Assessing the performance of TRX and DUF148 antigens for detection of prepatent Guinea worm ( <i>Dracunculus medinensis</i> ) infection in dogs
Notice bibliographique
Résumé
Abstract Guinea worm (GW, Dracunculus medinensis ) is a nematode that causes a painful and debilitating neglected tropical disease in humans. The GW Eradication Program has decreased human infections by >99% over the last 40 years. However, GW emergence in animal hosts, particularly dogs, has hampered eradication efforts. Currently, there is no method for diagnosing GW infection in animals during the prepatent period, before the adult female worms emerge. Previous works have identified two GW proteins, TRX and DUF148, as immunoreactive antigens with GW-positive human and dog sera. This study developed and validated indirect enzyme-linked immunosorbent assays (ELISA) using each antigen alone or in a combination of both antigens. Using serum samples from experimentally exposed dogs, TRX and DUF148 showed reactivity at 9- and 11-weeks post-exposure, respectively. In an experimentally infected ferret, TRX and DUF148 showed reactivity at 13- and 15-weeks post-exposure, respectively. These antigens were further validated using sera of dogs from endemic villages in Chad (n=47) and shelter dogs from the non-endemic United States (n=492). DUF148 showed better reactivity and sensitivity of 76.6.% in detecting GW infection in prepatent sera compared to TRX. However, DUF148 cross-reacted with one serum sample from Brugia pahangi experimental infection and several shelter dog sera. The anti-DUF148 titer was significantly higher in the shelter dogs positive for gastrointestinal nematodes than in negative dogs. To mitigate this cross-reaction, we produced 3 peptides of DUF148. Peptide 3 from the C-terminal was more reactive with prepatent sera and had a sensitivity of 83%; however, the specificity was not superior to DUF148 whole antigen. The antibody response to DUF148 in Chad dogs with the history of GW emergence waned overtime but was detectable until two years post-GW-emergence. Our findings could facilitate the development of diagnostic methods for early detection of GW infection in dogs in endemic countries. Authors summary Dracunculiasis or Guinea worm (GW) disease is a neglected tropical disease caused by the nematode Dracunculus medinensis and is targeted for eradication by the World Health Organization. The main challenge for the eradication program is the emergence of animal infections, especially dogs. Diagnostic tests are needed to find infected dogs during the prepatent period to better control infection and prevent the spread of GW. Previous studies have found two immunoreactive GW proteins, TRX and DUF148. In this study, we validated these antigens to detect infection in before GW emergence. Using sera of dogs from endemic areas of Chad, we found that DUF148 was more reactive and had promising sensitivity to detect the prepatent infection in an indirect ELISA assay. However, DUF148 also showed cross-reaction with some sera of dogs from the Unites States, a non-endemic area for GW. To mitigate this cross-reactivity, we performed ELISA using shorter peptides. We found peptide 3 that covers the C-terminal of the protein is the immunogenic part of DUF148. However, peptide 3 ELISA did not outperform whole antigen ELISA. This study confirms the applicability of DUF148 ELISA in detecting prepatent infections in dogs and could assist the GW Eradication Program.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,000 |
| 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 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 ».