Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleResearch Article: New Research, Disorders of the Nervous System

Gordon Holmes Syndrome Model Mice Exhibit Alterations in Microglia, Age, and Sex-Specific Disruptions in Cognitive and Proprioceptive Function

Arlene J. George, Wei Wei, Dhanya N. Pyaram, Morgan Gomez, Nitheyaa Shree, Jayashree Kadirvelu, Hannah Lail, Desiree Wanders, Anne Z. Murphy and Angela M. Mabb
eNeuro 27 December 2023, 11 (1) ENEURO.0074-23.2023; https://doi.org/10.1523/ENEURO.0074-23.2023
Arlene J. George
1Neuroscience Institute, Georgia State University, Atlanta 30302, Georgia
2Center for Behavioral Neuroscience, Georgia State University, Atlanta 30303, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wei Wei
1Neuroscience Institute, Georgia State University, Atlanta 30302, Georgia
2Center for Behavioral Neuroscience, Georgia State University, Atlanta 30303, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dhanya N. Pyaram
1Neuroscience Institute, Georgia State University, Atlanta 30302, Georgia
2Center for Behavioral Neuroscience, Georgia State University, Atlanta 30303, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Morgan Gomez
1Neuroscience Institute, Georgia State University, Atlanta 30302, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nitheyaa Shree
1Neuroscience Institute, Georgia State University, Atlanta 30302, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nitheyaa Shree
Jayashree Kadirvelu
1Neuroscience Institute, Georgia State University, Atlanta 30302, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hannah Lail
3Department of Nutrition, Georgia State University, Atlanta 30303, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Desiree Wanders
3Department of Nutrition, Georgia State University, Atlanta 30303, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anne Z. Murphy
1Neuroscience Institute, Georgia State University, Atlanta 30302, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Anne Z. Murphy
Angela M. Mabb
1Neuroscience Institute, Georgia State University, Atlanta 30302, Georgia
2Center for Behavioral Neuroscience, Georgia State University, Atlanta 30303, Georgia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Angela M. Mabb
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Extended Data
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Neuromuscular and motor functions are unaffected in adult and middle-aged Rnf216 KO mice. A, Top, Representative Western blots for RNF216 in male and female Rnf216+/+ (WT) and Rnf216−/− (KO) mice. Bottom, RNF216 protein levels in WT and KO mice. RNF216 values were normalized to ACTIN. For the hippocampus, t(14) = 3.583, **p = 0.0030; cortex, t(14) = 3.676, **p = 0.0025; and cerebellum, t(14) = 4.337, ***p = 0.0007. Unpaired t test. N = 4 per genotype/sex for each brain region. Data are represented as box and whisker plots. B, Behavior battery timeline for adults (P60; top) and middle-aged (P365) mice (bottom). C, No differences in righting reflex in KO mice. FTime(1,96) = 210.8, ****p < 0.0001; FGenotype(1,96) = 1.943, p = 0.1666; FTime*Genotype(1,96) = 2.261, p = 0.1359. Two-way ANOVA. N = 49 mice per genotype. Data are represented as a violin plot. D, Left, Average peak force of grip strength for adult mice. t(40) = 1.684, p = 0.0999. Middle, Total distance traveled in adult mice in an open field. t(40) = 0.7746, p = 0.4431. Unpaired t test. N = 20 for WT and N = 23 for KO. Right, Total rearing movements in adult in an open field. FSex(1,38) = 23.80, ****p < 0.0001; FGenotype(1,38) = 0.004722, p = 0.9456; FSex*Genotype(1,38) = 1.721, p = 0.1974. Post hoc: WT-Males vs WT-Females, ***p = 0.0007; WT-Males vs KO-Females, **p = 0.0067; WT-Females vs KO-Males, **p = 0.0078. Two-way ANOVA with Tukey’s multiple comparisons. N = 10–12 mice per sex/genotype. Data are represented as box and whisker plots. E, Left, Average peak force of grip strength in middle-aged mice t(31) = 0.7981, p = 0.4309. Middle, Total distance traveled in middle-aged mice in an open field. t(31) = 2.081, *p = 0.0457. Unpaired t test. N = 17 for WT and N = 16 for KO. Right, Total rearing movements in adult in an open field. FSex(1,29) = 0.5386, p = 0.4689; FGenotype(1,29) = 0.05047, *p = 0.8238; FSex*Genotype(1,29) = 1.199, p = 0.2826. Two-way ANOVA. N = 7–9 mice per genotype/sex. Data are represented as box and whisker plots. F, No genotypic differences in adult male and female KO mice in latency to fall off the rotating rod (left), latency to fall off the rotating rod for each trial on day 1 (middle), or maximum velocity (right). N = 20–22 per genotype. G, No significant differences in middle-aged male and female KO mice. N = 16–17 per genotype. Error bars measured as ±SEM in F and G.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Emergence of abnormal limb-clasping in Rnf216 female KO mice. A, Pie charts of limb-clasping in WT- and KO-Males. Limb-clasping was scored based on the following parameters: 0, no clasping (black); 1, forelimb clasping only (teal); 2, forelimb and hindlimb clasping. B, Pie charts of limb-clasping in WT- and KO-Females. Limb-clasping was scored based on the following parameters: 0, no clasping (black); 1, forelimb clasping only (purple); 2, forelimb and hindlimb clasping (striped purple). KO-Females began to show hindlimb clasping at 9 and 41 weeks. At 41 weeks for females, [χ2 (1, N = 45) = 4.724; *p = 0.0297; chi-square for trend]. For 3 weeks, N = 35–36 for WT and 26–32 for KO; for 9 weeks, N = 22–31 for WT and 18–24 for KO; and for 41 weeks, N = 19–24 for WT and 17–26 for KO mice per sex/genotype.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Lack of spatial learning deficits in adult Rnf216 KO mice. A, Schematic of Barnes maze task to evaluate spatial and reversal learning. Learning phase consisted of training (days 1–5) followed by assessments of learning (days 6–10). During the reversal phase (days 11–16), the exit hole was rotated 180°. B, Adult (∼P70) WT and KO mice show no difference in total distance traveled on the maze before finding the exit hole. C, No difference in the number of errors during the training, learning, or reversal phase. D, Left, No differences in quadrant bias ratio. Right, no difference in perseverance ratio in KO mice. E, Top, No differences in spatial strategy during each day across phases. Bottom, No differences in spatial strategy consolidated for each phase. F, Top, No differences in serial strategy during each day across phases. Bottom, No differences in serial strategy consolidated for each phase. G, Top, No differences in random strategy during each day across phases. Bottom, No differences in random strategy consolidated for each phase. N = 20 for WT and N = 21 for KO. Error bars are represented as ±SEM on top graphs in E–G and as box and whisker plots on bottom graphs.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Altered search strategies in middle-aged Rnf216 KO mice. A, Schematic of Barnes maze task to evaluate spatial and reversal learning. Learning phase consisted of training (days 1–5) followed by assessments of learning (days 6–10). During the reversal phase (days 11–16), the exit hole was rotated 180°. B, Middle-aged (∼P375) WT and KO mice show no difference in total distance traveled on the maze before finding the exit hole. C, No genotypic differences in the number of errors in both males and females during training, learning, and reversal phase. There were sex differences during the reversal phase. KO-Males have a higher number of errors than KO-Females. FGenotype(1,27) = 0.09622, p = 0.7588; FSex(1,27) = 16.42, ***p = 0.0004; FSex*Genotype(1,27) = 0.04985, p = 0.8250. Post hoc: WT-Males vs KO-Females, *p = 0.0156; KO-Males vs KO-Females, *p = 0.0239. Two-way ANOVA with Tukey’s multiple comparisons. D, Left, No differences in quadrant bias ratio. Right, No difference in perseverance ratio. E, Top, No differences in spatial strategy during each day across phases. Bottom, No differences in spatial strategy consolidated for each phase. F, Top, Differences in serial strategy during each phase. Training: FTime(2.770,79.62) = 2.583, p = 0.0637; FGenotype(1,29) = 8.306, **p = 0.0074; FTime*Genotype(4,115) = 1.121, p = 0.3502; learning: FTime(3.436,99.63) = 0.1508, p = 0.9463; FGenotype(1,29) = 8.537, **p = 0.0067; FTime*Genotype(4,116) = 0.9341, p = 0.4468. Post hoc: day 7, *p = 0.0482; day 10, *p = 0.0309; reversal: FTime(4.011,116.3) = 1.960, p = 0.1050; FGenotype(1,29) = 6.954, *p = 0.0133; FTime*Genotype(5,145) = 1.849, p = 0.1070. Post hoc: day 14, **p = 0.0050. Two-way ANOVA with Sidak’s multiple comparisons. Bottom, differences in serial strategy consolidated for each phase. Training: t(29) = 2.838, **p = 0.0082; learning: t(29) = 2.984, **p = 0.0057; reversal: t(29) = 2.648, *p = 0.0130. Unpaired t test. G, Top, Differences in random strategy during the training phase. FTime(3.475,99.90) = 11.99, ****p < 0.0001; FGenotype(1,29) = 5.205, *p = 0.0300; FTime*Genotype(4,115) = 0.5664, p = 0.6875. Mixed-effects model. Bottom, Differences in random strategy during the consolidated training phase. t(29) = 2.252, *p = 0.0320. Unpaired t test. N = 15 for WT and N = 16 for KO.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Decreased context recall in middle-aged Rnf216 KO mice. A, No differences in time spent freezing during conditioning on day 1 in adult WT and KO mice or average number of freezing episodes (bottom left) or length of bout (bottom right). B, No differences in time spent freezing during context recall on day 2 in adult WT and KO mice or average number of freezing episodes (bottom left) or length of bout (bottom right). C, No differences in time spent freezing during cue recall on day 3 in adult WT and KO mice or average number of freezing episodes (bottom left) or length of bout (bottom right). N = 10–11 mice per sex/genotype. D, No differences in time spent freezing during conditioning on day 1 in aged WT and KO mice or average number of freezing episodes (bottom left) or length of bout (bottom right). E, Middle-aged KO mice spent less time freezing during context recall on day 2. FTime(4.038,121.1) = 12.15, ****p < 0.0001; FGenotype(1,30) = 5.380, *p = 0.0274; FTime*Genotype(5,150) = 1.089, p = 0.3690. Two-way ANOVA with Sidak’s multiple comparisons. There were no differences on average number of freezing episodes (bottom left) or length of bout (bottom right). F, No differences in time spent freezing during cue recall on day 3 in middle-aged WT and KO mice or average number of freezing episodes (bottom left) or length of bout (bottom right). N = 7–9 mice per genotype/sex. Top, Error bars are represented as ±SEM. Bottom, Data are represented as box and whisker plots.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    Middle-aged Rnf216 KO mice exhibit search strategies that are more tuned to adult WT mice. A, Pearson’s correlation in adult WT (top) and KO (bottom) mice using behavioral output parameter-related strategy search in the Barnes maze. B, Pearson’s correlation in middle-aged WT (top) and KO (bottom) mice using behavioral output parameters related to open field, strategy search in the Barnes maze. *p < 0.05, **p < 0.005, ***p < 0.0005, ****p < 0.00005.

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    Decreased intrinsic excitability in the hippocampus of Rnf216 KO male mice. A, Representative miniature excitatory postsynaptic potential (mEPSP) traces from WT and KO male and female mice. There were no differences in (B) amplitude or frequency. C, Sex differences were observed in rise time. FSex(1,94) = 13.45, ***p = 0.0004; FGenotype(1,94) = 0.04758, p = 0.8278; FSex*Genotype(1,94) = 0.8068, p = 0.3714. Post hoc: WT-Males vs WT-Females, *p = 0.0181; WT-Males vs KO-Females, *p = 0.0262. Two-way ANOVA with Tukey’s multiple comparisons. D, There were sex differences in decay time. FSex(1, 94) = 15.77, ***p = 0.0001; FGenotype(1,94) = 0.4680, p = 0.4956; FSex*Genotype(1,94) = 3.839, p = 0.0530. Post hoc: WT-Males vs WT-Females, **p = 0.0011; KO-Male vs WT-Female, *p = 0.0109. Two-way ANOVA with Tukey’s multiple comparisons. E, More negative RMP in KO male mice. FSex(1, 94) = 2.363, p = 0.1276; FGenotype(1,94) = 8.877, **p = 0.0037; FSex*Genotype(1,94) = 0.4267, p = 0.5152. Post hoc: WT-Males vs KO-Males, *p = 0.0258; KO-Males vs WT-Females, *p = 0.0144. Two-way ANOVA with Tukey’s multiple comparisons. N = 4 mice per sex/genotype and n = 16 cells for WT-Females, 24 for KO-Females, 37 for WT-Males, and 43 for KO-Males.

  • Figure 8.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 8.

    Altered microglia in the hippocampus and cortex of adult Rnf216 KO mice. A, Top, Representative images of microglia stained with Iba1 in the hippocampus in adult (∼P112) WT and KO males (left) and females (right) imaged at 20× magnification. Scale bar represents 100 µm, inset represents 10 µm. B, Left, Area of Iba1. FSex(1,20) = 2.087, p = 0.1641; FGenotype(1,20) = 0.9083, p = 0.3519; FSex*Genotype(1,20) = 6.251, *p = 0.0212. Two-way ANOVA. Right, Density of Iba1-positive cells. There were significant increases in cell density but not area in KO-Females. FSex(1,20) = 33.08, ****p < 0.0001; FGenotype(1,20) = 14.13, **p = 0.0012; FSex*Genotype(1,20) = 16.69, ***p = 0.0006. Post hoc: WT-Males vs KO-Females, ****p < 0.0001; KO-Males vs Female KO, ****p < 0.0001; WT-Females vs KO-Females, ***p = 0.0001. Two-way ANOVA with Tukey’s multiple comparisons. N = 3 per sex/genotype with 1–2 sections per mouse represented in summary plots. C, Distribution of soma size in WT and KO mice. Male KO mice have smaller soma size. Welch’s t values for WT-Male vs KO-Male −0.472 (p = 0.033), WT-Male vs WT-Female −4.620 (p < 0.001), KO-Male vs KO-Female −12.116 (p < 0.001). N = 127–293 cells per genotype/sex. D, Left, Sholl analysis of reconstructed microglia measuring number of intersections in proximity to the soma. Right, AUC fittings using hierarchical bootstrapping for individual microglia. Female microglia had more intersections than male microglia. Welch’s t value for WT-Male vs WT-Female 7.071 (p < 0.001) and KO-Male vs KO-Female 6.752 (p < 0.001). N = 3 mice per genotype/sex, n = 30 reconstructed cells per group. Error bars are represented as ± SEM. E, Example 3D reconstructions of microglia from each group. F, Top, Representative images of microglia stained with Iba1 in the cortex in adult (∼P112) WT and KO males (left) and females (right) imaged at 20× magnification. Scale bar represents 100 µm, inset represents 10 µm. G, Left, Area of Iba1. FSex(1,8) = 0.6448, p = 0.4452; FGenotype(1,8) = 4.515, p = 0.0663; FSex*Genotype(1,8) = 1.305, p = 0.2863. Two-way ANOVA. Right, Density of Iba1-positive cells. There were significant increases in cell density but not area in KO females. FSex(1,8) = 29.89, ***p = 0.0006; FGenotype(1,8) = 26.11, ***p = 0.0009; FSex*Genotype(1,8) = 17.33, **p = 0.0032. Post hoc: WT-Males vs KO-Females, ***p = 0.0003; KO-Males vs KO-Females, ***p = 0.0006; WT-Females vs KO-Females, ***p = 0.0008. Two-way ANOVA with Tukey’s multiple comparisons. N = 3 per sex/genotype with 1 section per mouse represented in summary plots. H, Distribution of soma size in WT and KO mice. Male KO mice have smaller soma size. Welch’s t values for WT-Male vs KO-Male 5.663 (p < 0.001) and KO-Male vs KO-Female −7.267 (p < 0.001). N = 128–267 cells per genotype/sex. I, Left, Sholl analysis of reconstructed microglia measuring number of intersections in proximity to the soma. Right, AUC fittings using hierarchical bootstrapping for individual microglia. All groups were significantly different from one another with KO male microglia exhibiting the greatest reduction in intersection number. Welch’s t value for WT-Male vs KO-Male −4.330 (p < 0.001), WT-Female vs KO-Female 2.029 (p = 0.04), WT-Male vs WT-Female 3.267 (p = 0.002), KO-Male vs KO-Female 8.398 (p < 0.001). N = 3 mice per genotype/sex, n = 30 reconstructed cells per group. Error bars are represented as ±SEM. J, Example 3D reconstructions of microglia from each group.

Tables

  • Figures
  • Extended Data
    • View popup
    Table 1.

    Cerebellar weights in 16 and >52 week mice

    Cerebellar weights16 weeksnp value>52 weeksnp value
    Rnf216 global knock-outWT = 20.0 ± 0.48 KO = 21.2 ± 0.71WT = 18 KO = 110.16WT = 21.0 ± 0.82 KO = 20.5 ± 0.82WT = 18 KO = 250.70
    • There were no significant differences. N = 11–25 mice per genotype. Cerebellar weights were normalized to brain weights. Error bars are ± SEM.

Extended Data

  • Figures
  • Tables
  • Extended Data 1

    R program file code used for analysis of microglia. Download Data 1, ZIP file.

Back to top

In this issue

eneuro: 11 (1)
eNeuro
Vol. 11, Issue 1
January 2024
  • Table of Contents
  • Index by author
  • Masthead (PDF)
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Gordon Holmes Syndrome Model Mice Exhibit Alterations in Microglia, Age, and Sex-Specific Disruptions in Cognitive and Proprioceptive Function
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Gordon Holmes Syndrome Model Mice Exhibit Alterations in Microglia, Age, and Sex-Specific Disruptions in Cognitive and Proprioceptive Function
Arlene J. George, Wei Wei, Dhanya N. Pyaram, Morgan Gomez, Nitheyaa Shree, Jayashree Kadirvelu, Hannah Lail, Desiree Wanders, Anne Z. Murphy, Angela M. Mabb
eNeuro 27 December 2023, 11 (1) ENEURO.0074-23.2023; DOI: 10.1523/ENEURO.0074-23.2023

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Gordon Holmes Syndrome Model Mice Exhibit Alterations in Microglia, Age, and Sex-Specific Disruptions in Cognitive and Proprioceptive Function
Arlene J. George, Wei Wei, Dhanya N. Pyaram, Morgan Gomez, Nitheyaa Shree, Jayashree Kadirvelu, Hannah Lail, Desiree Wanders, Anne Z. Murphy, Angela M. Mabb
eNeuro 27 December 2023, 11 (1) ENEURO.0074-23.2023; DOI: 10.1523/ENEURO.0074-23.2023
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
    • Synthesis
    • Author Response
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • ataxia
  • cognitive
  • Gordon Holmes syndrome
  • microglia
  • RNF216
  • ubiquitin

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Article: New Research

  • Novel roles for the GPI-anchor cleaving enzyme, GDE2, in hippocampal synaptic morphology and function
  • Upright posture: a singular condition stabilizing sensorimotor coordination
  • EEG Signatures of Auditory Distraction: Neural Responses to Spectral Novelty in Real-World Soundscapes
Show more Research Article: New Research

Disorders of the Nervous System

  • Release of Extracellular Matrix Components after Human Traumatic Brain Injury
  • Gene variants related to primary familial brain calcification: perspectives from bibliometrics and meta-analysis
Show more Disorders of the Nervous System
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2025 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.