Analyzing the correlation between low proportion of hobnail features in papillary thyroid carcinoma and clinical aggressiveness risk.

PURPOSE: Hobnail features may enhance the clinical aggressiveness of papillary thyroid carcinoma (PTC). However, whether a low proportion (<30%) of these features contributes to increased PTC aggressiveness remains unclear. This study investigated whether PTC cases with a low proportion hobnail features (<30%) exhibit clinical invasiveness and pathological features of aggressiveness. METHODS: Pathological specimens from patients with postoperatively diagnosed PTC were retrospectively analyzed. Among them, 29 PTC cases with a low proportion of hobnail features (<30%) were compared with 173 consecutive classical PTC (cPTC) cases. Data regarding age at presentation, sex, tumor size, number of tumors, and histological characteristics were obtained by reviewing electronic medical records. Postoperative information was obtained during follow-up visits and telephone interviews. RESULTS: Twenty-nine patients with PTC with a low proportion of hobnail features (<30%) were identified, exhibiting a median age of 34 years. At a median follow-up of 31 (IQR, 23-37) months, two patients had recurrent disease in the PTC with a low proportion of hobnail features (<30%) group, whereas there was no recurrence in the cPTC group. No distant metastasis and postoperative mortality were observed in either group. Compared with the cPTC group, patients with PTC and a low proportion of hobnail features exhibited larger tumor volumes and higher susceptibility to capsular invasion and lymph node metastasis. Tumor size and hobnail features emerged as independent risk factors for lymph node metastasis. CONCLUSION: PTC with a low proportion hobnail features (<30%) and larger tumor volumes are associated with the occurrence of lymph node metastasis. A low proportion of hobnail features (<30%) in PTC may heighten invasiveness, elevating the risk of recurrence.

TyG-GGT is a Reliable Non-Invasive Predictor of Advanced Liver Fibrosis in Overweight or Obese Individuals.

BACKGROUND: Liver fibrosis is a predisposing factor for liver cancer. This study will investigate the predictive role of the Triglyceride-glucose and Gamma-glutamyl transferase index (TyG-GGT) as a non-invasive indicator of advanced liver fibrosis in individuals with obesity or overweight. METHOD: We enrolled patients who underwent metabolic and bariatric surgery as well as intraoperative liver biopsies at Zhejiang provincial people's hospital from August 2020 to March 2023. Clinical characteristics, comorbidities, laboratory data, and pathological variables of patients were collected and analysed. Then, we conducted logistics regression model to compare the performance of the TyG-GGT index with other 4 non-invasive models. RESULTS: A total of 65 patients were included in this study. 43(66.2%) of them were female, with the mean body mass index (BMI) of 39.0 ± 7.3 kg/m2. Meanwhile, 24(36.9%) patients were diagnosed with diabetes. Advanced liver fibrosis were observed in 16.9% of patients, while liver cirrhosis was found in 4.6% of patients. The multivariable logistics regression showed that TyG-GGT was an independent risk factor of advanced liver fibrosis (OR = 6.989, P = 0.049). Additionally, compared to another 4 non-invasive liver fibrosis models (NFS = 0.66, FIB4 = 0.65, METS-IR = 0.68, APRI = 0.65), TyG-GGT exhibits the highest AUC value of 0.75. CONCLUSIONS: More than one-third of patients undergoing metabolic and bariatric surgery are afflicted with nonalcoholic steatohepatitis (NASH), and a significant proportion exhibit advanced fibrosis. TyG-GGT was a potentially reliable predictor for screening individuals with overweight or obesity at high risk of advanced liver fibrosis, thus providing clinical guidance for early intervention in this targeted group.

[Olecranon osteotomy approach for Dubberley type â ¢ coronal fractures of the distal humerus].

OBJECTIVE: To retrospectively analyze the clinical efficacy of olecranon osteotomy approach in the treatment of Dubberley type Ⅲ coronal fractures of the distal humerus and summarize the treatment experience. METHODS: From January 2016 to June 2020, 17 patients (5 males and 12 females) with Dubberley type Ⅲ coronal fractures of the distal humerus were treated by olecranon osteotomy approach. The age ranged from 37 to78 years old with an average of (58.5±12.9) years old. According to Dubberley classification, there were 5 cases of type Ⅲ A and 12 cases of type Ⅲ B. The curative effect was evaluated using the Borberg-Morrey elbow function score. The flexion, extension and rotation range of motion of the elbow joint, complications and postoperative imaging evaluation were recorded. RESULTS: All the 17 patients got bony union. The follow-up time ranged from 12 to 33 months with an average of (15.6±5.6) months. There was 1 case of ischemic necrosis of capitulum humeri, 2 cases of traumatic arthritis and 1 case of heterotopic ossification, 1 case of malunion of fracture. The range of motion was (114.80±19.50) °. The Broberg-Morrey score was 85.3±8.2, excellent in 5 cases, good in 9 cases, fair in 3 cases and poor in 0 case. CONCLUSION: Through olecranon osteotomy approach, the articular surface of distal humerus could be fully exposed, and the operation is convenient. Anatomical reduction and rigid fixation of the articular surface of distal humerus are the key factors for the succesful outcome.

FBDD and drugs originated from FBDD / 药学学报

The binding of small molecule drugs to targets is mostly through non-covalent bonds, and hydrogen bond, electrostatic, hydrophobic and van der Waals interactions function to maintain the binding force. The more these binding factors lead to strong bindings and high activities. However, it is often accompanied by the increase of molecular size, resulting in pharmacokinetic problems such as membrane penetration and absorption, as well as metabolism, which ultimately affects the drug success. Fragment-based drug discovery (FBDD) is to screen high-quality fragment library to find hits. Combine with structural biology, FBDD generates lead compounds by means of fragment growth, linking and fusion, and finally drug candidates by the optimization operation. During the value chain FBDD is closely related to structure-based drug discovery (SBDD). In this paper, the principle of FBDD is briefly described by several launched drugs.

An overview of disease treatment strategies targeting the alternative splicing of pre-mRNA / 药学学报

Alternative splicing of pre-messenger RNA (pre-mRNA) is a crucial mechanism for the diversity of the human transcriptome and proteome. Alternative splicing is a complex gene regulation process. Whole-transcriptome analysis shows that 95% of human exonic genes are alternatively spliced, involving various cis-acting elements and trans-acting factors. Any changes in any component or step may cause erroneous splicing events and lead to the occurrence of various related diseases. In addition to gene replacement therapy that directly changes the splicing results, RNA splicing modification is expected to become a new therapeutic strategy to alleviate or treat diseases by targeting and correcting abnormal pre-mRNA splicing. Splicing modification tools currently developed including RNA trans-splicing, antisense oligonucleotides, small interfering RNA, and small molecule drugs can correct abnormal splicing through different ways. This article reviews the resent progress of epigenetic regulation of pre-mRNA alternative splicing in recent years, and discusses the occurrence and regulation of alternative splicing, the types of diseases caused by related splicing defects, and the current-used tools for targeting and altering splicing. The importance of splicing modification strategies in the future treatment of human diseases is envisioned.

Olecranon osteotomy approach for Dubberley type Ⅲ coronal fractures of the distal humerus / 中国骨伤

OBJECTIVE@#To retrospectively analyze the clinical efficacy of olecranon osteotomy approach in the treatment of Dubberley type Ⅲ coronal fractures of the distal humerus and summarize the treatment experience.@*METHODS@#From January 2016 to June 2020, 17 patients (5 males and 12 females) with Dubberley type Ⅲ coronal fractures of the distal humerus were treated by olecranon osteotomy approach. The age ranged from 37 to78 years old with an average of (58.5±12.9) years old. According to Dubberley classification, there were 5 cases of type Ⅲ A and 12 cases of type Ⅲ B. The curative effect was evaluated using the Borberg-Morrey elbow function score. The flexion, extension and rotation range of motion of the elbow joint, complications and postoperative imaging evaluation were recorded.@*RESULTS@#All the 17 patients got bony union. The follow-up time ranged from 12 to 33 months with an average of (15.6±5.6) months. There was 1 case of ischemic necrosis of capitulum humeri, 2 cases of traumatic arthritis and 1 case of heterotopic ossification, 1 case of malunion of fracture. The range of motion was (114.80±19.50) °. The Broberg-Morrey score was 85.3±8.2, excellent in 5 cases, good in 9 cases, fair in 3 cases and poor in 0 case.@*CONCLUSION@#Through olecranon osteotomy approach, the articular surface of distal humerus could be fully exposed, and the operation is convenient. Anatomical reduction and rigid fixation of the articular surface of distal humerus are the key factors for the succesful outcome.

On improving the activity and selectivity of small molecule drugs / 药学学报

Although small molecule drugs (SMD) are still mainstream for the treatment of diseases, large molecule biologicss of many advantages, pose a challenge to the further discovery and use of SMD. The advantages of SMD are the convenience of oral administration and good patient compliance. However, the challenge with SMD is to integrate the PD, PK, selectivity and safety into a chemical structure. Because of their small size and surface area they often bind to various proteins, and off-target actions can cause adverse reactions. In this sense, selectivity is critical. Based upon target as the core to construct a chemical structure, it is necessary to consider the requirements of all the attributes, but achievement of the full-dimensional optimization is difficult. Modern drug discovery has been greatly enhanced by molecular biology and structural biology, and new strategies and technologies have emerged, which have created many successful medicines. For example, under the guidance of structural biology, covalent binding drugs connect moderate "electrophilic warheads" to the appropriate positions of molecules, and upon binding to their targets the electrophiles are irreversibly linked to the target by covalent bonds. Molecular biology can be directly applied to the development of antibody-coupled drugs (ADC). The antibody (A) acts as a carrier and a guide (for PK), and carries toxic molecules (D) into cancer cells, thus playing a killing role (for PD). The separate pharmacodynamic and pharmacokinetic entities are coupled (C) by linkers. PROTACs are also bifunctional molecules, which recruit a target protein and ubiquitin ligase E3 to form a ternary complex, which then acts as a catalyst to ubiquitinate the target protein and lead to degradation by the proteasome. In addition, in recent years, the combination of two fixed-dose drugs has improved selectivity, safety, and long-term benefit with many severe diseases, and can be regarded as an innovative strategy of physical combination. This review discusses some successful examples to briefly present the principles from the perspective of medicinal chemistry and therapeutic application.

Perspective of CADD and AIDD in medicinal chemistry / 药学学报

Artificial intelligence-aided drug discovery (AIDD) is a new version of computer-aided drug discovery (CADD). AIDD is featured in significantly promoting the performance of conventional CADD. AI markedly enhances the learning ability of CADD. In the 1960s, CADD was established from conventional QSAR approaches, which mainly used regression approaches to derive substructure-activity relationship for compounds with a common scaffold, and guide drug molecular design, figure out the binding features of drugs, and identify potential drug targets. Since the 1990s, structural biology has provided three-dimensional structures of drug targets, enabling drug discovery based on target structure (SBDD), fragment-based drug discovery (FBDD), and structure-based virtual screening (SBVS) with CADD approaches. In the past 30 years, many first in class (FIC) and best in class (BIC) drugs were discovered with CADD. Now, AIDD will further revolutionize CADD by reducing human interventions and mining big chemical and biological data. It is expected that AIDD will significantly enhance the abilities of CADD, virtual screening and drug target identification. This article tries to provide perspectives of CADD and AIDD in medicinal chemistry with case studies.

ZNF521 Is Correlated with Tumor Immune Cell Infiltration and Act as a Valuable Prognostic Biomarker in Gastric Cancer.

Aim: To explore the correlations between the expression of zinc finger protein 521 (ZNF521) with immune invasion and prognosis of gastric cancer. Methods: Expression of ZNF521 was examined by immunohistochemistry in gastric cancer cases. Kaplan-Meier plotter was used to determine the relationships between ZNF521 and prognosis. TIMER and GEPIA were used to analyze the correlation between ZNF521 expression and gene markers of immune cell infiltration. Results: The expression of ZNF521 was up-regulated in gastric cancer samples. Kaplan-Meier analysis indicated that higher expression of ZNF521 was associated with poor prognosis. The expression of ZNF521 was correlated with infiltrating levels of CD4+ T and CD8+ T cells, macrophages, neutrophils, and dendritic cells in gastric cancer, which also correlated with diverse immune marker sets. Conclusions: ZNF521 is correlated significantly with immune cell infiltration and is a valuable biomarker for prognosis in gastric cancer.

BRAF-rearranged spindle cell mesenchymal neoplasm with a predominant lipofibromatosis-like neural tumor pattern and co-expression of CD34, S100 protein, and markers associated with perineurial differentiation: A rare case with potential diagnostic pitfall.

Recently, a distinctive group of S100 protein/CD34-positive spindle cell mesenchymal neoplasms characterized by a predominant lipofibromatosis-like neural pattern harboring recurrent gene rearrangements involving NTRK1-3, RAF1, RET, ROS1, ALK, and MET has been identified. BRAF rearrangements have been rarely documented in this group of neoplasms. Herein, we report a 54-year-old man with a 1.3-cm painless mass located in the subcutis of left back. The tumor was composed of mildly atypical, short-spindle shaped to ovoid cells with fascicles and whorls intervening between and admixed with the subcutaneous adipose tissues and nerve bundles. Focally abundant thick, band-like stromal hyalinization was also noted. The neoplastic cells showed diffuse reactivity for S100 protein and CD34 and multifocal immunopositivity for markers associated with perineurial differentiation including epithelial membrane antigen, GLUT1, and claudin-1. Fluorescence in situ hybridization analyses showed positive for BRAF rearrangement and negative for rearrangements involving NTRK1, RET, and ROS1. The tumor was narrowly excised and recurred after 24 months of follow-up. To our knowledge, we report the second case of BRAF-rearranged spindle cell mesenchymal tumor with predominant lipofibromatosis-like neural tumor pattern. Expression of markers associated with perineurial differentiation is exceptional and represents a potential diagnostic pitfall, which may cause significant diagnostic confusion with a peripheral nerve sheath tumor.

Drug discovery from viewpoint of medicinal chemists / 药学学报

Taking patient needs as the core and realizing clinical value as the guidance are the purpose and path of drug discovery. Whether the first-in-class drug or follow-on drugs are all to meet the demands of patients for drugs that are not treatable or more safe and effective. In order to realize clinical value, innovative drugs driven by basic biological research include three elements: understanding the molecular mechanism of pathogenesis; Grasping the microscopic features of the disease; clarifying the mechanism of action of drugs. The interrelation among the three is the translational medicine, and the medicinal chemistry plays an important role in the translations. That is, based on the results of basic research in biology/medicine, knowledge of the molecular mechanism of disease depends upon the establishment of various in vitro/in vivo models to find the key node and molecular regulation for the treatment of disease. Combined with the knowledge of gene deletion and variation, proteomics, epigenetics and other technologies, the molecular mechanism of disease provides multi-molecular information on the level of gene, proteins, enzymes, receptors, ion channels and signal transduction for molecular drug design. Insight into the microscopic characteristics of diseases would deepen the understanding of the molecular mechanism of the pathogenesis, as well as provide a feasible scientific path for the creation of new drugs. When the molecular mechanism of disease and the action mechanism of drugs are clarified, we have a deeper and wider understanding of the application of existing drugs (or active compounds), and may offer new ideas for drug design and application. In this translational process the medicinal chemistry plays a key role which requires medicinal chemists to break through the habitual thinking and working mode, backtracking (upstream) to basic research and its achievements and applying to the direction of creating new drugs in time, as well as paying attention to the clinical requirements (downstream) and implementing the specific content of the transformation process for the R&D of innovative drugs.

A PHF1-TFE3 fusion atypical ossifying fibromyxoid tumor with prominent collagenous rosettes: Case report with a brief review.

Ossifying fibromyxoid tumor (OFMT) is a rare mesenchymal neoplasm of uncertain line of differentiation that can be subdivided into typical, atypical, and malignant tumors. Cytogenetically, OFMT is characterized by recurrent gene rearrangement involving PHF1 in up to 85% of cases. The most common PHF1 fusion partner is EP400, present in approximately half of cases. Most recently, a novel fusion of PHF1-TFE3 was identified in about 10% of PHF1-rearranged OFMTs. Herein, we report a unique case of PHF1-TFE3 fusion atypical OFMT with prominent collagenous rosettes. A 50-year-old male patient presented with a slowly growing, painless mass in the right foot for 4 years. Gross examination showed a 3.5-cm, subcutaneous well-circumscribed, lobulated mass. Microscopic examination revealed a well-demarcated but un-encapsulated tumor without a peripheral bony shell. The neoplasm was composed of mildly atypical spindle to ovoid cells with increased mitosis (2 mitoses per 10 high-power fields) arranged in a multinodular manner within a fibromyxoid stroma, which contained numerous small, irregular collagenous rosettes surrounded by radiating growth of tumor cells. The neoplastic cells were diffusely positive for TFE3 and CD10. RNA sequencing revealed an in-frame fusion between PHF1 exon 12 and TFE3 exon 7. Subsequent Fluorescence in-situ hybridization analyses demonstrated positive for rearrangements of both the PHF1 and TFE3 loci. The patient was free of disease at 63 months' follow-up. Our case exhibits atypical features and prominent collagenous rosettes, expanding the morphological spectrum of OFMT with PHF1-TFE3 fusion.

Analysis of biolo artificial neural network in prediction of aerobic exercise index based on algorithm / Análise de rede neural artificial na predição do índice de exercício aeróbio baseada em algorítimo / Análisis de red neuronal artificial en la predicción del índice de ejercicio aeróbico

ABSTRACT Objective: To study the relationship between aerobic activity and cardiac autonomic nerve activity by artificial neural network algorithm and biological image fusion; because of the artificial neural network model (ANN) problems, biological image processing technology is introduced based on ANN. Methods: An Ann under biological image intelligence algorithm is proposed, a classifier suitable for electrocardiograph (ECG) screening is designed, and an ECG signal screening system is successfully established. Moreover, the data set of normal recovered ECG signals of the subjects during the experimental period is constructed, and a classifier is used to extract the characteristic data of a normal ECG signal during the experimental period. Results: The changes in resting heart rate and other physical health indicators are analyzed by combining resting physiological indicators, namely heart rate, body weight, body mass index and body fat rate. The results show that the self-designed classifier can efficiently process the ECG images, and long-term regular activities can improve the physical conditions of most people. Most subjects' body weight and body fat rate decrease with the extension of experiment time, and the resting heart rate decreases relatively. Conclusions: Certain indicators can be used to predict a person's dynamic physical health, which indicates that the experimental research of index prediction in this research has a good effect, which not only extends the application of artificial neural network but also lays a foundation for the research and implementation of ECG intelligent testing wearable devices. Level of evidence II; Therapeutic studies - investigation of treatment results.

RESUMO Objetivo: Com o objetivo de estudar a relação entre atividade aeróbia e atividade nervosa autonômica cardíaca por algoritmo de rede neural artificial e fusão biológica de imagens, tendo em vista os problemas existentes no modelo de rede neural artificial (RNA), é introduzida a tecnologia de processamento biológico de imagens com base em ANN. Métodos: um algoritmo de inteligência biológica de imagem Ann é proposto, um classificador adequado para triagem eletrocardiográfica (ECG) é projetado e um sistema de triagem de sinal de ECG é estabelecido com sucesso. Além disso, o conjunto de dados de sinais de ECG normais recuperados dos sujeitos durante o período experimental é construído e um classificador é usado para extrair os dados característicos de um sinal de ECG normal durante o período experimental. Resultados: As alterações na frequência cardíaca em repouso e outros indicadores de saúde física são analisadas pela combinação de indicadores fisiológicos de repouso, a saber, frequência cardíaca, peso corporal, índice de massa corporal e índice de gordura corporal. Os resultados mostram que o classificador autodesenhado pode processar com eficiência as imagens de ECG, e as atividades regulares de longo prazo podem melhorar as condições físicas da maioria das pessoas. O peso corporal e a taxa de gordura corporal da maioria dos indivíduos diminuem com a extensão do tempo do experimento, e a freqüência cardíaca em repouso diminui relativamente. Conclusões: Certos indicadores podem ser usados para prever a saúde física dinâmica de uma pessoa, o que indica que a pesquisa experimental de predição de índice nesta pesquisa tem um bom efeito, que não apenas estende a aplicação da rede neural artificial, mas também estabelece uma base para a pesquisa e implementação de dispositivos vestíveis de teste inteligente de ECG. Nível de evidência II; Estudos terapêuticos- investigação dos resultados do tratamento.

RESUMEN Objetivo: Para estudiar la relación entre la actividad aeróbica y la actividad del nervio autónomo cardíaco mediante el algoritmo de red neuronal artificial y la fusión de imágenes biológicas, ante los problemas existentes en el modelo de red neuronal artificial (ANN), se introduce la tecnología de procesamiento de imágenes biológicas basada en ANA. Métodos: Se propone un algoritmo de inteligencia de imagen biológica de Ann, se diseña un clasificador adecuado para el cribado electrocardiógrafo (ECG) y se establece con éxito un sistema de cribado de señales de ECG. Además, se construye el conjunto de datos de las señales de ECG recuperadas normales de los sujetos durante el período experimental, y se utiliza un clasificador para extraer los datos característicos de una señal de ECG normal durante el período experimental. Resultados: Los cambios en la frecuencia cardíaca en reposo y otros indicadores de salud física se analizan combinando indicadores fisiológicos en reposo, a saber, frecuencia cardíaca, peso corporal, índice de masa corporal y tasa de grasa corporal. Los resultados muestran que el clasificador de diseño propio puede procesar de manera eficiente las imágenes de ECG, y las actividades regulares a largo plazo pueden mejorar las condiciones físicas de la mayoría de las personas. El peso corporal y la tasa de grasa corporal de la mayoría de los sujetos disminuyen con la extensión del tiempo del experimento, y la frecuencia cardíaca en reposo disminuye relativamente. Conclusiones: Ciertos indicadores pueden usarse para predecir la salud física dinámica de una persona, lo que indica que la investigación experimental de predicción de índices en esta investigación tiene un buen efecto, lo que no solo extiende la aplicación de la red neuronal artificial sino que también sienta las bases para la investigación. e implementación de dispositivos portátiles de prueba inteligente de ECG. Nivel de evidencia II; Estudios terapéuticos- investigación de los resultados del tratamiento.

Research advances on the chemical components and pharmacological activities of Zanthoxyli Radix / 药学学报

Zanthoxyli Radix is a traditional Chinese medicine. It can be used for the treatment of wind-cold-dampness arthralgia, muscle and bone pain, fall fracture, hernia, sore throat, toothache and other diseases. Due to possessing many excellent and mild pharmacological properties, there are lots of reports about Zanthoxyli Radix worldwide. At present, more than 100 bioactive components have been extracted and purified from Zanthoxyli Radix. Nitidine chloride (NC), one of the most important alkaloids in Zanthoxyli Radix, has the activities of anti-tumor, anti-inflammation, anti-bacteria, etc. In this review, we summarize the chemical components of Zanthoxyli Radix, pharmacological activity and mechanism of action of NC to provide references for further research and utilization of Zanthoxyli Radix.

Bruceantin inhibits proliferation, migration and invasion of non-small cell lung cancer H1299 cells by up-regulating miR-29a-3p / 药学学报

We investigated the inhibitory effect and mechanism of action of bruceantin (BCT) on the proliferation, invasion and migration of non-small cell lung cancer (NSCLC) cells. The cytotoxic activity of BCT was measured by MTT assay; a colony forming assay, wound healing assay, and a Transwell assay were used to investigate the anti-proliferative, anti-migration, and anti-invasion effects, respectively; immunoblotting and RT-qPCR were used to detect the expression of related proteins, miRNA, and mRNA, respectively, that were involved in cell proliferation, migration, and invasion. Two gene prediction websites were used to predict the downstream target gene of miRNA. Our results show that BCT has a potent cytotoxic effect on NSCLC cell lines, with a half maximal inhibitory concentration (IC50) of BCT against H1299, PC-9, and A549 of 0.12 ± 0.02, 0.31 ± 0.20, and 2.07 ± 0.70 μmol·L-1, respectively. When H1299 cells were treated with 0.03, 0.15, and 0.75 μmol·L-1 BCT for 24 h, the proliferation, migration, and invasive ability were inhibited in a concentration-dependent manner. It is worth noting that the expression level of miRNAs related to cell migration and invasion, such as miR-29a-3p, miR-21-3p, miR-183-5p, and miR-34b-5p increased with the concentration of BCT, especially for miR-29a-3p. Using the two gene prediction websites, we predict that integrin β1 (ITGB1) may be the target gene of miR-29a-3p; immunoblot results further show that a variety of proteins related to cell proliferation, migration, and invasion, such as various proteins of the integrin family, β-catenin, p-Src, and vascular endothelial growth factor, all decreased in a concentration-dependent manner, among which the reduction of ITGB1 protein was the most obvious. RT-qPCR results showed that there was no change in ITGB1 mRNA expression. We speculate that BCT might inhibit the expression of ITGB1 protein by up-regulating miR-29a-3p independent of its mRNA level. The in-depth mechanism needs to be further explored. This study suggests that BCT has the potential for further development in the treatment of NSCLC.

Low expression of citron kinase is associated with poor patient outcomes in hepatocellular carcinoma.

BACKGROUND: Citron kinase (CIT) is a protein related to cytokinesis and is an important abscission regulator. However, the relationship between CIT and hepatocellular carcinoma (HCC) is unclear. The aim of this study was to investigate the expression CIT in HCC tissues, and explore the connection between this expression and clinicopathological characteristics of HCC. METHODS: Immunohistochemistry staining on 235 HCC tissues and 96 non-tumorous liver tissues controls was performed to examine the CIT protein expression. We then analyzed the correlation between protein expression and clinicopathological parameters via χ2 tests, and we performed overall survival analyses via the Kaplan-Meier survival approach. Based on the online Oncomine Expression Array and UALCAN databases, we more broadly compared CIT mRNA expression between normal and HCC tissues. Finally, we compared CIT mRNA expression in these databases to protein expression in our study and explored potential sources for any observe differences. RESULTS: Compared to normal tissues, CIT expression was significantly lower in HCC tissues. Low CIT expression was found to be related to gender, tumor size, Edmondson Grade, Microvascular invasion, serum AFP levels and poor overall survival. Based on the online databases, CIT mRNA expression was found to be high in HCC tissues and decreased in normal tissues. We hypothesize that this unexpected result is due to a negative feedback loop whereby low protein CIT levels mediate increased CIT mRNA levels. CONCLUSIONS: Lower CIT protein levels are associated with a poorer prognosis in HCC patients, and lower CIT protein levels may mediate a negative feedback loop leading to increased CIT mRNA levels.

Mathematical model construction and analysis of the effect of estradiol on the electrical activity of gastric antrum in female rabbits / 解剖学报

Objective To investigate the expression of estrogen receptor in gastric antrum and the effect of estrogen on electrical activity of gastric antrum smooth muscle in female rabbits in virtue of the constructed mathematical model in order to explore the regulation of estrogen on gastric motility. Methods Using immunofluorescence to observe the expression of estrogen receptor in gastric antrum. Using BL-420F bio monitor to monitor: Comparing the difference of antral electromyography index between rabbits in ovariectomized group and rabbits in sham operating group; Observing the dose-response relationship between doses of estradiol (0,0. 1,0. 15,0. 2,0. 25 and 0. 3 mg/ kg). To construct the mathematical model, and to analyze the dose-response relationship and mechanism of action. Rresult The expression of estrogen receptor in the antral wall of the stomach was negative. The activity index of gastric antrum myoelectric activity was significantly decreased after ovarian ablation (P<0. 01). With the increase of estradiol dose, the activity index of gastric antrum muscle increased and then decreased. Analysis of variance showed that the difference of antral electromyographic activity index between adjacent groups was significant (P<0. 05) or extremely significant (P<0. 01). Taking the estradiol dose as the independent variable x, the antral electromyography activity index was the dependent variable y, and the fitting wass obtained: y= 2. 80 + 5. 65 × exp{ -0. 5 × [(x-0. 159) / 0. 038 ]

Research advances on the chemical constituents and pharmacological effects of snow lotus / 药学学报

Snow lotus is a medicinal plant with a wide range of pharmacological activities. It has been used to treat rheumatoid arthritis, cough with cold, stomach ache, dysmenorrhea, and altitude sickness in traditional medicine. This review summarizes the bioactive components in six species of snow lotus including flavonoids, lignans, phenolic compounds, phenylpropanoids, and sesquiterpenes present in Saussurea involucrate (SI), Saussurea obvallata (SO), Saussurea laniceps (SL), Saussurea medusa (SM), Saussurea stella (SS) and Saussurea tridactyla (ST). We review the pharmacological and related molecular mechanisms by which these components exert antineoplastic, anti-inflammatory, and antioxidant effects and promote lipid catabolism, and provide a reference for the future study of the traditional Chinese medicinal chemistry and pharmacological activities of snow lotus.