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Luperdi SC, Correa-Ghisays P, Vila-Francés J, Selva-Vera G, Livianos L, Tabarés-Seisdedos R, Balanzá-Martínez V. Verbal fluency in schizophrenia and bipolar disorder - A longitudinal, family study. J Psychiatr Res 2024; 178:33-40. [PMID: 39121705 DOI: 10.1016/j.jpsychires.2024.07.056] [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: 02/17/2024] [Revised: 07/27/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024]
Abstract
Verbal fluency (VF) has been proposed as a putative neurocognitive endophenotype in schizophrenia (SZ) and bipolar disorder (BD). However, this hypothesis has not been examined using a longitudinal family approach. We conducted a five-group, comparative study. The sample comprised 323 adult participants, including 81 BD patients, 47 unaffected relatives of BD BD-Rel), 76 SZ patients, 40 unaffected relatives of SZ (SZ-Rel), and 79 genetically unrelated healthy controls (HC). All subjects were assessed twice with semantic VF (sem-VF) and phonological VF (ph-VF) tests over a 2-year follow-up period. ANCOVAs controlling for age and years of education were used to compare performance across groups. Patients with SZ and BD and their unaffected relatives showed sem-VF and ph-VF deficits at baseline, which persisted over time (all, p < 0.05). Moreover, BD-Rel showed an intermediate performance between SZ and HC. A repeated-measures ANOVA revealed no significant differences in the between-group trajectories comparison (p > 0.05). Our findings support that VF may represent a neurocognitive endophenotype for SZ and BD. Further longitudinal, family studies are warranted to confirm this preliminary evidence.
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Affiliation(s)
- Sussy C Luperdi
- Program in Medicine, University of Valencia, Avda Blasco Ibanez, 15, 46010, Valencia, Spain; Department of Psychiatry, Virgen de Los Lirios Hospital, Polígono de Caramanchel, s/n, 03804, Alcoi, Alicante, Spain
| | - Patricia Correa-Ghisays
- Faculty of Psychology, University of Valencia, Avda Blasco Ibañez, 21, 46010, Valencia, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain; INCLIVA Health Research Institute, C. de Menéndez y Pelayo, 4, 46010, Valencia, Spain
| | - Joan Vila-Francés
- IDAL - Intelligent Data Analysis Laboratory, University of Valencia, Avda de La Universitat s/n, 46100, Burjassot, Valencia, Spain
| | - Gabriel Selva-Vera
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain; INCLIVA Health Research Institute, C. de Menéndez y Pelayo, 4, 46010, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Avda Blasco Ibáñez, 15, 46010, Valencia, Spain; Department of Psychiatry, University Clinical Hospital of Valencia, Avda Blasco Ibanez, 15, 46010, Valencia, Spain
| | - Lorenzo Livianos
- Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Avda Blasco Ibáñez, 15, 46010, Valencia, Spain; Department of Psychiatry, La Fe University and Polytechnic Hospital, Avda de Fernando Abril Martorell, 106, 46026, Valencia, Spain; Biomedical Research Networking Centre for Public Health (CIBERESP-Grupo 17), Instituto de Salud Carlos III, Avda. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain
| | - Rafael Tabarés-Seisdedos
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain; INCLIVA Health Research Institute, C. de Menéndez y Pelayo, 4, 46010, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Avda Blasco Ibáñez, 15, 46010, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0, 28029, Madrid, Spain; INCLIVA Health Research Institute, C. de Menéndez y Pelayo, 4, 46010, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Avda Blasco Ibáñez, 15, 46010, Valencia, Spain; VALSME (VALencia Salut Mental i Estigma) Research Group, University of Valencia, Valencia, Spain.
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Flaaten CB, Melle I, Bjella T, Engen MJ, Åsbø G, Wold KF, Widing L, Gardsjord E, Øie MG, Lyngstad SH, Haatveit B, Simonsen C, Ueland T. Long-term course of cognitive functioning in bipolar disorder: A ten-year follow-up study. Bipolar Disord 2024; 26:136-147. [PMID: 37356974 DOI: 10.1111/bdi.13364] [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] [Indexed: 06/27/2023]
Abstract
INTRODUCTION Cognitive impairments are common in bipolar disorder (BD), but the long-term course remains understudied. Longitudinal data on cognitive functioning from the start of the first treatment could help clarify pathophysiological processes that shape the illness outcome. We here aim to investigate the 10-year cognitive course in BD compared to healthy controls (HC) and the effects of clinical symptoms on cognitive trajectories. METHODS Fifty-six BD participants recruited within their first year of treatment and 108 HC completed clinical and cognitive assessments at baseline and 10-year follow-up. We derived eight cognitive domain scores and a cognitive composite score, which were further investigated using linear mixed model analyses. Correlation analyses were used to assess associations between the composite score and depressive, manic and psychotic symptoms. RESULTS BD participants performed poorer than HCs in all domains except mental speed and verbal fluency. Verbal learning and memory, verbal fluency and the composite score improved over time in both BD participants and HC, while short-term memory, mental speed, psychomotor speed and working memory were stable. We found no significant correlations between cognition and symptom level at either time point in BD participants. CONCLUSIONS We found evidence of long-term cognitive stability or improvement in BD participants from first treatment to 10-year follow-up. Though the BD group was impaired in all domains except mental speed and verbal fluency, the change in cognitive functioning was parallel to that of HCs. These findings are not consistent with the notion of neuroprogression in BD.
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Affiliation(s)
- Camilla Bärthel Flaaten
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Thomas Bjella
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Magnus Johan Engen
- Division of Mental Health and Addiction, Nydalen DPS, Oslo University Hospital, Oslo, Norway
| | - Gina Åsbø
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Kristin Fjelnseth Wold
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Line Widing
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Erlend Gardsjord
- Division of Mental Health and Addiction, Unit for Early Intervention in Psychosis, Oslo University Hospital, Oslo, Norway
| | | | - Siv Hege Lyngstad
- Division of Mental Health and Addiction, Nydalen DPS, Oslo University Hospital, Oslo, Norway
| | - Beathe Haatveit
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Carmen Simonsen
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Early Intervention in Psychosis Advisory Unit for South East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Torill Ueland
- Division of Mental Health and Addiction, NORMENT, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
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Sánchez-Ortí JV, Correa-Ghisays P, Balanzá-Martínez V, Selva-Vera G, Vila-Francés J, Magdalena-Benedito R, San-Martin C, Victor VM, Escribano-Lopez I, Hernandez-Mijares A, Vivas-Lalinde J, Crespo-Facorro B, Tabarés-Seisdedos R. Inflammation and lipid metabolism as potential biomarkers of memory impairment across type 2 diabetes mellitus and severe mental disorders. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110817. [PMID: 37327846 DOI: 10.1016/j.pnpbp.2023.110817] [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: 03/10/2023] [Revised: 05/20/2023] [Accepted: 06/12/2023] [Indexed: 06/18/2023]
Abstract
INTRODUCTION Neurocognitive impairment is a transdiagnostic feature across several psychiatric and cardiometabolic conditions. The relationship between inflammatory and lipid metabolism biomarkers and memory performance is not fully understood. This study aimed to identify peripheral biomarkers suitable to signal memory decline from a transdiagnostic and longitudinal perspective. METHODS Peripheral blood biomarkers of inflammation, oxidative stress and lipid metabolism were assessed twice over a 1-year period in 165 individuals, including 30 with schizophrenia (SZ), 42 with bipolar disorder (BD), 35 with major depressive disorder (MDD), 30 with type 2 diabetes mellitus (T2DM), and 28 healthy controls (HCs). Participants were stratified by memory performance quartiles, taking as a reference their global memory score (GMS) at baseline, into categories of high memory (H; n = 40), medium to high memory (MH; n = 43), medium to low memory (ML; n = 38) and low memory (L; n = 44). Exploratory and confirmatory factorial analysis, mixed one-way analysis of covariance and discriminatory analyses were performed. RESULTS L group was significantly associated with higher levels of tumor necrosis factor-alpha (TNF-α) and lower levels of apolipoprotein A1 (Apo-A1) compared to those from the MH and H groups (p < 0.05; η2p = 0.06-0.09), with small to moderate effect sizes. Moreover, the combination of interleukin-6 (IL-6), TNF-α, c-reactive protein (CRP), Apo-A1 and Apo-B compounded the transdiagnostic model that best discriminated between groups with different degrees of memory impairment (χ2 = 11.9-49.3, p < 0.05-0.0001). CONCLUSIONS Inflammation and lipid metabolism seem to be associated with memory across T2DM and severe mental illnesses (SMI). A panel of biomarkers may be a useful approach to identify individuals at greater risk of neurocognitive impairment. These findings may have a potential translational utility for early intervention and advance precision medicine in these disorders.
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Affiliation(s)
- Joan Vicent Sánchez-Ortí
- INCLIVA - Health Research Institute, Valencia, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Patricia Correa-Ghisays
- INCLIVA - Health Research Institute, Valencia, Spain; Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Faculty of Psychology, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain.
| | - Vicent Balanzá-Martínez
- INCLIVA - Health Research Institute, Valencia, Spain; Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain; Mental Health Unit of Catarroja, Valencia, Spain.
| | - Gabriel Selva-Vera
- INCLIVA - Health Research Institute, Valencia, Spain; Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vila-Francés
- IDAL - Intelligent Data Analysis Laboratory, University of Valencia, Valencia, Spain
| | | | - Constanza San-Martin
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Víctor M Victor
- Service of Endocrinology and Nutrition, University Hospital Dr. Peset, Spain; Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain; Department of Physiology, University of Valencia, Valencia, Spain
| | | | | | | | - Benedicto Crespo-Facorro
- Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; Department of Psychiatry, Faculty of Medicine, University of Sevilla, HU Virgen del Rocío IBIS, Spain
| | - Rafael Tabarés-Seisdedos
- INCLIVA - Health Research Institute, Valencia, Spain; Center for Biomedical Research in Mental Health Network (CIBERSAM), Health Institute, Carlos III, Madrid, Spain; TMAP - Evaluation Unit in Personal Autonomy, Dependency and Serious Mental Disorders, University of Valencia, Valencia, Spain; Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
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Feng Y, Song J, Lin G, Qian H, Feng L, Wang Z, Wen J, Wang C, Wang J, Li P, Gao Z, Wang X, Hu X. Can neurological soft signs and neurocognitive deficits serve as a combined endophenotype for Han Chinese with bipolar disorder? Int J Methods Psychiatr Res 2023; 32:e1970. [PMID: 37038344 DOI: 10.1002/mpr.1970] [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: 01/17/2023] [Revised: 03/22/2023] [Accepted: 03/27/2023] [Indexed: 04/12/2023] Open
Abstract
BACKGROUND Bipolar disorder's (BD) potential endophenotypes include neurological soft signs (NSS) and neurocognitive disorders (ND). Few research, meanwhile, has coupled NSS and ND as combined endophenotypes of BD. OBJECT This study intends to investigate NSS and ND and compare their differences in euthymic patients with bipolar disorder (EBP), their unaffected first-degree relatives (FDR), and healthy controls (HC). Additionally, search for potential endophenotypic subprojects of NSS and ND and construct and verify a composite endophenotypic. METHODS The subjects were all Han Chinese and consisted of 86 EBP, 81 FDR, and 81HC. Cambridge Neurological Inventory and MATRICSTM Consensus Cognitive Battery tested NSS and ND independently. RESULTS All three groups displayed a trapezoidal distribution of NSS levels and cognitive abnormalities, with EBP having the most severe NSS levels and cognitive deficits, followed by FDR and HC. Among them, motor coordination in NSS and Information processing speed (IPS), Verbal learning (VL), and Working memory (WM) in neurocognitive function are consistent with the traits of the endophenotype of BD. The accuracy in differentiating EBP and HC or FDRs and HC was higher when these items were combined as predictor factors than in differentiating EBP and FDR. CONCLUSION These results provide more evidence that motor coordination, IPS, VL, and WM may be internal characteristics of bipolar disease. When these characteristics are combined into a complex endophenotype, it may be possible to distinguish BD patients and high-risk groups from normal populations.
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Affiliation(s)
- Yingying Feng
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Jia Song
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Guorong Lin
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Hong Qian
- Division of Child Healthcare, Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Feng
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Zongqin Wang
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Juan Wen
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Chengchen Wang
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Jiayuan Wang
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Peifu Li
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Zuohui Gao
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Xiaoli Wang
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
| | - Xiaohua Hu
- Wuhan Mental Health Center, Wuhan, Hubei Province, China
- Wuhan Hospital for Psychotherapy, Wuhan, Hubei Province, China
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Meyer K, Hindi Attar C, Fiebig J, Stamm T, Bassett TR, Bauer M, Dannlowski U, Ethofer T, Falkenberg I, Jansen A, Juckel G, Kircher T, Mulert C, Leicht G, Rau A, Ritter D, Ritter P, Trost S, Vogelbacher C, Walter H, Wolter S, Hautzinger M, Bermpohl F. Boosting the Theory of Mind Network: Specific Psychotherapy Increases Neural Correlates of Affective Theory of Mind in Euthymic Bipolar Disorder. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:572-580. [PMID: 36087699 DOI: 10.1016/j.bpsc.2022.08.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 08/16/2022] [Accepted: 08/16/2022] [Indexed: 05/09/2023]
Abstract
BACKGROUND In bipolar disorder, impaired affective theory of mind (aToM) performance and aberrant neural activation in the ToM brain network partly explain social functioning impairments. However, it is not yet known whether psychotherapy of bipolar disorder influences neuroimaging markers of aToM. METHODS In this study, conducted within the multicentric randomized controlled trial of the BipoLife consortium, patients with euthymic bipolar disorder underwent 2 group interventions over 6 months (mean = 28.45 weeks): 1) a specific, cognitive behavioral intervention (specific psychotherapeutic intervention [SEKT]) (n = 31) targeting impulse regulation, ToM, and social skills and 2) an emotion-focused intervention (FEST) (n = 28). To compare the effect of SEKT and FEST on neural correlates of aToM, patients performed an aToM task during functional magnetic resonance imaging before and after interventions (final functional magnetic resonance imaging sample of pre- and postcompleters, SEKT: n = 16; FEST: n = 17). Healthy control subjects (n = 32) were scanned twice with the same time interval. Because ToM was trained in SEKT, we expected an increased ToM network activation in SEKT relative to FEST postintervention. RESULTS Both treatments effectively stabilized patients' euthymic state in terms of affective symptoms, life satisfaction, and global functioning. Confirming our expectations, SEKT patients showed increased neural activation within regions of the ToM network, bilateral temporoparietal junction, posterior cingulate cortex, and precuneus, whereas FEST patients did not. CONCLUSIONS The stabilizing effect of SEKT on clinical outcomes went along with increased neural activation of the ToM network, while FEST possibly exerted its positive effect by other, yet unexplored routes.
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Affiliation(s)
- Kristina Meyer
- Department of Psychiatry and Neurosciences, CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
| | - Catherine Hindi Attar
- Department of Psychiatry and Neurosciences, CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jana Fiebig
- Department of Psychiatry and Neurosciences, CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Thomas Stamm
- Department of Psychiatry and Neurosciences, CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany; Department of Clinical Psychiatry and Psychotherapy, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany
| | - Tyler R Bassett
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Thomas Ethofer
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Irina Falkenberg
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry, University of Marburg, Marburg, Germany; Core-Facility Brain Imaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Georg Juckel
- Department of Psychiatry, Ruhr University Bochum, LWL, University Hospital, Bochum, Germany
| | - Tilo Kircher
- Department of Psychiatry, University of Marburg, Marburg, Germany
| | - Christoph Mulert
- Center for Psychiatry, Justus Liebig University, Giessen, Germany; Center for Psychiatry, Justus Liebig University, Giessen, Germany
| | - Gregor Leicht
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Rau
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Dirk Ritter
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Philipp Ritter
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Sarah Trost
- Department of Psychiatry and Psychotherapy, Georg-August-University Göttingen, Göttingen, Germany; Universitäre Altersmedizin FELIX PLATTER, Basel, Switzerland
| | | | - Henrik Walter
- Department of Psychiatry and Neurosciences, CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sarah Wolter
- Department of Psychiatry and Psychotherapy, Georg-August-University Göttingen, Göttingen, Germany; Department of Psychiatry and Psychotherapy, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Martin Hautzinger
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
| | - Felix Bermpohl
- Department of Psychiatry and Neurosciences, CCM, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
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Inflammation and cognition in severe mental illness: patterns of covariation and subgroups. Mol Psychiatry 2023; 28:1284-1292. [PMID: 36577840 PMCID: PMC10005942 DOI: 10.1038/s41380-022-01924-w] [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: 08/26/2022] [Revised: 12/06/2022] [Accepted: 12/13/2022] [Indexed: 12/29/2022]
Abstract
A potential relationship between dysregulation of immune/inflammatory pathways and cognitive impairment has been suggested in severe mental illnesses (SMI), such as schizophrenia (SZ) and bipolar (BD) spectrum disorders. However, multivariate relationships between peripheral inflammatory/immune-related markers and cognitive domains are unclear, and many studies do not account for inter-individual variance in both cognitive functioning and inflammatory/immune status. This study aimed to investigate covariance patterns between inflammatory/immune-related markers and cognitive domains and further elucidate heterogeneity in a large SMI and healthy control (HC) cohort (SZ = 343, BD = 289, HC = 770). We applied canonical correlation analysis (CCA) to identify modes of maximum covariation between a comprehensive selection of cognitive domains and inflammatory/immune markers. We found that poor verbal learning and psychomotor processing speed was associated with higher levels of interleukin-18 system cytokines and beta defensin 2, reflecting enhanced activation of innate immunity, a pattern augmented in SMI compared to HC. Applying hierarchical clustering on covariance patterns identified by the CCA revealed a high cognition-low immune dysregulation subgroup with predominantly HC (24% SZ, 45% BD, 74% HC) and a low cognition-high immune dysregulation subgroup predominantly consisting of SMI patients (76% SZ, 55% BD, 26% HC). These subgroups differed in IQ, years of education, age, CRP, BMI (all groups), level of functioning, symptoms and defined daily dose (DDD) of antipsychotics (SMI cohort). Our findings suggest a link between cognitive impairment and innate immune dysregulation in a subset of individuals with severe mental illness.
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Kjærstad HL, Søhol K, Vinberg M, Kessing LV, Miskowiak KW. The trajectory of emotional and non-emotional cognitive function in newly diagnosed patients with bipolar disorder and their unaffected relatives: A 16-month follow-up study. Eur Neuropsychopharmacol 2023; 67:4-21. [PMID: 36462414 DOI: 10.1016/j.euroneuro.2022.11.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/03/2022] [Accepted: 11/06/2022] [Indexed: 12/02/2022]
Abstract
Cognitive impairments are evident in remitted patients with bipolar disorder (BD) and their unaffected relatives (UR) compared to healthy controls (HC). However, the temporal course of cognition, and whether cognition is marked by neuroprogressive changes, remain unclear. In a large prospective study of newly diagnosed patients with BD, we assessed patients with BD (n = 266), UR (n = 105) and HC (n = 190) using an extensive cognitive battery of non-emotional and emotional cognition at baseline and 16-months follow-up. Cognitive change across groups was examined with linear mixed-model analyses. Results showed no evidence of trajectory differences between patients with BD, UR, and HC in neurocognition and emotional cognition (ps≥.10). Patients with BD showed stable impairments in global neurocognitive functioning over time, as well as within the domains of 'working memory and executive function' and 'attention and psychomotor speed', compared to HC. Patients who relapsed during the follow-up time were less successful at down-regulating emotions in positive social scenarios compared to HC. Unaffected relatives also displayed stable deficits in 'working memory and executive function' over time, with performance at intermediate levels between BD probands and HC. Finally, poorer neurocognition and positive emotion regulation were associated with more subsyndromal symptoms and functional impairments. In conclusion, we found no evidence of a neuroprogressive origin of cognitive impairments in the newly diagnosed BD or in their UR. Patients' and UR's impairments in working memory and executive function may reflect a stable cognitive trait-marker of familial risk. Difficulties with positive emotion regulation may be associated with illness progression in BD.
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Affiliation(s)
- Hanne Lie Kjærstad
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark.
| | - Kristine Søhol
- Department of Psychology, University of Copenhagen, Denmark
| | - Maj Vinberg
- Mental Health Centre, Northern Zealand, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Clinical Medicine, University of Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder research Centre (CADIC), Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Denmark; Department of Psychology, University of Copenhagen, Denmark
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Correa-Ghisays P, Vicent Sánchez-Ortí J, Balanzá-Martínez V, Fuentes-Durá I, Martinez-Aran A, Ruiz-Bolo L, Correa-Estrada P, Ruiz-Ruiz JC, Selva-Vera G, Vila-Francés J, Macias Saint-Gerons D, San-Martín C, Ayesa-Arriola R, Tabarés-Seisdedos R. MICEmi: A method to identify cognitive endophenotypes of mental illnesses. Eur Psychiatry 2022; 65:e85. [PMID: 36440538 PMCID: PMC9807453 DOI: 10.1192/j.eurpsy.2022.2348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. METHODS For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. CONCLUSIONS This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
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Affiliation(s)
- Patricia Correa-Ghisays
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vicent Sánchez-Ortí
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Balanzá-Martínez
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Inmaculada Fuentes-Durá
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Anabel Martinez-Aran
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,Bipolar Disorders Unit, Neurosciences Institute, Hospital Clínic de Barcelona, IDIBAPS, Universitat de Barcelona, Catalonia, Spain
| | - Lara Ruiz-Bolo
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | | | - Juan Carlos Ruiz-Ruiz
- Department of Personality, Evaluation and Psychological Treatment, Faculty of Psychology, University of Valencia, Valencia, Spain
| | - Gabriel Selva-Vera
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
| | - Joan Vila-Francés
- Intelligent Data Analysis Laboratory (IDAL), University of Valencia, Spain
| | - Diego Macias Saint-Gerons
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain
| | - Constanza San-Martín
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Department of Physiotherapy, University of Valencia, Valencia, Spain
| | - Rosa Ayesa-Arriola
- Department of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain
| | - Rafael Tabarés-Seisdedos
- Center for Biomedical Research in Mental Health Network (CIBERSAM), ISCIII, Madrid, Spain.,INCLIVA Biomedical Research Institute, Valencia, Spain.,TMAP Unidad de Evaluación en Autonomía Personal, Dependencia y Trastornos Mentales Graves, Department of Medicine, University of Valencia, Valencia, Spain.,Teaching Unit of Psychiatry and Psychological Medicine, Department of Medicine, University of Valencia, Valencia, Spain
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Walther S, Mittal VA. Motor Behavior is Relevant for Understanding Mechanism, Bolstering Prediction, And Improving Treatment: A Transdiagnostic Perspective. Schizophr Bull 2022; 48:741-748. [PMID: 35137227 PMCID: PMC9212099 DOI: 10.1093/schbul/sbac003] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Sebastian Walther
- To whom the correspondence should be addressed; Murtenstrasse 21, 3008 Bern, Switzerland; tel: +41 31 632 8979, fax: +41 31 632 8950, e-mail:
| | - Vijay A Mittal
- Departments of Psychology, Psychiatry, and Medical Social Sciences, Institute for Policy Research and Institute for Innovations in Developmental Sciences, Northwestern University, Evanston and Chicago, IL,USA
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