A comprehensive list of bacterial pathogens infecting humans

Bartlett, Abigail; Padfield, Daniel; Lear, Luke; Bendall, Richard; Vos, Michiel

doi:10.1099/mic.0.001269

Cited by 59 publications

(34 citation statements)

References 36 publications

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“…Bartlett et al . [40] curated a list of 1,513 bacterial species that have been recorded to lead to infection, even considering opportunistic infections. Additionally, the SIDER Side Effect Resource [41] presents all recorded side effects, as defined in the MedDRA [42], associated with the use of thousands of drugs.…”

Section: Resultsmentioning

confidence: 99%

Similarity of drug targets to human microbiome metaproteome promotes pharmacological promiscuity

Beaudoin,

Norget,

Hala

et al. 2024

Preprint

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Similarity between candidate drug targets and human proteins is commonly assessed to minimize the occurrence of side effects. Although numerous drugs have been found to disrupt the health of the human microbiome, no comprehensive comparison between established drug targets and the human microbiome metaproteome has yet been conducted. Therefore, herein, sequence and structure alignments between human and pathogen drug targets and representative human gut, oral, and vaginal microbiome metaproteomes were performed. Both human and pathogen drug targets were found to be similar in sequence, function, structure, and drug binding capacity to proteins in diverse pathogenic and non-pathogenic bacteria from all three microbiomes. The gut metaproteome was identified as particularly susceptible overall to off-target effects. Certain symptoms, such as infections and immune disorders, may be more common among drugs that non-selectively target host microbiota. These findings suggest that similarities between human microbiome metaproteomes and drug target candidates should be routinely checked.

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Section: Resultsmentioning

confidence: 99%

Similarity of drug targets to human microbiome metaproteome promotes pharmacological promiscuity

Beaudoin,

Norget,

Hala

et al. 2024

Preprint

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“…The ANCOMBC algorithm has been shown to minimise bias due to sampling fractions and reduces false discovery rates. We downloaded a comprehensive list of pathogens from Bartlett, Padfield (34)) to examine pathogenic read abundances in the samples. Time-series analyses were performed using repeated-ANOVAS with R rstatix package (version 0.7.2; 35).…”

Section: Discussionmentioning

confidence: 99%

Short-term passive greenspace exposures have little effect on nasal microbiomes: a cross-over exposure study of a Māori cohort

Brame,

Warbrick,

Heke

et al. 2024

Preprint

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Indigenous health interventions have emerged in New Zealand aimed at increasing human interactions with and exposure to macro and microbial diversity. Urban greenspaces provide opportunities for people to gain such exposures. However, the dynamics and pathways of microbial transfer from natural environments onto a person remain poorly understood. Here, we analysed bacterial 16S rRNA amplicons in air samples (n= 7) and pre- and post-exposure nasal samples (n= 238) from 35 participants who had 30-minute exposures in an outdoor park. The participants were organised into two groups: over eight days each group had two outdoor park exposures and two indoor office exposures, with a cross-over study design and washout days between exposure days. We investigated the effects of participant group, location (outdoor park vs. indoor office), and exposures (pre vs. post) on the nasal bacterial community composition and three key suspected health-associated bacterial indicators (alpha diversity, generic diversity of Gammaproteobacteria, and read abundances of butyrate-producing bacteria). The participants had distinct nasal bacterial communities, but these communities did not display notable shifts in composition following exposures. The community composition and key health bacterial indicators were stable throughout the trial period, with no clear or consistent effects of group, location, or exposure. We conclude that 30-minute exposure periods to urban greenspaces are unlikely to create notable changes in the nasal microbiome of visitors, which contrasts with previous research. Our results suggest that longer exposures or activities that involves closer interaction with microbial rich ecological components (e.g., soil) are required for greenspace exposures to result in noteworthy changes in the nasal microbiome.

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“…It can exist in aggregate form (Chakraborty et al 2011) contributing to the development of biofilm on various polymers (Shen et al 2013; Walczak et al 2015; Fang et al 2020). Mycobacterium is one of the bacterial genera hosting the highest number of potential pathogenic species (Bartlett et al 2022), prone to form aggregates (Borrego et al 2000) and develop biofilm, eventually causing infectious diseases (Esteban and García-Coca 2018). All in all, unsurprisingly, many of the removed bacteria can either be found in aggregates or even filamentous forms and are therefore preferentially ingested by Daphnia .…”

Section: Discussionmentioning

confidence: 99%

Zooplankton impacts on the persistence of the anthropogenic pollution markerintI1 in lake water

Borgomaneiro,

Cesare,

Callieri

et al. 2024

Preprint

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Wastewater treatment plants (WWTP) effluents can release microbiological pollutants, including the intI1 gene (integrases of class 1 integrons), which has been proposed as a target for monitoring anthropogenic pollution in surface waters. This gene has also a strong correlation with antibiotic resistance, making of it an important proxy to evaluate the level of genetic contamination in aquatic environments. he ecological factors that influence the abundance and dynamics of intI1 within natural water bodies are largely unknown. To better understand the fate of class 1 integrons in aquatic systems, we resorted to classical limnological monitoring of intI1 over multiple years. We also conducted experiments to elucidate the impact of Daphnia grazing on its abundance. The monitoring of different size fractions of the Lake Maggiore microbial community has shown a particle-bound life-style for intI1-harbouring bacteria. Most of the bacteria hosting intI1, originating from both a wastewater effluent that discharges intro Lake Maggiore and lake water itself, grow on particulate substrates in open waters, making them particularly vulnerable to grazing by large filter feeders such as Daphnia. Daphnia grazing is independent from the origin (lake water or wastewater) of the bacterial genera; it selectively removes bacteria that are present in aggregates or even filamentous forms from both origins. To understand if intI1 is related to viable bacteria or just DNA residues, it is important to study the persistence of class 1 integrons with their gene cassettes, which often contain antibiotic resistance genes in freshwater ecosystems.

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A comprehensive list of bacterial pathogens infecting humans

Cited by 59 publications

References 36 publications

Similarity of drug targets to human microbiome metaproteome promotes pharmacological promiscuity

Similarity of drug targets to human microbiome metaproteome promotes pharmacological promiscuity

Short-term passive greenspace exposures have little effect on nasal microbiomes: a cross-over exposure study of a Māori cohort

Zooplankton impacts on the persistence of the anthropogenic pollution markerintI1 in lake water

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