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Gawlik-Kotelnicka O, Burzyński J, Rogalski J, Skowrońska A, Strzelecki D. Probiotics may be useful for drug-induced liver dysfunction in patients with depression - A secondary analysis of a randomized clinical trial. Clin Nutr ESPEN 2024; 63:604-614. [PMID: 39089652 DOI: 10.1016/j.clnesp.2024.07.1024] [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: 06/26/2024] [Revised: 07/23/2024] [Accepted: 07/25/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND & AIMS There is a need to identify new treatment options for depression with its comorbidities. Depression often coexists with liver steatosis and the two may share a pathophysiological overlap, including inflammation and microbiota changes. Probiotics might represent a safe option as an adjunctive therapy in patients with depression and possible liver steatosis. The paper presents the secondary analysis of a clinical trial of the effect of probiotic supplementation on the levels of non-invasive markers of liver steatosis and fibrosis in adult patients with depressive disorders. METHODS The research had a two-arm, parallel-group, prospective, randomized, double-blind, controlled design on probiotics in depression. 116 participants received a probiotic preparation containing Lactobacillus helveticus Rosell®-52 and Bifidobacterium longum Rosell®-175 over 60 days. Here, data from 92 subjects was analyzed. The following were assessed: alanine aminotransferase (ALT), alanine aminotransferase/aspartate aminotransferase (ALT/AST) ratio, Hepatic Steatosis Index, Framingham Steatosis Index, as well as non-invasive biomarkers of liver fibrosis (AST to Platelet Ratio Index, Fibosis-4 Index), or baseline socio-demographic, clinical, and laboratory parameters. RESULTS The probiotics did not influence liver steatosis and fibrosis parameters compared with placebo (p = 0.940 for HSI). However, the subgroup analysis revealed significant differences in liver-related parameters when stratified by the main diagnosis group (better improvement in steatosis indices after probiotics in depressive episode than mixed depression and anxiety disorder patients) or psychotropic medications use (better improvement in ALT-based indices after probiotics in antidepressant-treated subjects than those non-antidepressant-treated). The interplay between probiotics, medications, clinical and metabolic profiles of depression, and the changes in liver-related parameters has been discussed. CONCLUSIONS Multiple factors may modulate the postulated hepatoprotective properties of probiotics efficacy in patients with depression. Further studies with larger sample sizes, different probiotic strains, and longer intervention period are necessary to assess the real significance of probiotics for liver health in this population. CLINICALTRIALS GOV IDENTIFIER NCT04756544.
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Affiliation(s)
- Oliwia Gawlik-Kotelnicka
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 8/10 Czechoslowacka St., 92-216 Lodz, Poland.
| | - Jacek Burzyński
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, 15 Mazowiecka St., 92-215 Lodz, Poland.
| | - Jakub Rogalski
- Military Teaching and Veterans Central Hospital, Medical University of Lodz, 113 Zeromskiego St., 90-549 Lodz, Poland.
| | - Anna Skowrońska
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 8/10 Czechoslowacka St., 92-216 Lodz, Poland.
| | - Dominik Strzelecki
- Department of Affective and Psychotic Disorders, Medical University of Lodz, 8/10 Czechoslowacka St., 92-216 Lodz, Poland.
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Yoon J, Yu H, Jang Y, Lee D, Park YS, Ihm HK, Ryoo HA, Cho N, Lee J, Kim Y, Park J, Kang HS, Ha TH, Myung W. Validation of the Short Form of the Mood Instability Questionnaire-Trait (MIQ-T-SF) in the Korean General Population. Psychiatry Investig 2023; 20:408-417. [PMID: 37253466 DOI: 10.30773/pi.2022.0275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 01/30/2023] [Indexed: 06/01/2023] Open
Abstract
OBJECTIVE Mood instability (MI) is a clinically significant trait associated with psychiatric disorders. However, there are no concise measurements to evaluate MI. The initial Mood Instability Questionnaire-Trait (MIQ-T) was developed to fill this gap. The current study aimed to create a short form of MIQ-T (MIQ-T-SF) that measures MI with high validity and reliability in the Korean general population. METHODS Of the 59 items in the MIQ-T, 17 items were chosen for the MIQ-T-SF following the factor analysis process. In total, 540 participants completed the MIQ-T-SF. Cronbach's alpha and McDonald's omega were used to evaluate reliability. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to determine construct validity. Concurrent validity was confirmed via comparisons with Personality Assessment Inventory-Borderline Features Scale. Measurement invariance across gender and age groups was confirmed before analyzing differences in scores using Kruskal-Wallis test. RESULTS The MIQ-T-SF displayed expected correlations and high internal consistency (α=0.71-0.90, Ωt=0.72-0.92). Using EFA and CFA, a five-factor structure was confirmed. Measurement invariance was supported, and gender differences were observed. CONCLUSION The MIQ-T-SF is an accurate and reliable method to detect MI in the Korean general population. The study's results offer new perspectives for future studies on MI.
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Affiliation(s)
- Joohyun Yoon
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hyeona Yu
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Yoonjeong Jang
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Daseul Lee
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Yun Seong Park
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hong Kyu Ihm
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hyun A Ryoo
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Nayoung Cho
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jakyung Lee
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Yeoju Kim
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jungkyu Park
- Department of Psychology, Kyungpook National University, Daegu, Republic of Korea
| | - Hyo Shin Kang
- Department of Psychology, Kyungpook National University, Daegu, Republic of Korea
| | - Tae Hyon Ha
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Woojae Myung
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
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Zheng F, Lin Y, Wei Q, Zeng Z, Xiong D, Wu S. A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects. BMC Psychiatry 2022; 22:790. [PMID: 36517752 PMCID: PMC9753341 DOI: 10.1186/s12888-022-04364-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 10/10/2022] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE To investigate the proportion of registered cases relative to size, distribution characteristics, medication status, and management status of patients diagnosed with severe mental disorders (SMD) in Fuzhou. The medication status and management status were compared between patients in urban and non-urban areas to provide scientific evidence for improving SMD care, control, and treatment in primary health care institutions. METHODS Data (case types, demographic data, distribution data, medication status, and management status, etc.) of patients diagnosed with SMD in 12 districts, counties, and prefectures in the urban and non-urban areas of Fuzhou City were collected from October 2017 to September 2018. Three distributions (population, local, and districts/counties) were used to describe the proportion of registered cases relative to size and clinical characteristics of diagnosed SMD. Chi squared (χ2) test was used to compare the severity in urban and non-urban areas. RESULTS A total of 30,362 registered SMD patients were identified in Fuzhou City of which schizophrenia accounted for the highest number of cases (26,204, 86.31%), and paranoid psychosis had the least number of cases (47, 0.15%). Moreover, approximately half of SMD patients were 18 to 44 years old (45.38%). Close to one third of patients were farmers (30.23%), had a primary school or lower education level (54.17%), were poor, with most below the poverty line (55.35%). The proportion of diagnosed SMD relative to size was highest in Minqing County (0.53%) and lowest in Mawei District (0.38%). A total of 22,989 (75.72%) of the patients were taking medications, and only 17,509 (57.67%) were taking medications regularly. Moreover, the percentage of cases taking medications and those taking medications regularly were higher in urban areas than in non-urban areas (P<0.05). A total of 3065 patients were registered for management (10.09%). The managed proportion of SMD cases was higher in the urban areas than in the non-urban areas (P < 0.05). CONCLUSION Schizophrenia is a key disease for comprehensive care and control of severe mental disorders in Fuzhou. The management of severe mental disorders should focus on poor groups with low educational backgrounds. Drug usage and management are better in urban areas than in non-urban areas, and thus management should be enhanced in non-urban areas. The medication management and case management of patients with severe mental disorders in Fuzhou need further improvements.
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Affiliation(s)
- Fuhao Zheng
- grid.256112.30000 0004 1797 9307Department of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, 350001 China ,Department of Scientific Research Management, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350001 China
| | - Yawen Lin
- grid.256112.30000 0004 1797 9307Department of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, 350001 China
| | - Qinfei Wei
- grid.256112.30000 0004 1797 9307Department of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, 350001 China
| | - Zhaonan Zeng
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350001 China
| | - Duanhua Xiong
- Department of Prevention and Treatment, Fuzhou Neuropsychiatric Hospital, Fuzhou, 350001 China
| | - Siying Wu
- Department of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, 350001, China.
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Escelsior A, Amadeo MB, Esposito D, Rosina A, Trabucco A, Inuggi A, Pereira da Silva B, Serafini G, Gori M, Amore M. COVID-19 and psychiatric disorders: The impact of face masks in emotion recognition face masks and emotion recognition in psychiatry. Front Psychiatry 2022; 13:932791. [PMID: 36238943 PMCID: PMC9551300 DOI: 10.3389/fpsyt.2022.932791] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 08/26/2022] [Indexed: 11/13/2022] Open
Abstract
Since the outbreak of the COVID-19 pandemic, reading facial expressions has become more complex due to face masks covering the lower part of people's faces. A history of psychiatric illness has been associated with higher rates of complications, hospitalization, and mortality due to COVID-19. Psychiatric patients have well-documented difficulties reading emotions from facial expressions; accordingly, this study assesses how using face masks, such as those worn for preventing COVID-19 transmission, impacts the emotion recognition skills of patients with psychiatric disorders. To this end, the current study asked patients with bipolar disorder, major depressive disorder, schizophrenia, and healthy individuals to identify facial emotions on face images with and without facial masks. Results demonstrate that the emotion recognition skills of all participants were negatively influenced by face masks. Moreover, the main insight of the study is that the impairment is crucially significant when patients with major depressive disorder and schizophrenia had to identify happiness at a low-intensity level. These findings have important implications for satisfactory social relationships and well-being. If emotions with positive valence are hardly understood by specific psychiatric patients, there is an even greater requirement for doctor-patient interactions in public primary care.
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Affiliation(s)
- Andrea Escelsior
- Applied Neurosciences for Technological Advances in Rehabilitation Systems (ANTARES) Joint Lab, Clinica Psichiatrica ed SPDC, Largo Rosanna Benzi, Genoa, Italy.,Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Maria Bianca Amadeo
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,U-VIP Unit for Visually Impaired People, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy
| | - Davide Esposito
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,U-VIP Unit for Visually Impaired People, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy
| | - Anna Rosina
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Alice Trabucco
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Alberto Inuggi
- Applied Neurosciences for Technological Advances in Rehabilitation Systems (ANTARES) Joint Lab, Clinica Psichiatrica ed SPDC, Largo Rosanna Benzi, Genoa, Italy.,Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Beatriz Pereira da Silva
- Applied Neurosciences for Technological Advances in Rehabilitation Systems (ANTARES) Joint Lab, Clinica Psichiatrica ed SPDC, Largo Rosanna Benzi, Genoa, Italy.,Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,U-VIP Unit for Visually Impaired People, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy
| | - Gianluca Serafini
- Applied Neurosciences for Technological Advances in Rehabilitation Systems (ANTARES) Joint Lab, Clinica Psichiatrica ed SPDC, Largo Rosanna Benzi, Genoa, Italy.,Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Monica Gori
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,U-VIP Unit for Visually Impaired People, Fondazione Istituto Italiano di Tecnologia, Genoa, Italy
| | - Mario Amore
- Applied Neurosciences for Technological Advances in Rehabilitation Systems (ANTARES) Joint Lab, Clinica Psichiatrica ed SPDC, Largo Rosanna Benzi, Genoa, Italy.,Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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