Abstract Objective To explore the feasibility of injectable platelet-rich fibrin (i-PRF) in regenerative endodontics by comparing the effect of i-PRF and platelet-rich fibrin (PRF) on the biological behavior and angiogenesis of human stem cells from the apical papilla (SCAPs). Methodology i-PRF and PRF were obtained from venous blood by two different centrifugation methods, followed by hematoxylin-eosin (HE) staining and scanning electron microscopy (SEM). Enzyme-linked immunosorbent assay (ELISA) was conducted to quantify the growth factors. SCAPs were cultured with different concentrations of i-PRF extract (i-PRFe) and PRF extract (PRFe), and the optimal concentrations were selected using the Cell Counting Kit-8 (CCK-8) assay. The cell proliferation and migration potentials of SCAPs were then observed using the CCK-8 and Transwell assays. Mineralization ability was detected by alizarin red staining (ARS), and angiogenesis ability was detected by tube formation assay. Real-time quantitative polymerase chain reaction (RT-qPCR) was performed to evaluate the expression of genes related to mineralization and angiogenesis. The data were subjected to statistical analysis. Results i-PRF and PRF showed a similar three-dimensional fibrin structure, while i-PRF released a higher concentration of growth factors than PRF ( P <.05). 1/4× i-PRFe and 1/4× PRFe were selected as the optimal concentrations. The cell proliferation rate of the i-PRFe group was higher than that of the PRFe group ( P <.05), while no statistical difference was observed between them in terms of cell mitigation ( P >.05). More importantly, our results showed that i-PRFe had a stronger effect on SCAPs than PRFe in facilitating mineralization and angiogenesis, with the consistent result of RT-qPCR ( P <.05). Conclusion This study revealed that i-PRF released a higher concentration of growth factors and was superior to PRF in promoting proliferation, mineralization and angiogenesis of SCAPs, which indicates that i-PRF could be a promising biological scaffold for application in pulp regeneration. plateletrich platelet rich iPRF i (i-PRF (PRF SCAPs. . (SCAPs) methods hematoxylineosin hematoxylin eosin HE (HE SEM. SEM (SEM) Enzymelinked Enzyme linked ELISA (ELISA iPRFe (i-PRFe PRFe, , (PRFe) Kit8 Kit 8 Kit- CCK8 CCK (CCK-8 CCK- assays ARS, ARS (ARS) Realtime Real time RTqPCR RT qPCR (RT-qPCR analysis threedimensional three dimensional structure <.05. 05 <.05 <.05) 14 1 4 1/4 <.05, >.05. >.05 >.05) importantly regeneration (SCAPs (SEM (PRFe (CCK- (ARS 0 <.0 1/ >.0 (CCK <. >. < >

ABSTRACT BACKGROUND: Red blood cell distribution width (RDW) is related to sepsis-related mortality. Hemophagocytic lymphohistiocytosis (HLH) is a syndrome caused by severe infection, tumors, or autoimmunity without a specific diagnosis. OBJECTIVE: To explore the correlation between RDW and mortality in patients with HLH. DESIGN AND SETTING: A retrospective study conducted in a hospital in China. METHODS: A total of 101 inpatients with HLH from January 1, 2017 to December 31, 2021 were divided into non-survivor (n = 52) and survivor (n = 49) groups. A non-parametric test was used to analyze demographic, clinical, and laboratory data between groups. Independent variables with P < 0.05 were analyzed using binary logistic regression to screen out mortality-related variables. Selected variables were subjected to multivariate logistic regression analysis, and those with strong correlations were screened. Receiver operating characteristic (ROC) curves of strongly correlated variables and area under curve (AUC) values were obtained. RESULTS: The APACHE II score, RDW, and platelet (PLT) and fibrinogen (FIB) levels (P < 0.05) different significantly. RDW, PLT, FIB were correlated with mortality. The AUC values of RDW, PLT, and FIB were 0.857, 0.797, and 0.726, respectively. RDW was associated with mortality in patients with HLH (P < 0.01, cut-off value: 16.9). The sensitivity and specificity of predicting mortality were 97.96% and 96.1%, respectively. CONCLUSION: Logistic regression analysis showed a correlation between RDW and patients’ mortality. Therefore, RDW can be used to predict mortality in patients with HLH.

ABSTRACT BACKGROUND: Red blood cell distribution width (RDW) is related to sepsis-related mortality. Hemophagocytic lymphohistiocytosis (HLH) is a syndrome caused by severe infection, tumors, or autoimmunity without a specific diagnosis. OBJECTIVE: To explore the correlation between RDW and mortality in patients with HLH. DESIGN AND SETTING: A retrospective study conducted in a hospital in China. METHODS: A total of 101 inpatients with HLH from January 1, 2017 to December 31, 2021 were divided into non-survivor (n = 52) and survivor (n = 49) groups. A non-parametric test was used to analyze demographic, clinical, and laboratory data between groups. Independent variables with P < 0.05 were analyzed using binary logistic regression to screen out mortality-related variables. Selected variables were subjected to multivariate logistic regression analysis, and those with strong correlations were screened. Receiver operating characteristic (ROC) curves of strongly correlated variables and area under curve (AUC) values were obtained. RESULTS: The APACHE II score, RDW, and platelet (PLT) and fibrinogen (FIB) levels (P < 0.05) different significantly. RDW, PLT, FIB were correlated with mortality. The AUC values of RDW, PLT, and FIB were 0.857, 0.797, and 0.726, respectively. RDW was associated with mortality in patients with HLH (P < 0.01, cut-off value: 16.9). The sensitivity and specificity of predicting mortality were 97.96% and 96.1%, respectively. CONCLUSION: Logistic regression analysis showed a correlation between RDW and patients’ mortality. Therefore, RDW can be used to predict mortality in patients with HLH. BACKGROUND (RDW sepsisrelated sepsis (HLH infection tumors diagnosis OBJECTIVE SETTING China METHODS 10 1 201 31 202 nonsurvivor non n 52 49 groups nonparametric parametric demographic clinical 005 0 05 0.0 mortalityrelated screened ROC (ROC (AUC obtained RESULTS score PLT (PLT (FIB significantly 0857 857 0.857 0797 797 0.797 0726 726 0.726 respectively 001 01 0.01 cutoff cut off value 16.9. 169 16.9 . 16 9 16.9) 9796 97 96 97.96 961 96.1% CONCLUSION Therefore 20 3 5 4 00 0. 085 85 0.85 079 79 0.79 072 72 0.72 16. 979 97.9 96.1 2 08 8 0.8 07 7 0.7 97. 96.

Abstract Rabbit with hypercholesterolaemia is an important model for studying cholesterol metabolism disease. This study aimed to evaluate the expression stability of nine reference genes for quantitative PCR (qPCR) analysis in adrenal gland, liver, spleen, and kidney tissue from rabbits with hypercholesterolaemia. In total, 30 male Harbin Large White (HLW) rabbits were fed a normal feed (n = 15) or a high cholesterol feed (n = 15) for 8 weeks to induce hypercholesterolaemia. Nine reference genes were verified by qPCR using cDNA extracted from rabbit tissue samples. For qPCR analysis, reference genes were evaluated using the RefFinder and GeNorm algorithms. Overall, seven rabbits with hypercholesterolaemia were identified based on body weight and total cholesterol measurements. Combining the results of the RefFinder and GeNorm algorithms, the most stable reference genes were hypoxanthine phosphoribosyltransferase 1 (Hprt1) and eukaryotic translation elongation factor 1 alpha 1 (Eef1a1) in the adrenal gland, β-2-microglobulin (B2m) and glyceraldehyde-3-phosphate dehydrogenase (Gapdh) in the liver, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta (Ywhaz) and Gapdh in the spleen, and peptidylprolyl isomerase (Ppia), β-actin (Actb), succinate dehydrogenase complex subunit A flavoprotein (Sdha), and B2m in the kidney. Taken together, our results confirmed that Hprt1 and Eef1a1, B2m and Gapdh, Ywhaz and Gapdh, and Ppia, Actb, Sdha, and B2m were the best reference genes for qPCR analyses in adrenal gland, liver, spleen, and kidney tissue, respectively, of rabbits with hypercholesterolaemia.

Objective: Recent genome-wide association studies have identified a significant relationship between the NT5C2 variant rs11191580 and schizophrenia (SCZ) in European populations. This study aimed to validate the association of rs11191580 polymorphism with SCZ risk in a South Chinese Han population. The relationship of this polymorphism with the severity of SCZ clinical symptoms was also explored. Methods: A case-control study was performed in 462 patients with SCZ and 598 healthy controls. Rs11191580 was genotyped by the Sequenom MassARRAY iPLEX platform. A total of 459 SCZ patients completed the Positive and Negative Syndrome Scale (PANSS) evaluation. Data were analyzed by PLINK software. Results: We confirmed an association of the rs11191580 polymorphism with SCZ risk in South Chinese Han under a dominant genetic model (ORadj = 0.769; 95%CIadj = 0.600-0.984; padj = 0.037). PANSS scores showed a significant association between variant rs11191580 and total score (padj = 0.032), lack of response scale score (padj = 0.022), and negative scale score (additive: padj = 0.004; dominant: padj = 0.016; recessive: padj = 0.021) after data were adjusted for age and sex. Conclusion: NT5C2 variant rs11191580 conferred susceptibility to SCZ and affected the clinical symptoms of SCZ in a South Chinese Han population.

ABSTRACT DNA vaccines have been shown to be an effective approach to induce antigen-specific cellular and humoral immunity. However, the inability of DNA vaccines to elicit strong immune responses in clinical trials limits the application of DNA vaccines. Here, we developed a new DNA vaccine based on MUC1, which has been suggested as a potential target for lung cancer therapy, and we enhanced the potency of the DNA vaccine by including granulocyte-macrophage colony-stimulating factor (GM-CSF) as an adjuvant. A series of DNA plasmids encoding MUC1, human GM-CSF and their conjugates were constructed and injected into female mice intramuscularly (i.m.). This action was followed by an electric pulse. The humoral and cellular immune responses after immunization were examined by ELISA and ELISPOT, respectively. To evaluate the therapeutic efficacy of the plasmids, a mouse model with a MUC1-expressing tumor was designed. Mice vaccinated with the MUC1-GM-CSF plasmid generated the strongest MUC1-specific humoral and cellular immune responses. Furthermore, these vaccinations inhibited the growth of MUC1-expressing tumors and prolonged mouse survival. These observations emphasize the potential of GM-CSF as an adjuvant for DNA vaccines and of vaccines based on MUC1 and GM-CSF as a promising treatment for lung cancer.