OXR1 maintains the retromer to delay brain aging under dietary restriction

Wilson, Kenneth A.; Bar, Sudipta; Dammer, Eric B.; Carrera, Enrique M.; Hodge, Brian A.; Hilsabeck, Tyler A. U.; Bons, Joanna; Brownridge, George W.; Beck, Jennifer N.; Rose, Jacob; Granath-Panelo, Melia; Nelson, Christopher S.; Qi, Grace; Gerencser, Akos A.; Lan, Jianfeng; Afenjar, Alexandra; Chawla, Geetanjali; Brem, Rachel B.; Campeau, Philippe M.; Bellen, Hugo J.; Schilling, Birgit; Seyfried, Nicholas T.; Ellerby, Lisa M.; Kapahi, Pankaj

doi:10.1038/s41467-023-44343-3

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Published: 11 January 2024

OXR1 maintains the retromer to delay brain aging under dietary restriction

Nature Communications volume 15, Article number: 467 (2024) Cite this article

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Abstract

Dietary restriction (DR) delays aging, but the mechanism remains unclear. We identified polymorphisms in mtd, the fly homolog of OXR1, which influenced lifespan and mtd expression in response to DR. Knockdown in adulthood inhibited DR-mediated lifespan extension in female flies. We found that mtd/OXR1 expression declines with age and it interacts with the retromer, which regulates trafficking of proteins and lipids. Loss of mtd/OXR1 destabilized the retromer, causing improper protein trafficking and endolysosomal defects. Overexpression of retromer genes or pharmacological restabilization with R55 rescued lifespan and neurodegeneration in mtd-deficient flies and endolysosomal defects in fibroblasts from patients with lethal loss-of-function of OXR1 variants. Multi-omic analyses in flies and humans showed that decreased Mtd/OXR1 is associated with aging and neurological diseases. mtd/OXR1 overexpression rescued age-related visual decline and tauopathy in a fly model. Hence, OXR1 plays a conserved role in preserving retromer function and is critical for neuronal health and longevity.

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Introduction

Aging is a leading contributor to cognitive decline, but dietary restriction (DR) delays aging across species and slows the progression of neurodegenerative diseases¹; however, the mechanisms that mediate the protective effects of DR in the brain are not fully understood². Additionally, factors such as natural genetic variation greatly influence response to DR, leading to the concept of precision nutrigeroscience to understand how differences between individuals and across tissues modulate responses to diet and influence healthspan and lifespan². We previously used the Drosophila Genetic Reference Panel (DGRP)³ to better understand the genetic effectors of DR-based lifespan response⁴, and in this current study, we focus on polymorphisms in the gene mustard (mtd), which associate with DR-dependent longevity. Genetic variants in the human homolog of mtd, Oxidation Resistance 1 (OXR1), are associated with cerebellar atrophy, hypotonia, language delay, and seizures⁵, and its overexpression improves survival in a mouse model of amyotrophic lateral sclerosis (ALS)⁶. Despite the protective properties of OXR1, its biochemical mechanism remains unknown. Here, we identify the dietary and genetic factors which regulate mtd/OXR1 and demonstrate its necessity for the maintenance of the retromer complex, which is a heteropentameric complex of proteins necessary for recycling transmembrane proteins and lipids from endosomes to the trans-Golgi network or the cell membrane^7,8. We further show that mtd/OXR1 regulates a network of genes that are essential for protection against brain aging and neurodegenerative diseases across flies and humans.

Results

Neuronal expression of mtd is required for lifespan extension upon DR

To identify regulators of the protective effects of DR, we measured lifespan under ad libitum (AL, 5% yeast) or DR (0.5% yeast) conditions in female flies from 160 DGRP strains⁴. We identified genetic variants in five genes which significantly associated with extreme longevity upon DR (Supplementary Data 2). Of these genes, only Ferredoxin (Fdxh) and mustard (mtd) have human orthologs (ferredoxin 2 and Oxidation Resistance 1, OXR1, respectively). We found that an allele in mtd consisting of a single-nucleotide polymorphism and an insertion of 101 base pairs associated with reduced lifespan under DR, but not AL, when compared to the wild-type allele (Fig. 1a, Supplementary Fig. 1a, Supplementary Data 2)³. In female flies, whole-body mtd^RNAi driven by Act5c-GS-Gal4 (Fig. 1b), but not Fdxh^RNAi (Supplementary Fig. 1b), resulted in DR-specific reduction in lifespan, suggesting the importance of mtd expression in DR-mediated longevity. In contrast, a strong null allele mtd-T2A-Gal4 strain (mtd^{MI02920-T2A-Gal4})⁵ caused lethality in development in approximately 99% of flies, and DR did not extend lifespan in the flies that survived to adulthood (Fig. 1c). OXR1 loss in humans is associated with severe neurological defects and premature death⁵, whereas overexpression provides protection in a mouse model of amyotrophic lateral sclerosis⁶, but its cellular mechanism of action is unknown. OXR1 is often studied for its role in oxidative stress response^9,10, but Wang et al. showed that its loss causes lysosomal dysfunction independent of oxidative stress⁵. Thus, identifying the mechanism of OXR1 will elucidate a valuable target for neurodegenerative diseases and aging.

**Fig. 1: *mtd* is upregulated allele-specifically by Traffic Jam (TJ) to extend lifespan under DR.**

DR induced a sevenfold increase in mtd mRNA expression in the head (Fig. 1d). Neuronal mtd^RNAi driven by the constitutively active elav-Gal4 induced developmental defects and severe lifespan reduction under both diets compared to TRiP (empty vector) control (Fig. 1e), similar to whole-body loss of mtd. These phenotypes were not observed with intestine- or glia-specific mtd^RNAi (Supplementary Fig. 1c, d). To evaluate the impact of neuronal mtd^RNAi with age, we used the conditional RU486-inducible elav-GS-Gal4 driver to induce a milder knockdown only in adulthood. This eliminated DR-mediated lifespan extension but did not alter lifespan on AL in females, whereas lifespan was reduced under both diets in males (Fig. 1f and Supplementary Fig. 1e, f). There was no change in fecundity between RNAi and control flies (Supplementary Fig. 1g). The TLDc domain in Mtd/OXR1 is responsible for neuroprotection^5,11, so we overexpressed truncated human OXR1 containing this domain (hOXR1^OE) in neurons of flies that harbored the mtd null allele and observed a complete rescue of lifespan and DR response (Fig. 1g). Neuronal hOXR1^OE in a wild-type background extended lifespan only under DR (Fig. 1h), but also extended lifespan under AL conditions with stronger, constitutively active expression throughout life (Fig. 1i). mtd expression was significantly increased across life in wild-type flies under DR, but this expression declined from day 7 to day 21 on both diets (Supplementary Fig. 1h). Overall, these results demonstrate that neuronal mtd expression is elevated by DR, declines with age, and is necessary for DR-mediated lifespan extension and sufficient to extend lifespan regardless of diet.

Traffic jam promotes mtd expression diet- and allele-specifically

In the DGRP, strains with the long-lived allele had elevated mtd expression in the head under DR, unlike strains that harbor the short-lived allele (Fig. 1j). Strains with the long-lived allele showed elevated expression of mtd transcripts that include exons 3′ of the variant only (Supplementary Fig. 1i). However, transcripts with exons from both sides of the variant (“long transcripts”) showed elevated expression on DR regardless of allele (Supplementary Fig. 1j). To validate the effects of these alleles, we cloned the allelic variant region into a LacZ reporter plasmid and transfected w¹¹¹⁸ wild-type flies (Fig. 1k). Upon rearing under DR, flies with the long-lived allele showed elevated LacZ expression versus flies reared under AL and versus flies transfected with the short-lived allele (Fig. 1l, m), suggesting that this genetic sequence influences nutrient-dependent changes in mtd expression. Using publicly available fly ChIP-seq data^12,13, we found a significant binding signal at this locus for CCCTC-binding factor (CTCF) and Traffic jam (TJ) (Supplementary Fig. 1k). Inducible neuronal ctcf^RNAi increased mtd expression (Supplementary Fig. 1l), whereas tj^RNAi reduced expression of all mtd transcripts under DR (Fig. 1n) and shortened lifespan specifically under DR (Fig. 1o). We validated that TJ, the fly homolog of MAF, binds this locus via ChIP-PCR (Supplementary Fig. 1m). In summary, we found that natural variants in mtd that show increased expression upon DR are regulated by TJ and are associated with lifespan extension upon DR, whereas CTCF represses mtd expression specifically under AL conditions, but that these effects only impact the shorter transcripts that are downstream of the variant site and TJ/CTCF binding site.

mtd regulates the retromer complex

To define the pathway affected by loss and gain of Mtd/OXR1, we analyzed gene ontology (GO) terms for the top 50 genes that show co-expression patterns similar to human OXR1 (Supplementary Data 4)¹⁴. These showed significant enrichment for protein trafficking from the endosome to the lysosome or recycling endosomes (Fig. 2a and Supplementary Data 5). Neuronal mtd^RNAi increased levels of Atg8a-II (fly ortholog of LC3), a marker for autophagosome formation (Supplementary Fig. 2a), consistent with the lysosomal accumulation phenotype observed in human fibroblasts and flies with OXR1 deficiency⁵. We co-stained human fibroblasts⁵ for OXR1 and markers for vesicular transport organelles (lysosome, endosome, Golgi, endoplasmic reticulum, and mitochondria). OXR1 staining overlapped most with the endosomal marker RAB7 (Supplementary Fig. 2b). As retromer dysfunction at the endosome causes lysosome dysfunction¹⁵ as well as increased autophagosome formation¹⁶ due to improper trafficking of endocytosed proteins and lipids, we hypothesized that OXR1 maintains retromer function. Neuronal mtd^RNAi and tj^RNAi significantly reduced the levels of retromer proteins (Fig. 2b and Supplementary Fig. 2c). This was not due to reduced retromer gene transcription under mtd^RNAi (Supplementary Fig. 2d). Co-staining fly brains with antibodies against Mtd and retromer protein Vps35 with neuronal mtd^RNAi also showed that Vps35 was reduced with mtd^RNAi (Fig. 2c). We also observed co-localization of Vps35 and Mtd in the brains of w¹¹¹⁸ control flies (Fig. 2d), particularly in the optic lobes where OXR1 and the retromer have previously been shown to be relevant in flies^5,17. We further determined that OXR1 interacts with VPS26A, VPS26B and VPS35 via co-immunoprecipitation in human fibroblasts (Fig. 2e). Retromer maintenance is necessary for neuronal health^18,19, and the loss of retromer proteins induces neurodegenerative disease progression^17,20. Our results indicate that Mtd is involved in the maintenance of retromer function.

**Fig. 2: *mtd* interacts with the retromer complex and is required for retromer maintenance.**

Retromer stabilization rescues Mtd/OXR1 deficiency

Next, we tested if enhancing retromer function rescues mtd^RNAi phenotypes. Neuronal overexpression (by elav-Gal4 driver) of vps26 or vps35 rescued fly larval lethality (Fig. 3a) and lifespan (Fig. 3b, c, Supplementary Fig. 3a). Overexpression of vps35 also recovered the loss of lifespan extension by DR in mtd^RNAi (Fig.3c). Moreover, pharmacological retromer stabilization with the compound R55²¹ also rescued developmental deformities (Fig. 3d) and the shortened lifespan of flies with mtd^RNAi (Fig. 3e). R55 further extended lifespan under DR beyond that of control strains on DR (Fig. 3e, f). However, simultaneous mtd^RNAi and overexpression of autophagy genes Atg8, Atg6, or LAMP1 did not rescue developmental defects (Supplementary Fig. 3b), suggesting that defects due to OXR1 deficiency are not due to a reduction in autophagic function.

**Fig. 3: Retromer stabilization rescues neuronal *mtd*/*OXR1* deficiency in flies and human fibroblasts.**

Retromer stabilization by R55 rescued VPS35 levels and VPS35 co-localization with OXR1 in human fibroblasts from patients with OXR1 mutations⁵ (Fig. 3g). The mutation in OXR1 also increased endosome size and number and impaired trafficking of mannose-6-phosphate receptor IGF2R from endosomes (EEA1 as marker) to the Golgi complex (GM130 as marker), all of which were rescued by treatment with 10 μM R55 (Fig. 3h). R55 also significantly reduced the number of lysosomes in the OXR1-deficient cells as well as localization of IGF2R with the lysosome (LAMP1 as marker) (Supplementary Fig. 3c, d). Lysosomal protease Cathepsin B was significantly increased in OXR1 disease fibroblasts and further increased with R55 (Supplementary Fig. 3e), despite the decreased lysosomal number in R55-treated cells. To further examine how lysosomal activity is impacted by OXR1-mediated retromer function, we compared LC3B-II levels in fibroblasts treated with the V-ATPase inhibitor bafilomycin, which blocks autophagy to demonstrate accumulated autophagosome pool size, to LC3B-II levels without bafilomycin, which represent steady-state pool size as LC3B-II is turned over during autolysosome formation²². OXR1-deficient fibroblasts had significantly reduced basal LC3B-II compared to control cells, whereas blocking LC3B turnover with bafilomycin showed significantly greater LC3B-II levels than control cells, indicating increased LC3B turnover in the OXR1-deficient cells. Treatment with 10 µM R55 increased the basal levels of LC3B-II in OXR1-deficient fibroblasts, rescuing the LC3B-II levels compared to the deficient cells not treated with R55 (Supplementary Fig. 3f, additional statistics in Supplementary Data 1). Neuronal RNAi for vps26 and vps29 in adulthood reduced lifespan (Supplementary Fig. 3g), with adulthood-specific vps26^RNAi reducing lifespan specifically under DR (Supplementary Fig. 3h). Together, these results suggest that OXR1 is necessary for retromer function, and retromer stabilization rescues altered autophagic activity in human cells with OXR1 mutations and lifespan defects caused by mtd -deficiency in flies.

Retromer stabilization rescues sensory decline and neurodegeneration induced by mtd ^RNAi

To determine how mtd/OXR1 deficiency influences brain aging, we analyzed the transcriptomes of heads from younger (day 7) and older (day 21) flies with and without neuronal elav-GS-Gal4-induced mtd^RNAi through principal component analysis (PCA). Transcriptomes from older mtd^RNAi DR flies grouped with older AL flies, suggesting that mtd^RNAi accelerated transcriptional signatures towards older flies (Supplementary Fig. 4a and Supplementary Data 6, 7). GO term analysis for mtd^RNAi showed significant downregulation of genes associated with rhabdomere development and stimulus detection (Supplementary Fig. 4b and Supplementary Data 8), which have been implicated in retromer dysfunction in flies^17,23. We observed delayed age-related visual decline upon DR, but this protective effect was abrogated by adulthood-specific neuronal mtd^RNAi (Fig. 4a). The ommatidia of the flies with constitutve RNAi were significantly more disordered than in TRiP empty vector controls (Fig. 4b). We assessed negative geotaxis but observed no change in activity between flies with or without neuronal mtd^RNAi, though activity was enhanced by DR (Fig. 4c), suggesting an uncoupling of activity and eye degeneration as well as lifespan. To determine if accelerated sensory decline was restricted to the visual system, we tested chemotaxis throughout lifespan. Neuronal mtd^RNAi under DR conditions induced more rapid decline in response to the attractant than DR controls, whereas flies under AL conditions were unaffected by RNAi (Supplementary Fig. 4c), suggesting impaired neuronal signaling for two phenotypes commonly disrupted with age, vision and olfaction^24,25. Pan-neuronal hOXR1^OE improved phototaxis throughout life under DR (Fig. 4d). Retromer stabilization by vps26^OE or vps35^OE rescued phototaxis response in mtd^RNAi flies (Fig. 4e), as did treatment with 6 μM R55 (Fig. 4f). We observed no significant changes in body mass, triglyceride levels, or starvation resistance upon inducible pan-neuronal induction of mtd^RNAi (Supplementary Fig. 4d-f). TUNEL staining in whole fly brains showed that flies reared on DR have reduced cellular apoptosis with age (21 days), but that inducible adult-specific mtd RNAi negates this benefit of DR. This elevated degeneration by mtd^RNAi was rescued by overexpression of vps26 or vps35 in both diets (Fig. 4g, Supplementary Fig. 4g). These results indicate that mtd and the retromer are necessary for delaying age-associated degeneration in the fly brain and sensory systems and attraction to stimuli, and that mtd does not affect triglyceride metabolism.

**Fig. 4: Retromer stabilization by R55 or OXR1 overexpression preserves vision and rescues tauopathy-related dysfunction.**

mtd/OXR1 expression protects against neurodegenerative diseases and Alzheimer’s disease phenotypes

To identify disorders associated with mtd/OXR1, we determined proteins significantly downregulated in flies with neuronal mtd^RNAi via data-independent acquisition mass spectrometry (q value < 0.05, Supplementary Data 9, 10)²⁶. This revealed significant enrichment for proteins involved in multiple human neurodegenerative diseases (Supplementary Data 11). We next analyzed -omics datasets from humans to learn more about the conserved nature of OXR1 in neurodegenerative diseases. We found an overlap of 83 genes between proteins with abundance levels that positively correlate with OXR1 (ρ > 0.30, Supplementary Data 12) from the Accelerating Medicines Partnership – Alzheimer’s Disease (AMP-AD) dataset²⁷ and genes affected by age from the Genotype-Tissue Expression (GTEx) project (Fig. 4h and Supplementary Data 13)^28,29. KEGG pathway analysis for the genes, which overlapped between these datasets revealed significant enrichment for age-related neurodegenerative diseases, including Alzheimer’s, Huntington’s, and Parkinson’s diseases, (Fig. 4i and Supplementary Data 14)³⁰. Retromer dysfunction has been associated with age-related neurodegenerative diseases that are protected by DR, including AD^{31,32,33,34,35}, especially in trafficking cargo involved in disease progression²¹ and maintaining synaptic function³⁶. We therefore also analyzed human OXR1 and retromer-associated protein abundance using the AMP-AD dataset³⁷. Lower levels of OXR1, VPS35, SNX5, and RAB7A were all significantly associated with AD diagnosis and poor memory and pathology scores (Fig. 4j and Supplementary Data 15). To determine if OXR1 or retromer overexpression could rescue phenotypes associated with AD and tau pathogenesis, we neuronally overexpressed hOXR1 or vps35 in flies with simultaneous GMR-driven pathogenic human Tau in the eyes. Flies with hTau^OE alone showed rapid eye degeneration with no changes in overall tau levels, but neuronal hOXR1^OE or vps35^OE rescued this degeneration phenotype (Fig. 4k and Supplementary Fig. 4h–j). These results demonstrate that the proteins in OXR1’s network play a critical and conserved role in humans and flies for brain aging and neurodegeneration.

Discussion

The widespread health and longevity benefits of DR are well-established, but the mechanisms by which DR mediates brain-specific functions are poorly understood. We previously showed in flies that DR elicits protective effects on lifespan and healthspan at least partially through distinct mechanisms⁴. While nutrient signaling pathways, such as TOR and ILS, are potential anti-aging pathways with roles in enhancing metabolism and burning fat³⁸, the variability in response to DR across different individuals and in different tissues suggests there are still many molecular mechanisms that remain unelucidated². While screening for DR-responsive mechanisms, we found a role for mtd/OXR1 in regulating neuronal health with age and in response to DR. Here, we showed that mtd/OXR1 is an essential gene for healthy brain aging. We found that alleles of mtd that are upregulated by DR are regulated by the transcription factor TJ, and that this expression is necessary for DR-mediated lifespan extension. Specifically, our form of DR primarily restricts overall protein intake. Under AL conditions, CTCF is upregulated, inhibiting the expression of mtd in flies. Thus, protein restriction allows for increased mtd expression. As elevated nutrient-related components have been linked to dysregulation of the retromer^39,40, our work provides a genetic and molecular mechanism for this regulation. Mtd/OXR1 interacts with and maintains the retromer complex, and retromer stabilization rescues neurodegenerative and longevity defects induced by mtd/OXR1 deficiency. Our results show that OXR1 expression is necessary for DR-mediated lifespan extension, and that neuronal overexpression of OXR1 is sufficient for extending lifespan. While there is a large body of work demonstrating the benefits of DR, relatively few studies have detailed cellular mechanisms of DR on the brain. Our work presents a mechanism by which DR slows brain aging through the necessary action of OXR1 in maintaining the retromer.

Retromer function is necessary for neuron survival^18,41,42. Thus, elucidating novel retromer pathway components is valuable for promoting brain health, especially with aging. Retromer dysfunction has been associated with age-related neurodegenerative diseases that are protected by DR, specifically Alzheimer’s^31,43,44 and Parkinson’s diseases ^17,45,46,47, especially in trafficking cargo involved in disease progression, such as APP²¹ and β-secretase⁴⁸. Mtd/OXR1 provides a linchpin for this interactive relationship between retromer regulation and DR-mediated neuroprotection with age. Our findings with OXR1’s interaction with and regulation of retromer function resemble those of PLA2G6, which interacts directly with VPS26 and VPS35¹⁷. PLA2G6 maintains the retromer to improve ceramide trafficking¹⁷. It remains to be explored by which mechanisms the components of the retromer are lost when OXR1 is absent. Our work also shows that the effects of OXR1 on the retromer complex influence the lysosomal phenotypes in cells from patients with OXR1 deficiencies, and this phenotype was rescued in patient cells supplemented with R55. These findings suggest that OXR1 is a necessary component to gain the benefits of autophagy, especially under DR conditions, and that these benefits are mediated by OXR1’s regulation of retromer function. An intriguing area of future research would be to determine if retromer proteins, such as VPS26 and VPS35, are degraded at an increased rate as a result of elevated autophagic function in instances of OXR1 loss.

We further demonstrate that the OXR1 gene network, conserved in flies and humans, is an important target for brain aging and neurodegenerative diseases. Loss of mtd accelerated aging, neurodegeneration, and visual decline in flies, but this was rescued by retromer stabilization. Additionally, overexpression of OXR1 rescued age-related visual decline, neurodegeneration, and transgenically-induced tauopathy in a fly model. It remains to be observed which specific proteins or lipids are being mistrafficked, which result in neurodegeneration and reduction of lifespan with loss of OXR1. It is also not yet known if variants in genes that regulate OXR1 might be associated with AD, as it seems that overall age-related decline in OXR1 is more likely the cause for its associations with neurodegeneration. Our proteomics data support this idea, as OXR1 declines significantly with age in AD patients. Our proteomics results in flies and humans also show enrichment for necessary components of synapses, and thus, future work could focus on understanding how changes in recycling influence neuronal function at the synapse. Additionally, OXR1 has been implicated through GWAS in regulating ceramide levels⁴⁹. Ceramide buildup has previously been demonstrated as a cause of lifespan reduction under retromer dysfunction¹⁷, which could be an interesting area for future analysis. In all, our work implicates OXR1 and its network as a key regulators and potential therapeutic targets to slow aging and age-related neurodegenerative diseases across flies and humans.

Methods

Genome-wide association analysis

We used DGRP release 2 genotypes and FlyBase R5 coordinates for gene models. We used only homozygous positions and a minor allele frequency of ≥25% to ensure that the minor allele was represented by many observations at a given polymorphic locus⁵⁰. We grouped the DGRP lines reared on a diet into a top 25 in-case group and a non-case group (>41 days median lifespan in DR conditions). The genotype distributions at each locus in these groups were compared via Fisher’s exact test using the SciPy.stats module in Python⁵¹. The genotypes were arranged in the contingency table configuration [[#CaseRefAllele/#CaseAltAllele], [#NonCaseRefAllele/#NonCaseAltAllele]]. Nominal p-values denoted as “P value” in Supplementary Data 2 report the probability that the relative proportions of one variable are independent of the second variable. To avoid the potential for false positives at a given nominal cutoff owing to p-value inflation, we calculated false discovery rates via permutation as follows: for a given permutation i, we randomized phenotype values across DGRP lines, and assigned in- vs non-case designations on this permuted data set before we carried out Fisher’s exact tests for each marker in turn as above. We counted the number of markers n ⁱ that scored above a given p-value threshold t. We tabulated the false discovery rate at t as the ratio between the average n ⁱ across 10 permutations and the number of markers called at t in the real data.

Gene expression analyses

To determine gene expression in a normal system, we sampled 50 heads from mated females of w¹¹¹⁸ control strain after 1 week on an AL or DR diet. We isolated RNA using Zymo Quick RNA MiniPrepkit (R1054) (Zymo Research, Irvine, CA). For qRT-PCR, we used Superscript III Platinum SYBR Green One-Step qRT-PCR kit from Invitrogen, Carlsbad, CA (11736-051) and followed the manufacturer’s instructions with a Roche Lightcycler 480 II machine. Primers used are listed at the end of the Methods. To validate the effects of RNAi or mutation on gene expression, we collected 5 whole flies, 10 thoraces, 5 abdomens, or 50 heads after 1 week on AL or DR, depending on the body part being analyzed. We then isolated RNA from these samples and performed qRT-PCR on the perturbed genes as described above. RNA sequencing was performed by UC Berkeley QB3 Functional Genomics Laboratory, and reads were analyzed with the use of Bowtie2 read alignment package^52,53. Two biological replicates per condition were used for RNA-seq analysis. Normalized reads counts are available in Supplementary Data Table S6.

Fly strains used in this study

All flies were obtained from Bloomington Stock Center⁵⁴, Vienna Drosophila Resource Center⁵⁵, or FlyORF⁵⁶ and outcrossed six times to our lab control strains. Each line was mated and developed on a standard laboratory diet (1.5% yeast). At 2–3 days post-eclosion, unless otherwise noted, mated female progeny were transferred to AL (5.0% yeast extract) or DR (0.5% yeast extract) diet via CO₂⁵⁷. Living flies were transferred to fresh vials every other day, and dead flies were recorded until all flies were deceased. Flies were maintained in a 12-h light/dark cycle in a room maintained at 25^oC and 65% relative humidity⁵⁸. A detailed list of fly strains used can be found at the end of the Methods section.

Generation of LacZ transgenes

The 0.41 kb mtd gene region fragment was generated by genomic PCR cloning of BglII-Xho I fragment into the BglII-XhoI site of pLacZattB. The genomic DNA was isolated from the short-lived strain BL25189, and PCR was performed with pLacZ primers (listed below). The 0.41 kb genomic PCR was generated using the same primers with genomic DNA isolated from the long-lived BL28211 strain as template. Transgenic insertion was performed by Rainbow Transgenic Flies (Camarillo, CA). The transgenes were verified by sequencing with pLacZ primers (listed below). The primers used for cloning and sequencing are listed below.

Fly phenotyping

We used the whole-body GeneSwitch driver Act5C-GS-Gal4, neuron-specific inducible driver elav-GS-Gal4, constitutively active elav-Gal4 driver, glia specific repo-Gal4, or eye-specific rdgA-Gal4 for directed RNAi. 15 virgin driver females were mated with three transgene line males in four bottles containing a standard diet. At 2–3 days after progeny eclosion, mated females were sorted onto AL or DR media with 200 µM RU486 (final concentration) for inducible RNAi activation^58,59 or ethanol as vehicle control, and flies were maintained on these media for life. Body mass was measured in five replicates of three flies using a Radwag 82/220.X2 analytical balance. Flies were then frozen, and triglycerides were measured using Stanbio Triglycerides LiquiColor Test. Glucose was measured using Stanbio Liqui-UV Hexokinase kit. For both assays, absorbance was measured using SpectroMax M2 spectrophotometer. Starvation was performed by rearing adult flies for 10 days on an AL diet and then transferring to medium containing water and 1% agarose⁵⁸. Flies were checked for deaths every 4 h until all flies were deceased. Pupariation rate was determined by mating flies and placing 60 resulting embryos on an AL diet. Number of pupae formed was recorded daily. For western blot analysis, fly heads were homogenized in TPER lysis buffer and protein concentrations were determined by BCA. Western blots were quantified using ImageQuant. List of antibodies is provided at the end of Methods section. Negative geotaxis was performed by placing flies in empty vial and counting proportion of flies that climbed 6 cm within 10 sec. Three replicates were performed per vial. Phototaxis was performed by placing flies in on end of a 30-cm horizontal tube and shining light at one end. The proportion of flies that had travelled to the last 10 cm at the other end was recorded⁴. Chemotaxis was performed by placing flies in a tube with one end containing a cotton plug saturated with 1 mL of 1-hexanol attractant, the other end with water. The proportion of flies in the segment with 1-hexanol after 30 sec was recorded⁶⁰. Starvation, lifespan, phototaxis, chemotaxis, and geotaxis assays were performed with approximately 200 starting adult flies, except for constitutively active mtd^RNAi and mtd mutant flies, since few flies reach development in these strains. Rough eye phenotype was analyzed using Flynotyper plug-in in Image J⁶¹. Images were taken with Olympus BX51 with 10X objective using fiber optics gooseneck microscope illuminator. 10-12 optical slices were taken and reconstitute using Zerenestacker (Zerene Systems, Richland, WA).

Cell lines used in this study

Patient cell lines were generated from skin biopsies and maintained in DMEM supplemented with 15% fetal bovine serum and 1% antibiotic cocktail⁵. Cells were maintained at 37^oC. Cells undergoing serum withdrawal were treated with medium without fetal bovine serum. The OXR1 deletion line is from a female patient. Cell lines and media are described at the end of the Methods.

Fibroblast lysates

Treatments with 10 μM R55 (Sigma-Aldrich #531084) were conducted for 48 h. Bafilomycin (100 nM, Cayman Chemical #11038) or DMSO control (Sigma Aldrich #276855) treatment was for 4 h prior to lysate collection. Lysates were collected with MPER lysis buffer and sonicated. Protein concentrations were determined by BCA. Western blots were quantified using ImageQuantTL.

Co-immunoprecipitation

Fibroblasts were transduced with lentivirus overexpressing OXR1-GFP (Origene RC231430L4) or GFP alone (Origene PS100093V) for 2 days at 2 MOI. Lysates were collected, homogenized, and sonicated in MPER lysis buffer with protease inhibitors. Protein G beads (GE Healthcare/Sigma 17061801) were washed in lysis buffer and samples were pre-cleared with beads for 4 h at 4^oC to remove non-specific interactions. Sample-bead slurry was spun down, sample was added to fresh tubes, and 5 μL anti-GFP primary antibody (sc-9996) was added to sample to incubate on inverting rocker overnight at 4^oC. Pre-washed beads were added to the sample-antibody solution and incubated for 4 h at 4 ^oC on inverting rocker. The sample was spun down, and unbound protein was collected as flowthrough sample (FT). Beads were washed 3 times with lysis buffer to ensure removal of unbound protein. The remaining sample and beads were incubated for 10 min at 95 ^oC with Invitrogen sample buffer and 1 M DTT for western blotting.

LysoTracker

Fibroblasts were plated in 8-well chamber slides and maintained for 48 h before supplementation with R55 or DMSO control for another 48 h. LysoTracker Deep Red (Thermo Fisher Cat#L12492) was diluted 1:2000 in medium for lysosome staining and Hoechst 33342 solution (Thermo Fisher Cat#62249) was diluted 1:1000 in medium for nuclear staining. Cells were incubated with stains for 30 min at 37^oC and then washed with medium and immediate imaged and analyzed using BioTek Cytation 5 Imaging Reader. Mean intensity of red fluorescence per nucleus was quantified.

Immunocytochemistry

After the treatments described above, cells were fixed in 4% paraformaldehyde in PBS. After three washes with PBS, cells were permeabilized using 0.1% Triton X-100 solution and blocked for 1 at room temperature with 1% bovine serum albumin and 5% donkey serum in PBS. Primary antibodies were diluted in blocking buffer, and cells were incubated overnight at 4^oC. After three washes with PBS, secondary antibodies (1:1000) were added and incubated for 1.5 h at room temperature. Slides were mounted with ProLong Gold antifade reagent with DAPI (Invitrogen Cat#P36931). Cells were imaged and analyzed using BioTek Cytation 5 Imaging Reader. List of antibodies used is provided at the end of the Methods section.

Immunohistochemistry

Adult Drosophila brains were dissected in PBS and immediately fixed in 4% PFA for 30 min. Post-fixation washes were done in PBS, and permeabilization was done in PT (PBS with 0.3% Triton X-100), three times for 30 min each. Blocking of tissues was done in permeabilization solution with 0.5% BSA. The brains tissue was labeled with primary antibodies (1:100) overnight in 4^oC, followed by three washes with PT solution. Secondary antibody incubation was for 2 h at room temperature. Tissues were then washed three times with PT and mounted with Fluoromount G mounting medium. All incubation steps were done with continuous mild shaking. Images were taken in Zeiss LSM 780 confocal microscope. List of antibodies used is provided at the end of the Methods section.

TUNEL staining

Adult Drosophila brains were dissected in PBS and immediately fixed in 4% PFA for 30 min. TUNEL staining was performed as per the manufacturer’s instruction with few changes (Roche #11684795910). Post-fixation washes were performed in PBS and permeabilization was performed in 0.1 % sodium citrate with 0.3% Triton X-100. Brains were incubated overnight with TUNEL solution and washed three times for 30 min each. Images were taken with Zeiss LSM 780 confocal microscope. Quantification was performed by counting TUNEL-positive cells per area.

Proteomic analysis

Heads from adult flies with or without pan-neuronal mtd^RNAi were collected and flash frozen in liquid nitrogen in 5 replicates of at least 20 heads on the day of eclosion per replicate pool. Frozen heads from each condition/replicate were immersed in 100 μL of lysis buffer containing 4% SDS, 8 M urea, 200 mM triethylammonium bicarbonate (TEAB) at pH 8, 75 mM sodium chloride, 1 μM trichostatin A, 3 mM nicotinamide, and 1x protease/phosphatase inhibitor cocktail (Thermo Fisher Scientific, Waltham, MA). Lysates were subsequently homogenized for 2 cycles with a Bead Beater TissueLyser II (Qiagen, Germantown, MD) at 24 Hz for 3 min each, and further sonicated. Lysates were clarified by spinning at 15,700 x g for 15 min at 4 °C, and the supernatants containing the soluble proteins were collected. Protein concentrations were determined using a Bicinchoninic Acid Protein (BCA) Assay (Thermo Fisher Scientific, Waltham, MA), and subsequently 100 μg of protein from each sample were aliquoted. Samples were then solubilized using 4% SDS, 50 mM TEAB at a pH 8. Proteins were reduced using 20 mM DTT in 50 mM TEAB for 10 min at 50 °C followed by 10 min at RT, and proteins were subsequently alkylated using 40 mM iodoacetamide in 50 mM TEAB for 30 min at room temperature in the dark. Samples were acidified with 12% phosphoric acid to obtain a final concentration of 1.2% phosphoric acid, and diluted with seven volumes of S-Trap buffer (90% methanol in 100 mM TEAB, pH ~7). Samples were then loaded onto the S-Trap mini spin columns (Protifi, Farmingdale, NY), and spun at 4000x g for 10 s. The S-Trap columns were washed with S-Trap buffer twice at 4000x g for 10 s each. A solution of sequencing grade trypsin (Promega, San Luis Obispo, CA) in 50 mM TEAB at a 1:25 (w/w) enzyme:protein ratio was then added, and after a 1-hour incubation at 47 °C, trypsin solution was added again at the same ratio, and proteins were digested overnight at 37 °C. Peptides were sequentially eluted with 50 mM TEAB (spinning for 1 min at 1000x g), 0.5% formic acid (FA) in water (spinning for 1 min at 1000x g), and 50% acetonitrile (ACN) in 0.5% FA (spinning for 1 min at 4000x g). After vacuum drying, samples were resuspended in 0.2% FA in water and desalted with Oasis 10-mg Sorbent Cartridges (Waters, Milford, MA). All samples were vacuum dried and resuspended in 0.2% FA in water at a final concentration of 1 μg/μL. Finally, indexed retention time standard peptides, iRT (Biognosys, Schlieren, Switzerland)⁶² were spiked into the samples according to manufacturer’s instructions. The solvent system consisted of 2% ACN, 0.1% FA in water (solvent A) and 98% ACN, 0.1% FA in water (solvent B). Briefly, proteolytic peptides (2 μg) were loaded onto an Acclaim PepMap 100 C18 trap column with a size of 0.1 ×20 mm and 5 µm particle size (Thermo Fisher Scientific) for 5 min at 5 µL/min with 100% solvent A. Peptides were eluted on to an Acclaim PepMap 100 C18 analytical column sized as follows: 75 µm x 50 cm, 3 µm particle size (Thermo Fisher Scientific) at 0.3 µL/min using the following gradient of solvent B: 2% for 5 min, linear from 2% to 20% in 125 min, linear from 20% to 32% in 40 min, and up to 80% in 1 min, with a total gradient length of 210 min. Samples were analyzed by nanoLC-MS/MS in DIA mode^63,64 using a variable window isolation scheme²⁶ on the Orbitrap Eclipse Tribrid platform (Thermo Fisher Scientific, San Jose, CA). Samples were acquired in data-independent acquisition (DIA) mode. Full MS spectra were collected at 120,000 resolution (AGC target: 3e6 ions, maximum injection time: 60 ms, 350-1,650 m/z), and MS2 spectra at 30,000 resolution (AGC target: 3e6 ions, maximum injection time: Auto, NCE: 27, fixed first mass 200 m/z). The DIA precursor ion isolation scheme consisted of 26 variable windows covering the 350-1,650 m/z mass range with an overlap of 1 m/z²⁶. DIA data were processed in Spectronaut v15 (version 15.1.210713.50606; Biognosys) using directDIA. Data were searched against the Drosophila melanogaster proteome with 42,789 protein entries (UniProtKB-TrEMBL), accessed on 12/07/2021. Trypsin/P was set as digestion enzyme and two missed cleavages were allowed. Cysteine carbamidomethylation was set as fixed modification, and methionine oxidation and protein N-terminus acetylation as variable modifications. Data extraction parameters were set as dynamic. Identification was performed using 1% precursor and protein q-value (experiment). Quantification was based on MS2 area, and local normalization was applied; iRT profiling was selected. Differential protein expression analysis was performed using a paired t-test, and p-values were corrected for multiple testing, specifically applying group wise testing corrections using the Storey method⁶⁵. Protein groups with at least two unique peptides, q value < 0.05, and absolute Log2(fold-change) > 0.58 were considered to be significantly changed comparing mtd^RNAi to TRiP empty vector control strain, and are listed in Supplementary Data Table S10.

Gene ontology analyses

GO term analysis of Drosophila genes was performed using the set of all genes downregulated on day 14 from our RNA sequencing dataset. Analysis was performed using Gene Ontology enRIchment anaLysis and visuaLizAtion tool (GOrilla) and Process, Function, and Component analyses were all represented. For genes co-expressed with human OXR1, the top 50 genes from ARCHS⁴ tool¹⁴ were analyzed using ENRICHR GO Cellular Component 2021 Ontology list³⁰.

Statistics and reproducibility

Significance of differences between survival curves was assessed by log rank test. p < 0.05 was considered statistically significant. Error bars represent SD across at least three biological replicates. Significant differences between experimental groups and controls are indicated by *. *p < 0.05, **p < 0.005, ***p < 0.0005, determined by unpaired t test. nc = no change, ns = not significant. Significance for the Venn Diagram in Fig. 4h was calculated by Fisher’s Exact Test. Statistical analyses were calculated with GraphPad Prism 4. Additional statistical details, including starting n for each experiment, can be found in Supplementary Data 1. Quantification of cell images was performed using BioTek imaging software. Statistics for genome-wide analyses were performed as previously stated. For Fig. 2c, d, each condition was tested with 20 fly brains with similar results. For Fig. 2e, experiment was repeated 3 times with similar results.

Drosophila melanogaster strains used
Strain	Source	ID number
Drosophila Genetic Reference Panel strains	Bloomington Drosophila Stock Center	All DGRP strains
Act5C-GS-Gal4 Driver (inducible, whole body) P{w[+mC]=Act5C(FRT.y[+])GAL4.Switch.PR}X, y[1] w[*]	Bloomington Drosophila Stock Center	#9431
Elav-GS-Gal4 Driver (inducible, neuronal) w1118; P{w[+mC]=elav-Switch.O}GSG301	Bloomington Drosophila Stock Center	#43642
Elav-Gal4 Driver (non-inducible, neuronal) P{w[+mW.hs]=GawB}elav[C155]	Bloomington Drosophila Stock Center	#458
5966-GS-Gal4 (inducible, intestinal) +; 5966-GS	Provided by lab of Dr. David Walker, University of California, Los Angeles	N/A
repo-Gal4 (non-inducible, glial) w[1118]; P{w[+m*]=GAL4}repo/TM3, Sb[1]	Bloomington Drosophila Stock Center	#7415
GMR-driven mutant Tau (non-inducible, eye), Elav-Gal4 (non-inducible, neuronal) P{w[+mW.hs]=GawB}elav[C155]; P{w[+mC]=GMR-htau/Ex}1.1	Bloomington Drosophila Stock Center	#51360
w¹¹¹⁸ control strain	Bloomington Drosophila Stock Center	#5905
Transgenic RNAi Project (TRiP) empty vector control strain y[1] sc[*] v[1]; P{y[+t7.7] v[+t1.8] = VALIUM20-mCherry}attP2	Bloomington Drosophila Stock Center	#35785
mtd RNAi y[1] sc[*] v[1]; P{TRiP.HMS01666}attP2/TM3, Sb[1]	Bloomington Drosophila Stock Center	#38519
mtd mutant y[1] w[*]; Mi{y[+mDint2]=MIC}mtd[MI02920]/TM3, Sb[1] Ser[1]	Bloomington Drosophila Stock Center	#76158
hOXR1 overexpression w1118; P{UAS-OXR1.HA}1	Bloomington Drosophila Stock Center	#64104
hOXR1 overexpression w1118; P{UAS-OXR1.HA}4/TM3, Sb1	Bloomington Drosophila Stock Center	#64105
Fdxh RNAi w1118; P{GD1274}v24497	Vienna Drosophila Resource Center	#24497
CG15515 RNAi w1118; P{GD8577}v39872	Vienna Drosophila Resource Center	#39872
tj RNAi y[1] sc[*] v[1]; P{TRiP.HMS01069}attP2	Bloomington Drosophila Stock Center	#34595
TJ-GFP w[1118]; P33657Bac{y[+mDint2] w[+mC]=tj-GFP.FPTB}VK00033	Bloomington Drosophila Stock Center	#66391
ctcf RNAi y[1] sc[*] v[1]; P{TRiP.GL00266}attP2	Bloomington Drosophila Stock Center	#35354
ctcf RNAi y[1] v[1]; P{TRiP.HMS02017}attP40	Bloomington Drosophila Stock Center	#40850
vps26 RNAi y[1] v[1]; P{TRiP.HMS01769}attP40	Bloomington Drosophila Stock Center	#38937
vps29 RNAi y[1] v[1]; P{TRiP.HMJ21316}attP40	Bloomington Drosophila Stock Center	#53951
vps35 RNAi y[1] sc[*] v[1] sev2[1]; P{TRiP.HMS01858}attP40	Bloomington Drosophila Stock Center	#38944
Atg8 overexpression y[1] w[1118]; P{w[+mC]=UASp-GFP-mCherry-Atg8a}2	Bloomington Drosophila Stock Center	#37749
hLAMP1 overexpression y[1] w[*]; PBac{y[+mDint2] w[+mC]=UAS-hLAMP1.HA}VK00033	Bloomington Drosophila Stock Center	#86301
Atg1 overexpression y[1] w[*]; P{w[+mC]=UAS-Atg1.S}6 A	Bloomington Drosophila Stock Center	#51654
mitoGFP overexpression w[1118]; P{w[+mC]=UAS-mito-HA-GFP.AP}2/CyO	Bloomington Drosophila Stock Center	#8442

Cell lines and lentiviral vectors used
Line	Source	ID
F0062.1 Male human skin fibroblasts
Healthy	Provided by laboratory of Dr. Philippe Campeau, CHU Sainte Justine Research Center, Montreal, QC, Canada	N/A
F0342.1 Male human skin fibroblasts
OXR1 mutation
c.1324delA
p.Ser44Valfs*2	Provided by laboratory of Dr. Philippe Campeau, CHU Sainte Justine Research Center, Montreal, QC, Canada	N/A
OXR1 (NM_001198533) Human Tagged ORF Clone
pLenti-C-mGFP-P2A-Puro vector	Origene	RC231430L4
Lentiviral ORF control particles
pLenti-C-mGFP-P2A-Puro	Origene	PS100093V

Cell and fly media and additives used
Dulbecco’s modification of Eagle’s medium, Corning	VWR	Cat#45000-304
Fetal bovine serum	Life Technologies	Cat#10082147
Penicillin-streptomycin	Life Technologies	Cat#15140122
Nutri-Fly Drosophila Agar, Gelidium	Genesee Scientific	Cat#66-104
Yellow Cornmeal	Genesee Scientific	Cat#62-100
Pure Cane Granulated
Sugar	C&H	N/A
Bacto yeast extract	VWR	Cat#90000-722
Saf instant yeast	Rainy Day Foods

Primers used
mtd Forward	Integrated DNA Technologies	GAAGAAGACTCCAAGGAGCT
mtd Reverse	Integrated DNA Technologies	CCCTATTTCTGCATCTAAGCG
Bgl2 mtd promoter Fr Forward	Integrated DNA Technologies	GGAAGATCTGTGTACATATTGAATCAAATCAGC
Xho1 mtd promoter Fr Reverse	Integrated DNA Technologies	TACGCTCGAGTTCTAGCCCTGTATCATACGG
pLacZ attB Forward	Integrated DNA Technologies	GAAGTTATGCTAGCGGATCC
pLacZ attB Reverse	Integrated DNA Technologies	GCGCCTCTATTTATACTCCGG
tj Forward	Integrated DNA Technologies	GATTCTGGTGAACACATCTTCGG
tj Reverse	Integrated DNA Technologies	TGGTGTGCGTAAGTCTGAGC
ctcf Forward	Integrated DNA Technologies	GAGCGCCAACTCCAAGATCA
ctcf Reverse	Integrated DNA Technologies	CCCATCGCCATACTCCTCAT
mtd gene region Forward (for TJ ChIP)	Integrated DNA Technologies	GACCTCGAAAGAGTCGCCAT
mtd gene region Forward (for TJ ChIP)	Integrated DNA Technologies	GATTCAGGGAATTGTGCGCC
mtd-RM Forward	Integrated DNA Technologies	TGGAAGACCTCGAAAGAGT
mtd-RM Reverse	Integrated DNA Technologies	CGAGTTCTCGGTTATCTACC
mtd long transcripts Forward	Integrated DNA Technologies	TCGACTTGGACTCGCTCCG
mtd long transcripts Reverse	Integrated DNA Technologies	TGGGTATGGTGGGCAATGAAG
mtd-RF, RAA transcripts Forward	Integrated DNA Technologies	GAGAGCCGGATAATCCACGA
mtd-RF, RAA transcripts Reverse	Integrated DNA Technologies	TCTCCATTGCGCCAGAAGAC
mtd-RA, RB, RI transcripts Forward	Integrated DNA Technologies	AAAAACTTACGGCCACGCTG
mtd-RA, RB, RI transcripts Reverse	Integrated DNA Technologies	TATTTCCCAGCGTCTCGTCG
mtd-RQ, RH transcripts Forward	Integrated DNA Technologies	GCTGAATATGTTCGCCGCC
mtd-RQ, RH transcripts Reverse	Integrated DNA Technologies	AAGCACTTGCAGAACATATAGAAAT
mtd-RC transcript Forward	Integrated DNA Technologies	GAAGAGCGGAAGGCGTAGAG
mtd-RC transcript Reverse	Integrated DNA Technologies	AAACGGCCAAGATGCCAAAC
hOXR1 Forward	Integrated DNA Technologies	GGTTTGCTGTGCCACAAG
hOXR1 Reverse	Integrated DNA Technologies	GGTTCTCTGGTATATTCGCCAG
RpL32 Forward	Integrated DNA Technologies	TAAGCTGTCGCACAAATGG
RpL32 Reverse	Integrated DNA Technologies	GGCATCAGATACTGTCCCT
Act5C Forward	Integrated DNA Technologies	AAGTACCCCATTGAGCACGG
Act5C Reverse	Integrated DNA Technologies	ACATACATGGCGGGTGTGTT
vps26 Forward	Integrated DNA Technologies	GGTATCCGGCAAGGTGAACG
vps26 Reverse	Integrated DNA Technologies	TTACCCCGGTCGTAGTACAGT
vps29 Forward	Integrated DNA Technologies	CGAGAACCTGACGTATCCGG
vps29 Reverse	Integrated DNA Technologies	AGGCCTCGAACTTGTACGTG
vps35 Forward	Integrated DNA Technologies	GCCATTGGACTAGCGAGGAAG
vps35 Reverse	Integrated DNA Technologies	AGCTCGTACAAATCCGTTTTCT
tau Forward	Integrated DNA Technologies	CCATCATAAACCAGGAGGTGGCC
tau Reverse	Integrated DNA Technologies	CTGTCTTGGCTTTGGCGTTCTC

Antibodies and Stains
Rabbit polyclonal anti-OXR1	Invitrogen	Cat#PA5-72405	WB concentration: 1:500	Validated by RNAi
Rabbit polyclonal anti-OXR1	abcam	Cat#ab103042	ICC concentration: 1:100	Validated against human OXR1 mutation
Goat polyclonal anti-VPS35	abcam	Cat#ab10099	WB concentration: 1:500 ICC concentration: 1:100	Validated by KO (abcam)
Rabbit polyclonal anti-VPS26A	Proteintech	Cat#12804-1-AP	WB concentration: 1:500	Previously validated⁶⁶
Rabbit polyclonal anti-VPS26B	Proteintech	Cat#15915-1-AP	WB concentration: 1:500	Validated by molecular weight
Rabbit polyclonal anti-VPS29	Abcam	Cat#ab236796	WB concentration: 1:500	Validated by KO (abcam)
Mouse monoclonal anti-β-Galactosidase (LacZ)	Promega	Cat#Z3781	WB concentration: 1:500 IHC concentration: 1:100	Validated by molecular weight
Rabbit polyclonal anti-LC3B	Novus Biologicals	Cat#NB100-2220	WB concentration: 1:150	Validated by KO (Novus Biologicals)
Rabbit polyclonal anti-Atg8	Sigma-Aldrich	Cat#ABC974	WB concentration: 1:500	Validated by molecular weight
Mouse monoclonal anti-Cathepsin B [CA10]	abcam	Cat#ab58802	WB concentration: 1:500	Validated by molecular weight
Rabbit polyclonal anti-GAPDH	abcam	Cat#ab9485	WB concentration: 1:500	Validated by molecular weight
Rabbit polyclonal anti-β-actin	Cell Signaling	Cat#4967	WB concentration: 1:500	Validated by company (Cell Signaling)
Mouse monocolonal anti-α-Tubulin [DM1A]	Sigma-Aldrich	Cat#T6199	WB concentration: 1:500	Validated by company (Sigma-Aldrich)
Mouse monoclonal anti-Rab7 [EPR7589]	abcam	Cat#ab50533	WB concentration: 1:500 ICC concentration: 1:100	Validated by company (abcam)
Mouse monoclonal anti-elav	DSHB	Cat#Elav-9F8A9	IHC concentration: 1:100	Validated by neuronal specificity
Mouse monoclonal anti-EEA1 [G-4]	Santa Cruz Biotechnology	Cat#sc-137130	ICC concentration: 1:100	Validated by company (Santa Cruz Biotechnology)
Mouse monoclonal anti-ATP5A [15H4C4]	abcam	Cat#ab14748	ICC concentration: 1:100	Validated by company (abcam)
Mouse monoclonal anti-LAMP1 [H4A3]	abcam	Cat#ab25630	ICC concentration: 1:100	Validated by company (abcam)
Mouse monoclonal anti-Calreticulin [FMC 75]	abcam	Cat#ab22683	ICC concentration: 1:100	Validated by company (abcam)
Mouse polyclonal anti-GM130	abcam	Cat#ab169276	ICC concentration: 1:100	Validated by company (abcam)
Mouse monoclonal anti-GFP [B-2]	Santa Cruz Biotech	Cat#sc-9996	WB concentration: 1:500	Validated by molecular weight
Mouse monoclonal anti-Tau [HT7]	Invitrogen	Cat#MN1000	WB concentration: 1:1000	Validated by molecular weight
Sheep anti-Mouse IgG HRP-linked secondary	Sigma Aldrich	Cat#NXA931V	WB concentration: 1:3000
Donkey anti-Rabbit IgG HRP-linked secondary	Sigma Aldrich	Cat#NA934V	WB concentration: 1:3000
Mouse anti-Goat IgG HRP-conjugated secondary	Santa Cruz Biotech	Cat#sc-2354	WB concentration: 1:3000
Alexa Fluor 488 donkey anti-rabbit IgG (H + L) secondary	Invitrogen	Cat#A21206	ICC concentration: 1:500
Alexa Fluor 647 donkey anti-goat IgG (H + L) secondary	Invitrogen	Cat#A21447	ICC concentration: 1:500
Alexa Fluor 647 donkey anti-mouse IgG (H + L) secondary	Invitrogen	Cat#A21238	ICC concentration: 1:500
LysoTracker^TM Deep Red	Thermo Fisher	Cat#L12492	Live cell imaging: 1:2000
Hoescht 33342 Solution	Thermo Fisher	Cat#62249	Live cell imaging: 1:1000

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Data availability

The fly proteomics data generated in this study have been deposited in the MassIVE database under accession code MSV000088897 and ProteomeXchange ID: PXD031837 (Username: MSV000088897_reviewer; Password: winter) [https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=d8f8a278868d42398c9ba8c772395c7b]. The processed fly proteomics and RNA sequencing data are provided in the Supplementary Information/Source Data file. Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request. Source data are provided with this paper.

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Acknowledgements

We would like to thank the members of the Kapahi and Ellerby labs as well as Dr. Malene Hansen, Dr. Gary Howard, and Ms. Kaitlyn Vitangcol for their comments throughout the manuscript and experiments. KAW was supported by NIH grant T32AG000266 and Buck CatalystX support from Bob and Alex Griswold. SB is supported by Larry L. Hillblom Foundation fellowship 2019-A-026-FEL. TAUH was supported by NIH grant 5F31AG062112. GC is supported by the DBT/Wellcome Trust India Alliance Fellowship/Grant IA/I(S)/17/1/503085. HJB is supported by NIH grants R01AG07326 and U01AG072439. Support of instrumentation for the Orbitrap Eclipse Tribrid from the NCRR shared instrumentation grant 1S10 OD028654, awarded to BS. LME is supported by NIH grant R01AG061879. PK is supported by NIH grant R01AG061165 and the Larry L. Hillblom Foundation. LME and PK are supported by NIH grant R56AG070705-01. We thank the UC Berkeley qb3 Functional Genomics Laboratory for the RNA sequencing referenced in Supplementary Fig. 1h, Supplementary Fig. 2d, Supplementary Fig. 4a, and Supplementary Fig. 4b. Figures 1k, 2a, Supplementary Fig. 1i, and Supplementary Fig. 4b were generated with the use of BioRender.com. BioRender licenses are listed in figure legends.

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Authors and Affiliations

Buck Institute for Research on Aging, Novato, CA, 94945, USA
Kenneth A. Wilson, Sudipta Bar, Enrique M. Carrera, Brian A. Hodge, Tyler A. U. Hilsabeck, Joanna Bons, George W. Brownridge III, Jennifer N. Beck, Jacob Rose, Melia Granath-Panelo, Christopher S. Nelson, Grace Qi, Akos A. Gerencser, Jianfeng Lan, Rachel B. Brem, Birgit Schilling, Lisa M. Ellerby & Pankaj Kapahi
Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
Kenneth A. Wilson, Tyler A. U. Hilsabeck, Rachel B. Brem, Lisa M. Ellerby & Pankaj Kapahi
Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, 30322, USA
Eric B. Dammer & Nicholas T. Seyfried
Guanxi Key Laboratory of Molecular Medicine in Liver Injury and Repair, The Afilliated Hospital of Guilin Medican University, Guilin, 541001, Guanxi, China
Jianfeng Lan
Assistance Publique des Hôpitaux de Paris, Unité de Génétique Clinique, Hôpital Armand Trousseau, Groupe Hospitalier Universitaire, Paris, 75012, France
Alexandra Afenjar
Département de Génétique et Embryologie Médicale, CRMR des Malformations et Maladies Congénitales du Cervelet, GRC ConCer-LD, Sorbonne Universités, Hôpital Trousseau, Paris, 75012, France
Alexandra Afenjar
RNA Biology Laboratory, Department of Life Sciences, School of Natural Sciences, Shiv Nadar Institute of Eminence, NH91, Tehsil Dadri, G. B. Nagar, 201314, Uttar Pradesh, India
Geetanjali Chawla
Department of Plant and Microbial Biology, University of California, Berkeley, 111 Koshland Hall, Berkeley, CA, 94720, USA
Rachel B. Brem
Centre Hospitalier Universitaire Saint-Justine Research Center, CHU Sainte-Justine, Montreal, QC, H3T 1J4, Canada
Philippe M. Campeau
Departments of Molecular and Human Genetics and Neuroscience, Neurological Research Institute, Texas Children’s Hospital, Baylor College of Medicine, Houston, TX, 77030, USA
Hugo J. Bellen

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Kenneth A. Wilson
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Sudipta Bar
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Eric B. Dammer
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Brian A. Hodge
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Joanna Bons
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George W. Brownridge III
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Jacob Rose
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Melia Granath-Panelo
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Grace Qi
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Akos A. Gerencser
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Alexandra Afenjar
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Birgit Schilling
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Lisa M. Ellerby
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Pankaj Kapahi
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Contributions

Conceptualization: K.A.W., L.M.E., P.K. Methodology: K.A.W., S.B., E.B.D., G.C., R.B.B., H.J.B., B.S., N.T.S., L.M.E., P.K. Investigation: K.A.W., S.B., E.B.D., B.A.H., E.M.C., T.A.U.H., J.B., G.W.B., J.N.B., J.R., M.G.P., G.Q., J.L., C.S.N., A.A., G.C. Visualization: K.A.W., S.B., A.A.G., G.C. Funding acquisition: K.A.W., T.A.U.H., H.J.B., B.S., L.M.E., P.K. Project administration: P.M.C., L.M.E., P.K. Supervision: L.M.E., P.K. Writing – original draft: K.A.W., L.M.E., P.K. Writing – review & editing: K.A.W., S.B., E.B.D., B.A.H., E.M.C., T.A.U.H., J.B., G.W.B., J.N.B., J.R., M.G.P., C.S.N., G.Q., A.A., G.C., R.B.B., P.M.C., H.J.B., B.S., N.T.S., L.M.E., P.K.

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Correspondence to Lisa M. Ellerby or Pankaj Kapahi.

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PK is founder and a member of the scientific advisory board at Juvify Bio. The other authors have no conflicts of interest.

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Wilson, K.A., Bar, S., Dammer, E.B. et al. OXR1 maintains the retromer to delay brain aging under dietary restriction. Nat Commun 15, 467 (2024). https://doi.org/10.1038/s41467-023-44343-3

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Received: 02 August 2023
Accepted: 07 December 2023
Published: 11 January 2024
DOI: https://doi.org/10.1038/s41467-023-44343-3

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