Background: Anxiety and psychotic symptoms are common in patients with major depressive disorder (MDD), with a strong association with thyroid function. Age of onset contributes to the heterogeneity of MDD patients. This study aimed to assess the prevalence of psychotic symptoms in MDD patients with comorbid anxiety and to explore the relationship between thyroid function and psychotic symptoms by ages of onset.
Methods: A total of 894 first-episode, drug-naïve Chinese Han MDD patients with comorbid anxiety were recruited. Thyroid function and psychometric measures including Hamilton Anxiety Scale, Hamilton Depression Scale, and Positive and Negative Syndrome Scale were evaluated. Patients were divided into early adulthood onset (EAO, < 45 years old) and mid-adulthood onset (MAO, ≥ 45 years old) groups.
Results: The MAO subgroup had a higher prevalence of psychotic symptoms compared to EAO subgroup. TSH and TPOAb levels were positively correlated with psychotic symptoms severity, with a more pronounced effect in MAO subgroup. Furthermore, MDD severity partially mediated the effects of TPOAb and TSH levels on psychotic symptoms in both subgroups.
Limitations: A causal relationship could not be demonstrated with this cross-sectional study, and the results should be limited to first-episode, drug-naïve MDD patients without considering more potential confounders. Moreover, the male-to-female ratio imbalance is present.
Conclusions: Our results indicated that age of onset moderated the association between thyroid function and psychotic symptom, and depression severity partially mediated the effects of thyroid function on psychotic symptoms, suggesting thyroid function may serve as a biomarker of psychotic symptoms in MDD patients with anxiety.
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http://dx.doi.org/10.1016/j.jad.2023.07.015 | DOI Listing |
Mol Psychiatry
January 2025
Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Modelling the prodrome to severe mental disorders (SMD), including unipolar mood disorders (UMD), bipolar mood disorders (BMD) and psychotic disorders (PSY), should consider both the evolution and interactions of symptoms and substance use (prodromal features) over time. Temporal network analysis can detect causal dependence between and within prodromal features by representing prodromal features as nodes, with their connections (edges) indicating the likelihood of one feature preceding the other. In SMD, node centrality could reveal insights into important prodromal features and potential intervention targets.
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January 2025
National Clinical Research Center for Aging and Medicine at Huashan Hospital, MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200433, PR China.
The striatum, a core brain structure relevant for schizophrenia, exhibits heterogeneous volumetric changes in this illness. Due to this heterogeneity, its role in the risk of developing schizophrenia following exposure to environmental stress remains poorly understood. Using the putamen (a subnucleus of the striatum) as an indicator for convergent genetic risk of schizophrenia, 63 unaffected first-degree relatives of patients (22.
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January 2025
1Department of Metabolic & Bariatric Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Background: Food addiction and an impulsive personality can increase overeating, which can lead to weight gain. The amygdala and nucleus accumbens (NAcc) are critical for regulating obesogenic behaviour. However, whether the amygdala or the NAcc acts as the neural basis for the regulation of food addiction, impulsive personality, and body weight remains unclear.
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January 2025
Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia.
The COVID-19 pandemic was an unprecedented global health crisis. Vulnerable populations with preexisting mental illness have been disproportionately burdened and may experience adverse mental health outcomes related to the COVID-19 pandemic. Our objective was to evaluate the association between COVID-19 diagnosis, known exposure to COVID-19, sheltering in place, symptom severity, psychological distress, and depression severity among adults with severe mental illness (SMI).
View Article and Find Full Text PDFBrain Behav Immun Health
February 2025
Oswaldo Cruz Foundation, Institute Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
Schizophrenia is a chronic psychiatric disorder characterized by a variety of symptoms broadly categorized into positive, negative, and cognitive domains. Its etiology is multifactorial, involving a complex interplay of genetic, neurobiological, and environmental factors, and its neurobiology is associated with abnormalities in different neurotransmitter systems. Due to this multifactorial etiology and neurobiology, leading to a wide heterogeneity of symptoms and clinical presentations, current antipsychotic treatments face challenges, underscoring the need for novel therapeutic approaches.
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