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Dogra, S. K.

Publications and source records attributed to Dogra, S. K..

6 recordsLinked to original sources

The WD40 domain of autophagy protein ATG-16.2 is required for lysosomal regulation and longevity in germline-less C. elegans

Autophagy is a conserved cellular recycling pathway linked to longevity and regulated by autophagy-related (ATG) protein. Many of these proteins serve a key function in ATG8 lipidation onto autophagosomal membranes, a step that precedes subsequent lysosomal degradation. Recently, mammalian ATG16L1, a member of ATG8 lipidation machinery, have been shown to also direct ATG8 lipidation onto other membranes via its C-terminal WD40 domain in acutely stressed cells. However, whether such non-canonical functions of the ATG16L1 WD40 domain influence longevity remain largely unknown. Here, we endogenously deleted the WD40 domain of atg-16.2, the C. elegans ortholog of ATG16L1, and examined autophagy, healthspan and longevity. The ATG-16.2 WD40 domain was dispensable for healthspan measures and for ATG8 lipidation in whole animals and neurons but was required for autophagic flux across all major tissues examined. Notably, the ATG-16.2 WD40 domain was also critical in limiting lysosomal membrane damage after acute heat stress. Because long-lived C. elegans mutants are typically heat resistant, we asked whether this lysosomal function supported their thermotolerance and found the WD40 domain to be selectively required for thermotolerance induced by germline removal, but not by reduced insulin/IGF-1 signaling or dietary restriction. In germline-less animals, loss of the ATG-16.2 WD40 domain reduced nuclear TFEB/HLH-30, reduced neuronal autophagic degradation, altered neuronal lysosomal pH, and sensitized animals to heat-induced lysosomal damage. Collectively, these findings establish the ATG16 WD40 domain as a regulator of autophagic degradation and lysosomal integrity in vivo, and show that this role is associated with longevity in a pathway-selective manner.

genetics↗

The impact of dietary fibers on gut microbiome of young children: insights from ex vivo experiments and an observational cohort

During weaning period, the intake of dietary fibres changes and increases dramatically. Given the considerable structural differences, we hypothesized that different fibres may vary in their function. The objective of the study was to explore the impact of specific dietary fibres (arabinoxylan, cellulose, pectin and xyloglucan) on the gut microbiome of children below 3 years. By using ex vivo fecal fermentation experiments, cellular models and cohort data analysis, we assessed how these fibres and their combinations influence infants gut microbiota composition, diversity, metabolite production and possible actions on the gut epithelial barrier function. We found that the fermentation with arabinoxylan, xyloglucan and pectin resulted in an increased production of short-chain fatty acids. These fibres also promoted the generation of metabolites with potential health benefits, such as indole-3-lactic acid. By combining the ex vivo fermentation and cellular co-culture experiments, arabinoxylan and xyloglucan were found to be able to maintain gut epithelial barrier integrity upon lipopolysaccharide challenge, and a blend of cellulose, pectin, and xyloglucan dampened different LPS induced cytokines. Moreover, pectin was found supporting the growth of a wide range of microbial species ex vitro and correlated positively with -diversity in young children in an observational cohort. Our findings provided insights into the potential benefits of diverse fibre intakes during early life. Further studies are needed to understand the mechanisms and the effectiveness of specific fibres on the gut microbiome development in young children.

microbiology↗

Cellular thermal shift assay of subcellular isolates for evaluating drug-membrane target interactions

The cellular thermal shift assay (CETSA) is an invaluable tool for target identification and validation in early drug discovery efforts. It relies on thermal melting curves to indicate drug binding and is typically performed in whole cells, cell lysates, or purified protein as validation of direct interaction. However, these approaches can result in disruption of the structural integrity of membrane proteins, hindering downstream analysis and drug-target engagement. Here, we describe the first application of CETSA in isolated mitochondria and show the effects of this approach on the analysis of the compound UK5099 and its known binding target, the mitochondrial pyruvate carrier (MPC), a mitochondrial inner membrane-localized protein complex. Our analysis supports a model in which the MPC must remain structurally intact for UK5099 binding. We demonstrate that the binding of UK5099 to the MPC is disrupted in whole cells and cell lysates, whereas isolating mitochondria maintains the binding interaction between drug and target observable using CETSA. These data suggest that isolating membrane-bound organelles through subcellular CETSA stabilizes membrane-bound proteins in their native conformation, allowing the identification of membrane-localized drug binding targets that might otherwise be missed.

pharmacology and toxicology↗

Age-specific modulation of gut-brain axis metabolites by galacto-oligosaccharides and nutrient blends in early childhood

ObjectivesGut microbiome-derived metabolites, including short-chain fatty acids (SCFA) and tryptophan derivatives, are key mediators of the gut-brain axis. We examined how early-life nutritional interventions influence these metabolites during critical neurodevelopmental periods. MethodsUsing a standardized ex vivo fermentation system, we assessed the effects of galacto-oligosaccharides (GOS), nutrient blends (vitamins, minerals, amino acids), and their combinations on the gut microbiome of infants (2-4 months, n=6) and young children (2-3 years, n=6). ResultsBaseline microbiome composition differed by age: infants showed low -diversity and high interpersonal variability, while young children exhibited more adult-like profiles. Nutrient blends increased propionate/butyrate ratios and branched-chain fatty acids (BCFA) in young children, alongside B-vitamin and amino acid-derived metabolites, including neuroactive compounds (indole-3-carboxaldehyde, imidazoleacetic acid, pipecolinic acid). Combining nutrient blends with GOS produced synergistic effects on propionate (infants) and 2-hydroxyisocaproic acid (HICA, both groups). GOS-containing treatments strongly promoted Bifidobacteriaceae, driving production of acetate, HICA, N-acetylated amino acids, aromatic lactic acids, and acetylagmatine; in young children, also butyrate and {gamma}-aminobutyric acid (GABA). DiscussionGOS alone and combined with nutrient blends modulated microbiome-derived metabolites linked to the gut-brain axis. Synergistic effects on GABA, acetylagmatine, and HICA suggest roles in neurotransmission, neuroprotection, and immune-brain signaling. Despite shared bifidogenic effects, age-specific differences indicate developmental stage influences intervention outcomes. Further studies should explore neurodevelopmental benefits of these combinations and metabolites.

microbiology↗

Application of computational data modeling to a large-scale population cohort assists the discovery of specific nutrients that influence beneficial human gut bacteria Faecalibacterium prausnitzii

Faecalibacterium prausnitzii (F. prausnitzii) is a bacterial taxon of the human gut with anti-inflammatory properties and negative associations with chronic inflammatory conditions. F. prausnitzii may be one of key species contributing to the effects of healthy eating habits, and yet little is known about the nutrients that enhance the growth of F. prausnitzii other than simple sugars and fibers. Here we combined dietary and microbiome data from the American Gut Project (AGP) to identify nutrients that may be linked to the relative abundance of F. prausnitzii. Using a machine learning approach in combination with univariate analyses, we identified that sugar alcohols, carbocyclic sugar and vitamins may contribute to F. prausnitzii growth. We next explored the effects of these nutrients on the growth of two F. prausnitzii strains in vitro and observed strain dependent growth patterns on the nutrient tested. In the context of a complex community using in vitro fermentation, none of the tested nutrients and nutrient combinations exerted a significant growth-promoting effect on F. prausnitzii due to high variability in batch responses. A positive association between F. prausnitzii and butyrate concentrations was observed. Future nutritional studies aiming to increase relative abundance of F. prausnitzii should explore a personalized approach accounting for strain-level genetic variations and community-level microbiome composition.

microbiology↗

Microbiome Toolbox: Methodological approaches to derive and visualize microbiome trajectories

SummaryThe gut microbiome changes rapidly under the influence of different factors such as age, dietary changes or medications to name just a few. To analyze and understand such changes we present a microbiome analysis toolbox. We implemented several methods for analysis and exploration to provide interactive visualizations for easy comprehension and reporting of longitudinal microbiome data. Based on abundance of microbiome features such as taxa as well as functional capacity modules, and with the corresponding metadata per sample, the toolbox includes methods for 1) data analysis and exploration, 2) data preparation including dataset-specific preprocessing and transformation, 3) best feature selection for log-ratio denominators, 4) two-group analysis, 5) microbiome trajectory prediction with feature importance over time, 6) spline and linear regression statistical analysis for testing universality across different groups and differentiation of two trajectories, 7) longitudinal anomaly detection on the microbiome trajectory, and 8) simulated intervention to return anomaly back to a reference trajectory. Availability and implementationThe software tools are open source and implemented in Python. The link to the interactive dashboard is https://microbiome-toolbox.herokuapp.com/. For developers interested in additional functionality of the toolbox, the Python package can be downloaded from https://pypi.org/project/microbiome-toolbox/. The toolbox is modular allowing for further extension with custom methods and analysis. The code is available on Github https://github.com/JelenaBanjac/microbiome-toolbox. ContactShaillayKumar.Dogra@rd.nestle.com Supplementary InformationSupplementary data are available at Bioinformatics online.

bioinformatics↗