ABSTRACT: A retrospective study about the SARS-CoV-2 variants in Sicily (Italy) during the second and third waves of contagions (September 2020 - March 2021)
Project description:After the initial COVID-19 wave, India experienced a second COVID-19 wave in March 2021, which was driven by the delta variant. By January 2021, India has also begun its vaccine campaign. Therefore, semen samples from recovered patients who were infected during the two waves of COVID-19 in India were obtained to study the impact of variants on the male reproductive system. We compared samples from the second wave with those of first wave in India. We also included control samples to the comparison.
2024-01-26 | PXD041904 | Pride
Project description:Changing predominant SARS-CoV-2 lineages drive successive COVID-19 waves in Malaysia, February 2020 to March 2021
Project description:Between January 2021 and September 2021, a total of 5 pairs of adjacent normal tissues and CRC tumor tissues were collected at Suzhou Municipal Hospital. Written informed consent was secured from all participating patients prior to the commencement of the study. The study protocol, including all experiments, was reviewed and approved by the Ethics Committee of Suzhou Municipal Hospital.
Project description:A multicenter Italian retrospective study on COVID-19 pandemic condition and advanced Gastro - Intestinal Cancer.
Are in Italy increased the new diagnosis of GI cancer in advanced stage in the 2020 compared with 2019, as a consequence of COVID-19?
Project description:Buds were collected at equivalent branch positions and always at the same time of the day. Samples corresponding to May (MAY), June (JUN), July (JUL), September (SEP), November (NOV), January (JAN), March (MAR) and April (APR) buds were analyzed. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Jose Diaz-Riquelme. The equivalent experiment is VV36 at PLEXdb.]
Project description:The objective of this study was to characterise the changes in the exosomal miRNA concentrations circulating in the maternal plasma between mothers delivering term and preterm neonates, across gestation using a longitudinal study design. A retrospective stratified study design was used to characterize the miRNA content in exosomes present in maternal plasma of term (n=20 per time point) and preterm birth (PTB) (n=10 per time point) across gestation (i.e. first, second and third trimester).
Project description:Background - The coronavirus disease 2019 (COVID-19) is rapidly spreading in China and more than 30 countries over last two months. COVID-19 has multiple characteristics distinct from other infectious diseases, including high infectivity during incubation, time delay between real dynamics and daily observed number of confirmed cases, and the intervention effects of implemented quarantine and control measures. Methods - We develop a Susceptible, Un-quanrantined infected, Quarantined infected, Confirmed infected (SUQC) model to characterize the dynamics of COVID-19 and explicitly parameterize the intervention effects of control measures, which is more suitable for analysis than other existing epidemic models. Results - The SUQC model is applied to the daily released data of the confirmed infections to analyze the outbreak of COVID-19 in Wuhan, Hubei (excluding Wuhan), China (excluding Hubei) and four first-tier cities of China. We found that, before January 30, 2020, all these regions except Beijing had a reproductive number R > 1, and after January 30, all regions had a reproductive number R lesser than 1, indicating that the quarantine and control measures are effective in preventing the spread of COVID-19. The confirmation rate of Wuhan estimated by our model is 0.0643, substantially lower than that of Hubei excluding Wuhan (0.1914), and that of China excluding Hubei (0.2189), but it jumps to 0.3229 after February 12 when clinical evidence was adopted in new diagnosis guidelines. The number of unquarantined infected cases in Wuhan on February 12, 2020 is estimated to be 3,509 and declines to 334 on February 21, 2020. After fitting the model with data as of February 21, 2020, we predict that the end time of COVID-19 in Wuhan and Hubei is around late March, around mid March for China excluding Hubei, and before early March 2020 for the four tier-one cities. A total of 80,511 individuals are estimated to be infected in China, among which 49,510 are from Wuhan, 17,679 from Hubei (excluding Wuhan), and the rest 13,322 from other regions of China (excluding Hubei). Note that the estimates are from a deterministic ODE model and should be interpreted with some uncertainty. Conclusions - We suggest that rigorous quarantine and control measures should be kept before early March in Beijing, Shanghai, Guangzhou and Shenzhen, and before late March in Hubei. The model can also be useful to predict the trend of epidemic and provide quantitative guide for other countries at high risk of outbreak, such as South Korea, Japan, Italy and Iran.
Project description:Recent improvements in the analysis ancient biomolecules from human remains and associated dental calculus have provided new insights into the prehistoric diet and past genetic diversity of our species. Here we present a “multi-omics” study, integrating genomic and proteomic analyses of two post-Last Glacial Maximum (LGM) individuals from San Teodoro cave (Italy), to reconstruct their lifestyle and the post-LGM resettlement of Europe. Our analyses show genetic homogeneity in Sicily during the Palaeolithic, representing a hitherto unknown Italian genetic lineage within the previously identified “Villabruna cluster”. We argue that this lineage took refuge in Italy during the LGM, followed by a subsequent spread to central-western Europe. Analyses of dental calculus using genomics and proteomics showed a similar oral microbiome composition as Neandertals, but distinct from later foragers and farmers, revealing also a diet based on mammals, fish and plants. Our results demonstrate the power of using a multi-omics approach in the study of prehistoric human populations.