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Record 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 on OpenAlexafffund
Christopher J. Pappas, Camila Hamond, Helena Pětrošová, Ellie J. Putz

Bibliographic record

VenueFrontiers in Microbiology · 2024
Typeeditorial
Languageen
FieldImmunology and Microbiology
TopicLeptospirosis research and findings
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of CanadaGenome British ColumbiaGenome Canada
KeywordsLyme diseaseTransmission (telecommunications)PathogenVirologySyphilisPathogenesisBiologyLeptospirosisMedicineMicrobiologyImmunologyHuman immunodeficiency virus (HIV)

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.046
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.001
Science and technology studies0.0020.002
Scholarly communication0.0060.006
Open science0.0040.001
Research integrity0.0120.012
Insufficient payload (model declined to judge)0.0460.033

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.247
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

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