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1.
Open Forum Infect Dis ; 6(7): ofz271, 2019 Jul.
Article in English | MEDLINE | ID: mdl-31281865

ABSTRACT

BACKGROUND: Sepsis definitions have evolved, but there is a lack of consensus over adoption of the most recent definition, Sepsis-3. We sought to compare Sepsis-2 and Sepsis-3 in the classification of patients with sepsis and mortality risk at 30 days. METHODS: We used the following definitions: Sepsis-2 (≥2 systemic inflammatory response syndrome criteria + infection), Sepsis-3 (prescreening by quick Sequential Organ Failure Assessment [qSOFA] of ≥2 of 3 criteria followed by the complete score change ≥2 + infection), and an amended Sepsis-3 definition, iqSOFA (qSOFA ≥2 + infection). We used χ 2 or Wilcoxon rank-sum tests, receiver-operator characteristic curves, and survival analysis. RESULTS: We enrolled 176 patients (95% in an intensive care unit, 38.6% female, median age 61.4 years). Of 105 patients classified by Sepsis-2 as having sepsis, 80 had sepsis per Sepsis-3 or iqSOFA (kappa = 0.72; 95% confidence interval [CI], 0.62-0.82). Twenty-five (14.8%) died (20 of 100 with sepsis per Sepsis-2 [20%], and 20 of 77 [26.0%] with sepsis per Sepsis-3 or iqSOFA). Results for Sepsis-3 and iqSOFA were identical. The area under the curve of receiver-operator characteristic (ROC) curves for identifying those who died were 0.54 (95% CI, 0.41-0.68) for Sepsis-2, 0.84 (95% CI, 0.74-0.93) for Sepsis-3, and 0.69 (95% CI, 0.60-0.79) for iqSOFA (P < .01). Hazard ratios for death associated with sepsis were greatest for sepsis or septic shock per Sepsis-3. CONCLUSIONS: Sepsis-3 and iqSOFA were better at predicting death than Sepsis-2. Using the SOFA score might add little advantage compared with the simpler iqSOFA score.

2.
Proc Natl Acad Sci U S A ; 105(8): 3070-5, 2008 Feb 26.
Article in English | MEDLINE | ID: mdl-18287038

ABSTRACT

Nearly 1.7 billion people are infected with Mycobacterium tuberculosis. Its ability to survive intracellularly is thought to be central to its success as a pathogen, but how it does this is poorly understood. Using a Drosophila model of infection, we identify three host cell activities, Rab7, CG8743, and the ESCRT machinery, that modulate the mycobacterial phagosome. In the absence of these factors the cell no longer restricts growth of the non-pathogen Mycobacterium smegmatis. Hence, we identify factors that represent unique vulnerabilities of the host cell, because manipulation of any one of them alone is sufficient to allow a nonpathogenic mycobacterial species to proliferate. Furthermore, we demonstrate that, in mammalian cells, the ESCRT machinery plays a conserved role in restricting bacterial growth.


Subject(s)
Endosomes/metabolism , Multiprotein Complexes/metabolism , Mycobacterium Infections/metabolism , Mycobacterium/growth & development , Mycobacterium/pathogenicity , Animals , Cell Line , DNA-Binding Proteins/genetics , Drosophila , Endosomal Sorting Complexes Required for Transport , Microscopy, Fluorescence , Multiprotein Complexes/genetics , Mycobacterium Infections/genetics , RNA Interference , Species Specificity , Transcription Factors/genetics , Vesicular Transport Proteins/genetics , Virulence , rab GTP-Binding Proteins/genetics , rab7 GTP-Binding Proteins
3.
Inorg Chem ; 44(6): 2018-30, 2005 Mar 21.
Article in English | MEDLINE | ID: mdl-15762729

ABSTRACT

The synthesis of a series of coumarin-based chemosensor assemblies for zinc is detailed, using established and novel synthetic pathways. Variations of the nature of the chelating unit (DPA or cyclen), position of the attachment point of the chelating unit (3- or 4-position), and nature of the 7-substituent (-OH, -OAc, or -NR2) on the coumarin play a crucial role in whether, and to what extent, a CHEF-type or ratiometric response of the chemosensor is observed. Solvent effects are also discussed. The chemosensors were shown to be competent for detecting zinc pools in cultured rat pituitary (GH3) and hepatoma (H4IIE) cell lines. The work further defines the design algorithms for zinc-selective CHEF-type and ratiometric chemosensors.


Subject(s)
Algorithms , Chelating Agents/chemical synthesis , Coumarins/chemical synthesis , Zinc/chemistry , Animals , Chelating Agents/chemistry , Coumarins/chemistry , Rats , Structure-Activity Relationship , Tumor Cells, Cultured
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