Emotion Processing Deficit in Euthymic Bipolar Disorder: A Potential Endophenotype

Background: Emotion processing deficits have been described in patients with bipolar disorder (BD) and are considered one of the core cognitive abnormalities in BD with endophenotype potential. However, the literature on specific impairments in emotion processing cognitive strategies (directive/cortical/higher versus intuitive/limbic/lower) in euthymic adult BD patients and healthy first-degree relatives/high-risk (HR) subjects in comparison with healthy controls (HCs) is sparse. Methods: We examined facial emotion recognition deficits (FERD) in BD (N = 30), HR (N = 21), and HC (N = 30) matched for age (years), years of education, and sex using computer-administered face emotions–Matching And Labeling Task (eMALT). Results: The three groups were significantly different based on labeling accuracy scores for fear and anger (FA) (P \u3c 0.001) and sad and disgust (SD) (P \u3c 0.001). On post-hoc analysis, HR subjects exhibited a significant deficit in the labeling accuracy of FA facial emotions (P \u3c 0.001) compared to HC. The BD group was found to have significant differences in all FA (P = 0.004) and SD (P = 0.003) emotion matching as well as FA (P = 0.001) and SD (P \u3c 0.001) emotion labeling accuracy scores. Conclusions: BD in remission exhibits FERD in general, whereas specific labeling deficits of fear and anger emotions, indicating impaired directive higher order aspect of emotion processing, were demonstrated in HR subjects. This appears to be a potential endophenotype. These deficits could underlie the pathogenesis in BD, with possible frontolimbic circuitry impairment. They may have potential implications in functional recovery and prognosis of BD

Toxoplasma Antibody Titers in Mania: A Cross Sectional Study

Background: Recent studies have found a role of infectious agents, especially Toxoplasma gondii, in pathology of bipolar disorder - mania. Aim and Objectives: This study was conducted with the aim to find the prevalence of toxoplasma antibody titers in Indian patients with mania and to assess its specificity towards the clinical profile. Material and Methods: Thirty-four patients having mania were recruited who were psychotropic naïve/free, along with 74 healthy controls. Psychopathology was assessed using structured assessment scales. Serum concentration of Toxoplasma IgG was measured using Diesse Enzywell Toxoplasma IgG immunoassay kit. Results: Mann–Whitney U test revealed that the toxoplasma antibody levels were significantly higher in the mania group than healthy controls (U = 766.5, z = 3.25, p = 0.001). Spearman correlation analyses did not reveal any significant correlation between toxoplasma antibody levels and age at onset (ñ = 0.19, p = 0.26) or YMRS scores (ñ = 0.15, p = 0.39). Discussion: The herein reported association could have potential implications in better understanding the pathophysiology of mania and its treatment. This is the first study to evaluate the association between toxoplasma titers and mania in India with only a few studies done elsewhere in the world

Relationship between Brain-Derived Neurotrophic Factor and Schneiderian First Rank Symptoms in Antipsychotic-Naïve Schizophrenia

Neurodevelopmental aberrations influenced by neurotrophic factors are among the important paradigms to understand schizophrenia pathogenesis. Among various neurotrophic factors, Brain-Derived Neurotrophic Factor (BDNF) is strongly implicated by previous research studies. Evaluating co-morbidity free, antipsychotic-naïve schizophrenia patients for BDNF levels and examining the correlates of this factor with symptoms might facilitate elucidation of its pathogenetic role without confounds of potential influencing factors. In this study, 59 co-morbidity free, antipsychotic-naïve schizophrenia patients were compared with 60 healthy controls for serum BDNF levels. In addition, the relationship between Schneiderian First Rank Symptoms (FRS) and BDNF level in patients was examined. As a group, schizophrenia patients (28.8 ± 11.7 ng/mL) had significantly lower serum BDNF than healthy controls (34.9 ± 8.2 ng/mL) after controlling for the potential confounding effects of age and sex (F = 7.8; p = 0.006). Further analyses revealed FRS status to have significant effect on plasma BDNF after controlling for the potential confounding effects of age and sex (F = 4.5; p = 0.01). Follow-up post hoc analyses revealed FRS(+) patients to have significant deficit in plasma BDNF level in comparison with healthy controls (p = 0.002); however, FRS(−) patients did not differ from healthy controls (p = 0.38). Our study observations add further support to the role for BDNF in schizophrenia pathogenesis and suggest a potential novel link between deficient BDNF and FRS

Predicting Individual Survival Distributions Using ECG: A Deep Learning Approach Utilizing Features Extracted by a Learned Diagnostic Model

In the field of healthcare, individual survival prediction is important for personalized treatment planning. This study presents machine learning algorithms for predicting Individual Survival Distributions (ISD) using electrocardiography (ECG) data in two different formats. The models, which predict time until death, are developed and evaluated on a large, population-based cohort from Alberta, Canada. Our results demonstrate that models trained on raw ECG waveforms significantly outperform those trained on traditional ECG measurements in several metrics, including concordance index, hinge L1 loss, margin L1 loss, and margin truncated L1 loss. Additionally, the integration of predicted probabilities from wide-range diagnostic tasks not only enhances our ISD models' performance but also makes them significantly superior to other models across all evaluation metrics in individual survival prediction tasks. This innovative approach highlights the potential to leverage insights from diagnostic models for prognostic tasks, such as individual survival prediction. These findings could have far-reaching implications for the development of personalized treatment plans and open new avenues for future research in survival prediction using ECGs

Learning Structure Activity Relationship (SAR) of the Wittig Reaction from Genetically-Encoded Substrates

The Wittig reaction can be used for late stage functionalization of proteins and peptides to ligate glycans, pharmacophores, and many other functionalities. In this manuscript, we modified 160,000 N-terminal glyoxaldehyde peptides displayed on phage with the Wittig reaction by biotin labeled ylide under conditions that functionalize only 1% of the library population. Deep-sequencing of the biotinylated and input populations estimated the rate of conversion for each sequence. This “deep conversion” (DC) from deep sequencing correlates with rate constants measured by HPLC. Peptide sequences with fast and slow reactivity highlighted a critical role of primary backbone amides (N-H) in accelerating the rate of the aqueous Wittig reaction. Experimental measurement of reaction rates and density functional theory (DFT) computation of the transition state geometries corroborated this relationship. We also collected deep-sequencing data to build structure activity relationship (SAR) models that can predict DC value of the Wittig reaction. By using this data, we trained two classifier models based on Gradient Boosted trees. These classifiers achieved area under the ROC (Receiver Operating Characteristic) Curve (ROC AUC) of 81.2 ± 0.4 and 73.7 ± 0.8 (90–92% accuracy) in determining whether a sequence belonged to the top 5% or the bottom 5% in terms of its reactivity. We have deployed our learned models as a publicly available web app: http://44.226.164.95/ We anticipate that phage-displayed peptides and related mRNA or DNA-displayed substrates can be employed in a similar fashion to study the substrate scope and mechanisms of many other chemical reactions

Relationship between Interleukin-6 Gene Polymorphism and Hippocampal Volume in Antipsychotic-Naïve Schizophrenia: Evidence for Differential Susceptibility?

<div><p>Background</p><p>Various lines of evidence including epidemiological, genetic and foetal pathogenetic models suggest a compelling role for Interleukin-6 (IL-6) in the pathogenesis of schizophrenia. IL-6 mediated inflammatory response triggered by maternal infection or stress induces disruption of prenatal hippocampal development which might contribute towards psychopathology during adulthood. There is a substantial lack of knowledge on how genetic predisposition to elevated IL-6 expression effects hippocampal structure in schizophrenia patients. In this first-time study, we evaluated the relationship between functional polymorphism <i>rs1800795</i> of <i>IL-6</i> and hippocampal gray matter volume in antipsychotic-naïve schizophrenia patients in comparison with healthy controls.</p><p>Methodology</p><p>We examined antipsychotic-naïve schizophrenia patients [N = 28] in comparison with healthy controls [N = 37] group matched on age, sex and handedness. Using 3 Tesla – MRI, bilateral hippocampi were manually segmented by blinded raters with good inter-rater reliability using a valid method. Additionally, Voxel-based Morphometry (VBM) analysis was performed using hippocampal mask. The IL-6 level was measured in blood plasma using ELISA technique. SNP <i>rs1800795</i> was genotyped using PCR and DNA sequencing. Psychotic symptoms were assessed using Scale for Assessment of Positive Symptoms and Scale for Assessment of Negative Symptoms.</p><p>Results</p><p>Schizophrenia patients had significantly deficient left and right hippocampal volumes after controlling for the potential confounding effects of age, sex and total brain volume. Plasma IL-6 levels were significantly higher in patients than controls. There was a significant diagnosis by <i>rs1800795</i> genotype interaction involving both right and left hippocampal volumes. Interestingly, this effect was significant only in men but not in women.</p><p>Conclusion</p><p>Our first time observations suggest a significant relationship between <i>IL-6 rs1800795</i> and reduced hippocampal volume in antipsychotic-naïve schizophrenia. Moreover, this relationship was antithetical in healthy controls and this effect was observed in men but not in women. Together, these observations support a “differential susceptibility” effect of <i>rs1800795</i> in schizophrenia pathogenesis mediated through hippocampal volume deficit that is of possible neurodevelopmental origin.</p></div

Box plot depicting significant diagnosis-by-genotype interaction on hippocampus volume between patients and controls.

<p>Figure shows box plot depicting significant diagnosis by genotype interaction involving both right and left hippocampal volumes – i.e. the effect of <i>rs1800795</i> genotypes [GG & GG/GC] on hippocampal volume was found to be antithetical between patients and controls; the interaction boxplot shows the five statistics of hippocampal volume (minimum, first quartile, median, third quartile, and maximum) for each genotype per group.</p

Comparative profile of schizophrenia patients and healthy controls.

<p>* - Independent samples t-test;</p>$<p>- Chi-Square test; ^# - ANCOVA.</p><p>£ - data was available for 25 patients and 33 controls.</p

VBM analysis of hippocampal gray matter.

<p>VBM analysis of hippocampal gray matter.</p