Association of Faecalibacterium, Lachnospira, Veillonella, and Rothia with childhood wheezing
Notice bibliographique
Résumé
Wheezing symptoms among children, present major health and economic problems globally. A recent study conducted in Canada observed a reduction in stool bacterial genera Faecalibacterium, Lachnospira, Veillonella and Rothia (FLVR) in three-month old infants with atopy-wheeze symptoms. It is not known whether this is true in different human populations worldwide. The overall aim of this dissertation was to investigate the contribution of any of the FLVR bacteria or their combination in the occurrence of infant wheezing within the Drakenstein Child Health Study (DCHS), South Africa. To address this aim, I began my thesis's project by conducting a systematic literature review which investigated the association of FLVR bacteria with the occurrence of different respiratory diseases in humans. My review provided evidence for the possible involvement of FLVR bacteria in human respiratory diseases, including asthma, pulmonary tuberculosis and pneumonia. Furthermore, this review highlighted the need for a well-designed and large study to investigate the contribution of the FLVR bacteria in respiratory diseases, in an African setting. Secondly, I optimized SYBR Green based real-time quantitative polymerase chain reaction (qPCR) as well as conventional PCR assays for the detection of FLVR bacteria. Using the optimized assays, I screened 533 stool samples collected from 140 wheezing and 140 nonwheezing infants. The optimized assays demonstrated good performance in the detection of FLVR bacteria from human stool samples. Using qPCR, Rothia, Veillonella, Faecalibacterium and Lachnospira were detected in 90% (479/533), 73% (388/533), 51% (274/533) and 14% (77/533) of the samples, respectively. Conventional PCR permitted the detection of Rothia, Veillonella, Faecalibacterium and Lachnospira in 55% (263/479), 74% (289/388), 53% (145/274) and 0% (0/77) of the qPCR positive samples, respectively. I also determined the factors associated with faecal colonization by FLVR bacteria in the first year of life. I showed that reduced colonisation by Faecalibacterium was associated with male gender (adjusted OR = 0.65, 95%CI: 0.42 - 0.98) and TC-Newman residence (adjusted OR = 0.52, 95%CI: 0.29 - 0.91). Breastfeeding was associated with less colonisation by both Lachnospira, (adjusted OR = 0.17, 95%CI: 0.05 - 0.49) and Veilonella (adjusted OR = 0.32, 95%CI: 0.10 - 0.91). Mother's tertiary education was significantly associated with high Rothia colonisation (adjusted OR = 11.73, 95%CI: 1.36 - 2.58). In the last section of my thesis, I assessed the association of FLVR bacteria with infant wheezing using logistic regression models. I found a significant association of Rothia with reduced risk of infant wheezing (adjusted odds ratio (aOR)=0.54, 95%CI: 0.28-0.93) and recurrent wheezing (aOR=0.29, 95%CI: 0.05-0.88). Using receiver operating characteristic curves (ROC), I showed that among all FLVR bacteria, Lachnospira (AUROC = 0.833, 95%CI: 0.64-1.00) and Rothia (AUC=0.707, 95%CI: 0.62-0.79) could serve as biomarkers for early prediction of infant wheezing. Overall, this is the first study on FLVR bacteria and infant wheezing to be conducted in Africa. Its findings encourage more research to be conducted in order to elucidate the potential protective role of Rothia against childhood wheeze and asthma, as well as the contribution of Lachnospira in asthma development.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».