Dietary lipid content modifies wah-1/AIFM1-associated phenotypes via LRK-1 and DRP-1 expression in C. elegans

Eukaryotic cells rely on mitochondria to fine-tune their metabolism in response to environmental and nutritional changes. However, how mitochondria adapt to nutrient availability and how diets impact mitochondrial disease progression, remain unclear. Here, we show that lipid-derived diets influence the survival of Caenorhabditis elegans carrying a hypomorphic wah-1/AIFM1 mutation that compromises mitochondrial Complex I assembly. Comparative proteomic and lipidomic analyses reveal that the overall metabolic profile of wah-1/AIFM1 mutants varies with bacterial diet. Specifically, high-lipid diets extend lifespan by promoting mitochondrial network maintenance and lipid accumulation, whereas low-lipid diets shorten animal survival via overactivation of LRK-1 and DRP-1. We demonstrate that LRK-1 inhibition downregulates DRP-1 expression, reduces mitochondrial network fragmentation, and attenuates excessive autophagy, thereby rescuing the survival defects of wah-1 mutants maintained on low-lipid diets. Together, these findings suggest that nutrition, and particularly lipid intake, may ameliorate certain disease phenotypes associated with an inherited mutation that disrupts mitochondrial bioenergetics.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-12-01
DOI
https://doi.org/10.1038/s41467-025-66900-8
Primary Topic
Genetics, Aging, and Longevity in Model Organisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dietary lipid content modifies wah-1/AIFM1-associated phenotypes via LRK-1 and DRP-1 expression in C. elegans

Sylwia Kierszniowska, Lena Wischhof, Mrityunjoy Mondal, Jan Riemer et al.
Nature Communications
Genetics, Aging, and Longevity in Model Organisms
article

Dietary lipid content modifies wah-1/AIFM1-associated phenotypes via LRK-1 and DRP-1 expression in C. elegans

Sylwia Kierszniowska, Lena Wischhof, Mrityunjoy Mondal, Jan Riemer, Viktoria V. Zeisler‐Diehl, Benjamin Jussila, Lukas Schreiber, Daniele Bano, Enzo Scifo, Christopher E. Hopkins, Dan Ehninger, Tannaz Norizadeh Abbariki, Pierluigi Nicotera, Joshua Jackson, Rossella Erminia Ciliberti, Ioanna-Maria Menegatou
article en

Abstract

Eukaryotic cells rely on mitochondria to fine-tune their metabolism in response to environmental and nutritional changes. However, how mitochondria adapt to nutrient availability and how diets impact mitochondrial disease progression, remain unclear. Here, we show that lipid-derived diets influence the survival of Caenorhabditis elegans carrying a hypomorphic wah-1/AIFM1 mutation that compromises mitochondrial Complex I assembly. Comparative proteomic and lipidomic analyses reveal that the overall metabolic profile of wah-1/AIFM1 mutants varies with bacterial diet. Specifically, high-lipid diets extend lifespan by promoting mitochondrial network maintenance and lipid accumulation, whereas low-lipid diets shorten animal survival via overactivation of LRK-1 and DRP-1. We demonstrate that LRK-1 inhibition downregulates DRP-1 expression, reduces mitochondrial network fragmentation, and attenuates excessive autophagy, thereby rescuing the survival defects of wah-1 mutants maintained on low-lipid diets. Together, these findings suggest that nutrition, and particularly lipid intake, may ameliorate certain disease phenotypes associated with an inherited mutation that disrupts mitochondrial bioenergetics.

Nature CommunicationsVol. 16(1)
University of Bonn (DE), German Center for Neurodegenerative Diseases (DE), Foundation Center (US), Urology Foundation (GB), Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE), Mahle (Austria) (AT)
European Commission, Deutsche Forschungsgemeinschaft, Deutsches Zentrum für Neurodegenerative Erkrankungen, HORIZON EUROPE Framework Programme, H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 66%
Genetics, Aging, and Longevity in Model Organisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.