Background: Exotoxins secreted from Staphylococcus aureus or Streptococcus pyogenes act as superantigens that induce systemic release of inflammatory cytokines and are a common cause of toxic shock syndrome (TSS). However, little is known about TSS caused by coagulase-negative staphylococci (CoNS) and the underlying mechanisms. Here, we present a rare case of TSS caused by Staphylococcus simulans (S. simulans).

Case Presentation: We report the case of a 75-year-old woman who developed pneumococcal pneumonia and bacteremia from S. simulans following an influenza infection. The patient met the clinical criteria for probable TSS, and her symptoms included fever of 39.5 °C, diffuse macular erythroderma, conjunctival congestion, vomiting, diarrhea, liver dysfunction, and disorientation. Therefore, the following treatment was initiated for bacterial pneumonia complicating influenza A with suspected TSS: meropenem (1 g every 8 h), vancomycin (1 g every 12 h), and clindamycin (600 mg every 8 h). Blood cultures taken on the day after admission were positive for CoNS, whereas sputum and pharyngeal cultures grew Streptococcus pneumoniae (Geckler group 4) and methicillin-sensitive S. aureus, respectively. However, exotoxins thought to cause TSS, such as TSS toxin-1 and various enterotoxins, were not detected. The patient's therapy was switched to cefazolin (2 g every 8 h) and clindamycin (600 mg every 8 h) for 14 days based on microbiologic test results. She developed desquamation of the fingers on hospital day 8 and was diagnosed with TSS. Conventional exotoxins, such as TSST-1, and S. aureus enterotoxins were not detected in culture samples. The serum levels of inflammatory cytokines, such as neopterin and IL-6, were high. CD8+ T cells were activated in peripheral blood. Vβ2+ population activation, which is characteristic for TSST-1, was not observed in the Vβ usage of CD8+ T cells in T cell receptor Vβ repertoire distribution analysis.

Conclusions: We present a case of S. simulans-induced TSS. Taken together, we speculate that no specific exotoxins are involved in the induction of TSS in this patient. A likely mechanism is uncontrolled cytokine release (i.e., cytokine storm) induced by non-specific immune reactions against CoNS proliferation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789174PMC
http://dx.doi.org/10.1186/s12879-020-05731-yDOI Listing

Publication Analysis

Top Keywords

tss
10
toxic shock
8
shock syndrome
8
cytokine storm
8
caused staphylococcus
8
staphylococcus simulans
8
inflammatory cytokines
8
tss tss
8
tss caused
8
clindamycin 600 mg
8

Similar Publications

Purpose: This study aimed to compare the biomechanical properties of four meniscal suture configurations-two simple sutures (TSS), two cinch sutures, a locking loop stitch (LLS), and a delta-grip stitch (DGS)-for transtibial pullout repair of medial meniscus posterior root tears (MMPRTs) using porcine menisci.

Methods: Forty porcine menisci were randomly assigned to each suture configuration with all-inside repair. All specimens were subjected to cyclic loading for 1000 cycles, followed by a load-to-failure test.

View Article and Find Full Text PDF

TFinder: A Python Web Tool for Predicting Transcription Factor Binding Sites.

J Mol Biol

February 2025

University Côte d'Azur, INSERM, CNRS, Institut de Pharmacologie Moléculaire et Cellulaire, "Laboratory of Excellence (LABEX) Distalz", Valbonne, France. Electronic address:

Transcription is a key cell process that consists of synthesizing several copies of RNA from a gene DNA sequence. This process is highly regulated and closely linked to the ability of transcription factors to bind specifically to DNA. TFinder is an easy-to-use Python web portal allowing the identification of Individual Motifs (IM) such as Transcription Factor Binding Sites (TFBS).

View Article and Find Full Text PDF

Urban stormwater pollution poses serious risks to human and environmental health, including trace metals toxicity. To improve the performance of existing highway Vegetated Filter Strips (VFS), which have limited performance for volume reduction and pollutant removal, amendment with a Vegetated Compost Blanket (VCB), a layer of seeded compost, has been proposed. A novel VCB/VFS system was assessed as a Stormwater Control Measure (SCM) via particulate matter and trace metals removal performance.

View Article and Find Full Text PDF

Estimating the impacts of anthropogenic activities and climate change on species' spatial distributions is crucial for conservation. In this study, based on 62 valid occurrence records of and 24 environmental factors (19 climate factors, 4 topographic factors, and 1 human activity factor), we utilized the biomod2 combined model platform to predict suitable habitats for under two current scenarios (Scenario 1: natural state; Scenario 2: human interference state) and two future climate scenarios (SSP1-2.6 and SSP5-8.

View Article and Find Full Text PDF

[Prediction of potential geographic distribution of in Yunnan Province using random forest and maximum entropy models].

Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi

December 2024

Yunnan Institute of Endemic Diseases Control and Prevention, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali, Yunnan 671000, China.

Objective: To predict the potential geographic distribution of in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into surveillance and control in Yunnan Province.

Methods: The snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!