Molecular Approaches in the Diagnosis of Diarrhoeal Disease in Children from Rural Gambia
Notice bibliographique
Résumé
Enteroaggregative <i>Escherichia coli</i> (EAEC) is a genetically diverse enteric pathogen that causes growth faltering among children, acute and chronic diarrhoea among children and adults living in both industrialised and low income countries. The German outbreak of EAEC-Shiga-toxin-E. coli in 2011 resulted in over 4000 confirmed cases of diarrhoea with over 54 fatalities in 14 European countries as well as United State of America and Canada. Several studies conducted in sub-Sahara Africa (SSA), Latin America and Asia countries have identified EAEC more frequently than any other bacterial pathogens. In SSA, case fatality due to EAEC is not well documented but the morbidity rate particularly among younger children is huge. Studies conducted in Senegal, Central-Africa-Republic and Tanzania showed that EAEC were endemic among HIV-positive patients with diarrhoea. Few studies from SSA have reported distribution of antimicrobial resistance pattern of EAEC. <br><br> The Global Enteric Multisite Study (GEMS), a three-year case-control study conducted in seven African and Asia countries, showed that the prevalence of EAEC was higher among children with no diarrhoea (463/741, 62.5%) compared to children with diarrhoea (278/741, 37.5%). <br><br> The aim of this retrospective analytical study nested to GEMS is to explore other molecular approaches that identify infectious EAEC and to show the genetic diversity and antimicrobial resistant pattern of EAEC. Study design of the first approach involves unmatched case-control 428 (157 cases and 271 controls) EAEC isolates that were examined by polymerase chain reaction (PCR) for the presence of 21 common EAEC virulence genes. This investigation implicated plasmid-encoded toxin (<i>pet</i>), AAF/1 fimbrial subunit (<i>aggA</i>) and hexosyltransferase homolog (<i>capU</i>) to be associated with diarrhoea in infants. In addition, two other virulence genes; Shigella exracellular protease A (<i>sepA</i>) and EAEC-heat-stable enterotoxin 1 (<i>EAST1</i>) were implicated in the EAEC that cause diarrhoea among children under 5 years old. <br><br> The second approach utilised qualitative PCR (TaqMan-qPCR) method to assess the use of bacterial load diagnostic tool to diagnose infectious EAEC on selected matched case-control 160 (80 cases and 80 controls) EAEC isolates. Two biomarker genes, aatA and aaiC were the target in this study and both resulted in higher rate of higher bacterial load in controls (58/80 [72.5%]) compared to cases 48/80 [60%]), p – value 0.096. <br><br> The third approach explored bacterial biofilm formation to diagnose infectious EAEC on 400 unmatched cases (150) and controls (250) EAEC isolates. Infectious EAEC produces biofilm to consolidate its colonisation in the host and damage to the tissue. The result of this study showed higher proportion of biofilm-producing EAEC in controls (61%) compared to cases (39%). However, biofilm-producing EAEC isolates that has <i>aggR</i> gene combined with one or all of the following virulence genes <i>aatA, Aap, Orf3</i> and <i>Orf61</i> revealed strong association with diarrhoea. <br><br> Investigation into the antimicrobial resistant EAEC on the same 400 unmatched EAEC isolates revealed multi-drug resistant (MDR) EAEC infection as a significant problem among infants in the Gambia. MDR EAEC strains are almost equally distributed among cases and controls, and high (>71%) rate of resistant to Ampicillin, Sulphamethoxazole-trimethoprim and Tetracycline, and moderate (25%) rate of resistant to Chloramphenicol among study children. However, over ninety-four percent of the Gambia EAEC strains are susceptible to Cefotaxime, Ceftazidime, Ceftriaxone, Ciprofloxacin, Gentamicin and Amoxicillin-clavulanic acid. <br><br> Additionally, result of whole genome sequencing (WGS) on 50 randomly selected EAEC isolates showed average 94% concordance of resistance genes with phenotypic disc diffusion method. <br><br> This thesis provides detailed initial description and exploration of virulence genes associated with EAEC strains circulating in the rural Gambia and has revealed the likely biomarker genes to target in the diagnosis of infectious EAEC that cause diarrhoea in infant.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,007 | 0,004 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».