Mice lacking IκB-ζ, a protein encoded by the Nfkbiz gene, spontaneously develop a Sjögren’s syndrome-like disease involving the lachrymal glands, but no salivary gland symptoms have been reported. We found that Nfkbiz−/− female mice presented a significantly reduced salivary flow rate, focal lymphocytic sialadenitis (FLS), and a dysbiotic oral microbiota at week 24. To dissect the contributions of genetic and environmental factors to the salivary gland phenotype, Nfkbiz+/+ and Nfkbiz−/− mice were cohoused after weaning and evaluated at week 20. Cohousing alleviated the salivary gland phenotype of Nfkbiz−/− mice but did not induce any disease phenotype in Nfkbiz+/+ mice. Additionally, the oral microbiota in the cohoused mice was synchronized toward that in Nfkbiz+/+ mice. In conclusion, IκB-ζ-deficient mice developed hyposalivation and FLS, in which a dysbiotic oral microbiota played an important role. This finding suggests that the dysbiotic oral microbiota could be a therapeutic target.
Sjögren’s syndrome (SS) is a heterogeneous autoimmune disease characterized by dryness of the mouth and eyes1. Together with reduced saliva/tear secretion, lymphocytic infiltration of the salivary or lacrimal glands and the presence of autoantibodies, particularly those against the SS antigen A/Ro, are important diagnostic criteria for SS2. The etiopathogenetic mechanisms of SS remain poorly understood, but it is believed that both genetic and environmental factors are involved in the development of the disease3.
Animal models are useful for studying the pathogenesis of SS. Among the several animal models for SS, mice lacking IκB-ζ, a protein encoded by the Nfkbiz gene, spontaneously develop an SS-like autoimmune disease from a single genetic defect. The phenotype of SS-like inflammation in Nfkbiz−/− mice includes lymphocyte-infiltrated dacryoadenitis, reduced tear secretion, and autoantibodies against the SS antigens A/Ro and B/La4. SS-like inflammation depends on IκB-ζ deficiency in epithelial cells but not IκB-ζ deficiency in lymphocytes4. IκB-ζ is an inducible regulator of nuclear factor-κB (NF-κB), which positively or negatively modulates the transcriptional activity of NF-κB in a gene-specific manner5. IκB-ζ-deficient lachrymal gland epithelial cells present increased apoptosis4, a phenomenon that is also observed in the labial salivary glands of SS patients6,7.
Although a previous study reported no symptoms involving the salivary glands of Nfkbiz−/− mice4, we noticed reduced salivary secretion in our colony. It is well known that animal microbiomes significantly affect the immune function and disease phenotype of laboratory animals8. Dysbiosis of the oral microbiota in SS patients has been reported9,10,11,12. However, van den Meulen et al. reported that the changes in the oral microbiota are attributed more to the reduced salivary secretion than to SS11, and if the dysbiotic oral microbiota plays any role in the pathogenesis of SS is not clear. Mice have quite simple oral bacterial communities13, which is a merit for studying the role of the oral microbiome in the pathogenesis of SS. The fact that the oral microbiota can be examined before the onset of symptoms is another benefit of such animal models. IκB-ζ is induced by various microbial products, and subsequent regulation of the transcriptional activity of NF-κB may play a role in the maintenance of a homeostatic balance between the host and microbiome14. Indeed, dysbiosis of the skin microbiome in Nfkbiz−/− mice has been reported previously in association with dermatitis15. This study aimed to characterize the salivary gland phenotype of IκB-ζ-deficient mice and to investigate its association with the oral microbiota. Cohousing is a widely accepted method to synchronize microbial communities16. In the present study, the contributions of genetic and environmental factors to the oral microbiota and salivary gland phenotype were investigated by housing Nfkbiz+/+ and Nfkbiz−/− mice with mice of the same or different genotypes.
Distinct salivary gland phenotype and oral dysbiosis in Nfkbiz−/− mice
Because an effect of gender on exocrine gland inflammation in mouse models of SS has been reported17, only female mice were included in the study. NOD mice, the most commonly used model for SS, develop focal lymphocytic sialadenitis (FLS) before 17 weeks of age and exhibit a decrease in the salivary flow rate between 17 weeks and 24 weeks of age18. Therefore, the salivary gland phenotype of Nfkbiz−/− mice was examined at 24 weeks of age. In contrast to a previous report4, significantly reduced salivary secretion was observed in 24-week-old Nfkbiz−/− mice (Fig. 1a). A small degree of FLS was found in both genotypes. Although there was no significant difference between the groups, three of five Nfkbiz-/- mice developed FLS with a score ≥ 1, meeting the diagnostic criterion for SS (Fig. 1b, c). Immunofluorescent staining confirmed that infiltrating lymphocytes were mostly T cells in small foci but predominantly B cells in large foci (Fig. 1d), as reported in SS19. We previously reported infection of ductal cells and the area of FLS with bacteria in the labial salivary glands obtained from SS patients20. In situ hybridization using a 16S rRNA-targeted probe revealed the presence of infected ducts not only near the area of FLS but also at the area without infiltration in both genotypes (Fig. 1e), the degree of which varied depending on the area and mouse.
When the structure and composition of the oral microbiota were analyzed by high-throughput sequencing of the 16S rRNA gene, the estimated species richness using the Chao1 index did not differ between genotypes. However, the species evenness determined using the Simpson index and the Shannon index, which accounts for both richness and evenness, were significantly increased in Nfkbiz−/− mice compared with those in Nfkbiz+/+ mice (Fig. 2a). A principal coordinates analysis (PCoA) plot obtained based on the generalized UniFrac distances revealed segregation of oral bacterial communities according to the Nfkbiz genotype, and the existence of a significant intergroup difference was confirmed by the permutational multivariate analysis of variance (PERMANOVA) test (R2 = 0.488, P = 0.008, Fig. 2b).
The composition of the oral microbiota also showed differences according to the Nfkbiz genotype. At the phylum level, compared with Nfkbiz+/+ mice, Nfkbiz−/− mice showed increases in the relative abundances of Actinobacteria and Proteobacteria at the expense of Firmicutes (Fig. 2c). At the species level, the oral bacterial communities of Nfkbiz+/+ mice were dominated by Streptococcus danieliae (Supplementary Fig. 1), which accounted for up to 97% of the total bacteria. The dominance of S. danieliae significantly decreased; instead, the relative abundances of Staphylococcus sciuri, Escherichia coli, Enterococcus gallinarum, and Corynebacterium mastitidis increased in Nfkbiz−/− mice (Fig. 2d).
Collectively, the results showed that Nfkbiz−/− mice presented the salivary gland phenotype of SS and an altered oral microbiota at 24 weeks of age.
Unidirectional effect of cohousing on the salivary gland phenotype
To dissect the contributions of genetic and environmental factors to the oral microbiota and salivary gland phenotype, the Nfkbiz+/+ and Nfkbiz−/− mice were randomly divided into two groups (n = 6 per group) upon weaning at week 3, housed with mice of the same or different genotype, and evaluated at week 20 (Supplementary Table 1). The salivary flow rate was not different according to the genotype at week 3 but was significantly reduced in Nfkbiz−/− mice at week 20 when the mice from different housing conditions were combined. When the mice were divided into four groups by genotype and housing condition, there was no significant intergroup difference (P = 0.206). However, while the median salivary flow rate of the Nfkbiz+/+ mice was not changed by cohousing, that of the Nfkbiz−/− mice was slightly increased by cohousing (Fig. 3a, b). Similarly, cohousing affected the FLS score of Nfkbiz−/− mice but not that of Nfkbiz+/+ mice: while three of the noncohoused Nfkbiz−/− mice developed FLS with a score ≥ 1 at week 20, none did so among the other three groups, resulting in a significant difference in its incidence (χ2 = 6.371, P = 0.04 by Fisher’s exact test, Fig. 3c). The FLS area presented a similar pattern as the FLS score (Fig. 3d). Interestingly, the disease phenotype that appeared in the periocular and perioral areas4 was not changed by cohousing (Fig. 3e). Collectively, the results showed that the salivary gland phenotype of Nfkbiz−/− mice was alleviated by cohousing with Nfkbiz+/+ mice, but this cohousing did not induce any phenotype in Nfkbiz+/+ mice.
Asymmetrical effect of cohousing on the oral microbiota
To investigate the effect of cohousing on the oral microbiota, bacterial communities collected at weeks 3 and 20 were analyzed. From the unidirectional effect of cohousing on the salivary gland phenotype, we expected that cohousing would affect the oral microbiota of Nfkbiz−/− mice but not that of Nfkbiz+/+ mice.
At week 3, there were no intergroup differences in any alpha diversity index and no clear segregation of the communities among groups in the PCoA plot obtained based on the generalized UniFrac distances (R2 = 0.013, P = 0.894, Fig. 4a–d). Although mice were randomly assigned to housing conditions, the intergroup distance analysis revealed that the communities of noncohoused Nfkbiz+/+ and Nfkbiz−/− mice were more similar to each other than to those of the cohoused mice at week 3 (Fig. 4e). At week 20, the Simpson index was significantly reduced in Nfkbiz−/− mice, as observed in 24-week-old mice. However, the increase in the Shannon index in Nfkbiz−/− mice observed in 24-week-old mice was not recapitulated at week 20 (Fig. 4f–h). In the PCoA plot, the clear segregation of the communities of noncohoused Nfkbiz−/− mice from those of noncohoused Nfkbiz+/+ mice was recapitulated. While the communities of cohoused Nfkbiz+/+ mice were clustered together with those of noncohoused Nfkbiz+/+ mice, the communities of cohoused Nfkbiz−/− mice clustered away from those of the noncohoused Nfkbiz−/− mice toward those of the cohoused Nfkbiz+/+ mice (R2 = 0.081, P < 0.05, Fig. 4i). The intergroup distances confirmed that the communities of the Nfkbiz−/− mice became similar to those of the noncohoused and cohoused Nfkbiz+/+ mice after cohousing but different from those of Nfkbiz+/+ mice in the non-cohoused group (Fig. 4j).
The composition of the oral microbiota at the phylum level also clearly revealed the asymmetrical effect of cohousing on the oral microbiota. At week 3, S. danieliae was the most abundant species in 23 of 24 mice. Proteobacteria was significantly enriched at the expense of Firmicutes in the noncohoused Nfkbiz−/− mice from week 3 to week 20. Such Nfkbiz−/− genotype-specific changes were not observed in the Nfkbiz−/− mice cohoused with Nfkbiz+/+ mice. The enrichment of Bacteroidetes and the depletion of Actinobacteria over the cohousing period observed in the Nfkbiz+/+ and Nfkbiz−/− mice, respectively, reflected the characteristics of the Nfkbiz+/+ communities (Fig. 5a).
To analyze associations between the salivary gland phenotype and oral microbiota, we chose only FLS because there was no adequate criterion for oral dryness based on the salivary flow rate induced with pilocarpine. A linear discriminant analysis effect size (LEfSe) analysis revealed several taxa associated with FLS score ≥ 1, including C. mastitidis and E. coli (Fig. 5b). The relative abundance of C. mastitidis was already higher in Nfkbiz−/− mice than in Nfkbiz+/+ mice at week 3 (median 5.3 vs. 1.8, P = 0.002). In the noncohoused Nfkbiz-/- mice, the high relative abundance of C. mastitidis was maintained, and E. coli was enriched at week 20. In the cohoused Nfkbiz−/− mice, however, the relative abundances of both C. mastitidis and E. coli were synchronized toward those in Nfkbiz+/+ mice (Fig. 5c).
Collectively, the results showed the following findings. First, the oral microbiota of non-cohoused Nfkbiz−/− mice was not different from that of Nfkbiz+/+ mice at week 3 but developed dysbiosis, which we specifically define as the loss of S. danieliae-predominated structure and the enrichment of FLS-associated taxa, at week 20. Second, cohousing of Nfkbiz+/+ and Nfkbiz−/− mice synchronized their oral microbiota toward that of Nfkbiz+/+ mice.
Increased J chain expression and salivary IgA (sIgA) secretion in Nfkbiz−/− mice
We thought that the dysbiosis of the oral microbiota observed in Nfkbiz−/− mice may be attributed to dysregulated production of antimicrobial peptides or proteins by the salivary glands. Microarray analysis of the salivary glands obtained from the 20-week-old noncohoused Nfkbiz+/+ and Nfkbiz−/− mice (n = 2 per group) revealed 212 differentially expressed genes (DEGs): 107 upregulated and 105 downregulated in Nfkbiz−/− mice compared with Nfkbiz+/+ mice. The DEGs included a number of genes involved in immune responses, apoptosis, and autophagy. Only one gene, Jchain, which encodes the joining chain for secretory IgA and IgM, was associated with antimicrobial function and presented the highest fold change (Fig. 6a and Supplementary Table 2). Although none of the DEGs passed the Benjamini–Hochberg test for the correction of multiple comparisons, quantitative reverse transcription polymerase chain reaction (qRT-PCR) confirmed the significantly higher levels of Jchain expression in Nfkbiz−/− mice than in Nfkbiz+/+ mice, and the levels were barely affected by cohousing (Fig. 6b). To further clarify whether the increased Jchain expression was caused by the dysbiotic oral microbiota, the expression of Jchain was examined in the salivary glands obtained from 3-week-old Nfkbiz+/+ and Nfkbiz−/− mice that were additionally sacrificed. The levels of Jchain expression were substantially lower at week 3 than at week 20, but increased Jchain expression in Nfkbiz−/− mice started to appear at week 3 (Fig. 6c). Since Jchain expression indicates the presence of plasma cells, the levels of sIgA, the major Ig isotype in saliva, were determined by ELISA. At week 3, the levels of sIgA were very low in all mice, with no intergroup difference (Fig. 6d). At week 20, the levels of sIgA were much higher in Nfkbiz−/− mice than in Nfkbiz+/+ mice, which was significant only in the noncohoused group, suggesting the presence of a cohousing effect (Fig. 6e). Correlation analyses between the levels of sIgA and the structure and composition of the oral microbiota revealed a moderate negative correlation with the Simpson index and negative or positive correlations with several species, including S. danieliae (Table 1).
Because the bacterial infection of the salivary glands observed by in situ hybridization in the 24-week-old mice was difficult to quantify, the degree of bacterial infection was examined by qRT-PCR. Although the median copy numbers of bacterial 16S rRNA was slightly higher in Nfkbiz-/- mice than in Nfkbiz+/+ mice, the difference was not significant (P = 0.171 by Mann–Whitney test), and the levels were not affected by cohousing (Fig. 6f).
This study presented the role of a dysbiotic oral microbiota in the development of a reduced salivary flow rate and FLS in Nfkbiz−/− mice, a model for SS: while the noncohoused Nfkbiz−/− mice developed dysbiosis of the oral microbiota and a salivary gland phenotype, synchronization of the oral microbiota toward that of Nfkbiz+/+ mice through cohousing ameliorated the phenotype. A couple of reasons can be proposed for the lack of obvious salivary gland symptoms found in a previous study4. Although details regarding the housing conditions of the mice were not described, if Nfkbiz−/− mice and their littermate controls used in the previous study were housed together, the Nfkbiz−/− mice would not have developed the symptoms. In addition, the previous study used both male and female mice, but we found in our preliminary work that male Nfkbiz−/− mice do not develop severe FLS. Similarly, in NOD mice, males develop far worse dacryoadenitis, whereas females develop far more severe FLS17.
This study provided strong evidence for the control of the oral microbiota by host genetics. The wild-type mice had very simple oral bacterial communities dominated by S. danieliae that comprised up to 97% of the total bacteria. This observation is consistent with our previous report showing that relatively simple murine oral bacterial communities of C57BL/6 mice are dominated by a tentative Streptococcus species represented by the GenBank accession no. EU45397313. The 16S rRNA sequence of EU453973 is identical to that of S. danieliae, which was later isolated from the mouse cecum21. The predominance of S. danieliae substantially decreased in the noncohoused Nfkbiz−/− mice, increasing the species evenness. Although some of the 24-week-old mice were not littermates, oral bacterial communities were shown to cluster depending on the Nfkbiz genotype. Repeated examination at weeks 3 and 20 revealed that the oral bacterial communities of Nfkbiz+/+ and Nfkbiz−/− mice were segregated away from each other over time. All these findings suggest the strong influence of IκB-ζ on the oral microbiota. Most taxa that were enriched in Nfkbiz−/− mice were also found in Nfkbiz+/+ mice at very low abundances. This result suggests that the lack of IκB-ζ leads to the expansion of indigenous species rather than colonization by new species. The observation that there was no increase in species richness but an increase in species evenness also supports this contention.
Several potential mechanisms for the changes in the oral microbiota caused by IκB-ζ deficiency can be suggested. Increased apoptosis in IκB-ζ-deficient epithelial cells may have changed the colonization niche in the oral cavity. Changes in the levels of NF-κB-driven immune mediators, such as cytokines and antimicrobial peptides, in the oral mucosa may have differentially affected the fitness of species. Interestingly, the levels of sIgA were significantly higher in the noncohoused Nfkbiz−/− mice than in Nfkbiz+/+ mice. Secretory IgA plays a critical role in shaping the microbiota in the gut and oral cavity: it can prevent, alter, or promote colonization of mucosal tissues22,23,24. Alternatively, the ability to induce sIgA could differ depending on taxa, as periodontitis patients have increased levels of sIgA22. Nfkbiz−/− mice had a propensity to express increased levels of Jchain in the salivary glands before the onset of dysbiosis, suggesting the possibility that increased sIgA drives dysbiosis. On the other hand, the lack of a significant increase in sIgA levels in the cohoused Nfkbiz−/− mice suggests the possibility that the dysbiotic microbiota contributed to the increased sIgA levels. The role of sIgA in the establishment and maintenance of the oral microbiota awaits further clarification. Environmental factors can also be considered. Since oral dryness has a tremendous effect on the composition of the oral microbiota11, hyposalivation could have contributed to the altered oral microbiota of the noncohoused Nfkbiz−/− mice. In addition, severe inflammation around the perioral skins hindered complete closure of the mouth in Nfkbiz−/− mice, which could have affected the environment of the oral cavity.
Importantly, the taxa enriched in the noncohoused Nfkbiz−/− mice were associated with FLS scores ≥ 1. Among the FLS-associated taxa, C. mastitidis was first isolated from the milk of sheep with subclinical mastitis and was detected in the preputial gland abscesses of mice25,26. It has also been reported as an ocular commensal in mice, protecting them from corneal infection with pathogens by inducing an IL-17 response in mucosal γδ T cells27. Nfkbiz−/− mice have a defect in Th17 development and increased apoptosis in epithelial cells4,28. Under such conditions, C. mastitidis may contribute to inflammation in the salivary glands. E. coli is a common gut commensal of humans and mice, although there are diverse pathogenic strains that can cause diseases in the intestinal or urinary tracts29. E. coli has also been detected in the oral cavity of humans and mice, and oral strains have been recently isolated from the biopsy tissues of oral lichen planus patients30,31. E. gallinarum, which was enriched in Nfkbiz−/− mice, is known to translocate from the gut to the liver and induce autoantibodies in (NZW × BXSB)F1 mice, an autoimmune-prone strain. Interestingly, E. gallinarum could not translocate in C57BL/6 mice under pathogen-free conditions but did so under monocolonized conditions32. In other words, the commensal microbiota can not only induce but also block autoimmune reactions33,34. The S. danieliae-predominated oral microbiota, which was lost in the noncohoused Nfkbiz−/− mice, may be specialized in a tolerant coexistence with the host. Induction of the antigen-presenting cell-like phenotype in human submandibular gland tumor cells by SS-associated bacterial species and infection of ductal cells with bacteria in the labial salivary glands obtained from SS patients have been presented as potential mechanisms for driving FLS20. Bacterial infection of the salivary glands was observed in both Nfkbiz+/+ and Nfkbiz−/− mice. The ability of bacteria to induce cytokines and chemokines from the host cells varies depending on the species20,35, which may be also accounted for. Mitigation of FLS in the cohoused Nfkbiz−/− mice that harbored the Nfkbiz+/+-type oral microbiota supports the role of the dysbiotic oral microbiota in the development of FLS. Further investigations in germ-free and gnotobiotic conditions would answer which arm between the aggressive and protective one has more role in the salivary gland phenotype of Nfkbiz−/− mice.
The oral bacteria would have been transmitted between the cohoused mice during chewing of the beddings and foods. Interestingly, cohousing asymmetrically affected the oral microbiota of Nfkbiz+/+ and Nfkbiz−/− mice. The analyses of intergroup distances revealed that the microbiota of Nfkbiz−/− mice became similar to that of Nfkbiz+/+ mice after cohousing but not vice versa. Asymmetrical microbial transmission between two mouse populations has been reported in a study using C57BL/6 mice from two different vendors16. What determines horizontal transmission and the maintenance of a beneficial microbiota is poorly understood but is an important question. In the current study, cohousing of young mice with similar oral microbiotas prevented dysbiosis. Whether the dysbiotic oral microbiota in adult mice can be corrected by cohousing remains to be determined.
Since the cohousing study had to be carried out within the limited animal space and time, the predetermined sample size could not be achieved, and the salivary gland phenotype was evaluated at week 20 instead of week 24. As reported in NOD mice18, reduced salivary secretion may follow FLS development. If mice were evaluated at week 24 with an increased sample size, the salivary gland phenotype, particularly the decrease in salivary flow rate, could have been more robust. Another limitation of the current study is the lack of information on the gut microbiota. Gut microbial dysbiosis has also been reported in SS patients particularly in association with dry eyes12,36. There is a possibility that the gut microbiota contributed to the development and mitigation of FLS in the noncohoused and cohoused Nfkbiz−/− mice, respectively, through regulation of the common mucosal immune system.
In conclusion, IκB-ζ-deficient mice developed hyposalivation and FLS, in which the dysbiotic oral microbiota played an important role. This finding suggests that the dysbiotic oral microbiota can be a therapeutic target.
Mouse breeding and sample collection
The experimental protocols and animal handling procedures were approved by the Seoul National University Animal Care and Use Committee (#SNU-180914-8) and conducted in accordance with the Laboratory Animals Act 9025 of the Republic of Korea. Nfkbiz+/− mice in the 129/Ola × C57BL/6 background were provided by Professor Shizuo Akira (IFReC, Osaka University, Japan)28. All mice were maintained under specific pathogen-free conditions at 18–23 °C with 40–60% humidity and 12 light/12 dark cycle in the Laboratory Animal Facility at the School of Dentistry, Seoul National University. Mice were bred and genotyped at two weeks of age by PCR with a common forward primer 5′-GTTTAAGGTGGCGGCTTCTGCTCTTTG-3′ and the reverse primers 5′- GCTCATCCAGCTAACCTGAACAGTGTT-3′ for the wild-type allele and 5′- CTAAAGCGCATGCTCCAGACTGCCTTG-3′ for the knock-out allele, respectively.
The sample size (n = 5 per group) for the initial study using 24-week-old mice was chosen based on a previous study that reported the lachrymal gland phenotype4. Using the intergroup distance of the oral microbiota and the incidence of FLS score ≥ 1 obtained in an initial study, the sample sizes for the cohousing study were determined to be n = 4 per group to achieve a significant intergroup difference in the oral microbiota based on the simulated PERMANOVA power estimation37 and n = 8 per group to achieve a significant difference in the incidence of FLS score ≥ 1 at α = 0.05 and 80% power.
In the initial study, a mixture of littermates and non-littermates of Nfkbiz+/+ and Nfkbiz−/− mice were housed in separate cages after weaning at 3 weeks of age until sacrifice at week 24. In the cohousing study, since only female mice were used, it was impossible to use littermates for all four groups. Therefore, six breeding sets using mice from the same litter were prepared, and Nfkbiz+/+ and Nfkbiz−/− mice born within a 4-day interval were cohoused after weaning. The mice born within an interval of more than 4 days were housed separately by genotype. The initial sample size for the cohousing study was set as n = 8 per group. However, five mice were lost during saliva collection or housing due to mishandling. Two mice were not born within the study period. Finally, all data sets were available only for n = 6 per group, and one non-cohoused Nfkbiz−/− mouse that was born last was excluded from the analysis.
In the initial study, saliva, oral bacterial samples, and salivary glands were collected at week 24. In the cohousing study, saliva and oral bacterial samples were collected on the day of weaning (week 3) and at week 20. The salivary glands, including the parotid, sublingual, and submandibular glands, were carefully harvested: a half piece was used for histological analysis, and the other half was subjected to RNA extraction using the easy-BLUETM Total RNA Extraction Kit (iNtRON Biotechnology, Seongnam, Gyeonggi, Korea).
Mice anesthetized with isoflurane were intraperitoneally injected with 10 μg/g body weight pilocarpine to stimulate saliva production. Saliva was collected for 10 min after pilocarpine injection and weighed.
Histological analysis of salivary glands
The salivary glands were fixed with 10% neutral formalin solution (Sigma, St Louis, MO, US) and embedded in paraffin. Sections (4–5 μm) were cut and stained with hematoxylin and eosin (H&E). The FLS score was calculated by counting the number of foci with 50 or more periductal or perivascular mononuclear cells and measuring the sizes of tissue sections and expressed as the number of foci per 4 mm2. The area of FLS was also measured.
A piece of the salivary glands obtained from 24-week-old mice was embedded in OCT compound (Sakura Finetek, Torrance, CA, USA) and frozen in liquid nitrogen. Sections of 10-μm thickness were blocked with 10% horse serum in PBS. The sections were stained with mouse antihuman CD3-ζ mAb clone 6B10.2 (catalog No. sc-1239, 1:75 dilution, Santa Cruz Biotechnology Inc, Dallas, TX, USA) and PE-conjugated rat antimouse B220 clone RA3-6B2 (catalog No. 553090, 1:75 dilution, BD Bioscience, San Jose, CA, USA) followed by goat antimouse IgG (H + L) Alexa 488 catalog No. A28175 (1:1000 dilution, Thermo Scientific, Waltham, MA, USA). Nuclei were stained with DAPI. Immunofluorescence images were captured under a confocal microscope (Leica, Wetzlar, Germany).
In situ hybridization
A universal probe was prepared by PCR amplification of a 70-bp DNA fragment (5′-CAGGTGCTGCATGGCTGTCGTCAGCTCGTGTTGTGAAATGTTGGGTTAAGTCCCGCAACGAGCGCAACCC-3′), which was synthesized as an oligonucleotide, with the forward (5′-CAG GTR CTG CMT GGY-3′) and reverse (5′-AGG GTT GCG CTC GTT-3′) primers and subsequent labeling with digoxigenin. The sections of the salivary glands were sequentially pretreated with 0.1 N HCl, 1 μg/ml proteinase K, and 0.1 M triethanolamine-HCl and were then hybridized with a digoxigenin-labeled universal probe targeting the 16S rRNA gene. As a negative control, hybridization was performed with the labeled probe with a 10-fold excess amount of nonlabeled probe. The bound probe was detected with alkaline phosphatase-conjugated anti-digoxigenin antibody (Roche, Mannheim, Germany) and visualized with a nitroblue tetrazolium/5-bromo-4-chloro-3-indolyl phosphate solution. The sections were counter stained with methyl green.
16S rRNA gene sequencing and microbiota analysis
The oral microbiota was collected from the mouse oral cavity by swabbing the surface of the oral mucosa with cotton swabs. Genomic DNA was isolated using a Power Soil DNA Isolation Kit (MO BIO Laboratories, Carlsbad, CA, USA). Further analysis was performed at ChunLab, Inc. (Seoul, Korea) according to their protocols. Briefly, the concentration of DNA was measured, and the quality of DNA was determined by agarose gel electrophoresis. Bacterial 16S rRNA gene sequences spanning the V3–V4 variable region were amplified using the primer pair 341F_805R. The quality of amplification was confirmed by agarose gel electrophoresis, and the amplicons were subjected to paired-end sequencing using a MiSeq system (Illumina, San Diego, CA, USA). After filtering the low-quality reads and chimeras, an average of approximately 38,017–75,719 reads per group was obtained, which covered ≥99.9% of libraries (Supplementary Table 3). All bioinformatics analyses were performed using software provided in the integrated database EzBioCloud (http://www.ezbiocloud.net/), which is a taxonomically united database of 16S rRNA gene sequences and whole-genome assemblies38. The similarity cutoff value for assigning a sequence to the same phylotype was equal to or greater than 97%. When a sequence showed an identity ≥99% with more than one species, it was presented as a taxonomic group represented by the name of species that was identified in the earliest year. However, when all sequence reads in all samples assigned to a specific group showed a top hit with only one species among the species grouped together, the name of the species with top hit was used instead of the group name. The overall phylogenetic distance between communities was estimated using the generalized UniFrac distances and was visualized using PCoA.
Transcriptome analysis of the salivary glands
RNA purity and integrity were evaluated by an ND-1000 spectrophotometer (NanoDrop, Wilmington, USA) and an Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, USA), respectively. Total RNA samples obtained from 20-week-old noncohoused Nfkbiz+/+ and Nfkbiz−/− mice (n = 2 per group) were subjected to cDNA synthesis and labeling using a GeneChip™ WT PLUS Reagent Kit (ThermoFisher Scientific) and then to transcriptome analysis using Affymetrix whole-transcript expression arrays (ThermoFisher Scientific) at Macrogen Inc. (Seoul, Korea). The array process was executed according to the manufacturer’s protocol. The data were summarized and normalized with the robust multiaverage method implemented in Affymetrix® Power Tools. After exporting the results with gene-level robust multiaverage analysis, DEG analysis was performed.
Total RNA (1 μg) from the salivary gland was subjected to reverse transcription with oligo dT and reverse transcriptase (Promega, Madison, WI, USA) in a 30-μl reaction mix at 42°C for 1 h. PCR was performed in a 20-μl reaction mix containing 2 μl of template cDNA, SYBR Premix Ex Taq, ROX Reference Dye (Takara Bio, Otsu, Japan), and each primer (0.2 μM). Amplification was performed in a fluorescence thermocycler (Applied Biosystems, Foster City, CA, USA) under the following conditions: an initial denaturation at 95 °C for 5 min, followed by 40 cycles of denaturation at 95 °C for 10 s, annealing at 60 °C for 40 s, and elongation at 72 °C for 40 s. The specificity of the PCR product was verified by melting curve analysis and examination on a 3% agarose gel. The housekeeping gene glyceraldehyde-3-phosphate dehydrogenase (Gapdh) was amplified in parallel with Jchain. The relative copy numbers of Jchain compared to those of Gapdh were calculated using 2−∆Ct. The copy numbers of the 16S rRNA genes of bacteria were estimated using a standard curve that was generated using the genomic DNA of Porphyromonas gingivalis ATCC 33277 and expressed as the numbers per 1 μg RNA. The primer sequences used were as follows: 5′- CTTGTAACAGGTGACGACGAAG-3′ and 5′-CCACTTCCACAGGATCGCAT-3′ for Jchain, 5′-GTTGTCTCCTGCGACTTCA-3′ and 5′-GGTGGTCCAGGGTTTCTTA-3′ for Gapdh, and 5′-AGTCACTGACGAGTTTGATCMTGGCTCAG-3′ and 5′-CAGTGACTACWTTACCGCGGCTGCTGG-3′ for the 16S rRNA gene. PCR was performed in triplicate for each RNA sample.
The concentrations of IgA in the saliva samples were determined in duplicate using a Mouse IgA ELISA Kit (MyBioSource, San Diego, CA, USA) according to the manufacturer’s protocol. Dilutions of 1:10 and 1:20 were used for the samples obtained at week 3 and week 20, respectively. To correct the influence of reduced salivary flow rate on the concentrations of sIgA, data were expressed as total amounts of sIgA calculated by multiplying the concentrations of sIgA (ng/ml) and the weight (g) of saliva collected.
Most data sets obtained from mice were not normally distributed; thus, nonparametric approaches were used. Differences between two groups were determined using the Mann–Whitney U-test. Differences between weeks 3 and 20 were determined using the Wilcoxon signed rank test. Differences among four groups were determined using the Kruskal–Wallis test, followed by the Bonferroni post hoc method. Differences between two groups in microarray data were determined using independent t-tests. To determine the correlation between two variables, Spearman’s rank correlation test was used. The taxa associated with FLS were determined using LEfSe provided online (https://huttenhower.sph.harvard.edu/galaxy/). The false discovery rate was controlled by adjusting the P value using the Benjamini–Hochberg algorithm by using R 3.3.2 (www.r-project.org). PERMANOVA was performed with the Adonis function from the vegan package in R. All other statistical analyses were performed using SPSS software version 23.0 (IBM, Chicago, IL, USA). All tests were two-sided, and statistical significance was set at P < 0.05.
Further information on experimental design is available in the Nature Research Reporting Summary linked to this paper.
The sequence data of the oral microbiota can be accessed at the NCBI Sequence Read Archive under the accession number PRJNA560734). The transcriptome data of the salivary glands can be accessed at the NCBI Gene Expression Omnibus under the accession number GSE151163. The processed data of the oral microbiota and transcriptome analyses are available from the corresponding author upon request.
Custom software that has not been published was not used in this study.
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This research was supported by grants from the National Research Foundation of Korea (2018R1A5A2024418, and 2020R1A2C2007038).
The authors declare no competing interests.
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Lee, J., Alam, J., Choi, E. et al. Association of a dysbiotic oral microbiota with the development of focal lymphocytic sialadenitis in IκB-ζ-deficient mice. npj Biofilms Microbiomes 6, 49 (2020). https://doi.org/10.1038/s41522-020-00158-4