Behavioral, Hormonal, Inflammatory, and Metabolic Effects Associated with FGF21-Pathway Activation in an ALS Mouse Model

Delaye, J. B.; Lanznaster, D.; Veyrat-Durebex, C.; Fontaine, A.; Bacle, G.; Lefevre, A.; Hergesheimer, R.; Lecron, J. C.; Vourc’h, P.; Andres, C. R.; Maillot, F.; Corcia, P.; Emond, P.; Blasco, H.

doi:10.1007/s13311-020-00933-3

Behavioral, Hormonal, Inflammatory, and Metabolic Effects Associated with FGF21-Pathway Activation in an ALS Mouse Model

Original Article
Published: 06 October 2020

Volume 18, pages 297–308, (2021)
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Neurotherapeutics

Behavioral, Hormonal, Inflammatory, and Metabolic Effects Associated with FGF21-Pathway Activation in an ALS Mouse Model

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J. B. Delaye¹,
D. Lanznaster²,
C. Veyrat-Durebex^1,2,
A. Fontaine³,
G. Bacle^2,4,
A. Lefevre²,
R. Hergesheimer²,
J. C. Lecron⁵,
P. Vourc’h^1,2,
C. R. Andres^1,2,
F. Maillot^2,6,
P. Corcia^2,7,
P. Emond^2,8 &
…
H. Blasco^1,2

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Abstract

In amyotrophic lateral sclerosis (ALS), motor neuron degeneration occurs simultaneously with systemic metabolic dysfunction and neuro-inflammation. The fibroblast growth factor 21 (FGF21) plays an important role in the regulation of both phenomena and is a major hormone of energetic homeostasis. In this study, we aimed to determine the relevance of FGF21 pathway stimulation in a male mouse model of ALS (mutated SOD1-G93A mice) by using a pharmacological agonist of FGF21, R1Mab1. Mice (SOD1-WT and mutant SOD1-G93A) were treated with R1Mab1 or vehicle. Longitudinal data about clinical status (motor function, body weight) and biological parameters (including hormonal, immunological, and metabolomics profiles) were collected from the first symptoms to euthanasia at week 20. Multivariate models were performed to identify the main parameters associated with R1Mab1 treatment and to link them with clinical status, and metabolic pathways involving the discriminant metabolites were also determined. A beneficial clinical effect of R1Mab1 was revealed on slow rotarod (p = 0.032), despite a significant decrease in body weight of ALS mice (p < 0.001). We observed a decrease in serum TNF-α, MCP-1, and insulin levels (p = 0.0059, p = 0.003, and p = 0.01, respectively). At 16 weeks, metabolomics analyses revealed a clear discrimination (CV-ANOVA = 0.0086) according to the treatment and the most discriminant pathways, including sphingolipid metabolism, butanoate metabolism, pantothenate and CoA biosynthesis, and the metabolism of amino acids like tyrosine, arginine, proline, glycine, serine, alanine, aspartate, and glutamate. Mice treated with R1Mab1 had mildly higher performance on slow rotarod despite a decrease on body weight and could be linked with the anti-inflammatory effect of R1Mab1. These results indicate that FGF21 pathway is an interesting target in ALS, with a slight improvement in motor function combined with metabolic and anti-inflammatory effects.

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Introduction

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder characterized by the selective death of motor neurons, leading to the patient’s death 2 to 5 years after diagnosis [1]. Metabolic disturbances play an important role in different tissues, especially muscle and brain, in this disease [2]. Despite the progress made in the understanding of the pathophysiological mechanisms involved in ALS, the interactions among these pathways are not completely known. As no study has enabled the successful determination of a treatment, except for riluzole [3, 4] or edaravone [5], the research in drug development remains a priority for ALS.

Among the main pathophysiological mechanisms involved in ALS, neuro-inflammation and metabolic alterations have been thoroughly described, and several studies show a link between both mechanisms. Indeed, the signaling cascades activated by inflammatory cytokines can modulate insulin signaling, particularly in adipose tissue, liver, skeletal muscle, and the central nervous system [6, 7]. The fibroblast growth factor 21 (FGF21) plays a key role in energy metabolism and inflammatory response. FGF21 may act as an autocrine, paracrine, or endocrine molecule in the insulin-sensitizing effects. In this context and motivated by the necessity of targeting multiple mechanisms at once, we hypothesized that modulation of the FGF21 pathway could represent an interesting strategy for ALS management. We used R1Mab1 (Genentech USA, San Francisco, CA), an IgG humanized agonistic antibody directed to the D3 domain of the FGF receptor 1 (FGFR1), to induce attenuation of the metabolic disturbance and the pro-inflammatory effects observed in ALS.

Accordingly, we aimed to clarify whether activation of FGFR1 may be beneficial to ALS patients, especially via inflammatory and metabolic protective mechanisms. Thus, the effects of the FGF21 pathway were determined by its stimulation in an ALS mouse model (SOD1-G93A transgenic mice mSOD1) using a FGFR1 antibody (R1Mab1). Metabolomics and hormonal and immunological findings as well as evolution of motor symptoms in mSOD1 mice treated with R1Mab1 were analyzed. Beyond the determination of the putative protective effect of R1Mab1, we thoroughly assessed the mechanism of action of a therapeutic agent targeting two mechanisms of utmost importance in the context of ALS.

Materials and Methods

Animals

Twenty-four SOD1-G93A (mSOD1) male mice, on a C57Bl/6J genetic background, and 24 male SOD1-wild-type C57Bl/6J (WT) controls were acquired from Charles Rivers Laboratory (Burlington, CA; strains #004435 and #000664, respectively). They were housed in groups of 3–5 per cage in a virus-free barrier facility under a 12-h light/dark cycle, with ad libitum access to food and water.

All animal experiments followed current European Union regulations (Directive 2010/63/EU), as recommended by the regional ethics committee for animal experimentation (CEEA Val de Loire decision #19).

R1Mab1 Treatment

R1Mab1, IgG humanized monoclonal antibody with agonistic activity on the fibroblast growth factor receptor 1 (FGFR1), was graciously provided by Genentech (San Francisco, CA) under a Material Transfer Agreement. A loading dose of 3 mg/kg of body weight was first injected intraperitoneally (i.p.) into 12 mSOD1 and 14 WT mice 12 weeks after birth, followed by 1 injection of 0.5 mg/kg at 16 weeks after birth. 12 mSOD1 and 10 WT control mice received phosphate buffer saline (PBS) following the same schedule of treatment. The administration and sample collection protocol are shown on Fig. 1.

Sample Collection

Submandibular collection of blood (150-275 μL or 11 mL/kg body mass) was performed 8, 12, 16, and 20 weeks after birth, without the use of anesthesia. Mice were euthanized 20 weeks after birth by cervical dislocation.

Evaluation of Symptom Progression

Disease progression was assessed by monitoring body weight and locomotor performance. From the age of 7 weeks to the time of euthanasia, each animal in all experimental groups was weighed twice per week. The rotarod test was used to assess mouse locomotor performance once per week from 8 weeks of age to 13 weeks and twice per week from 13 weeks of age until week 20. Testing began by placing the mice on a rod (diameter = 3.5 cm) rotating at a constant speed of 25 rpm (fast rotarod). The time taken before the mice fell off the rod was recorded and used as a measure of motor function (test limited to 5 min maximum). Three trials were performed, and the longest time spent on the rod was recorded. From the 18th week on, another attempt was made at a speed of 15 rpm for 3 min (slow rotarod). The age of the mice at the first failure in this last attempt was also recorded and used as another locomotor performance outcome.

Hormone and Cytokine Assessment

Serum samples (10 μL) collected from mice at 8, 12, 16, and 20 weeks of age were collected to measure IL-6, insulin, leptin, MCP-1, resistin, and TNF-α using a Milliplex MAP magnetic bead assay (Millipore, Billerica, MA) and Milliplex Analyzer (Luminex, Austin, TX). The detection limit was 3.2 pg/mL for each analyte after application of the manufacturer’s protocol. Data were analyzed using Milliplex Analyst 5.1 software.

Metabolomics Analysis

LC-HRMS analysis was performed as previously described [8, 9] after an extraction with 100 μL of methanol and using a UPLC Ultimate WPS-3000 system (Dionex, Germany) coupled to a Q-Exactive mass spectrometer (Thermo Fisher Scientific, Bremen, Germany) and operated in positive (ESI+) and negative (ESI−) electrospray ionization modes (analysis for each ionization mode). Liquid chromatography was performed using a Phenomenex Kinetex 1.7 μm XB – C18 column (100 mm × 2.10 mm) maintained at 40 °C. Two mobile phase gradients (preceded by an equilibrium time of 3 min) were used. The gradient operated at a flow rate of 0.4 mL/min over a runtime of 26.5 min. Analyses were also performed on a hydrophilic interaction liquid chromatography (HILIC) column (100 mm × 2.10 mm, 100 Å). During the full-scan acquisition, which ranged from 58 to 870 m/z, the instrument operated at 70,000 resolution (m/z = 200). To validate the preanalytical and analytical steps of the experiment, quality control (QC) samples (mix of 15 samples analyzed) were analyzed as follows: coefficients of variation [CV% = (the standard deviation/mean) × 100] were calculated from all metabolites data. Metabolites having a CV in QCs > 30% were excluded from the final dataset. QCs were analyzed at the beginning of the run, every 10 samples and at the end of the run.

Accordingly, the final dataset contained only metabolites presenting low preanalytical and analytical variabilities.

For this targeted analysis, a library of standard compounds (Mass Spectroscopy Metabolite Library (MSML®) of standards, IROA Technologies™) was analyzed. The identity of each metabolite was characterized according to several criteria: 1) the retention time of the detected metabolite must be within ± 20 s of the standard reference, (2) the exact measured of molecular mass of the metabolite must be within a range of 10 ppm around the known molecular mass of the reference compound, and (3) the isotopic ratios of the metabolite must correspond to the standard reference. The signal value was calculated using Xcalibur® software (Thermo Fisher Scientific, San Jose, CA) by integrating the chromatographic peak area corresponding to the selected metabolite.

Gene Expression Analysis

Total RNA was extracted using Trizol from muscle samples (R1Mab1 mSOD1 n = 5; vehicle-treated mSOD1 n = 5) obtained at week 20 and then purified with DirectZol kit (Takara, reference R2052). One microgram of RNA was used to generate cDNA using a PrimeScript RT reagent kit (Takara, reference RR037A). β-Actin gene was used as reference gene. PCR amplifications were done in duplicates using a Sybrgreen Takion kit (Eurogentec reference UE-NSMT-B0701) and a LightCycler480 (Roche). Primers used for quantitative real-time PCR of genes including uncoupling protein 1 (UCP-1), peroxisome proliferator activated receptor α (PPARα), and PPARγ were based on that previously described [10] and are listed in Table S1. Data were normalized to the reference gene and to the control according to the 2−∆∆Ct method with Excel (Microsoft, Redmond, WA). Reverse transcriptase control, complementary DNA control, and positive PCR control were within the accepted range.

Statistical Analysis

Clinical and Biological Data

Body weight data were analyzed as the relative variation in body weight at each time and using the weight at the beginning of treatment (week 12) as the reference.

For each continuous variable (clinical, cytokine, and hormone findings), comparisons between subgroups were performed by Wilcoxon signed-rank test when the Student’s t test was not applicable.

The effect of time on continuous variable was analyzed using Friedman test when ANOVA was not applicable and was also evaluated between subgroups using 2-way ANOVA.

The significance threshold (p value) was set at 0.05 and was corrected for multiple tests when necessary with the Benjamini–Hochberg procedure.

Metabolomics Data

Metabolomics data were analyzed using multivariate analysis by Principal Component Analysis (PCA) and Orthogonal Partial Last Square Discriminant Analysis (OPLS-DA), with Simca P+ version 13.0 (Umetrics, Umea, Sweden) to 1) evaluate metabolic modification in mSOD1 mice treated with R1Mab1 versus placebo; 2) identify the metabolic modifications associated with R1Mab1 and specific to ALS conditions (after comparison with WT mice); and 3) determine the metabolites linked to the clinical outcome of treated mSOD1 mice.

PCA and OPLS-DA were performed for each time point (weeks 12, 16, and 20). The significance of the OPLS-DA model was evaluated by the CV-ANOVA test (based on F test to determine whether the variance of cross-validated residuals is significantly smaller than the variation of each Yi near the mean value of Y [11], with a significant threshold set at 0.05. The Q2Ycum and the R2Ycum values correspond to the goodness of prediction and the goodness of fit, respectively. We considered a model with Q2Y cum > 0.4 to be a sufficiently predictive model. The models were cross-validated by withholding one-seventh of the samples in seven simulations. The most relevant variables were determined from the variable importance for the projection (VIP) and loading values scaled as correlation coefficients (pcorr). VIP values represent the importance of the variable for the OPLS-DA models, and loadings characterize the relation between Y and X variables; they were considered relevant if VIP > 1 and pcorr > 0.4.

Venn diagrams were generated to highlight common and distinct metabolites identified from the multivariate models (including comparisons between mice groups).

Pathway Analysis

Pathway impact represents a combination of the centrality and pathway enrichment results; higher impact values represent the relative importance of the pathway, relative to all pathways included in the analysis. Metabolic pathways are represented as a network of chemical compounds with metabolites as nodes and reactions as edges. Major criteria are used to perform an informative analysis regarding the quality of pathway data. These data were downloaded from the KEGG database [12]. Chemical compounds and pathway topology information were obtained from the KEGG graph package [13], and the current library contains 874 metabolic pathways from mice.

The KEGG pathway database (http://www.genome.jp/kegg/pathway.html) was used with the Metaboanalyst tool to explore the highlighted metabolic pathways [Full size image

Moreover, we observed a trend to an upregulation of PPARγ in mSOD1 treated with R1Mab1 (n = 5) versus vehicle-treated mSOD1 mice (n = 5) (p = 0.052) (Fig. 9).

No difference was found for PPARα mRNA between both groups.

Discussion

The major findings of this study are 1) the mild beneficial effect of the R1Mab1 on motor performance, despite the weight loss of mSOD1 mice treated with R1Mab1; 2) the potential anti-inflammatory effect of this therapy; and 3) the characterization of some metabolic changes due to FGF21 agonist treatment specifically in ALS.

Deleterious Effect of R1Mab1 on Body Weight but Mild Beneficial Effect of R1Mab1 on Motor Performance

The choice of starting the treatment at 12 weeks is based on the age of disease onset [15], and the initial dose was based on the protocol described in previous studies [16, 17]. As for many therapeutic antibodies, we used a loading dose then a maintenance dose to respect the pharmacokinetics parameters. The delay of 4 weeks to repeat the administration was determined from the experimental results published in the study of Wu et al., 2013 [17]. The onset of weight loss occurred immediately in all treated mice after the administration of R1Mab1 and was higher in mSOD1 mice. Previous studies targeting obesity and insulin resistance reported a similar effect of FGF21 therapy on body weight [18], and this weight loss was expected. However, we decided to lower the maintenance dose to avoid the fast deterioration of the clinical status, which could be harmful in this mouse model already characterized by weight loss. One of the major findings of this study is the slight deceleration in the decline of motor performance despite significant weight loss, which is usually reported as a marker of poor prognosis [19]. This discrepancy could be explained in part by the consumption of fat mass with a preservation of muscle mass.

FGF21 is expressed in brown adipose tissue and has a significant positive correlation with uncoupling protein 1 (UCP-1) expression [20]. As a result, this elicits thermogenic activation and stimulates browning of white adipose tissue by inducing the expression of UCP-1 leading to an increase of energy expenditure [21]. This upregulation of UCP-1 should be protective against oxidative stress but could also induce deleterious muscle and metabolic effects [22, 23], as illustrated by a deleterious effect on body weight in our work.

Multiple mechanisms have been implicated in the degeneration of skeletal muscle in ALS [24], including lipid homeostasis such as peroxisome proliferator activated receptor (PPAR) signaling [25]. The mild beneficial effect on motor performance may be the enhancement of mitochondrial oxidative capacity and PPARγ activity by the FGF21 [26], combined with the fact that FGF21 also has been proven as a myokine expressed and released by skeletal muscle cells to promote the formation of myofibers [27]. Taken together, these previous studies lead us to hypothesize that the deleterious effects of weight loss are offset by better energy production and preservation of muscle mass.

Beneficial Effect of R1Mab1 on Inflammatory State

R1Mab1 seems to have a significant effect on inflammation, which was noticeable via a reduction in TNF-α and MCP-1. TNF-α is a major proinflammatory cytokine. With regard to ALS, increased TNF-α levels have been found in CSF and blood from ALS patients [28], but these results were controversial [29].

MCP-1, which is also known as chemokine ligand 2 (CCL2), is considered to be a proinflammatory chemokine and believed to exert a detrimental effect by activating the C–C chemokine receptor type 2 (CCR2) in the inflammatory process. The agonist therapy of the FGF21 pathway is widely studied to treat non-alcoholic steatohepatitis (NASH) and dysmetabolic syndrome through enhancing Nrf2-mediated antioxidant capacity and suppressing the NF-κB signaling pathway [30].

Our results suggest that activation of the FGF21 pathway in this ALS mouse model is associated to an effective anti-inflammatory effect related to the decrease in inflammatory cytokines, such as TNF-α and MCP-1 in mice.

Effect on Metabolism

The use of mass spectrometry in this study extended the breadth of analyzed metabolites and strengthened the results by using longitudinal sampling. Here, we show that the FGF21 pathway does appear to play a different role in the perturbations of the metabolome that occur in mSOD1 or in wild-type mice.

R1Mab1-treated mice shared common highlighted pathways including the synthesis and degradation of ketone bodies (acetoacetate) and a decrease of the insulin concentration, consistent with the metabolic functions of the FGF 21 [31]. However, mSOD1 mice seem to be more sensitive to R1Mab1 with many highlighted pathways including sphingolipid metabolism, butanoate metabolism, pantothenate and CoA biosynthesis, and the metabolism of amino acids like tyrosine, arginine, proline, glycine, serine, alanine, aspartate, and glutamate.

In ALS, an impairment of energy metabolism is unanimously recognized [2], including defective energy production [32] and hypermetabolism that is a deleterious prognostic factor [33]. In our work, the use of R1Mab1, who activates the FGF21 pathway involving whole-body energy balance [34], highlighted a strong effect on ketone bodies (KBs), in accordance with a previous study using R1Mab1 [16]. Previous studies working on SOD-G93A showed improvements obtained by KB-based treatments [35, 36].

In this work, the effect on amino acid metabolism was especially noticeable on serine and glycine. Both are biosynthetically linked and are crucial to one-carbon replenishment metabolism and play an important role in the cellular redox balance in close connection with the folate and methionine cycles. These roles are important, and evidences exist between oxidative stress, mitochondrial damage, and ALS [37]. In anabolic pathways, the serine biosynthetic pathway represents a turning point in glucose conversion [38]. In mitochondria, glycine can support heme biosynthesis and sustains oxidative phosphorylation [39]. Unfortunately, branched-chain amino acids which have been widely described in ALS [40,41,42] could not be analyzed in this study, because of a CV in QCs > 30% and were excluded from the final dataset.

Despite a large number of available metabolites, we observed a lack of some compounds of interest including free fatty acids or cholesterol, to analyze lipid metabolism reported as deeply involved in ALS pathophysiology [43]. As the FGF21 pathway was described to act on lipid metabolism with an increase of lipolysis in adipose tissue [20] and fatty acid utilization in skeletal muscle [44], we suggest that lipid metabolism merits exploration by a specific lipidomics approach. To complete this work, a focus on mitochondrial activity and quantification of reactive oxygen species also should be planned [45], as both the FGF21 signaling may enhance mitochondrial oxidative capacity by the activation of AMPK-Sirt1-PGC-1α axis [46] and the alteration of PGC-1α in ALS [47] could to contribute to neuronal protection [48].

Despite weight loss, the moderate improvement in rotarod could be partly explained by the enhancement of the inflammatory and energy homeostatic state related to the FGF21 pathway, and taken together, these metabolomics strategies allow to suggest putative pathways that may explain a protective effect of this therapeutic for ALS [49].

Conclusion

To our knowledge, this study is the first in evaluating by omics approaches a therapeutic molecule targeting two different factors of pathophysiological pathways in ALS. This was characterized by a slight deceleration in disease progression with an improvement of motor performance, despite significant weight loss in treated male mice. This pharmacometabolomic approach showed that R1Mab1 treatment was associated to a significant anti-inflammatory and metabolic effect such as a modification of amino acid and energetic metabolism. The specific effect of metabolism modification on clinical evolution must be explored to plan nutritional management downstream of R1Mab1 therapy. This strategy could be promising by 1) increasing the benefit in metabolism modification and maintaining the observed protective effect on inflammation or 2) compensating for the deleterious effect of metabolism modification while sustaining the observed protective effect on inflammation.

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Acknowledgments

The authors would especially like to thank Adrianna Delwail for her technical support and the Fondation Brou de Laurières for their support of this project. The authors also thank Genentech for providing graciously R1Mab1 antibody.

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Authors and Affiliations

Laboratoire de Biochimie et de Biologie Moléculaire, Centre Hospitalier Régional Universitaire de Tours, 2 Bd Tonnellé, 37044, Tours Cedex, France
J. B. Delaye, C. Veyrat-Durebex, P. Vourc’h, C. R. Andres & H. Blasco
Unité mixte de recherche 1253, iBrain, University of Tours, Inserm, 37044, Tours, France
D. Lanznaster, C. Veyrat-Durebex, G. Bacle, A. Lefevre, R. Hergesheimer, P. Vourc’h, C. R. Andres, F. Maillot, P. Corcia, P. Emond & H. Blasco
Service d’anatomie et cytologie pathologique, Centre Hospitalier Régional Universitaire de Tours, hôpital Bretonneau, 37044, Tours, France
A. Fontaine
Service de chirurgie orthopédique, Centre Hospitalier Régional Universitaire de Tours, hôpital Trousseau, 37044, Tours, France
G. Bacle
Laboratoire Inflammation, Tissus Epithéliaux et Cytokines Université de Poitiers Equipe d’acceuil 4331, 86073, Poitiers, France
J. C. Lecron
Service de médecine interne, Centre Hospitalier Régional Universitaire de Tours, 37044, Tours, France
F. Maillot
Centre SLA, Service de Neurologie, Centre Hospitalier Régional Universitaire de Tours, 37044, Tours, France
P. Corcia
Service de Médecine Nucléaire in vitro, Centre Hospitalier Régional Universitaire de Tours, 37044, Tours, France
P. Emond

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J. B. Delaye
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D. Lanznaster
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C. Veyrat-Durebex
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A. Fontaine
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G. Bacle
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A. Lefevre
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R. Hergesheimer
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J. C. Lecron
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P. Vourc’h
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C. R. Andres
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F. Maillot
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P. Corcia
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P. Emond
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H. Blasco
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Delaye, J.B., Lanznaster, D., Veyrat-Durebex, C. et al. Behavioral, Hormonal, Inflammatory, and Metabolic Effects Associated with FGF21-Pathway Activation in an ALS Mouse Model. Neurotherapeutics 18, 297–308 (2021). https://doi.org/10.1007/s13311-020-00933-3

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Accepted: 15 September 2020
Published: 06 October 2020
Issue Date: January 2021
DOI: https://doi.org/10.1007/s13311-020-00933-3

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Behavioral, Hormonal, Inflammatory, and Metabolic Effects Associated with FGF21-Pathway Activation in an ALS Mouse Model

Abstract

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Energy metabolism in ALS: an underappreciated opportunity?

Leptin haploinsufficiency exerts sex-dependent partial protection in SOD1G93A mice by reducing inflammatory pathways in the adipose tissue

Nutritional and metabolic factors in amyotrophic lateral sclerosis

Introduction

Materials and Methods

Animals

R1Mab1 Treatment

Sample Collection

Evaluation of Symptom Progression

Hormone and Cytokine Assessment

Metabolomics Analysis

Gene Expression Analysis

Statistical Analysis

Clinical and Biological Data

Metabolomics Data

Pathway Analysis

Discussion

Deleterious Effect of R1Mab1 on Body Weight but Mild Beneficial Effect of R1Mab1 on Motor Performance

Beneficial Effect of R1Mab1 on Inflammatory State

Effect on Metabolism

Conclusion

References

Acknowledgments

Author information

Authors and Affiliations

Corresponding author

Additional information

Publisher’s Note

Electronic Supplementary Material

ESM 1

ESM 2

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About this article

Cite this article

Keywords

Navigation

Behavioral, Hormonal, Inflammatory, and Metabolic Effects Associated with FGF21-Pathway Activation in an ALS Mouse Model

Abstract

Similar content being viewed by others

Energy metabolism in ALS: an underappreciated opportunity?

Leptin haploinsufficiency exerts sex-dependent partial protection in SOD1G93A mice by reducing inflammatory pathways in the adipose tissue

Nutritional and metabolic factors in amyotrophic lateral sclerosis

Introduction

Materials and Methods

Animals

R1Mab1 Treatment

Sample Collection

Evaluation of Symptom Progression

Hormone and Cytokine Assessment

Metabolomics Analysis

Gene Expression Analysis

Statistical Analysis

Clinical and Biological Data

Metabolomics Data

Pathway Analysis

Discussion

Deleterious Effect of R1Mab1 on Body Weight but Mild Beneficial Effect of R1Mab1 on Motor Performance

Beneficial Effect of R1Mab1 on Inflammatory State

Effect on Metabolism

Conclusion

References

Acknowledgments

Author information

Authors and Affiliations

Corresponding author

Additional information

Publisher’s Note

Electronic Supplementary Material

ESM 1

ESM 2

Rights and permissions

About this article

Cite this article

Share this article

Keywords

Search

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