Cellular Therapy and Transplantation (CTT). Vol. 9, No. 2, 2020 doi: 10.18620/ctt-1866-8836-2020-9-2-47-59 Submitted: 10 June 2020, accepted: 26 June 2020
Bacteroides fragilis is a potential marker of effective microbiota transplantation in acute graft-versus-host disease treatment
Oleg V. Goloshchapov ', Evgenyi A. Bakin ', Maxim A. Kucher ', Oksana V. Stanevich ', Maria A. Suvorova 2, Vladimir V. Gostev 3, Oleg S. Glotov 4, Yury A. Eismont 4, Dmitry E. Polev 5, Anastasia Yu. Lobenskaya 5, Ruslana V. Klementeva ', Maria O. Goloshchapova ', Ludmila S. Zubarovskaya ', Sergey V. Sidorenko 3, Alexander N. Suvorov 6, Ivan S. Moiseev ', Alexei B. Chukhlovin 1
1 RM Gorbacheva Research Institute of Pediatric Oncology, Hematology and Transplantation, Pavlov University, St. Petersburg, Russia
2 Explana Research Laboratory, St. Petersburg, Russia
3 Pediatric Research and Clinical Center of Infectious Diseases, St. Petersburg, Russia
4 City Hospital No. 40, St. Petersburg, Russia
5 Cerbalab Ltd, St. Petersburg, Russia
6 Institute of Experimental Medicine, St. Petersburg, Russia
Dr. Oleg V. Goloshchapov, Head, Anesthesiology Depart- Phone: + 7 (921) 979 2913
ment No.3, Pavlov University, L. Tolstoy St. 6-8, 197022, E-mail: golocht@yandex.ru
St. Petersburg, Russia
Citation: Goloshchapov OV, Bakin EA, Kucher MA et al. Bacteroides fragilis is a potential marker of effective microbiota transplantation in acute graft-versus-host disease treatment. Cell Ther Transplant 2020; 9(2): 47-59.
Summary
Fecal microbiota transplantation (FMT), as any other medical procedure, requires standardization of results, approaches, monitoring of its dynamics and microbiota engraftment evaluation. The aim of the present study was to compare efficiency and results of PCR and 16S RNA-based sequencing in order to trace the dynamics of microbiota composition after FMT.
Patients and methods
The prospective, single-center study included 27 patients with acute intestinal and chronic (overlap syndrome) graft-versus-host disease (GvHD) developed after allogeneic hematopoietic stem cell transplantation (HSCT). FMT in 19 cases was performed, mostly, with ingestible capsules, eight placebo-treated patients were included into control group. Quantitative changes of different bacterial groups in fecal microbiota were assessed by means of real-time multiplex PCR, being compared with16S rRNA sequencing technique at the terms of D+3, D+16, D+30, D+60 and D+120 following FMT. Clinical response was determined by 4 scales evaluating intestinal syndrome and GvHD grade.
Results
When evaluating stool consistence according to Bristol scale as an index of GvHD therapy efficiency, we have observed complete clinical response by the D+120 after FMT in nine cases (47% with Bristol score of <4 points), and nine patients (47%) showed improved stool properties (>4 points). In the placebo group, complete or partial response was revealed, respectively, in one (13%), and four cases (50%) on the D+120. Multiplex PCR of fecal microbiota has shown a different time course in FMT- and placebo-treated patients, when compared to their initial (pre-FMT) levels. Total bacterial mass and copy numbers of distinct microbial species exhibited sufficient increase after FMT. Such shifts were demonstrable on D+30 for total microbial mass (p=0.002); Escherichia coli (p=0.001); Bacteroides fragilis group (p=0.05); Faecalibacteriumprausnitzii (p=0.005). Meanwhile, the numbers Lactobacillus spp., and Bacteroides thetaiotaomicron, generally, were not changed over this time period. Moreover, in the control group (placebo) we have not found significant fecal microbiota changes against initial levels during 120 days monitoring period. Over 120 days of observation, we have also found some differences of the microbiota dynamics for the sub-
groups with complete response and partial/no response: Bifidobacterium spp. (p<0.047), E.coli (p<0.00047), B. fragilis group (p=5.6x10-5), F.prausnitzii (p<0.0062).
Conclusions
1. Quantitative PCR of the major bacterial groups of gut microbiota, e.g., Bifidobacterium spp., E. coli, B. fragilis group, F. prausnitzii could be used as microbiological markers for evaluation of changing microbial landscape after FMT as a routine molecular biology technique.
2. The genocopy counts of B. fragilis group correlate with clinical response in the patients with intestinal GvHD after HSCT, either with, or without FMT procedure.
Keywords
Graft-versus-host disease, fecal microbiota, transplantation, gut microbiome, Bacteroides fragilis, polymerase chain reaction, multiplex, next generation sequencing, 16S rDNA gene.
Introduction
Fecal microbiome contains hundreds types of bacteria, with only minority of, mostly, aerobic gut bacteria having been detectable in bacteriological cultures. However, conventional microbiological cultures are able to detect only a limited number of aerobic and, to lesser degree, anaerobic bacteria in fecal samples. In this respect, a gene-specific DNA diagnostics, e.g., multiplex PCR aimed for detection of potentially pathogenic microbes, is a more sensitive technique for detection and quantification of distinct microbial species and families at different microbiotes of human body [1].
Moreover, major bacterial classes and families became available for studies and comparisons, due to development of the next-generation sequencing (NGS). Bacteroides and Clostridia comprise the majority of normal intestinal flora as suggested by several NGS studies performed in different parts of the world [2, 3]. These microbial types are susceptible to massive antibiotic treatment which is usually applied in immunocompromised patients after bone marrow transplantation [4].
Still there are no generally approved reference biodiversity values, or marker microorganisms for assessment of gut microbiome in immunocompromised patients following severe cytostatic and antimicrobial therapy. Severe intestinal affection after allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a useful clinical model for evaluation of gut microbiome shifts and its correction after fecal microbiota transplantation (FMT) [5]. An FMT protocol for clinical trials in severe graft-versus-host disease (GvHD) was applied quite recently [6].
Despite numerous clinical studies on FMT, there are only few bacterial markers for monitoring its efficiency. Appropriate guidelines are limited to bacteriological screening of the third-party donors of fecal transplants [7]. To our knowledge, there are no clear recommendations on screening of fecal microbiota in the patients. Except of time- and labor-consuming NGS analysis, some multiplex PCR-based approaches may be used that detect distinct gut pathogens [8, 9]. A quite recent approach is based on determination of relative proportions for the dominant phyla in human gut microbiome [10].
To evaluate real biodiversity of intestinal microbiome, most recent works are performed by sequencing of 16S rRNA fragments from multiple bacterial species, with subsequent detection of species-specific genes. The results of NGS assays provide a big number of 16S rRNA nucleotide sequences which correspond to relative representation of distinct bacterial classes in the given sample. The best reliable data derived from NGS analysis concern biological diversity for big taxonomic classes of microbiota, down to the family level. More exact species-specific diagnostics is less robust, due to only marginal interspecies differences in nucleotide sequences detectable by the current NGS technique.
Therefore, some more simple and cost-effective microbial markers are required for evaluation and screening of human microbiota after massive antibiotic therapy and in the course of gut recolonization. Hence, the aim of our study was a search for microbial species detectable by molecular biology techniques that could correlate with clinical results of FMT performed in severe resistant GvHD after allo-HSCT.
Patients and methods
The prospective single-center study included 27 patients at the age of 1 to 52 years old (median, 25 years) after allo-HSCT at the Raisa Gorbacheva Memorial Research Institute of Pediatric Oncology, Hematology and Transplantation over a period of 2017 to 2019 (Table 1). The main group included 19 post-HSCT patients who developed acute intestinal GvHD. All the patients were in remission state for their primary disease. These patients received FMT due to severe GvHD resistant to standard treatment. The inclusion criterion was steroid-refractory acute or chronic GvHD (overlap-syndrome) accompanied by intestinal affection. Intestinal GvHD has been confirmed by pathological examination of colonic mucosa biopsies. FMT was performed at a median of 110 (37-909) days post-HSCT. The comparison group with similar GvHD symptoms included eight patients who received placebo preparations instead of FMT applied on a median of 56 (34-120) days after HSCT.
Antimicrobial prophylaxis was canceled 3 days before and during TFM treatment. Systemic antibacterial drugs were administered by common clinical indications (local infection, septicemia) to 8 patients (37%) before FMT, and in 18
cases (95%), after the procedure. Seven placebo-treated patients out of 8 (88%) were also exposed to systemic antimicrobial therapy. The patients with proven intestinal affection with HHV6 or EBV herpes viruses received gancyclovir: 11 (58%) in FMT-treated, 8 (100%) in the placebo group.
All the patients received immunosuppressive therapy as the first-line GvHD treatment, by means glucocorticosteroids
(methylprednisolone, 1 mg/kg/d). The second-line therapy was performed with Ruxolitinib at the dose of 10-15mg/d (for children 0.25mg/kg/d). The patients underwent clinical and laboratory screening at the following terms: before FMT/placebo treatment D -1-3, D+3, D+16, D+30, D+60, and D+120 after FMT. The next day after last FMT was considered D+1. Primary endpoints were determined on the D+30 following FMT or placebo administration.
Table 1. Clinical characteristics of the FMT patients
Parameter FMT group Placebo group
Total patient number, n 19 8
Age, years, median (ranges) 22 (3-49) 27 (1-52)
Gender, m/f, n (%) .10/9 (53/47) .3/5 (38/62)
Diagnosis, n (%)
Acute lymphoblastic leukemia 5 (26) 4 (50)
Acute myeloblastic leukemia 5 (26) 1 (13)
Myelodysplastic syndrome 3 (16) 1 (13)
Non-Hodgkin lymphoma 1 (5) 1 (13)
Hodgkin lymphoma 1 (5) 0 (0)
Multiple myeloma 1 (5) 0 (0)
Chronic myeloid leukemia 1 (5) 1 (13)
Inherited diseases 2 (10) 0 (0)
Conditioning therapy, n (%)
Fludarabine+Busulfan 11 (58) 7 (88)
Fludarabine+Melphalan 4 (21) 0 (0)
Fludarabine+Bendamustin 3 (16) 0 (0)
Fludarabine+Cyclophosphamide 1 (5) 1 (13)
HSCT type, n (%)
Allogeneic unrelated 11 (58) 1 (13)
Allogeneic related 0 (0) 1 (13)
Haploidentical 8 (42) 6 (74)
GvHD prophylaxis, n (%)
Cyclophosphamide+Tacrolimus+MMF 11 (58) 4 (50)
Cyclophosphamide+Tacrolimus+Sirolimus 2 (10) 3 (37)
Bendamustin+Tacrolimus+MMF 3 (15) 0 (0)
Cyclophosphamide+Tacrolimus+ATG 2 (10) 1 (13)
T-Depletion 1 (5) 0 (0)
GvHD Therapy at FMT, n (%)
Glucocorticosteroids+Ruxolitinib 6 (32) 5 (63)
Glucocorticosteroids+Sirolimus 2 (10) 0 (0)
Glucocorticosteroids+Ruxolitinib+Sirolimus 9 (47) 3 (37)
Glucocorticosteroids+Ruxolitinib+Etanercept+ECP+Mesenchymal cells 2 (10) 0 (0)
Intestinal GvHD, n (%)
Acute 15 (79) 8 (100)
Chronic (overlap syndrome) 4 (21) 0 (0)
Intestinal GvHD grade, n (%)
Grade 1-2 9 (47) 3 (38)
Grade 3-4 10 (53) 5 (62)
Routine laboratory studies at the ICU included daily blood cell and differential leukocyte counts, routine serum biochemistry, serum markers of inflammation (procalcitonine, С-reactive protein). In cases of acute intestinal syndrome, the aerobic microbial cultures of stool samples were routinely seeded, and C.difficile toxins A and B were checked by a simple immune chromatography test (VEDALAB, France).
In four cases (21%), the fecal transplant donation was performed from related donors (mother, 1; father, 2; brother, 1). FMT from unrelated donors was carried out in 15 patients.
Fecal transplants were administered by the following methods: via gastroduodenoscope, in 3 patients (16%); via na-sointestinal catheter, in 7cases (3 TFM+ and 4 placebo); 13 patients (68%) ingested gelatin capsules with frozen microbiota. Placebo capsules were used in 4 patients (50%).
The single-center prospective study "Treatment of children and adult patients with inflammatory and infectious gut lesions after allogeneic transplantation of hematopoietic stem cells using transplantation of normal human microbi-ota" was approved by the Local Review Board at the First I. Pavlov Saint-Petersburg State Medical University №192 от 30.01.2017. The trial was performed in accordance with Good Clinical Practice and Declaration of Helsinki, i.e., full
awareness of the study purpose, procedures and possible adverse effects from treatment, as stated by appropriate written informed consent signed by each patient or his (her) competent relative.
Fecal microbiota encapsulation procedure
Preparation of fecal transplants and their storage at -80°C was performed at the specialized microbiological laboratory. In brief, the donor material was supplemented with 10% glycerol and 50% sterile dextrose syrup (v/v), then homogenized with a disposable blender. The material, placed on ice, was then packed up in solid Coni-Snap® Size 0 gelatin capsules using the ProFiller 1100 device. The bar-coded capsules were placed into individual sterile containers. The fecal transplants (FT) were transferred to a freezing chamber (-80°C) and stored until use. The capsules were administered at a dose of 10 (3-15) capsules for 2 or 3 subsequent days. The total dose per single TFM course was 22 g (30 capsules) corresponding to 0.41 (0.29-1.67 g/kg body mass), independent on age and weight of the subjects.
The patients from comparison group were treated with 5 mL of 0.9% physiological saline delivered during diagnostic gas-troscopy, or frozen capsules with physiological saline.
№ Parameter Reference interval (copies/mL)
1 Total bacterial mass 10M013
2 Lactobacillus spp. 107-108
3 Bifidobacterium spp. 109-1010
4 Escherichia coli 107-108
5 Bacteroides fragilis group 109-1012
6 Bacteroides thetaiotaomicron Any amount <1012
7 Faecalibacterium prausnitzii 108-1011
8 Akkermansia muciniphila Any amount 1012
9 Escherichia coli enteropathogenic <104
10 Enterococcus spp. <108
11 Proteus vulgaris / Proteus mirabilis <104
12 Citrobacter spp. / Enterobacter spp. <104
13 Parvimonas micra Not detectable
14 Candida spp. <104
15 Clostridium difficile <104
16 Clostridium perfringens <104
17 Fusobacterium nucleatum Not detectable
18 Klebsiella oxytoca <104
19 Klebsiella pneumoniae <104
20 Salmonella spp. Not detectable
21 Shigella spp. Not detectable
22 Staphylococcus aureus <104
Table 2. Reference values for different microbial species detected by multiplex real-time PCR kit (Colonoflor-16)
Table 3. Gene-specific primers for detection of distinct microbes in fecal material (Colonoflor test system)
Detected parameters Forward (F) primers, reverse (R) primers and fluorescent probes (Z) Gene specification
Total bacterial mass Tot_F TCCTACGGGAGGCAGCAGT 16S rRNA
Tot_R GGACTACCAGGGTATCTAATCCTGTT
Tot_Z 6' FAM -CGTATTACCGCGGCTGCTGGCAC-BHQ-1
Bifidobacterium spp. Lacto_2 CCATTGTGGAAGATTCCCTACTGC 16S rRNA(2-5)
Lacto_Z 6' FAM-ATCGGCCACATTGGGACTGAGAC-BHQ-1
Bif_F GCGTGCTTAACACATGCAAGTC
Bacteroides fragilis group Bif_R CACCCGTTTCCAGGAGCTATT 16S rRNA(7)
Bif_Z 6' FAM-TCACGCATTACTCACCCGTTCGCC-BHQ-1
Bac_fraq_F CGGAGGATCCGAGCGTTA
Faecalibacterium prausnitzii Bac_fraq_R CCGCAAACTTTCACAACTGACTTA 16S/ rRNA
Bac_fraq_Z 6TAM-CGCTCCCTTTAAACCCAATAAATCCGG-BHQ-1
Fprau_F CCATGAATTGCCTTCAAAACTGTT
Laboratory screening of gut microbiota
Semi-quantitative assessment of fecal microbiota profile was performed with real-time PCR technique using commercial Colonoflor-16test system (Alpha-Lab, Saint Petersburg, Russia). Total bacterial mass, as well most represented microbial species, including strictly anaerobic species, could be detected by this DNA-based technique (Table 2). A set of gene-specific primers is used in this test kit, exploiting the differences in 16S rDNA sequences (see Table 3).
The same fecal DNA samples were used for detailed 16S rDNA sequencing by means of NGS technique, as elsewhere described [11]. The serial microbiome sequencing procedure was carried out with Illumina™ HiSeq 2500 system.
Clinical evaluation
Clinical examination of the patients along the observation period until D+120 was performed by the well-validated scales: GvHD severity score [12]; evaluation of clinical response of GvHD patients to therapy [13]; Bristol scale of stool [14].
All the patients (or their parents) filled a special diary with notices on their actual daily condition and severity of distinct symptoms by scoring the adverse treatment effects, according to the Common Terminology Criteria for Adverse Events Version 5.0 (CTCAE), version 5.0 of November 27 2017) [15], as follows: anorexia (1-5 points), nausea (1-3 points), lower intestinal bleeding (1-5 points). Pain syndrome (abdominal pains) was evaluated by the 10-point visual analogue scale for adults and children (VAS), according to WHO criteria [16, 17]. Number of defecations, daily volumes of diarrhea and vomiting were registered. The stool properties were evaluated according to the Bristol scale (1 to 7 points).
Aiming for a more objective evaluation of clinical response, the patients from main group were divided in two subgroups, i.e., patients who showed full clinical response (CR), and those who responded only partially or lacked any positive response (PLR). These and other parameters were introduced into a common database.
The stool consistence was evaluated by the seven-point Bristol scale [14] (Lewis, Heaton, 1997). Volumes of water lost with stool and vomiting was also registered. A validated tox-icity scale was used to evaluate bloody and mucous admixtures, loss of appetite, and other side effects (CTCAE Version 5.0 Published: November 27, 2017), using a 4-point scoring of its intensity (0, the symptom absent; 1, mild degree or periodic; 2, intermediate (often); 3, severe (permanent), requiring proper therapy). To evaluate abdominal pain, a 10-point VAS was applied [16, 17].
To specify rates of clinical response a, we classified the patients in 2 groups, i.e., the FMT outcomes were classified as the main group with complete response (CR), partial response (PR), or treatment failure (NR) in the patients. Full response was registered by 2 criteria, i.e., gut GvHD improvement (stool volume <10 mL/kg/day, absence of abdominal pains and bloody stool, no signs of gut paresis), and stool consistence of <4 points at Bristol scale should be registered. Partial response was documented in cases of complete response for intestinal GvHD, and stool consistence of >4 points by Bristol scale (stool volume >10 ml/kg/day). Absence of clinical response was documented if no complete recovery for intestinal GvHD, along with liquid stool (Bristol scale, 6 to 7 points, daily stool volume >10 mL/kg weight).
On the days before FMT/placebo administration, and by the days +3, +16, +30, +60, +120 after FMT, the mean sum values for preceding time period were calculated, beginning from the next day after last control point until the target point of the study. When analyzing clinical results, the last day of TFM treatment was assumed as day 0 for the observation period.
Statistical evaluation
All clinical and laboratory data obtained during the follow-up examinations were analyzed with R programming language v.3.6.2 in Rstudio v. 1.2.5033. Shannon index for 16S sequencing results was calculated as follows:
where n is a number of detected bacterial groups, pi, frequency of i-th group occurrence. Comparison of samples was performed with non-parametric statistical methods: Wilcox-on test for two-sample comparisons, and Kruskal-Wallis test for three-sample comparison. Visualization was performed by means of R packages ggplot2 [18] and ggpubr [19].
Results
In the whole group of patients, some grade of response (disregarding Bristol scale) was achieved in 23 patients (85%), at D+120, including 18 cases after FMT (95%), and 5 place-
bo-treated patients (63%) (p=0.0646). Whole response was achieved in 16 patients (84%) after FMT, versus in 5 cases (63%) from placebo group (p=0.3191). One patient deceased without response to FMT (5%) versus 3 patients (38%) in the placebo group.
When evaluating clinical response to GvHD therapy, with regard of stool consistence by Bristol scale, we observed whole clinical response 120 days after FMT in 9 cases (47% with Bristol score of <4 points), and 9 patients (47%) showed improvement stool consistence (>4 points). In the placebo group, a complete or partial response was revealed, respectively, in 1 (13%) and 4 (50%) of the patients by the day + 120.
A
1e+13' 1e+10' 1e+07-
1e+13' 1e+10' 1e+07-
1e+13' 1e+10' 1e+07-
Bacteroides fragilis
Wilcoxon, p = 2.1e-0/ \ i)
Bifidobacterium spp.
Wilcoxon, p = 0.018 < I V ' /
Faecalibacterium prausnitzii
Wilcoxon, p = 9.8e-08 T" h
o*
oT
1e+13-1e+10-1e+07-
1e+13-1e+10-1e+07-
1e+13-1e+10-1e+07-
Bacteroides thetaiataomicron
Wilcoxon, p = 0.85-
Enterococcus spp.
Wilcoxon, p = 0.39
Lactobacillus spp.
Wilcoxon, p = 0.87
Response
1e+13' 1e+10' 1e+07
1e+14-
1e+11
1e+08
1e+13 1e+10' 1e+07
Bacteroides fragilis
Wilcoxon, p ="0028
Bifidobacterium spp.
Wilcoxon, p = 0.72
Faecalibacterium prausnitzii
Wilcoxon, p = 0.027
✓
1e+14-1e+11 ■ 1e+08'
1e+13-1e+10-1e+07
1e+13-1e+10-1e+07
Response
Bacteroides thetaiataomicron
Wilcoxon, p = 0.53
Enterococcus spp.
Wilcoxon, p = 0.94
Lactobacillus spp.
Wilcoxon, p = 0.2
✓
B
Figure 1. Relative contents of dominant fecal microbial species in the total set of samples from all the study terms (A), and on day +30 of observation (B) in the patients with complete response (red), partial/absent response (blue) including the placebo group. Abscissa, type of response after FMT. Ordinate, number of genocopies, log10 per standard sample (0.1 g)
Table 4. Significance of differences (p values) between initial (pre-TFM/placebo) and post-FMT levels of certain microorganisms in fecal microbiota of total patient group (19 FMT cases and 8 placebo-treated patients)
Days after FMT/Placebo D+3 D+16 D+30 D+60 D+90 D+120
Total bacterial mass FMT 0.002 0.001 0.002 0.036 0.072 0.038
Placebo 0.62 0.268 0.343 0.412 0.109 0.315
Lactobacillus spp. FMT 0.4 0.141 0.903 0.526 1 0.281
Placebo 0.902 0.876 0.432 0.927 0.648 0.927
Bifidobacterium spp. FMT 0.107 0.036 0.001 0.239 0.288 0.016
Placebo 1 0.073 0.638 0.788 0.164 0.412
E.coli FMT 0.000 0.007 0.001 0.004 0.048 0.000
Placebo 0.165 0.876 0.53 0.537 0.648 0.648
B. fragilis FMT 0.000 0.005 0.05 0.272 0.05 0.033
Placebo 0.383 0.149 0.106 0.527 0.788 0.315
B.thetaiataomicron FMT 0.007 0.109 0.109 0.662 0.745 0.461
Placebo 0.71 0.755 0.755 0.755 0.755 0.755
F.prausnitzii FMT 0.000 0.002 0.005 0.01 0.003 0.000
Placebo 0.805 0.639 0.53 0.648 1 0.648
Note: The differences significant at P<0.05 are shown in bold-face type.
Multiplex PCR of fecal microbiota has shown a different time course in FMT- and placebo-treated patients, when compared to their initial (pre-FMT) levels. Total bacterial mass and copy numbers of distinct microbial species exhibited sufficient increase in the patients with complete clinical response (Fig. 1). In patients with full clinical response after FMT, or placebo, we have detected increased amounts of some major microbial groups by means of Colonoflor testing, i.e., Bacteroides fragilis group, Bifidobacterium spp., Faecalibacterium prausnitzii, along with decrease in Entero-coccus spp. and Lactobacillus spp.
E.g., such shifts in total group of samples were demonstrable for B.fragilis group (p=2.1x10-7); F.prausnitzii (p=9.8x10-8) during the observation terms (Fig. 1A). Similar increase in B.fragilis group (p=0.028), and F.prausnitzii (p=0.027) was detectable by the D+30 in FMT-treated or placebo patients (Fig. 1B).
Moreover, a stable and significant increase of B.fragilis group and F.prausnitzii was revealed since early terms in FMT-treated patients compared to placebo-treated patients (Table 4).
Meanwhile, the numbers of Enterococcus, Lactobacillus spp., and Bacteroides thetaiotaomicron, generally, were not changed over this time period (Table 4). In the control group (placebo) we have not found significant changes of fecal mi-crobiota against initial levels over 120 days of monitoring.
Mean values of Bifidobacterium spp., E.coli, B.fragilis group and F.prausnitzii were significantly different for the studied groups (p<0.003; p<0.012; p<0.016; p<0.12, respectively), as seen in Fig. 2. We have also found some differences of the microbiota dynamics for the subgroups with complete response, partial/no response: Bifidobacterium spp. (p<0.047), E.coli (p<0.00047), B.fragilis gr. (p<5.6x10-5), F.prausnitzii (p<0.0062).
In the placebo group, we did not detect any cases of C.dif-ficile-associated infections. Meanwhile, three cases of C.dif-ficile infection were detected in the FMT group. However, both A and B toxins of C.difficile became negative by day + 16, +30 and +45 s after FMT.
Hence, relative contents of B.fragilis group in fecal microbiota was selected as a bacterial marker increased upon recol-onization, due to sufficient difference between complete and no/partial response to the FMT (p=2.1x10-7), and pronounced dynamics of changes (p=5.6x10-5) over 120 days of observation. Therefore, was selected for further studies, i.e. search for correlations with NGS results on Bacteroidia class.
Correlations between the ratios of specific microbial DNA extracted from fecal samples determined by the 16S rRNA NGS technique were assessed at phylogenetic levels of Bacteroidetes (Phylum), Bacteroidia (Class), and Bacteroi-dales (Order). Among all microbial specificities detectable by quantitative PCR (Colonoflor test set), only Bacteroides
Figure 2. Time-dependent changes of total bacterial mass and four selected bacterial classes are presented over 120 days of observation. Abscissa, subgroups of patients; Ordinate, number of genocopies, log10 per standard sample (0.1 g)
Note: the groups with different response include FMT- and placebo-treated patients.
fragilis group showed strong correlation with the ratios of Bacteroidetes phylum and Bacteroidia class revealed NGS approach. When applying NGS technique for detection of gut bacteria, we revealed high correlation only between the general types of bacteroides, i.e. phylum (Bacteroidetes); class (Bacteroidia); order (Bacteroidales); family (Bacteroidaceae), genus (Bacteroides) (Table 5).
B.fragilis contents in fecal microbiota from healthy donors proved to be significantly higher than in the patients with GvHD before FMT (Table 6), thus potentially requiring enhancement of these microorganisms in the patients after HSCT with immune complications. After FMT, the median levels of B.fragilis group are sufficiently increasing in parallel to complete clinical response, being, however, at lower levels in cases with partial or zero response.
Hence, the evaluation of B.fragilis group using real-time PCR, generally correlates with data on broader Bacteroides class obtained by 16SrRNA sequencing performed by much more complex and costly NGS technique. Meanwhile, multiplex PCR allows to get semi-quantitative results which could be used for routine monitoring of gut dysbiosis and its recovery.
In this series, D+30 proved to be the most informative time point for discerning differences between FMT and placebo-treated patients. I.e., on D+30 (a control point of study), we have found an increase over the D0 ratios in Bacteroidetes phylum; Bacteroidia (Class); Bacteroidales (Order) when studied by NGS approach. A strong correlation was found at all the time points with copy numbers of B.fragilis (PCR technique), as shown in Fig. 3.
Table 5. Correlations between the main types of Bacteroidetes and B.fragilis group determined by NGS approach
Bacteroides types revealed by NGS (n=38 samples)
Type Class Order Family Genus Species
Bacteroidetes Bacteroidia Bacteroidales Bacteroidaceae Bacteroides B.fragilis
Correlation quotients and their significance
0.742 0.744 0.744 0.762 0.772 0.455
<0.000 <0.000 <0.000 <.000 <.000 0.004
Table 6. B.fragilis contents in the fecal microbiota samples (log10 of genocopy numbers) in healthy donors and patients with differential response to FMT
Groups of samples Healthy donors Patients with complete response to FMT Patients with partial/zero response
Before FMT
Maximal 5.00EA12 9.00EA12 1.00EA08
Median 2.00A12 2.00EA07 4.50EA06
Minimal 9.00EA10 7.00EA05 0.00EA00
30 days after FMT
Maximal - 9.00EA12 4.00EA12
Median - 2.00EA12 9.00EA07
Minimal - 9.00EA05 9.00EA05
W 3 (S
X ©
■c 2
C
c o Ü1 TO ■C
w
Response
Response
Figure 3. Parallel changes of B.fragilis copy numbers (multiplex PCR) and Shannon index of genomic bacterial diversity determined by 16S rRNA sequencing for the groups with complete response (CR) versus partial/ lacking response after FMT or placebo on D+30
0
The numbers of fecal B.fragilis genocopies in all the patients (FMT and placebo) with complete response were increased on D+30, and differed from the groups with partial/zero response after FMT procedure, or after placebo treatment (Fig. 3).
We have revealed a statistically significant correlation between the Shannon index (16 S rRNA sequencing) and B.fragilis levels (multiplex) PCR in the patients after FMT and/or placebo, either with complete response (CR), being significant at p=0.028, or partial/absent response (PR/NR), at p=8x10-4 (Fig. 4).
CR » PR/NR
Figure 4. Correlations between fecal Bacteroides fra-gilis contents (abscissa), and Shannon microbial diversity index (ordinate) in the patients following FMT and/or placebo with complete or partial/absent clinical response at different observation terms. Complete clinical response to FMT: red points; partial or absent effect: blue points
Hence, on the basis of B.fragilis contents in fecal microbi-ota, its diversity (by Shannon index), and extent of clinical response for differently treated groups, we have obtained sufficient correlations between the subgroups with complete response, suboptimal response to FMT treatment, and placebo-treated patients.
Discussion
In this study we searched for microbiological correlates of clinical effect produced by FMT. We were able to compare the results of multiplex PCR technique and NGS gene analysis that were performed in parallel in the same fecal samples. Both molecular biology approaches proved to be effective when detecting shifts in gross classes of microbiota, e.g., Bac-teroides, Clostridia and Enterobacter.
Using NGS approach, the proportions of some major micro-biome classes are revealed, as follows: Bacteroidia, Clostridia, Gammaproteobacteria, Bacilli, Actinobacteria (Bifidobacteri-um spp). The main classes discerned by the NGS approach are represented by distinct microbial species detected by Co-lonoflor multiplex PCR (Table 7).
As determined by next-generation sequencing and subsequent bioinformatics mining of resulting data bases for gut bacteria, we revealed high correlation only between gross types of bacteroides, i.e. phylum (Bacteroidetes); class (Bac-teroidia); order (Bacteroidales); family (Bacteroidaceae), genus (Bacteroides) (Table 5). However, this correlation becomes much lower, when B.fragilis group is concerned, thus suggesting lesser precision of NGS diagnostics at the species level. Higher accuracy of the multiplex PCR for the B.fragilis group quantification could be explained by better specificity of appropriate primers, and due to presence of a reference gene marker for the total bacterial mass, thus allowing semi-quantitative determination.
To evaluate real biodiversity of intestinal microbiome, most recent works are performed by sequencing of 16S rRNA fragments from multiple bacterial species, with subsequent detection of species-specific genes. The results of NGS assays provide a big number of 16S rRNA nucleotide sequences which correspond to relative representation of distinct bacterial classes in the given sample. The best reliable data derived from NGS analysis concern biological diversity for big taxonomic classes of microbiota, down to the family level. More exact species-specific diagnostics is less robust, due to only marginal interspecies differences in nucleotide sequences detectable by the current NGS technique.
Therefore, some more simple and cost-effective microbial markers are required for evaluation and screening of human microbiota after massive antibiotic therapy and in the course of gut recolonization.
Table 7. Phylogenetic assignment of the bacteria revealed by 16S rRNA-based Colonoflor PCR system, and NGS approach (Illumina, MySeq)
Bacterial classes discerned by NGS Bacterial species detected by multiple qPCR
Bacteroidia Bacteroides fragilis group, Bacteroides thetaiotaomicron
Clostridia Faecalibacterium prausnitzii, Cdifficile, Cperfringens
Gammaproteobacteria>Enterobacteriales Klebsiella pneumoniae, Klebsiella oxytoca, Proteus, Enterobacter, Citrobacter, Salmonella, Shigella, E.Coli
Actinobacteria Bifidobacterium spp.
Others Fusobacterium nucleatum, Parvimonas micra, Candida spp.
16S RNA gene polymorphism is a good method for control of ratios between the major classes of fecal microbio-ta. Moreover, drastic shifts of gut microbiota are revealed in several gut infections (mostly, C.difficile) and local immune affection, e.g., GvHD [20]. A conventional multiplex PCR approach allows performing a more specific, cheap and fast detection of major fecal microorganisms which is especially informative when using quantitative PCR (qPCR) after FMT, as shown in our study.
As seen from the presented data, one may recommend detection of the main bacterial groups (Bifidobacterium spp., Escherichia coli, B.fragilis group, Faecalibacterium prausnit-zii) as potential markers for assessment of fecal microbiota shifts after FMT. It should be, however, noted that this correlation does not extend to other microbial groups (e.g., Lactobacillus spp., Citrobacter with absence of good correlation with 16S rRNA sequencing for Lactobacillus spp. and Citrobacter, probably, due to suboptimal sensitivity of the given test system for Lactobacillus spp. (<105CFU/sample).
According to the qPCR data, the majority of microbial species sufficiently differed from the initial values on D+16 to D+30 after FMT, as seen for Bifidobacterium spp., Escherichia coli, B.fragilis group, F.prausnitzii. Therefore, one should presume engraftment of main fecal microorganisms after FMT over this period. Bacteroides compose 99% of normal microbiota, with quite important functional potential, being among promising probiotics [21].
Meanwhile, qPCR determination of B.fragilis group has shown a strong correlation with clinical response in the patients after FMT, thus allowing to consider this bacterial marker a potential laboratory correlate of efficient clinical response after FMT. An increase in Bacteroides quantities detected with qPCR and higher relative amounts found by means of NGS-based typing of 16S rDNA may, therefore, reflect engraftment of the major gut bacterial population. Decreased B.fragilis contents in the patients with partial or poor clinical response after D+30 post-FMT may be a non-en-graftment marker, whereas increasing B.fragilis levels with a maximum about D+30 are revealed in complete clinical response. Meanwhile, other findings presume pronounced changes in Clostridiales (e.g., Blautia) as possible index of microbiota maintenance, thus deserving their further pathogenetic significance [4]. E.g., the qPCR system for Clostrid-ium spp. should be also applied for additional testing of the gut microbiota restoration, along with testing for pathogenic C.difficile toxins, as a negative prognostic marker.
Monitoring of gut bacterial markers to assess gut microbiota recovery may effectively improve clinical assessment in gas-troenterology. The currently used clinical criteria are mostly indirect, including stool volume and quality, intestinal mo-tility, fecal blood and calprotectin tests, thus requiring additional microbial markers aimed for quantitative evaluation of the disease state. Certain bacterial families may serve as semi-quantitative markers of the disease-associated shifts and recovery of the microbiota. We have shown that quantitative PCR of distinct gut microorganisms is quite available and cheaper option for routine follow-up of intestinal dys-biosis [22].
However, the 16S rDNA sequencing by means of NGS approach remain indispensable for research in the field, looking for novel markers of human microbiota in health and disease.
Conclusions
1. Quantitative real-time PCR of the major bacteria groups of gut microbiota, e.g., Bifidobacterium spp., Escherichia coli, B.fragilis group, F.prausnitzii could be used as microbiological marker for evaluation of changing fecal microbiota following fecal transplantation as a routine molecular biology technique.
2.The genocopy counts of B.fragilis group correlate with clinical response in the patients with severe GvHD after allo-HSCT.
3.The time course of B.fragilis group contents could be considered an index of fecal microbiota engraftment following FMT.
4. B.fragilis contents in fecal microbiota measured by multiplex PCR show high positive correlation with Shannon index of bacterial diversity, determined by 16S rRNA gene sequencing.
Conflict of interest
The authors state that they have no conflict of interests.
Acknowledgements
The study was in part supported by a research contract with Russian Ministry of Healthcare effective as of January 2018 to December 2020.
References
1. Chukhlovin A.B., Pankratova O.S. Opportunistic microflora at unusual sites: marker pathogens in severe posttrans-plant immune deficiency. Cell Ther Transplant. 2017; 6(4): 28-41.
2. Fujio-Vejar S, Vasquez Y, Morales P, Magne F, Vera-Wolf P, Ugalde JA, Navarrete P, Gotteland M. The gut microbiota of healthy Chilean subjects reveals a high abundance of the phylum Verrucomicrobia. Front Microbiol, 30 June 2017, https://doi.org/10.3389/fmicb.2017.01221.
3. Senghor B, Sokhna C, Ruimy R, Lagier J-C. Gut micro-biota diversity according to dietary habits and geographical provenance. Hum Microbiome J. 2018; 7-8: 1-9.
4. Taur Y. Intestinal microbiome changes and stem cell transplantation: Lessons learned. Virulence. 2016, 7(8), 930938. doi: 10.1080/21505594.2016.1250982.
5. Peled JU, Gomes ALC, Devlin SM, Littmann ER, Taur Y, Sung AD et al. Microbiota as predictor of mortality in allogeneic hematopoietic-cell transplantation. N Engl J Med. 2020; 382:822-834.
6. Shouval R, Geva M, Nagler A, Youngster I. Fecal micro-biota transplantation for treatment of acute graft-versus-host disease. Clin Hematol Int. 2019; 1(1): 28-35.
7. Cammarota G, Ianiro G, Kelly CR, Mullish B, Allegretti JR, Kassam Z et al. International consensus conference on stool banking for faecal microbiota transplantation in clinical practice. Gut. 2019;68:2111-2121.
8. Becker SL, Chatigre JK, Gohou JP, Coulibaly JT, Leuppi R, Polmans K, Chappuis F, Mertens P, Herrmann M, Goran EKN, Utzinger J, von Müller L. Combined stool-based multiplex PCR and microscopy for enhanced pathogen detection in patients with persistent diarrhoea and asymptomatic controls from Cote d'Ivoire. Clin Microbiol Infect. 2015;21:591. e1-591.e10.
9. Zitomersky NL, Coyne MJ, Comstock LE. Longitudinal analysis of the prevalence, maintenance, and IgA response to species of the order Bacteroidales in the human gut. Infect Immunity, 2011, 79, 2012-2020.
10. Jo YJ, Tagele SB, Pham HQ, Jung YG, Ibal JC, Choi SD, Kang GU, Park S, Kang Y, Kim S, Koh H, Shin JH. In Situ profiling of the three dominant phyla within the human gut using TaqMan PCR for pre-hospital diagnosis of gut dysbiosis. Int J Mol Sci. 2020; 21(6): 1916. doi: 10.3390/ijms21061916.
11. Goloshchapov OV, Olekhnovich EI, Sidorenko SV, Moi-seevIS, Kucher MA, Fedorov DE, Pavlenko AV, Manolov AI, Gostev VV, Veselovsky VA, Klimina KM, Kostryukova ES, Bakin EA, Shvetcov AN, Gumbatova ED, Klementeva RV, Shcherbakov AA, Gorchakova MV, J Egozcue JJ, Paw-lowsky-Glahn V, Suvorova MA, Chukhlovin AB, Govorun VM, Ilina EN, Afanasyev BV. Long-term impact of fecal transplantation in healthy volunteers. BMC Microbiology. 2019; vol. 19, Article No.: 312.
12. Glucksberg H, Storb R, Fefer A, Buckner CD, Neiman PE, Clift RA et al. Clinical manifestations of graft-versus-host disease in human recipients of marrow from HL-A-matched sibling donors. Transplantation. 1974;18(4):295-304.
13. 13. Martin PJ, Bachier CR, Klingemann H-G, McCarthy PL, Szabolcs P, Uberti JP et al. Endpoints for clinical trials testing treatment of acute graft-versus-host disease: a consensus document. Biol Blood Marrow Transplant. 2009; 15(7): 777. doi:10.1016/j.bbmt.2009.03.012.
14. Lewis SJ, Heaton KW. Stool form scale as a useful guide to intestinal transit time. Scand J Gastroenterol. 1997; 32(9): 920-924.
15. Common terminology criteria for adverse events (CT-CAE). Version 5.0. Published: November 27, 2017. https:// ctep.cancer.gov/protocolDevelopment/electronic_applica-tions/docs/CTCAE_v5_Quick_Reference_8.5x11.pdf.
16. WHO guidelines on the pharmacological treatment of persistingpain in children with medical illnesses Geneva: World Health Organization; 2012. PMID: 23720867.
17. WHO Guidelines for the Pharmacological and Radi-otherapeutic Management of Cancer Pain in Adults and Adolescents. Geneva: World Health Organization; 2018. https://www.who.int/ncds/management/palliative-care/can-cer-pain-guidelines/en/
18. Wickham H. ggplot2: Elegant Graphics for Data Analysis. 2016. Springer-Verlag, New York.
19. Kassambara A. 2019. ggpubr: 'ggplot2' Based Publication Ready Plots. R package version 0.2.4. https://CRAN.R-pro-ject.org/package=ggpubr.
20. Shono Y, Docampo MD, Peled JU, Perobelli SM, Velar-di E, Tsai JJ, Slingerland AE, Smith OM, Young LF, Gupta J, Lieberman SR, Jay HV, Ahr KF, Porosnicu Rodriguez KA, Xu K. Increased GvHD-related mortality with broad-spectrum antibiotic use after allogeneic hematopoietic stem cell transplantation in human patients and mice. Sci Transl Med. 2016;8(339): 339ra71. doi:10.1126/scitranslmed.aaf2311.
21. El Hage R, Hernandez-Sanabria E, Van de Wiele T. Emerging trends in "Smart Probiotics": functional consideration for the development of novel health and industrial applications. Front Microbiol. 2017; DOI: 10.3389/ fmicb.2017.01889.
22. Jian C, Luukkonen P, Yki-Jarvinen H, Salonen A, Korpela K. Quantitative PCR provides a simple and accessible method for quantitative microbiota profiling. PLoSOne. 2020; 15(1):e0227285. DOI: 10.1371/journal.pone.0227285.
Bacteroides frogilis - потенциальный маркер эффективной трансплантации микробиоты при лечении острой реакции «трансплантат против хозяина»
Олег В. Голощапов Евгений А. Бакин Максим А. Кучер Оксана В. Станевич Мария А. Суворова 2, Владимир В. Гостев 3, Олег С. Глотов 4, Юрий А. Эйсмонт 4, Дмитрий Е. Полев 5, Анастасия Ю. Лобенская 5, Руслана В. Клементьева Мария О. Голощапова Людмила С. Зубаровская Сергей В. Сидоренко 3, Александр Н. Суворов 4, Иван С. Моисеев Алексей Б. Чухловин 1
1 НИИ детской онкологии, гематологии и трансплантологии им. Р. М. Горбачевой, Первый Санкт-Петербургский государственный медицинский университет им. акад. И. П. Павлова, Санкт-Петербург, Россия
2 Научная лаборатория Эксплана, Санкт-Петербург, Россия
3 Детский научно-клинический центр инфекционных болезней, Санкт-Петербург, Россия
4 Городская больница №40, Санкт-Петербург, Россия
5 ООО «Сербалаб», Санкт-Петербург, Россия
6 Институт экспериментальной медицины, Санкт-Петербург, Россия
Резюме
Показания, технология, методы контроля динамики и приживления микробиоты при трансплантации фекальной микробиоты (ТФМ), нуждаются в стандартизации. Целью работы было сравнение возможностей и результатов полимеразной цепной реакции в режиме реального времени (ПЦР) и методики 168-секвенирования для контроля динамики состава фекальной микробиоты у пациентов после ТФМ.
Пациенты и методы
В проспективное, одноцентровое исследование включено 27 пациентов с острой и хронической (оуег1ар-синдром) реакцией «трансплантат против хозяина» (РТПХ) желудочно-кишечного тракта после аллогенной трансплантации гемопоэтических стволовых клеток (алло-ТГСК). У 19 пациентов проводили ТФМ, преимущественно, с ингестией капсул. В контрольную группу вошли 8 пациентов, получавшие плацебо. Количественные изменения бактериального состава микроорганизмов фекальной микробиоты оценивали методом ПЦР и 168-секвенирования в сроки от 3 до 120 сут. после ТФМ. Клинический ответ определяли по 4 шкалам оценки кишечного синдрома и РТПХ.
Результаты
При оценке консистенции стула по Бристольской шкале, как показателя эффективности терапии РТПХ, полный клинический ответ к Д+120 после ФМТ отмечен в 9 случаях (47% с оценкой Бристоля <4 баллов), у 9 пациентов (47%) - улучшение консистенции стула (>4 балла). В группе плацебо полный или частичный ответ был выявлен, соответственно, у 1 (13%) и 4 (50%) пациентов. Мультиплексная ПЦР фекальной микробиоты в режиме реального времени показала различную динамику у
пациентов после ТФМ или плацебо, по сравнению с исходными уровнями до ТФМ. Общая бактериальная масса и число генокопий отдельных микробных видов значительно повышались после ТФМ. Такие изменения были особенно показательными через 30 сут. для общей микробной массы (p=0,002); Escherichia coli (p=0,001); Bacteroides fragilis group (p=0,05); Faecalibacterium prausnitzii (p=0,005). В то же время количества Lactobacillus spp. и Bacteroides thetaiotaomicron, в целом, не изменялись на протяжении этого периода. Кроме того, в контрольной группе не выявлено существенных изменений фекальной микробиоты против исходных уровней в течение всего периода наблюдений. Также обнаружены некоторые различия в динамике микробиоты для подгрупп с полным ответом, частичным/отсутствием ответа: Bifidobacterium spp. (р<0,047), E.coli (р<0,00047), B.fragilis group (p=5,6x10-5), F.prausnitzii (р<0,0062).
Выводы
Полуколичественная ПЦР основных бактериальных групп кишечной микробиоты, в т.ч. Bifidobacterium spp., Escherichia coli, B.fragilis group, F.prausnitzii может использоваться как микробиологический показатель оценки микробного ландшафта после ФМТ в качестве рутинной молекулярно-биологической методики. Число генокопий B.fragilis group коррелирует с клиническим ответом у пациентов с кишечной формой РТПХ после алло-ТГСК после процедуры ТФМ.
Ключевые слова
Реакция «трансплантат против хозяина», фекальная микробиота, трансплантация, Bacteroides fragilis, по-лимеразная цепная реакция, мультиплексная, секве-нирование следующего поколения, ген 16S рРНК.