Timing for the second fecal microbiota transplantation to maintain the long-term benefit from the first treatment for Crohn's disease

Pan Li, Ting Zhang, Yandong Xiao, Liang Tian, Bota Cui, Guozhong Ji, Yang-Yu Liu, Faming Zhang, Pan Li, Ting Zhang, Yandong Xiao, Liang Tian, Bota Cui, Guozhong Ji, Yang-Yu Liu, Faming Zhang

Abstract

Increasing evidence has shown that fecal microbiota transplantation (FMT) could be a promising treatment option for Crohn's disease (CD). However, the frequency of FMT for CD treatment remains unclear. This study aimed to evaluate the optimal timing for administering the second course of FMT to maintain the long-term clinical effects from the first FMT for patients with CD. Sixty-nine patients with active CD who underwent FMT twice and benefited from the first FMT were enrolled in this study. Clinical response, stool microbiota, and urine metabolome of patients were assessed during the follow-up. The median time of maintaining clinical response to the first FMT in total 69 patients was 125 days (IQR, 82.5-225.5). The time of maintaining clinical response to the second FMT in 56 of 69 patients was 176.5 days (IQR, 98.5-280). The fecal microbiota composition of each patient post the first FMT was closer to that of his/her donor. Compared to that of the baseline, patients prior to the second course of FMT showed significant differences in urinary metabolic profiles characterized by increased indoxyl sulfate, 4-hydroxyphenylacetate, creatinine, dimethylamine, glycylproline, hippurate, and trimethylamine oxide (TMAO). This study demonstrated that patients with CD could be administered the second course of FMT less than 4 months after the first FMT for maintaining the clinical benefits from the first FMT. This was supported by the host-microbial metabolism changes in patients with active CD. Trial registration: ClinicalTrials.gov , NCT01793831. Registered 18 February 2013. https://ichgcp.net/clinical-trials-registry/NCT01793831?term=NCT01793831&rank=1.

Keywords: Crohn’s disease; Fecal microbiota transplantation; Gut microbiota; Urine metabolomics.

Conflict of interest statement

Conflict of interest

Faming Zhang is the core inventor of GenFMTer and TET, and the founder of nonprofit China fmtBank. Other authors declare that they have no conflict of interest.

Ethical approval

This study was reviewed and approved by the Second Affiliated Hospital of Nanjing Medical University Institutional Review Board. All eligible subjects provided written informed consents prior to participation in this study.

Figures

Fig. 1
Fig. 1
Flow chart of the study design. Loss of response referred to the flare after FMT-induced clinical response
Fig. 2
Fig. 2
Harvey–Bradshaw Index (HBI) scores and clinical response maintaining time of all the patients (n = 69). a The change of HBI score after FMT. Compared with the baseline before the first FMT (pre-first FMT), the HBI score decreased significantly 4 weeks after the first FMT (4W post-first FMT) and right before the second FMT (pre-second FMT). Compared with the 4W post-first FMT HBI score, it increased significantly pre-second FMT. Significance levels: **p < 0.01, ***p < 0.001. b The comparison of patients’ clinical response maintaining time after the first and the second FMT (p > 0.05)
Fig. 3
Fig. 3
Clinical response to the first FMT in the selected nine CD patients. a HBI score at baseline; at 3 days, 4 weeks, and 12 weeks after the initial FMT; and at the time point right before the second FMT (pre-second FMT). b Abdominal pain scores at baseline and at 3 days, 4 weeks, and 12 weeks after the initial FMT. c Frequency of defecation at baseline and at and 3 days, 4 weeks, and 12 weeks after the initial FMT
Fig. 4
Fig. 4
Microbial composition changes in the selected nine CD patients after the first FMT. a The microbial α-diversity (OTU richness) of donors and patients (n = 9) before the first FMT (pre-first FMT), 3 days after the first FMT (3D post-first FMT), and right before the second FMT (pre-second FMT). b The microbial α-diversity (Shannon diversity index) of donors and patients (n = 9) pre-first FMT, 3D post-first FMT, and pre-second FMT. The Wilcoxon rank-sum test was used to determine the significance between donors and patients, and the Wilcoxon matched-pairs signed-rank test was used between the samples before and after FMT. *p < 0.05, ***p < 0.001. c Principal coordinate analysis (PCoA) with unweighted UniFrac distance for donor and patient samples pre- and post-FMT. The gray lines showed the trajectory from donor’s to patient’s pre-first FMT, 3D post-first FMT, to pre-second FMT microbiome sample. d1 is the distance between donor’s and patient’s pre-first FMT microbiome sample. d2 is the distance between donor’s and patient’s 3D post-first FMT microbiome sample. d3 is the distance between donor’s and patient’s pre-second FMT microbiome sample. dd1 is always less than d2, implying that the taxa composition of the patient after the first FMT is closer to that of his/her donor. ed3 is typically less than d1, implying that the taxa compositions of most of the patients (with a few exceptions) before the second FMT are still close to those of their donors
Fig. 5
Fig. 5
Gut microbial compositions of CD patients (n = 9) and donors (n = 9) at the phylum level. For patients, we sequenced their stool samples right before the first FMT (pre-first FMT), 3 days after the first FMT (3D post-first FMT), and right before the second FMT (pre-second FMT)
Fig. 6
Fig. 6
The relationship between microbial composition dissimilarity and clinical response maintaining time. Each dot represents a patient. For dissimilarity measures, we use a, b the root Jensen–Shannon divergence (rJSD) and c, d the unweighted UniFrac. a, c Dissimilarity between the donor’s and patient’s 3D post-first FMT microbiome samples. b, d Dissimilarity between the donor’s and patient’s pre-second FMT microbiome samples
Fig. 7
Fig. 7
OPLS-DA score plot of 1H NMR profiles of urine samples obtained from the nine CD patients before the first FMT (pre-first FMT) and at right before the second FMT (pre-second FMT)
Fig. 8
Fig. 8
Urinary metabolite analysis. Changes of urinary metabolites between pre-first FMT and pre-second FMT (n = 9). Significance levels: *p < 0.05, **p < 0.01

References

    1. Bazanella M, Maier TV, Clavel T, Lagkouvardos I, Lucio M, Maldonado-Gomez MX, Autran C, Walter J, Bode L, Schmitt-Kopplin P, Haller D (2017) Randomized controlled trial on the impact of early-life intervention with bifidobacteria on the healthy infant fecal microbiota and metabolome. Am J Clin Nutr ajcn157529. doi:10.3945/ajcn.117.157529
    1. Beckonert O, Keun HC, Ebbels TM, Bundy J, Holmes E, Lindon JC, Nicholson JK. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Protoc. 2007;2(11):2692–2703. doi: 10.1038/nprot.2007.376.
    1. Colman RJ, Rubin DT. Fecal microbiota transplantation as therapy for inflammatory bowel disease: a systematic review and meta-analysis. J Crohns Colitis. 2014;8(12):1569–1581. doi: 10.1016/j.crohns.2014.08.006.
    1. Cui B, Feng Q, Wang H, Wang M, Peng Z, Li P, Huang G, Liu Z, Wu P, Fan Z, Ji G, Wang X, Wu K, Fan D, Zhang F. Fecal microbiota transplantation through mid-gut for refractory Crohn’s disease: safety, feasibility, and efficacy trial results. J Gastroenterol Hepatol. 2015;30(1):51–58. doi: 10.1111/jgh.12727.
    1. Cui B, Li P, Xu L, Zhao Y, Wang H, Peng Z, Xu H, Xiang J, He Z, Zhang T, Nie Y, Wu K, Fan D, Ji G, Zhang F. Step-up fecal microbiota transplantation strategy: a pilot study for steroid-dependent ulcerative colitis. J Transl Med. 2015;13:298. doi: 10.1186/s12967-015-0646-2.
    1. Dawiskiba T, Deja S, Mulak A, Zabek A, Jawien E, Pawelka D, Banasik M, Mastalerz-Migas A, Balcerzak W, Kaliszewski K, Skora J, Barc P, Korta K, Pormanczuk K, Szyber P, Litarski A, Mlynarz P. Serum and urine metabolomic fingerprinting in diagnostics of inflammatory bowel diseases. World J Gastroenterol. 2014;20(1):163–174. doi: 10.3748/wjg.v20.i1.163.
    1. Fujimoto T, Imaeda H, Takahashi K, Kasumi E, Bamba S, Fujiyama Y, Andoh A. Decreased abundance of Faecalibacterium prausnitzii in the gut microbiota of Crohn’s disease. J Gastroenterol Hepatol. 2013;28(4):613–619. doi: 10.1111/jgh.12073.
    1. Gevers D, Kugathasan S, Denson LA, Vazquez-Baeza Y, Van Treuren W, Ren B, Schwager E, Knights D, Song SJ, Yassour M, Morgan XC, Kostic AD, Luo C, Gonzalez A, McDonald D, Haberman Y, Walters T, Baker S, Rosh J, Stephens M, Heyman M, Markowitz J, Baldassano R, Griffiths A, Sylvester F, Mack D, Kim S, Crandall W, Hyams J, Huttenhower C, Knight R, Xavier RJ. The treatment-naive microbiome in new-onset Crohn’s disease. Cell Host Microbe. 2014;15(3):382–392. doi: 10.1016/j.chom.2014.02.005.
    1. Goyal A, Yeh A, Bush BR, Firek BA, Siebold LM, Rogers MB, Kufen AD, Morowitz MJ. Safety, clinical response, and microbiome findings following fecal microbiota transplant in children with inflammatory bowel disease. Inflamm Bowel Dis. 2018;24(2):410–421. doi: 10.1093/ibd/izx035.
    1. He Z, Li P, Zhu J, Cui B, Xu L, Xiang J, Zhang T, Long C, Huang G, Ji G, Nie Y, Wu K, Fan D, Zhang F. Multiple fresh fecal microbiota transplants induces and maintains clinical remission in Crohn’s disease complicated with inflammatory mass. Sci Rep. 2017;7(1):4753. doi: 10.1038/s41598-017-04984-z.
    1. Kolho KL, Korpela K, Jaakkola T, Pichai MV, Zoetendal EG, Salonen A, de Vos WM. Fecal microbiota in pediatric inflammatory bowel disease and its relation to inflammation. Am J Gastroenterol. 2015;110(6):921–930. doi: 10.1038/ajg.2015.149.
    1. Landy J, Walker AW, Li JV, Al-Hassi HO, Ronde E, English NR, Mann ER, Bernardo D, McLaughlin SD, Parkhill J, Ciclitira PJ, Clark SK, Knight SC, Hart AL. Variable alterations of the microbiota, without metabolic or immunological change, following faecal microbiota transplantation in patients with chronic pouchitis. Sci Rep. 2015;5:12955. doi: 10.1038/srep12955.
    1. Long C, Yu Y, Cui B, Jagessar SAR, Zhang J, Ji G, Huang G, Zhang F. A novel quick transendoscopic enteral tubing in mid-gut: technique and training with video. BMC Gastroenterol. 2018;18(1):37. doi: 10.1186/s12876-018-0766-2.
    1. Miccheli A, Capuani G, Marini F, Tomassini A, Pratico G, Ceccarelli S, Gnani D, Baviera G, Alisi A, Putignani L, Nobili V. Urinary (1)H-NMR-based metabolic profiling of children with NAFLD undergoing VSL#3 treatment. Int J Obes. 2015;39(7):1118–1125. doi: 10.1038/ijo.2015.40.
    1. Moayyedi P, Surette MG, Kim PT, Libertucci J, Wolfe M, Onischi C, Armstrong D, Marshall JK, Kassam Z, Reinisch W, Lee CH. Fecal microbiota transplantation induces remission in patients with active ulcerative colitis in a randomized controlled trial. Gastroenterology. 2015;149(1):102–109. doi: 10.1053/j.gastro.2015.04.001.
    1. Ni J, Wu GD, Albenberg L, Tomov VT. Gut microbiota and IBD: causation or correlation? Nat Rev Gastroenterol Hepatol. 2017;14(10):573–584. doi: 10.1038/nrgastro.2017.88.
    1. Nicholson JK, Holmes E, Kinross J, Burcelin R, Gibson G, Jia W, Pettersson S. Host-gut microbiota metabolic interactions. Science. 2012;336(6086):1262–1267. doi: 10.1126/science.1223813.
    1. Pascal V, Pozuelo M, Borruel N, Casellas F, Campos D, Santiago A, Martinez X, Varela E, Sarrabayrouse G, Machiels K, Vermeire S, Sokol H, Guarner F, Manichanh C. A microbial signature for Crohn’s disease. Gut. 2017;66(5):813–822. doi: 10.1136/gutjnl-2016-313235.
    1. Simone SL, Ana Z, Vladimir B, Costea PI, Rajna H, Falk H, Huerta-Cepas J, Nieuwdorp M, Salojärvi J, Voigt AY, Zeller G, Sunagawa S, de Vos WM, Bork P (2016) Durable coexistence of donor and recipient strains after fecal microbiota transplantation. Science 352(6285)
    1. Sokol H, Pigneur B, Watterlot L, Lakhdari O, Bermudez-Humaran LG, Gratadoux JJ, Blugeon S, Bridonneau C, Furet JP, Corthier G, Grangette C, Vasquez N, Pochart P, Trugnan G, Thomas G, Blottiere HM, Dore J, Marteau P, Seksik P, Langella P. Faecalibacterium prausnitzii is an anti-inflammatory commensal bacterium identified by gut microbiota analysis of Crohn disease patients. Proc Natl Acad Sci U S A. 2008;105(43):16731–16736. doi: 10.1073/pnas.0804812105.
    1. Stephens NS, Siffledeen J, Su X, Murdoch TB, Fedorak RN, Slupsky CM. Urinary NMR metabolomic profiles discriminate inflammatory bowel disease from healthy. J Crohns Colitis. 2013;7(2):e42–e48. doi: 10.1016/j.crohns.2012.04.019.
    1. Storr M, Vogel HJ, Schicho R. Metabolomics: is it useful for inflammatory bowel diseases? Curr Opin Gastroenterol. 2013;29(4):378–383. doi: 10.1097/MOG.0b013e328361f488.
    1. Strauss J, Kaplan GG, Beck PL, Rioux K, Panaccione R, Devinney R, Lynch T, Allen-Vercoe E. Invasive potential of gut mucosa-derived Fusobacterium nucleatum positively correlates with IBD status of the host. Inflamm Bowel Dis. 2011;17(9):1971–1978. doi: 10.1002/ibd.21606.
    1. Suskind DL, Brittnacher MJ, Wahbeh G, Shaffer ML, Hayden HS, Qin X, Singh N, Damman CJ, Hager KR, Nielson H, Miller SI. Fecal microbial transplant effect on clinical outcomes and fecal microbiome in active Crohn’s disease. Inflamm Bowel Dis. 2015;21(3):556–563. doi: 10.1097/MIB.0000000000000307.
    1. Trotti A, Colevas AD, Setser A, Rusch V, Jaques D, Budach V, Langer C, Murphy B, Cumberlin R, Coleman CN, Rubin P. CTCAE v3.0: development of a comprehensive grading system for the adverse effects of cancer treatment. Semin Radiat Oncol. 2003;13(3):176–181. doi: 10.1016/S1053-4296(03)00031-6.
    1. Tsikas D, Thum T, Becker T, Pham VV, Chobanyan K, Mitschke A, Beckmann B, Gutzki FM, Bauersachs J, Stichtenoth DO. Accurate quantification of dimethylamine (DMA) in human urine by gas chromatography-mass spectrometry as pentafluorobenzamide derivative: evaluation of the relationship between DMA and its precursor asymmetric dimethylarginine (ADMA) in health and disease. J Chromatogr B Anal Technol Biomed Life Sci. 2007;851(1–2):229–239. doi: 10.1016/j.jchromb.2006.09.015.
    1. Vaughn BP, Vatanen T, Allegretti JR, Bai A, Xavier RJ, Korzenik J, Gevers D, Ting A, Robson SC, Moss AC. Increased intestinal microbial diversity following fecal microbiota transplant for active Crohn’s disease. Inflamm Bowel Dis. 2016;22(9):2182–2190. doi: 10.1097/MIB.0000000000000893.
    1. Weber D, Oefner PJ, Hiergeist A, Koestler J, Gessner A, Weber M, Hahn J, Wolff D, Stammler F, Spang R, Herr W, Dettmer K, Holler E. Low urinary indoxyl sulfate levels early after transplantation reflect a disrupted microbiome and are associated with poor outcome. Blood. 2015;126(14):1723–1728. doi: 10.1182/blood-2015-04-638858.
    1. Weljie AM, Newton J, Mercier P, Carlson E, Slupsky CM. Targeted profiling: quantitative analysis of 1H NMR metabolomics data. Anal Chem. 2006;78(13):4430–4442. doi: 10.1021/ac060209g.
    1. Williams HR, Cox IJ, Walker DG, Cobbold JF, Taylor-Robinson SD, Marshall SE, Orchard TR. Differences in gut microbial metabolism are responsible for reduced hippurate synthesis in Crohn’s disease. BMC Gastroenterol. 2010;10:108. doi: 10.1186/1471-230X-10-108.
    1. Wilson A, Teft WA, Morse BL, Choi YH, Woolsey S, DeGorter MK, Hegele RA, Tirona RG, Kim RB. Trimethylamine-N-oxide: a novel biomarker for the identification of inflammatory bowel disease. Dig Dis Sci. 2015;60(12):3620–3630. doi: 10.1007/s10620-015-3797-3.
    1. Xu L, Zhang T, Cui B, He Z, Xiang J, Long C, Peng Z, Li P, Huang G, Ji G, Zhang F. Clinical efficacy maintains patients’ positive attitudes toward fecal microbiota transplantation. Medicine (Baltimore) 2016;95(30):e4055. doi: 10.1097/MD.0000000000004055.
    1. Zhang F, Cui B, He X, Nie Y, Wu K, Fan D, Group FM-sS Microbiota transplantation: concept, methodology and strategy for its modernization. Protein Cell. 2018;9(5):462–473. doi: 10.1007/s13238-018-0541-8.

Source: PubMed

3
订阅