bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.05.21.655400

Beta-Hydroxybutyrate but not NMN supplementation mimics caloric restriction reducing early mortality in Daphnia

Abstract

NAD+ homeostasis is an important determinant of lifespan and may be a key mechanism of caloric restriction (CR) expansion of lifespan. Ketone bodies such as beta-hydroxybutyrate (BHB) that regulate NAD+ abundance and NAD+ precursors such nicotinamide mononucleotide (NMN), as are known to extend life in experimental animals and ameliorate age-related conditions in humans. We tested the hypothesis that chronic BHB and NMN exposure separately or in combination can extend lifespan in a model organism Daphnia, a freshwater zooplankton crustacean with the magnitude similar to that of the CR treatment. We also measured fecundity, lipofuscin accumulation, and lipid investments into offspring in Daphnia fed the full diet, full diet with BHB, NMN, and combined treatments, and fed the CR diet (25% of the full diet). We also conducted an RNAseq experiment comparing the two diets and the two exposure treatments. We show that BHB exposure, but not NMN exposure reduces early life mortality in Daphnia fed the full diet to levels similar to those observed under CR without compromising fecundity. We also observed that in a combined exposure cohort, NMN nearly eliminates the beneficial effect of BHB. None of the treatments affected lipofuscin accumulation, but the NMN and the combined treatment mimicked the effect of CR on neonate size in older females. We show that BHB-treated Daphnia change expression of a variety of genes, including genes with known longevity extending effects, but differential expression of few genes is consistent with the effects of CR and their functionality is not clear.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Pearson, A. C., Yampolsky, L. Y.. 2025-05-25. Beta-Hydroxybutyrate but not NMN supplementation mimics caloric restriction reducing early mortality in Daphnia. https://doi.org/10.1101/2025.05.21.655400

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Deep reinforcement learning-driven discovery of a MsbA-targeted small-molecule antibiotic for the treatment of Acinetobacter baumannii infection

Antibiotics with new mechanisms are highly pursued to address the threat of infections caused by drug-resistant Gram-negative bacteria. Targeting MsbA, a key protein of the lipopolysaccharide biosynthesis pathway, represents a promising strategy to discover new classes of antibiotics. However, currently available MsbA-targeted molecules either lack sufficient potency or have unfavorable properties, necessitating expansion of chemical space. In this study, we chose the most promising cerastecin Cpd 4 as the template, and used two Artificial Intelligence (AI)-based tools, i.e. Link-INVENT and AutoMolDesigner for molecular design, performed chemical derivatization and antibacterial activity evaluation, which led to the discovery of Y-11 (MIC for A. baumannii: 0.5 g/mL). Encouragingly, Y-11 showed equivalent potency to Cpd4 for carbapenem-resistant A. baumannii, and less cytotoxicity and hemolysis as well as lower spontaneous resistance frequency. In vivo efficacy study demonstrated that Y-11 could effectively reduce bacterial loads in the mice infected by A. baumannii. The following mechanism study including molecular dynamics simulation, biochemical assay, and transmission electron microscope (TEM) analysis suggested that Y-11 inhibited the transport of lipooligosaccharide and impaired the formation of outer membrane, probably by competitively binding to the substrate binding site of MsbA and modulating ATPase activity. Taken together, we have discovered a MsbA-targeted small molecule Y-11 via AI-driven drug design, which provides a foundation for future antibiotic development.

biochemistry↗

Dynamic architecture of the Rixosome reveals mechanism of activation and ITS2 processing

Eukaryotic ribosome assembly requires the coordinated processing and extensive remodeling of pre-rRNAs. During late nuclear maturation of the 60S subunit, sequential removal of the internal transcribed spacer 2 (ITS2) is initiated by endonucleolytic cleavage at site C2 by the conserved Las1 nuclease. Las1 acts together with the kinase Grc3 and the Rix1 complex to form the Rixosome, which also functions in transcriptional regulation. However, the assembly of the Rixosome, its recruitment to pre-ribosomes, and its activation for ITS2 cleavage remain unclear. Here, we present cryo-EM structures of the human LAS1 complex, two structures of the isolated Rixosome and nine transition states of Rix1-bound pre-60S particles from Schizosaccharomyces pombe. These structures reveal a dynamic Rixosome architecture in which the heterotetrameric Las1 complex engages one or two copies of the Rix1 complex. Rix1 binding is highly flexible in the human Rixosome but rigid in the yeast complex. The isolated yeast Rixosome remains inactive, but binding to the pre-60S particle triggers a structural rearrangement that allows for substrate engagement and activation of the nuclease. Together, our results define the dynamic architecture of the Rixosome and provide a structural framework for ITS2 processing during nuclear maturation of the eukaryotic 60S ribosomal subunit.

biochemistry↗

SGFP-Grid Split GFP Graphene Grids

Affinity graphene grids provide a promising approach for selective protein capture in cryo-EM. Here, we introduce a split-GFP graphene grid platform(SGFP-G), in which graphene-conjugated GFP 1-10 selectively captures GFP11 tagged proteins from low concentration samples or cell lysates. This platform enables rapid assessment of target protein enrichment and particle distribution before vitrification via fluorescence imaging, while the grid design positions captured proteins away from the graphene surface and air-water interface. We also introduce a unique strategy to minimize nonspecific protein adsorption, thereby improving the selective enrichment of target proteins on this grid. Using GFP11-tagged apoferritin, we demonstrate fluorescence guided protein capture and obtain a 2.58 [A] cryoEM reconstruction, establishing SGFP-G as an affinity grid platform for high resolution structural studies with reduced sample requirements.

biochemistry↗