Objective To explore the risk factors related to afterload mismatch(AM)after transcatheter mitral valve repair(MitraClip).Methods This was a retrospective cohort study.48 patients hospitalized in the Department of Cardiovascular Medicine,the First Affiliated Hospital of Sun Yat-sen University from December 2021 to December 2023,who underwent MitraClip due to severe mitral regurgitation(MR)were included.Preoperative clinical data,laboratory tests,and preoperative and postoperative color Doppler echocardiographic examination results of surgical patients were collected.AM was defined as the left ventricular ejection fraction(LVEF)decreased by 15％or more after surgery compared with the one before(dLVEF≤-15％).Patients were divided into AM group and non-AM group according to whether afterload mismatch occurred.Univariate and multivariate logistic regression were used to analyze the risk factors of postoperative AM.Results Among 48 patients who underwent MitraClip,14 of them(29.2％)developed afterload-mismatched.For those without AM,their overall LVEF was improved after the operation;for patients in both AM group and non-AM group,their overall left ventricular end-diastolic diameter(LVEDd),left ventricular end-diastolic diameter volume index(LVEDVi)was reduced compared with the preoperative ones.Univariate regression analysis showed that C-reactive protein levels(OR 1.98,95％CI 1.02-3.83),platelets(OR 2.22,95％CI 1.08-4.53),systemic immune inflammation index(OR 1.96,95％CI 1.03-3.71)were associated with an increased risk of AM in patients undergoing MitraClip(all P＜0.05),while those with larger right atrial diameter(OR 0.35,95％CI 0.13-0.93)or moderate to severe tricuspid regurgitation(OR 0.19,95％CI 0.05-0.81)were less likely to develop into AM(both P＜0.05),which is still satisfied after adjustment.Conclusions For patients who underwent MitraClip,C-reactive protein levels,platelets and systemic immune inflammation index(SII)are associated with an increased risk of afterload mismatched,while those with larger right atrial diameter or moderate to severe tricuspid regurgitation were less likely to develop into AM.

BACKGROUND: Patients with atrial fibrillation (AF) and prior stroke history have a high risk of cardiovascular events despite anticoagulation therapy. It is unclear whether catheter ablation (CA) has further benefits in these patients. METHODS: AF patients with a previous history of stroke or systemic embolism (SE) from the prospective Chinese Atrial Fibrillation Registry study between August 2011 and December 2020 were included in the analysis. Patients were matched in a 1:1 ratio to CA or medical treatment (MT) based on propensity score. The primary outcome was a composite of all-cause death or ischemic stroke (IS)/SE. RESULTS: During a total of 4.1 ± 2.3 years of follow-up, the primary outcome occurred in 111 patients in the CA group (3.3 per 100 person-years) and in 229 patients in the MT group (5.7 per 100 person-years). The CA group had a lower risk of the primary outcome compared to the MT group [hazard ratio (HR) = 0.59, 95% CI: 0.47-0.74, P < 0.001]. There was a significant decreasing risk of all-cause mortality (HR = 0.43, 95% CI: 0.31-0.61, P < 0.001), IS/SE (HR = 0.73, 95% CI: 0.54-0.97, P = 0.033), cardiovascular mortality (HR = 0.32, 95% CI: 0.19-0.54, P < 0.001) and AF recurrence (HR = 0.33, 95% CI: 0.30-0.37, P < 0.001) in the CA group compared to that in the MT group. Sensitivity analysis generated consistent results when adjusting for time-dependent usage of anticoagulants. CONCLUSIONS In AF patients with a prior stroke history, CA was associated with a lower combined risk of all-cause death or IS/SE. Further clinical trials are warranted to confirm the benefits of CA in these patients.

Abstract：Objective To predict the structure and function of sterol O⁃acyltransferase 1（SOAT1）related to hepatocellular carcinoma（HCC）by using bioinformatics tools，in order to understand its mechanism as the marker and therapeutic target of S⁃Ⅲ subtype. Methods The structure，function and protein interaction of SOAT1 were predicted and analyzed by using databases or softwares such as NCBI，STRING，Protscale，SignalP，TMHMM，PSORT，SOPMA，SWISS ⁃ MODEL， NetNGlyc，NetOGlyc，Netphos and ProtParam. Results The protein encoded by SOAT1 was a hydrophobic protein with good stability，which was a nonclassical pathway protein with 8 transmembrane regions，mainly distributed among the cell membrane. SOAT1 was expressed in many tissues，while most of them in the adrenal gland，which showed multiple phosphorylation sites and was mainly involved in the synthesis and catabolism of cholesterol. Conclusion Bioinformatics analysis of structure and function of SOAT1 showed that SOAT1 lipid synthesis and catabolism pathways played an important role，and lipid expression was closely related to the development of cancer，indicating that the treatment of HCC may be achieved by regulating the expression of SOAT1 gene.

Slicing is critical in the processing of Chinese materia medica(CMM) processed product and the specification(thickness) is closely related to the quality of the decoction. On the basis of clarifying the concept and evolution of slicing of CMM processed product by reviewing the Chinese herbal classics of the past dynasties and general rules of local processing standards, this study discussed the development history of slicing specifications in general rules of Chinese Pharmacopoeia(2020 edition), analyzed the current situation and key problems, and proposed the thinking and suggestion on promoting the sound development of slicing of CMM processed product. Since 2000, the slicing thickness of CMM processed product in the general rules of local CMM processed product processing specifications newly revised and issued by 27 provinces, autonomous regions, and municipalities has been consistent with that in the general rules of the Chinese Pharmacopoeia(2020 edition). The standard that the thickness of extremely thin pieces is less than 0.5 mm is rarely retained, and the pieces in 0.5-1 mm thickness have not been found on the market, which is consistent with the provisions of the general rules of the Chinese Pharmacopoeia. This study can provide a historical and modern basis for the rationality of slicing of CMM processed product.
Materia Medica ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional ; Reference Standards

Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. Materials and Methods: Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists. Results: Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively. Conclusion CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.

Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. Materials and Methods: Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists. Results: Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively. Conclusion CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.

OBJECTIVE: To evaluate the efficacy and safety of a Chinese medicine (CM) Modified Qufeng Runmian Powder (, MQFRMP) for the treatment of acne vulgaris with CM syndromes of dampness and blood stasis. METHODS: In this multicenter, randomized, double-blind, placebo-controlled clinical trial, 220 acne vulgaris patients with CM syndrome of dampness and blood stasis were included and randomly assigned using a central area group random design to receive either MQFRMP or the placebo, with 110 cases in each group. MQFRMP or a placebo at 145 g/bag were administered once daily for 4 weeks, respectively. The primary index of efficacy was the effective rate according to the acne severity score (ASS). The secondary indices of efficacy included the changes in the dermatology life quality index (DLQI) score, VISIA scores (spots, pores, brown spots, porphyrins and red areas) and skin assessment (skin pH, sebum amount and hydration) according to a SOFT skin multianalyzer. RESULTS: (1) Follow-up: a total of 204 patients completed the follow-up, with 103 in the treatment group and 101 in the control group. (2) Effective rate: the total effective rate of the treatment group was significantly higher than the control group [83.5% (86/103) vs. 31.7% (32/101), P<0.01)] with 95% confidence interval of 39.3%-66.4%. (3) DLQI: DLQI scores were significantly decreased the treatment and control groups (both P<0.01), but the treatment group was more obvious than the placebo group (P<0.01). (4) VISIA scores: the scores of spots, brown spots and red areas in the treatment group decreased compared with baseline (P<0.05). In the control group, the scores of brown spots and pores decreased compared with baseline (P<0.05). The improvement was more obvious in the treatment group than in the control group for all items (P<0.05). (5) Skin assessment: the pH and sebum score in the both groups decreased drastically compared with the baseline (all P<0.01), however, the improvement was more obvious in the treatment group than in the control group (P<0.01). The hydration amount in the two groups showed no statistically significant difference compared with the baseline (both P>0.05). (6) Safety: two cases of mild drug allergy were observed in the treatment group. CONCLUSION MQFRMP was effective and safe for the treatment of acne vulgaris with syndromes of dampness and blood stasis. (No. ChiCTR1900020479).

OBJECTIVE: To evaluate the effect of baicalin on subarachnoid hemorrhage (SAH) in rats and explore the potential mechanisms. METHODS: Sprague-Dawley rats underwent experimental SAH and received treatment with baicalin at 10 or 50 mg/kg after 2 and 12 h of SAH. Neurological scores, brain water content, Evans-blue extravasation, and levels of glutathione peroxidase (GSH-Px), superoxide dismutase (SOD), myeloperoxidase (MPO), and malondialdehyde (MDA) were measured 24 h after SAH. Expression of nuclear factor erythroid-related factor 2 (Nrf2), NAD(P)H: quinone oxidoreductase 1 (NQO1), matrix metalloproteinase-9 (MMP-9), aquaporin 4 (AQP4), occludin, and zonulaoccludens-1 (ZO-1) were detected in the brain by Western blot. Heme oxygenase-1 (HO-1) was detected by quantitative polymerase chain reaction, and tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) were assessed by enzyme-linked immunosorbent assay. RESULTS: Baicalin attenuated EBI 24 h after SAH in rats (P<0.05). Baicalin elevated neurological scores, GSH-Px, SOD, and increased the expression of Nrf2, NQO1, HO-1, occludin, and ZO-1 in SAH rats (P<0.05 or P<0.01). Baicalin reduced MPO, MDA, and the expression of MMP-9, AQP4, TNF-α, and IL-1β (P<0.05 or P<0.01). CONCLUSION Baicalin reduced SAH-induced EBI, partially via activation of the Nrf2/HO-1 pathway and inhibition of MMP-9 and AQP4.

Objective:To investigate the changes of genus-level gut microbiome in patients with spinal cord injury and its significance in clinical rehabilitation. Methods:Fecal samples were collected from 23 patients with spinal cord injury (patients group) and 21 healthy volunteers (control group). Gut microbiome was detected by 16S rDNA high-throughput sequencing. Bioinformatics methods such as species composition analysis and Random Forest were used to analyze the distribution and difference of genus-level gut microbiome between two groups. Results:Compared with the control group, the increased important marker genera in the patients group were as follows: UBA1819, Ruminiclostridium 9, Ruminococcaceae NK4A214 group, Ruminococcus 2, Ruminococceae UCG-005, Ruminiclostridium 5, Flavonifractor belonging to Ruminococceae; Aglistes, dgA-11 gut group, Rikenaceae RC9 gut group belonging to Rikenellaceae; [Eubacterium] oxidoreducens group belonging to Lachnospiraceae; Intestinibacter belonging to Peptostreptococcaceae; Escherichia-Shigella belonging to Enterobacteriaceae; Tannerellaceae belonging to Parabacteroides (|U| > 1.962, P < 0.05). The decreased marker genera in the patients group was Fusobacterium of Fusobacteriaceae (|U| = -2.284, P < 0.05). Conclusion:There are significant differences of gut microbiome in spinal cord injury patients. The relative abundance of Ruminococcaceae relating to depression, Ruminococcus relating to central nervous system diseases, and enteropathogenic bacteria such as Escherichia-Shigella and Erysipelothrix increase; and the relative abundance of butyrate-producing bacteria and anti-inflammatory bacteria benefitting to the intestine decrease; which may play a role in clinic.

OBJECTIVE: To investigate apoptotic effects of berberine, a significant alkaloids component existing in Rhizoma coptidis, and its possible acting mechanism in insulinoma cells. METHODS: Different concentrations of berberine were used to treat mouse insulinoma (MIN6) cells for various period of time. The viability and apoptosis of the cells were analyzed using methylthiazolyldiphenvl-tetrazolium bromide assay, flow cytometry and enzyme-linked immuno sorbent assay. Changes in the relating pro- and anti-apoptosis proteins were detected by western-blotting. RESULTS: The half-maximal inhibitory concentration (IC) of berberine was 5.7 μmol/L on MIN6 cells viability for 16 h. Berberine caused a 20% reduction (P<0.05) in cell number after only 4-h incubation; which reached 50% after 24 h (P<0.01). Berberine treatment for 16 h significantly increased the level of DNA fragmentation. The flow cytometry showed the apoptotic rate increased 2.9- and 4.6-fold after treating with berberine (5 μmol/L) for 8 and 16 h, while 3- and 8.7-fold after 10 μmol/L treatment for 8 and 16 h (P<0.01). Berberine treatment dramatically elevated the expression ratio of Bax to Bcl-2. Meanwhile, berberine notably increased the apoptosis-inducing factors and cytochrome C transforming from the mitochondria to the cytoplasm. Apoptotic protease-activating factor 1 (Apaf-1) was subsequently activated after cytochrome C release. Furthermore, caspase-3 and poly adenosine diphosphate-ribose polymerase were also activated to trigger apoptosis cascade. CONCLUSION High concentration (5 and 10 μmol/L) of berberine could induce the apoptosis of MIN6 cells through cytochrome C/Apaf-1/caspase-3 and apoptosis inducing factor (AIF) pathway.