Objective To investigate the value of Habib 4X in hepatic resection. Methods The clinical outcome of 21 patients with liver disease who received liver resection at the Tianjin Third Central Hospital from November 2009 to April 2010 were retrospectively evaluated. All the operations were carried out by using Habib 4X. Results All patients received hepatectomy, including right hepatectomy in three patients, left hepatectomy in one patient, multiple segmentectomy in nine patients, single segmentectomy in seven patients and partial liver resection in one patient. All tumors were reseeted completely. The mean operation time was (50±25) minutes and the mean blood loss was(129±117)ml. No patient was transferred to ICU. Three patients were complicated with bile leakage, one with lymphatic leakage and four with pleural effusion, and they were cured by non-surgical treatment. There were no patients with postoperative hemorrhage, incision infection or hepatic failure. No mortality was observed. The mean postoperative hospital stay was(19±14)days. Conclusions Radiofrequency energy was applied along the margins of the tumor to create zones of necrosis before resection with a scalpel, offering hepatobiliary surgeons an additional method for performing liver resections with minimal blood loss, low morbidity and mortality rates. As for malignant tumors, minor or major liver resection assisted by Habib 4X is safe, and it can reduce the chance of positive incisal margin.

OBJECTIVETo study the dynamic accumulation of dry matter and index components and provide reference to the manual cultural technique of Pinellia ternata.

METHODSeedlings of Taizhou P. ternata were used as the pot experiment material, and the contents of free total organic acid and guanosine of each organ were determined at different stages of spring and autumn period.

RESULTP. ternata had two growth climax in spring and autumn. Under the same condition of cultivation and management, dry matter largely accumulated in spring. The contents of free total organic acid and guanosine was ascending during the growth period, but dropped during sprout tumble bolting and sprout tumble stage.

CONCLUSIONHigh temperature and bolting affect the accumulation of organic acids significantly, it is reasonable to prevent the temperature stress in production.

Acids ; metabolism ; Guanosine ; metabolism ; Hot Temperature ; Pinellia ; chemistry ; metabolism ; Seasons ; Seedlings ; chemistry ; metabolism

OBJECTIVETo study the different and the variety of four organic acids in leaves of Isatis indigotica among different cultivated populations in water stress condition and healthy plant.

METHODFour kinds of organic acids, such as oxalic acid, malic acid, ascorbic acid and citric acid from the leaves, were detected by HPLC.

RESULTSignificant differences of four organic acids in the leaves of Beijing, Mongolia, Hebei and Shanxi cultivated populations. Compared with the healthy plant, the content of oxalic acid, malic acid and citric acid in water stress were increased, while the content of ascorbic acid was decreased.

CONCLUSIONContents of four organic acids can act as the guideline factor in I. indigotica because they were related with the water stress condition.

Ascorbic Acid ; chemistry ; metabolism ; China ; Chromatography, High Pressure Liquid ; Citric Acid ; chemistry ; metabolism ; Dehydration ; Isatis ; chemistry ; metabolism ; Malates ; chemistry ; metabolism ; Oxalic Acid ; chemistry ; metabolism ; Plant Leaves ; chemistry ; metabolism

Intelligent drug delivery is a promising strategy for cancer therapies. In recent years, with the rapid development of synthetic biology, some properties of bacteria, such as gene operability, excellent tumor colonization ability, and host-independent structure, make them ideal intelligent drug carriers and have attracted extensive attention. By implanting condition-responsive elements or gene circuits into bacteria, they can synthesize or release drugs by sensing stimuli. Therefore, compared with traditional drug delivery, the usage of bacteria for drug loading has better targeting ability and controllability, and can cope with the complex delivery environment of the body to achieve the intelligent delivery of drugs. This review mainly introduces the development of bacterial-based drug delivery carriers, including mechanisms of bacterial targeting to tumor colonization, gene deletions or mutations, environment-responsive elements, and gene circuits. Meanwhile, we summarize the challenges and prospects faced by bacteria in clinical research, and hope to provide ideas for clinical translation.

Natural extracellular vesicles (EVs) play important roles in many life processes such as in the intermolecular transfer of substances and genetic information exchanges. Investigating the origins and working mechanisms of natural EVs may provide an understanding of life activities, especially regarding the occurrence and development of diseases. Additionally, due to their vesicular structure, EVs (in small molecules, nucleic acids, proteins, etc.) could act as efficient drug-delivery carriers. Herein, we describe the sources and biological functions of various EVs, summarize the roles of EVs in disease diagnosis and treatment, and review the application of EVs as drug-delivery carriers. We also assess the challenges and perspectives of EVs in biomedical applications.

BACKGROUND: Breast cancer patients who are positive for hormone receptor typically exhibit a favorable prognosis. It is controversial whether chemotherapy is necessary for them after surgery. Our study aimed to establish a multigene model to predict the relapse of hormone receptor-positive early-stage Chinese breast cancer after surgery and direct individualized application of chemotherapy in breast cancer patients after surgery. METHODS: In this study, differentially expressed genes (DEGs) were identified between relapse and nonrelapse breast cancer groups based on RNA sequencing. Gene set enrichment analysis (GSEA) was performed to identify potential relapse-relevant pathways. CIBERSORT and Microenvironment Cell Populations-counter algorithms were used to analyze immune infiltration. The least absolute shrinkage and selection operator (LASSO) regression, log-rank tests, and multiple Cox regression were performed to identify prognostic signatures. A predictive model was developed and validated based on Kaplan-Meier analysis, receiver operating characteristic curve (ROC). RESULTS: A total of 234 out of 487 patients were enrolled in this study, and 1588 DEGs were identified between the relapse and nonrelapse groups. GSEA results showed that immune-related pathways were enriched in the nonrelapse group, whereas cell cycle- and metabolism-relevant pathways were enriched in the relapse group. A predictive model was developed using three genes ( CKMT1B , SMR3B , and OR11M1P ) generated from the LASSO regression. The model stratified breast cancer patients into high- and low-risk subgroups with significantly different prognostic statuses, and our model was independent of other clinical factors. Time-dependent ROC showed high predictive performance of the model. CONCLUSIONS A multigene model was established from RNA-sequencing data to direct risk classification and predict relapse of hormone receptor-positive breast cancer in Chinese patients. Utilization of the model could provide individualized evaluation of chemotherapy after surgery for breast cancer patients.
Humans ; Female ; Breast Neoplasms/genetics* ; East Asian People ; Neoplasm Recurrence, Local/genetics* ; Breast ; Algorithms ; Chronic Disease ; Prognosis ; Tumor Microenvironment