Exploring the risk "time interval window" of sequential medication of Reduning injection (RDN) and penicillin G injection (PG) by detecting the correlation between serum biochemical indexes and plasma metabonomic characteristics, in order to reduce the risk of adverse reactions caused by the combination of RDN and PG. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). The changes of biochemical indexes in serum of rats were detected by enzyme-linked immunosorbent assay. It was determined that RDN combined with PG could cause pseudo-allergic reactions (PARs) activated by complement pathway. Further investigation was carried out at different time intervals (1.5, 2, 3.5, 4, 6, and 8 h PG+RDN). It was found that sequential administration within 3.5 h could cause significant PARs. However, PARs were significantly reduced after administration interval of more than 4 h. LC-MS was used for plasma metabolomics analysis, and the levels of serum biochemical indicators and plasma metabolic profile characteristics were compared in parallel. 22 differential metabolites showed similar or opposite trends to biochemical indicators before and after 3.5 h. And enriched to 10 PARs-related pathways such as arachidonic acid metabolism, steroid hormone biosynthesis, linoleic acid metabolism, glycerophospholipid metabolism, and tryptophan metabolism. In conclusion, there is a risk "time interval window" phenomenon in the adverse drug reactions caused by the sequential use of RDN and PG, and the interval medication after the "time interval window" can significantly reduce the risk of adverse reactions.

PI3Kγ and PI3Kδ have important regulatory roles in the immune system, and targeting these two subtypes helps to reshape the tumor microenvironment. PI3Kγ and PI3Kδ are potential targets for tumor immunotherapy. In this study, a series of new pyrazolopyrimidine derivatives were designed and synthesized on the basis of our previously reported PI3K inhibitors, resulting in the discovery of compound 16l as a potent and selective PI3Kγ/δ dual inhibitor. Compound 16l demonstrated strong biochemical potencies against PI3Kγ and PI3Kδ with IC₅₀ values of 0.11 and 0.79 nmol·L^-1. In cell-based assays, it potently inhibited the PI3Kγ and PI3Kδ mediated Akt S473 phosphorylation with EC₅₀ values of 3 and 7 nmol·L^-1. In vivo, compound 16l exhibited acceptable pharmacokinetic properties in Sprague-Dawley (SD) rats and suppressed the tumor growth in a MC38 syngeneic mouse model. The animal experiments were approved by the Animal Ethics Committee of Hefei Institutes of Physical Science, Chinese Academy of Sciences (approval number: DWLL-2000-06). In addition, no appreciable human ether-a-go-go-related gene (hERG) inhibition was observed for compound 16l even at 30 μmol·L^-1. These results suggested that compound 16l might be a potential research tool for studying the PI3Kγ/δ mediated signaling pathways.

[Objective] To investigate the functional differences and potential effects of chromatin spatial structure in patients with normal karyotype and complex karyotype multiple myeloma. [Methods] High-throughput chromosome conformational capture (Hi-C) analysis was performed on plasma cells of 1 case with 1q21 complex karyotype and 1 case with normal karyotype multiple myeloma, and the differences in three-dimensional genome structure between the two patients were analyzed, and the transcriptome characteristics of plasma cells were combined to investigate the differential features through gene functional enrichment. [Results] A/B switch occurred in 36% of the chromatin compartments in two cases, and 1 041 genes in patient with complex karyotype had B/A switch. About 3 500 topological association domains (TADs) were identified in each sample, and there was no significant difference. The number of loops identified in complex karyotype sample was 1 069, which was 1/6 of the normal sample, and there were significant differences in the number of three different types of loops, which to some extent reflected the loss of genome stability. Transcriptome analysis showed significant differences in expression profiles between the two patients, and a total of 6 150 differentially expressed genes (3 303 up-regulated genes and 2 847 down-regulated genes) were identified. [Conclusion] Compared with patient with normal karyotype, patient with 1q21 complex karyotype multiple myeloma exhibit significant changes in the spatial structure of plasma cell chromatin at different levels, which leads to changes in gene expression and activation of pathways related to cancer progression.

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Corona virus disease 2019(COVID-19)epidemic has been effectively controlled,but its related complications still cannot be ignored,especially the cardiovascular circulatory system is the active site of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).Angiotensin-converting enzyme 2(ACE2)is a type Ⅰ transmembrane glycoprotein that is highly expressed in heart,kidney and testis.Spike protein of SARS-CoV-2 invades host cells by binding to the cell surface receptor ACE2.However,there are still many deficiencies in the clinical application of vaccines and drugs developed based on this target.As a molecular chaperone,cyclophilin A(CypA)promotes protein folding and T cell activation.CD147 is one of the most widely studied CypA receptors,and the interaction of CypA/CD147 plays an important role in the entry of SARS-CoV-2 into host cells.However,there are few reports on the invasion of SARS-CoV-2 into the cardiovascular system through the CypA/CD147 signaling pathway.Based on this,this article summarizes the previous research evidence and the research basis of the research group,and reviews the structure and function of CypA/CD147,the role of CypA/CD147 in cardiovascular disease,and the cardiovascular disease caused by SARS-CoV-2 targeting CypA/CD147 signal pathway,in order to provide reference for the diagnosis and treatment of the COVID-19 complicated with cardiovascular system diseases.

Bacterial biofilms gave rise to persistent infections and multi-organ failure, thereby posing a serious threat to human health. Biofilms were formed by cross-linking of hydrophobic extracellular polymeric substances (EPS), such as proteins, polysaccharides, and eDNA, which were synthesized by bacteria themselves after adhesion and colonization on biological surfaces. They had the characteristics of dense structure, high adhesiveness and low drug permeability, and had been found in many human organs or tissues, such as the brain, heart, liver, spleen, lungs, kidneys, gastrointestinal tract, and skeleton. By releasing pro-inflammatory bacterial metabolites including endotoxins, exotoxins and interleukin, biofilms stimulated the body’s immune system to secrete inflammatory factors. These factors triggered local inflammation and chronic infections. Those were the key reason for the failure of traditional clinical drug therapy for infectious diseases.In order to cope with the increasingly severe drug-resistant infections, it was urgent to develop new therapeutic strategies for bacterial-biofilm eradication and anti-bacterial infections. Based on the nanoscale structure and biocompatible activity, nanobiomaterials had the advantages of specific targeting, intelligent delivery, high drug loading and low toxicity, which could realize efficient intervention and precise treatment of drug-resistant bacterial biofilms. This paper highlighted multiple strategies of biofilms eradication based on nanobiomaterials. For example, nanobiomaterials combined with EPS degrading enzymes could be used for targeted hydrolysis of bacterial biofilms, and effectively increased the drug enrichment within biofilms. By loading quorum sensing inhibitors, nanotechnology was also an effective strategy for eradicating bacterial biofilms and recovering the infectious symptoms. Nanobiomaterials could intervene the bacterial metabolism and break the bacterial survival homeostasis by blocking the uptake of nutrients. Moreover, energy-driven micro-nano robotics had shown excellent performance in active delivery and biofilm eradication. Micro-nano robots could penetrate physiological barriers by exogenous or endogenous driving modes such as by biological or chemical methods, ultrasound, and magnetic field, and deliver drugs to the infection sites accurately. Achieving this using conventional drugs was difficult. Overall, the paper described the biological properties and drug-resistant molecular mechanisms of bacterial biofilms, and highlighted therapeutic strategies from different perspectives by nanobiomaterials, such as dispersing bacterial mature biofilms, blocking quorum sensing, inhibiting bacterial metabolism, and energy driving penetration. In addition, we presented the key challenges still faced by nanobiomaterials in combating bacterial biofilm infections. Firstly, the dense structure of EPS caused biofilms spatial heterogeneity and metabolic heterogeneity, which created exacting requirements for the design, construction and preparation process of nanobiomaterials. Secondly, biofilm disruption carried the risk of spread and infection the pathogenic bacteria, which might lead to other infections. Finally, we emphasized the role of nanobiomaterials in the development trends and translational prospects in biofilm treatment.

Objective To investigate the relationship between triglyceride-gluscose(TyG)index in early pregnancy and the delivery of small for gestational age infant(SGA)in patients with gestational diabetes mellitus(GDM).Methods A total of 1 532 pregnant women from Shanghai Fifth People's Hospital and the Second People's Hospital of Kashgar Region,who were enrolled in the study between Jan 2018 and Jun 2023 and met the inclusion criteria,were categorized into the group with GDM(754 cases)and the group without GDM(778 cases)based on the results of the oral glucose tolerance test(OGTT)conducted at 24-28 weeks of pregnancy.Within the GDM group,patients were further categorized into 3 groups based on neonatal weight:SGA group,large for gestational age infant(LGA)group,and appropriate for gestational age infant(AGA)group.A Logistic regression model was used to analyze the independent influences on SGA delivery in patients with GDM to analyze the correlation between the TyG index and the occurrence of SGA.The predictive value of the TyG index in early pregnancy for SGA delivery in GDM patients was analyzed using ROC curves.Results The TyG index in the SGA group of GDM patients was significantly lower than that in the LGA,AGA and control without GDM group(P＜0.05).Multifactorial logistic regression analysis revealed that the TyG index was independently correlated with the SGA in GDM patients(P＜0.05).The ROC curve analysis demonstrated a good predictive value of the TyG index in early gestation for SGA delivery in GDM patients(AUC=0.821,95%CI:0.763-0.879,P＜0.001).Conclusion The TyG index in early pregnancy among GDM patients is independently correlated with the occurrence of SGA infants and has a good predictive value for SGA delivery in GDM patients.