Biology subjects

Mouchiroud, L.

Publications and source records attributed to Mouchiroud, L..

6 recordsLinked to original sources

bioRxiv2026

MOSAIC: a longitudinal phenotypic clock to dissect organismal aging trajectories in C. elegans

Interventions that extend lifespan do not necessarily preserve healthspan, the portion of life spent in good health. This disconnect has intensified interest in biological aging clocks as quantitative proxies of organismal health. However, most existing clocks rely on invasive or endpoint measurements, providing static estimates that capture biological age at a single time point and offer limited insight into aging trajectories - the dynamic patterns through which physiological resilience and functional capacity change within individuals over time. Here we combine standardized, high-frequency imaging of individual Caenorhabditis elegans across the lifespan with machine learning to develop MOSAIC (Modular Organismal Signature of Aging In C. elegans), a non-invasive phenotypic clock that estimates biological age longitudinally at single-organism resolution. Leveraging [~]3750 animals, [~]230000 observations and 29 phenotypic features, MOSAIC predicts biological age with high accuracy and resolves organism-wide aging trajectories at high temporal resolution. Beyond age prediction, MOSAIC decomposes biological age into contributions from distinct physiological modules, enabling mechanistic interpretation of organismal decline. Applying MOSAIC to natural lifespan variation, dietary restriction, longevity mutants and pharmacological interventions reveals that lifespan extension can emerge through distinct, time-dependent phenotypic trajectories rather than a uniform slowing of aging. Interventions with similar effects on longevity produce divergent biological-age trajectories and distinct combinations of younger and older traits, highlighting context-dependent physiological trade-offs. MOSAIC provides a scalable, non-invasive framework to repeatedly quantify biological age across the lifespan and to compare interventions based on how they reshape aging trajectories.

bioinformatics↗

bioRxiv2025

Genetic mapping of lifespan and mitochondrial stress response in C. elegans

The mitochondrial unfolded protein response (UPRmt) is one of the mito-nuclear regulatory circuits that restores mitochondrial function upon stress conditions, promoting metabolic health and longevity. However, the complex gene interactions that govern this pathway and its role in aging and healthspan remain to be fully elucidated. Here, we activated the UPRmt using doxycycline (Dox) in a genetically diverse C. elegans population comprising 85 strains and observed large variation in Dox-induced lifespan extension across these strains. Through multi-omic data integration, we identified an aging-related molecular signature that was partially reversed by Dox. To identify the mechanisms underlying Dox-induced lifespan extension, we applied quantitative trait locus (QTL) mapping analyses and found one UPRmt modulator, fipp-1/FIP1L1, which was functionally validated in C. elegans and humans. In the human UK Biobank, FIP1L1 was associated with metabolic homeostasis, underscoring its translational relevance. Overall, our findings demonstrate a novel UPRmt modulator across species and provide insights into potential translational research.

genetics↗

bioRxiv2025

Unveiling mode of action of anthelmintics in Caenorhabditis elegans with SydLab™, an on-a-chip automated and high-content screening system.

Anthelmintic resistance in parasitic nematodes presents a growing challenge to animal and human health, driving the need for innovative tools to accelerate drug discovery and mechanistic research. Here, we introduce SydLab, a microfluidic-based, automated phenotypic screening platform that combines continuous imaging, machine vision, and computational analysis for high-content assessment of Caenorhabditis elegans responses to anthelmintics. We systematically evaluated eight anthelmintic compounds spanning major chemical classes-- albendazole, ivermectin, milbemycin oxime, emodepside, levamisole, tribendimidine, monepantel, and closantel--across multiple doses. Using wild-type (N2 Bristol) and mitochondrial stress-sensitive (hsp-6::gfp) strains, SydLab captured real-time, dose-dependent phenotypic profiles over 120 hours, measuring developmental growth, reproduction, motility, and morphology. Emodepside, monepantel, and macrocyclic lactones induced severe larval arrest, reduced worm volume, and distinct morphological changes consistent with neuromuscular paralysis. In contrast, albendazole and closantel showed limited effects at tested concentrations. Machine learning-based shape classification revealed drug-specific morphological signatures, including coiling and cuticular damage, offering insights into compound modes of action. Validation with larval development and migration assays confirmed SydLabs high sensitivity and reproducibility in detecting subtle phenotypic and strain-specific responses. Our study demonstrates how integrating microfluidics, automated imaging, and computational phenotyping enables precise dissection of complex drug-induced effects in nematodes. SydLab provides a scalable, high-throughput platform for anthelmintic screening and mechanistic studies, offering new avenues for antiparasitic drug discovery and resistance research. Author summaryResistance to anthelmintic drugs is a global concern threatening the control of parasitic nematodes that impact human and animal health. New tools are needed to better understand drug effects and accelerate the discovery of effective treatments. In this study, we present SydLab, an automated microfluidic platform that combines real-time imaging and computational analysis to assess the impact of anthelmintic drugs on the model nematode Caenorhabditis elegans. By monitoring development, reproduction, motility, and morphology, we identified unique drug-induced phenotypes linked to specific modes of action. Compounds like emodepside, ivermectin, and monepantel caused larval arrest and neuromuscular paralysis, while albendazole and closantel showed limited activity. Machine learning algorithms detected drug-specific morphological patterns, offering deeper mechanistic insights. Our work highlights SydLab as a powerful high-throughput phenotyping system that can reveal subtle biological responses and support the discovery of next-generation anthelmintics. This approach strengthens our ability to investigate drug resistance and improve therapeutic strategies against parasitic nematodes.

developmental biology↗

bioRxiv2024

High-content phenotypic analysis of a C. elegans recombinant inbred population identifies genetic and molecular regulators of lifespan

Lifespan is influenced by complex interactions between genetic and environmental factors. Studying those factors in model organisms of a single genetic background limits their translational value for humans. Here, we mapped lifespan determinants in 85 genetically diverse C. elegans recombinant intercross advanced inbred lines (RIAILs). We assessed molecular profiles - transcriptome, proteome, and lipidome - and life-history traits, including lifespan, development, growth dynamics, and reproduction. RIAILs exhibited large variations in lifespan, which positively correlated with developmental time. Among the top candidates obtained from multi-omics data integration and QTL mapping, we validated known and novel longevity modulators, including rict-1, gfm-1 and mltn-1. We translated their relevance to humans using UK Biobank data and showed that variants in RICTOR and GFM1 are associated with an elevated risk of age-related heart disease, dementia, diabetes, kidney, and liver diseases. We organized our dataset as a resource (https://lisp-lms.shinyapps.io/RIAILs/) that allows interactive explorations for new longevity targets.

systems biology↗

bioRxiv2019

TBK1 regulates autophagic clearance of soluble mutant huntingtin and inhibits aggregation/toxicity in different models of Huntington's disease

Phosphorylation of the N-terminal domain of the Huntingtin (HTT) protein (at T3, S13, and S16) has emerged as a key regulator of HTT stability, clearance, localization, aggregation and toxicity. Herein, we report the discovery and validation of a kinase, TANK-binding kinase 1 (TBK1), that specifically and efficiently phosphorylates both wild-type and mutant full-length or N-terminal fragments of HTT in vitro (S13/S16) and in cell/ neuronal cultures (S13). We show that overexpression of TBK1 in mammalian cells, primary neurons and a Caenorhabditis elegans model of Huntingtons Disease (HD) increases mutant HTTex1 phosphorylation, lowers its levels, increases its nuclear localization and significantly reduces its aggregation and cytotoxicity. Our mechanistic studies demonstrate that the TBK1-mediated neuroprotective effects are due to phosphorylation-dependent inhibition of mutant HTTex1 aggregation and an increase in autophagic flux. These findings suggest that upregulation and/or activation of TBK1 represents a viable strategy for the treatment of HD. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=148 SRC="FIGDIR/small/869586v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@1368abeorg.highwire.dtl.DTLVardef@1cecff4org.highwire.dtl.DTLVardef@b6b7c5org.highwire.dtl.DTLVardef@1daf53d_HPS_FORMAT_FIGEXP M_FIG Graphical abstract C_FIG

neuroscience↗

bioRxiv2017

A homozygous missense mutation in ERAL1, encoding a mitochondrial rRNA chaperone, causes Perrault syndrome

Perrault syndrome (PS) is a rare recessive disorder characterized by ovarian dysgenesis and sensorineural deafness. It is clinically and genetically heterogeneous, and previously mutations have been described in different genes, mostly related to mitochondrial proteostasis. We diagnosed three unrelated females with PS and set out to identify the underlying genetic cause using exome sequencing. We excluded mutations in the known PS genes, but identified a single homozygous mutation in the ERAL1 gene (c.707A>T; p.Asn236Ile). Since ERAL1 protein binds to the mitochondrial 12S rRNA and is involved in the assembly of the small mitochondrial ribosomal subunit, the identified variant represented a likely candidate. In silico analysis of a 3D model for ERAL1 suggested that the mutated residue hinders protein-substrate interactions, potentially affecting its function. On a molecular basis, PS skin fibroblasts had reduced ERAL1 protein levels. Complexome profiling of the cells showed an overall decrease in the levels of assembled small ribosomal subunit, indicating that the ERAL1 variant affects mitochondrial ribosome assembly. Moreover, levels of the 12S rRNA were reduced in the patients, and were fully rescued by lentiviral expression of wild type ERAL1. At the physiological level, mitochondrial respiration was markedly decreased in PS fibroblasts, confirming disturbed mitochondrial function. Finally, knockdown of the C. elegans ERAL1 homologue E02H1.2 almost completely blocked egg production in worms, mimicking the compromised fertility in PS-affected women. Our cross-species data in patient cells and worms support the hypothesis that mutations in ERAL1 can cause PS and are associated with changes in mitochondrial metabolism.

genetics↗