12 research outputs found

    Prevalence of SARS-CoV-2 positivity in infants with bronchiolitis: a multicentre international study

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    Background Bronchiolitis is the leading acute respiratory tract infection in infants during the winter season. Since the beginning of the SARS-CoV-2 pandemic, a reduction in the number of bronchiolitis diagnoses has been registered. Objective The present study aimed to describe the incidence and clinical features of bronchiolitis during the 2020-2021 winter season in a large cohort of children in Europe and Israel, and to clarify the role of SARS-CoV-2. Setting, patients, interventions We conducted a multicentre observational cross-sectional study in 23 paediatric emergency departments in Europe and Israel. Clinical and demographic data about all the cases of infants diagnosed with bronchiolitis from 1 October 2020 to 30 April 2021 were collected. For each enrolled patient, diagnostic tests, treatments and outcomes were reported. Main outcome measures The main outcome was the prevalence of SARS-CoV-2-positive bronchiolitis. Results Three hundred and fourteen infants received a diagnosis of bronchiolitis during the study period. Among 535 infants who tested positive for SARS-CoV-2, 16 (3%) had bronchiolitis. Median age, male sex predominance, weight, history of prematurity and presence of comorbidities did not differ between the SARS-CoV-2-positive and SARS-CoV-2-negative groups. Rhinovirus was the most common involved pathogen, while respiratory syncytial virus (RSV) was detected in one case. SARS-CoV-2 bronchiolitis had a mild clinical course, with one patient receiving oxygen supplementation and none requiring paediatric or neonatal intensive care unit admission. Conclusions During the SARS-CoV-2 pandemic, a marked decrease in the number of bronchiolitis diagnoses and the disappearance of the RSV winter epidemic were observed. SARS-CoV-2-related bronchiolitis was rare and mostly displayed a mild clinical course.During the SARS-CoV-2 pandemic, very few infants with SARS-CoV-2 had bronchiolitis and mostly displayed a mild clinical course. Overall there was a marked decrease in bronchiolitis cases, indeed the RSV winter epidemic did not occur

    Data from: Failure to reproduce period-dependent song cycles in Drosophila is due to poor automated pulse-detection and low-intensity courtship

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    Stern has criticized a body of work from several groups that have independently studied the so-called “Kyriacou and Hall” courtship song rhythms of male Drosophila melanogaster, claiming that these ultradian ∌60-s cycles in the interpulse interval (IPI) are statistical artifacts that are not modulated by mutations at the period (per) locus [Stern DL (2014) BMC Biol 12:38]. We have scrutinized Stern’s raw data and observe that his automated song pulse-detection method identifies only ∌50% of the IPIs found by manual (visual and acoustic) monitoring. This critical error is further compounded by Stern’s use of recordings with very little song, the large majority of which do not meet the minimal song intensity criteria which Kyriacou and Hall used in their studies. Consequently most of Stern’s recordings only contribute noise to the analyses. Of the data presented by Stern, only perL and a small fraction of wild-type males sing vigorously, so we limited our reanalyses to these genotypes. We manually reexamined Stern’s raw song recordings and analyzed IPI rhythms using several independent time-series analyses. We observe that perL songs show significantly longer song periods than wild-type songs, with values for both genotypes close to those found in previous studies. These per-dependent differences disappear when the song data are randomized. We conclude that Stern’s negative findings are artifacts of his inadequate pulse-detection methodology coupled to his use of low-intensity courtship song records

    Data from: NF-ÎșB oscillations translate into functionally related patterns of gene expression

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    Several transcription factors (TFs) oscillate, periodically relocating between the cytoplasm and the nucleus. NF-ÎșB, which plays key roles in inflammation and cancer, displays oscillations whose biological advantage remains unclear. Recent work indicated that NF-ÎșB displays sustained oscillations that can be entrained, that is, reach a persistent synchronized state through small periodic perturbations. We show here that for our GFP-p65 knock-in cells NF-ÎșB behaves as a damped oscillator able to synchronize to a variety of periodic external perturbations with no memory. We imposed synchronous dynamics to prove that transcription of NF-ÎșB-controlled genes also oscillates, but mature transcript levels follow three distinct patterns. Two sets of transcripts accumulate fast or slowly, respectively. Another set, comprising chemokine and chemokine receptor mRNAs, oscillates and resets at each new stimulus, with no memory of the past. We propose that TF oscillatory dynamics is a means of segmenting time to provide renewing opportunity windows for decision

    TullyCS

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    Manual analysis of CSTully songs from Arthur et al 201

    Microarray data; chronic and pulsed stimulations of TNFalpha

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    GFP-p65 MEFs were either chronically or periodically stimulated (90' and 180' forcing periods) with TNF-alpha. RNA samples were extracted at selected timepoints using the Illustra RNAspin Mini kit (GE Healthcare). Following extraction, RIN (RNA Integrity Number) was >9 (BioAnalyser, Agilent RNA Nano Kit). RNA samples (500 ng) were reverse transcribed with the Illumina TotalPrep RNA Amplification Kit (Ambion) and copy RNA (cRNA) was generated with 14 hour in vitro transcription reactions and checked at the BioAnalyser. Washing, staining, and hybridization were performed according to standard Illumina protocols. cRNA samples were then hybridized to Illumina BeadChip Array MouseRefSeq-8 v2. BeadChips were scanned with BeadArrayℱ Reader in channel 2. The .zip file contains the following files: Quality control files: "Zambrano_90MIN_ControlProbe.csv", "Zambrano_180MIN_ControlProbe.csv", "Zambrano_Chronic_ControlProbe.csv". Raw data files: "ZambranoMicroarray_90MIN.csv", "ZambranoMicroarray_180MIN.csv", "ZambranoMicroarray_Chronic.csv"
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