Huntington disease is a neurodegenerative condition for which there is no cure to date. Activation of AMP-activated protein kinase has previously been shown to be beneficial in in vitro and in vivo models of Huntington’s disease. Moreover, a recent cross-sectional study demonstrated that treatment with metformin, a well-known activator of this enzyme, is associated with better cognitive scores in patients with this disease. We performed a preclinical study using metformin to treat phenotypes of the zQ175 mouse model of Huntington disease. We evaluated behavior (motor and neuropsychiatric function) and molecular phenotypes (aggregation of mutant huntingtin, levels of brain-derived neurotrophic factor, neuronal inflammation, etc.). We also used two models of polyglutamine toxicity in Caenorhabditis elegans to further explore potential mechanisms of metformin action. Our results provide strong evidence that metformin alleviates motor and neuropsychiatric phenotypes in zQ175 mice. Moreover, metformin intake reduces the number of nuclear aggregates of mutant huntingtin in the striatum. The expression of brain-derived neurotrophic factor, which is reduced in mutant animals, is partially restored in metformin-treated mice, and glial activation in mutant mice is reduced in metformin-treated animals. In addition, using worm models of polyglutamine toxicity, we demonstrate that metformin reduces polyglutamine aggregates and restores neuronal function through mechanisms involving AMP-activated protein kinase and lysosomal function. Our data indicate that metformin alleviates the progression of the disease and further supports AMP-activated protein kinase as a druggable target against Huntington’s disease.
Huntington disease (HD) is a dominant, inherited neurodegenerative disorder that leads to impaired motor coordination associated with chorea and progressive deterioration of cognitive function. Patients with HD have an abnormal CAG expansion within the first exon of the huntingtin gene, HTT. This gene encodes a cytosolic protein, huntingtin (Htt), the function of which is unclear. When HTT has 35 or more CAG triplet repeats, the protein contains abnormally long glutamine tracts (polyQ), resulting in a mutant huntingtin (mHtt), which shows toxic gain-of-function properties. mHtt is prone to improper folding and to forming aggregates, thereby perturbing a range of essential cellular functions1 and impairing cell viability with particularly severe effects in neurons of the striatum2.
Neurons respond to toxic mHtt by activating pathways of protein clearance, such as autophagy3 or the proteasome4. Among the molecules that can induce autophagy, AMP-activated protein kinase (AMPK), the master regulator of energy homeostasis in eukaryotic cells, plays a key role5,6. This enzyme is a heterotrimer (AMPKα is catalytic and AMPKβ and AMPKγ are regulatory subunits7,8) that is activated when ATP levels are reduced. Activated AMPK coordinates metabolism, cell growth, and autophagy, and through the autophagy pathway, AMPK activation is able to reduce the levels of mHtt3. Activation of AMPK by genetic and pharmacological means also reduces neuronal polyQ-induced toxicity in Caenorhabditis elegans9 and reduces cell death in a mammalian in vitro model of HD9, which is accompanied by a reduction in mHtt aggregates. Moreover, overexpression of the AMPKγ gain-of-function mutant reduces neuronal loss in a mouse model of HD9. Therefore, this enzyme has been proposed as a druggable target against HD9.
Reducing mHtt expression in models of HD reverses phenotypes associated with the disease10,11. One potential substance that may induce mHtt lowering is metformin, a well-known AMPK activator12,13. Metformin is used worldwide to treat type 2 diabetes mellitus14. Interestingly, researchers discovered that patients suffering from this disease who are chronically taking metformin experience unexpected side benefits, such as protection against cancer15 and nephrotic symptoms16, among others. Metformin demonstrates cell protection properties in polyQ-expressing C. elegans and in vitro models of HD9. In addition, metformin treatment also increases lifespan, among other effects, in males of the R6/2 mouse model of HD17. Finally, a statistical analysis of participants in the Enroll-HD database, a worldwide observational study on HD, showed that metformin intake is associated with better cognitive function in HD patients18, strongly pointing to metformin as a putative treatment for HD.
In this study, C. elegans was used to illustrate that metformin is able to reduce the aggregation of polyQs and neuronal impairment in worms in an AMPK- and lysosomal-dependent manner. We also performed a protocol to test the beneficial effects of metformin in the zQ175 mouse model of HD at 3 months of age (i.e., early stages of HD). After 3 months of treatment, untreated heterozygous zQ175 animals showed strong neuropsychiatric and motor defects that were partially prevented by metformin treatment. In the same way, untreated zQ175 animals exhibited morphological abnormalities in the striatal neurons that were ameliorated in animals treated with metformin. Moreover, in metformin-treated mice, mHtt aggregation was reduced, and brain-derived neurotrophic factor (BDNF) levels, which were lower in untreated HD mice than in controls, showed a clear recovery. Analysis of the cortex of these animals showed that metformin treatment was also able to ameliorate the brain inflammatory response in zQ175 animals.
Materials and methods
Worm culture and transgenesis
Worms were cultured using techniques and media described elsewhere19. The genotype of the C. elegans strains used in this work is described in Table 1. Worms were cultured at 20 °C. The 112Q worm model was created by microinjection of a mixture of plasmids: 5 ng/μl of pCFJ90 (final concentration), 25 ng/μl of pRVM-112Q, and 100 ng/μl of pYES2 as a carrier DNA, as described elsewhere20,21. pRVM-112Q was created using the Gateway system (Invitrogen, Waltham, MA, USA), fusing three components, the promoter of the mec-3 gene to drive the expression of the construct in mechanosensory neurons, 112CAG::TdTomato, and the terminator of transcription of the unc-54 gene into the destination vector pCFJ150. 112CAG::TdTomato was synthesized de novo in General Biosystems (Morrisville, NC, USA). This construct was codon optimized for C. elegans with three artificial introns to facilitate expression. The sequence of 112CAG::TdTomato was flanked by the attB1 and attB2 sequences to allow recombination in pDONR221 vectors (pDONR-P4-P1r-mec-3p and pDONR-P2r-P3-unc-54T). pCFJ90 (Pmyo-2::mCherry::unc-54utr; Addgene plasmid # 19329) and pCFJ150 (pDESTttTi5605 [R4-R3]; Addgene plasmid # 19327) were gifts from Erik Jorgensen22 (Additional file 1: Fig. S1).
Phenotypical assays on worms
Touch assays were performed by gently passing an eyelash, mounted on a toothpick, through the tail of the worms, as described elsewhere23. The tail of each worm was scored approximately 10 times. This test was performed on approximately 50 animals, and the average response was plotted. Each assay was repeated at least three times.
To estimate the rate of aggregation of polyQ-containing proteins, the number of inclusion bodies was counted in 40Q::YFP animals using a dissecting microscope equipped with fluorescence (Leica M165FC; Leica, Wetzlar, Germany). At least 30 animals of each strain and/or treatment group were counted.
Drug assays on worms
Worms used for touch assays were grown in 96-well plates with liquid medium to a final volume of 50 μl. Animals used to estimate the number of inclusion bodies were grown in 50 ml tubes to a final volume of 5 ml. Both liquid cultures consisted of a mix of M9, Escherichia coli as a source of food (strain OP50; used a proportion of 1:9 of a suspension with an OD600 = 0.5), 50 mg/ml streptomycin, 12.5 mg/ml nystatin, and the corresponding amount of metformin/vehicle. Twenty-four hours before the assays were performed, 10 µM chloroquine was added to the medium. Metformin was used at a concentration of 2 mM, unless otherwise stated. Both drugs were obtained from Sigma-Aldrich (St. Louis, MO, USA). Images of polyQ worms were taken using a confocal microscope (Leica TCS SP5 Confocal microscope, Leica Microsystems SLU, Barcelona, Spain) belonging to the Microscopy Unit of the IIS-La Fe (Valencia, Spain), as described before24,25.
Mouse maintenance, treatment, and analysis
This study was carried out in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the Consejo Superior de Investigaciones Cientificas (CSIC, Spain). All mouse procedures were approved by the animal committee of the Instituto de Biomedicina de Valencia-CSIC [Permit Number: IBV-18 and IBV-22]. All efforts were made to minimize animal suffering. Male mice were sacrificed by cervical dislocation. The brain was recovered, and the two hemispheres were separated: one was conserved at −80 °C for molecular analysis, and the other was fixed in 4% paraformaldehyde in phosphate-buffered saline (PBS) for immunohistochemical analyses.
Mice were group housed (4–5/cage) in standard cages with wood shavings, and the environment was enriched with shredded paper. Breeder animals also received cotton nestles. Food and water were available ad libitum. Temperature (22–26 °C) and humidity (45-65%) were controlled and monitored daily, and a 12 h light–dark cycle (7:00 a.m.–19:00 p.m.) was instituted. Mice were housed at the Instituto de Biomedicina de Valencia-CSIC (València, Spain).
The zQ175 mouse, provided by the CHDI Foundation, carries a normal murine Htt allele and a knock-in (KI) mutant Htt/HTT mouse/human hybrid allele containing approximately 190 CAG repeats. Heterozygous and wild-type (WT) mice were generated by crossing heterozygous zQ175 mice in a C57BL/6J background. The genotype of the offspring was verified by PCR using genomic DNA extracted from tail tips. Biochemical and behavioral experiments were performed using littermates from the same population, which were randomly assigned to the treated or untreated groups. Only male mice were used in this study as a first approach to determine whether metformin treatment is able to ameliorate the HD phenotypes.
To genotype the CAG expansions of the mice, we obtained genomic DNA from tail and cortex tissues using the DNeasy Blood & Tissue Kit (Qiagen, Venlo, The Netherlands). PCRs were performed to amplify the expansion of CAGs using the following primers synthesized in IDTDNA (Coralville, IA, USA): HD-large-Forward (marked with 6-carboxyfluorescein [6- FAM] 5ʹ-ATG GCG ACC CTG GAA AAG CTG ATG AA-3ʹ and HD-large-Reverse 5ʹ-GGC GGC TGA GGA AGC TGA GGA-3ʹ, using the following program: 95 °C for 5 min and then 35 cycles of 95 °C for 45 s, 67 °C for 1 min, and 30 s and 72 °C for 5 min; finally, an extension step was performed at 72 °C for 10 min FAM-labeled PCR products were analyzed in an ABI PRISM 3100 Genetic Analyzer (3130xl System Upgrade) (Thermo Fisher, Waltham, MA, USA), together with the GeneScan 600 LIZ dye Size Standard v2.0 (Thermo Fisher), using the GeneMapper software (Thermo Fisher). We assumed that the mean number of CAG triplets of the mutant allele corresponded to the peak with the highest intensity in the center of the normal distribution formed by the PCR fragments. The amplified CAG repeat was flanked by 100 bp, which includes the primer sequences. Therefore, the mean number of CAG triplets of each sample was obtained using the following formula: average number of CAG triplets = (bp of the highest peak − 100)/3. We present the raw data results in Supplementary Fig. S4 (tail samples) and S5 (cortex samples). The comparison of the CAG expansions is shown in Supplementary Table S1 and shows no substantial dispersion among the mouse groups.
Three-month-old heterozygous zQ175 male mice were treated with 2 mg/ml metformin, administered ad libitum with the drinking water, for 3 months. This dose was chosen because the optimal oral metformin dose for many diabetic patients (approximately 20 mg/kg/day) has been translated into the mouse equivalent dose of 250 mg/kg/day26.
A battery of behavioral tests at the beginning and end of the treatment (Additional file 1: Fig. S2) was performed. During this period, no differences in body weight or other health parameters were observed among treatment groups and control animals (Additional file 1: Fig. S3). A total of 29 heterozygous male zQ175 mice (HD mice from now) and 22 WT mice were used in this study, distributed as follows: 12 HD and 8 WT mice received metformin treatment, and 17 HD and 14 WT mice were left untreated.
Mouse behavioral testing
The behavior assessment was initiated when animals were 3 months old (pretreatment) and then repeated after 3 months of treatment (6 months old; post treatment). We consider this interval of time, from 3 to 6 months of age of the zQ175 animals, as the early phases of HD. Experiments were performed with at least 1–2 day intervals between tests. The results were scored by a person blinded to genotype and treatment.
Tail suspension test
Animals were suspended by their tails, and the amount of “immobility” time was measured27. A mouse was judged to be immobile when it hung by its tail without engaging in any active behavior. Test sessions lasted for 6 min, and scoring was performed by a single experienced observer who was blinded to the genotypes and treatments. Latency to immobility and duration of immobility were measured.
Beam balance assesses a mouse’s ability to maintain balance while traversing a narrow beam to reach a safe platform28. Three different beams are used in the assay with widths of 30, 12, and 5 mm. Decreasing the width of the path increases the fear associated with crossing the beam and impairs animal performance. This assay is used for the early detection of motor deficits in mouse models of HD. The recorded measurements included the time taken to cross the beam and the number of paw faults or slips.
The rotarod was specifically designed for making automated measurements of neurological deficits in rodents and is one of the most commonly used tests of motor function in mice28. Mice were tested over 3 consecutive days. Each daily session included a single training trial of 5 min at 4 rpm on the rotarod apparatus. One hour later, the animals were tested for three consecutive accelerating trials of 5 min with the rotarod speed changing from 0 to 40 rpm over 300 s, with an intertrial interval of at least 30 min The latency to fall from the rod was recorded for each trial. Mice that remained on the rod for more than 300 s were removed, and their latency was scored at 300 s.
Dehydrated tissues from at least three independent mice per group were embedded in paraffin, and sagittal brain slices were sectioned at 5 μm. Sections corresponding to Fig. 107 of the Paxinus and Franklin’s mouse brain atlas were dewaxed, rehydrated, and warmed at 95 °C for 20 min in 10 mM citrate buffer for antigen retrieval. Sections were blocked in blocking buffer (1% bovine serum albumin; 5% fetal bovine serum in PBS) and incubated overnight at 4 °C with the appropriate primary antibody diluted in blocking buffer: anti-glial fibrillary acidic protein (GFAP) (diluted 1/600; Sigma ref. #G3893), anti-ionized calcium-binding adaptor molecule 1 (IBA1) (diluted 1/200; Wako ref. #019-19741), anti-brain-BDNF (diluted 1/500; Santa Cruz ref. #sc-546), anti-mHtt mEM48 (diluted 1/100; Merck Millipore ref. #MAB5374), anti-p62 (diluted 1/500; Abcam ref. #ab56416), anti-phosphorylated acetyl CoA carboxylase (pACC) (diluted 1/100; Cell Signalling ref. #3661), and anti-phospho-Thr202/Tyr204-extracellular signal-regulated kinase1/2 (pERK1/2) (diluted 1/400; Cell Signalling ref. #4376). After three washes of 10 min in PBS, sections were incubated for 1 h at room temperature with the corresponding biotin-conjugated anti-rabbit or anti-mouse secondary antibody (Jackson ImmunoResearch, West Grove, PA, USA) diluted in blocking buffer, washed three times with PBS for 5 min, and visualized with Avidin–Biotin Complex (ABC) (Vectastain Elite ABC Kit, Vector Laboratories, Burlingame, CA, USA) using diaminobenzidine as the chromogenic substrate for peroxidase (Peroxidase Substrate Kit DAB; Vector Laboratories, Burlingame, CA, USA). Sections were slightly counterstained with hematoxylin (Sigma, Madrid, Spain), dehydrated, and mounted in DPX (Merck, Germany). Images were acquired by light microscopy (Leica DM RXA2, Leica Microsystems, Wetzlar, Germany) and analyzed with the ImageJ software (NIH, Bethesda, MD, USA). To quantify the diaminobenzidine (DAB) intensity of each sample, we used a macro for ImageJ developed for automatic DAB stain detection and semiquantitative analysis29. This macro included a background subtraction algorithm followed by color deconvolution calibrated to DAB and hematoxylin stains in individual stained slides30. Comparison of different parameter combinations was achieved by overlaying the measured area to the original picture31. Before final data collection, the macro was refined and validated in a randomly chosen subset of pictures for each experimental group. Then, the amount of positive staining is expressed as the percentage area of positive staining relative to the total area of the picture. Experiments were scored by a person blinded to genotype and treatment.
Western blot analyses
Mouse brain homogenates were lysed in RIPA buffer [50 mM Tris-HCl, pH 8; 150 mM NaCl; 1 mM EDTA; 1 mM EGTA; 1% Triton X-100; 0.5% sodium deoxycholate; 0.1% sodium dodecyl sulfate (SDS); 50 mM NaF; 5 mM Na2P4O7; 1 mM phenylmethylsulfonyl fluoride, and complete protease inhibitor cocktail (Roche, Rotkreuz, Switzerland)] for 20 min at 4 °C and centrifuged at 10,000 ×g for 15 min The supernatants were collected, and a total of 40 µg protein was subjected to SDS-polyacrylamide gel electrophoresis (SDS-PAGE), transferred onto a polyvinylidene difluoride membrane, and revealed with the appropriate antibodies: anti-GFAP (diluted 1/1000; Sigma ref. #G3893), anti-IBA1 (diluted 1/1000; Wako ref. #019-19741), anti-BDNF (diluted 1/500; Abcam ab203573), anti-p-62 (diluted 1/500; Abcam ab56416), and anti-ACTIN (diluted 1/1000; Sigma ref. #A2066). Primary antibodies were incubated overnight at 4 °C. Images were obtained with either a FujiLAS4000 using ECL or ECL-Prime (Amersham Biosciences, GR Healthcare). The results were analyzed using the Image Studio version 5.2 software (LI-COR Biosciences, Germany). Experiments were performed in at least three individuals from each genotype.
Continuous variables were summarized using the mean (standard deviation) and median (1st, 3rd quartiles). Categorical variables were summarized using absolute and relative frequencies (%).
To assess the effectiveness of the treatment with substances (i.e., metformin and chloroquine) in worms expressing 112Q in mechanosensory neurons, we used a beta regression model adjusted for neuronal response, including genotype, chloroquine administration, and metformin intake as interacting variables. To assess the dynamics of aggregation, we performed a negative binomial regression, which is appropriate for count data. To assess the requirement of AMPK for metformin effects in mechanosensory neurons disrupted by 112Q, a beta regression was adjusted to include genotype (aak-2 vs. wild-type) and treatment (metformin vs. vehicle) as interacting variables. To investigate the requirement of AMPK in the aggregation of 40Q, an adjusted negative binomial was performed, including treatment with metformin, treatment with chloroquine, and genotype as interacting variables.
To investigate the effectiveness of treatment in the behavioral tests in mice (tail suspension test, rotarod, and beam balance), a mixed linear regression was performed adjusting for interactions between genotype, treatment, and phase, and including mice as a random intercept.
The analysis of the concentration of phosphorylated ACC and p62 expression was performed through beta regression models, including treatment and genotype as interacting variables. To assess BDNF expression, we used a beta mixed- effect model, with mouse codes as a random intercept, treatment, and genotype included as interacting variables and tissue included as a confounding variable. To evaluate IBA1 and pERK1/2 expression, beta mixed-effect models were used, with mouse codes as a random intercept and treatment and genotype included as interacting variables. Analysis of GFAP expression was performed through a beta regression that included treatment and genotype as interacting variables and tissue as a confounding variable.
To analyze the presence of mHtt aggregates, a mixed beta regression was performed, including mouse codes as a random intercept and treatment and genotype as interacting variables. Brain region (i.e., cortex and striatum) was used as a confounding variable.
All statistical analyses were performed using R (3.4.4) and the packages clickR (0.3.64), betareg (3.1), lme4 (1.1), MASS (7.3), and glmmTMB (0.2.1). We present the estimate (linear regression models) or odds ratio (OR, beta and negative binomial models), 95% confidence interval (95% CI) and p values to show statistical significance. The CI indicates a range of values that is likely to encompass the true value and is expressed as the estimate value ± 1.96 times the standard deviation.
Metformin requires AMPK and lysosomal function to prevent aggregation of polyQ in C. elegans
Caenorhabditis elegans worms expressing 40Q::YFP (40Q) in muscles presented an age-dependent appearance of inclusion bodies32. Culturing 40Q worms with metformin caused a dose-dependent reduction in the number of inclusion bodies in adult worms (OR = 0.878, 95% CI [0.862, 0.895], p < 0.001) (Fig. 1a). To determine whether metformin was acting through the AMPK pathway, we introduced a mutant allele of aak-2/AMPKα, ok524, in 40Q worms and observed that L4 larvae worms showed an enhanced aggregation phenotype (OR = 1.60, 95% CI [1.41, 1.81], p < 0.001) (Fig. 1b, c). Second, growing these worms in the presence of 2 mM metformin blocked the reduction in the number of inclusion bodies in L4 larvae (OR = 1.55, 95% CI [1.29, 1.87], p < 0.001) (Fig. 1b, c), suggesting that AMPK function was required for metformin to reduce aggregation of polyQs in 40Q worms.
To test whether autophagy was involved in the reduction of the number of inclusion bodies produced by metformin, the effect of the drug on 40Q-derived worms either treated or not treated with chloroquine, a drug that prevents lysosome function, was analyzed33. Chloroquine treatment inhibited the ability of metformin to reduce the number of inclusion bodies in L4 larvae (OR = 1.60, 95% CI [1.34, 1.92], p < 0.001) (Fig. 1b, c), suggesting that autophagy was required along with AMPK function to reduce the aggregation of polyQs in C. elegans.
Metformin treatment ameliorates neuronal toxicity in an AMPK- and lysosome-dependent mechanism
Next, tests were performed to determine whether the metformin-induced reduction in the number of mHtt inclusions correlated with a restoration of neuronal functionality. With this aim, a new model of polyQ toxicity in mechanosensory neurons was created (Additional file 1: Fig. S1). This model consists of a transgene that expresses a tandem of 112 glutamines fused with TdTomato in mechanosensory neurons23. This fusion protein produces aggregates, as confirmed by the presence of inclusion bodies in mechanosensory neurons (Additional file 1: Fig. S1b), and induces neuronal toxicity, indicated by compromised mechanosensation in the tail of these transgenic animals (Additional file 1: Fig. S1c). Metformin treatment of these animals induced a clear improvement in the touch response (Fig. 1d), reaching values similar to WT performance (OR = 2.46, 95% CI [1.9, 3.19], p < 0.001), but the improvement in the touch response induced by metformin was reduced in the presence of chloroquine (p = 0.26) (Fig. 1d). In addition, when we used a C. elegans model that lacked the AMPK catalytic subunit (112Q aak-2/AMPKα mutants), the worms exhibited a reduced touch response (OR = 0.36, 95% CI [0.3, 0.5], p < 0.001) (Fig. 1e). More importantly, although metformin treatment showed a tendency to recover this parameter, which could be explained by alternative AMPK-independent actions of metformin, the effect was not statistically significant (p = 0.83) (Fig. 1e). All these results indicated that the beneficial effects of metformin required proper AMPK and lysosomal functions.
Metformin reduces early behavioral defects in a mouse model of HD
We and others have shown that AMPK is a potential druggable target for the treatment of HD9,17,18. Due to the neuroprotective effects of metformin in C. elegans models of polyQ toxicity described above, we set up a preclinical assay (Additional file 1: Fig. S2) using the zQ175 KI mouse model of HD34; these mice carry a humanized exon 1 of HTT containing an ~190 CAG tandem repeat34. Three-month-old heterozygous zQ175 mice and controls were treated with 2 mg/ml metformin as described in the Materials and methods, and a battery of behavioral tests was performed at the beginning and at the end of the treatment period. As some of the earliest deficits observed in HD mice are neuropsychiatric changes, the tail suspension test was implemented to assess depression-related behaviors35,36,37. This test is used to model behavioral despair by measuring immobility time during testing38. Analysis using mixed linear regression models of the generated data identified great evidence of depressive behavior in HD mice compared to that in WT mice (normalized to 100%) at 3 months of age (Estimate = 30.89, 95% CI [5.451, 56.33], p = 0.023) (Fig. 2a, comparison of gray circles, WT, with gray triangles, HD). Three months later, the symptoms were aggravated in untreated HD mice (Fig. 2a, red triangles), in contrast to HD mice treated with metformin, which demonstrated depression-related behavior similar to that in WT animals (Estimate = −51.9, 95% CI [−98.4, −5.4], p = 0.037) (Fig. 2a, comparison of red circles, WT, with red triangles, HD).
To further characterize the effect of metformin on early behavioral changes, we subjected HD and WT mice to two motor tests: the beam balance and rotarod tests, and mixed linear regression models were performed to analyze the data. Untreated HD mice took longer to cross the three types of beams (30, 12, and 5 mm) both at 3 and 6 months of age [(Estimate 30 mm = 2.701, 95% CI [1.3, 4.1], p < 0.001; Estimate 12 mm = 3.29, 95% CI [1.6, 5.0], p < 0.001; Estimate 5 mm = 4.68, 95% CI [2.9, 6.5], p < 0.001)] (Fig. 2b). However, in metformin-treated HD animals, an amelioration of the capacity to cross the 5-mm-wide beam was observed (Estimate = −5.3, CI 95% [−9.3, −1.3], p = 0.014) (Fig. 2b).
Analysis of the rotarod data showed that 3-month-old HD animals did not present any motor impairment compared to their WT littermates (p = 0.24) (Fig. 2c). However, at 6 months of age, untreated HD animals performed worse than the WT groups (Estimate = −25.4, 95% CI [−47.5, −6.4], p < 0.001) (Fig. 2c), suggesting a motor impairment that progressed over time. Again, treatment of the HD mice with metformin reduced motor symptoms to levels similar to those in the WT mice (Estimate = 27, 95% CI [4.3, 55], p < 0.001) (Fig. 2c), demonstrating that metformin slowed the progression of the motor phenotype.
Metformin crosses the blood–brain barrier and induces molecular changes in the brains of treated mice
After behavioral analysis, HD and control mice were euthanized, and brain samples were collected for immunostaining analyses to investigate the effect of metformin in these animals. This study was carried out through analysis of the expression of a battery of well-known markers of HD progression. We chose immunostaining to detect biomarkers because some of these molecules tend to accumulate in specific neurons and, sometimes, in specific subcellular locations. Only immunostaining allows the detection of these markers with specific antibodies, as detection of these markers would be very difficult if the protein of interest is diluted in a preparation from the whole tissue.
First, we investigated whether metformin was able to reach the brains of mice. To do so, we chose to evaluate the levels of pACC, a typical AMPK substrate. Analysis of this species showed that cortex and striatum sections from mouse brains treated with metformin contained higher levels of pACC than those sections from untreated mouse brains (OR = 5, 95% CI [3, 8.6], p < 0.001) and that this difference was independent of the genotype (p = 0.344) (Fig. 3). These results were consistent with previous reports that indicated that metformin was able to cross the blood–brain barrier17,39 and confirmed that the concentration of metformin used in the assay was sufficient to induce molecular changes.
Metformin reduces mHtt aggregation in the brains of HD mice
As zQ175 mice showed mHtt aggregates in the brain, we investigated the effect of metformin on these species. We used mEM48, an antibody against Htt, to explore the presence of insoluble mHtt aggregates and soluble mHtt in the striatal nucleus and cortex, which are the regions especially affected in patients and murine models of HD40. The Immunohistochemical (IHC) results illustrated that in these key areas, there was a substantial accumulation of nuclear mHtt aggregates that was not present in the controls (Fig. 4). However, in metformin-treated HD animals, the accumulation of aggregates was reduced (OR = 0.53, 95% CI [0.36, 0.80], p = 0.024) (Fig. 4), suggesting that metformin may activate some mechanism of aggregate removal, possibly autophagy. Furthermore, we found that the levels of p62 (also assessed by IHC), an autophagy receptor protein that accumulates upon autophagy impairment, were higher in the cortex and striatum of untreated HD animals than in those of controls (OR = 5.4, 95% CI [3.3, 8.8], p < 0.001), but metformin was able to prevent this accumulation (OR = 0.17, 95% CI [0.1, 0.3], p < 0.001]) (Fig. 5), suggesting a recovery of autophagy function.
Metformin prevents the loss of BDNF levels present in HD mice
Striatal neurons in the brain require BDNF for their activity and survival, and this factor protects neurons of the striatum from mHtt-induced toxicity41. Interestingly, this neurotrophic factor is reduced in patients42,43,44 and models of HD, including zQ175 mice45. This observation led to the hypothesis that impaired production of BDNF may contribute to degeneration of neurons in the striatum46. In agreement with previous results45, IHC staining of the cortex and striatum of 6-month-old animals illustrated a remarkable decrease in BDNF expression in HD mice (OR = 0.21, 95% CI [0.01, 0.39], p < 0.001) (Fig. 6). Interestingly, treatment with metformin ameliorated the levels of BDNF in the cortex and striatum of HD mice (OR = 3.63, 95% CI [1.76, 7.49], p < 0.001) (Fig. 6). This increase in BDNF expression may account, at least in part, for the restored neuronal function shown by the behavioral assays of metformin-treated HD mice described above.
Brains from zQ175 mice show signs of inflammation that can be prevented by treatment with metformin
Although HD‐related research is primarily focused on neurons, glial cells are also important because of their critical role in brain function. Astrocytes and microglia directly regulate synaptic communication and the function of the blood–brain barrier47 and are the main actors in the inflammatory response, alterations of which are another hallmark of HD48. In this regard, zQ175 animals have been shown to exhibit signs of inflammation in the nervous system at early stages of disease development49.
Microglial activation in tissue specimens is typically characterized by increased numbers of cells and morphological changes from their normal scanning mode into an immune-activated phenotype. These changes in reactive microglia were investigated using an antibody against IBA1, which is expressed specifically in these cells50. Thus, increases in IBA1 staining most likely represent activated or proliferating microglia51. Figure 7a illustrates IHC staining analyses of the expression levels of IBA1 in the striatum and cortex of control and HD mice at 6 months of age. In the untreated HD mice, microglia were more numerous than in the control mice (OR = 5.2, 95% CI [3.25, 8.33], p < 0.001) (Fig. 7c). In contrast, these features were significantly reduced in HD mice treated with metformin (OR = 0.22, 95% CI [0.12, 0.43], p < 0.001) (Fig. 7c). In parallel to IBA1 staining, we used an antibody targeting GFAP, an intermediate filament that is a marker of reactive astrocytes (Fig. 7b). We observed an increase in the number of reactive astrocytes in the cortex and striatum of untreated HD mice in comparison to those of controls (OR = 2.25, 95% CI [1.53, 3.3], p < 0.001), and metformin treatment reduced the number of reactive astrocytes (OR = 0.57, 95% CI [0.36, 0.925], p = 0.022) (Fig. 7d). These results indicated that metformin was able to reduce the presence of reactive astrocytes and microglia and thus reduce inflammation in these areas of the brain.
Brain areas of HD mice show upregulation of pERK that can be prevented by treatment with metformin
Extracellular signal-regulated MAP kinase (ERK) is at the crossroad of several signaling pathways. ERK is activated by phosphorylation when the cells are subjected to different stress conditions and triggers different signaling pathways that allow the cells to adjust to the environmental conditions. In agreement with previous results52, we found higher levels of pERK1/2 in the cortex of HD mice than in that of control mice (OR = 2.53, 95% CI [1.24, 5.19], p = 0.011) (Fig. 8), indicating that the brain of these mice was subjected to stress conditions (i.e., mHtt accumulation, inflammation, etc.). Interestingly, treatment with metformin resulted in a decrease in the levels of pERK1/2 (OR = 0.28, 95% CI [0.10, 0.76], p = 0.013) (Fig. 8), suggesting that alleviation of stress conditions (toxicity induced by mHtt, inflammation) may result in downregulation of the ERK pathway.
In addition to immunohistochemistry analysis of the different biomarkers, we performed Western blot (WB) experiments to assess whether there were differences in the concentrations of p62, BDNF, IBA1, and GFAP, but no significant differences among groups were found (Supplementary Fig. S6).
Metformin is the most commonly used drug in the treatment of type 2 diabetes53. Due to its massive use worldwide, observational studies have shown that patients chronically taking metformin have unexpected beneficial side effects on aging-related diseases, such as cancer15, nephrotic conditions16, and neurodegenerative diseases (see for a review, Markowicz-Piasecka et al.54). Additionally, activation of AMPK by metformin has been shown to alleviate neuronal impairment in worms expressing polyQs and reduces cell death in precursors of striatal cells stressed by mHtt9. Furthermore, patients with HD comorbid with type 2 diabetes who are taking metformin have been suggested to have better cognitive function than regular HD patients18, strongly indicating that metformin may be a potential drug for HD treatment. Following this rationale, a preclinical assay was performed using the zQ175 mouse model of HD. Notably, heterozygous zQ175 mice, in contrast to other models of HD, show robust reproducible neurodegenerative phenotypes34,55: zQ175 animals show progressive decline in motor function49, cognitive impairment34,49,56, and neuropsychiatric phenotypes56, which are the result of neuronal loss in the striatum. The data presented in this work on untreated zQ175 mice are in agreement with the motor and neuropsychiatric phenotypes described previously in this model. However, in this work, we present strong evidence that the administration of metformin in the early phases of HD (i.e., when animals are 3 months old) alleviates neuropsychiatric and motor phenotypes in zQ175 mice, suggesting that metformin may reduce neuronal toxicity caused by mHtt aggregation in the striatum and cortex of these animals. As the number of CAG repeats in treated and untreated animals was similar (Supplementary Figs. S4, S5 and Table S1), we assumed that the obtained results were due to the effect of metformin and not due to differences in the number of CAG repeats present in each animal.
We investigated several biomarkers to determine the mechanism by which metformin induces functional recovery of behavior in HD mice. First, we determined that metformin was able to reach the brains of treated mice, as judged by the increase in the expression of pACC, a typical AMPK substrate. These results were consistent with previous reports that indicated that metformin was able to cross the blood–brain barrier17,39 and activate AMPK in the brain. Second, staining of mHtt showed that 6-month-old HD mice had substantial nuclear aggregation, in agreement with previous work57. In contrast, metformin treatment reduced the number of aggregates, suggesting that this drug was capable of enhancing a protein clearance pathway. These results were in agreement with those previously reported by Vázquez-Manrique et al.9 showing that activating AMPK by genetic means induced a reduction in mHtt in an in vitro model of HD. The reduction in the levels of mHtt produced by metformin could be due to an enhancement of autophagy, probably mediated by AMPK activation. Furthermore, we show evidence of a decrease in the levels of the autophagy receptor protein p62 in HD mice upon metformin treatment. As this protein accumulates under conditions of reduced autophagy, our results suggest that metformin enhances the autophagy pathway. While this work was under revision, a study was published indicating an alternative mechanism of action of metformin58. According to these authors, metformin reduces the translation rate of mHtt via inhibition of a pathway involving mammalian target of rapamycin (mTOR). With this possibility in mind, we suggest that metformin could decrease mHtt levels either by decreasing its synthesis by an mTOR-dependent pathway or by increasing autophagy through an AMPK-dependent pathway or both. We would like to note that these two mechanisms are not independent because activation of AMPK is well known to also lead to inhibition of the mTOR pathway59.
To gain further insight into the mechanism of action of metformin, two C. elegans models of polyQ toxicity were used to investigate whether AMPK and autophagy could be involved in the beneficial effects of metformin. Through this examination, this drug was found to reduce the aggregation of polyQs in muscle cells and restore function to mechanosensory neurons stressed by polyQs, with these effects dependent on AMPK function. In addition, the beneficial effects of metformin were strongly impaired when lysosome function was inhibited using chloroquine, suggesting that autophagy was necessary for polyQ clearance. These results suggest a potential mechanism of neuroprotection by metformin, in which AMPK activation and lysosomal function play a role.
In addition to mHtt clearance, we report in this work a positive effect of metformin on BDNF levels. Increased BDNF levels are strongly linked to neuronal survival49, and increasing the levels of this neurotrophic factor in models of HD has shown neuroprotective effects60. The results of this study indicate that treatment with metformin partially prevents the reduction in the levels of BDNF characteristic of HD mice, suggesting another possible mechanism of neuroprotection triggered by metformin. In contrast to immunohistochemical analysis of BDNF, WB analysis of this biomarker did not show any significant difference between treated and control mice (Supplementary Fig. S6). A possible reason for the absence of differences between the samples could be the dilution of the abnormal expression of one particular component in one specific area by the rest of the tissue in the whole extracts of the brain regions investigated. The same explanation may apply to the WB analysis of p62, IBA1, and GFAP.
An additional effect of metformin is its prevention of inflammation in the brain. Inflammation is normally an adaptive biological response to pathogen infection and tissue injury that serves to engage the immune system and tissue repair mechanisms. In response to infection or neuronal tissue damage, microglia rapidly alter their morphology and increase phagocytic activity, initiating an innate immune response by secreting various inflammatory molecules, including interleukin (IL-6) and tumor necrosis factor-α (TNFα). When the inciting insult cannot be eradicated, persistent expression of mediators, such as IL-6, IL-8, and TNFα, drive chronic inflammation and can contribute to tissue damage and disease progression (reviewed in Crotti and Glass48). In HD patients, astrocytes and microglia become activated, as shown by the upregulation of GFAP and IBA1, respectively, and the degree of activation correlates with disease47. Microglial activation is known to occur before the first symptoms of the disease become apparent, and increased numbers of GFAP‐positive astrocytes are observed as early as the first pathological stages of HD in patients47. In our study, we observed the same inflammatory response in untreated zQ175 mice (see Fig. 7). The presence of inflammation in HD raises the still unresolved question of whether this process is the response of surrounding cells to a neuron-autonomous degenerative process and/or due to glia-autonomous immune activation resulting from the expression of mutant Htt. In any case, we present evidence that metformin is also able to reduce the activation of astrocytes and microglia, which could reduce the inflammatory response in these HD-treated mice. In addition, we also report a decrease in the levels of pERK1/2 (a biomarker of cellular stress) upon metformin treatment, which is consistent with the neuroprotective effects of the drug.
In this work, we present strong evidence indicating that metformin alleviates neuropsychiatric and motor phenotypes in zQ175 mice, suggesting that metformin may reduce neuronal toxicity in the striatum and cortex of these animals. We also present evidence of a reduction in the levels of mHtt and inflammation and an increase in the levels of BDNF upon metformin treatment, which could be the cause of the neuroprotective properties of this drug. Because metformin has good safety records and is already approved for clinical use, we think that the translation of our results to clinical practice could be straightforward.
The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
Krobitsch, S. & Kazantsev, A. G. Huntington's disease: from molecular basis to therapeutic advances. Int. J. Biochem. Cell Biol. 43, 20–24 (2011).
Ferrante, R. J., Kowall, N. W. & Richardson, E. P. Jr Proliferative and degenerative changes in striatal spiny neurons in Huntington's disease: a combined study using the section-Golgi method and calbindin D28k immunocytochemistry. J. Neurosci. 11, 3877–3887 (1991).
Yamamoto, A., Cremona, M. L. & Rothman, J. E. Autophagy-mediated clearance of huntingtin aggregates triggered by the insulin-signaling pathway. J. Cell Biol. 172, 719–731 (2006).
Ortega, Z. & Lucas, J. J. Ubiquitin-proteasome system involvement in Huntington’s disease. Front. Mol. Neurosci. 7, 77 (2014).
Herrero-Martin, G. et al. TAK1 activates AMPK-dependent cytoprotective autophagy in TRAIL-treated epithelial cells. EMBO J. 28, 677–685 (2009).
Liang, J. et al. The energy sensing LKB1-AMPK pathway regulatesp27(kip1) phosphorylation mediating the decision to enter autophagy or apoptosis. Nat. Cell Biol. 9, 218–224 (2007).
Carling, D., Thornton, C., Woods, A. & Sanders, M. J. AMP-activated protein kinase: new regulation, new roles? Biochem. J. 445, 11–27 (2012).
Hardie, D. G. & Ashford, M. L. AMPK: regulating energy balance at the cellular and whole body levels. Physiology 29, 99–107 (2014).
Vazquez-Manrique, R. P. et al. AMPK activation protects from neuronal dysfunction and vulnerability across nematode, cellular and mouse models of Huntington's disease. Hum. Mol. Genet. 25, 1043–1058 (2015).
Harper, S. Q. et al. RNA interference improves motor and neuropathological abnormalities in a Huntington's disease mouse model. Proc. Natl. Acad. Sci. USA 102, 5820–5825 (2005).
Yamamoto, A., Lucas, J. J. & Hen, R. Reversal of neuropathology and motor dysfunction in a conditional model of Huntington's disease. Cell 101, 57–66 (2000).
Shaw, R. J. et al. The kinase LKB1 mediates glucose homeostasis in liver and therapeutic effects of metformin. Science 310, 1642–1646 (2005).
Zhou, G. et al. Role of AMP-activated protein kinase in mechanism of metformin action. J. Clin. Invest. 108, 1167–1174 (2001).
Witters, L. A. The blooming of the French lilac. J. Clin. Invest. 108, 1105–1107 (2001).
Yokoyama, N. N. et al. When anti-aging studies meet cancer chemoprevention: can anti-aging agent kill two birds with one blow? Curr. Pharm. Rep. 1, 420–433 (2015).
Nasri, H. & Rafieian-Kopaei, M. Metformin and diabetic kidney disease: a mini-review on recent findings. Iran J. Pediatr. 24, 565–568 (2014).
Ma, T. C. et al. Metformin therapy in a transgenic mouse model of Huntington’s disease. Neurosci. Lett. 411, 98–103 (2007).
Hervás, D. et al. Metformin intake associates with better cognitive function in patients with Huntington's disease. PLoS ONE 12, e0179283 (2017).
Lewis, J. A. & Fleming, J. T. Basic culture methods. Methods Cell Biol. 48, 3–29 (1995).
Mello, C. & Fire, A. DNA transformation. Methods Cell Biol. 48, 451–482 (1995).
Walker, D. S. et al. Inositol 1,4,5-trisphosphate signalling regulates the avoidance response to nose touch in Caenorhabditis elegans. PLoS Genet. 5, e1000636 (2009).
Frokjaer-Jensen, C. et al. Single-copy insertion of transgenes in Caenorhabditis elegans. Nat. Genet. 40, 1375–1383 (2008).
Parker, J. A. et al. Expanded polyglutamines in Caenorhabditis elegans cause axonal abnormalities and severe dysfunction of PLM mechanosensory neurons without cell death. Proc. Natl. Acad. Sci. USA 98, 13318–13323 (2001).
Vazquez-Manrique, R. P. et al. The frataxin-encoding operon of Caenorhabditis elegans shows complex structure and regulation. Genomics 89, 392–401 (2007).
Vazquez-Manrique, R. P., Legg, J. C., Olofsson, B., Ly, S. & Baylis, H. A. Improved gene targeting in C. elegans using counter-selection and Flp-mediated marker excision. Genomics 95, 37–46 (2010).
Foretz, M., Guigas, B., Bertrand, L., Pollak, M. & Viollet, B. Metformin: from mechanisms of action to therapies. Cell Metab. 20, 953–966 (2014).
Can, A. et al. The tail suspension test. J. Vis. Exp. 59, e3769 (2012).
Brooks, S. P. & Dunnett, S. B. Tests to assess motor phenotype in mice: a user's guide. Nat. Rev. Neurosci. 10, 519–529 (2009).
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
Ruifrok, A. C. & Johnston, D. A. Quantification of histochemical staining by color deconvolution. Anal. Quant. Cytol. Histol. 23, 291–299 (2001).
Gibson-Corley, K. N., Olivier, A. K. & Meyerholz, D. K. Principles for valid histopathologic scoring in research. Vet. Pathol. 50, 1007–1015 (2013).
Morley, J. F., Brignull, H. R., Weyers, J. J. & Morimoto, R. I. The threshold for polyglutamine-expansion protein aggregation and cellular toxicity is dynamic and influenced by aging in Caenorhabditis elegans. Proc. Natl. Acad. Sci. USA 99, 10417–10422 (2002).
Klionsky, D. J. et al. Guidelines for the use and interpretation of assays for monitoring autophagy. Autophagy 8, 445–544 (2012).
Menalled, L. B. et al. Comprehensive behavioral and molecular characterization of a new knock-in mouse model of Huntington’s disease: zQ175. PLoS ONE 7, e49838 (2012).
Chermat, R., Thierry, B., Mico, J. A., Steru, L. & Simon, P. Adaptation of the tail suspension test to the rat. J. Pharm. 17, 348–350 (1986).
Steru, L. et al. The automated Tail Suspension Test: a computerized device which differentiates psychotropic drugs. Prog. Neuropsychopharmacol. Biol. Psychiatry 11, 659–671 (1987).
Steru, L., Chermat, R., Thierry, B. & Simon, P. The tail suspension test: a new method for screening antidepressants in mice. Psychopharmacology (Berl.) 85, 367–370 (1985).
Cryan, J. F. & Mombereau, C. In search of a depressed mouse: utility of models for studying depression-related behavior in genetically modified mice. Mol. Psychiatry 9, 326–357 (2004).
Labuzek, K. et al. Quantification of metformin by the HPLC method in brain regions, cerebrospinal fluid and plasma of rats treated with lipopolysaccharide. Pharm. Rep. 62, 956–965 (2010).
Han, I., You, Y., Kordower, J. H., Brady, S. T. & Morfini, G. A. Differential vulnerability of neurons in Huntington’s disease: the role of cell type-specific features. J. Neurochem. 113, 1073–1091 (2010).
Saudou, F., Finkbeiner, S., Devys, D. & Greenberg, M. E. Huntingtin acts in the nucleus to induce apoptosis but death does not correlate with the formation of intranuclear inclusions. Cell 95, 55–66 (1998).
Ferrer, I., Goutan, E., Marin, C., Rey, M. J. & Ribalta, T. Brain-derived neurotrophic factor in Huntington disease. Brain Res. 866, 257–261 (2000).
Zuccato, C. et al. Loss of huntingtin-mediated BDNF gene transcription in Huntington's disease. Science 293, 493–498 (2001).
Zuccato, C. et al. Systematic assessment of BDNF and its receptor levels in human cortices affected by Huntington's disease. Brain Pathol. 18, 225–238 (2008).
Ma, Q., Yang, J., Li, T., Milner, T. A. & Hempstead, B. L. Selective reduction of striatal mature BDNF without induction of proBDNF in the zQ175 mouse model of Huntington's disease. Neurobiol. Dis. 82, 466–477 (2015).
Zuccato, C., Valenza, M. & Cattaneo, E. Molecular mechanisms and potential therapeutical targets in Huntington’s disease. Physiol. Rev. 90, 905–981 (2010).
Jansen, A. H. et al. Frequency of nuclear mutant huntingtin inclusion formation in neurons and glia is cell-type-specific. Glia 65, 50–61 (2017).
Crotti, A. & Glass, C. K. The choreography of neuroinflammation in Huntington’s disease. Trends Immunol. 36, 364–373 (2015).
Peng, Q. et al. Characterization of behavioral, neuropathological, brain metabolic and key molecular changes in zQ175 knock-in mouse model of Huntington’s disease. PLoS ONE 11, e0148839 (2016).
Imai, Y., Ibata, I., Ito, D., Ohsawa, K. & Kohsaka, S. A novel gene iba1 in the major histocompatibility complex class III region encoding an EF hand protein expressed in a monocytic lineage. Biochem. Biophys. Res. Commun. 224, 855–862 (1996).
Simmons, D. A. et al. Ferritin accumulation in dystrophic microglia is an early event in the development of Huntington's disease. Glia 55, 1074–1084 (2007).
Bowles, K. R. & Jones, L. Kinase signalling in Huntington’s disease. J. Huntingt. Dis. 3, 89–123 (2014).
Winder, W. W. & Hardie, D. G. AMP-activated protein kinase, a metabolic master switch: possible roles in type 2 diabetes. Am. J. Physiol. 277, E1–E10 (1999).
Markowicz-Piasecka, M. et al. Metformin—a Future Therapy For Neurodegenerative Diseases. Pharm. Res. 34, 2614–2627 (2017).
Heikkinen, T. et al. Characterization of neurophysiological and behavioral changes, MRI brain volumetry and 1H MRS in zQ175 knock-in mouse model of Huntington's disease. PLoS ONE 7, e50717 (2012).
Southwell, A. L. et al. An enhanced Q175 knock-in mouse model of Huntington disease with higher mutant huntingtin levels and accelerated disease phenotypes. Hum. Mol. Genet. 25, 3654–3675 (2016).
Carty, N. et al. Characterization of HTT inclusion size, location, and timing in the zQ175 mouse model of Huntington's disease: an in vivo high-content imaging study. PLoS ONE 10, e0123527 (2015).
Arnoux, I. et al. Metformin reverses early cortical network dysfunction and behavior changes in Huntington’s disease. Elife 7, e38744 (2018).
Lin, S. C. & Hardie, D. G. AMPK: sensing glucose as well as cellular energy status. Cell Metab. 27, 299–313 (2018).
Giampa, C. et al. Systemic delivery of recombinant brain derived neurotrophic factor (BDNF) in the R6/2 mouse model of Huntington’s disease. PLoS ONE 8, e64037 (2013).
Brenner, S. The genetics of Caenorhabditis elegans. Genetics 77, 71–94 (1974).
Apfeld, J., O'Connor, G., McDonagh, T., DiStefano, P. S. & Curtis, R. The AMP-activated protein kinase AAK-2 links energy levels and insulin-like signals to lifespan in C. elegans. Genes Dev. 18, 3004–3009 (2004).
We thank the CGC (funded by NIH Office of Research Infrastructure Programs; ref: P40 OD010440) for worm strains, the CHDI Foundation for the gift of the zQ175 mice, and the Microscopy Unit of IIS-La Fe for their kind help. We also thank David Hervás and Victoria Fornés for their critical comments on the statistical analysis of the paper. R.P.V.-M. holds a “Miguel Servet” fellowship (Ref: CPII16/00004) funded by the Instituto de Salud Carlos III (ISCIII, Madrid, Spain) and by Social European Funds and grants from the ISCIII (PI14/00949 and PI17/00011) and Fundació Telemarató de la TV3 (ref: 559), which covered the work of A.S. and M.D.S. The funds from the ISCIII are partially supported by the European Regional Development Fund. RPVM is also a Marie Curie fellow (CIG322034, EU). This work has been partially funded by a grant from the CIBERER (ACCI2016) to R.P.V.-M., J.M.M., and P.S., which covered the work of M.A.G.-G. P.S. holds a grant from Generalitat Valenciana (PrometeoII/2014/029). We thank the Genetics Unit of the Hospital Universitario y Politécnico La Fe, especially Teresa Jaijo, Elena Aller, and Silvestre Oltra, for their kind help with the genotyping of the CAG repeats in the mice.
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Sanchis, A., García-Gimeno, M.A., Cañada-Martínez, A.J. et al. Metformin treatment reduces motor and neuropsychiatric phenotypes in the zQ175 mouse model of Huntington disease. Exp Mol Med 51, 1–16 (2019). https://doi.org/10.1038/s12276-019-0264-9
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