Checkley W, White AC, Jaganath D, Arrowood MJ, Chalmers RM, Chen XM, et al. A review of the global burden, novel diagnostics, therapeutics, and vaccine targets for Cryptosporidium. Lancet Infect Dis. 2015;15(1):85–94.
Kotloff KL, Nataro JP, Blackwelder WC, Nasrin D, Farag TH, Panchalingam S, et al. Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study. Lancet. 2013;382(9888):209–22.
Platts-Mills JA, Babji S, Bodhidatta L, Gratz J, Haque R, Havt A, et al. Pathogen-specific burdens of community diarrhoea in developing countries: a multisite birth cohort study (MAL-ED). Lancet Glob Health. 2015;3(9):e564–575.
Article PubMed PubMed Central Google Scholar
Mølbak K, Højlyng N, Gottschau A, Sá JC, Ingholt L, da Silva AP, et al. Cryptosporidiosis in infancy and childhood mortality in Guinea Bissau, West Africa. BMJ. 1993;307(6901):417–20.
Article PubMed PubMed Central Google Scholar
Khalil IA, Troeger C, Rao PC, Blacker BF, Brown A, Brewer TG, et al. Morbidity, mortality, and long-term consequences associated with diarrhoea from Cryptosporidium infection in children younger than 5 years: a meta-analyses study. Lancet Glob Health. 2018;6(7):e758–68.
Article PubMed PubMed Central Google Scholar
Shirley DAT, Moonah SN, Kotloff KL. Burden of disease from cryptosporidiosis. Curr Opin Infect Dis. 2012;25(5):555–63.
Article PubMed PubMed Central Google Scholar
English ED, Guérin A, Tandel J, Striepen B. Live imaging of the Cryptosporidium parvum life cycle reveals direct development of male and female gametes from type I meronts. PLoS Biol. 2022;20(4):e3001604.
Article CAS PubMed PubMed Central Google Scholar
Laurent F, Lacroix-Lamandé S. Innate immune responses play a key role in controlling infection of the intestinal epithelium by Cryptosporidium. Int J Parasitol. 2017;47(12):711–21.
Article CAS PubMed Google Scholar
Kaye JL. Review of paediatric gastrointestinal physiology data relevant to oral drug delivery. Int J Clin Pharm. 2011;33(1):20–4.
Uriot O, Chalancon S, Mazal C, Etienne-Mesmin L, Denis S, Blanquet-Diot S. Use of the dynamic TIM-1 model for an in-depth understanding of the survival and virulence gene expression of Shiga toxin-producing Escherichia coli in the human stomach and small intestine. Methods Mol Biol. 2021;2291:297–315.
Miszczycha SD, Thévenot J, Denis S, Callon C, Livrelli V, Alric M, et al. Survival of Escherichia coli O26:H11 exceeds that of Escherichia coli O157:H7 as assessed by simulated human digestion of contaminated raw milk cheeses. Int J Food Microbiol. 2014;172:40–8.
Article CAS PubMed Google Scholar
Roussel C, Cordonnier C, Galia W, Le Goff O, Thévenot J, Chalancon S, et al. Increased EHEC survival and virulence gene expression indicate an enhanced pathogenicity upon simulated pediatric gastrointestinal conditions. Pediatr Res. 2016;80(5):734–43.
Article CAS PubMed Google Scholar
Roussel C, De Paepe K, Galia W, De Bodt J, Chalancon S, Leriche F, et al. Spatial and temporal modulation of enterotoxigenic E. Coli H10407 pathogenesis and interplay with microbiota in human gut models. BMC Biol. 2020;18(1):141.
Article CAS PubMed PubMed Central Google Scholar
Roussel C, De Paepe K, Galia W, de Bodt J, Chalancon S, Denis S, et al. Multi-targeted properties of the probiotic Saccharomyces cerevisiae CNCM I-3856 against enterotoxigenic Escherichia coli (ETEC) H10407 pathogenesis across human gut models. Gut Microbes. 2021;13(1):1953246.
Article PubMed PubMed Central Google Scholar
Cavestri C, Savard P, Fliss I, Emond-Rhéault JG, Hamel J, Kukavica-Ibrulj I, et al. Salmonella enterica subsp. enterica virulence potential can be linked to higher survival within a dynamic in vitro human gastrointestinal model. Food Microbiol. 2022;101:103877.
Article CAS PubMed Google Scholar
Sauvaitre T, Van Landuyt J, Durif C, Roussel C, Sivignon A, Chalancon S, et al. Role of mucus-bacteria interactions in Enterotoxigenic Escherichia coli (ETEC) H10407 virulence and interplay with human microbiome. NPJ Biofilms Microbiomes. 2022;8(1):86.
Article CAS PubMed PubMed Central Google Scholar
Swale C, Bougdour A, Gnahoui-David A, Tottey J, Georgeault S, Laurent F, et al. Metal-captured inhibition of pre-mRNA processing activity by CPSF3 controls Cryptosporidium infection. Sci Transl Med. 2019;11(517):eaax7161.
Article CAS PubMed Google Scholar
Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013;29(1):15–21.
Article CAS PubMed Google Scholar
Love MI, Huber W, Anders S. Moderated estimation of Fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550.
Article PubMed PubMed Central Google Scholar
Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–40.
Article CAS PubMed Google Scholar
Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000;25(1):25–9.
Article CAS PubMed PubMed Central Google Scholar
Gene Ontology Consortium, Aleksander SA, Balhoff J, Carbon S, Cherry JM, Drabkin HJ, et al. The Gene Ontology knowledgebase in 2023. Genetics. 2023;224(1):iyad031.
Kanehisa M, Goto S. KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 2000;28(1):27–30.
Article CAS PubMed PubMed Central Google Scholar
Kanehisa M. Toward understanding the origin and evolution of cellular organisms. Protein Sci. 2019;28(11):1947–51.
Article CAS PubMed PubMed Central Google Scholar
Kanehisa M, Furumichi M, Sato Y, Kawashima M, Ishiguro-Watanabe M. KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 2023;51(1):587–D592.
Heiges M, Wang H, Robinson E, Aurrecoechea C, Gao X, Kaluskar N, et al. CryptoDB: a Cryptosporidium bioinformatics resource update. Nucleic Acids Res. 2006;34:419–22.
Noguchi K, Gel YR, Brunner E, Konietschke F. nparLD: an R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial experiments. J Stat Softw. 2012;50:1–23.
Konietschke F, Placzek M, Schaarschmidt F, Hothorn LA. Nparcomp: an R Software Package for nonparametric multiple comparisons and simultaneous confidence intervals. J Stat Softw. 2015;64:1–17.
Smith HV, Nichols RAB, Grimason AM. Cryptosporidium Excystation and invasion: getting to the guts of the matter. Trends Parasitol. 2005;21(3):133–42.
Article CAS PubMed Google Scholar
Widmer G, Klein P, Bonilla R. Adaptation of Cryptosporidium oocysts to different excystation conditions. Parasitology. 2007;134(11):1583–8.
Article CAS PubMed Google Scholar
Robertson LJ, Campbell AT, Smith HV. In vitro excystation of Cryptosporidium parvum. Parasitology. 1993;106:13–9.
Forney JR, Yang S, Healey MC. Protease activity associated with excystation of Cryptosporidium parvum oocysts. J Parasitol. 1996;82(6):889–92.
留言 (0)