This study investigated, if genetic variants in BMP2, BMP4 and SMAD6 are associated with variations in the palatal rugae pattern in humans. Dental casts and genomic DNA from 75 patients were evaluated. Each patient was classified as follows: total amount of rugae; bilateral symmetry in the amount, length and shape of the palatal rugae; presence of secondary or fragmentary palatal rugae; presence of unifications; predominant shape; and predominant direction of the palatal rugae. The genetic variants in BMP2 (rs1005464 and rs235768), BMP4 (rs17563) and SMAD6 (rs2119261 and rs3934908) were genotyped. Genotype distribution was compared between palatal rugae patterns using the chi-square test (alpha = 0.05). The allele A was associated with the presence of secondary or fragmentary rugae for rs1005464 (OR = 2.5, 95%CI 1.1–6.3; p = 0.014). Secondary or fragmentary rugae were associated with the G allele in rs17563 (OR = 2.1, 95%CI 1.1–3.9; p = 0.017). rs17563 was also associated with rugae unification (p = 0.017 in the additive model). The predominant shape (wavy) was associated with rs2119261 (p = 0.023 in the additive model). The left–right symmetry of the length of primary rugae was associated with rs3934908 in the recessive model (OR = 3.6, 95%CI 1.2–11.7; p = 0.025). In conclusion, genetic variants in the BMP pathway impacted on palatal rugae pattern.
Palatal rugae are irregular structures located at the palatal mucosa in the oral cavity1. The term palatal rugae refers to a series of ridges produced by the folding of the wall of an organ. They are irregularly elevated ridges on the mucous membrane covering the anterior third part of the hard palate. Palatal rugae radiate transversely from the incisive papilla and the anterior part of the palatine raphe on either side2. Development of palatal rugae occurs during embryogenesis via the interaction of epithelium and mesenchyme tissues. Their morphology remains stable during life3,4, however varies from individual to individual5,6,7. Thus it is generally accepted that the individual genetic background impacts on this variability8.
Bone morphogenetic proteins 2 and 4 (BMP2 and BMP4 respectively) are genes that encode a secreted ligand of the transforming growth factor-beta superfamily (TGF-beta). This family of ligands bind TGF-beta receptors leading to the recruitment and activation of SMAD (mothers against decapentaplegic homolog) family transcription factors that regulate gene expression. SMAD6 is a protein-coding gene member of the SMAD family, which mediates TGF-beta and BMP activity9,10,11.
BMPs are recognized as important participants in craniofacial development and in palatogenesis12,13. BMPs are known to present as a sign of mesenchymal proliferation related to palatogenesis12,14. BMP4 induces the expression of Shh, which will induce the expression of BMP2 that will positively regulate cell proliferation13,15. BMPs and SMAD can be found in the process of palatal rugae development16,17. Our previous study observed an association between genetic variants in WNT11 and WNT3 and variations in the pattern of palatal rugae in humans8. Interestingly, a reduction in palatal rugae in vivo was attributed to the overexpression of Shh17 that interacts with Wnt during palatogenesis18,19. Therefore, it is reasonable to hypothesize that variants in genes encoding BMPs and SMADs also contribute to the determination of palatal rugae pattern. Therefore, this is the first study to investigate, if genetic variants in BMP2, BMP4 and SMAD6 are associated with variations in the palatal rugae pattern in humans.
Genotype distributions were within the Hardy–Weinberg equilibrium (data not shown). Thirty-eight (50.6%) patients were men and 37 (49.4%) were women. Their age ranged from 10 to 40 years and they were in mixed or permanent dentition. The phenotype distribution according to gender is presented in Table 1. There were no significant gender differences between groups (p > 0.05).
Genotype distributions according to the palatal rugae patterns are presented in Table 2. For rs1005464 in BMP2 the allele distribution was associated with the presence of secondary or fragmentary rugae. Individuals carrying the A allele had an increased chance to present secondary fragmentary rugae (OR = 2.5, 95%CI 1.1–6.3; p = 0.014). Similarly, in the dominant model (AA + AG vs. GG) individuals carrying the allele A had a three times higher chance to present secondary or fragmentary rugae (OR = 3.0, 95%CI 1.1–7.6; p = 0.037). The presence of secondary or fragmentary rugae was also associated with rs17563 in BMP4. In the allele distribution, carrying the G allele increased the chance to present secondary fragmentary palatal rugae (OR = 2.1, 95%CI 1.1–3.9; p = 0.017). In the recessive model (GG vs. AA + AG) individuals carrying the GG genotype had a more than five times higher chance to present secondary fragmentary rugae (OR = 5.5, 95%CI 1.3–26.1; p = 0.037). rs17563 was also associated with palatal rugae unification in the genotype distribution in the additive model (p = 0.017).
The predominant shape was associated with rs2119261 in SMAD6 in the genotype distribution (p = 0.023). The left–right symmetry on the length of primary rugae was associated with rs3934908 in SMAD6 only in the recessive model (TT vs. CT + TT) with individuals carrying the TT genotype having a higher chance to present symmetry of palatal rugae (OR = 3.6, 95%CI 1.2–11.7; p = 0.025).
The development of the mammalian palate, including palatal rugae formation, is a complex process. It is characterized as a multi-step process that includes mesenchymal cell proliferation, palatal shelf outgrowth, elevation, fusion and eventually disappearance of the midline epithelial seam12. Palatal rugae are conserved in all mammals, including humans and rodents. Although the number and patterns of palatal rugae are species-specific, previous studies in animal models clearly support that palatal rugae development is under strict genetic control and many different genes interact in order to establish a specific palatal rugae pattern16,17. Therefore, in the present study we explored for the first time, if genetic variants in BMP signaling pathways are involved in palatal rugae variation in humans.
Fragmentary and secondary rugae are those with smaller length. The presence of these rugae is frequently observed in patients, particularly in the posterior half of the rugae area. In our study, the intronic variant rs1005464 in BMP2 and the missense variant rs17563 in BMP4 were associated with the presence of fragmentary or secondary rugae. A previous study in rodents showed that palatal rugae are sequentially added to the growing palate, which seems to be dependent on activation and inhibition mechanisms in the palate. This study from 2008 proposed that BMPs should be further investigated20. Later, a study by Kawasaki et al.17 observed that the reduction in palatal rugae was related to the overexpression of Shh signaling. Shh regulates the expression of the BMP2 and BMP4 in the palatal mesenchyme21.
Both genetic variants associated with fragmentary and secondary palatal rugae were previously associated with other oral phenotypes. The genetic variant rs1005464 in BMP2 has been associated with a variety of conditions including dental crowding22 and mandibular retrognathism23. BMP4 is a widely studied gene as an etiologic factor involved in oral cleft establishment, which is a congenital alteration in palate formation. A literature review demonstrated that many studies in different populations observed the association between rs17563 in BMP4 and non-syndromic oral clefts24. These highlight the important role of this genetic variant in palate formation and the determination of palatal patterns. In the genetic variant rs17563 the polymorphic allele replaces the amino acid valine with alanine at position 152 of the protein, however, the structure and function of the protein are not significantly affected by the substitution25. In our study, subjects carrying the alanine form had an increased chance to present fragmentary/secondary rugae and rugae unification.
SMAD6 belongs to the SMAD family of proteins, which constitutes an important signaling pathway regulating the transcription of genes of the Transforming Growth Factor β (TGF-β) family, including BMPs26. SMAD6 inhibits BMP signaling in the nucleus via the interaction with transcription repressors27. Therefore, we hypothesize that genetic variants in SMAD6 are candidates for variations in the palatal rugae pattern. Indeed, the genetic variant rs2119261 was associated with the predominant palatal rugae shape (curved or wavy), while rs3934908, also in SMAD6, was associated with left–right symmetry of rugae.
In our first study, we observed that genetic variants in WNT3A and WNT11 were associated with the left–right asymmetry regarding the amount of palatal rugae8. In animal models the ablation of WNT signaling in the oral epithelium blocked the formation of palatal rugae28. Interaction between WNT signaling and BMP/SMAD signaling has been widely explored, including in the context of craniofacial and dental formation29,30. In the present study, genetic variants in BMP/SMAD-signaling-encoding genes were associated with palatal rugae. Thus, this is the first study to suggest that the variations in BMP/SMAD are involved in the development of palatal rugae in humans and also impact on anatomic variations among individuals. Interestingly, this pathway is well known involved in tooth formation and palatal rugae seem to have a different pattern in individuals with congenitally missing teeth31.
The development of the secondary palate has been an important topic in craniofacial research, as its failure results in oral clefting (a common birth defect). However, the mechanisms involved in palatal rugae pattern in subjects without birth defects received little attention so far. Our sample size is an obvious limitation of our study. Although it brings important novel preliminary information, future multicentric studies with larger samples are necessary to replicate our results and to unravel the genetic background of the palatal rugae pattern in humans. Briefly, variants in genes encoding for the BMP/SMAD signaling pathway might be involved in the determination of the palatal rugae pattern in humans. Also, more genetic variants covering BMPs should be evaluated in future studies.
The protocol of this cross-sectional study was approved by the Research Ethics Committee of the School of Dentistry of Ribeirão Preto, University of São Paulo (3.150.551). This study was conducted after the approval of the Institutional Ethics Committee and all experiments were performed in accordance with latest version of Declaration of Helsinki guidelines. All the patients gave written informed consent after the nature of the research procedures had been fully explained to them. If the patient were under 18, an informed consent from a parent and/or legal guardian and an assent from the patient was also obtained.
This study was conducted following the Strengthening the Reporting of Genetic Association study (STREGA) statement checklist32. The sample size was determined based on our previous study8. Briefly, 75 biologically unrelated patients (one subject per family), who were undergoing orthodontic treatment at the School of Dentistry of Ribeirão Preto from 2017 to 2018, were included. Patients with craniofacial congenital anomalies or syndromes, oral clefts, severe transverse maxillary deficiency, palatal asymmetry, scar tissue, previous orthodontic treatment or with poor quality records were excluded from the study. Availability of pretreatment dental casts free of voids and air bubbles and good quality intraoral occlusal photographs was also a prerequisite.
Determination of the palatal rugae pattern
Palatal rugae were evaluated by a single evaluator via direct visual screening of the casts and intraoral occlusal photography of each patient. Information on rugae characteristics was initially recorded in a rugoscopy chart33 and rugae classified according to:
Length: Primary (≥ 5 mm), secondary (3–5 mm), and fragmentary (2–3 mm)34,
Shape: Curved, wavy, straight and circular35,
Rugae length measurements were performed directly from dental casts using an electronic hand-held digital caliper (Digimatic CD-15DCX; Mitutoyo®, Kawasaki, Japan). For non-straight rugae, a segment of wire was adapted according to the shape of the rugae, and then it was rectified for measurement. More details regarding pattern definition and measurements are described in Silva-Sousa et al.8.
Based on the rugae characterization, individuals were classified according to their rugae patterns, as presented in Table 3.
Five randomly chosen dental casts were evaluated twice within an 8-week interval, and then Cohen’s kappa (κ) was applied to check the intraexaminer coefficient of agreement. The intraclass correlation coefficient (ICC) was used to determine the rater consistency of the repeated evaluations of rugae length. All ICC and κ values were above 0.9 (p < 0.001).
Genomic DNA extracted from oral cells isolated from saliva samples of all included patients was used for the allelic discrimination analysis, as previously described in Küchler et al.39. Evaluation of DNA amount and purity was performed by spectrophotometery (Nanodrop 1000; Thermo Scientific, Wilmington, DE). Genetic variants in BMP2 (rs1005464 and rs235768), BMP4 (rs17563) and SMAD6 (rs2119261 and rs3934908) were blindly genotyped by real-time polymerase chain reactions (PCR) using TaqMan assay (Step One Plus Real-Time PCR System, Applied Biosystems, Foster City, CA). The characteristics of the assessed genetic variants are presented in Table 4.
Chi-square tests were used to compare the genotype/allele distribution in additive, dominant and recessive models between the different palatal rugae patterns. Odds ratios (OR) and their 95% confidence intervals (CI) were calculated to evaluate the chance of presenting certain rugae phenotypes for the genetic variants. In the analysis of each genetic variant, cases with missing values were dropped from the analysis. The Hardy–Weinberg equilibrium was also evaluated by Chi-square test. All analyses were performed using two-tailed tests (α = 0.05) on Epi Info 7.0.
Amasaki, H. et al. Distributional changes of BrdU, PCNA, E2F1 and PAL31 molecules in developing murine palatal rugae. Ann. Anat. 185, 517–523 (2003).
Pillai, J. et al. Quantitative and qualitative analysis of palatal rugae patterns in Gujarati population: A retrospective, cross-sectional study. J. Forensic Dent. Sci. 8(3), 126–134. https://doi.org/10.4103/0975-1475.195110 (2016).
Bansode, S. C. & Kulkarni, M. M. Importance of palatal rugae in individual identification. J. Forensic Dent. Sci. 1(2), 77. https://doi.org/10.4103/0974-2948.60378 (2009).
Trakanant, S. et al. Molecular mechanisms in palatal rugae development. J. Oral Biosci. 62(1), 30–35. https://doi.org/10.1016/j.job.2019.12.002 (2019).
Hermosilla, V. V., San Pedro, V. J., Cantin, M. & Suazo, G. I. C. Palatal rugae: Systemic analysis of its shape and dimensions for use in human identification. Int. J. Morphol. 27(3), 819–825. https://doi.org/10.4067/S0717-95022009000300029 (2009).
Gaikwad, R. et al. Rugae patterns as an adjunct to sex differentiation in forensic identification. Stomatologija 21(3), 79–82 (2019).
Lanteri, V. et al. Assessment of the stability of the palatal rugae in a 3D–3D superimposition technique following slow maxillary expansion (SME). Sci. Rep. 10(1), 26761–26767 (2020).
Silva-Sousa, A. C. et al. Left-right asymmetry in palatal rugae is associated with genetic variants in WNT signaling pathway. Arch. Oral Biol. 110, 1046041–1046047. https://doi.org/10.1016/j.archoralbio.2019.104604 (2020).
BMP2 Gene. GeneCards—The human gene database https://www.genecards.org/cgi-bin/carddisp.pl?gene=BMP2#aliases_descriptions Accessed 03 May 2020 (2020).
BMP4 Gene. GeneCards—The human gene database https://www.genecards.org/cgi-bin/carddisp.pl?gene=BMP4&keywords=BMP4,gene. Accessed 03 May 2020 (2020).
SMAD6 Gene. GeneCards—The human gene database https://www.genecards.org/cgi-bin/carddisp.pl?gene=SMAD6&keywords=smad6. Accessed 03 May 2020 (2020).
Nie, X., Luukko, K. & Kettunen, P. BMP signalling in craniofacial development. Int. J. Dev. Biol. 50, 511–521. https://doi.org/10.1387/ijdb.052101xn (2006).
Vukicevic, S. & Sampath, K. T. Bone Morphogenetic Proteins: Systems Biology Regulators 1st edn. (Springer, 2017).
Liu, W. et al. Distinct functions for bmp signaling in lip and palate fusion in mice. Development 132, 1453–1461 (2005).
Rice, R. et al. Disruption of Fgf10/Fgfr2b-coordinated epithelial-mesenchymal interactions causes cleft palate. J. Clin. Investig. 113, 1692–1700 (2004).
Bitgood, M. J. & McMahon, A. P. Hedgehog and Bmp genes are coexpressed at many diverse sites of cell-cell interaction in the mouse embryo. Dev. Biol. 172, 126–138 (1995).
Kawasaki, M. et al. Lrp4/Wise regulates palatal rugae development through turing-type reaction-diffusion mechanisms. PLoS ONE 13(9), e0204126 (2018).
Welsh, I. C. & O’Brien, T. P. Signaling integration in the rugae growth zone directs sequential SHH signaling center formation during the rostral outgrowth of the palate. Dev. Biol. 336(1), 53–67. https://doi.org/10.1016/j.ydbio.2009.09.028 (2009).
Bush, J. O. & Jiang, R. Palatogenesis: Morphogenetic and molecular mechanisms of secondary palate development. Development 139(2), 231–243 (2012).
Pantalacci, S. et al. Patterning of palatal rugae through sequential addition reveals an anterior/posterior boundary in palatal development. BMC Dev. Biol. 8, 116 (2008).
Lan, Y. & Jiang, R. Sonic hedgehog signaling regulates reciprocal epithelial-mesenchymal interactions controlling palatal outgrowth. Development 136(8), 1387–1396. https://doi.org/10.1242/dev.028167 (2009).
Ting, T. Y., Wong, R. W. K. & Rabie, A. B. M. Analysis of genetic polymorphisms in skeletal Class I crowding. Am. J. Orthod. Dentofacial. Orthop. 140(1), e9-15. https://doi.org/10.1016/j.ajodo.2010.12.015 (2011).
Küchler, E. C. et al. Potential interactions among single nucleotide polymorphisms in bone- and cartilage-related genes in skeletal malocclusions. Orthod. Craniofac. Res. https://doi.org/10.1111/ocr.12433 (2020) (Online ahead of print).
Bahrami, R. et al. Association of BMP4 rs17563 polymorphism with nonsyndromic cleft lip with or without cleft palate risk: Literature review and comprehensive meta-analysis. Fetal Pediatr. Pathol. https://doi.org/10.1080/15513815.2019.1707916 (2020) (Online ahead of print).
Araújo, T. K. et al. Preliminary analysis of the nonsynonymous polymorphism rs17563 in BMP4 gene in Brazilian population suggests protection for nonsyndromic cleft lip and palate. Plast. Surg. Int. 2012, 247104. https://doi.org/10.1155/2012/247104 (2012).
Ullah, I., Sun, W., Tang, L. & Feng, J. Roles of Smads family and alternative splicing variants of Smad4 in different cancers. J. Cancer 9, 4018–4028 (2018).
Sieber, C., Kopf, J., Hiepen, C. & Knaus, P. Recent advances in BMP receptor signaling. Cytokine Growth Factor Rev. 20, 343–355 (2009).
Lin, M. et al. Wnt5a regulates growth, patterning, and odontoblast differentiation of developing mouse tooth. Dev. Dyn. 240(2), 432–440. https://doi.org/10.1002/dvdy.22550 (2011).
Alexander, C., Piloto, S., Le Pabic, P. & Schilling, T. F. Wnt signaling interacts with bmp and edn1 to regulate dorsal-ventral patterning and growth of the craniofacial skeleton. PLoS Genet. 10(7), e1004479. https://doi.org/10.1371/journal.pgen.1004479 (2014).
Zhang, F. et al. Wnt and BMP signaling crosstalk in regulating dental stem cells: Implications in dental tissue engineering. Genes Dis. 3(4), 263–276. https://doi.org/10.1016/j.gendis.2016.09.004 (2016).
Armstrong, J. et al. Palatal rugae morphology is associated with variation in tooth number. Sci. Rep. 5(10), 19074. https://doi.org/10.1038/s41598-020-76240-w (2020).
Little, J. et al. STrengthening the REporting of Genetic Association Studies. STrengthening the REporting of Genetic Association Studies (STREGA): An extension of the STROBE statement. PLoS Med. 6(2), e22. https://doi.org/10.1371/journal.pmed.1000022 (2009).
Chowdhry, A. A simple working type Integrated Rugoscopy Chart proposed for analysis and recording rugae pattern. J. Forensic Dent. Sci. 8, 171–172. https://doi.org/10.4103/0975-1475.195106 (2016).
Lysell, L. Plicae palatine transversae and papilla incisive in man: A morphologic and genetic study. Acta Odontol. Scand. 13, 5–137 (1955).
Kapali, S., Townsend, G., Richards, L. & Parish, T. Palatal rugae in Australian aborigenes and Caucasians. Aust. Dent. J. 42, 129–133. https://doi.org/10.1111/j.1834-7819.1997.tb00110.x (1997).
Carrea, J. U. Fotostenograms of palate folds, a new identification technic. Deutsche Zahnarztliche Zeitschrift 10, 11–17 (1955).
Thomas, C. J. & Kotze, T. J. The palatal rugae pattern in six southern African human populations, Part I: A description of the populations and a method for its investigation. J. Dent. Assoc. S. Afr. 38, 547–553 (1983).
Thomas, C. J. & Kotze, T. J. The palatal rugae pattern: A new classification. J. Dent. Assoc. S. Afr. 38, 153–157 (1983).
Küchler, E. C. et al. Buccal cells DNA extraction to obtain high quality human genomic DNA suitable for polymorphism genotyping by PCR-RFLP and Real-Time PCR. J. Appl. Oral Sci. 20, 467–471. https://doi.org/10.1590/s1678-77572012000400013 (2012).
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001, the Alexander-von-Humboldt-Foundation (Küchler/Kirschneck accepted in July 4th, 2019) and the São Paulo Research Foundation (FAPESP) (ECK funding number: 2015/06866-5).
Open Access funding enabled and organized by Projekt DEAL.
The authors declare no competing interests.
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Silva-Sousa, A.C., Marañón-Vásquez, G.A., Stuani, M.B.S. et al. Genetic variants in bone morphogenetic proteins signaling pathway might be involved in palatal rugae phenotype in humans. Sci Rep 11, 12715 (2021). https://doi.org/10.1038/s41598-021-92169-0