Next Article in Journal
Functionalizing Collagen Membranes with MSC-Conditioned Media Promotes Guided Bone Regeneration in Rat Calvarial Defects
Next Article in Special Issue
Lactiplantibacillus plantarum Lac16 Attenuates Enterohemorrhagic Escherichia coli O157:H7 Infection by Inhibiting Virulence Traits and Improving Intestinal Epithelial Barrier Function
Previous Article in Journal
Low Gut Microbial Diversity Augments Estrogen-Driven Pulmonary Fibrosis in Female-Predominant Interstitial Lung Disease
Previous Article in Special Issue
Probiotics Mechanism of Action on Immune Cells and Beneficial Effects on Human Health
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Lacticaseibacillus paracasei GM-080 Ameliorates Allergic Airway Inflammation in Children with Allergic Rhinitis: From an Animal Model to a Double-Blind, Randomized, Placebo-Controlled Trial

1
Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
2
Division of Colorectal Surgery, Department of Surgery, Wanfang Hospital, Taipei Medical University, Taipei 110301, Taiwan
3
School of Biomedical Sciences, Chung Shan Medical University, Taichung 402306, Taiwan
4
Department of Medical Research, Chung Shan Medical University Hospital, Taichung 402306, Taiwan
5
Department of Medical Research, Hsinchu MacKay Memorial Hospital, Hsinchu 300044, Taiwan
6
Research and Development Department, GenMont Biotech Incorporation, Tainan 741014, Taiwan
7
Department of Pediatrics, Taipei Hospital, Ministry of Health and Welfare, New Taipei 242033, Taiwan
8
School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
9
College of Public Health, China Medical University, Taichung 406040, Taiwan
10
National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli 350401, Taiwan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Current address: Department of Pediatrics, Taipei Hospital, Ministry of Health and Welfare, 127 Su-Yuan Road, Hsin-Chuang Dist., New Taipei City 242033, Taiwan.
Cells 2023, 12(5), 768; https://doi.org/10.3390/cells12050768
Submission received: 16 January 2023 / Revised: 16 February 2023 / Accepted: 24 February 2023 / Published: 28 February 2023

Abstract

:
Background: Probiotics may facilitate the clinical management of allergic diseases. However, their effects on allergic rhinitis (AR) remain unclear. We examined the efficacy and safety of Lacticaseibacillus paracasei GM-080 in a mouse model of airway hyper-responsiveness (AHR) and in children with perennial AR (PAR) by using a double-blind, prospective, randomized, placebo-controlled design. Methods: The production of interferon (IFN)-γ and interleukin (IL)-12 was measured by using an enzyme-linked immunosorbent assay. GM-080 safety was evaluated via the whole-genome sequencing (WGS) of virulence genes. An ovalbumin (OVA)-induced AHR mouse model was constructed, and lung inflammation was evaluated by measuring the infiltrating leukocyte content of bronchoalveolar lavage fluid. A clinical trial was conducted with 122 children with PAR who were randomized to receive different doses of GM-080 or the placebo for 3 months, and their AHR symptom severity scores, total nasal symptom scores (TNSSs), and Investigator Global Assessment Scale scores were examined. Results: Among the tested L. paracasei strains, GM-080 induced the highest IFN-γ and IL-12 levels in mouse splenocytes. WGS analysis revealed the absence of virulence factors or antibiotic-resistance genes in GM-080. The oral administration of GM-080 at 1 × 107 colony forming units (CFU)/mouse/day for 8 weeks alleviated OVA-induced AHR and reduced airway inflammation in mice. In children with PAR, the oral consumption of GM-080 at 2 × 109 CFU/day for 3 months ameliorated sneezing and improved Investigator Global Assessment Scale scores significantly. GM-080 consumption led to a nonsignificant decrease in TNSS and also nonsignificantly reduced IgE but increased INF-γ levels. Conclusion: GM-080 may be used as a nutrient supplement to alleviate airway allergic inflammation.

Graphical Abstract

1. Introduction

Allergic rhinitis (AR) and asthma, which occur in the upper and lower airways, respectively, and their co-occurrence are noted in >40% of patients with allergic airway inflammation [1]. T helper 2 (Th2) cells are considered a critical factor in the development of allergic airway inflammation. Animal models have revealed that the transfer of antigen-specific Th2 cells into naïve mice followed by challenge with the specific antigen through inhalation induces asthmatic responses, such as airway hyper-responsiveness (AHR), eosinophilic inflammation, and mucus hyperproduction [2,3]. The airway expression of interleukin (IL)-4, IL-5, and IL-13 released by Th2 cells is a crucial mediator [4,5,6]. However, the major limitations related to biological drugs for allergic airway inflammation, such as dupilumab, include high costs and the loss of responsiveness over time [7]. Thus, low-cost alternative agents for allergic airway inflammation should be developed.
Although animal and human studies [8] have indicated the benefits of probiotics in allergic disease treatment, medical societies hold a conservative attitude toward probiotic use. The World Allergy Organization [9] states that despite the insufficient volume of data on the relevant probiotic strains and dosages, the application of probiotics in pregnant and breastfeeding women, as well as in infants with a family history of allergic disease, particularly eczema, may have considerable effects [10]. The term “pharmabiotics” has been proposed, and the underlying immunomodulatory pathway is of interest to several researchers and clinicians [11]. In a mouse model of house dust mite-induced asthma, Voo et al. found that combination treatment with Lacticaseibacillus rhamnosus and corticosteroid reduced AHR, serum IgE levels, and Th2 cytokines [12]. Lan et al. reported that the oral administration of Lactiplantibacillus plantarum CQPC11 strain to an ovalbumin (OVA)-induced asthmatic mouse model decreased OVA-specific IgE or IgG1 in sera and proinflammatory cytokines in bronchoalveolar lavage fluid (BALF) [13]. Yan et al. reported a meta-analysis of the beneficial effects of probiotics on AR by collecting 30 randomized controlled trials. Their results revealed that the consumption of probiotics improved the scores of Rhinitis Quality of Life and Rhinitis Total Symptom but not immunological parameters, including blood eosinophil count or total and antigen-specific serum IgE levels [14]. Given the unequal effects of different probiotic species or strains in treating allergic AHR [15,16], investigating the efficacy of different probiotic strains in cell models, animal models, and clinical trials before their use as food supplements is essential.
Here, we selected Lacticaseibacillus paracasei strain GM-080 (LP-33, BCRC 910220, CCTCC M 204012), which has been reported to alleviate allergic dermatitis in infants [17], grass pollen-induced persistent AR in adults [18], and perennial AR (PAR) in infants [19], as the main target probiotic. We examined its therapeutic effects in an asthma mouse model and a double-blind, prospective, randomized, placebo-controlled study on children with PAR.

2. Materials and Methods

2.1. L. paracasei Strain and Cell-Wall Component Preparation

L. paracasei strains (GM-080 and GM-2–GM-23; Figure 1A) were obtained from GenMont Biotech (Tainan, Taiwan). Bacterial cells were cultured in MRS broth overnight, then resuspended in sterile phosphate-buffered saline (PBS), and subsequently diluted to 4 × 107 cells/mL. Lipoteichoic acid (LTA) and peptidoglycan (PGN) were purified from live concentrated GM-080 (1 × 1011 colony forming units [CFU]/mL) as previously reported [20].

2.2. Mouse Splenocyte Stimulation and Enzyme-Linked Immunosorbent Assay–Based Detection of Cytokines

The mouse spleen was excised, passed through a 45 µm cell strainer (BD Biosciences, Franklin Lakes, NJ, USA) for conversion into a single-cell suspension, then subjected to red blood cell lysis by using RBC lysis buffer (eBiosciences Inc., San Diego, CA, USA). Isolated splenocytes were seeded into a 96-well-plate at a cell density of 4 × 105 cells/well and incubated with 2 µg/mL ConA, 1 µg/mL lipopolysaccharide (LPS), or GM-080 with different multiplicities of infection (MOIs) separately for 48 h. Cell culture supernatants were then harvested, and the presence of cytokines (IL-5, IL-12, and IFN-γ) was detected by utilizing commercial enzyme-linked immunosorbent assay (ELISA) kits (Cat. No. 555256 for mouse IL-12[P70] and Cat. No. 555138 for mouse IFN-γ; purchased from BD Biosciences, Franklin Lakes, NJ, USA).

2.3. Antimicrobial Susceptibility Profiling

Antimicrobial susceptibility was determined by using the broth microdilution method and lymphocyte separation medium (LSM, including 90% IST medium [Cat. No. CM0473; Oxoid, Basingstoke, Hampshire, UK] and 10% MRS medium (Cat. No. 288130; Difco Laboratories Inc., Franklin Lakes, NJ, USA) in accordance with the guidelines of the Quality and Standards Authority of Ethiopia (ES ISO10932:2012). Twofold dilutions of clinically relevant antibiotics (clindamycin, chloramphenicol, erythromycin, gentamicin, kanamycin, streptomycin, tetracycline, and ampicillin, all from Sigma-Aldrich, Saint Louis, MO, USA) were prepared in LSM. Approximately 50 μL of 6 × 105 CFU/mL L. paracasei cells were loaded into a 96-well plate, followed by 50 μL of multiple antibiotics diluted in LSM. The plate was incubated under anaerobic conditions at 37 °C for 16–24 h. Minimum inhibitory concentrations (MICs) were defined as the lowest concentrations of antibiotics at which the growth of L. paracasei was completely inhibited. Strains were classified as susceptible or resistant by using the microbiological cutoffs established by the European Food Safety Authority (EFSA) [21].

2.4. DNA Extraction, Whole-Genome Sequencing, and Hybrid Genome Assembly

We established a whole-genome sequencing (WGS) assembly pipeline in accordance with a previously reported procedure [22] with minor modifications. In brief, genomic DNA was fragmented through ultrasonication by using Covaris S2 (Covaris, Woburn, MA, USA). Indexed polymerase chain reaction-free library construction was performed by using the multiplexed high-throughput sequencing TruSeq DNA Sample Preparation Kit (Illumina, Inc., San Diego, CA, USA) in accordance with the manufacturer’s protocols with minor modifications. The GM-080 genome was deeply sequenced through Nanopore GridIon long-read sequencing with 175-fold coverage and whole-genome shotgun sequencing by using 2 × 250-bp paired-end sequencing at 125-fold coverage on a MiSeq platform and hybrid-assembled on a MaSuRCA v3.3.1 assembler [23]. Benchmarking Universal Single-Copy Orthologs (version 4.0.0) [24] was applied for genome completeness assessment through comparison with the lactobacillales_odb10 gene database. We deposited all the sequencing data in GenBank under BioProject ID no. PRJNA824946.

2.5. Annotation of Protein-Coding Genes, Virulence Factors, and Antibiotic Resistance

The protein-coding genes in the GM-080 genome were annotated by using Prokka [25]. On the basis of the risk assessment of potential genes of concern for microorganisms to be used in the food chain established by EFSA [26], virulence factors in the genome were separately identified by running BLAST against the virulence factor database (VFDB) [27] by using the following criteria: query sequence hits with identity ≥80%, alignment coverage > 70%, and E-value < 10−30. Antibiotic-resistance genes were predicted through a BLAST search against both the Comprehensive Antibiotic Resistant Database (CARD) [28] and ResFinder (version 4.1) database [29] by using the same criteria. Whole-genome average nucleotide identity was computed by OrthoANI [30]. GM-080 phylogeny and other related genomes were reconstructed using MEGA X [31]. After annotation, the circular genome atlas was generated using the Circos visualization tool [32].

2.6. OVA-Induced AHR Mouse Model

Seven-week-old female BALB/c mice were purchased from The Experimental Animal Facility of the College of Medicine, National Taiwan University (Taipei, Taiwan). Allergic airway inflammation was induced with an intraperitoneal injection of 50 µg of OVA (purchased from Sigma-Aldrich) mixed with the Th2-adjuvant aluminum hydroxide on day 0 and was followed by the administration of 25 µg of OVA on days 14, 28, 42, and 56 to sensitize the mice and then by intranasal challenge with OVA (100 µg) on days 67 and 68. Sera were collected from the retro-orbital sinus on the day before the first OVA sensitization; on post sensitization days 35, 49, and 63; and on the day of sacrifice.

2.7. ELISA Determination of OVA-Specific Immunoglobulins

A 96-well plate was coated with OVA at 1 µg/well and then incubated with blocking solution (1% bovine serum albumin in PBS buffer) at room temperature. The wells were added with mouse serum followed by antibodies diluted with the blocking solution (1:50, 1:1000, and 1:10,000 dilutions for IgE, IgG2a, and IgG1, respectively) and incubated at 4 °C overnight. Biotin-conjugated antibodies against mouse IgE, IgG1, or IgG2a (BD Biosciences) were added after the wells were washed with 0.05% Tween-20/PBS buffer. Then, the plate was incubated at room temperature for 2 h. Next, streptavidin-conjugated horseradish peroxidase was added to the wells. 3,3′,5,5′-Tetramethylbenzidine substrate was used for color development. After the termination of the reaction by using 2 N H2SO4, absorbance was measured at 450 nm on a VERSAmax microplate reader (Molecular Devices, San Jose, CA, USA).

2.8. AHR Determination

In mice, the development of AHR was determined on a Buxco system (Biosystem XA; Buxco Electronics, Sharon, CT, USA). The enhanced pause (Penh) values were calculated with the following formula: (pause × PIF)/PEF, with pause being (Te − Tr)/Tr. Here, PIF is the peak inspiratory flow, PEF is the peak expiratory flow, Te is the expiratory time, and Tr is the relaxation time. First, we recorded the Penh of the mice under awake conditions by using a whole-body plethysmograph chamber for 3 min with normal saline vaporization. Next, the mice received methacholine-containing aerosols at increasing concentrations of 6.25, 12.5, 25, and 50 mg/mL for 3 min. The Penh data are presented as the relative increase in Penh after normalization with Penh after PBS inhalation.

2.9. BALF Collection and White Blood Cell Count

BALF was collected through lung flushing with HBSS buffer containing 2% bovine serum albumin three times by using a trachea cannula (Angiocath, BD Biosciences). BALF cells were then collected through centrifugation at 300× g for 5 min and spanned on slides by using a cytocentrifuge (Thermo Fisher Scientific, Waltham, MA, USA) and then subjected to Liu’s staining. Monocyte, lymphocyte, neutrophil, and eosinophil numbers within the cell pellet were then counted with a 100× objective lens. The data are presented as the average cell count in at least five fields for each sample. BALF eotaxin and IL-5 levels were determined by using commercial ELISA kits (BD Biosciences).

2.10. Patient Recruitment

PAR was diagnosed in accordance with the definition of Saleh and Durham, i.e., symptoms lasting more than 4 days per week and illness duration lasting more than 4 weeks [33]. In total, 156 patients aged 5–16 years old were recruited from the pediatric outpatient clinics of two hospitals (MacKay Memorial Hospital, Taipei, Taiwan and Chang Gung Children’s Hospital, Taipei, Taiwan) for eligibility assessment in our clinical trial. However, 34 patients were excluded because they withdrew without signing the written informed consent form or because they fulfilled the exclusion criteria. The inclusion criteria were (i) age = 5–16 years; (ii) PAR for ≥1 year; (iii) positive on any one of the following tests within 12 months: skin-prick test reaction (wheal size at least 3 mm larger than that made in the diluent control group) or allergic reaction examined by the methods of Pharmacia-CAP or multiple allergens simultaneous test; and (iv) mean total nasal symptoms score (TNSS) of no less than 5 throughout the screening period (at least 4 days) and TNSS on the day before day 0 (first dosing day) visit of no less than 5. Subjects were excluded if they (i) had clinically significant abnormalities in laboratory results as determined during 14 days prior to visit 1 or during the baseline period by the investigator; (ii) had acute or significant chronic sinusitis, severe persistent asthma, congenital immunodeficiency, neuropsychiatric disorders, immune-compromised massive wounds in the oral cavity, use of rhinitis medications, and chronic use of tricyclic antidepressants; (iii) need to take prohibited medications during the study or took the medications within 30 days prior to the screening visit, including parenteral or oral corticosteroids, nasal corticosteroids, topical flurandrenolide, topical clobetasol propionate, topical halobetasol propionate, astemizole, ketotifene, nedocromil or sodium cromoglycate, loratadine, cetirizine, antileukotrienes, other H1 antihistamines, nasal decongestant, or any food supplements including L. paracasei; (iv) were undergoing desensitization therapy within 3 months prior to the screening visit or with vasomotor rhinitis; (v) participated in an investigational drug trial within 4 weeks before entering this study; (vi) were pregnant, lactating, or planning to become pregnant; and (vii) had any other serious disease considered by the investigator not in the condition to enter the trial. The trial was approved by the Joint Institutional Review Board (c/o Taipei Veterans General Hospital, Taipei City, Taiwan) with the reference number 05-016-A on the date of 13 November 2006 and complied with the principles of the Declaration of Helsinki. The trial was registered on ISRCTN Registry (ISRCTN14829274, https://www.isrctn.com/ISRCTN14829274, accessed on 28 October 2022). All the eligible patients and their parents or guardians were provided verbal and written information regarding the study and provided written informed consent.

2.11. Randomized, Double-Blind, Placebo-Controlled Trial Design

The randomized, double-blind, placebo-controlled trial on PAR was designed in accordance with the guidance for developing drug products for AR treatment published by the Division of Pulmonary, Allergy, and Rheumatology Products in the Center for Drug Evaluation and Research at the Food and Drug Administration (April 2000 version). All patients who met the eligibility criteria were randomized to either the probiotic-treated or control group. In total, 137 patients were double-blinded and randomized to four groups, namely, one placebo group and three groups that received live GM-080 at different dosages: group A (2 × 108 colony forming units [CFU]/day); group B (2 × 109 CFU/day), and group C (1 × 1010 CFU/day). All treatments were administered for 3 months. Considering the key factors that could potentially influence treatment outcomes, randomization was stratified by age, sex, and AR severity. All probiotic capsules were supplied and stored at less than 4 °C with cGMP facilities. The demographic characteristics of the patients were collected at baseline by using questionnaires. The primary outcome was the change in AR severity after 3 months of intervention compared with the AR severity at baseline. The patients visited the hospital for data collection six times: at screening (V1) and in treatment weeks 0 (V2), 2 (V3), 4 (V4), 8 (V5), and 12 (V6). TNSS was used to evaluate the severity of main AR symptoms; here, the higher TNSS, the more severe the AR symptoms. Generalized estimating equations (GEEs) [34] were used for a within-subject covariance structure evaluation. The Investigator Global Assessment Scale score at V3–V6 was evaluated by the trial investigator to assess the overall improvement of the participants after the treatment, which was divided into four levels: complete relief (4 points), partial relief (3 points), no relief (2 points), or worse (1 point). All parents were contacted 1 month after treatment to determine whether they observed a relapse after treatment interruption. Changes in severity scores in the groups were evaluated at each visit. The secondary outcomes were changes in total serum IgE and INF-γ levels observed in months 0 and 3. Only 122 patients (28, 31, 31, and 32 in group A, group B, group C, and the placebo group, respectively) were included in the final analysis due to loss of follow-up.

2.12. Skin Prick Tests and Serum Biomarkers

Skin prick tests were performed with commercial allergen extracts of egg, milk, crab, mite, cockroach, and animal dander (ALK-Abell & Oacute, Round Rock, TX, USA). Skin reactivity to allergen sensitization was classified into four grades as previously described [35]. Serum total IgE levels were measured by the Division of Laboratory Medicine of MacKay Memorial Hospital (Taipei City, Taiwan) and the Division of Laboratory Medicine of Chang Gung Memorial Hospital, Taipei (Taipei City, Taiwan). Serum IFN-γ levels were measured by using ELISA kits (BD Biosciences).

2.13. Statistical Analysis

The data from in vitro and OVA-induced airway inflammation mouse model experiments were presented as means ± standard deviations and were analyzed for differences between groups by using one-way analysis of variance (ANOVA), followed by Tukey’s Honestly Significant Difference test. The chi-square test was conducted to compare clinical symptoms. Intragroup comparisons for TNSSs and blood biomarkers at baseline and 3 months after treatment commencement were carried out by using paired t-tests. Intergroup comparisons among the four groups were performed by using ANOVA. The differences in TNSSs at the six visits among the four groups were also evaluated by applying a mixed model with adjustment for potential confounders. All children who completed the study were included in an intention-to-treat analysis regardless of their compliance. All tests assumed a two-sided alternative hypothesis with a significance level of 0.05. All analyses were conducted by using SAS (version 9.1; SAS Institute, Cary, NC, USA).

3. Results

3.1. GM-080 Induces Th1 Cytokine Production in Mouse Splenocytes

The Th1 cytokines of IFN-γ or IL-12 have been demonstrated to suppress AHR in response to allergens [36,37]. We used mouse splenocytes as a cell model and evaluated Th1 cytokine (IFN-γ and IL-12) production in the cell supernatant after L. paracasei exposure to identify the potential L. paracasei strains with antiallergic effects. By using ConA or LPS as the positive control (Figure 1 and Figure 2A,F), we observed that out of all the 23 L. paracasei strains that were screened, GM-080 demonstrated the strongest IFN-γ (Figure 1B) and IL-12 (Figure 1C) induction activity, whereas BCRC 16100 demonstrated the lowest induction activity. We examined the Th1 cytokine induction ability of live GM-080 and the derived LTA or PGN in mouse splenocytes. The best IFN-γ (Figure 2B) and IL-12 (Figure 2G) induction activity was demonstrated by live GM-080 at MOI = 10 and 0.1, respectively; IL-12 induction was greater because of live GM-080 than because of LPS (Figure 2F). LTA and PGN could induce IFN-γ production with the highest extent of induction at a concentration of 1 mg/mL (Figure 2C,D, respectively). These data suggest that GM-080 has the potential to alleviate allergic conditions.

3.2. WGS Analysis Revealed That GM-080 Is a Safe L. paracasei Strain

We performed WGS analysis on GM-080 by using next-generation sequencing. The genetic organization of GM-080 was illustrated in a genome atlas created by using Circos (Figure 3A). One CRISPR locus, one bacteriocin gene, and six prophage-like clusters (Table S1) were observed in the GM-080 genome, with no plasmid being identified (Figure 3B). We next examined the determinants of putative antibiotic resistance and virulence factors to evaluate the safety of GM-080 on the basis of the WGS analysis guidelines for probiotics safety provided by EFSA [26]. Our in silico analysis demonstrated no putative antibiotic resistance or virulence factor genes in the GM-080 chromosome. We further examined the safety of GM-080 by using antimicrobial susceptibility profiling in accordance with the guidelines established by QSEA (ET ISO 10932). All MICs of the tested antibiotics to GM-080 were below the cutoffs suggested by EFSA (Table S2). These data suggest that GM-080 is safe for consumption as a probiotic.

3.3. GM-080 Genome Contains Immunosuppressive Motifs and CpG-Containing Oligonucleotides That Induce Th1 Cytokines in Mouse Splenocytes

We compared the genomes of GM-080 and BCRC 16100 to identify the potential functional genes in GM-080. As indicated by the phylogenetic tree (Figure 3C), GM-080 was clustered with BCRC 16100 [22]; however, BCRC 16100 displayed a lower immunomodulation capability than GM-080 (Figure 1). Table 1 shows that the functional categories of genes in GM080 and BCRC 16100 were highly similar. The unique genes in GM-080 are summarized in Table S3. Immunosuppressive motifs (IMs) in Lactobacillus spp. may participate in ameliorating allergic conditions through their anti-inflammatory activity [38]. In addition, the activation of toll-like receptor 9 by CpG-containing oligonucleotides (ODNs) can shift the immune dominance from Th2 to Th1, which may also facilitate the alleviation of allergic diseases [39]. We analyzed well-known IM and CpG ODNs (Table S4) in two strains and next synthesized eight candidate IM sequences in accordance with the genome sequences of GM-080 (IM4–IM7) and BCRC 16100 (IM8–IM11) and used them to stimulate mouse splenocytes. Although none of the IMs induced IFN-γ production, IM5 from the GM-080 genome exhibited capability for IL-12 induction activity (Table 2). We also synthesized six CpG-containing ODNs on the basis of the genome analysis of GM-080 (ODN1 or ODN2) and BCRC 16100 (ODN3–ODN6) and used them to stimulate mouse splenocytes. None of the BCRC 16100 ODNs exhibited IL-12 induction activity, but both ODNs from GM-080 (ODN1 and ODN2) induced IFN-γ and IL-12 secretion (Table 2). Therefore, we hypothesized that among L. paracasei strains, GM-080 would be a probiotic with antiallergic activity.

3.4. Orally Gavage GM-080 Alleviates OVA-Induced Allergic Airway Inflammation in Mice

We established an OVA-induced AHR mouse model by using the protocol shown in Figure 4A. Oral GM-080 treatment was administered from days 7 to 63 at the dose of either 2 × 106 CFU/mouse/day (low-dose group) or 1 × 107 CFU/mouse/day (high-dose group). Blood samples were collected on days 63 (4 days before intranasal challenge with OVA) and 70 (the day of sacrifice). After the intranasal challenge with OVA, the Penh value elevated as the methacholine dose was increased, indicating the occurrence of AHR. Oral GM-080 alleviated AHR in a dose-dependent manner (Figure 4B). We also observed that the oral administration of high-dose GM-080 significantly reduced the numbers of eosinophils, neutrophils, lymphocytes, and monocyte numbers in BALF, whereas that of low-dose GM-080 significantly reduced the numbers of neutrophils (Figure 5B) and monocytes (Figure 5D). The expression of eotaxin in BALF was reduced by oral GM-080 (Figure 5E). In addition, the IL-5 levels in BALF were reduced by oral GM-080 at low and high dosages (Figure 5F). Next, we found that oral GM-080 at a low dose significantly reduced anti-OVA IgE (Figure 6A) and anti-OVA IgG2a (Figure 6C) levels, whereas that at a high dose significantly reduced only anti-OVA IgG2a levels (Figure 6C) but not anti-OVA IgG1 levels (Figure 6B). Moreover, oral GM-080 reduced ConA- (Figure 6E) and OVA- (Figure 6F) induced IL-5 production in mouse splenocytes. These data demonstrate that the oral administration of GM-080 can ameliorate allergic airway inflammation in OVA-induced AHR mice.

3.5. GM-080 Alleviates PAR in Children

Finally, we conducted a double-blind, randomized, placebo-controlled trial to investigate the beneficial effects of GM-080 in children with PAR. The study design was summarized in Figure 7 and their baseline demographic characteristics were presented in Table 3; no significant differences were noted among the patient groups. We first evaluated the effects of probiotics on AR symptom severity scores. Only the sneezing subscale scores significantly decreased, particularly in group B (in which 2 × 109 CFU/day GM-080 was administered; Table 4). Scores for other symptoms such as rhinorrhea, nasal pruritus, and nasal congestion did not improve in groups A and C compared with the placebo group. By contrast, these scores significantly improved in group B over time (Table 4).
We next examined the effects of GM-080 on patients’ quality of life by using TNSSs. TNSSs are a convenient tool for symptom description and the assessment of functional problems (physical, emotional, social, and occupational) associated with AR. We noted a nonsignificant decrease in TNSSs over time in groups A, B, and C (Table 4). In our GEE model, TNSSs after the five visits among our four groups exhibited no significant differences (Table 5). Investigator Global Assessment Scale scores were higher in the groups that were administered GM-080 than in the placebo group after treatment (Table 6, p = 0.049). We also examined the effects of GM-080 administration on serum IgE production, skin sensitization, and serum IFN-γ levels at baseline and at the end of treatment (month 3). No changes in sera total IgE levels were observed either at baseline or at the end of treatment after 12 weeks among the groups (Table 7). We observed an increasing trend in IFN-γ levels of GM-080 consumption groups with middle and high doses (group B and group C, respectively) at the end of treatment compared to the placebo or low dose group (group A) (Table 7). However, the increases did not reach statistical differences. These data indicate the beneficial effects of GM-080 consumption in pediatric AR; however, these effects are not dosage-dependent but time-dependent.
Additional well-designed clinical trials are warranted to identify the most effective dosage of GM-080.

4. Discussion

Lactobacillus spp. alleviate allergic diseases through different mechanisms. In mice, the oral administration of Lactobacillus reuteri for 9 days increased CD4+CD25+FoxP3+ regulatory T (Treg) cell numbers in the spleen; moreover, the adoptive transfer of these Treg cells from L. reuteri-treated mice reduced airway inflammation induced by antigen challenge [40]. Zhong et al. demonstrated that in OVA-sensitized rats, the administration of a mixture of probiotic genomic DNA derived from L. rhamnosus GG (LGG) and Bifidobacterium longum BB536 or that of a synthetic CpG-ODN reduced the production of Th2 cytokines and increased the Treg cell population in the spleen or mesenteric lymph nodes on the basis of increased toll-like receptor 9/nuclear factor kappa B activity [41]. CpG-ODN and LGG DNA containing TTTCGTTT, which is an IM, also demonstrated antiallergic potential in mice; specifically, they downregulated OVA-specific IgE production and increased systemic Th1 responses [42]. In the current study, the predicted IMs from BCRC 16100 did not display any Th1 cytokine induction capabilities and only IM5 in GM-080 exhibited IL-12 induction activity in mouse splenocytes (Table 2). Although the frequency of IMs in the genomes of probiotics may be associated with their antiallergic potential [43], the observed immunomodulatory activities of the predicted IMs warrant experimental examination. In the present study, we could not predict the relationship between the antiallergic activity of GM-080 and the associated changes in Th1 cytokine induction in vitro (Figure 2B,F) or the reduction in Th2 cytokine levels in vivo (Figure 5F). Given the Th1 cytokine induction activity of GM-080 IM5 and GM-080 ODN1 and ODN2 (Table 2), CpG-ODN and IMs in the GM-080 genome may underlie the beneficial effects of GM-080 against AHR.
Considering their IFN-γ induction activity in vitro (Figure 2C,D), LTA and PGN, two cell-wall components of GM-080, may be the key active ingredients involved in the improvement of AHR. Li et al. reported that PGN from Lactobacillus acidophilus inhibited IgE production and regulated Treg–Th17 balance, thus preventing β-lactoglobulin allergy [44]. Mat et al. indicated that treatment with LTA from Staphylococcus aureus reduced IL-5 production in peripheral blood mononuclear cells from patients with asthma [45], suggesting that LTA might have AHR-alleviating effects. However, the detailed molecular mechanisms underlying IFN-γ upregulation due to GM-080-derived LTA or PGN warrant further investigation.
In our WGS of GM-080 and BCRC 16100 (Table 1 and Table S3), the undecaprenyl-phosphate galactose phosphotransferase gene (rfbp) and alpha-D-GlcNAc alpha-1,2-L-rhamnosyltransferase gene (rgpAc) involved in exopolysaccharide synthesis were noted only in GM-080. Wu et al. reported that exopolysaccharides from B. longum BCRC 14634 suppressed LPS-induced TNF-α production in J774A.1 macrophages [46]. Whether the immunomodulatory effect of GM-080-derived exopolysaccharides is responsible for the antiallergic activity of GM-080 remains unclear. In Treg cells, glutathione (GSH) loss can reduce suppressor function, thus inducing multiorgan autoimmunity. GSH-enriched yeast has been demonstrated to alleviate CCl4-induced liver damage in rats. In our analysis of the GM-080 genome, we noted the presence of pepA, an aminopeptidase that may be involved in GSH biosynthesis [47]. Considering that oxidative stress is a hallmark of asthma [48], GM-080 may be a GSH-enriched Lactobacillus that can improve the allergic condition.
In our in vitro analysis of the effects of GM-080 on Th1 cytokine (IL-12 and IFN-γ) production, the induction effect was unaffected by the MOI (Figure 2). This result indicates the presence of a therapeutic window of GM-080 dosage for the alleviation of airway allergic conditions. One animal study even confirmed that for GM-080, immunoregulatory function is determined by dehydrogenase activity [49]. In particular, the effectiveness of probiotics in the human environment may be affected by factors related to the internal microbial ecosystem, including intestinal colonization duration and changes in intestinal microbiota, after the consumption of probiotics [49]. The optimization of GM-080 dosage based on AHR severity warrants further investigation. In the OVA-induced asthma mouse model, we found that the oral consumption of GM-080 at the sensitization phase could reduce anti-OVA specific IgE at low doses (Figure 6A) or anti-OVA specific IgG2a at low and high doses (Figure 6C) but did not change anti-OVA specific IgG1 levels (Figure 6B). As a result of the general role of IgG1 or IgG2a for representing Th2 or Th1 responses, respectively [50], the data on unchanged anti-OVA specific IgG1 may not reflect the downregulation of Th2 responses by GM-080. Thus, we further examined OVA-induced IL-5 production after GM-080 consumption and found that it could be reduced at both doses of GM-080 (Figure 6F). Indeed, several studies related to the improvement in OVA-induced asthma in mouse models also reported the suppression of anti-OVA specific IgG2a [51,52]. The data of reducing serum OVA-specific-IgE and OVA-induced IL-5 production by mouse splenocytes in this study suggests that GM-080, at an optimal dose, could inhibit Th2 responses.
In the current trial, the single live strain GM-080 was used, and its PAR-alleviating effect appeared to be significant only in terms of symptom (sneezing) relief (Table 4) and quality of life improvement (Table 6). Moreover, the effects of GM-080 on symptom (sneezing) relief were not dosage-dependent. In the present study, the elevated serum IFN-γ levels at the final visit were noted only in the patients who consumed a moderate amount of GM-080 at the dose of 2 × 109 CFU per day (Table 7), indicating that IFN-γ induction may serve as a predictive factor for the selection of antiallergic probiotics. Lin et al. reported that in children aged 6–12 years, treatment with L. paracasei HF.A00232 at 5 × 109 CFU/capsule combined with 5 mg of levocetirizine significantly ameliorated AR symptoms, including sneezing, itching nose, and swollen, puffy eyes [53]. Therefore, the effects of GM-080 in combination with antihistamines on AR symptoms should be investigated.

5. Conclusions

L. paracasei GM-080 induced Th1 cytokine production in mouse splenocytes and improved airway inflammation in an OVA-induced asthma mouse model with Th2 cytokine downregulation. This prospective, double-blind, placebo-controlled, randomized clinical trial on PAR showed the ameliorating effects of GM-080 on symptoms, such as sneezing, TNSS, and Investigator Global Assessment Scale score. Therefore, when given as a food supplement, GM-080 can alleviate AR in children.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cells12050768/s1, Table S1: CRISPR loci, prophage-like clusters, and bacteriocin gene in the GM-080 genome; Table S2: Minimum inhibitory concentrations (MICs) of L. paracasei GM-080 toward eight antimicrobials and their microbiological cutoffs; Table S3: EggNOG functional annotations of L. paracasei GM-080; Table S4: Putative IM and CpG-containing ODN contents in L. paracasei strains.

Author Contributions

W.-H.T. designed the in vitro and animal studies. C.-H.C. performed the in vitro and animal studies. J.-H.J. performed the WGS analysis. W.-H.T. and I.-J.W. analyzed the data. E.-K.L., W.-W.C., W.-H.T. and I.-J.W. wrote the article. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by a grant from the Ministry of Science and Technology (MOST 109-2628-B-192 -001-) and by GenMont Biotech (Taiwan).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of Taipei Veterans General Hospital (Taipei City, Taiwan) with a reference number of 05-016-A at the date of 13 November 2006, and it was registered on ISRCTN registry (ISRCTN14829274, https://www.isrctn.com/ISRCTN14829274, accessed on 28 October 2022). The protocols of animal experiments were approved by the Animal Care and Utilization Committee of GenMont Biotech Incorporation, Inc. (Taiwan IACUC Approval No: 194; trial no: 104010 and 105001).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patient(s) to publish this paper.

Data Availability Statement

The whole genome sequencing data of BCRC 16100 were available in GenBank® (National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, USA) with the accession number of GCA_022588775.1. The nucleotide sequences of GM-080 have been submitted into BioProject in NCBI with an accession number of PRJNA824946.

Acknowledgments

We thank for Shyh-Dar Shyur at Makay Memorial Hospital (Taipei, Taiwan) and Dah-Chin Yan at Chang Gung Memorial Hospital (Taoyuan, Taiwan) for their assistance with clinical data collection.

Conflicts of Interest

Taipei Hospital, Ministry of Health and Welfare Authority has a contract with GenMont Biotech, which provided funds for probiotics. W.H.T. and C.H.C. are the employee in GenMont Biotech.

References

  1. Lipworth, B.J.; White, P.S. Allergic inflammation in the unified airway: Start with the nose. Thorax 2000, 55, 878–881. [Google Scholar] [CrossRef] [Green Version]
  2. Cohn, L.; Homer, R.J.; MacLeod, H.; Mohrs, M.; Brombacher, F.; Bottomly, K. Th2-induced airway mucus production is dependent on IL-4Ralpha, but not on eosinophils. J. Immunol. 1999, 162, 6178–6183. [Google Scholar] [CrossRef]
  3. Cohn, L.; Homer, R.J.; Marinov, A.; Rankin, J.; Bottomly, K. Induction of airway mucus production By T helper 2 (Th2) cells: A critical role for interleukin 4 in cell recruitment but not mucus production. J. Exp. Med. 1997, 186, 1737–1747. [Google Scholar] [CrossRef]
  4. Brusselle, G.G.; Kips, J.C.; Tavernier, J.H.; van der Heyden, J.G.; Cuvelier, C.A.; Pauwels, R.A.; Bluethmann, H. Attenuation of allergic airway inflammation in IL-4 deficient mice. Clin. Exp. Allergy 1994, 24, 73–80. [Google Scholar] [CrossRef]
  5. Hogan, S.P.; Koskinen, A.; Foster, P.S. Interleukin-5 and eosinophils induce airway damage and bronchial hyperreactivity during allergic airway inflammation in BALB/c mice. Immunol. Cell Biol. 1997, 75, 284–288. [Google Scholar] [CrossRef]
  6. Taube, C.; Duez, C.; Cui, Z.H.; Takeda, K.; Rha, Y.H.; Park, J.W.; Balhorn, A.; Donaldson, D.D.; Dakhama, A.; Gelfand, E.W. The role of IL-13 in established allergic airway disease. J. Immunol. 2002, 169, 6482–6489. [Google Scholar] [CrossRef] [Green Version]
  7. Strober, B.E. Why Biologic Therapies Sometimes Lose Efficacy. Semin. Cutan. Med. Surg. 2016, 35, S78–S80. [Google Scholar] [CrossRef]
  8. McFarland, L.V. From yaks to yogurt: The history, development, and current use of probiotics. Clin. Infect. Dis. 2015, 60, S85–S90. [Google Scholar] [CrossRef] [Green Version]
  9. Das, R.R.; Singh, M.; Shafiq, N. Probiotics in treatment of allergic rhinitis. World Allergy Organ. J. 2010, 3, 239–244. [Google Scholar] [CrossRef] [Green Version]
  10. Fiocchi, A.; Pawankar, R.; Cuello-Garcia, C.; Ahn, K.; Al-Hammadi, S.; Agarwal, A.; Beyer, K.; Burks, W.; Canonica, G.W.; Ebisawa, M.; et al. World Allergy Organization-McMaster University Guidelines for Allergic Disease Prevention (GLAD-P): Probiotics. World Allergy Organ. J. 2015, 8, 4. [Google Scholar] [CrossRef] [Green Version]
  11. Sharma, G.; Im, S.H. Probiotics as a Potential Immunomodulating Pharmabiotics in Allergic Diseases: Current Status and Future Prospects. Allergy Asthma Immunol. Res. 2018, 10, 575–590. [Google Scholar] [CrossRef]
  12. Voo, P.Y.; Wu, C.T.; Sun, H.L.; Ko, J.L.; Lue, K.H. Effect of combination treatment with Lactobacillus rhamnosus and corticosteroid in reducing airway inflammation in a mouse asthma model. J. Microbiol. Immunol. Infect. 2022, 55, 766–776. [Google Scholar] [CrossRef]
  13. Lan, H.; Gui, Z.; Zeng, Z.; Li, D.; Qian, B.; Qin, L.Y.; Dai, L.; Song, J.L. Oral administration of Lactobacillus plantarum CQPC11 attenuated the airway inflammation in an ovalbumin (OVA)-induced Balb/c mouse model of asthma. J. Food Biochem. 2022, 46, e14036. [Google Scholar] [CrossRef]
  14. Yan, S.; Ai, S.; Huang, L.; Qiu, C.; Zhang, F.; He, N.; Zhuang, X.; Zheng, J. Systematic review and meta-analysis of probiotics in the treatment of allergic rhinitis. Allergol. Immunopathol. (Madr) 2022, 50, 24–37. [Google Scholar] [CrossRef]
  15. Forsythe, P.; Inman, M.D.; Bienenstock, J. Oral treatment with live Lactobacillus reuteri inhibits the allergic airway response in mice. Am. J. Respir. Crit. Care Med. 2007, 175, 561–569. [Google Scholar] [CrossRef]
  16. Nawaz, M.; Ma, C.; Basra, M.A.; Wang, J.; Xu, J. Amelioration of ovalbumin induced allergic symptoms in Balb/c mice by potentially probiotic strains of lactobacilli. Benef. Microbes 2015, 6, 669–678. [Google Scholar] [CrossRef]
  17. Yan, D.C.; Hung, C.H.; Sy, L.B.; Lue, K.H.; Shih, I.H.; Yang, C.Y.; Chen, L.C.; Sun, H.L.; Lee, M.S.; Chambard, J.; et al. A Randomized, Double-Blind, Placebo-Controlled Trial Assessing the Oral Administration of a Heat-Treated Lactobacillus paracasei Supplement in Infants with Atopic Dermatitis Receiving Topical Corticosteroid Therapy. Skin Pharmacol. Physiol. 2019, 32, 201–211. [Google Scholar] [CrossRef]
  18. Costa, D.J.; Marteau, P.; Amouyal, M.; Poulsen, L.K.; Hamelmann, E.; Cazaubiel, M.; Housez, B.; Leuillet, S.; Stavnsbjerg, M.; Molimard, P.; et al. Efficacy and safety of the probiotic Lactobacillus paracasei LP-33 in allergic rhinitis: A double-blind, randomized, placebo-controlled trial (GA2LEN Study). Eur. J. Clin. Nutr. 2014, 68, 602–607. [Google Scholar] [CrossRef]
  19. Ahmed, M.; Billoo, A.G.; Iqbal, K. Efficacy of probiotic in perennial allergic rhinitis under five year children: A randomized controlled trial. Pak. J. Med. Sci. 2019, 35, 1538–1543. [Google Scholar] [CrossRef] [Green Version]
  20. Tsai, W.H.; Chou, C.H.; Chiang, Y.J.; Lin, C.G.; Lee, C.H. Regulatory effects of Lactobacillus plantarum-GMNL6 on human skin health by improving skin microbiome. Int. J. Med. Sci. 2021, 18, 1114–1120. [Google Scholar] [CrossRef]
  21. Additives, E.P.o.; Feed, P.o.S.u.i.A. Guidance on the assessment of bacterial susceptibility to antimicrobials of human and veterinary importance. EFSA J. 2012, 10, 2740. [Google Scholar]
  22. Jhong, J.H.; Tsai, W.H.; Yang, L.C.; Chou, C.H.; Lee, T.Y.; Yeh, Y.T.; Huang, C.H.; Luo, Y.H. Heat-Killed Lacticaseibacillus paracasei GMNL-653 Exerts Antiosteoporotic Effects by Restoring the Gut Microbiota Dysbiosis in Ovariectomized Mice. Front. Nutr. 2022, 9, 804210. [Google Scholar] [CrossRef]
  23. Zimin, A.V.; Puiu, D.; Luo, M.C.; Zhu, T.; Koren, S.; Marçais, G.; Yorke, J.A.; Dvořák, J.; Salzberg, S.L. Hybrid assembly of the large and highly repetitive genome of Aegilops tauschii, a progenitor of bread wheat, with the MaSuRCA mega-reads algorithm. Genome Res. 2017, 27, 787–792. [Google Scholar] [CrossRef] [Green Version]
  24. Seppey, M.; Manni, M.; Zdobnov, E.M. BUSCO: Assessing Genome Assembly and Annotation Completeness. Methods Mol. Biol. (Clifton N.J.) 2019, 1962, 227–245. [Google Scholar] [CrossRef]
  25. Seemann, T. Prokka: Rapid prokaryotic genome annotation. Bioinformatics (Oxford Engl.) 2014, 30, 2068–2069. [Google Scholar] [CrossRef] [Green Version]
  26. European Food Safety, A. EFSA statement on the requirements for whole genome sequence analysis of microorganisms intentionally used in the food chain. EFSA J. 2021, 19, e06506. [Google Scholar] [CrossRef]
  27. Liu, B.; Zheng, D.; Jin, Q.; Chen, L.; Yang, J. VFDB 2019: A comparative pathogenomic platform with an interactive web interface. Nucleic Acids Res. 2019, 47, D687–D692. [Google Scholar] [CrossRef]
  28. Alcock, B.P.; Raphenya, A.R.; Lau, T.T.Y.; Tsang, K.K.; Bouchard, M.; Edalatmand, A.; Huynh, W.; Nguyen, A.V.; Cheng, A.A.; Liu, S.; et al. CARD 2020: Antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Res. 2020, 48, D517–D525. [Google Scholar] [CrossRef]
  29. Bortolaia, V.; Kaas, R.S.; Ruppe, E.; Roberts, M.C.; Schwarz, S.; Cattoir, V.; Philippon, A.; Allesoe, R.L.; Rebelo, A.R.; Florensa, A.F.; et al. ResFinder 4.0 for predictions of phenotypes from genotypes. J. Antimicrob. Chemother. 2020, 75, 3491–3500. [Google Scholar] [CrossRef]
  30. Lee, I.; Ouk Kim, Y.; Park, S.C.; Chun, J. OrthoANI: An improved algorithm and software for calculating average nucleotide identity. Int. J. Syst. Evol. Microbiol. 2016, 66, 1100–1103. [Google Scholar] [CrossRef]
  31. Kumar, S.; Stecher, G.; Li, M.; Knyaz, C.; Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol. Biol. Evol. 2018, 35, 1547–1549. [Google Scholar] [CrossRef] [PubMed]
  32. Krzywinski, M.; Schein, J.; Birol, I.; Connors, J.; Gascoyne, R.; Horsman, D.; Jones, S.J.; Marra, M.A. Circos: An information aesthetic for comparative genomics. Genome Res. 2009, 19, 1639–1645. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Saleh, H.A.; Durham, S.R. Perennial rhinitis. BMJ 2007, 335, 502–507. [Google Scholar] [CrossRef] [PubMed]
  34. Zeger, S.L.; Liang, K.Y.; Albert, P.S. Models for longitudinal data: A generalized estimating equation approach. Biometrics 1988, 44, 1049–1060. [Google Scholar] [CrossRef] [Green Version]
  35. Ring, J.; Behrendt, H.; de Weck, A. History and classification of anaphylaxis. Chem. Immunol. Allergy 2010, 95, 1–11. [Google Scholar] [CrossRef] [PubMed]
  36. Lack, G.; Bradley, K.L.; Hamelmann, E.; Renz, H.; Loader, J.; Leung, D.Y.; Larsen, G.; Gelfand, E.W. Nebulized IFN-gamma inhibits the development of secondary allergic responses in mice. J. Immunol. 1996, 157, 1432–1439. [Google Scholar] [CrossRef]
  37. Kips, J.C.; Brusselle, G.J.; Joos, G.F.; Peleman, R.A.; Tavernier, J.H.; Devos, R.R.; Pauwels, R.A. Interleukin-12 inhibits antigen-induced airway hyperresponsiveness in mice. Am. J. Respir. Crit. Care Med. 1996, 153, 535–539. [Google Scholar] [CrossRef]
  38. Bouladoux, N.; Hall, J.A.; Grainger, J.R.; dos Santos, L.M.; Kann, M.G.; Nagarajan, V.; Verthelyi, D.; Belkaid, Y. Regulatory role of suppressive motifs from commensal DNA. Mucosal Immunol. 2012, 5, 623–634. [Google Scholar] [CrossRef] [Green Version]
  39. Montamat, G.; Leonard, C.; Poli, A.; Klimek, L.; Ollert, M. CpG Adjuvant in Allergen-Specific Immunotherapy: Finding the Sweet Spot for the Induction of Immune Tolerance. Front. Immunol. 2021, 12, 590054. [Google Scholar] [CrossRef]
  40. Karimi, K.; Inman, M.D.; Bienenstock, J.; Forsythe, P. Lactobacillus reuteri-induced regulatory T cells protect against an allergic airway response in mice. Am. J. Respir. Crit. Care Med. 2009, 179, 186–193. [Google Scholar] [CrossRef]
  41. Zhong, Y.; Huang, J.; Tang, W.; Chen, B.; Cai, W. Effects of probiotics, probiotic DNA and the CpG oligodeoxynucleotides on ovalbumin-sensitized Brown-Norway rats via TLR9/NF-kappaB pathway. FEMS Immunol. Med. Microbiol. 2012, 66, 71–82. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Iliev, I.D.; Tohno, M.; Kurosaki, D.; Shimosato, T.; He, F.; Hosoda, M.; Saito, T.; Kitazawa, H. Immunostimulatory oligodeoxynucleotide containing TTTCGTTT motif from Lactobacillus rhamnosus GG DNA potentially suppresses OVA-specific IgE production in mice. Scand J. Immunol. 2008, 67, 370–376. [Google Scholar] [CrossRef] [PubMed]
  43. Mazhary, Z.; Fard, N.A.; Minuchehr, Z.; Javanshir, N. Package of anti-allergic probiotic Lactobacillus by focusing on the regulatory role of immunosuppressive motifs in allergy. Inform. Med. Unlocked 2020, 18, 100280. [Google Scholar] [CrossRef]
  44. Li, A.L.; Sun, Y.Q.; Du, P.; Meng, X.C.; Guo, L.; Li, S.; Zhang, C. The Effect of Lactobacillus actobacillus Peptidoglycan on Bovine beta-Lactoglobulin-Sensitized Mice via TLR2/NF-kappaB Pathway. Iran. J. Allergy Asthma Immunol. 2017, 16, 147–158. [Google Scholar] [PubMed]
  45. Mat, Z.; Grensemann, B.; Yakin, Y.; Knobloch, J.; Koch, A. Effect of lipoteichoic acid on IL-2 and IL-5 release from T lymphocytes in asthma and COPD. Int. Immunopharmacol. 2012, 13, 284–291. [Google Scholar] [CrossRef] [PubMed]
  46. Wu, M.H.; Pan, T.M.; Wu, Y.J.; Chang, S.J.; Chang, M.S.; Hu, C.Y. Exopolysaccharide activities from probiotic bifidobacterium: Immunomodulatory effects (on J774A.1 macrophages) and antimicrobial properties. Int. J. Food Microbiol. 2010, 144, 104–110. [Google Scholar] [CrossRef] [PubMed]
  47. Gonzalez-Bacerio, J.; Izquierdo, M.; Aguado, M.E.; Varela, A.C.; Gonzalez-Matos, M.; Del Rivero, M.A. Using microbial metalo-aminopeptidases as targets in human infectious diseases. Microb. Cell 2021, 8, 239–246. [Google Scholar] [CrossRef]
  48. Sahiner, U.M.; Birben, E.; Erzurum, S.; Sackesen, C.; Kalayci, O. Oxidative stress in asthma. World Allergy Organ. J. 2011, 4, 151–158. [Google Scholar] [CrossRef] [Green Version]
  49. Aponte, M.; Murru, N.; Shoukat, M. Therapeutic, Prophylactic, and Functional Use of Probiotics: A Current Perspective. Front. Microbiol. 2020, 11, 562048. [Google Scholar] [CrossRef]
  50. Stevens, T.L.; Bossie, A.; Sanders, V.M.; Fernandez-Botran, R.; Coffman, R.L.; Mosmann, T.R.; Vitetta, E.S. Regulation of antibody isotype secretion by subsets of antigen-specific helper T cells. Nature 1988, 334, 255–258. [Google Scholar] [CrossRef]
  51. Yamaki, K.; Uchida, H.; Harada, Y.; Li, X.; Yanagisawa, R.; Takano, H.; Hayashi, H.; Taneda, S.; Mori, Y.; Yoshino, S. Effect of methotrexate on Th1 and Th2 immune responses in mice. J. Pharm. Pharmacol. 2003, 55, 1661–1666. [Google Scholar] [CrossRef] [PubMed]
  52. Hwang, Y.H.; Hong, S.G.; Mun, S.K.; Kim, S.J.; Lee, S.J.; Kim, J.J.; Kang, K.Y.; Yee, S.T. The Protective Effects of Astaxanthin on the OVA-Induced Asthma Mice Model. Molecules 2017, 22, 2019. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Lin, W.Y.; Fu, L.S.; Lin, H.K.; Shen, C.Y.; Chen, Y.J. Evaluation of the effect of Lactobacillus paracasei (HF.A00232) in children (6–13 years old) with perennial allergic rhinitis: A 12-week, double-blind, randomized, placebo-controlled study. Pediatr. Neonatol. 2014, 55, 181–188. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Th1 cytokine induction by GM-080 in mouse splenocytes. (A) List of L. paracasei strains used for coculture with mouse splenocytes. (B,C) Different strains of viable L. paracasei were used to coculture with mouse splenocytes at MOI = 10 for 48 h. The presence of IFN-γ (B) and IL-12 (C) in the culture supernatants was determined using commercial ELISA kits. LPS (1 µg/mL) or ConA (2 µg/mL) was used as the positive control.
Figure 1. Th1 cytokine induction by GM-080 in mouse splenocytes. (A) List of L. paracasei strains used for coculture with mouse splenocytes. (B,C) Different strains of viable L. paracasei were used to coculture with mouse splenocytes at MOI = 10 for 48 h. The presence of IFN-γ (B) and IL-12 (C) in the culture supernatants was determined using commercial ELISA kits. LPS (1 µg/mL) or ConA (2 µg/mL) was used as the positive control.
Cells 12 00768 g001
Figure 2. Effects of GM-080 preparations and cell wall compartments in Th1 cytokines production of mouse splenocytes. We seeded 4 × 105 mouse splenocytes into a 48-well plate, followed by treatment with viable GM-080 preparation with the indicated MOI or cell wall compartments purified from GM-080 (LTA and PGN) for 48 h. The culture supernatants were then harvested, and INF-γ (AD) or IL-12 (EH) production was determined using commercial ELISA kits. LPS (1 µg/mL) or ConA (1 µg/mL) was used as the positive control. N.D., not detected.
Figure 2. Effects of GM-080 preparations and cell wall compartments in Th1 cytokines production of mouse splenocytes. We seeded 4 × 105 mouse splenocytes into a 48-well plate, followed by treatment with viable GM-080 preparation with the indicated MOI or cell wall compartments purified from GM-080 (LTA and PGN) for 48 h. The culture supernatants were then harvested, and INF-γ (AD) or IL-12 (EH) production was determined using commercial ELISA kits. LPS (1 µg/mL) or ConA (1 µg/mL) was used as the positive control. N.D., not detected.
Cells 12 00768 g002
Figure 3. WGS analysis of GM-080. (A) Circular genome graph of GM-080 illustrated using Circos. (B) Summary of general features of GM-080 genome. (C) Maximum-likelihood tree of GM-080 and BCRC 16100 with 32 other known Lactobacillus strains.
Figure 3. WGS analysis of GM-080. (A) Circular genome graph of GM-080 illustrated using Circos. (B) Summary of general features of GM-080 genome. (C) Maximum-likelihood tree of GM-080 and BCRC 16100 with 32 other known Lactobacillus strains.
Cells 12 00768 g003
Figure 4. Effects of oral GM-080 on respiratory resistance in our OVA-induced AHR mouse model. (A) Illustration of the experimental procedure used for induction of OVA-induced AHR mouse model. Two dosages of GM-080 (LP-L, 2 × 106 CFU/mouse/day; LP-H, 1 × 107 CFU/mouse/day) were force-fed to mice through gavage. (B) Respiratory resistance was evaluated on the basis of Penh values under the inhalation of the indicated concentration of methacholine. NC, nontreated control; H2O, H2O gavage. * p < 0.05 compared with the H2O group.
Figure 4. Effects of oral GM-080 on respiratory resistance in our OVA-induced AHR mouse model. (A) Illustration of the experimental procedure used for induction of OVA-induced AHR mouse model. Two dosages of GM-080 (LP-L, 2 × 106 CFU/mouse/day; LP-H, 1 × 107 CFU/mouse/day) were force-fed to mice through gavage. (B) Respiratory resistance was evaluated on the basis of Penh values under the inhalation of the indicated concentration of methacholine. NC, nontreated control; H2O, H2O gavage. * p < 0.05 compared with the H2O group.
Cells 12 00768 g004
Figure 5. Effects of oral GM-080 on immune cell infiltration and eosinophilic cytokines in lungs of mice with AHR. BALF was collected 2 days after the final OVA challenge followed by centrifugation, and the cell pellet was collected. (AD) Eosinophil (A), neutrophil (B), lymphocyte (C), and monocyte (D) infiltration was evaluated through microscopy after staining cells with Liu’s stain. (E,F) Eotaxin (E) or IL-5 (F) levels in BALF was determined using commercial ELISA kits. NC, nontreated control; H2O, H2O gavage; LP-L, GM-080 at 2 × 106 CFU/mouse/day through gavage; LP-H, GM-080 at 1 × 107 CFU/mouse/day through gavage. * p < 0.05, ** p < 0.01.
Figure 5. Effects of oral GM-080 on immune cell infiltration and eosinophilic cytokines in lungs of mice with AHR. BALF was collected 2 days after the final OVA challenge followed by centrifugation, and the cell pellet was collected. (AD) Eosinophil (A), neutrophil (B), lymphocyte (C), and monocyte (D) infiltration was evaluated through microscopy after staining cells with Liu’s stain. (E,F) Eotaxin (E) or IL-5 (F) levels in BALF was determined using commercial ELISA kits. NC, nontreated control; H2O, H2O gavage; LP-L, GM-080 at 2 × 106 CFU/mouse/day through gavage; LP-H, GM-080 at 1 × 107 CFU/mouse/day through gavage. * p < 0.05, ** p < 0.01.
Cells 12 00768 g005
Figure 6. Effects of GM-080 consumption in OVA-specific antibodies or OVA-induced IL-5 production in an OVA-induced AHR mouse model. (AC) Mice sera were collected 2 days after final theOVA challenge, and the presence of OVA-specific IgE (A), IgG1 (B), and IgG2a (C) was determined using ELISA. (DF) Splenocytes were collected 2 days after the final OVA challenge and then seeded into a 48-well-plate at a density of 5 × 106 cells/well to determine IL-5 production without treatment (D) or after treatment with 2 µg/mL ConA (E) or 100 µg/mL OVA (F). NC, nontreated control; H2O, H2O gavage; LP-L, GM-080 at 2 × 106 CFU/mouse/day through gavage; LP-H, GM-080 at 1 × 107 CFU/mouse/day through gavage. * p < 0.05, ** p < 0.01.
Figure 6. Effects of GM-080 consumption in OVA-specific antibodies or OVA-induced IL-5 production in an OVA-induced AHR mouse model. (AC) Mice sera were collected 2 days after final theOVA challenge, and the presence of OVA-specific IgE (A), IgG1 (B), and IgG2a (C) was determined using ELISA. (DF) Splenocytes were collected 2 days after the final OVA challenge and then seeded into a 48-well-plate at a density of 5 × 106 cells/well to determine IL-5 production without treatment (D) or after treatment with 2 µg/mL ConA (E) or 100 µg/mL OVA (F). NC, nontreated control; H2O, H2O gavage; LP-L, GM-080 at 2 × 106 CFU/mouse/day through gavage; LP-H, GM-080 at 1 × 107 CFU/mouse/day through gavage. * p < 0.05, ** p < 0.01.
Cells 12 00768 g006
Figure 7. Enrollment of children with AR in our double-blind, randomized, placebo-controlled trial. The inclusion and exclusion criteria are described in the Section 2.
Figure 7. Enrollment of children with AR in our double-blind, randomized, placebo-controlled trial. The inclusion and exclusion criteria are described in the Section 2.
Cells 12 00768 g007
Table 1. COG functional categories of GM-080 and BCRC 16100.
Table 1. COG functional categories of GM-080 and BCRC 16100.
COG Functional Categories aSame Gene No.Unique Genes in GM-080
(Total No.)
Unique Genes in BCRC 16100 (Total No.)
Cell wall/membrane/envelope biogenesis (M) 72rfbP, rgpAc, mprF (3)kdsD, tuaG, tagF, ywqC, tagE, gtf1 (6)
Replication, recombination, and repair (L)89recT, pi112, tnpA1, tnp1216, cas2, cas1, cas9, int3, pi346, tnpR, is18, yqaJ, rusA (13)-
Posttranslational modification, protein turnover, and chaperones (O) 44gst (1)-
Carbohydrate transport and metabolism (G) 139agaD, kduI, kdgK, ahaA, xylP, lacE, lacG, lacF (8)pts32BC, gatY, mnaA (3)
Amino acid transport and metabolism (E) 132dppA, pepA, yxeO (3)-
Coenzyme transport and metabolism (H) 53-pdxA (1)
Inorganic ion transport and metabolism (P) 92feoA, ytmL (2)kdgT, sfuB, fbpC (3)
Secondary metabolites biosynthesis, transport, and catabolism (Q) 15kduD (1)-
Intracellular trafficking, secretion, and vesicular transport (U) 36chaT1, clpP (2)secY2, secA2 (2)
a COG, Clusters of Orthologous Gene. The analysis of COG categories was done by National Center for Biotechnology Information (https://www.ncbi.nlm.nih.gov/research/cog/, access on 1 November 2021).
Table 2. Immunoregulatory effects of putative IM and CpG-containing ODN a in GM-080 and BCRC 16100.
Table 2. Immunoregulatory effects of putative IM and CpG-containing ODN a in GM-080 and BCRC 16100.
CodeCore SequenceStrainSequenceIFN-r (pg/mL) bIL-12 (pg/mL) c
IM3TCAAGCTTGA TCAAGCTTGA ND dND
IM4TCAAGCTTGA GM-080CAAGCGTCAAGCTTGAATGANDND
IM5GM-080AAAAATTCAAGCTTGATAGTND609.8 ± 227.69
IM6GM-080CCATCGTCAAGCTTGACTTGNDND
IM7GM-080CCCTAATCAAGCTTGATTAANDND
IM8BCRC 16100GCAGCTTCAAGCTTGAAAAANDND
IM9BCRC 16100CCGGCCTCAAGCTTGAATTGNDND
IM10BCRC 16100TTTCATTCAAGCTTGACGCTNDND
IM11BCRC 16100CCTTAATCAAGCTTGATTAGNDND
ODN1GACGATCGTCGM-080GCTTGACGATCGTCTCTGGAND38.8 ± 65.2
ODN2ACGACGTCGTGM-080GGTCACGACGTCGTTTACAAA490 ± 272.74 46.1 ± 32.88
ODN3GACGATCGTCBCRC 16100AATTGACGATCGTCTAATTCNDND
ODN4BCRC 16100TGTCGACGATCGTCGTCTGTNDND
ODN5BCRC 16100CAGAGACGATCGTCAAGCGA77.381 ± 5.4ND
ODN6ACGACGTCGTBCRC 16100CGTCACGACGTCGTGACCGGCNDND
a ODN, oligonucleotides. b Treatment concentration was 0.125 µM. Data are presented as means ± standard deviations. c Treatment concentration was 1 µM. Data are presented as means ± standard deviations. d ND, not detected.
Table 3. Demographic and baseline characteristics of patients a.
Table 3. Demographic and baseline characteristics of patients a.
CharacteristicsA Group (n = 28)B Group (n = 31)C Group (n = 31)PLC Group (n = 32)p
Male b20 (71.4%)18 (58.1%)18 (58.1%)21 (65.6%)0.660
Age (year) c8.25 (2.78)8.74 (2.77)8.42 (2.55)8.56 (2.95)0.917
Sneezing c1.69 (0.77)1.61 (0.67)1.49 (0.79)1.75 (0.64)0.527
Rhinorrhea c1.83 (0.55)1.81 (0.68)1.69 (0.70)1.95 (0.60)0.435
Nasal pruritus c1.73 (0.70)1.72 (0.53)1.69 (0.67)1.70 (0.79)0.997
Nasal congestion c2.10 (0.63)1.97 (0.66)2.04 (0.71)2.04 (0.61)0.880
TNSS c7.34 (1.44)7.11 (1.74)6.92 (1.57)7.44 (1.56)0.559
Total serum IgE (kU/L) c652.58 (1366.19)547.66 (530.99)614.81 (661.08)405.68 (384.19)0.642
Combine with asthma b11 (39.3%)14 (45.2%)11 (35.3%)12 (37.5%)0.878
Combine with atopic dermatitis b12 (42.9%)11 (35.5%)8 (25.8%)11 (34.4%)0.590
Combine with conjunctivitis b5 (17.9%)6 (19.4%)5 (16.1%)9 (28.1%)0.648
Allergic sensitization b
 Mite (Df)23 (82.1%)25 (80.6%)20 (64.5%)25 (78.1%)0.350
 Mite (Dp)26 (92.9%)30 (96.8%)28 (90.3%)31 (96.9%)0.624
Cockroach6 (21.4%)7 (22.6%)10 (32.3%)5 (15.6%)0.470
 Animal dander (Cats)6 (21.4%)4 (12.9%)7 (22.6%)7 (21.9%)0.749
 Animal dander (Dogs)7 (25.0%)6 (19.4%)7 (22.6%)9 (28.1%)0.869
 Mold1 (3.6%)2 (6.5%)2 (6.5%)1 (3.1%)0.887
a Severity of each symptom was measured on a 4-point scale: 0 = absent; 1 = mild; 2 = moderate; 3 = severe. Scores for each symptom were added to obtain the TNSS. b Data are presented as n (%). c Data are presented as mean (standard deviation).
Table 4. AR symptom scores at baseline and follow-up visits among enrolled patients #.
Table 4. AR symptom scores at baseline and follow-up visits among enrolled patients #.
SubscaleExaminationA Group
(n = 28)
B Group
(n = 31)
C Group
(n = 31)
PLC Group
(n = 32)
p
SneezingVisit 21.69 (0.77)1.61 (0.67)1.49 (0.79)1.75 (0.64)0.527
Visit 31.61 (0.71)1.20 (0.57) a1.43 (0.83)1.67 (0.67)0.045 e
Visit 41.68 (0.75)1.19 (0.70) a1.41 (0.83)1.40 (0.65)0.090
Visit 51.51 (0.74)1.02 (0.66) a1.35 (0.96)1.50 (0.66)0.049 e
Visit 61.33 (0.76)1.08 (0.68) a1.06 (0.82) ab1.56 (0.82)0.033 e
RhinorrheaVisit 21.83 (0.55)1.81 (0.68)1.69 (0.70)1.95 (0.60)0.435
Visit 31.71 (0.67)1.73 (0.83)1.51 (0.86)1.95 (0.75)0.170
Visit 41.69 (0.71)1.42 (0.80) a1.39 (0.76)1.65 (0.66)0.252
Visit 51.37 (0.73)1.20 (0.72) ab1.24 (1.00)1.59 (0.69)0.203
Visit 61.42 (0.81)1.11 (0.67) ab1.24 (0.99)1.44 (0.75)0.320
Nasal pruritusVisit 21.73 (0.70)1.72 (0.53)1.69 (0.67)1.70 (0.79)0.997
Visit 31.54 (0.83)1.42 (0.73)1.35 (0.67)1.65 (0.80)0.415
Visit 41.43 (0.81)1.34 (0.78) a1.24 (0.59) a1.51 (0.72)0.466
Visit 51.24 (0.64) a1.09 (0.64) a1.11 (0.78) a1.47 (0.75)0.123
Visit 61.08 (0.77) a1.08 (0.80) a1.09 (0.75) a1.33 (0.89)0.520
Nasal congestionVisit 22.10 (0.63)1.97 (0.66)2.04 (0.71)2.04 (0.61)0.880
Visit 31.87 (0.74)1.87 (0.82)1.86 (0.88)2.07 (0.76)0.663
Visit 41.87 (0.81)1.60 (0.78)1.72 (0.64)1.84 (0.72)0.476
Visit 51.33 (0.71) ab1.35 (0.88) a1.47 (0.89) a1.77 (0.84)0.154
Visit 61.29 (0.73) abc1.15 (0.88) abc1.19 (0.90) abc1.48 (0.84) a0.414
TNSSVisit 27.34 (1.44)7.11 (1.74)6.92 (1.57)7.44 (1.56)0.559
Visit 36.74 (2.01)6.23 (2.21)6.15 (2.51)7.35 (2.24)0.135
Visit 46.68 (2.45)5.54 (2.50) a5.77 (1.95) a6.40 (2.05)0.174
Visit 55.44 (2.13) a4.67 (2.41) ab5.18 (2.97) a6.33 (2.36)0.066
Visit 65.12 (2.44) abc4.42 (2.39) ab4.57 (3.00) abc5.56 (2.49)0.286
# Severity of each symptom was measured on a 4-point scale: 0 = absent; 1 = mild; 2 = moderate; 3 = severe. Scores for each symptom were added to obtain the TNSS. Data were presented as mean (standard deviation). a p < 0.05, intragroup comparisons (visit 6 vs. visit 2, visit 5 vs. visit 2, visit 4 vs. visit 2, visit 3 vs. visit 2 in each group). b p < 0.05, intragroup comparisons (visit 6 vs. visit 3, visit 5 vs. visit 3, visit 4 vs. visit 3). c p < 0.05, intragroup comparisons (visit 6 vs. visit 4, visit 5 vs. visit 4). e p < 0.05, intragroup comparisons (difference between the four groups).
Table 5. Differences in sneezing, rhinorrhea, nasal pruritus, nasal congestion, and TNSS among the four groups after five visits based on the GEE model.
Table 5. Differences in sneezing, rhinorrhea, nasal pruritus, nasal congestion, and TNSS among the four groups after five visits based on the GEE model.
A Group (n = 28)B Group (n = 31)C Group (n = 31)PLC Group (n = 32)p
SubscalenValue (95% CI a)nValue (95% CI)nValue (95% CI)nValue (95% CI)
Sneezing280.028 (−0.321, 0.377)31−0.229 (−0.536, 0.077)31−0.250 (−0.604, 0.104)32Referent0.041 b
Rhinorrhea28−0.014 (−0.404, 0.376)31−0.332 (−0.677, 0.012)31−0.202 (−0.627, 0.223)32Referent0.104
Nasal pruritus28−0.258 (−0.671, 0.155)31−0.250 (−0.662, 0.161)31−0.242 (−0.643, 0.159)32Referent0.414
Nasal congestion28−0.192 (−0.583, 0.199)31−0.330 (−0.750, 0.089)31−0.289 (−0.713, 0.136)32Referent0.441
TNSS28−0.436 (−1.663, 0.791)31−1.142 (−2.328, 0.044)31−0.983 (−2.324, 0.357)32Referent0.070
a CI, confidence interval. b p < 0.05, intergroup comparisons (difference between four groups).
Table 6. Investigator Global Assessment Scale scores at baseline and follow-up visits among the four groups a.
Table 6. Investigator Global Assessment Scale scores at baseline and follow-up visits among the four groups a.
Subscale Examination
A Group
(n = 28)
B Group
(n = 31)
C Group
(n = 31)
PLC Group
(n = 32)
p-Value
4 Groups
Global AssessmentVisit 32.43 (0.88)2.42 (0.62)2.58 (0.56)2.47 (0.72)0.795
Visit 42.61 (0.63)2.61 (0.67)2.71 (0.69)2.44 (0.76)0.471
Visit 53.00 (0.61) bc2.94 (0.81) b2.77 (0.76)2.53 (0.84)0.083
Visit 62.96 (0.74) c2.97 (0.71) b3.16 (0.86) d2.59 (0.91)0.049 e
a Data are presented as mean (standard deviation). b p < 0.05, intragroup comparisons (visit 6 vs. visit 3, visit 5 vs. visit 3, visit 4 vs. visit 3 in each group). c p < 0.05, intragroup comparisons (visit 6 vs. visit 4, visit 5 vs. visit 4). d p < 0.05, intragroup comparisons (visit 6 vs. visit 5). e p < 0.05, intragroup comparisons (difference between the four groups).
Table 7. Serum biomarker and sensitization levels at baseline and at the end of treatment #.
Table 7. Serum biomarker and sensitization levels at baseline and at the end of treatment #.
BiomarkerExaminationA group
(n = 28)
B group
(n = 31)
C group
(n = 31)
PLC group
(n = 32)
p
Total IgE (kU/L) aBaseline652.58 (1366.19)547.66 (530.99)614.81 (661.08)405.68 (384.19)0.642
Visit 6648.73 (1466.52)449.69 (469.01)599.39 (677.36)419.52 (529.22)0.833
IFN-γ (ng/mL) aBaseline436.96 (366.48)494.73 (760.74)302.30 (442.22)383.25 (498.97)0.331
Visit 6467.10 (915.50)1042.03 (3006.39) b740.28 (2020.84)515.89 (1830.42)0.480
# Measurements were performed in month 3. a p < 0.05, intragroup comparisons (visit 6 vs. baseline in each group). b Data are presented as means (standard deviations).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Lin, E.-K.; Chang, W.-W.; Jhong, J.-H.; Tsai, W.-H.; Chou, C.-H.; Wang, I.-J. Lacticaseibacillus paracasei GM-080 Ameliorates Allergic Airway Inflammation in Children with Allergic Rhinitis: From an Animal Model to a Double-Blind, Randomized, Placebo-Controlled Trial. Cells 2023, 12, 768. https://doi.org/10.3390/cells12050768

AMA Style

Lin E-K, Chang W-W, Jhong J-H, Tsai W-H, Chou C-H, Wang I-J. Lacticaseibacillus paracasei GM-080 Ameliorates Allergic Airway Inflammation in Children with Allergic Rhinitis: From an Animal Model to a Double-Blind, Randomized, Placebo-Controlled Trial. Cells. 2023; 12(5):768. https://doi.org/10.3390/cells12050768

Chicago/Turabian Style

Lin, En-Kwang, Wen-Wei Chang, Jhih-Hua Jhong, Wan-Hua Tsai, Chia-Hsuan Chou, and I-Jen Wang. 2023. "Lacticaseibacillus paracasei GM-080 Ameliorates Allergic Airway Inflammation in Children with Allergic Rhinitis: From an Animal Model to a Double-Blind, Randomized, Placebo-Controlled Trial" Cells 12, no. 5: 768. https://doi.org/10.3390/cells12050768

APA Style

Lin, E. -K., Chang, W. -W., Jhong, J. -H., Tsai, W. -H., Chou, C. -H., & Wang, I. -J. (2023). Lacticaseibacillus paracasei GM-080 Ameliorates Allergic Airway Inflammation in Children with Allergic Rhinitis: From an Animal Model to a Double-Blind, Randomized, Placebo-Controlled Trial. Cells, 12(5), 768. https://doi.org/10.3390/cells12050768

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop