Front. Med. Frontiers in Medicine Front. Med. 2296-858X Frontiers Media S.A. 10.3389/fmed.2022.773105 Medicine Systematic Review Features of Gut Microbiome Associated With Responses to Fecal Microbiota Transplantation for Inflammatory Bowel Disease: A Systematic Review Zhang Jindong 1 † Guo Yangyang 2 † Duan Liping 1 * 1Department of Gastroenterology, Peking University Third Hospital, Beijing, China 2Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China

Edited by: Angel Lanas, University of Zaragoza, Spain

Reviewed by: Longxian Lv, Zhejiang University, China; Faming Zhang, Nanjing Medical University, China; Jingyuan Fu, University Medical Center Groningen, Netherlands

 *Correspondence: Liping Duan duanlp@bjmu.edu.cn

This article was submitted to Gastroenterology, a section of the journal Frontiers in Medicine

†These authors have contributed equally to this work and share first authorship

 26 05 2022 2022 9 773105 29 09 2021 19 04 2022 Copyright © 2022 Zhang, Guo and Duan. 2022 Zhang, Guo and Duan

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Fecal microbiota transplantation (FMT) has been seen as a novel treatment for inflammatory bowel disease (IBD). The results on microbial alterations and their relationship to treatment efficacy are varied among studies. We performed a systematic review to explore the association between microbial features and therapy outcomes. We searched PubMed, Web of Science, Embase, and Cochrane Library databases from inception to November 2020. Studies that investigated the efficacy of FMT and baseline microbial features or dynamic alteration of the microbiome during FMT were included. The methodological quality of the included cohort studies and randomized controlled trials (RCTs) was assessed using the Newcastle–Ottawa Scale (NOS) and the Cochrane risk of bias tool, respectively. A total of 30 studies were included in the analysis. Compared to non-responders, the microbial structure of patients who responded to FMT had a higher similarity to that of their donors after FMT. Donors of responders (R-d) and non-responders (NR-d) had different microbial taxa, but the results were inconsistent. After FMT, several beneficial short-chain fatty acids- (SCFA-) producing taxa, such as Faecalibacterium, Eubacterium, Roseburia, and species belonging to them, were enriched in responders, while pathogenic bacteria (Escherichia coli and Escherichia-Shigella) belonging to the phylum Proteobacteria were decreased. Alterations of microbial functional genes and metabolites were also observed. In conclusion, the response to FMT was associated with the gut microbiota and their metabolites. The pre-FMT microbial features of recipients, the comparison of pre- and post-FMT microbiota, and the relationship between recipients and donors at baseline should be further investigated using uniform and standardized methods.

 gut microbiome microbial metabolites fecal microbiota transplantation response inflammatory bowel disease National Natural Science Foundation of China10.13039/501100001809 National Key Research and Development Program of China10.13039/501100012166 Introduction

Inflammatory bowel disease (IBD) is a chronic and relapsing intestinal disorder that is typically categorized into two subtypes, including ulcerative colitis (UC) and Crohn's disease (CD), and has become a global disease in the 21st century (1). Although the pathophysiological mechanisms of IBD remain unclear, increasing evidence suggests that the disease is caused by the interaction between complex genetic, environmental, and microbial factors, thereby triggering immune-mediated intestinal inflammation (2).

Previous studies have reported the alteration in gut microbiota composition (known as dysbiosis) in patients with IBD, which is characterized by the depletion of Roseburia hominis, Akkermansia muciniphila, Faecalibacterium prausnitzii, and Eubacterium rectale, and enrichment of Escherichia coli (3, 4). Furthermore, patients with IBD exhibit a dramatic alteration in their gut microbiota-derived metabolite profiles compared to the healthy population (5). Based on these findings, therapeutic methods targeting microbiota or their metabolites, such as dietary optimization, probiotics, antibiotics, and fecal microbiota transplantation (FMT), have been applied in clinical practice (6, 7).

Fecal microbiota transplantation has already been recommended to treat recurrent Clostridium difficile infection (8). This provides supporting evidence for FMT as a potential treatment method for other intestinal diseases such as IBD. In recent years, there have been increasing studies of the efficacy of FMT for IBD treatment (9), but the clinical outcome is inconsistent among recipients, and the factors affecting its treatment response have been poorly investigated.

With the rapid development of microbiome sequencing technology, more and more researchers have focused on the use of microbiome as a predictive biomarker of clinical outcome and treatment response of FMT (10, 11). Thus, we conducted this systematic review to summarize the current findings on the relationship between microbiota and treatment response of FMT in patients with IBD.

 Materials and Methods Search Strategy

A systematic search was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (12). We searched four databases: PubMed, Web of Science, Embase, and Cochrane Library from inception to 2 November 2020. The search terms covering expressions for fecal, microbiota, transplant, and IBD are listed in the Supplementary Materials.

 Study Selection

Studies were included if they investigated the efficacy of FMT and baseline microbial features or dynamic alteration of the microbiome during FMT in both pediatric and adult patients with IBD.

Studies were excluded if they were: (1) reviews, guidelines, or comments, (2) animal studies, (3) studies that did not involve microbial data, and (4) studies that did not assess treatment response.

 Data Extraction

After excluding studies whose title and abstract clearly did not meet our inclusion criteria, the full text of the remaining studies was reviewed to determine eligibility. The following information was extracted from eligible studies: authors' names, years of publication, country of origin, patient demographics, IBD types and disease activity, donor characteristics, FMT procedure, clinical outcome or treatment response of FMT, and microbial data.

 Quality Assessment

The Newcastle–Ottawa scale (NOS) containing three criteria (selection, comparability, and exposure) was used to assess the quality of the included cohort studies, following the standard 9-point scale, and randomized controlled trials (RCTs) were assessed using the Cochrane risk of bias tool, which incorporate the evaluation of selection, performance, detection, attrition, and reporting bias (13).

 Results Study Selection

After initial research, a total of 9,307 records were identified, which were reduced to 5,975 after the removal of internal and external duplicates. Titles and abstracts of 5,975 records were screened, 84 of which were retained for full-text review. Overall, a total of 30 articles or abstracts satisfied the inclusion criteria for this systematic review (Figure 1). The results of the quality assessment for cohort studies and RCTs are presented in Supplementary Tables S1, S2. The quality scores of the 20 studies ranged from 5 to 9 (moderate to high quality). The risk of bias was high in Sokol et al. and Kong et al. because their trials were single-blind, while the remaining studies were at low risk.

PRISMA flow diagram of the study selection. FMT, fecal microbiota transplantation; IBD, inflammatory Bowel disease.

 Study Characteristics

The characteristics of the included studies are presented in Supplementary Table S3. Eligible studies included two case reports (14, 15), one case series (16), 20 prospective cohort studies (17, 18), and seven RCTs, of which 29 studies reported on 978 patients, except for one study with no reported patient numbers. A total of 20 studies recruited only patients with UC, six studies recruited only patients with CD, and four studies recruited both the conditions.

 Protocols of FMT

The scope of donor selection and donor stool preparation varied between studies (Table 1). Six studies used pooled donor stool (2–7 donors) to increase microbial diversity while the remaining ones used stool from a single donor. The ratios of stool weight to vehicle volume used for preparation ranged from 1:0.75 to 1:10, and the final volumes of fecal suspension for FMT were 100–500 ml per treatment. Particularly, the studies by Li et al. (11) and Zhang et al. (35) used washed microbiota transplantation (41). Antibiotic pretreatment was used in six studies (22, 26). The colonoscope was the most adopted route by researchers, and the infusion sites included the cecum, terminal ileum, and colon. The frequency of FMT varied between studies.

Summary of stool preparation and delivery methods.

References Donor relationship Donor stool Fresh/frozen Stool preparation Dosage per treatment Pre-antibiotics Pre-medication FMT route Region of infusion Number of infusions
Kao et al. (14) Unrelated Single donor Fresh 1:4 of stool: saline 400 ml None None Colonoscopy Cecum 1
Shimizu et al. (15) Related (father) Single donor Fresh Stool diluted in 250 ml saline 250–300 ml None None Colonoscopy for the first time, then enema Throughout the colon (colonoscopy) 16 (daily for first 5 days, then every 2–4 weeks over 10 months)
Quagliariello et al. (16) Related (father) Single donor Fresh Stool diluted in saline at ratio 50 g/200 ml NR None None Colonoscopy Cecum or duodenum-jejunum 1
Angelberger et al. (17) Unrelated Single donor* Fresh 60 g mixed with 250 ml saline Median: Nasojejunal infusion 24 g; Enema: 20 g Metronidazole 500 mg bid for 5–10 days Probiotics$, pantoprazole Nasojejunal tube and enema Jejunum 3 (daily for 3 consecutive days)
Suskind et al. (18) Related (parent) Single donor Fresh 30 g mixed with 100–200 ml saline 30 g Rifaximin 200 mg tid for 3 days Omeprazole Nasogastric tube Stomach 1
Vaughn et al. (19) Unrelated Single donor Frozen 50 g mixed with 250 ml saline 250 ml None None Colonoscopy Terminal ileum to colon 1
Vermeire et al. (20) Related (sibling or parent), unrelated (friend) Single donor Fresh 200 g homogenized with 400 ml saline 400 ml None None Nasojejunal tube or rectal tube Jejunum; rectum 2
Jacob et al. (21) Unrelated Pooled (2 donors) Frozen 60 ml from each donor pooled 120 ml None None Colonoscopy Ileum and right colon 1
Ishikawa et al. (22) Related (spouses or relatives) Single donor Fresh 150–250 g diluted with 350–500 ml saline 350–500 ml Amoxicillin (1,500 mg/d), fosfomycin (3,000 mg/d), metronidazole (750 mg/d) for 2 weeks None Colonoscopy Cecum and ascending colon (2/3 of the volume), transverse colon (1/3 of the volume) 1
Nishida et al. (23) Related (relatives within the second degree of relationship) Single donor Fresh 150–200 g dissolved in 500 ml saline 500 ml None None Colonoscopy Cecum 1
Goyal et al. (24) Family members, first-degree relatives, or trusted friends Single donor Fresh 150 g stool blended using 250–300 ml saline Duodenum or jejunum: 20–30 ml; ileum and colon: 200–250 ml Metronidazole or vancomycin 10 mg/kg tid for 5 days Omeprazole, loperamide Colonoscopy Distal duodenum or proximal jejunum; ileum and right colon 1
Karakan et al. (25) NR NR NR NR NR NR NR NR NR NR
Kump et al. (26) Related or unrelated Single donor Fresh 50 g stool diluted with 200–500 ml saline 250–500 ml Vancomycin 250 mg qid, paromomycin 250 mg tid, nystatin 10 ml qid for 10 days None Colonoscopy for the first time, then sigmoidoscopy Terminal ileum and right colon (colonoscopy); left colon (sigmoidoscopy) 5 (in 14 days intervals)
Nusbaum et al. (27) Family members or friends Single donor Fresh Stool blended in saline 240 ml maximum None None Retention enema NR 5 (daily for 5 days)
Cold et al. (28) Unrelated Pooled (4 donor) Frozen Stool homogenized with 500 ml saline, then concentrated and encapsulated ~12 g None None Capsules Oral administration 25 capsules daily for 50 days
Fan et al. (29) Unrelated Pooled (2–3 donor) NR NR NR NR NR Capsules Oral administration 3 days per week
Gogokhia et al. (30) Unrelated Pooled (2 donors) Frozen 60 ml from each donor pooled 120 ml None None Colonoscopy Ileum and right colon 1
Gutin et al. (31) Unrelated NR Frozen NR 250 ml Rifaximin 550 mg tid for 5 days# None Colonoscopy Terminal ileum or neoterminal ileum 1
Chen et al. (32) Unrelated Single donor Frozen 150–200 g stool dissolved in 1,000 ml saline 150 ml (~50 cm3 microbiota) None None Transendoscopic enteral tubing (TET) Entire colon 3
Li et al. (11) Relatives or friends or unrelated Single donor Fresh or frozen Preparation by automatic microbiota purification system NR None None Gastroscopy, colonic TET, mid-gut TET Stomach, Ileocecum, distal duodenum 1
Ohmiya et al. (33) NR NR Fresh NR NR NR NR Colonoscopy (UC); oral enteroscopy (CD) NR 1
Schierová et al. (34) Unrelated Single donor Frozen 50 g dissolved in 150 ml saline 150 ml None None Enema NR 10 (5 times in the first week, then once a week for 5 weeks)
Zhang et al. (35) Unrelated NR Fresh or frozen Preparation by automatic microbiota purification system NR None None NR NR NR
Rossen et al. (36) and Fuentes et al. (37) Partners, relatives, or volunteers Single donor Fresh Median 120 g stool diluted in 500 ml saline 500 ml None None Nasoduodenal tube Duodenum 2 times at a 3-week interval
Costello et al. (38) Unrelated Pooled (3–4 donors) Frozen pooled stool (25%) blended with saline (65%) and glycerol (10%) Colonoscopic delivery: 50 g/200 ml; enema: 25 g/100 ml None Loperamide Coloscopy for the first time, then enema Right colon (colonoscopy) 3 (coloscopy for the first time, then enema 2 times in the following 7 days)
Sokol et al. (39) and Kong et al. (40) Unrelated Single donor Fresh 50–100 g stool resuspended in 250–350 ml saline 300 ml None None Colonoscopy NR 1

CD, Crohn's disease; NR: not recorded; UC, ulcerative colitis.

One patient in this study received fecal microbiota transplantation (FMT) from two different donors.

Three patients in this study used rifaximin while others did not.

Saccharomyces boulardii or Omnibiotic 6.

 Clinical Outcomes

Clinical outcomes, including clinical response, clinical remission, and endoscopic remission, are shown in Supplementary Table S4. Follow-up after FMT varied between 1 and 35 months, and the most commonly used endpoint was 12 weeks. In cohort and RCT studies, 18 studies reported the clinical response rate of patients with UC ranging from 20 to 100%, and the clinical response rate of patients with CD reported in seven studies varied between 20 and 75%. The clinical remission rate of patients with UC and CD ranged from 0 to 71.4% and from 10 to 87.5%, respectively. Eight studies reported the endoscopic remission of patients with UC, ranging from 0 to 50%, while only one study on CD reported that no patients achieved endoscopic remission.

 Microbial Sequencing Results

Differences in sample collection and sequencing are listed in Supplementary Table S5. Two studies used both stool and mucosal biopsy specimen for sequencing, and the remaining studies used stool samples. 16S rRNA sequencing was the most adopted method, and other methods included polymerase chain reaction (PCR) and terminal restriction fragment-length polymorphism (T-RFLP) analysis, HITChip, and metagenomic shotgun sequencing. In the case of 16S rRNA sequencing, the 16S rRNA variable regions used for DNA amplification, the sequencing and data analysis platform, and the reference database varied between studies.

Microbial Difference Between FMT Donors of Responders and Non-responders

A total of 15 studies reported the relationship between donor gut microbiota and the clinical response (Table 2). Microbial structural similarities between pre-FMT recipients and their donors were lower in responders than in non-responders by Goyal et al. (24) and Cold et al. (28). For post-FMT samples, six studies (19, 24, 27, 29, 34, 36) reported a significant increase in similarity to corresponding donors in responders compared to non-responders, and a case report by Kao et al. (14) also showed that the fecal microbial composition of the patient and the donor closely resembled each other after FMT. Furthermore, Cold et al. (28) found that the microbial composition of responders became closer to their donor than the nonresponders did.

Association between donor microbiota and the response to FMT.

References Microbial similarity between pre-FMT patients and donors Microbial similarity between post-FMT patients and donors Comparison between R-d and NR-d
Kao et al. (14) ↑
Suskind et al. (18) Not sure
Vaughn et al. (19) R > NR
Vermeire et al. (20) Richness: R-d > NR-d
Jacob et al. (21) Significant difference of structure between R-d and NR-d
Nishida et al. (23) Bifidobacterium: R-d > NR-d; Lactobacillales, Clostridium cluster IV, and Clostridium cluster XI: R-d < NR-d
Goyal et al. (24) R < NR (difference not significant) R > NR α-diversity: R-d = NR-d; β- diversity: R-d = NR-d
Karakan et al. (25) Richness: R-d > NR-d; Akkermansia muciniphila, Faecalibacterium prausnitzii, Ruminococcus: R-d > NR-d
Kump et al. (26) Richness and diversity: RE-d > NR-d; significant difference of structure between RE-d and NR-d; Actinobacteria, unclassified Ruminococcaceae, an unclassified Ruminococcus and Akkermansia muciniphila: RE-d > NR-d
Nusbaum et al. (27) R > NR
Cold et al. (28) R < NR ΔR > ΔNR
Fan et al. (29) R > NR
Schierová et al. (34) R > NR
Rossen et al. (36) R > NR

FMT, fecal microbiota transplantation; R, responders; NR, non-responders; R-d, donors of responders; NR-d, donors of non-responders; RE, remission.

Δ, alteration degree.

Several studies compared the microbiota between the donors of responders (R-d) and non-responders (NR-d). Three studies (20, 25, 26) reported higher richness in R-d than in NR-d, while the study by Goyal et al. (24) showed no significant difference in richness between R-d and NR-d. The microbial structure of R-d and NR-d was significantly different in the studies by Jacob et al. (21) and Kump et al. (26), but not in the study by Goyal et al. (24).

In terms of microbial taxa difference, the abundance of A. muciniphila and Runimococcuus. spp. was elevated in R-d compared to NR-d in two studies consistently (25, 26), and other enriched bacteria phyla or genera included Actinobacteria, unclassified Ruminococcaceae (26), Bifidobacterium (23), F. prausnitzii (25), Bacteroides fragilis, and Bacteroides finegoldii (10). In addition, the relative abundance of Lactobacillales, Clostridium cluster IV, Clostridium cluster XI (23), and Clostridium XIVa (10) were higher in the feces of the donors of non-responders than that of the donors of responders. Particularly, one study reported that terpenoid backbone biosynthesis pathways in the microbiota were enriched in R-d (10).

 Microbial Difference Between FMT Responders and Non-responders α-Diversity

The majority of the included studies compared gut microbial diversity and composition between FMT responders and non-responders, by assessing α-diversity and bacterial abundance. Details of these findings are listed in Table 3. As for the α-diversity of pre-FMT samples, the results were discrepant in three studies, presenting higher diversity expressed by the number of OTUs and Shannon index (10), lower diversity reflected by observed OTUs (24) (difference not significant), or no difference (34) in the responders. In three of the seven studies comparing the α-diversity of post-FMT in responders to non-responders, the increasing degree in diversity was significantly greater for responders vs. non-responders (19, 24, 27), two studies showed increased values of α-diversity for responders than for non-responders (10, 36), and only one study reported no difference between responders and non-responders (23).

Comparison of α-diversity between responders and non-responders.

References Pre-FMT Post-FMT α-diversity
index
Vaughn et al. (19) ΔR > ΔNR Shannon
Nishida et al. (23) R = NR; R-d = NR-d Shannon
Goyal et al. (24) R < NR (difference not significant) ΔR > ΔNR Observed OTUs
Nusbaum et al. (27) ΔR > ΔNR Species richness, Shannon, Inverse Simpson
Rossen et al. (36) R ↑; NR no change Shannon
Paramsothy et al. (10) R > NR R > NR Number of OTUs, Shannon

FMT, fecal microbiota transplantation; R, responders; NR, non-responders.

Δ, alteration degree.

 Baseline Microbiome Composition

Two of the included studies analyzed the association between response and baseline microbiome composition. The study performed by Goyal et al. (24) demonstrated that responders contained a higher relative abundance of Fusobacterium than non-responders at baseline, and Gutin et al. (31) observed that the baseline microbiome of responders had higher counts of Enterobacteriaceae and Bifidobacterium members, whereas non-responders had greater abundance of Lachnospiraceae and Ruminococcaceae members.

 Differences in Microbiome Composition Between Responders and Non-responders

A number of differences were observed between responders and non-responders after FMT (Table 4). Several bacteria showed a relatively consistent trend in separate studies, in which the increased microorganisms included the phyla Bacteroidetes (22, 36), the family Lachnospiraceae (14, 27, 30, 31, 34), and the genera Collinsella (33, 34), Bacteroides (14, 15), Blautia (14, 34), Faecalibacterium (14, 15, 33, 34), Eubacterium (11, 15), Clostridium clusters IV (36, 42), Roseburia (14, 20, 27), and Ruminococcus (11, 30, 42). In contrast, the relative abundance of the genera Enterococcus (14, 37), Lactobacillus (14, 34), Veillonella (10, 37), and Sutterella (14, 42) was reported to decrease in responders. For the species level, responders had an increased abundance of the species Ruminococcus bromii (10, 16), Eubacterium hallii (10, 37), Eubacterium ventriosum (19, 37), and F. prausnitzii (17, 27, 32), and reduced abundance of species Bacteroides vulgatus (19, 37), E. coli (18, 30, 37), Escherichia-Shigella (29, 30), and Sutterella wadsworthensis (10, 37). A few of bacteria showed an opposite changing trend in their abundance, including the family Ruminococcaceae (33, 34) and Christensenellaceae (30, 34), the genus Escherichia (10, 15), and the species Bacteroides ovatus (16, 17, 19, 37) and Ruminococcus gnavus (16, 37).

Microbial difference between responders and non-responders after FMT.

Studies Total
Microbial taxa 14 15 16 17 18 19 20 22 26 27 29 30 31 32 11 33 34 36 37 42 10 ↑ ↓
Actinobacteria
Collinsella ↑(CD) ↑ 2 0
Bacteroidetes ↑ ↑ 2 0
Bacteroides ↑ ↑ 2 0
Bacteroides ovatus ↑ ↑ ↓ ↓ 2 2
Bacteroides vulgatus ↓ ↓ 0 2
Firmicutes
Lachnospiraceae ↑ ↑ ↑ ↑ ↓(UC) ↑ 5 1
Ruminococcaceae ↓(UC) ↑ 1 1
Christensenellaceae ↑ ↓ 1 1
Blautia ↑ ↑ 2 0
Faecalibacterium ↑ ↑ ↑(UC) ↑ 4 0
Eubacterium ↑ ↑ 2 0
Clostridium clusters IV ↑ ↑ 2 0
Clostridium clusters XIVa ↑ ↑ ↓ 2 1
Roseburia ↑ ↑(UC) ↑ 3 0
Enterococcus ↓ ↓ 0 2
Lactobacillus ↓ ↓ 0 2
Ruminococcus ↑ ↑ ↑ 3 0
Veillonella ↓ ↓ 0 2
Dialister ↑(CD) ↓ ↓ 1 2
Ruminococcus bromii ↑ ↑ 2 0
Ruminococcus gnavus ↓ ↑ 1 1
Eubacterium hallii ↑ ↑ 2 0
Eubacterium ventriosum ↑ ↑ 2 0
Faecalibacterium prausnitzii ↑ ↑ ↑ 3 0
Proteobacteria
Sutterella ↓ ↓ 0 2
Escherichia ↑ ↓ 1 1
Escheria coli ↓ ↓ ↓ 0 3
Escherichia-Shigella ↓ ↓ 0 2
Sutterella wadsworthensis ↓ ↓ 0 2

Only taxa reported by at least two separate studies are displayed.

CD, Crohn's disease; FMT, fecal microbiota transplantation; UC, ulcerative colitis.

↑, higher abundance in responders compared with non-responders; ↓, lower abundance in responders compared with non-responders.

 Association Between Individual Bacteria and Clinical Phenotypes

A few studies assessed correlations between gut microbiota and clinical outcomes or disease biomarkers (Table 5). Enterobacteriaceae (17), E. coli (18), an OTU belonging to F. prausnitzii (28), taxa belonging to the class Gammaproteobacteria and the order Clostridiales comprising Ruminococcus gnavus (39), and engraftment of Proteobacteria and Bacteroidetes (40) were found to be correlated with higher disease severity or relapse in separate studies. In contrast, two studies showed a negative correlation between endoscopic sum score and Bacteroidetes (22), and F-calprotectin levels and α-diversity (28), respectively. Furthermore, three other studies found that certain bacteria benefited the clinical outcome. Li et al. (11) demonstrated that the differences of abundance in Eggerthella, Lactobacillus, and Ruminococcus between pre- and post-FMT were positively correlated with efficacy. In the trial by Costello et al. (38), increased abundance of Anaerofilum pentosovorans and Bacteroides coprophilus was strongly associated with disease improvement following FMT. In addition, Ruminococcaceae, Coprococcus, and Desulfovibrio were associated with the maintenance of remission after FMT (39).

Correlation between microbiota and clinical phenotypes.

References Microbial taxa Clinical phenotypes Correlation
Angelberger et al. (17) Enterobacteriaceae Mayo score +
Suskind et al. (18) E. coli Calprotectin and disease activity +
Ishikawa et al. (22) Bacteroidetes Endoscopic sum score –
Cold et al. (28) An OTU belonging to Faecalibacterium prausnitzii SCCAI +
α-diversity F-calprotectin levels –
Li et al. (11) The differences of the relative abundance in genera Eggerthella, Lactobacillus, and Ruminococcus between pre-FMT and 5 days post-FMT Clinical efficacy +
Costello et al. (38) Anaerofilum pentosovorans, Bacteroides coprophilus Disease improvement +
Sokol et al. (39) Taxa belonging to Gammaproteobacteria and Clostridiales comprising Ruminococcus gnavus Flare +
Ruminococcaceae, Coprococcus, Desulfovibrio Maintenance of remission +
Kong et al. (40) Engraftment of Proteobacteria and Bacteroidetes Relapse +

FMT, fecal microbiota transplantation; SCCAI, Simple Clinical Colitis Activity Index. +, positive; –, negative.

 Differences in Bacterial Metabolic Pathways or Metabolites

Detailed findings of bacterial metabolic pathways or metabolites are provided in Table 6. Pathways related to increased energy metabolism or components needed for bacterial cell surface or cell walls were increased in responders after FMT compared to non-responders (19), while pathways related to the biosynthesis of Heme, lipopolysaccharide/lipid A, peptidoglycan, ubiquinone and lysine, and oxidative phosphorylation were increased in non-responders (10). Moreover, a study performed by Kong et al. revealed that relapsers after FMT have a depletion in community potential for anaerobic, energy metabolism, NAD biosynthesis, and transfer RNA charging pathways (40). Regarding bacterial metabolites, the metabolomic profile of responders shifts to donors after FMT in the study of Nusbaum et al. and, in particular, fecal butyrate acid increased in responders, which is consistent with the finding by the study of Ohmiya et al. (33). However, fecal butyrate acid and other short-chain fatty acids (SCFA) concentrations were not associated with treatment effect in another study (38).

Alterations of microbial gene pathways or metabolites.

References Alterations of microbial gene pathways or metabolites
Vaughn et al. (19) ↑ in R: Pathways related to energy metabolism or components needed for bacterial cell surface or cell walls (serine and glutamine metabolic pathways, folic acid metabolic pathways, and lipid A biosynthetic pathways)
Nusbaum et al. (27) Metabolomic profile of R shifts to donors after FMT; ↑ in R: Xanthine, oleic acid, butyric acid; ↓ in R: Putrescine, 5-aminovaleric acid, acetic acid
Fan et al. (29) ↑ in R: taurochenodeoxycholate and taurocholate
Ohmiya et al. (33) ↑ in R of CD: butyrate and secondary bile acids
Paramsothy et al. (10) ↑ in NR: heme biosynthesis, lipopolysaccharide/lipid A biosynthesis, peptidoglycan biosynthesis, ubiquinone and other terpenoid quinine biosynthesis, lysine biosynthesis, and oxidative phosphorylation pathways; ↑ in NR: heme, lysine; ↓ in NR: biotin, dehydrolithocholate
Costello et al. (38) Stool SCFA concentrations were not associated with treatment effect
Kong et al. (40) Relapsers had a depletion in community potential for anaerobic, energy metabolism, the NAD biosynthesis and transfer RNA charging pathways

CD, Crohn's disease; FMT, fecal microbiota transplantation; R, responders; NR, non-responders; SCFA, short chain fatty acids.

 Discussion

Gut dysbiosis has drawn increasing attention for its role in the pathogenesis of IBD. Numerous studies have described the gut microbial features in patients with IBD (3), thus promoting the development of microbiota-targeted therapeutic methods, such as FMT. Given the heterogeneity of clinical outcomes in individual patients with IBD after receiving FMT, a better understanding of the factors that influence the response to FMT will help to optimize the treatment strategy. In this systematic review, we focused on the microbial distinction between FMT responders and non-responders, and the results showed several convergent findings.

First of all, the delivery route is a significant factor that influences treatment efficacy. The most used route was the colonoscope, while other routes included capsules, nasoduodenal tube, nasojejunal tube, transendoscopic enteral tubing (TET), and retention enema. Previous systemic review and meta-analysis have reported that the remission rate of patients with UC receiving FMT through lower gastrointestinal (GI) administration was much higher than that of upper GI administration (43, 44). It seems that the lower GI route has a trend of superiority over the upper GI route for the treatment of IBD, and this needs to be investigated in further research.

The numbers of infusions and follow-up duration also differed among the studies. There is no uniform conclusion on the lasting time of FMT effect. Li et al. (45) reported that the median time of maintaining clinical response to FMT in 69 patients with CD was 125 days in the first place. Among the 56 patients who received the second FMT, the time of maintaining clinical response was 176.5 days. Their data demonstrated that patients with CD should be given the second course of FMT within 4 months after the first FMT to maintain the clinical benefits of the first FMT.

Stool is a non-standardized material with heterogeneous microbial composition between individual donors, thus the donor stool is a key determinant for a successful FMT. Six of the included studies applied multi-donor stool preparation to increase microbial diversity and the possibility of recipients receiving therapeutically effective donor stool. When analyzing microbial features, we found that the structural difference between responders and donors was larger than that between non-responders and donors. However, responders had a higher increasing degree of microbial similarity to donors than non-responders. This perhaps means that the higher abundance of certain bacterial species in donors is conducive to FMT treatment. By comparing the microbial composition of R-d and NR-d, we observed that R-d had a higher richness and different microbial structure from donors of non-responders in most studies. This further supports the view that successful FMT was highly donor-dependent, and suggests us the necessity to incorporate the analysis of microbiota into the screening of donor stools in the future.

Microbial diversity is a crucial indicator of community stability and function. Decreased diversity was observed in many diseases compared to healthy controls, including IBD (3). In this review, we found that most of the studies reported higher diversity or a greater degree of increased diversity in responders than in non-responders, thus it can be speculated that the effective treatment may be a result of the restoration of microbial homeostasis.

The acquirement of baseline microbial features of patients is needed to predict the FMT outcome. However, only two studies compared the microbiome composition between responders and non-responders. Intriguingly, in addition to the probiotic genera Bifidobacterium, Fusobacterium, and Enterobacteriaceae, the two potentially pathogenic microorganisms, were also higher in abundance in responders' pre-FMT microbiome. Fusobacterium were capable of introducing host inflammatory or tumorigenic responses, predominantly by its unique FadA adhesin (46), and the family Enterobacteriaceae was associated with severe infectious diseases (47). These findings were consistent with the higher increasing degree of microbial similarity to donors in responders by Goyal et al. (24), and whether a bigger gap between responders and their donors might result in more effective treatment deserves further investigation.

Regarding the microbial alteration after FMT, we observed some common patterns. Responders presented an increase in relative abundances of SCFA-producing bacteria, such as the genera Blautia, Faecalibacterium, Eubacterium, Roseburia, and Ruminococcus, all of which were core genera in the healthy population worldwide (48). Among them, the important role of Faecalibacterium and Roseburia in IBD has been recognized in recent years. It has been generally shown that patients with IBD had a lower abundance of F. prausnitzii and, furthermore, active patients had a lower abundance of F. prausnitzii than patients in remission (49). In previous preclinical experiments, F. prausnitzii has been proven to efficiently alleviate intestinal inflammation, mainly by blocking nuclear factor kappa B (NF-κB) activation and pro-inflammatory cytokine production, and promoting anti-inflammatory IL-10 secretion (50). A recent study revealed that F. prausnitzii-derived butyrate exerted an anti-inflammatory effect by upregulating the expression of Dact3, a gene involved in the Wnt/JNK pathway (51). Roseburia is another butyrate-producing genus, and could also serve as a biomarker for IBD (4). In general, Roseburia intestinalis and R. hominis are the two most studied species associated with IBD. In our review, however, two studies reported an increase in the abundance of Roseburia faecis (17) and Roseburia inulinivorans (10) in responders, respectively. Apart from butyrate production, Roseburia could also affect the host by its flagellin (52). Furthermore, one study specially focused on the genus Akkermansia (35). The positive correlation between the abundance of Akkermansia in responders' and donors' demonstrated its successful colonization in the gut. Intriguingly, this study found a co-occurrence relationship between Akkermansia and F. prausnitzii. This suggests us that the combination of these next-generation probiotics could serve as a supplementary method of FMT, so as to increase the response rate.

The abundance of certain pathogenic bacteria belonging to the phylum Proteobacteria was decreased after FMT in responders. These bacteria included E. coli and Escherichia-Shigella. E. coli has proven to have an abnormal immune and proinflammatory response in IBD (53). In addition, Enterococcus faecium V583 could secrete proteases to induce epithelial cell permeability (54), and promote intestinal cytokine expression. The elimination of these potential pathobionts may contribute to an effective response to FMT.

At the metabolic level, two studies reported increased butyrate concentrations in responders, which was consistent with the enrichment of butyrate-producing taxa in the studies. We also found an alteration of bile acids enriched in responders. Patients with IBD have reduced levels of lithocholic acid and deoxycholic acid (main secondary bile acids, SBA), and SBA supplementation could reduce intestinal inflammation (55). Although the results were divergent, microbial functional content analysis revealed differentially abundant pathways involved in energy metabolism and biosynthesis of virulence factors. Metabolic and functional alterations need to be further unraveled as studies on them are scarce.

Given the lack of a standardized procedure for FMT in patients with IBD, this systematic review had several limitations. Firstly, almost all studies only analyzed the microbiome from stool samples. However, mucosal microbiota may play a more important role due to their direct crosstalk with intestinal tissues. Hence, more studies concerning the mucosal microbiome associated with the response to FMT should be conducted in future research. Secondly, the different methods used for microbiota detection may lead to different conclusions about the microbial alteration. For example, the relative abundance of the potential probiotic species, B. ovatus, was reported to be increased in responders in two studies and decrease in the other two studies. These four studies used HITChip (37), whole-genome shotgun sequencing (19), pyrosequencing (17), and 16S amplicon sequencing (16), respectively, to assess the microbiota.

 Conclusions

In conclusion, our systematic review revealed that the response to FMT was associated with gut microbiota and their metabolites, and the different results among different studies were probably attributed to the methodology of FMT, such as ways of delivery and number of infusions (Figure 2). The pre-FMT microbial features of recipients, the comparison of pre- and post-FMT microbiota, and the relationship between recipients and donors at baseline should be further investigated using uniform and standardized methods to develop the gut microbiome as a new biomarker for predicting the treatment effect of FMT, and perhaps presupplementation or depletion of specific bacterial taxa or metabolic molecule could enhance the curative effect of FMT.

Microbial factors influencing response to fecal microbiota transplantation in inflammatory bowel disease.

 Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

 Author Contributions

JZ and YG: concept and design, database searching, literature screening, data interpretation, manuscript drafting, and final approval of manuscript. LD: concept and design, data interpretation, critical revision of manuscript, and final approval of manuscript. All authors contributed to the article and approved the submitted version.

 Funding

This work was supported by National Natural Science Foundation of China (Grant No. 82000510) and National Key R&D Program of China (Grant No. 2019YFA0905600).

 Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

 Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

 Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2022.773105/full#supplementary-material

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