Progress in Neuro-Psychopharmacology & Biological Psychiatry最新文献

Background

Borderline personality disorder (BPD) is a serious disorder with a lifetime prevalence of 2.7–5.9% and is thought to correlate with altered neuroplasticity. The aim of the present study is to investigate possible associations of BPD (−severity) and alterations in neurological soft signs (NSS) and olfactory function.

Methods

For the monocentric observational study, 39 female subjects with a BPD diagnosis and 19 female healthy control subjects were recruited. The groups were matched by age. Olfactory functions were examined using Sniffin’ Sticks. NSS were assessed by a standardized test with 50 items.

Results

BPD subjects have higher NSS scores in group comparison. By contrast, there are no alterations in the total score of olfactory function, while the BPD subjects scored higher in smell identification. Within the BPD group, the total NSS score was discovered to have a negative correlation with olfactory function. BPD subjects taking antipsychotics show more NSS than those without. We found no significant influence of posttraumatic stress disorder on the NSS or olfactory function. The BPD-severity correlates with NSS.

Limitations

Due to the cross-sectional design, we did not have a follow up examination. The sample size was small, and all patients had psychiatric comorbidities. Additionally, we did not perform MRI to connect our findings with possible structural abnormalities.

Conclusions

Our study confirmed altered NSS in BPD patients, whereas no impairment in the olfactory function was found. Further research is required to establish NSS and smell tests as clinical screening tools in BPD patients and to uncover the disorder's impact on neuroplasticity.

Background

The clinical manifestation of autism spectrum disorder (ASD) is linked to the disruption of fundamental neurodevelopmental pathways. Emerging evidences claim to have an upregulation of canonical Wnt/β-catenin pathway while downregulation of PPARγ pathway in ASD. This study aims to investigate the therapeutic potential of pioglitazone, a PPARγ agonist, in rat model of ASD. The study further explores the possible role of PPARγ and Wnt/β-catenin pathway and their interaction in ASD by using their modulators.

Material and methods

Pregnant female Wistar rats received 600 mg/kg of valproic acid (VPA) to induce autistic symptoms in pups. Pioglitazone (10 mg/kg) was used to evaluate neurobehaviors, relative mRNA expression of inflammatory (IL-1β, IL-6, IL-10, TNF-α), apoptotic markers (Bcl-2, Bax, & Caspase-3) and histopathology (H&E, Nissl stain, Immunohistochemistry). Effect of pioglitazone was evaluated on Wnt pathway and 4 μg/kg dose of 6-BIO (Wnt modulator) was used to study the PPARγ pathway.

Results

ASD model was established in pups as indicated by core autistic symptoms, increased neuroinflammation, apoptosis and histopathological neurodegeneration in cerebellum, hippocampus and amygdala. Pioglitazone significantly attenuated these alterations in VPA-exposed rats. The expression study results indicated an increase in key transcription factor, β-catenin in VPA-rats suggesting an upregulation of canonical Wnt pathway in them. Pioglitazone significantly downregulated the Wnt signaling by suppressing the expression of Wnt signaling-associated proteins. The inhibiting effect of Wnt pathway on PPARγ activity was indicated by downregulation of PPARγ-associated protein in VPA-exposed rats and those administered with 6-BIO.

Conclusion

In the present study, upregulation of canonical Wnt/β-catenin pathway was demonstrated in ASD rat model. Pioglitazone administration significantly ameliorated these symptoms potentially through its neuroprotective effect and its ability to downregulate the Wnt/β-catenin pathway. The antagonism between the PPARγ and Wnt pathway offers a promising therapeutic approach for addressing ASD.

Background

Diabetic Mellitus (DM) has progressively emerged as a worldwide health problem, leading to the widespread deployment of antidiabetic drugs as the primary therapy in the global population. The incidence of diabetes medications-related movement disorders (drMD) is noteworthy but underestimated by clinical practitioners.

Research design and Methods

In order to address the incidence of drMD in DM patients and realize the serious outcomes associated with drMD, we conducted a real-world pharmacovigilance study of 612,043 DM patients using the FDA Adverse Event Reporting System (FAERS) database from January 2004 to September 2023. Reporting Odd Ratio (ROR) was calculated to reflect the risk of drMD. A multivariable logistic regression analysis was employed to adjust crude ROR with the mixed factors including age, sex and various antidiabetic treatments. Afterward, a Mendelian Randomization (MR) study was performed to elucidate the underlying genetic correlation between the genetically proxied targets of antidiabetic drugs and motor disorders.

Results

Among 11,729 cases of motor adverse events in DM patients, six categories of drMD were significantly associated with DM medications. Noticeably, metformin was revealed to drastically increase the incidence of parkinsonism (adjusted ROR:3.97; 95 %CI (3.03, 5.19), p = 5.68e-24), bradykinesia (adjusted ROR:1.69; 95 %CI (1.07,2.59), p = 0.02) and irregular hyperkinesia, including chorea, choreoathetosis and athetosis. Insulin/insulin analogues and GLP-1 analogues presented notably higher odds of tremor: the adjusted ROR (aROR) of insulin and GLP-1 analogue is respectively 1.24 (95 %CI (1.15,1.34), p = 2.51e-08) and 1.78 (95 %CI (1.65,1.91), p = 5.64e-54). The combined therapeutic effects of multiple genetic variants of metformin, especially AMP-activated protein kinase (AMPK) were markedly linked to a greater likelihood of developing secondary parkinsonism (OR:10.816, p = 0.049) according to MR analyses.

Conclusion

The use of antidiabetic medications was significantly related to an increased incidence of movement disorders in DM patients. Moreover, MR analyses provided further genetic evidence for the pharmacovigilance study. This comprehensive investigation might help physicians recognize neurological adverse events associated with antidiabetic treatments and administer effective interventions.

Background

Motor impairments and sensory processing abnormalities are prevalent in autism spectrum disorder (ASD), closely related to the core functions of the primary motor cortex (M1) and the primary somatosensory cortex (S1). Currently, there is limited knowledge about potential therapeutic targets in the subregions of M1 and S1 in ASD patients. This study aims to map clinically significant functional subregions of M1 and S1.

Methods

Resting-state functional magnetic resonance imaging data (NTD = 266) from Autism Brain Imaging Data Exchange (ABIDE) were used for subregion modeling. We proposed a distance-weighted sparse representation algorithm to construct brain functional networks. Functional subregions of M1 and S1 were identified through consensus clustering at the group level. Differences in the characteristics of functional subregions were analyzed, along with their correlation with clinical scores.

Results

We observed symmetrical and continuous subregion organization from dorsal to ventral aspects in M1 and S1, with M1 subregions conforming to the functional pattern of the motor homunculus. Significant intergroup differences and clinical correlations were found in the dorsal and ventral aspects of M1 (p < 0.05/3, Bonferroni correction) and the ventromedial BA3 of S1 (p < 0.05/5). These functional characteristics were positively correlated with autism severity. All subregions showed significant results in the ROI-to-ROI intergroup differential analysis (p < 0.05/80).

Limitations

The generalizability of the segmentation model requires further evaluation.

Conclusions

This study highlights the significance of M1 and S1 in ASD treatment and may provide new insights into brain parcellation and the identification of therapeutic targets for ASD.

Background

The hypothalamus may be involved in the pathogenesis of schizophrenia. Investigating hypothalamus dysfunction in schizophrenia and probing how it is related to symptoms and responds to antipsychotic medication is crucial for understanding the potential mechanism of hypothalamus dysfunction under the long-term illness.

Methods

We recruited 216 patients with schizophrenia, including 140 antipsychotic-naïve first-episode patients (FES, including 44 patients with 1-year follow-up data), 76 chronically treated schizophrenia (CTS), and 210 healthy controls (HC). Hypothalamic seed-based functional connectivity (FC) was calculated and compared among the FES, CTS, and HC groups using analysis of covariance. Exploratory analysis was conducted between the FES patients at baseline and after 1-year follow-up. Significantly altered hypothalamic FCs were then related to clinical symptomology, while age- and illness-related regression analyses were also conducted and compared between diagnostic groups.

Results

The FES patients showed decreased hypothalamic FCs with the midbrain and right thalamus, whereas the CTS patients showed more severe decreased hypothalamic FCs with the midbrain, right thalamus, left putamen, right caudate, and bilateral anterior cingulate cortex compared to HCs. These abnormalities were not correlated to the symptomology or illness duration, or not reversed by the antipsychotic treatment. Age-related hypothalamic FC decrease was also identified in the abovementioned regions, and a faster age-related decline of the hypothalamic FC was observed with the left putamen and bilateral anterior cingulate cortex.

Conclusion

Age-related hypothalamic FC decrease extends the functional alterations that characterize the neurodegenerative nature of schizophrenia. Future studies are required to further probe the hormonal or endocrinal underpinnings of such alterations and trace the precise progressive trajectories.

Background

Major depressive disorder (MDD) and schizophrenia (SCZ) are heritable brain disorders characterized by alterations in cortical thickness. However, the shared genetic basis for cortical thickness changes in these disorders remains unclear.

Methods

We conducted a systematic literature search on cortical thickness in MDD and SCZ through PubMed and Web of Science. A coordinate-based meta-analysis was performed to identify cortical thickness changes. Additionally, utilizing summary statistics from the largest genome-wide association studies for depression (N_case = 268,615, N_control = 667,123) and SCZ (N_case = 53,386, N_control = 77,258), we explored shared genomic loci using conjunctional false discovery rate (conjFDR) analysis. Transcriptome-neuroimaging association analysis was then employed to identify shared genes associated with cortical thickness alterations, and enrichment analysis was finally carried out to elucidate the biological significance of these genes.

Results

Our search yielded 34 MDD (N_case = 1621, N_control = 1507) and 19 SCZ (N_case = 1170, N_control = 1043) neuroimaging studies for cortical thickness meta-analysis. Specific alterations in the left supplementary motor area were observed in MDD, while SCZ exhibited widespread reductions in various brain regions, particularly in the frontal and temporal areas. The conjFDR approach identified 357 genomic loci jointly associated with MDD and SCZ. Within these loci, 55 genes were found to be associated with cortical thickness alterations in both disorders. Enrichment analysis revealed their involvement in nervous system development, apoptosis, and cell communication.

Conclusion

This study revealed the shared genetic architecture underlying cortical thickness alterations in MDD and SCZ, providing insights into common neurobiological pathways. The identified genes and pathways may serve as potential transdiagnostic markers, informing precision medicine approaches in psychiatric care.

Insomnia is the second most prevalent psychiatric disorder worldwide, but the understanding of the pathophysiology of insomnia remains fragmented. In this study, we calculated the connectome gradient in 50 chronic insomnia disorder (CID) patients and 38 healthy controls (HC) to assess changes due to insomnia and utilized these gradients in a connectome-based predictive modeling (CPM) to predict clinical symptoms associated with insomnia. The results suggested that insomnia led to significant alterations in the functional gradients of some brain areas. Specifically, the gradient scores in the middle frontal gyrus, superior anterior cingulate gyrus, and right nucleus accumbens were significantly higher in the CID patients than in the HC group, whereas the scores in the middle occipital gyrus, right fusiform gyrus, and right postcentral gyrus were significantly lower than in the HC group. Further correlation analysis revealed that the right middle frontal gyrus is positively correlated with the self-rating anxiety scale ($r=0.3702$). Additionally, the prediction model built with functional gradients could well predict the sleep quality ($r=0.5858$), anxiety ($r=0.6150$), and depression ($r=0.4022$) levels of insomnia patients. This offers an objective depiction of the clinical diagnosis of insomnia, yielding a beneficial impact on the identification of effective biomarkers and the comprehension of insomnia.

Background

Impaired gamma band oscillation, specifically 40-Hz auditory steady state response (ASSR) has been robustly found in schizophrenia, while there is relatively little evidence characterizing the ASSR before full-blown psychosis.

Objective

To characterize gamma-band ASSR in populations at clinical high-risk for psychosis (CHR).

Methods

One hundred and seven CHR subjects and sixty-five healthy control (HC) subjects were included and completed clinical assessments, the ASSR paradigm of electroencephalography (EEG) and cognitive assessments. Both indices of event-related spectrum perturbation (ERSP) and intertrial coherence (ITC) in response to 20-Hz, 30-Hz and 40-Hz click sounds were respectively qualified and compared between these two groups, as well as the relationship to clinical psychopathology and cognitive function was assessed.

Results

At 40-Hz click sounds, ERSP in HC group (1.042 ± 0.047) was statistical significantly increased than that in CHR group (0.873 ± 0.036) (p = 0.005)；at 30-Hz, ERSP in HC group (0.536 ± 0.024) was increased than that in CHR group (0.483 ± 0.019), but the difference was trend statistical significance (p = 0.083)；at 20-Hz, ERSP in HC group (0.452 ± 0.017) was not different significantly from CHR group (0.418 ± 0.013) (p = 0.104).

ERSP of the HC group was the highest at 40-Hz click sounds, followed by 30-Hz, and the lowest at 20-Hz. The difference between any two of the three ERSP showed statistical significance (30-Hz vs. 40-Hz: p < 0.001; 20-Hz vs. 40-Hz: p < 0.001；20-Hz vs. 30-Hz: p = 0.003). Similarly, ERSP of the CHR group was the highest at 40-Hz click sounds, followed by 30-Hz, and the lowest at 20-Hz. The difference between any two of these three ERSP showed statistical significance (30-Hz vs. 40-Hz: p < 0.001; 20-Hz vs. 40-Hz: p < 0.001；20-Hz vs. 30-Hz: p = 0.002).

A statistically significant small positive correlation of 40-Hz ERSP with signal processing speed score was observed in the HC group (ρ = 0.27, p = 0.029). A statistically significant small negative correlation of 40-Hz ERSP with visual learning score was observed in the CHR group (ρ = −0.22, p = 0.023).

Conclusion

Impaired 40-Hz but undamaged hierarchical organization mode of auditory steady state presented in the CHR populations. Abnormal 40 Hz ASSR for CHR might be associated with cognitive functions, such as information processing speed and visual memory.

Alcohol use disorder (AUD) is a common psychiatric condition with substantial global mortality. Despite extensive research into its pathophysiology, the cognitive predispositions driving alcohol dependence are less understood. This study explores whether biased cognition, specifically traits of optimism and pessimism, predicts susceptibility to alcohol-seeking behaviors using an animal model.

Rats were initially tested for judgement bias through Ambiguous Cue Interpretation tests. Those identified as ‘optimistic' or ‘pessimistic' were further examined for their tendency to escalate alcohol intake using the intermittent access 2-bottle choice (2BC) paradigm. Additionally, we assessed how judgement bias influenced the development of compulsive alcohol-seeking behavior in a Seeking-Taking (ST) and Seeking-Taking Punishment tasks, alcohol-seeking motivation in the Progressive Ratio Schedule of Reinforcement paradigm, the speed of extinction, and reinstatement after abstinence. Neurochemical analyses were conducted to investigate trait-specific differences in neurotransmitter-related gene expression and receptor densities in the brain. We used TaqMan Gene Expression Array Cards to analyze expression levels of genes linked to serotonergic, dopaminergic, glutamatergic, and GABAergic pathways, and alcohol metabolism in various brain regions. Receptor densities for 5-HT_1A, 5-HT_2A, and D₂ were measured using autoradiography analysis.

Behaviorally, ‘optimistic' rats showed significantly lower alcohol consumption in the 2BC paradigm compared to ‘pessimistic' rats. This lowered intake correlated with decreased monoamine oxidase-A (Maoa) expression in the medial prefrontal cortex (mPFC) and increased metabotropic glutamate receptor 2 (Grm2) expression in the amygdala (Amy). Additionally, we observed significant interactions between judgement bias and alcohol intake in the expression of several genes in the mPFC, nucleus accumbens (Nacc), orbitofrontal cortex (OFC), and Amy, as well as in 5-HT_2A receptor binding in the Nacc.

Overall, these results suggest that optimism is linked to lower alcohol consumption and related neurochemical changes, indicating a potential cognitive mechanism in AUD risk.

The high heterogeneity observed among patients with obsessive-compulsive disorder (OCD) underscores the need to identify neurophysiological OCD subtypes to facilitate personalized diagnosis and treatment. In this study, our aim was to identify potential OCD subtypes based on individualized functional connectome abnormalities. We recruited a total of 99 patients with OCD and 104 healthy controls (HCs) matched for demographic characteristics. Individualized functional connectome abnormalities were obtained using normative models of functional connectivity strength (FCS) and used as features to unveil OCD subtypes. Sensitivity analyses were conducted to assess the reproducibility and robustness of the clustering outcomes. Patients exhibited significant intersubject heterogeneity in individualized functional connectome abnormalities. Two subtypes with distinct patterns of FCS abnormalities relative to HCs were identified. Subtype 1 patients primarily exhibited significantly decreased FCS in regions including the frontal gyrus, insula, hippocampus, and precentral/postcentral gyrus, whereas subtype 2 patients demonstrated increased FCS in widespread brain regions. When all patients were combined, no significant differences were observed. Additionally, the identified subtypes showed significant differences in age of onset. Furthermore, sensitivity analyses confirmed the reproducibility of our subtyping results. In conclusion, the identified OCD subtypes shed new light on the taxonomy and neurophysiological heterogeneity of OCD.