Given that ovarian stimulation is vital for assisted reproductive technology (ART) and results in elevated serum estrogen levels, exploring the impact of elevated estrogen exposure on oocytes and embryos is necessary. We investigated the effects of various ovarian stimulation treatments on oocyte and embryo morphology and gene expression using a mouse model and estrogen-treated mouse embryonic stem cells (mESCs). Female C57BL/6J mice were subjected to two types of conventional ovarian stimulation and ovarian hyperstimulation; mice treated with only normal saline served as controls. Hyperstimulation resulted in high serum estrogen levels, enlarged ovaries, an increased number of aberrant oocytes, and decreased embryo formation. The messenger RNA (mRNA)‍-sequencing of oocytes revealed the dysregulated expression of lysine-specific demethylase 6b (Kdm6b), which may be a key factor indicating hyperstimulation-induced aberrant oocytes and embryos. In vitro, Kdm6b expression was downregulated in mESCs treated with high-dose estrogen; treatment with an estrogen receptor antagonist could reverse this downregulated expression level. Furthermore, treatment with high-dose estrogen resulted in the upregulated expression of histone H3 lysine 27 trimethylation (H3K27me3) and phosphorylated H2A histone family member X (γ-H2AX). Notably, knockdown of Kdm6b and high estrogen levels hindered the formation of embryoid bodies, with a concomitant increase in the expression of H3K27me3 and γ-H2AX. Collectively, our findings revealed that hyperstimulation-induced high-dose estrogen could impair the demethylation of H3K27me3 by reducing Kdm6b expression. Accordingly, Kdm6b could be a promising marker for clinically predicting ART outcomes in patients with ovarian hyperstimulation syndrome.
Female ; Mice ; Demethylation/drug effects* ; Embryonic Stem Cells ; Estrogens/administration & dosage* ; Gene Expression/drug effects* ; Histones/metabolism* ; Jumonji Domain-Containing Histone Demethylases/metabolism* ; Mice, Inbred C57BL ; Oocytes ; Ovary/drug effects* ; Reproductive Techniques, Assisted ; Animals

In the context of continuously deepening medical and health system reforms and comprehensively promoting the "Healthy China" strategy, Henan Provincial People's Hospital has established a regional collaborative and vertically integrated critical care service structure and network. This initiative aims to enhance information empowerment, strengthen regional collaboration, improve the insufficient primary medical services, and ensure timely and effective treatment for critically ill patients. By establishing a comprehensive dispatch service platform for regional collaborative critical care, building a "top-down" remote medical collaboration network, and forming a cross-regional specialty alliance for critical care, the hospital has improved the efficiency of medical services and enhanced regional capabilities for treating critically ill patients. Simultaneously, for critically serious patients and those with complex diseases at primary medical institutions, a one-stop consultation and referral service has been implemented. This service adopts a "three specialists" approach and a multidisciplinary consultation mechanism within the hospital, constructs a multi-dimensional critical care transfer mode integrating air, ground, and the internet, creates a regional collaborative rescue mode, and implements full-cycle treatment for critically serious patients. The comprehensive, flexible, and efficient service pathway for regional collaborative critical care established by this system ensures timely and safe treatment for critically ill patients, promotes the distribution of high-quality medical resources, and effectively addresses issues such as uneven distribution of high-quality medical resources and varying levels of critical care capabilities. It has facilitated the formation of a new tiered diagnosis and treatment order characterized by "first diagnosis at the primary level, two-way referral, separate treatment for acute and chronic diseases, and vertical integration". This approach has enhanced the diagnostic and comprehensive service capabilities of primary medical institutions. Currently, by strengthening information empowerment and sharing, creating a full-process critical care diagnosis and treatment model, providing medical assistance and cultivating primary-level critical care talent, and promoting appropriate technologies, the hospital has gradually overcome challenges such as barriers to information exchange and sharing between hospitals, overloaded critical care teams, high pressure on patient reception and transfer, and limited critical care capabilities at primary medical institutions. This article summarizes the construction and practical application of this regionally coordinated critical care system, aiming to provide a reference for the management of critical care treatment.
Humans ; China ; Critical Care/organization & administration* ; Delivery of Health Care/organization & administration*

Natural products (NPs) have long held a significant position in various fields such as medicine, food, agriculture, and materials. The chemical space covered by NPs is extensive but often underexplored. Therefore, high-throughput and efficient methodologies for the annotation and discovery of NPs are desired to address the complexity and diversity of NP-based systems. Mass spectrometry (MS) has emerged as a powerful platform for the annotation and discovery of NPs. MS databases provide vital support for the structural characterization of NPs by integrating extensive mass spectral data and sample information. Additionally, the released annotation methodologies, based on a variety of informatics tools, continuously improve the ability to annotate the structure and properties of compounds. This review examines the current mainstream databases and annotation methodologies, focusing on their advantages and limitations. Prospects for future technological advancements are then discussed in terms of novel applications and research objectives. Through a systematic overview, this review aims to provide valuable insights and a reference for MS-based NPs annotation, thereby promoting the discovery of novel natural entities.
Biological Products/chemistry* ; Mass Spectrometry/methods* ; Databases, Factual ; Drug Discovery/methods* ; Humans

ObjectiveTo analyze the epidemiological characteristics of clustered vomiting and diarrhea outbreaks in Minhang District of Shanghai, to identify the influencing factors of outbreak scale and duration of epidemic, and to provide scientific evidence for further strengthening surveillance early-warning efforts in key settings and for optimizing prevention and control measures. MethodsThe data for describing epidemiological characteristics of clustered vomitting and diarrhea outbreaks in Minhang District from 2018 to 2023 were collected, multivariable logistic regression models were applied to analyze the influencing factors for epidemic scale,and Spearman rank correlation analyses were applied to analyze the factors duration. ResultsA total of 136 clustered vomiting and diarrhea outbreaks were reported in Minhang District from 2018 to 2023, all occurring in school settings, with an overall attack rate of 0.90%. The outbreaks exhibited distinct seasonality, predominantly occurring from October to December (43.38%) and March to May (32.35%). The primary settings were preschools (45.59%) and elementary schools (44.12%), with students accounted for the majority of cases (99.48%). The predominant clinical manifestation was vomiting (90.44%), with person-to-person contact being the primary transmission route (98.53%). Norovirus genogroup Ⅱ was identified as the main pathogen (71.32%). Standardized terminal disinfection of outbreak sites (OR=0.39, 95%CI=0.20‒0.74) and effective isolation of affected classes (OR=0.23, 95%CI=0.09‒0.57) were significant protective factors for reducing outbreak scale. Both response time (r=0.64, P<0.001) and the number of case generations (r=0.71, P<0.001) showed positive correlations with outbreak duration. ConclusionSchools are the key settings for the prevention and control of clustered vomiting and diarrhea outbreaks in Minhang District, with peak occurring in autumn and spring. Early detection, timely reporting, and prompt response to outbreaks are crucial. Strengthening school-based surveillance systems and standardizing outbreak management protocols are of particular importance.

Objective:To analyze the genetic characteristics of the complete genome of a strain of human respiratory syncytial virus (HRSV) in Qinghai province in 2024.Methods:A total of 300 samples were collected during 2024 influenza surveillance in Qinghai province sentinel hospitals from patients with fever accompanied by severe respiratory infection symptoms. We used real-time fluorescent quantitative reverse transcription polymerase chain reaction RT-PCR) method to screen out HRSV subtype B (HRSVB) positive specimens, whole genome sequencing was performed on positivespecimens meeting the requirements for the sequencing. After downloading the global representative HRSVB genotypes at GenBank database, sequence alignment was performed, related evolutionary tree was built and the calculation and analyses of genetic distance were done, analyses of HRSVB sequencing of sequence homology of nucleotides, amino acids and amino acid mutation were performed.Results:The first strain in Qinghai, China/qinghai/2024-03 had a complete sequence of 15 140 bp nucleotides, with HRSV′s all structural characteristics, and subtype HRSVA prototype strain Long strains of nucleotide the lowest homology was 80.0%, and subtype HRSVB prototype strain nucleotide homology was above 94.7%. The result indicated that the first strain in Qinghai belonged to HRSVB subtype. Genetic evolution shows China/qinghai/2024-03 and USA/WA-S23450/2021 (OR326803.1) and Germany/2021 (OR795235.1) all belong to a branch, they have the closest relationship. Phylogenetic analysis of G gene showed that the strain belonged to BA9 genotype of HRSVB subtype, and the hypervariable regions of the genome were SH and G genes.Conclusions:In this study, the complete genome sequence of HRSV China/qinghai/2024-03 was obtained for the first time, and the basic molecular structural characteristics were elucidated, which filled the gaps in the gene and amino acid data of HRSV in our province, and also provided a basis for HRSV epidemiology.

OBJECTIVE To explore the mechanism by which gastrodin improves renal hyperten-sion in rats.METHODS A rat model of renal hypertension was established by ligating the renal artery.seventy-five rats were randomly divided into 5 groups(n=15):control group(sham operation group),model group,model+ramipril 1 mg·kg-1,model+gastrodin 100 and 200 mg·kg-1.The systolic blood pressure of the tail artery after modeling>18.12 kPa was regarded as the success of modeling.After the model was established,rats in the model+ramipril group were ig given ramipril 1 mg·kg-1 while the model+gastrodin group was ig given gastrodin 100 and 200 mg·kg-1 respectively for 4 weeks.Colori-metric assay kit was used to detect the serum superoxide dismutase(SOD)activity and malondialde-hyde(MDA)content in rats.ELISA was used to detect serum angiotensin-2(Ang-2)and aldosterone(ALD)contents,as well as serum and thoracic aortic tissue interleukin-1β(IL-1β),IL-6 and tumor necrosis factor α(TNF-α)content.HE staining was performed to detect pathological changes in thoracic aorta tissue of rats.The expressions of autophagy protein miceotubule associated protein light chain 3(LC3)-Ⅱand LC3-Ⅰwere detected by Western blotting.RESULTS The systolic pressure of the tail artery of rats after modeling exceeded 18.12 kPa,indicating that the modeling was successful.Compared with the control group,the contens of Ang-2(P<0.01)and ALD(P<0.01)in the model group were significantly increased,the activity of SOD(P<0.01)in serum and thoracic aorta tissue was significantly decreased,the content of MDA(P<0.01)was significantly increased,the contents of IL-1β,IL-6 and TNF-α in serum and thoracic aorta tissue were significantly decreased(P<0.01)and the ratio of LC-32/LC-31 in thoracic aorta tissue was significantly increased(P<0.01).Compared with the model group,gastrodin significantly increased the systolic pressure of the tail artery(P<0.01),the contents of Ang-2(P<0.01)and ALD(P<0.01)and the activity of SOD(P<0.01)in serum,as well as decreased the contents of MDA,IL-1β,IL-6 and TNF-α(P<0.01)in serum and thoracic aorta tissue.Meanwhile,gastrodin signifi-cantly decreased the ratio of LC3-Ⅱ/LC3-Ⅰ in rat thoracic aorta(P<0.01).CONCLUSION Gastrodin can improve the blood pressure of renal hypertensive rats,and the mechanism is possibly related to the reduction of autophagy protein LC3-Ⅱ/LC3-Ⅰratio.

Objective To investigate the effect of early combined use of liraglutide on cardiometa-bolic risk factors and prognosis in patients with T2DM and CMVD.Methods A total of 124 T2DM patients with concomitant CMVD admitted in our hospital from May 2021 to June 2023 were enrolled,and divided into the liraglutide group(n=59)and the non-liraglutide group(n=65)according to taking liraglutide or not.The main observation indicators were compared between the two groups,including cardiometabolic risk factors,such as Hcy,UA,FPG,eGFR,HbA1c,hs-CRP,WC,BMI,WWI,and echocardiographic indicators,such as LAD,LVEDD,LVPWT,IVST,E/e',e',LVEF,LAVI,LVMI,and RWT.And the incidence of adverse reactions and read-mission rates were recorded during follow-up.Results After treatment,in the liraglutide group,Hcy,UA,FPG,HbA1c,hs-CRP,WC,BMI,WWI,E/e',LAVI,LVMI,RWT,IVST and LVPWT values,and anteroposterior,transverse and long diameters of left atrium were all lower than before treatment,and eGFR and e'value were increased(P＜0.05,P＜0.01),and no significant difference was seen in LVEF and LVEDD(P＞0.05).The non-liraglutide group obtained lower HbA1c,FPG,BMI,E/e'and LAVI values,and transverse diameter of left atrium,elevated LVPWT and e'value(P＜0.05,P＜0.01),and no obvious changes in Hcy,UA,eGFR,hs-CRP,WC,WWI,BMI,LVEF,LVMI,RWT,LVEDD,IVST,and anteroposterior and long diameters of left atrium when compared with the indicators before treatment(P＞0.05).At the end of the fol-low-up,when compared with the non-liraglutide group,the liraglutide group had more significant decreases in E/e',LAVI,LVMI and RWT values and increase in e'value(P＜0.05,P＜0.01),and higher total effective rates(94.92％vs 72.31％,P＜0.01).What's more,the readmission rate due to adverse cardiovascular events was notably lower in the liraglutide group and the non-liraglutide group(3.39％vs 15.38％,P＜0.05).Conclusion Compared with BMI,WWI may be more sensi-tive in reflecting changes in cardiometabolic risk factors in T2DM patients with CMVD;Early combined application of liraglutide has good efficacy and safety,and exerts multiple cardiovascular protective effects,including reducing cardiometabolic risk factors,improving cardiac diastolic function and renal function,inhibiting chronic inflammation and decreasing the occurrence of ad-verse cardiovascular events in the patients.

Objective To investigate the application of machine learning to predict the hemodynamic parameters of combined stenotic left coronary artery(LCA)aneurysms.Methods Parameterized modeling and simulation based on the geometric parameter range of combined stenosis LCA aneurysms in clinical statistics were conducted.The obtained simulation data was used as the dataset,and two common machine learning models were constructed and trained for optimization to predict two key hemodynamic parameters:wall shear stress(WSS)and pressure.By comparing and analyzing the performances of these models on the training and testing sets,the accuracy of each model was evaluated,and the effectiveness of the data-driven prediction of hemodynamic parameters for LCA aneurysms with concomitant stenosis was verified.Results The effectiveness of machine learning method in inverting the hemodynamic parameters of aneurysms was determined.For WSS prediction,the trained deep learning model and random forest model achieved mean squared error(MSE),mean absolute error(MAE),and determination coefficient R2 of 0.052 8,0.032 2,0.988 3,and 0.078 2,0.046 3,and 0.976 6,respectively.For pressure prediction,the accuracies of the deep learning models and random forest models were comparable,with MSE,MAE,and R2 of 4.67×10-6,3×10-4,0.999 7,and 1.07×10-5,5×10-4,and 0.999 3,respectively.Conclusions Machine learning methods show high accuracy in predicting the hemodynamic parameters of combined stenotic coronary artery aneurysm models.The predictive accuracy of the model,computational efficiency,and needs of the application scenarios need to be considered in machine learning prediction so that the appropriate model can be selected according to the specific situation.This study has clinical significance,helping doctors to more accurately evaluate a patient's condition and provide new ideas and method for the diagnosis and treatment of cardiovascular diseases.

Objective:To observe the effects of different intervention schemes on the expression of adhesion-related cytokines, menstrual recovery and clinical outcome of patients after transcervical resection of adhesion (TCRA) .Methods:180 patients received TCRA in our hospital from Feb. 2022 to Feb. 2023 were divided into group A, group B and group C according to different post-operative intervention programs, with 60 patients in each group. Patients in group A were treated with artificial cycle of estrogen and progesterone after surgery. On this basis, patients in group B were placed with a uterine birth control ring, and patients in group C were injected with sodium hyaluronate gel into the uterine cavity. The grade of uterine cavity adhesion, improvement rate of menstruation and pregnancy outcome at 2 months after operation and pregnancy outcome within 1 year after surgery were compared between the three groups at 2 months after operation. The relative mRNA expression of endometrial tissue transforming growth factor β1 (TGF-β1), platelet-derived growth factor BB (PDGF-BB), tissue inhibitor of matrix metalloproteinase-1 (TIMP-1) and basic fibroblast growth factor (bFGF) at uterine cavity adhesion in each group were detected and compared.Results:At 2 months after surgery, the uterine adhesion rates in group A, group B, and group C were 43.33%, 15.00%, and 11.67%, respectively. There was no significant difference in the uterine adhesion rates between group B and group C ( P>0.05), but they were significantly lower than those in group A ( P<0.05) ; Meanwhile, the degree of intrauterine adhesions in group B and group C was significantly milder than that in group A ( P<0.05). The menstrual improvement rates of group A, group B, and group C at 2 months after surgery were 76.67%, 93.33%, and 96.67%, respectively. There was no significant difference between group B and group C ( P>0.05), but they were all significantly higher than group A ( P<0.05). At 2 months post surgery, the relative expression levels of TGF-β1, PDGF-BB, TIMP-1, and bFGF mRNA in the endometrial tissue at the site of uterine adhesions in group A were 0.77±0.26, 0.58±0.27, 0.54±0.15, and 0.62±0.14, respectively. In group B, they were 0.37±0.16, 0.37±0.14, 0.26±0.11, and 0.29±0.10, respectively. In group C, they were 0.32±0.16, 0.21±0.09, 0.27±0.08, and 0.34±0.18, respectively. The relative expression levels of cytokines in each group were significantly lower than during surgery ( P<0.05). There was no significant difference in the relative expression levels of various cytokines mRNA between group B and group C at 2 months after surgery ( P>0.05), but both were significantly lower than group A ( P<0.05). The pregnancy success rates within 1 year after surgery in group A, group B, and group C were 40.00%, 55.00%, and 58.33%, respectively. The pregnancy success rate in group C was significantly higher than that in group A ( P<0.05) . Conclusions:The application of metauterine contraceptive ring or sodium hyaluronate gel on the basis of estrogen and progesterone treatment after TCRA can effectively prevent postoperative re-adhesion of patients with intrauterine adhesions, improve clinical symptoms, and reduce the expression level of adhesion cytokines. The effects of the two schemes are equivalent.

Chaihu Shugansan composed of Bupleuri Radix， Paeoniae Radix Alba， Chuanxiong Rhizoma， Aurantii Fructus， Citri Reticulatae Pericarpium， Cyperi Rhizoma， and Glycyrrhizae Radix et Rhizoma has the effects of soothing liver， relieving depression， regulating Qi movement， and relieving pain. It is a classic formula for treating gastric distension recommended by doctors of later ages. This article systematically reviews the clinical application and basic experimental progress of Chaihu Shugansan in the treatment of functional dyspepsia. In modern clinical practice， Chaihu Shugansan and its modified formulas are used to treat functional dyspepsia， and they can be applied in combination with other formulas （Si Junzitang， Jinlingzisan， Zhizhuwan， etc.）， western medicine （domperidone tablets， deanxit， Saccharomyces boulardii， etc.）， traditional Chinese medicine （TCM） acupuncture and other therapies. The results of clinical studies have shown that Chaihu Shugansan and its modified formulas can significantly reduce the Hamilton depression scale （HAMD） score， Hamilton anxiety scale （HAMA） score， and TCM syndrome score， ameliorate the symptoms， improve the quality of life， and decrease the recurrence rate. The experimental pharmacological studies have demonstrated that Chaihu Shugansan can inhibit the autophagy of Cajal interstitial cells， regulate the endoplasmic reticulum stress signaling pathway， and modulate the brain-gut peptide level to improve the gastrointestinal motility. Chaihu Shugansan can inhibit the expression of 5-hydroxytryptamine in the colon tissue and reduce the abdominal withdrawal reflex （AWR） score to improve visceral hypersensitivity. Furthermore， Chaihu Shugansan can lower the levels of pro-inflammatory cytokines such as interleukin-6 and tumor necrosis factor-α to repair duodenal mucosal inflammation. In addition， it can regulate intestinal flora to maintain intestinal flora balance. The main active ingredients such as saikosaponin， paeoniflorin， hesperidin， and naringin in Chaihu Shugansan can exert anti-inflammatory， antioxidant， and antimicrobial effects.