ObjectiveTo explore the clinical efficacy and safety of Da Chaihutang （DCH） for the treatment of sepsis with Yang syndrome. MethodsA total of 70 patients suffering from sepsis with Yang syndrome were randomly divided into an observation group and a control group， with 35 cases in each group. They both received standard Western medicine treatment. The observation group was additionally given a dose of DCH， which was boiled into 100 mL and taken twice. The control group was additionally given an equal volume and dosage of warm water. The intervention lasted for three days. The 28-day all-cause mortality and the changes in the following indicators before and after intervention were compared between the two groups， including sequential organ failure assessment （SOFA）， acute physiology and chronic health evaluation Ⅱ （APACHE Ⅱ） score，white blood cell （WBC），the percentage of neutrophils （NEU%），C-reactive protein （CRP），procalcitonin （PCT），alanine transaminase （ALT），aspartate transaminase （AST），total bilirubin （TBil），creatinine （Cr），blood urea nitrogen （BUN），acute gastrointestinal injury （AGI） grade，gastrointestinal dysfunction score （GDS），serum intestinal fatty acid-binding protein （iFABP）， citrulline （CR），platelet （PLT），prothrombin time（PT），activated partial thromboplastin time （APTT），fibrinogen （Fib），international normalized ratio （INR），and D-dimer （D-D）. ResultsThere was no significant difference between the two groups regarding 28-day all-cause mortality. After the intervention，SOFA，WBC，PCT，and Cr were significantly decreased， and PLT was significantly increased in the control group （P<0.05）. SOFA，APACHE Ⅱ，NEU%，CRP，PCT，ALT，AST，Cr，BUN，AGI grade，GDS，and serum iFABP and CR were significantly improved in the observation group （P<0.05）. After the intervention，APACHE Ⅱ，PCT，AGI grade，GDS，and serum iFABP in the observation group were significantly lower than those in the control group ，while CR and PLT were higher （P<0.05，P<0.01）. There were significant differences regarding the gap of SOFA，APACHE Ⅱ，AST，TBil，AGI grade，GDS，iFABP，CR， and PLT between the two groups （P<0.05，P<0.01）. There were slight differences regarding PT，APTT，Fib，INR，and D-D between the two groups，which were in the clinical normal range. ConclusionOn the basis of Western medicine， DCH helped to reduce sepsis severity and improved multiple organ dysfunction with high clinical efficacy and safety， but further research on its impact on the prognosis of patients with sepsis is still required.

Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly implement arrhythmia classification, which provides significant clinical value for the early screening of arrhythmias. How to select arrhythmia features effectively under limited abnormal sample supervision is an urgent issue to address. This paper proposed an arrhythmia classification algorithm based on an adaptive multi-feature fusion network. The algorithm extracted RR interval features from ECG signals, employed one-dimensional convolutional neural network (1D-CNN) to extract time-domain deep features, employed Mel frequency cepstral coefficients (MFCC) and two-dimensional convolutional neural network (2D-CNN) to extract frequency-domain deep features. The features were fused using adaptive weighting strategy for arrhythmia classification. The paper used the arrhythmia database jointly developed by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT-BIH) and evaluated the algorithm under the inter-patient paradigm. Experimental results demonstrated that the proposed algorithm achieved an average precision of 75.2%, an average recall of 70.1% and an average F ₁-score of 71.3%, demonstrating high classification accuracy and being able to provide algorithmic support for arrhythmia classification in wearable devices.
Humans ; Arrhythmias, Cardiac/diagnosis* ; Algorithms ; Electrocardiography/methods* ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Deep Learning ; Classification Algorithms

Objective To construct and validate a risk prediction model for delayed healing of venous leg ulcer(VLU),so as to provide a reference basis for early identification of people at high risk of delayed healing.Methods Using a convenience sampling method,331 VLU patients attending vascular surgery departments in 2 tertiary A hospitals in Sichuan Province from January 2018 to December 2022 were selected as a modeling group and an internal validation group,and 112 patients admitted to another tertiary A hospital were selected as an external validation group.Risk factors for delayed healing in VLU patients were screened using univariate analysis,LASSO regression,and multivariate logistic regression analysis,and a risk prediction model was constructed using R software,and the predictive effects of the models were examined using the area under the receiver operating characteristic curve,the Hosmer-Lemeshow test,decision curve,and the bootstrap resampling for internal validation and spatial external validation were performed,respectively.Results The predictors that ultimately entered the prediction model were diabetes(OR=4.752),deep vein thrombosis(OR=4.104),lipodermatosclerosis(OR=5.405),ulcer recurrence(OR=3.239),and ankle mobility(OR=5.520).The model had good discrimination(AUC:0.819 for internal validation and 0.858 for external validation),calibration(Hosmer-Lemeshow test:χ2=13.517,P=0.095 for internal validation and χ2=3.375,P=0.909 for external validation)and clinical validity.Conclusion The model constructed in this study has good differentiation and calibration,and it can effectively predict people at high risk of delayed healing of VLU,which facilitates targeted clinical interventions to improve ulcer outcomes and reduce the risk of delayed ulcer healing.

Purpose: Oligometastatic non–small cell lung cancer (NSCLC) patients have been increasingly regarded as a distinct group that could benefit from local treatment to achieve a better clinical outcome. However, current definitions of oligometastasis are solely numerical, which are imprecise because of ignoring the biological heterogeneity caused by genomic characteristics. Our study aimed to profile the molecular alterations of oligometastatic NSCLC and elucidate its potential difference from polymetastasis. Materials and Methods: We performed next-generation sequencing to analyze tumors and paired peripheral blood from 77 oligometastatic and 21 polymetastatic NSCLC patients to reveal their genomic characteristics and assess the genetic heterogeneity. Results: We found ERBB2, ALK, MLL4, PIK3CB, and TOP2A were mutated at a significantly lower frequency in oligometastasis compared with polymetastasis. EGFR and KEAP1 alterations were mutually exclusive in oligometastatic group. More importantly, oligometastasis has a unique significant enrichment of apoptosis signaling pathway. In contrast to polymetastasis, a highly enriched COSMIC signature 4 and a special mutational process, COSMIC signature 14, were observed in the oligometastatic cohort. According to OncoKB database, 74.03% of oligometastatic NSCLC patients harbored at least one actionable alteration. The median tumor mutation burden of oligometastasis was 5.00 mutations/Mb, which was significantly associated with smoking, DNA damage repair genes, TP53 mutation, SMARCA4 mutation, LRP1B mutation, ABL1 mutation. Conclusion Our results shall help redefine oligometastasis beyond simple lesion enumeration that will ultimately improve the selection of patients with real oligometastatic state and optimize personalized cancer therapy for oligometastatic NSCLC.

Polygonum cuspidatum polyketide synthase 1 (PcPKS1) has the catalytic activity of chalcone synthase (CHS) and benzylidene acetone synthase (BAS), which can catalyze the production of polyketides naringenin chalcone and benzylidene acetone, and then catalyze the synthesis of flavonoids or benzylidene acetone. In this study, three amino acid sites (Thr133, Ser134, Ser33) that may affect the function of PcPKS1 were identified by analyzing the sequences of PcPKS1, the BAS from Rheum palmatum and the CHS from Arabidopsis thaliana, as well as the conformation of the catalytic site of the enzyme. Molecular modification of PcPKS1 was carried out by site-directed mutagenesis, and two mutants were successfully obtained. The in vitro enzymatic reactions were carried out, and the differences in activity were detected by high performance liquid chromatography (HPLC). Finally, mutants T133LS134A and S339V with bifunctional activity were obtained. In addition to bifunctional activities of BAS and CHS, the modified PcPKS1 had much higher BAS activity than that of the wild type PcPKS1 under the conditions of pH 7.0 and pH 9.0, respectively. It provides a theoretical basis for future use of PcPKS1 in genetic engineering to regulate the biosynthesis of flavonoids and raspberry ketones.
Amino Acid Sequence ; Fallopia japonica/metabolism* ; Polyketide Synthases/chemistry* ; Acetone ; Mutagenesis, Site-Directed ; Flavonoids/metabolism* ; Acyltransferases/metabolism*

Reynoutria japonica Houtt., belonging to Polygoneae of Polygonaceae, is a Chinese medicinal herb with the functions of draining dampness and relieving jaundice, clearing heat and detoxifying, dispersing blood stasis and relieving pain, and relieving cough and resolving phlegm. In this study, we carried out high-throughput sequencing for the chloroplast genome sequences of five cultivars of R. japonica and analyzed the genome structure and variations. The chloroplast genomes of the five R. japonica cultivars had two sizes (163 376 bp and 163 371 bp) and a typical circular tetrad structure composed of a large single-copy (LSC) region of 85 784 bp, a small single-copy (SSC) region of 18 616 bp, and a pair of inverted repeat (IR) regions (IRa/IRb) which are spaced apart. A total of 161 genes were obtained by annotation, which consisted of 106 protein-coding genes, 10 rRNA-coding genes, and 45 tRNA-coding genes. The total GC content was 36.7%. Specifically, the GC content in the LSC, SSC, and IR regions were 34.8%, 30.7%, and 42.7%, respectively. Comparison of the whole chloroplast genome among the five cultivars showed that trnk-UUU, rpoC1, petD, rpl16, ndhA, and rpl12 in coding regions had sequence variations. In the phylogenetic tree constructed for the 11 samples of Polygoneae, the five cultivars of R. japonica clustered into one clade near the root and was a sister group of Fallopia multiflora (Thunb.).
Base Composition ; Genome, Chloroplast/genetics* ; Open Reading Frames ; Phylogeny ; Reynoutria

Raspberry ketones have important therapeutic properties such as anti-influenza and prevention of diabetes. In order to obtain raspberry ketone from Chlamydomonas reinhardtii, two enzymes catalyzing the last two steps of raspberry ketone synthesis, i.e. 4-coumaryl-CoA ligase (4CL) and polyketide synthase (PKS1), were fused using a glycine-serine-glycine (GSG) tripeptide linker to construct an expression vector pChla-4CL-PKS1. The fusion gene 4CL-PKS1 driven by a PSAD promoter was transformed into a wild-type (CC125) and a cell wall-deficient C. reinhardtii (CC425) by electroporation. The results showed the recombinant C. reinhardtii strain CC125 and CC425 with 4CL-PKS1 produced raspberry ketone at a level of 6.7 μg/g (fresh weight) and 5.9 μg/g (fresh weight), respectively, both were higher than that of the native raspberry ketone producing plants (2-4 μg/g).
Acyl Coenzyme A ; Butanones ; Chlamydomonas reinhardtii/genetics* ; Ligases ; Polyketide Synthases

Tocilizumab has been reported to attenuate the "cytokine storm" in COVID-19 patients. We attempted to verify the effectiveness and safety of tocilizumab therapy in COVID-19 and identify patients most likely to benefit from this treatment. We conducted a randomized, controlled, open-label multicenter trial among COVID-19 patients. The patients were randomly assigned in a 1:1 ratio to receive either tocilizumab in addition to standard care or standard care alone. The cure rate, changes of oxygen saturation and interference, and inflammation biomarkers were observed. Thirty-three patients were randomized to the tocilizumab group, and 32 patients to the control group. The cure rate in the tocilizumab group was higher than that in the control group, but the difference was not statistically significant (94.12% vs. 87.10%, rate difference 95% CI-7.19%-21.23%, P = 0.4133). The improvement in hypoxia for the tocilizumab group was higher from day 4 onward and statistically significant from day 12 (P = 0.0359). In moderate disease patients with bilateral pulmonary lesions, the hypoxia ameliorated earlier after tocilizumab treatment, and less patients (1/12, 8.33%) needed an increase of inhaled oxygen concentration compared with the controls (4/6, 66.67%; rate difference 95% CI-99.17% to-17.50%, P = 0.0217). No severe adverse events occurred. More mild temporary adverse events were recorded in tocilizumab recipients (20/34, 58.82%) than the controls (4/31, 12.90%). Tocilizumab can improve hypoxia without unacceptable side effect profile and significant influences on the time virus load becomes negative. For patients with bilateral pulmonary lesions and elevated IL-6 levels, tocilizumab could be recommended to improve outcome.
Antibodies, Monoclonal, Humanized ; COVID-19/drug therapy* ; Humans ; SARS-CoV-2 ; Treatment Outcome