Duodenal Microbiota in Stunted Undernourished Children with Enteropathy

Robert Y Chen, Vanderlene L Kung, Subhasish Das, M Shabab Hossain, Matthew C Hibberd, Janaki Guruge, Mustafa Mahfuz, S M Khodeza Nahar Begum, M Masudur Rahman, Shah Mohammad Fahim, M Amran Gazi, Rashidul Haque, Shafiqul A Sarker, Ramendra N Mazumder, Blanda Di Luccia, Kazi Ahsan, Elizabeth Kennedy, Jesus Santiago-Borges, Dmitry A Rodionov, Semen A Leyn, Andrei L Osterman, Michael J Barratt, Tahmeed Ahmed, Jeffrey I Gordon, Robert Y Chen, Vanderlene L Kung, Subhasish Das, M Shabab Hossain, Matthew C Hibberd, Janaki Guruge, Mustafa Mahfuz, S M Khodeza Nahar Begum, M Masudur Rahman, Shah Mohammad Fahim, M Amran Gazi, Rashidul Haque, Shafiqul A Sarker, Ramendra N Mazumder, Blanda Di Luccia, Kazi Ahsan, Elizabeth Kennedy, Jesus Santiago-Borges, Dmitry A Rodionov, Semen A Leyn, Andrei L Osterman, Michael J Barratt, Tahmeed Ahmed, Jeffrey I Gordon

Abstract

Background: Environmental enteric dysfunction (EED) is an enigmatic disorder of the small intestine that is postulated to play a role in childhood undernutrition, a pressing global health problem. Defining the incidence of this disorder, its pathophysiological features, and its contribution to impaired linear and ponderal growth has been hampered by the difficulty in directly sampling the small intestinal mucosa and microbial community (microbiota).

Methods: In this study, among 110 young children (mean age, 18 months) with linear growth stunting who were living in an urban slum in Dhaka, Bangladesh, and had not benefited from a nutritional intervention, we performed endoscopy in 80 children who had biopsy-confirmed EED and available plasma and duodenal samples. We quantified the levels of 4077 plasma proteins and 2619 proteins in duodenal biopsy samples obtained from these children. The levels of bacterial strains in microbiota recovered from duodenal aspirate from each child were determined with the use of culture-independent methods. In addition, we obtained 21 plasma samples and 27 fecal samples from age-matched healthy children living in the same area. Young germ-free mice that had been fed a Bangladeshi diet were colonized with bacterial strains cultured from the duodenal aspirates.

Results: Of the bacterial strains that were obtained from the children, the absolute levels of a shared group of 14 taxa (which are not typically classified as enteropathogens) were negatively correlated with linear growth (length-for-age z score, r = -0.49; P = 0.003) and positively correlated with duodenal proteins involved in immunoinflammatory responses. The representation of these 14 duodenal taxa in fecal microbiota was significantly different from that in samples obtained from healthy children (P<0.001 by permutational multivariate analysis of variance). Enteropathy of the small intestine developed in gnotobiotic mice that had been colonized with cultured duodenal strains obtained from children with EED.

Conclusions: These results provide support for a causal relationship between growth stunting and components of the small intestinal microbiota and enteropathy and offer a rationale for developing therapies that target these microbial contributions to EED. (Funded by the Bill and Melinda Gates Foundation and others; ClinicalTrials.gov number, NCT02812615.).

Copyright © 2020 Massachusetts Medical Society.

Figures

Figure. 1
Figure. 1
Correlations between components of the duodenal proteome, the absolute abundances of duodenal bacterial taxa and stunting. (A) The top 10 positive correlations between members of the 14 core taxa and duodenal proteins. The size and color of the circle represents the magnitude of the correlation (larger circle and darker color indicates stronger correlation). (B) Annotations of proteins shown in panels A and G. (C-F) Total duodenal bacterial load, and the abundances of the three organisms most positively correlated with duodenal inflammatory proteins are significantly negatively correlated with LAZ. The least-squares regression line is depicted in blue while shaded regions denote 95% confidence bands. (G) Star network of correlations between plasma REG3A and core taxa-associated duodenal proteins. As indicated by the color key, edge transparency/color corresponds to correlation strength (darker edges denote a stronger correlation). The duodenal protein with the strongest correlation, lipocalin-2 (LCN-2), is indicated by the tail of the arrowhead at 3 o’clock; duodenal proteins with progressively weaker correlations with REG3A are distributed in a counter-clockwise fashion from this position.
Figure. 2
Figure. 2
A defined consortium of cultured duodenal bacterial taxa from Bangladeshi children with EED transmits an enteropathy to gnotobiotic mice. (A) Experimental design. The majority of mice gavaged with the EED strains (12/16), and all CONV-D mice (n=10) were euthanized seven days after the final gavage (four mice gavaged with the EED consortium became moribund five days following the second gavage and were euthanized; at this time point they had lost 20% of their starting body weight compared to -4.7% ± 7.7% for all other animals receiving the consortium and -4.9 ± 5.3% for the CONV-D group). (B) Twenty-three bacterial strains that colonized animals at a relative abundance >0.01% at one or more locations along the intestine. See Figure S6for the biogeographical features of colonization along the length of the intestine. Strains belonging to the 14 core taxa detected in the duodenums of children with EED at the Genus level are highlighted in purple. (C-E) Hematoxylin- and eosin-stained sections showing representative histopathologic changes in the duodenal epithelium and lamina propria of mice colonized with the EED consortium (panels C and D) compared to CONV-D controls (panel E). See Supplementary Resultsand Supplementary Table S12 for flow cytometry of immune cell populations. Scale bars, 100 µm in panel C, 25 µm in panels D and E. (F) Quantification of crypt length in the proximal 3 cm of the small intestine. The 10 best oriented crypts were measured (n=5 mice/treatment group). Each dot represents one measurement. Horizontal lines denote mean values. ***, p<0.001 (ANOVA). (G) Differential expression of duodenal Reg3β and Reg3γ as determined by DESeq2 (FDR-corrected q<0.001). (H) MMP-8 protein levels in serum and small intestine. *, p=0.01 (serum, unpaired t-test); **, p=0.005 (duodenum), p=0.002 (jejunum), p=0.001 (ileum) (2-way ANOVA with Sidak’s multiple comparisons test). (I) Bacterial translocation from the gut is increased in mice colonized with the EED consortium. Each dot represents a splenic homogenate from one mouse (two independent experiments; n=5 mice/experiment; mean values are shown as horizontal lines; ***, p<0.001). All translocated bacteria recovered from mice gavaged with the EED consortium were identified asEscherichia coli and Enterococcus hirae (the former lacks virulence-associated markers of diarrheagenic strains of E. coli). Rare Enterococcus faecalis, Acinetobacter lwoffii, and Acinetobacter radioresistens were recovered from the spleens of CONV-D controls.

References

    1. Lindenbaum J, Kent TH, Sprinz H. Malabsorption and jejunitis in American Peace Corps volunteers in Pakistan. Ann Intern Med 1966;65:1201–09.
    1. Lunn PG, Northrop-Clewes CA, Downes RM. Intestinal permeability, mucosal injury, and growth faltering in Gambian infants. Lancet 1991;338:907–10.
    1. Campbell DI, Elia M, Lunn PG. Growth faltering in rural Gambian infants is associated with impaired small intestinal barrier function, leading to endotoxemia and systemic inflammation. J Nutr 2002;133:1332–38.
    1. Petri WA Jr, Miller M, Binder HJ, Levine MM, Dillingham R, Guerrant RL. Enteric infections, diarrhea, and their impact on function and development. J Clin Invest 2008;118:1277–90.
    1. Lorntz B, Soares AM, Moore SR, et al. . Early childhood diarrhea predicts impaired school performance. Pediatr Infect Dis J 2006;25:513–20.
    1. Black RE, Allen LH, Bhutta ZA, et al. . Maternal and child undernutrition: global and regional exposures and health consequences. Lancet 2008;371:243–6.
    1. Qadri F, Bhuiyan TR, Sack DA, Svennerholm A-M, Immune responses and protection in children in developing countries induced by oral vaccines. Vaccine 2013;31:452–60.
    1. Dewey KG, Adu-Afarwuah S. Systematic review of the efficacy and effectiveness of complementary feeding interventions in developing countries. Matern Child Nutr 2008;4:24–85.
    1. Christian P, Shaikh S, Shamim AA, et al. . Effect of fortified complementary food supplementation on child growth in rural Bangladesh: A cluster-randomized trial. Int J Epidemiol 2015;6:1862-76.
    1. Budge S, Parker AH, Hutchings PT, Carbutt C. Environmental enteric dysfunction and child stunting. Nutr Rev 2019;77:240-53.
    1. Harper KM, Mutasa M, Prendergast AJ, Humphrey J, Manges AR. Environmental enteric dysfunction pathways and child stunting: A systematic review. PLoS Negl Trop Dis 2018;12: e0006205..
    1. Gehrig JL, Venkatesh S, Chang HW, et al. . Effects of microbiota-directed foods in gnotobiotic animals and undernourished children. Science 2019;365:aau4732.
    1. Raman AS, Gehrig JL, Venkatesh S, et al. . A sparse covarying unit that describes healthy and impaired gut microbiota development. Science 2019;365:eaau4735.
    1. Zambruni M, Ochoa TJ, Somasunderam A, et al. . Stunting is preceded by intestinal mucosal damage and microbiome changes and is associated with systemic inflammation in a cohort of Peruvian infants. Am J Trop Med Hyg 2019;101:1009-17.
    1. Vonaesch P, Morien E, Andrianonimiadana L, et al. . Stunted childhood growth is associated with decompartamentalization of the gastrointesinal tract and overgrowth of oropharyngeal taxa. Proc Natl Acad Sci USA 2018;115:e8489-e98.
    1. Mahfuz M, Das S, Mazumder RN, et al. . Bangladesh Environmental Enteric Dysfunction (BEED) study: Protocol for a community-based intervention study to validate non-invasive biomarkers of environmental enteric dysfunction. BMJ Open 2017;7:e017768.
    1. Mahfuz M, Alam MA, Das S, et al. . Daily supplementation with egg, cow milk, and multiple micronutrients increases linear growth of young children with short stature. J Nutr 2019;00:1-10
    1. Rohloff JC, Gelinas AD, Jarvis TC, et al. . Nucleic acid ligands with protein-like side chains: Modified aptamers and their use as diagnostic and therapeutic agents. Mol Ther Nucleic Acids 2014;3:e201.
    1. Anders A, Huber W. Differential expression analysis for sequence count data. Genome Biol 2010;11:R106.
    1. Rogawski ET, Liu J, Platts-Mills JA, et al. . Use of quantitative molecular diagnostic methods to investigate the effect of enteropathogen infections on linear growth in children in low-resource settings: longitudinal analysis of results from the MAL-ED cohort study. Lancet Glob Health 2018;6:e1319-e28.
    1. Benjaimini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J Royal Statistical Society. 1995;57:289-300.
    1. Hoeflich A, Pintar J, Forbes B. Current perspectives on insulin-like growth factor binding protein (IGFBP) research. Front Endocrinol 2018;9:667.
    1. Steiglitz BM, Keene DR, D.S. Greenspan DS.. PCOLCE2 encodes a functional procollagen C-proteinase enhancer (PCPE2) that is a collagen-binding protein differing in distribution of expression and post-translational modification from the previously described PCPE1. J Biol Chem 2002;277:49820-30.
    1. Martin TJ, Sims NA. RANKL/OPG; Critical role in bone physiology. Rev Endocr Metab Disord 2015;16:131-39.
    1. Fuente R, Gil-Peña H, Claramunt-Taberner D, et al. . X-linked hypophosphatemia and growth. Rev Endocr Metab Disord. 2017;18:107-15.
    1. Cardoso JF. Source separation using higher order moments. Proceedings of the ICASSP 1989;2109-12.
    1. Saelens W, Cannoodt R, Saeys Y. A comprehensive evaluation of module detection methods for gene expression data. Nature Communications 2018;9:1090.
    1. Knapp TR. Canonical correlation analysis: A general parametric significance-testing system. Psychological Bulletin 1978;85:410-16.
    1. Crawley SW, Shifrin . DA. Jr Grega-Larson NE, et al. . Intestinal brush border assembly driven by protocadherin-based intermicrovillar adhesion. Cell 2014;157:433-46.
    1. Gora MJ, Sauk JS, Carruth RW, et al. . Imaging the upper gastrointestinal tract in unsedated patients using tethered capsule endomicroscopy. Gastroenterology 2013;145:723-5.
    1. Liu TC, VanBuskirk K, Ali SA et al. . A novel histological index for evaluation of environmental enteric dysfunction dentifies geographic-specific features of enteropathy among children with suboptimal growth. PLoS Negl Trop Dis 2020;14:1-21.

Source: PubMed

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