Animals ; Antineoplastic Agents ; pharmacology ; Apoptosis ; drug effects ; Arsenicals ; pharmacology ; HeLa Cells ; pathology ; Humans ; Leukemia, Promyelocytic, Acute ; pathology ; Oxides ; pharmacology

Adult ; Bone Marrow ; pathology ; Female ; Humans ; Leg ; Neoplasm Invasiveness ; Rhabdomyosarcoma, Embryonal ; pathology ; therapy

PurposeAs a main method to detect thyroid nodules, ultrasonography seems to have a rather low accuracy in differentiating benign and malignant ones. The present study aims to explore the diagnostic value of thyroid imaging reporting and data system (TI-RADS) in identifying benign and malignant thyroid nodules.Materials and Methods A total of 168 patients with thyroid nodules conifrmed pathologically (with 251 suspicious nodules) underwent ultrasonography and were further grouped into category 3-5 according to TI-RADS classiifcation standard. The results were retrospectively compared with histopathological ifndings. The sensitivity, speciifcity, accuracy, positive predictive value and negative predictive value of TI-RADS classiifcation in the diagnosis of benign and malignant thyroid nodules were calculated, and the differences in ultrasonic features between benign and malignant thyroid nodules were also compared.Results The surgical and pathological findings showed that 94 nodules were benign and 157 were sinister; TI-RADS regarded 93 nodules were benign and 185 were malignant. The difference of the two means of identification was significant (χ2=149.6,P<0.01). The sensitivity, speciifcity, accuracy, positive predictive value and negative predictive value of TI-RADS were 91.2% (144/157), 85.1% (80/94), 89.3% (224/251), 91.2% (144/158) and 86.0% (80/93), respectively. The ultrasonic manifestations of benign and malignant nodules were signiifcantly different with regard to aspect ratio, echogenicity, shape, calciifcation inside the nodule (χ2=8.7-121.4,P<0.01).Conclusion TI-RADS classiifcation standards have a high accuracy in the differentiation of benign and malignant thyroid nodules as a means of ultrasound examination, and thus can serve as an important guiding method in clinical diagnosis and treatment.

Objective ST-T complex change, which represents the ventricle repolarization phase, is the main clinical indicator in detecting myocardial ischemia (MI) based on electrocardiogram (ECG) signals.However, its feature point location is not accurate due to interferences. In this paper, a new approach about myocardial ischemia analysis was proposed based on QRS complex. Methods QRS complex, representing the ventricle depolarization process, was used to analyze myocardial ischemia, and some parameters were extracted synthetically in time domain. Then they were used for statistical analysis of myocardial ischemia states and non-myocardial ischemia states. Results Five parameters had significant differences after verification of Non-MI signals in MIT-BIH database and MI signals in long-term ST database (LTST) and they were: QRS upward and downward slopes, transient heart rate, R angle and Q angle in a triangle QRS. Conclusion Five parameters extracted from QRS complex had significant differences. The proposed method provides an important basis for myocardial ischemia detection.

Repetitive(repetitive extragenic palindromic,REP,and enterobaterial repetitive intergenic consensus,ERIC) sequences in conjunction with polymerase chain reaction technique(REP and ERIC PCR) were used to fingerprint the genomes of 27 isolates of indigenous soybean rhizobia from Xinjiang.The indigenous soybean rhizobia in Xinjiang can be clustered into relative genetic similarities of approximately 0.5,of which one group mainly includes all slow-growing rhizobia,another mainly includes all fast-growing stains. REP and ERIC PCR analysis demonstrate a substantial genetic variability within members of Xinjiang indigenous soybean rhizobial populations, which reveals that genetic similarities have certain geographical correlation, and isolates from the same site have relative higher similarities.The results show that REP and ERIC PCR analysis give effective means in genetic diversity and population structure analysis of soybean rhizobia.

Objective To observe the effect of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) on cholesterol gallstones formation in C57BL/6 mice with diet-induced cholesterol gallstone,and then explore the potential mechanism.Methods Fifty C57BL/6 mice were randomly divided into 5 groups (10 mice in each group),referring to control group,experimental group,experimental plus DHA group,experimental plus EPA group,as well as experimental plus DHA and EPA group.The mice in control group were fed with regular diet,and the rest of the mice with lithogenic diet (LD).Subsequent to feeding the mice with separate diets for two weeks,EPA and/or DHA (70 mg · kg-1 · d-1) were orally administered for eight weeks,while the LD feeding was continued during this period.After a total of 10 weeks,the mice were dissected to observe the gallstone formation.The levels of serum lipids,total cholesterol (TC) and phospholipids (PL) in bile,and TC in the liver were tested,and the protein expression of HMGCR,SRBI,ABCG5/ABCG8,CYP7A1 and ABCB11genes in the liver of mice was measured.Results Compared with the experimental group,the experimental plus EPA group had significantly lower TC in liver (0.033 ±0.008 mmolo/g) and bile (1.807 ±0.381 mmolo/L),and lower relative protein expression levels of HMGCR (0.545±0.098),ABCG5 (0.418±0.089) and ABCG8 (0.501 ±0.151)in liver (P＜ 0.05).The contents of TC in liver and bile,and the protein expression of HMGCR,ABCG5andABCG8 in liver were 0.048 ± 0.006 mmol/g and 2.662 ± 0.339 mmolo/L,and 1.011 ± 0.213,1.037 ± 0.276 and 1.266 ±0.312,respectively.No significant differences were observed between experimental plus DHA group and experimental group (P ＞ 0.05).Conclusions EPA could prevent the cholesterol gallstone formation in mice by decreasing the expression of HMGCR and ABCG5/8 genes in liver,therefore reducing cholesterol synthesis and blocking cholesterol transport from liver to bile as well as diminishing cholesterol content in the bile.However,the inhibition effect of DHA on cholesterol gallstone formation was not obvious.

Ebola virus (EBOV) and Marburg virus (MARV) belong to the family Filoviridae. Filoviruses cause severe filovirus hemorrhagic fever (FHF) in humans, with high case fatality rates, and represent potential agents for bioterrorism and biological weapons. It is necessary to keep surveillance of filoviruses, even though there is no report of their isolation and patients in China so far. To characterize MARV morphology, the Lake Victoria marburgvirus--Leiden was stained negatively and observed under a transmission electron microscope which is one of important detection methods for filoviruses in emergencies and bioterrorism. MARV showed pleomorphism, with filamentous, rod-shaped, cobra-like, spherical, and branch-shaped particles of uniform diameter but different lengths. Pleomorphism of negatively stained MARV is summarized in this article, so as to provide useful information for possible electron microscopic identification of filoviruses in China.
Animals ; Humans ; Marburg Virus Disease ; virology ; Marburgvirus ; growth & development ; ultrastructure ; Microscopy, Electron, Transmission ; Virion ; growth & development ; ultrastructure

OBJECTIVETo establish a localization ultrathin section method through which target cytopathic cells could be sectioned in situ.

METHODSLab-Tek Chamber slide system (177402) was selected as resin embedding mould. Cells infected with Human adenovirus type 5 (Ad5) or A/HN/SWL3/ 2009 (H1N1) influenza virus were embedded in situ as models. Target cytopathic cells were exposed by trimming, sectioned and observed under transmission electron microscope (TEM).

RESULTSTarget cells could be sectioned in situ and virus particles could be found easily on sections.

CONCLUSIONA localization ultrathin sectioning method was established and this technique could be applied in virus detection in cytopathic cells to improve TEM detection efficiency.

Adenovirus Infections, Human ; pathology ; virology ; Adenoviruses, Human ; physiology ; ultrastructure ; Cell Line ; Humans ; Influenza A Virus, H1N1 Subtype ; physiology ; ultrastructure ; Influenza, Human ; pathology ; virology ; Microscopy, Electron, Transmission ; Microtomy ; methods

The exploration of drug toxicity and mechanisms is a vital component in ensuring the safe use of drugs in clinical practice, as this topic has attracted widespread concern. The intestinal flora holds great significance for drug metabolism, efficacy and mechanism, and is an instrumental metabolic organ that facilitates material information transfer and biotransformation. However, an increasing number of studies have shown that intestinal bacteria are closely related to the toxicity of specific drugs. On the one hand, drugs are transformed into toxic metabolites under the influence of intestinal bacteria, thus inducing direct drug toxicity. On the other hand, the composition and function of the intestinal flora are altered under drug influence, resulting in disruption of endogenous metabolic pathways. Consequently, this disruption compromises the intestinal barrier and affects other organs, leading to indirect drug toxicity. This review meticulously compiles recent examples of drug toxicity attributed to intestinal bacteria, explores in depth the contention that metabolic enzymes of gut microbiota may be of great influence on oral drug toxicity, and outlines prospective avenues for future research on gut microbiota and drug toxicity and mechanisms. This not only provides novel perspectives for the judicious clinical utilization of drugs but also offers insights for the safety assessment of innovative pharmaceuticals.

Design of structurally-novel drug molecules with deep learning can overcome the technical bottleneck of classical computer-aided drug design. It has become the frontier of new technique research on drug design, and has shown great potential in drug research and development practice. This review starts from the basic principles of deep learning-driven de novo drug design, goes on with the brief introduction to deep molecular generation techniques as well as computational tools and the analysis on representative successful cases, and eventually provides our perspective for future direction and application prospect about this technique. This review will provide ideas on new technique research and references for new drug research and development practice to which this technique is applied.