Characteristics of Gut Microbiota in Children With Biliary Atresia After Liver Transplantation

Background and AimsBiliary atresia (BA) is an idiopathic neonatal cholestasis and is the most common indication in pediatric liver transplantation (LT). Previous studies have suggested that the gut microbiota (GM) in BA is disordered. However, the effect of LT on gut dysbiosis in patients with BA has not yet been elucidated.MethodsPatients with BA (n = 16) and healthy controls (n = 10) were recruited. In the early life of children with BA, Kasai surgery is a typical procedure for restoring bile flow. According to whether BA patients had previously undergone Kasai surgery, we divided the post-LT patients into the with-Kasai group (n = 8) and non-Kasai group (n = 8). Fecal samples were collected in both the BA and the control group; among BA patients, samples were obtained again 6 months after LT. A total of 40 fecal samples were collected, of which 16 were pre-LT, 14 were post-LT (8 were with-Kasai, 6 were non-Kasai), and 10 were from the control group. Metagenomic sequencing was performed to evaluate the GM.ResultsThe Kruskal-Wallis test showed a statistically significant difference in the number of genes between the pre-LT and the control group, the pre-LT and the post-LT group (P < 0.05), but no statistical difference between the post-LT and the control group. Principal coordinate analysis also showed that the microbiome structure was similar between the post-LT and control group (P > 0.05). Analysis of the GM composition showed a significant decrease in Serratia, Enterobacter, Morganella, Skunalikevirus, and Phifllikevirus while short chain fatty acid (SCFA)-producing bacteria such as Roseburia, Blautia, Clostridium, Akkermansia, and Ruminococcus were increased after LT (linear discriminant analysis > 2, P < 0.05). However, they still did not reach the normal control level. Concerning functional profiles, lipopolysaccharide metabolism, multidrug resistance, polyamine biosynthesis, GABA biosynthesis, and EHEC/EPEC pathogenicity signature were more enriched in the post-LT group compared with the control group. Prior Kasai surgery had a specific influence on the postoperative GM.ConclusionLT partly improved the GM in patients with BA, which provided new insight into understanding the role of LT in BA.

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Oatmeal induced gut microbiota alteration and its relationship with improved lipid profiles: a secondary analysis of a randomized clinical trial

Nutrition & Metabolism ◽

10.1186/s12986-020-00505-4 ◽

2020 ◽

Vol 17 (1) ◽

Author(s):

Mengyao Ye ◽

Jianqin Sun ◽

Yanqiu Chen ◽

Qian Ren ◽

Zhen Li ◽

...

Keyword(s):

Clinical Trial ◽

Gut Microbiota ◽

Positive Response ◽

Secondary Analysis ◽

Lipid Profiles ◽

Procrustes Analysis ◽

Fecal Samples ◽

Linear Discriminant ◽

Significant Difference ◽

Firmicutes Phylum

Abstract Background In vitro and animal experiments reported a microbiota-regulating ability of oatmeal, however, related in vivo evidences remained limited. Thus, we conducted this study aiming to investigate the oatmeal-induced alteration of gut microbiota and its potential relationship with the improvements of lipid profiles. Methods and study design Data of anthropometric measurements and biochemical parameters were extracted from a randomized, controlled clinical trial, in which 62 hypercholesterolemic men and women (18–65 years old) were provided with either treatment of 80 g/day oatmeal or 80 g/day refined white rice for 45 days. Fasting blood samples and fecal samples were collected both at baseline and endpoint of the study for lipid profiling and microbiota 16S rRNA amplicon sequencing, respectively. Results Totally 28 participants (56 fecal samples) qualified with the new criteria and were thus included in this secondary analysis. The results of microbiota analysis showed that no significant difference was observed in the alteration of its overall α or β diversity between two groups throughout the study. Nor did any notable between-group difference was found in the relative abundance changes of microorganism at different taxonomies. However, results from linear discriminant analysis effect size in the oatmeal group indicated a significant positive response of Firmicutes phylum following oatmeal consumption. Further Procrustes analysis suggested a concordance trend between microorganism alteration and alleviation of hypercholesterolemia phenotypes throughout the study (P = 0.05). The results of within-group comparison from Spearman’s correlation in the oatmeal group demonstrated a significant association between the enrichment of Blautia genus and the reduction of serum total cholesterol (P < 0.05), low-density lipoprotein cholesterol (P < 0.01), and apolipoprotein B (P < 0.05). Conclusions Positive response of Firmicutes phylum might be a critical characteristic of oatmeal-induced alteration of microbiota, whereas, one of the underlying cholesterol-lowering mechanism of oatmeal consumption might be its microbiota-manipulating ability, in which the enrichment of Blautia genus played a potentially significant role. Current results should be taken cautiously and more studies were needed for further verification. Trial registration: ChiCTR, ChiCTR180001864. Registered 30 September 2018, http://www.chictr.org.cn/showproj.aspx?proj=31469.

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Chronic Jet Lag Exacerbates Jejunal and Colonic Microenvironment in Mice

Frontiers in Cellular and Infection Microbiology ◽

10.3389/fcimb.2021.648175 ◽

2021 ◽

Vol 11 ◽

Author(s):

Qing Li ◽

Bo Wang ◽

Hong-Yi Qiu ◽

Xiu-Juan Yan ◽

Li Cheng ◽

...

Keyword(s):

Circadian Rhythm ◽

16S Rrna ◽

Gut Microbiota ◽

Gut Microbiome ◽

Circadian Disruption ◽

Control Group ◽

Jet Lag ◽

Metabolome Analysis ◽

Fecal Samples ◽

Significant Difference

BackgroundEvidence suggests that circadian rhythm disorder is associated with a variety of gastrointestinal diseases, and the circadian rhythm plays a key role in maintaining the homeostasis of intestinal flora. The underlying mechanisms are still not completely identified. This study was aimed to explore whether jet lag-caused circadian disruption influences gut microbiome and its metabolites.MethodsMice were synchronized with 12-h light/dark cycles (control group) or subjected to daily 8-h advance of the light/dark cycle for every 3 days (jet-lagged group). Four months later, fecal samples and jejunal contents were collected and analyzed by 16S rRNA gene sequencing. In addition, fecal samples were subjected to metabolome analysis with ultra-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS).ResultsThe results of 16s rRNA sequencing showed that chronic jet lag led to decreased microbial abundance, richness, and diversity in both feces and jejunal contents. ANOSIM analysis revealed significant difference between control and jet-lagged groups. As the colonic microbiome, the abundance of Bacteroidetes phylum was significantly decreased and that of Actinobacteria phylum was increased in jet-lagged mice. Jet lag increased the ratio of Firmicutes to Bacteroidetes, an indicator for the imbalance of gut microbiota. Metabolome analysis of fecal samples showed that the levels of tryptophan and its derivatives were decreased in jet-lagged mice. In addition, fecal levels of secondary bile acids changed under jet lag conditions. Correlation analysis identified associations between tryptophan (and its derivatives) levels and colonic microbiota.ConclusionsThis study presents a comprehensive landscape of gut microbiota and its metabolites in mice subjected to chronic jet lag. The results suggest that circadian disruption may lead to changes in fecal and jejunal microbiota and fecal metabolites. Moreover, our results demonstrate a novel interplay between the gut microbiome and metabolome.

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Influence of periodontal treatment on blood microbiotas: a clinical trial

PeerJ ◽

10.7717/peerj.10846 ◽

2021 ◽

Vol 9 ◽

pp. e10846

Author(s):

Wenyi Zhang ◽

Yang Meng ◽

Jin Jing ◽

Yingtao Wu ◽

Shu Li

Keyword(s):

Bacterial Species ◽

Periodontal Treatment ◽

Control Group ◽

Total Bacterial Count ◽

Linear Discriminant ◽

Air Polishing ◽

Α Diversity ◽

Significant Difference ◽

Group A ◽

Blood Microbiota

Objective To investigate the effects of periodontal treatment on the abundance and diversity of blood microbiota. Methods and Materials Twenty-seven periodontitis patients were randomly allocated to a control group (A) and two test groups (B1 and B2). Group A patients received full-mouth scaling and root planing (SRP), group B1 patients received subgingival glycine air polishing (GAP) right after SRP, and group B2 patients received subgingival glycine air polishing right before SRP. Peripheral blood samples were obtained at the baseline, the day after periodontal treatment, and 6 weeks after treatment and evaluated using nested polymerase chain reaction and 16SrRNA Gene Sequencing (Miseq platform). Results All participants exhibited significant improvements in the clinical parameters evaluated at the 6-week follow-up visit compared to the values at the baseline, but no significant differences were observed between the three groups. The total bacterial count was lowest in group B2. The bacterial species diversity (α-diversity) in group B1 was significantly higher (Chao-1 index, P = 0.03) and Porphyromonas and Pantoea were the dominant genera (linear discriminant analysis (LDA > 2)) in this group the day after treatment compared to the baseline. No significant difference was detected in the relative abundance and α-diversity of blood microbiota between the baseline and 6 weeks after treatment. Conclusion Local periodontal treatment merely disrupts the stability of blood microbiota in the short term. Periodontitis treatment using full-mouth SRP followed by adjunctive GAP is a promising approach to reduce the introduction of bacteria into the bloodstream during the procedure.

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Intrauterine Hypoxia Changed the Colonization of the Gut Microbiota in Newborn Rats

Frontiers in Pediatrics ◽

10.3389/fped.2021.675022 ◽

2021 ◽

Vol 9 ◽

Author(s):

Yan Sun ◽

Lei Li ◽

Jiayu Song ◽

Wei Mao ◽

Kaihao Xiao ◽

...

Keyword(s):

Species Richness ◽

Gut Microbiota ◽

Biological Information ◽

Control Group ◽

Neonatal Rats ◽

Newborn Rats ◽

Β Diversity ◽

Significant Difference ◽

Intrauterine Hypoxia ◽

Abundance And Diversity

Background: Accumulating evidence suggests a connection between the gut microbiota and neonatal diseases. Hypoxia may play an important role in the intestinal lesions in neonates.Objective: This study aims to determine whether the gut microbiota differs between intrauterine hypoxic rats and healthy controls and to identify the factors that influence the changes in the gut microbiota.Methods: We constructed an intrauterine hypoxia model in rats and collected the intestinal contents of intrauterine hypoxic newborn rats and normal newborn rats within 4 h and on the seventh day after birth. They were divided them into the intrauterine hypoxia first-day group (INH1), intrauterine hypoxia seventh-day group (INH7), normal first-day group (NOR1), and normal seventh-day group (NOR7). The contents of the intestines were sequenced with 16S rRNA sequencing, the sequencing results were analyzed for biological information, and the differences in the diversity, richness, and individual taxa among the groups were analyzed.Results: The abundance of the gut microbiota of neonatal rats with intrauterine hypoxia was higher than that of the control group rats. Intrauterine hypoxia altered the structural composition of the gut microbiota in neonatal rats. The INH1 group showed increased species richness, phylogenetic diversity, and β-diversity, and altered relative abundance in several taxa compared to those in the control group. The differences in the microbiota among the four groups were significantly higher than those within the group, and the differences in the abundance and diversity of the INH7 and NOR7 groups decreased after 7 days of suckling. Functional analysis based on the Cluster of Orthologous Groups (COG) suggested that 23 functional COG categories. There was no significant difference in the functional categories between the hypoxia group and the normal group.Conclusion: Intrauterine hypoxia changed the initial colonization of the gut microbiota in neonatal rats. It could increase the species richness and β-diversity of the gut microbiota, and altered relative abundances of several taxa.

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Microbiota and epigenetic regulation of inflammatory mediators in type 2 diabetes and obesity

Beneficial Microbes ◽

10.3920/bm2013.006 ◽

2014 ◽

Vol 5 (1) ◽

pp. 33-43 ◽

Cited By ~ 72

Author(s):

M. Remely ◽

E. Aumueller ◽

D. Jahn ◽

B. Hippe ◽

H. Brath ◽

...

Keyword(s):

Metabolic Syndrome ◽

Lactic Acid ◽

Lactic Acid Bacteria ◽

Gut Microbiota ◽

Epigenetic Regulation ◽

Control Group ◽

Low Grade ◽

Type 2 Diabetics ◽

Significant Difference

Metabolic syndrome is associated with alterations in the structure of the gut microbiota leading to low-grade inflammatory responses. An increased penetration of the impaired gut membrane by bacterial components is believed to induce this inflammation, possibly involving epigenetic alteration of inflammatory molecules such as Toll-like receptors (TLRs). We evaluated changes of the gut microbiota and epigenetic DNA methylation of TLR2 and TLR4 in three groups of subjects: type 2 diabetics under glucagon-like peptide-1 agonist therapy, obese individuals without established insulin resistance, and a lean control group. Clostridium cluster IV, Clostridium cluster XIVa, lactic acid bacteria, Faecalibacterium prausnitzii and Bacteroidetes abundances were analysed by PCR and 454 high-throughput sequencing. The epigenetic methylation in the regulatory region of TLR4 and TLR2 was analysed using bisulfite conversion and pyrosequencing. We observed a significantly higher ratio of Firmicutes/ Bacteroidetes in type 2 diabetics compared to lean controls and obese. Major differences were shown in lactic acid bacteria, with the highest abundance in type 2 diabetics, followed by obese and lean participants. In comparison, F. prausnitzii was least abundant in type 2 diabetics, and most abundant in lean controls. Methylation analysis of four CpGs in the first exon of TLR4 showed significantly lower methylation in obese individuals, but no significant difference between type 2 diabetics and lean controls. Methylation of seven CpGs in the promoter region of TLR2 was significantly lower in type 2 diabetics compared to obese subjects and lean controls. The methylation levels of both TLRs were significantly correlated with body mass index. Our data suggest that changes in gut microbiota and thus cell wall components are involved in the epigenetic regulation of inflammatory reactions. An improved diet targeted to induce gut microbial balance and in the following even epigenetic changes of pro-inflammatory genes may be effective in the prevention of metabolic syndrome.

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Effects of Short-Term Metformin Treatment on Gut Microbiota Profile Using Female Obese Zucker Rat Model

Current Developments in Nutrition ◽

10.1093/cdn/nzab055_023 ◽

2021 ◽

Vol 5 (Supplement_2) ◽

pp. 1213-1213

Author(s):

Reza Hakkak ◽

Chris Randolph ◽

Sirish Bennuri ◽

Michael Robeson

Keyword(s):

Gut Microbiota ◽

Rat Model ◽

Zucker Rats ◽

Metformin Treatment ◽

Zucker Rat ◽

Short Term ◽

Fecal Samples ◽

Obese Zucker Rat ◽

Significant Difference ◽

Obese Control

Abstract Objectives The correlation of short-term metformin treatment and specific alterations to the gut microbiota in obese models is less known. So, the objectives of this experiment was to investigate the effects of short-term metformin treatment on population of gut microbiota profile in obese rat model. Methods Five week old obese (n = 16) female Zucker rats after one week of acclimation, received AIN-93 G diet for 8 weeks and then rats were randomly assigned 8 rats/group): to 1) obese without metformin (ObC), or 2) obese with metformin (ObMet). Metformin were mixed with AIN-93G diet at 1000 mg/kg of diet. Rats were weighed twice per week. All rats were sacrificed 10 weeks post-metformin treatment and fecal samples were collected and kept at − 80c. Total microbial DNA were collected directly from the fecal samples using a PowerSoil® DNA isolation kit. Isolated DNA were used for shotgun-metagenomics data collection using Illumina NextSeq500 and analyzed using MetaPlAn and HUMAnN. DEICODE and Songbird used calculate log-ratios and differential ranks of taxa and functional pathways associated with metformin treatment respectively. The were then visualized using Qurro. Results There was no significant difference between ObC vs. ObMet group body weight (P = 0.20). Overall microbial beta-diversity (DEICODE), showed significant separation between the obese control and metformin samples (P = 0.0007). Differential ranking (Songbird) of Bacteroides dorei and B. massiliensis vs. all other Bacteroides spp., revealed that B. dorei and B. massiliensis were enriched in the obese metformin group, while the remaining Bacteroides spp. where enriched in the obese control group (P = 0.002). The differential ranking of pathway diversity contributed by the Bacteroides were also associated with treatment group (P = 0.008). Conclusions In summary, in the obese zucker rat model, short-term metformin treatment changes the gut microbiota profile. Funding Sources Arkansas Biosciences Institute.

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Effects of Xylo-Oligosaccharide on the Gut Microbiota of Patients With Ulcerative Colitis in Clinical Remission

Frontiers in Nutrition ◽

10.3389/fnut.2021.778542 ◽

2021 ◽

Vol 8 ◽

Author(s):

Zongwei Li ◽

Zhengpeng Li ◽

Liying Zhu ◽

Ning Dai ◽

Gang Sun ◽

...

Keyword(s):

Ulcerative Colitis ◽

Gut Microbiota ◽

Healthy Volunteers ◽

Clinical Remission ◽

Principal Component ◽

Fecal Samples ◽

Linear Discriminant ◽

Wilcoxon Rank Sum Test ◽

Rdna Sequencing

Gut microbiota dysbiosis is closely associated with ulcerative colitis (UC). Prebiotic therapy is a potential approach for UC management especially remission maintaining. Xylo-oligosaccharide (XOS) is an efficient prebiotic with proven health benefits and few side effects. However, the effects of XOS on the gut microbiota of patients with UC have not been investigated previously. The aim of this study was to evaluate the prebiotic effects of XOS on the fecal microbiota of patients with UC in clinical remission using an in vitro fermentation model. Five patients with UC in clinical remission and five healthy volunteers were enrolled in this study. Fresh fecal samples of UC patients were diluted and inoculated in yeast extract, casitone and fatty acid (YCFA) medium alone or with XOS. After fermentation for 48 h, samples were collected for 16S rDNA sequencing to investigate the gut microbiota composition. Differences in the gut microbiota between healthy volunteers and UC patients in clinical remission were detected using original fecal samples. Subsequently, the differences between the YCFA medium alone or with XOS samples were analyzed to illustrate the effects of XOS on the gut microbiota of UC patients. In both principal coordinate analysis (PCoA) and principal component analysis (PCA), the fecal samples of UC patients differed from those of healthy volunteers. Linear discriminant analysis effect size (LEfSe) analysis revealed that the relative abundances of g_Roseburia and g_Lachnospiraceae_ND3007_group were higher in healthy volunteers than in UC patients, while o_Lactobacillales abundance showed the opposite trend (P < 0.05). Wilcoxon rank-sum test bar plot showed that the abundances of g_Eubacterium_halli_group and g_Lachnospiraceae_ND3007_group were higher in the healthy volunteers than in the UC patients (P < 0.05). In addition, in UC patients, the Wilcoxon rank-sum test showed that XOS fermentation promoted the growth of bacterial groups including g_Roseburia, g_Bifidobacterium, and g_Lactobacillus, which is beneficial for recovery of intestinal diseases. These results suggest that XOS can relieve dysbiosis in the feces of UC patients in clinical remission and thus represent a potential prebiotic material for maintaining remission.

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Effect of Fiber and Fecal Microbiota Transplantation Donor on Recipient Mice Gut Microbiota

Frontiers in Microbiology ◽

10.3389/fmicb.2021.757372 ◽

2021 ◽

Vol 12 ◽

Author(s):

Yifan Zhong ◽

Jiahong Cao ◽

Zhaoxi Deng ◽

Yanfei Ma ◽

Jianxin Liu ◽

...

Keyword(s):

Random Forest ◽

Gut Microbiota ◽

Dietary Fiber ◽

Fecal Microbiota Transplantation ◽

Critical Role ◽

Fecal Microbiota ◽

Linear Discriminant ◽

High Fiber ◽

Significant Difference ◽

Random Forest Models

Both fecal microbiota transplantation (FMT) and dietary fiber intervention were verified as effective ways to manipulate the gut microbiota, whereas little is known about the influence of the combined methods on gut microbiota. Here, we constructed “non-industrialized” and “industrialized” gut microbiota models to investigate the donor effect of FMT and diet effect in shaping the gut microbiota. Mice were transplanted fecal microbiota from domestic pig and received a diet with low-fiber (D) or high-fiber (DF), whereas the other two groups were transplanted fecal microbiota from wild pig and then received a diet with low-fiber (W) or high-fiber (WF), respectively. Gut microbiota of WF mice showed a lower Shannon and Simpson index (P < 0.05), whereas gut microbiota of W mice showed no significant difference than that of D and DF mice. Random forest models revealed the major differential bacteria genera between four groups, including Anaeroplasma or unclassified_o_Desulfovibrionales, which were influenced by FMT or diet intervention, respectively. Besides, we found a lower out-of-bag rate in the random forest model constructed for dietary fiber (0.086) than that for FMT (0.114). Linear discriminant analysis effective size demonstrated that FMT combined with dietary fiber altered specific gut microbiota, including Alistipes, Clostridium XIVa, Clostridium XI, and Akkermansia, in D, DF, W, and WF mice, respectively. Our results revealed that FMT from different donors coupled with dietary fiber intervention could lead to different patterns of gut microbiota composition, and dietary fiber might play a more critical role in shaping gut microbiota than FMT donor. Strategies based on dietary fiber can influence the effectiveness of FMT in the recipient.

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Colonization of Supplemented Bifidobacterium breve M-16V in Low Birth Weight Infants and Its Effects on Their Gut Microbiota Weeks Post-administration

Frontiers in Microbiology ◽

10.3389/fmicb.2021.610080 ◽

2021 ◽

Vol 12 ◽

Author(s):

Ayako Horigome ◽

Ken Hisata ◽

Toshitaka Odamaki ◽

Noriyuki Iwabuchi ◽

Jin-zhong Xiao ◽

...

Keyword(s):

Birth Weight ◽

Low Birth Weight ◽

Gut Microbiota ◽

16S Rrna Gene Sequencing ◽

Fecal Microbiota ◽

Control Group ◽

Rrna Gene ◽

Low Birth Weight Infants ◽

Fecal Samples ◽

Bifidobacterium Breve

The colonization and persistence of probiotics introduced into the adult human gut appears to be limited. It is uncertain, however, whether probiotics can successfully colonize the intestinal tracts of full-term and premature infants. In this study, we investigated the colonization and the effect of oral supplementation with Bifidobacterium breve M-16V on the gut microbiota of low birth weight (LBW) infants. A total of 22 LBW infants (12 infants in the M-16V group and 10 infants in the control group) were enrolled. B. breve M-16V was administrated to LBW infants in the M-16V group from birth until hospital discharge. Fecal samples were collected from each subject at weeks (3.7–9.3 weeks in the M-16V group and 2.1–6.1 weeks in the control group) after discharge. qPCR analysis showed that the administrated strain was detected in 83.3% of fecal samples in the M-16V group (at log10 8.33 ± 0.99 cell numbers per gram of wet feces), suggesting that this strain colonized most of the infants beyond several weeks post-administration. Fecal microbiota analysis by 16S rRNA gene sequencing showed that the abundance of Actinobacteria was significantly higher (P < 0.01), whereas that of Proteobacteria was significantly lower (P < 0.001) in the M-16V group as compared with the control group. Notably, the levels of the administrated strain and indigenous Bifidobacterium bacteria were both significantly higher in the M-16V group than in the control group. Our findings suggest that oral administration of B. breve M-16V led to engraftment for at least several weeks post-administration and we observed a potential overall improvement in microbiota formation in the LBW infants’ guts.

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P053 Overabundance of Lactobacillus species in gut microbiota of IBD patients

Journal of Crohn s and Colitis ◽

10.1093/ecco-jcc/jjab076.182 ◽

2021 ◽

Vol 15 (Supplement_1) ◽

pp. S160-S161

Author(s):

D Khusnutdinova ◽

M Markelova ◽

M Siniagina ◽

E Boulygina ◽

S Abdulkhakov ◽

...

Keyword(s):

Gut Microbiota ◽

Intestinal Microbiota ◽

Active Phase ◽

Bioinformatic Analysis ◽

Lactobacillus Species ◽

Control Group ◽

Metagenomic Sequencing ◽

Shotgun Metagenomic Sequencing ◽

Inflammatory Bowel ◽

Stool Samples

Abstract Background Changes in the composition of gut microbiota, and their metabolic pathways, are important factors in the pathogenesis of inflammatory bowel disease (IBD). Many clinical trials have shown that taking probiotics based on Lactobacillus has a positive effect on patients with IBD. However, Lactobacillus should be used more carefully during the active phase of IBD, since some strains can negatively affect the pathogenesis of the disease1,2. The aim of this study was to assess the diversity of Lactobacillus species in the gut microbiome of IBD patients and healthy volunteers. Methods In the study, 62 stool samples from healthy people, 31 from patients with Crohn’s disease (CD), and 34 - ulcerative colitis (UC) in active phase were analyzed. DNA was isolated using the QIAamp Fast DNA Stool Mini Kit (Qiagen, USA) following with shotgun metagenomic sequencing the NextSeq 500 (project #0671-2020-0058). Bioinformatic analysis was performed with the MetaPhlAn2 package. Results An increased relative abundance of Lactobacillus was found in patients with IBD (3.2% ± 6.6% in CD and 1.6% ± 2.8 in UC) compared to healthy individuals (0.3% ± 1.2%, p<0.05). In the control group, Lactobacillus were absent in 41% of samples and 1–5 species were found in 58% of samples. Most CD and UC patients are characterized by the presence of 3 to 5 species of Lactobacillus (38% and 31%, respectively). For 23% of CD patients and 26% of UC patients, 6 to 9 types of Lactobacillus were found. Some patients with IBD have more than 10 different types of Lactobacillus in the gut microbiota (Fig.1). The intestinal microbiota in IBD patients is characterized by an increased abundance of several species: L. salivarius, L. gasseri, L. mucosae, as well as L. casei paracasei in patients with CD and L. vaginalis in patients with UC (Fig.2). Conclusion The composition of the intestinal microbiota of IBD patients differs significantly in terms of Lactobacillus proportion and species diversity. Overabundance of five Lactobacillus species could be associated with the active phase of IBD. References

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