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Soni, B.

Publications and source records attributed to Soni, B..

7 recordsLinked to original sources

Sequence adaptations satisfy the constraints of mitochondrial membrane protein evolution

Inner mitochondrial membrane proteins must be sufficiently hydrophilic to withstand aqueous exposure during translation and transit to the mitochondria. Meanwhile, their transmembrane segments must be sufficiently hydrophobic to stably embed in the lipid membrane. We hypothesized that sequence-level adaptations evolved to balance these constraints. Here, we integrate structure-informed evolutionary analyses of mitochondrial proteins with atomistic simulations and cell-based experiments to identify aliphatic-to-threonine substitutions (ATS) as a potential solution to these constraints. With high statistical confidence, this transmembrane segment-specific adaptation is recurrently and convergently observed throughout mitochondrial evolution. Conformational analyses show that threonine interacts with both water and the transmembrane helix backbone, thereby lowering hydrophobicity without destabilizing secondary structure. In the extremely hydrophobic ATP6 protein, reverting threonines to aliphatic residues disrupts mitochondrial targeting, while introducing threonines into a poorly targeted variant improves its mitochondrial localization. These findings have implications for mitochondrial genome evolution, the rational design of membrane proteins, and potentially mitochondrial gene therapy.

biochemistry↗

Amyloid-beta biomarkers in Braak stages and their predictive relationships with cognitive impairment: Support vector machine and deep learning approaches

Amyloid-beta (A{beta}) and tau tangles are hallmarks of Alzheimers disease. A{beta} distributions in the tau-defined Braak staging regions and their multivariate predictive relationships with mild cognitive impairment (MCI) are not known. In this study, we used PiB PET data from 60 participants (33 with MCI and 27 healthy controls (HC)), quantified A{beta} as distribution volume ratio (DVR) in Braak regions, and compared between MCI and controls to test the hypothesis that DVR alters with declining cognition. We found elevated DVR in participants with MCI, especially in the spatial distribution of Braak stages III-IV and V-VII, while an alteration in Braak stage I-II was near the statistical significance. DVR markers correlated with cognitive status, especially in Braak stages III-IV and VI-V. To evaluate whether these markers are predictive of cognitive dysfunction, we designed support vector machine and artificial neural network models. These methods showed predictive multivariate relationships between A{beta} makers of Braak regions and cognitive impairment. Overall, these results highlight the importance of computer-aided research efforts for understanding AD pathophysiology.

neuroscience↗

Neuro-anatomical and neuro-molecular markers in salience network and their integration in machine learning-based prediction of cognitive dysfunction in mild cognitive impairment

Recent studies indicate disrupted functional mechanisms of salience network regions, especially right anterior insula (RAI), left AI (LAI), and anterior cingulate cortex (ACC), in mild cognitive impairment (MCI). However, the underlying neuro-anatomical and neuro-molecular mechanisms in these regions are not clearly understood yet. It is also unknown whether integration of multi-modal neuro-anatomical and neuro-molecular markers could predict cognitive impairment better in MCI. Herein we quantified neuro-anatomical volumetric markers via structural magnetic resonance imaging (sMRI) and neuro-molecular amyloid markers via positron emission tomography with Pittsburgh compound B (PET PiB) in SN regions of MCI (n = 33) and healthy controls (n = 27). We found that neuro-anatomical markers are significantly reduced while neuro-molecular markers are significantly elevated in SN nodes of MCI compared to healthy controls (p < 0.05). These altered markers in MCI patients were associated with their worse cognitive performance (p < 0.05). Our machine learning-based modeling further suggested that the integration of multi-modal markers predicts cognitive impairment in MCI superiorly compared to using single modality-specific markers. Overall, these findings shed light on the underlying neuro-anatomical volumetric and neuro-molecular amyloid alterations in SN regions and show the significance of multi-modal markers integration approach in better predicting cognitive impairment in MCI.

neuroscience↗

Disrupted controlling mechanism of salience network on default-mode network and central-executive network in schizophrenia

Neuroimaging studies suggest that the human brain consists of intrinsically organized large-scale neural networks. Among those networks, the interplay among default-mode network (DMN), salience network (SN), and central-executive network (CEN)has been widely employed to understand the functional interaction patterns in health and diseases. This triple network model suggests that SN causally controls DMN and CEN in healthy individuals. This interaction is often referred to as the dynamic controlling mechanism of SN. However, such interactions are not well understood in individuals with schizophrenia. In this study, we leveraged resting state functional magnetic resonance imaging (fMRI) data of schizophrenia (n = 67) and healthy controls (n = 81) to evaluate the functional interactions among DMN, SN, and CEN using dynamical causal modeling. In healthy controls, our analyses replicated previous findings that SN regulates DMN and CEN activities (Mann-Whitney U test; p < 10-8). In schizophrenia, however, our analyses revealed the disrupted SN-based controlling mechanism on DMN and CEN (Mann-Whitney U test; p < 10-16). These results indicate that the disrupted controlling mechanism of SN on two other neural networks may be a candidate neuroimaging phenotype in schizophrenia.

neuroscience↗

Shiitake mycelium fermentation improves digestibility, nutritional value, flavor and functionality of plant proteins

Plant proteins can serve as inexpensive and environmentally friendly meat-replacements. However, poor taste characteristics and relatively low nutritional value prevent their full acceptance as meat substitutes. Fermentation of food has been historically used to improve the quality of foods. In this work we describe the improvement in digestibility, nutritional value, physical properties, and organoleptic characteristics, of a pea and rice protein concentrate blend through fermentation with shiitake mushroom mycelium. Ileal digestibility pig studies show increases in the DIAAS for the shiitake fermented pea and rice protein blend turning the blend into an "excellent source" of protein for humans. The fermentation also increases the solubility of the protein blend and reduces the content of the antinutrient compounds phytates and protease inhibitor. Mass spectrometry and sensory analyses of fermented protein blend indicates that fermentation leads to a reduction in off-note compounds substantially improving its organoleptic performance.

bioengineering↗

SOCS1/SOCS3 Immune Axis Modulates Synthetic Perturbations in IL6 Biological Circuit for Dynamical Cellular Response

Macrophage phenotype plays a crucial role in the pathogenesis of Leishmanial infection. Pro-inflammatory cytokines are the key regulators that eliminate the infection induced by Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway. Suppressor of cytokine signaling (SOCS) is a well-known negative feedback regulator of JAK/STAT pathway. However, change in expression levels of SOCS in correlation with the establishment of infection is not well understood. Mathematical modeling of IL6 signaling pathway have helped identified the role of SOCS1 in establishment of infection. Furthermore, the ratio of SOCS1 and SOCS3 has been quantified both in silico as well as in vitro, indicating an immune axis which governs the macrophage phenotype during L. major infection. The ability of SOCS1 protein to inhibit the JAK/STAT1 signaling pathway and thereby decreasing pro-inflammatory cytokine expression makes it a strong candidate for therapeutic intervention. Using synthetic biology approaches, peptide based immuno-regulatory circuit have been designed to target the activity of SOCS1 which can restore pro-inflammatory cytokine expression during infection.

systems biology↗

Infection dynamics in L. major autophagic machinery is regulated by ATG9-PI3P negative feedback loop

Autophagy is a self-destructing mechanism of cell via lysosomal degradation, which helps to degrade/ destroy hazardous substances, proteins, degenerating organelles and recycling nutrient. It plays an important role in cellular homeostasis and regulates internal environment of cell, moreover, when needed causes non-apoptotic programmed death of cell. Its usually detailed with ageing and nutritional stress, but recent researches provide support for its role in innate as well as adaptive immunity. Autophagy has been observed as one of the major factors in parasite clearance in leishmaniasis. Due to intra-cellular pathogen, the cell mediated response is only alternative for adaptive immunity against Leishmania in host. T-cells have been observed as main component of cell mediated immunity in leishmaniasis. The differentiation of T-cells generates either destruction or proliferation of parasite as different kind of cytokine mediate different results. Pro-inflammatory cytokine IL12 and TNF generate Th2 response which helps in active phagocytosis of parasite whereas an anti-inflammatory cytokine like IL10 mediate parasite promotion by blocking autophagic pathways and inhibiting phagocytic actions. TLR2/6 mediated signaling stimulated by LPG produces many pro-inflammatory cytokines like IL12, TNF and IL6 etc. In macrophages, it is found that TNF via autocrine signaling induce autophagy and help in parasite killing of Toxoplasma gondii via JNK phosphorylation in macrophages. The phosphorylated JNK induces Beclin by phosphorylating Bcl2, which inhibits Beclin action, thus releasing Beclin and promoting VpS34 which recruits PI3P for autophagosome formation. Recruitment of PI3P is controlled by ATG9 protein, autophagy related gene protein, which in normal condition is inhibited by mTOR via ULK/ ATG1. IL10 has been observed to inhibit autophagy via starvation induced AKT-PI3K pathway in macrophages and result in inducing mTOR. Thus, we can conclude that IL10 inhibits recruitment of PI3P via mTOR. Through systems aspect, here, we decipher that Atg9-PI3P acts as a negative feedback loop in autophagic machinery of leishmaniasis.

systems biology↗