Objective The aim of this study was to investigate the correlation between the interaction of uric acid and inflammatory factors and hyperuricemia in overweight/obese patients. Methods The personnel with hyperuricemia who underwent physical examination in our hospital from September 2021 to September 2022 were selected as the study subjects, and they were divided into 100 cases of overweight group and 90 cases of obese group according to the BMI index; 120 cases of healthy and non-hyperuricemic personnel were randomly selected as the control group; venous blood of the three groups was collected in 5 mL after 8 h of fasting, and were tested respectively for serum uric acid, lipid indexes and inflammatory factors: IL-6, IL-2, IFN-γ, TNF-α, IL-4, IL-10. Results Glucose, triglycerides, total cholesterol, and LDL were significantly higher in the obese group versus the overweight group (P<0.001), while HDL was significantly lower than the control group (P<0.001), and these changes were more pronounced in the obese group (P<0.001).The Pearson correlation coefficient pointed out that the levels of serum uric acid in patients with hyperuricosuric acid were significantly associated with the pro-inflammatory factors IL- 6, IL-2, IFN-γ, and TNF-α were significantly positively correlated (P<0.001), whereas they were significantly negatively correlated with the anti-inflammatory factors IL-4, IL-10 (P<0.001). Conclusion High uric acid levels in overweight/obese patients can cause enhanced inflammatory responses and reduced expression levels of anti-inflammatory factors, and the interaction between uric acid and pro-inflammatory factors aggravates the condition of patients with hyperuricemia.

In this report, the protective effect and molecular mechanism of Chaihu Shugan San-containing serum on corticosterone(CORT)-induced mitochondrial damage in pheochromocytoma(PC12) cells was studied based on CORT-induced rat PC12 cell model. The cultured cells were divided into five groups: blank control group, CORT group(400 μmol·L~(-1) CORT), Chaihu Shugan San-containing serum group(400 μmol·L~(-1) CORT + 10% Chaihu Shugan San-containing serum), control serum group(400 μmol·L~(-1) CORT + 10% control serum), and fluoxetine group(400 μmol·L~(-1) CORT + 10% fluoxetine-containing serum). The study was carried out by cell activity detection, mitochondrial morphology observation, membrane potential measurement, energy metabolism analysis, and mitochondrial dynamics-related protein detection. The results showed that CORT treatment significantly reduced the survival rate of PC12 cells, altered mitochondrial morphology, and decreased mitochondrial membrane potential and adenosine triphosphate(ATP) synthetic rate. Both Chaihu Shugan San-and fluoxetine-containing serum significantly increased the survival rate of CORT-treated PC12 cells and the ATP synthetic rate in the mitochondria. Unlike fluoxetine, Chaihu Shugan San-containing serum significantly inhibited the decrease in mitochondrial membrane potential caused by CORT and increased the oxygen consumption rate(OCR) values of both mitochondrial maximum respiration and reserve respiration capacity. Western blot analysis showed that CORT induced upregulated protein expressions of dynamin-related protein 1(Drp1) and peroxisome proliferator-activated receptor gamma co-activator 1α(PGC-1α) in PC12 cells and specific protein expression of optic atrophy protein 1(OPA1), yet it repressed the protein expressions of silent information regulator 1(SIRT1) and mitochondrial fusion protein 1(Mfn1) in PC12 cells. Both Chaihu Shugan San-and fluoxetine-containing serum significantly inhibited the protein expression of Drp1. However, only Chaihu Shugan San-containing serum could significantly inhibit the CORT-induced upregulation protein of PGC-1α. RESULTS:: herein suggest that Chaihu Shugan San-containing serum can alleviate CORT-induced damage in PC12 cells, which may be related to the mitochondrial fragmentation/lipid peroxidation protection by Drp1 inhibition, as well as mitochondrial dynamics and energy metabolism mediated by PGC-1α/SIRT1 signaling pathway.
Animals ; PC12 Cells ; Rats ; Mitochondrial Dynamics/drug effects* ; Mitochondria/metabolism* ; Corticosterone/adverse effects* ; Membrane Potential, Mitochondrial/drug effects* ; Drugs, Chinese Herbal/pharmacology* ; Protective Agents/pharmacology* ; Cell Survival/drug effects*

Objective:To analyze the distribution characteristics of prognostic factors affecting recurrence in peripheral T-cell lymphoma(PTCL)patients with different levels of histone deacetylase(HDAC)based on latent class analysis.Methods:112 PTCL patients who were treated in our hospital from September 2012 to September 2019 were selected and divided into recurrence group and non-recurrence group.The clinical data of the two groups of patients were compared.Multivariate logistic regression was used to analyze the risk factors for recurrence.Latent class analysis was used to compare the distribution characteristics of prognostic factors affecting recurrence between the high-risk group and the low-risk group.Results:There were 87 patients(77.68％)in recurrence group and 25 patients(22.32％)in non-recurrence group.The result of multivariate logistic regression showed that ECOG score ≥2,Ann Arbor stage Ⅲ-Ⅳ,IPI score＞2,bone marrow involvement,elevated serum β2-microglobulin(β2-MG),short-term efficacy not reaching complete remission(CR)or partial remission(PR),and the high expression of HDAC were all independent risk factors for recurrence in patients with PTCL(P＜0.05).The recurrence rate of patients with high HDAC levels was significantly higher than that of patiens with low HDAC levels(P＜0.05).The results of cluster analysis showed that the risk of recurrence was obviously clustered,and the patients could be divided into high recurrence risk group(HDAC＞5 points)and low recurrence risk group(HDAC≤5 points).The results of latent class analysis showed that patients with multiple risk factors account for a higher proportion in the high recurrence risk group,compared with the low recurrence risk group(P＜0.05).Conclusion:There are differences in recurrence rates among PTCL patients with different HDAC levels and in distribution characteristics of risk factors between high recurrence risk and low recurrence risk groups.

Objective:To screen interleukin(IL)-1β secretion-related membrane transporters by macrophage experiment in vitro and conventional knockout mice.Methods:THP-1 cell line was differentiated to obtain human THP-1-derived macrophages,and the primary macrophages were obtained from human peripheral blood.FVB wild-type mice with the same sex and age were used as the controls of MRP1 knockout mice.The macrophages in abdominal cavity and bone marrow of mice were cultivated.The cells were treated with ABCC1/MRP1,ABCG2/BCRP,ABCB1/P-gp,OATP1B1,and MATE transporter inhibitors,then stimulated by lipopolysaccharide and adenosine triphosphate.The secretion level of IL-iβ was detected by ELISA,Western blot,and immunofluorescence.Results:After inhibiting ABCC1/MRP1 transporter,the secretion of IL-1β decreased significantly,while inhibition of the other 4 transporters had no effect.In animal experiment,the level of IL-1 β secreted by macrophages in bone marrow of MRP1 knockout mice was significantly lower than control group(P＜0.05).Conclusion:ABCC1/MRP1 transporter is a newly discovered IL-1β secretion pathway,which is expected to become a new target for solving clinical problems such as cytokine release syndrome.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective: To investigate the clinical features and long-term prognostic factors of diabetic patients with low or intermediate complexity coronary artery disease (CAD) post percutaneous coronary intervention (PCI). Methods: This was a prospective, single-centre observational study. Consecutive diabetic patients with SYNTAX score (SS)≤32 undergoing PCI between January and December 2013 in Fuwai hospital were included in this analysis. The patients were divided into two groups based on SS, namely SS≤22 group and SS 23-32 group. Multivariate Cox regression analysis was performed to identify independent factors related to poor 5-year prognosis. The primary outcomes were cardiac death and recurrent myocardial infarction, the secondary outcomes were all cause death and revascularization. Results: Of the 3 899 patients included in the study, 2 888 were men (74.1%); mean age was 59.4±9.8 years. There were 3 450 patients in the SS≤22 group and 449 patients in the SS 23-32 group. Compared with SS≤22 group, the incidence of revascularization was higher in SS 23-32 group (18.9% (85/449) vs. 15.2% (524/3450), log-rank P=0.019). There was no significant difference in all-cause death, cardiac death and recurrent myocardial infarction between the two groups (log-rank P>0.05). Multivariate Cox regression analysis showed that age (HR=1.05, 95%CI 1.02-1.08, P<0.001), chronic obstructive pulmonary disease (HR=3.12, 95%CI 1.37-7.07, P=0.007) and creatinine clearance rate (CCr)<60 ml/min (HR=3.67, 95%CI 2.05-6.58, P<0.001) were independent risk factors for 5-year cardiac death, while left ventricular ejection fraction (HR=0.94, 95%CI 0.91-0.96, P<0.001) was a protective factor. Previous PCI (HR=2.04, 95%CI 1.38-3.00, P<0.001), blood glucose level≥11.1 mmol/L on admission (HR=2.49, 95%CI 1.32-4.70, P=0.005) and CCr<60 ml/min (HR=1.85, 95%CI 1.14-2.99, P=0.012) were independent risk factors for 5-year recurrent myocardial infarction. The SS of 23-32 was independently associated with risk of revascularization (HR=1.54, 95%CI 1.09-2.16, P=0.014), after adjusting for residual SS. Residual SS was not a risk factor for 5-year prognosis. Conclusions: In diabetic patients with low-or intermediate complexity CAD, SS 23-32 is associated with increased risk of 5-year revascularization; the clinical characteristics of the patients are associated with the long-term mortality and recurrent myocardial infarction, but not related to revascularization.
Male ; Humans ; Middle Aged ; Aged ; Female ; Coronary Artery Disease/surgery* ; Stroke Volume ; Percutaneous Coronary Intervention ; Prospective Studies ; Treatment Outcome ; Ventricular Function, Left ; Prognosis ; Risk Factors ; Myocardial Infarction/etiology* ; Diabetes Mellitus

Prunus mume is an edible and medicinal material, and Mume Fructus is its processed product, which was first recorded in Shennong's Classic of Materia Medica(Shen Nong Ben Cao Jing). It is an effective drug for stopping diarrhea with astringents and promoting fluid production to quiet ascaris. By consulting the ancient herbal works of the past dynasties, modern codes, and other rela-ted literature, this paper sorted out the medicinal evolution of Mume Fructus, examined the ancient efficacy of Mume Fructus and the main indications, and summarized the inclusion of Mume Fructus in national and provincial standards. It is recorded in the ancient herbal works of the past dynasties that Mume Fructus can be processed by various methods such as roasting, stir-frying or micro-frying, stir-frying with charcoal, single steaming, steaming with wine, and steaming after soaking in wine or vinegar, and prepared into pills, powders, and ointments, which are used in the treatment of fatigue, diabetes, malaria, dysentery, ascariasis, and other diseases. Mume Fructus has been included in nine editions of Chinese Pharmacopoeia and 19 provincial and municipal preparation specifications. The processing method of Mume Fructus is determined, namely, clean P. mume should be softened by moistening in water or steaming and pitted. By reviewing the effects of processing on its chemical composition, pharmacological effects, and its modern clinical application, this paper identified the following issues. The ancient application methods of Mume Fructus are diverse but less commonly used in modern times, there is a lack of standardized research on the processing, and the research on the changes caused by the difference in Mume Fructus before and after processing is not deep. Therefore, it is necessary to further investigate the change pattern of its chemical composition before and after processing and its correlation between its medicinal activity to standardize the processing technology and provide a solid basis for the use of Mume Fructus in parts and its quality control.
Drugs, Chinese Herbal/pharmacology* ; Materia Medica/analysis* ; Fruit/chemistry* ; Quality Control ; Prunus/chemistry* ; Medicine, Chinese Traditional

OBJECTIVE: To investigate the optimal duration of dual antiplatelet therapy (DAPT) in patients with diabetes mellitus (DM) requiring complex percutaneous coronary intervention (PCI). METHODS: A total of 2403 patients with DM who underwent complex PCI from January to December 2013 were consecutively enrolled in this observational cohort study and divided according to DAPT duration into a standard group (11-13 months, n = 689) and two prolonged groups (13-24 months, n = 1133; > 24 months, n = 581). RESULTS: Baseline characteristics, angiographic findings, and complexity of PCI were comparable regardless of DAPT duration. The incidence of major adverse cardiac and cerebrovascular event was lower when DAPT was 13-24 months than when it was 11-13 months or > 24 months (4.6% vs. 8.1% vs. 6.0%, P = 0.008), as was the incidence of all-cause death (1.9% vs. 4.6% vs. 2.2%, P = 0.002) and cardiac death (1.0% vs. 3.0% vs. 1.2%, P = 0.002). After adjustment for confounders, DAPT for 13-24 months was associated with a lower risk of major adverse cardiac and cerebrovascular event [hazard ratio (HR) = 0.544, 95% CI: 0.373-0.795] and all-cause death (HR = 0.605, 95% CI: 0.387-0.944). DAPT for > 24 months was associated with a lower risk of all-cause death (HR = 0.681, 95% CI: 0.493-0.942) and cardiac death (HR = 0.620, 95% CI: 0.403-0.952). The risk of major bleeding was not increased by prolonging DAPT to 13-24 months (HR = 1.356, 95% CI: 0.766-2.401) or > 24 months (HR = 0.967, 95% CI: 0.682-1.371). CONCLUSIONS For patients with DM undergoing complex PCI, prolonging DAPT might improve the long-term prognosis by reducing the risk of adverse ischemic events without increasing the bleeding risk.

BACKGROUND: The optimal apolipoprotein or lipid measures for identifying statin-treated patients with coronary artery disease (CAD) at residual cardiovascular risk remain controversial. This study aimed to compare the predictive powers of apolipoprotein B (apoB), non-high-density lipoprotein cholesterol (non-HDL-C), low-density lipoprotein cholesterol (LDL-C), apoB/apolipoprotein A-1 (apoA-1) and non-HDL-C/HDL-C for myocardial infarction (MI) in CAD patients treated with statins in the setting of secondary prevention. METHODS: The study included 9191 statin-treated CAD patients with a five-year median follow-up. All measures were analyzed as continuous variables and concordance/discordance groups by medians. The hazard ratio (HR) with 95% CI was estimated by Cox proportional hazards regression. Patients were classified by the clinical presentation of CAD for further analysis. RESULTS: The high-apoB-low-LDL-C and the high-non-HDL-C-low-LDL-C categories yielded HR of 1.40 (95% CI: 1.04-1.88) and 1.51 (95% CI: 1.07-2.13) for MI, respectively, whereas discordant high LDL-C with low apoB or non-HDL-C was not associated with the risk of MI. No association of MI with discordant apoB versus non-HDL-C, apoB/apoA-1 versus apoB, non-HDL-C/HDL-C versus non-HDL-C, or apoB/apoA-1 versus non-HDL-C/HDL-C was observed. Similar patterns were found in patients with acute coronary syndrome. In contrast, no association was observed between any concordance/discordance category and the risk of MI in patients with chronic coronary syndrome. CONCLUSIONS ApoB and non-HDL-C better predict MI in statin-treated CAD patients than LDL-C, especially in patients with acute coronary syndrome. ApoB/apoA-1 and non-HDL-C/HDL-C show no superiority to apoB and non-HDL-C for predicting MI.