Histone deacetylase 3 (HDAC3) is an epigenetic modification enzyme that plays a crucial role in the development and progression of diabetes and its complications. Studies have reported that increased HDAC3 activity is associated with pancreatic β-cell dysfunction in type 1 diabetes, while in type 2 diabetes, HDAC3 affects insulin resistance and signaling by regulating the metabolism of the liver, adipose tissue, and muscle. Additionally, HDAC3 plays a key role in diabetic complications such as cardiomyopathy, retinopathy, and nephropathy. Selective inhibition of HDAC3 has the potential to improve insulin sensitivity, reduce chronic inflammation, and enhance pancreatic cell function, offering a promising new therapeutic strategy for diabetes and its complications.

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To analyze the treatment efficacy, safety and dose parameters of optimized hippocampus-avoidance prophylactic cranial irradiation (HA-PCI) in limited-stage small cell lung cancer (LS-SCLC) and explore the corresponding dosimetric parameters under the condition of narrowing the hippocampus avoidance region as hippocampus region plus 2 mm in three dimensions.Methods:Clinical data of patients with LS-SCLC receiving HA-PCI (hippocampus avoidance region defined as hippocampus region plus 2 mm in three dimensions) in Cancer Hospital Chinese Academy of Medical Sciences from August 2014 to June 2020 were retrospectively analyzed. Dose parameters of HA-PCI and adverse events were analyzed using descriptive statistics analysis. Changes of neurocognitive function, such as mini-mental state examination (MMSE) and Hopkins verbal learning test-revised (HVLT-R) scores, were evaluated by analysis of variance and Kruskal-Wallis H test. Overall survival (OS), progression-free survival (PFS) and intracranial PFS (iPFS) were calculated using Kaplan-Meier method. The cumulative incidence of local-regional recurrence (LRR), extracranial distant metastases (EDM), and locoregional recurrence (LR) were investigated under competing risk analysis. Results:A total of 112 patients were included, the median follow-up time was 50 months (95% CI: 45.61-54.38). The median volume of hippocampus was 4.85 ml (range: 2.65-8.34 ml), with the average dose ≤9 Gy in 106 patients (94.6%), ≤8 Gy in 92 patients (82.1%). The median volume of hippocampus avoidance area was 15.00 ml (range: 8.61-28.06 ml), with the average dose ≤12 Gy in 109 patients (97.3%), ≤10 Gy in 101 patients (90.2%). The 2-year cumulative LRR, EDM, LR rates were 16.9%, 23.2% and 28.5%, respectively. The 5-year cumulative LRR, EDM, LR rates were 23.2%, 26.9% and 33.3%, respectively. The 2-year iPFS, PFS and OS rates were 66.1% (95% CI: 57.9%-75.4%), 53.6% (95% CI: 45.1%-63.7%) and 80.4% (95% CI: 73.3%-88.1%), respectively. The most common grade I-Ⅱ adverse events were nausea (33.9%) and dizziness (31.3%), and only 1 patient developed grade Ⅲ nausea and dizziness. MMSE ( n=57) and HVLT-R tests ( n=56) showed no significant decline. Conclusions:Optimized HA-PCI can achieve similar dose limitation with favorable efficacy and light toxicity. No significant decline is observed in short-term neurocognitive function in evaluable patients.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

Objective:To analyze the changes in the income structure of public hospitals at all levels in Hebei Province,evaluate the effectiveness of the compensation mechanism reform in public hospitals of Hebei Province,and provide policy recommendations for optimizing the compensation mechanism.Methods:Select some public hospitals at all levels in Hebei Province as samples,and use structural change analysis to analyze the income structure of the sample hospitals.Result:From 2016 to 2021,the proportion of medical income in tertiary and primary hospitals increased by 2.6 and 9.8 percentage points respectively,while the proportion of medical income in secondary hospitals decreased by 0.6 percentage points.The proportion of consumables revenue in hospitals at all levels has increased,and drug revenue remains the main driving factor for the growth of medical revenue in hospitals at all levels.The contribution rate of drug revenue to the growth of medical revenue in tertiary hospitals is 50％.Conclusion:The optimization of medical income structure in public hospitals in Hebei Province is significant,but the compensation mechanism still needs to be further improved,and the income structure still needs further adjustment.On the basis of consolidating and improving the policy of canceling consumable markup,it is needed to further standardize medical service behavior,improve precise and sustainable financial compensation mechanisms,adjust medical service prices,and broaden financing channels.

G protein-coupled receptor (GPR) 40, as one of GPRs family, plays a potential role in regulating glucose and lipid metabolism. To study the effect of GPR40 novel agonist SZZ15-11 on hyperglycemia and hyperlipidemia and its potential mechanism, spontaneous type 2 diabetic KKA^y mice, human hepatocellular carcinoma HepG2 cells and murine mature adipocyte 3T3-L1 cells were used. KKA^y mice were divided into four groups, vehicle group, TAK group, SZZ (50 mg·kg^-1) group and SZZ (100 mg·kg^-1) group, with oral gavage of 0.5% sodium carboxymethylcellulose (CMC), 50 mg·kg^-1 TAK875, 50 and 100 mg·kg^-1 SZZ15-11 respectively for 45 days. Fasting blood glucose, blood triglyceride (TG) and total cholesterol (TC), non-fasting blood glucose were tested. Oral glucose tolerance test and insulin tolerance test were executed. Blood insulin and glucagon were measured via enzyme-linked immunosorbent assay (ELISA). After mice′s execution, liver tissue was harvested to test TG and TC content. Then pathological morphology of liver was observed through hematoxylin-eosin (HE) staining, and the lipid metabolism relative signal pathway was analyzed by Western blot and RT-PCR. The experiments were approved by the Institutional Animal Care and Use Committee of the Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College. At the same time, Akt phosphorylation level in HepG2 cells and adiponectin in 3T3-L1 cells treated with TNFα were measured with Western blot. The results show that SZZ15-11 not only decreased blood glucose and lipid, improved insulin sensitivity, but also increased fasting blood glucagon and promoted insulin secretion after glucose loading in KKA^y mice. Additionally, SZZ15-11 alleviated hepatic steatosis and liver dysfunction in KKA^y mice. In liver tissue, SZZ15-11 increased AMPKα phosphorylation level and cholesterol metabolism relative gene Abcg8 transcription. In HepG2 cells, SZZ15-11 increased Akt phosphorylation level. In adipocyte 3T3-L1, SZZ15-11 recovered the decreased adiponectin expression by TNFα. This study proved that GPR40 agonist SZZ15-11 could be a candidate compound for regulating glucolipid metabolic disorder.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.

Objective:To analyze the changes in the income structure of public hospitals at all levels in Hebei Province,evaluate the effectiveness of the compensation mechanism reform in public hospitals of Hebei Province,and provide policy recommendations for optimizing the compensation mechanism.Methods:Select some public hospitals at all levels in Hebei Province as samples,and use structural change analysis to analyze the income structure of the sample hospitals.Result:From 2016 to 2021,the proportion of medical income in tertiary and primary hospitals increased by 2.6 and 9.8 percentage points respectively,while the proportion of medical income in secondary hospitals decreased by 0.6 percentage points.The proportion of consumables revenue in hospitals at all levels has increased,and drug revenue remains the main driving factor for the growth of medical revenue in hospitals at all levels.The contribution rate of drug revenue to the growth of medical revenue in tertiary hospitals is 50％.Conclusion:The optimization of medical income structure in public hospitals in Hebei Province is significant,but the compensation mechanism still needs to be further improved,and the income structure still needs further adjustment.On the basis of consolidating and improving the policy of canceling consumable markup,it is needed to further standardize medical service behavior,improve precise and sustainable financial compensation mechanisms,adjust medical service prices,and broaden financing channels.

Objective:To explore the scientificity of the public hospital liability policy governance from the perspective of policy tools,and to provide evidence for the optimization and adjustment of subsequent policies.Methods:Policy texts at the national and regional levels from 2009-2022 were selected,and the coding results were statistically analyzed using Excel 2019 based on Rothwell and Zegveld's classification of policy tools.Results:A total of 128 policy texts were included in the analysis,with 29.96%,34.16%,and 35.88%of the policy tools in the policy instrument dimension being demand-based,supply-based,and environment-based,respectively.The system mechanism dimension focused primarily on compensation mechanisms.Conclusion:The use of the three policy instruments is mainly dominated by environmental policies,with a relative lack of policies from demand side.It is recommended that the use of policies from demand side could be strengthened and the internal structure of policy tools be optimized,to improve the consistency and coupling of policies.