RESUMEN
Zebrafish (Danio rerio) is a widely used vertebrate animal for modeling genetic diseases by targeted editing strategies followed by gross phenotypic and biomarker characterization. While larval transparency permits microscopic detection of anatomical defects, histological adult screening for organ-level defects remains invasive, tedious, inefficient, and subject to technical artifact. Here, we describe a noninvasive magnetic resonance imaging (MRI) approach to systematically screen adult zebrafish for anatomical growth defects. An anatomical atlas of wild-type (WT) zebrafish at 5-31 months post-fertilization was created by ex vivo MRI with a 9.4 T magnet. Volumetric growth over time was measured of animals and major organs, including the brain, spinal cord, heart, eyes, optic nerve, ear, liver, kidneys, and swim bladder. Subsequently, surf1-/-, fbxl4-/-, and opa1+/- mitochondrial disease mutant adult zebrafish were quantitatively studied to compare organ volumes with age-matched WT zebrafish. Results demonstrated that MRI enabled noninvasive, high-resolution, rapid screening of mutant adult zebrafish for overall and organ-specific growth abnormalities. Detailed volumetric analyses of three mitochondrial disease mutants delineated specific organ differences, including significantly increased brain growth in surf1-/- and opa1+/-, and marginally significant decreased heart and spinal cord volumes in surf1-/- mutants. This is interesting as we know neurological involvement can be seen in SURF1-/- patients with ataxia, dystonia, and lesions in basal ganglia, as well as in OPA1+/- patients with spasticity, ataxia, and hyperreflexia indicative of neuropathology. Similarly, cardiomyopathy is a known sequelae of cardiac pathology in patients with SURF1-/--related disease. Future studies will define MRI signaling patterns of organ dysfunction to further delineate specific pathology.
Asunto(s)
Enfermedades Mitocondriales , Pez Cebra , Animales , Pez Cebra/genética , Encéfalo/diagnóstico por imagen , Enfermedades Mitocondriales/patología , Imagen por Resonancia Magnética , Ataxia/patologíaRESUMEN
We prospectively surveyed SARS-CoV-2 RNA contamination in staff common areas within an acute-care hospital. An increasing prevalence of surface contamination was detected over time. Adjusting for patient census or community incidence of coronavirus disease 2019 (COVID-19), the proportion of contaminated surfaces did not predict healthcare worker COVID-19 infection on study units.
Asunto(s)
COVID-19 , Infección Hospitalaria , Humanos , Personal de Salud , Pandemias , Estudios Prospectivos , ARN Viral , SARS-CoV-2RESUMEN
OBJECTIVES: Although extended-spectrum cephalosporin-resistant Enterobacterales (ESCrE) and carbapenem-resistant Enterobacterales (CRE) are a global challenge, data on these organisms in low- and middle-income countries are limited. In this study, we sought to characterize colonization data critical for greater antibiotic resistance surveillance efforts. METHODS: This study was conducted in three hospitals and six clinics in Botswana. We conducted ongoing surveillance of adult patients in hospitals and clinics and adults and children in the community. All participants underwent rectal swab sampling to identify ESCrE and CRE. RESULTS: Enrollment occurred from January 15, 2020, to September 4, 2020, but paused from April 2, 2020, to May 21, 2020, because of a countrywide COVID-19 lockdown. Of 5088 individuals approached, 2469 (49%) participated. ESCrE colonization prevalence was 30.7% overall (43% for hospital participants, 31% for clinic participants, 24% for adult community participants, and 26% for child community participants) (P <0.001). A total of 42 (1.7%) participants were colonized with CRE. CRE colonization prevalence was 1.7% overall (6.8% for hospital participants, 0.7% for clinic participants, 0.2% for adult community participants, and 0.5% for child community participants) (P <0.001). ESCrE and CRE prevalence varied substantially across regions and was significantly higher prelockdown versus postlockdown. CONCLUSIONS: ESCrE colonization was high in all settings in Botswana. CRE prevalence in hospitals was also considerable. Colonization prevalence varied by region and clinical setting and decreased after a countrywide lockdown.
Asunto(s)
COVID-19 , Infecciones por Enterobacteriaceae , Adulto , Antibacterianos/farmacología , Antibacterianos/uso terapéutico , Botswana/epidemiología , Carbapenémicos/farmacología , Carbapenémicos/uso terapéutico , Cefalosporinas , Niño , Control de Enfermedades Transmisibles , Atención a la Salud , Farmacorresistencia Microbiana , Infecciones por Enterobacteriaceae/tratamiento farmacológico , Infecciones por Enterobacteriaceae/epidemiología , Hospitales , HumanosRESUMEN
We evaluated the effect of terminal cleaning on SARS-CoV-2 RNA contamination of COVID-19 isolation rooms in an acute care hospital. SARS-CoV-2 RNA was detected on 32.1% of room surfaces after cleaning; the odds of contamination increased with month. The prevalence of elevated high-touch surface contamination was lower in terminally cleaned rooms than patient-occupied rooms.
Asunto(s)
COVID-19 , Desinfección , COVID-19/prevención & control , Hospitales , Humanos , Habitaciones de Pacientes , ARN Viral/genética , SARS-CoV-2RESUMEN
BACKGROUND: The spatial and temporal extent of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) environmental contamination has not been precisely defined. We sought to elucidate contamination of different surface types and how contamination changes over time. METHODS: We sampled surfaces longitudinally within COVID-19 patient rooms, performed quantitative RT-PCR for the detection of SARS-CoV-2 RNA, and modeled distance, time, and severity of illness on the probability of detecting SARS-CoV-2 using a mixed-effects binomial model. RESULTS: The probability of detecting SARS-CoV-2 RNA in a patient room did not vary with distance. However, we found that surface type predicted probability of detection, with floors and high-touch surfaces having the highest probability of detection: floors (odds ratio [OR], 67.8; 95% credible interval [CrI], 36.3-131) and high-touch elevated surfaces (OR, 7.39; 95% CrI, 4.31-13.1). Increased surface contamination was observed in room where patients required high-flow oxygen, positive airway pressure, or mechanical ventilation (OR, 1.6; 95% CrI, 1.03-2.53). The probability of elevated surface contamination decayed with prolonged hospitalization, but the probability of floor detection increased with the duration of the local pandemic wave. CONCLUSIONS: Distance from a patient's bed did not predict SARS-CoV-2 RNA deposition in patient rooms, but surface type, severity of illness, and time from local pandemic wave predicted surface deposition.
Asunto(s)
COVID-19 , SARS-CoV-2 , Humanos , COVID-19/diagnóstico , COVID-19/epidemiología , ARN Viral , Pandemias , Atención a la SaludRESUMEN
BACKGROUND: Ventilator-associated lower respiratory tract infection (VA-LRTI) is common among critically ill patients and has been associated with increased morbidity and mortality. In acute critical illness, respiratory microbiome disruption indices (MDIs) have been shown to predict risk for VA-LRTI, but their utility beyond the first days of critical illness is unknown. We sought to characterize how MDIs previously shown to predict VA-LRTI at initiation of mechanical ventilation change with prolonged mechanical ventilation, and if they remain associated with VA-LRTI risk. METHODS: We developed a cohort of 83 subjects admitted to a long-term acute care hospital due to their prolonged dependence on mechanical ventilation; performed dense, longitudinal sampling of the lower respiratory tract, collecting 1066 specimens; and characterized the lower respiratory microbiome by 16S rRNA sequencing as well as total bacterial abundance by 16S rRNA quantitative polymerase chain reaction. RESULTS: Cross-sectional MDIs, including low Shannon diversity and high total bacterial abundance, were associated with risk for VA-LRTI, but associations had wide posterior credible intervals. Persistent lower respiratory microbiome disruption showed a more robust association with VA-LRTI risk, with each day of (base e) Shannon diversityâ <2.0 associated with a VA-LRTI odds ratio of 1.36 (95% credible interval, 1.10-1.72). The observed association was consistent across multiple clinical definitions of VA-LRTI. CONCLUSIONS: Cross-sectional MDIs have limited ability to discriminate VA-LRTI risk during prolonged mechanical ventilation, but persistent lower respiratory tract microbiome disruption, best characterized by consecutive days with low Shannon diversity, may identify a population at high risk for infection and may help target infection-prevention interventions.
Asunto(s)
Microbiota , Neumonía Asociada al Ventilador , Infecciones del Sistema Respiratorio , Enfermedad Crítica , Estudios Transversales , Humanos , Microbiota/genética , Neumonía Asociada al Ventilador/microbiología , ARN Ribosómico 16S/genética , Sistema Respiratorio , Infecciones del Sistema Respiratorio/microbiología , Ventiladores MecánicosRESUMEN
BACKGROUND: We evaluated the differential impact of levofloxacin administered for the prophylaxis of bloodstream infections compared with broad-spectrum beta-lactam (BSBL) antibiotics used for the treatment of neutropenic fever on the gut microbiome in patients with hematologic malignancy. METHODS: Stool specimens were collected from patients admitted for chemotherapy or stem cell transplant in the setting of the evaluation of diarrhea from February 2017 until November 2017. Microbiome characteristics were compared among those exposed to levofloxacin prophylaxis vs those who received BSBL antibiotics. RESULTS: Sixty patients were included, most with acute myeloid leukemia (42%) or multiple myeloma (37%). The gut microbiome of patients with BSBL exposure had significantly reduced Shannon's alpha diversity compared with those without (median [interquartile range {IQR}], 3.28 [1.73 to 3.71] vs 3.73 [3.14 to 4.31]; P = .01). However, those with levofloxacin exposure had increased alpha diversity compared with those without (median [IQR], 3.83 [3.32 to 4.36] vs 3.32 [2.35 to 4.02]; P = .03). Levofloxacin exposure was also associated with a trend toward lower risk of dominance of non-Bacteroidetes genera compared with those without levofloxacin exposure (3 [14%] vs 15 [38%]; P = .051). CONCLUSIONS: The impact of antibiotics on the gut microbiome varies by class, and levofloxacin may disrupt the gut microbiome less than BSBLs in this patient population.