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Enregistrement W4403908763 · doi:10.3389/fmicb.2024.1510000

Editorial: Spirochetal diseases (syphilis, Lyme disease, and leptospirosis): transmission, pathogenesis, host-pathogen interactions, prevention, and treatment

2024· editorial· en· W4403908763 sur OpenAlexafffund
Christopher J. Pappas, Camila Hamond, Helena Pětrošová, Ellie J. Putz

Notice bibliographique

RevueFrontiers in Microbiology · 2024
Typeeditorial
Langueen
DomaineImmunology and Microbiology
ThématiqueLeptospirosis research and findings
Établissements canadiensUniversity of Victoria
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaGenome British ColumbiaGenome Canada
Mots-clésLyme diseaseTransmission (telecommunications)PathogenVirologySyphilisPathogenesisBiologyLeptospirosisMedicineMicrobiologyImmunologyHuman immunodeficiency virus (HIV)

Résumé

récupéré en direct d'OpenAlex

Order Spirochaetales are Gram-negative and Gram-negative-like bacteria with unique morphological and functional features. They are distinguished from other bacteria by the presence of endoflagella, which gives this Phylum of bacteria spiral morphology and distinct motility (San Martin et al 2023). Their unusual cellular ultrastructure, motility, and metabolic pathways, immune evasion strategies, and gene regulation has evoked the maxim ‘spirochetes do it differently’ (Charon et al. 2012). Within the Phylum, there are several orders of spirochetes of importance to human health. These comprise Leptospirales and Spirochetales. The leptospires include the Genus Leptospira which have distinct pathogenic potential, comprising infectious and free-living non-infectious species. Pathogenic species (e.g., L. interrogans and L. borgpetersenii) are the causative agents of the disease leptospirosis, which can manifest as fever, kidney and liver dysfunction, and Weil’s disease, among other sequelae (Adler and de la Pena Moctezuma 2009). Within Spirochetales are two Genera of importance to human health: Treponema and Borrelia. Treponema include several species of medical importance, including Treponema pallidum subspecies pallidum, which is the etiologic agent of syphilis (Norris et al. 2015). In Borrelia, several species have been identified as the causative organisms of Lyme disease, including Borrelia burgdorferi and Borrelia garinii (Steere et al. 2016). Spirochetal diseases pose immense and growing global threats to human and animal health, as well as an economic burden to impacted communities. This collection has been organized to better understand the pathogenesis and escape mechanisms of spirochetes, along with host-pathogen interactions, immune evasion mechanisms, prevention strategies, and novel treatment strategies for spirochetal infections. Highlights from the collection’s manuscripts are summarized below.One of the areas of concern is accurate diagnosis of an active infection in people with suspected syphilis, as the current tests have high false positive and false negative rates. Oliveira Silva et al. (2024) determined the efficacy of using two T. pallidum proteins as serological markers of an active infection by indirect ELISA in various stages of disease. Their findings demonstrated that using TpN17 along with TmpA had high sensitivity and specificity for detection of T. pallidum infection, with minimal cross-reactivity with other pathologies. Another area of consideration with diagnoses is cost-effectiveness. In the study by Zhang et al. (2024) the authors conducted a literature review to assess the cost-effectiveness of screening for syphilis in pregnant women. The authors concluded that early stage screening is not only cost effective, but also increases the likelihood of positive outcomes for both the mother and the fetus.Once spirochetes enter into a mammalian host, they undergo various gene expression changes to adapt to their new physiological environment. At the same time, these pathogens can alter the host environment to disseminate and establish infection. Waugh et al. (2023) described how T. pallidum alters host pathways in endothelial cells, including changes to the extracellular matrix milieu, innate immune signaling, and cytokine response within host cells. Shen et al. (2023) demonstrated by flow cytometry that the total number of T follicular helper cells varies in percentage and type by stage of syphilis. In Borrelia, VLS and VLS-like proteins, which are important for immune evasion in Borrelia species, were reanalyzed by Norris and Brangulis (2024) to decipher gene conservation and divergence amongst various Borrelia. Finally, the review by Surdel and Coburn (2024) described how pathogenic Leptospira adhere to host molecules. They also discuss current methodologies used to study adhesins, and conclude with future avenues of research and the potential for anti-adhesion therapies.Finally, research into treatment methodologies and prognosis of spirochetal infections is important to human health. In the paper by Wu et al. (2024) the authors ran a retrospective case control study on 86 HIV and syphilis co-infected patients and found elevated cases of syphilis reinfection in patients that were effectively treated for the disease. They concluded that education of patients along with follow-up care could help these patients avoid reinfection with T. pallidum.With an increase in global temperature due to climate change, it is anticipated that cases of leptospirosis and Lyme disease will increase in the coming years (Lau et al. 2010, Beard et al. 2016). Syphilis is sometimes considered a disease of the past, but its incidence has been sharply rising globally. This alarming increase, coupled with the worldwide shortage of the first-choice antibiotic treatment benzathine penicillin G, underscores the urgent need for increased surveillance, novel laboratory testing, and treatment strategies (Valentine and Bolan 2018). Collectively, these exceptional manuscripts aid our understanding of these diseases and their underlying etiologic agents, and help us towards the path of disease control.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,019
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,046
Score d'incertitude au seuil0,153

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,019
Méta-épidémiologie (sens strict)0,0040,001
Méta-épidémiologie (sens large)0,0040,003
Bibliométrie0,0040,001
Études des sciences et des technologies0,0020,002
Communication savante0,0060,006
Science ouverte0,0040,001
Intégrité de la recherche0,0120,012
Charge utile insuffisante (le modèle a refusé de juger)0,0460,033

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.

Tête enseignante Opus0,005
Tête enseignante GPT0,247
Écart entre enseignants0,242 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission2
Résumé présentoui

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