Objective:To explore the mechanism of Honghua Xiaoyao Tablets in the treatment of premature ovarian failure (POF) using network pharmacology and molecular docking technology; To conduct further experimental verification.Methods:The active components and related targets of Honghua Xiaoyao Tablets were obtained using TCMSP and PubChem databases, and the related targets of POF were obtained by using GeneCards database. The Venn online tool was used to screen the intersection genes, and the STRING database was used to construct the PPI network. Then, GO function enrichment analysis and KEGG pathway enrichment analysis were performed on the intersecting genes through the Metescape database, and Cytoscape 3.7.1 software was used to construct the "active component-target" network and "Chinese materia medica-active component-target-key pathway-disease" network. Finally, molecular docking verification was carried out. Mice were divided into blank group, model group, and Honghua Xiaoyao Tablets group using a random number table method, with 8 mice in each group. Except for the blank group, mice in each group were treated with zona pellucida polypeptide 3 (ZP3) and Freund's Complete Adjuvant (FCA) to establish a mouse model of immune POF. Mice in the Honghua Xiaoyao Tablets group received Honghua Xiaoyao Tablets solution 0.56 g/kg for gavage, and the blank control group and the model group received saline for gavage for consecutive 4 weeks. The histopathological changes of the mouse ovary were observed by HE staining. Immunohistochemical staining was used to observe the expression of ESR1, and Western blot was used to detect the expressions of Akt and p-Akt.Results:A total of 80 intersection targets between Honghua Xiaoyao Tablets and POF were obtained, and the PPI network contained 44 core targets. The top 5 compounds in the topological analysis were formononetin, quercetin, Betulinic acid, Hydroxysafflor Yellow A and Baicalin, and the top 5 targets were PPARG, ESR1, AR, AKT1 and IL6. The molecular function of core genes was mainly receptor ligand activity, and its biological process mainly involved the positive regulation of cell migration. The cellular components mainly included membrane rafts, which were involved in signaling pathways such as cancer signaling pathway, proteoglycans in cancer, PI3K-Akt signaling pathway, and HIF-1 signaling pathway. "Chinese materia medica-component-target-pathway-disease" network showed that 8 kinds of Chinese materia medica in the Honghua Xiaoyao Tablets had important core components, among which Glycyrrhizae Radix et Rhizoma and Carthami Flos involved the most important core components. Molecular docking results showed that the active components had a good affinity with the core target. The experimental verification confirmed that Honghua Xiaoyao Tablets promoted follicular development, increased the expression of ESR1 in ovarian tissues and up-regulated the expression level of the key factor of Akt phosphorylation in the PI3K-Akt signaling pathway.Conclusions:The various active components of Honghua Xiaoyao Tablets may act on PPARG, ESR1 and other targets through multiple signaling pathways such as PI3K-Akt and HIF-1 to treat POF. The potential active components are mainly formononetin, quercetin, etc.

OBJECTIVE To identify the chemical components of Changtong oral liquid （CTOL），and to provide reference for the basic research and secondary development of its pharmacological substances. METHODS UHPLC-Orbitrap HRMS technique was adopted. CTOL sample was separated on a Hypersil Gold column with mobile phase consisted of 0.1% formic acid （containing 5 mmol/L ammonium formate）-acetonitrile （gradient elution）. The eluent was detected in positive and negative ion modes using an electrospray ionization source. The data was processed by Xcalibur 4.3 and Compound Discoverer 3.3 software. The primary and secondary mass spectra data of each compound were collected. The unknown compounds were identified according to the mass spectrometry library of the instrument and the network databases mzCloud，mzVault，etc. Through matching with the pharmacology database and analysis platform of the traditional Chinese medicine system，the chemical components could be attributed to the traditional Chinese medicine. RESULTS Fifty-three chemical components were identified and analyzed from CTOL，such as 24 flavonoids，8 quinones，5 phenylpropanoids，4 sugars and glycosides，5 organic acids，3 amino acids，1 alkaloid，1 phenolic and 2 other compounds. Among them，12 components were derived from Salvia miltiorrhiza，9 from Citrus aurantium，7 from Rheum palmatum，4 from Angelica sinensis，1 from Magnolia officinalis，16 from Glycyrrhiza uralensis，and 4 from many kinds of medicinal materials. CONCLUSIONS CTOL mainly contains flavonoids，quinones and phenylpropanoid compounds，and its chemical components mainly come from G. uralensis，S. miltiorrhiza and C. aurantium.

In more than half a century of the development of bariatric metabolic surgery, a variety of classic surgical methods have been formulated. However, the improvement and innovation of bariatric metabolic surgery has never stopped. The replacement of new and old surgical methods in clinical application and development reflects the vitality and progress in the field of bariatric metabolic surgery, and also promotes the development of bariatric metabolic surgery to the best balance between benefits and risks. In the early stages, studies in metabolic surgery are more inclined to confirm the efficacy, safety and mechanism of classical procedures. In recent years, metabolic surgeons around the world have become more inclined to focus on the exploration and innovation of new procedures. In addition, the improvement of biliopancreatic diversion with duodenal switch and the sleeve gastrectomy plus procedures have gradually become hot spots for surgical innovation. However, the new techniques are diverse, scattered and partially overlapping. The authors make a comment on this content, in order to provide assistance to clinical and scientific research.

Objective:The results of the three lipid detection systems were compared to analyze their influence on risk stratification and clinical treatment in lipid management, especially the target goal cut-off point determination, and to find ways to reduce the impact on target goal determination of various lipid measurement system.Methods:A total of 196 serum samples with triglyceride TG <4.5 mmol/L were collected from people undergoing physical examinations and in-patients in the Second Xiangya Hospital of Central South University from August to October 2022. Triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were directly detected with Hitachi-Woke (HW), Roche and Mindray detection systems, respectively. The non high-density lipoprotein cholesterol (non HDL-C) was calculated by formula (TC-HDL-C) and LDL-C (F-LDL-C) was calculated by Friedewald formula, and results from various methodology were compared. The coefficient of variation ( CV) of these six indicators derived from the three detection systems were calculated to evaluate the consistency of the obtained results from different venders. In addition, the Pearson correlation coefficient was analyzed to evaluate the correlation of each indicator among different systems. According to the Chinese Guidelines for Blood Lipid Management, samples were divided into groups with LDL-C levels of <1.4, 1.4-<1.8, 1.8-<2.6, 2.6-<3.4 and ≥3.4 mmol/L according to the recommended LDL-C levels for different risk stratification levels. The sample size and percentage of LDL-C test results from different systems in the same group were counted to evaluate the impact of LDL-C differences between systems on clinical decision-making of blood lipid management. The correction factor was calculated through two methods: (1) The average deviation of LDL-C between systems was estimated by EP9-A3 method; (2) Multiple linear stepwise regression was used to establish the regression model of LDL-C difference and related indexes between systems. The two correction factors were used to correct the deviation of LDL-C value obtained from various systems, and Chi-square test was used to compare the difference of LDL-C grouping consistency rate before and after correction. Result:The average CV values of TG, TC, LDL-C, F-LDL-C, HDL-C, and non HDL-C among the three detection systems were 4.84%, 1.92%, 11.96%, 3.81%, 5.82% and 2.61%, respectively. Correlation analysis showed that when comparing the three systems in pairs, except for LDL-C derived from HW and Roche′s, and Mindray and Roche′s LDL-C ( R 2=0.938 and 0.947), the R 2 of other indicators were all greater than 0.97. The consistency rates of the three systems on LDL-C and F-LDL-C were 51.0% (100/196) and 90.8% (178/196), respectively, according to the risk stratification standard values and the difference was statistically significant ( P<0.05). When comparing in pairs, the consistency rates of Roche and HW, Mindray and HW, Mindray and Roche system LDL-C grouping were 60.7% (119/196), 82.7% (162/196), and 54.1% (106/196), respectively. After adjusting for mean deviation, the group consistency rate of Roche and HW increased to 73.7%-79.4% ( P<0.05), and the group consistency rate of Roche and Mindray increased to 72.3%-79.0% ( P<0.05). After adjusting for difference regression model, the group consistency rate of Roche and HW increased to 82.5%-84.0%, and the group consistency rate of Roche and Mindray increased to 81.0%-89.2%. However, there was no significant change in the group consistency rate of Mindray and HW after adjusting for both correction methods ( P>0.05) .Conclusions:There are significant differences in LDL-C derived from different detection systems, and the consistency rate of grouping according to the lipid-lowering standard value is relatively low, which may affect clinical decision-making in lipid management. Adjusted by the correction factor, the consistency rate of grouping between Roche and HW, Roche and Mindray systems with large differences in LDL-C can be improved. Using the difference multiple linear regression model as a correction factor is superior to the average deviation.

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. The injured organ is the main target of treatment. Organic functional reserve refers to the ability of an organ or system to return to its original physiological state following acute physiological stress or pathological injury, which has not received widespread attention. The organ reserve capacity is expected to complement the existing sepsis-related scoring system to optimize disease severity grading and evaluate prognosis. Source control, appropriate using of antibiotics and organ supporting can reduce further damage of organ reserve capacity, while nutritional therapy and rehabilitation may enhance it. Therefore, the authors believe that in further basic theoretical research and clinical practice, more attention can be paid to the monitoring and management of organ reserve capacity in sepsis, which may help improving the diagnosis and treatment of sepsis and prognosis of patients.

Objective:To detective the cut-off values of amino acid levels in premature infants in Sichuan.Methods:Data of newborns screening for inherited metabolic diseases (IMD) by tandem mass spectrometry in Sichuan Province from January 2018 to December 2019 were retrospectively analyzed.They were divided into premature infant group ( n=2 264, 1 312 males and 952 females) and full-term infant group ( n=53 275, 28 269 males and 25 006 females). The cut-off values of amino acids in dry blood spots were expressed as percentage ( P0.5 - P99.5), and rank sum test was used for comparison between preterm and full-term infants. Results:(1) The distribution of 11 amino acids [alanine (ALA), arginine (ARG), citrulline (CIT), glycine(GLY), leucine (LEU), methionine (MET), ornithine (ORN), phenylalanine (PHE), proline (PRO), tyrosine (TYR) and valine (VAL)] in premature infants were abnormal.(2) The cut-off values of amino acids in premature infants were as follows: ALA: 135.20-552.33 μmol/L, ARG: 1.34-47.04 μmol/L, CIT: 5.66-32.02 μmol/L, GLY: 181.48-909.93 μmol/L, LEU : 71.10-283.29 μmol/L, MET: 4.21-34.51 μmol/L, ORN: 40.58-293.76 μmol/L, PHE: 23.60-106.30 μmol/L, PRO: 77.76-358.24 μmol/L, TYR: 27.52-352.91 μmol/L, VAL: 53.74-228.37 μmol/L.(3) The cut-off values of amino acid in full-term infants were as follows: ALA: 135.20-552.33 μmol/L, ARG: 1.30-42.73 μmol/L, CIT: 5.92-30.35 μmol/L, GLY: 208.17-980.09 μmol/L, LEU: 72.91-287.49 μmol/L, MET: 4.27-33.90 μmol/L, ORN: 48.40-305.59 μmol/L, PHE: 27.63-92.27 μmol/L, PRO: 97.38-372.75 μmol/L, TYR: 40.19-276.54 μmol/L, VAL: 65.75-237.92 μmol/L.(4) Except for PHE ( Z=-0.58, P>0.05), the other indicators were significantly different between 2 groups [ALA ( Z=-15.32, P<0.05), ARG ( Z=-5.62, P<0.05), CIT ( Z=-5.86, P<0.05), GLY ( Z=-14.52, P<0.05), LEU ( Z=-5.62, P<0.05), MET ( Z=-5.22, P<0.05), ORN ( Z=-13.01, P<0.05), PRO ( Z=-22.09, P<0.05), TRY ( Z=-2.09, P<0.05), VAL ( Z=-17.82, P<0.05)]. Conclusions:The establishment of the cut-off values of amino acids in premature infants in Sichuan provides a theoretical basis for laboratory diagnosis of IMD screening, which enhances the accuracy of diagnosis and avoids excessive medical treatment.

Objective:To analyze the clinical characteristics and diagnosis and treatment of children with Kasabach-Merritt phenomenon (KMP).Methods:A retrospective analysis was conducted on the clinical data and follow-up data of 8 patients diagnosed KMP in Beijing Children′s Hospital, Capital Medical University from January 2016 to January 2019.The clinical data included laboratory examination, diagnosis, treatment and prognosis.Results:Among the 8 children with KMP, 6 cases were male and 2 cases were female.The median onset age was 4 (0-17) months, 2 cases of neonatal onset.The median onset to the diagnosis time was 59 (34-140) days; 6 cases with bone destruction; 6 cases had misdiagnosis and mistreatment history, they were misdiagnosed as idiopathic thrombocytopenic purpura, Evans syndrome, abnormal bone and joint development; 4 cases were Kaposiform hemangioendothelioma; 8 cases were used alone or combined with the application of hormones, Sirolimus, and Vincristine, 7 patients underwent interventional therapy.All patients survived with a median follow-up period of 487 (112-1 033) days.Median time of platelet count returned to normal was 24.5 (7-60) days, and median time of fibrinogen returned to normal was 20 (7-30) days.Median time of D-dimer dropped to a normal was 105 (40-240) days.Conclusions:Children with concurrent platelet count and coagulation abnormalities should be considered with KMP.Doctors need to identify the potential visceral vascular lesions.Early diagnosis and treatment are important, which can improve the clinical prognosis of patients.

Objective:To investigate the clinical characteristics and influencing factors of mortality in patients with intra-abdominal candidiasis (IAC).Methods:The retrospective case-control study was conducted. The clinicopathological data of 203 IAC patients who were admitted to 7 medical centers from June 2018 to June 2020 were collected, including 54 cases in Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, 31 cases in Fujian Medical University Union Hospital, 25 cases in Beijing Hospital, 25 cases in the First Affiliated Hospital of Xi'an Jiaotong University, 24 cases in China-Japan Friendship Hospital, 22 cases in General Hospital of Eastern Theater Command of Chinese PLA and 22 cases in Chongqing University Cancer Hospital. There were 130 males and 73 females, aged (64±15)years. Observation indicators: (1) candida infection and treatment of IAC patients; (2) analysis of influencing factors for mortality of IAC patients. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test. Univariate and multivariate analyses were performed by Logistic regression model. Results:(1) Candida infection and treatment of IAC patients: 134 cases of candida albicans were cultured in the initial abdominal drainage fluid or intraoperative abdominal specimens of 203 patients, and 49 cases were treated with fluconazole. Of 69 cases infected with non candida albicans, 13 cases were treated with fluconazole. The resistance rate of candida albicans to fluconazole was 5.91%(12/203). Of 203 patients, there were 68 cases with infections shock, 53 cases with renal failure, 84 cases with respiratory failure and 63 cases with multiple organ failure, respectively. There were 148 of 203 patients admitted to intensive care unit for 9 days(range, 3-20 days), and the total hospital stay was 28 days(range, 17-50 days). Of 203 patients, 86 cases were cured and discharged, 50 cases were improved and transferred to local hospitals, 32 cases gave up treatment and discharged automatically, 19 cases died, 16 cases had no follow-up data. The mortality was 25.12%(51/203). (2) Analysis of influencing factors for mortality of IAC patients. Results of univariate analysis showed that acute physiology and chronic health evaluation score, sequential organ failure assessment score, the Cr, bilirubin, albumin, procalcitonin, and PLT on the first day of candida positive culture, of the lowest value in a week and the highest in a week, heart disease, diabetes, infections shock, renal failure, respiratory failure, multiple organ failure, anti-fungal therapy were the related factors for mortality of IAC patients ( t=-2.322, Z=-2.550, -2.262, -4.361, t=2.085, Z=-3.734, -5.226, -2.394, -5.542, t=3.462, Z=-4.957, -5.632, 3.670, -5.805, t=3.966, Z=-3.734, -5.727, χ2=4.071, 4.638, 27.353, 18.818, 13.199, 26.251, 13.388, P<0.05). Multivariate analysis showed that the bilirubin, procalcitonin on the first day of candida positive culture and infections shock were independent risk factors for mortality of IAC patients ( odds ratio=1.021, 1.022, 6.864, 95% confidence interval as 1.010-1.033, 1.001-1.044, 1.858-25.353, P<0.05). Conclusions:The common fungus of IAC was candida albicans, and fluconazole can be used as the initial empirical treatment. The prognosis of patients with abdominal candidiasis is poor. Bilirubin, procalcitonin on the first day of candida positive culture and infections shock are indepen-dent risk factors for mortality of IAC patients.

Objective:To explore the change characteristics of amino acid levels in neonates, so as to provide theoretical basis for accurate clinical interpretation.Methods:By preliminary screening and diagnosis from 32 855 newborns, 32 843 samples were collected using tandem mass spectrometry to inherited metabolic disease (IMD) scree-ning in Sichuan Province from January to December 2018.Afterwards, according to gestational age (1 363 premature infants, 31 468 full-term infants and 12 overdue infants), blood collection time (3-7 days old, 3 095 cases, 8-28 days old, 1 637 cases, and more than 28 days old, 248 cases) and season (7 737 cases in the first quarter, 11 428 cases in the second quarter, 5 482 cases in the third quarter, and 8 196 cases in the fourth quarter), neonates were divided into different study groups.The difference of amino acid level in each group was compared, and the correlation between various influencing factors and metabolic index was analyzed.Results:(1) The distribution of 11 amino acids [alanine(ALA), arginine(ARG), citrulline(CIT), glycine(GLY), leucine+ isoleucine+ hydroxyproline (LEU+ ILE+ PRO-OH), methionine(MET), ornithine(ORN), phenylalanine(PHE), proline(PRO), tyrosine(TYR), and valine(VAL)] in neonates showed non-normally distribution.(2)The distribution of 11 amino acids in different gestational age were tested by nonparametric test, except for PHE( H=0.61, P>0.05)and TYR( H=2.02, P>0.05), and other indicators were significantly different [ALA( H=187.11, P<0.05), ARG( H=23.60, P<0.05), CIT( H=22.90, P<0.05), GLY( H=85.18, P<0.05), LEU( H=56.42, P<0.05), MET( H=18.74, P<0.05), ORN( H=129.27, P<0.05), PRO( H=344.40, P<0.05), and VAL( H=272.92, P<0.05)]. (3) The distribution of 11 amino acids in different blood collection time were significantly different [ALA( H=65.19, P<0.05), ARG( H=404.48, P<0.05), CIT( H=502.13, P<0.05), GLY( H=1 719.44, P<0.05), LEU( H=396.41, P<0.05), MET( H=199.39, P<0.05), ORN( H=31.26, P<0.05), PHE( H=325.49, P<0.05), PRO( H=70.09, P<0.05), TYR( H=159.29, P<0.05), and VAL( H=102.52, P<0.05)]. (4) The distribution of 11 amino acids in different birth seasons were significantly different [ALA( H=401.37, P<0.05), ARG( H=3 229.03, P<0.05), CIT( H=65.45, P<0.05), GLY( H=597.82, P<0.05), LEU( H=1 120.42, P<0.05), MET( H=10 515.18, P<0.05), ORN( H=1 275.23, P<0.05), PHE( H=2 260.17, P<0.05), PRO( H=319.57, P<0.05), TYR( H=884.37, P<0.05), and VAL( H=1 824.49, P<0.05)]. Conclusion:According to different gestational age, season and blood collection time, the metabolism of amino acids in neonates was different.When using tandem mass spectrometry for detection, appropriate interpretation criteria should be selected based on different conditions.

On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.