Objective To observe the process of polyamidoamine dendrimer modified single walled carbon nanotubes complexes (CNT-PAMAM-D) entering into pancreatic cancer BxPC3 cells, and to evaluate its safety as a vector. Methods The CNT-PAMAM-D were prepared by ultrasound, mixing and rinsing, and the morphology was characterized by atom force microscopy and transmission electron microscope. Then the prepared CNT-PAMAM-D was incubated with human pancreatic cancer cell line BxPC3 cells for 12, 48, 72hours, and then the cells were collected. Distribution of CNT-PAMAM-D in cells and cell ultrastructure was observed by transmission electron microscopy. Results After the combination of PAMAM-D and CNT, the surface of CNT was surrounded by dendrimer and nanocomposite particles with a size of 20 nm was formed. It was showed that CNT-PAMAM-D could be transfected into human pancreatic cancer cells by cell pinocytotic way, and it entered cytoplasm at 12 h. With the extension of the transfecting time, CNT-PAMAM-D could enter lysosomal and nucleus, but the morphology and ultrastructure ocf BxPC 3 cells was not significantly changed. Conclusions The CNT-PAMAM-D is a highly effective and safe nano vector.

Objective:To study the optimal timing of laparoscopic cholecystectomy (LC) after percutaneous transhepatic gallbladder drainage (PTGBD) for grade Ⅱ-Ⅲ acute cholecystitis.Methods:A multicenter, single blind and randomized controlled study was conducted at Shanghai Fifth People's Hospital Affiliated to Fudan University, Shanghai Pudong Hospital, and Shanghai Minhang District Central Hospital from October 2018 to September 2021. Patients who underwent LC after PTGBD were divided 1∶1 into the early group and the late group. LC was performed 4-6 weeks after PTGBD in the early group and 7-8 weeks after PTGBD in the late group. Gender, age, AC grade, complications after PTGBD, body mass index, complications before LC, operation time of LC, intraoperative bleeding, total treatment cost, conversion rate to open surgery and complications after LC were compared between the two groups. The 36-Item Short Form Health Survey (SF-36) before and after LC was also compared.Results:Of 248 patients who were eligible for the study, there were 52 males and 196 females, with ages ranging from 18 to 89 years, and mean ±s.d. of (52.5 ± 20.2) years. There were 126 patients in the early group and 122 patients in the late group. There were no significant differences in gender, age, AC grade, body mass index and complications before LC between the two groups (all P>0.05). The preoperative score of SF-36 in the early group was significantly better than that in late group, and the complications of PTGBD in the late group were significantly higher than the early group (both P<0.05). The operation time and total treatment cost of the early group were significantly less than those of the late group (37.2±12.8 min vs. 48.5±19.7 min, 20 856±2 136 yuan vs. 2 2207±2 049 yuan) (both P<0.05). The intraoperative bleeding volume of LC in the early group was [ M( Q1, Q3)] 40 (40, 60) ml and the late group was [ M( Q1, Q3)] 35 (25, 40) ml. The difference was also significant ( P<0.05). There was no significant differences in the conversion rates to open surgery, complications and SF-36 scores after LC between the two groups (all P>0.05). Conclusion:LC should be performed 4-6 weeks after PTGBD for grade Ⅱ-Ⅲ acute cholecystitis. Although the amount of intraoperative bleeding was higher, the operation time was shorter, the burden on patients was reduced and there was more rapid recovery.

The shortage of medical resources promotes medical treatment reform, and smart healthcare is a promising strategy to solve this problem. With the development of Internet, real-time health status is expected to be monitored at home by using flexible healthcare systems, which puts forward new demands on flexible substrates for sensors. Currently, the flexible substrates are mainly traditional petroleum-based polymers, which are not renewable. As a natural polymer, cellulose, owing to its wide range of sources, convenient processing, biodegradability and so on, is an ideal alternative. In this review, the application progress of nanocellulose in flexible sensors is summarized. The structure and the modification methods of cellulose and nanocellulose are introduced at first, and then the application of nanocellulose flexible sensors in real-time medical monitoring is summarized. Finally, the advantages and future challenges of nanocellulose in the field of flexible sensors are discussed.
Cellulose/chemistry* ; Hydrogels/chemistry* ; Polymers

Proteomic characterization of plasma is critical for the development of novel pharmacodynamic bio-markers.However,the vast dynamic range renders the profiling of proteomes extremely challenging.Here,we synthesized zeolite NaY and developed a simple and rapid method to achieve comprehensive and deep profiling of the plasma proteome using the plasma protein corona formed on zeolite NaY.Specifically,zeolite NaY and plasma were co-incubated to form plasma protein corona on zeolite NaY(NaY-PPC),followed by conventional protein identification using liquid chromatography-tandem mass spectrometry.NaY was able to significantly enhance the detection of low-abundance plasma proteins,minimizing the"masking"effect caused by high-abundance proteins.The relative abundance of middle-and low-abundance proteins increased substantially from 2.54％to 54.41％,and the top 20 high-abundance proteins decreased from 83.63％to 25.77％.Notably,our method can quantify approxi-mately 4000 plasma proteins with sensitivity up to pg/mL,compared to only about 600 proteins iden-tified from untreated plasma samples.A pilot study based on plasma samples from 30 lung adenocarcinoma patients and 15 healthy subjects demonstrated that our method could successfully distinguish between healthy and disease states.In summary,this work provides an advantageous tool for the exploration of plasma proteomics and its translational applications.

ObjectiveTo investigate the mechanism of Xiaonang Tiaojing decoction（XNTJD）in improving polycystic ovary syndrome with insulin resistance（PCOS-IR）model rats based on anti-Müllerian hormone（AMH）/AMH type Ⅱ receptor（AMHRⅡ）signaling pathway. MethodForty-eight adult female SD rats were randomly divided into the blank group， model group， XNTJD group（11.4 g·kg^-1·d^-1） and Diane-35 group（0.21 g·kg^-1·d^-1）， PCOS-IR model was established by high-fat and high-sugar diet combined with letrozole in rats of all groups except the blank group， rats in the administration groups were given the corresponding dose of drugs by gavage for 15 days with an interval of 1 d every 4 d， normal saline of the same volume was given to the blank group and the model group. Estrous cycle was recorded daily during treatment. At the end of treatment， body weight and Lee's index were recorded， AMH， luteinizing hormone（LH）， LH/follicle stimulating hormone（FSH）， testosterone（T）and estradiol（E₂）levels were measured by enzyme-linked immunosorbent assay（ELISA）， fasting plasma glucose（FPG）was measured by glucometer， fasting insulin（FINS） level was measured by radioimmunoassay（RIA）， and the insulin resistance index（HOMA-IR） and insulin sensitivity index（QUICKI）were calculated， triglyceride（TG）and total cholesterol（TC）levels were measured by automatic biochemical analyzer， hematoxylin-eosin（HE）staining was used to observe the morphological changes of the ovary， the levels of AMHRⅡ， bone morphogenetic protein-15（BMP-15）and Smad5 in ovarian tissues were detected by immunohistochemistry（IHC），Western blot was used to analyze the protein expression levels of AMHRⅡ， BMP-15 and Smad5. ResultCompared with the blank group， a large number of leukocytes were observed in the vaginal exfoliated cells of rats in the model group， mainly in diestrus， the levels of body weight， Lee's index， glucose-lipid metabolism indexes（FPG， FINS， HOMA-IR， TG， TC）， AMH and sex hormones（LH， LH/FSH， T）were significantly increased（P<0.01）， and QUICKI and E₂ levels were significantly decreased（P<0.01）， there were more cystic bulges on the ovarian surface， more wet weight， more atretic and cystic dilated follicles in the ovarian tissues， and the thickness of granulosa cell layer was reduced without oocytes， the expression level of AMHRⅡ protein in ovarian tissues was significantly increased（P<0.01）， and the expression levels of BMP-15 and Smad5 proteins were significantly decreased（P<0.01）. Compared with the model group， the exfoliated cells in the vagina of rats treated with XNTJD group showed keratinocytes from the 5^th to 6^th day of treatment， and a stable estrous cycle gradually appeared， body weight， Lee's index， glucose-lipid metabolism indexes（FPG， FINS， HOMA-IR， TG， TC）， AMH and sex hormones（LH， LH/FSH， T）levels were significantly decreased（P<0.05， P<0.01）， QUICKI and E₂ levels were significantly increased（P<0.01）， ovarian surface was smoother and lighter in wet weight， oocytes and mature follicles were observed in ovarian tissues， the thickness of granulosa cell layer increased and the morphology was intact， the expression levels of BMP-15 and Smad5 proteins were significantly increased（P<0.01）and the expression level of AMHRⅡ protein was significantly decreased（P<0.01）in ovarian tissues. ConclusionXNTJD may mediate the up-regulation of BMP-15 and Smad5 in ovarian tissues of PCOS-IR rats by down-regulating AMH/AMHRⅡ， thereby improving ovarian function， sex hormones and glucose-lipid metabolism levels in PCOS-IR rats.

Advances in high-throughput sequencing (HTS) have fostered rapid developments in the field of microbiome research, and massive microbiome datasets are now being generated. However, the diversity of software tools and the complexity of analysis pipelines make it difficult to access this field. Here, we systematically summarize the advantages and limitations of microbiome methods. Then, we recommend specific pipelines for amplicon and metagenomic analyses, and describe commonly-used software and databases, to help researchers select the appropriate tools. Furthermore, we introduce statistical and visualization methods suitable for microbiome analysis, including alpha- and beta-diversity, taxonomic composition, difference comparisons, correlation, networks, machine learning, evolution, source tracing, and common visualization styles to help researchers make informed choices. Finally, a step-by-step reproducible analysis guide is introduced. We hope this review will allow researchers to carry out data analysis more effectively and to quickly select the appropriate tools in order to efficiently mine the biological significance behind the data.