心肺运动试验（CPET）评价个体化精准运动整体方案强化管控心脑血管慢病疗效的临床研究*

目的: 探讨研究症状限制性极限运动心肺运动试验（CPET）评价个体化精准运动整体方案强化管控3月后（简称强化管控）的长期慢病患者整体功能的改善。方法: 选取2014年至2016年由我们团队强化管控的长期心脑血管代谢慢病为主的患者20例,签署知情同意书后完成CPET,根据CPET及连续功能学检测结果制定以个体化适度运动强度为核心的整体管理方案,强化管控3月后再行CPET,个体化分析每例患者强化管控前后CPET指标的变化、计算差值和百分差值。结果: 本研究心脑血管代谢性慢病为主的患者20例（18男2女）,年龄（55.75±10.80,26~73）岁,身高（172.20±8.63,153~190）cm,体重（76.35±15.63,53~105）kg,所有患者CPET和强化管控期间均无任何危险事件发生。①强化管控后患者静态肺功能指标及静息收缩压、心率收缩压乘积和空腹血糖等均显著改善（P<0.05）。②强化管控前峰值摄氧量为（55.60±15.69,34.37~77.45）%pred和无氧阈为（60.11±12.26,43.29~80.63）%pred;强化管控后峰值耗氧量为（71.85±21.04,42.40~102.00）%pred和无氧阈为（74.95±17.03,51.90~99.47）%pred;管控后较管控前峰值摄氧量和无氧阈显著提高分别达（29.09±7.38,17.78~41.80）%和（25.16±18.38,1.77~81.86）%（P均<0.01）;其他核心指标峰值氧脉搏、峰值负荷功率、摄氧通气效率平台和递增功率运动持续时间均显著升高（P均<0.01）,二氧化碳排出通气效率最低值及二氧化碳排出通气斜率也显著好转（P<0.01）。③个体化分析而言,强化管控后15例上述8项CPET核心指标全部改善,另5例7项指标改善;全部病例峰值摄氧量（%pred）提高>15%以上,16例>20%,13例>25%,10例>30%。结论: CPET能安全客观定量地评估人体整体功能状态和治疗效果、指导制定个体化精准运动强度。个体化精准运动整体方案强化管控三个月能安全有效逆转长期心脑血管代谢等慢病患者的整体功能状态和异常指标。     

彩色多普勒超声对盆腔瘀血综合征的诊断价值及与临床因素的相关性研究

目的:探讨盆腔瘀血综合征患者彩色多普勒超声的影像学特征及与临床因素的相关性。方法:对112例盆腔瘀血综合征患者行彩色多普勒超声检查,按超声诊断分级Ⅰ级、Ⅱ级、Ⅲ级分为62例、27例、23例,观察彩色多普勒超声的影像学特征,分析静脉内径与病程的相关性,并分析超声诊断分级与临床症状积分、体质量指数(BMI)、妊娠次数、既往工作站立时间的相关性。结果:不同超声诊断分级患者的静脉内径、静脉丛范围和静脉流速差异具有统计学意义(P<0.05)。静脉内径与病程呈正相关(P<0.05),超声诊断分级与临床症状积分、妊娠次数、既往工作站立时间呈显著正相关(P<0.05),与BMI呈负相关(P<0.05)。结论:彩色多普勒超声对盆腔瘀血综合征具有特异性的诊断价值,超声诊断分级、静脉内径与临床因素存在一定的的关联性。     

呼吸中的疾病诊断标志物及检测技术

人类呼出气体中的各种化合物能提供各种疾病和健康状况的重要信息。近年来,由于红外、电化学、化学发光等新技术的重大突破和质谱仪的使用,使得在极低浓度下精确测量呼出的挥发性有机化合物(VOCs)和气溶胶颗粒成为可能,呼吸检测领域因而取得了重大进展:,呼吸检测因其可以作为一种实时、快速和无创的方法来评估和监测各种疾病与健康状况信息,在科学研究、临床运用中引起了广泛关注。本综述主要概述呼出气体成分分析方法及在疾病诊断中的研究与应用情况,旨在为将来疾病的实时、快速和无创诊断提供一种新的策略.     

Population-based carrier screening and prenatal diagnosis of fragile X syndrome in East Asian populations

Identification of carriers of fragile X syndrome (FXS) with the subsequent prenatal diagnosis and knowledge of FXS-associated genetic profiles are essential for intervention in specific populations. We report the results of carrier screening of 39,458 East Asian adult women and prenatal diagnosis from 87 FXS carriers. The prevalence of FXS carriers and full mutation fetuses was estimated to be 1/581 and 1/3124 in East Asian populations, respectively. We confirmed the validity of the current threshold of CGG trinucleotide repeats for FMR1 categorization; the integral risks of full mutation expansion were approximately 6.0%, 43.8%, and 100% for premutation alleles with 55–74, 75–89, and ≥ 90 CGG repeats, respectively. The protective effect of AGG (adenine-guanine-guanine nucleotides) interruption in East Asian populations was validated, which is important in protecting premutation alleles with 75–89 CGG repeats from full mutation expansion. Finally, family history was shown not an effective indicator for FXS carrier screening in East Asian populations, and population-based screening was more cost-effective. This study provides an insight into the largest carrier screening and prenatal diagnosis for FXS in East Asian populations to date. The FXS-associated genetic profiles of East Asian populations are delineated, and population-based carrier screening is shown to be promising for FXS intervention.     

Using vaginal discharge score (VDS) grading system to evaluate the effect of clinical endometritis on reproductive performance of dairy cows in China

Clinical endometritis (CE) is a major cause in affecting the reproductive performance of dairy cows. The objectives of this study were to ascertain the prevalence of CE and to evaluate the effect of CE on reproductive performance in dairy cows using vaginal discharge score (VDS) grading system. 803 dairy cows were examined by vaginoscope with 4-point VDS at 26 ± 3 days in milk (DIM) and classified into six groups: non-endometritis with VDS 0 (control; CON), endometritis with VDS 1 (MEM), non-treated endometritis with VDS 2 (NTME), treated endometritis with VDS 2 (TME), non-treated endometritis with VDS 3 (NTPE), and treated endometritis with VDS 3 (TPE). Cows in TME and TPE groups were treated with 200 mL of 50% dextrose solution by intrauterine infusion. The prevalence of CE was 33% at 26 ± 3 DIM. Binary logistic regression analysis revealed cows in MEM, NTME and NTPE groups had a less likelihood of first artificial insemination (AI) pregnancy than those in CON group (P < 0.05). Kaplan-Meier survival curves for days open were statistically different (P = 0.004). In Cox regression model, cows in NTME and NTPE groups had a reduced pregnancy rate than those in CON group (P < 0.05). The hazard of pregnancy in NTME group was lower than that in TME group (P = 0.044). Similarly, it was lower for the hazard of pregnancy in NTPE group than in TPE group (P = 0.048). Cows in MEM, NTME, and NTPE groups required more services per pregnancy than those in CON group (P < 0.05). In conclusion, CE examined by the VDS grading system impaired reproductive performance, and mild endometritis with VDS 1 should be treated in the early postpartum period to ameliorate fertility in dairy herds.     

Serological tests for COVID-19: Potential opportunities

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel betacoronavirus, caused a pandemic leading to a standstill of nearly all global activities. There are some controversies on the production of specific immunoglobulin M (IgM) and IgG antibodies after the infection with SARS-CoV-2. This paper seeks to elaborate on the potential application of IgM and IgG antibodies and the viral antigens for the diagnosis and the course of the disease as well as the recurrence of positive nucleic acid tests after discharge.     

An Approach Based on Mutually Informed Neural Networks to Optimize the Generalization Capabilities of Decision Support Systems Developed for Heart Failure Prediction

Available clinical methods for heart failure (HF) diagnosis are expensive and require a high-level of experts intervention. Recently, various machine learning models have been developed for the prediction of HF where most of them have an issue of over-fitting. Over-fitting occurs when machine learning based predictive models show better performance on the training data yet demonstrate a poor performance on the testing data and the other way around. Developing a machine learning model which is able to produce generalization capabilities (such that the model exhibits better performance on both the training and the testing data sets) could overall minimize the prediction errors. Hence, such prediction models could potentially be helpful to cardiologists for the effective diagnose of HF. This paper proposes a two-stage decision support system to overcome the over-fitting issue and to optimize the generalization factor. The first stage uses a mutual information based statistical model while the second stage uses a neural network. We applied our approach to the HF subset of publicly available Cleveland heart disease database. Our experimental results show that the proposed decision support system has optimized the generalization capabilities and has reduced the mean percent error (MPE) to 8.8% which is significantly less than the recently published studies. In addition, our model exhibits a 93.33% accuracy rate which is higher than twenty eight recently developed HF risk prediction models that achieved accuracy in the range of 57.85% to 92.31%. We can hope that our decision support system will be helpful to cardiologists if deployed in clinical setup.     

Short communication: Single tube allele specific (STAS) PCR for direct determination of the mutation in the porcine ryanodine receptor gene associated with malignant hyperthermia

The ability to add or delete specific genes in swine will likely provide considerable benefits not just to agriculture but also to medicine, where pigs have potential as models for human disease and as organ donors. Here we have transferred nuclei from a genetically modified fibroblast cell line to porcine oocytes, matured in vitro under defined culture conditions, to create piglets expressing enhanced green fluorescent protein. The nuclear transfer-derived piglets were of normal size, although some mild symptoms of “large offspring syndrome” were evident. These experiments represent a next step towards creating swine with more useful genetic modifications.     

A partnership project for a new Red List of the Italian Flora

Abstract

The IUCN Red Lists assessment provides an internationally accepted system to verify the extinction risk of species. Working Groups of the Italian Botanical Society have recently discussed the importance of producing a reliable list of species at the national level. This list could be the starting point for future in situ and ex situ plant conservation activities.     

Integrating GIS and expert judgment in a multi-criteria analysis to map and develop a habitat suitability index: A case study of large mammals on the Malayan Peninsula

Many habitat patches in tropical landscapes have become less suitable for wildlife due to an increase in anthropogenic disturbances. An index of habitat suitability based on the ecological factors that collectively determine the suitability of an organism's habitat is important for conservation planning. However, a widely accepted and comprehensive multi-criteria habitat suitability index for umbrella species is still lacking, particularly in areas where information related to the biology and ecology of the species of interest is not available. Therefore we develop preliminary habitat maps and measure the degree of habitat suitability for large mammals, focusing on four umbrella species in the State of Selangor, Peninsular Malaysia: Panthera tigris jacksoni (Malayan tiger), Tapirus indicus (Malayan tapir), Helarctos malayanus malayanus (Malayan sun bear), and Rusa unicolor cambojensis (sambar deer). The former two are endangered and the latter two are vulnerable according to the IUCN Red List. The suitability of habitat patches for each species was measured across the entire study area as well as in nine wildlife protected areas by integrating GIS data and expert opinion. Expert opinions were used as the source of information regarding the stresses faced by the species because there was insufficient information available from ground surveys.We developed an index and maps of habitat suitability for each species, which were then integrated to represent a combined index (ranging from 0 to 27) and spatially explicit maps of the area's habitat suitability for large mammals. The average large mammal habitat suitability index value of the State of Selangor (9) indicates that many habitat patches have become unsuitable for such species. Of the nine wildlife protected areas, Fraser's Hill (22), Sungai Dusun (22), and Bukit Kutu (21) are very suitable; Klang Gate (20) and Templers Park (17) are suitable; and the remaining four are unsuitable for large mammals. We assume that this preliminary habitat suitability index and mapping are useful for conservation planning of wildlife habitats at both landscape and regional scales, as well as providing an initial foundation for revision by future research with significant new information.