Objective To investigate the alterations in metabolic molecules and pathways during epithelial-mesenchymal transition (EMT) in the lungs of mice induced by silica exposure. Methods A total of 30 specific pathogen-free male C57BL/6 mice were randomly divided into a control group and a silicosis model group. Mice were intratracheally instilled with 40 µL of either 0.9% sodium chloride solution or silica suspension at a mass concentration of 125 g/L. At 7, 14, and 28 days post-exposure, five mice from each group were sacrificed to evaluate lung histopathological changes. The mRNA expression of EMT-related genes was measured by real-time quantitative polymerase chain reaction. Untargeted metabolomics was used to identify metabolites in mouse lung tissues, and differential metabolites (DMs) and metabolic pathways were analyzed. Results Following silica exposure, lung tissues of mice in the silicosis model group showed progressively aggravated pathological changes, including increased inflammatory cell infiltration, thickening of alveolar walls, collagen deposition, and progressive pulmonary fibrosis, with typical silicotic nodules forming by day 28. The Ashcroft scores and the mRNA expression of cadherin (Cdh)2 and vimentin of mice in the silicosis model group increased (all P<0.05), along with decreased Cdh1 mRNA expression compared with the control group at all the three time points (all P<0.05). The Ashcroft scores and the mRNA expression of Cdh2 and vimentin of mice in the silicosis model group increased with the increase of observation time after silica exposure (all P<0.05), while mRNA expression of Cdh1 decreased (all P<0.05). Metabolomics analysis indicated that silica exposure specifically altered the expression of lipids and disrupted multiple metabolic pathways during EMT in lung tissues of silicosis model group mice,with glycerophospholipid metabolism being most obviously affected (P<0.05). Conclusion Silica exposure may induce EMT in mouse lung tissue, resulting in pulmonary fibrosis in a time-dependent manner. The underlying mechanism may be associated with silica-induced disturbances in glycerophospholipid metabolism in mouse lung tissue.

BACKGROUND:A large number of articles have reported the effect and mechanism of platelet-rich plasma and hydrogel in the treatment of spinal cord injury,but few articles have summarized their treatment strategies for spinal cord injury. OBJECTIVE:To summarize the pathological process of spinal cord injury and the strategies of repairing spinal cord injury with platelet-rich plasma and hydrogel alone and in combination. METHODS:PubMed and CNKI databases were searched for articles published from inception to March 2024 by computer.The Chinese search terms were"spinal cord injury,platelet-rich plasma,hydrogel."The English search terms were"spinal cord injury,spinal cord,platelet-rich plasma,hydrogel,angiogenesis,neuralgia,combination therapy."Articles were screened according to inclusion and exclusion criteria,and 128 articles were finally included for review and analysis. RESULTS AND CONCLUSION:(1)The classification of platelet-rich plasma is complex and diverse,and the effects of platelet-rich plasma in the repair treatment of spinal cord injury are various,but they all show certain positive effects,that is,they can promote axon regeneration,stimulate angiogenesis,and treat neuropathic pain and so on.(2)The effect of platelet-rich plasma is mainly due to the growth factors contained in platelet-rich plasma.(3)There are many types of hydrogels,which mainly play the role of filling,simulating extracellular matrix,carrying drugs and biological products,and carrying cells as scaffolds in the repair treatment of spinal cord injury.(4)Compared with single therapy,combination therapy of platelet-rich plasma and hydrogel can promote nerve regeneration and spinal cord function recovery more effectively.

Objective:To explore the clinical features and molecular characteristics of myeloproliferative neoplasms (MPNs) patients with NFE2 gene mutations.Methods:Gene targeted sequencing was used to detect NFE2 gene mutation in 723 patients diagnosed with MPNs who were admitted to Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College between April 2021 and June 2023. The association between NFE2 gene mutations and clinical features and molecular characteristics of MPNs patients were retrospectively analyzed.Results:Among 723 patients with MPNs, NFE2 gene mutations were found in 41 cases (5.7%) . NFE2 gene mutations were predominantly frameshift mutations (44.4%) , followed by nonsense mutations (33.3%) . The median number of mutations in patients with NFE2 gene mutations (4 [2,5]) was higher compared to the group without NFE2 gene mutations (2, [1,3]) ( P<0.001) . NFE2 gene mutations frequently co-occurred with mutations in MPL, ATM, PPM1D, and TET1. NFE2 gene mutations were mostly sub-clonal events, with 80.5% occurring after MPNs driver mutations (JAK2, CALR, or MPL) . NFE2 mutations were correlated with older age [median age: 60 (54, 67) years vs 54 (41, 63) years, P=0.001]. Patients with NFE2 gene mutations had a higher incidence of pre-diagnosis thrombosis (39.0% vs 22.0%, P=0.012) and pre-diagnosis arterial thrombosis (36.6% vs 20.4%, P=0.014) . Using a logistic regression analysis model adjusting for age and comorbidities (including chronic infections, malignancies, and autoimmune diseases) , NFE2 gene mutation was identified as an independent determinant of elevated tumor necrosis factor-alpha (TNF-α) ( OR=2.747, 95% CI: 1.143-6.605, P=0.024) , interferon-gamma (IFN-γ) ( OR=2.689, 95% CI: 1.191-6.076, P=0.017) , IL-10 ( OR=3.219, 95% CI: 1.343-7.717, P=0.009) , IL-12P70 ( OR=3.397, 95% CI:1.003-11.508, P=0.049) , IL-17 ( OR=2.284, 95% CI: 1.017-5.127, P=0.045) . In polycythaemia vera (PV) patients with the NFE2 gene mutation, the proportion of those classified as high-risk is notably higher in both the IWG-PV and mutation-enhanced international prognostic systems for PV (MIPSS-PV) (66.7% vs 25.3% for IWG-PV, P=0.033; 22.2% vs 2.0% for MIPSS-PV, P=0.013) . Similarly, for essential thrombocythaemia (ET) patients, the proportion in the high-risk group of the mutation-enhanced international prognostic systems for ET (MIPSS-ET) is significantly higher (15.4% vs 6.1%, P=0.021) . No statistically significant differences were observed in overall survival or cumulative incidence of thrombosis between NFE2-mutated (38 cases) and non-mutated MPNs patients (671 cases, P>0.05) . Conclusion:NFE2 gene mutations in MPNs were predominantly frameshift mutations. NFE2 gene mutations were correlated with older age, elevated levels of several inflammatory factors (including TNF-α、IFN-γ、IL-10、IL-12P70、IL-17) , and they mostly occurred in late-stage of MPNs.

Objective To explore the mechanism of the gut-lung axis in paraquat-induced lung injury in mice, with a focus on analyzing the changes in intestinal gene expression and their potential roles. Methods Specific pathogen-free C57BL/6 wild-type mice were randomly divided into control, low-dose, and high-dose groups, with 10 mice in each group. Mice in the three groups received a single intragastric administration of paraquat solution at doses of 0, 25, or 50 mg/kg body weight. The mice were euthanized on day 21. Lung histopathological changes were assessed, and the differentially expressed genes (DEGs) in the intestinal tissues of mice in these two groups were analyzed through transcriptomics. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to explore potential mechanisms of the gut-lung axis in paraquat-induced lung injury and fibrosis. Results Paraquat exposure induced dose-dependent pulmonary injury and fibrosis in the mice. The Ashcroft score of lung tissue was higher in the mice of low-dose group than that in the control group (P<0.05). Both the lung organ coefficient and Ashcroft score of lung tissues in the mice of high-dose group were higher than those in the control group and the low-dose group (all P<0.05). The result of transcriptomic analysis showed 146 DEGs, including 91 upregulated and 55 downregulated genes, in intestinal tissues of mice in the low-dose group, and 57 DEGs, including 47 upregulated and 10 downregulated genes in the high-dose group, compared with the control group. Notably, 19 DEGs were commonly altered in both low- and high-dose groups. The result of GO enrichment analysis showed that the DEGs were primarily involved in biological processes including "immune response", "oxidative stress" and "cell differentiation". The result of KEGG enrichment analyses showed that DEGs were primarily involved in key processes including "oxidative stress response path way", "immune response path way" and "digestion and absorption path way". Conclusion Paraquat exposure alters intestinal gene expression, particularly in genes in biological processes related to immune responses and oxidative stress. These changes may mediate inflammatory signaling via the gut-lung axis and contribute to the development of paraquat-induced pulmonary fibrosis.

The cellular and molecular components of the tumor immune microenvironment (TIME) and their information exchange processes significantly influence the trends of anti-tumor immunity. In recent years, numerous studies have begun to evaluate TIME in the context of previous cancer treatment strategies. This review will systematically summarize the compositional characteristics of TIME and, based on this foundation, explore the impact of current cancer therapies on the remodeling of TIME, aiming to provide new insights for the development of innovative immune combination therapies that can convert TIME into an anti-tumor profile.
Tumor Microenvironment/immunology* ; Humans ; Neoplasms/therapy* ; Immunotherapy/methods* ; Animals

Objective To explore the optimisation path of medical resource allocation efficiency improvement in Traditional Chinese Medicine (TCM) hospitals under the synergistic effect of multiple factors,so as to provide powerful support for the balanced development of medical resources in TCM hospitals.Methods The comprehensive efficiency of resource allocation in TCM hospitals in 31 provinces (cities and districts) of China obtained by Data Envelopment Analysis was taken as the outcome variable,and with the help of Fuzzy-set Qualitative Comparative Analysis,it examined the configurations of efficient medical resource allocation,considering the following conditional variables:per capital Regional GDP,the proportion of fiscal allocation revenue to total income,the ratio of TCM practicing (assistant) physicians to all practicing (assistant) physicians,the average length of hospital stay for discharged patients,the number of total diagnosis and treatments per thousand population,and the number of hospital beds per thousand population.Results By analyzing the conditional patterns of efficient allocation of medical resources in TCM hospitals,three equivalent driving paths can be summarized,which are comprehensive service capacity,TCM advantage and hospitalization driving paths.Conclusion The overall level of medical resource allocation efficiency of TCM hospitals in China needs to be improved.In the future,efforts should be made to improve the comprehensive service capacity and operational efficiency of hospitals,give full play to the advantages of TCM,build a high-quality TCM talent team,reasonably shorten the average hospital stay,and improve the utilization efficiency of hospital beds.

Objective To explore the optimisation path of medical resource allocation efficiency improvement in Traditional Chinese Medicine (TCM) hospitals under the synergistic effect of multiple factors,so as to provide powerful support for the balanced development of medical resources in TCM hospitals.Methods The comprehensive efficiency of resource allocation in TCM hospitals in 31 provinces (cities and districts) of China obtained by Data Envelopment Analysis was taken as the outcome variable,and with the help of Fuzzy-set Qualitative Comparative Analysis,it examined the configurations of efficient medical resource allocation,considering the following conditional variables:per capital Regional GDP,the proportion of fiscal allocation revenue to total income,the ratio of TCM practicing (assistant) physicians to all practicing (assistant) physicians,the average length of hospital stay for discharged patients,the number of total diagnosis and treatments per thousand population,and the number of hospital beds per thousand population.Results By analyzing the conditional patterns of efficient allocation of medical resources in TCM hospitals,three equivalent driving paths can be summarized,which are comprehensive service capacity,TCM advantage and hospitalization driving paths.Conclusion The overall level of medical resource allocation efficiency of TCM hospitals in China needs to be improved.In the future,efforts should be made to improve the comprehensive service capacity and operational efficiency of hospitals,give full play to the advantages of TCM,build a high-quality TCM talent team,reasonably shorten the average hospital stay,and improve the utilization efficiency of hospital beds.

Objective:To explore the clinical features and molecular characteristics of myeloproliferative neoplasms (MPNs) patients with NFE2 gene mutations.Methods:Gene targeted sequencing was used to detect NFE2 gene mutation in 723 patients diagnosed with MPNs who were admitted to Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College between April 2021 and June 2023. The association between NFE2 gene mutations and clinical features and molecular characteristics of MPNs patients were retrospectively analyzed.Results:Among 723 patients with MPNs, NFE2 gene mutations were found in 41 cases (5.7%) . NFE2 gene mutations were predominantly frameshift mutations (44.4%) , followed by nonsense mutations (33.3%) . The median number of mutations in patients with NFE2 gene mutations (4 [2,5]) was higher compared to the group without NFE2 gene mutations (2, [1,3]) ( P<0.001) . NFE2 gene mutations frequently co-occurred with mutations in MPL, ATM, PPM1D, and TET1. NFE2 gene mutations were mostly sub-clonal events, with 80.5% occurring after MPNs driver mutations (JAK2, CALR, or MPL) . NFE2 mutations were correlated with older age [median age: 60 (54, 67) years vs 54 (41, 63) years, P=0.001]. Patients with NFE2 gene mutations had a higher incidence of pre-diagnosis thrombosis (39.0% vs 22.0%, P=0.012) and pre-diagnosis arterial thrombosis (36.6% vs 20.4%, P=0.014) . Using a logistic regression analysis model adjusting for age and comorbidities (including chronic infections, malignancies, and autoimmune diseases) , NFE2 gene mutation was identified as an independent determinant of elevated tumor necrosis factor-alpha (TNF-α) ( OR=2.747, 95% CI: 1.143-6.605, P=0.024) , interferon-gamma (IFN-γ) ( OR=2.689, 95% CI: 1.191-6.076, P=0.017) , IL-10 ( OR=3.219, 95% CI: 1.343-7.717, P=0.009) , IL-12P70 ( OR=3.397, 95% CI:1.003-11.508, P=0.049) , IL-17 ( OR=2.284, 95% CI: 1.017-5.127, P=0.045) . In polycythaemia vera (PV) patients with the NFE2 gene mutation, the proportion of those classified as high-risk is notably higher in both the IWG-PV and mutation-enhanced international prognostic systems for PV (MIPSS-PV) (66.7% vs 25.3% for IWG-PV, P=0.033; 22.2% vs 2.0% for MIPSS-PV, P=0.013) . Similarly, for essential thrombocythaemia (ET) patients, the proportion in the high-risk group of the mutation-enhanced international prognostic systems for ET (MIPSS-ET) is significantly higher (15.4% vs 6.1%, P=0.021) . No statistically significant differences were observed in overall survival or cumulative incidence of thrombosis between NFE2-mutated (38 cases) and non-mutated MPNs patients (671 cases, P>0.05) . Conclusion:NFE2 gene mutations in MPNs were predominantly frameshift mutations. NFE2 gene mutations were correlated with older age, elevated levels of several inflammatory factors (including TNF-α、IFN-γ、IL-10、IL-12P70、IL-17) , and they mostly occurred in late-stage of MPNs.

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.

Objective:To evaluate the efficacy and safety of hybutimibe in the treatment of hypercholesterolemia.Methods:Relevant databases and clinical trial registration websites at home and abroad were searched (up to March 27, 2023), and randomized controlled trials (RCTs) of hybutimibe in the treatment of hypercholesterolemia have been collected. Patients in the trial group were given hybutimibe with or without other hypolipidemic agents, and those in the control group were given placebo or other hypolipidemic agents as same as that in the trial group. The primary outcome in effectiveness was the change rate of low-density lipoprotein cholesterol (LDL-C). The primary outcomes in safety were incidences of overall adverse events (AEs), serious AEs (SAEs), the trial termination due to AEs, and trial drug-related AEs. The secondary outcome in safety was incidence of the major AE reported in ≥ 2 trials. Meta-analysis was performed using RevMan 5.4 software. The effect sizes of counting data were expressed by the relative risk ( RR) and its 95% confidence interval ( CI). The effect sizes of measurement data were expressed by mean difference ( MD) and its 95% CI. Results:A total of 4 RCTs and 1 488 patients were entered in the analysis, including 952 patients in the trial group and 536 in the control group. The results of meta-analysis showed that at 8-12 weeks of treatment, the decrease rate of LDL-C in the trial group (hybutimibe 20 or 10 mg daily with or without atorvastatin 10 mg daily) was significantly greater than that in the control group (hybutimibe 20 mg daily: MD=-13.36%, 95% CI: -15.28% - -11.44%, P<0.001; hybutimibe 10 mg daily: MD=-10.80%, 95% CI: -14.90%- -6.71%, P<0.001); at 52 weeks of treatment, the average decrease rate (from baseline) of LDL-C in the trial group (hybutimibe 20 or 10 mg combined with atorvastatin 10 mg daily) was significantly greater than that in the control group with atorvastatin 10 mg daily monotherapy (-41.92% and -39.34% vs. -31.56%, all P<0.001); the incidences of overall AEs [47.94% (338/705) vs. 49.75% (202/406), RR=0.99, 95% CI: 0.87-1.12], SAEs[2.64% (16/606) vs. 2.79% (10/358), RR=1.19, 95% CI: 0.53-2.66], trial termination due to AEs[4.11% (29/705) vs. 4.68% (19/406), RR=0.67, 95% CI: 0.17-2.65], and trial drug-related AEs [12.38% (75/606) vs. 11.45% (41/358), RR=0.87, 95% CI: 0.37-2.06] were similar between the 2 groups at 8-12 weeks of treatment (all P>0.05). Conclusion:Hybutimibe could effectively reduce LDL-C level in patients with hypercholesterolemia, with good medication safety.