Introduction
The production of recombinant proteins has been the foundation of the industrial and pharmaceutical biotechnology for the past 30 years (Puetz and Wurm, 2019). There are a wide variety of cell factories, such as mammalian cell lines, insect cells, whole plants, yeast, and bacteria (Ferrer-Miralles and Villaverde, 2013). Lactococcus lactis subsp. lactis IL1403 is a laboratory strain that is widely used in recombinant DNA technology (Pedersen et al., 2005). L. lactis is generally recognized as safe by the Food and Drug Administration (FDA; Song et al., 2017). Moreover, L. lactis is a popular microbial factory system owing to the wealth of genetic knowledge about it, and several existing recombinant protein expression systems (Linares et al., 2010). With the emergence of safety issues related to live microbial cells, including living modified organisms (LMOs), there is increasing interest in probiotic cell components and metabolites (Teame et al., 2020). To date, there have been few studies on the oral administration of bacterial cell extracts as delivery vectors containing recombinant proteins.
Microfold (M) cells are specialized immune cells located in gut-associated lymphoid tissue (GALT), and play an essential role in the initiation of the intestinal immune response that transports luminal antigens through the intestine toward GALT (Foussat et al., 2001). Many previous studies have shown that the receptor activator of NF-kB ligand (RANKL) can induce the differentiation of M cells (Kanaya et al., 2012; Knoop et al., 2009; Kunisawa et al., 2008). Knoop et al. (2009) showed that purified recombinant mouse RANKL produced by a recombinant Escherichia coli differentiated M cells in the small intestine of RANKL-null mice (Knoop et al., 2009). In addition, Kim et al. (2015) showed that oral administration of recombinant L. lactis secreting mouse RANKL significantly increased the number of mature M cells in the mouse small intestine (Kim et al., 2015). These studies demonstrated that recombinant RANKL produced by bacteria is biologically active.
With the advent of next-generation sequencing (NGS) technology, it is easy to determine gene expression levels in the tissues or gut microbiomes. Many studies have focused on the profiling gene expression in diseases, and also profiled the alteration of gut microbiome in diseases or determined the effect of consuming live probiotics, but the alteration of gene expression and gut microbiome after intake of bacterial cell extracts or recombinant proteins is not clear yet.
In this study, the effect of the cell extracts of recombinant L. lactis expressing mRANKL (mRANKL_CE) were evaluated on small intestinal gene expression and gut microbiome in mice, to determine the usefulness of combinations of cell extracts and recombinant proteins for the development of protein drugs.
Materials and Methods
Bacterial strains and growth conditions
Wild-type L. lactis IL1403 was used as the host strain for recombinant protein production, and grown in M17 medium (MBcell, Seoul, Korea) supplemented with 5 g/L of glucose (M17G). Recombinant L. lactis IL1403 was grown in M17G media with chloramphenicol (5 µg/mL) and erythromycin (5 µg/mL) at 30℃.
Gene synthesis and plasmid construction
Mouse RANKL sequence was used in Knoop and Kim’s studies (Kim et al., 2015; Knoop et al., 2009). To secrete the target protein, the signal peptide of USP45 (van Asseldonk et al., 1993) was added to the N-terminus, and to detect the expressed protein, a his-tag (his6x) was added to the C-terminus of the target gene. The designed amino acid sequence was codon-optimized using DNAWorks v3.2.4 (Hoover and Lubkowski, 2002) based on the L. lactis IL1403 codon usage table. The insert fragment was synthesized by Macrogen (Seoul, Korea). The insert fragment was shown in Supplementary Fig. S1. The plasmid vector pILPtuf.Mb was used as the backbone (Kim et al., 2009). Insert and vector were ligated at the NdeI and XhoI restriction sites and transformed into wild-type L. lactis IL1403 (WT_CE) competent cells. Vector construction is shown in Fig. 1A.
Fig. 1. Schematic diagram for construction of recombinant mRANKL expression vector system and detection of target gene expression. (A) Plasmid vector system. (B) Western blot for detecting mRANKL from cell extracts (intracellular) and cell-free culture supernatants (extracellular), lane 1: Cell extracts of Lactococcus lactis IL1403; lane 2: Cell-free culture supernatant of L. lactis IL1403; lane 3: Cell extracts of recombinant L. lactis IL1403; lane 4: Cell-free culture supernatant of recombinant L. lactis IL1403. mRANKL, mouse receptor activator of NF-kB ligand.
Physiological characterization of Lactococcus lactis strains
Wild-type and recombinant L. lactis strains were cultured in 50 mL of M17G broth without and with antibiotics, respectively. The optical density of each sample was measured at a wavelength of 600 nm every 1 h for 12 h and 24 h after inoculation.
Confirmation of the expression of mouse receptor activator of NF-kB ligand (mRANKL)
The expression of mRANKL from recombinant L. lactis was measured by sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE) and western blotting. Wild type and recombinant L. lactis were cultured in M17G broth without and with antibiotics at 30℃ for 10 h, respectively. For preparation of cell extracts, 10 mL of cultured cells were harvested by centrifugation at 12,300×g for 1 min and lysed using a bead beater with 0.5 g sterilized glass beads (0.5 mm) and 200 µL 1×phosphate buffered saline (PBS). The secreted proteins were collected from 10 mL of cultured cell-free supernatant (0.2 µm filtered) through trichloroacetic acid precipitation, and dissolved in 200 µL 1×PBS for SDS-PAGE and western blot analysis. To quantify the amount of mRANKL produced, 18 kDa commercial recombinant His-tagged human calmodulin (Merck KGaA, Darmstadt, Germany) was used for construction of the standard curve using amounts of 1.5, 1, and 0.5 µg.
Validation of the biological activity of recombinant mouse receptor activator of NF-kB ligand (mRANKL) in vitro
RAW 264.7 cells were seeded on cell culture dishes in Dulbecco’s modified Eagle’s medium (DMEM; Capricorn, Düsseldorf, Germany) with 10% fetal bovine serum (FBS; Capricorn) and 1% penicillin and streptomycin (P/S) at a density of 2×106 cells/mL. After seeding for 4 h, the medium was changed to DMEM with 10% FBS, 1% P/S, and 30 ng/mL macrophage colony-stimulating factor with crude cell extracts of wild-type or recombinant L. lactis, that were prepared as described above. The group treated with 1×PBS as control was named PBS, and groups treated with cell extracts from wild type L. lactis IL1403 and mRANKL producing L. lactis were named WT_CE and mRANKL_CE, respectively. According several dose test, finally, the cell extracts containing 90 ng/mL of mRANKL used in this study, and the same amount of cell extracts of WT_CE were used. Commercial mouse RANKL (Abcam, Hanam, Korea) was added to the medium at a concentration of 60 ng/mL.
After 72 h of treatment, the medium was replaced with fresh media, and the cells were incubated for another 72 h. Total RNA was extracted using TRIzol® (ThermoFisher, Seoul, Korea) according to the manufacturer’s instructions, and cDNA was synthesized using PrimeScriptTM RT reagent Kit (Takara Bio, Shiga, Japan). qRT-PCR was conducted using TB Green® Premix Ex TaqTM (Tli RNaseH Plus, Takara Bio) with specific primers TRAP-F:5′-GCGACCATTGTTAGCCACATACGG-3′; TRAP-R:5′-CGCCCAGGGAGTCCTCAGATCCAT-3′ and primers for the housekeeping gene GAPDH-F:5′-AACTTT GGCATTGTGGAAGGGCTC-3′; GAPDH-R:5′-AAGGCCATGCCAGTGAGCTTC-3′. mRNA levels were normalized to those of GAPDH (Kim et al., 2015).
Animal experiments
Four-week-old BALB/c mice were randomly assigned to the three groups (PBS, WT_CE, and mRANKL_CE). Before oral administration, 300 µL of neutralizing reagent (1.5% NaH2CO3) was administered to prevent gastric acidity. After 30 min, 100 µL 1×PBS was fed to the PBS group, and the cell extracts from 2.5×108 CFU wild type L. lactis IL1403 and cell extracts containing mRANKL (4.2 µg) from 2.5×108 CFU of recombinant L. lactis were fed to WT_CE and mRANKL_CE groups, respectively. All groups were fed for seven consecutive days and sampled on the eighth day (Supplementary Fig. S2).
Validation of the biological activity of recombinant mouse receptor activator of NF-kB ligand (mRANKL) in vivo
Peyer’s patches of small intestine samples were extracted to determine the abundance of mature M cells by measuring the GP2 mRNA expression level. Isolation of RNA and synthesis of cDNA was same as above method. qRT-PCR was conducted using TB Green® Premix Ex TaqTM (Tli RNaseH Plus, Takara Bio) with M cell-specific primers GP2-F:5′-GATACTGCACAGACCCCTCCA-3′; GP2-R:5′- GCAGTTCCGGTCATTGAGGTA-3′ (Kusunose et al., 2020), and primers for the housekeeping gene GAPDH-F:5′-AACTTTGGCATTGTGGAAGGGCTC-3′; GAPDH-R:5′-AAGGCCATGCCAGTG AGCTTC-3′. mRNA levels were normalized to those of GAPDH (Kim et al., 2015).
RNA extraction and sequencing
Nine ileum samples of the same size (1 cm) were extracted from the same position (distal ileum). Total RNA was isolated from the tissues using the Maxwell (Promega) method. One milligram of total RNA was processed to prepare the mRNA sequencing library using the MGIEasy RNA Directional Library Prep Kit (MGI), and sequencing was performed using the MGIseq system.
Bioinformatic analysis of the transcriptome
After a quality check, raw reads were trimmed to 100 bp prior to mapping to the mouse reference genome GRCm38/mm10 using HiSat2 (version 2.1.0; Pertea et al., 2016). Following read alignment, counts assigned to features were computed using the featureCounts (version 2.0.3; Liao et al., 2014). Differentially expressed genes (DEGs) were identified using the DESeq2(v1.24.0; Love et al., 2014). A gene was considered to be a DEG with a fold change>1.45 and adjusted p-value<0.1 using the Benjamini-Hochberg method (Benjamini and Hochberg, 1995). Gene Ontology (GO) enrichment analysis was performed using in-house Perl scripts. The significantly enriched GO terms were determined by Fisher’s exact test with p<0.05 and odds ratio>1.
16S rRNA amplicon sequencing
Genomic DNA was extracted from fecal samples using a NucleoSpin Soil kit (Macherey-Nagel, Düren, Germany) according to the manufacturer’s instructions. DNA samples (5 ng) were used to amplify the 16S ribosomal RNA V4 region using Takara Ex-taq DNA polymerase (Takara Bio) with universal primer sets (Forward:5′-GGACTACHVGGGTWTCTAAT-3′ and R:5′-GTGCCAGCMGCCGCGGTAA-3′; Han et al., 2018). After amplification, all the samples were normalized to 50 ng per sample. A DNA library was then constructed and sequenced using the Illumina MiSeq platform (Illumina, San Diego, CA, USA), generating 2×300 bp paired-end reads.
Bioinformatic analysis of the gut microbiome
To analyze the gut microbiome, de-multiplexed and pre-processed sequence reads were imported into Quantitative Insights Into Microbial Ecology (QIIME2, version 2021.2; Bolyen et al., 2019). Barcode and primer removal, quality control, amplicon sequence data correction, and de-replication, were performed using the DADA2 (Callahan et al., 2016). Feature tables and representative sequence files were merged for downstream analysis using QIIME2. Taxonomic classification was performed using the SILVA 132 database with 99% identity, based on the V4 16S region. All classification was performed within QIIME2 and was assigned using the naïve Bayesian algorithm available in the sklearn python library. For phylogenetic diversity analysis, alpha and beta diversities were calculated using the q2-diversity plugin, and included Faith’s phylogenetic diversity and weighted and unweighted UniFrac distances. Differential abundance analysis of microbiota was performed using an in-house Perl script. We considered a p-value<0.05 to indicate statistical significance.
Calcium assay
Serum samples were collected on the eighth day, and concentration was measured using a Calcium Colorimetric Assay Kit (BioVision, Milpitas, CA, USA).
Statistical analysis
Statistical analysis was performed using an in-house Perl script and R (version 4.1.0) language. One-way analysis of variance (ANOVA) followed by Tukey’s post-hoc test was used for determining statistical significance.
Results
Expression of mouse receptor activator of NF-kB ligand (mRANKL) from recombinant Lactococcus lactis
To confirm the expression of mRANKL, intracellular and secreted proteins were precipitated and analyzed by western blotting. No mRANKL was detected in the wild-type L. lactis samples. In recombinant L. lactis, intracellular and secreted mRANKL proteins were detected with expected size of 23.86 and 20.88 kDa, respectively (Fig. 1B). According to the standard curve, recombinant L. lactis produced 2.1 µg/mL of mRANKL in intracellular fraction (Supplementary Fig. S3).
Physiological characterization of wild type and recombinant Lactococcus lactis
To examine the physiological characteristics of wild type and the recombinant L. lactis, patterns of growth were measured. As shown in Supplementary Fig. S4, recombinant L. lactis showed a slightly delayed growth rate compared to the wild type; after 10 h though, these two strains showed similar growth patterns.
Validation of the biological activity of recombinant mouse receptor activator of NF-kB ligand (mRANKL) in vitro
To validate the biological activity of mRANKL, RAW 264.7 cells were used to observe the stimulation of RANK-RANKL signaling. As shown in Supplementary Fig. S5, treatment with culture media containing commercial RANKL and mRANKL_CE significantly (p<0.05) increased TRAP mRNA expression levels compared with those in the PBS and WT_CE groups.
Validation of the biological activity of recombinant mouse receptor activator of NF-kB ligand (mRANKL) in vivo
Cell extracts containing recombinant mRANKL were orally administered to mice for seven consecutive days, and the expression of mature M cells marker in Peyer’s patches was analyzed by qRT-PCR. As shown in Supplementary Fig. S6, the GP2 mRNA expression levels in the mRANKL_CE group were significantly (p<0.05) higher than those in the PBS and WT_CE groups. In addition, body weight gain was measured between day 1 and day 8 of the experiment, and the results showed that oral administration of WT_CE and mRANKL_CE had no significant effect on body weight (Supplementary Table S1). Our results showed that recombinant mRANKL from recombinant L. lactis is biologically active and does not cause significant changes in body weight.
Gene expression profiling
To compare the gene expression between the PBS, WT_CE, and mRANKL_CE groups, RNA-Seq analysis of the mouse small intestine was performed. The WT_CE and mRANKL_CE groups were compared with the PBS group, with a cut-off fold change>1.45 and adjusted p-value<0.1. No DEGs were identified between the PBS and WT_CE groups. Between the PBS and mRANKL_CE groups, 63 DEGs, including 53 upregulated and 10 downregulated DEGs, were identified (Fig. 2 and Supplementary Table S2). Between the WT_CE and mRANKL_CE groups, 192 DEGs were identified, including 169 upregulated and 23 downregulated DEGs (Supplementary Table S2). These results indicate that cell extracts from WT_CE had no effect on mouse small intestinal gene expression, and only mRANKL had an effect.
Fig. 2. Venn diagram of co-up and co-downregulated genes. (A) Upregulated genes that control (PBS) versus treatment (WT_CE and mRANKL_CE). (B) Downregulated genes that control (PBS) versus treatment (WT_CE and mRANKL_CE). mRANKL_CE, recombinant Lactococcus lactis expressing mouse receptor activator of NF-kB ligand; WT_CE, wild-type L. lactis IL1403; PBS, phosphate buffered saline.
Gene ontology (GO) analysis of differentially expressed genes (DEGs)
To analyze the gene enrichment of DEGs, GO analysis were performed with a threshold of p1. Between the PBS and mRANKL_CE groups, 49 upregulated and 9 downregulated DEGs were annotated with GO terms. The upregulated GO terms included ‘de novo’ protein folding (p<0.001), response to unfolded protein (p<0.001), regulation of bone resorption (p<0.01), heat shock protein binding (p<0.001), and calcium ion binding (p<0.05; Table 1 and Supplementary Table S3). Between the WT_CE and mRANKL_CE groups, 159 upregulated and 22 downregulated DEGs were annotated with GO terms. The upregulated GO terms included calcium ion binding (p<0.001), calmodulin binding (p<0.001), and ‘de novo’ protein folding (p<0.05; Table 2 and Supplementary Table S3).
Table 1. Gene enrichment analysis of DEGs in mouse small intestine that PBS versus mRANKL_CE
DEGs, differentially expressed genes; PBS, phosphate-buffered saline; mRANKL_CE, recombinant Lactococcus lactis expressing mouse receptor activator of NF-kB ligand; GO, gene ontology.
Table 2. Gene enrichment analysis of DEGs in mouse small intestine that WT_CE versus mRANKL_CE
DEGs, differentially expressed genes; WT_CE, wild-type Lactococcus lactis IL1403; mRANKL_CE, recombinant L. lactis expressing mouse receptor activator of NF-kB ligand; GO, gene ontology.
Gut microbial diversity
To compare the gut microbial diversity, the alpha and beta diversities of the three groups from normalized microbiome sequencing reads were investigated. For alpha diversity, three indices including observed features, Shannon and Faith’s phylogenetic diversity (Faith PD) were measured. None of the three indices showed any significant differences among the three groups (Supplementary Fig. S7). For beta diversity, principal coordinate analysis (PCoA) of unweighted and weighted UniFrac distances was performed. There were no significant differences among the three groups (Supplementary Fig. S8).
Gut microbial composition
To compare the differences in major gut microbial taxa among the three groups, the microbial composition in these three groups were examined. The overall microbial composition in the gut was not significantly different among the three groups. However, the genera Lactobacillus (p<0.05), Sphingomonas (p<0.01) and Acinetobacter (p<0.01) differed significantly (Fig. 3 and Supplementary Table S4). Moreover, there was no significant difference among the three groups in the genus Lactococcus (Fig. 3 and Supplementary Table S4). These results showed that feeding cell extracts with or without mRANKL did not have a significant effect on the gut microbiome.
Fig. 3. The relative abundance (%) of genus among that PBS, WT_CE and mRANKL_CE three groups. (A) Lactococcus. (B) Lactobacillus. (C) Sphingomonas. (D) Bacteroides. For significance tests, a one-way analysis of variance (ANOVA) followed by Tukey’s post-hoc test were used. PBS, phosphate buffered saline; WT_CE, wild-type Lactococcus lactis IL1403; mRANKL_CE, recombinant L. lactis expressing mouse receptor activator of NF-kB ligand.
Calcium assay
After RANKL administration, serum calcium levels were measured to compare the changes in calcium concentration among the three groups. There was no significant difference in serum calcium levels among the three groups (Supplementary Fig. S5).
Discussion
Many recombinant microorganisms are widely used in food, chemical, and pharmaceutical industries today (Khan et al., 2016). The direct use of LMOs poses potential risks to the environment, humans, and animals (Prakash et al., 2011).
LAB are traditionally used in fermentation and food preservation, and are recognized as safe for consumption. In particular, L. lactis has been engineered as a live vehicle for the delivery of DNA vaccines and production of therapeutic biomolecules (Tavares et al., 2020). In bacterial cell extracts study, cell extracts from recombinant L. lactis expressing SARS-CoV-2 spike protein were used to oral immunize mice, and antigen-specific antibodies were produced from immunized mice (Xuan et al., 2022). L. lactis IL1403 is a representative laboratory strain that can be used to produce recombinant heterologous proteins (Tavares et al., 2020), and there is no evidence to date that metabolites of L. lactis IL1403 are toxic to experimental animals. Moreover, use of cell-free extracts removes the risk of LMOs being released into the environment. Our results demonstrated that cell extracts containing mRANKL from recombinant L. lactis IL1403 can differentiate RAW 264.7 cells into osteoclast-like cells (Supplementary Fig. S5) and increase the number of mature M cells in mice (Supplementary Fig. S6). In addition, in the transcriptome analysis, no DEGs were found between PBS and WT_CE groups; while DEGs were found between PBS and mRANKL_CE groups. These results indicate that WT_CE has no effect on mouse small intestinal transcriptome, whereas mRANKL does have an effect. Moreover, RANKL not only affects the differentiation of M cells, but also affects other RANKL signal-responsive cells (Kukita and Kukita, 2013). Knoop et al. (2009) demonstrated not only GALT expressed RANK in mice (Knoop et al., 2009). Heat shock proteins are a family of proteins produced by cells in response to stress, and they positively regulate osteoclastic bone resorption through the RANKL-RANK signaling pathway (Hang et al., 2018). In this study, genes associated with heat shock protein binding and regulation of bone resorption were found to be upregulated in the mRANKL_CE group. Calcium signaling plays a significant role in osteoclastogenesis; the RANKL receptor utilizes calcium signaling to drive osteoclast differentiation (Komarova et al., 2003), and genes associated with calcium ion binding were found to be upregulated in the mRANKL_CE group. Additionally, SLIT3 was found to be co-upregulated in the mRANKL_CE group compared to its expression in the PBS (adjusted p<0.1) and WT_CE (adjusted p<0.1) groups (Supplementary Table S2). SLIT3 expression increases during osteoclast differentiation (Koh, 2018). In addition, bone remodeling-associated genes ZBTB16 (vs. PBS, adjusted p<0.001; vs. WT_CE, adjusted p<0.01) and ZBTB40 (vs. PBS, adjusted p<0.01; vs. WT_CE, adjusted p<0.1) were found to be co-upregulated in the mRANKL_CE group (Supplementary Table S2; Felthaus et al., 2014; Twine et al., 2016). However, no study so far has investigated whether an increase in RANKL levels in the intestine causes bone resorption. Since the cell extracts of the host producing recombinant proteins do not appear to have any effect on experimental animals, this strategy may be an alternative to the use of live cells. The well-known signal peptide USP45 is located at the upstream of the target protein and its secretion is relatively low. Improving the secretion yield of target proteins in cell-free culture supernatant, can be a good alternative to the direct use of LMOs.
Recently, some studies have used postbiotics replace the live bacteria to improve the intestinal environment; postbiotics are defined as “non-viable bacterial products or metabolic products from microorganisms that have biological activity in the host” (Nataraj et al., 2020; Siciliano et al., 2021). Postbiotics contain a wide range of molecules, including peptidoglycans, surface proteins, cell wall polysaccharides, secreted proteins, bacteriocins, and organic acids, which can have positive effects on the host, including immunomodulatory, antitumor, antimicrobial, and barrier preservation effects (Nataraj et al., 2020; Teame et al., 2020). In our study, bacterial crude cell extracts had no adverse effect on the host, but exogenous proteins had favorable effects. Hence, exogenous protein can be produced by probiotics, and the cell extract can then be used for therapeutic or other purposes. Also, the crude cell extracts can be used directly, without the need for purification (Taghinezhad-S et al., 2021).
There have been many recent studies on the host-microbiome interactions in postbiotics (Nataraj et al., 2020; Peluzio et al., 2021; Siciliano et al., 2021; Teame et al., 2020). However, there have been no studies on the state of intestinal microbiome after intake of live recombinant LAB or its cell extracts. In this study, NGS were used to characterize how cell extracts of wild-type or recombinant L. lactis affected the gut microbiome. Although there was no significant change in the gut microbiome, the abundances of several genera were significantly different (Fig. 3 and Supplementary Table S4). RANKL stimulates the differentiation of monocyte / macrophage precursor cells into osteoclasts, and overexpression of RANKL resulting in bone erosion in rheumatoid arthritis (RA; Tanaka, 2019). The abundance of Lactobacillus is significantly higher in patients with RA than in healthy controls (Li et al., 2021). Our results also showed that the abundance of Lactobacillus was significantly (p<0.05) higher in the mRANKL_CE group. The abundance of Sphingomonas was also significantly (p<0.01) higher in the mRANKL_CE group. Eriksson et al. (2022) showed that Sphingomonas abundance was positively correlated with RA (Eriksson et al., 2022). Another RA-related genus, Bacteroides, showed decreased abundance in the mRANKL_CE group, although the difference was not significant. In addition, the abundance of Bacteroides was decreased in patients with RA compared with its abundance in the healthy controls (Wang et al., 2022). These results may indicate changes in abundances of specific microbes caused by excessive RANKL in the intestine. One diagnostic marker in RA patients is a higher serum calcium concentration than that in the healthy controls (Tawfik et al., 2019). In addition, an increase in RANKL levels in the bone microenvironment leads to bone resorption and increased calcium release (Ono et al., 2020). Our result indicated no significant differences in serum calcium levels among the three groups (Supplementary Table S5). Moreover, the abundance of Lactococcus, which was used as the host for the production of mRANKL, was not significantly different among the three groups (Fig. 3). This indicates that the cell extracts of L. lactis did not elicit an immune response, which may be because Lactococcus is a natural inhabitant of the mouse gut. Our results indicate that the cell extracts of L. lactis did not have a significant impact on the mouse gut microbiome.
Conclusion
In summary, the cell extracts containing mRANKL from recombinant L. lactis are biologically active both in vitro and in vivo, and the cell extracts from WT_CE did not affect intestinal transcriptome. In addition, there was no significant change in the gut microbiome after administration of cell extracts of WT_CE or recombinant L. lactis. This strategy could potentially be used for the development of protein drugs.
Supplementary Materials
Supplementary materials are only available online from: https://doi.org/10.5851/kosfa.2022.e54.
Conflicts of Interest
The authors declare no potential conflicts of interest.
Acknowledgements
This work was supported by the National Research Foundation of Korea (NRF; 2019R1A2C1009406). Biao Xuan was supported by the BK21 Plus Program of the Ministry of Education.
Author Contributions
Conceptualization: Kim EB. Data curation: Xuan B, Park J, Kim EB. Formal analysis: Xuan B, Park J, Kim EB. Methodology: Xuan B, Lee GS, Kim EB. Software: Xuan B, Park J, Kim EB. Validation: Xuan B, Kim EB. Investigation: Kim EB. Writing - original draft: Xuan B, Park J, Kim EB. Writing - review & editing: Xuan B, Park J, Lee GS, Kim EB.
Ethics Approval
The animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC approval number: KW-190605-1) at Kangwon National University.
참고문헌
- Benjamini Y, Hochberg Y. 1995. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc Ser B 57:289-300.
- Bolyen E, Rideout JR, Dillon MR, Bokulich NA, Abnet CC, Al-Ghalith GA, et al. 2019. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol 37:852-857. https://doi.org/10.1038/s41587-019-0209-9
- Callahan BJ, McMurdie PJ, Rosen MJ, Han AW, Johnson AJA, Holmes SP. 2016. DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods 13:581-583. https://doi.org/10.1038/nmeth.3869
- Eriksson K, Lundmark A, Delgado LF, Hu YOO, Fei G, Lee L, Fei C, Catrina AI, Jansson L, Andersson AF, Yucel-Lindberg T. 2022. Salivary microbiota and host-inflammatory responses in periodontitis affected individuals with and without rheumatoid arthritis. Front Cell Infect Microbiol 12:841139.
- Felthaus O, Gosau M, Morsczeck C. 2014. ZBTB16 induces osteogenic differentiation marker genes in dental follicle cells independent from RUNX2. J Periodontol 85:e144-e151. https://doi.org/10.1902/jop.2013.130445
- Ferrer-Miralles N, Villaverde A. 2013. Bacterial cell factories for recombinant protein production; expanding the catalogue. Microb Cell Fact 12:113.
- Foussat A, Balabanian K, Amara A, Bouchet-Delbos L, Durand-Gasselin I, Baleux F, Couderc J, Galanaud P, Emilie D. 2001. Production of stromal cell-derived factor 1 by mesothelial cells and effects of this chemokine on peritoneal B lymphocytes. Eur J Immunol 31:350-359. https://doi.org/10.1002/1521-4141(200102)31:2<350::AID-IMMU350>3.0.CO;2-0
- Han GG, Lee JY, Jin GD, Park J, Choi YH, Kang SK, Chae BJ, Kim EB, Choi YJ. 2018. Tracing of the fecal microbiota of commercial pigs at five growth stages from birth to shipment. Sci Rep 8:6012.
- Hang K, Ye C, Chen E, Zhang W, Xue D, Pan Z. 2018. Role of the heat shock protein family in bone metabolism. Cell Stress Chaperones 23:1153-1164. https://doi.org/10.1007/s12192-018-0932-z
- Hoover DM, Lubkowski J. 2002. DNAWorks: An automated method for designing oligonucleotides for PCR-based gene synthesis. Nucleic Acids Res 30:e43.
- Kanaya T, Hase K, Takahashi D, Fukuda S, Hoshino K, Sasaki I, Hemmi H, Knoop KA, Kumar N, Sato M, Katsuno T, Yokosuka O, Toyooka K, Nakai K, Sakamoto A, Kitahara Y, Jinnohara T, McSorley SJ, Kaisho T, Williams IR, Ohno H. 2012. The Ets transcription factor Spi-B is essential for the differentiation of intestinal microfold cells. Nat Immunol 13:729-736. https://doi.org/10.1038/ni.2352
- Khan S, Ullah MW, Siddique R, Nabi G, Manan S, Yousaf M, Hou H. 2016. Role of recombinant DNA technology to improve life. Int J Genomics 2016:2405954.
- Kim EB, Piao DC, Son JS, Choi YJ. 2009. Cloning and characterization of a novel tuf promoter from Lactococcus lactis subsp. lactis IL1403. Curr Microbiol 59:425-431. https://doi.org/10.1007/s00284-009-9455-2
- Kim JI, Park TE, Maharjan S, Li HS, Lee HB, Kim IS, Piao D, Lee JY, Cho CS, Bok JD, Hong ZS, Kang SK, Choi YJ. 2015. Soluble RANKL expression in Lactococcus lactis and investigation of its potential as an oral vaccine adjuvant. BMC Immunol 16:71.
- Knoop KA, Kumar N, Butler BR, Sakthivel SK, Taylor RT, Nochi T, Akiba H, Yagita H, Kiyono H, Williams IR. 2009. RANKL is necessary and sufficient to initiate development of antigen-sampling M cells in the intestinal epithelium. J Immunol 183:5738-5747. https://doi.org/10.4049/jimmunol.0901563
- Koh JM. 2018. Osteoclast-derived SLIT3 is a coupling factor linking bone resorption to bone formation. BMB Rep 51:263-264. https://doi.org/10.5483/BMBRep.2018.51.6.109
- Komarova SV, Pilkington MF, Weidema AF, Dixon SJ, Sims SM. 2003. RANK ligand-induced elevation of cytosolic Ca2+ accelerates nuclear translocation of nuclear factor κB in osteoclasts. J Biol Chem 278:8286-8293. https://doi.org/10.1074/jbc.M206421200
- Kukita A, Kukita T. 2013. Multifunctional properties of RANKL/RANK in cell differentiation, proliferation and metastasis. Future Oncol 9:1609-1622. https://doi.org/10.2217/fon.13.115
- Kunisawa J, Nochi T, Kiyono H. 2008. Immunological commonalities and distinctions between airway and digestive immunity. Trends Immunol 29:505-513. https://doi.org/10.1016/j.it.2008.07.008
- Kusunose N, Tsuruta A, Hamamura K, Tsurudome Y, Yoshida Y, Akamine T, Matsunaga N, Koyanagi S, Ohdo S. 2020. Circadian expression of glycoprotein 2 (Gp2) gene is controlled by a molecular clock in mouse Peyer's patches. Genes Cells 25:270-278. https://doi.org/10.1111/gtc.12758
- Li Y, Zhang SX, Yin XF, Zhang MX, Qiao J, Xin XH, Chang MJ, Gao C, Li YF, Li XF. 2021. The gut microbiota and its relevance to peripheral lymphocyte subpopulations and cytokines in patients with rheumatoid arthritis. J Immunol Res 2021:6665563.
- Liao Y, Smyth GK, Shi W. 2014. FeatureCounts: An efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30:923-930. https://doi.org/10.1093/bioinformatics/btt656
- Linares DM, Kok J, Poolman B. 2010. Genome sequences of Lactococcus lactis MG1363 (revised) and NZ9000 and comparative physiological studies. J Bacteriol 192:5806-5812. https://doi.org/10.1128/JB.00533-10
- Love MI, Huber W, Anders S. 2014. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 15:550.
- Nataraj BH, Ali SA, Behare PV, Yadav H. 2020. Postbiotics-parabiotics: The new horizons in microbial biotherapy and functional foods. Microb Cell Fact 19:168.
- Ono T, Hayashi M, Sasaki F, Nakashima T. 2020. RANKL biology: Bone metabolism, the immune system, and beyond. Inflamm Regen 40:2.
- Pedersen MB, Iversen SL, Sorensen KI, Johansen E. 2005. The long and winding road from the research laboratory to industrial applications of lactic acid bacteria. FEMS Microbiol Rev 29:611-624. https://doi.org/10.1016/j.femsre.2005.04.001
- Peluzio MCG, Martinez JA, Milagro FI. 2021. Postbiotics: Metabolites and mechanisms involved in microbiota-host interactions. Trends Food Sci Technol 108:11-26. https://doi.org/10.1016/j.tifs.2020.12.004
- Pertea M, Kim D, Pertea GM, Leek JT, Salzberg SL. 2016. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat Protoc 11:1650-1667. https://doi.org/10.1038/nprot.2016.095
- Prakash D, Verma S, Bhatia R, Tiwary BN. 2011. Risks and precautions of genetically modified organisms. ISRN Ecol 2011:369573.
- Puetz J, Wurm FM. 2019. Recombinant proteins for industrial versus pharmaceutical purposes: A review of process and pricing. Processes 7:476.
- Siciliano RA, Reale A, Mazzeo MF, Morandi S, Silvetti T, Brasca M. 2021. Paraprobiotics: A new perspective for functional foods and nutraceuticals. Nutrients 13:1225. https://doi.org/10.3390/nu13010075
- Song AAL, In LLA, Lim SHE, Rahim RA. 2017. A review on Lactococcus lactis: From food to factory. Microb Cell Fact 16:55.
- Taghinezhad-S S, Mohseni AH, Bermudez-Humaran LG, Casolaro V, Cortes-Perez NG, Keyvani H, Simal-Gandara J. 2021. Probiotic-based vaccines may provide effective protection against COVID-19 acute respiratory disease. Vaccines 9:466.
- Tanaka S. 2019. RANKL is a therapeutic target of bone destruction in rheumatoid arthritis. F1000Res 8:533.
- Tavares LM, de Jesus LCL, da Silva TF, Barroso FAL, Batista VL, Coelho-Rocha ND, Azevedo V, Drumond MM, ManchaAgresti P. 2020. Novel strategies for efficient production and delivery of live biotherapeutics and biotechnological uses of Lactococcus lactis: The lactic acid bacterium model. Front Bioeng Biotechnol 8:517166.
- Tawfik NAE, Abozaid SY, Althoqapy AA, Elsheikh AAE, Ahmed RM. 2019. Anti-mutated citrullinated vimentin antibodies (anti-MCV): A relation with other diagnostic markers in rheumatoid arthritis patients. Clin Med Diagn 9:61-67. https://doi.org/10.12677/MD.2019.92012
- Teame T, Wang A, Xie M, Zhang Z, Yang Y, Ding Q, Gao C, Olsen RE, Ran C, Zhou Z. 2020. Paraprobiotics and postbiotics of probiotic Lactobacilli, their positive effects on the host and action mechanisms: A review. Front Nutr 7:570344.
- Twine NA, Harkness L, Kassem M, Wilkins MR. 2016. Transcription factor ZNF25 is associated with osteoblast differentiation of human skeletal stem cells. BMC Genomics 17:872.
- van Asseldonk M, de Vos WM, Simons G. 1993. Functional analysis of the Lactococcus lactis USP45 secretion signal in the secretion of a homologous proteinase and a heterologousα-amylase. Mol Gen Genet 240:428-434. https://doi.org/10.1007/BF00280397
- Wang Q, Zhang SX, Chang MJ, Qiao J, Wang CH, Li XF, Yu Q, He PF. 2022. Characteristics of the gut microbiome and its relationship with peripheral CD4(+) T cell subpopulations and cytokines in rheumatoid arthritis. Front Microbiol 13:799602.
- Xuan B, Park J, Yoo JH, Kim EB. 2022. Oral immunization of mice with cell extracts from recombinant Lactococcus lactis expressing SARS-CoV-2 spike protein. Curr Microbiol 79:167.