Background: Nasopharyngeal carcinoma (NPC) is characterized by high programmed death-ligand 1 (PD-L1) expression and abundant infiltration of non-malignant lymphocytes, which renders patients potentially suitable candidates for immune checkpoint blockade therapies. Palate, lung, and nasal epithelium clone (PLUNC) inhibit the growth of NPC cells and enhance cellular apoptosis and differentiation. Currently, the relationship between PLUNC (as a tumor-suppressor) and PD-L1 in NPC is unclear. Methods: We collected clinical samples of NPC to verify the relationship between PLUNC and PD-L1. PLUNC plasmid was transfected into NPC cells, and the variation of PD-L1 was verified by western blot and immunofluorescence. In NPC cells, we verified the relationship of PD-L1, activating transcription factor 3 (ATF3), and β-catenin by western blot and immunofluorescence. Later, we further verified that PLUNC regulates PD-L1 through β-catenin. Finally, the effect of PLUNC on β-catenin was verified by co-immunoprecipitation (Co-IP). Results: We found that PLUNC expression was lower in NPC tissues than in paracancer tissues. PD-L1 expression was opposite to that of PLUNC. Western blot and immunofluorescence showed that β-catenin could upregulate ATF3 and PD-L1, while PLUNC could downregulate ATF3/PD-L1 by inhibiting the expression of β-catenin. PLUNC inhibits the entry of β-catenin into the nucleus. Co-IP experiments demonstrated that PLUNC inhibited the interaction of DEAD-box helicase 17 (DDX17) and β-catenin. Conclusions PLUNC downregulates the expression of PD-L1 by inhibiting the interaction of DDX17/β-catenin in NPC.

Background: Nasopharyngeal carcinoma (NPC) is characterized by high programmed death-ligand 1 (PD-L1) expression and abundant infiltration of non-malignant lymphocytes, which renders patients potentially suitable candidates for immune checkpoint blockade therapies. Palate, lung, and nasal epithelium clone (PLUNC) inhibit the growth of NPC cells and enhance cellular apoptosis and differentiation. Currently, the relationship between PLUNC (as a tumor-suppressor) and PD-L1 in NPC is unclear. Methods: We collected clinical samples of NPC to verify the relationship between PLUNC and PD-L1. PLUNC plasmid was transfected into NPC cells, and the variation of PD-L1 was verified by western blot and immunofluorescence. In NPC cells, we verified the relationship of PD-L1, activating transcription factor 3 (ATF3), and β-catenin by western blot and immunofluorescence. Later, we further verified that PLUNC regulates PD-L1 through β-catenin. Finally, the effect of PLUNC on β-catenin was verified by co-immunoprecipitation (Co-IP). Results: We found that PLUNC expression was lower in NPC tissues than in paracancer tissues. PD-L1 expression was opposite to that of PLUNC. Western blot and immunofluorescence showed that β-catenin could upregulate ATF3 and PD-L1, while PLUNC could downregulate ATF3/PD-L1 by inhibiting the expression of β-catenin. PLUNC inhibits the entry of β-catenin into the nucleus. Co-IP experiments demonstrated that PLUNC inhibited the interaction of DEAD-box helicase 17 (DDX17) and β-catenin. Conclusions PLUNC downregulates the expression of PD-L1 by inhibiting the interaction of DDX17/β-catenin in NPC.

Background: Nasopharyngeal carcinoma (NPC) is characterized by high programmed death-ligand 1 (PD-L1) expression and abundant infiltration of non-malignant lymphocytes, which renders patients potentially suitable candidates for immune checkpoint blockade therapies. Palate, lung, and nasal epithelium clone (PLUNC) inhibit the growth of NPC cells and enhance cellular apoptosis and differentiation. Currently, the relationship between PLUNC (as a tumor-suppressor) and PD-L1 in NPC is unclear. Methods: We collected clinical samples of NPC to verify the relationship between PLUNC and PD-L1. PLUNC plasmid was transfected into NPC cells, and the variation of PD-L1 was verified by western blot and immunofluorescence. In NPC cells, we verified the relationship of PD-L1, activating transcription factor 3 (ATF3), and β-catenin by western blot and immunofluorescence. Later, we further verified that PLUNC regulates PD-L1 through β-catenin. Finally, the effect of PLUNC on β-catenin was verified by co-immunoprecipitation (Co-IP). Results: We found that PLUNC expression was lower in NPC tissues than in paracancer tissues. PD-L1 expression was opposite to that of PLUNC. Western blot and immunofluorescence showed that β-catenin could upregulate ATF3 and PD-L1, while PLUNC could downregulate ATF3/PD-L1 by inhibiting the expression of β-catenin. PLUNC inhibits the entry of β-catenin into the nucleus. Co-IP experiments demonstrated that PLUNC inhibited the interaction of DEAD-box helicase 17 (DDX17) and β-catenin. Conclusions PLUNC downregulates the expression of PD-L1 by inhibiting the interaction of DDX17/β-catenin in NPC.

Objective To explore the prescription rules of traditional Chinese medicine (TCM) in the treatment of diabetes periodontitis(DP) and the acting mechanisms of core drug combination. Methods Based on the relevant literature retrieved from the CNKI,Wanfang,VIP and Sinomed,a DP prescription database was established. Excel 2021,SPSS Modeler 18.0 and SPSS Statistics 26.0 were used to conduct the statistics of the frequency,efficacy classifications,properties,flavors,and meridian tropism of the included drugs. Association rule analysis and cluster analysis were performed to screen out the core drug combinations. The active components and action targets of core drug combinations were obtained through TCMSP and HERB. The DP related disease targets were predicted using GeneCards. The Venny platform was used to obtain the intersection of disease targets and drug targets. Key components were screened by Cytoscape to establish an "active component-target" network. Based on STRING platform data,PPI network was constructed by Cytoscape to screen core targets. GO functional annotation and KEGG signaling pathway enrichment analysis were carried out for the intersection targets by DAVID. AutoDockVina was applied for molecular docking between core targets and key components. Results A total of 36 articles were included,and 50 prescriptions involving 100 Chinese herbal medicines were extracted. Alismatis Rhizoma,Rehmanniae Radix Praeparata and Astragali Radix were the most common drugs. The most used drug category was deficiency-nourishing drugs. The properties of the herbs were mainly cold and warm,the major flavors were sweet and bitter,and the main meridian tropisms were kidney and liver. Six categories were classified by clustering analysis. Moutan Cortes-Corni Fructus-Rehmanniae Radix Praeparata was screened out as the core drug combination involving 18 active components,164 drug action targets and 104 intersection of DP targets and drug combination targets. Quercetin,stigmasterol,kaempferol,β-sitosterol,tetrahydroalstonine,and sitosterol were the key components,and AKT1,IL-6,TNF,IL-1B,PTGS2,JUN,TP53,ESR1,and MMP9 were the core targets. GO analysis revealed 3724 biological processes,228 cellular components and 404 molecular functions. KEGG analysis showed that DP was treated by the core drug combination through regulating 235 signaling pathways. Molecular docking results showed that there was a good affinity between the core target and the key component. Conclusion Tonifying deficiency is the main treatment methods of TCM for DP,accompanied by clearing heat and removing dampness,activating blood circulation and removing blood stasis,replenishing qi and nourishing yin. Core drug combination (Moutan Cortes-Corni Fructus-Rehmanniae Radix Praeparata) treats DP through multi-component,multi-target and multi-pathway,which provide a reference for clinical diagnosis and treatment.

Renal fibrosis， the final pathological outcome of end-stage chronic kidney diseases， is associated with inflammation， oxidative stress， epithelial-mesenchymal transdifferentiation （EMT）， and extracellular matrix deposition. It belongs to the categories of edema， ischuria， anuria and vomiting， and consumptive disease in traditional Chinese medicine （TCM）， with the key pathogenesis of Qi deficiency and blood stasis and the primary treatment principle of replenishing Qi and activating blood. Astragali Radix-Salviae Miltiorrhizae Radix et Rhizoma mainly contains astragalosides， polysaccharides， calycosin， salvianolic acid， and tanshinone， with the effect of tonifying Qi and activating blood. Studies have shown that this herb pair and its active components can delay the progress of renal fibrosis by regulating multiple signaling pathways. With consideration to the pathogenesis of Qi deficiency and blood stasis， this article reviews the research progress in the mitigation of renal fibrosis by Astragali Radix-Salviae Miltiorrhizae Radix et Rhizoma from the aspects of protecting glomerular filtration barrier， inhibiting EMT and mesangial cell proliferation， improving renal hemodynamics， and protecting renal function. Furthermore， the mechanisms were summarized. Specifically， Astragali Radix-Salviae Miltiorrhizae Radix et Rhizoma and its effective components can improve mitochondrial function and fatty acid metabolism， alleviate endoplasmic reticulum stress and autophagy disorders， and inhibit immune inflammation and oxidative stress by regulating nuclear factor E₂-related factor 2 （Nrf2）/PTEN-induced kinase 1 （Pink1）， Nrf2/antioxidant response element （ARE）， tumor necrosis factor-α （TNF-α）/nuclear transcription factor-κB （NF-κB）， miR-21/Smad7/transforming growth factor beta （TGF-β）， Wnt/β-catenin， long non-coding RNA-taurine up-regulated gene 1 （lncRNA-TUG1）/tumor necrosis factor receptor-associated factor 5 （TRAF5）， Ras-related C3 botulinum toxin substrate 1 （Rac1）/cell division cycle protein 42 （CDC42）， Ras homolog （Rho）/Rho-associated coiled-coil containing protein kinase （ROCK）， phosphatidylinositol-3-kinase （PI3K）/protein kinase B （Akt）， Janus kinase （JAK）/signal transducer and activator of transcription （STAT）， peroxisome proliferator-activated receptor α （PPARα）/peroxisome proliferator-activated receptor γ coactivator l alpha （PGC-1α）， and p38 mitogen-activated protein kinase （p38 MAPK）. This review aims to provide references for the relevant research， give play to the role of Astragali Radix-Salviae Miltiorrhizae Radix et Rhizoma， and provide guidance for the clinical treatment of renal fibrosis.

ObjectiveIn this study， based on ultra-high performance liquid chromatography-mass spectrometry（UHPLC-MS/MS） and high-throughput transcriptome sequencing technology（RNA-seq）， we investigated the mechanism of Yishen Huashi granules in regulating serum metabolites and renal messenger ribonucleic acid（mRNA） expression to improve diabetic kidney disease（DKD）. MethodSD rats were randomly divided into normal group ， model group and Yishen Huashi granules group， with 8 rats in each group. The rat model of DKD was established by intraperitoneal injection of streptozotocin. Yishen Huashi granules group was given 5.54 g·kg^-1·d^-1 of Yishen Huashi granules by gavage， and the normal group and the model group were given the same amount of normal saline for 6 weeks. During the experiment， the body weight and blood glucose of rats were monitored， and the rats were anesthetized 24 hours after the last administration， blood was collected from the inferior vena cava， serum was separated， and renal function， blood lipid， and inflammatory indicators were detected. Kidney tissue of rats was fixed in neutral paraformaldehyde， and stained with hematoxylin-eosin（HE）， Masson and periodic acid-Schiff（PAS） to observe the renal pathological changes. UHPLC-MS/MS and RNA-seq were used to identify the changes of serum metabolism and the differences of renal mRNA expression， and real time fluorescence quantitative polymerase chain reaction（Real-time PCR） and Western blot were used to detect the differential mRNA and protein expression in renal tissue to explore the common expression mechanism. ResultCompared with the normal group， rats in the model group showed a decrease in body weight， a significant increase in blood glucose， urinary microalbumin to urinary creatinine ratio（UACR）， blood urea nitrogen（BUN）， cystatin-C（Cys-C）， β₂-microglobulin（β₂-MG）， interleukin-6（IL-6）， triglyceride（TG） and total cholesterol（TC）， and a significant decrease in total superoxide dismutase（T-SOD）（P<0.01）. After the intervention of Yishen Huashi granules， all the indexes were improved to different degrees in rats（P<0.05， P<0.01）. Compared with the normal group， the model group showed renal mesangial stromal hyperplasia， fibrous tissue hyperplasia and tubular vacuolar degeneration. Compared with the model group， the renal pathology of rats in Yishen Huashi granules group was improved to a certain extent. A total of 14 target metabolites and 96 target mRNAs were identified， the target metabolites were mainly enriched in 20 metabolic pathways， including sphingolipid metabolism， glycerophospholipid metabolism， and the biosynthesis of phenylalanine， tyrosine and tryptophan. The target mRNAs were enriched to obtain a total of 21 differential mRNAs involved in the TOP20 pathways closely related to glycolipid metabolism. A total of 6 pathways， glycerophospholipid metabolism， arachidonic acid metabolism， purine metabolism， primary bile acid biosynthesis， ascorbic acid and uronic acid metabolism， and galactose metabolism， were enriched by serum differential metabolites and renal differential mRNAs， among them， there were 7 differential metabolites such as phosphatidylethanolamine（PE） and 7 differential mRNAs such as recombinant adenylate cyclase 3（ADCY3）. Seven differential metabolites had high predictive accuracy as verified by receiver operating characteristic（ROC） curve， and the results of Real-time PCR and Western blot were highly consistent with the sequencing results. ConclusionYishen Huashi granules can reduce UACR， BUN and other biochemical indexes， correct the disorder of glucose and lipid metabolism， and improve renal function of DKD rats. And its mechanism may be related to the regulation of the level of PE and other blood metabolites， and expression of Phospho1 and other mRNAs in the kidney， of which six pathways， including glycerophospholipid metabolism， may play an important role.

Objective:To analyze the detection strategy and basic detection situation of markers of infectious diseases transmitted by transfusion in blood testing laboratories of blood stations in China.Methods:Based on the data of practice comparison working party of Blood Stations in Mainland of China from 2017 to 2021, the data on the testing strategies and the basic detection information of the markers for the transmission of infectious diseases through transfusion in the member laboratories of the practice comparison working party of Blood Stations in Mainland of China from 2017 to 2021 were collected, and the situation of the selection for testing markers, testing strategy and the testing method and other relevant aspects were sorted out and analyzed by charts.Results:The selection of the testing markers was consistent, but HTLV testing item was added in some member laboratories. The detection strategy of using two ELISA reagents and one nucleic acid testing (NAT) reagent simultaneously was adopted in 47 member blood stations; 3) NAT method was dominated by mini pool-NAT in member laboratories. The number of members adopting mini-pools of 8 (MP8)-NAT decreased from 17 in 2017 to 14 in 2021, while the number of members adopting mini-pools of 6 (MP6)-NAT increased from 13 in 2017 to 22 in 2021; Roche NAT system accounted for the largest proportion.Conclusions:In order to ensure blood safety and avoid missing detection, the blood stations still adopt the detection strategy of using two ELISA reagents and one nucleic acid testing (NAT) reagent simultaneously; Meanwhile, in order to increase the NAT positive rate, the proportion of mini pool-NAT mainly decreased year by year despite its dominating role, while the proportion of individual donation-NAT increased year by year; NAT method is transiting from mini-pools of 8 (MP8) to mini-pools of 6 (MP6); The proportion of imported NAT system used in NAT laboratory is relatively large.

Background::Given that seizures may be triggered by vaccination, this study aimed to evaluate the risk and correlative factors of seizures in patients with epilepsy (PWE) after being vaccinated against coronavirus disease 2019 (COVID-19).Methods::This study retrospectively enrolled PWE who were vaccinated against COVID-19 in the epilepsy centers of 11 hospitals in China. We divided the PWE into two groups as follows: (1) patients who developed seizures within 14 days of vaccination were assigned to the SAV (with seizures after vaccination) group; (2) patients who were seizure-free within 14 days of vaccination were assigned to the SFAV (seizure-free after vaccination) group. To identify potential risk factors for seizure reccurence, the binary logistic regression analysis was performed. Besides, 67 PWE who had not been vaccinated were also included for elucidating the effects of vaccination on seizures recurrence, and binary logistic regression analysis was performed to determine whether vaccination would affect the recurrence rate of PWE who had drug reduction or withdrawal.Results::The study included a total of 407 patients; of which, 48 (11.8%) developed seizures within 14 days after vaccination (SAV group), whereas 359 (88.2%) remained seizure-free (SFAV group). The binary logistic regression analysis revealed that duration of seizure freedom ( P < 0.001) and withdrawal from anti-seizure medications (ASMs) or reduction in their dosage during the peri-vaccination period were significantly associated with the recurrence of seizures (odds ratio= 7.384, 95% confidence interval = 1.732–31.488, P = 0.007). In addition, 32 of 33 patients (97.0%) who were seizure-free for more than three months before vaccination and had a normal electroencephalogram before vaccination did not have any seizures within 14 days of vaccination. A total of 92 (22.6%) patients experienced non-epileptic adverse reactions after vaccination. Binary logistic regression analysis results showed that vaccine did not significantly affect the recurrence rate of PWE who had the behavior of ASMs dose reduction or withdrawal ( P = 0.143). Conclusions::PWE need protection from the COVID-19 vaccine. PWE who are seizure-free for >3 months before vaccination should be vaccinated. Whether the remaining PWE should be vaccinated depends on the local prevalence of COVID-19. Finally, PWE should avoid discontinuing ASMs or reducing their dosage during the peri-vaccination period.

Objective:To compare the efficacy of transcatheter arterial embolization (TAE) with laparotomy in the treatment of severe liver injury.Methods:A retrospective cohort study was conducted to analyze the clinical data of 48 patients with severe liver injury admitted to 909th Hospital of Joint Logistics Support Force (Affiliated Dongnan Hospital of Xianmen University Medical College) from December 2013 to June 2020, including 28 males and 20 females; aged 16-75 years [(45.7±6.2)years]. There were 25 patients with grade III, 15 grade IV and 8 grade V according to the American Association for the Surgery of Trauma (AAST) classification. After general treatments such as infusion and hemostasis, TAE was performed in 26 patients (TAE group) and laparotomy in 22 patients (laparotomy group). The operation time and length of hospital stay were compared between the two groups. Erythrocyte, hemoglobin and serum creatinine were compared before operation and at postoperative 1 day. Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were analyzed before operation and at postoperative 1, 3, 7 days. Complications were observed.Results:All patients were followed up for 12-60 months [(17.1±9.1)months]. The operation time and length of hospital stay were (65.7±9.2)minutes and (21.6±6.6)days in TAE group, significantly shorter than (162.5±28.1)minutes and (31.5±7.4)days in laparotomy group ( P<0.05 or 0.01). There was no significant difference between the two groups referring to erythrocyte, hemoglobin and serum creatinine before operation and at postoperative 1 day (all P>0.05). There was no significant difference in ALT and AST between the two groups before operation (all P>0.05). TAE group showed ALT level of 1 154(884, 1 698)U/L, (975.3±400.9)U/L and (403.4±232.9)U/L at postoperative 1, 3, 7 days, significantly lower than 2 053(1 965, 2 132)U/L, (1 604.1±188.2)U/L and (915.3±160.5)U/L in laparotomy group (all P<0.05). TAE group showed AST level of (1 313.2±542.0)U/L, 525(302, 971)U/L and 174(84, 324)U/L at postoperative 1, 3, 7 days, significantly lower than (1 962.9±245.4)U/L, 1 478(1 089, 1 677)U/L and 837(674, 1 006)U/L in laparotomy group ( P<0.05 or 0.01). The complication rate was 26.9% (7/26) in TAE group, significantly lower than 59.1% (13/22) in laparotomy group ( P<0.05). Conclusion:For severe liver injury, TAE can significantly shorten operation time and length of hospital stay, accelerate the recovery of liver function and reduce the complication rate in comparison with laparotomy.

Objective To analyze the literatures about artificial intelligence in cancer research in Web of Science (WOS) core collection database in 2010-2019 and summarize research hot spots and development trends. Methods Through bibliometrics methods and CiteSpace information visualization software, we applied the visual analysis of relevant literature on artificial intelligence in the field of cancer research retrieved from the Web of Science core collection database from 2010 to 2019. Results The number of published articles about artificial intelligence in the field of cancer research had been increasing year by year. The United States ranked first in the number of published articles in this field, the number of citations and cooperation capabilities. Although the number of published articles in China ranked the second, the number of citations was low. The hot spots of artificial intelligence in cancer research were mainly breast cancer and lung cancer. Machine learning, neural network and other methods were used to build models, which were used in basic cancer research, clinical diagnosis, treatment and prognosis prediction. The research frontiers were the methodological research of artificial intelligence, the research on the occurrence and classification of cancer and the research of protein in this field. Conclusion It will effectively promote the development of artificial intelligence in cancer research in China by learning the hot spots and cutting-edge technologies of international research, focusing on international cooperation and cooperation among national institutions and strengthening cross-disciplinary research.