Abstract
Background
Mutations in the SPAST gene cause autosomal dominant hereditary spastic paraplegia (HSP) type 4 (SPG4), which is the most common type of HSP with variable frequencies in different ethnic backgrounds. The clinical and genetic characteristics of SPG4 in Central China have not been well documented.
Methods
We screened for SPAST variants by whole exome sequencing in a cohort of 63 unrelated families with HSP from Central China. The clinical manifestations were evaluated.
Results
21 variants of SPAST were identified in 21 index patients with a frequency of 33.3% (21/63). Seven novel variants were identified, including one missense variant (p.S399W), five frameshift variants (p.Q170Vfs*2, p.S527Vfs*3, p.I605Vfs*17, p.I605Nfs*26, and p.V443Afs*2), and one splicing variant (c.871-1G>A). We also detected four previously reported exon deletions of SPAST. The mean age of disease onset was 34.0 years. Anticipation and variability of disease severity were observed in some autosomal dominant families. Two patients exhibited a complicated phenotype, one of whom presented with hyposmia, which had never been previously reported with SPG4.
Conclusion
SPG4 is the most common type of HSP in our cohort. Complicated phenotype, although rare, can also be observed in SPG4 patients. The hyposmia might be a new phenotype associated with SPG4. The SPAST rearrangement is common and should be considered during genetic analysis. The novel SPAST variants identified in this study expand the mutational spectrum.
Keywords: complicated phenotype, hereditary spastic paraplegia, hyposmia, novel variant, SPAST, SPG4
1. Introduction
Hereditary spastic paraplegia (HSP) comprises a group of clinically and genetically heterogeneous neurodegenerative disorders (Erfanian Omidvar et al., 2021). According to the clinical presentation, HSP is classified as pure form characterized by isolated progressive lower limb weakness and spasticity, or complicated form with additional neurological and extra-neurological manifestations, such as cognitive impairment, cerebellar ataxia, epilepsy, visual disturbance, and peripheral neuropathy (Cao et al., 2024; Harding, 1993). The modes of inheritance include autosomal dominant (AD), autosomal recessive, X-linked, and mitochondrial maternal transmission (Meyyazhagan and Orlacchio, 2022) To date, more than 80 genes associated with HSP have been identified (Erfanian Omidvar et al., 2021).
Mutations in the SPAST gene are responsible for autosomal dominant HSP type 4 (SPG4), which is the most prevalent subtype, accounting for approximately 15%–40% of all HSP cases in different ethnic backgrounds (Cao et al., 2024; Lu et al., 2018; Alvarez et al., 2010). SPG4 typically manifests as a pure phenotype, although cases of complicated SPG4 have also been documented (Yao et al., 2024). Currently, more than one thousand different variants in the SPAST gene have been identified, which include missense and nonsense variants, small deletions, gross deletions, and other types of variants (https://www.hgmd.cf.ac.uk/ac/all.php).
Several studies on HSP or SPG4 have been conducted within the Chinese population across different regions (Cao et al., 2024; Lu et al., 2018; Dong et al., 2018; Wei et al., 2014; Luo et al., 2014); however, the clinical and genetic characteristics of SPG4 specifically in Central China remain unclear. In this study, we aimed to screen for SPAST variants in a cohort of 63 HSP families from Central China. Ultimately, we identified 21 SPAST variants, including seven novel ones, in 21 of these families. A detailed description of the clinical manifestations and genetic findings were provided, which expanded the clinical and mutational spectrum of SPG4.
2. Materials and methods
2.1. Patients
From January 2018 to June 2025, we performed a genetic examination of 63 unrelated Chinese patients from Henan province of central China, who were clinically diagnosed with HSP according to the Harding’s criteria (Harding, 1993). All index patients and some family members underwent detailed clinical evaluation. The mode of inheritance was autosomal dominant in 20 families, autosomal recessive in 4 families, and apparently sporadic in 39 cases with no evidence of family history. Among the 63 probands, 21 cases presented with a complicated phenotype. This study was approved by the Ethics Committee of Henan Provincial People’s Hospital. All participants gave their written informed consent.
2.2. Genetic analysis
Genomic DNA was extracted from peripheral blood samples from all participants following standard procedures. Whole exome sequencing was performed on the probands using Agilent SureSelect Human All Exon 50-Mb kit (Agilent, Santa Clara, CA, United States) for exome enrichment and the Illumina HiSeq2500 platform (Illumina, San Diego, CA, United States). All identified variants were validated by Sanger sequencing. The average sequencing depth was 136.85× for each sample, and the coverage of the targeted regions was approximate 98.6%. The variants with minor allele frequency (MAF) of < 1% in the Single Nucleotide Polymorphism Database (dbSNP), the Genome Aggregation Database (gnomAD), Exome Aggregation Consortium (ExAC), and the 1000 Genomes Project database (1000G) were kept for further analysis. In silico predictions of the functional effect of variants were performed with MutationTaster (https://www.mutationtaster.org), PolyPhen-2 (https://genetics.bwh.harvard.edu/pph2), SIFT (http://sift.jcvi.org), and Human Splicing Finder (http://www.umd.be/HSF). Co-segregation analysis was further performed by Sanger sequencing in the family members. The variants were definited as novel when they were absent in the disease and phenotype databases including Online Mendelian Inheritance in Man (OMIM, http://www.omim.org), ClinVar (http://www.ncbi.nlm.nih.gov/clinvar), the Human Gene Mutation Database (HGMD, http://www.hgmd.org), and Human Phenotype Ontology (HPO, hhtps:hpo.jax.org/app). The novel variants were assigned in accordance with the American College of Medical Genetics and Genomics (ACMG) standards and guidelines (Richards et al., 2015). Copy number variation (CNV) calling from whole exome sequencing was attempted, and exon deletions or duplications were confirmed by multiplex ligation-dependent probe amplification (MLPA).
3. Results
Genetic diagnosis of HSP was established for 43 families with a positive diagnostic yield of 68.3% (43/63). The most frequent subtype was SPG4 (SPAST) in 21 probands (21/63, 33.3%), followed by other 12 subtypes including SPG7 (SPG7), SPG6 (NIPA1), SPG11 (SPG11), SPG5A (CYP7B1), SPG10 (KIF5A), SPG3A (ATL1), SPG8 (KIAA0196), SPG9B (ALDH18A1), SPG15 (ZFYVE26), SPG31 (REEP1), SPG35 (FA2H) and SPG78 (ATP13A2) (Figure 1). Four exon deletion variants in SPAST were detected by whole exome sequencing in four probands, and confirmed by MLPA.
FIGURE 1.
Distribution of genetic cause in 63 HSP families from Central China.
3.1. SPAST variants
Twenty-one different SPAST variants were identified in 21 probands (Table 1). Among these, 14 variants had been previously reported as pathogenic (Cao et al., 2024; Lu et al., 2018; Dong et al., 2018; Park et al., 2015; Beetz et al., 2006; Crippa et al., 2006; Meyer et al., 2005; Nan et al., 2021; de Bot et al., 2010; Shoukier et al., 2009; McCorquodale et al., 2011; Meijer et al., 2002; Ishiura et al., 2014), while seven were novel. The novel variants included a missense variant, c.1196C>G (p.S399W), three small deletions: c.508_509delCA (p.Q170Vfs*2), c.1579delA (p.S527Vfs*3), and c.1813_1816delATAC (p.I605Vfs*17), one insertion, c.1813dupA (p.I605Nfs*26), one insertion-deletion, c.1328_1329delinsCCTAGAG (p.V443Afs*2), and one splicing variant, c.871-1G>A (Figure 2; Table 2). The Sanger sequencing of seven novel variants was shown in Figure 3.
TABLE 1.
Clinical and genetic results of 21 probands with SPG4 in the present study.
| Index case | Sex | AAO (years) | DD (years) | Inheritance | Hypertonia(UL/LL) | Hyperreflexia(UL/LL) | Hoffmann/Babinski sign | Ankle clonus | Phenotype | Nucleotide change | Amino acide change | Mutation type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | M | 3 | 35 | AD | −/+ | −/+ | −/+ | + | P | Exon 5–7 del | | Deletion |
| 2 | M | 41 | 5 | AD | −/+ | −/+ | −/+ | + | P | c.1774delA | p.I592* | Nonsense |
| 3 | M | 20 | 35 | AD | −/+ | −/+ | −/+ | + | P | c.1813dupA (#) | p.I605Nfs*26 | Frameshift |
| 4 | F | 32 | 4 | AD | −/− | +/+ | +/+ | + | P | c.1328_1329delinsCCTAGAG (#) | p.V443Afs*2 | Frameshift |
| 5 | F | 31 | 2 | AD | −/+ | +/+ | +/+ | + | P | Exon 1–3 del | | Deletion |
| 6 | M | 45 | 4 | AD | −/+ | −/+ | −/+ | - | P | c.1196C>G (#) | p.S399W | Missense |
| 7 | M | 47 | 10 | AD | −/+ | +/+ | −/+ | + | P | c.1821G>C | p.W607C | Missense |
| 8 | F | 10 | 20 | Sporadic | −/+ | −/+ | −/+ | - | C (EP, Dysarthria, Dysphagia) | c.307_312dupTCGGCC | p.S103_A104dup | In-frame duplication |
| 9 | M | 26 | 3 | Sporadic | −/+ | −/+ | −/+ | + | P | c.508_509delCA (#) | p.Q170Vfs*2 | Frameshift |
| 10 | F | 49 | 2 | Sporadic | −/+ | +/+ | −/+ | + | P | c.871-1G>A (#) | | Splicing |
| 11 | M | 10 | 30 | Sporadic | −/+ | +/+ | +/+ | + | P | c.1496G>A | p.R499H | Missense |
| 12 | M | 38 | 1 | Sporadic | −/− | −/+ | −/+ | + | P | Exon 10–12 del | | Deletion |
| 13 | M | 26 | 11 | Sporadic | −/+ | −/+ | −/+ | - | C (EP, CI, VI, Hyposmia) | c.1685G>C | p.R562P | Missense |
| 14 | M | 36 | 6 | AD | −/+ | −/+ | +/+ | + | P | c.1507C>T | p.R503W | Missense |
| 15 | M | 44 | 26 | AD | −/+ | −/+ | −/+ | + | P | c.328_340del | p.G110Sfs*47 | Frameshift |
| 16 | F | 58 | 8 | Sporadic | −/+ | −/+ | −/+ | + | P | c.1402G>T | p.E468* | Nonsense |
| 17 | M | 38 | 4 | Sporadic | −/+ | −/+ | −/+ | + | P | c.1039C>A | p.Q347K | Missense |
| 18 | M | 33 | 2 | Sporadic | −/+ | −/+ | −/+ | + | P | c.1685G>A | p.R562Q | Missense |
| 19 | M | 36 | 22 | AD | −/+ | −/+ | −/+ | + | P | c.1579delA (#) | p.S527Vfs*3 | Frameshift |
| 20 | M | 35 | 10 | AD | −/+ | −/+ | −/+ | + | P | c.1813_1816delATAC (#) | p.I605Vfs*17 | Frameshift |
| 21 | F | 55 | 10 | AD | −/+ | −/+ | −/+ | - | P | Exon 10–13 del | | |
AAO, age at onset; AD, autosomal dominant; C, complicated; CI, cognitive impairment; DD, disease duration; EP, epilepsy; F, female; LL, lower limb; M, male; P, pure; UL, upper limb; VI, vision impairment; #, the novel variants; -, negative or absence; +, positive or present.
FIGURE 2.
Schematic representation of the mutational location in cDNA of SPAST gene detected in our SPG4 cohort (n = 21). The SPAST gene contains 17 exons. The novel variants are indicated in red characters.
TABLE 2.
The seven novel variants of SPAST gene identified in our cohort.
| Patient | Inheritance | Nucleotide change | Amino acide change | Variant type | ACMG | Evidence |
|---|---|---|---|---|---|---|
| 6 | AD | c.1196C>G | p.S399W | Missence | Pathogenic | PS4+PM1+PM2+PM5+PP1+PP3 |
| 9 | Sporadic | c.508_509delCA | p.Q170Vfs*2 | Frameshift | Pathogenic | PVS1+PM2+PP3 |
| 4 | AD | c.1328_1329delinsCCTAGAG | p.V443Afs*2 | Frameshift | Pathogenic | PVS1+PM2+PP3 |
| 19 | AD | c.1579delA | p.S527Vfs*3 | Frameshift | Pathogenic | PVS1+PM2+PP3 |
| 3 | AD | c.1813dupA | p.I605Nfs*26 | Frameshift | Likely pathogenic | PM2+PM4+PP1+PP3 |
| 20 | AD | c.1813_1816delATAC | p.I605Vfs*17 | Frameshift | Likely pathogenic | PM2+PM4+PP1+PP3 |
| 10 | Sporadic | c.871-1G>A | Splicing | Splicing | Pathogenic | PVS1+PM2+PM6+PP3 |
AD, autosomal dominant; ACMG, american college of medical genetics and genomics.
FIGURE 3.
The Sanger sequencing of seven novel variants of SPAST.
The novel missense variant c.1196C>G (p.S399W) in exon 9 was found to segregate with the disease in an AD-HSP family. This variant was not found in the ExAC or 1000 Genomes databases. It was predicted to be disease causing by MutationTaster, and probably damaging with a score of 1.000 by PolyPhen-2. The amino acid residue Ser399 is highly evolutionarily conserved across different species, and located within the functional AAA domain (amino acids 342–599). The amino Ser399 could form polar interactions with Ala396 and Val395; however, the p.S399T variant would result in the loss of this polar interaction, as illustrated by the protein 3D modeling using the SWISS-MODEL software (Figure 4). Additionally, a variant at the same position, p.S399L, has been previously reported as pathogenic in several patients (Lu et al., 2018; Wei et al., 2014). According to the standards of ACMG, this novel variant was classified as pathogenic based on evidence PS4+PM1+PM2+PM5+PP1+PP3.
FIGURE 4.
Protein 3D modeling by the SWISS-MODEL software. The amino Ser399 could form polar interactions with Ala396 and Val395; however, the p.S399T variant would result in the loss of this polar interaction.
Three novel frameshift variants, p.Q170Vfs*2, p.S527Vfs*3, p.V443Afs*2, were identified in one sporadic patient and in two AD-HSP families, respectively. These variants were predicted to result in truncated spastin proteins, and were classified as pathogenic based on evidence of PVS1, PM2, and PP3. Additionally, two other frameshift variants, p.I605Vfs*17 and p.I605Nfs*26, were identified in two AD-HSP families. These variants were predicted to be translated into spastin proteins that were 4 and 13 amino acids longer than normal, respectively. A similar variant, p.I605Hfs*26, was previously reported in a Korean AD-HSP family (Park et al., 2015). The p.I605Vfs*17 and p.I605Nfs*26 variants were classified as likely pathogenic, supported by evidence of PM2, PM4, PP1, and PP3.
A novel splicing variant, c.871-1G>A, was detected in a sporadic patient. This variant occurred at the critical canonical splice site and was classified as pathogenic, based on evidence of PVS1, PM2, PM6, and PP3.
Four previously reported exon deletions were detected, including exon 1-3, exon 5-7, exon 10–12, and exon 10–13.
Overall, this study revealed the distribution of variant types in the SPAST gene: missense variant (7/21, 33.3%), nonsense variant (2/21, 9.5%), splicing variant (1/21, 4.8%),frameshift and in-frame duplication variant (7/21, 33.3%), and exon deletions (4/21, 19.0%) (Figure 2; Table 1).
3.2. Clinical manifestations of patients with SPG4
SPG4 was identified in 21 probands, comprising 12 individuals with AD-HSP (12/20, 60.0%) (Figure 5) and 9 sporadic cases (9/39, 23.1%) (Table 1). Male patients were more than females with a ratio of 15:6. All patients presented with gait disturbance due to spasticity or weakness in the lower limbs. Except for one patient (proband 11) who required assistance for ambulation, all other patients maintained the ability to walk independently.
FIGURE 5.
Pedigrees of 12 families with autosomal dominant SPG4. The numbers in the brackets indicate the onset age.
The average age at onset was 34.0 years (ranging from 3 to 58 years), and the mean disease duration was 11.9 years (ranging from 1 to 35 years). In four ADHSP families (family 1–4), the age at onset appeared to be earlier across successive generations (Figure 5). The mean age at onset was 44.3 years (n = 7) in the first generation (family 1 II, family 2 II, family 3 II, and family 4 I), 30.5 years (n = 8) in the second generation, and 16.8 years (n = 6) in the third generation.
As for clinical neurological features, seven probands (33.3%) exhibited lower limb weakness. Pyramidal involvement was noted as indicated by the presence of the Babinski sign and lower limb hyperreflexia both in 21 patients (100%), and lower limb hypertonia in 19 patients (90%), as well as ankle clonus in 17 patients (81%) and the Hoffmann sign in four patients (19%). Additionally, two patients experienced sensory deficits, two suffered from urinary incontinence, and four exhibited pes cavus deformity. Impressively, 19 patients presented with a pure form of HSP, while two patients (9.5%) had a complicated form. Specifically, patient 8 had complications including epilepsy, dysarthria, and dysphagia, while patient 13 had epilepsy, cognitive impairment, visual impairment, and hyposmia.
Besides, several families exhibited intra-familial clinical heterogeneity. Notably, proband 5’s mother and brother, along with the son of proband 7, and the father of proband 14, were identified as asymptomatic carriers, demonstrating only pyramidal involvement on physical examination (Figure 5). Furthermore, proband 3 and his mother exhibited relatively mild symptoms, while his younger brother (family 3 III-7) was severely affected, experiencing an onset age of 10 years, and becoming bedridden by the age of 40. Additionally, both sons of proband 5 and proband 6 were carriers without pyramidal involvement at their younger age.
Brain magnetic resonance imaging (MRI) results were normal for all patients, while spinal MRI revealed mild thoracic spinal cord atrophy in two patients.
4. Discussion
In this study, we identified 21 unrelated patients with SPAST variants among 63 Chinese families with HSP. This resulted in a mutation frequency of 33.3% for the overall cohort of HSP patients. Specifically, the mutation frequency was 60.0% (12/20) in ADHSP cases, and 23.1% (9/39) in sporadic HSP patients. SPAST-related SPG4 was the most common subtype of HSP found in both our cohort and previously reported studies (Cao et al., 2024; Méreaux et al., 2022). Notably, the frequency of SPAST variants varied across different regions (Table 3). In the Chinese population, the mutation frequency ranged from 16.2% to 40% (Cao et al., 2024; Lu et al., 2018; Dong et al., 2018; Wei et al., 2014; Luo et al., 2014). The largest previous cohort study in China reported a frequency of 28.9% (78/270). Overall, the estimated SPAST mutation frequency in all Chinese HSP patients was 27.5% (175/637). In other Asian populations, the mutation frequency was relatively lower, 18.5% in Japan (Ishiura et al., 2014) and between 18.3% and 26.5% in Korea (Park et al., 2015; Yang et al., 2021). In Europe, the mutation frequency ranged from 9.2% to 30.3%, which is lower than that observed in Chinese patients. A relatively high frequency of approximately 30% was reported in studies from Russia (Kadnikova et al., 2019) and Italy (Nanetti et al., 2012). In contrast, lower frequencies of less than 20% were observed in other European populations (Alvarez et al., 2010; Méreaux et al., 2022; Elert-Dobkowska et al., 2015; Mészárosová et al., 2016; Balicza et al., 2016). The largest cohort study conducted to date from France revealed a mutation frequency of only 9.2% (Méreaux et al., 2022). A study from North America reported a mutation frequency of 27.5%, which is similar to that found in the Chinese population (McCorquodale et al., 2011). The variation in SPAST mutation frequency across different populations may be attributed to differences in ethnic backgrounds.
TABLE 3.
The frequency of SPG4 in different regions and percentage of patients carrying SPAST rearrangement variants.
| Region | SPG4 in general cohort | SPG4 in AD-HSP | SPG4 in sporadic HSP | Rearrangement variant | Reference |
|---|---|---|---|---|---|
| Central China | 33.3% (21/63) | 60.0% (12/20) | 23.1% (9/39) | 19.0% (4/21) | This study |
| China | 40.0% (22/55) | 56.4% (22/39) | | 4.50% (1/22) | Lu et al. (2018) |
| Southwest China | 35.5% (11/31) pHSP | 40% (4/10) | 33.3% (7/21) | 45.5% (5/11) | Wei et al. (2014) |
| China | 28.9% (78/270) | | | 28.2% (22/78) | Cao et al. (2024) |
| China | 22.5% (27/120) | 44.4% (24/54) | 4.5% (3/66) | 29.7% (8/27) | Luo et al. (2014) |
| China | 16.2% (16/99) | | | 18.8% (3/16) | Dong et al. (2018) |
| Korea | 26.5% (49/185) | | | 20.4% (10/49) | Beetz et al. (2006) |
| Korea | 18.3% (19/104) | | | 5.30% (1/19) | Kadnikova et al. (2019) |
| Japan | 18.5% (32/129) | 55.1% (27/49) | 7.9% (5/63) | 15.6% (5/32) | Méreaux et al. (2022) |
| Russia | 30.3% (37/122) | 37.7% (26/69) | 20.7% (11/53) | 27.0% (10/37) | Nanetti et al. (2012) |
| Italy | 29.2% (19/65) | 34.9% (15/43) | 21.1% (4/19) | 10.5% (2/19) | Elert-Dobkowska et al. (2015) |
| Poland | 18.5% (40/216) | 38.8% (33/85) | 5.4% (7/131) | 37.5% (15/40) | Mészárosová et al. (2016) |
| Czech | 18.3% (48/263) pHSP | | | 8.30% (4/48) | Balicza et al. (2016) |
| Hungary | 17.2% (10/58) | | | | Rossi et al. (2022) |
| Spain | 14.6% (54/370) | 31.2% (44/141) | 4.4% (10/229) | 3.70% (2/54) | Alvarez et al. (2010) |
| France | 9.2% (142/1550) | | | 11.3% (16/142) | Yang et al. (2021) |
| North America | 27.5% (33/120) | | | 3% (1/33) | Meijer et al. (2002) |
AD-HSP, autosomal dominant hereditary spastic paraplegia; pHSP, pure hereditary spastic paraplegia.
The bold values indicate the results of our study.
The phenotype of our patients with SPG4 was comparable to that described in other studies (Rossi et al., 2022). The mean age of disease onset typically occurred in the fourth decade, although there was considerable variability in onset age both within and between families. The reported onset age ranged from 0 to 80 years (Rossi et al., 2022). A bimodal distribution of onset age had also been reported, with the first peak occurring in the first decade and the second between the fourth and the fifth decades (de Bot et al., 2010; Rossi et al., 2022; Parodi et al., 2018). However, in our cohort, only one patient experienced onset before the age of 10, which could potentially be due to the relatively small size of our SPG4 cohort. Regarding the age of onset, we also observed anticipation in some families in our cohort, where the onset age was earlier across successive generations. This was consistent with previous reports (Cao et al., 2024; Rossi et al., 2022). The possible explanations for anticipation might be increased disease awareness in younger generations, other modifying genetic factors, or ascertainment bias. The disease generally progressed slowly, as most patients in our cohort were still able to walk independently. Nevertheless, there was noted variability in the severity of spasticity among patients with SPG4 (Yao et al., 2024). Several factors might be involved in the variability, such as epigenetic mechanisms, environmental influences, or modifier genes.
SPG4 is commonly recognized as a typically pure form of HSP. However, an increasing number of cases with complicated phenotype has also been documented. In our cohort, 9.5% of patients exhibited complicated HSP, which was lower than the figures reported in other studies. For instance, two studies from China (Lu et al., 2018; Yao et al., 2024) found rates of 22.2% and 27.3%, respectively. An Italian cohort (Rossi et al., 2022) reported a rate of 26.6%, and a Dutch study (de Bot et al., 2010) presented a rate of 22.4%. The complications associated with complicated HSP included intellectual disability, ataxia, polyneuropathy, dysarthria, epilepsy, distal muscle wasting, vision impairment, hearing impairment, and so on (Lu et al., 2018; Yao et al., 2024; de Bot et al., 2010; Rossi et al., 2022). Notably, the hyposmia observed in our patient had not been previously reported in SPG4 patients or patients with other SPG subtypes. Hyposmia might be a new complication associated with SPG4, but given that this was a single observation and no literature was found to support this plausibility, due attention should be paid to hyposmia in subsequent observational studies on SPG4 and other SPG subtypes.
The SPAST gene is located on chromosome 2p22.3 and contains 17 exons. To date, more than one thousand variants have been identified worldwide. In this study, we identified 21 pathogenic or likely pathogenic variants, including seven novel variants, which expanded the mutational spectrum of SPAST. There was no hotspot variant in our cohort as well as in others (Yao et al., 2024; Wei et al., 2014; Rossi et al., 2022). The variant types included 33.3% missense variants, 9.5% nonsense variants, 4.8% splicing variants, 33.3% frameshift or in-frame duplication variants, and 19.0% gross rearrangements. These proportions of variant types were in line with previous reports, in which missense and frameshift variants were the most common types, accounting for 31% and 22%, respectively (Yao et al., 2024). Significantly, as shown in Table 3, rearrangements of SPAST were a frequent cause of SPG4, accounting for about 10%–30% of all variants. Most rearrangements were exon deletions, while a few were exon duplications (Cao et al., 2024; Dong et al., 2018; Rossi et al., 2022). Therefore, it was critical to use MLPA to detect rearrangement variants in SPG4. It had been previously reported that patients harboring deletion variants of SPAST had earlier onset age than those with point variants (Depienne et al., 2007), while, it was not always observed in our patients or in other cohorts (Cao et al., 2024). Among the 17 point variants in SPAST in our cohort, 58.5% (10/17) were located in the AAA (ATPases associated with diverse cellular activities) cassette domain, indicating it as a hot mutated region of SPAST (Yao et al., 2024; Dong et al., 2018) (Figure 2).
This study has several limitations. Fisrt, we used whole exome sequencing rather than whole genome sequencing. Therefore, complex structural variants, deep intronic variants, or distal regulatory variants may have been missed. Second, reanalysis of whole exome sequencing data was not performed. These may be explainations for those genetically unresolved families. Future studies integrating whole genome sequencing, reanalysis of whole exome sequencing data, and evaluation of novel HSP-related genes may further increase the diagnostic yield.
In conclusion, we identified 21 families with SPG4 in a cohort of 63 HSP families from Central China. The mutation frequency of the SPAST gene was 33.3% in our HSP cohort. Anticipation and complicated phenotype can be observed in SPG4 patients. The hyposmia might be a new phenotype associated with SPG4. SPAST rearrangement is a common cause of SPG4, and should be considered during genetic analysis. The novel SPAST variants identified in this study expand the mutational spectrum of SPG4.
Acknowledgements
The authors would like to thank the patients and their family members for their participation in this study.
Funding Statement
The author(s) declared that financial support was not received for this work and/or its publication.
Footnotes
Edited by: Stefania Zampatti, Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, Italy
Reviewed by: Sevim Soleimani, Shahid Beheshti University of Medical Sciences, Iran
Betül Okur Altindaş, Dr. Ali Kemal Belviranlı Obstetrics and Gynecology Hospital, Türkiye
Data availability statement
The data presented in the study are publicly available. The name of the repository and accession numbers can be found at: https://www.ncbi.nlm.nih.gov/clinvar/advanced, SCV006309143, SCV006309144, SCV006309145, SCV006309146, SCV006309147, SCV006309148, SCV006307953.
Ethics statement
This study was approved by the Ethics Committee of Henan Provincial People's Hospital. All participants gave their written informed consent.
Author contributions
JF: Conceptualization, Writing – original draft. JS: Investigation, Methodology, Writing – original draft. GL: Writing – original draft. MP: Investigation, Methodology, Writing – review and editing. JZ: Conceptualization, Writing – review and editing. MM: Conceptualization, Writing – review and editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
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References
- Alvarez V., Sánchez-Ferrero E., Beetz C., Díaz M., Alonso B., Corao A. I., et al. (2010). Mutational spectrum of the SPG4 (SPAST) and SPG3A (ATL1) genes in Spanish patients with hereditary spastic paraplegia. BMC Neurol. 10, 89. 10.1186/1471-2377-10-89 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Balicza P., Grosz Z., Gonzalez M. A., Bencsik R., Pentelenyi K., Gal A., et al. (2016). Genetic background of the hereditary spastic paraplegia phenotypes in Hungary - an analysis of 58 probands. J. Neurol. Sci. 364, 116–121. 10.1016/j.jns.2016.03.018 [DOI] [PubMed] [Google Scholar]
- Beetz C., Nygren A. O., Schickel J., Auer-Grumbach M., Bürk K., Heide G., et al. (2006). High frequency of partial SPAST deletions in autosomal dominant hereditary spastic paraplegia. Neurology 67 (11), 1926–1930. 10.1212/01.wnl.0000244413.49258.f5 [DOI] [PubMed] [Google Scholar]
- Cao Y., Zheng H., Zhu Z., Yao L., Tian W., Cao L. (2024). Clinical and genetic spectrum in a large cohort of hereditary spastic paraplegia. Mov. Disord. 39 (4), 651–662. 10.1002/mds.29728 [DOI] [PubMed] [Google Scholar]
- Crippa F., Panzeri C., Martinuzzi A., Arnoldi A., Redaelli F., Tonelli A., et al. (2006). Eight novel mutations in SPG4 in a large sample of patients with hereditary spastic paraplegia. Arch. Neurol. 63 (5), 750–755. 10.1001/archneur.63.5.750 [DOI] [PubMed] [Google Scholar]
- De Bot S. T., van den Elzen R. T., Mensenkamp A. R., Schelhaas H. J., Willemsen M. A., Knoers N. V., et al. (2010). Hereditary spastic paraplegia due to SPAST mutations in 151 Dutch patients: new clinical aspects and 27 novel mutations. J. Neurol. Neurosurg. Psychiatry 81 (10), 1073–1078. 10.1136/jnnp.2009.201103 [DOI] [PubMed] [Google Scholar]
- Depienne C., Fedirko E., Forlani S., Cazeneuve C., Ribaï P., Feki I., et al. (2007). Exon deletions of SPG4 are a frequent cause of hereditary spastic paraplegia. J. Med. Genet. 44 (4), 281–284. 10.1136/jmg.2006.046425 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dong E. L., Wang C., Wu S., Lu Y. Q., Lin X. H., Su H. Z., et al. (2018). Clinical spectrum and genetic landscape for hereditary spastic paraplegias in China. Mol. Neurodegener. 13 (1), 36. 10.1186/s13024-018-0269-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Elert-Dobkowska E., Stepniak I., Krysa W., Rajkiewicz M., Rakowicz M., Sobanska A., et al. (2015). Molecular spectrum of the SPAST, ATL1 and REEP1 gene mutations associated with the Most common hereditary spastic paraplegias in a group of Polish patients. J. Neurol. Sci. 359 (1–2), 35–39. 10.1016/j.jns.2015.10.030 [DOI] [PubMed] [Google Scholar]
- Erfanian Omidvar M., Torkamandi S., Rezaei S., Alipoor B., Omrani M. D., Darvish H., et al. (2021). Genotype-phenotype associations in hereditary spastic paraplegia: a systematic review and meta-analysis on 13,570 patients. J. Neurol. 268 (6), 2065–2082. 10.1007/s00415-019-09633-1 [DOI] [PubMed] [Google Scholar]
- Harding A. E. (1993). Hereditary spastic paraplegias. Semin. Neurol. 13 (4), 333–336. 10.1055/s-2008-1041143 [DOI] [PubMed] [Google Scholar]
- Ishiura H., Takahashi Y., Hayashi T., Saito K., Furuya H., Watanabe M., et al. (2014). Molecular epidemiology and clinical spectrum of hereditary spastic paraplegia in the Japanese population based on comprehensive mutational analyses. J. Hum. Genet. 59 (3), 163–172. 10.1038/jhg.2013.139 [DOI] [PubMed] [Google Scholar]
- Kadnikova V. A., Rudenskaya G. E., Stepanova A. A., Sermyagina I. G., Ryzhkova O. P. (2019). Mutational spectrum of spast (Spg4) and Atl1 (Spg3a) genes in Russian patients with hereditary spastic paraplegia. Sci. Rep. 9 (1), 14412. 10.1038/s41598-019-50911-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu C., Li L. X., Dong H. L., Wei Q., Liu Z. J., Ni W., et al. (2018). Targeted next-generation sequencing improves diagnosis of hereditary spastic paraplegia in Chinese patients. J. Mol. Med. Berl. 96 (7), 701–712. 10.1007/s00109-018-1655-4 [DOI] [PubMed] [Google Scholar]
- Luo Y., Chen C., Zhan Z., Wang Y., Du J., Hu Z., et al. (2014). Mutation and clinical characteristics of autosomal-dominant hereditary spastic paraplegias in China. Neurodegener. Dis. 14 (4), 176–183. 10.1159/000365513 [DOI] [PubMed] [Google Scholar]
- McCorquodale D. S., Ozomaro U., Huang J., Montenegro G., Kushman A., Citrigno L., et al. (2011). Mutation screening of spastin, atlastin, and REEP1 in hereditary spastic paraplegia. Clin. Genet. 79 (6), 523–530. 10.1111/j.1399-0004.2010.01501.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meijer I. A., Hand C. K., Cossette P., Figlewicz D. A., Rouleau G. A. (2002). Spectrum of SPG4 mutations in a large collection of North American families with hereditary spastic paraplegia. Arch. Neurol. 59 (2), 281–286. 10.1001/archneur.59.2.281 [DOI] [PubMed] [Google Scholar]
- Méreaux J. L., Banneau G., Papin M., Coarelli G., Valter R., Raymond L., et al. (2022). Clinical and genetic spectra of 1550 index patients with hereditary spastic paraplegia. Brain 145 (3), 1029–1037. 10.1093/brain/awab386 [DOI] [PubMed] [Google Scholar]
- Mészárosová A. U., Putzová M., Čermáková M., Vávrová D., Doležalová K., Smetanová I., et al. (2016). SPAST mutation spectrum and familial occurrence among Czech patients with pure hereditary spastic paraplegia. J. Hum. Genet. 61 (10), 845–850. 10.1038/jhg.2016.73 [DOI] [PubMed] [Google Scholar]
- Meyer T., Schwan A., Dullinger J. S., Brocke J., Hoffmann K. T., Nolte C. H., et al. (2005). Early-onset ALS with long-term survival associated with spastin gene mutation. Neurology 65 (1), 141–143. 10.1212/01.wnl.0000167130.31618.0a [DOI] [PubMed] [Google Scholar]
- Meyyazhagan A., Orlacchio A. (2022). Hereditary spastic paraplegia: an update. Int. J. Mol. Sci. 23 (3), 1697. 10.3390/ijms23031697 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nan H., Shiraku H., Mizuno T., Takiyama Y. (2021). A p.Arg499His mutation in SPAST is associated with infantile-onset complicated spastic paraplegia: a case report and review of the literature. BMC Neurol. 21 (1), 439. 10.1186/s12883-021-02478-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nanetti L., Baratta S., Panzeri M., Tomasello C., Lovati C., Azzollini J., et al. (2012). Novel and recurrent spastin mutations in a large series of SPG4 Italian families. Neurosci. Lett. 528 (1), 42–45. 10.1016/j.neulet.2012.08.036 [DOI] [PubMed] [Google Scholar]
- Park H., Kang S. H., Park S., Kim S. Y., Seo S. H., Lee S. J., et al. (2015). Mutational spectrum of the SPAST and ATL1 genes in Korean patients with hereditary spastic paraplegia. J. Neurol. Sci. 357 (1–2), 167–172. 10.1016/j.jns.2015.07.024 [DOI] [PubMed] [Google Scholar]
- Parodi L., Fenu S., Barbier M., Banneau G., Duyckaerts C., Tezenas du Montcel S., et al. (2018). Spastic paraplegia due to SPAST mutations is modified by the underlying mutation and sex. Brain 141 (12), 3331–3342. 10.1093/brain/awy285 [DOI] [PubMed] [Google Scholar]
- Richards S., Aziz N., Bale S., Bick D., Das S., Gastier-Foster J., et al. (2015). Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology. Genet. Med. 17 (5), 405–424. 10.1038/gim.2015.30 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rossi S., Rubegni A., Riso V., Barghigiani M., Bassi M. T., Battini R., et al. (2022). Clinical-genetic features influencing disability in spastic paraplegia type 4: a cross-sectional study by the Italian DAISY network. Neurol. Genet. 8 (2), e664. 10.1212/NXG.0000000000000664 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shoukier M., Neesen J., Sauter S. M., Argyriou L., Doerwald N., Pantakani D. V., et al. (2009). Expansion of mutation spectrum, determination of mutation cluster regions and predictive structural classification of SPAST mutations in hereditary spastic paraplegia. Eur. J. Hum. Genet. 17 (2), 187–194. 10.1038/ejhg.2008.147 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wei Q. Q., Chen Y., Zheng Z. Z., Chen X., Huang R., Yang Y., et al. (2014). Spastin mutation screening in Chinese patients with pure hereditary spastic paraplegia. Park. Relat. Disord. 20 (8), 845–849. 10.1016/j.parkreldis.2014.04.021 [DOI] [PubMed] [Google Scholar]
- Yang J. O., Yoon J. Y., Sung D. H., Yun S., Lee J. J., Jun S. Y., et al. (2021). The emerging genetic diversity of hereditary spastic paraplegia in Korean patients. Genomics 113 (6), 4136–4148. 10.1016/j.ygeno.2021.10.014 [DOI] [PubMed] [Google Scholar]
- Yao L., Cao Y., Zhang C., Huang X., Tian W., Cao L. (2024). Clinical and genetic characteristics in a Chinese cohort of complex spastic paraplegia type 4. Clin. Genet. 106 (1), 56–65. 10.1111/cge.14510 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data presented in the study are publicly available. The name of the repository and accession numbers can be found at: https://www.ncbi.nlm.nih.gov/clinvar/advanced, SCV006309143, SCV006309144, SCV006309145, SCV006309146, SCV006309147, SCV006309148, SCV006307953.





