Abstract
Alzheimer’s disease (AD) is a common and devastating disease characterized by the aggregation of amyloid-β peptide (Aβ), yet we know relatively little about the underlying molecular mechanisms or how to treat AD patients. Here, we provide bioinformatic and experimental evidence of a conserved mitochondrial stress response signature present in Aβ proteotoxic diseases in human, mouse and C. elegans, and which involves the UPRmt and mitophagy pathways. Using the worm model of Aβ proteotoxicity, GMC101, we recapitulated mitochondrial features and confirmed the induction of this mitochondrial stress response as key to maintain mitochondrial proteostasis and health. Importantly, boosting mitochondrial proteostasis by pharmacologically and genetically targeting mitochondrial translation and mitophagy increases fitness and lifespan of GMC101 worms and reduces amyloid aggregation in cells, worms, and in AD transgenic mice. Our data support the relevance of enhancing mitochondrial proteostasis to delay Aβ proteotoxic diseases, such as AD.
Aging is often accompanied by the onset of proteotoxic degenerative diseases, characterized by the accumulation of unfolded and aggregated proteins. Amyloid diseases are proteotoxic disorders, which can affect the nervous system, like in the case of Alzheimer’s (AD), the most common form of dementia1, but also other organs, as exemplified by amyloidosis-associated kidney disease2 and inclusion body myositis (IBM)3. To date, no efficient therapy is available for AD4, a disease with a strong component of amyloid-β (Aβ) aggregation1. Clinical trials for AD focused primarily on counteracting Aβ aggregation in the brain, considered the key pathogenic mechanism5. However, AD is a complex multifactorial disease6 and mitochondrial dysfunction emerged as a common pathological hallmark7. Mitochondrial abnormalities in AD include decreased mitochondrial respiration and activity and alterations in mitochondrial morphology7; however, the relevance of other aspects of mitochondrial homeostasis, such as mitochondrial proteostasis, to the pathogenesis of AD is still largely unknown.
Mitochondrial function pathways are perturbed in AD
We investigated brain expression datasets from AD patients (GN327, GN328 and GN314) archived in GeneNetwork (www.genenetwork.org) to define the mitochondrial signature associated with the disease. Gene Set Enrichment Analysis (GSEA) of datasets from healthy versus AD individuals in prefrontal, primary visual cortex and whole brain showed that downregulation of mitochondrial oxidative phosphorylation (Oxphos) and perturbation of mitochondrial import pathways were hallmarks of AD (Fig. 1a, Extended Data Fig. 1a,b,c,e,f and Supplementary Table 1–4). As these processes are linked with, and affect mitochondrial proteostasis8, we used comprehensive gene sets for two major mitochondrial quality control pathways, the mitochondrial unfolded protein response (UPRmt) and mitophagy, to evaluate whether their expression is co-regulated in AD patients (Supplementary Table 5). Whereas we observed a tight correlation between genes typifying UPRmt and mitophagy in all brain datasets investigated (Fig. 1b and Extended Data Fig. 1d,g), other stress pathways, such as the ER stress (UPRer) and heat shock response (HSR) were co-regulated to a lower degree (Fig. 1b and Extended Data Fig. 1d,g).
Evidence for a mitochondrial stress signature in AD
We then measured UPRmt, mitophagy and Oxphos transcripts in human cortex. Previously, we reported that several UPRmt genes were up-regulated during frank familial or sporadic AD9. Here, we extended that analysis and observed that, compared to subjects with no cognitive impairment (NCI), several UPRmt and mitophagy transcripts were also up-regulated in patients with mild cognitive impairment (MCI), a putative prodromal AD stage10, and in mild/moderate AD (Fig. 1c and Supplementary Table 6), whereas Oxphos genes were down-regulated, consistent with our GSEA. The induction of this mitochondrial stress response was also observed at the protein level in MCI and AD subjects (Fig. 1d). The occurrence of this perturbation already in MCI suggests that mitochondrial dysfunction contributes to neuron and synapse loss, and that mitochondrial stress pathways may be activated as a protective response during disease progression10. We also analyzed cortex samples of wild-type (WT) and 3xTgAD mice11 (Extended Data Fig. 2a) at 6 and 9 months of age. Both mitochondrial quality control and Oxphos genes were induced in AD mice (Fig. 1e and Extended Data Fig. 2b), although to a different extent over time. In fact, pairing WT and AD animals at these two times indicated a marked attenuation of this stress signature during disease progression (Extended Data Fig. 2d–f). Immunoblotting of total lysates from the cortex of WT and 3xTgAD mice showed the induction of PINK1, LONP1 and LC3 at both time points (Fig. 1f and Extended Data Fig. 2c). Additional analysis of the 9-month old animals also indicated a reduction in VDAC, a marked increase in P62 phosphorylation (Fig. 1g), and reduced citrate synthase (CS) activity (Extended Data Fig. 2g) in AD mice, indicative of autophagy and mitophagy. PINK1 and LC3-I were also increased in mitochondrial extracts from cortex samples of the AD mice (Fig. 1g), confirming that these proteins are recruited to the mitochondria to promote mitophagy, as supported by the augmented ubiquitylation of mitochondrial proteins (Fig. 1g). For simplicity, we abbreviate the comprehensive mitochondrial stress footprint analyzed herein as Mitochondrial Stress Response (MSR).
Identification of a cross-species MSR signature
The functional impact of changes in mitochondrial homeostasis during disease and aging in mammals can be rather faithfully translated in the nematode Caenorhabditis elegans12. Worm models of Aβ aggregation have been extensively used to study the basic consequences of proteotoxic stress on conserved biological pathways between worms and mammals13,14. We took advantage of the GMC101 worm model of Aβ proteotoxicity. GMC101 worms constantly express the human Aβ isoform 1–42 in muscle cells, but adults only develop age-progressive paralysis and amyloid deposition in the body wall muscle after a temperature shift from 20 to 25°C15, while the control strain CL2122 does not express the Aβ peptide (Extended Data Fig. 3a).
Transcripts of the worm orthologs of the MSR were induced in adult GMC101 worms compared to CL2122 following the temperature shift (Fig. 2a), while only partially perturbed at 20°C (Extended Data Fig. 3b). Basal and maximal respiratory capacity were decreased in GMC101 (Fig. 2b and Extended Data Fig. 3c), in contrast with the increased Oxphos transcript levels (Fig. 2a), suggesting a compensatory induction to ensure respiration. Mitochondrial content was lower in GMC101, as shown by decreased Oxphos proteins, mt/nDNA ratio and CS activity (Fig. 2c and Extended Data Fig. 3d–e). Importantly, GMC101 fitness, measured as spontaneous movement16, was robustly reduced relative to CL2122 in line with the muscle disorganization and alteration of the mitochondrial network in the body wall muscle (Extended Data Fig. 3f,g). These data highlight the cross-species conservation of the MSR, and make GMC101 an excellent proxy to characterize the mitochondrial dysfunction and phenotypic impact observed in Aβ diseases in mammals.
Mitochondrial homeostasis counters Aβ proteotoxicity
The control of mitochondrial function and UPRmt during stress in the worm is largely attributable to the activating transcription factor associated with stress, atfs-117,18. Depletion of atfs-1 by RNAi feeding of the GMC101 worms, but not CL2122, caused a severe developmental delay even in absence of the “disease-inducing” temperature shift (Extended Data Fig. 3h), phenocopying mitochondrial respiration mutants that rely on atfs-1 for survival and adaption18. Comparative analysis of transcripts involved in cytosolic and nuclear adaptation pathways, such as UPRer, HSR, and daf-16, showed also a mild induction of the UPRer and a striking upregulation of the HSR in GMC101 (Extended Data Fig. 3i), in line with the role of HSR as a primary defense against proteotoxic stress in worm19. We therefore evaluated the effect of RNAis targeting key regulators of these pathways, hsf-1 and xbp-1, on the development of GMC101. Only atfs-1 RNAi again led to extreme developmental delays, while no alterations were observed with all these RNAis in CL2122 (Extended Data Fig. 3j).
Importantly, basal and maximal respiration in adult GMC101 was significantly impaired upon atfs-1 silencing, while only maximal respiration was partially affected in CL2122 (Fig. 2d). In addition, atfs-1 RNAi exacerbated aggregation (Fig. 2e and Extended Data Fig. 3k) and paralysis (Fig. 2f) in GMC101, while CL2122’s mobility was unaffected (Extended Data Fig. 3l). Furthermore, atfs-1 knockdown in GMC101 prominently repressed the MSR signature, including mitophagy effectors (Fig. 2g), whereas in CL2122, pdr-1, dct-1 and Oxphos transcripts were even induced, in spite of atfs-1 silencing in both strains (Extended Data Fig. 3m,n).
Given the induction of the HSR in the GMC101, we tested whether hsf-1 repression would impact on fitness. Interestingly, while atfs-1 knockdown only paralyzed GMC101, silencing of hsf-1 reduced mobility in both CL2122 and wild-type N2 strains when incubated at 25°C (Extended Data Fig. 3o), reflecting a general effect of hsf-1 on homeostasis independent of the strain. Worm mobility was similarly impaired in GMC101, but not in CL2122, following silencing of atfs-1 with an alternative RNAi we generated (atfs-1 #2) (Extended Data Fig. 3p,q and Supplementary Table 13), confirming a specific role of atfs-1 in ensuring organismal homeostasis in GMC101. Furthermore, silencing of ubl-5, another positive regulator of the UPRmt20, also delayed development and decreased health- and lifespan specifically in GMC101 (Extended Data Fig. 4a–c). Intriguingly, atfs-1 silencing led to further upregulation of the HSR in GMC101 and to its induction in CL2122 (Extended Data Fig. 4d,e), while repressing the MSR specifically in GMC101 (Fig. 2g and Extended Data Fig 3n).
Conversely, to enhance atfs-1 function, we generated two GMC101-derived strains, AUW9 and AUW10, and one CL2122 line (AUW11), overexpressing atfs-1 (Supplementary Table 12,13). This resulted in the induction of the UPRmt (Extended Data Fig. 4f), a significant increase in fitness, and a discrete decrease in paralysis and death scores in the GMC101-derived strains AUW9 and AUW10 (Fig. 2h and Extended Data Fig. 4g,h), while no changes were observed in AUW11 (Extended Data Fig. 4g). As an alternative approach to increase mitochondrial stress response, we crossed GMC101 with two long-lived mitochondrial mutants, i.e. clk-121 and nuo-622 (Supplementary Table 12,13). Consistently, GMC101 with a mutation in these mitochondrial genes (AUW12 and AUW13) manifested intermediate phenotypes between GMC101 and their mitochondrial mutant counterpart, with enhanced healthspan and lifespan (Extended Data Fig. 4i–l).
Altogether, this indicates that atfs-1 and the MSR induction ensure proteostasis and survival in this worm model of Aβ aggregation, and that mitochondria play an active, rather than passive, role during Aβ proteotoxic stress. This prompted us to investigate the potential of boosting mitochondrial proteostasis to curb the progression of this deleterious phenotype.
Reducing mitochondrial translation lowers Aβ proteotoxicity
Given the tight link between the UPRmt and AD observed above, we investigated the effects of two established strategies to induce the UPRmt in C. elegans; genetically, by silencing the expression of the mitochondrial ribosomal protein mrps-523, and pharmacologically, by using the mitochondrial translation inhibitor doxycycline (dox)23,24. Both interventions, which favor worm health and lifespan23, markedly induced transcripts of UPRmt, mitophagy and respiration genes in GMC101 (Fig. 3a,b), without causing major development and growth delays (Extended Data Fig. 5a). Dox similarly induced these pathways in CL2122 (Extended Data Fig. 5b). No perturbations of UPRer and HSR in GMC101 treated with dox or mrps-5 RNAi were observed (Extended Data Fig. 5c,d), while one daf-16 target, mitochondrial superoxide dismutase sod-3, was induced (Extended Data Fig. 5c,d). The transcriptional induction of the MSR impacted beneficially on fitness and lifespan of GMC101 (Fig. 3c–e). Furthermore, Aβ aggregation was reduced by mrps-5 RNAi and dox (Fig. 3f and Extended Data Fig. 5e). Of essence, the improvement in motility and Aβ clearance in GMC101 required atfs-1 (Fig. 3g,h), proving the vital contribution of the UPRmt to the phenotypic improvements. Respirometry on GMC101 worms fed with mrps-5 RNAi at D3 and D6 of adulthood (Extended Data Fig. 5f), showed that mrps-5 knockdown prevented the decrease in respiration upon aging, suggesting a stabilization of mitochondrial function following the MSR-dependent improvement of proteostasis.
We then extended our investigation to a mammalian SY5Y neuroblastoma cell line expressing the APP Swedish K670N/M671L mutation (APPSwe)25. Dox markedly reduced intracellular Aβ deposits, as shown with an Aβ1-42-specific antibody (Fig. 3k and Extended Data Fig. 5g). This improvement was linked to a mito-nuclear protein imbalance and the induction of components of the MSR (Extended Data Fig. 5h,i). These results add to observations of in vitro26 and in vivo studies in AD flies27 and patients28, which suggested that dox treatment may ameliorate AD and Aβ aggregation. Recently, the regulation of the mitochondrial stress responses in mammals, including dox-dependent mitochondrial stress, was shown to rely on the activation of the integrated stress response (ISR) and on the transcription factor ATF429–31. Pretreating cells with ISRIB, a global ISR inhibitor32, prevented amyloid clearance by dox and hampered the dox-mediated induction of canonical ATF4 target genes, such as CHOP and CHAC129 (Fig. 3k and Extended Data Fig. 5g,j). This suggests the involvement of the ISR in resolving Aβ proteotoxic stress in mammalian cells.
Given the induction of mitophagy in 3xTgAD mice, human AD patients and in GMC101 worms, and its further increase upon mrps-5 RNAi and dox treatments, we also tested the contribution of mitophagy to the homeostasis of GMC101. To achieve this, we silenced by RNAi dct-1, an evolutionarily conserved regulator of mitophagy33. dct-1 RNAi reduced GMC101’s health- and life-span already in basal conditions (Extended Data Fig. 5k–m). Furthermore, it blunted the positive effects of mrps-5 RNAi and dox on health- and lifespan (Fig. 3i and Extended Data Fig. 5l,m) and proteostasis (Fig. 3j). Conversely, dct-1 knockdown in CL2122 affected their movement only during aging (Extended Data Fig. 5n,o), stressing the relevance of mitophagy in aging. Altogether, these data show that mitophagy, in addition to UPRmt, is also induced and required for the survival of GMC101 worms and for the beneficial effects of the described interventions.
NAD+ boosters attenuate Aβ proteotoxicity
The UPRmt and mitophagy pathways are also potently induced in worms and in various mammalian tissues by NAD+-boosting compounds, such as nicotinamide riboside (NR), and Olaparib (AZD2281 or AZD)34–37. Similarly to dox and mrps-5 RNAi, treatment of GMC101 with NR and AZD induced the MSR (Fig. 4a,b), and improved health- and lifespan (Fig. 4c–d and Extended Data Fig. 6a). The NR- and AZD-mediated induction of the MSR was also observed in CL2122 (Extended Data Fig. 6b,c), but, these treatments only improved CL2122 fitness during aging (Extended Data Fig. 6d,e), similarly to what previously was shown in N2 worms34. In addition, treatment of GMC101 with NR and AZD reduced proteotoxic stress (Fig. 4e). Importantly, the NR-mediated phenotypic and proteostasis benefits required atfs-1 (Fig. 4f–h, Extended Data Fig. 6f) and dct-1 (Fig. 4i–k, Extended Data Fig. 6g). NR has been shown to increase sirtuin activity, and activate the FOXO/daf-16 signaling in mammals and C. elegans34. Therefore, we evaluated the effect of daf-16 and sir-2.1 silencing on development, healthspan and NR-dependent benefits of GMC101. While sir-2.1 knockdown did not delay growth of GMC101 or its control (Extended Data Fig. 6h), it increased paralysis and death in the GMC101 similarly to dct-1 and atfs-1 RNAis (Extended Data Fig. 6i,k). However, NR still significantly rescued health- and life-span of GMC101 fed with sir-2.1, showing that the effects of NR rely mostly on atfs-1 and dct-1 (Extended Data Fig. 6i,k). Instead, feeding GMC101 with daf-16 RNAi did not result in major phenotypic changes (Extended Data Fig. 6h,j,k). Furthermore, NR did not affect the expression of daf-16 and its targets (Extended Data Fig. 6l). NR and AZD had only a minimal impact on UPRer and HSR in GMC101, with the induction of hsp-16.41 and hsp-16.48/49 (Extended Data Fig. 6l,m). These results indicate that in the GMC101 model, the main mode of action of NAD+ boosting involves the induction of the MSR.
We also assessed the effect of NR in the Aβ-expressing neuronal cells and consistent with the data in C. elegans, we observed a remarkable reduction of the intracellular Aβ deposits with NR (Fig. 4l and Extended Data Fig. 6n), accompanied by increased Oxphos protein (Extended Data Fig. 5h) and MSR transcript levels (Extended Data Fig. 6o).
NR reduces Aβ levels in AD transgenic mice
We have previously shown that NR exerts beneficial effects on health- and lifespan34,36, but whether it also improves mitochondrial function and proteostasis in vivo in a mouse model of Aβ proteotoxicity is so far unknown. We hence treated APP/PSEN1 AD mice with NR and assessed the levels of Aβ plaques in brain with Thioflavin S, as well as mitochondrial Oxphos and MSR transcript and protein expression. In agreement with the effects observed in cells and worms, NR robustly reduced Aβ deposits in cortex tissues of the AD mice (Fig. 5a), and induced the MSR mRNA signature (Fig. 5b) and Oxphos protein levels (Fig. 5c). NR also enhanced context-dependent memory in the APP/PSEN1 AD mice, which was impaired compared to WT animals, as assessed by contextual fear conditioning38 (Fig. 5d), suggesting a potential positive impact on cognitive function. We hence propose that restoring or boosting mitochondrial function and proteostasis induces a conserved repair mechanism, from worm to mouse that leads to decreased Aβ proteotoxicity and improves health- and lifespan.
Discussion
Proteotoxic stress in Aβ diseases, such as AD, is associated with mitochondrial dysfunction, and reduced Oxphos activity has been considered one of the major hallmarks of these diseases. Here, we identify a cross-species mitochondrial stress response signature that implicates mitochondrial proteostasis as a key mechanism in the response to Aβ proteotoxic stress. Most importantly, we show that Aβ accumulation induces both the UPRmt and mitophagy in a strikingly conserved manner from C. elegans to humans. Currently, the molecular mechanism driving this induction is still unclear. Based on our results, we speculate that it must involve the alteration of a basic, conserved functional process, such as for instance mitochondrial import, which is linked to the activation of the UPRmt18, is perturbed during Aβ proteotoxic stress39 and is downregulated in AD patients in our analyses. Our work also provides solid evidence that mitochondria play an active role in the pathogenesis of Aβ diseases, as reducing mitochondrial homeostasis via atfs-1 depletion in GMC101 worms aggravates the hallmarks of the disease (model in Extended Data Fig. 7); conversely, boosting mitochondrial proteostasis by increasing the UPRmt and mitophagy decreases protein aggregation, restores worm fitness and delays disease progression, ultimately translating in increased lifespan. Similarly, in mammals we show that dox and NR decrease Aβ accumulation in a neuronal cell model and that NR treatment reduces amyloid plaque formation in brain and improves contextual memory in APP/PSEN1 AD mice. These findings indicate that boosting mitochondrial function and proteostasis may decrease the formation of detrimental protein aggregates in the context of proteotoxic disease, typified by reduced mitochondrial activity and loss of proteostasis. Together with initial evidence suggesting potential benefits of targeting dysfunctional mitochondria in AD26–28,40,41 and in view of recent findings linking mitochondrial stress to the induction of cytosolic proteostasis mechanisms42–45, our data support the concept that enhancing mitochondrial proteostasis may hold promise to manage pervasive Aβ proteopathies, such as AD.
Methods
Animal experiments
3xTg AD mice, bearing human mutant APPswe, PS1M146V, and TauP301L transgenes11, and wild-type, hybrid 129/C57BL6 mouse littermates were transcardially perfused with saline at 6 and 9 months of age (n = 6/group) and brains from each group were hemisected. One hemisphere was immersion-fixed in 4% paraformaldehyde/0.1% glutaraldehyde for 24 hours and stored in cryoprotectant. From the other hemisphere, hippocampus, frontoparietal cortex, and cerebellum were rapidly dissected and snap-frozen.
APP/PSEN1 mice (Tg(APPswe,PSEN1dE9)85Dbo/Mmjax) were purchased from JAX. APP/PSEN1 mice were fed NR pellets (400 mg/kg/day) for 10 weeks, starting at the age of 4 months. The pellets were prepared by mixing powdered chow diet (2016S, Harlan Laboratories) with water or with NR dissolved in water. Pellets were dried under a laminar flow hood for 48 hours. Mice were housed by groups of 2 to 4 animals per cage and randomized to 7–8 animals per experimental group according to their body weight. No blinding was used during the experiment procedures.
Fear Conditioning
Fear conditioning was conducted as described previously38, using chambers placed in sound-attenuating boxes (635×420×445mm) (Med Associates, USA). Each chamber is equipped with light (infra-red and visible), speakers, and the floor of the chamber consists of a stainless-steel grid connected to a shock generator. A computer running MED PC-IV (Med Associates, USA) controls the presentation of the stimuli (tone and shock). A video camera connected to the MED-VFC-NIR-M automated video-tracking system is used to detect and record movements and freezing behaviour. On the first day (conditioning session), mice were habituated to the testing chamber for 2min followed by the presentation of an auditory cue for 30sec [5kHz tone; 80dB, conditioned stimulus (CS)], co-terminating with a foot shock during the last 2 seconds [0.7mA; unconditioned stimulus (US)]. Mice received four CS-US pairings with an inter-trial interval of 2min. The last CS-US pairing was followed by a 2min-resting phase before mice were returned to their home cage. The entire conditioning session lasted 12min. On the second day, the mouse is re-exposed to the same context with no tone and the freezing response is monitored. Fear was assessed by measuring the percentage of time spent freezing, characterized by a crouching posture and an absence of any visible movement except breathing.
Ethical approval
All experiments were performed in compliance with all relevant ethical regulations. The experiments with postmortem human samples were authorized by the Michigan State University (MSU) Human Research Protection Program. Informed consent for brain autopsies of Rush Religious Orders Study participants was authorized by the Rush University Medical Center Institutional Review Board. The experiments with the 3xTg mice were authorized by the MSU Institutional Review Board and Institutional Animal Care and Use Committee. The experiments with APP/PSEN1 mice were authorized by the local animal experimentation committee of the Canton de Vaud under license 3207. The committee that approved the license is the Commission cantonale pour l’expérimentation animale.
Human brain samples
Superior temporal cortex (Brodmann area 22) samples were obtained postmortem from participants in the Religious Orders Study who died with an antemortem clinical diagnosis of no cognitive impairment (NCI), mild cognitive impairment (MCI), or AD (n = 8/group) (Supplementary Table 6). Neuropsychological and clinical examinations, as well as postmortem diagnostic evaluations, have been described elsewhere46. Demographic, antemortem cognitive testing, and postmortem diagnostic variables were compared among the groups using the nonparametric Kruskal-Wallis Test with Bonferroni correction for multiple comparisons. Gender and apoE ε4 allele distribution were compared using Fisher’s Exact Test with Bonferroni correction.
Bioinformatics analysis
For the in silico analysis of human brain expression datasets, we have used two sets of publicly available RNA-seq data: (1) from the Harvard Brain Tissue Resource Center (HBTRC), for human primary visual cortex (GN Accession: GN327) and human prefrontal cortex (GN Accession: GN328), and (2) from the Translational Genomics Research Institute, for the whole brain (GN Accession: GN314)47. These two datasets are publicly available on GeneNetwork (www.genenetwork.org). For correlation analysis, Pearson’s r genetic correlation of the UPRmt, mitophagy, ER stress and HSR gene sets was performed to establish the correlation between these pathways and genes that are associated or are causal to the development of AD. Analyses were performed using the hallmarks and canonical pathways gene sets databases. Additional information about the data sets employed are provided in Supplementary information.
Gene expression analyses
C. elegans
A total of ≈3000 worms per condition, divided in 3 biological replicates, was recovered in M9 buffer from NGM plates and lysed in the TriPure RNA reagent. Each experiment was repeated twice. Total RNA was transcribed to cDNA using QuantiTect Reverse Transcription Kit (Qiagen). Expression of selected genes was analyzed using the LightCycler480 system (Roche) and LightCycler® 480 SYBR Green I Master reagent (Roche). For C. elegans, 2 housekeeping genes were used to normalize the expression data, namely actin (act-1) and peroxisomal membrane protein 3 (pmp-3). See Supplementary Table 7 for the primer list.
Mouse
Total RNA was extracted from tissues using TriPure RNA isolation reagent (Roche) according to the product manual. Expression of selected genes was analyzed using the LightCycler480 system (Roche) and LightCycler® 480 SYBR Green I Master reagent (Roche). The beta-2-Microglobulin B2m gene was used as housekeeping reference. See Supplementary Table 8 for the primer list.
Human
Total RNA was extracted using guanidine-isothiocyanate lysis (PureLink, Ambion, Waltham, MA) from cortex samples, and RNA integrity and concentration was verified using Bioanalysis (Agilent, Santa Clara, CA). Samples were randomized based on diagnostic group and assayed in triplicate on a real-time PCR cycler (ABI 7500, Applied Biosystems, Foster City) in 96-well optical plates. qPCR was performed using Taqman hydrolysis probe primer sets (Applied Biosystems) specific for the following human transcripts (Supplementary Table 10): HSPA9, HSPD1, YME1L1, DNM1L, BECN1, SQSTM1, PARK2, COX5A, CYC1. A primer set specific for human GAPDH was used as a control housekeeping transcript. For the APPSwe-expressing SH-SY5Y cell line, total RNA was extracted from tissues using TriPure RNA isolation reagent, and expression of selected transcripts was analyzed using the LightCycler480 system (Roche) and LightCycler® 480 SYBR Green I Master reagent (Roche). The GAPDH gene was used as housekeeping reference. See Supplementary Table 9 for the primer list. The ddCT method was employed to determine relative levels of each amplicon. Variance component analyses revealed relatively low levels of within-case variability, and the average value of the triplicate qPCR products from each case was used in subsequent analyses.
C. elegans strains and plasmids generation, and RNAi experiments
C. elegans strains (Supplementary Table 12) were cultured at 20°C on nematode growth media (NGM) agar plates seeded with E. coli strain OP50 unless stated otherwise. Strains used in this study were the wild-type Bristol N2, GMC101 [unc-54p::A-beta-1-42::unc-54 3′-UTR + mtl-2p::GFP]15, CL2122 [(pPD30.38) unc-54(vector) + (pCL26) mtl-2::GFP]48, CB4876 (clk-1(e2519)) and MQ1333 (nuo-6(qm200)). Strains were provided by the Caenorhabditis Genetics Center (University of Minnesota). The strain CL2122 was outcrossed 3 times in the N2 background, and subsequently used in the control experisments reported herein. AUW9 and AUW10: [GMC101+epfEx6[atfs-1p::atfs-1]], and AUW11: [CL2122+epfEx7[atfs-1p::atfs-1]] overexpression strains, and AUW12: [GMC101+clk-1(e2519) III], AUW13: [GMC101+nuo-6(qm200) I] were generated within this study.
Cloning and sequencing primers used in C. elegans are listed Supplementary Table 13. atfs-1p::atfs-1 expression vector was created by amplifying 1488 bp sequence upstream from the transcription start site of atfs-1 coding region by using worm genomic DNA for the promoter region. The PCR product was digested with PciI and AgeI and ligated into the pPD30.38 expression vector containing gfp coding sequence cloned between inserted AgeI and NotI restriction sites. The atfs-1 coding sequence (CDS) was instead amplified using using C. elegans cDNA, and the PCR product was inserted into pPD30.38 downstream of the promoter region, between AgeI and NheI restriction sites. The correctness of the atfs-1p::atfs-1 construct was assessed by sequencing with the indicated pPD30.38 and atfs-1 seq. primers. Two independent GMC101 lines (AUW9 and AUW10), and one CL2122 strain (AUW11) carrying atfs-1p::atfs-1 transgene as extrachromosomal array were analyzed in the study. Injection marker myo-2p::gfp was cloned by amplifying 1179 bp sequence upstream from the transcription start site of myo-2 coding region by using C. elegans genomic DNA. The PCR product was digested with PciI and AgeI and ligated into the pPD30.38 expression vector containing atfs-1::gfp to replace atfs-1 promoter sequence between PciI and AgeI restriction sites. All transgenic strains were created by using microinjection. For the generation of the GMC101 lines AUW12 and AUW13, GMC101 males were generated after exposure of L4 worms to 30°C for 3h, and let mate with L4 from clk-1 or nuo-6 mutant strains. The derived progeny was selected for homozygosis of the GMC101 intestinal GFP marker for few generations, and the homozygosis of the clk-1 or nuo-6 mutant alleles verified by amplifying and sequencing a 500 bp region of the worms genomic DNA encompassing the desired mutation (Supplementary Table 13). Bacterial feeding RNAi experiments were carried out as described49. Clones used were atfs-1 (ZC376.7), ubl-5 (F46F11.4), mrps-5 (E02A10.1), dct-1 (C14F5.1), daf-16 (R13H8.1), sir-2.1 (R11A8.4), xbp-1 (R74.3) and hsf-1 (Y53C10A.12). Clones were purchased from GeneService and verified by sequencing. The novel atfs-1 RNAi construct (atfs-1 #2) used in this study was generated by amplifying 1400 bp of the atfs-1 genomic DNA sequence, starting from the last exon of atfs-1. Gateway cloning (Thermo Scientfic) was used to insert the PCR product into the gateway vector pL4440gtwy (Addgene #11344), and verified by sequencing. atfs-1 knockdown was verified by qPCR for all the atfs-1 RNAi constructs used herein. For phenotypic studies (see below), worms at the L4 larval stage were allowed to reach adulthood and lay eggs on the treatment plates. The deriving F1 worms were shifted from 20°C to 25°C at the L4 stage to induce amyloid accumulation and paralysis, and phenotypes assessed over time as indicated. For double RNAi experiments, we used a combination of atfs-1 with mrps-5 RNAi constructs as indicated in the text, with 80% amount of atfs-1 and 20% mrps-5 RNAi. For mRNA analysis, synchronized L1 worms were exposed to the treatment plates, and shifted from 20°C to 25°C when reaching the L4 stage. After 24 hours incubation at 25°C, corresponding to day 1 of adulthood, they were harvested in M9 for analysis.
Pharmacological treatment of C. elegans
Doxycycline was obtained from Sigma-Aldrich and dissolved in water23. For experiments, a final concentration of 15 μg/mL was used. Olaparib (AZD2281) was dissolved in DMSO to experimental concentrations of 300 nM34. Nicotinamide Riboside triflate (NR) was custom synthesized by Novalix (http://www.novalix-pharma.com/) and dissolved in water, and used at a final concentration of 1mM34. Compounds were added just before pouring the plates. For phenotyping experiments, parental F0 L4 worms were allowed to reach adulthood and lay eggs on the treatment plates. The deriving F1 worms were therefore exposed to compounds during the full life from eggs until death. For RNA analysis experiments, synchronized L1 worms were exposed to the compounds until harvest. To ensure a permanent exposure to the compound, plates were changed twice a week.
Worm phenotypic assays
Mobility
C. elegans movement analysis was performed as described16, starting from day 1 of adulthood, using the Movement Tracker software. The experiments were repeated at least twice.
Development
50 adult worms per condition were transferred on NGM agar plates (10 worms per plate) and allowed to lay eggs for 3 h. Then they were removed and the number of eggs per plate was counted. 72 h later, the number of L1–L3 larvae, L4 and adult worms was counted. The experiment was done twice with five individual plates.
Paralysis and death score
5 L4 worms per condition were allowed to reach adulthood and lay eggs on the treatment plates. 45 to 60 deriving F1 worms per condition were manually scored for paralysis after poking, as already described15. Worms that were unable to respond to any, repeated stimulation, were scored as dead. Results are representative of the data obtained in at least three independent experiments.
Oxygen-consumption assays
Oxygen consumption was measured using the Seahorse XF96 equipment (Seahorse Bioscience)34,50. Respiration rates were normalized to the number of worms in each individual well and calculated as averaged values of 5 to 6 repeated measurements. Each experiment was repeated at least twice.
MitoTracker® Orange CMTMRos staining
A population of 20 worms at L4 stage were transferred on plates containing MitoTracker® Orange CMTMRos (Thermo Scientific) at a final concentration of 2ug/uL. The plates were incubated at 25°C and the worms were collected and washed in 200uL of M9 in order to remove the residual bacteria after 24h of treatment. The worms were then incubated for 30 minutes on regular NGM plates at 25°C and mounted on an agar pad in M9 buffer for visualization. Mitochondria were observed by using confocal laser microscopy.
Phalloidin and DAPI staining
A population of 100 L4 worms was incubated for 24h at 25°C. The worms were then washed in M9 and frozen in liquid nitrogen, immediately after they were lyophilized using a centrifugal evaporator. Worms were permeabilized using acetone. 2 U of phalloidin (Thermo Scientific) were resuspended in 20uL of a buffer containing: Na-phosphate pH 7.5 (final concentration 0.2mM), MgCl (final concentration 1mM), SDS (final concentration 0,004%) and dH2O to volume. The worms were incubated for 1h in the dark and then washed 2 times in PBS and incubated in 20uL of 2ug/mL DAPI in PBS for 5 minutes. Following the immobilization, worms were observed by using confocal laser microscopy.
Quantitative real-time PCR for mtDNA/nuDNA ratio
Absolute quantification of the mtDNA copy number in worms was performed by real-time PCR. Relative values for nd-1 and act-3 were compared within each sample to generate a ratio representing the relative level of mtDNA per nuclear genome. The results obtained were confirmed with a second mitochondrial gene MTCE.26. The average of at least three technical repeats was used for each biological data point. Each experiment was performed at least on five independent biological samples.
Cell culture and treatments
The SH-SY5Y neuroblastoma cell line expressing the APP Swedish K670N/M671L double mutation (APPSwe)25 was a kind gift of Prof. Cedazo-Minguez (Karolinska Institute, Sweden). Cells were grown in DMEM/F-12, supplemented with 10% fetal bovine serum (FBS, Gibco), GlutaMAX (100X, Gibco) and penicillin/streptomycin (1x, Gibco). Cells were selected in 4 μg/mL Geneticin® Selective Antibiotic (G418 Sulfate, Sigma) and grown for three generations before experiments with cells plated and passaged at 4×10^3 cells/ml and 60% confluence, respectively. Cells were cultured at 37 °C under a 5% CO2 atmosphere and tested for mycoplasma using Mycoprobe (#CUL001B, R&D systems) following the manufacturer’s instructions. Cells were treated with 10μg/mL dox, NR 1 or 3mM, ISRIB 0.5μM (Sigma), as indicated for 24 hours before cell harvesting or fixation. For the immunostaining, cells were fixed with 1x Formal-Fixx (Thermo Scientific) for 15min. After 15min permeabilization with 0.1% Triton X-100, cells were blocked in PBS supplemented with 5% fetal bovine serum for 1 hour and immunostained overnight, at 4°C, with the anti-β-Amyloid 1-42 (1:100, Millipore AB5078P). The secondary antibody was coupled to the Alexa-488 fluorochrome (Thermo Scientific), and nuclei were stained with DAPI (Invitrogen, D1306). After washing in PBS, cell slides were mounted with Dako mounting medium (Dako, S3023) and examined with a Zeiss LSM 700 confocal microscope (Carl Zeiss MicroImaging) equipped with a Plan-Apochromat 40×/1.3 NA oil immersion objective lens using a 488 nm laser. Laser power was set at the lowest intensity allowing clear visualization of the signal. Imaging settings were maintained with the same parameters for comparison between different experimental conditions.
Western blot analysis
C. elegans
Worms were lysed by sonication with RIPA buffer containing protease and phosphatase inhibitors (Roche), and analyzed by SDS–PAGE and western blot. The concentration of extracted protein was determined by using the Bio-Rad Protein Assay. Proteins were detected using the following antibodies: anti-β-actin (Sigma), anti-tubulin (Santa Cruz), atp-5, ucr-1 (Oxphos cocktail, Abcam), anti-β-Amyloid, 1-16 (6E10) (BioLegend). In addition to the housekeeping proteins, loading was monitored by Ponceau Red to ensure a homogeneous loading. Pixel intensity was quantified by using ImageJ software. Each immunoblot experiment was repeated at least twice using 3 biological replicates each containing ≈1000 worms.
Mouse
Frozen cortex tissue samples were lysed by mechanical homogenization with RIPA buffer containing protease and phosphatase inhibitors, and analyzed by SDS–PAGE and western blot. Subsequently, the concentration of extracted protein was determined by using the Bio-Rad Protein Assay. Proteins were detected using the following antibodies: HSP60 (Enzo Life Science), CLPP (Sigma), anti-GAPDH (14C10) (Cell Signaling), LONP1 (Sigma), PINK1 (Novus Biologicals), LC3 A/B (Cell Signaling), SDHB (Oxphos cocktail, Abcam), MTCO1 (Abcam), Ubiquitin (Enzo), P62 (BD Transduction Laboratories), Phopsho P62 (Cell Signaling), VDAC (Abcam). In addition to the housekeeping proteins, loading was monitored by Ponceau Red to ensure a homogeneous loading. Antibody detection reactions for all the immunoblot experiments were developed by enhanced chemiluminescence (Advansta) and imaged using the c300 imaging system (Azure Biosystems). Pixel intensity was quantified by using ImageJ software.
Human
Frozen cortex tissue samples were prepared as previously described51. Samples were randomized based on diagnostic group and assayed in triplicate. For CLPP, blots were incubated overnight at 4°C with a mouse monoclonal antibody to CLPP (1:1000; clone 2E1D9, ProteinTech) and then incubated for one hour with near-infrared-labeled goat anti-mouse IgG secondary antiserum (IRDye 800LT, 1:10,000; Licor) and analyzed on an Odyssey imaging system (Licor). Following imaging, the membranes were stripped and re-probed with a mouse monoclonal GAPDH antibody (1:10’000; clone 2D9, Origene) overnight followed by 1-hour incubation with near-infrared-labeled goat anti-mouse IgG secondary antiserum and Odyssey imaging. For mtDnaJ/Tid1, blots were incubated overnight at 4°C with both a mouse monoclonal antibody to mtDnaJ/Tid1 (1:500; clone RS13, Cell Signaling) and the GAPDH antibody, followed by goat anti-mouse IgG incubation and Odyssey imaging. Signals for CLPP and mtDnaJ were normalized to GAPDH for quantitative analysis. Details about all the antibodies used are listed in Supplementary Table 11.
Citrate synthase activity assay
Citrate synthase (CS) enzymatic activity was determined in mouse cortex samples and C. elegans using the CS assay kit (Sigma). Absorbance at 412 nm was recorded on a Victor X4 (PerkinElmer) with 10 readings over the 1.5 min timespan. These readings were in the linear range of enzymatic activity. The difference between baseline and oxaloacetate-treated samples was obtained and used to calculate total citrate synthase activity according to the formula provided in the manual. The obtained values were normalized by the amount of protein used for each sample.
Extraction of the mitochondrial fraction
Cortexes were placed in a homogenizer glass-Teflon potter tubes with 5ml of a buffer prepared adding 10 ml of 0.1MTris–MOPS and 1 ml of EGTA/Tris to 20 ml of 1M sucrose and bringing the volume to 100ml with distilled water. Homogenization was performed at 1600rpm for 5 minutes. The samples were then centrifuged for 10min at 600g and the supernatants were collected. A second centrifugation at the speed of 7000g for 10 min was performed on the supernatants in order to precipitate the mitochondrial fraction. All the steps were performed on ice or at 4°C.
Histology
Brains hemispheres were harvested from anaesthetized mice and immediately frozen in isopentane. 8-μm cryosections were collected and fixed with 4% paraformaldehyde. For immunostainings, sections were stained with 0,01% Thioflavin S (Sigma) for 15min at room temperature, and after washes in ethanol and PBS, stained with Hoechst (Life Technology). After washing in PBS, tissue sections were mounted with Dako mounting medium. Images were acquired using Leica DM 5500 (Leica Microsystems) CMOS camera 2900 Color at the same exposure time. Quantitative analysis of the immunofluorescence data was carried out by histogram analysis of the fluorescence intensity at each pixel across the images using Image J (Fiji; National Institutes of Health). Appropriate thresholding was employed to all the images of each single experiment to eliminate background signal in the images before histogram analysis. Fluorescence intensity and signal positive areas were calculated using the integrated “analyse particles” tool of the Fiji software, and statistical analysis were performed using Prism 6 (GraphPad Software).
Statistical analyses
Differences between two groups were assessed using two-tailed t tests. Differences between more than two groups were assessed by using two-way ANOVA..GraphPad Prism 6 (GraphPad Software, Inc.) was used for all statistical analyses. Variability in all plots and graphs is represented as the s.e.m. All P values < 0.05 were considered to be significant. *P < 0.05; **P ≤ 0.01; ***P ≤ 0.001; ****P ≤ 0.0001 instead stated otherwise. All mouse experiments were performed once. Animals that showed signs of severity, predefined by the animal authorizations were euthanized. These animals, together with those who died spontaneously during the experiments, were excluded from the calculations. These criteria were established before starting the experiments. For motility, fitness and death scoring experiments in C. elegans, sample size was estimated based on the known variability of the assay. All experiments were done non-blinded and repeated at least twice.
Data availability
All data generated or analysed during this study are included in this published article (and its supplementary information files). Source data for uncropped gels and for all the individual p values presented herein are provided with the paper. The expression datasets that support the findings of this study are available in GeneNetwork (www.genenetwork.org) with the identifiers GN327, GN328, GN31447, and on the Geo Dabatabase (https://www.ncbi.nlm.nih.gov/geo/) with the identifiers (GSE3112, GSE39454)52,53. The worm strains generated in this study are available upon request.
Extended Data
Supplementary Material
Acknowledgments
We thank P. Gönczy and M. Pierron (EPFL) for sharing reagents, the Caenorhabditis Genetics Center, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440), for providing worm strains. V.S. is supported by the ‘EPFL Fellows’ program co-funded by Marie Skłodowska-Curie, Horizon 2020 Grant agreement (665667). D.D. is supported by a fellowship funded by Associazione Italiana per la Ricerca sul Cancro (AIRC) and Marie Curie Actions. S.E.C. is supported by NIH grants (P01AG014449, R21AG053581 and P30 AG053760). This research is supported by the EPFL, NIH (R01AG043930), Systems X (SySX.ch 2013/153), Velux Stiftung (1019), and the Swiss National Science Foundation (31003A-140780).
Footnotes
Online Content Methods, along with any additional Extended Data display items, are available in the online version of the paper; references unique to these sections appear only in the online paper.
Supplementary Information is linked to the online version of the paper at www.nature.com/nature.
Author contributions V.S. and J.A. conceived and designed the project. V.S., L.M., M.R., J.S.B., H.Z., D.D., F.P., N.M., A.S., S.R., and S.E.C. performed the experiments. V.S., M.R., and L.M. independently replicated worm experiments on figures 2–4. V.S., L.M. and J.A. wrote the manuscript.
The authors declare no competing financial interests.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data generated or analysed during this study are included in this published article (and its supplementary information files). Source data for uncropped gels and for all the individual p values presented herein are provided with the paper. The expression datasets that support the findings of this study are available in GeneNetwork (www.genenetwork.org) with the identifiers GN327, GN328, GN31447, and on the Geo Dabatabase (https://www.ncbi.nlm.nih.gov/geo/) with the identifiers (GSE3112, GSE39454)52,53. The worm strains generated in this study are available upon request.