 DOI: 10.1111/acps.13627] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/02/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION Both type 2 diabetes mellitus (T2DM) and schizophrenia are known to be associated with cognitive deficits. The impact of the comorbidities of T2DM or prediabetes (PD) on cognition among people with schizophrenia has been poorly researched. We evaluated the cognitive functioning of patients with schizophrenia and PD or T2DM and compared them to patients with schizophrenia with normal blood sugar. METHODS We retrospectively collated data on cognition, fasting blood glucose (FBG), lipids and other selected demographic and clinical variables of 171 patients with schizophrenia and 16 patients with schizoaffective disorder who were admitted to an inpatient rehabilitation facility in Western Australia from 2011 to 2018. The Brief Assessment of Cognition in Schizophrenia (BACS) was used to evaluate cognitive functioning. Parametric and non-parametric analyses were used to examine the study's aims. RESULTS Sixty-six percent of the patients had normal blood sugar, 25% had PD and 9% had T2DM. The BACS composite score revealed an increasing gradient of cognitive deficits, ranging from mild to severe, between the normal, PD and T2DM groups, respectively. The T2DM group had a significantly lower composite score compared with the PD (p = 0.026) and normal groups (p < 0.001). On the BACS subtests, the scores of T2DM and PD patients were similar except for the token motor task, in which the T2DM group had significantly lower scores (p < 0.001). The T2DM group also had lower scores on the subtests of BACS, except memory tests, compared with those with normal blood sugar. There was no significant difference in the composite and subtest cognitive scores between the PD and normal groups. CONCLUSIONS Our study revealed more pronounced cognitive deficits among patients with schizophrenia and dysglycaemia, particularly those with T2DM, compared with those with schizophrenia with normal blood sugar.
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Affiliation(s)
| | - Thynn Mya
- University of Western Australia, Perth, Australia
| | - Darren Haywood
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Department of Mental Health, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Sydney, New South Wales, Australia
- Department of Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
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Carr KD, Weiner SP, Vasquez C, Schmidt AM. Involvement of the Receptor for Advanced Glycation End Products (RAGE) in high fat-high sugar diet-induced anhedonia in rats. Physiol Behav 2023; 271:114337. [PMID: 37625475 PMCID: PMC10592025 DOI: 10.1016/j.physbeh.2023.114337] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 08/08/2023] [Accepted: 08/21/2023] [Indexed: 08/27/2023]
Abstract
Clinical and basic science investigation indicates a link between insulin resistance and anhedonia. Previous results of this laboratory point to impaired nucleus accumbens (NAc) insulin signaling as an underpinning of diet-induced anhedonia, based on use of a glucose lick microstructure assay. The present study evaluated whether advanced glycation end products (AGEs) and their receptor (RAGE), known to mediate obesogenic diet-induced inflammation and pathological metabolic conditions, are involved in this behavioral change. Six weeks maintenance of male and female rats on a high fat-high sugar liquid diet (chocolate Ensure) increased body weight gain, and markedly increased circulating insulin and leptin, but induced anhedonia (decreased first minute lick rate and lick burst size) in males only. In these subjects, anhedonia correlated with plasma concentrations of insulin. Although the diet did not alter plasma or NAc AGEs, or the expression of RAGE in the NAc, marginally significant correlations were seen between anhedonia and plasma content of several AGEs and NAc RAGE. Importantly, a small molecule RAGE antagonist, RAGE229, administered twice daily by oral gavage, prevented diet-induced anhedonia. This beneficial effect was associated with improved adipose function, reflected in the adiponectin/leptin ratio, and increased pCREB/total CREB in the NAc, and a shift in the pCREB correlation with pThr34-DARPP-32 from near-zero to strongly positive, such that both phospho-proteins correlated with the rescued hedonic response. This set of findings suggests that the receptor/signaling pathway and cell type underlying the RAGE229-mediated increase in pCREB may mediate anhedonia and its prevention. The possible role of adipose tissue as a locus of diet-induced RAGE signaling, and source of circulating factors that target NAc to modify hedonic reactivity are discussed.
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Affiliation(s)
- Kenneth D Carr
- Departments of Psychiatry, New York University Grossman School of Medicine, 435 East 30th Street, New York, NY 10016, United States; Departments of Biochemistry and Molecular Pharmacology, New York University Grossman School of Medicine, 435 East 30th Street, New York, NY 10016, United States.
| | - Sydney P Weiner
- Departments of Psychiatry, New York University Grossman School of Medicine, 435 East 30th Street, New York, NY 10016, United States
| | - Carolina Vasquez
- Departments of Psychiatry, New York University Grossman School of Medicine, 435 East 30th Street, New York, NY 10016, United States; Departments of Diabetes Research Program, Department of Medicine, New York University Grossman School of Medicine, 435 East 30th Street, New York, NY 10016, United States
| | - Ann Marie Schmidt
- Departments of Diabetes Research Program, Department of Medicine, New York University Grossman School of Medicine, 435 East 30th Street, New York, NY 10016, United States
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Qi S, Xu Y, Zeng K, Li Y, Ma J. Incidence and Factors Associated with Hyperglycemia in Patients with First Hospitalization for Major Depression Disorder: A Large Cross-Sectional Sample. Neuropsychiatr Dis Treat 2023; 19:1809-1818. [PMID: 37637977 PMCID: PMC10455853 DOI: 10.2147/ndt.s421984] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 08/10/2023] [Indexed: 08/29/2023] Open
Abstract
Purpose Major depressive disorder (MDD) is a mood disorder characterized by persistent spontaneous depression and has a high rate of disability and mortality. There is a complex relationship between MDD and disorders of glucose metabolism, and our study aimed to investigate the prevalence and risk factors for hyperglycemia in patients with MDD who were hospitalized for the first times. Patients and Methods A total of 981 first-time inpatients with MDD were recruited, socio-demographic information, anthropometric data, and biochemical parameters were collected for each participant. The 17-item Hamilton Assessment Scale for Depression (HAMD-17), the 14-item Hamilton Anxiety Scale (HAMA-14), the Positive Syndrome Scale (PSS), and Clinical General Impressions Inventory-Severity of Illness (CGI-SI) scores were used to assess patients' clinical symptoms. Results The prevalence of hyperglycemia was 9.28% among patients with MDD who were hospitalized for the first time. Compared to the non-hyperglycemic subgroup, patients in the hyperglycemic subgroup were found to have more extensive and significant demographic and clinical characteristics, higher levels of metabolism-related parameters, and more severe psychological and psycho-pathological symptoms. Age, thyroid stimulating hormone (TSH), triglycerides (TG) were risk factors for hyperglycemia in MDD patients, while course of disease was a protective factor. Conclusion The study findings suggest that the prevalence of hyperglycemia is not high in patients with MDD who are hospitalized for the first time. The risk variables for predicting hyperglycemia include age, TSH and TG. The above three factors and course of disease have good combined diagnostic ability for hyperglycemia.
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Affiliation(s)
- Shuangyu Qi
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China
| | - Yang Xu
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China
| | - Kuan Zeng
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China
| | - Yi Li
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China
| | - Jun Ma
- Affiliated Wuhan Mental Health Center, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China
- Department of Psychiatry, Renmin Hospital, Wuhan University, Wuhan, People’s Republic of China
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Yan H, Li Y, Li S, Zhou C, Wei S, Li J, Zhang XY. Sex differences in the prevalence and clinical correlates of diabetes in Chinese patients with chronic schizophrenia. Heliyon 2023; 9:e14183. [PMID: 36950609 PMCID: PMC10025886 DOI: 10.1016/j.heliyon.2023.e14183] [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: 10/11/2022] [Revised: 02/12/2023] [Accepted: 02/24/2023] [Indexed: 03/06/2023] Open
Abstract
Sex differences have been noted in schizophrenia (SCZ) and diabetes mellitus (DM); however, the effect of sex on SCZ patients with DM remains unknown. We aimed to investigate sex differences in the prevalence, demographic and clinical correlates of DM in Chinese patients with chronic SCZ. A total of 988 Han Chinese SCZ patients (male/female: 638/350) were recruited from two psychiatric hospitals in China. We used the Positive and Negative Syndrome Scale (PANSS) to evaluate the psychopathological symptoms of the patients. In addition, serum glucose and lipid levels were assayed. The prevalence of DM in female patients (57/350, 16.29%) was higher than that in male patients (79/638, 12.38%). Binary logistic regression analyses confirmed that the prevalence of DM in female patients was higher than that in male patients (P < 0.001, OR = 4.62, 95% CI = 2.11-10.11). Moreover, female patients had significantly higher positive symptoms than male patients (P = 0.003, OR = 1.08, 95% CI = 1.03-1.14). Further, higher body mass index (BMI) and higher triglyceride (TG) were significantly associated with DM in men (both P < 0.05). Decreased high density lipoprotein (HDL) was significantly associated with DM in both male and female patients (both P < 0.01). Comorbid DM is more common in female SCZ patients, and there are sex-specific correlates of DM in SCZ.
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Affiliation(s)
- Huiming Yan
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Yanzhe Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Shen Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Chi Zhou
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Shuochi Wei
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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Martin EA, Jonas KG, Lian W, Foti D, Donaldson KR, Bromet EJ, Kotov R. Predicting Long-Term Outcomes in First-Admission Psychosis: Does the Hierarchical Taxonomy of Psychopathology Aid DSM in Prognostication? Schizophr Bull 2021; 47:1331-1341. [PMID: 33890112 PMCID: PMC8379532 DOI: 10.1093/schbul/sbab043] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical, dimensional model of psychological symptoms and functioning. Its goals are to augment the use and address the limitations of traditional diagnoses, such as arbitrary thresholds of severity, within-disorder heterogeneity, and low reliability. HiTOP has made inroads to addressing these problems, but its prognostic validity is uncertain. The present study sought to test the prediction of long-term outcomes in psychotic disorders was improved when the HiTOP dimensional approach was considered along with traditional (ie, DSM) diagnoses. We analyzed data from the Suffolk County Mental Health Project (N = 316), an epidemiologic study of a first-admission psychosis cohort followed for 20 years. We compared 5 diagnostic groups (schizophrenia/schizoaffective, bipolar disorder with psychosis, major depressive disorder with psychosis, substance-induced psychosis, and other psychoses) and 5 dimensions derived from the HiTOP thought disorder spectrum (reality distortion, disorganization, inexpressivity, avolition, and functional impairment). Both nosologies predicted a significant amount of variance in most outcomes. However, except for cognitive functioning, HiTOP showed consistently greater predictive power across outcomes-it explained 1.7-fold more variance than diagnoses in psychiatric and physical health outcomes, 2.1-fold more variance in community functioning, and 3.4-fold more variance in neural responses. Even when controlling for diagnosis, HiTOP dimensions incrementally predicted almost all outcomes. These findings support a shift away from the exclusive use of categorical diagnoses and toward the incorporation of HiTOP dimensions for better prognostication and linkage with neurobiology.
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Affiliation(s)
- Elizabeth A Martin
- Department of Psychological Science, University of California, Irvine, Irvine, CA
| | | | - Wenxuan Lian
- Department of Materials Science and Engineering and Department of Applied Math and Statistics, Stony Brook University, Stony Brook, NY
| | - Dan Foti
- Department of Psychological Sciences, Purdue University, West Lafayette, IN
| | | | - Evelyn J Bromet
- Department of Psychiatry, Stony Brook University, Stony Brook, NY
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY
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Quality of diabetes care in patients with schizophrenia: a case-control study in Qatar. BMC Psychiatry 2021; 21:149. [PMID: 33706754 PMCID: PMC7953779 DOI: 10.1186/s12888-021-03121-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 02/17/2021] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Patients with schizophrenia are at least twice as likely to develop diabetes mellitus compared to the general population. This is of significance in Qatar given the high prevalence of obesity and diabetes. Furthermore, the lifespan of people with schizophrenia is shortened by approximately 15 years, partly due to long-term microvascular and macrovascular complications. High quality diabetes care can significantly reduce morbidity and mortality. We assessed the level of diabetes care delivered to patients in Qatar with schizophrenia and diabetes compared to those with diabetes alone. METHODS We performed a retrospective chart review of patients with diabetes mellitus with (n = 73) and without (n = 73) schizophrenia. Demographic information and electronic medical records were reviewed to determine adherence to American Diabetes Association standards of diabetes care in the last 6 and 12 months. Optimal diabetes care was defined as having completed glycated hemoglobin (HbA1c), lipid profile and retinal examination within 12 months. RESULTS Optimal diabetes care was significantly lower in patients with schizophrenia and diabetes compared to diabetes alone [26.0% (n = 19/73) vs 52.1% (n = 38/73), p = 0.002]. Patients with diabetes and schizophrenia were also significantly less likely to have had body mass index recorded within 6 months (p = 0.008) and HbA1c (p = 0.006), lipid profile (p = 0.015), estimated glomerular filtration rate (eGFR) (p = 0.001) and order for retinal examination (p = 0.004) over 12 months. After adjusting for multiple comparisons, only assessment of eGFR (p = 0.01) and order for retinal examination (p = 0.04) remained significant. CONCLUSION Patients in Qatar with schizophrenia and diabetes, receive sub-optimal diabetes care compared to those with diabetes alone.
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Diabetes in late-life schizophrenia: Prevalence, factors, and association with clinical symptoms. J Psychiatr Res 2021; 132:44-49. [PMID: 33038565 DOI: 10.1016/j.jpsychires.2020.09.026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 08/25/2020] [Accepted: 09/26/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The prevalence of diabetes mellitus has been found to be higher in patients with schizophrenia. Older patients are the fastest-growing segment of the schizophrenia population. However, few studies have explored diabetes in older patients with schizophrenia. Therefore, this study aimed to determine the prevalence and characteristics of factors associated with diabetes in Chinese patients with late-life schizophrenia (LLS), which has not been reported in previous studies. METHODS A total of 289 inpatients aged 60 or above who met the DSM-IV criteria for schizophrenia were recruited. The severity of psychopathology was assessed by the Positive and Negative Syndrome Scale (PANSS). Diabetes was diagnosed by fasting blood glucose tests, or oral glucose tolerance tests. RESULTS The overall prevalence of diabetes in LLS patients was 25.3%. The prevalence of diabetes in female patients was significantly higher than that in male patients (35% vs. 21.53%). Other factors associated with diabetes included higher BMI, greater waistline (only for males), higher levels of triglyceride, and more severe positive symptoms. CONCLUSION These results indicate that the prevalence of diabetes in LLS patients is similar to that in the age-matched general population. Female gender, excess weight and abdominal obesity, dyslipidemia, and clinical symptoms can be potential risk factors of diabetes in the LLS patient group.
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Correlations between age, biomedical variables, and cognition in patients with schizophrenia. Schizophr Res Cogn 2020; 22:100182. [PMID: 32577406 PMCID: PMC7303996 DOI: 10.1016/j.scog.2020.100182] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 05/26/2020] [Accepted: 05/29/2020] [Indexed: 11/23/2022] Open
Abstract
Objective To illustrate the influence of clinical variables on cognition performance in patients with schizophrenia (SCZ). Methods Using the 66nao Brain Training device (a novel measurement tool), the cognitive performance of 99 patients with SCZ was evaluated. Patients were diagnosed by the ICD-10 diagnostic criteria for SCZ, and their age were 16–68 years old. Furthermore, we explored the relationship between age, biomedical variables and specific cognitive domains in patients with SCZ. Patients were divided into two groups: various of cognitive domains impairment group and non-impairment group according to the norm scores. All data were analyzed using RStudio Version 1.0.44 (RStudio, Inc.) Results Patients with SCZ had obvious cognitive impairment in total and five subdomains of cognitive function. We found that 1) SCZ patients with impaired cognitive total score experienced significant older age and longer illness duration compared with those with normal cognitive total score. 2) SCZ patients with impaired memory experienced significant older age compared with those with normal memory. 3) SCZ patients with impaired attention showed significant lower serum triglyceride (TG) level compared with those with normal attention. 4) SCZ patients with impaired flexibility performed significant longer illness duration compared with those with normal flexibility. 5) SCZ patients with impaired cognitive agility performed significant older age, longer duration, and higher systolic blood pressure (SBP) compared with those with normal cognitive agility. 6) The age, illness duration and SBP in patients with impaired time perception were marginally different from those of subjects with normal time perception. Conclusion There are five dimensions (memory, attention, flexibility, cognitive agility, and time perception) of cognitive dysfunction in SCZ patients. Age, illness duration, TG, and SBP might play vital roles in various subdomains of the cognitive deficits respectively in patients with SCZ.
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Sridhar GR. On Psychology and Psychiatry in Diabetes. Indian J Endocrinol Metab 2020; 24:387-395. [PMID: 33489842 PMCID: PMC7810053 DOI: 10.4103/ijem.ijem_188_20] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/08/2020] [Accepted: 06/06/2020] [Indexed: 12/16/2022] Open
Abstract
Managing diabetes requires dealing with diet, medications, and self-monitoring, besides other pressures of daily living. It, therefore, requires collaboration among individuals with diabetes, their families, and significant others including the social milieu in which they reside. Psychological stress plays critical role in the cause and course of diabetes, particularly in mastering various self-management skills, which are essential for adequate management of diabetes. It is possible to measure and to resolve such stressors. Besides the patient and the family, the built environment which the person occupies must be conducive for healthy living. This is a key component in providing an appropriate physical and psychosocial environment. Lacunae in any of the built environmental parameters compromise social and psychological well-being. Psychiatric conditions are also common in diabetes. Both depression and distress are bi-directionally associated with diabetes. The presence of one condition increases the risk of developing the other. In addition, medications used for the treatment of psychiatric conditions have adverse effects on body weight and insulin sensitivity. One must carefully weigh the risk and benefit of the drug class with potential adverse effects. Therefore, identification and management of psychological and psyciatric aspects in subjects with diabetes is an integral and critical component in treating subjects with diabetes.
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Abstract
PURPOSE OF REVIEW Despite of the heightened risks and burdens of physical comorbidities across the entire spectrum of mental disorders, relatively little is known about physical multimorbidity in this population. The aim of this narrative review is to present recent data regarding the onset and accumulation of physical multimorbidity and to assess its impact on the onset, course, treatment, and outcomes of mental disorders. RECENT FINDINGS A substantial body of literature shows increased risk of physical multimorbidity among people with mental disorders. The disparity in physical multimorbidity occurs even before the diagnosis of mental disorder, and the younger age group appears to be at particular risk. Numerous patterns of association between mental disorders and medical disorders involving multiple organ systems have been identified. Physical multimorbidity affects people with mental disorders across their life spans, is associated with a wide range of unfavorable outcomes and presents significant clinical and public health concerns. SUMMARY To address physical health inequalities among people with mental disorders compared with the general population, we must focus on the physical health from the very first point of contact with a mental health service. Treatment of mental disorders must be customized to meet the needs of patients with different physical multimorbidity patterns. Future work is needed to clarify how physical multimorbidity influences mental disorder treatment outcomes.
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Ibrahim RR, Amer RA, Abozeid AA, Elsharaby RM, Shafik NM. Micro RNA 146a gene variant / TNF-α / IL-6 / IL-1 β; A cross-link axis inbetween oxidative stress, endothelial dysfunction and neuro-inflammation in acute ischemic stroke and chronic schizophrenic patients. Arch Biochem Biophys 2020; 679:108193. [DOI: 10.1016/j.abb.2019.108193] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 11/09/2019] [Accepted: 11/12/2019] [Indexed: 12/18/2022]
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Abstract
PURPOSE OF REVIEW Previous research has demonstrated the high prevalence of medical comorbidity and multimorbidity among patients with schizophrenia. However, little is known regarding the potential effects of chronic physical illness (CPI) on schizophrenia treatment outcomes. In the present report, we aim to provide an updated review of the relevant literature. RECENT FINDINGS We searched MEDLINE for studies published between 2017 and 2018. After screening 683 articles, we included six studies of adequate quality. Five of these studies reported significant associations between several CPIs and different schizophrenia treatment outcomes, whereas the remaining study did not. Significant effects were low to moderate in size. CPIs with significant effects on treatment outcomes included metabolic syndrome, cardiovascular disease, and asthma. No significant effects were observed for diabetes, chronic obstructive pulmonary disease, hepatitis, hypertension, hyperlipidemia, or lung conditions. One study reported a significant association between the total number of CPIs and the overall number of psychiatric rehospitalizations. SUMMARY In addition to increasing the risk of premature mortality, accumulating evidence indicates that various CPIs affect schizophrenia treatment outcomes. Thus, researchers and healthcare practitioners should increase efforts to raise awareness regarding the importance of physical health among patients with schizophrenia. Further high-quality studies are required, particularly those targeting the potential effects of individual CPIs.
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Perry BI, Upthegrove R, Thompson A, Marwaha S, Zammit S, Singh SP, Khandaker G. Dysglycaemia, Inflammation and Psychosis: Findings From the UK ALSPAC Birth Cohort. Schizophr Bull 2019; 45:330-338. [PMID: 29635418 PMCID: PMC6403055 DOI: 10.1093/schbul/sby040] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Psychosis is associated with both dysglycaemia and low-grade inflammation, but population-based studies investigating the interplay between these factors are scarce. AIMS (1) To explore the direction of association between markers of dysglycaemia, inflammation and psychotic experiences (PEs); and (2) To explore whether dysglycaemia moderates and/or mediates the association between inflammation and PEs. METHOD Data from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were modeled using logistic and linear regression to examine cross-sectional and longitudinal associations between markers of dysglycaemia (ages 9 and 18), interleukin-6 (IL-6) (age 9), and PEs (ages 12 and 18). We tested for an interaction between dysglycaemia and IL-6 on risk of PEs at age 18, and tested whether dysglycaemia mediated the relationship between IL-6 and PEs. RESULTS Based on 2627 participants, at age 18, insulin resistance (IR) was associated with PEs (adjusted OR = 2.32; 95% CI, 1.37-3.97). IR was associated with IL-6 both cross-sectionally and longitudinally. Interaction analyses under a multiplicative model showed that IR moderated the association between IL-6 at age 9 and PEs at age 18 (adjusted OR for interaction term = 2.18; 95% C.I., 1.06-4.49). Mediation analysis did not support a model of IR mediating the relationship between IL-6 and PEs. IMPLICATIONS IR is associated with PEs in young people even before the onset of clinical psychosis. Metabolic alterations may interact with childhood inflammation to increase risk of PEs. The findings have implications for clinical practice and future research.
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Affiliation(s)
- Benjamin Ian Perry
- Department of Psychiatry, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Rachel Upthegrove
- Insitute for Mental Health, University of Birmingham, Birmingham, UK
- Department of Psychiatry, Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Andrew Thompson
- Department of Psychiatry, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Steven Marwaha
- Department of Psychiatry, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Stanley Zammit
- Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Institute of Psychological Medicine and Clinical Neurosciences, Medical Research Council Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Swaran Preet Singh
- Department of Psychiatry, Coventry and Warwickshire Partnership NHS Trust, Coventry, UK
- Unit of Mental Health and Wellbeing, University of Warwick, Coventry, UK
| | - Golam Khandaker
- Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, Bristol, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, UK
- Department of Psychiatry, Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, UK
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17
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Ke C, Lau E, Shah BR, Stukel TA, Ma RC, So WY, Kong AP, Chow E, Clarke P, Goggins W, Chan JCN, Luk A. Excess Burden of Mental Illness and Hospitalization in Young-Onset Type 2 Diabetes: A Population-Based Cohort Study. Ann Intern Med 2019; 170:145-154. [PMID: 30641547 DOI: 10.7326/m18-1900] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) increases hospitalization risk. Young-onset T2D (YOD) (defined as onset before age 40 years) is associated with excess morbidity and mortality, but its effect on hospitalizations is unknown. OBJECTIVE To determine hospitalization rates among persons with YOD and to examine the effect of age at onset on hospitalization risk. DESIGN Prospective cohort study. SETTING Hong Kong. PARTICIPANTS Adults aged 20 to 75 years in population-based (2002 to 2014; n = 422 908) and registry-based (2000 to 2014; n = 20 886) T2D cohorts. MEASUREMENTS All-cause and cause-specific hospitalization rates. Negative binomial regression models estimated effect of age at onset on hospitalization rate and cumulative bed-days from onset to age 75 years for YOD. RESULTS Patients with YOD had the highest hospitalization rates by attained age. In the registry cohort, 36.8% of YOD bed-days before age 40 years were due to mental illness. The adjusted rate ratios showed increased hospitalization in YOD versus usual-onset T2D (onset at age ≥40 years) (all-cause, 1.8 [95% CI, 1.7 to 2.0]; renal, 6.7 [CI, 4.2 to 10.6]; diabetes, 3.7 [CI, 3.0 to 4.6]; cardiovascular, 2.1 [CI, 1.8 to 2.5]; infection, 1.7 [CI, 1.4 to 2.1]; P < 0.001 for all). Models estimated that intensified risk factor control in YOD (hemoglobin A1c level <6.2%, systolic blood pressure <120 mm Hg, low-density lipoprotein cholesterol level <2.0 mmol/L [<77.3 mg/dL], triglyceride level <1.3 mmol/L [<115.1 mg/dL], waist circumference of 85 cm [men] or 80 cm [women], and smoking cessation) was associated with a one-third reduction in cumulative bed-days from onset to age 75 years (97 to 65 bed-days). LIMITATION Possible residual confounding. CONCLUSION Adults with YOD have excess hospitalizations across their lifespan compared with persons with usual-onset T2D, including an unexpectedly large burden of mental illness in young adulthood. Efforts to prevent YOD and intensify cardiometabolic risk factor control while focusing on mental health are urgently needed. PRIMARY FUNDING SOURCE Asia Diabetes Foundation.
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Affiliation(s)
- Calvin Ke
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, and University of Toronto, Toronto, Ontario, Canada (C.K.)
| | - Eric Lau
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong (E.L., R.C.M., W.S., A.P.K., E.C., W.G., J.C.C., A.L.)
| | - Baiju R Shah
- University of Toronto, Institute for Clinical Evaluative Sciences, and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada (B.R.S.)
| | - Thérèse A Stukel
- University of Toronto and Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (T.A.S.)
| | - Ronald C Ma
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong (E.L., R.C.M., W.S., A.P.K., E.C., W.G., J.C.C., A.L.)
| | - Wing-Yee So
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong (E.L., R.C.M., W.S., A.P.K., E.C., W.G., J.C.C., A.L.)
| | - Alice P Kong
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong (E.L., R.C.M., W.S., A.P.K., E.C., W.G., J.C.C., A.L.)
| | - Elaine Chow
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong (E.L., R.C.M., W.S., A.P.K., E.C., W.G., J.C.C., A.L.)
| | - Philip Clarke
- University of Melbourne, Melbourne, Victoria, Australia (P.C.)
| | - William Goggins
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong (E.L., R.C.M., W.S., A.P.K., E.C., W.G., J.C.C., A.L.)
| | - Juliana C N Chan
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong (E.L., R.C.M., W.S., A.P.K., E.C., W.G., J.C.C., A.L.)
| | - Andrea Luk
- The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong (E.L., R.C.M., W.S., A.P.K., E.C., W.G., J.C.C., A.L.)
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18
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Dieset I, Mørch RH, Hope S, Hoseth EZ, Reponen EJ, Gran JM, Aas M, Michelsen AE, Reichborn-Kjennerud T, Nesvåg R, Agartz I, Melle I, Aukrust P, Djurovic S, Ueland T, Andreassen OA. An association between YKL-40 and type 2 diabetes in psychotic disorders. Acta Psychiatr Scand 2019; 139:37-45. [PMID: 30328100 DOI: 10.1111/acps.12971] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/24/2018] [Indexed: 01/22/2023]
Abstract
OBJECTIVE This study examines if YKL-40 is increased in individuals with psychotic disorders and if elevated YKL-40 levels at baseline is associated with subsequent development of type 2 diabetes. METHOD A total of 1383 patients with a diagnosis of schizophrenia or affective psychosis and 799 healthy controls were recruited in the period 2002-2015. Plasma YKL-40 and metabolic risk factors were measured and medication was recorded. Using national registry data, association between baseline risk factors and later development of type 2 diabetes was assessed using Cox proportional hazards models. RESULTS Plasma YKL-40 was higher in patients vs. healthy controls also after adjusting for metabolic risk factors, with no difference between the schizophrenia and affective psychosis groups. Patients were diagnosed with type 2 diabetes at a significantly younger age. Multivariate Cox regression analyses showed that elevated YKL-40 (hazard ratio (HR) = 5.6, P = 0.001), elevated glucose (HR = 3.6, P = 0.001), and schizophrenia diagnosis (HR = 3.0, P = 0.014) at baseline were associated with subsequent development of type 2 diabetes. CONCLUSIONS Patients with psychotic disorders have at baseline increased levels of YKL-40 beyond the effect of comorbid type 2 diabetes and metabolic risk factors. Elevated YKL-40 level at baseline is associated with later development of type 2 diabetes.
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Affiliation(s)
- I Dieset
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - R H Mørch
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - S Hope
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neuro Habilitation, Oslo University Hospital Ullevål, Oslo, Norway
| | - E Z Hoseth
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Kristiansund District Psychiatric Centre, More and Romsdal Health Trust, Kristiansund, Norway
| | - E J Reponen
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - J M Gran
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital and University of Oslo, Oslo, Norway
| | - M Aas
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - A E Michelsen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway
| | - T Reichborn-Kjennerud
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Genetics, Environment and Mental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - R Nesvåg
- Department of Genetics, Environment and Mental Health, Norwegian Institute of Public Health, Oslo, Norway.,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - I Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - I Melle
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - P Aukrust
- Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway.,Section of Clinical Immunology and Infectious Diseases, Oslo University Hospital, Rikshospitalet, Norway.,K.G. Jebsen Inflammatory Research Center, University of Oslo, Oslo, Norway
| | - S Djurovic
- NORMENT, KG Jebsen Centre for Psychosis Research, Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - T Ueland
- Research Institute of Internal Medicine, Oslo University Hospital Rikshospitalet, Oslo, Norway.,Section of Clinical Immunology and Infectious Diseases, Oslo University Hospital, Rikshospitalet, Norway.,K.G. Jebsen Inflammatory Research Center, University of Oslo, Oslo, Norway
| | - O A Andreassen
- NORMENT, KG Jebsen Centre for Psychosis Research, Oslo University Hospital and University of Oslo, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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19
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Zhao C, Yang C, Wai STC, Zhang Y, P Portillo M, Paoli P, Wu Y, San Cheang W, Liu B, Carpéné C, Xiao J, Cao H. Regulation of glucose metabolism by bioactive phytochemicals for the management of type 2 diabetes mellitus. Crit Rev Food Sci Nutr 2018; 59:830-847. [PMID: 30501400 DOI: 10.1080/10408398.2018.1501658] [Citation(s) in RCA: 127] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 07/13/2018] [Accepted: 07/15/2018] [Indexed: 02/08/2023]
Abstract
Type 2 diabetes mellitus (T2DM) is the most prevalent disease and becoming a serious public health threat worldwide. It is a severe endocrine metabolic disorder that has the ability to induce serious complications in all kinds of organs. Although mechanisms of anti-diabetics have been described before, we focus here on the cellular and physiological mechanisms involved in the modulation of insulin and glucose blood levels. As obesity and inflammation are intimately associated with the development of T2DM, their possible relationships are also described. The effects of gut microbiota on insulin resistance have been recently investigated in clinical trials, and we discuss the potential mechanisms by which gut microbiota may improve glucose handling, especially via the metabolism of ingested phytochemicals. Among the historically supported effects of phytochemicals, their therapeutic potential for T2DM leads to consider these natural products as an important pool for the identification of novel anti-diabetic drug leads. This current research extends the descriptions of anti-diabetic effects of plants that are used in traditional medicines or as nutraceuticals. The objective of the present review is to make a systematic report on glucose metabolism in T2DM as well as to explore the relationships between natural phytochemicals and glucose handling.
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Affiliation(s)
- Chao Zhao
- a College of Food Science , Fujian Agriculture and Forestry University , Fuzhou , China
- b Department of Chemistry , University of California , Davis , CA , USA
| | - Chengfeng Yang
- a College of Food Science , Fujian Agriculture and Forestry University , Fuzhou , China
- c Institute of Oceanography , Minjiang University , Fuzhou , China
| | - Sydney Tang Chi Wai
- d Department of Medicine, LKS Faculty of Medicine , The University of Hong Kong, Queen Mary Hospital , Hong Kong
| | - Yanbo Zhang
- e School Chinese Medicine , University of Hong Kong , Hong Kong , China
| | - Maria P Portillo
- f Department of Nutrition and Food Science, Faculty of Pharmacy , University of Basque Country (UPV/EHU) and Lucio Lascaray Research Center , Vitoria , Spain
- g CIBEROBN Physiopathology of Obesity and Nutrition , Institute of Health Carlos III (ISCIII) , Spain
| | - Paolo Paoli
- h Department of Biomedical, Experimental and Clinical Sciences , University of Florence , Florence , Italy
| | - Yijing Wu
- c Institute of Oceanography , Minjiang University , Fuzhou , China
- i College of Food Science and Nutritional Engineering , China Agricultural University , China
| | - Wai San Cheang
- j Institute of Chinese Medical Sciences, State Key Laboratory of Quality Control in Chinese Medicine , University of Macau , Macau SAR , China
| | - Bin Liu
- a College of Food Science , Fujian Agriculture and Forestry University , Fuzhou , China
| | - Christian Carpéné
- k Institut des Maladies Métaboliques et Cardiovasculaires (I2MC), Institut National de la Santé et de la Recherche Médicale (INSERM U1048) / Université Paul Sabatier, Bât. L4, CHU Rangueil , Toulouse cedex 4 , France
| | - Jianbo Xiao
- j Institute of Chinese Medical Sciences, State Key Laboratory of Quality Control in Chinese Medicine , University of Macau , Macau SAR , China
| | - Hui Cao
- a College of Food Science , Fujian Agriculture and Forestry University , Fuzhou , China
- j Institute of Chinese Medical Sciences, State Key Laboratory of Quality Control in Chinese Medicine , University of Macau , Macau SAR , China
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