Effects of Transanal Irrigation on Gut Microbiota in Pediatric Patients with Spina Bifida
by
, , ,
Akira Furuta
1,*
,
Yasuyuki Suzuki
2,
Ryosuke Takahashi
3,
Birte Petersen Jakobsen
4,
Takahiro Kimura
1,
Shin Egawa
1 and
Naoki Yoshimura
5 1
Department of Urology, Jikei University School of Medicine, Tokyo 105-8471, Japan
2
Department of Urology, Tokyo Metropolitan Rehabilitation Hospital, Tokyo 131-0034, Japan
3
Department of Urology, Spinal Injuries Center, Fukuoka 820-0053, Japan
4
Consultant MD, MedDevHealth, Geelsvej, 15 2840 Holte, Denmark
5
Department of Urology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261, USA
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2021, 10(2), 224; https://doi.org/10.3390/jcm10020224
Submission received: 13 December 2020
/
Revised: 30 December 2020
/
Accepted: 5 January 2021
/
Published: 10 January 2021
(This article belongs to the Special Issue Neurogenic Bowel Dysfunction)
Abstract
:Recent studies using 16S rRNA-based microbiota profiling have demonstrated dysbiosis of gut microbiota in constipated patients. The aim of this study was to investigate the changes in gut microbiota after transanal irrigation (TAI) in patients with spina bifida (SB). A questionnaire on neurogenic bowel disfunction (NBD), Bristol scale, and gut microbiota using 16S rRNA sequencing were completed in 16 SB patients and 10 healthy controls aged 6–17 years. Then, 11 of 16 SB patients with moderate to severe NBD scores received TAI for 3 months. Changes in urine cultures were also examined before and after the TAI treatments. In addition, correlation of gut microbiota and Bristol scale was analyzed. Significantly decreased abundance in Faecalibacterium, Blautia and Roseburia, and significantly increased abundance in Bacteroides and Roseburia were observed in the SB patients compared with controls and after TAI, respectively. The abundance of Roseburia was significantly correlated positively with Bristol scale. Urinary tract infection tended to decrease from 82% to 55% after TAI (p = 0.082) despite persistent fecal incontinence. Butyrate-producing bacteria such as Roseburia play a regulatory role in the intestinal motility and host immune system, suggesting the effects of TAI on gut microbiota.
1. Introduction
Patients with neurogenic diseases affecting the spinal cord such as spina bifida (SB) and spinal cord injury (SCI) often present disturbance of bladder and bowel function. To date, treatments of neurogenic bowel dysfunction (NBD) have been largely empirical, and individual solutions have been sought, whereas clean intermittent catheterization (CIC) has commonly been used to treat neurogenic bladder due to spinal cord lesions. Patients with SB or SCI often suffer from both urinary and bowel symptoms, and expect to undergo the treatments of NBD at the same time. The Peristeen® transanal irrigation system (Coloplast A/S, Humlebaek, Denmark) was for the first time permitted for use in the treatments of intractable neurogenic constipation from March 2018 in Japan. A randomized controlled trial found that SCI patients treated with the Peristeen® transanal irrigation system showed improvements in constipation, fecal incontinence, and symptom-related quality of life compared with patients treated with conservative bowel management as the best supportive bowel care without irrigation [1]. It has also been reported that about 60% (36/60) of SB patients aged 8–17 years showed relief from neurogenic constipation three months after transanal irrigation (TAI) [2].
The human intestinal tract is colonized by hundreds of trillions of bacteria whose number exceeds that of the host cells by ten-fold or more [3]. Gut microbiota act as a barrier against pathogens, stimulate the host immune system, and produce a great variety of compounds from the metabolism of diet that could affect the host [4,5]. Immune function in patients with spinal cord lesions is crucial because of the increased incidence of urinary tract infection (UTI), probably due to the increased residual urine volume [6]. Therefore, the CIC maneuver has been introduced to reduce the incidence of UTI [7]. On the other hand, the growth and composition of gut microbiota are affected by a plethora of factors, including age [8], diet [9], obesity [10], and intestinal motility [11]. Recent studies using 16S rRNA-based microbiota profiling have demonstrated dysbiosis of gut microbiota in constipated patients [11]. However, to the best of our knowledge, there have been no reports concerning the effects of TAI on gut microbiota in constipated patients. Therefore, the aim of this study was to investigate the changes in gut microbiota after TAI in SB patients using 16S rRNA sequencing, which detects microbes that have not yet been cultured but can be assigned as relatives of cultured representatives with known function.
2. Experimental Section
2.1. Study Design
Sixteen pediatric SB patients aged 6–17 years treated with self or helped CIC due to neurogenic bladder were recruited from the Jikei University Hospital, and 10 age- and sex-matched healthy controls without any disease were included from the same hospital employees’ children between July 2018 and June 2019. SB patients with myelomeningocele at lumbosacral or sacral lesion levels were included. Obese children whose body mass index (BMI) was over 25 kg/m2 were excluded. All participants completed the Bristol scale (range 1–7; 1 = separate hard lumps, 4 = like a smooth, soft sausage or snake, 7 = liquid consistency with no solid pieces) and NBD score (range 0–47; 0–6 = very minor, 7–9 = minor, 10–13 = moderate, 14–47 = severe), which consists of 10 questions including frequency of bowel movements (range 0–6; 0 = daily, 6 = less than once a weak), time used for defecation (range 0–7; 0 = 0–30 min, 7 = more than 1 h), headache or perspiration during defecation (range 0–2; 0 = no, 2 = yes), use of tablets against constipation (range 0–2; 0 = no, 2 = yes), use of drops against constipation (range 0–2; 0 = no, 2 = yes), digital stimulation or evacuation (range 0–6; 0 = daily, 6 = less than once a week), frequency of fecal incontinence (range 0–13; 0 = less than once a week, 13 = daily), use of tablets against fecal incontinence (range 0–4; 0 = no, 4 = yes), flatus incontinence (range 0–2; 0 = no, 2 = yes), and perianal skin problems (range 0–3; 0 = no, 3 = yes) in cooperation with their parents.
Eleven of the sixteen intractable constipated SB patients with moderate to severe NBD score then received TAI using the Peristeen® anal irrigation system every two days for 3 months. Changes in urine cultures (104 colony forming units/mL or larger was regarded as bacteriuria) in addition to the Bristol scale and NBD score were also examined before and after the TAI treatments. The use of new gastrointestinal interventions including prebiotics, probiotics, antibiotics, modifications to their diet, or medication for the treatment of constipation were prohibited during the study.
All participants gave their written informed consent to the protocol and were permitted to withdraw from the study at any time. The study was approved by the Ethics Committee of the Jikei University School of Medicine (9156).
2.2. Fecal Sample Collection and 16S rRNA Gene Sequencing
Fecal samples were collected from 10 healthy controls without TAI, 16 SB patients before TAI, and 11 SB patients after TAI using dedicated containers (Techno Suruga Laboratory, Shizuoka, Japan) for the analysis of 16S rRNA sequencing and stored at 4 °C in refrigerators until further processing. DNA was isolated with Isospin fecal DNA (Nippon Gene Co., LTD, Tokyo, Japan) according to manufacturer’s instructions.
The exacted DNA was analyzed in Repertoire Genesis Inc. (Osaka, Japan). The V1V2 region of 16S rRNA genes was amplified using FOH-27Fmod (5′-AGRGTTTGATYMTGGCTCAG-3′) and ROH-338R (5′-TGCTGCCTCCCGTAGGAGT-3′) under the following polymerase chain reaction (PCR) conditions: one cycle of denaturation at 95 °C for 3 min, 25 cycles at 95 °C for 30 s, 55 °C for 30 s, 72 °C for 30 s, and final extension at 72 °C for 5 min. The PCR products were sequenced by MiSeq Deep sequencer using MiSeq Reagent Kit v3 (Illumina, San Diego, CA, USA) following the manufacturer’s instructions. The sequence data were preprocessed and analyzed using the “Flora Genesis software” (Repertoire Genesis Inc.). In brief, the R1 and R2 read pairs were joined and chimera sequences were removed. The operational taxonomic unit (OTU) picking was performed by the open-reference method using the 97% identity prefiltered Greengenes database and the UCLUST. The representative sequences of each OTU were chosen and taxonomy assignment was performed by Ribosomal Database Project (RDP) classifier using a threshold score of 0.5 or more. The OTUs were grouped if their annotation was the same regardless of their RDP score.
2.3. Statistical Analysis
All data were represented as mean values ± standard deviation of the mean. Statistical analysis software (Prism, GraphPad Software, San Diego, CA, USA) was used to perform the data analysis.
Significant differences in the age, BMI, Bristol scale, and NBD score in the controls and SB patients were analyzed using Mann–Whitney U-test, whereas the sex differences were detected by Chi-square test. Meanwhile, changes in the Bristol scale, NBD score, and UTI after TAI in the SB patients were examined using Wilcoxon signed rank test.
All microbes at the phylum level were compared, whereas the microbes at the genus level with low relative abundances (<0.1%) were filtered and the remaining top 50 different types were analyzed. Significant differences in the relative abundance of microbes in the controls and SB patients were detected using Mann–Whitney U-test. Changes in the relative abundance of microbes after TAI in the SB patients were examined by Wilcoxon signed rank test. In addition, the correlation of the microbes and Bristol scale was analyzed by Spearman rank correlation.
3. Results
3.1. Characteristics in the SB Patients Compared with Healthy Controls
There were not significant differences in the sex, age, and BMI between the controls and SB patients, as shown in Table 1. On the other hand, the Bristol scale was significantly decreased and the NBD score was significantly increased in the SB patients compared with the controls. All of the SB patients had mild (3), moderate (4), or severe (9) neurogenic constipation.
3.2. Comparison of Gut Microbiota in the SB Patients and Healthy Controls
At the phylum level, there were no significant differences in the relative abundance of microbes in the controls and SB patients, although a total of 15 microbes were detected (Figure 1A, Table 2). On the other hand, at the genus level, the relative abundance of Faecalibacterium, Blautia, Roseburia, Lachnospira, and Dialister was significantly decreased and that of Oscillospira was significantly increased in the SB patients before TAI compared with the controls (Figure 1B, Table 2).
3.3. Outcome Measures before and after TAI in the SB Patients
Significant changes in the Bristol scale and total NBD score were observed after the TAI treatments in the constipated SB patients. The results analyzing the sub-NBD score showed that use of tablets against constipation was significantly decreased without significant changes in the frequency of fecal incontinence. Asymptomatic bacteriuria caused by Escherichia coli tended to decrease from 82% to 55% after TAI, although the difference was not statistically significant (p = 0.082) (Table 3).
3.4. Changes in Gut Microbiota after TAI in the SB Patients
At the phylum level, there were no significant changes in the relative abundance of 15 microbes after the TAI treatments (Figure 2A, Table 4). At the genus level, the relative abundance of Bacteroides and Roseburia was significantly increased and that of Turicibacter was significantly decreased after TAI in SB patients (Figure 2B, Table 4).
3.5. Correlation of Gut Microbiota and Bristol Scale
The relative abundance of Roseburia was significantly correlated positively with the Bristol scale, although a significant correlation was not detected in Bacteroides, Faecalibacterium, or Blautia (Table 5).
4. Discussion
The results of this study indicate that Bristol scale and total NBD score were significantly deteriorated in the SB patients compared with healthy controls and then significantly improved after TAI in the SB patients, which is consistent with previous reports [1,2] It was also observed that 82% of the SB patients had asymptomatic UTI predominantly caused by E. coli before TAI, which then tended to decrease after TAI (p = 0.082). Therefore, it is assumed that TAI, by improving bowel habit and washing of the colorectal tract, can reduce the risk of bladder contamination by E. coli [2], although persistent fecal incontinence after TAI due to atonic sphincters remained after TAI in this study.
An innovative point of the present study was to investigate the changes in gut microbiota before and after TAI in the constipated SB patients, with the exclusion of probable confounding effects of age, diet, and intestinal motility on gut microbiota. In addition, we decided to enroll non-obese patients with a body mass index of 25 kg/m2 or less because obesity has a large impact on gut microbial composition (based on a previous report demonstrating that an increased Firmicutes/Bacteroidetes ratio is associated with obesity) [10].
Firmicutes and Bacteroidetes were the most predominant bacteria at the phylum level in the gut, in accordance with a previous report [12]. They ferment indigestible carbohydrates and generate short-chain fatty acids (SCFAs) including acetate, propionate, and butyrate. It has been reported that Bacteroidetes produce high levels of acetate and propionate, whereas Firmicutes produce high amounts of butyrate [13]. The most numerous butyrate-producing bacteria are highly oxygen-sensitive anaerobes belonging to the Clostridial clusters IV, including Faecalibacterium, and XIVa, including Roseburia and Lachnospira [14,15]. The abundance of Faecalibacterium has significantly been decreased in patients with functional constipation [16]. Significantly decreased abundance in Roseburia was also observed in patients with functional constipation [16,17] or in constipated patients with irritable bowel syndrome (IBS) as well as in SCI patients compared with healthy controls [18,19,20]. In addition, Blautia or Dialister has been reported to produce acetate or propionate, respectively [21,22]. In the present study, the abundance of Blautia and Dialister as well as Faecalibacterium, Roseburia, and Lachnospira was significantly decreased in the SB patients.
Gut microbiota obtained from constipated patients with IBS were observed to produce more sulfides and hydrogen and less butylate from starch fermentation than healthy controls [18]. This study showed that the abundance of Roseburia was significantly correlated positively with Bristol scale, which is possibly because butyrate plays a regulatory role in the transepithelial fluid transport and intestinal motility via release of 5-hydroxytryptamine [23]. On the other hand, the anti-inflammatory effects of SCFAs are mediated through binding of the G-protein-coupled receptor 41 and 43, which are both expressed on immune cells, suggesting that SCFAs are involved in the activation of leucocytes [23]. Significantly decreased levels of butylate and acetate has been previously reported in patients with irritable bowel diseases compared with health controls [24]. In the present study, significantly increased abundance in Roseburia and Bacteroides was observed after TAI, which may contribute to the tendency for UTIs to be reduced in the constipated SB patients treated with CIC despite the persistent fecal incontinence remaining. Furthermore, as mentioned above, significantly increased abundance in Bacteroides was observed after TAI in this study, whereas significantly decreased abundance in Bacteroides and Prevotella has been reported in constipated patients with IBS [25]. Three enterotypes, including Bacteroides, Prevotella, and Ruminococcus at the genus level, have recently been defined in a global collection of gut microbiota [26]. The results of this study therefore suggested the contribution of TAI to the changes in Bacteroides, one of the enterotypes.
It has been reported that Oscillospira is closely related to human health because its abundance is negatively correlated with systolic and diastolic blood pressure, fasting blood glucose, triglyceride, uric acid, and Bristol scale, suggesting that Oscillospira is a predictor of low BMI and constipation [27]. In addition, an association between Turicibacter and exercise has been reported in mice. A previous study showed that the percentage of Turicibacter in controls was 0.22%, whereas that of Turicibacter in voluntary wheel running groups was 0% [28]. In the present study, significantly decreased abundance in Turicibacter was observed after TAI, suggesting the recovery of intestinal motility possibly due to butyrate in the SB patients.
Psyllium is widely used for the treatment of constipation. It is capable of retaining water in the small intestine, and thereby increasing water flow into the ascending colon. The increases in the fluidity of colonic content may explain the success of psyllium in treating constipation [29]. Interestingly, psyllium supplementation increased fecal water, resulting in the significant increases in Faecalibacterium, Roseburia, and Lachnospira in the patients with functional constipation [30]. Similarly, the present study for the first time suggested the effects of TAI on gut microbiota, especially butyrate-producing bacteria such as Roseburia.
A major limitation of this study was the small number of patients, but confounding effects of age, diet, obesity, and intestinal motility on gut microbiota were excluded by comparing gut microbial composition before and after the TAI treatment. In addition, we only characterized gut microbiota without investigating their metabolites, such as SCFAs. Further studies are needed to clarify this point.
5. Conclusions
TAI significantly improved constipation in addition to significantly increasing the abundance in Roseburia, which may contribute to improvements in the host immune system, resulting in the tendency for UTIs to be reduced, despite persistent fecal incontinence. Therefore, TAI combined with CIC could be beneficial for improving bowel dysfunction in constipated patients with spinal cord lesions such as SB.
Author Contributions
Conceptualization: A.F. and B.P.J.; methodology: A.F. and R.T.; formal analysis: T.K.; writing—original draft preparation: A.F. and Y.S.; writing—review and editing: S.E. and N.Y. All authors have read and agreed to the published version of the manuscript.
Funding
Analysis cost of gut microbiota using 16S rRNA sequencing was supported by Coloplast Japan. Coloplast Japan had no influence on the study design, data analysis, or data interpretation.
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Ethics Committee of Jikei University School of Medicine (protocol code: 9156 and date of approval: 12 September 2018).
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data that support the findings are available from the corresponding author (A.F.) upon reasonable request.
Acknowledgments
The authors thank Yukio Nakamura (Repertoire Genesis Inc.) for 16S rRNA sequencing of the fecal samples.
Conflicts of Interest
The authors declare no conflict of interest.
Abbreviations
| BMI | body mass index |
| CIC | clean intermittent catheterization |
| IBS | irritable bowel syndrome |
| NBD | neurogenic bowel dysfunction |
| OUT | operational taxonomic unit |
| PCR | polymerase chain reaction |
| RDP | Ribosomal Database Project |
| SCFAs | short-chain fatty acids |
| SCI | spinal cord injury |
| TAI | transanal irrigation |
| UTI | urinary tract infection. |
References
- Christensen, P.; Bazzocchi, G.; Coggrave, M.; Abel, R.; Hultling, C.; Krogh, K.; Media, S.; Laurberg, S. A randomized, controlled trial of transanal irrigation versus conservative bowel management in spinal cord-injured patients. Gastroenterology 2006, 131, 738–747. [Google Scholar] [CrossRef] [PubMed]
- Ausili, E.; Focarelli, B.; Tabacco, F.; Murolo, D.; Sigismondi, M.; Gasbarrini, A.; Rendeli, C. Transanal irrigation in myelomeningocele children: An alternative, safe and valid approach for neurogenic constipation. Spinal Cord. 2010, 48, 560–565. [Google Scholar] [CrossRef] [PubMed]
- Dethlefsen, L.; McFall-Ngai, M.; Relman, D.A. An ecological and evolutionary perspective on human-microbe mutualism and disease. Nature 2007, 449, 811–818. [Google Scholar] [CrossRef] [PubMed]
- Round, J.L.; Mazmanian, S.K. The gut microbiota shapes intestinal immune responses during health and disease. Nat. Rev. Immunol 2009, 9, 313–323. [Google Scholar] [CrossRef] [PubMed]
- Arpaia, N.; Campbell, C.; Fan, X.; Dikiy, S.; van der Veeken, J.; deRoos, P.; Liu, H.; Cross, J.R.; Pfeffer, K.; Coffer, P.J.; et al. Metabolites produced by commensal bacteria promote peripheral regulatory T-cell generation. Nature 2013, 504, 451–455. [Google Scholar] [CrossRef] [PubMed]
- Merritt, J.L. Residual urine volume: Correlate of urinary tract infection in patients with spinal cord injury. Arch. Phys. Med. Rehabil. 1981, 62, 558–561. [Google Scholar]
- Weld, K.J.; Dmochowski, R.R. Effect of bladder management on urological complications in spinal cord injured patients. J. Urol. 2000, 163, 768–772. [Google Scholar] [CrossRef]
- Yatsunenko, T.; Rey, F.E.; Manary, M.J.; Trehan, I.; Dominguez-Bello, M.G.; Contreras, M.; Magris, M.; Hidalgo, G.; Baldassano, R.N.; Anokhin, A.P.; et al. Human gut microbiome viewed across age and geography. Nature 2012, 486, 222–227. [Google Scholar] [CrossRef]
- Nishijima, S.; Suda, W.; Oshima, K.; Kim, S.W.; Hirose, Y.; Morita, H.; Hattori, M. The gut microbiome of healthy Japanese and its microbial and functional uniqueness. DNA Res. 2016, 23, 125–133. [Google Scholar] [CrossRef] [Green Version]
- Ley, R.E.; Turnbaugh, P.J.; Klein, S.; Gordon, J.I. Microbial ecology: Human gut microbes associated with obesity. Nature 2006, 444, 1022–1023. [Google Scholar] [CrossRef]
- Ohkusa, T.; Koido, S.; Nishikawa, Y.; Sato, N. Gut Microbiota and Chronic Constipation: A Review and Update. Front. Med. 2019, 6, 19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Cho, I.; Blaser, M.J. The human microbiome: At the interface of health and disease. Nat. Rev. Genet. 2012, 13, 260–270. [Google Scholar] [CrossRef] [Green Version]
- Macfarlane, S.; Macfarlane, G.T. Regulation of short-chain fatty acid production. Proc. Nutr. Soc. 2003, 62, 67–72. [Google Scholar] [CrossRef] [PubMed]
- Pryde, S.E.; Duncan, S.H.; Hold, G.L.; Stewart, C.S.; Flint, H.J. The microbiology of butyrate formation in the human colon. FEMS Microbiol. Lett. 2002, 217, 133–139. [Google Scholar] [CrossRef] [PubMed]
- Meehan, C.J.; Beiko, R.G. A phylogenomic view of ecological specialization in the Lachnospiraceae, a family of digestive tract-associated bacteria. Genome Biol. Evol. 2014, 6, 703–713. [Google Scholar] [CrossRef] [Green Version]
- Zhuang, M.; Shang, W.; Ma, Q.; Strappe, P.; Zhou, Z. Abundance of Probiotics and Butyrate-Production Microbiome Manages Constipation via Short-Chain Fatty Acids Production and Hormones Secretion. Mol. Nutr. Food Res. 2019, 63, e1801187. [Google Scholar] [CrossRef]
- Mancabelli, L.; Milani, C.; Lugli, G.A.; Turroni, F.; Mangifesta, M.; Viappiani, A.; Ticinesi, A.; Nouvenne, A.; Meschi, T.; van Sinderen, D.; et al. Unveiling the gut microbiota composition and functionality associated with constipation through metagenomic analyses. Sci. Rep. 2017, 7, 9879. [Google Scholar] [CrossRef] [Green Version]
- Chassard, C.; Dapoigny, M.; Scott, K.P.; Crouzet, L.; Del’homme, C.; Marquet, P.; Martin, J.C.; Pickering, G.; Ardid, D.; Eschalier, A.; et al. Functional dysbiosis within the gut microbiota of patients with constipated-irritable bowel syndrome. Aliment. Pharmacol. Ther. 2012, 35, 828–838. [Google Scholar] [CrossRef]
- Gobert, A.P.; Sagrestani, G.; Delmas, E.; Wilson, K.T.; Verriere, T.G.; Dapoigny, M.; Del’homme, C.; Bernalier-Donadille, A. The human intestinal microbiota of constipated-predominant irritable bowel syndrome patients exhibits anti-inflammatory properties. Sci. Rep. 2016, 6, 39399. [Google Scholar] [CrossRef]
- Gungor, B.; Adiguzel, E.; Gursel, I.; Yilmaz, B.; Gursel, M. Intestinal Microbiota in Patients with Spinal Cord Injury. PLoS ONE 2016, 11, e0145878. [Google Scholar] [CrossRef] [Green Version]
- Liu, C.; Li, J.; Zhang, Y.; Philip, A.; Shi, E.; Chi, X.; Meng, J. Influence of glucose fermentation on CO2 assimilation to acetate in homoacetogen Blautia coccoides GA-1. J. Ind. Microbiol. Biotechnol. 2015, 42, 1217–1224. [Google Scholar] [CrossRef] [PubMed]
- Morotomi, M.; Nagai, F.; Sakon, H.; Tanaka, R. Dialister succinatiphilus sp. nov. and Barnesiella intestinihominis sp. nov., isolated from human faeces. Int. J. Syst. Evol. Microbiol. 2008, 58, 2716–2720. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Canani, R.B.; Costanzo, M.D.; Leone, L.; Pedata, M.; Meli, R.; Calignano, A. Potential beneficial effects of butyrate in intestinal and extraintestinal diseases. World J. Gastroenterol. 2011, 17, 1519–1528. [Google Scholar] [CrossRef] [PubMed]
- Huda-Faujan, N.; Abdulamir, A.S.; Fatimah, A.B.; Anas, O.M.; Shuhaimi, M.; Yazid, A.M.; Loong, Y.Y. The impact of the level of the intestinal short chain Fatty acids in inflammatory bowel disease patients versus healthy subjects. Open Biochem. J. 2010, 4, 53–58. [Google Scholar] [CrossRef]
- Rajilić-Stojanović, M.; Biagi, E.; Heilig, H.G.; Kajander, K.; Kekkonen, R.A.; Tims, S.; de Vos, W.M. Global and deep molecular analysis of microbiota signatures in fecal samples from patients with irritable bowel syndrome. Gastroenterology 2011, 141, 1792–1801. [Google Scholar] [CrossRef]
- Arumugam, M.; Raes, J.; Pelletier, E.; Le Paslier, D.; Yamada, T.; Mende, D.R.; Fernandes, G.R.; Tap, J.; Bruls, T.; Batto, J.M.; et al. Enterotypes of the human gut microbiome. Nature 2011, 473, 174–180. [Google Scholar] [CrossRef]
- Chen, Y.R.; Zheng, H.M.; Zhang, G.X.; Chen, F.L.; Chen, L.D.; Yang, Z.C. High Oscillospira abundance indicates constipation and low BMI in the Guangdong Gut Microbiome Project. Sci. Rep. 2020, 10, 9364. [Google Scholar] [CrossRef]
- Allen, J.M.; Berg Miller, M.E.; Pence, B.D.; Whitlock, K.; Nehra, V.; Gaskins, H.R.; White, B.A.; Fryer, J.D.; Woods, J.A. Voluntary and forced exercise differentially alters the gut microbiome in C57BL/6J mice. J. Appl. Physiol. 2015, 118, 1059–1066. [Google Scholar] [CrossRef] [Green Version]
- Erdogan, A.; Rao, S.S.; Thiruvaiyaru, D.; Lee, Y.Y.; Coss Adame, E.; Valestin, J.; O’Banion, M. Randomised clinical trial: Mixed soluble/insoluble fibre vs. psyllium for chronic constipation. Aliment. Pharmacol. Ther. 2016, 44, 35–44. [Google Scholar] [CrossRef] [Green Version]
- Jalanka, J.; Major, G.; Murray, K.; Singh, G.; Nowak, A.; Kurtz, C.; Silos-Santiago, I.; Johnston, J.M.; de Vos, W.M.; Spiller, R. The Effect of Psyllium Husk on Intestinal Microbiota in Constipated Patients and Healthy Controls. Int. J. Mol. Sci. 2019, 20, 433. [Google Scholar] [CrossRef] [Green Version]
Figure 1.
Comparison of gut microbiota in the spina bifida (SB) patients and healthy controls at the phylum level (A) and the genus level (B). *; p < 0.05, **; p < 0.01 vs. Control.
Figure 1.
Comparison of gut microbiota in the spina bifida (SB) patients and healthy controls at the phylum level (A) and the genus level (B). *; p < 0.05, **; p < 0.01 vs. Control.
Figure 2.
Changes in gut microbiota after TAI in the SB patients at the phylum level (A) and the genus level (B). *; p < 0.05, **; p < 0.01 vs. before TAI.
Figure 2.
Changes in gut microbiota after TAI in the SB patients at the phylum level (A) and the genus level (B). *; p < 0.05, **; p < 0.01 vs. before TAI.
Table 1.
Characteristics of the study groups. BMI: body mass index; CIC: clean intermittent catheterization; NBD: neurogenic bowel dysfunction.
Table 1.
Characteristics of the study groups. BMI: body mass index; CIC: clean intermittent catheterization; NBD: neurogenic bowel dysfunction.
| Healthy Control | Spina Bifida | p Value | |
|---|---|---|---|
| Participants (Number) | 10 | 16 | |
| Male/Female (Number) | 5/5 | 5/11 | 0.339 |
| Age (Mean ± SD ) | 12.6 ± 2.5 | 10.8 ± 3.3 | 0.223 |
| BMI (Mean ± SD ) | 17.5 ± 1.6 | 18.9 ± 3.8 | 0.429 |
| CIC (Number) | 0 | 16 | |
| Bristol scale (Mean ± SD ) | 3.8 ± 0.4 | 1.8 ± 1.0 | 0.001 |
| NBD score (Mean ± SD ) | 0.5 ± 1.0 | 14.1 ± 4.7 | 0.001 |
| Very mild (Number) | 10 | 0 | |
| Mild (Number) | 0 | 3 | |
| Moderate (Number) | 0 | 4 | |
| Severe (Number) | 0 | 9 |
Table 2.
Differences between gut microbiota in the SB patients and healthy controls.
| Phylum Level | |||
|---|---|---|---|
| Family Level | Control | Spina Bifida | p Value |
| Genus Level | (Mean) | (Mean) | |
| Firmicutes/Bacteroidetes ratio | 1.58 | 2.38 | 0.246 |
| Firmicutes | 54.38 | 56.29 | 0.654 |
| Ruminococcaceae | |||
| Ruminococcus | 2.79 | 6.30 | 0.108 |
| Faecalibacterium | 10.64 | 6.33 | 0.033 |
| Oscillospira | 0.98 | 1.74 | 0.029 |
| Lachospiraceae | |||
| Blautia | 9.00 | 5.38 | 0.017 |
| Ruminococcus | 8.44 | 8.53 | 0.693 |
| Roseburia | 4.99 | 2.06 | 0.001 |
| Dorea | 1.71 | 1.73 | 0.937 |
| Lachnospira | 1.15 | 0.24 | 0.002 |
| Coprococcus | 1.07 | 0.55 | 0.654 |
| Lactobacillus | 0.03 | 1.18 | 0.346 |
| Streptococcaceae | |||
| Streptococcus | 1.98 | 1.82 | 0.304 |
| Clostridiaceae | |||
| SMB53 | 1.15 | 2.50 | 0.120 |
| Veillonellaceae | |||
| Veillonella | 1.22 | 0.97 | 0.051 |
| Dialister | 1.20 | 0.22 | 0.003 |
| Bacillaceae | |||
| Bacillus | 0.04 | 1.89 | 0.593 |
| Erysipelotrichaceae | |||
| Eubacterium | 0.20 | 0.61 | 0.055 |
| Turicibacteraceae | |||
| Turicibacter | 0.24 | 0.80 | 0.144 |
| Bacteroidetes | 35.38 | 28.95 | 0.147 |
| Bacteroidaceae | |||
| Bacteroides | 27.66 | 20.11 | 0.087 |
| Porphyromonadaceae | |||
| Parabacteroides | 2.34 | 3.69 | 0.257 |
| Prevotellaceae | |||
| Prevotella | 3.05 | 0.06 | 0.477 |
| Actinobacteria | 7.15 | 11.76 | 0.133 |
| Bifidobacteriaceae | |||
| Bifidobacterium | 5.89 | 8.67 | 0.280 |
| Coriobacteriaceae | |||
| Collinsella | 0.96 | 2.01 | 0.684 |
| Proteobacteria | 2.92 | 2.09 | 0.414 |
| Alcaligenaceae | |||
| Sutterella | 1.81 | 1.07 | 0.087 |
| Enterobacteriaceae | |||
| Trabulsiella | 0.36 | 0.41 | 0.385 |
Table 3.
Influence of transanal irrigation (TAI) on outcome measures.
| Before TAI | After TAI | p Value | |
|---|---|---|---|
| Bristol scale ( Mean ± SD ) | 1.9 ± 1.2 | 3.6 ± 1.2 | 0.001 |
| Total NBD score ( Mean ± SD ) | 15.6 ± 4.1 | 11.1 ± 4.6 | 0.009 |
| Frequency of bowel movements ( Mean ± SD ) | 1.7 ± 2.4 | 1.0 ± 0.0 | 0.279 |
| Time used for defecation ( Mean ± SD ) | 0.9 ± 2.1 | 1.1 ± 1.5 | 0.828 |
| Headache or perspiration during defecation ( Mean ± SD ) | 0.6 ± 0.9 | 0.1 ± 0.5 | 0.082 |
| Use of tablets against constipation ( Mean ± SD ) | 1.1 ± 1.0 | 0.4 ± 0.9 | 0.019 |
| Use of drops against constipation ( Mean ± SD ) | 0.4 ± 0.9 | 0.0 ± 0.0 | 0.082 |
| Digital stimulation or evacuation ( Mean ± SD ) | 4.3 ± 2.8 | 3.4 ± 3.1 | 0.336 |
| Frequency of fecal incontinence ( Mean ± SD ) | 5.0 ± 3.7 | 3.7 ± 3.4 | 0.108 |
| Use of tablets against fecal incontinence ( Mean ± SD ) | 0.3 ± 1.1 | 0.0 ± 0.0 | 0.336 |
| Flatus incontinence ( Mean ± SD ) | 2.0 ± 0.0 | 2.0 ± 0.0 | 1.000 |
| Perianal skin problems ( Mean ± SD ) | 0.9 ± 1.4 | 0.2 ± 0.8 | 0.083 |
| Urinary tract infection (Number, %) | 9 (82%) | 6 (55%) | 0.082 |
| Causative bacteria (Number) Escherichia coli | 9 | 6 |
Table 4.
Changes in gut microbiota after TAI in the SB patients.
| Phylum Level | |||
|---|---|---|---|
| Family Level | Before TAI | After TAI | p Value |
| Genus Level | (Mean) | (Mean) | |
| Firmicutes/Bacteroidetes ratio | 2.53 | 2.36 | 0.638 |
| Firmicutes | 58.57 | 57.28 | 0.638 |
| Ruminococcaceae | |||
| Ruminococcus | 7.48 | 7.48 | 1.000 |
| Faecalibacterium | 7.30 | 9.27 | 0.320 |
| Oscillospira | 1.72 | 1.83 | 0.700 |
| Lachospiraceae | |||
| Blautia | 6.11 | 7.45 | 0.240 |
| Ruminococcus | 8.70 | 8.05 | 0.966 |
| Roseburia | 2.22 | 3.86 | 0.007 |
| Dorea | 2.28 | 2.12 | 0.638 |
| Coprococcus | 0.75 | 0.54 | 1.000 |
| Streptococcaceae | |||
| Streptococcus | 1.49 | 2.00 | 0.700 |
| Clostridiaceae | |||
| SMB53 | 2.98 | 1.00 | 0.067 |
| 02d06 | 0.90 | 0.53 | 0.695 |
| Veillonellaceae | |||
| Phascolarctobacterium | 0.50 | 0.47 | 0.938 |
| Erysipelotrichaceae | |||
| Eubacterium | 0.74 | 0.83 | 0.898 |
| Turicibacteraceae | |||
| Turicibacter | 1.04 | 0.30 | 0.003 |
| Bacteroidetes | 28.92 | 31.65 | 0.638 |
| Bacteroidaceae | |||
| Bacteroides | 17.35 | 21.92 | 0.048 |
| Porphyromonadaceae | |||
| Parabacteroides | 3.03 | 3.34 | 0.831 |
| Prevotellaceae | |||
| Prevotella | 1.96 | 2.33 | 0.557 |
| Odoribacteraceae | |||
| Odoribacter | 0.51 | 0.49 | 0.922 |
| Actinobacteria | 9.74 | 7.67 | 0.320 |
| Bifidobacteriaceae | |||
| Bifidobacterium | 6.79 | 5.93 | 0.413 |
| Coriobacteriaceae | |||
| Collinsella | 1.65 | 1.43 | 0.250 |
| Proteobacteria | 1.84 | 2.52 | 0.175 |
| Alcaligenaceae | |||
| Sutterella | 0.71 | 1.35 | 0.059 |
Table 5.
Correlation of gut microbiota and Bristol scale.
| Bacteria | Bristol Scale | p Value |
|---|---|---|
| (Genus level) | (Correlation coefficient) | |
| Bacteroides | 0.262 | 0.147 |
| Faecalibacterium | 0.239 | 0.187 |
| Blautia | 0.264 | 0.144 |
| Roseburia | 0.486 | 0.005 |
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Furuta, A.; Suzuki, Y.; Takahashi, R.; Jakobsen, B.P.; Kimura, T.; Egawa, S.; Yoshimura, N. Effects of Transanal Irrigation on Gut Microbiota in Pediatric Patients with Spina Bifida. J. Clin. Med. 2021, 10, 224. https://doi.org/10.3390/jcm10020224
AMA Style
Furuta A, Suzuki Y, Takahashi R, Jakobsen BP, Kimura T, Egawa S, Yoshimura N. Effects of Transanal Irrigation on Gut Microbiota in Pediatric Patients with Spina Bifida. Journal of Clinical Medicine. 2021; 10(2):224. https://doi.org/10.3390/jcm10020224
Chicago/Turabian StyleFuruta, Akira, Yasuyuki Suzuki, Ryosuke Takahashi, Birte Petersen Jakobsen, Takahiro Kimura, Shin Egawa, and Naoki Yoshimura. 2021. "Effects of Transanal Irrigation on Gut Microbiota in Pediatric Patients with Spina Bifida" Journal of Clinical Medicine 10, no. 2: 224. https://doi.org/10.3390/jcm10020224
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