NIH funds multi-university study of new public health threat
Notice bibliographique
Résumé
GRAND FORKS, N.D.—A distantly related cousin to the bacterium that causes Lyme disease is the focus of a new multi-university research study funded by the National Institutes of Health Institute of Allergy and Infectious Diseases. The grant brings together an expert team of microbiologists and tick researchers led by Principal Investigator Brian Stevenson, PhD, a professor at the University of Kentucky, and Coinvestigators Catherine A. Brissette , PhD, an assistant professor at the University of North Dakota School of Medicine and Health Sciences; and Jean Tsao, PhD, an associate professor at Michigan State University. Lyme disease is caused by a spiral-shaped bacterium known as Borrelia burgdorferi, which is the cause of more than 90 percent of all tick-borne diseases affecting humans in the United States. Estimates from the Centers for Disease Control and Prevention (CDC) suggest that 300,000 people each year are affected by Lyme disease. Lyme disease is a debilitating and significant public health problem that can result in arthritis, heart problems, and neurological impairment and disability. The focus of the new NIH grant is the Lyme disease bacterium’s distant cousin known as Borrelia miyamotoi (B. miyamotoi) ; it was first identified in ticks from Japan. People infected with B. miyamotoi may require hospitalization, with symptoms that include high fever, joint and muscle pain, and inflammation of the membranes that surround the spinal cord and the brain. Both bacteria are spread by black-legged, or deer, ticks, which are found in eastern North Dakota, eastern Manitoba, Minnesota, and Wisconsin. For deer ticks to acquire either type of bacteria, they must feed on the blood of an infected animal for several days. After which, the ticks can bite and then spread the disease to humans. However, Borrelia miyamotoi may be the more insidious of the two bacterial cousins. In addition to infecting ticks that feed on infected animals, B. miyamotoi can also be passed transovarially, that is, from the tick mother to its offspring by infecting the eggs in the tick’s ovaries—significantly multiplying the number of ticks that can spread the infection. But almost nothing is known about how or where in the tick the bacterium takes hold. “We are excited to be part of a dynamic research team on a newly recognized human pathogen,” Brissette said. “The first reports of Borrelia miyamotoi infection are only from 2011 in Russia, and we know almost nothing about this bacterium. For a microbiologist, there’s nothing more thrilling than being on the front lines of discovery.” Other researchers working on the study are PhD candidates Christina Savage, in the Stevenson lab; Brandee Stone, MS, in the Brissette lab; and Seungeun Han, DVM, in the Tsao lab. They will assist the principal and coinvestigators in a series of synergistic studies to expand the understanding of B. miyamotoi transmission and infection mechanisms, including where the bacterium resides within the tick, how fast the bacterium is transmitted once a tick begins feeding, how the bacterium evades host immune responses, and how transovarial transmission of B. miyamotoi affects human disease risk. “These results will help us understand the threat of this emerging pathogen to humans,” Brissette said.
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 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 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,056 | 0,005 |
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 ».