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Article

A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing

by
Gemma Marinella
1,†,
Guja Astrea
1,*,†,
Bianca Buchignani
1,2,
Denise Cassandrini
1,
Stefano Doccini
1,
Massimiliano Filosto
3,4,
Daniele Galatolo
1,
Salvatore Gallone
5,
Fabio Giannini
6,
Diego Lopergolo
1,6,
Maria Antonietta Maioli
7,
Francesca Magri
8,
Alessandro Malandrini
6,
Paola Mandich
9,
Francesco Mari
10,
Roberto Massa
11,
Sabrina Mata
12,
Federico Melani
10,
Maurizio Moggio
13,
Tiziana E. Mongini
14,
Rosa Pasquariello
1,
Elena Pegoraro
15,
Federica Ricci
5,
Giulia Ricci
16,
Carmelo Rodolico
17,
Anna Rubegni
1,
Gabriele Siciliano
16,
Martina Sperti
12,
Chiara Ticci
10,
Paola Tonin
18,
Filippo M. Santorelli
1 and
Roberta Battini
1,2
add Show full author list remove Hide full author list
1
Department of Neuroscience, IRCCS Stella Maris Foundation, 56128 Pisa, Italy
2
Department of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy
3
Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy
4
NeMo-Brescia Clinical Center for Neuromuscular Diseases, 25064 Gussago, Italy
5
Neuromuscular Center, AOU Città della Salute e della Scienza, University of Torino, 10124 Torino, Italy
6
Department of Medical, Surgical and Neurological Sciences, University of Siena, 53100 Siena, Italy
7
ASL8, Center Sclerosi Multipla, 09134 Cagliari, Italy
8
Neurology Unit, IRCCS Fondazione Cà Granda Ospedale Maggiore Policlinico, 55031 Milan, Italy
9
IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
10
Meyer Children’s Hospital, University of Florence, 50121 Florence, Italy
11
Department of Systems Medicine, Tor Vergata University of Rome, 00133 Rome, Italy
12
Department of Neuromusculoskeletal and Sense Organs, SOD Neurology 1, Azienda Ospedaliero-Universitaria di Careggi, 50134 Florence, Italy
13
Neuromuscular and Rare Disease Unit, IRCCS Fondazione Cà Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
14
Department of Neurosciences “Rita Levi Montalcini”, University of Turin, 10124 Turin, Italy
15
Department of Neurosciences, University of Padua, 35122 Padova, Italy
16
Department of Clinical and Experimental Medicine, Neurological Clinic, University of Pisa, 56126 Pisa, Italy
17
Department of Clinical and Experimental Medicine, University of Messina, 98122 Messina, Italy
18
Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Neurology, University of Verona, 37129 Verona, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2022, 23(23), 14567; https://doi.org/10.3390/ijms232314567
Submission received: 30 September 2022 / Revised: 11 November 2022 / Accepted: 17 November 2022 / Published: 23 November 2022
(This article belongs to the Special Issue Collagen VI-Related Myopathies—COL6-RMs)

Abstract

:
Objective: To define the prevalence of variants in collagen VI genes through a next-generation sequencing (NGS) approach in undiagnosed patients with suspected neuromuscular disease and to propose a diagnostic flowchart to assess the real pathogenicity of those variants. Methods: In the past five years, we have collected clinical and molecular information on 512 patients with neuromuscular symptoms referred to our center. To pinpoint variants in COLVI genes and corroborate their real pathogenicity, we sketched a multistep flowchart, taking into consideration the bioinformatic weight of the gene variants, their correlation with clinical manifestations and possible effects on protein stability and expression. Results: In Step I, we identified variants in COLVI-related genes in 48 patients, of which three were homozygous variants (Group 1). Then, we sorted variants according to their CADD score, clinical data and complementary studies (such as muscle and skin biopsy, study of expression of COLVI on fibroblast or muscle and muscle magnetic resonance). We finally assessed how potentially pathogenic variants (two biallelic and 12 monoallelic) destabilize COL6A1-A2-A3 subunits. Overall, 15 out of 512 patients were prioritized according to this pipeline. In seven of them, we confirmed reduced or absent immunocytochemical expression of collagen VI in cultured skin fibroblasts or in muscle tissue. Conclusions: In a real-world diagnostic scenario applied to heterogeneous neuromuscular conditions, a multistep integration of clinical and molecular data allowed the identification of about 3% of those patients harboring pathogenetic collagen VI variants.

1. Introduction

Collagen VI-related myopathies (COL6-RM) are a group of rare genetic diseases with a heterogeneous phenotypic spectrum.
Within this mixed group, at least three distinct clinical entities can be identified: the most severe form, Ullrich’s congenital muscular dystrophy (UCMD; OMIM 254090), the mildest, Bethlem myopathy (BM; OMIM 158810), and intermediate phenotypes. However, common clinical characteristics can be recognized, such as muscle weakness, which mainly involves the muscles of the pelvic girdle, distal joints laxity, contractures of proximal joints (hips, knees, elbows, and spine), and skin abnormalities, such as pilar hyperkeratosis and keloid formation. Patients with the more severe form also have restrictive lung disease that can lead to respiratory failure [1,2]. The different forms present high allelic heterogeneity and reaching a full diagnosis is hard and laborious in most cases, also considering the different levels of penetrance of the gene variants.
Muscle biopsy in COL6-RM shows variable patterns ranging from nonspecific myopathic signs to dystrophic pictures. The reduction in collagen VI expression that could be studied on muscle tissue and on cultured skin fibroblasts is more informative. When available, muscle magnetic resonance imaging (MRI) could be of great help, as it can show a characteristic pattern on muscle involvement, particularly that of proximal muscles, the anterior muscular compartment of the thigh and the posterior muscular compartment of the leg. Two pathognomonic signs are also described in these patients: the “target” (“Central cloud”) sign in the rectus femoris muscle and the “sandwich” (“rim”, “outside-in”) sign in the vastus lateral muscle [3,4,5].
Diagnosis of COL6-RM is possible by detecting dominant or recessive mutations in the COL6A1, COL6A2 and COL6A3 genes and combining clinical and instrumental data. However, considering the large size of COLVI genes, until now, the diagnosis of COLVI-RM is underestimated and many patients are missed or incorrectly diagnosed.
On the other hand, the advent of new sequencing techniques has allowed the identification of many mutations whose pathogenicity remains uncertain or not always easy to corroborate.
The objectives of our study are manifold and include: the evaluation of the real prevalence of COLVI gene variants in neuromuscular patients undergoing routine genetic testing in third-level centers; defining the clinical or instrumental factors that may help in this process; and showing the percentage of patients in whom a definitive diagnosis can be reached. The importance of deepening our knowledge of COL6-RM is also made urgent in the face of emerging therapies and unprecedented opportunities to treat these patients [6,7].

2. Results

Figure 1 summarizes the flowchart used to define the real pathogenicity of variants, considering five different steps: Step I, defining the priority of variants in next-generation sequencing (NGS) analysis; Step II, based on the Combined Annotation Dependent Depletion (CADD) scores of variants observed in the gnomAD; Step III, collecting all available clinical data; Step IV, inspecting possible complementary studies (such as muscle and skin biopsy, study of expression of COLVI on fibroblast or muscle and muscle magnetic resonance); and Step V, based on predicted in silico protein stability changes (Figure 1).
Of the 512 samples subjected to Next-Generation Sequencing (NGS) analysis, we identified 48 cases harboring variants in the COL6A1, COL6A2 and COL6A3 genes: three variants were homozygous and 45 heterozygous. The remaining 464 patients were excluded from the study, since 59/512 had no COLVI gene variants and 405 had variants in other known genes, questioning the diagnosis of COL6-RM.
Overall, in the 48 cases, we identified 38 missense, one nonsense, six splice site, and three in/del leading to frameshift and predicting a prematurely truncated protein.
Among the 48 patients (26 males), 10 harbored variants in COL6A1, 17 carried variants in COL6A2 (one homozygous) and 21 patients had variants in COL6A3 (two homozygous) (Step I).
The CADD score of the different variants appeared distributed as in Figure 2: group 1 included three patients with a biallelic variant, of which two had CADD >25, whereas group 2 included 27 patients with a monoallelic variant, presenting a CADD score > 23. To increase the stringency, we decided to exclude patients whose missense had CADD <23 from this study (n = 18) (Figure 2).
Analyzing clinical data and complementary studies, we observed that all patients in group 1 presented a phenotype compatible with COL6-RM diagnosis. In two siblings (ID 1 and 2), symptoms presented at birth and were suggestive of UCMD. The two patients presented a typical weakness distribution with greater impairment of proximal muscles compared to distal ones and of lower limbs than upper ones. Both cases also presented rigid spine, ligament laxity, proximal contractures and skin alterations such as keratosis pilaris and velvety skin on fingers and toes. The younger brother required nocturnal non-invasive ventilation (NIV) and had never acquired independent walking. His older sister acquired autonomous walking, but she lost autonomous walking during her childhood. Only ID 1 underwent a muscle biopsy, which showed dystrophic signs and reduced COLVI expression. A reduction in COLVI expression was also found in her cultured skin fibroblasts. Muscle imaging in ID 1 showed marked and widespread fibro-adipose substitution of all muscles with a score of 3 at the level of the pelvis, paravertebral, intercostal and rectus abdominis muscles, according to the so-termed “Mercuri grading”. At the thigh level, its wide and marked involvement was evident, with a latero-mesial gravity gradient for the relative sparing of the adductors magnus and longus; the pathognomonic rim sign in the rectus femoris was also evident. In the leg muscles, there were a relative sparing of the tibialis anterior (Figure 3).
The clinical phenotype of patient ID 3 denoted specific muscle weakness affecting the pelvic girdle muscles and other typical signs of the COL6-RM phenotype, such as rigid spine, ligament laxity and keratosis pilaris. He did not undergo muscle and skin biopsies, but his muscle imaging showed features suggestive of a fibro-adipose infiltration of the pelvic (more evident at the level of the gluteal and tensor fascia lata muscles) and of the thigh muscles, with sparing of the sartorius, gracilis and intermediate portion of the long adductor muscles. In the leg, an adipose infiltration of the most anterior parts of the lateral gastrocnemius muscle on both sides was appreciated. These patterns are usually seen in COL6-RM.
Table 1 lists features in group 2 patients (n = 27). We performed a muscle biopsy in 21 patients, and we assessed COLVI expression in six. A skin biopsy was analyzed in seven patients, and MRI was done in 16 patients (Table 1). Global clinical evaluations permitted us to exclude six patients because their weakness distribution was not typical and suggested other neurological condition, i.e., in one case, signs of an asymmetrical involvement were reported (ID 17); in another case, there were only and exclusively signs of involvement of the face muscles (ID 22).
The remaining 21 patients had a normal clinical examination, or mild myalgias, or a weakness distribution typical of COL6-RM. Four patients (ID 12, 13, 16 and 20) presented only hyperCKemia (three or more times normal values), three presented only mild myalgia associated with either laxity (ID 6) or laxity and rigid spine (ID 19) or hyperCKemia (ID 24). Eleven patients (ID 7, 9, 10, 11, 18, 21, 25, 26, 27, 28, 30) presented weakness mainly in the pelvic girdle muscles or in the pelvic and scapular girdle muscles, of which eight had at least one additional sign associated with COLVI-RM. Three patients (ID 5, 14, 25) presented an involvement of the global musculature, of which two had at least another sign associated with COLVI-RM.
As for the 21 patients in group 2, we subsequently analyzed the result of the complementary examinations when they became available. Three patients (ID 7, 18, 30) presented dystrophic signs on muscle biopsy, of which two (ID 7, 18) also presented typical muscle involvement on muscle MRI and one (ID 18) a reduced expression of COLVI in a skin biopsy (Supplementary Materials Figures S1 and S2).
Six patients (ID 9, 10, 14, 16, 21, 28) presented myopathic signs on muscle biopsy. Of these, three patients (ID 9, 14, 16) had reduced expression of collagen VI in muscle, two (ID 14, 16) also had a reduced expression of COLVI in a skin biopsy, and two (ID 10, 28) had a normal level of expression of collagen VI in muscle while it was reduced in the skin (Supplementary Materials Figures S1 and S2). In a single case (ID 21), the expression of collagen VI was not evaluated.
Four patients (ID 14, 16, 21, 28) also underwent muscle MRI, which showed typical involvement in only two patients (ID 14 and 16).
Two patients had normal muscle biopsy and MRI (ID 19, 25), but one presented a reduction in collagen VI on skin biopsy (ID 25) and one had typical clinical involvement (ID19) (Supplementary Materials Figures S1 and S2).
One patient (ID 26) did not undergo a muscle biopsy, had normal MRI and presented a reduction in collagen VI on skin biopsy (Supplementary Materials Figures S1 and S2).
The remaining nine patients (ID 5, 6, 11, 12, 13, 20, 24, 27, 29) were excluded from further evaluations for the lack of data or for clinical and imaging data poorly matching with a COL6-RM phenotype in six cases (Step IV).
To further corroborate the pathogenicity of the missense variant, we studied the effect on the protein structure for seven missense variants. We were able to carry out this study only for variants in COL6A1 and COL6A2, since the tridimensional structure of the COL6A3 protein has not yet been resolved.
All four COL6A1 variants (c.842G>A/p.G281E, c.788G>A/p.G263D, c.787G>A/p.G263S and c.1315C>T/p.R439W detected in cases ID 10, 18, 19 and 25) determined a negative variation in folding free energy (ΔΔG) between wild-type and mutant structures, indicating a destabilizing effect (Figure 4a).
Three COL6A2 variants (c.1806C>G/p.C602T, c.2785G>A/p.V929M, c.2991C>G/p.F997L detected in cases ID 14, 16 and 28, respectively) also determined a negative variation in folding free energy (ΔΔG), indicating a tendency of a destabilizing effect in one case (c.1806C>G/p.C602T found in ID 14) and a destabilizing effect in two (c.2785G>A/p.V929M, c.2991C>G/p.F997L found in ID 16 and 28, respectively) (Figure 4b).

3. Discussion

Neuromuscular pathologies are a large group of disorders including numerous rare forms presenting a broad spectrum of genetic and phenotypic variability. For this reason, a definitive diagnosis is not always easy to achieve [8,9,10,11,12].
Recent innovations in molecular genetics provide a fundamental help in the diagnostic process; however, this tool does not always provide easy-to-interpret results, and often the results do not allow a molecular diagnosis to be obtained.
An example is the heterogeneous group of COL6-RM. The COLVI genes, in particular COL6A3, are large and susceptible to genetic polymorphism, whose pathogenicity is not always easy to corroborate. This is also certainly due to the wide phenotypic heterogeneity that sometimes mimics other forms of myopathy.
To assess the real prevalence of COLVI variants in our study, we reassessed data from a five-year diagnostic work using NGS analysis in patients with symptoms or signs of suspected neuromuscular disease analyzed in multiple third-level Italian Neuromuscular disease (NMD) centers and investigated in a single laboratory.
The challenge of this work was to define a flowchart that could help to define the real pathogenicity of the COLVI variants (Figure 1). We found a 9.3% relative prevalence of variants in the COL6A1, COL6A2 and COL6A3 genes.
However, not all variants identified a pathological phenotype. Combining the strict bioinformatics scores based on ACMG grading and high-ranked CADD scores with the morphological and imaging data, we could attribute significance to most variants of uncertain significance. We cannot exclude that, in the present work, using a stringent phred-scaled CADD score, we only selected the “tip of the iceberg” and missed further COLVI involvement by dismissing hypomorphic variants potentially acting on the phenotype (e.g., group 3 patients). Our choice to select patients with mutations with a CADD > 23 was only an arbitrary choice; the mutations with a lower CADD must not be necessarily excluded in clinical practice, as they may in the future be associated with different phenotypes or represent modifiers of other myopathies. Furthermore, re-analysis of the available data in cases belonging to the latter group with class 3 mutations and CADD scores < 23 made a correlation with clinical, imaging and morphological features unlikely, unless they were minimal. However, we cannot weight in full these subtle effects, since no longitudinal evaluations were accessible to us in most of the cases.
The purpose of our study is to define a diagnostic approach comprehensive of genetic and bioinformatic analysis, clinical and imaging data and protein functional analysis. We want highlight that the outcomes of the above-mentioned analysis does not have the same weight in the diagnosis process: genetic analysis with family segregation and skin biopsy in association with bioinformatic analysis are the key driver for an accurate diagnosis.
Overall, in 7/15 cases, we could deepen our analyses of COL6A1 and COL6A2 variants with a functional approach to further comfort their pathogenetic role. Using Alpha-fold and multiple bioinformatic 3D tools, we could categorize 7 of the 14 variants on the stability of the protein. In all, we highlighted a destabilization for six (ID10 COL6A1 c.842G> A: p.G281E; ID16 COL6A2 c.2785G> A: p.V929M; ID18 COL6A1 c.788G> A/p.G263D; ID19 COL6A1 c.787G> A: p.G263S; ID25 COL6A1 c.1315C> T: p.R439W; ID28 COL6A2 c.2991C> G: p. F997L) and a tendency toward destabilization for a single variant (ID14 COL6A2 c.1806C> G: p.C602T) (Figure 4a,b).
The focused collection of detailed information is critical in assessing the significance of multiple prediction tools. In five patients, we could directly collect their clinical progression, early weakness and imaging and morphological data. Patients ID1 and ID2 are siblings with the same variant, and the expression of collagen VI on the skin biopsy was reduced. Patients 3 and 9 presented a variant described as pathogenetic in the literature [8,13,14,15,16,17], and patient 9 (but also the suggestive patient 26) presented reduced collagen VI expression in cultured skin fibroblasts (Supplementary Materials Figures S1 and S2).
The remaining three patients (ID 7, 21 and 30) had a compatible clinic phenotype and an informative muscle biopsy. In multiple cases (n = 9), the examination of MRI and histology directly supported the grading obtained from genetic studies. This informativeness and correlation is particularly useful in cases such as patients ID12, ID13 and ID20, whose clinical data were normal and insufficient complementary investigations had been carried out. However, their variants had a high CADD score and in silico analyses showed a tendency of a destabilizing effect on the protein structure.
The identification by multiple-step analyses of about 3% of cases with potentially pathogenic variants appears to be in line with previous studies in the literature, although it is probably underestimated given the lack of complete data available for most cases [18,19,20]. In a Brazilian cohort, the definitive genetic diagnosis of COL6-RM was confirmed in 2.9% of patients [20]. In another large American cohort consisting of 4656 patients with suspected limb girdle muscle disease (LGMD), the pathogenicity of variants in the COLVI genes was corroborated in 3.1% of cases [19]. However, it should be noted that, in the latter cohort, all patients presented a strength deficit with a proximal-distal gradient, a phenotypic aspect also characteristic of COL6-RM and thus suggestive of a higher diagnostic rating [19]. On the other hand, in a small Spanish cohort, the percentage of mutations in the genes coding for collagen VI appeared slightly higher (4.8%) [18], though in that study, reduced collagen VI expression in the skin was available only in a few patients (4/10), and a compatible MRI was reported in a single case.
Our study added to the allelic and clinical heterogeneity of COL6-RM. We identified 12 new variants associated with COL6-RM phenotypes and supported the pathogenicity of two previously described variants. We also found a marked clinical variability of phenotypes that ranges from typical UCMD, to intermediate pictures, to BM, or oligosymptomatic individuals. While the identification of pictures compatible with UCMD appears straightforward, the distinction between BM and intermediate phenotypes is not well-defined. We also recorded atypical phenotypes, such as a patient with a completely silent neuromuscular examination who received gene testing for the identification of a moderate hyperCKemia (ID 16, Creatine phosphokinase-CPK levels were four times the norm). Of note, patient ID28 also presented a typical involvement of the proximal musculature associated with bilateral ptosis. A similar case with BM has been described before [21] in a patient harboring a mutation in COL6A2. In this patient, the expression of collagen VI on skin and muscle biopsy has not been evaluated and muscle MRI was not performed, limiting the significance of this variant in COL6A2 and its association with ptosis and COL6-RM. However, our data appear to support the presence of ptosis in the COL6-RM phenotype, since we verified a lower expression of collagen VI on the skin of our patient. This specific case is instructive in that it is a further remark on how deep phenotyping is necessary when testing patients with neuromuscular disorders in routine laboratory screening. Furthermore, a double trouble cannot clearly be excluded; the patient might present variations in genes that we do not currently know, mutations that we may not have identified with NGS or modifying factors that we do not yet know. Ptosis, facial muscles and ophthalmoplegia/paresis, for example, were described in patients with an Ryr1 mutation, although these symptoms were described as more frequent in recessive cases than in dominant/de novo cases [22].
In clinical practice, genotype–phenotype correlations would be useful to better attribute the pathogenicity of found variants. However, our study did not allow us to identify a clear correlation between genotype and phenotype, since the sample is too small.

4. Materials and Methods

From 2016 to 2021, DNA samples from 512 patients with symptoms or signs of suspected neuromuscular disease were collected and analyzed in our genetic laboratory at the IRCCS Stella Maris. The patients were referred from neurology, pediatric or neuropediatric units of 18 different Italian neuromuscular tertiary centers, as reported elsewhere (Neurol genet).
We used the SureSelect technology (Agilent, Santa Clara, CA, USA) and SureDesign software (earray.chem.agilent.com/suredesign/) to design a multiexon amplicon panel containing a total of 241 genes known to be associated with muscular dystrophies and myopathies. To analyze the data obtained from our study, we used a routine bioinformatic pipeline that adopts the QIAGEN Clinical Insight (QCI) Interpret analysis suite (https://apps.ingenuity.com, accessed on 13 December 2021, Qiagen, Venlo, The Netherlands). To assign pathogenicity, we used the following criteria: a sequence quality score greater than 30, a read depth greater than 30, and rare occurrence in publicly available polymorphic data sets (with a minor allele frequency <0.01% for autosomal dominant and <0.1% for autosomal recessive genes), with less than one occurrence in homozygosity in gnomADv2.1 (https://gnomad.broadinstitute.org/, latest access 15 December 2020) [23]. Each variant was also studied with different bioinformatics systems, including Varsome (https://varsome.com/, accessed on 13 December 2021) [24] and Combined Annotation Dependent Depletion (CADD, https://cadd.gs.washington.edu/snv) [25]. Putatively deleterious variants were validated by PCR-based standard capillary Sanger sequencing, both in patients and in relatives whose DNA was available for segregation studies, also to determine inheritance and phases of multiple gene variants and to establish whether variants had occurred de novo. Segregation in affected and unaffected relatives made it possible to better define pathogenic variants once we had identified those more likely to be disease-causative. We considered only patients with variants in COL6 genes, excluding those with certain variants in other genes. For COL6A1, we considered transcript NM_001848, for COL6A2 transcript NM_001849 and for COL6A3 transcript NM_004369.
The interpretation of the identified variants in COL6 genes is based on current knowledge and on the ACMG classification [26]. It has been shown that the optimal CADD phred-like score cut-off is between 20 and 25 [ref PMID: 30742610]. In this study, we used a stringent CADD score cut-off (>23) and Grantham score (≥151).
Each center was asked to fill in case report form (CRF) with clinical data (general and neurological examination, distribution of weakness, presence of other symptoms related to collagenopathies, age of onset of symptoms), anamnestic data (pathological history with regard to other comorbid pathologies and possible cardiac involvement, family history), muscle biopsy report, muscle and fibroblast protein expression, blood creatine kinase assay, electromyography and MRI results of identified cases, if available.
Finally, we studied the effect of some variants on protein structure. To predict protein stability changes upon mutation, in terms of variation in folding free energy (ΔΔG) between wild-type and mutant structures, we employed nine different computational methods: DynaMut2 (PMID 32881105), ENCoM (PMID 24762569), mCSM (PMID 24281696), SDM (PMID 28525590), DUET (PMID 24829462), MUpro (PMID 16372356), CUPSAT (PMID 16845001), MAESTRO (PMID 25885774) and PremPS (PMID 33378330). Since no solved 3D structures are available for COL6A1 and COL6A2 proteins in the Protein Data Bank (https://www.rcsb.org/), the predicted 3D protein structures were sourced from AlphaFold Protein Structure Database (https://alphafold.ebi.ac.uk/, PMID 34265844). 3D structures of COL6A3 are not available in any database.

5. Conclusions

To the best of our knowledge, this is the first study that systematically used a multiple integrated level of information to prioritize variants in COL6-RM genes in routine diagnostic practice. This study underlines the need to accurately collect clinical data and complementary examinations (such as muscle and skin biopsy, study of expression of COLVI on fibroblast or muscle and muscle magnetic resonance) and to combine such data at multiple levels through shared registers.
Although with several limitations, including lack of complete complementary studies available to all patients, poor segregation studies in the families, and the absence of protein studies in silico or in vitro for most cases, our study contributed to define about 3% of causative patients in real-world NGS-based diagnosis, an information critical when new therapeutic opportunities are able to halt or limit the muscular damage in COL6-RM.

Supplementary Materials

The supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms232314567/s1.

Author Contributions

Conceptualization, G.M. and G.A.; methodology, G.M., G.A. and A.R.; software, D.C., D.G. and S.D.; validation, R.B. and F.M.S.; formal analysis, G.M.; investigation, G.M., G.A., B.B., S.D., M.F., S.G., F.G., D.L., M.A.M., F.M. (Francesca Magri), A.M., P.M., F.M. (Francesco Mari), R.M., S.M., F.M. (Federico Melani), M.M., T.E.M., R.P., E.P., F.R., G.R., C.R., G.S., M.S., C.T. and P.T.; resources, G.M., G.A., B.B., S.D., M.F., S.G., F.G., D.L., M.A.M., F.M. (Francesca Magri), A.M., P.M., F.M. (Francesco Mari), R.M., S.M., F.M. (Federico Melani), M.M., T.E.M., R.P., E.P., F.R., G.R., C.R., G.S., M.S., C.T. and P.T.; data curation, G.M., R.B. and F.M.S.; writing—original draft preparation, G.M. and G.A.; writing—review and editing, G.A., A.R., R.B., F.M.S., S.M. and D.L.; visualization, G.A., A.R., R.B. and F.M.S.; supervision, R.B. and F.M.S.; project administration, R.B. and F.M.S.; funding acquisition, R.B. and F.M.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Ricerca corrente 2022 and RC 5x1000. This work was in part supported by a grant from the research project INGENE2.0. INGENE2.0 is funded by Tuscany region under the “Bando Ricerca e Salute 2018”. This study was partially supported by Telethon (GSP18002). This work was promoted within the European Reference Network (ERN) for neuromuscular diseases. This study was (partially) funded by the Italian Ministry of Health—Current research IRCCS Cà Granda Ospedale Maggiore Policlinico.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by Tuscany regional pediatric Ethics Committee (Protocol code: INGENE2.0 date of approval 30 June 2020).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. Written informed consent was obtained from the patient(s) to publish this paper.

Acknowledgments

EP, author of this publication, is member of the European Reference Network for Neuromuscular Diseases—Project ID N° 870177.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Allamand, V.; Briñas, L.; Richard, P.; Stojkovic, T.; Quijano-Roy, S.; Bonne, G. ColVI myopathies: Where do we stand, where do we go? Skelet. Muscle 2011, 1, 30. [Google Scholar] [CrossRef] [Green Version]
  2. Graziano, A.; Bianco, F.; D’Amico, A.; Moroni, I.; Messina, S.; Bruno, C.; Pegoraro, E.; Mora, M.; Astrea, G.; Magri, F.; et al. Prevalence of congenital muscular dystrophy in Italy: A population study. Neurology 2015, 84, 904–911. [Google Scholar] [CrossRef] [Green Version]
  3. Fu, J.; Zheng, Y.-M.; Jin, S.-Q.; Yi, J.-F.; Liu, X.-J.; Lyn, H.; Wang, Z.-X.; Zhang, W.; Xiao, J.-X.; Yuan, Y. ‘Target’ and ‘sandwich’ signs in thigh muscles have high diagnostic values for collagen VI-related myopathies. Chin. Med. J. 2016, 129, 1811–1816. [Google Scholar] [CrossRef]
  4. Mercuri, E.; Lampe, A.; Allsop, J.; Knight, R.; Pane, M.; Kinali, M.; Bonnemann, C.; Flanigan, K.; Lapini, I.; Bushby, K.; et al. Muscle MRI in Ullrich congenital muscular dystrophy and Bethlem myopathy. Neuromuscul. Disord. 2005, 15, 303–310. [Google Scholar] [CrossRef]
  5. Mercuri, E.; Clements, E.; Offiah, A.; Pichiecchio, A.; Vasco, G.; Bianco, F.; Berardinelli, A.; Manzur, A.; Pane, M.; Messina, S.; et al. Muscle magnetic resonance imaging involvement in muscular dystrophies with rigidity of the spine. Ann. Neurol. 2010, 67, 201–208. [Google Scholar] [CrossRef] [PubMed]
  6. Aguti, S.; Bolduc, V.; Ala, P.; Turmaine, M.; Bönnemann, C.G.; Muntoni, F.; Zhou, H. Exon-Skipping Oligonucleotides Restore Functional Collagen VI by Correcting a Common COL6A1 Mutation in Ullrich CMD. Mol. Ther.-Nucleic Acids 2020, 21, 205–216. [Google Scholar] [CrossRef]
  7. Bolduc, V.; Foley, A.R.; Solomon-Degefa, H.; Sarathy, A.; Donkervoort, S.; Hu, Y.; Chen, G.S.; Sizov, K.; Nalls, M.; Zhou, H.; et al. A recurrent COL6A1 pseudoexon insertion causes muscular dystrophy and is effectively targeted by splice-correction therapies. JCI Insight 2019, 4, e124403. [Google Scholar] [CrossRef] [Green Version]
  8. Briñas, L.; Richard, P.; Quijano-Roy, S.; Bs, C.G.; Bs, C.L.; Bs, E.L.; Makri, S.; Ferreiro, A.; Bs, S.M.; Topaloglu, H.; et al. Early onset collagen VI myopathies: Genetic and clinical correlations. Ann. Neurol. 2010, 68, 511–520. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Eymard, B.; Ferreiro, A.; Yaou, R.B.; Stojkovic, T. Muscle diseases with prominent joint contractures: Main entities and diagnostic strategy. Rev. Neurol. 2013, 69, 546–563. [Google Scholar] [CrossRef] [PubMed]
  10. Hicks, D.; Lampe, A.K.; Barresi, R.; Charlton, R.; Fiorillo, C.; Bonnemann, C.G.; Hudson, J.; Sutton, R.; Lochmuller, H.; Straub, V.; et al. A refined diagnostic algorithm for Bethlem myopathy. Neurology 2008, 70, 1192–1199. [Google Scholar] [CrossRef]
  11. Kim, S.Y.; Kim, W.J.; Kim, H.; Choi, S.A.; Lee, J.S.; Cho, A.; Jang, S.S.; Lim, B.C.; Kim, K.J.; Kim, J.-I.; et al. Collagen VI-related myopathy: Expanding the clinical and genetic spectrum. Muscle and Nerve 2018, 58, 381–388. [Google Scholar] [CrossRef]
  12. Suárez, B.; Lozano-Arango, A.; Araneda, D.; Cortes, F.; Hervias, C.; Calcagno, G.; Ortega, X.; Castiglioni, C. Collagen VI related myopathies. When to suspect, how to identify. the contribution of muscle magnetic resonance. Rev. Chil. Pediatr. 2018, 89, 399–408. [Google Scholar] [CrossRef] [Green Version]
  13. Deconinck, N.; Dion, E.; Ben Yaou, R.; Ferreiro, A.; Eymard, B.; Briñas, L.; Payan, C.; Voit, T.; Guicheney, P.; Richard, P.; et al. Differentiating Emery-Dreifuss muscular dystrophy and collagen VI-related myopathies using a specific CT scanner pattern. Neuromuscul. Disord. 2010, 20, 517–523. [Google Scholar] [CrossRef]
  14. Deconinck, N.; Richard, P.; Allamand, V.; Behin, A.; Laforet, P.; Ferreiro, A.; de Becdelievre, A.; Ledeuil, C.; Gartioux, C.; Nelson, I.; et al. Bethlem myopathy: Long-term follow-up identifies COL6 mutations predicting severe clinical evolution. J. Neurol. Neurosurg. Psychiatry 2015, 86, 1337–1346. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Fan, Y.; Liu, A.; Wei, C.; Yang, H.; Chang, X.; Wang, S.; Yuan, Y.; Bonnemann, C.; Wu, Q.; Wu, X.; et al. Genetic and clinical findings in a Chinese cohort of patients with collagen VI-related myopathies. Clin. Genet. 2018, 93, 1159–1171. [Google Scholar] [CrossRef]
  16. Quijano-Roy, S.; Khirani, S.; Colella, M.; Ramirez, A.; Aloui, S.; Wehbi, S.; de Becdelievre, A.; Carlier, R.; Allamand, V.; Richard, P.; et al. Diaphragmatic dysfunction in Collagen VI myopathies. Neuromuscul. Disord. 2014, 24, 125–133. [Google Scholar] [CrossRef]
  17. Stehlíková, K.; Skálová, D.; Zídková, J.; Haberlová, J.; Voháňka, S.; Mazanec, R.; Mrázová, L.; Vondráček, P.; Ošlejšková, H.; Zámečník, J.; et al. Muscular dystrophies and myopathies: The spectrum of mutated genes in the Czech Republic. Clin. Genet. 2017, 91, 463–469. [Google Scholar] [CrossRef]
  18. Gonzalez-Quereda, L.; Rodriguez, M.J.; Diaz-Manera, J.; Alonso-Perez, J.; Gallardo, E.; Nascimento, A.; Ortez, C.; Benito, D.N.-D.; Olive, M.; Gonzalez-Mera, L.; et al. Targeted next-generation sequencing in a large cohort of genetically undiagnosed patients with neuromuscular disorders in Spain. Genes 2020, 11, 539. [Google Scholar] [CrossRef]
  19. Nallamilli, B.R.R.; Chakravorty, S.; Kesari, A.; Tanner, A.; Ankala, A.; Schneider, T.; da Silva, C.; Beadling, R.; Alexander, J.J.; Askree, S.H.; et al. Genetic landscape and novel disease mechanisms from a large LGMD cohort of 4656 patients. Ann. Clin. Transl. Neurol. 2018, 5, 1574–1587. [Google Scholar] [CrossRef] [PubMed]
  20. Zanoteli, E.; Soares, P.S.; da Silva, A.M.S.; Camelo, C.G.; Fonseca, A.T.Q.S.M.; Albuquerque, M.A.V.; Moreno, C.A.M.; Neto, O.L.A.; Filho, G.M.N.; Kulikowski, L.D.; et al. Clinical features of collagen VI-related dystrophies: A large Brazilian cohort. Clin. Neurol. Neurosurg. 2020, 192, 105734. [Google Scholar] [CrossRef] [PubMed]
  21. Huynh, W.; Davis, M.R. Facial weakness and eyelid ptosis: Expanding the clinical heterogeneity of Bethlem myopathy from a novel gene mutation. Muscle Nerve. 2017, 55, E2–E3. [Google Scholar] [CrossRef] [Green Version]
  22. Todd, J.J.; Sagar, V.; Lawal, T.A.; Allen, C.; Razaqyar, M.S.; Shelton, M.S.; Chrismer, I.C.; Zhang, X.; Cosgrove, M.M.; Kuo, A.; et al. Correlation of phenotype with genotype and protein structure in RYR1-related disorders. J. Neurol. 2018, 265, 2506–2524. [Google Scholar] [CrossRef]
  23. Rubegni, A.; Malandrini, A.; Dosi, C.; Astrea, G.; Baldacci, J.; Battisti, C.; Bertocci, G.; Donati, M.A.; Dotti, M.T.; Federico, A.; et al. Next-generation sequencing approach to hyperCKemia: A 2-year cohort study. Neurol. Genet. 2019, 5, e352. [Google Scholar] [CrossRef] [Green Version]
  24. Kopanos, C.; Tsiolkas, V.; Kouris, A.; Chapple, C.E.; Aguilera, M.A.; Meyer, R.; Massouras, A. VarSome: The human genomic variant search engine. Bioinformatics 2019, 35, 1978–1980. [Google Scholar] [CrossRef] [Green Version]
  25. Rentzsch, P.; Witten, D.; Cooper, G.M.; Shendure, J.; Kircher, M. CADD: Predicting the deleteriousness of variants throughout the human genome. Nucleic Acids Res. 2019, 47, D886–D894. [Google Scholar] [CrossRef]
  26. Richards, S.; Aziz, N.; Bale, S.; Bick, D.; Das, S.; Gastier-Foster, J.; Grody, W.W.; Hegde, M.; Lyon, E.; Spector, E.; et al. 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. 2015, 17, 405–424. [Google Scholar] [CrossRef]
Figure 1. Diagnostic flowchart divided into five progressive steps: Step I Next-generation sequencing (NGS) analysis; Step II CADD score; Step III clinical data; Step IV complementary studies (such as muscle and skin biopsy, study of expression of COLVI on fibroblast or muscle and muscle magnetic resonance); and Step V predicted stability change.
Figure 1. Diagnostic flowchart divided into five progressive steps: Step I Next-generation sequencing (NGS) analysis; Step II CADD score; Step III clinical data; Step IV complementary studies (such as muscle and skin biopsy, study of expression of COLVI on fibroblast or muscle and muscle magnetic resonance); and Step V predicted stability change.
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Figure 2. Graph showing the dispersion of variants (x-axis) according to the CADD score (y-axis). The points in purple represent the homozygous variants, the points in ocher the heterozygous variants with a CADD score greater than 23 (Group 2) and the points in blue the heterozygous variants with a CADD score less than 23 not covered by our study.
Figure 2. Graph showing the dispersion of variants (x-axis) according to the CADD score (y-axis). The points in purple represent the homozygous variants, the points in ocher the heterozygous variants with a CADD score greater than 23 (Group 2) and the points in blue the heterozygous variants with a CADD score less than 23 not covered by our study.
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Figure 3. Axial T1 SE imaging of patient ID 1 that shows: marked and widespread fibro-adipose substitution of muscles (grading 3/4 according to “Mercuri score”) at the level of the pelvis (A,B); wide and marked involvement with a latero-mesial gravity gradient of thighs (C); wide and marked involvement of leg muscles (D).
Figure 3. Axial T1 SE imaging of patient ID 1 that shows: marked and widespread fibro-adipose substitution of muscles (grading 3/4 according to “Mercuri score”) at the level of the pelvis (A,B); wide and marked involvement with a latero-mesial gravity gradient of thighs (C); wide and marked involvement of leg muscles (D).
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Figure 4. Representation of the prediction change in stability of subunits A1 (a) and A2 (b) of COLVI due to the missense identified in this study. Variation in folding free energy (∆∆G) is predictors of protein stability changes upon single-point variations: ΔΔG > 1.0 indicate a probable stabilizing effect; 0.5 < ΔΔG < 1.0 indicate a likely stabilizing effect; −0.5 < ΔΔG < 0.5 indicate no significant change in stability; −1.0 < ΔΔG < −0.5 indicate a likely destabilizing effect; ΔΔG < −1.0 indicate a probable destabilizing effect.
Figure 4. Representation of the prediction change in stability of subunits A1 (a) and A2 (b) of COLVI due to the missense identified in this study. Variation in folding free energy (∆∆G) is predictors of protein stability changes upon single-point variations: ΔΔG > 1.0 indicate a probable stabilizing effect; 0.5 < ΔΔG < 1.0 indicate a likely stabilizing effect; −0.5 < ΔΔG < 0.5 indicate no significant change in stability; −1.0 < ΔΔG < −0.5 indicate a likely destabilizing effect; ΔΔG < −1.0 indicate a probable destabilizing effect.
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Table 1. Description of phenotype and genotype of 30 selected patients (three with homozygous variants and 27 with CADD score variants above 23). Het = heterozygous, wt = wild-type, x= present.
Table 1. Description of phenotype and genotype of 30 selected patients (three with homozygous variants and 27 with CADD score variants above 23). Het = heterozygous, wt = wild-type, x= present.
IDAge OnsetGenderGeneMutationCADD-ScoreVarsomeMuscle WeaknessJoint LaxityContracture or Retraction of Achilleus TendonRigid Spine
Scoliosis
Hip Alt.
Skin SignLung Alt.CK ElevationMuscle Biopsy and COLVI ExpressionSkin Biopsy and COLVI ExpressionMuscle Magnetic ResonanceSegregation
1CongenitalFCOL6A3c.7176delG:
p.G2392fs* homo
29.2PathogenicGlobal
(>shoulder and pelvic girdle)
xx x mildMyopathic sign; COLVI reductionReductionTypicalFather and mother het
2CongenitalMCOL6A3c.7176delG:
p.G2392fs* homo
29.2PathogenicGlobal
(>shoulder and pelvic girdle)
xx xxmildN/AN/AN/AFather and mother het
314MCOL6A2c.1970-9G>A homo22.1Likely pathogenicPelvic girdlex xx NormalN/AN/ATypicalFather and mother het
458MCOL6A1c.3013C>T:
p.R1005C
32Uncertain significanceDistal muscles of leg NormalMyopathic signN/ANormalN/A
560MCOL6A2c.2474C>T:
p.A825V
25.3Uncertain significanceGlobal NormalMyopathic sign; COLVI normalN/ANormalN/A
6N/AFCOL6A2c.791G>A:
p.R264H
29.3Likely PathogenicMyalgia, generalized astheniax NormalN/AN/AAtypicalN/A
744MCOL6A2c.2461+1G>A33PathogenicShoulder and pelvic girdle (>pelvic) N/ADystrophic signsN/ATypicalN/A
865FCOL6A1c.3006C>A:
p.H1002Q
25.2Uncertain significanceDistal muscles of arm and leg N/AN/AN/AN/AN/A
9CongenitalFCOL6A3c.6210+1G>A34PathogeneticGlobal
(>shoulder and pelvic girdle)
x mildMyopathic sign; COLVI reductionNormalN/AN/A
10CongenitalMCOL6A1c.842G>A:
p.G281E
27.7Likely pathogenicGlobal
(>shoulder and pelvic girdle)
xxx mildMyopathic sign; COLVI normalIntracellular distributionN/AN/A
1140MCOL6A3c.2029C>T:
p.R677C
32Uncertain significanceTrunk, shoulder and pelvic girdle severeAtypical signN/AAtypicalN/A
1213FCOL6A2c.1358G>A:
p.R453H
29.2Likely PathogenicNormal EpisodicN/AN/AN/AN/A
13N/AMCOL6A2c.1395+2T>C32PathogenicNormal severeN/AN/AN/AN/A
14CongenitalFCOL6A2c.1806C>G:
p.C602T
27.6Uncertain SignificanceGlobalxxx normalMyopathic sign; COLVI reductionReductionTypicalFather het
1542FCOL6A3c.4121A>T:
p.D1374V
26Uncertain significanceDistal muscles of leg lowMyopathic signN/AN/AN/A
1617MCOL6A2c.2785G>A:
p.V929M
23.4Uncertain SignificanceNormal moderateMyopathic sign; COLVI reductionReductionTypicalN/A
1775MCOL6A3c.6224C>T:
p.P2075L
24.2Uncertain SignificanceRight shoulder girdle and orbicular muscles severeAtypical signN/AN/AN/A
18CongenitalFCOL6A1c.788G>A:
p.G263D
23.9Likely pathogenicGlobal
(>shoulder and pelvic girdle)
x mildDystrophic signsReductionTypicalParents wt
196MCOL6A1c.787G>A:
p.G263S
24Likely pathogenicMyalgiax x severeNormalN/ANormalN/A
204FCOL6A3c.2845G>A:
p.A949T
24.2Uncertain SignificanceNormal moderateMyopathic signN/AN/AN/A
21CongenitalFCOL6A3c.8359G>A:
p.A2787T
23.4Uncertain SignificanceShoulder and pelvic girdlex x xnormalMyopathic signN/ANormalN/A
224FCOL6A3c.8009C>T:
p.A2670V
23Likely pathogeneticOrbicular muscles normalAtypical signN/ANormalN/A
2360FCOL6A1c.2635A>G:
p.S879G
23Uncertain SignificanceTrunk, shoulder girdle and facial muscles moderateMyopathic signN/AN/AN/A
2440FCOL6A2c.2182G>A:
p.V728M
24.8Uncertain SignificanceMyalgia severeAtypical signN/ANormalN/A
25CongenitalFCOL6A1c.1315C>T:
p.R439W
23.7Likely pathogenicTrunk, shoulder and pelvic girdle xx xNormalNormalReductionNormalMother het
26CongenitalFCOL6A3c.787G>A: p.D263N23.5Uncertain SignificancePelvic girdlex xx NormalN/AReductionNormalFather het
27CongenitalMCOL6A2c.2950G>A:
p.V984M
23.2Uncertain SignificancePelvic girdlex NormalN/ANormalAtypicalFather het
2811MCOL6A2c.2991C>G:
p.F997L
24.8Uncertain SignificancePelvic girdle (ptosis) MildMyopathic sign;
COLVI normal
ReductionNormalParents wt
2930MCOL6A3c.2212A>T:
p.R738W
24.8Uncertain SignificanceGlobal
(ptosis)
x MildInflammatory signsN/AAtypicalN/A
3040MCOL6A3c.7258C>T:
p.R2420W
23.3Uncertain SignificanceShoulder and pelvic girdle xx SevereDystrophic signsN/AN/AN/A
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Marinella, G.; Astrea, G.; Buchignani, B.; Cassandrini, D.; Doccini, S.; Filosto, M.; Galatolo, D.; Gallone, S.; Giannini, F.; Lopergolo, D.; et al. A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing. Int. J. Mol. Sci. 2022, 23, 14567. https://doi.org/10.3390/ijms232314567

AMA Style

Marinella G, Astrea G, Buchignani B, Cassandrini D, Doccini S, Filosto M, Galatolo D, Gallone S, Giannini F, Lopergolo D, et al. A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing. International Journal of Molecular Sciences. 2022; 23(23):14567. https://doi.org/10.3390/ijms232314567

Chicago/Turabian Style

Marinella, Gemma, Guja Astrea, Bianca Buchignani, Denise Cassandrini, Stefano Doccini, Massimiliano Filosto, Daniele Galatolo, Salvatore Gallone, Fabio Giannini, Diego Lopergolo, and et al. 2022. "A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing" International Journal of Molecular Sciences 23, no. 23: 14567. https://doi.org/10.3390/ijms232314567

APA Style

Marinella, G., Astrea, G., Buchignani, B., Cassandrini, D., Doccini, S., Filosto, M., Galatolo, D., Gallone, S., Giannini, F., Lopergolo, D., Maioli, M. A., Magri, F., Malandrini, A., Mandich, P., Mari, F., Massa, R., Mata, S., Melani, F., Moggio, M., ... Battini, R. (2022). A Schematic Approach to Defining the Prevalence of COL VI Variants in Five Years of Next-Generation Sequencing. International Journal of Molecular Sciences, 23(23), 14567. https://doi.org/10.3390/ijms232314567

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