Objective To evaluate the bioequivalence and safety of two cilostazol tablets 50 mg in healthy Chinese subjects.Methods This study was an open-lable,randomized,two-period crossover design.A total of 32 subjects respectively for fasting state were given a single oral dose of test or reference tedizolid phosphate tablets 50 mg.The plasma concentration of cilostazol was determined by liquid chromatography tandem mass spectrometry(LC-MS/MS),and the concentration-time data was processed by SAS 9.4,the model method of the non-compartmental was used to calculate the pharmacokinetic parameters of tedizolid and to evaluate the bioequivalence.Results The Cmax of cilostazol test and reference were(358.10±125.80)and(346.90±115.30)ng·mL-1;tmax were 3.50 and 4.00 h;t1/2 were(9.63±7.12)and(8.57±5.15)h;AUC0_twere(5 235.00±2 268.00)and(5 190.00±1 747.00)h·ng·mL-1;AUC0-∞ were(5 377.00±2 367.00)and(5 308.00±1 848.00)h·ng·mL-1.The 90％confidence intervals of the geometric mean ratios of the main pharmacokinetic parameters of the test drug and reference drug were within the range of 80.00％to 125.00％.Conclusion Single oral test and reference cilostazol tablets were bioequivalent and safe in healthy Chinese subjects.

Objective: To investigate the differences of immune microenvironment between stage T1N3 and stage T3N0 breast cancer patients and explore the relationship between M1 macrophage infiltration and lymph node metastasis in breast cancer. Methods: Clinical information and RNA-sequencing (RNA-Seq) expression data of stage T1N3 (n=9) and stage T3N0 (n=11) breast cancer patients were extracted from Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) databases. Using CIBERSORT, the proportions of 22 types of immune cells were calculated, and then the differences of immune cell infiltration between stage T1N3 and T3N0 patients were compared. From 2011 to 2022, pathologic specimens were collected from breast cancer patients who underwent curative resection at the Cancer Hospital, Chinese Academy of Medical Sciences, including 77 at stage T1N3 and 58 at stage T3N0.The METABRIC database analysis results were verified by examining the density of M1 macrophages in tissues using dual-staining immunohistochemistry. Results: METABRIC data analysis showed M1 macrophage was the highest proportion, 15.85% in stage T1N3 breast cancer; M2 macrophage was the highest proportion, 13.07% in stage T3N0 breast cancer.M1 macrophage proportions were statistically different between patients with stage T1N3 and stage T3N0 (P=0.010). The dual-staining immunohistochemistry analysis of breast cancer tissues showed M1 macrophage density (median) of 62.0 and 38.0 cells/mm(2) for stage T1N3 and T3N0, respectively. The difference was statistically significant (P=0.002). Conclusion: The density of M1 macrophages is notably higher in stage T1N3 patients and is associated with lymph node metastasis.
Humans ; Female ; Breast Neoplasms/pathology* ; Lymphatic Metastasis/pathology* ; Macrophages/metabolism* ; Tumor Microenvironment

Objective: To evaluate the efficacy of supraclavicular fasciocutaneous island flap (SIF) for repairing the defect of parotid or auricle regions after tumor resection. Methods: From February 2019 to June 2021, 12 patients (11 males and 1 female, aged 54-77 years old), of whom 4 with parotid adenoid cystic carcinoma and 8 with auricular basal cell carcinoma underwent reconstruction surgery for postoperative defects in the parotid gland area and auricular area with SIF in the Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital of Central South University and their clinical data were retrospectively analyzed. Size of the SIF, time for harvesting SIF, neck lymph node dissection and postoperative complications were recorded. Results: The flap areas were (6-9) cm × (8-13) cm, and the harvesting time for SIF ranged from 40 to 80 min, averaging 51.7 min. The donor sites were directly closed. All patients underwent ipsilateral levels Ⅰ-Ⅲ neck dissection, with 4 cases undergoing additional level Ⅳ neck dissection and 2 cases undergoing level Ⅳ-Ⅴ neck dissection. Of the 12 SIF, 10 were completely survival and 2 had flap arterial crisis with partial flap necrosis, in addition, 1 had donor site wound dehiscence. With follow-up of 10-42 months, there were no tumor recurrences in 10 patients, 1 patient was lost to follow-up at 10 months postoperatively, and 1 patient experienced local tumor recurrence at 11 months after surgery and died 15 months later. Conclusion: SIF is an easily harvested flap with good skin features matching the skin in parotid and auricle regions and less damage to donor site, and this flap has no need for microvascular anastomosis technique. SIF is feasible and effective for repairing defects in parotid and auricle area.
Male ; Humans ; Female ; Middle Aged ; Aged ; Plastic Surgery Procedures ; Parotid Gland/surgery* ; Retrospective Studies ; Neoplasm Recurrence, Local ; Surgical Flaps/blood supply* ; Skin Transplantation/methods* ; Postoperative Complications ; Treatment Outcome

This study aims to investigate the expression, prognosis, and clinical significance of C5orf46 in gastric cancer and to study the interaction between the active components of C5orf46 and tarditional Chinese medicine. The ggplot2 package was utilized for differential expression analysis of C5orf46 in gastric cancer tissues and normal tissues. The survival package was used for survival analysis, univariate regression analysis, and multivariate regression analysis. Nomogram analysis was used to assess the connection between C5orf46 expression in gastric cancer and overall survival. The abundance of tumor-infiltrating lymphocytes was calculated by GSVA package. Coremine database, Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP) database, and PubChem database were used to search the potential components corresponding to C5orf46 gene and tarditional Chinese medicine. Molecular docking was performed to explore the binding affinity of potential components to C5orf46. Cell experiments were performed to explore the expression of C5orf46 gene in cells of the blank group, model group, and drug administration groups. As compared with normal tissues, C5orf46 expression was higher in gastric cancer tissues, which had more significant predictive effects in the early stages(T2, N0, and M0). The more advanced the tumor node metastasis(TNM) stage, the higher the C5orf46 expression and the lower the probability of survival of patients with gastric cancer. The expression of C5orf46 positively correlated with the helper T cells1 in gastric cancer and the macrophage infiltration level in gastric cancer, and negatively correlated with B cells, central memory T cells, helper T cells 17, and follicular helper T cells. Seven potential components of C5orf46 were obtained, and three active components were obtained after the screening, which matched five tarditional Chinese medicines, namely, Sojae Semen Nigrum, Jujubae Fructus, Trichosanthis Fructus, Silybi Fructus, and Bambusae Concretio Silicea. Molecular docking revealed that sialic acid and adeno-sine monophosphate(AMP) had a good binding ability to C5orf46. The results of real-time quantitative polymerase chain reaction(RT-qPCR) and Western blot showed that, as compared with the model group, the mRNA and protein expression levels of C5orf46 were significantly lower in the drug administration groups. The lowest expression level was found at the concentration of 40 μmol·L~(-1). The results of this study provide ideas for the clinical development of traditional Chinese medicine compounds for the treatment of gastric cancer as well as other cancers.
Humans ; Stomach Neoplasms/metabolism* ; Medicine, Chinese Traditional ; Molecular Docking Simulation ; Prognosis ; Computational Biology

Objective: By identifying different metabolites in the serum and clarifying the potential metabolic disorder pathways in metabolic syndrome (MS) and stable coronary artery disease patients, to evaluate the predictive value of specific metabolites based on serum metabolomics for the occurrence of MS and coronary heart disease in overweight or obese populations. Methods: This is a retrospective cross-sectional study. Patients with Metabolic Syndrome (MS group), patients with stable coronary heart disease (coronary heart disease group), and overweight or obese individuals (control group) recruited from the Central District of the First Affiliated Hospital of Zhengzhou University from 2017 to 2019 were assigned to the training set, meanwhile, the corresponding three groups of people recruited from the East District of the hospital during the same period were assigned to the validation test. The serum metabolomics profiles were determined by ultra-performance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS). Clinical characteristics (age, gender, body mass index (BMI), blood pressure, fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), alanine aminotransferase (ALT), aspartate transaminase (AST), total cholesterol (TC), triacylglycerol (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glomerular filtration rate (eGFR), creatinine (CR)) were also collected. Based on the orthogonal partial least-squares discrimination analysis (OPLS-DA) model, the significantly changed metabolites for MS and coronary artery disease patients were screened according to variable important in projection (VIP), and the receiver operating characteristic (ROC) analysis was evaluated for the risk prediction values of changed metabolites. Results: A total of 488 subjects were recruited in this study, the training set included 40 MS, 249 coronary artery disease patients and 148 controls, the validation set included 16 MS, 18 coronary artery disease patients and 17 controls. We made comparisons of the serum metabolites of coronary artery disease vs. controls, MS vs. controls, and coronary artery disease vs. MS, and a total of 22 different metabolites were identified. The disturbed metabolic pathways involved were phospholipid metabolism, amino acid metabolism, purine metabolism and other pathways. Through cross-comparisons, we identified 2 specific metabolites for MS (phosphatidylcholine (18∶1(9Z)e/20) and pipecolic acid), 4 specific metabolites for coronary artery disease (lysophosphatidylcholine (17∶0), PC(16∶0/16∶0), hypoxanthine and histidine), and 4 common metabolites both for MS and coronary artery disease (isoleucine, phenylalanine, glutathione and LysoPC(14∶0)). Based on the cut-off values from ROC curve, the predictive value of the above metabolites for the occurrence of MS in overweight or obese populations is 100%, the predictive value for the occurrence of coronary heart disease is 87.5%, and the risk predictive value for coronary heart disease in MS patients is 82.1%. Conclusions: The altered serum metabolites suggest that MS and coronary heart disease may involve multiple metabolic pathway disorders. Specific metabolites based on serum metabolomics have good predictive value for the occurrence of MS and coronary heart disease in overweight or obese populations.
Humans ; Metabolic Syndrome ; Overweight ; Coronary Artery Disease ; Retrospective Studies ; Cross-Sectional Studies ; Obesity ; Cholesterol, HDL ; Biomarkers

Objective: By identifying different metabolites in the serum and clarifying the potential metabolic disorder pathways in metabolic syndrome (MS) and stable coronary artery disease patients, to evaluate the predictive value of specific metabolites based on serum metabolomics for the occurrence of MS and coronary heart disease in overweight or obese populations. Methods: This is a retrospective cross-sectional study. Patients with Metabolic Syndrome (MS group), patients with stable coronary heart disease (coronary heart disease group), and overweight or obese individuals (control group) recruited from the Central District of the First Affiliated Hospital of Zhengzhou University from 2017 to 2019 were assigned to the training set, meanwhile, the corresponding three groups of people recruited from the East District of the hospital during the same period were assigned to the validation test. The serum metabolomics profiles were determined by ultra-performance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS). Clinical characteristics (age, gender, body mass index (BMI), blood pressure, fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), alanine aminotransferase (ALT), aspartate transaminase (AST), total cholesterol (TC), triacylglycerol (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glomerular filtration rate (eGFR), creatinine (CR)) were also collected. Based on the orthogonal partial least-squares discrimination analysis (OPLS-DA) model, the significantly changed metabolites for MS and coronary artery disease patients were screened according to variable important in projection (VIP), and the receiver operating characteristic (ROC) analysis was evaluated for the risk prediction values of changed metabolites. Results: A total of 488 subjects were recruited in this study, the training set included 40 MS, 249 coronary artery disease patients and 148 controls, the validation set included 16 MS, 18 coronary artery disease patients and 17 controls. We made comparisons of the serum metabolites of coronary artery disease vs. controls, MS vs. controls, and coronary artery disease vs. MS, and a total of 22 different metabolites were identified. The disturbed metabolic pathways involved were phospholipid metabolism, amino acid metabolism, purine metabolism and other pathways. Through cross-comparisons, we identified 2 specific metabolites for MS (phosphatidylcholine (18∶1(9Z)e/20) and pipecolic acid), 4 specific metabolites for coronary artery disease (lysophosphatidylcholine (17∶0), PC(16∶0/16∶0), hypoxanthine and histidine), and 4 common metabolites both for MS and coronary artery disease (isoleucine, phenylalanine, glutathione and LysoPC(14∶0)). Based on the cut-off values from ROC curve, the predictive value of the above metabolites for the occurrence of MS in overweight or obese populations is 100%, the predictive value for the occurrence of coronary heart disease is 87.5%, and the risk predictive value for coronary heart disease in MS patients is 82.1%. Conclusions: The altered serum metabolites suggest that MS and coronary heart disease may involve multiple metabolic pathway disorders. Specific metabolites based on serum metabolomics have good predictive value for the occurrence of MS and coronary heart disease in overweight or obese populations.
Humans ; Metabolic Syndrome ; Overweight ; Coronary Artery Disease ; Retrospective Studies ; Cross-Sectional Studies ; Obesity ; Cholesterol, HDL ; Biomarkers

ObjectiveTo analyze the differential components in water extract of Chuanxiong Rhizoma before and after processing with wine， and to explore the molecular mechanism of Chuanxiong Rhizoma processed with wine in enhancing anti-cerebral ischemia injury. MethodUltra high performance liquid chromatography tandem quadrupole orbitrap high resolution mass spectrometry （UHPLC-Q-Orbitrap HRMS） was used to qualitatively analyze the main chemical components in water extract of Chuanxiong Rhizoma based on the spectral information of compound， comparison of reference substance and references. The chemical pattern recognition method was used to screen the differential components of Chuanxiong Rhizoma before and after processing. Based on these differential components， the potential targets of differential components were predicted by online databases， and the related targets of cerebral ischemia were searched. Cytoscape 3.6.0 was used to establish the network diagram of differential components-action targets-diseases of Chuanxiong Rhizoma processed with wine. The protein-protein interaction （PPI） network of intersection targets was constructed by STRING 11.5. The potential targets of differential components against cerebral ischemia were analyzed by Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis through DAVID 6.8. At the same time， the chemical compounds with high relative content and increased peak area after wine processing were docked with their corresponding targets to verify the mechanism of enhanced effect after wine processing. ResultA total of 71 chemical components were identified from Chuanxiong Rhizoma， 34 differential components and 603 potential targets were screened out. At the same time， a total of 769 disease targets and 60 intersection targets were obtained. Seven key targets were identified through PPI network analysis， including JUN， signal transducer and activator of transcription 3 （STAT3）， mitogen-activated protein kinase 3 （MAPK3）， interleukin-1β （IL-1β）， vascular endothelial growth factor A （VEGFA）， Caspase-3 （CASP3） and mtrix metalloproteinase 9 （MMP9）. Tumor necrosis factor （TNF） signaling pathway was the main differential signaling pathway. The results of molecular docking showed that differential components （senkyunolide K， senkyunolide F， 3-n-butylphthalide， Z，Z′-6，8′，7，3′-diligustilide， ferulic acid and Z-ligustilide） and corresponding targets had good binding activities. ConclusionThe synergistic mechanism of Chuanxiong Rhizoma processed with wine may be related to the enhanced inhibitory effect of inflammatory reaction.

Objective: To investigate the characteristics of non-alcoholic fatty liver disease (NAFLD) and its associated factors in rheumatoid arthritis (RA) patients. Methods: This cross-sectional study recruited 385 RA patients [including 72 (18.7%) male and 313 (81.3%) female] who received abdominal sonographic examination from August 2015 to May 2021 at Department of Rheumatology, Sun Yat-Sen Memorial Hospital. There were 28 RA patients at 16-29 years old and 32, 80, 121, 99, 25 at 30-39, 40-49, 50-59, 60-69, ≥ 70 years old, respectively. Demographic and clinical data were collected including age, gender, history of alcohol consumption, disease duration, body mass index (BMI), waist circumference, blood pressure, RA disease activity indicators and previous medications. Logistic regression analyses were used to identify the associated factors of NAFLD in RA patients. Results: The prevalence of NAFLD was 24.2% (93/385) in RA patients, 26.3% (21/80) in 40-49 age group and 33.1% (40/121) in 50-59 age group. There were 22.1% (85/385) and 3.6% (14/385) RA patients with overweight and obese, in which the prevalence of NAFLD was 45.9% (39/85) and 78.6% (11/14) respectively, which was 2.6 folds and 4.5 folds that of RA patients with normal BMI. Although there was no significant difference of age, gender and RA disease activity indicators between RA patients with or without NAFLD, those with NAFLD had higher proportions of metabolic diseases including obese (11.8% vs. 1.0%), central obesity (47.3% vs. 16.8%), hypertension (45.2% vs. 29.8%) and type 2 diabetes mellitus (24.7% vs. 12.0%), consistent with higher levels of total cholesterol [(5.33±1.31) mmol/L vs. (4.73±1.12) mmol/L], triglyceride [(1.51±1.08) mmol/L vs. (0.98±0.54) mmol/L] and low-density lipoprotein cholesterol [(3.37±0.97) mmol/L vs. (2.97±0.78) mmol/L, all P<0.05]. Multivariate logistic regression analysis showed that BMI (OR=1.314) and triglyceride (OR=1.809) were the independent factors positively associated with NAFLD in RA patients. Conclusion: NAFLD is a common comorbidity in RA patients, especially in those with middle-aged, overweight or obese, which is associated with high BMI or high triglyceride. Screening and management of NAFLD in RA patients especially those with overweight, obese or dyslipidemia should be emphasized.
Adolescent ; Adult ; Aged ; Arthritis, Rheumatoid/epidemiology* ; Cholesterol, LDL ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Non-alcoholic Fatty Liver Disease/epidemiology* ; Obesity/epidemiology* ; Overweight/epidemiology* ; Triglycerides ; Young Adult

COVID-19 ; Humans ; Kidney Transplantation ; Retrospective Studies ; SARS-CoV-2 ; Transplant Recipients

OBJECTIVE: To analyze the survival, prognostic factors, and prevention of relapse after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with hematological malignancies, and explore the relationship between immune reconstruction, loss of human leukocyte antigen (HLA-loss) and relapse after transplantation. METHODS: From July 2012 to June 2020, 47 patients with hematological malignancies who relapsed after allo-HSCT were retrospectively analyzed, including 20 cases undergoing matched-sibling donor transplantation (MSD), 26 cases undergoing haploidentical transplantation (HID), and 1 case undergoing matched-unrelated donor transplantation (MUD). Multivariate analysis was used to analyze the risk factors related to post-relapse overall survival (PROS). RESULTS: All the 47 patients were implanted successfully. The cumulative incidence of grade Ⅱ-Ⅳ, Ⅲ/Ⅳ acute graft-versus-host disease (aGVHD) and chronic GVHD (cGVHD) was 40.4%, 10.6%, and 31.9%, respectively. The incidence of grade Ⅱ-Ⅳ and Ⅲ/Ⅳ aGVHD in HID group was 42.3% and 11.5%, while in MD group was 38.1% and 9.5% (P=0.579, P=1.000), and the incidence of cGVHD in the two groups was 34.6% and 28.6% (P=0.659). The PROS of patients with NK cell absolute count > 190 cells/μl 30 days after transplantation was higher than that of patients with NK cell absolute count ≤190 cells/μl (P=0.021). The 1-year and 3-year PROS of all the patients was 68.1% and 28.4%, respectively, while in the HID group was 78.9% and 40.3%, in the MD group was 54.4% and 14% (P=0.048). Multivariate analysis showed that grade Ⅱ-Ⅳ aGVHD and time of relapse < 3 months were independent risk factors of PROS (P<0.05). CONCLUSION The therapeutic effect of haploidentical transplantation in patients with relapsed hematological malignancies after allo-HSCT is better than that of matched donor transplantation. The high absolute count of NK cells 30 days after transplantation can increase PROS. Grade Ⅱ-Ⅳ aGVHD and time of relapse < 3 months have prognostic significance for long-term survival of patients with relapsed hematological malignancies after transplantation.
Graft vs Host Disease/prevention & control* ; Hematologic Neoplasms/therapy* ; Hematopoietic Stem Cell Transplantation ; Humans ; Neoplasm Recurrence, Local ; Retrospective Studies ; Siblings