Literature DB >> 32010538

Isolation of food-derived bacteria inducing interleukin-22 in B cells.

Toshihiko Kumazawa1,2, Kunihiko Kotake1,2, Atsuhisa Nishimura1, Noriyuki Asai1, Tsukasa Ugajin3, Hiroo Yokozeki3, Takahiro Adachi2.   

Abstract

Recently, we found a novel function of the lactic acid bacterium Tetragenococcus halophilus derived from miso, a fermented soy paste, that induces interleukin (IL)-22 production in B cells preferentially. IL-22 plays a critical role in barrier functions in the gut and skin. We further screened other bacteria species, namely, Enterococcus, Lactobacillus, Lactococcus, Leuconostoc, Weissella, Pediococcus, and Bacillus, in addition to Tetragenococcus and found that some of them possessed robust IL-22-inducible function in B cells in vitro. This process resulted in the augmented expression of activation markers CD86 and CD69 on B and T cells, respectively. However, these observations were not correlated with IL-22 production. We isolated Bacillus coagulans sc-09 from miso and determined it to be the best strain to induce robust IL-22 production in B cells. Furthermore, feeding B. coagulans sc-09 to mice augmented the barrier function of the skin regardless of gut microbiota. ©2020 BMFH Press.

Entities:  

Keywords:  B cell; IL-22; bacteria; food; miso; skin barrier

Year:  2019        PMID: 32010538      PMCID: PMC6971416          DOI: 10.12938/bmfh.19-012

Source DB:  PubMed          Journal:  Biosci Microbiota Food Health        ISSN: 2186-3342


INTRODUCTION

Miso and soy sauce, which are traditional fermented foods in Japan, contain various microorganisms. In addition to a fungus (Aspergillus oryzae) and yeast, Tetragenococcus halophilus, a salt-tolerant lactic acid bacterium; other lactic acid bacteria; and Bacillus strains contribute to the fermentation processes of miso and soy sauce. Recently, the beneficial effects of these microorganisms and fermented foods on human health have been reported [1,2,3,4]. Recently, we isolated a strain of lactic acid bacteria, T. halophilus No. 1, which has immune regulatory functions, from miso, a fermented soy paste [5]. Administration of this strain augmented serum IgA and immune responses in mice. Notably, T. halophilus No. 1 induced interleukin (IL)-22 cytokine production in B cells. Thus, for the first time, we found that a subpopulation of B cells produce IL-22. Furthermore, T. halophilus induced production of interferon (IFN)-γ in B cells. We termed IL-22-producing and IFN-γ–producing B cell subpopulations as Bi22 and Big cells, respectively. IL-22 is a member of the IL-10 family [6,7,8]. It was originally thought to be produced from T helper (Th)1 cells among CD4 T cells, and then subsequently it was found to be produced from Th17 and Th22 cells. Furthermore, γδT cells, NKT cells, and innate lymphoid cells are also known to produce IL-22. IL-22 has been identified in various tissues, such as the intestines, lung, liver, kidney, thymus, pancreas, and skin. It contributes to tissue regeneration and regulates host defense at barrier surfaces, such as the gut and skin. IL-22 is also involved in inflammatory tissue pathology. However, a comprehensive understanding of IL-22 remains elusive. As IL-22 is a multifunctional cytokine, especially with respect to host defense functions, probiotics that induce IL-22 may be valuable to human health. Therefore, in this study, we investigated food-derived microorganisms that induce IL-22 production, identified IL-22-inducing bacteria, and assessed their in vivo functions.

MATERIALS AND METHODS

Ethics statement

C57BL/6 mice were maintained in our animal facility under specific pathogen free (SPF) conditions in accordance with guidelines of the Institutional Animal Care and Use Committee of Tokyo Medical and Dental University. Germ-free (GF) mice (C57BL/6NJcl) were obtained from CLEA Japan, Inc. All experimental procedures on animals were approved by the Institutional Animal Care and Use Committee of Tokyo Medical and Dental University (No. A2018-C3), and all experiments were carried out in accordance with the approved guidelines.

Bacteria

Bacteria were isolated from Japanese fermented foods, including miso, soy sauce, and amazake. Lactic acid bacteria were selected using MRS agar (Oxoid Ltd.) with CaCO3. Salt-tolerant lactic acid bacteria, such as T. halophilus, were separated in 10SG10N agar (10% soy sauce, 10% NaCl, 1% glucose, 1% yeast extract, 0.5% polypeptone, 0.2% sodium acetate trihydrate, 0.02% MgSO4·7H2O, 0.001% MnSO4·4H2O, 0.001% FeSO4·7H2O, 0.0025% Tween 80, and 1.5% agar; pH 6.8). Bacteria, such as Bacillus subtilis, were isolated in a standard methods agar (5.0 g/L pancreatic digest of casein, 2.5 g/L yeast extract, 1.0 g/L dextrose, 15.0 g/L agar; pH 7.0 ± 0.2). These bacteria were identified by microscopy and 16S rDNA analysis. Isolated bacteria were cultured, and cultures were sterilized by autoclaving at 121°C for 15 min. The bacteria were then collected by centrifugation, washed three times with water, and then lyophilized. These bacteria were directly used as a dietary supplement. Alternatively, these bacteria were suspended in PBS and used for in vitro immunological assay.

PCR amplification and bacterial 16S rDNA sequencing

Total bacterial DNA was extracted using a NucleoSpin Microbial DNA kit (Macherey-Nagel GmbH & Co. KG). Bacterial 16S rDNA was amplified by PCR using primers 10F (5ʹ-GTT TGA TCC TGG CTC A-3ʹ) and 1500R (5ʹ-TAC CTT GTT ACG ACT T-3ʹ). PCR products were purified using a FastGene Gel/PCR Extraction Kit (Nippon Genetics Co., Ltd). The purified PCR products were sequenced by FASMAC Co., Ltd., Japan, using an Applied Biosystems 3130 XL Genetic Analyzer (Applied Biosystems, Switzerland). To identify the bacterial species, the NCBI BLAST database was used for comparisons.

Cells and mice

The spleen cells of the C57BL/6 mice were prepared as described previously [9]. B220+ B cells were isolated from the spleen cells using a BDTM IMag Cell Separation System in accordance with the manufacturer’s instructions (Becton, Dickinson and Company). B220+ cells were recovered with a purity of >95%. C57BL/6 mice (8 weeks old) were fed either a standard control diet (CE2, CLEA Japan, Inc.) or a diet supplemented with 1% Bacillus coagulans sc-09 for 3 weeks under SPF conditions. To investigate the effect of IL-22, recombinant mouse IL-22 (Tonbo) was administered to control mice by tail vein injection. IL-22 monoclonal antibodies (mAb; Thermo Fisher Scientific) were administered by tail vein injection to the mice fed the diet supplemented with 1% B. coagulans sc-09. The GF mice (C57BL/6NJcl; 8 weeks old) were either fed a standard control diet (CE2, CLEA Japan, Inc.) or a diet supplemented with 1% B. coagulans sc-09 for 4 weeks under an aseptic environment.

In vitro immunological assays

In vitro immunological assays were performed as described previously [5]. A total of 2 × 106 spleen cells were cultured in 1 mL of RPMI 1640 medium containing 10% FCS with or without 10 µg of bacterial cells for 2 days. Activation cell surface markers CD69 and CD86 on spleen cells were evaluated by flow cytometry. Viability was defined as the ration of viable cells to total cells and was determined as described previously [5]. The viability of total spleen cells in the control was 12.0% on average.

Cytokine assays

Spleen cells were cultured for 2 days at a concentration of 2 × 106 cells/mL in RPMI 1640 medium containing 10% FCS with or without 10 µg of bacterial cells. BD GolgiStopTM (in accordance with the manufacturer’s instructions; Becton, Dickinson and Company) was added to the medium at 6 hr before the end of the cultivation period. To measure intracellular cytokines, a BD Fixation/Permeabilization Solution Kit (Becton, Dickinson and Company) was used. Then, permeabilized cells were treated with phycoerythrin (PE)-labeled anti-IL-22 antibodies (clone 1H8PWSR, eBioscience). Cells were analyzed by flow cytometry. IL-22-positive cells in B220+ cells cultured without bacteria served as the control, and their number was defined as 100%. Based on this finding, the relative proportion of IL-22 positive cells cultured with bacteria was calculated as the relative IL-22 expression (%).

Flow cytometry

The cells were analyzed on a MACSQuant Flow Cytometer (Miltenyi Biotec) using the following antibodies: violetFluor™ 450-labeled anti-B220 antibodies (clone RA3-6B2) and APC-labeled anti-CD86 antibodies (clone GL-1) purchased from Tonbo Biosciences and Brilliant Violet 510TM anti-mouse CD4 antibodies (clone RM4-5) and PE-labeled anti-CD69 antibodies (clone H1.2F3) purchased from BioLegend. Dead cells were excluded using propidium iodide (PI) staining. Data analysis was conducted with FlowJo (FlowJo, LLC).

Evaluation of skin barrier function

Transepidermal water loss (TEWL) in mouse skin was measured using a DermaLab Combo system (Cortex Technology). TEWL measurements were recorded once the reading had stabilized at approximately 30 sec after the probe was placed on the skin.

Statistical analysis

Regarding the experimental date in Table 1, samples that had been measured one time and found to have increased were measured 1–6 more times, and the mean value and standard error (SE) were determined. Experimental data in Figs. 2, 3 are indicated as the mean ± SE. Experimental data in Figs. 4, 5 are indicated as the mean ± standard deviation (SD). Statistical significance was evaluated using a two-tailed Student’s t-test for unpaired data in Figs. 2, 3, 4b, and 5. The Tukey test was used for Fig. 4a. P values <0.05 were considered to be statistically significant.
Table 1.

IL-22 production and CD86 expression in B cells caused by in vitro stimulation of bacteria

StrainRelative IL-22 expression (%)Relative CD86 expression (%)n
xSExSE
Control100100
Tetragenococcus halophilusta-011002551
Tetragenococcus halophilusta-02981721
Tetragenococcus halophilusta-03971721
Tetragenococcus halophilusta-04119118363
Tetragenococcus halophilusta-05991711
Tetragenococcus halophilusta-061001921
Tetragenococcus halophilusta-07981831
Tetragenococcus halophilusta-081091911
Tetragenococcus halophilusta-09981981
Tetragenococcus halophilusta-10961701
Tetragenococcus halophilusta-11991721
Tetragenococcus halophilusta-121021781
Tetragenococcus halophilusta-131291219853
Tetragenococcus halophilusta-141001691
Tetragenococcus halophilusta-15951661
Tetragenococcus halophilusta-161141791
Tetragenococcus halophilusta-17991721
Tetragenococcus halophilusta-18971701
Tetragenococcus halophilusta-191121581
Tetragenococcus halophilusta-20941411
Tetragenococcus halophilusta-2113813162123
Tetragenococcus halophilusta-22951371
Tetragenococcus halophilusta-23921291
Tetragenococcus halophilusta-24941441
Tetragenococcus halophilusta-251051461
Tetragenococcus halophilusta-261001531
Tetragenococcus halophilusta-271011481
Tetragenococcus halophilusta-281001051
Tetragenococcus halophilusta-29971151
Tetragenococcus halophilusta-30911041
Tetragenococcus halophilusta-311001041
Tetragenococcus halophilusta-32971061
Tetragenococcus halophilusta-331001091
Tetragenococcus halophilusta-341111551
Tetragenococcus halophilusta-351152151
Tetragenococcus halophilusta-361061791
Tetragenococcus halophilusta-371121671
Tetragenococcus halophilusta-381231168153
Tetragenococcus halophilusta-391071561
Tetragenococcus halophilusta-40971661
Tetragenococcus halophilusta-41991691
Tetragenococcus halophilusta-421001771
Tetragenococcus halophilusta-43971621
Tetragenococcus halophilusta-441022151
Tetragenococcus halophilusta-45971381
Tetragenococcus halophilusta-46971361
Tetragenococcus halophilusta-471001891
Tetragenococcus halophilusta-48991741
Tetragenococcus halophilusta-49137323583
Tetragenococcus halophilusta-501181111
Tetragenococcus halophilusta-5116933262285
*Tetragenococcus halophilusta-5239427348157
Tetragenococcus halophilusta-53912561
Tetragenococcus halophilusta-54951871
Tetragenococcus halophilusta-55961581
Tetragenococcus halophilusta-56921481
Tetragenococcus halophilusta-57902211
Tetragenococcus halophilusta-58922111
Tetragenococcus halophilusta-59931691
Tetragenococcus halophilusta-60991731
Tetragenococcus halophilusta-61941651
Tetragenococcus halophilusta-62921561
Tetragenococcus halophilusta-63911871
Tetragenococcus halophilusta-64911541
Tetragenococcus halophilusta-65901711
Tetragenococcus halophilusta-66941601
Tetragenococcus halophilusta-67941421
Tetragenococcus halophilusta-681131691
Tetragenococcus halophilusta-69901431
Tetragenococcus halophilusta-70901621
Tetragenococcus halophilusta-71921561
Tetragenococcus halophilusta-72882151
Tetragenococcus halophilusta-73921491
Tetragenococcus halophilusta-741051611
Tetragenococcus halophilusta-75931861
Tetragenococcus halophilusta-76901461
Tetragenococcus halophilusta-77901671
Tetragenococcus halophilusta-78921491
Tetragenococcus halophilusta-79901431
Tetragenococcus halophilusta-801061771
Tetragenococcus halophilusta-81941471
Tetragenococcus halophilusta-82951661
Tetragenococcus halophilusta-831081991
Tetragenococcus halophilusta-84941591
Tetragenococcus halophilusta-85932401
Tetragenococcus halophilusta-861001651
Tetragenococcus halophilusta-87921601
Tetragenococcus halophilusta-88951851
Tetragenococcus halophilusta-89981481
Tetragenococcus halophilusta-90941601
Tetragenococcus halophilusta-91941621
Tetragenococcus halophilusta-92931521
Tetragenococcus halophilusta-93991661
Tetragenococcus halophilusta-94921771
Tetragenococcus halophilusta-95921781
Enterococcus faecalisfa-011041551
Enterococcus faecalisfa-02123315573
Enterococcus faecalisfa-031101531
Enterococcus faecalisfa-04951241
Enterococcus faecalisfa-051001211
Enterococcus faecalisfa-06921201
Enterococcus faecalisfa-071021071
Enterococcus faecalisfa-081101261
Enterococcus faecalisfa-091131371
Enterococcus faecalisfa-10961291
Enterococcus faecalisfa-111121391
Enterococcus faecalisfa-121011811
Enterococcus faeciumfc-01891301
Enterococcus faeciumfc-02921251
Enterococcus faeciumfc-03921131
Enterococcus faeciumfc-04931111
Enterococcus faeciumfc-05901151
Enterococcus faeciumfc-06941111
Enterococcus faeciumfc-07901151
Enterococcus faeciumfc-08901151
Enterococcus faeciumfc-09921131
Enterococcus faeciumfc-10891161
Enterococcus faeciumfc-11981351
Enterococcus faeciumfc-121081431
Enterococcus faeciumfc-13951311
Enterococcus faeciumfc-14941261
Enterococcus faeciumfc-15961321
Enterococcus faeciumfc-16991341
Enterococcus faeciumfc-17121617073
Enterococcus faeciumfc-18991601
Enterococcus faeciumfc-191344188123
Enterococcus faeciumfc-20141315863
Enterococcus faeciumfc-21991381
Enterococcus faeciumfc-22981311
Enterococcus faeciumfc-231191421
*Enterococcus faeciumfc-242151919797
Enterococcus faeciumfc-251111461
Enterococcus faeciumfc-261061551
Enterococcus faeciumfc-27951361
Lactobacillus acidipiscislb-01218303431023
Lactobacillus acidipiscislb-0221717221113
Lactobacillus acidipiscislb-0324348392543
Lactobacillus brevislb-0419053218183
Lactobacillus brevislb-051152251
Lactobacillus brevislb-06901971
Lactobacillus brevislb-071002181
Lactobacillus brevislb-08961941
Lactobacillus brevislb-09881691
Lactobacillus brevislb-101181901
Lactobacillus brevislb-1120939166173
Lactobacillus buchnerilb-122402714783
Lactobacillus buchnerilb-13891771
Lactobacillus caseilb-14922061
Lactobacillus caseilb-15933161
Lactobacillus caseilb-16892051
Lactobacillus caseilb-17971571
Lactobacillus curvatuslb-18961981
Lactobacillus fermentumlb-191002151
Lactobacillus fermentumlb-201022231
Lactobacillus fermentumlb-21941931
Lactobacillus fermentumlb-22962081
Lactobacillus fermentumlb-23951931
Lactobacillus fermentumlb-24961971
Lactobacillus fermentumlb-2515639228532
Lactobacillus fermentumlb-26901621
Lactobacillus fructivoranslb-27891901
Lactobacillus fructivoranslb-281122911
Lactobacillus fructivoranslb-291041921
Lactobacillus fructivoranslb-30962971
Lactobacillus fructivoranslb-31953121
Lactobacillus fructivoranslb-3217135352403
Lactobacillus helveticuslb-33911221
Lactobacillus helveticuslb-342109184383
Lactobacillus paracaseilb-35911671
Lactobacillus paracaseilb-36941791
Lactobacillus pentosuslb-37981951
Lactobacillus pentosuslb-381001671
Lactobacillus plantarumlb-391081301
Lactobacillus plantarumlb-40962181
Lactobacillus plantarumlb-411111861
Lactobacillus plantarumlb-42951561
Lactobacillus plantarumlb-431242819743
Lactobacillus plantarumlb-441022121
Lactobacillus plantarumlb-451222181
Lactobacillus plantarumlb-461121821
Lactobacillus plantarumlb-47961851
Lactobacillus plantarumlb-48922661
Lactobacillus plantarumlb-49921751
Lactobacillus plantarumlb-50941811
Lactobacillus plantarumlb-511141211
Lactobacillus plantarumlb-52951631
Lactobacillus plantarumlb-53911741
Lactobacillus rhamnosuslb-561022621
Lactobacillus sakeilb-581101931
Lactobacillus sakeilb-59921931
Lactobacillus sp.lb-601052321
Lactobacillus sp.lb-611556166353
Lactococcus lactislc-011182261
Lactococcus lactislc-021002171
Lactococcus lactislc-031262021
Lactococcus lactislc-041081451
Lactococcus lactislc-05972221
Lactococcus lactislc-061002001
Lactococcus lactislc-07981871
Lactococcus plantarumlc-08138122821013
Leuconostoc citreumls-01982311
Leuconostoc citreumls-021021421
Leuconostoc citreumls-03942051
Leuconostoc citreumls-04942371
Leuconostoc mesenteroidesls-05961831
Leuconostoc mesenteroidesls-06982011
Leuconostoc mesenteroidesls-07992111
Leuconostoc mesenteroidesls-08971851
L. pseudomesenteroidesls-09932051
L. pseudomesenteroidesls-10981881
Pediococcus acidilacticipc-011282121
Pediococcus acidilacticipc-021421661
Pediococcus acidilacticipc-031832271
Pediococcus acidilacticipc-041471861
Pediococcus acidilacticipc-051422471
Pediococcus acidilacticipc-061651221
Pediococcus acidilacticipc-0721733250233
Pediococcus acidilacticipc-081282421
Pediococcus acidilacticipc-091462001
Pediococcus acidilacticipc-101222791
Pediococcus acidilacticipc-111673211
Pediococcus acidilacticipc-121282961
Pediococcus acidilacticipc-131101671
Pediococcus acidilacticipc-141462041
Pediococcus acidilacticipc-151712341
Pediococcus acidilacticipc-161512081
Pediococcus acidilacticipc-1728634237523
Pediococcus acidilacticipc-181472821
*Pediococcus acidilacticipc-1943854284257
Pediococcus acidilacticipc-2019322308623
Pediococcus acidilacticipc-211493701
Pediococcus acidilacticipc-22942301
Pediococcus acidilacticipc-231052631
Pediococcus acidilacticipc-241042441
Pediococcus acidilacticipc-252457299903
Pediococcus acidilacticipc-2624816186163
Pediococcus acidilacticipc-271072221
Pediococcus acidilacticipc-28972531
Pediococcus acidilacticipc-291662531
Pediococcus acidilacticipc-301102761
Pediococcus acidilacticipc-311142321
Pediococcus acidilacticipc-32952531
Pediococcus acidilacticipc-331033001
Pediococcus acidilacticipc-34932011
Pediococcus acidilacticipc-35972091
Pediococcus acidilacticipc-36992651
Pediococcus acidilacticipc-37871731
Pediococcus acidilacticipc-3822528447993
Pediococcus acidilacticipc-39212224041383
Pediococcus dextrinicuspc-401522301
Pediococcus pentosaceuspc-411191711
Pediococcus pentosaceuspc-4221224195363
Pediococcus pentosaceuspc-431361761
Pediococcus pentosaceuspc-441392391
Pediococcus pentosaceuspc-451481681
Pediococcus pentosaceuspc-461041751
Pediococcus pentosaceuspc-471401591
Pediococcus pentosaceuspc-481651951
Pediococcus pentosaceuspc-49901451
Pediococcus pentosaceuspc-501341121
Pediococcus pentosaceuspc-51911891
Pediococcus pentosaceuspc-5219711158253
Pediococcus pentosaceuspc-53141951
Pediococcus pentosaceuspc-541202011
Pediococcus pentosaceuspc-55991631
Pediococcus pentosaceuspc-561582251
Pediococcus pentosaceuspc-571031901
Pediococcus pentosaceuspc-58981711
Pediococcus pentosaceuspc-591192151
Pediococcus pentosaceuspc-60901561
Pediococcus pentosaceuspc-611512231
Pediococcus pentosaceuspc-62981721
Pediococcus pentosaceuspc-631162111
Pediococcus stilesiipc-64921791
Weissella cibariaws-011111771
Weissella cibariaws-021311781
Weissella cibariaws-031382351
Weissella confusaws-041072411
Weissella confusaws-051352101
Weissella confusaws-061617322673
Weissella halotoleransws-071191861
Weissella hellenicaws-081021971
Weissella mesenteroidesws-091001791
Weissella paramesenteroidesws-101341401
Weissella paramesenteroidesws-111151121
Weissella paramesenteroidesws-12861591
Weissella paramesenteroidesws-131221841
Weissella paramesenteroidesws-141231711
Weissella paramesenteroidesws-151221791
Weissella paramesenteroidesws-161151601
Weissella paramesenteroidesws-171421941
Weissella paramesenteroidesws-1819411215323
Weissella soliws-191241341
Weissella viridescensws-201341781
Weissella viridescensws-211381671
Bacillus coagulanssc-0137670555463
Bacillus coagulanssc-0216820262583
Bacillus coagulanssc-0317943441293
Bacillus coagulanssc-0424322688483
Bacillus coagulanssc-0533475404195
Bacillus coagulanssc-0642354414175
Bacillus coagulanssc-0720428392273
Bacillus coagulanssc-08444104385175
*Bacillus coagulanssc-091,062158501537
Bacillus coagulanssc-103387540085
Bacillus coagulanssc-1125316417273
Bacillus coagulanssc-1241990371185
Bacillus coagulanssc-1314319364273
Bacillus coagulanssc-1433254343315
Bacillus coagulanssc-1530941353175
Bacillus coagulanssc-1624929330205
Bacillus coagulanssc-1713110182583
Bacillus coagulanssc-1837635493253
Bacillus coagulanssc-1934931474283
Bacillus coagulanssc-2048010041545
Bacillus subtilisbs-012825251
Bacillus subtilisbs-023554741
Bacillus subtilisbs-032364851
Bacillus subtilisbs-041765611
Bacillus subtilisbs-0545737460904
Bacillus subtilisbs-062714341
Bacillus subtilisbs-0742731321184
Bacillus subtilisbs-083534531
Bacillus subtilisbs-092303331
Bacillus subtilisbs-102452151
Bacillus subtilisbs-111542481
Bacillus subtilisbs-123324711
Bacillus subtilisbs-132185531
Bacillus subtilisbs-141352061
Bacillus subtilisbs-152624531
Bacillus subtilisbs-162526221
Bacillus subtilisbs-172454751
Bacillus subtilisbs-182625261
Bacillus subtilisbs-192983111
Bacillus subtilisbs-201934241
Bacillus subtilisbs-211333661
Bacillus subtilisbs-221785351
Bacillus subtilisbs-231453071
Bacillus subtilisbs-242233781
Bacillus subtilisbs-2537274437514
Bacillus subtilisbs-262112821
Bacillus subtilisbs-271614361
Bacillus subtilisbs-281593691
Bacillus subtilisbs-291664701
*Bacillus subtilisbs-3076655430964
Bacillus subtilisbs-311182801
Bacillus subtilisbs-322673251
Bacillus subtilisbs-331473411
*Bacillus subtilisbs-3497153495384
Bacillus subtilisbs-351712621
Bacillus subtilisbs-3649454655964
Bacillus subtilisbs-371765611
Bacillus subtilisbs-382754491
Bacillus subtilisbs-3951368294444
Bacillus subtilisbs-402494961
Bacillus amyloliquefaciensbi-013694991
Bacillus amyloliquefaciensbi-022134221
Bacillus benzoevoransbi-033484731
Bacillus benzoevoransbi-042283041
Bacillus firmusbi-051611891
Bacillus megateriumbi-061482091
Bacillus megateriumbi-071764121
Bacillus megateriumbi-082674341
Bacillus megateriumbi-092642701
Bacillus novalisbi-103515071
Bacillus pumilusbi-112645221
Bacillus tequilensisbi-122193781

x–: mean value; SE: standard error; n: number. The strains with high values are shown in bold and marked with an asterisk.

Fig. 2.

CD86 expression on B cells and CD69 expression on T cells cultured with bacterial strains.

The spleen cells from C57BL/6 mice were cultured with 10 µg of bacterial cells inducing high IL-22 production in 1 mL of RPMI 1640 medium containing 10% FCS for 2 days. The cells were collected and stained with anti-B220, anti-CD4, anti-CD69, and anti-CD86 mAb. Dead cells were stained with PI. The cells were analyzed by flow cytometry. (A–C) The viabilities of total spleen cells (A), B220+ cells (B), and CD4+ cells (C) cultured without bacterial cells, which served as controls, were defined as 100%. Based on this parameter, the relative viabilities of cells cultured with bacteria were calculated. Bars indicate the mean ± SE (n=6). (D, E) The CD86+ cells in B220+ cells and CD69+ cells in CD4+ cells cultured without bacteria served as controls, and their numbers were defined as 100%. Accordingly, the relative proportions of CD86+ cells and CD69+ cells, respectively, in B220+ cells (D) and CD4+ cells (E) cultured with bacteria were calculated. Bars indicate the mean ± SE (n=6). *p<0.05 vs. control by t-test. **p<0.01 vs. control by t-test. ***p<0.001 vs. control by t-test.

Fig. 3.

CD86 expression and IL-22 production in B cells cultured with bacterial strains.

Spleen B220+ cells prepared from C57BL/6 mice were cultured with 10 µg of bacterial cells that highly induced IL-22 production in 1 mL of RPMI 1640 medium containing 10% FCS for 2 days. The cells were collected and stained with anti-B220 and anti-CD86 mAb. Dead cells were stained with PI. The cells were analyzed by flow cytometry. Viability was assessed (A), and the viability of CD86+ cells in B220+ cells (B) cultured without bacterial cells, which served as control, was defined as 100%. On the basis of this parameter, the relative viability of cells and the relative CD86 expression of cells cultured with bacteria were calculated. Bars indicate the mean ± SE (n=4). (C) Cells cultured for 2 days were further incubated with GolgiStop and then collected and treated using a BD Fixation/Permeabilization Solution Kit. Subsequently, cells were stained and analyzed by flow cytometry. IL-22-positive cells in B220+ cells cultured without bacteria served as the control (0.08%), and their number was defined as 100%. Based on this parameter, the relative IL-22 expression of cells cultured with bacteria was calculated. Bars indicate the mean ± SE (n=4). *p<0.05 vs. control by t-test. **p<0.01 vs. control by t-test. ***p<0.001 vs. control by t-test.

Fig. 4.

Effect of B. coagulans sc-09 on murine skin barrier.

(A) C57BL/6 mice were divided into four groups (n=3 mice/group), with two groups fed a diet containing 1% B. coagulans sc-09 for 3 weeks and two groups fed a diet without B. coagulans. One group was specifically fed a diet containing 1% B. coagulans sc-09 and intravenously injected with the IL-22 antibody (20 µg/body) on the 14th and 17th days of feeding, respectively. The other group fed a diet without B. coagulans was intravenously injected with recombinant mouse IL-22 (2 µg/body) on the 14th and 17th days of feeding, respectively. On the 20th day of feeding, the backs of the mice were shaved, and on the 21st day, the TEWL of the skin on the back of the mice was measured (n=4). Bars indicate the mean ± SD of triplicate experiments. *p<0.05 vs. control by Tukey test. (B) Effect of B. coagulans sc-09 on skin barrier in GF mice. Diet containing 1% B. coagulans sc-09 was fed to GF mice. After feeding for 4 weeks in an aseptic environment, the TEWL of the back skin of the mice was measured. Just before the measurement, the hair on the backs of the mice was cut with clippers. Measurement of TEWL was performed four times each. Bars indicate the mean ± SD (n=5 mice). *p<0.05 vs. control by t-test.

Fig. 5.

Effect of B. coagulans sc-09 on IL-22 production in the Peyer’s patches and mesenteric lymph nodes in mice.

Diet containing 1% B. coagulans sc-09 was fed to C57BL/6 mice for 3 weeks (n=3 mice/group). Then, cells were collected from Peyer’s patches and mesenteric lymph nodes, and the percentages of IL-22-producing cells in B cells were analyzed by FACS. Mice fed without B. coagulans sc-09 were used as the control. Bars indicate the mean ± SD for Peyer’s patches (A) and mesenteric lymph nodes (B). The p values in A and B are 0.245 and 0.265, respectively.

x–: mean value; SE: standard error; n: number. The strains with high values are shown in bold and marked with an asterisk. Bacteria capable of inducing IL-22 and CD86. The results in Table 1 are expressed in a column scatter plot. (A) Relative IL-22 expression in B cells. (B) Relative CD86 expression on B cells. The plots in the figure are divided according to category of bacteria, such as Tetragenococcus and Lactobacillus, and the relative value of each bacterium is plotted. The median value of each category is indicated by a bar. CD86 expression on B cells and CD69 expression on T cells cultured with bacterial strains. The spleen cells from C57BL/6 mice were cultured with 10 µg of bacterial cells inducing high IL-22 production in 1 mL of RPMI 1640 medium containing 10% FCS for 2 days. The cells were collected and stained with anti-B220, anti-CD4, anti-CD69, and anti-CD86 mAb. Dead cells were stained with PI. The cells were analyzed by flow cytometry. (A–C) The viabilities of total spleen cells (A), B220+ cells (B), and CD4+ cells (C) cultured without bacterial cells, which served as controls, were defined as 100%. Based on this parameter, the relative viabilities of cells cultured with bacteria were calculated. Bars indicate the mean ± SE (n=6). (D, E) The CD86+ cells in B220+ cells and CD69+ cells in CD4+ cells cultured without bacteria served as controls, and their numbers were defined as 100%. Accordingly, the relative proportions of CD86+ cells and CD69+ cells, respectively, in B220+ cells (D) and CD4+ cells (E) cultured with bacteria were calculated. Bars indicate the mean ± SE (n=6). *p<0.05 vs. control by t-test. **p<0.01 vs. control by t-test. ***p<0.001 vs. control by t-test. CD86 expression and IL-22 production in B cells cultured with bacterial strains. Spleen B220+ cells prepared from C57BL/6 mice were cultured with 10 µg of bacterial cells that highly induced IL-22 production in 1 mL of RPMI 1640 medium containing 10% FCS for 2 days. The cells were collected and stained with anti-B220 and anti-CD86 mAb. Dead cells were stained with PI. The cells were analyzed by flow cytometry. Viability was assessed (A), and the viability of CD86+ cells in B220+ cells (B) cultured without bacterial cells, which served as control, was defined as 100%. On the basis of this parameter, the relative viability of cells and the relative CD86 expression of cells cultured with bacteria were calculated. Bars indicate the mean ± SE (n=4). (C) Cells cultured for 2 days were further incubated with GolgiStop and then collected and treated using a BD Fixation/Permeabilization Solution Kit. Subsequently, cells were stained and analyzed by flow cytometry. IL-22-positive cells in B220+ cells cultured without bacteria served as the control (0.08%), and their number was defined as 100%. Based on this parameter, the relative IL-22 expression of cells cultured with bacteria was calculated. Bars indicate the mean ± SE (n=4). *p<0.05 vs. control by t-test. **p<0.01 vs. control by t-test. ***p<0.001 vs. control by t-test. Effect of B. coagulans sc-09 on murine skin barrier. (A) C57BL/6 mice were divided into four groups (n=3 mice/group), with two groups fed a diet containing 1% B. coagulans sc-09 for 3 weeks and two groups fed a diet without B. coagulans. One group was specifically fed a diet containing 1% B. coagulans sc-09 and intravenously injected with the IL-22 antibody (20 µg/body) on the 14th and 17th days of feeding, respectively. The other group fed a diet without B. coagulans was intravenously injected with recombinant mouse IL-22 (2 µg/body) on the 14th and 17th days of feeding, respectively. On the 20th day of feeding, the backs of the mice were shaved, and on the 21st day, the TEWL of the skin on the back of the mice was measured (n=4). Bars indicate the mean ± SD of triplicate experiments. *p<0.05 vs. control by Tukey test. (B) Effect of B. coagulans sc-09 on skin barrier in GF mice. Diet containing 1% B. coagulans sc-09 was fed to GF mice. After feeding for 4 weeks in an aseptic environment, the TEWL of the back skin of the mice was measured. Just before the measurement, the hair on the backs of the mice was cut with clippers. Measurement of TEWL was performed four times each. Bars indicate the mean ± SD (n=5 mice). *p<0.05 vs. control by t-test.

RESULTS

Screening of IL-22-inducing bacteria in B cells

We isolated 367 bacteria from Japanese fermented foods, such as miso, soy sauce, and amazake. We collected 95 Tetragenococcus, 39 Enterococcus, 58 Lactobacillus, 8 Lactococcus, 10 Leuconostoc, 64 Pediococcus, 21 Weissella, and 72 Bacillus bacterial isolates. To evaluate the ability of these bacteria in inducing IL-22 production in immune cells, we established an in vitro immunological assay using mouse spleen cells [5]. The ability to induce IL-22 production was distinct for each bacterial species (Table 1 and Fig. 1). Most Tetragenococcus, Enterococcus, Lactococcus, Leuconostoc, and Weissella bacterial strains did not enhance the induction of IL-22 production. Lactobacillus and Pediococcus strains possessed higher abilities to induce IL-22 production than these lactic acid bacterial strains. Additionally, most of the Bacillus strains had higher abilities to induce IL-22 production than the lactic acid bacteria; B. coagulans sc-09, which was isolated from miso, had the highest ability to induce IL-22 production. B. subtilis bs-30 and bs-34 also possessed high IL-22-inducing ability. High IL-22-inducing bacterial strains also augmented activation marker CD86 on B cells. However, their abilities were not always proportional, suggesting that their inducing mechanisms were different.
Fig. 1.

Bacteria capable of inducing IL-22 and CD86.

The results in Table 1 are expressed in a column scatter plot. (A) Relative IL-22 expression in B cells. (B) Relative CD86 expression on B cells. The plots in the figure are divided according to category of bacteria, such as Tetragenococcus and Lactobacillus, and the relative value of each bacterium is plotted. The median value of each category is indicated by a bar.

Activation of B and T cells by IL-22-inducing bacterial strains

As shown in Table 1, the strains with high ability to induce IL-22 production also activated B cells. We assessed if six strains (T. halophilus ta-52, Enterococcus faecium fc-24, Pediococcus acidilactici pc-19, B. coagulans sc-09, B. subtilis bs-30, and B. subtilis bs-34) played a role in survival and activation of B and T cells based on activation markers, such as CD86 on B cells and CD69 on T cells, and determined their cell viability. All the strains augmented the viability of splenocytes, including B and T cells (Fig. 2A–C), and significantly increased CD86 expression on B cells and CD69 expression on CD4+ T cells (Fig. 2D and E). These results suggest that all tested strains activated B and CD4+ T cells and induced IL-22 in B cells. Next, we examined whether the effect of these strains on IL-22 induction in B cells was direct or indirect. We isolated B cells, treated them with bacteria, and measured IL-22 production. As shown in Fig. 3A and B, these strains increased CD86 expression and B cell viability. In addition, IL-22 production similarly increased (Fig. 3C) in consistency with the results presented in Table 1. Among these strains, B. coagulans sc-09 most efficiently induced IL-22-producing B cells. This result indicates that these bacterial strains directly induce IL-22 production in B cells.

B. coagulans sc-09 augments skin barrier function independent of commensal bacteria

We examined the influence on skin barrier function by feeding mice B. coagulans sc-09. Specifically, we fed the mice 1% B. coagulans sc-09 for 3 weeks and measured TEWL. TEWL was significantly reduced in the skin of B. coagulans sc-09–fed mice as compared with that of the control mice (Fig. 4A). When the IL-22 mAb was administered to the B. coagulans sc-09–fed mice, TEWL increased and became significantly higher than that in the control mice. In contrast, TEWL significantly decreased in the control mice administered IL-22 by intravenous injection. To determine whether this function is mediated by commensal bacteria, we utilized GF mice. We fed 1% B. coagulans sc-09 to GF mice for 4 weeks and measured TEWL. As shown in Fig. 4B, even in experiments with GF mice, TEWL significantly decreased in the skin of B. coagulans sc-09-fed mice as compared with that of the control mice. This decrease in TEWL in the B. coagulans sc-09-fed GF mice shows that skin barrier function is independent of commensal bacteria. These results indicate that B. coagulans sc-09 is effective in enhancing skin barrier function. We examined the effect of B. coagulans sc-09 on IL-22 production in SPF mice. IL-22-producing B cells (Bi22 cells) in Peyer’s patches and mesenteric lymph nodes of B. coagulans sc-09-fed mice tended to be increased in comparison with those of control mice (Fig. 5), suggesting that B. coagulans sc-09-mediated IL-22 production contributed to the skin barrier function. Effect of B. coagulans sc-09 on IL-22 production in the Peyer’s patches and mesenteric lymph nodes in mice. Diet containing 1% B. coagulans sc-09 was fed to C57BL/6 mice for 3 weeks (n=3 mice/group). Then, cells were collected from Peyer’s patches and mesenteric lymph nodes, and the percentages of IL-22-producing cells in B cells were analyzed by FACS. Mice fed without B. coagulans sc-09 were used as the control. Bars indicate the mean ± SD for Peyer’s patches (A) and mesenteric lymph nodes (B). The p values in A and B are 0.245 and 0.265, respectively.

DISCUSSION

In this study, we screened bacteria from Japanese fermented foods for their ability to induce IL-22 production in B cells. We found that the ability to induce IL-22 production is dependent on the bacterial species, and Bacillus bacterial strains possessed high IL-22 induction potency. Among these strains, B. coagulans sc-09 was the highest IL-22 induction strain and had the ability to improve skin barrier function in vivo. TEWL measurement is often used as an indicator for evaluating skin barrier function [10]. Because administration of IL-22 decreased TEWL and neutralization of IL-22 increased TEWL, the improvement of skin barrier function caused by B. coagulans sc-09 uptake may be attributed to IL-22. Although the significance of IL-22 produced by B cells is unknown, increased IL-22 may facilitate skin barrier function [7]. Our results suggest that IL-22-inducing bacteria have immunomodulatory abilities in addition to enhancement of skin barrier function. Strains with high abilities to induce IL-22 production also possessed high abilities to activate B cells (Fig. 3); however, these capabilities were not directly proportional to each other (Table 1). Furthermore, only some subpopulations of activated B cells seemed to differentiate into IL-22-producing B cells (Bi22), as Bi22 cells are a minor population in B220+ B cells. This finding suggests that B cell activation and IL-22 induction are distinctly regulated. In our previous report [5], we showed that T. halophilus No. 1 induced multiple subsets in B cells similar to Th cells exist. Thus, some of the microorganisms harboring B cell activation ability may promote differentiation into a subset of B cells producing IL-22. IL-22 is highly expressed in the skin and digestive and respiratory organs [7]. In the skin and intestines, IL-22 induces the production of antibacterial peptides and is considered to be involved in pathogen defense. Recently, reports have shown that Lactobacillus plantarum stimulation of NKs can enhance IL-22 production and defend against enterotoxigenic Escherichia coli-induced damage of the intestinal epithelial barrier [11]. Thus, IL-22-inducing bacteria including B. coagulans sc-09 may act on the barrier function of the intestinal tract, although IL-22 is produced in various types of immune cells. Here, we found that B. coagulans sc-09 has a strong IL-22-inducing function in B cells. B. coagulans is a spore-forming bacterium that produces lactic acid. B. coagulans spores are probiotics and have beneficial effects in humans, such as amelioration of irritable bowel syndrome [12, 13], bacterial vaginosis [14], and intestinal disorders [15,16,17], and absorption of amino acids from proteins [18, 19]. In addition, their use in broilers and fish yields growth-promoting and disease-preventing effects [20, 21]. B. coagulans sc-09 isolated from miso appears to be a probiotic that improves skin barrier function and modulates immune function. Beneficial effects of B. coagulans on IL-22 induction in immune cells appear to contribute to human health when it is supplied as an ingredient in foods and supplements.
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Authors:  M Ratna Sudha; Kanan A Yelikar; Sonali Deshpande
Journal:  Indian J Microbiol       Date:  2011-09-23       Impact factor: 2.461

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Authors:  P M B G Maia Campos; D G Mercurio; M O Melo; B Closs-Gonthier
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Authors:  Chiranjit Maity; Anil Kumar Gupta
Journal:  Eur J Clin Pharmacol       Date:  2018-09-28       Impact factor: 2.953

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Authors:  Xiaolin Yang; Mariko Nakamoto; Emi Shuto; Akiko Hata; Nanako Aki; Yosuke Shikama; Yukiko Bando; Takako Ichihara; Takako Minamigawa; Yumi Kuwamura; Ayako Tamura; Hirokazu Uemura; Kokichi Arisawa; Makoto Funaki; Tohru Sakai
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Journal:  Poult Sci       Date:  2018-08-01       Impact factor: 3.352

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Authors:  Jarrod A Dudakov; Alan M Hanash; Marcel R M van den Brink
Journal:  Annu Rev Immunol       Date:  2015-02-11       Impact factor: 28.527

7.  Bacillus coagulans Unique IS2 in Constipation: A Double-Blind, Placebo-Controlled Study.

Authors:  Ratna Sudha Madempudi; Jayanthi Neelamraju; Jayesh J Ahire; Sandeep K Gupta; Vineet K Shukla
Journal:  Probiotics Antimicrob Proteins       Date:  2020-06       Impact factor: 4.609

8.  Effects of various feeding patterns of Bacillus coagulans on growth performance, antioxidant response and Nrf2-Keap1 signaling pathway in juvenile gibel carp (Carassius auratus gibelio).

Authors:  Yebing Yu; Changhai Wang; Aimin Wang; Wenping Yang; Fu Lv; Fei Liu; Bo Liu; Cunxin Sun
Journal:  Fish Shellfish Immunol       Date:  2017-11-28       Impact factor: 4.581

9.  Reduction in Gastroesophageal Reflux Disease Symptoms Is Associated with Miso Soup Intake in a Population-Based Cross-Sectional Study: The Nagahama Study.

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Journal:  J Nutr Sci Vitaminol (Tokyo)       Date:  2018       Impact factor: 2.000

10.  Lactobacillus plantarum Enhanced IL-22 Production in Natural Killer (NK) Cells That Protect the Integrity of Intestinal Epithelial Cell Barrier Damaged by Enterotoxigenic Escherichia coli.

Authors:  Yueqin Qiu; Zongyong Jiang; Shenglan Hu; Li Wang; Xianyong Ma; Xuefen Yang
Journal:  Int J Mol Sci       Date:  2017-11-13       Impact factor: 5.923

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