DL-CNV: A deep learning method for identifying copy number variations based on next generation target sequencing.

Copy number variations (CNVs) play an important role in many types of cancer. With the rapid development of next generation sequencing (NGS) techniques, many methods for detecting CNVs of a single sample have emerged: (i) require genome-wide data of both case and control samples, (ii) depend on sequencing depth and GC content correction algorithm, (iii) rely on statistical models built on CNV positive and negative sample datasets. These make them costly in the data analysis and ineffective in the targeted sequencing data. In this study, we developed a novel alignment-free method called DL-CNV to call CNV from the target sequencing data of a single sample. Specifically, we collected two sets of samples. The first set consists of 1301 samples, in which 272 have CNVs in ERBB2 and the second set is composed of 1148 samples with 63 samples containing CNVs in MET. Finally, we found that a testing AUC of 0.9454 for ERBB2 and 0.9220 for MET. Furthermore, we hope to make the CNV detection could be more accurate with clinical "gold standard" (e.g. FISH) information and provide a new research direction, which can be used as the supplement to the existing NGS methods.

[Analysis of characteristics of acute poisoning caused by various poisons in Guangxi, China].

OBJECTIVE: To investigate the characteristics of acute poisonings caused by various poisons in Guangxi, China. METHODS: A retrospective investigation was performed in 5859 cases of acute poisonings who were admitted to 63 hospitals in 11 cities, as well as 531 types of poisons involved. The poisons were categorized into 6 groups; each group of cases was stratified by the rural or urban settings, frequency of poisoning, and cause of poisoning to analyze the numbers of cases and constituent ratios. RESULTS: Most types of poisons (68.74%) belonged to drugs (217 types) and pesticides (148 types). Most cases of poisonings (61.63%) were caused by pesticides (n = 2547) and chemicals (n = 1064). Pesticides, poisons of plant origins, and poisons of animal origins were responsible for most of the cases in rural settings; 88.46%, 79.10%, and 66.74% of the cases of these poison categories happened in rural settings. Chemicals, drugs, and other poisons were responsible for most of the cases in urban settings; 70.20%, 61.74%, and 63.73% of the cases of these poison categories happened in urban settings. The numbers of cases in 5-year-poisoning groups were the highest in all categories of poisons, accounting for 85.24%, 88.57%, 55.16%, 70.79%, 68.36%, and 66.44%of cases of respective categories. Most cases of poisonings by chemicals, poisons of animal origin, and other poisons were accident-related (86.24%, 72.66%, and 46.71%of the poison categories). Most cases of poisonings by pesticides and drugs were suicide-related (59.39% and 33.52% of the poison categories). Most cases by poisons of plant origin were caused by accidental ingestion (70.36% of the poison category). CONCLUSION: Most of the acute poisonings in Guangxi area are caused by pesticides and chemicals; the most common causes of poisoning are accidents, accidental ingestion, and suicide. There are significant differences in the causes of acute poisonings between the urban and rural settings.

[Analysis of the characteristics of toxins in 6005 cases of acute poisoning in Guangxi].

OBJECTIVE: To investigate the toxin characteristics of toxins in patients of acute poisoning in the Guangxi area. METHODS: A retrospective study was conducted. The data of acute poisoning cases and the causative toxins collected from 63 hospitals of Guangxi, including 36 city hospitals, 12 county hospitals, and 15 township health centers from January 2005 to December 2009 were collected. The data were descriptively analyzed and classified by year. RESULTS: A total of 6005 cases with acute poisoning induced by 532 kinds of poisons were enrolled. The 532 kinds of toxin were classified by high-occurrence (producing poisoning for 5 continuous years), low-occurrence (leading to poisoning for 2-4 continuous years) and newly occurred categories (leading to poisoning only in 1 year). The numbers of poisons of these 3 categories accounted for 10.15% (54 kinds), 29.70% (158 kinds), 60.15% (320 kinds) of total number of poisons, respectively. There were 4688 (78.07%), 780 (12.99%), and 537 (8.94%) cases for each category respectively. And the poisoning cases of each toxin involved from 8 to 837, 2 to 25, and 1 to 69 cases respectively. 77.78% (42/54) of high-occurrence poisons affect more than 20 cases, and 89.87% (142/158), 98.75% (316/320) of low-occurrence and new-occurrence poisons involved less than 10 cases. In the dynamic analyses for 5 years, frequency of toxin caused by high-occurrence, low-occurrence and newly occurred poisons in 5 years were 5 times, 2.6 times, and 1 time, respectively. The number of poisons caused by the high-occurrence toxin each year were same, but the average-annual growth rates of poison numbers caused by the low-occurrence and new-occurrence poisons each year were 17.61% and 20.10%. The average-annual growth rates of poisoning cases caused by the 3 categories of poisons were 14.08%, 16.53%, 31.96%, and the average-annual growth rates of poisoning cases caused by each categories were 10.28%, 1.13%, 11.45%, respectively. CONCLUSIONS: In the high-occurrence category, the poison species was least, the poisoning cases were most, the variety of the affected cases by each poison was largest, and the case involved by each toxin was increased by year. But in the newly occurred category, the poison constituent ratio was largest, but the poisoning population was the least, the disparity of each poison was least, and the toxin increased and the population affected each year were elevated. The characteristics of low-occurrence poison were between high-occurrence poison and newly occurred poison.

Hybrid gold-gadolinium nanoclusters for tumor-targeted NIRF/CT/MRI triple-modal imaging in vivo.

Multimodal imaging is highly desirable for accurate diagnosis because it can provide complementary information from each imaging modality. In this study, we prepared hybrid gold-gadolinium nanoclusters (NCs), which are ultrasmall, stable, biocompatible, and suitable for triple-modal NIRF/CT/MRI imaging. Upon intravenously injected, the hybrid NCs are effectively accumulated in tumor tissues and quickly clear by renal excretion, indicating their capacity of tumor targeting and low body residues. Notably, the ultrasmall hybrid NCs would penetrate into the solid tumor for capturing its heterostructure and do not induce potential toxicity in vivo. Hence, the well-defined hybrid gold-gadolinium NCs provide a versatile nanoprobe for cancer targeted imaging and diagnosis in vivo.

[Research advancement and prospects of nanotechnology in early diagnosis and treatment of cancer].

Nanotechnology has been extensively merging into biomedical research to develop a new research field-Nanobiomedicine. It provides a unique approach and comprehensive technology against cancer by early diagnosis, prediction, prevention, personalized therapy and medicine. This review focused on the progress of nanotechnology in early diagnosis and treatment of cancer.

Study on the interaction between CdSe quantum dots and hemoglobin.

The interaction between CdSe quantum dots (QDs) and hemoglobin (Hb) was investigated by ultraviolet and visible (UV-vis) absorption spectroscopy, Fourier transform infrared (FTIR) spectroscopy, and fluorescence (FL) spectroscopy. The intensity of UV-vis absorption spectrum of a mixture of CdSe QDs and Hb was obviously changed at the wavelength of 406nm at pH 7.0, indicating that CdSe QDs could bind with Hb. The influences of some factors on the interactions between CdSe QDs and Hb were studied in detail. The binding molar ratio of CdSe QDs and Hb was 12:1 by a mole-ratio method. The mechanism of the interaction between CdSe QDs and Hb was also discussed.

Clinical epidemiological study on intrahepatic cholelithiasis: analysis of 8585 cases.

OBJECTIVE: To investigate the clinical epidemiology of intrahepatic cholelithiasis in Guangxi area, China. METHODS: 8585 cases of cholelithiasis proved by surgery in a period of 19 years were analyzed retrospectively. Data were collected and analyzed by computer software package PEMS. RESULTS: Cases of intrahepatic cholelithiasis accounted for more than one third of cases of cholelithiasis treated in the same period. The prevalence of intrahepatic cholelithiasis in farmers increased from 23.4% out of all cases with gallstone in 1981-1985 to 55.8% in 1991-1999. The constituent ratio of intrahepatic cholelithiasis in males was nearly the same in females. The peak prevalence age of patients with intrahepatic cholelithiasis ranged from 31 to 40 years, and the mortality was the highest among all bile stone cases. CONCLUSION: Intrahepatic cholelithiasis is by no means a vanishing disease, especially in rural area.