Clinical value of TAT, PIC and t-PAIC as predictive markers for severe sepsis in pediatric patients.

Objective: Sepsis in pediatric patients can progress to severe sepsis, and identifying biomarkers of this progression may permit timely intervention to prevent it. This study aimed to investigate the ability of thrombin-antithrombin complex (TAT), α2-plasmininhibitor-plasmin complex (PIC) and tissue-type plasminogen activator-inhibitor complex (t-PAIC) to predict severe sepsis in pediatrics early. Methods: 148 eligible pediatric sepsis patients were enrolled in this study, and were then divided into those who progressed to severe sepsis (n = 50) or not (n = 98). Serum levels of TAT, PIC, and t-PAIC were analysed, and simplified pediatric critical illness score (PCIS) and DIC score were calculated on the day of pediatric sepsis diagnosis. Results: Compared with sepsis patients, severe sepsis patients had higher levels of TAT, PIC and t-PAIC. Correlation analysis revealed that TAT, PIC and t-PAIC were significantly correlated with simplified PCIS and DIC score. ROC curve analysis suggested that TAT, PIC and t-PAIC could serve as biomarkers for predicting severe sepsis with the AUC up to 0.862, 0.759 and 0.851, respectively. Stratified analysis demonstrated that the patients with increased levels of TAT, PIC and t-PAIC had worse illness severity and clinical outcome. Univariate logistic regression analysis revealed that TAT, PIC and t-PAIC were all risk factors for severe sepsis, yet only TAT and t-PAIC were independent risk factors in multivariate model. Conclusions: TAT, PIC and t-PAIC could serve as biomarkers for predicting severe sepsis, and correlated with illness severity in pediatrics, what's more, serum levels of TAT and t-PAIC may be independent risk factors for pediatric severe sepsis.

Research hotspots for pediatric fractures from 2017 to 2022: A bibliometric and visual analysis via Citespace.

Objective: This review provides guidance and ideas for researchers through a comprehensive and comparative analysis of the present state, trends, and hotspots in the pediatric fracture literature over the past 6 years. Methods: We used Citespace 6.1.R6 software to explore the country/region distribution, institutions, journals, keyword analysis, and co-cited references of the literature from Web of Science core database. Results: There are 6472 pieces of pediatric fracture-related literature, including 2962 from 2017 to 2019 and 3510 from 2020 to 2022. The country with the most papers is the United States, and US institutions and journals also have a pivotal position in this field. Research hotspots for pediatric fractures in 2017-2019: The topic with the most attention is bone mineral density leading to related bone diseases. Treatment for pediatric fractures, including supracondylar humeral fractures, Monteggia fractures, forearm fractures, knee fractures, and ankle fractures in children, is another topic of greater interest. Brain injuries and dental injuries in children due to abuse and trauma are also concerning issues. Research hotspots for pediatric fractures in 2020-2022: comparison with 2017-2019 revealed a relative decrease regarding ankle-related epiphyseal injuries, but there is a higher focus on the epidemiology of fractures in children, risk factors, and reasons for childhood trauma. We have confirmed through literature co-citations that the literature of high interest is also in these aspects. Conclusion: Researchers and clinicians can quickly learn about topics of interest through authoritative journals and highly cited literature and rapidly master the current status and frontiers of the field through study, providing ideas for future work.

The signature and predictive value of immune parameters in patients with secondary hemophagocytic lymphohistiocytosis.

BACKGROUND: Secondary hemophagocytic lymphohistiocytosis (sHLH) is a rare but fatal clinical syndrome, characterized by severe immune dysfunction and overwhelming inflammatory response. However, the host immune signature and also its role in predicting the clinical outcome are not fully described. OBJECTIVE: The present study aims to investigate the host immune status of sHLH patients in the early stage of the disease, including lymphocyte subsets, phenotypes and cytokines, and also to explore its clinical value in prognosis. METHODS: Sixty-four patients with sHLH admitted to a tertiary hospital in central China between 2018 and 2022 were enrolled, of which 21 were deceased. The subsets and phenotypes of lymphocytes, and the levels of cytokines in serum were analyzed. RESULTS: In patients with sHLH, the percentages of total T cells, CD8+ T cells, HLA-DR+ T cells, HLA-DR+CD8+ T cells, CD45RO+CD4+ T cells, and the levels of IL-1ß, IL-2R, IL-6, IL-8, IL-10 and TNF-α were significantly increased, while the percentages of CD4+ T cells, NK cells, CD45RA+CD4+ T cells, CD45RA+ regulatory T (Treg) cells, the counts of total T cells, total B cells, CD4+ T cells, CD8+ T cells, NK cells, and the ratio of CD4+ T/CD8+ T cells were significantly decreased, compared with healthy controls (HC). In addition, dysregulation of host immune response and high inflammatory status were more obvious in deceased patients than that of survivors. Kaplan-Meier survival analysis and multivariate logistic regression analysis demonstrated that lower levels of CD4+ T cells count and CD28+CD4+ T cells percentage, but higher levels of NK cells percentage and IL-1ß were poor prognostic indicators of sHLH. CONCLUSION: The evaluation of immunological markers has critical value for selecting prognostic markers and potential treatment target among adults with sHLH.

The Interrater and Intrarater Reliability of the Humeral Head Ossification System and the Proximal Femur Maturity Index Assessments for Patients with Adolescent Idiopathic Scoliosis.

Background: Skeletal maturity can evaluate the growth and development potential of children and provide a guide for the management of adolescent idiopathic scoliosis (AIS). Recent studies have demonstrated the advantages of the Humeral Head Ossification System (HHOS) and the Proximal Femur Maturity Index (PFMI), based on standard scoliosis films, in the management of AIS patients. We further assessed the HHOS and the PFMI method's reliability in the interrater and intrarater. Methods: The data from 38 patients, including the humeral head and proximal femur on standard scoliosis films, were distributed to the eight raters in the form of a PowerPoint presentation. On 38 independent standard spine radiographs, raters utilized the HHOS and PFMI to assign grades. The PPT sequence was randomly changed and then reevaluated 2 weeks later. For every system, the 95% confidence interval (95% CI) and intraclass correlation coefficient (ICC) were calculated to evaluate the interrater and intrarater reliability. Results: The HHOS was extremely reliable, with an intraobserver ICC of 0.802. In the first round, the interobserver ICC reliability for the HHOS was 0.955 (0.929-0.974), while in the second round, it was 0.939 (0.905-0.964). The PFMI was extremely reliable, with an intraobserver ICC of 0.888. In the first round, the interobserver ICC reliability for the PFMI was 0.967 (0.948-0.981), while in the second round, it was 0.973 (0.957-0.984). Conclusions: The HHOS and PFMI classifications had excellent reliability. These two methods are beneficial to reduce additional exposure to radiation and expense for AIS. There are advantages and disadvantages to each classification. Clinicians should choose a personalized and reasonable method to assess skeletal maturity, which will assist in the management of adolescent scoliosis patients.

Electro-oxidation induced O-S cross-coupling of quinoxalinones with sodium sulfinates for synthesizing 2-sulfonyloxylated quinoxalines.

The functionalization of quinoxalinones is synthetically and biologically appealing, however, C2 functionalized quinoxalinones is not reported via environmentally friendly approach. Herein, we disclosed C2-O sulfonylation of quinoxalinones via our developed electrochemical oxidative O-S coupling strategy for synthesizing 2-sulfonyloxylated quinoxalines. Applying this protocol, quinoxalin-ones and sodium sulfinates as the starting materials, a wide range of 2-sulfonyloxyl quinoxaline derivatives were obtained in moderate to good yields with good functional-group tolerance under mild conditions without additional oxidants. The utility of this methodology and the sulfonyloxyl handles was demonstrated trough gram-scale preparation and the synthesis of 2-substituted quinoxaline-based bioactive molecules, respectively.

[Study on the value of prothrombin time for predicting the severity and prognosis of septic patients].

OBJECTIVE: To explore the predictive efficacy of prothrombin time (PT) with regarding for the severity and prognosis of septic patients, along with comparing with other routine coagulation parameters. METHODS: A retrospective analysis was conducted. The clinical data of 302 septic patients who were admitted to the intensive care unit (ICU) of Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology from January 1 to December 31 in 2019 were enrolled. Demographic and basic clinical data were collected. Laboratory data, including PT, activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (FIB), D-dimer, fibrin (fibrinogen) degradation product (FDP), antithrombin (AT), platelet count (PLT) at ICU admission were recorded, and sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score within 24 hours of admission to ICU were also collected. What's more, some major clinical events, such as septic shock, disseminated intravascular coagulation (DIC), etc. during ICU stay were also monitored. A follow-up 28 days observation of prognosis was performed. The patients were divided into the septic shock group and the non-septic shock group according to the occurrence of septic shock, and they were divided into the survival group and the non-survival group according to the 28-day prognosis. The differences in terms of above parameters between each two groups were compared. Spearman correlation method was used to analyze the correlation between routine coagulation parameters and SOFA score or APACHE II score. Receiver operator characteristic curve (ROC curve) was plotted to determine the predictive efficacy of each routine coagulation parameter with regarding to predict septic shock and 28-day mortality. Based on the cut-off value of PT, the septic patients were divided into two risk stratifications, and then the major clinical and end point outcome were compared. Kaplan-Meier survival curve analysis was applied to investigate the difference of the 28-day cumulated survival rate based on the different risk stratifications of PT level. Finally, multivariate Logistic regression analysis was used to explore whether prolonged PT level was an independent risk factor for septic shock and 28-day mortality. RESULTS: The 302 patients were all enrolled, including 120 patients with septic shock and 182 patients without. Seventy-five patients died within 28 days, while 227 survived. Comparing with the non-septic shock group or the survival group, the septic shock group or the non-survival group patients both had longer PT, APTT and TT, higher D-dimer, FDP and lower PLT, FIB and AT. Correlation analysis revealed that PT and PLT were better correlated with SOFA score (r values were 0.503 and -0.524, both P < 0.01), and PT was better correlated with APACHE II score (r = 0.407, P < 0.01). ROC curve analysis showed that PT had the most powerful predictive efficacy for septic shock and 28-day mortality. The area under the ROC curve (AUC) and 95% confidence interval (95%CI) were 0.831 (0.783-0.879) and 0.739 (0.674-0.805), respectively. The cut-off value were 16.8 s and 16.3 s, respectively, with the sensitivity of 64.2%, 72.0% and the specificity of 89.0%, 70.9%, respectively. Risk stratification based on PT level revealed that the patients with PT > 16.5 s (n = 103) had higher rate of 28-day mortality, incidence of septic shock and DIC, and score of SOFA and APACHE II comparing to those with PT ≤ 16.5 s (n = 199). Kaplan-Meier survival curve analysis showed that the 28-day cumulative survival rate was significantly lower in the patients with PT > 16.5 s than those with PT ≤ 16.5 s (52.43% vs. 86.93%; Log-Rank test: χ2 = 49.428, P < 0.001). Multivariate Logistic regression analysis revealed that PT > 16.5 s was an independent risk factor both for septic shock and 28-day mortality [model 1 (enrolled SOFA score): odds ratio (OR) and 95%CI were 6.003 (3.040-11.855), 4.842 (2.114-11.089); model 2 (enrolled APACHE II score): OR and 95%CI were 7.675 (4.007-14.702), 5.160 (2.258-11.793)]. CONCLUSIONS: Compared with other routine coagulation parameters, PT has the potential best predictive value for evaluating the severity of sepsis and the prognosis. When a patient is diagnosed with sepsis and has a result of PT longer than 16.5 s at ICU admission, the patient may have a higher risk of progression to septic shock and short-term death.

A Decreased Absolute Number of Treg Cells in Patients with Active Rheumatoid Arthritis is Associated with Elevated Serum Osteopontin Levels with Disease Progression.

INTRODUCTION: Rheumatoid arthritis (RA) is a chronic and refractory autoimmune disease characterized by synovial inflammation with unknown aetiology. Immune system dysfunction mediated by CD4+ T lymphocytes, which is regulated by the cytokine osteopontin (OPN), plays an important role in the pathogenesis of RA. METHODS: In this study, the levels of peripheral CD4+ T subsets and serum OPN in patients with active RA were measured and analysed to determine the possible pathogenesis of RA and to provide potential therapeutic targets. RESULTS: Serum OPN levels in both patients with active RA and patients with refractory RA were higher than those in healthy controls (HCs). Compared with HCs, the absolute numbers of Th2 cells increased in patients with active RA, while the absolute counts of Th1 and Treg cells decreased. There was no significant difference in CD4+ T subset levels between new-onset and refractory patients. As the condition persisted or deteriorated, a gradual increase in the levels of OPN and gradual declines in the absolute counts of Th1 and Treg cells were observed in patients with active RA. The fewest Th1 and Treg cells and the highest OPN levels were observed in patients with high disease activity. The serum OPN level was only significantly negatively correlated with the absolute counts of Treg cells in the CD4+ T lymphocyte subsets. CONCLUSIONS: Fewer Treg cells with the increase in disease activity may be related to the increased OPN concentration, which may provide new ideas and directions for the targeted immunoregulatory treatment of RA.

Machine learning based on routine laboratory indicators promoting the discrimination between active tuberculosis and latent tuberculosis infection.

BACKGROUND: Discriminating active tuberculosis (ATB) from latent tuberculosis infection (LTBI) remains challenging. The present study aims to evaluate the performance of diagnostic models established using machine learning based on routine laboratory indicators in differentiating ATB from LTBI. METHODS: Participants were respectively enrolled at Tongji Hospital (discovery cohort) and Sino-French New City Hospital (validation cohort). Diagnostic models were established based on routine laboratory indicators using machine learning. RESULTS: A total of 2619 participants (1025 ATB and 1594 LTBI) were enrolled in discovery cohort and another 942 subjects (388 ATB and 554 LTBI) were recruited in validation cohort. ATB patients had significantly higher levels of tuberculosis-specific antigen/phytohemagglutinin ratio and coefficient variation of red blood cell volume distribution width, and lower levels of albumin and lymphocyte count than those of LTBI individuals. Six models were built and the optimal performance was obtained from GBM model. GBM model derived from training set (n = 1965) differentiated ATB from LTBI in the test set (n = 654) with a sensitivity of 84.38% (95% CI, 79.42%-88.31%) and a specificity of 92.71% (95% CI, 89.73%-94.88%). Further validation by an independent cohort confirmed its encouraging value with a sensitivity of 87.63% (95% CI, 83.98%-90.54%) and specificity of 91.34% (95% CI, 88.70%-93.40%), respectively. CONCLUSIONS: We successfully developed a model with promising diagnostic value based on machine learning for the first time. Our study proposed that GBM model may be of great benefit served as a tool for the accurate identification of ATB.

Path planning of a manipulator based on an improved P_RRT* algorithm.

Aiming to build upon the slow convergence speed and low search efficiency of the potential function-based rapidly exploring random tree star (RRT*) algorithm (P_RRT*), this paper proposes a path planning method for manipulators with an improved P_RRT* algorithm (defined as improved P_RRT*), which is used to solve the path planning problem for manipulators in three-dimensional space. This method first adopts a random sampling method based on a potential function. Second, based on a probability value, the nearest neighbour node is selected by the nearest Euclidean distance to the random sampling point and the minimum cost function, and in the expansion of new nodes, twice expansion methods are used to accelerate the search efficiency of the algorithm. The first expansion adopts the goal-biased expansion strategy, and the second expansion adopts the strategy of random sampling in a rectangular area. Then, the parent node of the new node is reselected, and the path is rerouted to obtain a clear path from the initial point to the target point. Redundant node deletion and the maximum curvature constraint are used to remove redundant nodes and minimize the curvature on the generated path to reduce the tortuosity of the path. The Bezier curve is used to fit the processed path and obtain the trajectory planning curve for the manipulator. Finally, the improved P_RRT* algorithm is verified experimentally in Python and the Robot Operating System (ROS) and compared with other algorithms. The experimental results verify the effectiveness and superiority of the improved algorithm.

Absorption, metabolism, and pharmacokinetic profile of xanthohumol in rats as determined via UPLC-MS/MS.

Xanthohumol, a natural isoflavone from Humulus lupulus L., possesses biological activities. However, the biological fate of xanthohumol in vivo remains unclear. The aim of this study was to investigate the absorption and metabolism of xanthohumol in rats through UPLC-MS/MS. The plasma, urine and fecal samples were collected after oral administration of xanthohumol (25, 50, 100 mg/kg) in SD rats. The contents of xanthohumol and its metabolites were determined by UPLC-MS/MS. A total of 6 metabolites of xanthohumol were identified in rats, including methylated, glucuronidated, acid-catalyzed cyclization and oxidation, indicating xanthohumol underwent phase I and II metabolism. Besides, isoxanthohumol was the major metabolites of xanthohumol. Xanthohumol was rapidly absorbed, metabolized, and eliminated in rats. The pharmacokinetics results showed the Tmax of xanthohumol and isoxanthohumol were 3 and 2.33 h, respectively. The AUC0-t of xanthohumol and isoxanthohumol were 138.83 ± 6.03 and 38.77 ± 4.46 ng/ml·h, respectively. Furthermore, xanthohumol was mainly excreted in the form of prototype through feces and a small amount of xanthohumol was excreted through urine. These results illustrated the absorption, metabolism, and pharmacokinetics process of xanthohumol in rats, and provided a reference for the further rational applications.

Recent Progress of Small Molecule Menin-MLL Interaction Inhibitors as Therapeutic Agents for Acute Leukemia.

Mixed lineage leukemia (MLL) gene rearrangements are associated with acute leukemia. The protein menin is regarded as a critical oncogenic cofactor of the resulting MLL fusion proteins in acute leukemia. A direct interaction between menin and the MLL amino terminal sequences is necessary for MLL fusion protein-mediated leukemogenesis. Thus, inhibition of the interaction between menin and MLL has emerged as a novel therapeutic strategy. Recent improvements in structural biology and chemical reactivity have promoted the design and development of selective and potent menin-MLL interaction inhibitors. In this Perspective, different classes of menin-MLL interaction inhibitors are comprehensively summarized. Further research potential, challenges, and opportunities in the field are also discussed.

Fuzheng Yiliu Formula Regulates Tumor Invasion and Metastasis through Inhibition of WAVE3 Expression.

OBJECTIVE: To explore the mechanism of action of Fuzheng Yiliu formula (FZYLF) in regulation of the invasion and metastasis of MDA-MB-231/Adr human breast cancer cells through WAVE3. METHODS: The MDA-MB-231/Adr cells with high invasive ability were screened by Transwell, and the plasmid with high WAVE3 expression was made for transfection. Plasmid transfection efficiency and protein expression level were verified by polymerase chain reaction (PCR) and western blotting (WB). The effect of FZYLF on cell proliferation and invasion was investigated before and after WAVE3 silencing by flow cytometry. A nude mouse model of tumor metastasis was established to study the antitumor activity of FZYLF. RESULTS: The expression levels of mRNA and proteins of intracellular WAVE3 increased significantly after plasmid transfection, mRNA from 1.37± 0.41 to 9.88 ± 1.31 and protein from 1 ± 0.08 to 5.09 ± 0.03 (P < 0.01). Intervention with FZYLF could significantly affect the activity of MDA-MB-231/Adr cells and inhibit invasion and metastasis, IC50 from 71.04 to 46.41 mg/mL and from 162 ± 14.82 to 81.4 ± 12.05 (P < 0.05 or P < 0.01), and significantly reduce the expression levels of WAVE3 (from 1 ± 0.02 to 0.63 ± 0.04), MMP-9 (from 1 ± 0.05 to 0.63 ± 0.03), NF-κB (p65) (from 1 ± 0.02 to 0.62 ± 0.02), and p-IκBα (from 1 ± 0.03 to 0.68 ± 0.02) (P < 0.05 or P < 0.01). The T/C (%) of FZYLF (13 g crude drug/kg) was 62.06% for MDA-MB-231/Adr tumor xenografted in nude mice, with a tumor inhibition rate of 39.64%. CONCLUSION: FZYLF can inhibit the invasion and proliferation of the MDA-MB-231/Adr human breast cancer cells, and the mechanism of action may be related to the regulation of WAVE3 expression.

Lipopolysaccharide Promotes Inflammatory Response via Enhancing IFIT1 Expression in Human Umbilical Vein Endothelial Cells.

Atherosclerosis is an immune inflammatory disease and a major cause of mortality and morbidity worldwide. It is generally considered that a number of potent proinflammatory cytokines have a great influence on its pathogenesis, including IL-1ß, IL-6, TNF-α, and NF-κB. A growing amount of empirical evidence indicates that the mechanism of cardiac dysfunction caused by lipopolysaccharide (LPS) is the activation of inflammation, but the exact mechanism in atherosclerosis is still unclear. Previous studies have shown that interferon-induced protein with tetratricopeptide repeats 1 (IFIT1) participates in inflammation, but the effects and possible mechanism of action of IFIT1 on proinflammatory response remain largely unexplained. We found that LPS induced upregulation of IFIT1 expression in a time- and concentration-dependent manner in human umbilical vein endothelial cells (HUVECs). Overexpression of IFIT1 significantly upregulated LPS-induced expression of IL-1ß, IL-6, TNF-α, and NF-κB in HUVECs. IFIT1-siRNA treatment dramatically decreased LPS-induced expression of IL-1ß, IL-6, TNF-α, and NF-κB in HUVECs. The above results show that LPS induces expression of IL-1ß, IL-6, TNF-α, and NF-κB through upregulating IFIT1 expression in HUVECs, and suggested that IFIT1 could act as potential therapeutic target to ameliorate atherosclerosis-related diseases.

TTDA inhibited apoptosis by regulating the p53-Bax/Bcl2 axis in glioma.

The trichothiodystrophy group A protein (TTDA) functions in nucleotide excision repair and basal transcription. TTDA plays a role in cancers and serves as a prognostic and predictive factor in high-grade serous ovarian cancer; however, its role in human glioma remains unknown. Here, we found that TTDA was overexpressed in glioma tissues. In vitro experiments revealed that TTDA overexpression inhibited apoptosis of glioma cells and promoted cell growth, whereas knockdown of TTDA had the opposite effect. Increased TTDA expression significantly decreased the Bax/Bcl2 ratio and the level of cleaved-caspase3. TTDA interacted with the p53 gene at the -1959 bp and -1530 bp region and regulated its transcription, leading to inhibition of the p53-Bax/Bcl2 mitochondrial apoptosis pathway in glioma cells. These results indicate that TTDA is an upstream regulator of p53-mediated apoptosis and acts as an oncogene, suggesting its value as a potential molecular target for the diagnosis and treatment of glioma.

Anticoagulant treatment is associated with decreased mortality in severe coronavirus disease 2019 patients with coagulopathy.

BACKGROUND: A relatively high mortality of severe coronavirus disease 2019 (COVID-19) is worrying, and the application of heparin in COVID-19 has been recommended by some expert consensus because of the risk of disseminated intravascular coagulation and venous thromboembolism. However, its efficacy remains to be validated. METHODS: Coagulation results, medications, and outcomes of consecutive patients being classified as having severe COVID-19 in Tongji hospital were retrospectively analyzed. The 28-day mortality between heparin users and nonusers were compared, as was a different risk of coagulopathy, which was stratified by the sepsis-induced coagulopathy (SIC) score or D-dimer result. RESULTS: There were 449 patients with severe COVID-19 enrolled into the study, 99 of them received heparin (mainly with low molecular weight heparin) for 7 days or longer. D-dimer, prothrombin time, and age were positively, and platelet count was negatively, correlated with 28-day mortality in multivariate analysis. No difference in 28-day mortality was found between heparin users and nonusers (30.3% vs 29.7%, P = .910). But the 28-day mortality of heparin users was lower than nonusers in patients with SIC score ≥4 (40.0% vs 64.2%, P = .029), or D-dimer >6-fold of upper limit of normal (32.8% vs 52.4%, P = .017). CONCLUSIONS: Anticoagulant therapy mainly with low molecular weight heparin appears to be associated with better prognosis in severe COVID-19 patients meeting SIC criteria or with markedly elevated D-dimer.

Asiatic Acid Interferes with Invasion and Proliferation of Breast Cancer Cells by Inhibiting WAVE3 Activation through PI3K/AKT Signaling Pathway.

OBJECTIVE: To explore the ability of asiatic acid to interfere with the invasion and proliferation of breast cancer cells by inhibiting WAVE3 expression and activation through the PI3K/AKT signaling pathway. METHODS: The MDA-MB-231 cells with strong invasiveness were screened by transwell assay, and plasmids with high expression of WAVE3 were constructed for transfection. The transfection effect and protein expression level of plasmids were verified by PCR and WB. The effects of asiatic acid on cell proliferation and invasion were investigated by flow cytometry. The xenografted tumor models in nude mice were established to study the antitumor activity of asiatic acid. RESULTS: Asiatic acid significantly inhibited the activity of MDA-MB-231 cells, and the expression level of WAVE3 increased significantly in the tissue of ductal carcinoma in situ and was lower than that in the metastasis group. After plasmid transfection, the mRNA and protein expression of WAVE3 increased significantly in the cells. Asiatic acid at different concentrations had an impact on cell apoptosis and invasion and could significantly inhibit the expression of WAVE3, P53, p-PI3K, p-AKT, and other proteins. The T/C(%) of asiatic acid (50 mg/kg) for MDA-MB-231(F10) xenografted tumor in nude mice was 46.33%, with a tumor inhibition rate of 59.55%. Asiatic acid could significantly inhibit the growth of MDA-MB-231 (F10) xenografted tumors in nude mice (p < 0.05). CONCLUSIONS: Asiatic acid interferes with the ability of breast cancer cells to invade and proliferate by inhibiting WAVE3 expression and activation and the mechanism of action may be related to the PI3K/AKT signaling pathway.

Atorvastatin inhibits pyroptosis through the lncRNA NEXN-AS1/NEXN pathway in human vascular endothelial cells.

BACKGROUND AND AIMS: Many clinical trials have demonstrated that statins convey protective effects against atherosclerosis independent of cholesterol-lowering capacities. Other evidence indicates that pyroptosis, a type of programmed cell death, is likely involved in atherosclerosis, but the effects and mechanisms of statins on pyroptosis must be further revealed. METHODS: Here, we explored the effects and mechanisms of atorvastatin on pyroptosis in human vascular endothelial cells by quantitative real-time polymerase chain reaction and Western blot analyses. RESULTS: Atorvastatin upregulated long non-coding RNA (lncRNA) NEXN-AS1 and the expression of NEXN at both the mRNA and protein levels in a concentration- and time-dependent manner. Atorvastatin inhibited pyroptosis by decreasing the expression levels of the canonical inflammasome pathway biomarkers NLRP3, caspase-1, GSDMD, IL-1ß, and IL-18 at both the mRNA and protein levels. The promotion effects of atorvastatin on NEXN-AS1 and NEXN expression could be significantly abolished by knockdown of lncRNA NEXN-AS1 or NEXN, and its inhibitory effects on pyroptosis were also markedly offset by knock-down of lncRNA NEXN-AS1 or interference of NEXN. CONCLUSIONS: These results demonstrated that atorvastatin regulated pyroptosis via the lncRNA NEXN-AS1-NEXN pathway, which provides a new insight into the mechanism of how atorvastatin promotes non-lipid-lower effects against the development of atherosclerosis and gives new directions on how to reverse atherosclerosis.

Microarray profiling analysis and validation of novel long noncoding RNAs and mRNAs as potential biomarkers and their functions in atherosclerosis.

Long noncoding (lnc)RNAs have been implicated in the development and progression of atherosclerosis. However, the expression and mechanism of action of lncRNAs in atherosclerosis are still unclear. We implemented microarray analysis in human advanced atherosclerotic plaques and normal arterial intimae to detect the lncRNA and mRNA expression profile. Gene Ontology functional enrichment and pathway analyses were applied to explore the potential functions and pathways involved in the pathogenesis of atherosclerosis. A total of 236 lncRNAs and 488 mRNAs were selected for further Ingenuity Pathway Analysis. Moreover, quantitative RT-PCR tests of most selected lncRNAs and mRNAs with high fold changes were consistent with the microarray data. We also performed ELISA to investigate the corresponding proteins levels of selected genes and showed that serum levels of SPP1, CD36, ATP6V0D2, CHI3L1, MYH11, and BDNF were differentially expressed in patients with coronary heart disease compared with healthy subjects. These proteins correlated with some biochemical parameters used in the diagnosis of cardiovascular diseases. Furthermore, receiver operating characteristic analysis showed a favorable diagnostic performance. The microarray profiling analysis and validation of differentially-expressed lncRNAs and mRNAs in atherosclerosis not only provide new insights into the pathogenesis of this disease but may also reveal new biomarkers for its diagnosis and treatment.

The binding of lncRNA RP11-732M18.3 with 14-3-3 ß/α accelerates p21 degradation and promotes glioma growth.

BACKGROUND: Long noncoding RNAs (lncRNAs) have been identified as regulators of a number of developmental and tumorigenic processes. However, the functions of most lncRNAs in glioma remain unknown and the mechanisms governing the proliferation of tumor cells remain poorly defined. METHODS: Both in vitro and in vivo assays were performed to investigate the roles of lncRNAs in the pathophysiology of gliomas. lncRNA arrays were used to identify differentially expressed lncRNAs. Subcutaneous tumor formation and a brain orthotopic tumor model in nude mice were used to investigate the functions of lncRNAs in vivo. The in vitro functions of lncRNAs were analyzed by fluorescence-activated cell sorting, colony formation, and western blot analyses. RNA fluorescence in situ hybridization and immunoprecipitation were used to explore the underlying mechanisms. FINDINGS: Here, we describe the newly discovered noncoding RNA RP11-732M18.3, which is highly overexpressed in glioma cells and interacts with 14-3-3ß/α to promote glioma growth, acting as an oncogene. Overexpression of lncRNA RP11-732 M18.3 was associated with the proliferation of glioma cells and tumor growth in vitro and in vivo. Remarkably, lncRNA RP11-732M18.3 promoted cell proliferation and G1/S cell cycle transition. lncRNA RP11-732M18.3 is predominately localized in the cytoplasm. Mechanistically, the interaction of lncRNA RP11-732M18.3 with 14-3-3ß/α increases the degradation of the p21 protein. lncRNA RP11-732M18.3 promoted the recruitment of ubiquitin-conjugating enzyme E2 E1 to 14-3-3ß/α and the binding of 14-3-3ß/α with ubiquitin-conjugating enzyme E2 E1 (UBE2E1) promoted the degradation of p21. INTERPRETATION: Overall these data demonstrated that lncRNA RP11-732M18.3 regulates glioma growth through a newly described lncRNA-protein interaction mechanism. The inhibition of lncRNA RP11-732M18.3 could provide a novel therapeutic target for glioma treatment.