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de Paiva IHR, da Silva RS, Mendonça IP, de Souza JRB, Peixoto CA. Semaglutide Attenuates Anxious and Depressive-Like Behaviors and Reverses the Cognitive Impairment in a Type 2 Diabetes Mellitus Mouse Model Via the Microbiota-Gut-Brain Axis. J Neuroimmune Pharmacol 2024; 19:36. [PMID: 39042202 DOI: 10.1007/s11481-024-10142-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 07/14/2024] [Indexed: 07/24/2024]
Abstract
Newly conducted research suggests that metabolic disorders, like diabetes and obesity, play a significant role as risk factors for psychiatric disorders. This connection presents a potential avenue for creating novel antidepressant medications by repurposing drugs originally developed to address antidiabetic conditions. Earlier investigations have shown that GLP-1 (Glucagon-like Peptide-1) analogs exhibit neuroprotective qualities in various models of neurological diseases, encompassing conditions such as Alzheimer's disease, Parkinson's disease, and stroke. Moreover, GLP-1 analogs have demonstrated the capability to enhance neurogenesis, a process recognized for its significance in memory formation and the cognitive and emotional aspects of information processing. Nonetheless, whether semaglutide holds efficacy as both an antidepressant and anxiolytic agent remains uncertain. To address this, our study focused on a mouse model of depression linked to type 2 diabetes induced by a High Fat Diet (HFD). In this model, we administered semaglutide (0.05 mg/Kg intraperitoneally) on a weekly basis to evaluate its potential as a therapeutic option for depression and anxiety. Diabetic mice had higher blood glucose, lipidic profile, and insulin resistance. Moreover, mice fed HFD showed higher serum interleukin (IL)-1β and lipopolysaccharide (LPS) associated with impaired humor and cognition. The analysis of behavioral responses revealed that the administration of semaglutide effectively mitigated depressive- and anxiety-like behaviors, concurrently demonstrating an enhancement in cognitive function. Additionally, semaglutide treatment protected synaptic plasticity and reversed the hippocampal neuroinflammation induced by HFD fed, improving activation of the insulin pathway, demonstrating the protective effects of semaglutide. We also found that semaglutide treatment decreased astrogliosis and microgliosis in the dentate gyrus region of the hippocampus. In addition, semaglutide prevented the DM2-induced impairments of pro-opiomelanocortin (POMC), and G-protein-coupled receptor 43 (GPR43) and simultaneously increased the NeuN + and Glucagon-like Peptide-1 receptor (GLP-1R+) neurons in the hippocampus. Our data also showed that semaglutide increased the serotonin (5-HT) and serotonin transporter (5-HTT) and glutamatergic receptors in the hippocampus. At last, semaglutide changed the gut microbiota profile (increasing Bacterioidetes, Bacteroides acidifaciens, and Blautia coccoides) and decreased leaky gut, improving the gut-brain axis. Taken together, semaglutide has the potential to act as a therapeutic tool for depression and anxiety.
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MESH Headings
- Animals
- Glucagon-Like Peptides/pharmacology
- Diabetes Mellitus, Type 2/complications
- Diabetes Mellitus, Type 2/drug therapy
- Diabetes Mellitus, Type 2/psychology
- Diabetes Mellitus, Type 2/metabolism
- Mice
- Cognitive Dysfunction/drug therapy
- Cognitive Dysfunction/prevention & control
- Cognitive Dysfunction/etiology
- Cognitive Dysfunction/metabolism
- Depression/drug therapy
- Depression/psychology
- Depression/metabolism
- Male
- Anxiety/drug therapy
- Anxiety/psychology
- Anxiety/etiology
- Gastrointestinal Microbiome/drug effects
- Mice, Inbred C57BL
- Brain-Gut Axis/drug effects
- Diabetes Mellitus, Experimental/complications
- Diabetes Mellitus, Experimental/drug therapy
- Diabetes Mellitus, Experimental/psychology
- Diabetes Mellitus, Experimental/metabolism
- Disease Models, Animal
- Antidepressive Agents/pharmacology
- Antidepressive Agents/therapeutic use
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Affiliation(s)
- Igor Henrique Rodrigues de Paiva
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Av. Moraes Rego s/n, Recife CEP, PE, 50670-420, Brazil.
- Postgraduate Program in Biological Sciences/Center of Biosciences, Federal University of Pernambuco (UFPE), Recife, PE, Brazil.
| | - Rodrigo Soares da Silva
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Av. Moraes Rego s/n, Recife CEP, PE, 50670-420, Brazil
- Postgraduate Program in Biological Sciences/Center of Biosciences, Federal University of Pernambuco (UFPE), Recife, PE, Brazil
| | - Ingrid Prata Mendonça
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Av. Moraes Rego s/n, Recife CEP, PE, 50670-420, Brazil
- Postgraduate Program in Biological Sciences/Center of Biosciences, Federal University of Pernambuco (UFPE), Recife, PE, Brazil
| | | | - Christina Alves Peixoto
- Laboratory of Ultrastructure, Aggeu Magalhães Institute (IAM), Av. Moraes Rego s/n, Recife CEP, PE, 50670-420, Brazil.
- Institute of Science and Technology on Neuroimmunomodulation (INCT-NIM), Recife, Brazil.
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Baenas I, Camacho-Barcia L, Granero R, Razquin C, Corella D, Gómez-Martínez C, Castañer-Niño O, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Cano-Ibáñez N, Tur JA, Martín-Sánchez V, Pintó X, Gaforio JJ, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Jiménez-Murcia S, Dalsgaard S, Garcia-Arellano A, Babio N, Sorli JV, Lassale C, García-de-la-Hera M, Gómez-García E, Zulet MA, Konieczna J, Martín-Peláez S, Tojal-Sierra L, Basterra-Gortari FJ, de Las Heras-Delgado S, Portoles O, Muñoz-Pérez MÁ, Arenas-Larriva AP, Compañ-Gabucio L, Eguaras S, Shyam S, Fitó M, Baños RM, Salas-Salvadó J, Fernández-Aranda F. Association between type 2 diabetes and depressive symptoms after a 1-year follow-up in an older adult Mediterranean population. J Endocrinol Invest 2024; 47:1405-1418. [PMID: 38218741 PMCID: PMC11142971 DOI: 10.1007/s40618-023-02278-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: 09/28/2023] [Accepted: 12/07/2023] [Indexed: 01/15/2024]
Abstract
OBJECTIVES To examine the cross-sectional association between baseline depressive symptoms and the presence of type 2 diabetes (T2D), and its association with glycated hemoglobin (HbA1c) and other metabolic variables, and the prospective association of depressive symptoms and HbA1c after 1 year of follow-up. METHODS n = 6224 Mediterranean older adults with overweight/obesity and metabolic syndrome (48% females, mean age 64.9 ± 4.9 years) were evaluated in the framework of the PREDIMED-Plus study cohort. Depressive symptoms were assessed using the Beck Depression Inventory-II and HbA1c was used to measure metabolic control. RESULTS The presence of T2D increased the likelihood of higher levels of depressive symptoms (χ2 = 15.84, p = 0.001). Polynomial contrast revealed a positive linear relationship (χ2 = 13.49, p = 0.001), the higher the depressive symptoms levels, the higher the prevalence of T2D. Longitudinal analyses showed that the higher baseline depressive symptoms levels, the higher the likelihood of being within the HbA1c ≥ 7% at 1-year level (Wald-χ2 = 24.06, df = 3, p < .001, for the full adjusted model). Additionally, depressive levels at baseline and duration of T2D predicted higher HbA1c and body mass index, and lower physical activity and adherence to Mediterranean Diet at 1 year of follow-up. CONCLUSIONS This study supports an association between T2D and the severity of depressive symptoms, suggesting a worse metabolic control from mild severity levels in the short-medium term, influenced by lifestyle habits related to diabetes care. Screening for depressive symptoms and a multidisciplinary integrative therapeutic approach should be ensured in patients with T2D.
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Affiliation(s)
- I Baenas
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Doctoral Program in Medicine and Translational Research, University of Barcelona, 08007, Barcelona, Spain
| | - L Camacho-Barcia
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
| | - R Granero
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Department de Psicobiologia I Metodologia de les Ciències de la Salut, Universitat Autònoma de Barcelona, 08193, Barcelona, Spain
| | - C Razquin
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - D Corella
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - C Gómez-Martínez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - O Castañer-Niño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), 08003, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - J A Martínez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
| | - Á M Alonso-Gómez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - J Wärnberg
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29590, Málaga, Spain
| | - J Vioque
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - D Romaguera
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120, Palma, Spain
| | - J López-Miranda
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - R Estruch
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - F J Tinahones
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29590, Málaga, Spain
| | - J Lapetra
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013, Seville, Spain
| | - J L Serra-Majem
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016, Las Palmas de Gran Canaria, Spain
| | - N Cano-Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (IBS.GRANADA), 18012, Granada, Spain
| | - J A Tur
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122, Palma, Spain
| | - V Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071, León, Spain
| | - X Pintó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Universidad de Barcelona, 08908, Barcelona, Spain
| | - J J Gaforio
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Departamento de Ciencias de la Salud, Instituto Universitario de Investigación en Olivar y Aceites de Oliva, Universidad de Jaén, 23071, Jaén, Spain
| | - P Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040, Madrid, Spain
| | - J Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029, Madrid, Spain
- Department of Endocrinology, Institut d` Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036, Barcelona, Spain
| | - C Vázquez
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD. University Autonoma, 28024, Madrid, Spain
| | - L Daimiel
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28668, Madrid, Spain
| | - E Ros
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Lipid Clinic, Hospital Clínic, 08036, Barcelona, Spain
| | - S Jiménez-Murcia
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907, Barcelona, Spain
| | - S Dalsgaard
- NCRR-National Centre for Register-Based Research, Aarhus University, 8210, Aarhus, Denmark
- iPSYCH-The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8210, Aarhus, Denmark
- CIRRAU-Centre for Integrated Register-Based Research, Aarhus University, 8210, Aarhus, Denmark
| | - A Garcia-Arellano
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - N Babio
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - J V Sorli
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010, Valencia, Spain
| | - C Lassale
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Barcelona Institute for Global Health (ISGlobal), 08036, Barcelona, Spain
| | - M García-de-la-Hera
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - E Gómez-García
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nursing, University of Málaga, Institute of Biomedical Research in Malaga (IBIMA), 29590, Málaga, Spain
| | - M A Zulet
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049, Madrid, Spain
| | - J Konieczna
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120, Palma, Spain
| | - S Martín-Peláez
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, 18071, Granada, Spain
| | - L Tojal-Sierra
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Cardiovascular, Respiratory and Metabolic Area, Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009, Vitoria-Gasteiz, Spain
| | - F J Basterra-Gortari
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
- Department of Endocrinology and Nutrition, Hospital Universitario de Navarra, IdiSNA, Universidad Pública de Navarra, 31008, Pamplona, Spain
| | - S de Las Heras-Delgado
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - O Portoles
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - M Á Muñoz-Pérez
- Unitat de Suport a la Recerca en Atenció Primaria de Barcelona. IDIAP Jordi Gol. Primary Care Division, Institut Català de La Salut, 08007, Barcelona, Spain
| | - A P Arenas-Larriva
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004, Cordoba, Spain
| | - L Compañ-Gabucio
- CIBER de Epidemiología y Salud Pública (CIBEResp), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010, Alicante, Spain
| | - S Eguaras
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008, Pamplona, Spain
| | - S Shyam
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain
| | - M Fitó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d`Investigació Médica (IMIM), 08003, Barcelona, Spain
| | - R M Baños
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Department of Personality, Evaluation and Psychological Treatment of the University of Valencia, 46010, Valencia, Spain
| | - J Salas-Salvadó
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Human Nutrition Unit ANUT-DSM, Biochemistry and Biotechnology Department, Faculty of Medicine and Health Sciences, Universitat Rovira i Virgili, C/Sant Llorenç 21, 43201, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007, Reus, Spain.
| | - F Fernández-Aranda
- Eating Disorders Unit, Clinical Psychology Department, University Hospital of Bellvitge, Feixa Llarga s/n, Hospitalet de Llobregat, 08907, Barcelona, Spain.
- Centro de Investigación Biomédica en Red, Fisiopatología de la Obesidad y la Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
- Psychoneurobiology of Eating and Addictive Behaviors Group, Neurosciences Programme, Bellvitge Biomedical Research Institute-IDIBELL, 08908, Barcelona, Spain.
- Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, 08907, Barcelona, Spain.
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Ismail TR, Yap CG, Naidu R, Shri L, Pamidi N. Environmental enrichment and the combined interventions of EE and metformin enhance hippocampal neuron survival and hippocampal-dependent memory in type 2 diabetic rats under stress through the BDNF-TrkB signaling pathways. Biomed Pharmacother 2024; 175:116729. [PMID: 38776676 DOI: 10.1016/j.biopha.2024.116729] [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: 03/10/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) with depression causes severe cognitive impairments. The devastating conditions will further compromise the overall quality of life. The overconsumption of high-fat and high-sucrose (HFS) diet is one of the modifiable risk factors for T2D, depression, and cognitive impairments. Thus, it is essential to identify effective therapeutic strategies to overcome the cognitive impairments in T2D with depression. We proposed environmental enrichment (EE) which encompasses social, cognitive, and physical components as the alternative treatment for such impairments. We also investigated the potential neuroprotective properties of the antidiabetic drug metformin. This study aimed to investigate the effects of EE and metformin interventions on hippocampal neuronal death, and hippocampal-dependent memory impairment in T2D rats under stress. METHODS Thirty-two male rats (200-250 g) were divided into four groups: C group (standard diet + conventional cage), DS group [HFS-induced T2D + restraint stress (RS)], DSE group [HFS-induced T2D + RS + EE] and DSEM group [HFS + RS + EE + metformin]. Serum corticosterone (CORT) was measured to evaluate stress levels. The serum Free Oxygen Radicals Testing (FORT) and Free Oxygen Radicals Defence Test (FORD) were measured to evaluate the systemic oxidative status (OS). Serum brain-derived neurotrophic factor (BDNF) and T-maze tasks were performed to evaluate cognitive functions. Rats were humanely sacrificed to collect brains for histological, morphometric, and hippocampal gene expression studies. RESULTS The CORT and the serum FORT levels in the DSE and DSEM groups were lower than in the DS group. Meanwhile, the serum BDNF, T-maze scores, histological, and morphometric analysis were improved in the DSE and DSEM groups than in the DS group. These findings supported that EE and the combined interventions of EE and metformin had neuroprotective properties. The hippocampal gene expression analysis revealed that the DSE and DSEM groups showed improved regulation of BDNF-TrkB signalling pathways, including the BDNF/TrkB binding, PI3K - Akt pathway, Ras-MAPK pathway, PLCγ-Ca2+ pathway, and CREB transcription. CONCLUSION EE and the combined interventions of EE and metformin improved hippocampal neuron survival and hippocampal-dependent memory in T2D rats under stress by enhancing gene expression regulation of neurogenesis and synaptic plasticity.
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Affiliation(s)
- Teh Rasyidah Ismail
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan 47500, Malaysia; Clinical Laboratory Science Section, Institute of Medical Science Technology, Universiti Kuala Lumpur, Kajang, Selangor Darul Ehsan 43000, Malaysia
| | - Christina Gertrude Yap
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan 47500, Malaysia
| | - Rakesh Naidu
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan 47500, Malaysia
| | - Lugganya Shri
- Asian Institute of Medicine, Science and Technology, Faculty of Applied Sciences, Batu 3 1/2, Jalan, Bukit Air Nasi, Bedong, Kedah 08100, Malaysia
| | - Narendra Pamidi
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Selangor Darul Ehsan 47500, Malaysia.
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Thapaliya B, Ray B, Farahdel B, Suresh P, Sapkota R, Holla B, Mahadevan J, Chen J, Vaidya N, Perrone-Bizzozero NI, Benegal V, Schumann G, Calhoun VD, Liu J. Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression. Front Psychiatry 2024; 15:1384298. [PMID: 38827440 PMCID: PMC11141390 DOI: 10.3389/fpsyt.2024.1384298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 04/17/2024] [Indexed: 06/04/2024] Open
Abstract
Anxiety and depression in children and adolescents warrant special attention as a public health concern given their devastating and long-term effects on development and mental health. Multiple factors, ranging from genetic vulnerabilities to environmental stressors, influence the risk for the disorders. This study aimed to understand how environmental factors and genomics affect children and adolescents anxiety and depression across three cohorts: Adolescent Brain and Cognitive Development Study (US, age of 9-10; N=11,875), Consortium on Vulnerability to Externalizing Disorders and Addictions (INDIA, age of 6-17; N=4,326) and IMAGEN (EUROPE, age of 14; N=1888). We performed data harmonization and identified the environmental impact on anxiety/depression using a linear mixed-effect model, recursive feature elimination regression, and the LASSO regression model. Subsequently, genome-wide association analyses with consideration of significant environmental factors were performed for all three cohorts by mega-analysis and meta-analysis, followed by functional annotations. The results showed that multiple environmental factors contributed to the risk of anxiety and depression during development, where early life stress and school support index had the most significant and consistent impact across all three cohorts. In both meta, and mega-analysis, SNP rs79878474 in chr11p15 emerged as a particularly promising candidate associated with anxiety and depression, despite not reaching genomic significance. Gene set analysis on the common genes mapped from top promising SNPs of both meta and mega analyses found significant enrichment in regions of chr11p15 and chr3q26, in the function of potassium channels and insulin secretion, in particular Kv3, Kir-6.2, SUR potassium channels encoded by the KCNC1, KCNJ11, and ABCCC8 genes respectively, in chr11p15. Tissue enrichment analysis showed significant enrichment in the small intestine, and a trend of enrichment in the cerebellum. Our findings provide evidences of consistent environmental impact from early life stress and school support index on anxiety and depression during development and also highlight the genetic association between mutations in potassium channels, which support the stress-depression connection via hypothalamic-pituitary-adrenal axis, along with the potential modulating role of potassium channels.
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Affiliation(s)
- Bishal Thapaliya
- Tri-Institutional Center for Translational Research in NeuroImaging and Data Science, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Bhaskar Ray
- Tri-Institutional Center for Translational Research in NeuroImaging and Data Science, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Britny Farahdel
- Tri-Institutional Center for Translational Research in NeuroImaging and Data Science, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Pranav Suresh
- Tri-Institutional Center for Translational Research in NeuroImaging and Data Science, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Ram Sapkota
- Tri-Institutional Center for Translational Research in NeuroImaging and Data Science, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Bharath Holla
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jayant Mahadevan
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jiayu Chen
- Tri-Institutional Center for Translational Research in NeuroImaging and Data Science, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
| | - Nilakshi Vaidya
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | | | - Vivek Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine, Institute for Science and Technology of Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Vince D. Calhoun
- Tri-Institutional Center for Translational Research in NeuroImaging and Data Science, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Jingyu Liu
- Tri-Institutional Center for Translational Research in NeuroImaging and Data Science, Atlanta, GA, United States
- Department of Computer Science, Georgia State University, Atlanta, GA, United States
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Chae WR, Kohring C, Rohde C, Köhler-Forsberg O, Otte C, Holstiege J. Eight-year nationwide study of the bidirectional association between type 2 diabetes and depression in nearly 8 million German outpatients. BMJ Open Diabetes Res Care 2024; 12:e003903. [PMID: 38719506 PMCID: PMC11085903 DOI: 10.1136/bmjdrc-2023-003903] [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: 11/09/2023] [Accepted: 03/23/2024] [Indexed: 05/12/2024] Open
Abstract
INTRODUCTION Research linking type 2 diabetes and depression mostly relied on hospital-based diagnoses or prescription data, overlooking many outpatient diagnoses. We aimed to quantify the risks of depression in individuals newly diagnosed with type 2 diabetes, and type 2 diabetes in those newly diagnosed with depression, while exploring potential risk differences depending on age, sex, and follow-up time. RESEARCH DESIGN AND METHODS We conducted a matched cohort study using German nationwide outpatient claims data from 2012 to 2022. Participants were individuals newly diagnosed with type 2 diabetes (N=294 642) or depression (N=1 271 537) in 2015, matched in a 1:4 ratio to controls without these conditions by age, sex, and region. The bidirectional risk was evaluated over an 8-year period using mixed-effects Cox proportional hazards models, adjusting for the Charlson Comorbidity Index, urbanicity, and area-level deprivation. RESULTS New type 2 diabetes diagnosis was associated with higher depression risk over 8 years (N=54 561 with depression, HR=1.23, 99% CI=1.21 to 1.24). Similarly, depression diagnosis was linked to an increased type 2 diabetes risk (N=71 848 with type 2 diabetes, HR=1.15, 99% CI=1.14 to 1.17). The association between depression and type 2 diabetes was stronger in younger age groups, especially under 34 years. Findings held across sex-stratified analyses. Time stratification showed a more pronounced association between type 2 diabetes and depression risk during the earlier follow-up quarters, whereas the risk of developing type 2 diabetes after depression diagnosis remained constant throughout the follow-up period. CONCLUSIONS Our findings confirm a bidirectional link between type 2 diabetes and depression, particularly in younger individuals. As type 2 diabetes and depression are frequent, future research needs to study whether preventive approaches can reduce the risk of developing this comorbidity.
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Affiliation(s)
- Woo Ri Chae
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany
- DZPG, German Center for Mental Health, partner site Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin, Germany
| | - Claudia Kohring
- Central Research Institute of Ambulatory Health Care in Germany (Zi), Department of Epidemiology and Health Care Atlas, Berlin, Germany
| | - Christopher Rohde
- Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
| | - Christian Otte
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany
- DZPG, German Center for Mental Health, partner site Berlin, Germany
| | - Jakob Holstiege
- Central Research Institute of Ambulatory Health Care in Germany (Zi), Department of Epidemiology and Health Care Atlas, Berlin, Germany
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Himmerich H, McElroy SL. Glucagon-Like Peptide 1 Receptor Agonists in Psychiatry. J Clin Psychopharmacol 2024; 44:207-210. [PMID: 38635918 DOI: 10.1097/jcp.0000000000001869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
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Liu J, Wang Y, Mu W, Liu Y, Tong R, Lu Z, Yuan H, Jia F, Zhang X, Li Z, Yang W, Du X, Zhang X. Association between triglyceride glucose index (TyG) and psychotic symptoms in patients with first-episode drug-naïve major depressive disorder. Front Psychiatry 2024; 15:1342933. [PMID: 38463431 PMCID: PMC10920251 DOI: 10.3389/fpsyt.2024.1342933] [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: 11/22/2023] [Accepted: 02/13/2024] [Indexed: 03/12/2024] Open
Abstract
Objective Major depressive disorder (MDD) sufferers frequently have psychotic symptoms, yet the underlying triggers remain elusive. Prior research suggests a link between insulin resistance (IR) and increased occurrence of psychotic symptoms. Hence, this study sought to investigate the potential association between psychotic symptoms in Chinese patients experiencing their first-episode drug-naïve (FEDN) MDD and the triglyceride glucose (TyG) index, an alternative measure of insulin resistance (IR). Methods Between September 2016 and December 2018, 1,718 FEDN MDD patients with an average age of 34.9 ± 12.4 years were recruited for this cross-sectional study at the First Hospital of Shanxi Medical University in China. The study collected clinical and demographic data and included assessments of anxiety, depression, and psychotic symptoms using the 14-item Hamilton Anxiety Rating Scale (HAMA), the 17-item Hamilton Depression Rating Scale (HAMD-17), and the positive subscales of the Positive and Negative Syndrome Scale (PANSS), respectively. Measurements of metabolic parameters, fasting blood glucose (FBG), and thyroid hormones were also gathered. To assess the correlation between the TyG index and the likelihood of psychotic symptoms, the study used multivariable binary logistic regression analysis. Additionally, two-segmented linear regression models were employed to investigate possible threshold effects in case non-linearity relationships were identified. Results Among the patients, 9.95% (171 out of 1,718) exhibited psychotic symptoms. Multivariable logistic regression analysis showed a positive correlation between the TyG index and the likelihood of psychotic symptoms (OR = 2.12, 95% CI: 1.21-3.74, P = 0.01) after adjusting for confounding variables. Moreover, smoothed plots revealed a nonlinear relationship with the TyG index, revealing an inflection point at 8.42. Interestingly, no significant link was observed to the left of the inflection point (OR = 0.50, 95% CI: 0.04-6.64, P = 0.60), whereas beyond this point, a positive correlation emerged between the TyG index and psychotic symptoms (OR = 2.42, 95% CI: 1.31-4.48, P = 0.01). Particularly, a considerable 142% rise in the probability of experiencing psychotic symptoms was found with each incremental elevation in the TyG index. Conclusions Understanding the non-linear link between the TyG index and the risk of psychotic symptoms in Chinese patients with FEDN MDD highlights the potential for targeted therapeutic approaches. By acknowledging the threshold effect observed, there is an opportunity to mitigate risk factors associated with IR-related psychiatric comorbidities through tailored interventions. These preliminary results stress the need for further longitudinal research to solidify these insights and contribute to more effective therapeutic strategies.
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Affiliation(s)
- Junjun Liu
- Soochow University, Suzhou, China
- Nanjing Meishan Hospital, Nanjing, China
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | | | - Wei Mu
- School of Ethnology and Sociology, Yunnan University, Kunming, China
| | - Yang Liu
- Nanjing Meishan Hospital, Nanjing, China
| | | | - Zhaomin Lu
- Nanjing Meishan Hospital, Nanjing, China
| | | | - Fengnan Jia
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiaobin Zhang
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Zhe Li
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Wanqiu Yang
- School of Ethnology and Sociology, Yunnan University, Kunming, China
| | - Xiangdong Du
- Soochow University, Suzhou, China
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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Nicolazzi L, Gilbert L, Horsch A, Quansah DY, Puder JJ. Trajectories and associations of symptoms of mental health and well-being with insulin resistance and metabolic health in women with gestational diabetes. Psychoneuroendocrinology 2024; 160:106919. [PMID: 38091918 DOI: 10.1016/j.psyneuen.2023.106919] [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: 07/26/2023] [Revised: 11/17/2023] [Accepted: 12/05/2023] [Indexed: 01/02/2024]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is characterized by increased insulin resistance and carries perinatal and long-term risks for the mother and her offspring. There is a link between perinatal depression or anxiety and GDM. Mental health problems are associated with higher insulin resistance and could explain the underlying association between GDM and depression or anxiety symptoms. We investigated the trajectories and associations between symptoms of mental health and well-being with insulin resistance and metabolic health in women with GDM. METHODS This study included the control group (n = 106) of a randomized controlled trial in women with GDM that were followed-up during pregnancy and up to 1-year postpartum. We measured symptoms of mental health (Edinburgh Postnatal Depression Scale (EPDS), Anxiety subscale of the Hospital Anxiety and Depression Scale (HADS-A), well-being (The World Health Organization Well-Being Index (WHO-5)) and metabolic health, including insulin resistance variables (HOMA-insulin resistance (IR) and Matsuda Index of insulin sensitivity) as well as weight during pregnancy and in the postpartum. RESULTS Participants' pre pregnancy weight and BMI were 69.7 kg ± 16.1 and 25.9 kg/m2 ± 5.5 respectively. HOMA-IR was higher during pregnancy compared to 6-8 weeks postpartum and increased between 6-8 weeks and 1-year postpartum (all p < 0.05). Matsuda index decreased between 6-8 weeks and 1-year postpartum (p < 0.001). EPDS scores decreased between pregnancy and both 6-8 weeks and 1-year postpartum (all p < 0.05). HADS-A scores did not change between pregnancy and the postpartum. WHO-5 scores improved significantly from pregnancy and both 6-8 weeks and 1-year postpartum (p < 0.001). Correlation coefficients within outcome at the three different time points were high for metabolic measures and ranged between 0.94 and 0.96 for weight, from 0.77 to 0.89 for HOMA-IR and 0.64 for the Matsuda index (all p < 0.001). Mental health and well-being variables were moderately correlated in all three time points including r = 0.36-0.55 for the EPDS (p < 0.001), r = 0.58 for HADS (p < 0.001), and r = 0.43-0.52 for the WHO-5 (p < 0.01). After adjustment for age and pre-pregnancy BMI, Matsuda index was negatively associated with EPDS scores and positively associated to WHO-5 scores at 6-8 weeks postpartum. No other association between insulin resistance and mental health or well-being outcomes were found. CONCLUSION While insulin resistance fluctuated with values being lowest in the early postpartum and increasing thereafter, both depression and well-being scores decreased between pregnancy and the postpartum and did not change in the postpartum period. Intraindividual variability was larger for mental health and well-being than for metabolic health outcomes at different time points, indicating a higher plasticity for mental health and well-being outcomes that could be acted upon. We found only few associations between mental health and well-being and metabolic health outcomes.
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Affiliation(s)
- Ludmila Nicolazzi
- Department of Medicine, Internal Medicine service, Lausanne University Hospital, Lausanne, Switzerland.
| | - Leah Gilbert
- Obstetric service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland.
| | - Antje Horsch
- Institute of Higher Education and Research in Healthcare (IUFRS), University of Lausanne, Switzerland; Neonatalogy Service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland.
| | - Dan Yedu Quansah
- Obstetric service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland.
| | - Jardena J Puder
- Obstetric service, Department Woman-Mother-Child, Lausanne University Hospital, Lausanne, Switzerland.
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Hu R, Geng Y, Huang Y, Liu Z, Li F, Dong H, Ma W, Song K, Zhang M, Zhang Z, Song Y. New insights into the interaction between polycystic ovary syndrome and psychiatric disorders: A narrative review. Int J Gynaecol Obstet 2024; 164:387-420. [PMID: 37458179 DOI: 10.1002/ijgo.14988] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/17/2023] [Accepted: 06/19/2023] [Indexed: 01/15/2024]
Abstract
Polycystic ovary syndrome (PCOS) is a prevalent endocrine disease characterized by hyperandrogenism, ovulatory dysfunction, and ovarian polycystic changes, which combines with reproductive problems, metabolic disorders, and psychological disorders to exhibit a far-reaching impact on the physical and mental health of women. We reviewed previous research and discovered that psychiatric disorders are more common in PCOS patients and their children, potentially exacerbating the condition and creating a vicious loop. To understand the reasons, relevant articles were collected following the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines from PubMed, Web of Science, and Cochrane Library, through December 2022. Evidence suggested that PCOS-related clinical manifestations, hyperandrogenism, insulin resistance, obesity, gut dysbiosis, and other variables may increase the risk of psychiatric disorders in patients. In turn, psychiatric disorders may aggravate the pathologic process of PCOS and increase the difficulty of the treatment. We systematically reported the mechanisms underlying the psychiatric disorders-PCOS interactions, intending to provide potential ways to break the vicious cycle and lay the groundwork for future research. However, research on PCOS and psychiatric disorders were still in initial stages, which limited the scope of this review. More studies are needed to further verify our findings.
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Affiliation(s)
- Runan Hu
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuli Geng
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanjing Huang
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhuo Liu
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fan Li
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Haoxu Dong
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenwen Ma
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kunkun Song
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mingmin Zhang
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhuo Zhang
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yufan Song
- Institute of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Integrated Traditional Chinese and Western Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Kim D, Manikat R, Shaikh A, Cholankeril G, Ahmed A. Depression in nonalcoholic fatty liver disease and all-cause/cause-specific mortality. Eur J Clin Invest 2024; 54:e14087. [PMID: 37638383 DOI: 10.1111/eci.14087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/09/2023] [Accepted: 08/17/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND Depression has been associated with nonalcoholic fatty liver disease (NAFLD). Data addressing the impact of depression on NAFLD-related mortality are evolving. We aim to study the association of depression in NAFLD and all-cause/cause-specific mortality in the United States. METHODS A total of 11,877 individuals with NAFLD in the 2007-2016 National Health and Nutrition Examination Survey with the availability of linked mortality through 2019 were analysed. NAFLD was defined by utilizing the hepatic steatosis index in the absence of known causes of chronic liver disease. Depression and functional impairment due to depression were assessed using the Patient Health Questionnaire. RESULTS During the median follow-up of 7.6 years, individuals with depression among individuals with NAFLD had a 35% higher all-cause mortality than those without depression (hazard ratio [HR]: 1.35, 95% confidence interval [CI]: 1.03-1.75) after adjusting for demographic, lifestyle and clinical risk factors. NAFLD with functional impairment due to depression had a 62% higher all-cause mortality than NAFLD without functional impairment (HR: 1.62, 95% CI: 1.10-2.39). Depression in NAFLD was associated with an approximately 50% increase in the risk for cardiovascular mortality, with a 2-fold higher cardiovascular mortality in those with functional impairment compared to those without (HR: 2.07, 95% CI: 1.30-3.30). However, there was no significant difference in cancer- and accident-related mortalities in NAFLD with or without depression. CONCLUSIONS Depression among individuals with NAFLD was associated with a higher risk for all-cause and cardiovascular mortality in the United States.
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Affiliation(s)
- Donghee Kim
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California, USA
| | - Richie Manikat
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California, USA
| | - Anjiya Shaikh
- Department of Medicine, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - George Cholankeril
- Liver Center, Division of Abdominal Transplantation, Michael E DeBakey Department of General Surgery, Baylor College of Medicine, Houston, Texas, USA
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Aijaz Ahmed
- Division of Gastroenterology and Hepatology, Stanford University School of Medicine, Stanford, California, USA
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Chen X, Zhao P, Wang W, Guo L, Pan Q. The Antidepressant Effects of GLP-1 Receptor Agonists: A Systematic Review and Meta-Analysis. Am J Geriatr Psychiatry 2024; 32:117-127. [PMID: 37684186 DOI: 10.1016/j.jagp.2023.08.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 08/05/2023] [Accepted: 08/17/2023] [Indexed: 09/10/2023]
Abstract
AIM/HYPOTHESIS Emerging evidence suggests that glucagon-like peptide-1 receptor agonists (GLP-1RAs) may exert positive effects in patients with depression. Our aim was to conduct a systematic review and meta-analysis to examine the antidepressant effects of GLP-1RAs. METHODS Randomized controlled trials and prospective cohort studies investigating the effects of GLP-1RAs versus placebo or other antidiabetic therapies on depressive symptoms were searched for using multiple electronic sources (CENTRAL, PubMed, EMBASE, PsycINFO, World Health Organization International Clinical Trials Registry Platform, ClinicalTrials.gov, China Network Knowledge Infrastructure, China Biomedical Database, Wan Fang data, and Chinese Scientific Journals Database) from inception to February 16, 2023. We utilized a random effects model to analyze standardized mean differences for the change in depression rating scales comparing GLP-1RA treated groups with control treated groups. RESULTS The meta-analysis comprising 2,071 participants included 5 randomized controlled trials and 1 prospective cohort study. The meta-analysis indicated that the change from baseline in depression rating scale scores decreased significantly when patients received treatment with GLP-1RAs compared to control treatments (SMD = -0.12, 95% CI [-0.21, -0.03], pSMD <0.01, I2 = 0%, pQ = 0.52). The subgroup analysis showed that the effects of GLP-1RAs on depressive symptoms were consistent in patients with Type 2 diabetes mellitus (SMD = -0.12, 95% CI [-0.21, -0.03], pSMD <0.01, I2 = 2%, pQ = 0.40). CONCLUSIONS Adults treated with GLP-1RAs showed significant reductions in the depression rating scale scores compared to those treated with control substances. Our findings suggest that GLP-1RAs may be a potential treatment for alleviating depressive symptoms in humans.
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Affiliation(s)
- Xinda Chen
- Department of Endocrinology (XC), Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Beijing, China
| | - Peiyi Zhao
- Department of Endocrinology (PZ, WW, LG, QP), Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China; Graduate School of Peking Union Medical College (PZ), Beijing 100730, China
| | - Weihao Wang
- Department of Endocrinology (PZ, WW, LG, QP), Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Lixin Guo
- Department of Endocrinology (PZ, WW, LG, QP), Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Qi Pan
- Department of Endocrinology (PZ, WW, LG, QP), Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
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Gusev E, Sarapultsev A. Interplay of G-proteins and Serotonin in the Neuroimmunoinflammatory Model of Chronic Stress and Depression: A Narrative Review. Curr Pharm Des 2024; 30:180-214. [PMID: 38151838 DOI: 10.2174/0113816128285578231218102020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 11/29/2023] [Indexed: 12/29/2023]
Abstract
INTRODUCTION This narrative review addresses the clinical challenges in stress-related disorders such as depression, focusing on the interplay between neuron-specific and pro-inflammatory mechanisms at the cellular, cerebral, and systemic levels. OBJECTIVE We aim to elucidate the molecular mechanisms linking chronic psychological stress with low-grade neuroinflammation in key brain regions, particularly focusing on the roles of G proteins and serotonin (5-HT) receptors. METHODS This comprehensive review of the literature employs systematic, narrative, and scoping review methodologies, combined with systemic approaches to general pathology. It synthesizes current research on shared signaling pathways involved in stress responses and neuroinflammation, including calcium-dependent mechanisms, mitogen-activated protein kinases, and key transcription factors like NF-κB and p53. The review also focuses on the role of G protein-coupled neurotransmitter receptors (GPCRs) in immune and pro-inflammatory responses, with a detailed analysis of how 13 of 14 types of human 5-HT receptors contribute to depression and neuroinflammation. RESULTS The review reveals a complex interaction between neurotransmitter signals and immunoinflammatory responses in stress-related pathologies. It highlights the role of GPCRs and canonical inflammatory mediators in influencing both pathological and physiological processes in nervous tissue. CONCLUSION The proposed Neuroimmunoinflammatory Stress Model (NIIS Model) suggests that proinflammatory signaling pathways, mediated by metabotropic and ionotropic neurotransmitter receptors, are crucial for maintaining neuronal homeostasis. Chronic mental stress can disrupt this balance, leading to increased pro-inflammatory states in the brain and contributing to neuropsychiatric and psychosomatic disorders, including depression. This model integrates traditional theories on depression pathogenesis, offering a comprehensive understanding of the multifaceted nature of the condition.
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Affiliation(s)
- Evgenii Gusev
- Laboratory of Inflammation Immunology, Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Science, Ekaterinburg 620049, Russia
- Russian-Chinese Education and Research Center of System Pathology, South Ural State University, Chelyabinsk 454080, Russia
| | - Alexey Sarapultsev
- Russian-Chinese Education and Research Center of System Pathology, South Ural State University, Chelyabinsk 454080, Russia
- Laboratory of Immunopathophysiology, Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Science, Ekaterinburg 620049, Russia
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13
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Ottomana AM, Presta M, O'Leary A, Sullivan M, Pisa E, Laviola G, Glennon JC, Zoratto F, Slattery DA, Macrì S. A systematic review of preclinical studies exploring the role of insulin signalling in executive function and memory. Neurosci Biobehav Rev 2023; 155:105435. [PMID: 37913873 DOI: 10.1016/j.neubiorev.2023.105435] [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: 04/27/2023] [Revised: 10/04/2023] [Accepted: 10/23/2023] [Indexed: 11/03/2023]
Abstract
Beside its involvement in somatic dysfunctions, altered insulin signalling constitutes a risk factor for the development of mental disorders like Alzheimer's disease and obsessive-compulsive disorder. While insulin-related somatic and mental disorders are often comorbid, the fundamental mechanisms underlying this association are still elusive. Studies conducted in rodent models appear well suited to help decipher these mechanisms. Specifically, these models are apt to prospective studies in which causative mechanisms can be manipulated via multiple tools (e.g., genetically engineered models and environmental interventions), and experimentally dissociated to control for potential confounding factors. Here, we provide a narrative synthesis of preclinical studies investigating the association between hyperglycaemia - as a proxy of insulin-related metabolic dysfunctions - and impairments in working and spatial memory, and attention. Ultimately, this review will advance our knowledge on the role of glucose metabolism in the comorbidity between somatic and mental illnesses.
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Affiliation(s)
- Angela Maria Ottomana
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; Neuroscience Unit, Department of Medicine, University of Parma, 43100 Parma, Italy
| | - Martina Presta
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy; Department of Physiology and Pharmacology, Sapienza University of Rome, 00185 Rome, Italy
| | - Aet O'Leary
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany; Chair of Neuropsychopharmacology, Institute of Chemistry, University of Tartu, Tartu, Estonia
| | - Mairéad Sullivan
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland
| | - Edoardo Pisa
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Giovanni Laviola
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - Jeffrey C Glennon
- Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Ireland
| | - Francesca Zoratto
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy
| | - David A Slattery
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Frankfurt, Germany
| | - Simone Macrì
- Centre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy.
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14
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Chen D, Zhang Y, Huang T, Jia J. Depression and risk of gastrointestinal disorders: a comprehensive two-sample Mendelian randomization study of European ancestry. Psychol Med 2023; 53:7309-7321. [PMID: 37183395 DOI: 10.1017/s0033291723000867] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) is clinically documented to co-occur with multiple gastrointestinal disorders (GID), but the potential causal relationship between them remains unclear. We aimed to evaluate the potential causal relationship of MDD with 4 GID [gastroesophageal reflux disease (GERD), irritable bowel syndrome (IBS), peptic ulcer disease (PUD), and non-alcoholic fatty liver disease (NAFLD)] using a two-sample Mendelian randomization (MR) design. METHODS We obtained genome-wide association data for MDD from a meta-analysis (N = 480 359), and for GID from the UK Biobank (N ranges: 332 601-486 601) and FinnGen (N ranges: 187 028-218 792) among individuals of European ancestry. Our primary method was inverse-variance weighted (IVW) MR, with a series of sensitivity analyses to test the hypothesis of MR. Individual study estimates were pooled using fixed-effect meta-analysis. RESULTS Meta-analyses IVW MR found evidence that genetically predicted MDD may increase the risk of GERD, IBS, PUD and NAFLD. Additionally, reverse MR found evidence of genetically predicted GERD or IBS may increase the risk of MDD. CONCLUSIONS Genetically predicted MDD may increase the risk of GERD, IBS, PUD and NAFLD. Genetically predicted GERD or IBS may increase the risk of MDD. The findings may help elucidate the mechanisms underlying the co-morbidity of MDD and GID. Focusing on GID symptoms in patients with MDD and emotional problems in patients with GID is important for the clinical management.
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Affiliation(s)
- Dongze Chen
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yali Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100083, China
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191 China
| | - Jinzhu Jia
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China
- Center for Statistical Science, Peking University, Beijing, China
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15
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Patil R, Aswar U, Vyas N. Pterostilbene ameliorates type-2 diabetes mellitus - Induced depressive-like behavior by mitigating insulin resistance, inflammation and ameliorating HPA axis dysfunction in rat brain. Brain Res 2023; 1817:148494. [PMID: 37478963 DOI: 10.1016/j.brainres.2023.148494] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 07/23/2023]
Abstract
One of the most serious mental health comorbidities associated with diabetes mellitus is depression. The occurrence is almost double in type 2 diabetes mellitus (T2DM) compared with the general population. Pterostilbene (PTE), a dimethylated analog of resveratrol, has been reported for significant neuroprotective, anti-inflammatory, hypolipidemic, hypoglycaemic and antioxidant effects. However, its effect on diabetes-induced depression-like behavior (DID) has not been studied. The current study aimed at studying the effects of PTE on depressive-like behavior in male Wistar rats with T2DM. It was induced by single dose administration of nicotinamide (NA) and streptozotocin (STZ). On day 21, forced swim test (FST) was conducted for the confirmation of DID. Rats demonstrating depressive-like behavior were treated with PTE (10, 20 and 40 mg/kg), metformin (MET; 500 mg/kg) and fluoxetine (FLX; 10 mg/kg) for 28 days, orally. At the end of the treatment, behavioral assessment for depression, blood glucose (BG) and lipid profile, oxidative stress markers, gene expression of Sirtuin 1 (SIRT1) and histopathological parameters were investigated. PTE significantly reduced weight loss and mitigated depressive-like behavior paradigms such as sucrose preference test (SPT), resident intruder test (RIT) and open field test (OFT). It significantly restored BG, lipid and liver profile, creatinine and antioxidant level. It Improved glucose tolerance, insulin resistance (IR) and reduced cortisol level as well as inflammatory markers. It showed improved morphology of the pancreas, brain, liver and kidney. Gene expression studies revealed that, PTE significantly increased SIRT1 expression. PTE by its virtue to maintain BG, reduced IR, amelioration of the HPA axis, anti-inflammatory, antioxidant activity and improvement of SIRT1 gene expression proved to be effective in the treatment of DID-like behavior in rats.
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Affiliation(s)
- Rashmi Patil
- Department of Pharmacology, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Erandwane, Pune 411038, India
| | - Urmila Aswar
- Department of Pharmacology, Poona College of Pharmacy, Bharati Vidyapeeth (Deemed to be University), Erandwane, Pune 411038, India.
| | - Nishant Vyas
- Logical Life Sciences Private Limited, Pune, India
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16
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Ly M, Yu GZ, Mian A, Cramer A, Meysami S, Merrill DA, Samara A, Eisenstein SA, Hershey T, Babulal GM, Lenze EJ, Morris JC, Benzinger TLS, Raji CA. Neuroinflammation: A Modifiable Pathway Linking Obesity, Alzheimer's disease, and Depression. Am J Geriatr Psychiatry 2023; 31:853-866. [PMID: 37365110 PMCID: PMC10528955 DOI: 10.1016/j.jagp.2023.06.001] [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: 12/10/2022] [Revised: 05/31/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023]
Abstract
Obesity, depression and Alzheimer's disease (AD) are three major interrelated modern health conditions with complex relationships. Early-life depression may serve as a risk factor for AD, while late-life depression may be a prodrome of AD. Depression affects approximately 23% of obese individuals, and depression itself raises the risk of obesity by 37%. Mid-life obesity independently increases AD risk, while late-life obesity, particularly metabolically healthy obesity, may offer protection against AD pathology. Chronic inflammation serves as a key mechanism linking obesity, AD, and depression, encompassing systemic inflammation from metabolic disturbances, immune dysregulation through the gut microbiome, and direct interactions with amyloid pathology and neuroinflammation. In this review, we explore the biological mechanisms of neuroinflammation in relation to obesity, AD, and depression. We assess the efficacy of therapeutic interventions targeting neuroinflammation and discuss current and future radiological imaging initiatives for studying neuroinflammation. By comprehending the intricate interplay among depression, obesity, and AD, especially the role of neuroinflammation, we can advance our understanding and develop innovative strategies for prevention and treatment.
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Affiliation(s)
- Maria Ly
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Gary Z Yu
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Ali Mian
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO
| | | | - Somayeh Meysami
- Pacific Brain Health Center, Pacific Neuroscience Institute Foundation, Santa Monica, CA; Department of Translational Neurosciences, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA
| | - David A Merrill
- Pacific Brain Health Center, Pacific Neuroscience Institute Foundation, Santa Monica, CA; Department of Translational Neurosciences, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA
| | - Amjad Samara
- Department of Neurology, Washington University in St. Louis, St. Louis, MO
| | - Sarah A Eisenstein
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO; Department of Psychiatry, Washington University in St. Louis, St. Louis, MO
| | - Tamara Hershey
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO; Department of Psychological & Brain Sciences, Washington University School of Medicine, St. Louis, MO
| | - Ganesh M Babulal
- Department of Neurology, Washington University in St. Louis, St. Louis, MO; Institute of Public Health, Washington University in St. Louis, St. Louis, MO; Department of Psychology, Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa; Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Eric J Lenze
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO
| | - John C Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO; Department of Neurological Surgery, Washington University in St. Louis, St. Louis, MO
| | - Cyrus A Raji
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO; Department of Neurology, Washington University in St. Louis, St. Louis, MO.
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17
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Papadopoulou SK, Pavlidou E, Dakanalis A, Antasouras G, Vorvolakos T, Mentzelou M, Serdari A, Pandi AL, Spanoudaki M, Alexatou O, Aggelakou EP, Giaginis C. Postpartum Depression Is Associated with Maternal Sociodemographic and Anthropometric Characteristics, Perinatal Outcomes, Breastfeeding Practices, and Mediterranean Diet Adherence. Nutrients 2023; 15:3853. [PMID: 37686885 PMCID: PMC10490519 DOI: 10.3390/nu15173853] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/01/2023] [Accepted: 09/02/2023] [Indexed: 09/10/2023] Open
Abstract
Postpartum depression, with a prevalence ranging between 14% and 25% worldwide, has been considered an urgent health concern that negatively affects both mothers' and their infants' health. Postpartum depression may negatively affect maternal sociodemographic and anthropometric parameters and lifestyle factors. Nutrition has recently been identified as a crucial factor for the management and co-treatment of postpartum depression. This survey aims to determine the possible association of postpartum depression with mothers' socio-demographic and anthropometric characteristics, perinatal outcomes, breastfeeding practices, and Mediterranean diet (MD) adherence. METHODS This is a cross-sectional survey, which was performed on 3941 women during the postpartum period. Postpartum depression was assessed by the Edinburgh Postnatal Depression Scale (EPDS). Anthropometric parameters and perinatal outcomes were retrieved from mothers' medical records. Sociodemographic data and breastfeeding practices were recorded by face-to-face interviews between enrolled mothers and trained personnel. Mediterranean diet adherence was assessed by MedDietScore. Both univariate and multivariate binary logistic regression were applied for analyzing our data. RESULTS Postpartum depression was significantly associated with lower educational level, Greek nationality, higher prevalence of multiparity and overweight/obesity postpartum, higher incidence of caesarean section and not breastfeeding, and lower levels of MD adherence. In multivariate analysis, postpartum depression was independently associated with mothers' educational level, postpartum BMI status, type of delivery, breastfeeding practices, and MD adherence after adjusting for multiple confounding factors. CONCLUSIONS This study has provided evidence that elevated MD compliance was related to a decreased risk of postpartum depression. Additionally, postpartum depression was associated with multiple sociodemographic and anthropometric parameters, perinatal outcomes, and breastfeeding practices. Future well-designed, prospective studies with high-quality methodology should be performed to obtain conclusive results.
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Affiliation(s)
- Sousana K. Papadopoulou
- Department of Nutritional Sciences and Dietetics, School of Health Sciences, International Hellenic University, 57400 Thessaloniki, Greece;
| | - Eleni Pavlidou
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Lemnos, Greece; (E.P.); (G.A.); (M.M.); (A.-L.P.); (O.A.); (E.-P.A.); (C.G.)
| | - Antonios Dakanalis
- Department of Mental Health, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy;
- School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy
| | - Georgios Antasouras
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Lemnos, Greece; (E.P.); (G.A.); (M.M.); (A.-L.P.); (O.A.); (E.-P.A.); (C.G.)
| | - Theofanis Vorvolakos
- Department of Psychiatry, School of Health Sciences, University General Hospital of Alexandroupolis, Democritus University of Thrace, 68100 Alexandroupolis, Greece;
| | - Maria Mentzelou
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Lemnos, Greece; (E.P.); (G.A.); (M.M.); (A.-L.P.); (O.A.); (E.-P.A.); (C.G.)
| | - Aspasia Serdari
- Department of Psychiatry and Child Psychiatry, School of Medicine, Democritus University of Thrace, 68100 Alexandroupolis, Greece;
| | - Aimilia-Lynn Pandi
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Lemnos, Greece; (E.P.); (G.A.); (M.M.); (A.-L.P.); (O.A.); (E.-P.A.); (C.G.)
| | - Maria Spanoudaki
- Department of Nutritional Sciences and Dietetics, School of Health Sciences, International Hellenic University, 57400 Thessaloniki, Greece;
| | - Olga Alexatou
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Lemnos, Greece; (E.P.); (G.A.); (M.M.); (A.-L.P.); (O.A.); (E.-P.A.); (C.G.)
| | - Exakousti-Petroula Aggelakou
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Lemnos, Greece; (E.P.); (G.A.); (M.M.); (A.-L.P.); (O.A.); (E.-P.A.); (C.G.)
| | - Constantinos Giaginis
- Department of Food Science and Nutrition, School of the Environment, University of the Aegean, 81400 Myrina, Lemnos, Greece; (E.P.); (G.A.); (M.M.); (A.-L.P.); (O.A.); (E.-P.A.); (C.G.)
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18
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Maina JG, Balkhiyarova Z, Nouwen A, Pupko I, Ulrich A, Boissel M, Bonnefond A, Froguel P, Khamis A, Prokopenko I, Kaakinen M. Bidirectional Mendelian Randomization and Multiphenotype GWAS Show Causality and Shared Pathophysiology Between Depression and Type 2 Diabetes. Diabetes Care 2023; 46:1707-1714. [PMID: 37494602 PMCID: PMC10465984 DOI: 10.2337/dc22-2373] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 06/21/2023] [Indexed: 07/28/2023]
Abstract
OBJECTIVE Depression is a common comorbidity of type 2 diabetes. We assessed the causal relationships and shared genetics between them. RESEARCH DESIGN AND METHODS We applied two-sample, bidirectional Mendelian randomization (MR) to assess causality between type 2 diabetes and depression. We investigated potential mediation using two-step MR. To identify shared genetics, we performed 1) genome-wide association studies (GWAS) separately and 2) multiphenotype GWAS (MP-GWAS) of type 2 diabetes (19,344 case subjects, 463,641 control subjects) and depression using major depressive disorder (MDD) (5,262 case subjects, 86,275 control subjects) and self-reported depressive symptoms (n = 153,079) in the UK Biobank. We analyzed expression quantitative trait locus (eQTL) data from public databases to identify target genes in relevant tissues. RESULTS MR demonstrated a significant causal effect of depression on type 2 diabetes (odds ratio 1.26 [95% CI 1.11-1.44], P = 5.46 × 10-4) but not in the reverse direction. Mediation analysis indicated that 36.5% (12.4-57.6%, P = 0.0499) of the effect from depression on type 2 diabetes was mediated by BMI. GWAS of type 2 diabetes and depressive symptoms did not identify shared loci. MP-GWAS identified seven shared loci mapped to TCF7L2, CDKAL1, IGF2BP2, SPRY2, CCND2-AS1, IRS1, CDKN2B-AS1. MDD has not brought any significant association in either GWAS or MP-GWAS. Most MP-GWAS loci had an eQTL, including single nucleotide polymorphisms implicating the cell cycle gene CCND2 in pancreatic islets and brain and the insulin signaling gene IRS1 in adipose tissue, suggesting a multitissue and pleiotropic underlying mechanism. CONCLUSIONS Our results highlight the importance to prevent type 2 diabetes at the onset of depressive symptoms and the need to maintain a healthy weight in the context of its effect on depression and type 2 diabetes comorbidity.
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Affiliation(s)
- Jared G. Maina
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
| | - Zhanna Balkhiyarova
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
- People-Centred Artificial Intelligence Institute, University of Surrey, Guildford, U.K
| | - Arie Nouwen
- Department of Psychology, Middlesex University, London, U.K
| | - Igor Pupko
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Anna Ulrich
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Mathilde Boissel
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
| | - Amélie Bonnefond
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Philippe Froguel
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Amna Khamis
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
| | - Inga Prokopenko
- INSERM UMR 1283, CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, Lille, France
- University of Lille, Lille University Hospital, Lille, France
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
- People-Centred Artificial Intelligence Institute, University of Surrey, Guildford, U.K
| | - Marika Kaakinen
- Department of Clinical and Experimental Medicine, University of Surrey, Guildford, U.K
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, U.K
- People-Centred Artificial Intelligence Institute, University of Surrey, Guildford, U.K
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19
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Possidente C, Fanelli G, Serretti A, Fabbri C. Clinical insights into the cross-link between mood disorders and type 2 diabetes: A review of longitudinal studies and Mendelian randomisation analyses. Neurosci Biobehav Rev 2023; 152:105298. [PMID: 37391112 DOI: 10.1016/j.neubiorev.2023.105298] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 05/15/2023] [Accepted: 06/26/2023] [Indexed: 07/02/2023]
Abstract
Mood disorders and type 2 diabetes mellitus (T2DM) are prevalent conditions that often co-occur. We reviewed the available evidence from longitudinal and Mendelian randomisation (MR) studies on the relationship between major depressive disorder (MDD), bipolar disorder and T2DM. The clinical implications of this comorbidity on the course of either condition and the impact of antidepressants, mood stabilisers, and antidiabetic drugs were examined. Consistent evidence indicates a bidirectional association between mood disorders and T2DM. T2DM leads to more severe depression, whereas depression is associated with more complications and higher mortality in T2DM. MR studies demonstrated a causal effect of MDD on T2DM in Europeans, while a suggestive causal association in the opposite direction was found in East Asians. Antidepressants, but not lithium, were associated with a higher T2DM risk in the long-term, but confounders cannot be excluded. Some oral antidiabetics, such as pioglitazone and liraglutide, may be effective on depressive and cognitive symptoms. Studies in multi-ethnic populations, with a more careful assessment of confounders and appropriate power, would be important.
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Affiliation(s)
- Chiara Possidente
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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20
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Alruwaili NS, Al-Kuraishy HM, Al-Gareeb AI, Albuhadily AK, Ragab AE, Alenazi AA, Alexiou A, Papadakis M, Batiha GES. Antidepressants and type 2 diabetes: highways to knowns and unknowns. Diabetol Metab Syndr 2023; 15:179. [PMID: 37653558 PMCID: PMC10470155 DOI: 10.1186/s13098-023-01149-z] [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: 04/26/2023] [Accepted: 08/09/2023] [Indexed: 09/02/2023] Open
Abstract
Type 2 diabetes (T2D) is a metabolic disease caused by the development of insulin resistance (IR), relative insulin deficiency, and hyperglycemia. Hyperglycemia-induced neurochemical dysregulation activates the progression of depression in T2D patients. Therefore, management of depression by antidepressant agents improves glucose homeostasis and insulin sensitivity. However, prolong use of antidepressant drugs may increase the risk for the development of T2D. However, there is strong controversy concerning the use of antidepressant drugs in T2D. Therefore, this review try to elucidate the potential effects of antidepressant drugs in T2D regarding their detrimental and beneficial effects.
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Affiliation(s)
- Nahi Sabih Alruwaili
- Eradah Complex of Mental Health -Northern Border Region, Ministry of Health, Al Bahah, Saudi Arabia
| | - Hayder M Al-Kuraishy
- Department of Clinical pharmacology and Medicine, College of Medicine, Mustansiriyah University, Baghdad, Iraq
| | - Ali I Al-Gareeb
- Department of Clinical pharmacology and Medicine, College of Medicine, Mustansiriyah University, Baghdad, Iraq
| | - Ali K Albuhadily
- Department of Clinical pharmacology and Medicine, College of Medicine, Mustansiriyah University, Baghdad, Iraq
| | - Amany E Ragab
- Department of Pharmacognosy, Faculty of Pharmacy, Tanta University, Tanta, Egypt.
| | | | - Athanasios Alexiou
- Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW, 2770, Australia
- AFNP Med, Wien, 1030, Austria
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten-Herdecke, Wuppertal, 42283, Germany.
| | - Gaber El-Saber Batiha
- Department of Pharmacology and Therapeutics, Faculty of Veterinary Medicine, Damanhour University, Damanhour, AlBeheira, 22511, Egypt
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21
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Liu J, Zhu X, Liu Y, Jia F, Yuan H, Wang Q, Zhang X, Li Z, Du X, Zhang X. Association between triglyceride glucose index and suicide attempts in patients with first-episode drug-naïve major depressive disorder. Front Psychiatry 2023; 14:1231524. [PMID: 37575577 PMCID: PMC10416446 DOI: 10.3389/fpsyt.2023.1231524] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 07/17/2023] [Indexed: 08/15/2023] Open
Abstract
Objective Triglyceride glucose (TyG) index has been suggested as an alternative indicator of insulin resistance (IR); however, the association between TyG index and suicide attempts (SA) in major depressive disorder (MDD) is unclear. The aim of this study was to investigate the relationship between TyG index and SA in Chinese patients with first-episode drug-naïve (FEDN) MDD. Methods This cross-sectional study enrolled 1,718 patients with FEDN MDD aged 34.9 ± 12.4 years from the First Hospital of Shanxi Medical University (Taiyuan, Shanxi Province, China) from September 2016 to December 2018. Multivariable binary logistic regression analysis was used to estimate the association between TyG index and the risk of SA. A two-piecewise linear regression model was used to investigate the threshold effects if non-linearity associations existed. Interaction and stratified analyses were performed based on sex, education, marital status, comorbid anxiety, and psychotic symptoms. Results Multivariable logistic regression analysis revealed that TyG index was positively associated with the risk of SA after adjusting for confounders (OR = 1.35, 95% CI: 1.04-1.75, p = 0.03). Smoothing plots also showed a nonlinear relationship between TyG index and SA, with the inflection point of TyG index being 9.29. On the right of the inflection point, a positive association between TyG index and SA was detected (OR = 3.47, 95% CI: 1.81 to 6.66, p < 0.001), while no significant association was observed on the left side of the inflection point (OR = 1.14, 95% CI: 0.79 to 1.66, p = 0.476). Conclusion The relationship between TyG index and SA risk was non-linear and exhibited a threshold effect in Chinese patients with FEDN MDD. When TyG index was greater than 9.29, they showed a significant positive correlation.
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Affiliation(s)
- Junjun Liu
- Nanjing Meishan Hospital, Nanjing, China
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
- Medical College of Soochow University, Suzhou, China
| | - Xiaomin Zhu
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yang Liu
- Nanjing Meishan Hospital, Nanjing, China
| | - Fengnan Jia
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
- Medical College of Soochow University, Suzhou, China
| | | | - Qingyuan Wang
- Clinical Medical Department, The Second Clinical Medical College, Nanjing Medical University, Nanjing, China
| | - Xiaobin Zhang
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Zhe Li
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiangdong Du
- Suzhou Guangji Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
- Medical College of Soochow University, Suzhou, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
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22
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Beaver JN, Weber BL, Ford MT, Anello AE, Ruffin KM, Kassis SK, Gilman TL. Generalization of contextual fear is sex-specifically affected by high salt intake. PLoS One 2023; 18:e0286221. [PMID: 37440571 PMCID: PMC10343085 DOI: 10.1371/journal.pone.0286221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 05/10/2023] [Indexed: 07/15/2023] Open
Abstract
A hallmark symptom of many anxiety disorders, and multiple neuropsychiatric disorders more broadly, is generalization of fearful responses to non-fearful stimuli. Anxiety disorders are often comorbid with cardiovascular diseases. One established, and modifiable, risk factor for cardiovascular diseases is salt intake. Yet, investigations into how excess salt consumption affects anxiety-relevant behaviors remains little explored. Moreover, no studies have yet assessed how high salt intake influences generalization of fear. Here, we used adult C57BL/6J mice of both sexes to evaluate the influence of two or six weeks of high salt consumption (4.0% NaCl), compared to controls (0.4% NaCl), on contextual fear acquisition, expression, and generalization. Further, we measured osmotic and physiological stress by quantifying serum osmolality and corticosterone levels, respectively. Consuming excess salt did not influence contextual fear acquisition nor discrimination between the context used for training and a novel, neutral context when training occurred 48 prior to testing. However, when a four week delay between training and testing was employed to induce natural fear generalization processes, we found that high salt intake selectively increases contextual fear generalization in females, but the same diet reduces contextual fear generalization in males. These sex-specific effects were independent of any changes in serum osmolality nor corticosterone levels, suggesting the behavioral shifts are a consequence of more subtle, neurophysiologic changes. This is the first evidence of salt consumption influencing contextual fear generalization, and adds information about sex-specific effects of salt that are largely missing from current literature.
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Affiliation(s)
- Jasmin N. Beaver
- Department of Psychological Sciences, Kent State University, Kent, Ohio, United States of America
- Brain Health Research Institute, Kent State University, Kent, Ohio, United States of America
| | - Brady L. Weber
- Department of Psychological Sciences, Kent State University, Kent, Ohio, United States of America
- Brain Health Research Institute, Kent State University, Kent, Ohio, United States of America
| | - Matthew T. Ford
- Department of Psychological Sciences, Kent State University, Kent, Ohio, United States of America
| | - Anna E. Anello
- Department of Psychological Sciences, Kent State University, Kent, Ohio, United States of America
- Brain Health Research Institute, Kent State University, Kent, Ohio, United States of America
| | - Kaden M. Ruffin
- Department of Psychological Sciences, Kent State University, Kent, Ohio, United States of America
| | - Sarah K. Kassis
- Department of Psychological Sciences, Kent State University, Kent, Ohio, United States of America
- Brain Health Research Institute, Kent State University, Kent, Ohio, United States of America
| | - T. Lee Gilman
- Department of Psychological Sciences, Kent State University, Kent, Ohio, United States of America
- Brain Health Research Institute, Kent State University, Kent, Ohio, United States of America
- Healthy Communities Research Institute, Kent State University, Kent, Ohio, United States of America
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23
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Syeda UA, Battillo D, Visaria A, Malin SK. The importance of exercise for glycemic control in type 2 diabetes. AMERICAN JOURNAL OF MEDICINE OPEN 2023; 9:100031. [PMID: 39035065 PMCID: PMC11256236 DOI: 10.1016/j.ajmo.2023.100031] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 12/01/2022] [Accepted: 01/10/2023] [Indexed: 07/23/2024]
Abstract
Exercise is a first-line therapy recommended for patients with type 2 diabetes (T2D). Although moderate to vigorous exercise (e.g. 150 min/wk) is often advised alongside diet and/or behavior modification, exercise is an independent treatment that can prevent, delay or reverse T2D. Habitual exercise, consisting of aerobic, resistance or their combination, fosters improved short- and long-term glycemic control. Recent work also shows high-intensity interval training is successful at lowering blood glucose, as is breaking up sedentary behavior with short-bouts of light to vigorous movement (e.g. up to 3min). Interestingly, performing afternoon compared with morning as well as post-meal versus pre-meal exercise may yield slightly better glycemic benefit. Despite these efficacious benefits of exercise for T2D care, optimal exercise recommendations remain unclear when considering, dietary, medication, and/or other behaviors.
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Affiliation(s)
- U.S. Afsheen Syeda
- Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ, United States
| | - Daniel Battillo
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ, United States
| | - Aayush Visaria
- Center for Pharmacoepidemiology and Treatment Sciences, Rutgers Institute for Health, Health Care Policy, and Aging Research, New Brunswick, NJ, United States
| | - Steven K. Malin
- Department of Kinesiology and Health, Rutgers University, New Brunswick, NJ, United States
- Center for Pharmacoepidemiology and Treatment Sciences, Rutgers Institute for Health, Health Care Policy, and Aging Research, New Brunswick, NJ, United States
- New Jersey Institute for Food, Nutrition and Health, Rutgers University, New Brunswick, NJ, United States
- Institute of Translational Medicine and Science, Rutgers University, New Brunswick, NJ, United States
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24
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Di Vincenzo JD, O’Brien L, Jacobs I, Jawad MY, Ceban F, Meshkat S, Gill H, Tabassum A, Phan L, Badulescu S, Rosenblat JD, McIntyre RS, Mansur RB. Indirect Calorimetry to Measure Metabolic Rate and Energy Expenditure in Psychiatric Populations: A Systematic Review. Nutrients 2023; 15:nu15071686. [PMID: 37049526 PMCID: PMC10096641 DOI: 10.3390/nu15071686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/13/2023] [Accepted: 03/24/2023] [Indexed: 03/31/2023] Open
Abstract
Psychiatric and metabolic disorders are highly comorbid and the relationship between these disorders is bidirectional. The mechanisms underlying the association between psychiatric and metabolic disorders are presently unclear, which warrants investigation into the dynamics of the interplay between metabolism, substrate utilization, and energy expenditure in psychiatric populations, and how these constructs compare to those in healthy controls. Indirect calorimetry (IC) methods are a reliable, minimally invasive means for assessing metabolic rate and substrate utilization in humans. This review synthesizes the extant literature on the use of IC on resting metabolism in psychiatric populations to investigate the interaction between psychiatric and metabolic functioning. Consistently, resting energy expenditures and/or substrate utilization values were significantly different between psychiatric and healthy populations in the studies contained in this review. Furthermore, resting energy expenditure values were systematically overestimated when derived from predictive equations, compared to when measured by IC, in psychiatric populations. High heterogeneity between study populations (e.g., differing diagnoses and drug regimens) and methodologies (e.g., differing posture, time of day, and fasting status at measurement) impeded the synthesis of results. Standardized IC protocols would benefit this line of research by enabling meta-analyses, revealing trends within and between different psychiatric disorders.
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Affiliation(s)
- Joshua Daniel Di Vincenzo
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
| | - Liam O’Brien
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON M5S 2W6, Canada; (L.O.); (I.J.)
| | - Ira Jacobs
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON M5S 2W6, Canada; (L.O.); (I.J.)
- The Tannenbaum Institute for Science in Sport, University of Toronto, Toronto, ON M5S 2W6, Canada
| | - Muhammad Youshay Jawad
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
- Brain and Cognition Discovery Foundation, Toronto, ON M4W 3W4, Canada
| | - Felicia Ceban
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
- Brain and Cognition Discovery Foundation, Toronto, ON M4W 3W4, Canada
| | - Shakila Meshkat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
| | - Hartej Gill
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
| | - Aniqa Tabassum
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
| | - Lee Phan
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
| | - Sebastian Badulescu
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
| | - Joshua Daniel Rosenblat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
- Department of Psychiatry, University of Toronto, 250 College Street, 8th Floor, Toronto, ON M5T 1R8, Canada
| | - Roger S. McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
- Brain and Cognition Discovery Foundation, Toronto, ON M4W 3W4, Canada
| | - Rodrigo B. Mansur
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON M5T 2S8, Canada; (J.D.D.V.)
- Department of Psychiatry, University of Toronto, 250 College Street, 8th Floor, Toronto, ON M5T 1R8, Canada
- Correspondence:
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25
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Lee DY, Han SY, Lee K, Lee Y, Phan L, Mansur RB, Rosenblat JD, McIntyre RS. Association of a low protein diet with depressive symptoms and poor health-related quality of life in CKD. J Psychiatr Res 2023; 161:282-288. [PMID: 36947959 DOI: 10.1016/j.jpsychires.2023.02.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 02/14/2023] [Accepted: 02/22/2023] [Indexed: 03/24/2023]
Abstract
OBJECTIVES A low protein diet (LPD) for chronic kidney disease (CKD) is a core dietary therapy to slow CKD progression. A study showed depressive symptoms are more common in populations with an LPD. In this cross-sectional study, we evaluated depressive symptoms and health-related quality of life (HRQOL) in patients with CKD. METHODS A total of 571 CKD patients were enrolled in this study. The LPD was defined with dietary protein intake ≤0.8 g/kg/day. We divided the CKD into mild CKD and advanced CKD according to severity, as well as diabetic kidney disease (DKD) and non-DKD according to DM. The logistic regression analysis was performed to evaluate the association between an LPD and depressive symptoms as well as HRQOL in CKD patients and each subgroup. RESULTS An LPD had significantly higher unadjusted Odds Ratio (OR) (1.81, [95% for Confidence Interval (CI), 1.18-2.76]) and multivariate-adjusted OR (1.80, [1.15-2.81]) for depressive symptoms. Moreover, an LPD showed significantly higher unadjusted OR (2.08, 1.44-3.01]) and multivariate OR (2.04, [1.38-3.02]) for poor HRQOL. In DKD subgroups, an LPD had a significant increase in unadjusted OR (2.00, [1.12-3.57]) and multivariate OR (1.99, [1.01-3.44]) for depressive symptoms. The advanced CKD group also showed that an LPD had significantly higher unadjusted OR (1.97, [1.13-3.42]) and multivariate OR (2.03, [1.12-3.73]) for depressive symptoms. CONCLUSIONS An LPD for CKD patients was significantly associated with depressive symptoms and poor HRQOL. Subgroup analysis indicated that DKD and advanced CKD are more predisposed to depressive symptoms and poor HRQOL.
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Affiliation(s)
- Dong-Young Lee
- Department of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea
| | - Sang Youb Han
- Department of Internal Medicine, Inje University College of Medicine, Ilsan-Paik Hospital, Goyang, Gyeonggi, Republic of Korea
| | - Kangbaek Lee
- Yonsei Miso Dental Clinic, Seongnam, Gyeonggi, Republic of Korea
| | - Young Lee
- Veterans Medical Research Institute, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea
| | - Lee Phan
- Department of Psychiatry, University of Toronto, Ontario, Canada
| | - Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit, Poul Hansen Family Centre for Depression, University of Health Network, Toronto, Ontario, Canada; Braxia Health, Mississauga, Ontario, Canada; Department of Psychiatry, University of Toronto, Ontario, Canada
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, Poul Hansen Family Centre for Depression, University of Health Network, Toronto, Ontario, Canada; Braxia Health, Mississauga, Ontario, Canada; Department of Psychiatry, University of Toronto, Ontario, Canada
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, Poul Hansen Family Centre for Depression, University of Health Network, Toronto, Ontario, Canada; Braxia Health, Mississauga, Ontario, Canada; Department of Psychiatry, University of Toronto, Ontario, Canada.
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26
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Kuckuck S, van der Valk ES, Scheurink AJW, van der Voorn B, Iyer AM, Visser JA, Delhanty PJD, van den Berg SAA, van Rossum EFC. Glucocorticoids, stress and eating: The mediating role of appetite-regulating hormones. Obes Rev 2023; 24:e13539. [PMID: 36480471 PMCID: PMC10077914 DOI: 10.1111/obr.13539] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 11/07/2022] [Accepted: 11/15/2022] [Indexed: 12/13/2022]
Abstract
Disrupted hormonal appetite signaling plays a crucial role in obesity as it may lead to uncontrolled reward-related eating. Such disturbances can be induced not only by weight gain itself but also by glucocorticoid overexposure, for example, due to chronic stress, disease, or medication use. However, the exact pathways are just starting to be understood. Here, we present a conceptual framework of how glucocorticoid excess may impair hormonal appetite signaling and, consequently, eating control in the context of obesity. The evidence we present suggests that counteracting glucocorticoid excess can lead to improvements in appetite signaling and may therefore pose a crucial target for obesity prevention and treatment. In turn, targeting hormonal appetite signals may not only improve weight management and eating behavior but may also decrease detrimental effects of glucocorticoid excess on cardio-metabolic outcomes and mood. We conclude that gaining a better understanding of the relationship between glucocorticoid excess and circulating appetite signals will contribute greatly to improvements in personalized obesity prevention and treatment.
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Affiliation(s)
- Susanne Kuckuck
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, Rotterdam, Netherlands.,Obesity Center CGG, Erasmus MC, Room Rg528, P.O. Box 2040, Rotterdam, 3000 CA, Netherlands
| | - Eline S van der Valk
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, Rotterdam, Netherlands.,Obesity Center CGG, Erasmus MC, Room Rg528, P.O. Box 2040, Rotterdam, 3000 CA, Netherlands
| | - Anton J W Scheurink
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands
| | - Bibian van der Voorn
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, Rotterdam, Netherlands.,Obesity Center CGG, Erasmus MC, Room Rg528, P.O. Box 2040, Rotterdam, 3000 CA, Netherlands
| | - Anand M Iyer
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, Rotterdam, Netherlands.,Obesity Center CGG, Erasmus MC, Room Rg528, P.O. Box 2040, Rotterdam, 3000 CA, Netherlands
| | - Jenny A Visser
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, Rotterdam, Netherlands
| | - Patric J D Delhanty
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, Rotterdam, Netherlands
| | - Sjoerd A A van den Berg
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, Rotterdam, Netherlands.,Department of Clinical Chemistry, Erasmus MC, Rotterdam, Netherlands
| | - Elisabeth F C van Rossum
- Department of Internal Medicine, Division of Endocrinology, Erasmus MC, Rotterdam, Netherlands.,Obesity Center CGG, Erasmus MC, Room Rg528, P.O. Box 2040, Rotterdam, 3000 CA, Netherlands
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27
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Wu CY, Cogo-Moreira H, MacIntosh BJ, Edwards JD, Krance SH, Eid M, Schreiner PJ, Launer LJ, Swardfager W. Dynamic relationships between depressive symptoms and insulin resistance over 20 years of adulthood. Psychol Med 2023; 53:1458-1467. [PMID: 36470626 PMCID: PMC10009397 DOI: 10.1017/s0033291721003032] [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: 03/26/2021] [Revised: 07/06/2021] [Accepted: 07/12/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND Bidirectional longitudinal relationships between depression and diabetes have been observed, but the dominant direction of their temporal relationships remains controversial. METHODS The random-intercept cross-lagged panel model decomposes observed variables into a latent intercept representing the traits, and occasion-specific latent 'state' variables. This permits correlations to be assessed between the traits, while longitudinal 'cross-lagged' associations and cross-sectional correlations can be assessed between occasion-specific latent variables. We examined dynamic relationships between depressive symptoms and insulin resistance across five visits over 20 years of adulthood in the population-based Coronary Artery Risk Development in Young Adults (CARDIA) study. Possible differences based on population group (Black v. White participants), sex and years of education were tested. Depressive symptoms and insulin resistance were quantified using the Center for Epidemiologic Studies Depression (CES-D) scale and the homeostatic model assessment for insulin resistance (HOMA-IR), respectively. RESULTS Among 4044 participants (baseline mean age 34.9 ± 3.7 years, 53% women, 51% Black participants), HOMA-IR and CES-D traits were weakly correlated (r = 0.081, p = 0.002). Some occasion-specific correlations, but no cross-lagged associations were observed overall. Longitudinal dynamics of these relationships differed by population groups such that HOMA-IR at age 50 was associated with CES-D score at age 55 (β = 0.076, p = 0.038) in White participants only. Longitudinal dynamics were consistent between sexes and based on education. CONCLUSIONS The relationship between depressive symptoms and insulin resistance was best characterized by weak correlations between occasion-specific states and enduring traits, with weak evidence that insulin resistance might be temporally associated with subsequent depressive symptoms among White participants later in adulthood.
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Affiliation(s)
- Che-Yuan Wu
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Hugo Cogo-Moreira
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Education, ICT and Learning, Østfold University College, Halden, Norway
| | - Bradley J. MacIntosh
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Jodi D. Edwards
- University of Ottawa Heart Institute, University of Ottawa, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- ICES, Ottawa, Ontario, Canada
| | - Saffire H. Krance
- Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Michael Eid
- Department of Educational Science and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minnesota, USA
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Sciences, National Institutes of Health, Bethesda, Maryland, USA
| | - Walter Swardfager
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
- Dr. Sandra Black Centre for Brain Resilience and Recovery, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
- Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Ontario, Canada
- KITE UHN Toronto Rehabilitation Institute, Toronto, Ontario, Canada
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28
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Thapaliya B, Ray B, Farahdel B, Suresh P, Sapkota R, Holla B, Mahadevan J, Chen J, Vaidya N, Perrone-Bizzozero N, Benegal V, Schumann G, Calhoun VD, Liu J. Cross-continental environmental and genome-wide association study on children and adolescent anxiety and depression. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.02.06.23285530. [PMID: 36798402 PMCID: PMC9934785 DOI: 10.1101/2023.02.06.23285530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Anxiety and depression in children and adolescents warrant special attention as a public health issue given their devastating and long-term effects on development and mental health. Multiple factors, ranging from genetic vulnerabilities to environmental stressors, influence the risk for the disorders. This study aimed to understand how environmental factors and genomics affect children and adolescents anxiety and depression across three cohorts: Adolescent Brain and Cognitive Development Study (US, age of 9-10), Consortium on Vulnerability to Externalizing Disorders and Addictions (INDIA, age of 6-17) and IMAGEN (EUROPE, age of 14). We performed data harmonization and identified the environmental impact on anxiety/depression using a linear mixed-effect model, recursive feature elimination regression, and the LASSO regression model. Subsequently, genome-wide association analyses with consideration of significant environmental factors were performed for all three cohorts by mega-analysis and meta-analysis, followed by functional annotations. The results showed that multiple environmental factors contributed to the risk of anxiety and depression during development, where early life stress and school risk had the most significant and consistent impact across all three cohorts. Both meta and mega-analysis identified a novel SNP rs79878474 in chr11p15 to be the most promising SNP associated with anxiety and depression. Gene set analysis on the common genes mapped from top promising SNPs of both meta and mega analyses found significant enrichment in regions of chr11p15 and chr3q26, in the function of potassium channels and insulin secretion, in particular Kv3, Kir-6.2, SUR potassium channels encoded by the KCNC1, KCNJ11, and ABCCC8 genes respectively, in chr11p15. Tissue enrichment analysis showed significant enrichment in the small intestine and a trend of enrichment in the cerebellum. Our findings provide evidence of consistent environmental impact from early life stress and school risks on anxiety and depression during development and also highlight the genetic association between mutations in potassium channels along with the potential role of the cerebellum region, which are worthy of further investigation.
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Affiliation(s)
- Bishal Thapaliya
- Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science
- Department of Computer Science, Georgia State University, Atlanta, USA
| | - Bhaskar Ray
- Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science
- Department of Computer Science, Georgia State University, Atlanta, USA
| | - Britny Farahdel
- Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science
- Department of Computer Science, Georgia State University, Atlanta, USA
| | - Pranav Suresh
- Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science
- Department of Computer Science, Georgia State University, Atlanta, USA
| | - Ram Sapkota
- Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science
- Department of Computer Science, Georgia State University, Atlanta, USA
| | | | | | - Bharath Holla
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jayant Mahadevan
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jiayu Chen
- Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science
- Department of Computer Science, Georgia State University, Atlanta, USA
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Nora Perrone-Bizzozero
- Department of Neurosciences, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Vivek Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine, Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine, Institute for Science and Technology of Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Vince D. Calhoun
- Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science
- Department of Computer Science, Georgia State University, Atlanta, USA
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Jingyu Liu
- Tri-Institutional Center for Translational Research in Neuro Imaging and Data Science
- Department of Computer Science, Georgia State University, Atlanta, USA
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29
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Volchegorskii IA, Rassokhina LM, Miroshnichenko IU. [Dopaminergic potential of domestic 3-hydroxypyridine and succinic acid derivatives and prospects for their therapeutic «retargeting»]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:21-29. [PMID: 37655406 DOI: 10.17116/jnevro202312308121] [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] [Indexed: 09/02/2023]
Abstract
The review is devoted to the assessment of the pharmacological effects of 3-hydroxypyridine and succinic acid derivatives (emoxipin, reamberin and mexidol) from the standpoint of their dopaminergic activity. A systematic analysis of the data has been performed, allowing us to consider emoxipin, reamberin and mexidol as «normalizers of dopaminergic neurotransmission», the dopaminergic action of which in its phenotype corresponds to the effects of partial dopamine receptor agonists. The position that the dopaminergic effect, antioxidant and antidepressant potential of drugs containing 2-ethyl-6-methyl-3-oxypyridine (emoxipine and mexidol) are associated with their inhibitory effect on monoamine oxidase-A (MAO-A) has been substantiated. A direct relationship between the stimulating effect of succinate-containing drugs (reamberin and mexidol) on MAO-B, their prooxidant activity, insulin-potentiating and antidepressant effects was analyzed. A hypothesis has been put forward on the general pathological significance of dopaminergic regulation disorders, the correction of which with the 3-hydroxypyridine and succinic acid derivatives can be considered as a promising strategy for improving the complex therapy of socially significant and common human diseases.
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Affiliation(s)
| | - L M Rassokhina
- South Ural State Medical University, Chelyabinsk, Russia
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30
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Fanelli G, Mota NR, Salas-Salvadó J, Bulló M, Fernandez-Aranda F, Camacho-Barcia L, Testa G, Jiménez-Murcia S, Bertaina-Anglade V, Franke B, Poelmans G, van Gils V, Jansen WJ, Vos SJB, Wimberley T, Dalsgaard S, Barta C, Serretti A, Fabbri C, Bralten J. The link between cognition and somatic conditions related to insulin resistance in the UK Biobank study cohort: a systematic review. Neurosci Biobehav Rev 2022; 143:104927. [PMID: 36367493 DOI: 10.1016/j.neubiorev.2022.104927] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 10/14/2022] [Accepted: 10/23/2022] [Indexed: 11/09/2022]
Abstract
Clinical and genomic studies have shown an overlap between neuropsychiatric disorders and insulin resistance (IR)-related somatic conditions, including obesity, type 2 diabetes, and cardiovascular diseases. Impaired cognition is often observed among neuropsychiatric disorders, where multiple cognitive domains may be affected. In this review, we aimed to summarise previous evidence on the relationship between IR-related diseases/traits and cognitive performance in the large UK Biobank study cohort. Electronic searches were conducted on PubMed, Scopus, and Web of Science until April 2022. Eighteen articles met the inclusion criteria and were qualitatively reviewed. Overall, there is substantial evidence for an association between IR-related cardio-metabolic diseases/traits and worse performance on various cognitive domains, which is largely independent of possible confoundings. The most consistent findings referred to IR-related associations with poorer verbal and numerical reasoning ability, as well as slower processing speed. The observed associations might be mediated by alterations in immune-inflammation, brain integrity/connectivity, and/or comorbid somatic or psychiatric diseases/traits. Our findings provide impetus for further research into the underlying neurobiology and possible new therapeutic targets.
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Affiliation(s)
- Giuseppe Fanelli
- Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Nina Roth Mota
- Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Mònica Bulló
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain
| | - Fernando Fernandez-Aranda
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain; Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Department of Psychiatry, Bellvitge University Hospital, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Lucía Camacho-Barcia
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain; Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Department of Psychiatry, Bellvitge University Hospital, Barcelona, Spain
| | - Giulia Testa
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain; Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Department of Psychiatry, Bellvitge University Hospital, Barcelona, Spain
| | - Susana Jiménez-Murcia
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Carlos III Health Institute (ISCIII), Madrid, Spain; Psychoneurobiology of Eating and Addictive Behaviours Group, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain; Department of Psychiatry, Bellvitge University Hospital, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | | | - Barbara Franke
- Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands; Department of Psychiatry, Radboud university medical center, Nijmegen, The Netherlands
| | - Geert Poelmans
- Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands
| | - Veerle van Gils
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and NeuroScience, Maastricht University, Maastricht, The Netherlands
| | - Willemijn J Jansen
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and NeuroScience, Maastricht University, Maastricht, The Netherlands
| | - Stephanie J B Vos
- Alzheimer Center Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and NeuroScience, Maastricht University, Maastricht, The Netherlands
| | - Theresa Wimberley
- National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Søren Dalsgaard
- National Centre for Register-based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark; Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Department of Child and Adolescent Psychiatry, Mental Health Services of the Capital Region, Glostrup, Denmark
| | - Csaba Barta
- Department of Molecular Biology, Institute of Biochemistry and Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Chiara Fabbri
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Janita Bralten
- Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
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31
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Rashidian H, Subramaniapillai M, Park C, Lipsitz O, Zuckerman H, Cao B, Lee Y, Gill H, Rodrigues RN, Di Vincenzo JD, Iacobucci M, Jaberi S, Rosenblat JD, McIntyre RS, Mansur RB. Changes in insulin resistance following antidepressant treatment mediate response in major depressive disorder. J Psychopharmacol 2022; 37:313-317. [PMID: 36377525 PMCID: PMC10076336 DOI: 10.1177/02698811221132473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Insulin resistance (IR) is a potential predictor of antidepressant treatment response. AIMS We assess changes in IR after antidepressant treatment and whether these changes have any effect on treatment response. Also, to see whether changes in IR mediates relationship between C-reactive protein (CRP) and antidepressant efficacy. METHODS This is a secondary analysis of an 8-week, open-label clinical trial with 95 adults experiencing a major depressive episode. Response to vortioxetine was measured using the Montgomery-Åsberg Depression Rating Scale (MADRS). Generalized estimating equation models were utilized for this intent-to-treat analysis. RESULTS When adjusted for age, sex, and body mass index, there was a significant increase in IR following treatment in the overall sample (p = 0.035). This finding was detected in treatment non-responders (p = 0.019), whereas it was not observed in responders (p = 0.329). Mediation analysis revealed that change in IR during treatment was responsible for change in MADRS as well as the relationship between baseline CRP and treatment response. CONCLUSIONS Exacerbation of IR during antidepressant treatment mediated non-response. Conversely in treatment responders IR reduced. Like previous studies, baseline CRP moderated treatment response. This relationship was also mediated by changes in IR. These findings further elucidate the role of IR in terms of antidepressant response as well as potentially explain inflammation's relationship with the latter.
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Affiliation(s)
- Houman Rashidian
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Psychiatry, University of Toronto, Toronto, Ontario
| | | | - Caroline Park
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Orly Lipsitz
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Hannah Zuckerman
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Bing Cao
- School of Psychology and Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, China
| | - Yena Lee
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Institute of Medical Science, University of Toronto, Toronto, Ontario
| | - Hartej Gill
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | | | - Joshua D Di Vincenzo
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Pharmacology, University of Toronto, Toronto, Ontario
| | - Michelle Iacobucci
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Saja Jaberi
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario
| | - Joshua D Rosenblat
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Psychiatry, University of Toronto, Toronto, Ontario
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Psychiatry, University of Toronto, Toronto, Ontario.,Institute of Medical Science, University of Toronto, Toronto, Ontario.,Department of Pharmacology, University of Toronto, Toronto, Ontario.,Brain and Cognition Discovery Foundation, Toronto, Ontario
| | - Rodrigo B Mansur
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario.,Department of Psychiatry, University of Toronto, Toronto, Ontario
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32
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Hu G, Zhang M, Wang Y, Yu M, Zhou Y. Potential of Heterogeneous Compounds as Antidepressants: A Narrative Review. Int J Mol Sci 2022; 23:ijms232213776. [PMID: 36430254 PMCID: PMC9692659 DOI: 10.3390/ijms232213776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/30/2022] [Accepted: 11/05/2022] [Indexed: 11/11/2022] Open
Abstract
Depression is a globally widespread disorder caused by a complicated interplay of social, psychological, and biological factors. Approximately 280 million people are suffering from depression worldwide. Traditional frontline antidepressants targeting monoamine neurotransmitters show unsatisfactory effects. The development and application of novel antidepressants for dissimilar targets are on the agenda. This review characterizes the antidepressant effects of multiple endogenous compounds and/or their targets to provide new insight into the working mechanism of antidepressants. We also discuss perspectives and challenges for the generation of novel antidepressants.
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Affiliation(s)
- Gonghui Hu
- Department of Rehabilitation Medicine, Affiliated Hospital of Qingdao University, Qingdao 266000, China
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Qingdao University, Qingdao 266071, China
- Institute of Brain Sciences and Related Disorders, Qingdao University, Qingdao 266071, China
| | - Meng Zhang
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Qingdao University, Qingdao 266071, China
- Institute of Brain Sciences and Related Disorders, Qingdao University, Qingdao 266071, China
| | - Yuyang Wang
- Department of Rehabilitation Medicine, Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Ming Yu
- Neuroscience and Neurorehabilitation Institute, University of Health and Rehabilitation Sciences, Qingdao 266000, China
| | - Yu Zhou
- Department of Rehabilitation Medicine, Affiliated Hospital of Qingdao University, Qingdao 266000, China
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Qingdao University, Qingdao 266071, China
- Institute of Brain Sciences and Related Disorders, Qingdao University, Qingdao 266071, China
- Neuroscience and Neurorehabilitation Institute, University of Health and Rehabilitation Sciences, Qingdao 266000, China
- Correspondence:
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33
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Ng CH, Xiao J, Chew NWS, Chin YH, Chan KE, Quek J, Lim WH, Tan DJH, Loke RWK, Tan C, Tang ASP, Goh XL, Nah B, Syn N, Young DY, Tamaki N, Huang DQ, Siddiqui MS, Noureddin M, Sanyal A, Muthiah M. Depression in non-alcoholic fatty liver disease is associated with an increased risk of complications and mortality. Front Med (Lausanne) 2022; 9:985803. [PMID: 36275825 PMCID: PMC9582593 DOI: 10.3389/fmed.2022.985803] [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: 07/04/2022] [Accepted: 09/20/2022] [Indexed: 11/16/2022] Open
Abstract
Background and aims The global prevalence of non-alcoholic fatty liver disease (NAFLD) is expected to rise continuously. Furthermore, emerging evidence has also shown the potential for concomitant depression in NAFLD. This study aims to examine the prevalence, risk factors, and adverse events of depression in NAFLD and evaluate whether treated depression can reverse the increased risks of adverse outcomes. Materials and methods This study analyses the 2000–2018 cycles of NHANES that examined liver steatosis with fatty liver index (FLI). The relationship between NAFLD and depression was assessed with a generalized linear mix model and a sensitivity analysis was conducted in the no depression, treated depression, and untreated depression groups. Survival analysis was conducted with cox regression and fine gray sub-distribution model. Results A total of 21,414 patients were included and 6,726 were diagnosed with NAFLD. The risk of depression in NAFLD was 12% higher compared to non-NAFLD individuals (RR: 1.12, CI: 1.00–1.26, p = 0.04). NAFLD individuals with depression were more likely to be older, females, Hispanics or Caucasians, diabetic, and have higher BMI. Individuals with depression have high risk for cardiovascular diseases (CVD) (RR: 1.40, CI: 1.25–1.58, p < 0.01), stroke (RR: 1.71, CI: 1.27–2.23, p < 0.01), all-cause mortality (HR: 1.50, CI: 1.25–1.81, p < 0.01), and cancer-related mortality (SHR: 1.43, CI: 1.14–1.80, p = 0.002) compared to NAFLD individuals without depression. The risk of CVD, stroke, all-cause mortality, and cancer-related mortality in NAFLD individuals with treated depression and depression with untreated treatment was higher compared to individuals without depression. Conclusion This study shows that concomitant depression in NAFLD patients can increase the risk of adverse outcomes. Early screening of depression in high-risk individuals should be encouraged to improve the wellbeing of NAFLD patients.
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Affiliation(s)
- Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore,*Correspondence: Cheng Han Ng, ; orcid.org/0000-0002-8297-1569
| | - Jieling Xiao
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Nicholas W. S. Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore,Department of Cardiology, National University Heart Centre, National University Hospital, Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kai En Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jingxuan Quek
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Darren Jun Hao Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ryan Wai Keong Loke
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Caitlyn Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ansel Shao Pin Tang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xin Lei Goh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Benjamin Nah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore
| | - Nicholas Syn
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Dan Yock Young
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore,Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore,National University Centre for Organ Transplantation, National University Health System, Singapore, Singapore
| | - Nobuharu Tamaki
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
| | - Daniel Q. Huang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore,Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore,National University Centre for Organ Transplantation, National University Health System, Singapore, Singapore
| | - Mohammad Shadab Siddiqui
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA, United States
| | | | - Arun Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA, United States
| | - Mark Muthiah
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore,Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore, Singapore,National University Centre for Organ Transplantation, National University Health System, Singapore, Singapore,Mark Muthiah, ; orcid.org/0000-0002-9724-4743
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Qeva E, Sollazzo C, Bilotta F. Insulin signaling in the central nervous system, a possible pathophysiological mechanism of anesthesia-induced delayed neurocognitive recovery/postoperative neurocognitive disorder: a narrative review. Expert Rev Neurother 2022; 22:839-847. [PMID: 36332201 DOI: 10.1080/14737175.2022.2144234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Impairment in neurocognitive functions ranges between delayed neurocognitive recovery (DNR) and postoperative neurocognitive disorders (pNCD). Incidence varies from 11% after noncardiac surgery to 60% after cardiac surgery. AREAS COVERED Insulin receptors (IRs) signaling pathway in the central nervous system (CNS) could be a possible pathophysiological mechanism of anesthesia-induced DNR/pNCD and perioperative intranasal insulin administration could be a preventive approach. This hypothesis is supported by the following evidence: effects of IRs-CNS signaling pathway on neuromodulation; higher incidence of DNR/pNCD in patients with insulin resistance; neurotoxicity of IRs signaling pathways after anesthetic exposure; improvement of neurocognitive impairment after insulin exposure. This narrative review was conducted after a literature search of PubMed, EMBASE and SCOPUS online medical data performed in May 2022. EXPERT OPINION Perioperative intranasal insulin is shown to be protective and future studies should address: the role of insulin as a neuromodulator; its integration into neuroprotection approaches; patient populations that might benefit from this approach; a well-defined protocol of intranasal insulin administration in a perioperative background and other disciplines; and possible collateral effects.
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Affiliation(s)
- Ega Qeva
- Department of Anesthesia and Intensive Care Medicine, "Sapienza" University of Rome, 'Policlinico Umberto I' Hospital, 00161 Rome, Italy.,Department of Anesthesia, Intensive Care and Emergency, University of Turin, 'Città Della Salute e Della Scienza' Hospital, 10126 Turin, Italy
| | - Camilla Sollazzo
- Department of Anesthesia and Intensive Care Medicine, "Sapienza" University of Rome, 'Policlinico Umberto I' Hospital, 00161 Rome, Italy
| | - Federico Bilotta
- Department of Anesthesia and Intensive Care Medicine, "Sapienza" University of Rome, 'Policlinico Umberto I' Hospital, 00161 Rome, Italy
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35
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Crosstalk between neurological, cardiovascular, and lifestyle disorders: insulin and lipoproteins in the lead role. Pharmacol Rep 2022; 74:790-817. [PMID: 36149598 DOI: 10.1007/s43440-022-00417-5] [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: 07/31/2022] [Revised: 09/03/2022] [Accepted: 09/08/2022] [Indexed: 10/14/2022]
Abstract
Insulin resistance and impaired lipoprotein metabolism contribute to a plethora of metabolic and cardiovascular disorders. These alterations have been extensively linked with poor lifestyle choices, such as consumption of a high-fat diet, smoking, stress, and a redundant lifestyle. Moreover, these are also known to increase the co-morbidity of diseases like Type 2 diabetes mellitus and atherosclerosis. Under normal physiological conditions, insulin and lipoproteins exert a neuroprotective role in the central nervous system. However, the tripping of balance between the periphery and center may alter the normal functioning of the brain and lead to neurological disorders such as Alzheimer's disease, Parkinson's disease, stroke, depression, and multiple sclerosis. These neurological disorders are further characterized by certain behavioral and molecular changes that show consistent overlap with alteration in insulin and lipoprotein signaling pathways. Therefore, targeting these two mechanisms not only reveals a way to manage the co-morbidities associated with the circle of the metabolic, central nervous system, and cardiovascular disorders but also exclusively work as a disease-modifying therapy for neurological disorders. In this review, we summarize the role of insulin resistance and lipoproteins in the progression of various neurological conditions and discuss the therapeutic options currently in the clinical pipeline targeting these two mechanisms; in addition, challenges faced in designing these therapeutic approaches have also been touched upon briefly.
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36
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Severe psychiatric disorders and general medical comorbidities: inflammation-related mechanisms and therapeutic opportunities. Clin Sci (Lond) 2022; 136:1257-1280. [PMID: 36062418 DOI: 10.1042/cs20211106] [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: 04/11/2022] [Revised: 08/16/2022] [Accepted: 08/22/2022] [Indexed: 11/17/2022]
Abstract
Individuals with severe psychiatric disorders, such as mood disorders and schizophrenia, are at increased risk of developing other medical conditions, especially cardiovascular and metabolic diseases. These medical conditions are underdiagnosed and undertreated in these patients contributing to their increased morbidity and mortality. The basis for this increased comorbidity is not well understood, possibly reflecting shared risks factors (e.g. lifestyle risk factors), shared biological mechanisms and/or reciprocal interactions. Among overlapping pathophysiological mechanisms, inflammation and related factors, such as dysbiosis and insulin resistance, stand out. Besides underlying the association between psychiatric disorders and cardiometabolic diseases, these mechanisms provide several potential therapeutic targets.
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37
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Comorbidity of Novel CRHR2 Gene Variants in Type 2 Diabetes and Depression. Int J Mol Sci 2022; 23:ijms23179819. [PMID: 36077219 PMCID: PMC9456299 DOI: 10.3390/ijms23179819] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/19/2022] [Accepted: 08/24/2022] [Indexed: 12/18/2022] Open
Abstract
The corticotropin-releasing hormone receptor 2 (CRHR2) gene encodes CRHR2, contributing to the hypothalamic–pituitary–adrenal stress response and to hyperglycemia and insulin resistance. CRHR2−/− mice are hypersensitive to stress, and the CRHR2 locus has been linked to type 2 diabetes and depression. While CRHR2 variants confer risk for mood disorders, MDD, and type 2 diabetes, they have not been investigated in familial T2D and MDD. In 212 Italian families with type 2 diabetes and depression, we tested 17 CRHR2 single nucleotide polymorphisms (SNPs), using two-point parametric-linkage and linkage-disequilibrium (i.e., association) analysis (models: dominant-complete-penetrance-D1, dominant-incomplete-penetrance-D2, recessive-complete-penetrance-R1, recessive-incomplete-penetrance-R2). We detected novel linkage/linkage-disequilibrium/association to/with depression (3 SNPs/D1, 2 SNPs/D2, 3 SNPs/R1, 3 SNPs/R2) and type 2 diabetes (3 SNPs/D1, 2 SNPs/D2, 2 SNPs/R1, 1 SNP/R2). All detected risk variants are novel. Two depression-risk variants within one linkage-disequilibrium block replicate each other. Two independent novel SNPs were comorbid while the most significant conferred either depression- or type 2 diabetes-risk. Although the families were primarily ascertained for type 2 diabetes, depression-risk variants showed higher significance than type 2 diabetes-risk variants, implying CRHR2 has a stronger role in depression-risk than type 2 diabetes-risk. In silico analysis predicted variants’ dysfunction. CRHR2 is for the first time linked to/in linkage-disequilibrium/association with depression-type 2 diabetes comorbidity and may underlie the shared genetic pathogenesis via pleiotropy.
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Bargues-Navarro G, Ibáñez-del Valle V, El Mlili N, Cauli O. Salivary Biomarkers Associated with Psychological Alterations in Patients with Diabetes: A Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58081091. [PMID: 36013558 PMCID: PMC9416232 DOI: 10.3390/medicina58081091] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/26/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022]
Abstract
The care of individuals with diabetes needs a holistic perspective, taking into account both the physical disease and the mental health problems that may be associated. Different studies show a higher prevalence of depression or anxiety issues in diabetes patients than in the general population, which is why diabetes can be considered one of the chronic diseases in which psychological care is crucial to maintain quality of life. The objective of this review is to examine the published articles that relate the bidirectional associations between objective and subjective measures of anxiety, depressive symptomatology, stress, sleep quality, and salivary biomarkers in patients with diabetes. For this, a search was carried out in the electronic databases PubMed, Cochrane, and SCOPUS using the keywords "diabetes", "saliva", "sleep", "anxiety", "depression", and "stress" for works published up until May 2022 and limited to the English and Spanish languages. The sample comprised 14 articles, 5 of which analysed the associations between depressive symptomatology and salivary biomarkers in people with diabetes. Among the salivary biomarkers most frequently used to evaluate psychological alterations in persons with diabetes are cortisol and melatonin. Thus, significant changes in the levels of these biomarkers were observed in most studies. Four out of five studies reported a statistically significant relationship between increased salivary cortisol in the evening/midnight or the cortisol awakening response and depressive symptoms. In contrast, lower cortisol levels upon waking in the morning were observed when there was no depression or anxiety. Regarding the association between salivary cortisol values and sleep quality in patients with diabetes, lower morning cortisol values related to prolonged nighttime sleep were common in the analysed studies. Low melatonin concentrations showed a negative correlation with sleep quality. As it is an easy-to-apply and non-invasive method, the measurement of salivary biomarkers can be very useful for predicting psychological alterations in patients with diabetes. Further scientific studies are required to determine the sensitivity of these biological substances acting as biomarkers for detecting sleep disorders and psychological alterations.
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Affiliation(s)
- Guillermo Bargues-Navarro
- Department of Nursing, Faculty of Nursing and Podiatry, University of Valencia, Avda Menéndez Pidal 19, 46010 Valencia, Spain
| | - Vanessa Ibáñez-del Valle
- Department of Nursing, Faculty of Nursing and Podiatry, University of Valencia, Avda Menéndez Pidal 19, 46010 Valencia, Spain
- Frailty and Cognitive Impairment Organized Group (FROG), University of Valencia, 46010 Valencia, Spain
- Chair of Active Ageing, University of Valencia, 4610 Valencia, Spain
| | - Nisrin El Mlili
- Higher Institute of Nursing Professions and Health Techniques (ISPITS), Tetouan 93000, Morocco
- Department of Biology and Health, Faculty of Sciences, University Abdelmalek Essâadi, Tetouan 93000, Morocco
| | - Omar Cauli
- Department of Nursing, Faculty of Nursing and Podiatry, University of Valencia, Avda Menéndez Pidal 19, 46010 Valencia, Spain
- Frailty and Cognitive Impairment Organized Group (FROG), University of Valencia, 46010 Valencia, Spain
- Chair of Active Ageing, University of Valencia, 4610 Valencia, Spain
- Correspondence:
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Athauda D, Evans J, Wernick A, Virdi G, Choi ML, Lawton M, Vijiaratnam N, Girges C, Ben‐Shlomo Y, Ismail K, Morris H, Grosset D, Foltynie T, Gandhi S. The Impact of Type 2 Diabetes in Parkinson's Disease. Mov Disord 2022; 37:1612-1623. [PMID: 35699244 PMCID: PMC9543753 DOI: 10.1002/mds.29122] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 05/16/2022] [Accepted: 05/19/2022] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Type 2 diabetes (T2DM) is an established risk factor for developing Parkinson's disease (PD), but its effect on disease progression is not well understood. OBJECTIVE The aim of this study was to investigate the influence of T2DM on aspects of disease progression in PD. METHODS We analyzed data from the Tracking Parkinson's study to examine the effects of comorbid T2DM on PD progression and quality of life by comparing symptom severity scores assessing a range of motor and nonmotor symptoms. RESULTS We identified 167 (8.7%) patients with PD and T2DM (PD + T2DM) and 1763 (91.3%) patients with PD without T2DM (PD). After controlling for confounders, patients with T2DM had more severe motor symptoms, as assessed by Movement Disorder Society Unified Parkinson's Disease Rating Scale, Part III (25.8 [0.9] vs. 22.5 [0.3] P = 0.002), and nonmotor symptoms, as assessed by Non-Motor Symptoms Scale total (38.4 [2.5] vs. 31.8 [0.7] P < 0.001), and were significantly more likely to report loss of independence (odds ratio, 2.08; 95% confidence interval [CI]: 1.34-3.25; P = 0.001) and depression (odds ratio, 1.62; CI: 1.10-2.39; P = 0.015). Furthermore, over time, patients with T2DM had significantly faster motor symptom progression (P = 0.012), developed worse mood symptoms (P = 0.041), and were more likely to develop substantial gait impairment (hazard ratio, 1.55; CI: 1.07-2.23; P = 0.020) and mild cognitive impairment (hazard ratio, 1.7; CI: 1.24-2.51; P = 0.002) compared with the PD group. CONCLUSIONS In the largest study to date, T2DM is associated with faster disease progression in Parkinson's, highlighting an interaction between these two diseases. Because it is a potentially modifiable metabolic state, with multiple peripheral and central targets for intervention, it may represent a target for alleviating parkinsonian symptoms and slowing progression to disability and dementia. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Dilan Athauda
- Neurodegeneration Biology LaboratoryFrancis Crick InstituteLondonUnited Kingdom,UCL Queen Square Institute of NeurologyLondonUnited Kingdom,Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - James Evans
- Neurodegeneration Biology LaboratoryFrancis Crick InstituteLondonUnited Kingdom,UCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Anna Wernick
- Neurodegeneration Biology LaboratoryFrancis Crick InstituteLondonUnited Kingdom,UCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Gurvir Virdi
- Neurodegeneration Biology LaboratoryFrancis Crick InstituteLondonUnited Kingdom,UCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Minee L. Choi
- Neurodegeneration Biology LaboratoryFrancis Crick InstituteLondonUnited Kingdom,UCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Michael Lawton
- School of Social and Community MedicineUniversity of BristolBristolUnited Kingdom
| | - Nirosen Vijiaratnam
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Christine Girges
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Yoav Ben‐Shlomo
- School of Social and Community MedicineUniversity of BristolBristolUnited Kingdom
| | - Khalida Ismail
- Department of Psychological MedicineKing's College LondonUnited Kingdom
| | - Huw Morris
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Donald Grosset
- Institute of Neurological SciencesQueen Elizabeth University HospitalGlasgowUnited Kingdom
| | - Thomas Foltynie
- Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
| | - Sonia Gandhi
- Neurodegeneration Biology LaboratoryFrancis Crick InstituteLondonUnited Kingdom,UCL Queen Square Institute of NeurologyLondonUnited Kingdom,Department of Clinical and Movement NeurosciencesUCL Queen Square Institute of NeurologyLondonUnited Kingdom
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Díaz-Carías JP, Morilla Romero de la Osa R, Cano-Rodríguez M. Relationship between insulin-biochemical resistance levels and the degree of depression and anxiety in patients from Honduras. Int J Diabetes Dev Ctries 2022. [DOI: 10.1007/s13410-022-01113-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Abstract
Background/purpose
Many studies suggest that insulin resistance in obese patients bridges mental illness. Our objective was to identify the association between levels of depression and anxiety with insulin resistance, and its relationship with obesity and abdominal obesity
Methods
A cross-sectional analytical study was carried out in Honduras. Sociodemographic variables, anthropometric parameters, HOMA index, and level of severity of anxiety and depression were collected, and a descriptive, bivariate, and multivariate were performed.
Results
In a sample of 381 adult patients, the bivariate analysis showed a statistic association of insulin resistance with all remaining variables. However, multivariate analysis showed a significative association of anxiety with BMI, depression, waist circumference, and insulinemia, while depression was associated with HOMA, anxiety, insulinemia, glycemia, and waist circumference.
Conclusions
Our results provide important evidence of a direct and growing association between HOMA-IR and the severity of depression, and indirectly with anxiety. Secondarily, also with anthropometric factors (BMI and WC), traditionally associated with cardiovascular risk. This finding has important implications both for the early diagnosis of these mental pathologies, taking into account HOMA-IR values, and for preventive interventions focused on maintaining blood insulin levels.
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41
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Fanelli G, Serretti A. Depression, antidepressants, and insulin resistance: which link? Eur Neuropsychopharmacol 2022; 60:4-6. [PMID: 35550451 DOI: 10.1016/j.euroneuro.2022.04.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 04/15/2022] [Accepted: 04/19/2022] [Indexed: 12/27/2022]
Affiliation(s)
- Giuseppe Fanelli
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy; Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
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Fukunaga A, Inoue Y, Nakagawa T, Honda T, Yamamoto S, Okazaki H, Yamamoto M, Miyamoto T, Gonmori N, Kochi T, Eguchi M, Shirasaka T, Yamamoto K, Hori A, Tomita K, Konishi M, Katayama N, Kabe I, Dohi S, Mizoue T. Diabetes, prediabetes, and long-term sickness absence due to mental disorders: Japan Epidemiology Collaboration on Occupational Health Study. J Psychosom Res 2022; 158:110925. [PMID: 35569177 DOI: 10.1016/j.jpsychores.2022.110925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 03/28/2022] [Accepted: 04/22/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVES To investigate the association of diabetes and prediabetes with long-term sickness absence (LTSA) due to mental disorders or specific mental disorders. METHODS A prospective cohort study was conducted using data from the Japan Epidemiology Collaboration on Occupational Health Study. A total of 62,065 workers who received health check-ups in 2011 (nine companies) or 2014 (two companies) and were followed up to March 31, 2020 were included in this study. Diabetes status was defined based on the American Diabetes Association criteria, and diabetes was differentiated into diabetes with/without anti-diabetic treatment for additional analysis. A Cox proportional hazards regression model was used to investigate these associations. RESULTS During maximum 8-year follow-up period, 1024 participants underwent LTSA due to mental disorders. The adjusted hazard ratio (aHR) and corresponding 95% confidence interval (CI) of LTSA due to all mental disorders were 1.10 (0.88-1.38) and 1.45 (1.07-1.98) for prediabetes and diabetes, respectively. Diabetic individuals with/without treatment were both at a high risk of LTSA due to mental disorders. For specific mental disorders, diabetes was associated with a higher risk of LTSA due to reaction to severe stress and adjustment disorders (aHR = 3.02, 95% CI = 2.01-4.52) while it was marginally associated with LTSA due to depressive episode (aHR = 1.25, 95% CI = 0.98-1.60). Prediabetes was also associated with LTSA due to reaction to severe stress and adjustment disorders (aHR = 1.41, 95% CI = 1.08-1.84). CONCLUSIONS The present study suggests the importance of screening diabetes status and providing psychological support for decreasing the risk of LTSA due to mental disorders within working populations.
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Affiliation(s)
- Ami Fukunaga
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
| | - Yosuke Inoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Tohru Nakagawa
- Hitachi Health Care Center, Hitachi, Ltd., Ibaraki, Japan
| | - Toru Honda
- Hitachi Health Care Center, Hitachi, Ltd., Ibaraki, Japan
| | | | | | | | | | - Naoki Gonmori
- East Japan Works (Keihin), JFE Steel Corporation, Kanagawa, Japan
| | | | | | | | - Kenya Yamamoto
- Division of Chemical Information, National Institute of Occupational Safety and Health, Kanagawa, Japan
| | - Ai Hori
- Department of Global Public Health, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | | | - Maki Konishi
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Nobumi Katayama
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | | | | | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
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Perez NB, Vorderstrasse AA, Yu G, Melkus GD, Wright F, Ginsberg SD, Crusto CA, Sun YV, Taylor JY. Associations Between DNA Methylation Age Acceleration, Depressive Symptoms, and Cardiometabolic Traits in African American Mothers From the InterGEN Study. Epigenet Insights 2022; 15:25168657221109781. [PMID: 35784386 PMCID: PMC9247996 DOI: 10.1177/25168657221109781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 06/06/2022] [Indexed: 11/20/2022] Open
Abstract
Background African American women (AAW) have a high risk of both cardiometabolic (CM) illness and depressive symptoms. Depressive symptoms co-occur in individuals with CM illness at higher rates than the general population, and accelerated aging may explain this. In this secondary analysis, we examined associations between age acceleration; depressive symptoms; and CM traits (hypertension, diabetes mellitus [DM], and obesity) in a cohort of AAW. Methods Genomic and clinical data from the InterGEN cohort (n = 227) were used. Age acceleration was based on the Horvath method of DNA methylation (DNAm) age estimation. Accordingly, DNAm age acceleration (DNAm AA) was defined as the residuals from a linear regression of DNAm age on chronological age. Spearman's correlations, linear and logistic regression examined associations between DNAm AA, depressive symptoms, and CM traits. Results DNAm AA did not associate with total depressive symptom scores. DNAm AA correlated with specific symptoms including self-disgust/self-hate (-0.13, 95% CI -0.26, -0.01); difficulty with making decisions (-0.15, 95% CI -0.28, -0.02); and worry over physical health (0.15, 95% CI 0.02, 0.28), but were not statistically significant after multiple comparison correction. DNAm AA associated with obesity (0.08, 95% CI 1.02, 1.16), hypertension (0.08, 95% CI 1.01, 1.17), and DM (0.20, 95% CI 1.09, 1.40), after adjustment for potential confounders. Conclusions Associations between age acceleration and depressive symptoms may be highly nuanced and dependent on study design contexts. Factors other than age acceleration may explain the connection between depressive symptoms and CM traits. AAW with CM traits may be at increased risk of accelerated aging.
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Affiliation(s)
| | | | - Gary Yu
- Rory Meyers College of Nursing, New
York University, New York, NY, USA
| | | | - Fay Wright
- Rory Meyers College of Nursing, New
York University, New York, NY, USA
| | - Stephen D Ginsberg
- Center for Dementia Research, Nathan
Kline Institute, Orangeburg, NY, USA
- NYU Grossman School of Medicine, New
York, NY, USA
| | - Cindy A Crusto
- Yale School of Medicine, Orange, CT,
USA
- Department of Psychology, University of
Pretoria, Pretoria, South Africa
| | - Yan V Sun
- Emory University School of Public
Health, Atlanta, GA, USA
- Atlanta VA Health Care System, Decatur,
GA, USA
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44
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Martins LB, Braga Tibães JR, Berk M, Teixeira AL. Diabetes and mood disorders: shared mechanisms and therapeutic opportunities. Int J Psychiatry Clin Pract 2022; 26:183-195. [PMID: 34348557 DOI: 10.1080/13651501.2021.1957117] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The objective of this manuscript is to provide a comprehensive and critical overview of the current evidence on the association between Diabetes mellitus (DM) and mood disorders [i.e., Major depressive disorder (MDD) and bipolar disorder (BD)], and therapeutic opportunities. METHODS We searched in MEDLINE (via Ovid) for placebo-controlled clinical trials published in the last 20 years that assessed drug repurposing approaches for the treatment of DM or mood disorders. RESULTS We found seven studies that aimed to verify the effects of antidepressants in patients diagnosed with DM, and eight studies that tested the effect of antidiabetic drugs in patients diagnosed with MDD or BD. Most studies published in the last two decades did not report a positive effect of antidepressants on glycemic control in patients with DM. On the other hand, antidiabetic drugs seem to have a positive effect on the treatment of MDD and BD. CONCLUSIONS While effect of antidepressants on glycemic control in patients with DM is still controversial, the use of antidiabetic drugs may be a promising strategy for patients with MDD or BD. Prospective studies are still needed.Key pointsMood disorders in patients with DM affect glycemic control, potentially increasing mortality risk.The effect of antidepressants on glycemic control in patients with DM is still controversial. The coexistence of complicated DM and a mood disorders would require a careful, individualised, and comprehensive evaluation.Insulin resistance may increase the risk of depressive symptoms and is associated with worse outcomes in BD.The use antidiabetic drugs may be a promising strategy for patients with MDD or BD. However, prospective trials are needed to prove a potential antidepressant activity of antidiabetic drugs.
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Affiliation(s)
- Laís Bhering Martins
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.,Departamento de Nutrição, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Jenneffer Rayane Braga Tibães
- Departamento de Nutrição, Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.,Department of Agricultural, Food and Nutritional Science, Division of Human Nutrition, University of Alberta, Edmonton, Canada
| | - Michael Berk
- Deakin University, IMPACT (the Institute for Mental and Physical Health and Clinical Translation), Geelong, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health, Parkville, Australia.,Department of Psychiatry, The University of Melbourne, Melbourne, Australia
| | - Antonio Lucio Teixeira
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center, Houston, TX, USA.,Instituto de Ensino e Pesquisa, Belo Horizonte, Brazil
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Shaffer C, Westlin C, Quigley KS, Whitfield-Gabrieli S, Barrett LF. Allostasis, Action, and Affect in Depression: Insights from the Theory of Constructed Emotion. Annu Rev Clin Psychol 2022; 18:553-580. [PMID: 35534123 PMCID: PMC9247744 DOI: 10.1146/annurev-clinpsy-081219-115627] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The theory of constructed emotion is a systems neuroscience approach to understanding the nature of emotion. It is also a general theoretical framework to guide hypothesis generation for how actions and experiences are constructed as the brain continually anticipates metabolic needs and attempts to meet those needs before they arise (termed allostasis). In this review, we introduce this framework and hypothesize that allostatic dysregulation is a trans-disorder vulnerability for mental and physical illness. We then review published findings consistent with the hypothesis that several symptoms in major depressive disorder (MDD), such as fatigue, distress, context insensitivity, reward insensitivity, and motor retardation, are associated with persistent problems in energy regulation. Our approach transforms the current understanding of MDD as resulting from enhanced emotional reactivity combined with reduced cognitive control and, in doing so, offers novel hypotheses regarding the development, progression, treatment, and prevention of MDD.
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Affiliation(s)
- Clare Shaffer
- Department of Psychology, Northeastern University, Boston, Massachusetts, USA; ,
| | - Christiana Westlin
- Department of Psychology, Northeastern University, Boston, Massachusetts, USA; ,
| | - Karen S Quigley
- Department of Psychology, Northeastern University, Boston, Massachusetts, USA; ,
- VA Bedford Healthcare System, Bedford, Massachusetts, USA
| | - Susan Whitfield-Gabrieli
- Department of Psychology, Northeastern University, Boston, Massachusetts, USA; ,
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Lisa Feldman Barrett
- Department of Psychology, Northeastern University, Boston, Massachusetts, USA; ,
- Department of Psychiatry and the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA
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Farhadi A, Totonchi M, Nabavi SM, Baharvand H, Pakdaman H, Hajizadeh-Saffar E, Mousavi SA, Hadi F, Al-Sinawi H, Li Q, Zhang JS, Tahamtani Y, Shahpasand K. P38 Initiates Degeneration of midbrain GABAergic and Glutamatergic Neurons in Diabetes Models. Eur J Neurosci 2022; 56:3755-3778. [PMID: 35513862 DOI: 10.1111/ejn.15686] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 04/04/2022] [Accepted: 04/25/2022] [Indexed: 11/30/2022]
Abstract
Diabetes mellitus may cause tau protein hyperphosphorylation and neurodegeneration, but the exact mechanism by which diabetic conditions induce tau pathology remains unclear. Tau protein hyperphosphorylation is considered a major pathological hallmark of neurodegeneration and can be triggered by diabetes. Various tau-directed kinases, including P38, can be activated upon diabetic stress and induce tau hyperphosphorylation. Despite extensive research efforts the exact tau specie(s) and kinases driving neurodegeneration in diabetes mellitus have not been clearly elucidated. We herein employed different techniques to determine the exact molecular mechanism of tau pathology triggered by diabetes in in vivo and in vitro models. We showed that diabetes-related stresses and glucose metabolism deficiency could induce cis P-tau (an early driver of the tau pathology) accumulation in the midbrain and corpus callosum of the diabetic mice models and cells treated with 2-deoxy-D-glucose, respectively. We found that the active phosphorylated level of P38 was increased in the treated cells and diabetic mice models. We observed that oxidative stress activated P38, which directly and indirectly drove tau pathology in the GABAergic and Glutamatergic neurons of the midbrain of the diabetic mice after 96 hours, which accumulated in the other neighboring brain areas after two months. Notably, P38 inhibition suppressed tau pathogenicity and risk-taking behaviors in the animal models after 96 hours. The data establish P38 as a central mediator of diabetes mellitus induced tau pathology. Our findings provide mechanistic insight into the consequences of this metabolic disorder on the nervous system.
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Affiliation(s)
- Aisan Farhadi
- Department of Developmental Biology, Faculty of Basic Sciences and Advanced Technologies in Biology, University of Science and Culture, ACECR, Tehran, Iran.,Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.,Department of Brain and Cognitive Sciences, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Mehdi Totonchi
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.,Department of Genetics, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Seyed Masood Nabavi
- Department of Brain and Cognitive Sciences, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Hossein Baharvand
- Department of Developmental Biology, Faculty of Basic Sciences and Advanced Technologies in Biology, University of Science and Culture, ACECR, Tehran, Iran.,Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.,Department of Brain and Cognitive Sciences, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Hossein Pakdaman
- Brain Mapping Research Center, Department of Neurology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ensiyeh Hajizadeh-Saffar
- Department of Regenerative medicine, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Seyed Ahmad Mousavi
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Fatemeh Hadi
- Department of Brain and Cognitive Sciences, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Hamed Al-Sinawi
- Department of Behavioral Medicine, Sultan Qaboos University Hospital, Muscat, Oman
| | - Quan Li
- Institute of Life Sciences, Wenzhou University, Wenzhou, Zhejiang, China
| | - Jin-San Zhang
- Institute of Life Sciences, Wenzhou University, Wenzhou, Zhejiang, China.,Division of Oncology Research, Mayo Clinic, Rochester, MN, USA
| | - Yaser Tahamtani
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.,Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
| | - Koorosh Shahpasand
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.,Department of Brain and Cognitive Sciences, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
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Alvarenga AB, Oliveira HR, Miller SP, Silva FF, Brito LF. Genetic Modeling and Genomic Analyses of Yearling Temperament in American Angus Cattle and Its Relationship With Productive Efficiency and Resilience Traits. Front Genet 2022; 13:794625. [PMID: 35444687 PMCID: PMC9014094 DOI: 10.3389/fgene.2022.794625] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 02/25/2022] [Indexed: 11/13/2022] Open
Abstract
Cattle temperament has been considered by farmers as a key breeding goal due to its relevance for cattlemen's safety, animal welfare, resilience, and longevity and its association with many economically important traits (e.g., production and meat quality). The definition of proper statistical models, accurate variance component estimates, and knowledge on the genetic background of the indicator trait evaluated are of great importance for accurately predicting the genetic merit of breeding animals. Therefore, 266,029 American Angus cattle with yearling temperament records (1-6 score) were used to evaluate statistical models and estimate variance components; investigate the association of sex and farm management with temperament; assess the weighted correlation of estimated breeding values for temperament and productive, reproductive efficiency and resilience traits; and perform a weighted single-step genome-wide association analysis using 69,559 animals genotyped for 54,609 single-nucleotide polymorphisms. Sex and extrinsic factors were significantly associated with temperament, including conception type, age of dam, birth season, and additional animal-human interactions. Similar results were observed among models including only the direct additive genetic effect and when adding other maternal effects. Estimated heritability of temperament was equal to 0.39 on the liability scale. Favorable genetic correlations were observed between temperament and other relevant traits, including growth, feed efficiency, meat quality, and reproductive traits. The highest approximated genetic correlations were observed between temperament and growth traits (weaning weight, 0.28; yearling weight, 0.28). Altogether, we identified 11 genomic regions, located across nine chromosomes including BTAX, explaining 3.33% of the total additive genetic variance. The candidate genes identified were enriched in pathways related to vision, which could be associated with reception of stimulus and/or cognitive abilities. This study encompasses large and diverse phenotypic, genomic, and pedigree datasets of US Angus cattle. Yearling temperament is a highly heritable and polygenic trait that can be improved through genetic selection. Direct selection for temperament is not expected to result in unfavorable responses on other relevant traits due to the favorable or low genetic correlations observed. In summary, this study contributes to a better understanding of the impact of maternal effects, extrinsic factors, and various genomic regions associated with yearling temperament in North American Angus cattle.
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Affiliation(s)
- Amanda B Alvarenga
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
| | - Hinayah R Oliveira
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States.,Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | - Stephen P Miller
- American Angus Association, Angus Genetics Inc., St Joseph, MO, United States
| | - Fabyano F Silva
- Department of Animal Sciences, Federal University of Vicosa, Viçosa, Brazil
| | - Luiz F Brito
- Department of Animal Sciences, Purdue University, West Lafayette, IN, United States
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Dai W, Liu J, Qiu Y, Teng Z, Li S, Huang J, Xiang H, Tang H, Wang B, Chen J, Wu H. Shared postulations between bipolar disorder and polycystic ovary syndrome pathologies. Prog Neuropsychopharmacol Biol Psychiatry 2022; 115:110498. [PMID: 34929323 DOI: 10.1016/j.pnpbp.2021.110498] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 12/06/2021] [Accepted: 12/12/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Women with bipolar disorder (BD) present a high prevalence of polycystic ovary syndrome (PCOS) and other reproductive disorders even before diagnosis or treatment of the disease. Postulations on the potential molecular mechanisms of comorbid PCOS in women with BD remain limited to influence of medications and need further extension. OBJECTIVES This review focuses on evidence suggesting that common metabolic and immune disorders may play an important role in the development of BD and PCOS. RESULTS The literature covered in this review suggests that metabolic and immune disorders, including the dysfunction of the hypothalamic-pituitary-adrenal axis, chronic inflammatory state, gut microbial alterations, adipokine alterations and circadian rhythm disturbance, are observed in patients with BD and PCOS. Such disorders may be responsible for the increased prevalence of PCOS in the BD population and indicate a susceptibility gene overlap between the two diseases. Current evidence supports postulations of common metabolic and immune disorders as endophenotype in BD as well as in PCOS. CONCLUSIONS Metabolic and immune disorders may be responsible for the comorbid PCOS in the BD population. The identification of hallmark metabolic and immune features common to these two diseases will contribute to the clarification of the effect of BD on the reproductive endocrine function and development of symptomatic treatments targeting the biomarkers of the two diseases.
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Affiliation(s)
- Wenyu Dai
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jieyu Liu
- Department of Ultrasound Diagnostic, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yan Qiu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ziwei Teng
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Sujuan Li
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jing Huang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Xiang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Tang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Bolun Wang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jindong Chen
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Haishan Wu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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De Felice FG, Gonçalves RA, Ferreira ST. Impaired insulin signalling and allostatic load in Alzheimer disease. Nat Rev Neurosci 2022; 23:215-230. [DOI: 10.1038/s41583-022-00558-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2022] [Indexed: 12/14/2022]
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Berberine, a Herbal Metabolite in the Metabolic Syndrome: The Risk Factors, Course, and Consequences of the Disease. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27041351. [PMID: 35209140 PMCID: PMC8874997 DOI: 10.3390/molecules27041351] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 12/13/2022]
Abstract
In recent years, the health of patients exposed to the consequences of the metabolic syndrome still requires the search for new solutions, and plant nutraceuticals are currently being intensively investigated. Berberine is a plant alkaloid possessing scientifically determined mechanisms of the prevention of the development of atherosclerosis, type 2 diabetes, and obesity, as well as cardiovascular complications and cancer. It positively contributes to elevated levels of fasting, postprandial blood glucose, and glycosylated hemoglobin, while decreasing insulin resistance. It stimulates glycolysis, improving insulin secretion, and inhibits gluconeogenesis and adipogenesis in the liver; by reducing insulin resistance, berberine also improves ovulation. The anti-obesity action of berberine has been also well-documented. Berberine acts as an anti-sclerotic, lowering the LDL and testosterone levels. The alkaloid exhibits an anti-inflammatory property by stalling the expression of cyclooxygenase 2 (COX-2) and prostaglandin E2. Berberine is neuroprotective and acts as an antidepressive. However, the outcomes in psychiatric patients are nonspecific, as it has been shown that berberine improves metabolic parameters in schizophrenic patients, acting as an adjuvant during antipsychotic treatment. Berberine acts as an anticancer option by inducing apoptosis, the cell cycle arrest, influencing MAPK (mitogen-activated protein kinase), and influencing transcription regulation. The inhibition of carcinogenesis is also combined with lipid metabolism.
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