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Background: This study aimed to investigate the effect of ulinastatin on myocardial protection in children with severe pneumonia. Methods: In this retrospective study, children with severe pneumonia were divided into two groups based on their treatment methods. The control group (n=39) received anti-infection therapy, while the experimental group (n=43) received anti-infection therapy combined with ulinastatin. The clinical treatment efficacy, levels of peripheral inflammatory factors, T lymphocyte subsets, QT dispersion and adverse reactions of the two groups were observed and compared before and after treatment. Results: The clinical efficacy was improved after intervention (P

Additional file 1: Figure S1 The institutional cooperation map created with Citespace. Figure S2 The overlay visualization map of institution co-authorship analysis generated by VOSviewer. Table S1 The options and settings of VOSviewer for AI-based tumor pathology study. Table S2 The top 20 commonly investigated cancers/tumors in the field of AI-based tumor pathology based on the frequency of author keywords co-occurrence.

We report the optimisation of a series of novel amide-piperidine (piperazine) derivatives using the multiple ligand approach with dopamine and serotonin receptors. Of the derivatives, compound 11 exhibited high affinity for the D2, 5-HT1A, and 5-HT2A receptors, but low affinity for the 5-HT2C and histamine H1 receptors and human ether-a-go-go-related gene (hERG) channels. In vivo, compound 11 reduced apomorphine-induced climbing, MK-801-induced hyperactivity and DOI-induced head twitching without observable catalepsy, even at the highest dose tested. In addition, it exhibited suppression in a CAR test. Furthermore, in a novel object recognition task, it displayed procognition properties. Therefore, compound 11 is a promising candidate multi-target antipsychotic.

Jintao Hu,1,* Huachun Yin,1,2,* Bo Li,2 Hui Yang1 1Department of Neurosurgery, Xinqiao Hospital, The Army Medical University, Chongqing, People’s Republic of China; 2College of Life Sciences, Chongqing Normal University, Chongqing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Bo Li; Hui Yang Email libcell@cqnu.edu.cn; huiyangxinqiao@163.com Background: Pituitary adenoma (PA) is a prevalent intracranial tumor. Metabolites differ between pituitary tumor and healthy tissues or among different tumor subtypes. However, the transcriptional changes in metabolic enzymes, which are usually seemed as targets for metabolic therapy, remain unidentified.Methods: Using microarray data for 160 samples from the Gene Expression Omnibus database, across the four most common tumor subtypes, we present the integrated identification of differentially expressed genes (DEGs) between tumors and controls.Results: Subtype-specific DEGs revealed 1081 prolactin tumor-specific DEGs, 437 nonfunctioning tumor-specific DEGs, and 217 common DEGs among the four subtypes. Functional enrichment showed that a lot of biological functions related to metabolism had changed. Twenty-one prolactin and twenty-three nonfunctioning tumor-specific metabolic-related DEGs are mainly involved in fatty acid and nucleotide metabolism, redox reaction, and gluconeogenesis. Eighteen metabolic-related DEGs enriched in the metabolism of xenobiotics by the cytochrome P450 pathway, sulfur metabolism, retinoid metabolism, and glucose homeostasis were abnormal in all subtypes of PA.Conclusion: Based on a comprehensive bioinformatics analysis of the available PA-related transcriptomics data, we identified specific DEGs related to metabolism, and some of them might be new attractive therapeutic targets. Especially, PDK4 and PCK1 might be new attractive biomarkers and therapeutic targets.Keywords: pituitary adenoma, differentially expressed genes, metabolic dysregulation, microarray data, metabolism pathway