Author

Shaillay Kumar Dogra

Nestlé (Switzerland)ORCID 0000-0002-2987-4313Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Assay:metabolomics· 1

Frequent Co-Authors

Norbert SprengeriD· 2 shared Alexandros K. KanellopoulosiD· 1 shared Aurélien BaudotiD· 1 shared Dantong Wang· 1 shared Jelena BanjaciD· 1 shared Jonas PoppeiD· 1 shared Lam Dai VuiD· 1 shared Laurence Biehl· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersMicrobiology

Norbert SprengerORCID

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3 papers

Recent·Most cited

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

Shaillay Kumar Dogra, Norbert Sprenger, Dantong Wang

The paper examines how specific dietary fibers affect the gut microbiome of young children using ex vivo experiments and observational cohort data, finding increased short-chain fatty acid production and beneficial metabolite generation.

bioRxiv · Feb 11, 2026 · PreprintMicrobiology

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

Laurent Ferrier, Shaillay Kumar Dogra, Lam Dai Vu, Alexandros K. Kanellopoulos, Jonas Poppe, Laurence Biehl, Aurélien Baudot, Pieter Van den Abbeele

This study examines how early-life nutritional interventions affect gut-brain axis metabolites in infants and young children, finding age-specific effects of galacto-oligosaccharides and nutrient blends.

bioRxiv · Jan 29, 2026 · PreprintMicrobiology

Microbiome Toolbox: Methodological approaches to derive and visualize microbiome trajectories

Jelena Banjac, Norbert Sprenger, Shaillay Kumar Dogra

The paper introduces a microbiome analysis toolbox with methods for analyzing and visualizing longitudinal microbiome data, including trajectory prediction and anomaly detection.

Bioinformatics · Dec 2, 2022Peer-reviewedBioinformatics