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Salivary Metabolites in Patients with Mucopolysaccharidosis

ABSTRACT

Objective:

To identify the salivary metabolites profile of Mucopolysaccharidosis (MPS) types I, II, IV, and VI patients.

Material and Methods:

The participants were asked to refrain from eating and drinking for one hour before sampling, performed between 7:30 and 9:00 a.m. Samples were centrifuged at 10.000 × g for 60 min at 4°C, and the supernatants (500µl) were stored at −80°C until NMR analysis. The salivary proton nuclear magnetic resonance (1H-NMR) spectra were acquired in a 500 MHz spectrometer, and TOCSY experiments were used to confirm and assign metabolites. Data were analyzed descriptively.

Results:

Differences in salivary metabolites were found among MPS types and the control, such as lactate, propionate, alanine, and N-acetyl sugar. Understanding these metabolite changes may contribute to precision medicine and early detection of mucopolysaccharidosis and its monitoring.

Conclusion:

The composition of low molecular weight salivary metabolites of mucopolysaccharidosis subjects may present specific features compared to healthy controls.

Keywords:
Mucopolysaccharidoses; Saliva; Magnetic Resonance Spectroscopy; Metabolomics

Introduction

Mucopolysaccharidosis (MPS) is a rare group of inherited lysosomal storage disorders caused by genetic defects that result in the absence or severe deficiency of lysosomal hydrolases, responsible for the degradation of glycosaminoglycans (GAGs)[11 Sarmento DJS, de Carvalho SHG, Melo SLS, Fonseca F RA, Diniz DN, Bento P M, et al. Mucopolysaccharidosis: radiographic findings in a series of 16 cases. Oral Surg Oral Med Oral Pathol Oral Radiol 2015; 120(6):240-245. https://doi.org/10.1016/j.oooo.2015.08.009
https://doi.org/10.1016/j.oooo.2015.08.0...
]. There are seven different MPS disorders (I, II, III, IV, VI, VII, and IX) with an estimated birth prevalence of 1.04 to 4.8/100,000[22 Khan SA, Peracha H, Ballhausen D, Wiesbauer A, Rohrbach M, Gautish M, et al. Epidemiology of mucopolysaccharidoses. Mol Genet Metab 2017; 121(3):227-40. https://doi.org/10.1016/j.ymgme.2017.05.016
https://doi.org/10.1016/j.ymgme.2017.05....
]. The MPS is an autosomal recessive condition, except for MPS-II, which is X-linked recessive[33 Vieira T, Schwartz I, Munõz V, Pinto L, Steiner C, Ribeiro M, et al. Mucopolysaccharidoses in Brazil: What happens from birth to biochemical diagnosis? Am J Med Genet A 2008; 146A(13):1741-1747. https://doi.org/10.1002/ajmg.a.32320
https://doi.org/10.1002/ajmg.a.32320...
].

The abnormal accumulation of GAGs leads to dysfunction in multiple organs, affecting the cardiovascular, respiratory, gastrointestinal, skeletal, and central nervous systems. Children with MPS often experience respiratory infections, otitis media with hearing loss, hepatosplenomegaly, joint stiffness, limited function/contracture, and cognitive/behavioral problems[44 Giugliani R, Villarreal ML, Valdez CA, Hawilou AM, Guelbert N, Garzón LN, et al. Guidelines for diagnosis and treatment of Hunter Syndrome for clinicians in Latin America. Genet Mol Biol 2014; 37(2):315-329. https://doi.org/10.1590/s1415-47572014000300003
https://doi.org/10.1590/s1415-4757201400...
]. Oral cavity complications include macroglossia, malocclusion (anterior open bite, anterior/posterior crossbite), limited mouth opening, impacted teeth, and delayed dental eruption[44 Giugliani R, Villarreal ML, Valdez CA, Hawilou AM, Guelbert N, Garzón LN, et al. Guidelines for diagnosis and treatment of Hunter Syndrome for clinicians in Latin America. Genet Mol Biol 2014; 37(2):315-329. https://doi.org/10.1590/s1415-47572014000300003
https://doi.org/10.1590/s1415-4757201400...
, 55 Antunes LAA, Nogueira APB, Castro GF, Ribeiro MG, de Souza IPR. Dental findings and oral health status in patients with mucopolysaccharidosis: A case series. Acta Odontol Scand 2013; 71(1):157-167. https://doi.org/10.3109/00016357.2011.654255
https://doi.org/10.3109/00016357.2011.65...
, 66 Torres RO, Pintor AVB, Guedes FR, Cevidanes LH, Freitas-Fernandes LB, Ruellas ACO, et al. Three-dimension dental and craniofacial manifestations in patients with late diagnosis of mucopolysaccharidosis type II: Report of two cases. Oral Surg Oral Med Oral Pathol Oral Radiol 2018; S2212-4403(18)30883-30886. https://doi.org/10.1016/j.oooo.2018.03.016
https://doi.org/10.1016/j.oooo.2018.03.0...
]. In addition, supernumerary teeth, conoid teeth, taurodontism, partial and complete bony teeth, and root dilaceration are more common in MPS individuals[77 Carneiro NCR, Abreu LG, Milagres RMC, Amaral TMP, Flores-Mir C, Pordeus IA, et al. Dental and maxillomandibular incidental findings in panoramic radiography among individuals with mucopolysaccharidosis: A cross-sectional study. J Appl Oral Sci 2021; 29:e20200978. https://doi.org/10.1590/1678-7757-2020-0978
https://doi.org/10.1590/1678-7757-2020-0...
]. Given the importance of early diagnosis in managing patients with MPS, it is crucial to understand the metabolite changes that contribute to this condition's development. By analyzing the salivary low molecular weight metabolites composition of MPS patients, we can identify critical markers for early detection and monitoring of this disorder.

The non-invasive nature of saliva sampling makes it a valuable tool for medical research, providing crucial metabolic information about both systemic and oral conditions—additionally, the simplicity and obtaining biological samples, especially in pediatrics, where invasive procedures can be challenging. Salivary research is a growing field due to the high metabolic information of systemic and oral conditions. Alterations in salivary metabolites can be fundamental for the early detection and monitoring of systemic disorders[88 de Oliveira LR, Martins C, Fidalgo TK, Freitas-Fernandes LB, Torres RO, Soares, AL, et al. Salivary metabolite fingerprint of type 1 diabetes in young children. J Proteome Res 2016; 15(8):2491-2499. https://doi.org/10.1021/acs.jproteome.6b00007
https://doi.org/10.1021/acs.jproteome.6b...
, 99 Almeida PA, Fidalgo TKS, Freitas-Fernandes LB, Almeida FCL, Souza IPR, Valente AP. Salivary metabolic profile of children and adolescents after hemodialysis. Metabolomics 2017; 13:141. https://doi.org/10.1007/s11306-017-1283-y
https://doi.org/10.1007/s11306-017-1283-...
, 1010 Freitas-Fernandes LB, Fidalgo TKS, Almeida PA, Souza IPR, Valente AP. Salivary metabolome of children and adolescents under peritoneal dialysis. Clin Oral Invest 2021; 25(4):2345-2351. https://doi.org/10.1007/s00784-020-03557-1
https://doi.org/10.1007/s00784-020-03557...
, 1111 Bragard LCA, Sete MRC, Freitas-Fernandes LB, Sztajnbok FR, Figueredo CM, Valente AP, et al. Salivary metabolomic profile in adolescents with juvenile systemic lupus erythematosus. Braz Oral Res 2022; 36:e0128. https://doi.org/10.1590/1807-3107bor-2022.vol36.0128
https://doi.org/10.1590/1807-3107bor-202...
, 1212 Fidalgo TKS, Freitas-Fernandes LB, Caroline Araujo C, da Silva BJS, Marques BF, Guimarães TC, et al. Salivary metabolomic analysis reveals amino acid metabolism shift in SARS-CoV-2 virus activity and post-infection condition. Metabolites 2023; 13(2):263. https://doi.org/10.3390/metabo13020263
https://doi.org/10.3390/metabo13020263...
]. Although some studies have described the oral characteristics of MPS patients[55 Antunes LAA, Nogueira APB, Castro GF, Ribeiro MG, de Souza IPR. Dental findings and oral health status in patients with mucopolysaccharidosis: A case series. Acta Odontol Scand 2013; 71(1):157-167. https://doi.org/10.3109/00016357.2011.654255
https://doi.org/10.3109/00016357.2011.65...
, 66 Torres RO, Pintor AVB, Guedes FR, Cevidanes LH, Freitas-Fernandes LB, Ruellas ACO, et al. Three-dimension dental and craniofacial manifestations in patients with late diagnosis of mucopolysaccharidosis type II: Report of two cases. Oral Surg Oral Med Oral Pathol Oral Radiol 2018; S2212-4403(18)30883-30886. https://doi.org/10.1016/j.oooo.2018.03.016
https://doi.org/10.1016/j.oooo.2018.03.0...
, 77 Carneiro NCR, Abreu LG, Milagres RMC, Amaral TMP, Flores-Mir C, Pordeus IA, et al. Dental and maxillomandibular incidental findings in panoramic radiography among individuals with mucopolysaccharidosis: A cross-sectional study. J Appl Oral Sci 2021; 29:e20200978. https://doi.org/10.1590/1678-7757-2020-0978
https://doi.org/10.1590/1678-7757-2020-0...
, 1313 Ribeiro EM, Fonteles CSR, Freitas AB, Alves KSS, Monteiro AJ, da Silva CAB. A clinical multicenter study of orofacial features in 26 Brazilian patients with different types of mucopolysaccharidosis. Cleft Palate Craniofacial J 2015; 52(3):352-358. https://doi.org/10.1597/13-204
https://doi.org/10.1597/13-204...
, 1414 Torres RO, Pintor AVB, Guedes FR, Freitas-Fernandes LB, Barth AL, Horovitz DDG, et al. Oral and craniofacial manifestations in a Hunter syndrome patient with hematopoietic stem cell transplantation: A case report. Spec Care Dentist 2018; 38(1):51-54. https://doi.org/10.1111/scd.12260
https://doi.org/10.1111/scd.12260...
], the salivary low molecular metabolic composition remains unknown.

This study could bring new insights into the molecular mechanisms underlying MPS and provide potential biomarkers for early detection and monitoring of the condition. This information would be valuable not only for precision medicine but also for developing new treatments that target the underlying metabolic defects in MPS. The analysis of salivary low molecular weight metabolites in MPS patients holds great potential for improving our understanding of this rare and debilitating condition. It could lead to better management and care for patients affected by MPS. This study aims to identify the salivary low molecular weight metabolites composition of patients with mucopolysaccharidosis.

Material and Methods

Study Design and Ethical Clearance

This is an observational, cross-sectional study of a group of patients with MPS described as a case series, which was submitted and approved by the local Ethics Committee (56788816.1.0000.5257) and was carried out following The Code of Ethics of the World Association (Declaration of Helsinki).

Participants

From a group of MPS patients, four being representatives of different types of MPS (I, II, IV, VI), attending two referral centers for MPS in Rio de Janeiro, Brazil (Instituto de Puericultura e Pediatria Martagão Gesteira - IPPMG and Instituto Fernandes Figueira - IFF), and healthy patient (Department of Pediatric Dentistry and Orthodontics – UFRJ) were included. Informed consent was obtained from all participants or the children's legal guardians before study initiation. We had participants without systemic disease as a control group. We included patients with MPS after undergoing genetic testing. The inclusion criteria were subjects diagnosed.

MPS and gender/age-matched children with good general health. Exclusion criteria included inability or unwillingness to sign the informed consent form diagnosis of a medical condition that required medication and a history of uncharacterized systemic disease, immunocompromised individuals, bleeding oral lesions, and antibiotic intake within three months prior to saliva collection. We already have knowledge of the salivary profile of healthy patients in this age range due to our previously published data[88 de Oliveira LR, Martins C, Fidalgo TK, Freitas-Fernandes LB, Torres RO, Soares, AL, et al. Salivary metabolite fingerprint of type 1 diabetes in young children. J Proteome Res 2016; 15(8):2491-2499. https://doi.org/10.1021/acs.jproteome.6b00007
https://doi.org/10.1021/acs.jproteome.6b...
, 99 Almeida PA, Fidalgo TKS, Freitas-Fernandes LB, Almeida FCL, Souza IPR, Valente AP. Salivary metabolic profile of children and adolescents after hemodialysis. Metabolomics 2017; 13:141. https://doi.org/10.1007/s11306-017-1283-y
https://doi.org/10.1007/s11306-017-1283-...
].

Saliva Sample Collection

Unstimulated whole saliva was collected from one representative patient of each MPS type I, II, IV, and VI before the oral examination and from one systemic and oral healthy patient. For saliva sample collection, participants were required to expectorate saliva into a plastic universal tube with sodium azide (6 jlxI) immersed in ice. They refrained from eating and drinking for one hour before sampling, performed between 7:30 and 9:00 a.m. The samples were centrifuged at 10.000 × g for 60 min at 4°C, and the supernatants (500ul) were stored at −80°C until NMR analysis.

Sample Preparation and Nuclear Magnetic Resonance (NMR) Measurements

1H-NMR (proton nuclear magnetic resonance) spectra were acquired using a 500 MHz Avance III spectrometer (Bruker Biospin, Rheinstetten, Germany) at 25°C. Saliva samples were prepared by mixing 500 μL of saliva supernatant, 100 μL of sodium phosphate buffer (pH 7.0) (containing 60 μL of deuterated water (D20; Cambridge Isotope Laboratories Inc., USA), and 10 μL of 20 mM 4,4-dimethyl-4-silapentane-1-sulfonic acid (DSS; Sigma-Aldrich, Milwaukee, USA)). The CPMG (Carr-Purcell-Meiboom-Grill) pulse sequence was used for saliva samples at 298 K with 1024 scans. After spectra acquisition, edge effects were evaluated by overlaying all spectra using Topspin (Bruker Biospin, Rheinstetten, Germany). The assignment strategy included using the Human Metabolome database (http://www.hmdb.ca/)[1515 Wishart DS, Tzur D, Knox C, Eisner R, Guo AC, Young N, et al. The human metabolome database. Nucleic Acids Res 2007; 35(Database issue):D521-D526. https://doi.org/10.1093/nar/gkl923
https://doi.org/10.1093/nar/gkl923...
] and previous studies[88 de Oliveira LR, Martins C, Fidalgo TK, Freitas-Fernandes LB, Torres RO, Soares, AL, et al. Salivary metabolite fingerprint of type 1 diabetes in young children. J Proteome Res 2016; 15(8):2491-2499. https://doi.org/10.1021/acs.jproteome.6b00007
https://doi.org/10.1021/acs.jproteome.6b...
, 99 Almeida PA, Fidalgo TKS, Freitas-Fernandes LB, Almeida FCL, Souza IPR, Valente AP. Salivary metabolic profile of children and adolescents after hemodialysis. Metabolomics 2017; 13:141. https://doi.org/10.1007/s11306-017-1283-y
https://doi.org/10.1007/s11306-017-1283-...
].

Data Analysis

Data were analyzed descriptively. After spectrum acquisition on a 500 MHz Advance III spectrometer, edge effects were evaluated by overlaying all spectra using Topspin (Bruker Biospin). Spectra and spectral regions that could not be corrected for phase and baseline were excluded from the analysis. Each NMR spectrum was analyzed from 0-8 ppm, excluding the water region (4.5–5.5 ppm). Our assignment strategy was implemented. TOCSY experiments confirmed and assigned metabolites[88 de Oliveira LR, Martins C, Fidalgo TK, Freitas-Fernandes LB, Torres RO, Soares, AL, et al. Salivary metabolite fingerprint of type 1 diabetes in young children. J Proteome Res 2016; 15(8):2491-2499. https://doi.org/10.1021/acs.jproteome.6b00007
https://doi.org/10.1021/acs.jproteome.6b...
, 99 Almeida PA, Fidalgo TKS, Freitas-Fernandes LB, Almeida FCL, Souza IPR, Valente AP. Salivary metabolic profile of children and adolescents after hemodialysis. Metabolomics 2017; 13:141. https://doi.org/10.1007/s11306-017-1283-y
https://doi.org/10.1007/s11306-017-1283-...
, 1010 Freitas-Fernandes LB, Fidalgo TKS, Almeida PA, Souza IPR, Valente AP. Salivary metabolome of children and adolescents under peritoneal dialysis. Clin Oral Invest 2021; 25(4):2345-2351. https://doi.org/10.1007/s00784-020-03557-1
https://doi.org/10.1007/s00784-020-03557...
, 1111 Bragard LCA, Sete MRC, Freitas-Fernandes LB, Sztajnbok FR, Figueredo CM, Valente AP, et al. Salivary metabolomic profile in adolescents with juvenile systemic lupus erythematosus. Braz Oral Res 2022; 36:e0128. https://doi.org/10.1590/1807-3107bor-2022.vol36.0128
https://doi.org/10.1590/1807-3107bor-202...
, 1212 Fidalgo TKS, Freitas-Fernandes LB, Caroline Araujo C, da Silva BJS, Marques BF, Guimarães TC, et al. Salivary metabolomic analysis reveals amino acid metabolism shift in SARS-CoV-2 virus activity and post-infection condition. Metabolites 2023; 13(2):263. https://doi.org/10.3390/metabo13020263
https://doi.org/10.3390/metabo13020263...
]. The metabolomics workflow is reported in Figure 1.

Figure 1
MPS and healthy saliva metabolomics workflow diagram.

Results

The sample consisted of 13 subjects (3 MPS-I, 5 MPS-II, 1 MPS-IV, 4MPS-VI), nine males and five females, with ages ranging from 2-38 years. The subjects were gender and age-matched and were subjects with good general health. Saliva from a 7-year-old female healthy patient was chosen as an example of healthy control. The spectra from healthy subjects as well as MPS patients demonstrate the assignment of metabolites in the 0.0-4.5 ppm region, such as fatty acid (0.86 ppm), propionate (1.04/2.7 ppm), ethanol (1.16, 3.65 ppm), lactate (1.30-1.38 ppm/ 4.10-4.18 ppm), alanine (1.48 ppm), acetate (1.92 ppm), N-AC (2.02-2.06), aminobutyrate (1.88, 2.29, 3.02 ppm), and the sugar region (4.10-3.86 ppm). Figure 2 shows the representative NMR spectra of salivary samples from patients (0- 4.5 ppm): (a) healthy, (b) MPS type I, (c) MPS type II, (d) MPS type IV and (e) MPS type VI. The evaluation of the NMR spectra suggests lower lactate, propionate, alanine, and N-AC levels in healthy subjects compared to MPS patients.

Figure 2
Representative 1H NMR saliva spectra differences among groups, a) saliva sample from a healthy patient, b) patient with MPS type I, c) patient with MPS type II, d) patient with MPS type IV, and e) patient with MPS type VI. Resonance assignments of specific metabolites.

Discussion

Mucopolysaccharidoses are a rare group of genetic disorders that result from defects in the degradation of glycosaminoglycans (GAGs) due to a lack of functional lysosomal hydrolases[11 Sarmento DJS, de Carvalho SHG, Melo SLS, Fonseca F RA, Diniz DN, Bento P M, et al. Mucopolysaccharidosis: radiographic findings in a series of 16 cases. Oral Surg Oral Med Oral Pathol Oral Radiol 2015; 120(6):240-245. https://doi.org/10.1016/j.oooo.2015.08.009
https://doi.org/10.1016/j.oooo.2015.08.0...
]. There are seven different MPS disorders (I, II, III, IV, VI, VII, and IX), and a study in Brazil found a total of 600 cases diagnosed between 1994 and 2012, with the most common being MPS I, II, IV, and VI[1616 Brasil. Ministério da Saúde. Secretaria de Atenção à Saúde. Secretaria de Vigilância em Saúde. SB Brasil 2010: Pesquisa Nacional de Saúde Bucal: resultados principais. Brasília: Ministério da Saúde, 2012. [In Portuguese].]. This study analyzed the salivary metabolites of patients with MPS Types I, II, IV, and VI using 1H-NMR metabolomics. We found differences in the salivary profiles between MPS patients and healthy subjects.

To our knowledge, this is the first study of metabolomics analyses in salivary samples of patients with different types of mucopolysaccharidosis. Previous metabolomics analyses have recently shed light on the biological profile of inherited rare diseases such as mucopolysaccharidosis type III[1717 Tebani A, Abily-Donval L, Schmitz-Afonso I, Héron B, Piraud M, Ausseil J, et al. Unveiling metabolic remodeling in Mucopolysaccharidosis type III, through integrative metabolomics and pathways analysis. J Transl Med 2018; 16(1):248. https://doi.org/10.1186/s12967-018-1625-1
https://doi.org/10.1186/s12967-018-1625-...
] and type VI[1818 Tebani A, Abily-Donval L, Schmitz-Afonso I, Piraud M, Ausseil J, Zerimech F, et al. Analysis of Mucopolysaccharidosis type VI through integrative functional metabolomics. Int J Mol Sci 2019; 20(2):446. https://doi.org/10.3390/ijms20020446
https://doi.org/10.3390/ijms20020446...
], using urine samples of MPS patients through tandem mass liquid spectrometry combined with ultra-high-resolution liquid chromatography. Changes in amino acid profiles and biochemical patterns were found in MPS patients compared with the healthy controls.

1H-NMR metabolomic demonstrated different metabolite profiles, as already been published[88 de Oliveira LR, Martins C, Fidalgo TK, Freitas-Fernandes LB, Torres RO, Soares, AL, et al. Salivary metabolite fingerprint of type 1 diabetes in young children. J Proteome Res 2016; 15(8):2491-2499. https://doi.org/10.1021/acs.jproteome.6b00007
https://doi.org/10.1021/acs.jproteome.6b...
, 99 Almeida PA, Fidalgo TKS, Freitas-Fernandes LB, Almeida FCL, Souza IPR, Valente AP. Salivary metabolic profile of children and adolescents after hemodialysis. Metabolomics 2017; 13:141. https://doi.org/10.1007/s11306-017-1283-y
https://doi.org/10.1007/s11306-017-1283-...
]. This concept was successfully used to identify metabolic changes in saliva samples of children who have type I diabetes [8], patients with renal diseases[99 Almeida PA, Fidalgo TKS, Freitas-Fernandes LB, Almeida FCL, Souza IPR, Valente AP. Salivary metabolic profile of children and adolescents after hemodialysis. Metabolomics 2017; 13:141. https://doi.org/10.1007/s11306-017-1283-y
https://doi.org/10.1007/s11306-017-1283-...
, 1010 Freitas-Fernandes LB, Fidalgo TKS, Almeida PA, Souza IPR, Valente AP. Salivary metabolome of children and adolescents under peritoneal dialysis. Clin Oral Invest 2021; 25(4):2345-2351. https://doi.org/10.1007/s00784-020-03557-1
https://doi.org/10.1007/s00784-020-03557...
], lupus erythematosus[1111 Bragard LCA, Sete MRC, Freitas-Fernandes LB, Sztajnbok FR, Figueredo CM, Valente AP, et al. Salivary metabolomic profile in adolescents with juvenile systemic lupus erythematosus. Braz Oral Res 2022; 36:e0128. https://doi.org/10.1590/1807-3107bor-2022.vol36.0128
https://doi.org/10.1590/1807-3107bor-202...
], and Covid 19[1212 Fidalgo TKS, Freitas-Fernandes LB, Caroline Araujo C, da Silva BJS, Marques BF, Guimarães TC, et al. Salivary metabolomic analysis reveals amino acid metabolism shift in SARS-CoV-2 virus activity and post-infection condition. Metabolites 2023; 13(2):263. https://doi.org/10.3390/metabo13020263
https://doi.org/10.3390/metabo13020263...
]. We found differences in the salivary biochemical patterns between the MPS patients and the healthy subjects, including changes in the lactate, aminobutyrate, propionate, N-Ac, acetate, alanine, ethanol, fatty acids, and saccharides. The results showed differences in the NMR spectrum among the MPS types compared to the healthy subject salivary profiles. Further studies should be performed to analyze differences in the biochemical patterns between MPS types and healthy ones. Differences in the salivary low molecular weight analysis by NMR between healthy subjects and patients may contribute to the knowledge of the metabolic pathways in mucopolysaccharidosis.

The results of this study suggest that saliva may be a suitable source for studying metabolite changes in individuals with MPS and that the "omic" approach with saliva in MPS is a promising mechanism for evaluating the health status or condition. It is a limitation of the study that only a restricted number of subjects were investigated. Still, this study shows the potential of using saliva profiles for early diagnosis of MPS, which can induce the search for early treatment and help alleviate the clinical oral manifestations. In addition to the benefits of early diagnosis, our findings open the door for further studies in the field of MPS. Using saliva as a source of information could benefit children and infants, who often have difficulties providing blood or urine samples.

Moreover, the non-invasive nature of saliva collection makes it easier for patients to comply with follow-up evaluations. Additionally, the results of this study can be used as a foundation for future studies on personalized medicine for patients with MPS. The identification of specific metabolic changes in saliva can provide a basis for developing targeted therapies and individualized treatment plans.

Conclusion

Using saliva as a source for metabolomics analysis holds great potential for diagnosing and managing MPS. The results of our study provide evidence that NMR spectroscopy can be used to identify differences in the salivary metabolite profiles between healthy subjects and individuals with MPS. Further studies are necessary to confirm these results and to understand the mechanisms underlying the metabolic changes observed in MPS patients. In light of these findings, it is important to continue exploring the potential of saliva analysis to diagnose and manage MPS and other metabolic diseases.

Data Availability

The data used to support the findings of this study can be made available upon request to the corresponding author.

  • Financial Support
    This work was supported by CAPES, CNPq and FAPERJ [Grant numbers E-26/203-017/2017, E-26/202-399/2017, E-26/203.868/2022, E-26/203.017/2017 and E-26/201-471/2018].

References

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  • 2
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    » https://doi.org/10.1016/j.ymgme.2017.05.016
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    Antunes LAA, Nogueira APB, Castro GF, Ribeiro MG, de Souza IPR. Dental findings and oral health status in patients with mucopolysaccharidosis: A case series. Acta Odontol Scand 2013; 71(1):157-167. https://doi.org/10.3109/00016357.2011.654255
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  • 6
    Torres RO, Pintor AVB, Guedes FR, Cevidanes LH, Freitas-Fernandes LB, Ruellas ACO, et al. Three-dimension dental and craniofacial manifestations in patients with late diagnosis of mucopolysaccharidosis type II: Report of two cases. Oral Surg Oral Med Oral Pathol Oral Radiol 2018; S2212-4403(18)30883-30886. https://doi.org/10.1016/j.oooo.2018.03.016
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    » https://doi.org/10.1590/1678-7757-2020-0978
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    » https://doi.org/10.1021/acs.jproteome.6b00007
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Edited by

Academic Editor: Myroslav Goncharuk-Khomyn

Publication Dates

  • Publication in this collection
    02 Feb 2024
  • Date of issue
    2024

History

  • Received
    18 Oct 2022
  • Reviewed
    20 Mar 2023
  • Accepted
    05 May 2023
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