Abstract
Objective:
There is a critical need to establish genetic markers that explain the complex phenotypes and pathogenicity of ALS. This study identified a polymorphism in the Stathmin-2 gene and investigated its association with sporadic ALS (sALS) disease risk, age-of onset and survival duration.
Methods:
The candidate CA repeat was systematically analyzed using PCR, Sanger sequencing and high throughput capillary separation for genotyping. Stathmin-2 expression was investigated using RT-PCR in patient olfactory neurosphere-derived (ONS) cells and RNA sequencing in laser-captured spinal motor neurons.
Results:
In a case-control analysis of a combined North American sALS cohort (n = 321) and population control group (n = 332), long/long CA genotypes were significantly associated with disease risk (p = 0.042), and most strongly when one allele was a 24 CA repeat (p = 0.0023). In addition, longer CA allele length was associated with earlier age-of-onset (p = 0.039), and shorter survival duration in bulbar-onset cases (p = 0.006). In an Australian longitudinal sALS cohort (n = 67), ALS functional rating scale scores were significantly lower in carriers of the long/long genotype (p = 0.034). Stathmin-2 mRNA expression was reduced in sporadic patient ONS cells. Additionally, sALS patients and controls exhibited variable expression of Stathmin-2 mRNA according to CA genotype in laser-captured spinal motor neurons.
Conclusions:
We report a novel non-coding CA repeat in Stathmin-2 which is associated with sALS disease risk and has disease modifying effects. The potential value of this variant as a disease marker and tool for cohort enrichment in clinical trials warrants further investigation.
Introduction
Stathmin-2 (encoded by STMN2), has recently been reported as a potential contributor to the pathogenesis of ALS (; ). STMN2, a member of the stathmin family of proteins, encodes a phosphoprotein that has an important role in microtubule dynamics (). Microtubules are essential in maintaining the integrity of axonal signal transduction and cellular transport systems, as well as being important in neuronal growth and cell division (). Core to the role of microtubules is their “dynamic instability,” namely the ability to switch between a state of rapid shrinkage and polymerization (), which is largely mediated by microtubule associated proteins such as stathmin.
The Stathmin-2 protein promotes microtubule dynamics in axonal growth cones (; ), and is thought to play an important role in neurite outgrowth (). Following nerve crush injury, Stathmin-2 is upregulated in the growth cones of regenerating axons (), with mutant STMN2 expression being associated with retraction of motor neurons from innervated neuromuscular junctions in Drosophila (). Additionally, neurite growth is impacted by STMN2 knockdown in human motor neurons, and these cells fail to exhibit extension compared to wild-type STMN2 cell lines (). Therefore, Stathmin-2 has been proposed as an axonal maintenance factor that, when depleted, can accelerate neurodegeneration, making this gene highly relevant in the context of ALS (; ).
Stathmin-2 is highly regulated by the RNA splicing factor TDP-43 (encoded by Transactive response DNA binding protein-43 kDa, TARDBP) that forms hallmark neuronal protein aggregates in both familial and sporadic ALS (sALS) (), and knockdown of TDP-43 was recently shown to significantly reduce STMN2 transcript levels (; ). TDP-43 plays a critical role in the repression of non-conserved cryptic exons, thus when TDP-43 aggregation and loss of function occurs, it facilitates the inclusion of a cryptic exon in the STMN2 transcript (; ). Such conservation leads to the translation of an early stop codon resulting in a non-functional protein (; ). Reduced STMN2 expression has been reported in spinal cord sections and human motor neurons of ALS patients, and has been attributed to this early polyadenylation mechanism (; ).
In the current study, the CA repeat variant of STMN2 was initially identified in silico using a short structural variant evaluation algorithm (), and was investigated using PCR, capillary separation and Sanger sequencing. A cross-sectional case-control study based on differential CA allele and genotype frequencies was performed in a combined North American sALS cohort, to determine if repeat length and allele/genotype frequencies are associated with disease risk, age of symptom onset, and survival duration. In addition, effects of CA genotypes on disease progression and cumulative survival were investigated in a smaller longitudinal follow-up cohort of Australian sALS patients. STMN2 expression studies were carried out in olfactory neurosphere-derived (ONS) cells from sALS patients and controls, and in laser-captured postmortem spinal motor neurons, with accompanying RNA sequencing data ().
Materials and Methods
Study Participants for Case-Control Studies
A combined cohort of 321 Caucasian North American sALS patients and 332 Caucasian North American healthy age-matched controls were used in the study. DNA and clinical information including age of onset, site of disease onset and survival duration, were collected from 152 sALS patients at the Duke ALS clinic in accordance with the Health Insurance Portability and Accountability Act (Pro00040665/323682). In addition, DNA samples from 169 sALS patients and 332 population control samples were obtained from the NINDS Repository, Coriell Institute for Medical Research (Camden, NJ, United States). Additionally, a longitudinal follow-up cohort of 67 Australian Caucasian sALS patients was obtained from the Sporadic ALS Australia (SALSA) project (HREC–2016-187, RGS1471, University of Western Australia RA/4/20/5308). DNA and clinical information, including age-of-onset, site of onset and ALSFRS scores at follow-up visits were collected for patients. All participants were diagnosed by board-certified neurologists and met the revised El Escorial World Federation of Neurology criteria for the diagnosis of ALS ().
Polymerase Chain Reaction and Confirmation of Allele Length
To amplify the microsatellite, primers were designed to bind sequences on either side of the CA repeat with the forward primer located in exon 3 and the reverse primer located in intron 3 (sequences and cycling conditions are shown in Supplementary Table 1). Endpoint PCR reactions were prepared to a final volume of 10 μl, containing: 7.2 μl of dH2O (Baxter Healthcare, Old Toongabbie, NSW, Australia), 2 μl of MyFi reaction buffer (Bioline, Sydney, NSW, Australia), 0.05 μl of MyFi DNA polymerase (Bioline, Sydney, NSW, Australia), 0.375 μl of forward and reverse primer (Integrated DNA Technologies, Coralville, IA, United States) at 200 ng/μl, and 10 ng of DNA. PCR products were then fractionated on a 2% agarose (w/v) gel (Scientifix Pty Ltd., Clayton, VIC, Australia) in 1× TAE and stained with red safe nucleic acid stain (iNtRON Biotechnology, Scientifix Pty Ltd., Clayton, VIC, Australia) prior to imaging using the Bio-Rad ChemiDoc MP Imaging System. In heterozygous cases, individual amplicons were purified by band-stab, () and Sanger sequenced by the Australian Genome Research Facility (AGRF) (Perth Australia). Analysis was conducted using Finch-TV software (version 1.5.0; Geospiza Inc.).
High-Throughput Genotyping
Due to the variability of the repeat region, genotyping was performed via capillary separation using fluorescent end labeled primers, as a way to improve genotype resolution. PCR reactions were carried out using the above protocol except for the inclusion of a FAM-labeled forward primer. PCR products were sent for capillary separation at the AGRF (Perth Australia). Results were analyzed on peak scanner software (version 1.0; Thermo Fisher Scientific).
Olfactory Neurosphere-Derived Cell Cultures and Immunocytochemistry
Olfactory mucosa biopsies were collected from four male sALS patients and four healthy, age-matched control participants. ONS cells (ONS cells) were generated from each biopsy according to our previously described protocols (). All procedures were performed with written consent from the participants and with approval by the human ethics committee of Northern Sydney Local Health District (Sydney, Australia) and the Griffith University Human Ethics Committee (Queensland, Australia). The ONS cells were cultured in DMEM/F12 (1:1) containing 10% fetal bovine serum (v/v) and fixed using previously described methods (). ONS cells were washed in PBS + 0.2% Triton X and blocked in 3% goat serum for 1 hr. Cells were incubated overnight at 4°C with Nestin (1:100 Thermo Fisher Scientific, Waltham, MA, United States, MA1-110), NeuN (1:500 Abcam, SYD, AU, ab177487) and β-tubulin (1:1000 Abcam, SYD, AU, ab18207) primary antibodies. Following washes, cells were incubated at room temperature for 1 h with secondary antibodies Alexa Fluor 488 (1:400, Bio-Rad, Hercules, CA, United States, ab150077) and Alexa Fluor 568 (1:400, Bio-Rad, Hercules, CA, United States, ab175701). Nuclei were stained with DAPI 0.5 μg/ml (Sigma-Aldrich, St. Louis, MO, United States) with final images taken on a Cytation 5 cell imager (BioTek, Winooski, VT, United States).
RT-PCR
RNA was extracted using TRIzol (Thermo Fisher Scientific, Waltham, MA, United States) as per manufacturer’s instructions and resuspended in 30 μl of dH2O (Baxter Healthcare, Old Toongabbie, NSW, Australia). cDNA was synthesized using the SuperScript IV system (Thermo Fisher Scientific, Waltham, MA, United States) in 20 μl reactions as per manufacturer’s instructions, using 10 μl of template RNA with a total of 500 ng. Endpoint PCR reactions for GAPDH and TARDBP were prepared according to the MyFi enzyme protocol described above, STMN2 reactions amplifying across exons 1–2 were prepared to a final volume of 10 μl, according to the hot start Phusion polymerase protocol (Thermo Fisher Scientific, Waltham, MA, United States) (primer sequences and cycling conditions, Supplementary Table 1). PCR products were fractionated on a 2% agarose (w/v) gel (Scientifix Pty Ltd., Clayton, VIC, Australia) and stained with red safe nucleic acid stain (iNtRON Biotechnology, Scientifix Pty Ltd., Clayton, VIC, Australia) prior to imaging using the Bio-Rad ChemiDoc MP Imaging System, followed by densitometry using image J software (National Institutes of Health, Bethesda, MD, United States).
Human Postmortem Tissue
Human postmortem tissue collections were approved by the Institutional Review Board (Benaroya Research Institute, Seattle, WA, United States IRB# 10058 and University of California San Diego, San Diego, CA, United States IRB# 120056) and were obtained using a short postmortem interval acquisition protocol that followed HIPAA-compliant informed consent procedures. All sALS patients from whom tissues were obtained met the modified EI Escorial criteria for definite ALS (). Age-matched control nervous system tissues were obtained from hospice patients once life support was withdrawn. The average postmortem interval was 3.5 h for controls and 4.6 h for sALS patients. Detailed methods for tissue collection and pathological screening have been described previously (). Laser-captured motor neurones were micro-dissected from lumbar spinal cord sections and RNA was collected and sent for RNA sequencing analysis as previously reported (; ). DNA was collected for STMN2 CA genotyping.
Statistics
Case-control binary genotype associations were assessed using a Pearson’s Chi-squared test, while case-control logistic regression was used to assess joint genotypic effects according to allele size categories (long and short) based on previous rationales (; ; ). General linear models were used for the prediction of age of onset by genotype category. Within the SALSA longitudinal study, patient clinical characteristics were assessed over time using general linear mixed models (LMMs). Naïve LMMs were used to assess whether patient clinical characteristics were significantly associated with ALSFRS scores over time. Corrected LMMs were constructed to assess the impact of STMN2 genotype group (L/L) on ALSFRS, independently of covariates. Variables identified as being statistically significant were included in the multivariable corrected LMMs. Residual plots were examined for all models and no violations were noted. Survival times were assessed using Kaplan-Meir analysis and Cox proportional hazards models. A p value below 0.05 was considered significant. Analyses were carried out in IBM SPSS Statistics version 25.0 (IBM Co., Armonk, NY, United States).
Results
Identification of a Polymorphic Structural Variant in STMN2
A structural variant evaluation algorithm (), was used to search for polymorphic variants within STMN2 that are likely to have significant biological effects contributing to disease risk. Structural variants were scored according to 24 different properties, previously described () and the candidate CA variant was selected from a short list for further investigation. The identified intronic CA repeat (Figure 1A) was investigated on public genomic databases NCBI and ensemble genome browser NC_000008.11 and 8:79641629-79641672, respectively, to see if the region had been previously resolved. Sanger sequencing revealed polymorphic CA alleles of different lengths (Figure 1B), suggesting that this candidate region is likely to be a highly informative genetic marker. Capillary fragment separation confirmed alleles ranged from 10 to 26 CA repeats (representative plots shown in Figure 1C). A subset of 7,490 base pairs across the STMN2 gene (79636317–79643806) was mapped on RNAfold Web server (), to determine if the variable CA repeat altered secondary pre-mRNA structure. The predicted pre-mRNA structure was based upon the base pair sequence entered into the RNAfold Web server, therefore the structural prediction was the same for both cases and control with the same number of CA repeats. Interestingly, when CA repeat length was >18 CA, the repeat formed an open circular structure in the predicted pre-mRNA that was not present for those with <18 CA repeats (Figure 1D).
FIGURE 1
Distribution of Alleles and Genotypes in North American sALS Cohorts
We next compared the distribution of the CA variant in the 152 Duke sALS cases, 169 Coriell sALS cases, and 332 healthy control cases (cohort demographics Table 1). The distribution of allele lengths ranged from 10 to 26 CA repeats in controls and sALS cases, and tended to fall in two groups: those with <19 CA repeats, classified as short alleles, and those ≥19 CA repeats that were classified as long alleles. Both patient groups consisted of individuals with self-reported Caucasian ethnicity and there were no significant differences in allele distributions between the Coriell and Duke cohorts (p > 0.8). Each distribution was compared to Webstr database and was similar to both GTEx (predominantly European self-reported ancestry) and 1000 genomes European allele distributions, providing confidence that the population in this study is reflective of a Caucasian population of European descent. The two patient groups were therefore combined to increase the sample size and power to detect genetic effects.
TABLE 1
| Duke cases (n = 152) | Coriell cases (n = 169) | Combined cohort (n = 321) | Controls (n = 332) | |
| Males | 82 | 92 | 174 | 167 |
| Age (years) | 57.3 (12.1) | 56.8 (12.6) | 57.0 (12.4) | 55.6 (16.9) |
| Females | 70 | 77 | 147 | 165 |
| Age (years) | 57.8 (11.9) | 60.4 (13.4) | 58.0 (12.6) | 57.7 (13.9) |
| Age of onset | 57.5 (12.0) | 55.8 (13.7) | 56.6 (12.9) | – |
| Disease duration (mths) | 52.4 (38.1) | – | – | – |
Demographics of study participants used for case-control association.
Displayed as numbers of participants, means and standard deviations.
Long STMN2 Alleles Are Associated With Disease Risk in North American sALS Cohorts
There was a significantly higher frequency of genotypes with two long alleles (≥19 CA) in sALS cases compared to healthy controls (Table 2). In contrast, there was a significantly higher frequency of the long/short genotype in controls. At the individual allele level, only the presence of a 24 CA repeats was significantly associated with sALS cases, when it was part of a long/long genotype (p = 0.041, OR = 1.75, CI = 1.05–2.90, Figure 2A). To consider the impact of having two long alleles (≥19 CA) with the presence or absence of a 24 CA repeat, a case-control logistic regression was performed. In sALS cases there was a significantly higher frequency of those carrying two long alleles with at least one being the 24 CA repeat, whilst the frequency of those carrying two long alleles but without a 24 CA allele did not differ significantly between cases and controls. This effect was not abrogated by correction for age or gender.
TABLE 2
| Genotype | sALS | Controls | p value | OR | 95% CI |
| Long/long (L/L) | 203 (63.2%) | 183 (55.1%) | 0.042* | 1.4 | 1.02–1.92 |
| L/L (with a 24 CA) | 37 (11.5%) | 18 (5.4%) | 0.0023**# | 2.60 | 1.41–4.97 |
| L/L (without 24 CA) | 166 (51.7%) | 165 (49.7%) | 0.15# | 1.27 | 0.92–1.76 |
| Long/short (L/S) | 105 (32.7%) | 135 (40.7%) | 0.035* | 1.19 | 1.01–1.39 |
| Short/short (S/S) | 13 (4.0%) | 14 (4.2%) | 0.91 | 1.04 | 0.48–2.26 |
Distribution of CA genotypes in North American sALS and control cohorts.
Bold values are statistically significant. Significance level is indicated by *. *p < 0.05, ** p ≤ 0.01. # p values from corrected model. OR, odds ratio; CI, confidence interval.
FIGURE 2
Long STMN2 Alleles Are Associated With Earlier Age-of-Onset in North American sALS Cohorts
To examine the effect of CA repeat length on age of disease onset, a generalized linear model was used. Within cases, carriage of at least one long allele (≥19 CA) was associated with a 7.5 years lower age at onset compared to other genotypes (p = 0.039, S/S = 63.85 years vs. other genotypes = 56.28 years; CI = 0.43–14.7).
Long STMN2 Alleles Are Associated With Reduced Survival in Bulbar-Onset Patients
End-point survival data was available for 143 of the 152 patients from the Duke University cohort. There was no significant difference in the survival times for those carrying two long alleles including 24 CA, and carriage of other genotypes (p = 0.6, Figure 2B). However, when categorized according to site of onset (bulbar vs. spinal), the bulbar cases carrying two long alleles including 24 CA had significantly shorter survival times than other bulbar cases (p = 0.0038, Hazard ratio [HR] = 3.2, CI = 1.45–7.0). There was no significant difference between survival times for bulbar cases not carrying the long alleles and spinal cases with or without the long alleles (p = 0.54). Relative to this latter combined group, bulbar cases carrying the long alleles, including the 24 CA repeat, had significantly shorter survival times (p = 0.006, HR = 3.4, CI = 1.6–7.1, Figure 2C). These results were not abrogated by adjustment for gender and age at disease onset.
Long STMN2 Alleles Are Associated With Increased Disease Severity in an Australian sALS Cohort
The relationship between STMN2 CA alleles and disease severity and survival was also investigated in a cohort of 67 sALS patients from the SALSA project, who were followed up over periods of up to 25 months, with an average of 4 follow-up time points per patient (cohort demographics and clinical information are shown in Table 3). The frequency of CA genotypes in this cohort was: S/S = 3, S/L = 23, L/L = 41. With the limited number of participants in this cohort, sub-group analysis incorporating the 24 CA allele was not possible. To investigate the impact of STMN2 CA genotypes on ALSFRS score over time, a generalized LMM was used which included significant predictors of change in ALSFRS, with age-at-onset, age at assessment, time between follow-up assessments, and site of onset as covariates. When accounting for repeated measures, the CA variant was significantly associated with mean ALSFRS scores over time (p = 0.034), with an overall reduction of 2.37 ALSFRS points in carriers of the L/L genotype (see Supplementary Table 2, estimated means from the model were L/L 28.98 vs. other genotypes 31.35). When the cumulative survival percentage was analyzed using a Cox proportional hazards model, comparing L/L genotypes to other genotypes, the L/L group showed a trend toward decreased survival duration compared to those with at least one short allele. Although not significant, the direction of the trend was consistent with our previous observations (see Supplementary Figure 1).
TABLE 3
| Clinical characteristics | Mean (SD) or n (%) | ||||||||
| Baseline (n = 67) | Visit 2 (n = 67) | Visit 3 (n = 51) | Visit 4 (n = 34) | Visit 5 (n = 24) | Visit 6 (n = 12) | Visit 7 (n = 3) | Visit 8 (n = 1) | ||
| Age at symptom onset (years) | 61.92 (11.46) | – | – | – | – | – | – | – | |
| Follow-up interval (mths) | – | 6.34 (9.26) | 11.39 (7.71) | 15.45 (9.34) | 19.97 (11.36) | 24.21 (16.06) | 60.94 (3.76) | 25.9 (–) | |
| Age at assessment (years) | 65.31 (11.77) | 65.83 (11.70) | 64.85 (11.5) | 64.75 (10.99) | 63.20 (10.56) | 64.70 (9.65) | 60.94 (3.76) | 59.31 (–) | |
| Disease duration (years) | 1.81 (2.42) | 2.27 (2.48) | 2.76 (2.64) | 3.24 (2.74) | 3.25 (2.31) | 3.97 (2.89) | 4.90 (1.51) | 5.37 (–) | |
| Sex | Male | 38 (56.7%) | 38 (56.7%) | 31 (60.8%) | 18 (52.9%) | 15 (62.5%) | 8 (66.7%) | 3 (100%) | 1 (100%) |
| Female | 29 (43.3%) | 29 (43.3%) | 20 (39.2%) | 16 (47.1%) | 9 (37.5%) | 4 (33.3%) | – | – | |
| Onset type | Spinal | 49 (73.1%) | 49 (73.1%) | 36 (70.6%) | 28 (82.4%) | 20 (83.3%) | 12 (100%) | 3 (100%) | 1 (100%) |
| Bulbar | 18 (26.9%) | 18 (26.9%) | 15 (29.4%) | 6 (17.6%) | 2 (16.7%) | – | – | – | |
| ALSFRS | 35.64 (8.4) | 32.39 (8.38) | 30.18 (8.19) | 27.44 (9.98) | 25.33 (9.02) | 22.75 (9.90) | 18.67 (6.66) | 24 (–) | |
Longitudinal clinical characteristics of follow-up Australian sALS cohort (SALSA) (n = 67).
Displayed as numbers of participants, means, and standard deviations. ALSFRS, amyotrophic lateral sclerosis functional rating scale.
STMN2 Expression Is Reduced in sALS Olfactory Neurosphere-Derived Cells Compared to Controls
Previously, ONS cells have been used to model neurological disorders (; ). Given the STMN2 CA repeat was associated with sALS disease risk, age of onset and survival, we next asked whether the CA repeat explained variability in STMN2 expression in control and sALS age matched ONS cells lines (see Supplementary Table 3). Immunostaining of primary ONS cells revealed expression of Nestin, NeuN and β-tubulin, demonstrating both progenitor/stem cells and mature neuronal characteristics (Figure 3A). A distinct difference in STMN2 expression in ONS cell lines was evident between healthy control and sALS cases (Figures 3B,C). Within the control group, there was no observable difference in STMN2 expression relative to CA repeat length; however, expression was detected in only one of the four sALS patient cell lines. No STMN2 expression was detected for three of the patient cell lines, two of which had two long alleles including one patient with the risk allele. There was no observable difference in TARDBP expression between cases and controls (Figures 3B,C).
FIGURE 3
Investigation of STMN2 CA Genotypes and Expression in Postmortem Laser-Captured Spinal Motor Neurons
Tissue samples and RNA sequencing analyses were conducted on laser-captured motor neurons as previously reported (
We next examined if the relative TDP pathology was different between the CA genotypes of sALS patients (Figure 3E), when standardizing phosphorylated TDP-43 positive motor neurons to the number of morphologically intact motor neurons in laser-captured samples, and found that there was no difference between the percentages of motor neurons positive for phosphorylated TDP between the two genotypes. Additionally, there was no difference in the percentage of observed motor neuron death between the S/L and L/L genotyped patients (Figure 3F).
Discussion
This is the first report of a structural variant within STMN2 that is associated with sALS disease risk and also has disease-modifying effects. In a combined North American sALS cohort, the presence of at least one copy of the 24 CA repeat in genotypes consisting of two long alleles was found to be significantly associated with disease, thus confirming the hypothesis that allele length is a determinant of disease risk. Intuitively, if length is a driving factor, one could expect that carriage of short alleles would be protective, and our data supports this. In addition, the risk genotype group L/L (24 CA) was associated with reduced survival when accounting for initial site of disease onset and age at onset. Additionally, in a follow up longitudinal Australian sALS cohort, there was a significant reduction (2.3 points) in the mean ALSFRS score between the L/L and other genotype group. These results suggest that the CA variant may therefore be a potential marker to identify sub-groups of sALS patients that progress in a particular way, and could be a useful tool for cohort selection and enrichment in clinical trials.
In silico modeling of the identified CA repeat suggests that it has the potential to impact the binding of regulatory elements and alter pre-mRNA structure. This was of particular interest because it has previously been reported that hnRNP L (heterogeneous nuclear ribonucleoprotein L) can act as an expression enhancer and a regulator of splicing efficiency, with this function being directly related to CA repeat length of the target mRNA (
To further investigate this notion, we next examined STMN2 CA genotypes in postmortem laser-captured motor neurons for which accompanying RNA sequencing data was available (
The recently elucidated regulation of STMN2 by the known RNA splicing factor TDP-43 suggests that STMN2 may play a critical role in ALS pathophysiology (
Critical to understanding the implications of this data, is to assess the landscape of known genetic markers for sALS. Currently, there are only a few markers that explain increased disease risk, age-of-onset distributions, and variability in disease progression and survival (
Importantly, we modeled the data using pre-determined long and short allele cut-off lengths to increase the power to detect a genetic effect, in a region that has a large number of genotypes. As such, alleles were grouped into length categories according to previous rationales (
Conclusion
In conclusion, the STMN2 24 CA repeat, which was present in 11.5% of sALS cases in our combined cohort, and could potentially uncover disease risk in a significantly larger proportion of sporadic patients than the few existing genetic markers currently known for sALS. Moreover, the data that we present adds weight to the recently elucidated regulatory interactions between STMN2 and TDP-43 in the pathogenesis of ALS. Such a discovery may work in parallel with the cryptic exon mechanism in regulation of STMN2 expression and splicing efficiency. Our data suggests that the STMN2 CA repeat may be a potential sporadic disease marker for ALS that can be used as a tool for cohort selection or to stratify variable patient response in clinical trials.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving human participants were reviewed and approved by The University of Western Australia RA/4/20/5308, Duke University Health Insurance Portability and Accountability Act (Pro00040665/323682), Sporadic ALS Australia (SALSA) project (HREC–2016-187, RGS1471), and the Institutional Review Board (Benaroya Research Institute, Seattle, WA, United States IRB# 10058 and University of California San Diego, San Diego, CA, United States IRB# 120056). The patients/participants provided their written informed consent to participate in this study.
Author contributions
FT, RA, LF, and PA: concept design and study. RB: Duke University cohort sample collection and clinical information. NL, MM, and MN: SALSA patient recruitment, clinical data, and sample collection. AM-S: generation of the ONS cells. JR, ZM, and DC: generation of laser captured motor neurons and RNA sequencing data. FT: acquisition of data and initial draft of manuscript. FT, RA, LF, SJW, IJ, FM, and PA: analysis of data. All authors contributed to the manuscript editing and approved the manuscript.
Funding
This work was funded by the Perron Institute for Neurological and Translational Science, the Giumelli Foundation, Ian Potter Foundation, Racing for MNDi Foundation and the Pierce Armstrong Foundation. The olfactory neurosphere-derived cells were generated through funding to AM-S from the Australian Department of Health. NL is funded by Australian National Health and Medical Research (NHMRC) Fellowship (APP1117510). The funders had no role in the preparation of the manuscript and the decision to publish.
Acknowledgments
We would like to acknowledge the patients that contribute to our ongoing work. We thank Ammar Al-Chalabi, Alfredo Iacoangeli, and Ahmad Al Khleifat for their thoughtful discussions, Julia Pytte and Leanne Jiang for their contribution toward the cohort allocations. Access to clinical data was facilitated by the SALSA-SGC project funded by the MNDRIA Ice Bucket Challenge Grant.
Conflict of interest
FT, RA, LF, and PA hold the International patent application No. PCT/AU2020/051330 Discovery of informative structural variations within the STMN2 gene associated with sporadic Motor Neurone Disease. AS was employed by company Zinfandel Pharmaceuticals. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnagi.2021.658226/full#supplementary-material
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Summary
Keywords
amyotrophic lateral sclerosis, genetic variant, genetic association studies, stathmin-2, genetic marker, structural variation, motor neuron disease
Citation
Theunissen F, Anderton RS, Mastaglia FL, Flynn LL, Winter SJ, James I, Bedlack R, Hodgetts S, Fletcher S, Wilton SD, Laing NG, MacShane M, Needham M, Saunders A, Mackay-Sim A, Melamed Z, Ravits J, Cleveland DW and Akkari PA (2021) Novel STMN2 Variant Linked to Amyotrophic Lateral Sclerosis Risk and Clinical Phenotype. Front. Aging Neurosci. 13:658226. doi: 10.3389/fnagi.2021.658226
Received
25 January 2021
Accepted
02 March 2021
Published
26 March 2021
Volume
13 - 2021
Edited by
Daisuke Ito, Keio University, Japan
Reviewed by
Nicola Ticozzi, University of Milan, Italy; Cristina Cereda, Genomic and Post-Genomic Center, IRCCS Mondino Foundation, Italy
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Copyright
© 2021 Theunissen, Anderton, Mastaglia, Flynn, Winter, James, Bedlack, Hodgetts, Fletcher, Wilton, Laing, MacShane, Needham, Saunders, Mackay-Sim, Melamed, Ravits, Cleveland and Akkari.
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*Correspondence: P. Anthony Akkari, Anthony.akkari@perron.uwa.edu.auFrances Theunissen, frances.theunissen@perron.uwa.edu.au
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