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Article

E-Learning for Rare Diseases: An Example Using Fabry Disease

by
Chiara Cimmaruta
1,
Ludovica Liguori
2,3,
Maria Monticelli
1,
Giuseppina Andreotti
2,* and
Valentina Citro
1
1
Dipartimento di Biologia, Università Federico II, 80126 Napoli, Italy
2
Istituto di Chimica Biomolecolare, Consiglio Nazionale delle Ricerche, Comprensorio Olivetti, Edificio 70, Via Campi Flegrei 34, 80078 Pozzuoli, Italy
3
Dipartimento di Scienze e Tecnologie Ambientali, Biologiche e Farmaceutiche, Università della Campania “Luigi Vanvitelli”, 81100 Caserta, Italy
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2017, 18(10), 2049; https://doi.org/10.3390/ijms18102049
Submission received: 13 September 2017 / Revised: 20 September 2017 / Accepted: 21 September 2017 / Published: 24 September 2017
(This article belongs to the Special Issue Rare Diseases: Molecular Mechanisms and Therapeutic Strategies)

Abstract

:
Background: Rare diseases represent a challenge for physicians because patients are rarely seen, and they can manifest with symptoms similar to those of common diseases. In this work, genetic confirmation of diagnosis is derived from DNA sequencing. We present a tutorial for the molecular analysis of a rare disease using Fabry disease as an example. Methods: An exonic sequence derived from a hypothetical male patient was matched against human reference data using a genome browser. The missense mutation was identified by running BlastX, and information on the affected protein was retrieved from the database UniProt. The pathogenic nature of the mutation was assessed with PolyPhen-2. Disease-specific databases were used to assess whether the missense mutation led to a severe phenotype, and whether pharmacological therapy was an option. Results: An inexpensive bioinformatics approach is presented to get the reader acquainted with the diagnosis of Fabry disease. The reader is introduced to the field of pharmacological chaperones, a therapeutic approach that can be applied only to certain Fabry genotypes. Conclusion: The principle underlying the analysis of exome sequencing can be explained in simple terms using web applications and databases which facilitate diagnosis and therapeutic choices.

Graphical Abstract

1. Introduction

A rare disease is any disease that affects only a small percentage of the population, occurring at a frequency of 1/2000 according to the most recent guidelines [1]. There are more than 6000 of these diseases, of which 5081 have a known phenotype description and molecular basis, while 1597 have a known phenotype description or locus with the molecular basis unknown, according to OMIM (Online Mendelian Inheritance in Men) [2]. Although these disease are individually rare, they affect a great number of people on the whole. Eighty per cent of these diseases are of genetic origin, and they are often chronic and life-threatening.
Each rare disease can have different genotypes and a large pheno-typical spectrum. Non-sense mutations, deletions, and insertions abolish the function of the affected protein, but missense mutations have variable effects that go from complete inactivation to mild reduction of activity. On average there are 10–12 missense mutations per disease, but in some cases there are hundreds. Bare figures give a sense of the great challenge represented by rare diseases both in terms of diagnosis and therapy. Understanding rare diseases at a genetic level is essential in order to search for personalized therapies for patients. Recent progress in exome sequencing and bioinformatics is helping in this challenge. We will use Fabry disease as an example to show how freely available web applications and databases can be used for diagnosis and personalized therapy.
Fabry disease (FD) (OMIM: 3015000) is a lysosomal storage disorder which is X-linked and relatively frequent, affecting 1–5 individuals per 10,000 (Orphanet: 324). Mutations of the gene encoding lysosomal α-galactosidase, with the official identifiers of the gene and the enzyme being GLA and α-galactosidase A (AGAL), respectively, cause the accumulation of the unprocessed substrate globotriaosylceramide (Gb3) and its derivatives within the lysosomes [3]. The large phenotypic and genotypic spectra of the disease represent a great challenge for clinicians. In severe cases, often referred to as classic FD, the first specific signs appearing in childhood or adolescence are angiokeratoma, cornea verticillata, neuropathic pain, acroparesthesias, and hypohidrosis. These symptoms are followed by progressive proteinuric renal insufficiency and rhythm and conductance disorders, with progressive hypertrophic cardiomyopathy and cerebrovascular stroke [4,5,6]. In mild cases, often referred to as atypical FD, patients retain some AGAL activity and are asymptomatic until adulthood, when they show only some symptoms. Residual activity of the mutant enzyme can help distinguish non-pathological, mild, and severe genotypes [7]. Since the age of onset can be late and its complications (such as cardiac manifestations, stroke and chronic renal disease) are very similar to those of other very common disorders, FD may be under-diagnosed and higher estimates have been put forward [8,9,10].
More than 700 variants have been reported for GLA so far [11] and, in contrast to other lysosomal disorders such as Gaucher’s disease [12], there are no prevalent mutations. In fact, most are usually found only in a single family. Therefore, it is not uncommon for a clinician to find a new variant. In case of a missense mutation, this represents a problem. Should the new variant be considered a benign polymorphism or a disease mutation? In the second case, does it cause severe or mild phenotype? Should the carrier be treated and with which therapy?
At present, the treatments of FD are symptomatic and life-long. So far, enzymatic replacement therapy (ERT) is the only approved therapy. This therapy involves intravenous infusions of purified recombinant AGAL every 2 weeks [13]. Early initiation of ERT, even before symptoms appear, has been suggested because irreversible organ damage, cardiac fibrosis, or severe renal dysfunction render the therapy ineffective [14,15,16]. A novel oral drug is the iminosugar-resembling galactose migalastat (1-deoxygalactonojirimycin (DGJ)). This drug is known by the commercial name of Galafold™, and is entering clinical practice [17,18,19]. It is interesting to remember that iminosugars represent a successful example of drug repositioning [20]. In fact, they were originally developed with the aim of curing HIV [21]. Clinical trials for the treatment of HIV were unsuccessful because the antiviral concentration required could not be achieved in man. Unexpectedly, it was found that imino sugars had an additional property, the inhibition of glycosphingolipid biosynthesis [22], and they acted as a pharmacological chaperone [23,24]. Pharmacological chaperones are able to stabilize some mutant forms. DGJ stabilizes AGAL, preventing early degradation by intracellular machineries and increasing their total intracellular levels [25]. Regrettably, therapy with pharmacological chaperones can be used only for some missense mutations and certainly not for those occurring in the active site of the enzyme.
In this work, on obtaining nucleotide data from a patient by exon sequencing, the reader will become familiar with several databases and bioinformatics tools and will be lead to formulate a diagnosis and a therapeutic proposal.

2. Results

The case is of an adolescent male patient who is affected by angiokeratoma and mild proteinurea. His parents are apparently healthy. There is a suspicion of Fabry disease and, if the diagnosis is confirmed, the clinician should decide whether it is a classic (severe) or an atypical (mild) form and whether a therapy should be started before other symptoms appear. In this case, a choice would need to be made between two types of intervention: ERT, or pharmacological chaperones.
Confirmation of the diagnosis can be carried out through sequencing the exons of the GLA gene or those of a restricted panel of genes that are associated with the symptoms of the patient. The appropriate assays can be found by searching by condition/phenotypes in the genetic testing registry (https://www.ncbi.nlm.nih.gov/gtr/tests/). This tutorial starts from a short sequence of DNA that could be derived from next-generation sequencing.
Data obtained following the tutorial are presented in the methods section. In brief, a variant is found mapping the exonic sequences derived from the patient on the reference human genome using the program BLAT. Most variants are not associated with disease. Usually it is assumed that if a nucleotide change results in a synonymous codon, it is benign. Therefore, it is necessary to understand whether the mutation affects the protein product. Indeed, the transition observed in the GLA gene of the patient, G>A (Figure 1), generates a missense mutation in AGAL, p.V269M (Figure 2).
This mutation is not reported in UniProt (“Pathology & Biotech” section), or ExAC (a database for alternative allele frequencies [26]), nor is it reported in OMIM® [2] and ClinVar [27]). It is predicted as being pathogenic according to PolyPhen-2 [28] (Figure 3). p.V269M might represent a novel case.
Although purposely simplified, the example presented so far illustrates the generic pipeline that is followed for the analysis of a disease mutation. In order to go into the diagnosis in more depth and personalize the therapy, more must be learnt about the affected protein and the specific disease.
UniProt is a manually curated and annotated protein database that can be searched with the accession code provided by BlastX, P06280.1. Scrolling the UniProt page one can learn that:
(1)
Alpha-galactosidase A (AGAL) is encoded by the gene GLA (in the header of the file).
(2)
AGAL has catalytic activity: “Hydrolysis of terminal, non-reducing α-d-galactose residues in α-d-galactosides, including galactose oligosaccharides, galactomannans and galactolipids.” (in the “Function” section).
(3)
AGAL is involved in a disease, Fabry disease (FD). A link to OMIM [2] (301500) provides clinical information about the disease (“Pathology & Biotech: Involvement in disease” section).
(4)
AGAL has a pharmaceutical use: “Available under the names Replagal® (from Shire) and Fabrazyme® (from Genzyme). Used as a long-term enzyme replacement therapy in patients with a confirmed diagnosis of Fabry disease. The differences between Replagal® (also known as agalsidase alpha) and Fabrazyme® (also known as agalsidase beta) lie in the glycosylation patterns. Agalsidase alpha is produced in the hamster CHO cell line while agalsidase alpha is produced in human cell lines.” (“Pathology & Biotech: Pharmaceutical use” section).
(5)
Another therapy is available for FD. A link to DrugBank (“Pathology & Biotech: Chemistry databases” section) [29] (DB05018) provides some details about the drug and summarizes its mechanism of action: “migalastat hydrochloride is an experimental, oral therapy for the treatment of Fabry disease and belongs to a class of molecules known as pharmacological chaperones”. Indeed, migalastat hydrochloride or 1-deoxygalactonojirimycin (DGJ) is a pharmacological chaperone for FD; it stabilizes wild type AGAL as well as some mutant forms. Mutations affecting the active site or cysteines involved in disulphide bridge formation do not respond. These conditions are necessary, but not sufficient to exclude the usefulness of migalastat [30]. In general, each mutation must be experimentally tested; the techniques needed for analysis have been extensively described elsewhere [31,32,33] but are outside the scope of this tutorial.
Once the reader has been introduced to the disease and has become acquainted with the main genetic and biochemical aspects, he can move onto disease-specific databases by looking for them in PubMed. Two references point to on-line user-friendly databases. On searching fabry-database.org (Figure 4) the reader learns that this missense mutation in AGAL p.V269M has already been reported in the literature [34,35,36] and is associated to the classic phenotype, thus confirming the prediction of PolyPhen-2. The mutation is also annotated [37] in the manually-curated database of disease-associated variants HGMD (The Human Gene Mutation Database) [11]. It should be remembered that when a new variant, which is not included in any of the data bases of clinical phenotype, is found, it is advisable to perform a biopsy to obtain a definitive diagnosis [38].
Fabry_CEP is a specialized database that reports data found in the literature concerning the residual activity in cells of each possible AGAL mutant with or without the pharmacological chaperone DGJ [39]. References are provided and, in case no experimental data are available, the probability of being responsive is provided. When Fabry_CEP is queried with the mutation p.V269M, it returns experimental results (Figure 5), numerical values of activity with standard deviation obtained by three independent groups [32,40,41], and information provided by the group that commercializes migalastat under the registered name of Galafold®. Experimental conditions are slightly different, but in all cases the mutation is responsive to the drug. The estimate of the residual activity of the mutant enzyme in cells is low and confirms that the phenotype can be classic. Besides these data obtained from the literature, the reader will learn that the mutation does not occur in the active site (this result was obtained running the program DrosteP [42] on the X-ray structure of AGAL).

3. Discussion

The tutorial we presented shows how a variant found in a patient can be critically evaluated to graduate diagnosis and personalize the therapy. We chose FD as an example, but the approach is not limited to this disease. Some emerging questions were raised. In the first place, the clinician could encounter a variant that is not (yet) among disease mutations in the most frequently consulted databases. This can occur either because the variant is new or because it has been described in medical literature, but has not yet been included. This problem can be solved by predicting the association with disease and/or looking for disease-specific databases. In addition to this, the clinician should check whether the mutation is associated to a severe phenotype and if a mutation-specific therapy exists. FD represents a successful example of the use of pharmacological chaperones. This approach, which is definitely limited to a subset of missense mutations, is not limited to FD, and is being assessed with respect to other lysosomal [43,44] and metabolic disorders [45,46,47,48] as well.
The diagnosis of rare diseases takes advantage of the sequence of the DNA of the patient alone or of the so-called trios in which data from parents are obtained too. The analysis can be extended to the whole genome or exome, or limited to a panel of genes or to the exons of a single gene. The huge amount of data, particularly in the case of genome or exome sequencing, requires the help of experts who can run pipelines of specific dedicated software. Yet, in the end, when the number of candidate variants is restricted, it is up to the clinician to make a diagnosis critically and choose the therapy. We have shown that this is possible because user-friendly web applications and databases can be used without specific bioinformatics training.

4. Methods

4.1. Aims

The reader will get familiar with databases and programs that are used during exome sequencing analysis and with disease-specific tools. Only a basic knowledge of genetics and biochemistry is required. The tutorial will start from the results of an analysis of the DNA of a hypothetical male patient. It will proceed with variant calling, identification of the type of mutation, and prediction of its pathogenic nature. Information about the affected protein and potential therapies will be gained.

4.2. Requirements

It is an in silico experience and only a computer with an internet connection is required.
A list of bioinformatics tools which do not require registration and have the advantages of enabling fast, low-cost, and reliable analysis of biological data with user-friendly interfaces is provided.

4.3. Input Exonic Sequence

We assume that the sequence has been obtained from a male patient:
ttaatgattggcaactttggcctcagctggaatcagcaagtaactcagatggccctctgggctatcatggctgctcc

4.4. Protocol

Step 1. Variant Calling
The nucleotide sequence will be mapped on the human reference genome.
(1)
Open the UCSC genome browser and choose among the BLAT tools (Figure 6A, point 1).
(2)
The latest assembly of the HUMAN genome is chosen by default and does not need to be changed. An overview of how the program BLAT works is offered in the search page. Paste the given sequence into the Query Sequence box (Figure 6B, point 2).
(3)
Submit (Figure 6B, point 3).
The output is a list of significant hits. The highest score is obtained mapping the sequence on the X chromosome. Clicking on “details” (Figure 6C, point 4) a side-by-side alignment of the patient’s sequence with the reference genome is obtained. A transition A>G is observed (Figure 1).
Step 2. Is it a missense, nonsense, or a synonymous mutation?
The sequence will be translated to check in the protein database UniProt whether the mutation has an effect on the gene product.
(1)
Go to BLAST and choose BlastX. The program searches protein databases using a translated nucleotide query.
(2)
Enter the patient’s sequence in the query box (Figure 7, point 1), choose UniProt as a database (Figure 7, point 2), and Homo sapiens as the species (Figure 7, point 3).
(3)
Click on BLAST (Figure 7, point 4).
Be patient! When you get results, scroll the page. The best alignment is obtained with α-galactosidase A, Uniprot Sequence ID: P06280.1 (Figure 2). One amino acid (V269) in the subject found in UniProt is substituted by M in the query (i.e., the patient’s) sequence.
Step 3. Obtaining information about the protein affected by the mutation
(1)
Query Uniprot using the ID of the target protein found with BlastX: P06280.1 (Figure 8A, point1).
You will get the entry name AGAL_HUMAN and you should click on link besides it (Figure 8A, point 2).
Many details on the protein will appear: Function, Names & Taxonomy, Subcellular location, and so on. A long list of natural variants is reported in the Pathology & Biotech section, most of which are implicated in FD (Figure 8B). Among them 269 V to M (p.V269M) is not found. Links to OMIM (300644. gene; 301500. phenotype) can be followed to read about the disease and its pathological variants. Another popular site is ClinVar https://www.ncbi.nlm.nih.gov/clinvar/. It can be searched with “GLA AND V269M”, but in this database also the variant p.V269M cannot be found.
Step 4. Is the variant pathological?
The variant carried from the patient, p.V269M, is not in the list reported by UniProt, MIM or ClinVar. It might be a new disease mutation. You can run predictive programs such as PolyPhen-2.
(1)
Launch the program inserting the entry name of the protein, “AGAL_HUMAN” (Figure 9A, point 1), the site of the mutation 269, the wild-type amino acid, V, and the mutated one, M (Figure 9A, point 2).
Be patient! Then you can check the result by clicking on View (Figure 3).
Step 5. Do specific databases exist? Does the mutation cause severe inactivation of AGAL? Does it respond to DGJ?
PubMed can be searched with the keywords “Fabry AND Database AND User friendly”; fabry-database and FABRY_CEP are disease specific and require only the introduction of the missense mutation.

Supplementary Materials

Supplementary File 1

Acknowledgments

We are grateful to Emilio Castelluccio for technical assistance.

Author Contributions

Giuseppina Andreotti conceived the study. Valentina Citro and Giuseppina Andreotti designed the study and wrote the manuscript. Chiara Cimmaruta and Ludovica Liguori carried out the experiments. Maria Monticelli prepared the figures and tested the tutorial. All authors read and approved the final manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

FDFabry disease
Gb3Globotriaosylceramide
ERTEnzymatic replacement therapy
DGJ1-Deoxygalactonojirimycin

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Figure 1. Alignment of the patient’s sequence with the reference genome using BLAT. The transition observed in the GLA gene is indicated by an asterisk.
Figure 1. Alignment of the patient’s sequence with the reference genome using BLAT. The transition observed in the GLA gene is indicated by an asterisk.
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Figure 2. Alignment of the patient’s sequence with the wild-type protein sequence using BLAST. A missense mutation in α-galactosidase A (AGAL) was identified (*). The sequence ID is also highlighted (**).
Figure 2. Alignment of the patient’s sequence with the wild-type protein sequence using BLAST. A missense mutation in α-galactosidase A (AGAL) was identified (*). The sequence ID is also highlighted (**).
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Figure 3. PolyPhen-2 graphical output.
Figure 3. PolyPhen-2 graphical output.
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Figure 4. Output of fabry-database.org.
Figure 4. Output of fabry-database.org.
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Figure 5. Output of Fabry_CEP.
Figure 5. Output of Fabry_CEP.
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Figure 6. DNA analysis by using BLAT in the UCSC Genome Browser. (A) starting BLAT; (B) input data; and (C) list of significant hits.
Figure 6. DNA analysis by using BLAT in the UCSC Genome Browser. (A) starting BLAT; (B) input data; and (C) list of significant hits.
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Figure 7. DNA analysis by using BlastX.
Figure 7. DNA analysis by using BlastX.
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Figure 8. UniProt analysis. (A) input data. (B) a selection of the output, a list of natural variants of AGAL (partial view).
Figure 8. UniProt analysis. (A) input data. (B) a selection of the output, a list of natural variants of AGAL (partial view).
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Figure 9. PolyPhen-2 analysis. (A) input data and (B) result status.
Figure 9. PolyPhen-2 analysis. (A) input data and (B) result status.
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Cimmaruta, C.; Liguori, L.; Monticelli, M.; Andreotti, G.; Citro, V. E-Learning for Rare Diseases: An Example Using Fabry Disease. Int. J. Mol. Sci. 2017, 18, 2049. https://doi.org/10.3390/ijms18102049

AMA Style

Cimmaruta C, Liguori L, Monticelli M, Andreotti G, Citro V. E-Learning for Rare Diseases: An Example Using Fabry Disease. International Journal of Molecular Sciences. 2017; 18(10):2049. https://doi.org/10.3390/ijms18102049

Chicago/Turabian Style

Cimmaruta, Chiara, Ludovica Liguori, Maria Monticelli, Giuseppina Andreotti, and Valentina Citro. 2017. "E-Learning for Rare Diseases: An Example Using Fabry Disease" International Journal of Molecular Sciences 18, no. 10: 2049. https://doi.org/10.3390/ijms18102049

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