<i>Notes from the Field: Veillonella</i>Misidentified as<i>Francisella tularensis</i>— Idaho, 2016

Carter, Kris K.; Peterson, Erin M.; Voermans, Rogier P.; Anderson, K.S.; Cox, Tamara; Kassem, Ahmed M.; Ball, Christopher L.; Hahn, Christine

doi:10.15585/mmwr.mm6621a4

Cited by 2 publications

References 3 publications

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Francisella*

Dietrich,

Petersen

2023

ClinMicroNow

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Francisella tularensis is the causative agent of tularemia, an acute and fatal illness in animals and humans. Within the genus Francisella , F. tularensis is joined by several lesser‐known Francisella species which are largely environmental organisms. F. novicida , F. philomiragia , F. hispaniensis , and F. opportunistica cause rare opportunistic infections in immunocompromised individuals. The clinical spectrum of tularemia depends on the mode of transmission, the virulence of the infecting strain, the immune status of the host, and timely diagnosis and treatment. Once an isolate has been identified as a Francisella sp., supplemental tests can be used for additional characterization, including typing of species, subspecies, and strain. Agglutination testing, by either the tube agglutination or the microagglutination method, is a standard serological test for determining the presence of antibodies in tularemia.

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Francisella*

Dietrich,

Petersen

2023

ClinMicroNow

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Characterizing Gut Microbiota in Older Chinese Adults with Cognitive Impairment: A Cross-Sectional Study

Wang,

Zhang,

Lai

et al. 2024

JAD

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Background: Cognitive impairment is a clinical manifestation that occurs in the course of dementia like Alzheimer’s disease. The association between cognitive impairment and gut microbiota is unclear. Objective: We aimed to identify gut microbiota characteristics and key gut microbiota biomarkers associated with cognitive impairment in a relatively large cohort of older adults in China. Methods: A total of 229 adults aged ≥60 years from Shenzhen, China were recruited into this cross-sectional study. Participants were divided into cognitive impairment (CI) and no cognitive impairment (NCI) groups according to the results of the Mini-Mental State Examination. Diversity analysis and network analysis were used to characterize the gut microbiota between the two groups. The linear discriminant analysis effect size method and machine learning approaches were sequentially performed to identify gut microbiota biomarkers. The relationship between biomarkers and lifestyle factors was explored using Transformation-based redundancy analysis (tb-RDA). Results: A total of 74 CI participants and 131 NCI participants were included in the analysis. The CI group demonstrated lower α-diversity compared to the NCI group (Shannon: 2.798 versus 3.152, p < 0.001). The density of the gut microbiota interaction network was lower in the CI group (0.074) compared to the NCI group (0.081). Megamonas, Blautia, Pseudomonas, Stenotrophomonas, and Veillonella were key biomarkers for CI. The tb-RDA revealed that increased fruit intake and exercise contribute to a higher abundance of Megamonas, Blautia, and Veillonella. Conclusions: We identified a significantly reduced abundance of certain beneficial gut microbiota in older Chinese adults with cognitive impairment.

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Notes from the Field: VeillonellaMisidentified asFrancisella tularensis— Idaho, 2016

Cited by 2 publications

References 3 publications

Francisella*

Francisella*

Characterizing Gut Microbiota in Older Chinese Adults with Cognitive Impairment: A Cross-Sectional Study

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