In Vivo Comparison of Two Human Norovirus Surrogates for Testing Ethanol-Based Handrubs: The Mouse Chasing the Cat!

Human noroviruses (HuNoV), a major cause of acute gastroenteritis worldwide, cannot be readily cultured in the lab. Therefore, a feline calicivirus (FCV) is often used as its surrogate to, among other things, test alcohol-based handrubs (ABHR). The more recent laboratory culture of a mouse norovirus (MNV) provides an alternative. While MNV is closer to HuNoV in several respects, to date, no comparative testing of FCV and MNV survival and inactivation on human hands has been performed. This study was designed to address the knowledge gap. The rates of loss in viability during drying on hands were −1.91 and −1.65% per minute for FCV and MNV, respectively. When the contaminated skin was exposed for 20 s to either a commercial ABHR with 62% (v/v) ethanol or to 75% (v/v) ethanol in water, FCV infectivity was reduced by <1 log10 while that of MNV by nearly 2.8 log10. Extending the contact time to 30 s reduced the FCV titer by almost 2 log10 by both test substances and that of MNV by >3.5 log10 by the commercial ABHR while 75% ethanol did not show any noticeable improvement in activity as compared to the 20 s contact. An 80% (v/v) aqueous solution of ethanol gave only a 1.75 log10 reduction in MNV activity after 20 s. The results show significant differences in the ethanol susceptibility of FCV and MNV in contact times relevant to field use of ABHR and also that 62% ethanol was a more effective virucide than either 75% or 80% ethanol. These findings indicate the need for a review of the continuing use of FCV as a surrogate for HuNoV

Genomic Binding Profiling of the Fission Yeast Stress-Activated MAPK Sty1 and the bZIP Transcriptional Activator Atf1 in Response to H2O2

10.1371/journal.pone.0011620PLoS ONE57

MicroRNA expression profiles during cotton (Gossypium hirsutum L) fiber early development

The role of microRNAs (miRNAs) during cotton fiber development remains unclear. Here, a total of 54 miRNAs belonging to 39 families were selected to characterize miRNA regulatory mechanism in eight different fiber development stages in upland cotton cv BM-1. Among 54 miRNAs, 18 miRNAs were involved in cotton fiber initiation and eight miRNAs were related to fiber elongation and secondary wall biosynthesis. Additionally, 3,576 protein-coding genes were candidate target genes of these miRNAs, which are potentially involved in cotton fiber development. We also investigated the regulatory network of miRNAs and corresponding targets in fiber initiation and elongation, and secondary wall formation. Our Gene Ontology-based term classification and KEGG-based pathway enrichment analyses showed that the miRNA targets covered 220 biological processes, 67 molecular functions, 45 cellular components, and 10 KEGG pathways. Three of ten KEGG pathways were involved in lignan synthesis, cell elongation, and fatty acid biosynthesis, all of which have important roles in fiber development. Overall, our study shows the potential regulatory roles of miRNAs in cotton fiber development and the importance of miRNAs in regulating different cell types. This is helpful to design miRNA-based biotechnology for improving fiber quality and yield

Coupled transcriptome and proteome analysis of human lymphotropic tumor viruses: insights on the detection and discovery of viral genes

<p>Abstract</p> <p>Background</p> <p>Kaposi's sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV) are related human tumor viruses that cause primary effusion lymphomas (PEL) and Burkitt's lymphomas (BL), respectively. Viral genes expressed in naturally-infected cancer cells contribute to disease pathogenesis; knowing which viral genes are expressed is critical in understanding how these viruses cause cancer. To evaluate the expression of viral genes, we used high-resolution separation and mass spectrometry coupled with custom tiling arrays to align the viral proteomes and transcriptomes of three PEL and two BL cell lines under latent and lytic culture conditions.</p> <p>Results</p> <p>The majority of viral genes were efficiently detected at the transcript and/or protein level on manipulating the viral life cycle. Overall the correlation of expressed viral proteins and transcripts was highly complementary in both validating and providing orthogonal data with latent/lytic viral gene expression. Our approach also identified novel viral genes in both KSHV and EBV, and extends viral genome annotation. Several previously uncharacterized genes were validated at both transcript and protein levels.</p> <p>Conclusions</p> <p>This systems biology approach coupling proteome and transcriptome measurements provides a comprehensive view of viral gene expression that could not have been attained using each methodology independently. Detection of viral proteins in combination with viral transcripts is a potentially powerful method for establishing virus-disease relationships.</p

School-based surveillance of acute infectious disease in children: a systematic review

BACKGROUND: Syndromic surveillance systems are an essential component of public health surveillance and can provide timely detection of infectious disease cases and outbreaks. Whilst surveillance systems are generally embedded within healthcare, there is increasing interest in novel data sources for monitoring trends in illness, such as over-the-counter purchases, internet-based health searches and worker absenteeism. This systematic review considers the utility of school attendance registers in the surveillance of infectious disease outbreaks and occurrences amongst children. METHODS: We searched eight databases using key words related to school absence, infectious disease and syndromic surveillance. Studies were limited to those published after 1st January 1995. Studies based in nursery schools or higher education settings were excluded. Article screening was undertaken by two independent reviewers using agreed eligibility criteria. Data extraction was performed using a standardised data extraction form. Outcomes included estimates of absenteeism, correlation with existing surveillance systems and associated lead or lag times. RESULTS: Fifteen studies met the inclusion criteria, all of which were concerned with the surveillance of influenza. The specificity of absence data varied between all-cause absence, illness absence and syndrome-specific absence. Systems differed in terms of the frequency of data submissions from schools and the level of aggregation of the data. Baseline rates of illness absence varied between 2.3–3.7%, with peak absences ranging between 4.1–9.8%. Syndrome-specific absenteeism had the strongest correlation with other surveillance systems (r = 0.92), with illness absenteeism generating mixed results and all-cause absenteeism performing the least well. A similar pattern of results emerged in terms of lead and lag times, with influenza-like illness (ILI)-specific absence providing a 1–2 week lead time, compared to lag times reported for all-cause absence data and inconsistent results for illness absence data. CONCLUSION: Syndrome-specific school absences have potential utility in the syndromic surveillance of influenza, demonstrating good correlation with healthcare surveillance data and a lead time of 1–2 weeks ahead of existing surveillance measures. Further research should consider the utility of school attendance registers for conditions other than influenza, to broaden our understanding of the potential application of this data for infectious disease surveillance in children. SYSTEMATIC REVIEW REGISTRATION: PROSPERO 2019 CRD42019119737. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06444-6

CD4+:CD8+ T-cell ratio changes in people with HIV receiving antiretroviral treatment.

BACKGROUND: Cofactors associated with persistently abnormal CD4+:CD8+ T-cell ratio in people with HIV (PWH) on antiretroviral treatment (ART) might change over time as the population of people with HIV ages or as new ART drugs become available. The main objective of our study was to determine the long-term associations of baseline factors, including the CD4+ count and ratio, with ratio normalization (≥1). In addition to this, we explored whether the ratio remained associated with the risk of both AIDS and non-AIDS events among individuals on suppressive ART. METHODS: Clinic-based study in a tertiary, University Hospital in Madrid. People with HIV starting a first-line ART regimen (Jan 2006-June 2017) were included in a prospective national multi-centre cohort (CoRIS). People with controlled HIV-infection within the first year of ART initiation and complete CD4+ and CD8+ T-cell records were selected. Cox proportional hazard (PH) regression models were used to estimate the cumulative incidence of ratio normalization and to examine associations with socio-demographic and clinical variables. To investigate factors independently associated with the development of AIDS and non-AIDS events we used a time updated Poisson regression model. RESULTS: The study included 557 subjects. During follow up (median 5.24 years), 44% participants achieved a ratio of 1 within a median of 1.49 years. In a multivariate PH model, pre-ART factors negatively associated with ratio normalization were the pre-ART CD4+:CD8+ T-cell ratio and mode of HIV acquisition. For the secondary analysis, 1.3 events/100 person years of follow up were observed. After adjustment, older age, HIV RNA >200 copies/mL and CD4+:CD8+ T-cell ratios over follow-up, remained significantly associated with the development of AIDS and non-AIDS events. In contrast, pre-ART ratio was not associated with the risk of AIDS and non-AIDS events. CONCLUSIONS: In summary, our study showed that higher pre-ART CD4+:CD8+ T-cell ratio is associated with rates of ratio normalization ≥1. In addition, the risk of AIDS and non-AIDS events seems to be predicted by the time updated CD4+:CD8+ T-cell ratio not by the pre-ART CD4+:CD8+ T-cell ratio. Therefore, CD4+:CD8+ T-cell ratio should be considered as a dynamic marker for translation into clinical practice

To what extent are patients with migraine able to predict attacks?

Ana B Gago-Veiga,1 Josu&eacute; Pag&aacute;n,2,3 Kevin Henares,2,4 Patricia Heredia,1 Nuria Gonz&aacute;lez-Garc&iacute;a,5 Mar&iacute;a-Irene De Orbe,4 Jose L Ayala,3,4 M&oacute;nica Sobrado,1 Jose Vivancos1 1Headache Unit, Department of Neurology, Instituto de Investigaci&oacute;n Sanitaria Hospital, Universitario de la Princesa, Madrid, Spain; 2Department of Electronic Engineering, Universidad Polit&eacute;cnica de Madrid, Madrid, Spain; 3Center for Computational Simulation, Universidad Polit&eacute;cnica de Madrid, Madrid, Spain; 4Department of Computer and Automation Architecture, Universidad Complutense de Madrid, Madrid, Spain; 5Headache Unit, Hospital Cl&iacute;nico Universitario San Carlos, Madrid, Spain Purpose: Premonitory symptoms (PSs) of migraine are those that precede pain in a migraine attack. Previous studies suggest that treatment during this phase may prevent the onset of pain; however, this approach requires that patients be able to recognize their PSs. Our objectives were to evaluate patients&rsquo; actual ability to predict migraine attacks based on their PSs and analyze whether good predictors meet any characteristic profile. Patients and methods: This prospective, observational study included patients with migraine with and without aura. Patients&rsquo; baseline characteristics were recorded. During a 2-month follow-up period, patients used a mobile application to record what they believed to be PSs and later to record the onset of pain, if this occurred. When a migraine attack ended, patients had to complete a form on the characteristics of the episode (including the presence of PSs not identified prior to the attack). Results: Fifty patients were initially selected. A final total of 34 patients were analyzed, recording 229 attacks. Of whom, 158 (69%) were accompanied by PSs and were recorded prior to the pain onset in 63 (27.5%) cases. A total of 67.6% of the patients were able to predict at least one attack, but only 35.3% were good predictors (&gt;50% of attacks). There were only 11 cases in which a patient erroneously reported their PSs (positive predictive value: 85.1%). Good predictors were not differentiated by any specific clinical characteristic. However, a range of symptoms were particularly predictive; these included photophobia, drowsiness, yawning, increased thirst, and blurred vision. Conclusion: A large majority of patients with migraine experienced a PS and were able to predict at least one attack. Besides, only a small percentage of patients were considered as good predictors; however, they could not be characterized by any specific profile. Nonetheless, when patients with migraine believed that they were experiencing PSs, they were frequently correct. Keywords: migraine, premonitory symptoms, prediction, real-time, electronic diary, machine learnin