Notes

Comparison improvement as well as ocular histology among epigean and also subterranean salamanders (Eurycea) from main Arizona.
To analyze and screen the key genes of sepsis secondary to pulmonary infection by bioinformatics, and to provide theoretical basis for the basic research of the disease and find an ideal animal model program.

Experiment 1 (bioinformatics analysis) gene expression data sets of pulmonary infection secondary sepsis patients and multiple sepsis animal models were screened by Gene Expression Omnibus (GEO) Database, and gene differences were analyzed by R software. Differential genes were analyzed by gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Correlation analysis was conducted between differential genes and clinical symptoms in the data set of pulmonary infection secondary sepsis, and the correlation heat map between differential genes and clinical symptoms was drawn. Key genes were screened by weighted gene co-expression network analysis (WGCNA) and protein-protein interaction network analysis (PPIN) clustering. Experiment 2 (sepsis animal model preparat processes of pulmonary sepsis secondary to infection, and are potential research directions of this disease. What's more, CLP animal model can better reflect the biological characteristics of patients with pulmonary infection secondary sepsis, and is one of the ideal animal model schemes for pulmonary infection secondary sepsis.
To investigate the value of partial pressure of end-tidal carbon dioxide (P
CO
) combined with passive leg raising test (PLR) in predicting volume responsiveness in patients with septic shock.

A total of 43 patients with septic shock admitted to the second department of critical care medicine, People's Hospital of Xinjiang Uygur Autonomous Region from December 2019 to June 2021 were selected as the research subjects. P
CO
, cardiac index (CI), stroke volume variation (SVV), mean arterial pressure (MAP) and other hemodynamic indexes were monitored before and after PLR and volume stress test (VE). Subjects were grouped according to the CI variation rate (ΔCI) after VE test. Patients with ΔCI ≥ 15% were the responding group, and patients with ΔCI < 15% were the non-responding group. The receiver operator characteristic curve (ROC curve) was drawn to analyze the evaluation value of the change in P
CO
after PLR on the evaluation value of fluid responsiveness.

Among the 43 patients, 22 cases were in7%, the specificity was 89.5%, and the correct index was 0.68; the AUC for SVV baseline assessment of fluid responsiveness was 0.835, and when the cut-off value was 12.8%, the sensitivity was 84.6%, the specificity was 80.0%, and the correct index was 0.65. The predictive value of ΔP
CO
was not lower than the SVV baseline.

After the PLR test, the change of P
CO
can be used as a non-invasive, simple, safe and reliable indicator for predicting the volume responsiveness of patients with septic shock.
After the PLR test, the change of PETCO2 can be used as a non-invasive, simple, safe and reliable indicator for predicting the volume responsiveness of patients with septic shock.
To explore the relationship between the changes in the lipid profiles and the intensity of inflammatory response and disease severity in patients with sepsis, in order to find a biomarker that can quickly evaluate the condition and prognosis of sepsis.

A retrospective analysis was performed on 449 patients with sepsis admitted to department of critical care medicine of the First Affiliated Hospital of Zhengzhou University from October 2019 to May 2021, and 355 patients without sepsis hospitalized in the same period served as the control. The general demographic data, blood lipid and other clinical indicators within 24 hours after admission were collected and compared between the two groups. Bivariate correlation study was used to analyze the relationship between blood lipid levels and inflammation indicators and severity of illness in patients with sepsis. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of each blood lipid component on the 28-day mortalityive rate of microbial culture [45.58% (103/226) vs. 35.43% (79/223)], and the probability of drug-resistant bacteria [19.91% (45/226) vs. 10.31% (23/223)] in the low HDL-C group of sepsis patients were all higher than the high HDL-C group, the differences were statistically significant (all P < 0.05).

Plasma cholesterol levels, especially the HDL-C levels, can well reflect the intensity of inflammation and the severity of the disease in patients with sepsis. And the HDL-C levels can be used as a good biomarker for predicting the short-term prognosis of sepsis.
Plasma cholesterol levels, especially the HDL-C levels, can well reflect the intensity of inflammation and the severity of the disease in patients with sepsis. And the HDL-C levels can be used as a good biomarker for predicting the short-term prognosis of sepsis.
To find new biomarkers for the diagnosis and prognosis of sepsis through analyzing the differential expression protein in sepsis by proteomics and bioinformatics analysis and enzyme linked immunosorbent assay (ELISA).

Patients with sepsis admitted to the emergency department of the Affiliated Hospital of Southwest Medical University from January to December 2019 were enrolled. Neuronal Signaling antagonist And meanwhile, healthy volunteers who had normal physical examinations were included as the control group. Blood samples from two groups were collected. The samples were randomly selected for the protein concentration by data independent acquisition (DIA). Bioinformatics method was used in differentially expressed proteins by gene ontology (GO) pathway, enrichment analyses, groups meta-analysis and survival curves construction. ELISA method was used to verified marker screened. Then the data of transferrin receptor CD71 and the clinical data of procalcitonin (PCT), C-reactive protein (CRP) and blood lactic acid (Lac) were collected e level of CD71 was higher in sepsis group than normal control group (nmol/L 156.83±84.71 vs. 87.99±47.89, P < 0.05), the level of CD71 was higher in non-survivor group than survivor group (nmol/L 219.63±125.59 vs. 130.97±40.45, P < 0.05). The area under the ROC curve (AUC) of CD71 in diagnostic performance of sepsis was 0.790 (sensitivity was 65.1%, specificity was 90.0%), the AUC of CD71 in prognostic performance of sepsis was 0.744 (sensitivity was 57.1%, specificity was 94.1%); CD71 had a better prognostic performance than PCT (AUC = 0.547, sensitivity was 64.3%, specificity was 55.9%), CRP (AUC = 0.594, sensitivity was 64.3%, specificity was 61.8%), Lac (AUC = 0.540, sensitivity was 42.9%, specificity was 82.4%).

CD71 had a great value of diagnostic and prognostic performance in sepsis, and it was expected to be a potential biomarker for sepsis.
CD71 had a great value of diagnostic and prognostic performance in sepsis, and it was expected to be a potential biomarker for sepsis.Acute gastrointestinal dysfunction is a common and important complication of sepsis. As no exiting formal definition and classification of gastrointestinal dysfunction, most of the treatment strategies for gastrointestinal dysfunction are not based on clinical evidence, but on their own clinical experience. Experts of traditional Chinese medicine, integrated traditional Chinese and Western medicine and Western medicine from various disciplines in Shanghai are organized by the Shanghai Society of Integrated Traditional Chinese and Western Medicine and the Emergency Department Branch of Shanghai Physicians Association. After repeated discussion, literature search and formulation of the outline, we developed consensus on gastrointestinal dysfunction secondary to sepsis with integrating Traditional Chinese Medicine and Western medicine by consulting extensively on clinical experts in the fields of emergency medicine, gastroenterology, general surgery, infectious medicine and traditional Chinese medicine, and holding several expert forums and consultation meetings. This clinical expert consensus focused on acute gastrointestinal injury (AGI) classification and inducer of sepsis. In this consensus, the common symptoms, diagnosis, classifications, treatment strategies and suggestions of acute gastrointestinal injury or dysfunction secondary to sepsis were explored from the aspect of both Traditional Chinese Medicine and Western medicine.Lactation is a critical time in mammalian development, where maternal factors shape offspring outcomes. In this scoping review, we discuss current literature concerning maternal factors that influence lactation biology and highlight important associations between changes in milk composition and offspring outcomes. Specifically, we explore maternal nutritional, psychosocial, and environmental exposures that influence non-nutritive bioactive components in milk and their links to offspring growth, development, metabolic, and behavioral outcomes. A comprehensive literature search was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extension for Scoping Reviews (PRISMA-ScR) guidelines. Predetermined eligibility criteria were used to analyze 3,275 papers, and the final review included 40 primary research articles. Outcomes of this review identify maternal obesity to be a leading maternal factor influencing the non-nutritive bioactive composition of milk with notable links to offspring outcomes. Offspring growth and development are the most common modes of programming associated with changes in non-nutritive milk composition due to maternal factors in early life. In addition to discussing studies investigating these key associations, we also identify knowledge gaps in the current literature and suggest opportunities and considerations for future studies.In vivo transparent vessel segmentation is important to life science research. However, this task remains very challenging because of the fuzzy edges and the barely noticeable tubular characteristics of vessels under a light microscope. In this paper, we present a new machine learning method based on blood flow characteristics to segment the global vascular structure in vivo. Specifically, the videos of blood flow in transparent vessels are used as input. We use the machine learning classifier to classify the vessel pixels through the motion features extracted from moving red blood cells and achieve vessel segmentation based on a region-growing algorithm. Moreover, we utilize the moving characteristics of blood flow to distinguish between the types of vessels, including arteries, veins, and capillaries. In the experiments, we evaluate the performance of our method on videos of zebrafish embryos. The experimental results indicate the high accuracy of vessel segmentation, with an average accuracy of 97.98%, which is much more superior than other segmentation or motion-detection algorithms. Our method has good robustness when applied to input videos with various time resolutions, with a minimum of 3.125 fps.Interactions with parents are integral in shaping the development of children's emotional processes. Important aspects of these interactions are overall (mean level) affective experience and affective synchrony (linkages between parent and child affect across time). Respectively, mean-level affect and affective synchrony reflect aspects of the content and structure of dyadic interactions. Most research on parent-child affect during dyadic interactions has focused on infancy and early childhood; adolescence, however, is a key period for both normative emotional development and the emergence of emotional disorders. We examined affect in early to mid-adolescents (N = 55, Mage = 12.27) and their parents using a video-mediated recall task of 10-min conflict-topic discussions. Using multilevel modeling, we found evidence of significant level-2 effects (mean affect) and level-1 effects (affective synchrony) for parents and their adolescents. Level-2 and level-1 associations were differentially moderated by adolescent age and adolescent internalizing and externalizing symptoms.
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