Etiology analysis of an acute gastroenteritis outbreak caused by co-infection with Vibrio parahaemolyticus and non-O1/O139 Vibrio cholerae

ObjectiveTo analyze an acute gastroenteritis outbreak caused by co-infection with Vibrio parahaemolyticus （V. parahaemolyticus） and non-O1/O139 Vibrio cholerae （V. cholerae）.MethodsFour anal swabs， 12 food samples， and 8 environmental samples enriched in liquid culture media were subjected to pathogen screening with real-time PCR. V. parahaemolyticus and V. cholerae strains isolated were subjected to whole genome sequencing， and virulence and antibiotic resistance genes were screened. Cladograms were constructed based on core genome single nucleotide polymorphisms.ResultsV. parahaemolyticus strains were detected in anal swab samples with real-time PCR that were toxRVP+/tdh+/trh-， and two of them were positive for V. cholerae. The positive rate of V. parahaemolyticus in the anal swab samples was 100% （4/4）， the isolates were toxRVP+/tdh+/trh-， and their serotype was O4：KUT. The positive rate of V. cholerae culture in the anal swabs of patients was 50% （2/4）. The serogroup of the isolates was non-O1/O139， and one of them was toxRVC+/ctx/t3ss+. The positive rate of V. parahaemolyticus in the food samples was 66.67% （8/12）， and that in the environment samples was 12.50% （1/8）. The strains isolated from food and environmental samples were toxRVP+/tdh-/trh-. The positive rate of V. cholerae culture in the food samples was 25.00% （3/12） and the isolated strains were toxRVC+/ctx/t3ss-. The V. parahaemolyticus strains isolated from patient， food， and environment samples formed 10 distinct lineages. The four patient isolates were highly clonal. The V. cholerae strains isolated from two patients and three food samples formed five distinct lineages.ConclusionThe outbreak was caused by co-infection with V. parahaemolyticus and non-O1/O139 V. cholerae. Real-time PCR and whole-genome sequence analysis of strains should be performed in the detection and analysis of outbreaks caused by vibrio co-infection. Additionally， optimization of vibrio culture pathways is recommended

Improving image quality and in-stent restenosis diagnosis with high-resolution “double-low” coronary CT angiography in patients after percutaneous coronary intervention

ObjectiveThis study aims to investigate the image quality of a high-resolution, low-dose coronary CT angiography (CCTA) with deep learning image reconstruction (DLIR) and second-generation motion correction algorithms, namely, SnapShot Freeze 2 (SSF2) algorithm, and its diagnostic accuracy for in-stent restenosis (ISR) in patients after percutaneous coronary intervention (PCI), in comparison with standard-dose CCTA with high-definition mode reconstructed by adaptive statistical iterative reconstruction Veo algorithm (ASIR-V) and the first-generation motion correction algorithm, namely, SnapShot Freeze 1 (SSF1).MethodsPatients after PCI and suspected of having ISR scheduled for high-resolution CCTA (randomly for 100 kVp low-dose CCTA or 120 kVp standard-dose) and invasive coronary angiography (ICA) were prospectively enrolled in this study. After the basic information pairing, a total of 105 patients were divided into the LD group (60 patients underwent 100 kVp low-dose CCTA reconstructed with DLIR and SSF2) and the SD group (45 patients underwent 120 kVp standard-dose CCTA reconstructed with ASIR-V and SSF1). Radiation and contrast medium doses, objective image quality including CT value, image noise (standard deviation), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) for the aorta, left main artery (LMA), left ascending artery (LAD), left circumflex artery (LCX), and right coronary artery (RCA) of the two groups were compared. A five-point scoring system was used for the overall image quality and stent appearance evaluation. Binary ISR was defined as an in-stent neointimal proliferation with diameter stenosis ≥50% to assess the diagnostic performance between the LD group and SD group with ICA as the standard reference.ResultsThe LD group achieved better objective and subjective image quality than that of the SD group even with 39.1% radiation dose reduction and 28.0% contrast media reduction. The LD group improved the diagnostic accuracy for coronary ISR to 94.2% from the 83.8% of the SD group on the stent level and decreased the ratio of false-positive cases by 19.2%.ConclusionCompared with standard-dose CCTA with ASIR-V and SSF1, the high-resolution, low-dose CCTA with DLIR and SSF2 reconstruction algorithms further improves the image quality and diagnostic performance for coronary ISR at 39.1% radiation dose reduction and 28.0% contrast dose reduction

Additional file 1 of Signatures of necroptosis-related genes as diagnostic markers of endometriosis and their correlation with immune infiltration

Additional file 1: Table S1. List of necroptosis-related genes

Estimation of Energy Value and Digestibility and Prediction Equations for Sheep Fed with Diets Containing <i>Leymus chinensis</i> Hay

The objective of this study was to investigate the feeding value of sheepgrass, including its chemical composition, dry matter intake, nutrient digestibility, and available energy, as well as the prediction equations of dry matter intake (DMI), neutral detergent fiber digestibility (NDFD), dry matter digestibility (DMD), digestible energy (DE), and metabolizable energy (ME). Two independent experiments based on a completely randomized experimental design were performed to evaluate the feeding value. The results showed that there were significant relationships between chemical composition and DMI, digestibility, and available energy. The best-fit equations were as follows: DMI (g/d·W0.75) = 121.75 + 0.06CP (%) − 0.24EE (%) − 0.10ADF (%) − 0.60NDF (%) − 0.15OM (%) (R2 = 0.85, p 2 = 0.83, p 2 = 0.67, p 2 = 0.91, p 2 = 0.98, p < 0.01). This study found the energy value of sheepgrass to be 11 MJ/kg, which is similar to that of millet grass silage. The NDF was the main component that affected DMI and digestibility. Using a hay replacement ratio of 28.5% to determine the forage value of sheepgrass allowed accurate prediction equations to be established. The NDF demonstrated the strongest correlation with DMI, NDFD, OMD, DE, and ME. DE was estimated to be the best single predictor of ME

Abstracts of the 9th PKU Graduates Student Forum on Ageing and Health

This book presents the abstracts of the selected contributions to the 9th PKU Graduates Student Forum on Ageing and Health (PKUGSFA 2024), held on 3-4 July 2024, by the Institute of Ageing Studies, Peking University, China. The forum provided a platform for young scholars to present their research on topics such as the development of health services for older adults, social security systems, community-based health interventions, ageing-friendly environments, and geron-technology. Conference Title: 9th PKU Graduates Student Forum on Ageing and HealthConference Acronym: PKUGSFA 2024Conference Date: 3-4 July 2024Conference Venue: Beijing, ChinaConference Organizer: Institute of Ageing Studies, Peking University, Chin