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Scott I, Nelson B. Are Psychiatric Nosologies Limiting the Success of Clinical Prediction Models? JAMA Psychiatry 2024; 81:1055-1056. [PMID: 39292481 DOI: 10.1001/jamapsychiatry.2024.2662] [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: 09/19/2024]
Abstract
This Viewpoint discusses the limitations of clinical prediction models in psychiatric research.
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Affiliation(s)
- Isabelle Scott
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Melbourne, Victoria, Australia
- Orygen, Parkville, Melbourne, Victoria, Australia
| | - Barnaby Nelson
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Melbourne, Victoria, Australia
- Orygen, Parkville, Melbourne, Victoria, Australia
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Waddington JL, Wang X, Zhen X. 'Whole-Body' Perspectives of Schizophrenia and Related Psychotic Illness: miRNA-143 as an Exemplary Molecule Implicated across Multi-System Dysfunctions. Biomolecules 2024; 14:1185. [PMID: 39334950 PMCID: PMC11430658 DOI: 10.3390/biom14091185] [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: 07/12/2024] [Revised: 09/17/2024] [Accepted: 09/18/2024] [Indexed: 09/30/2024] Open
Abstract
A wide array of biological abnormalities in psychotic illness appear to reflect non-cerebral involvement. This review first outlines the evidence for such a whole-body concept of schizophrenia pathobiology, focusing particularly on cardiovascular disease, metabolic syndrome and diabetes, immunity and inflammation, cancer, and the gut-brain axis. It then considers the roles of miRNAs in general and of miRNA-143 in particular as they relate to the epidemiology, pathobiology, and treatment of schizophrenia. This is followed by notable evidence that miRNA-143 is also implicated in each of these domains of cardiovascular disease, metabolic syndrome and diabetes, immunity and inflammation, cancer, and the gut-brain axis. Thus, miRNA-143 is an exemplar of what may be a class of molecules that play a role across the multiple domains of bodily dysfunction that appear to characterize a whole-body perspective of illness in schizophrenia. Importantly, the existence of such an exemplary molecule across these multiple domains implies a coordinated rather than stochastic basis. One candidate process would be a pleiotropic effect of genetic risk for schizophrenia across the whole body.
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Affiliation(s)
- John L. Waddington
- School of Pharmacy and Biomolecular Sciences, RCSI University of Medicine and Health Sciences, D02 YN77 Dublin, Ireland
- Jiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psychiatric-Disorders, Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China; (X.W.); (X.Z.)
| | - Xiaoyu Wang
- Jiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psychiatric-Disorders, Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China; (X.W.); (X.Z.)
| | - Xuechu Zhen
- Jiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psychiatric-Disorders, Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China; (X.W.); (X.Z.)
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Calzavara-Pinton I, Nibbio G, Barlati S, Bertoni L, Necchini N, Zardini D, Baglioni A, Paolini S, Poddighe L, Bulgari V, Lisoni J, Deste G, Vita A. Treatment of Cognitive Impairment Associated with Schizophrenia Spectrum Disorders: New Evidence, Challenges, and Future Perspectives. Brain Sci 2024; 14:791. [PMID: 39199483 PMCID: PMC11352256 DOI: 10.3390/brainsci14080791] [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: 07/11/2024] [Revised: 07/29/2024] [Accepted: 08/03/2024] [Indexed: 09/01/2024] Open
Abstract
Cognitive impairment associated with schizophrenia (CIAS) represents one of the core features of the disorder and has a significant impact on functional and rehabilitation outcomes of people living with schizophrenia spectrum disorders (SSD). The aim of this critical review is to highlight the most recent evidence on effective treatments available for CIAS, to discuss the current challenges in this field, and to present future perspectives that may help to overcome them. Concerning psychopharmacological approaches, among the most indicated strategies for the management and prevention of CIAS is to favor second-generation antipsychotic medications and avoid long-term and high-dose treatments with anticholinergic medications and benzodiazepines. Moreover, non-pharmacological approaches such as cognitive remediation and physical exercise-based programs represent evidence-based interventions in the treatment of CIAS that have shown reliable evidence of effectiveness on both cognitive and functional outcomes. These treatments, however, are still delivered to people accessing mental health services with a diagnosis of CIAS in an uneven manner, even in high-income countries. Academic and clinical partnership and collaboration, as well as advocacy from service users, families, carers, and stakeholders' organizations could help to reduce the bench to bedside gap in the treatment of CIAS. Future perspectives include the development of novel pharmacological agents that could be effective in the treatment of CIAS, the implementation of novel technologies such as telemedicine and virtual reality in the delivery of evidence-based interventions to improve accessibility and engagement, and further research in the field of non-invasive brain stimulation.
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Affiliation(s)
- Irene Calzavara-Pinton
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
| | - Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Stefano Barlati
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Lorenzo Bertoni
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Nicola Necchini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Daniela Zardini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Antonio Baglioni
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Stefano Paolini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Laura Poddighe
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
| | - Viola Bulgari
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Jacopo Lisoni
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
| | - Giacomo Deste
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
- Department of Mental Health, ASST Valcamonica, 25040 Brescia, Italy
| | - Antonio Vita
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
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Zoupou E, Moore TM, Calkins ME, Gur RE, Gur RC, Scott JC. Domain-specific associations between psychopathology and neurocognitive functioning. Psychol Med 2024; 54:3145-3155. [PMID: 38828712 DOI: 10.1017/s0033291724001302] [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: 06/05/2024]
Abstract
BACKGROUND Neurocognitive dysfunction is a transdiagnostic finding in psychopathology, but relationships among cognitive domains and general and specific psychopathology dimensions remain unclear. This study aimed to examine associations between cognition and psychopathology dimensions in a large youth cohort. METHOD The sample (N = 9350; age 8-21 years) was drawn from the Philadelphia Neurodevelopmental Cohort. Data from structured clinical interviews were modeled using bifactor confirmatory factor analysis (CFA), resulting in an overall psychopathology ('p') factor score and six orthogonal psychopathology dimensions: dysphoria/distress, obsessive-compulsive, behavioral/externalizing, attention-deficit/hyperactivity, phobias, and psychosis. Neurocognitive data were aggregated using correlated-traits CFA into five factors: executive functioning, memory, complex cognition, social cognition, and sensorimotor speed. We examined relationships among specific and general psychopathology dimensions and neurocognitive factors. RESULTS The final model showed both overall and specific associations between cognitive functioning and psychopathology, with acceptable fit (CFI = 0.91; TLI = 0.90; RMSEA = 0.024; SRMR = 0.054). Overall psychopathology and most psychopathology dimensions were negatively associated with neurocognitive functioning (phobias [p < 0.0005], behavioral/externalizing [p < 0.0005], attention-deficit/hyperactivity [p < 0.0005], psychosis [p < 0.0005 to p < 0.05]), except for dysphoria/distress and obsessive-compulsive symptoms, which were positively associated with complex cognition (p < 0.05 and p < 0.01, respectively). CONCLUSION By modeling a broad range of cognitive and psychopathology domains in a large, diverse sample of youth, we found aspects of neurocognitive functioning shared across clinical phenotypes, as well as domain-specific patterns. Findings support transdiagnostic examination of cognitive performance to parse variability in the link between neurocognitive functioning and clinical phenotypes.
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Affiliation(s)
- Eirini Zoupou
- Department of Psychiatry, Neurodevelopment and Psychosis Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tyler M Moore
- Department of Psychiatry, Neurodevelopment and Psychosis Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, Neurodevelopment and Psychosis Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Neurodevelopment and Psychosis Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Neurodevelopment and Psychosis Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute (LiBI), Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA 19104, USA
| | - J Cobb Scott
- Department of Psychiatry, Neurodevelopment and Psychosis Section, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- VISN4 MIRECC, Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA 19104, USA
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Kotov R, Carpenter WT, Cicero DC, Correll CU, Martin EA, Young JW, Zald DH, Jonas KG. Psychosis superspectrum II: neurobiology, treatment, and implications. Mol Psychiatry 2024; 29:1293-1309. [PMID: 38351173 PMCID: PMC11731826 DOI: 10.1038/s41380-024-02410-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 12/24/2023] [Accepted: 01/04/2024] [Indexed: 02/16/2024]
Abstract
Alternatives to traditional categorical diagnoses have been proposed to improve the validity and utility of psychiatric nosology. This paper continues the companion review of an alternative model, the psychosis superspectrum of the Hierarchical Taxonomy of Psychopathology (HiTOP). The superspectrum model aims to describe psychosis-related psychopathology according to data on distributions and associations among signs and symptoms. The superspectrum includes psychoticism and detachment spectra as well as narrow subdimensions within them. Auxiliary domains of cognitive deficit and functional impairment complete the psychopathology profile. The current paper reviews evidence on this model from neurobiology, treatment response, clinical utility, and measure development. Neurobiology research suggests that psychopathology included in the superspectrum shows similar patterns of neural alterations. Treatment response often mirrors the hierarchy of the superspectrum with some treatments being efficacious for psychoticism, others for detachment, and others for a specific subdimension. Compared to traditional diagnostic systems, the quantitative nosology shows an approximately 2-fold increase in reliability, explanatory power, and prognostic accuracy. Clinicians consistently report that the quantitative nosology has more utility than traditional diagnoses, but studies of patients with frank psychosis are currently lacking. Validated measures are available to implement the superspectrum model in practice. The dimensional conceptualization of psychosis-related psychopathology has implications for research, clinical practice, and public health programs. For example, it encourages use of the cohort study design (rather than case-control), transdiagnostic treatment strategies, and selective prevention based on subclinical symptoms. These approaches are already used in the field, and the superspectrum provides further impetus and guidance for their implementation. Existing knowledge on this model is substantial, but significant gaps remain. We identify outstanding questions and propose testable hypotheses to guide further research. Overall, we predict that the more informative, reliable, and valid characterization of psychopathology offered by the superspectrum model will facilitate progress in research and clinical care.
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Affiliation(s)
- Roman Kotov
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA.
| | | | - David C Cicero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Elizabeth A Martin
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Jared W Young
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - David H Zald
- Rutgers University, The State University of New Jersey, New Brunswick, NJ, USA
| | - Katherine G Jonas
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
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