GLO1 regulates hepatocellular carcinoma proliferation and migration through the cell cycle pathway.

BACKGROUND: Hepatocellular carcinoma (HCC) is a malignant tumor characterized by a high mortality rate. The occurrence and progression of HCC are linked to oxidative stress. Glyoxalase-1 (GLO1) plays an important role in regulating oxidative stress, yet the underlying mechanism remains unclear. GLO1 may serve as a prognostic biomarker and therapeutic target for HCC. METHODS: Based on TCGA database hepatocellular carcinoma samples, we conducted a bioinformatics analysis to explore the correlation between GLO1 expression and HCC cell proliferation and viability. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis revealed that differentially expressed genes (DEGs) were mainly enriched in the cell cycle pathway. We analyzed the relationships between GLO1 and 24 genes enriched in the cell cycle pathway using a protein-protein interaction (PPI) network. Finally, experimental validation was performed to assess GLO1's impact on the distribution of cells at different cell cycle stages and on the proliferation and migration of HCC cells. RESULTS: Our study demonstrated that GLO1 was overexpressed in HCC tissues and was associated with a poor prognosis. Data analysis indicated that overexpression of GLO1 activated the cell cycle pathway and positively correlated with expression of the majority of key cell cycle genes. Experimental validation showed that GLO1 expression affects the number of HCC cells in G2 and S phases and regulates HCC cell proliferation and migration. CONCLUSIONS: GLO1 represents a promising therapeutic target for HCC, providing valuable insights into its role in the viability and proliferation of HCC cells.

Decoding the epitranscriptome: a new frontier for cancer therapy and drug resistance.

As the role of RNA modification in gene expression regulation and human diseases, the "epitranscriptome" has been shown to be an important player in regulating many physiological and pathological processes. Meanwhile, the phenomenon of cancer drug resistance is becoming more and more frequent, especially in the case of cancer chemotherapy resistance. In recent years, research on relationship between post-transcriptional modification and cancer including drug resistance has become a hot topic, especially the methylation of the sixth nitrogen site of RNA adenosine-m6A (N6-methyladenosine). m6A modification is the most common post-transcriptional modification of eukaryotic mRNA, accounting for 80% of RNA methylation modifications. At the same time, several other modifications of RNA, such as N1-methyladenosine (m1A), 5-methylcytosine (m5C), 3-methylcytosine (m3C), pseudouridine (Ψ) and N7-methylguanosine (m7G) have also been demonstrated to be involved in cancer and drug resistance. This review mainly discusses the research progress of RNA modifications in the field of cancer and drug resistance and targeting of m6A regulators by small molecule modulators, providing reference for future study and development of combination therapy to reverse cancer drug resistance.

Fatty liver is associated with significant liver inflammation and increases the burden of advanced fibrosis in chronic HBV infection.

BACKGROUND: Concurrent non-alcoholic fatty liver disease (NAFLD) is common in patients with chronic HBV infection. But the impact of fatty liver on the histologic progression of HBV infection remains controversial. METHODS: Consecutive HBV-infected patients who underwent liver biopsy between 2016 and 2021 were included. Alcohol consumption and other types of viral hepatitis were excluded. All biopsies were scored for grading and staging by Scheuer's score, and the steatosis was scored as an estimate of the percentage of liver parenchyma replaced by fat. Logistic regression analyses were applied to assess the associated factors for significant liver inflammation (G ≥ 2), significant fibrosis (S ≥ 2) and advanced fibrosis (S ≥ 3). RESULTS: Among the 871 HBV-infected patients, hepatic steatosis was prevalent in 255 patients (29.28%). Significant liver inflammation was present in 461 patients (52.93%). Significant fibrosis was observed in 527 patients (60.51%), while advanced liver fibrosis was observed in 171 patients (19.63%). Patients with concomitant NAFLD were more likely to have significant liver inflammation and advanced fibrosis. Fatty liver was an independent risk factor for significant liver inflammation (OR: 2.117, 95% CI: 1.500-2.988), but it could not predict the development of fibrosis. Especially, in HBV-infected patients with persistent normal ALT (immune tolerant and inactive carrier phase), the presence of significant liver inflammation was higher in NAFLD than those without NAFLD. The prevalence of advanced liver fibrosis was higher in NAFLD than non-NAFLD only in the immune tolerant phase, while NAFLD did not increase fibrosis burden in other stages of HBV infection. We developed a predictive model for significant liver inflammation with the area under receiver operating characteristic curve (AUROC) of 0.825, and a model for significant fibrosis with the AUROC of 0.760. CONCLUSIONS: NAFLD is independently associated with significant liver inflammation, and increases the burden of advanced liver fibrosis in HBV-infected patients. The influence of NAFLD on the degree of liver inflammation and fibrosis is different in distinct clinical phases of chronic HBV infection.

Identification of the Genetic Association Between Type-2-Diabetes and Pancreatic Cancer.

Type-2-diabetes (T2D) and pancreatic cancer (PC) are both common diseases globally. Although T2D is reported as the adverse factor for predicting PC prognosis, its pathophysiology and relation with PC remain unknown. This study focused on exploring differentially expressed genes (DEGs) as well as their functional roles in T2D and PC, aiming to reveal the underlying association between the T2D and PC. To identify DEGs in T2D and PC, this study analyzed four microarray datasets obtained from Gene Expression Omnibus (GEO) database. Then, this work carried out enrichment as well as protein-protein interaction (PPI) network analysis for exploring DEGs-enriched functions and pathway. Besides, expression of hub genes was explored. TISIDB database was adopted to analyze the correlations among key gene and immune characteristics. Finally, the key gene expression was confirmed in vitro. DEGs were first screened from gene expression profiles of T2D and PC datasets, respectively. Then 135 common genes were identified in these four datasets. Based on functional analysis, common DEGs were mostly related to hormone secretion and metabolism pathways. Four hub genes were up-regulated, among which, MAFB was the most significant potential biomarker for PC. MAFB expression was strongly correlated with chemokines, chemokine receptors and immunomodulators. Finally, RT-qPCR was conducted to demonstrate the MAFB expression in T2D and PC. This study identified 15 hub genes with significant effects on the association of T2D with PC, and MAFB gene might be a biomarker for PC and had potential treatment value for PC.

Agrimoniin is a dual inhibitor of AKT and ERK pathways that inhibit pancreatic cancer cell proliferation.

Molecular-targeted therapy has shown its effectiveness in pancreatic cancer, while single-targeted drug often cannot provide long-term benefit because of drug resistance. Fortunately, multitarget combination therapy can reverse drug resistance and achieve better efficacy. The typical treatment characteristics of traditional Chinese medicine monomer on tumor are multiple targets, with small side effects, low toxicity, and so forth. Agrimoniin has been reported to be effective on some cancers, while the mechanism still needs to be clarified. In this study, we used 5-ethynyl-2'-deoxyuridine, cell counting kit-8, flow cytometry, and western blot experiments to confirm that agrimoniin can significantly inhibit the proliferation of pancreatic cancer cell PANC-1 by inducing apoptosis and cell cycle arrest. In addition, by using SC79, LY294002 (the agonist or inhibitor of AKT pathway), and U0126 (the inhibitor of ERK pathway), we found that agrimoniin inhibited cell proliferation by simultaneously inhibiting AKT and ERK pathways. Moreover, agrimoniin could significantly increase the inhibitory effect of LY294002 and U0126 on pancreatic cancer cells. Meanwhile, in vivo experiments also supported the above results. In general, agrimoniin is a double-target inhibitor of AKT and ERK pathways in pancreatic cancer cells; it is expected to be used as a resistance reversal agent of targeted drugs or a synergistic drug of the inhibitor of AKT pathway or ERK pathway.

Formulation of Silk Fibroin Nanobrush-Stabilized Biocompatible Pickering Emulsions.

Silk fibroin is widely believed to be sustainable, biocompatible, and biodegradable, providing promising features such as carriers to deliver drugs and functional ingredients in food, personal care, and biomedical areas, which are consistent with emulsion characteristics; especially, green, all-natural biopolymer-based stabilizers are in great demand to stabilize Pickering emulsions and match the multifunctional needs for developing ideal materials. Herein, an unprecedented three-dimensional (3D) nanostructure, namely a brush-like silk nanobrush (SNB), is applied as the stabilizer to formulate and stabilize Pickering emulsions. The size and interfacial tension are compared among the SNB, a regenerated silk nanofiber, and a nanowhisker. Additionally, optimization processes are conducted to determine the ideal ultrasonication intensity and SNB concentration required to prepare Pickering emulsions by analyzing the morphology, creaming index, mean oil droplet size, and rheological behavior. The results indicate that an SNB with the characteristic structure and suitable size shows superior potential to form sophisticated and interconnected networks in oil-water interfaces, and is proved to be able to resist creaming at a wide range of concentrations and subsequently stabilize Pickering emulsions from liquid-like emulsions to gel-like emulsions. Additionally, SNB is proved to be biocompatible according to cell experiments, providing a promising alternative in designing all-natural, green, and biocompatible emulsions with the aim of efficiently delivering nutrients or drugs associated with health benefits.

FabricatingZ-scheme C-doped TiO2/rGO nanocomposites for enhanced photocatalytic NO removal.

It is attractive to explore practical approaches to optimize the photodegraded NO property of TiO2. Herein, a typicalZ-shaped heterojunction C-TiO2/rGO composed of carbon-doped TiO2and reductive graphene oxide (rGO) was constructed to optimize the NO removal efficiency through anin situone-pot hydrothermal process with glucose as reductant and dopant. The C-TiO2/rGO (0.11%) composite displays a remarkable NO removal performance of 40.6% under visible light illumination. It was found that the C-TiO2nanoparticles were tightly attached to the rGO sheets and had strong interactions with rGO, which induced a positive impact on not only the light absorption and photo-generated charge separation but also the NO adsorption and reactive oxygen species formation, resulting in boosted photodegrade NO activity. As to the photodegrade NO process over the C-TiO2/rGO, the HO•and O2•-were the dominant radicals, of which the O2•-radical originated from the interactions between C-TiO2and rGO. We proposed aZ-scheme mechanism to illuminate the advanced photocatalytic activity of C-TiO2/rGO. This work affords an approach to developing effective photocatalysts in the NO purification field.

Chemical composition, sources and optical properties of nitrated aromatic compounds in fine particulate matter during winter foggy days in Nanjing, China.

Functionalized aromatic compounds are one of the most important light-absorbing organic chromophores - so-called brown carbon (BrC) - in fine particulate matter (PM2.5). In this study, we conducted a wintertime field campaign to measure eight nitrated aromatic compounds (NACs) in PM2.5 with offline analysis techniques, including liquid chromatograph mass spectrometer (LC-MS) and aerodyne high-resolution aerosol mass spectrometer (AMS) measurements, during foggy and nonfoggy days in suburban Nanjing in the Yangtze River Delta region, China. On average, 4-nitrophenol could be one of the most important light absorbing materials in the observed BrC, which accounted for over 40% of the mass concentration of identified chromophores. The mass concentration of 2-methyl-4-nitrophenol and 2,6-dimethyl-4-nitrophenol were evidently increased during foggy days, contribution of which to total NACs were increased by 10% and 5%, respectively. Positive matrix factorization analysis of combining LC-MS and AMS dataset was performed to identify the primary and secondary sources of NACs. Primary sources, e.g., traffic and solid-fuel combustion, accounted for 71% of the sum of 4-nitrophenol, 2,6-dimethyl-4-nitrophenol and 3-nitrosalicylic acid, suggesting important contribution of primary emissions to these NACs. The contribution of secondary sources, associated with two oxygenated organic aerosols, could contribute 66% to 4-nitrophenol, reflecting the link of such nitrated aromatic compounds to secondary organic aerosol source. Together with optical measurements, 4-nitrophenol presented a high contribution (>50%) to the identified BrC absorbance in the light range 250 and 550 nm was observed. This could highlight an important role of such NACs in ambient BrC light absorption, despite its mass contribution to total organic carbon was negligible. Our work could improve the understanding of the links between optical properties and chemical composition of BrC, and the difference between BrC chromophores from nonfoggy days and foggy days under the typical polluted atmospheric conditions.

Effectiveness of a multicomponent exercise program to reverse pre-frailty in community-dwelling Chinese older adults: a randomised controlled trial.

BACKGROUND: the Xiangya Hospital circuit training (X-CircuiT), was developed to reverse pre-frailty in Chinese older adults and determine potential mechanisms through which pre-frailty is reversed. METHODS: this randomised controlled trial was performed at Xiangya Hospital, Changsha, China from September 2020 to May 2021. Forty-eight pre-frail older adults were enrolled. Participants were randomly assigned (1:1) to X-CircuiT (46 min/session, three supervised sessions/week for 3 months at a community health centre) or control (1-time advice on physical activity without supervised exercise). The primary outcome was the proportion of participants with pre-frailty after 3-month intervention. The secondary outcomes included absolute risk reduction (ARR), number needed to treat (NNT), and the changes in senior fitness, body composition and clinical measures. RESULTS: among 48 participants (mean age, 72 years; women [65%]), 22 participants in the X-CircuiT (92%) and 21 participants in the control (88%) completed the study. After 3 months, the proportion of pre-frailty was significantly lower in the X-CircuiT group than the control (14% versus 95%, P < 0.001). The ARR and NNT were 82% [95% CI, 65-99] and 1 [1-2], respectively. X-CircuiT was associated with significant improvements in senior fitness indicators and body composition. No significant difference in blood chemistry, carotid ultrasound and echocardiography parameters was found between groups. No significant interaction was detected between sex, BMI, baseline peak oxygen consumption and study groups. CONCLUSION: this study demonstrates that X-CircuiT could significantly reverse pre-frailty in Chinese older adults. The underlying mechanisms may involve X-CircuiT-induced improvements in body composition and senior fitness.The trial is registered at Chictr.org.cn. Number: ChiCTR2100048125.

Changes of BKCA current and vascular reactivity in vascular smooth muscle of thoracic aorta and mesenteric artery in type 2 diabetic rats.

The relationship between large conductance calcium activated potassium channel (BKCa) and vascular lesions in type 2 diabetes mellitus (T2DM) was investigated by observing vascular reactivity of thoracic aorta and mesenteric artery and the current changes of BKCa in vascular smooth muscle cells (VSMCs). The thoracic aorta and mesenteric artery of T2DM rats were isolated, the whole cell perforated patch clamp experiment and single channel patch clamp experiment of acute enzyme separation of thoracic aorta and mesenteric artery smooth muscle cells were performed to measure the membrane capacitance and the amplitude of macro current. And the vascular ring experiment was performed to observe the change of relaxation percentage. The results showed that the amplitude of BKCa current in vascular smooth muscle cells of diabetic rats was higher than that of the control group. The channel current had outward rectifying characteristics. BKCa is related to vascular reactivity and smooth muscle relaxation in T2DM rats. The opening probability of BKCa in VSMCs of diabetic rats was significantly increased. This study suggests that BKCa may be a new target for diabetic vascular disease.

LncRNA H19 suppresses pyroptosis of cardiomyocytes to attenuate myocardial infarction in a PBX3/CYP1B1-dependent manner.

OBJECTIVE: Myocardial infarction (MI) is a major cause of cardiovascular disease which poses great healthy and financial burden for individuals. MI can be mainly induced by hypoxia. Therefore, in this study, we aimed to explore the function and mechanism of lncRNA H19 on hypoxia-induced pyroptosis of cardiomyocytes. METHOD: Peripheral blood from healthy controls and MI patients was collected for determination of mRNA and protein expression levels of H19 and CYP1B1. The correlation between these two factors was analyzed. Then MI rat model was established and injected with H19 overexpression/CYP1B1 knockdown plasmid, in which the infraction area and pathological morphology were observed. Hypoxic cardiomyocytes were transfected with overexpression or knockdown of H19 and CYP1B1 for determination of NLRP3, ASC, caspase-1, IL-1ß, IL-18, CyclinD1, and PCNA. Cell proliferation ability was assessed by CCK8. RIP and dual luciferase gene reporter assay were applied to verify the binding among H19, PBX3 and CYP1B1. RESULTS: Downregulated H19 and upregulated CYP1B1 were observed in MI patients. A negative correlation was found for H19 and CYP1B1 expressions. Transfection of H19 overexpression or CYP1B1 knockdown could attenuate the MI progression in MI rats. In hypoxic cardiomyocytes, H19 overexpression or CYP1B1 knockdown could also inhibit NLRP3, ASC, caspase-1, IL-1ß, and IL-18 in addition to suppressing cell apoptosis rate and promoting cell proliferation rate. Different expression pattern was found in cells transfected with H19 knockdown or CYP1B1 overexpression. Overexpression of CYP1B1 could abrogate the suppressive effect of H19 on pyroptosis of cardiomyocytes. H19 could inhibit activity of CYP1B1 promoters by regulating PBX3. CONCLUSION: H19 could inhibit CYP1B1 expression in a PBX3-dependent way and thus attenuate cell pyroptosis of cardiomyocytes.

The distinct roles of exosomes in tumor-stroma crosstalk within gastric tumor microenvironment.

Gastric cancer (GC) development is a complex process displaying polytropic cell and molecular landscape within gastric tumor microenvironment (TME). Stromal cells in TME, including fibroblasts, endothelial cells, mesenchymal stem cells, and various immune cells, support tumor growth, metastasis, and recurrence, functioning as the soil for gastric tumorigenesis. Importantly, exosomes secreted by either stromal cells or tumor cells during tumor-stroma crosstalk perform as crucial transporter of agents including RNAs and proteins for cell-cell communication in GC pathogenesis. Therefore, given the distinct roles of exosomes secreted by various cell types in GC TME, increasing evidence has indicated that exosomes present as new biomarkers for GC diagnosis and prognosis and shed light on novel approaches for GC treatment.

Handheld pH meter-assisted immunoassay for C-reactive protein using glucose oxidase-conjugated dendrimer loaded with platinum nanozymes.

A simple and feasible pH meter-based immunoassay is reported for detection of C-reactive protein (CRP) using glucose oxidase (GOD)-conjugated dendrimer loaded with platinum nanozyme. Initially, platinum nanozymes were loaded into the dendrimers through an in situ synthetic method. Then, GOD and monoclonal anti-CRP antibody with a high molar ratio were covalently conjugated onto carboxylated dendrimers via typical carbodiimide coupling. The immunoreaction was carried out with a competitive mode in a CRP-coated microplate. Along with formation of immunocomplex, the added glucose was oxidized into gluconic acid and hydrogen peroxide by GOD, and the latter was further decomposed by platinum nanozyme, thus accelerating chemical reaction in the positive direction. The produced gluconic acid changed the pH of detection solution, which was determined using a handheld pH meter. Under optimum conditions, the pH meter-based immunoassay gave a good signal toward target CRP from 0.01 to 100 ng mL-1. The limit of detection was 5.9 pg mL-1. An intermediate precision ≤ 11.2% was acquired with batch-to-batch identification. No nonspecific adsorption was observed during a series of procedures to detect target CRP, and the cross-reaction against other biomarkers was very low. Importantly, our system gave well-matched results for analysis of human serum samples relative to a referenced ELISA kit.Graphical abstract.

Changes of air quality and its associated health and economic burden in 31 provincial capital cities in China during COVID-19 pandemic.

With outbreak of the novel coronavirus disease (COVID-19), immediate prevention and control actions were imposed in China. Here, we conducted a timely investigation on the changes of air quality, associated health burden and economic loss during the COVID-19 pandemic (January 1 to May 2, 2020). We found an overall improvement of air quality by analyzing data from 31 provincial cities, due to varying degrees of NO2, PM2.5, PM10 and CO reductions outweighing the significant O3 increase. Such improvement corresponds to a total avoided premature mortality of 9410 (7273-11,144) in the 31 cities by comparing the health burdens between 2019 and 2020. NO2 reduction was the largest contributor (55%) to this health benefit, far exceeding PM2.5 (10.9%) and PM10 (23.9%). O3 instead was the only negative factor among six pollutants. The period with the largest daily avoided deaths was rather not the period with strict lockdown but that during February 25 to March 31, due to largest reduction of NO2 and smallest increase of O3. Southwest, Central and East China were regions with relatively high daily avoided deaths, while for some cities in Northeast China, the air pollution was even worse, therefore could cause more deaths than 2019. Correspondingly, the avoided health economic loss attributable to air quality improvement was 19.4 (15.0-23.0) billion. Its distribution was generally similar to results of health burden, except that due to regional differences in willingness to pay to reduce risks of premature deaths, East China became the region with largest daily avoided economic loss. Our results here quantitatively assess the effects of short-term control measures on changes of air quality as well as its associated health and economic burden, and such information is beneficial to future air pollution control.

Kaempferol potentiates the sensitivity of pancreatic cancer cells to erlotinib via inhibition of the PI3K/AKT signaling pathway and epidermal growth factor receptor.

Erlotinib (ERL) is an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) of pancreatic cancer (PC). However, the clinical efficacy of ERL is limited due to the activation of alternative pathways that bypass the EGFR signaling. Kaempferol (KAE), a natural flavonoid compound, has been reported to possess potent anti-tumor and anti-inflammatory properties, and in this study, we aimed at identifying the sensitization effect of KAE on ERL monotherapy in PC cells and mouse models. Briefly, the CCK-8, colony formation, and flow cytometry were used to assess the proliferation and apoptosis of two PC cell lines in response to a treatment combination of KAE and ERL. Additionally, the drug-disease targets and related anti-PC mechanisms of KAE and ERL were predicted with a network pharmacology method. The survival outcome for PC patients with EGFR differential expression was evaluated through survival analysis. The molecular docking technique predicted the affinity between KAE and EGFR. Moreover, western blot (WB) and immunohistochemistry (IHC) analyses were applied to verify the expression levels of related proteins. As a result, in vitro results showed that the combination of KAE and ERL significantly inhibited cell proliferation and promoted cell apoptosis compared to that with ERL alone. Network pharmacology results demonstrated that KAE sensitized PC to ERL treatment may likely be related to the PI3K/AKT signaling pathway and EGFR TKI resistance. Survival analysis illustrated that PC patients with high expression of EGFR had a relative lower survival rate. Molecular docking results further suggested that KAE had a high binding affinity of - 8.9 kcal/mol with EGFR. WB results indicated that the combination of KAE and ERL dramatically downregulated the expression levels of p-EGFR, p-AKT, p-ERK1/2, and Bcl-2, and upregulated the expression levels of cleaved caspase-9, cleaved PARP, and Bax. The in vivo results revealed that treatment combination of KAE and ERL further reduced the volume and weight of subcutaneous grafted tumors. IHC results confirmed the WB results. These data imply that KAE may be a valid therapeutic candidate to potentiate PC cell sensitivity to ERL via inhibiting PI3K/AKT and EGFR signaling.

Study on metastasis inhibition of Kejinyan decoction on lung cancer by affecting tumor microenvironment.

BACKGROUND: Kejinyan decoction, as an experienced formula of Zhou Zhongying (the Master of Traditional Chinese Medicine) has been widely used in clinic for lung cancer treatment in China, while the anti-lung cancer mechanism of it is still remained to be elucidated. Herein, our basic study found that the survival of lung cancer xenograft mice was significantly prolonged after intragastrically administered high dose of Kejinyan decoction (3.8 g per kg BW) for 15 days. More importantly, we found that Kejinyan decoction inhibited the metastasis of lung cancer cells in vivo. Thus in this study, we aim to elucidate the anti-metastasis effects of Kejinyan decoction. METHODS: RNA-Seq was used to find out the gene regulation of Kejinyan decoction on the mice, flow cytometry assay was used to detect the immunocytes in the spleen, ELISA assay was used to detect the inflammatory factors in the serum and spleen, and immunofluorescence assay was used to detect the level of immune cells and the expression of glycol-metabolism related enzymes in situ. Also, we established a lung cancer orthotopic xenograft tumor model to assess the influence of Kejinyan decoction on the metastatic ability of lung cancer cells in vivo. RESULTS: GO analysis of gene sequencing of tumor tissue samples showed that Kejinyan decoction regulated immune response. Further flow cytometry analysis of splenic lymphocyte showed that Kejinyan decoction upregulated M1 macrophages and downregulated M2 macrophages, while the total level of macrophages changed little, which was verified by detection of CD68, F4/80, CD206, and CD86 in tumor tissue section. Moreover, detection of inflammatory cytokines showed that Kejinyan decoction downregulated TNF-α, IFN-γ, IL-6, as well as IL-4, IL-13 in tumor microenvironment. Further studies also showed that Kejinyan decoction had little effect on tumor hypoxia, but downregulated glycolysis in tumor tissues. More importantly, we found that Kejinyan decoction inhibited the metastasis of lung cancer cells in vivo. CONCLUSION: Our findings conclude that Kejinyan decoction inhibited lung cancer cell metastasis through affecting macrophage polarization and energy reprogramming.

Equity and efficiency of health care resource allocation in Jiangsu Province, China.

BACKGROUND: Jiangsu was one of the first four pilot provinces to engage in comprehensive health care reform in China, which has been on-going for the past 5 years. This study aims to evaluate the equity, efficiency and productivity of health care resource allocation in Jiangsu Province using the most recent data, analyse the causes of deficiencies, and discuss measures to solve these problems. METHODS: Data were extracted from the Jiangsu Health/Family Planning Statistical Yearbook (2015-2019) and Jiangsu Statistical Yearbook (2015-2019). The Gini coefficient (G), Theil index (T) and health resource density index (HRDI) were chosen to study the fairness of health resource allocation in Jiangsu Province. Data envelopment analysis (DEA) and the Malmquist productivity index (MPI) were used to analyse the efficiency and productivity of this allocation. RESULTS: From 2014 to 2018, the total amount of health resources in Jiangsu Province increased. The G of primary resource allocation by population remained below 0.15, and that by geographical area was between 0.14 and 0.28; additionally, the G of health financial resources was below 0.26, and that by geographical area was above 0.39. T was consistent with the results for G and Lorenz curves. The HRDI shows that the allocated amounts of health care resources were the highest in southern Jiangsu, except for the number of health institutions. The average value of TE was above 0.93, and the DEA results were invalid for only two cities. From 2014 to 2018, the mean TFPC in Jiangsu was less than 1, and the values exceeded 1 for only five cities. CONCLUSION: The equity of basic medical resources was better than that of financial resources, and the equity of geographical allocation was better than that of population allocation. The overall efficiency of health care resource allocation was high; however, the total factor productivity of the whole province has declined due to technological regression. Jiangsu Province needs to further optimize the allocation and increase the utilization efficiency of health care resources.

CYP2C9, a Metabolic CYP450s Enzyme, Plays Critical Roles in Activating Ellagic Acid in Human Intestinal Epithelial Cells.

BACKGROUND The metabolic processing of ellagic acid (EA) by cytochrome P450s (CYP450s) expressed in the intestines is unclear. This study aimed to investigate the effects of CYP450s that are highly expressed in HIEC cells on metabolic activity of EA. MATERIAL AND METHODS HIEC cell models expressing 2B6, 2C9, 2D6, and 3A4 were generated by stably transfecting with CYP450 genes using a lentivirus system. PCR and Western blot assay were used to detect expression of CYP450s. Cell Counting Kit-8 (CCK-8) assay was used to examine the cytotoxic effect of EA on CYP450s-expressing HIEC cells. Flow cytometry was employed to evaluate apoptosis of CYP450s-expressing HIEC cells after addition of EA. Metabolic clearance rate of EA in vitro by the constructed HIEC cell models was measured using UPLC-MS method. RESULTS CYP450s expression HIEC cell models, including CYP2B6, CYP2C9, CYP2D6, and CYP3A4, were successfully established. EA treatment at different concentrations (10 µg/mL and 50 µg/mL) remarkably decreased cell viability of HIEC cells expressing CYP2C9 compared to the untreated control (p<0.01), in a concentration-dependent and time-dependent manner. Expression of CYP2C9 significantly increased the apoptosis rate of HIEC cells treated with EA compared to that in HIEC cells without any CYP450s expression (p<0.01). The clearance rate of EA in CYP2B6-expressing (p<0.05) and CYP2C9-expressing (p<0.001) HIEC cell models was remarkably reduced after 120 min. CONCLUSIONS Ellagic acid was effectively activated by CYP2C9 in HIEC cells and caused cytotoxicity and apoptosis of HIEC cells. Therefore, CYP2C9 is main metabolic enzyme of EA when compared to other CYP450 HIEC cell models.

Machine Learning for Long Cycle Maintenance Prediction of Wind Turbine.

Within Internet of Things (IoT) sensors, the challenge is how to dig out the potentially valuable information from the collected data to support decision making. This paper proposes a method based on machine learning to predict long cycle maintenance time of wind turbines for efficient management in the power company. Long cycle maintenance time prediction makes the power company operate wind turbines as cost-effectively as possible to maximize the profit. Sensor data including operation data, maintenance time data, and event codes are collected from 31 wind turbines in two wind farms. Data aggregation is performed to filter out some errors and get significant information from the data. Then, the hybrid network is built to train the predictive model based on the convolutional neural network (CNN) and support vector machine (SVM). The experimental results show that the prediction of the proposed method reaches high accuracy, which helps drive up the efficiency of wind turbine maintenance.

Clinical characteristics and prognostic factors of liver cirrhosis patients with systemic inflammatory response syndrome.

AIM: Our objective is to study the clinical characteristics of cirrhosis patients with SIRS and investigate its prognostic factors. METHODS: We analyzed 285 consecutive patients and their data were evaluated retrospectively. Data were compared in patients with/without SIRS during hospitalization. Univariate and multivariate Cox regression analyses were undertaken separately for cirrhotic patients with SIRS to assess predictive factors for 90-day mortality. RESULTS: The mortality was 38.24% (52/136) in patients with SIRS and 6.04% (9/149) in patients without SIRS for 90-day follow-up (P < 0.001). The univariate analysis showed gastrointestinal hemorrhage (P < 0.001), hepatic encephalopathy (P < 0.001), albumin <30 g/L (P < 0.037), creatinine (Cr) >175 µmol/L (P < 0.001), cholinesterase(ChE) activity <3000 U/L (P = 0.019), white blood cell count ≥10 000 (109/L) (P = 0.018), neutrophils ≥80% (P = 0.018), C-reactive protein (CRP) ≥25 mg/L (P < 0.001), procalcitonin ≥1.0 ng/mL (P = 0.007), Child-Pugh class C (P < 0.001), septicemia (P < 0.001), pulmonary infection (P < 0.001),multi-site infection (P = 0.001), acute-on-chronic liver failure (ACLF) (P < 0.001), and advanced hepatocellular carcinoma (HCC) (P < 0.001). In multivariate analysis, only Cr ≥175 µmol/L (hazard ratio [HR] = 2.768; confidence interval [CI], 1.53-5.04; P = 0.001), C-reactive protein ≥25 mg/L (HR = 3.179; CI, 1.772-7.03; P = 0.004), multi-site infection (HR = 19.427; CI, 7.484-50.431; P < 0.001), ACLF (HR = 7.308; CI, 3.048-17.521; P < 0.001), advanced HCC (HR = 2.523; CI, 1.019-6.248; P = 0.045) were independent predictors of 90-day mortality in cirrhotic patients with SIRS. CONCLUSION: Cr ≥ 175 µmol/L, CRP ≥ 25 mg/L, multi-site infection, ACLF, and advanced HCC independently predicted a higher rate of 90-day mortality in liver cirrhosis with SIRS.