自动乳腺全容积扫描联合乳腺钼靶摄影在乳腺疾病诊断中的价值

目的：探讨自动乳腺全容积扫描（automated breast volume scanner,ABVS）联合乳腺钼靶摄影在乳腺疾病诊断中的价值。方法：观察随访130例就诊我科的乳腺疾病患者,进行ABVS、传统超声和乳腺钼靶检查。结果：130例患者中ABVS的疾病单独诊断准确率为91．5％（119／130）,传统乳腺超声的单独诊断准确率为84．6％（110／130）,乳腺钼靶的单独诊断准确率为86．9％（113／130）,而ABVS联合乳腺钼靶应用的诊断准确率为95．4％（124／130）,明显优于两者单独应用,差异具有统计学意义（P〈0．05）。结论：ABVS是一种全新的乳腺检查方法,较传统乳腺超声、乳腺钼靶具有较高的疾病诊断准确率,而ABVS联合乳腺钼靶可以显著提高诊断的准确率,值得在临床推广。     

Antibody engineering & therapeutics,the annual meeting of the antibody society December 7–10, 2015, San Diego,CA, USA

The 26th Antibody Engineering & Therapeutics meeting, the annual meeting of The Antibody Society united over 800 participants from all over the world in San Diego from 6–10 December 2015. The latest innovations and advances in antibody research and development were discussed, covering a myriad of antibody-related topics by more than 100 speakers, who were carefully selected by The Antibody Society. As a prelude, attendees could join the pre-conference training course focusing, among others, on the engineering and enhancement of antibodies and antibody-like scaffolds, bispecific antibody engineering and adaptation to generate chimeric antigen receptor constructs. The main event covered 4 d of scientific sessions that included antibody effector functions, reproducibility of research and diagnostic antibodies, new developments in antibody-drug conjugates (ADCs), preclinical and clinical ADC data, new technologies and applications for bispecific antibodies, antibody therapeutics for non-cancer and orphan indications, antibodies to harness the cellular immune system, building comprehensive IgVH-gene repertoires through discovering, confirming and cataloging new germline IgVH genes, and overcoming resistance to clinical immunotherapy. The Antibody Society's special session focused on “Antibodies to watch” in 2016. Another special session put the spotlight on the limitations of the new definitions for the assignment of antibody international nonproprietary names introduced by the World Health Organization. The convention concluded with workshops on computational antibody design and on the promise and challenges of using next-generation sequencing for antibody discovery and engineering from synthetic and in vivo libraries.     

Estimating Neospora caninum prevalence in wildlife populations using Bayesian inference

Prevalence of disease in wildlife populations, which is necessary for developing disease models and conducting epidemiologic analyses, is often understudied. Laboratory tests used to screen for diseases in wildlife populations often are validated only for domestic animals. Consequently, the use of these tests for wildlife populations may lead to inaccurate estimates of disease prevalence. We demonstrate the use of Bayesian latent class analysis (LCA) in determining the specificity and sensitivity of a competitive enzyme‐linked immunosorbent assay (cELISA; VMRD^®, Inc.) serologic test used to identify exposure to Neospora caninum (hereafter N. caninum) in three wildlife populations in southeastern Ohio, USA. True prevalence of N. caninum exposure in these populations was estimated to range from 0.1% to 3.1% in American bison (Bison bison), 51.0% to 53.8% in Père David's deer (Elaphurus davidianus), and 40.0% to 45.9% in white‐tailed deer (Odocoileus virginianus). The accuracy of the cELISA in American bison and Père David's deer was estimated to be close to the 96% sensitivity and 99% specificity reported by the manufacturer. Sensitivity in white‐tailed deer, however, ranged from 78.9% to 99.9%. Apparent prevalence of N. caninum from the test results is not equal to the true prevalence in white‐tailed deer and Père David's deer populations. Even when these species inhabit the same community, the true prevalence in the two deer populations differed from the true prevalence in the American bison population. Variances in prevalence for some species suggest differences in the epidemiology of N. caninum for these colocated populations. Bayesian LCA methods could be used as in this example to overcome some of the constraints on validating tests in wildlife species. The ability to accurately evaluate disease status and prevalence in a population improves our understanding of the epidemiology of multihost pathogen systems at the community level.     

A real‐time PCR toolbox for accurate identification of invasive fruit fly species

Significant plant pests such as fruit flies that travel with fresh produce between countries as eggs or larvae pose a great economic threat to the agriculture and fruit industry worldwide. Time‐limited and expensive quarantine decisions require accurate identification of such pests. Immature stages are often impossible to identify, making them a serious concern for biosecurity agencies. Use of COI barcoding PCR, often the only molecular identification resource, is time‐consuming. We assess the suitability of the COI barcoding region for real‐time PCR assays to identify four pest fruit fly species (Family: Tephritidae), in a diagnostic framework. These species, namely Mediterranean fruit fly (Ceratitis capitata), Queensland fruit fly (Bactrocera tryoni), African invader fly (Bactrocera invadens) and Island fly (Dirioxa pornia) each provide a different set of genetic species delimitation problems. We discuss the benefits and limitations of using a single‐gene TaqMan^? real‐time approach for such species. Our results indicate that COI‐based TaqMan^? real‐time PCR assays, in particular for genetically distinct species, provide an accurate, sensitive and rapid diagnostic tool.     

Domain-specific Quantification of Prion Protein in Cerebrospinal Fluid by Targeted Mass Spectrometry

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Highlights

• •Targeted mass spectrometry assay to quantify prion protein (PrP) in spinal fluid.
• •Precise measurement of PrP peptide concentration across protein domains.
• •Peptides are uniformly decreased in symptomatic prion disease patients.
• •Assay applicable to humans and preclinical species for drug development.

     

MicroRNAs expression profiles as diagnostic biomarkers of gastric cancer: a systematic literature review

Objective: The early identification of gastric cancer (GC) represents a major clinical challenge. We conducted a systematic review of studies evaluating the miRNA expression profiling as a diagnostic tool in GC.

Methods: We performed a search of PubMed, ISI Web of Science and SCOPUS databases for studies on diagnostic miRNAs and GC, published in English up to October 2017. Eligibility criteria included case-control studies evaluating blood or tissue-based miRNA expression profiles, and incorporating at least two detection phases (screening and validation).

Results: We included 27 eligible studies, that reported on 97 deregulated miRNAs either in blood or tissue, out of which 30 were reported in at least two studies. Among 22 studies on tissue-diagnostic miRNAs, 13 consistently upregulated miRNAs (miR-214, miR-21, miR-103, miR-107, miR-196a, miR-196b, miR-7, miR-135b, miR-222, miR-23b, miR-25, miR-92 and miR-93), and six consistently downregulated miRNAs (miR-148a, miR-375, miR-133b, miR-30a, miR-193a and miR-204) were reported. Ten miRNAs with inconsistent direction of expression in tissues were identified. Among the five studies performed on blood samples, only one miRNA was consistently upregulated (miR-20a).

Conclusions: This review shows that some tissue or blood miRNAs may be considered as potential biomarkers for GC diagnosis, that urgently needs to be confirmed from large prospective studies.     

结核分枝杆菌多表位诊断抗原的制备

将结核分枝杆菌(Mycobacterium tuberculosis,Mtb)多个B细胞预测表位串联表达(命名为B102),并初步评价其作为诊断抗原的血清学诊断价值。将MtbPstS1、ESAT6、CFP10、Ag85B、Ag85A及PPE54等6个蛋白的11个B细胞预测表位串联,加入合适的连接臂后全基因合成;将多表位片段插入带有TRX标签的表达质粒中,在大肠杆菌BL21(DE3)中诱导表达,并利用Ni~(2+)-Chelating亲和层析和DEAE阴离子交换层析纯化目的蛋白;利用Western blotting (WB)技术对目的蛋白抗原性进行鉴定,并建立Mtb抗体检测竞争法ELISA技术,初步评价此方法对阴阳血清样本的鉴别能力。目的蛋白以包涵体形式存在,其表达量约占菌体总蛋白的31.25%,经纯化及复性后蛋白B102可溶性存在,浓度为3.124mg/mL,纯度为96.71%;WB实验表明目的蛋白能与Mtb阳性血清相应抗体发生反应。对60份Mtb阳性血清及60份Mtb阴性血清进行检测得出其灵敏度为90.00%,特异性为93.33%,阳性预测值为93.10%,阴性预测值为90.32%,符合率为91.67%,McNemer检验的结果提示与"金标准"诊断结果无差异,Kappa=0.833,提示两种方法诊断结果一致性优异。原核表达与层析纯化可以获取抗原性优异的Mtb多表位诊断抗原,作为诊断抗原可以应用于Mtb的血清学检测中。     

The concept of mental disorder: diagnostic implications of the harmful dysfunction analysis

What do we mean when we say that a mental condition is a medical disorder rather than a normal form of human suffering or a problem in living? The status of psychiatry as a medical discipline depends on a persuasive answer to this question. The answers tend to range from value accounts that see disorder as a sociopolitical concept, used for social control purposes, to scientific accounts that see the concept as strictly factual. I have proposed a hybrid account, the harmful dysfunction (HD) analysis, that incorporates both value and scientific components as essential elements of the medical concept of disorder, applying to both physical and mental conditions. According to the HD analysis, a condition is a disorder if it is negatively valued ("harmful") and it is in fact due to a failure of some internal mechanism to perform a function for which it was biologically designed (i.e., naturally selected). The implications of this analysis for the validity of symptom-based diagnostic criteria and for challenges in cross-cultural use of diagnostic criteria are explored, using a comparison of the application of DSM diagnostic criteria in the U.S. and Taiwan.