Aquaporin 5 Interacts with Fluoride and Possibly Protects against Caries

Abstract

Aquaporins (AQP) are water channel proteins and the genes coding for AQP2, AQP5, and AQP6 are clustered in 12q13. Since AQP5 is expressed in serous acinar cells of salivary glands, we investigated its involvement in caries. DNA samples from 1,383 individuals from six groups were studied. Genotypes of eight single nucleotide polymorphisms covering the aquaporin locus were tested for association with caries experience. Interaction with genes involved in enamel formation was tested. The association between enamel microhardness at baseline, after creation of artificial caries lesion, and after exposure to fluoride and the genetic markers in AQP5 was tested. Finally, AQP5 expression in human whole saliva, after exposure to fluoride in a mammary gland cell line, which is known to express AQP5, and in Wistar rats was also verified. Nominal associations were found between caries experience and markers in the AQP5 locus. Since these associations suggested that AQP5 may be inhibited by levels of fluoride in the drinking water that cause fluorosis, we showed that fluoride levels above optimal levels change AQP5 expression in humans, cell lines, and rats. We have shown that AQP5 is involved in the pathogenesis of caries and likely interacts with fluoride.

About the Authors:

Ida Anjomshoaa

Contributed equally to this work with: Ida Anjomshoaa, Jessica Briseño-Ruiz

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Jessica Briseño-Ruiz

Contributed equally to this work with: Ida Anjomshoaa, Jessica Briseño-Ruiz

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Kathleen Deeley

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Fernardo A. Poletta

Affiliation: ECLAMC (Latin American Collaborative Study of Congenital Malformations) at CEMIC (Center for Medical Education and Clinical Research), Buenos Aires, Argentina

Juan C. Mereb

Affiliation: ECLAMC at Hospital de Area El Bolson, El Bolson, RN, Argentina

Aline L. Leite

Affiliation: Bauru School of Dentistry, University of São Paulo, Bauru, SP, Brazil

Priscila A. T. M. Barreta

Affiliation: Bauru School of Dentistry, University of São Paulo, Bauru, SP, Brazil

Thelma L. Silva

Affiliation: Bauru School of Dentistry, University of São Paulo, Bauru, SP, Brazil

Piper Dizak

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Timothy Ruff

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Asli Patir

Affiliation: Department of Pedodontics, Medipol Istanbul University, Istanbul, Turkey

Mine Koruyucu

Affiliation: Department of Pedodontics, Istanbul University, Istanbul, Turkey

Zerrin Abbasoğlu

Affiliation: Department of Pediatric Dentistry, Yeditepe University, Faculty of Dentistry, Istanbul, Turkey

Priscila L. Casado

Affiliations Dental School, Clinical Research Unit, Federal Fluminense University - UFF, Niterói, RJ, Brazil, Biology Institute, Federal Fluminense University - UFF, Niterói, RJ, Brazil

Andrew Brown

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Samer H. Zaky

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Merve Bayram

Affiliation: Department of Pedodontics, Medipol Istanbul University, Istanbul, Turkey

Erika C. Küchler

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Margaret E. Cooper

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Kai Liu

Affiliation: Department of Endodontics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Mary L. Marazita

Affiliation: Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

İlknur Tanboğa

AAffiliation: epartment of Pediatric Dentistry, Marmara University, Faculty of Dentistry, Istanbul, Turkey

José M. Granjeiro

Affiliations Dental School, Clinical Research Unit, Federal Fluminense University - UFF, Niterói, RJ, Brazil, National Institute of Metrology (INMETRO), Niterói, RJ, Brazil

Figen Seymen

AAffiliation: epartment of Pedodontics, Istanbul University, Istanbul, Turkey

Eduardo E. Castilla

Affiliations ECLAMC (Latin American Collaborative Study of Congenital Malformations) at CEMIC (Center for Medical Education and Clinical Research), Buenos Aires, Argentina, ECLAMC at INAGEMP-CNPq (National Institute of Population Medical Genetics) at Department of Genetics, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil

Iêda M. Orioli

AAffiliation: CLAMC at INAGEMP-CNPq (National Institute of Population Medical Genetics) at Department of Genetics, Institute of Biology, Center of Health Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil

Charles Sfeir

AAffiliation: epartment of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Hongjiao Owyang

AAffiliation: epartment of Pediatric Dentistry, Marmara University, Faculty of Dentistry, Istanbul, Turkey

Marília A. R. Buzalaf

AAffiliation: auru School of Dentistry, University of São Paulo, Bauru, SP, Brazil

Alexandre R. Vieira

* E-mail: [email protected]

AAffiliation: epartment of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, United States of America

Introduction

Aquaporin 5 (AQP5) is a water channel protein expressed in the apical membranes of serous acinar cells in salivary and lacrimal glands, type I alveolar epithelial cells, surface corneal epithelial cells, and during tooth development [1–5]. The genes for AQP2, AQP5, and AQP6 are clustered in a small 27 kilobases region at 12q13 [6]. Although normal in appearance, Aqp5 null mouse’s saliva is remarkably viscous and of lower volume than saliva collected from wild type and heterozygous mice, however total protein secretion and amylase activity are not affected. The abnormal saliva volume, osmolarity, and electrolyte content in Aqp5 null mice implicate the involvement of AQP5 in transcellular fluid secretion across serous-type acinar cells [7]. Serous acinar cells contain multiple salt-transporting proteins for fluid secretion, whereas mucous cells secrete proteins, including amylase [8]. The normal protein, pH, and amylase content of saliva from Aqp5 null mice is consistent with the absence of AQP5 in mucous cells. Primary saliva should be near isotonic, becoming progressively hypotonic during its passage through the salivary duct. The hypertonic saliva from Aqp5 null mice suggests that active acinar cell salt secretion into the gland lumen occurs without adequate amounts of water [7]. In humans, the amount of AQP5 in unstimulated saliva is higher during waking hours and decreases during sleeping hours. AQP5 amounts tend to decrease with age, coinciding with the overall decrease in total volume of unstimulated saliva secretion with aging [9]. It has been suggested that AQP5 levels in saliva could be used as an index of the salivary flow rate of humans. AQP5 levels in saliva are decreased in type 1 diabetics and patients with Sjögren’s syndrome, concomitant with a decrease in the salivary secretion of these patients. In Alzheimer patients treated with donepezil, salivary secretion and salivary AQP5 levels are increased compared with those from same-age subjects without Alzheimer’s disease [10].

Saliva has bactericidal/bacteriostatic activities, agglutination and subsequent clearance of bacteria, selective recruitment of bacteria to the enamel pellicle, and resistance to decreased plaque pH [11,12], and functions in protection of the soft and hard oral surfaces from bacterial infection. While caries scores are significantly increased in Aqp5-deficient mice, there is not an overwhelming enhancement in caries levels as seen in desalivated mice. Clearly, the organic constituents of saliva also provide protection against caries, even at markedly reduced salivary flow (60 to 65%) [13]. This scenario is possibly what happens in humans. We hypothesize there is great variation in levels of salivary flow in the population, as well as in the composition of the saliva, and groups with higher caries experience may be over-represented by individuals with small but significant decreases in salivary flow related to decreased AQP5 activity due to genetic variation. These decreased levels of salivary flow may not be dramatic enough to have obvious clinical consequences or be related to direct patient complaints. Our group and others have shown that genes play a role in the host susceptibility component of the caries pathogenesis [14–32]. Wang et al. [29] studied two genetic variants in the aquaporin locus 12q13, rs923911 in AQP5 and rs1996315 in AQP6. The authors reported association with the marker located in AQP6, suggesting it would have a protective effect on caries experience. In the present study, aquaporin genetic variations were investigated in regards to their potential role in caries, as well as the potential mechanism of AQP5 that impacts the disease.

Materials and Methods

DNA Samples

Unstimulated saliva samples were obtained from all participants (subjects were asked to spit) and stored in Oragene DNA Self-Collection kits (DNA Genotek Inc) at room temperature until being processed. No centrifugation was performed in the saliva samples. No plaque samples were collected. DNA was extracted according to the manufacturer’s instructions. The only exception was the group from Brazil, which DNA was extracted immediately after saliva collection, based on a published protocol [33]. DNA samples from 1,383 subjects from five study groups analyzed sequentially were used in this project. These groups are summarized in Table 1.

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Table 1. Summary of all individuals analyzed in tests of association, gene expression, and enamel microhardness, and their genotypes^*.

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Pittsburgh, USA. DNA samples of 318 subjects from the University of Pittsburgh School of Dental Medicine Dental Registry and DNA Repository (DRDR) were studied first. The DRDR protocol is approved by the University of Pittsburgh Institutional Review Board (IRB# 0606091) and all subjects provided written informed consent prior to participation. Parents or legal guardians provided written inform consent for minors and an assent document was used for all children 7 years of age or older. The mean age of subjects was 43.23 years with ages ranging from 17 to 84 years.

Istanbul University, Istanbul, Turkey. DNA samples of 173 children recruited as approved by both the Istanbul University (IRB#2006/2508) and University of Pittsburgh (IRB # PRO07100045) Institutional Review Boards (IRB) were used to confirm initial results of Pittsburgh. Written informed consent was obtained from all parents of participant children. Eligible children were from 3 to 6 years of age and were enrolled in the Pedodontics clinics of Istanbul University and daycare facilities in the city of Istanbul.

Patagonian region, Argentina. DNA samples from 274 individuals comprising 76 families (143 individuals were unrelated) living in twelve Patagonia sites were studied (San Carlos de Bariloche, El Bolsón, Esquel, El Maitén, Maquinchao, Ingeniero Jacobacci, Rio Colorado, Choele Choel, Valcheta, Sierra Grande, Santo Antonio Oeste, and General Roca). The mean age was 21.7 years (between infants under 1 and 72 years with median of 18 years) and both the Centro de Educación Médica e Investigaciones Clínicas “Norberto Quirno” (CEMIC) (IRB#543) and University of Pittsburgh (IRB#405013) Institutional Review Boards approved the study of these samples and appropriate written informed consent was obtained from all participants (parents provided consent for the participation of individuals 17 years of age and under). For this particular study group, saliva samples were collected twice from each participant. One was used for DNA extraction, and the second was used for RNA extraction. Oragene RNA Self-Collection kits (DNA Genotek Inc) were used for the second saliva sample and these samples were also kept at room temperature until being processed. No centrifugation was performed in the saliva samples.

Marmara University, Istanbul, Turkey. DNA samples from 259 children recruited as approved by the Human Ethics Committee of Marmara University (IRB#06.01.2012–5), and the University of Pittsburgh IRB (IRB # PRO07100045) were also studied. Written informed consent was obtained from all parents of the participant children. All participants were unrelated systemically healthy children from 2 to 5 years of age whose parents denied systemic fluoride consumption, seeking dental treatment at the Pediatric Dental Clinics of Marmara University.

Niterói, Brazil. Finally, 359 DNA samples from individuals recruited as approved by the Research Ethics Board at the Fluminense Federal University, Niterói, Rio de Janeiro state (CEP CMM/HUAP 070/07 under protocol CAAE 0061.0.258.000–07), and University of Pittsburgh IRB (IRB#PRO012080056) were studied. Written informed consent was obtained from all participants. The mean age of subjects was 55.8 years with ages ranging from 41.4 to 67.7 years.

Caries Experience

Caries experience data (DMFT/dmft) were collected according to a modification of the World Health Organisation protocol of 1997 [34]. In brief, visible lesions in dentin, as well as visible active lesions in enamel (white spots) were scored as decayed. An explorer was gently used for assessing the smoothness of tooth surfaces. Exam calibrations were possible in Brazil and Turkey and were performed according to the following protocol: First, the calibrator presented to the examiner(s) the criteria for caries detection, showing pictures of several situations to be observed in the exam (sound and decayed tooth surfaces, filled teeth with and without secondary lesions, missing teeth due to caries or due to other reasons) and discussing each of these situations in a session that lasted one to two hours. Next, the calibrator and examiner(s) examined 10 to 20 subjects and discussed each case.

Pittsburgh. Data from the DRDR were extracted from the dental records by one of the coauthors (I.A.) after the review of chart notes and radiographs. No exam calibration was possible. Aside from DMFT/dmft scores, DMFS/dmfs scores were also obtained. Water is Pittsburgh is fluoridated and subjects from the DRDR are commonly affected by the most common adult diseases [35]. Since saliva flow is an important parameter related to the possible genetic influence of aquaporin, we defined two variables for this population group to serve as a proxy for direct assessment of saliva flow. “Saliva flow” was defined based on the amount of saliva subjects spit during the saliva sample collection for DNA extraction (in general patients take 5 minutes to provide 4.0 milliliters of saliva). Any subject that spit less than 3.0 milliliters was considered as having low salivary flow. Also, the reported medications taken by each subject was used to categorize him or her into two groups: Using medications that cause decreased salivary flow (or dry mouth) as a reported side effect (the list of medications we used as reference is presented as a supplement; S1 Table), and using medications with no side effects affecting salivary flow. Individuals using no medications were grouped with the individuals that have medications causing no salivary flow reduction. These two variables were used to adjust the genetic association analysis.

Istanbul University, Istanbul, Turkey. In the case of data from University of Istanbul, one of the authors (A.P.) carried out the clinical examination after being calibrated by an experienced specialist (F.S.). The intra-examiner agreement was assessed by a second clinical exam in 10% of the sample after 2 weeks, with a κ of 1.0. Differently from the rest of the groups, preference was given to children with four or more decayed or filled tooth surfaces, or children with no evidence of caries (including no evidence of white-spot lesions), and no history of caries. Radiographs were available for all participants and dmfs scores were also generated. Subjects with dmfs > 0 but < 4 were not included in the study. Most parents reported not brushing the teeth of their children. Drinking water in the region is not artificially fluoridated.

Patagonian region, Argentina. In the case of Argentina, data were collected by one single experienced specialist examiner (A.R.V.). Subjects in these projects are seen over a period of no longer than three to five days and intra-examiner agreement data could not be generated. No radiographs were available but drinking water in some sites has a high concentration of fluoride and many subjects had moderate to severe fluorosis.

Marmara University, Istanbul, Turkey. Subjects from the Marmara University were examined by one of the coauthors (Z.A.), after calibration by an experienced specialist (A.M.K.). Radiographs were available and both dmft and dmfs scores were obtained. Subjects with dmfs = 1 were not included in the study. The intra-examiner agreement was assessed by a second clinical exam in 10% of the sample after 2 weeks, with a κ of 1.0.

Niterói, Brazil. Subjects from Niterói, Brazil, were examined by one of the coauthors (P.L.C.). Since this cohort was older than the previous ones studied, we defined two discreet groups of caries experience (low and high caries experience) based on age for analyses (Table 2).

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Table 2. Criteria used to define caries experience in the samples from Niterói, Brazil.

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Single Nucleotide Polymorphism (SNP) Genotyping and Association Analysis

In order to select markers for the AQP5 gene we used data from the International HapMap Project (haplotype map of the human genome). Single nucleotide polymorphisms (SNPs) were selected based on minor allele frequency, the gene structure and linkage disequilibrium relationships between SNPs (Fig 1). We used the approach devised by Carlson et al. [36], selecting from a set of SNPs that maximally represent the linkage disequilibrium structure of a given region.

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Fig 1. Linkage disequilibrium plot illustrating the aquaporin locus on 12q13 region investigated.

The single nucleotide polymorphisms are located in their approximate geographic positions in the chromosome and are distributed among the three genes. The relationship between two SNPs is represented by the intersection between the two squares and may present different colors (or color intensity) based on the value obtained for each pair. Red indicates D’ = 1 and LOD ≥ 2. Blue indicates D’ = 1 and LOD < 2. Shades of red/pink indicate D’< 1 and LOD ≥ 2. White indicates D’< 1 and LOD < 2. Markers selected for this studied include rs457487, rs467323, rs10875989, rs2878771, rs3759129, rs296759, rs296763, and rs1996315.

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Eight selected SNPs (Fig 1, Table 1) were genotyped using Taqman chemistry [37] on an automatic sequence-detection instrument (ABI Prism 7900HT, Applied Biosystems, Foster City, CA). Assays and reagents were supplied by Applied Biosystems (Applied Biosystems, Foster City, CA).

Hardy-Weinberg equilibrium tests were performed to test for deviations in the genotype and allele distributions. We used logistic regression analysis (as performed by the PLINK analysis software [38]) to investigate main-effect models to predict caries status. All analyses were adjusted by age and sex, and the data from Pittsburgh was also adjusted by salivary flow and the use of medications that cause dry mouth. A p-value ≤ 0.05 was considered nominally statistically significant, with a p-value lower than 0.006 significant after correction for multiple comparisons. The FBAT package [39] was used to analyze the data from Argentina. These analyses were done with all the families combined, as well as subdivided by families from sites where moderate to severe fluorosis was identified and by sites without clinical fluorosis. P-values 0.05 or lower were considered statistically significant. Both single marker and haplotype analyses were performed.

Mutation Analysis

We carried out mutation analysis on the aquaporin genes in 12q13 in 322 DNA samples from unrelated individuals (96 from Pittsburgh, 173 from Istanbul, Turkey, and 53 from Argentina). These genes included AQP2, AQP5, and AQP6. Reference sequences were obtained from the Ensembl Genome Browser (http://useast.ensembl.org/index.html). The primers used for PCR amplification are available upon request. DNA was amplified by 35 cycles of at 95°C for 30 seconds, 55°C for 30 seconds, and 72°C for 1 minute and PCR products were directly sequenced using an ABI PRISM BigDye^™ Terminator Cycle Sequencing Ready Reaction Kit and an ABI 3730xl DNA Analyzers (Applied Biosystems, CA, USA). Sequences obtained were verified against the sequences in the Ensembl Genome Browser and two unrelated CEPH (Foundation Jean Dausset-Centre d'Etude du Polymorphisme Humain) controls.

Gene-Gene Interaction Analysis

The evidence that AQP5 is expressed in the dental lamina, inner enamel epithelium, stratum intermedium, stellate reticulum and the outer enamel epithelium [5], although the amount of observed expression in these different structures depend on the tooth germ being on the early versus the late bell stage, suggest a possible mechanism of AQP5 in caries is related to the characteristics of the enamel structure and how susceptible this structure is to the carious attack. To generate data that may support this hypothesis, we tested if there is statistical evidence that AQP5 alleles are associated with caries experience depending on genetic variation in genes reported to contribute to the formation of enamel formation (ameloblastin, amelogenin, enamelin, tuftelin, and tuftelin interacting protein 11). Genotypes for these genes were generated in markers used in our previous studies [15, 16, 24, 40] in the Turkish data set from the Marmara University according to the description above. Logistic regression was used to test for association between AQP5 alleles and caries experience, depending on genetic variants in enamel formation genes. P ≤ 0.05 were considered statistically significant.

mRNA expression analysis of AQP5

Whole saliva RNA samples were obtained from 152 individuals from the Argentinean population described above and total RNA from saliva was isolated using RNeasy Micro kit (Qiagen, CA, USA). mRNA expression analysis of AQP5 was performed. Total RNA from the submaxillary salivary gland epidermoid carcinoma cell line HTB-41^™ and from the mammary gland/breast adenocarcinoma cell line HTB-22^™ (American Type Culture Collection, Manassas, VA, USA) were also isolated and studied. This breast cancer cell line was chosen since it is known to express AQP5. 100 ng of total RNA from whole saliva was reverse-transcribed with the High Capacity cDNA Reverse Transcription kit (Applied Biosystems, CA, USA). The primers used for the RT-PCR and real-time PCR are available upon request. β-Actin was used as endogenous control. For real-time PCR analysis, PCR amplification of cDNA was performed by SYBR Green PCR Master Mix (Applied Biosystems, CA, USA). Products spanned at least one intron, so that cDNA products were distinguishable from potential genomic DNA products. After an initial denaturation at 95°C for 5 minutes, 40 cycles at 95°C for 45 seconds, 55°C for 45 seconds, and 72°C for 90 seconds were performed in a 7900HT Real-time PCR system. The quantification of mRNA expression levels relative to β-Actin was performed by 2DDCT method [41]. The Student’s t test was used to analyze differences based on caries experience, age, sex, and living in an area with high fluorosis experience. P-value ≤ 0.05 was considered statistically significant.

To validate the mRNA data from the experiment in human saliva, we compared mRNA expression levels with protein levels of AQP5 in eight healthy adult individuals without any caries activity. After generating mRNA data as described above, the same saliva samples had their proteins extracted. Proteins were transferred to PVDF nylon membranes and exposed to COOH-terminal-specific anti-AQP5 antibody (Santa Cruz Biotechnology, Inc., Santa Cruz, CA, USA). Alkaline phosphatase conjugated secondary antibodies were used and detection of antibody binding was carried out using alkaline phosphatase detection kit (Vector Laboratories, Burlingame, CA, USA) [42].

AQP5 Expression in Cells Exposed to High Concentrations of Fluoride

The mammary gland/breast adenocarcinoma cell line HTB-22^™ (American Type Culture Collection, Manassas, VA, USA) was cultured and incubated to mimic increased levels of fluoride exposure, similar to the levels found in the Argentinean region (up to 10 ppm in parts of the country with mean levels of 3.2 (standard deviation 2.7) [43,44], Fig 2 shows the sites where clinical fluorosis was found in our study). This cell line was chosen since it is reported to express AQP5. We also attempted to perform these experiments in the submaxillary salivary gland epidermoid carcinoma cell line HTB-41^™ (American Type Culture Collection, Manassas, VA, USA), however we did not detect any evidence of AQP5 expression in these cells.

[Figure omitted. See PDF.]

Fig 2. Arrows indicate sites where saliva samples were collected in Argentina.

Red arrows indicate sites with very high frequency of cases with moderate to severe fluorosis and blue arrows sites where virtually no fluorosis cases were found.

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Five cell cultures were established. Each culture was incubated for 20 hours with NaF (Thermo Fisher Scientific, Beverly, MA, USA) for 20 hours at concentrations of 1ppm (50μM), 2ppm (100μM), 4ppm (200μM), and 5ppm (250μM) of F. One culture was not exposed to NaF and served as reference. The expression of AQP5 in cultures treated with various concentrations of NaF was compared by means of ANOVA with the Tukey post hoc test. Statistical significance was defined as p-value ≤ 0.05.

Aqp5 Expression in Wistar Rats Exposed to Fluoridated Water

Male weanling Wistar rats were distributed into three groups containing 9 animals each that differed in respect to the fluoride concentration in the drinking water (control that received deionized water, 5 ppm F or 50 ppm F, as NaF). The animals were housed in groups of three per cage into climate-controlled room at 21.0 ±3°C with 55±5% relative humidity under 12 hours light/dark cycle, and received food and water ad libitum for 60 days. At the end of the experimental period the animals were anaesthetized with ketamine and xylazine and parotid glands were collected and flash frozen. All experimental protocols were approved by the Ethics Committee for Animal Experiments of Bauru Dental School, University of São Paulo (Protocol 31/2010).

Western blots were performed as previously described [45]. Submandibular glands were removed and homogenized in RIPA buffer (150 mM sodium chloride, 0.5% sodium deoxycholate, 0.1% SDS, 1% NP-40, 50 mM Tris) supplemented with protease inhibitors (Roche Diagnostics, Mannheim, Germany). After removal of the tissue debris by centrifugation at 800 g for 15 minutes at 4°C, protein concentrations were determined by Quick Start^™ Bradford (Bio-Rad, Hercules, USA) [46]. Protein samples (40 μg) were resolved by 15% sodium dodecyl sulfate-polyacrylamide gel electrophoresis and transferred to polyvinylidene fluoride membranes. For immunoblotings, membranes were incubated with primary antibodies anti-aquaporin 5 (1:5000) (Millipore, USA) and anti-α-Tubulin (1:5000) antibodies (Abcam ab52866) for 2 hours at room temperature followed 1 hour with HRP-linked secondary antibodies (1:2000) (GE healthcare, Buckinghamshire, UK). Blots were developed using ECL Prime (GE healthcare, Buckinghamshire, UK) detection reagents and then exposed to X-ray film. Blots films were digitalized with ImageScanner II (GE Heathcare, Uppsala, Sweden) and density was determined by Image J software (NIH, USA). Relative density was obtained after normalization with GAPDH, and the data were submitted to one-way analysis of variance (ANOVA) followed by Bonferroni post-hoc tests performed by GraphPad Prism 5 (GraphPad Software, San Diego, USA).

Enamel Microhardness and Association with Aquaporin Locus Genetic Variants

Enamel samples from extracted premolar teeth from 100 orthodontic adolescent patients (63 with high dental caries experience and 37 with low caries experience) from Istanbul University were used in enamel microhardness testing (Table 1). The enamel samples came from premolars and were used to test the association between genetic variation in aquaporins and enamel microhardness at baseline, after simulating artificial caries, and after fluoride treatment. The goal was to test the hypothesis that aquaporin influences dental caries by generating a more susceptible enamel surface to acidic dissolution. The Ethics Committee of Istanbul University approved this study, and informed consent from all participating patients was obtained. Subjects age ranged from ten to 32 years (mean age of 17.2 years; 38 males and 62 females). The mean DMFT ranged from zero to 17 (mean DMFT 5.2; 63 with high caries experience and 37 with low caries experience). Tooth samples were cleaned of any remnants and stored in a 10% formalin solution (pH = 7.0) at room temperature until the initial polishing. The crowns of each tooth were separated from the roots and then separated again buccolingually and mesiodistally. The five surfaces studied were occlusal, mesial, buccal, distal, and lingual. The surfaces were sanded for one minute, at a force of 1 lbf, while moving at a speed of 20 rpm on paper of 320, 400, and 600 grit, and then polished for seven minutes at a force of 1 lbf at a speed of 25 rpm in 6μm, 1μm, and 0.25μm diamond suspension. Sample baseline microhardness was tested using a microhardness tester (IndentaMet 1100, Buehler Ltd.) with a knoop diamond. Five indentations under a load of 25 grams for five seconds were made. Next, artificial caries was simulated by immersing the samples in 24 mL of demineralizing solution (1.3 mmol/L Ca, 0.78 mmol/L P, 0.05 mol/L acetate buffer, 0.03 μg F/mL, pH:5.0) at 37°C for 16 hours. Microhardness was again measured by five indentations created just below the initial ones. These indentations were then exposed for ten minutes to a fluoride solution, created from toothpaste containing sodium fluoride (1,400 ppm fluoride), to determine if microhardness for the artificial caries lesions would be brought back to baseline levels after fluoride exposure. Again, surface microhardness was measured with five more indentations below the previous ten.

The results of the microhardness testing were compared to the genotyping of DNA extracted from saliva from each of the 100 patients. Results were analyzed using the PLINK software package. [38] Mean microhardness at baseline, after artificial caries lesion creation, and after fluoride application was calculated. Subjects were divided into two comparison groups: above and below the means. We made comparisons by surface, as well as by using the mean enamel microhardness of all five surfaces combined. A p-value of 0.05 was considered statistically significant.

Results

Single Nucleotide Polymorphism (SNP) Genotyping and Association Analysis

All genotypes (Table 1) were in Hardy-Weinberg equilibrium. Multiple nominally significant associations were found between all population groups and markers in the AQP5 locus. In the sample from Pittsburgh, the best model showed that higher caries experience is influenced by a combination of older age, use of medications that cause xerostomia and genetic variation in AQP5 SNPs rs3759129 (p = 0.03) and rs10875989 (p = 0.04). Since the influence of age on caries experience in this group was marked, we also tested a pediatric case-control cohort from Istanbul University, Turkey. This analysis confirmed an association between higher caries experience and rs3759129 (p = 0.03). The analyses of the cohort of families from Argentina only revealed associations when families from sites with clinical fluorosis were excluded from the analyses (Fig 2). The haplotypes of the AQP5 locus SNPs rs461872-rs1996315 under a dominant model (p = 0.03), and rs461872-rs1996315 (p = 0.05) and rs3759129-rs1996315 (p = 0.01) under a recessive model showed association with higher caries experience. The additional analysis of the second cohort from Turkey (Marmara University) showed an association between rs467323 and higher caries experience (p = 0.03). Finally, the sample from Brazil showed an association between higher caries experience and rs10875989 (p = 0.01 under a recessive model).

Mutation Analysis

To test the hypothesis that a variant in the coding region of AQP2, AQP5, or AQP6 in linkage disequilibrium with the studied markers contributed to caries, we performed sequencing of all exons and exon-intron boundaries of these three genes but no coding variants were identified, despite some non-synonymous variants are reported in public databases. Although AQP2 and AQP6 are not know for being expressed in the salivary glands aside from the kidneys, these genes were included in the analysis since they are in close proximity to AQP5.

Gene-Gene Interaction Analysis

We found statistical evidence for interaction between a marker in AQP5 (rs3759129) and rs3759129 in tuftelin (p = 0.02).

mRNA expression analysis of AQP5

AQP5 expression is higher in whole saliva of individuals older than 12 years of age with low caries experience (p = 0.03; Fig 3). AQP5 expression in whole saliva of individuals from areas with fluorosis is decreased (p = 0.04; Fig 4). The detection of AQP5 mRNA in whole saliva of healthy adults without caries activity correspond to the presence of the protein (Fig 5).

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Fig 3. AQP5 expression in whole saliva based on caries experience in teenagers (above) and adults (below).

The expression is higher when individuals have lower caries experience. The increased expression in adults classified as high caries experience likely corresponds to lack of caries activity as assessed by the increased number of missing teeth rather that active decayed teeth. Caries experience was defined as “Very Low,” “Low,” “Moderate,” and “High” according to our previous work [17]. These discreet groups include caries experience levels taking into consideration ages, since DMFT scores tend to increase in individuals as they get older.

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Fig 4. AQP5 expression in whole saliva is lower [N = 12 children (ch) and teenagers (teen)] in individuals with moderate to severe fluorosis [N = 34 children (ch) and teenagers (teen)].

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[Figure omitted. See PDF.]

Fig 5. Immunoblot analysis of saliva samples from eight healthy adults without any caries experience demonstrated that AQP5 can be detected both by quantitative real time PCR as well as western blotting (all eight samples had expression levels of AQP5 similar to the samples with low caries experience from the Argentinean cohort.

https://doi.org/10.1371/journal.pone.0143068.g005

AQP5 Expression in Cells Exposed to High Concentrations of Fluoride

AQP5 expression in mammary gland/breast adenocarcinoma cell line HTB-22^™, a cell line known to express AQP5, decreased 40% to 80% with exposure to higher concentrations of fluoride compatible to clinical fluorosis in humans (Fig 6). The data also suggest that this decline in AQP5 expression is not dose dependent.

[Figure omitted. See PDF.]

Fig 6. AQP5 expression in mammary gland/breast adenocarcinoma cell line HTB-22^™ after exposure to higher concentrations of fluoride decreases.

https://doi.org/10.1371/journal.pone.0143068.g006

Aqp5 Expression in Wistar Rats Exposed to Fluoridated Water

Fluoridated water at optimal level (1 ppm in humans, which is equivalent to 5 ppm for rats) increases the expression of Aqp5 in the submandibular gland of rats (Fig 7).

[Figure omitted. See PDF.]

Fig 7. Effect of chronic exposure to F in Aqp5 expression in the submandibular glands of rats.

(A) Representative blotting of Aqp5 (~28 kDa) and loading control α-Tubulin (~50 kDa). (B) Relative densitometric analysis of Aqp5 protein normalized with α-Tubulin. The expression of Aqp5 was significantly higher in fluoride exposed groups when compared with control (*p<0.05). Values are mean ± SD of three independent experiments.

https://doi.org/10.1371/journal.pone.0143068.g007

Enamel Microhardness and Association with Aquaporin Locus Genetic Variants

We found no evidence of association between genetic variants in the aquaporin locus and enamel microhardness. Enamel microhardness data are available as a supplement, S2 Table.

Discussion

Studies of the human red blood cell RH protein led to the discovery of a water channel protein, aquaporin 1 (AQP1). Transfer of AQP1-injected Xenopus laevis oocytes to hypotonic solution led to swelling and rupture, which provided evidence that AQP1 was a water-specific channel [47]. Two decades after of this discovery, the first human trials of adenoviral-mediated transfer of AQP1 cDNA for radiation-induced salivary hypofunction are showing subjective improvement in xerostomia [48]. It turns out AQP1 is required for the kidney to concentrate urine, but it is absent in glandular epithelia. AQP5 provides the pathway for water secretion of lacrimal and salivary glands. Salivary glands consist of secretory lobules with serous- and mucous-secreting cells and excretory ducts lined with a distinct epithelium that modifies the basal cell secretions. Neural and hormonal stimuli induce large and rapid reductions in the cell volume of salivary acinar cells [49]. The potential of modulating saliva function made us hypothesize that genetic variation in AQP5 contributes to the pathogenesis of caries. In the present study, we designed a series of experiments to demonstrate that an association between caries experience and AQP5 genetic variation and to explore the possible mechanisms of AQP5’s contribution to caries risk.

Our genetic association studies suggested there is an association between caries experience and genetic variation in or flanking AQP5. These results confirm a previous study done in North Americans [29] but demonstrate how challenging it is to interpret such results. We cannot find positive association results for the same genetic markers, likely due to differences in allele frequencies, phenotype definitions, statistical power, and demographics of the populations studied. Hence, these studies provided us with two notable clues:

1) The evaluation of adults from Pittsburgh suggested that studying adults was likely confounded by the influence of age in the caries experience of the population. We decided to eliminate the age effect by studying a much younger group with primary dentition where the controls were older than the cases. These analyses suggested that the same marker in AQP5 is associated with high caries experience in adults and in children; and, 2) The studies with the samples from Argentina, which included families recruited in sites where fluorosis is prevalent, allowed the evaluation of genetic associations based on the origin of the samples (i.e., samples from a site with fluorosis versus a site without fluorosis). Associations were found only when samples from sites where fluorosis can be found were excluded from the analysis. We hypothesized that the excess of fluoride interferes with the function of AQP5. We tested this hypothesis by three approaches. We evaluated the expression of AQP5 in whole saliva from humans and demonstrated that the expression is lower in individuals from areas where fluorosis can be found. These expression levels correspond to the detection of the protein itself in saliva. We also found that AQP5 expression was higher in individuals with lower levels of caries experience. When we exposed a cell-line reported to express AQP5 to high concentrations of fluoride, we demonstrated that AQP5 expression is the same at optimal levels of fluoride and decreases in a non dose-dependent manner in response to higher concentrations. Finally, we showed the opposite effect in vivo, when we exposed rats to optimal and higher levels of fluoride in the drinking water and showed that Aqp5 expression is higher at optimal and higher levels of fluoride in the water. This evidence suggests that optimal levels of fluoride in the drinking water may have the additional benefit of stimulating the expression of AQP5, which in turn may increase the protection against caries.

We also showed that AQP5 may interact with proteins involved in enamel development, thereby impacting the formation of this structure and making it more or less susceptible to caries. However, we found no evidence that genetic variants in the aquaporin locus are associated with enamel microhardness, which suggests the most relevant contribution of AQP5 to caries involves saliva function rather than influencing enamel development.

The importance of fluoride in preventing caries by favorably interfering in the demineralization-remineralization processes is well established. Fluoride has also an antimicrobial effect by inhibiting a number of bacterial enzymes, including enolase, an enzyme involved with substrate uptake and energy metabolism [50]. Another mechanism influencing caries progression in dentine involves matrix metalloproteinases (MMPs). We have shown that genetic variants in MMP2 and MMP3 are associated with periapical lesion formation in teeth with untreated deep caries lesions [51]. Further studies showed that MMP2 and MMP9 are inhibited by sodium fluoride (50–275 ppm of fluoride). This effect is irreversible at 5,000 ppm of fluoride [52]. Our study demonstrates for the first time an additional mechanism of fluoride that potentially impacts caries, which includes stimulating AQP5 expression in saliva.

In summary, we report evidence confirming previous suggestions that AQP5 is associated with caries experience in humans and propose that the mechanism for the possible influence of AQP5 in the pathogenesis of caries involve the impact on saliva function. We also showed evidence that AQP5 and fluoride interact and may act synergistically in certain individuals to protect them against caries.

Supporting Information

[Figure omitted. See PDF.]

S1 Table. Medications that cause Xerostomia: http://www.drymouth.info/consumer/searchResults.asp.

https://doi.org/10.1371/journal.pone.0143068.s001

(DOCX)

S2 Table. Summary Results of the enamel microhardness tests.

DMFT/DMFS are the caries experience scores (Decayed, Missing due to caries, Filled Teeth or Surfaces). Each subject had one first premolar studied [mandibular (1st P.L) or maxillary (1st P.U)]. Know enamel microhardness was accessed 5 times at baseline, after artificial caries creation, and after fluoride exposure and a mean was calculated (value after the column that is colored). Samples were grouped based on mean values above (blue color) and below (Yellow color) the mean of the total sample.

https://doi.org/10.1371/journal.pone.0143068.s002

(XLSX)

Author Contributions

Conceived and designed the experiments: ARV IA ECK MLM IT JMG FS EEC IMO CS MARB. Performed the experiments: IA JB-R KD FAP JCM ALL PATMB TLS PLC AB SHZ MB ECK PD TR AP MK ZA KL HO. Analyzed the data: ARV IA JB-R PLC ZA MEC. Contributed reagents/materials/analysis tools: ARV. Wrote the paper: ARV IA JB-R MARB.

Citation: Anjomshoaa I, Briseño-Ruiz J, Deeley K, Poletta FA, Mereb JC, Leite AL, et al. (2015) Aquaporin 5 Interacts with Fluoride and Possibly Protects against Caries. PLoS ONE 10(12): e0143068. https://doi.org/10.1371/journal.pone.0143068

References

1. Hamann S, Zeuthen T, LaCour M, Nagelhus EA, Ottersen OP, Agre P, et al. (1998) Aquaporins in complex tissues: distribution of aquaporins 1–5 in human and rat eye. Am J Physiol 274: C1332–C1345. pmid:9612221

2. Ishida N, Hirai SI, Mita S (1997) Immunolocalization of aquaporin homologs in mouse lacrimal glands. Biochem Biophys Res Commun 238: 891–895. pmid:9325187

3. Nielsen S, King LS, Christensen BM, Agre P (1997) Aquaporins in complex tissues. II. Subcellular distribution in respiratory and glandular tissues of rat. Am J Physiol 273: C1549–C1561. pmid:9374640

4. Funaki H, Yamamoto T, Koyama Y, Kondo D, Yaoita E, Kawasaki K, et al. (1998) Localization and expression of AQP5 in cornea, serous salivary glands, and pulmonary epithelial cells. Am J Physiol 275: C1151–C1157. pmid:9755069

5. Felszeghy S, Módis L, Németh P, Hagy G, Zelles T, Agre P, et al. (2004) Expression of aquaporin isoforms during human and mouse tooth development. Arch Oral Biol 49: 247–257. pmid:15003543

6. Ma T, Yang B, Kuo WL, Verkman AS (1996) cDNA cloning and gene structure of a novel water channel expressed exclusively in human kidney: evidence for a gene cluster of aquaporins at chromosome locus 12q13. Genomics 35: 543–550. pmid:8812490

7. Ma T, Song Y, Gillespie A, Carlson EJ, Epstein CJ, Verkman AS (1999) Defective secretion of saliva in transgenic mice lacking aquaporin-5 water channels. J Biol Chem 274: 20071–20074. pmid:10400615

8. Spring KR (1998) Routes and mechanism of fluid transport by epithelia. Annu Rev Physiol 60: 105–119. pmid:9558456

9. Pan Y, Iwata F, Wang D, Manuguchi M, Ooga K, Ohmoto Y, et al. (2009) Identification of aquaporin-5 and lipid rafts in human resting saliva and their release into cevimeline-stimulated saliva. Biochem Biophys Acta 1790: 49–56. pmid:18822351

10. Wang D, Iwata F, Muraguchi M, Ooga K, Ohmoto Y,Takai M, et al. (2009) Correlation between salivary secretion and salivary AQP5 levels in health and disease. J Med Inv 56: 350–353.

11. Scannapieco FA (1994) Saliva-bacterium interactions in oral microbial ecology. Crit Rev Oral Biol Med 5: 203–248. pmid:7703323

12. Nieuw Amerongen AV, Veerman ECI (2002) Saliva: The defender of the oral cavity. Oral Dis 8: 12–22. pmid:11936451

13. Culp DJ, Quivey RQ, Bowen WH, Fallon MA, Pearson SK, Faustoferri R (2005) A mouse caries model and evaluation of Aqp5-/- knockout mice. Caries Res 39: 448–454. pmid:16251788

14. Slayton RL, Cooper ME, Marazita ML (2005) Tuftelin, mutans streptococci, and dental caries susceptibility. J Dent Res 84: 711–714. pmid:16040727

15. Deeley K, Letra A, Rose EK, Brandon CA, Resick JM, Marazita ML. (2008) Possible association of amelogenin to high caries experience in a Guatemalan-Mayan population. Caries Res 42: 8–13. pmid:18042988

16. Patir A, Seymen F, Yildirim M, Deeley K, Cooper ME, Marazita ML (2008) Enamel formation genes are associated with high caries experience in Turkish children. Caries Res 42: 394–400. pmid:18781068

17. Vieira AR, Marazita ML, Goldstein-McHenry T (2008) Genome-wide scan finds suggestive caries loci. J Dent Res 87: 435–439. pmid:18434572

18. Azevedo LF, Pecharki GD, Brancher JA, Cordeiro CA Jr, Medeiros KG, Antunes AA, et al. (2010) Analysis of the association between lactotransferrin (LTF) gene polymorphism and dental caries. J Appl Oral Sci 18: 166–170. pmid:20485928

19. Ozturk A, Famili P, Vieira AR (2010) The antimicrobial peptide DEFB1 is associated with caries. J Dent Res 89: 631–636. pmid:20371866

20. Wendell S, Wang X, Brown M, Cooper ME, DeSensi RS, Weyant RJ, et al. (2010) Taste genes associated with dental caries. J Dent Res 89: 1198–1202. pmid:20858777

21. Kang SW, Yoon I, Lee HW, Cho J (2011) Association between AMELX polymorphisms and dental caries in Koreans. Oral Dis 17: 399–406. pmid:21114591

22. Shaffer JR, Wang X, Feingold E, Lee M, Begum F, Weeks DE, et al. (2011) Genome-wide association scan for childhood caries implicates novel genes. J Dent Res 90: 1457–1462. pmid:21940522

23. Kulkarni GV, Chng T, Eny KM, Nielsen D, Wessman C, El-Sohemy A (2012) Association of GLUT2 and TAS1R2 genotypes with risk for dental caries. Caries Res 47: 219–225. pmid:23257979

24. Shimizu T, Ho B, Deeley K, Briseño-Ruiz J, Faraco IM Jr, Schupack BI, et al. (2012) Enamel formation genes influence enamel microhardness before and after cariogenic challenge. PLoS ONE 7: e45022. pmid:23028741

25. Tannure PN, Küchler EC, Falagan-Lotsch P, Amorim LMF, Luiz RR, Costa MC, et al. (2012) MMP13 polymorphism decreases risk for dental caries. Caries Res 46: 401–407. pmid:22710194

26. Tannure PN, Küchler EC, Lips A, Costa MC, Luiz RR, Granjeiro JM, et al. (2012) Genetic variation in MMP20 contributes to higher caries experience. J Dent 40:b381–386.

27. Valarini N, Maciel SM, Moura SK, Poli-Frederico RC (2012) Association of dental caries with HLA class II allele in Brazilian adolescents. Caries Res 46: 530–535. pmid:22907134

28. Wang X, Shaffer JR, Zeng Z, Begum F, Vieira AR, Noel J, et al. (2012) Genome-wide association scan of dental caries in the permanent dentition. BMC Oral Health 12: 57. pmid:23259602

29. Wang X, Willing MC, Marazita ML, Wendell S, Warren JJ, Broffitt B, et al. (2012) Genetic and environmental factors associated with dental caries in children: The Iowa Fluoride Study. Caries Res 46: 177–184. pmid:22508493

30. Shaffer JR, Feingold E, Wang X, Lee M, Cuenco KT, Weeks DE, et al. (2013) GWAS of dental caries patterns in the permanent dentition. J Dent Res 92: 38–44. pmid:23064961

31. Shimizu T, Deeley K, Briseño-Ruiz J, Faraco IM Jr, Poletta FA, Brancher JA, et al. (2013) Fine-mapping of 5q12.1–13.3 unveils new genetic contributors to caries. Caries Res 47: 273–283. pmid:23363935

32. Zeng Z, Shaffer JR, Wang X, Feingold E, Weeks DE, Lee M, et al. (2013) Genome-wide association studies of pit-and-fissure- and smooth-surface caries in permanent dentition. J Dent Res 92: 432–437. pmid:23470693

33. Küchler EC, Tannure PN, Falagan-Lotsch P, Lopes TS, Granjeiro JM, Amorim LM (2012) 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. pmid:23032210

34. World Health Organisation (1997) Oral health surveys—Basic methods: 4th ed. Geneva: World Health Organisation.

35. Anjomshoaa I, Cooper ME, Vieira AR (2009) Caries is associated with asthma and epilepsy. Eur J Dent 3: 297–303. pmid:19826602

36. Carlsson CS, Eberle MA, Rieder MJ, Yi Q, Kruglyak L, Nickerson DA (2004) Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium. Am J Hum Genet 74: 106–120. pmid:14681826

37. Ranade K, Chang MS, Ting CT, Pei D, Hsiao CF, Olivier M, et al. (2001) High-throughput genotyping with single nucleotide polymorphisms. Genome Res 11: 1262–1268. pmid:11435409

38. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. (2007) PLINK: a toolset for whole-genome association and population-based linkage analysis. Am J Hum Genet 81: 559–575. pmid:17701901

39. Horvath S, Xu X, Laird NM (2001) The family based association test method: strategies for studying general genotype-phenotype associations. Eur J Hum Genet 9: 301–306. pmid:11313775

40. Abbasoğlu Z, Tanboğa İ, Küchler EC, Deeley K, Weber M, Kaspar C, et al. (2014) Early childhood caries is associated with genetic variants in enamel formation and immune response genes. Caries Res [In Press]

41. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)). Methods 25: 402–408. pmid:11846609

42. Kumari SS, Varadaraj M, Yerramilli VS, Menon AG, Varadaraj K (2012) Spatial expression of aquaporin 5 in mammalian cornea and lens, and regulation of its localization by phosphokinase A. Mol Vision 18: 957–967.

43. Carrera AP, Cirelli AF (2004) Niveles de arsenic y flúor en agua de bebida animal en establecimientos de producción lechera (Pcia. De Córdoba, Argentina). In Vet 2004 6: 51–59.

44. Flueck WT, Smith-Flueck JA (2013) Severe dental fluorosis in juvenile deer linked to a recent volcanic eruption in patagonia. J Wild Dis 49: 355–366.

45. Sugimoto N, Matsuzaki K, Ishibashi H, Tanaka M, Sawaki T, Fujita Y, et al. (2013) Upregulation of aquaporin expression in the salivary glands of heat-acclimated rats. Sci Rep 3: 1763. pmid:23942196

46. Bradford MM (1976) A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 72: 248–254. pmid:942051

47. Preston GM, Carroll TP, Guggino WB, Agre P (1992) Appearance of water channel in Xenopus oocytes expressing red cell CHIP28 protein. Science 256: 385–387. pmid:1373524

48. Baum BJ, Alevizos I, Zheng C, Cotrim AP, Liu S, McCullagh L, et al. (2012) Early responses to adenoviral-mediated transfer of the aquaporin-1 cDNA for radiation-induced salivary hypofunction. Proc Natl Acad SCI U.S.A. 109: 19403–19407. pmid:23129637

49. King LS, Agre P (1996) Pathophysiology of the aquaporin water channels. Annu Rev Physiol 58: 619–648. pmid:8815812

50. Hamilton IR (1977) Effects of fluoride on enzymatic regulation of bacterial carbohydrate metabolism. In: Cariostatic mechanisms of fluorides, Caries Res 11(Suppl.): 321–327.

51. Menezes-Silva R, Khaliq S, Deeley K, Letra A, Vieira AR (2012) Genetic susceptibility to periapical disease: conditional on MMP2 and MMP3 genes to the development of periapical and healing response. J Endod 38: 604–607. pmid:22515887

52. Kato MT, Bolanho A, Zarella BL, Salo T, Tjäderhane L, Buzalaf MA (2014) Sodium fluoride inhibits MMP-2 and MMP-9. J Dent Res 93: 74–77. pmid:24196489