Early posterior vitreous detachment is associated with LAMA5 dominant mutation

Background: Extracellular matrix molecular components, previously linked to multisystem syndromes include collagens, fibrillins and laminins. Recently, we described a novel multisystem syndrome caused by the c.9418G>A p.(V3140M) mutation in the laminin alpha-5 (LAMA5) gene, which affects connective tissues of all organs and apparatus in a three generation family. In the same family, we have also reported a myopic trait, which, however, was linked to the Prolyl 4-hydroxylase subunit alpha-2 (P4HA2) gene. Results of investigation on vitreous changes and their pathogenesis are reported in the present study.Materials and Methods: Nineteen family individuals underwent complete ophthalmic examination including best-corrected visual acuity (BCVA), fundus examination, fundus photography, intraocular pressure measurement, axial length measurement using ocular biometry, Goldmann visual field examination, standard electroretinogram, SD-OCT. Segregation analysis of LAMA5 and P4HA2 mutations was performed in enrolled members.Results: The vitreous alterations fully segregated with LAMA5 mutation in both young and adult family members. Slight reduction of retinal thickness and peripheral retinal degeneration in only two patients were reported.Conclusions: In this work we showed that PVD is a common trait of LAMA5 multisystem syndrome, therefore occurring as an age-unrelated trait. We hypothesize that the p.(V3140M) mutation results in a reduction of retinal inner limiting membrane (ILM) stability, leading to a derangement in the macromolecular structure of the vitreous gel, and PVD. Further investigations will be necessary to elucidate the role of wild type and mutated LAMA5 in the pathogenesis of PVD.     

Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features

PurposeThe purpose of this study was to determine whether computed tomography (CT)-based machine learning of radiomics features could help distinguish autoimmune pancreatitis (AIP) from pancreatic ductal adenocarcinoma (PDAC).Materials and MethodsEighty-nine patients with AIP (65 men, 24 women; mean age, 59.7 ± 13.9 [SD] years; range: 21–83 years) and 93 patients with PDAC (68 men, 25 women; mean age, 60.1 ± 12.3 [SD] years; range: 36–86 years) were retrospectively included. All patients had dedicated dual-phase pancreatic protocol CT between 2004 and 2018. Thin-slice images (0.75/0.5 mm thickness/increment) were compared with thick-slices images (3 or 5 mm thickness/increment). Pancreatic regions involved by PDAC or AIP (areas of enlargement, altered enhancement, effacement of pancreatic duct) as well as uninvolved parenchyma were segmented as three-dimensional volumes. Four hundred and thirty-one radiomics features were extracted and a random forest was used to distinguish AIP from PDAC. CT data of 60 AIP and 60 PDAC patients were used for training and those of 29 AIP and 33 PDAC independent patients were used for testing.ResultsThe pancreas was diffusely involved in 37 (37/89; 41.6%) patients with AIP and not diffusely in 52 (52/89; 58.4%) patients. Using machine learning, 95.2% (59/62; 95% confidence interval [CI]: 89.8–100%), 83.9% (52:67; 95% CI: 74.7–93.0%) and 77.4% (48/62; 95% CI: 67.0–87.8%) of the 62 test patients were correctly classified as either having PDAC or AIP with thin-slice venous phase, thin-slice arterial phase, and thick-slice venous phase CT, respectively. Three of the 29 patients with AIP (3/29; 10.3%) were incorrectly classified as having PDAC but all 33 patients with PDAC (33/33; 100%) were correctly classified with thin-slice venous phase with 89.7% sensitivity (26/29; 95% CI: 78.6–100%) and 100% specificity (33/33; 95% CI: 93–100%) for the diagnosis of AIP, 95.2% accuracy (59/62; 95% CI: 89.8–100%) and area under the curve of 0.975 (95% CI: 0.936–1.0).ConclusionsRadiomic features help differentiate AIP from PDAC with an overall accuracy of 95.2%.     

基于灰色关联度分析和聚类分析的3种滇产重楼抗肝癌作用谱效关系探索

目的:研究长柱重楼、滇重楼和南重楼的HPLC指纹图谱与其抗肝癌作用的谱效关系,为明确重楼抗肝癌作用的物质基础提供实验依据。方法:采用HPLC建立3种重楼提取物的指纹图谱,流动相乙腈(A)-水(B)梯度洗脱(0～10 min,20%A; 10～20 min,20%～25%A; 20～30 min,25%～30%A; 30～40 min,30%～35%A; 40～50 min,35%～40%A; 50～60 min,40%A; 60～75 min,40%～45%A; 75～80 min,45%～60%A),流速0. 9 m L·min~(-1),检测波长203 nm;利用噻唑蓝(MTT)比色法测定3种重楼提取物对肝癌HepG2细胞的增殖抑制作用,计算半数抑制浓度(IC_(50));运用聚类分析(HCA)和灰色关联度分析(GRA)研究3种重楼指纹图谱和抗肝癌作用的关系,找出对抗肝癌作用贡献较大的成分。结果:在3种重楼的HPLC指纹图谱中,确定其中11个色谱峰为共有峰。作用时间72 h时长柱重楼、滇重楼、南重楼的IC_(50)分别为148. 33,178. 87,208. 09 mg·L~(-1),其中长柱重楼的抗肝癌活性最强。灰色关联度结果显示,滇重楼共有峰中关联度较高的为1～10号峰,长柱重楼共有峰关联度较高的为1～7号峰,南重楼共有峰中关联度较高的为1～4,6～10,N1号峰,与IC_(50)关联度均0. 7。各重楼变量的聚类分析结果显示,可与IC_(50)聚为一类的色谱峰的关联度均 0. 7。结论:建立了3种重楼的HPLC指纹图谱,重复性良好。3种重楼中的1～4,6和7号色谱峰对抗肝癌药效贡献最大。     

Impact of sampling rate on statistical significance for single subject fMRI connectivity analysis

A typical time series in functional magnetic resonance imaging (fMRI) exhibits autocorrelation, that is, the samples of the time series are dependent. In addition, temporal filtering, one of the crucial steps in preprocessing of functional magnetic resonance images, induces its own autocorrelation. While performing connectivity analysis in fMRI, the impact of the autocorrelation is largely ignored. Recently, autocorrelation has been addressed by variance correction approaches, which are sensitive to the sampling rate. In this article, we aim to investigate the impact of the sampling rate on the variance correction approaches. Toward this end, we first derived a generalized expression for the variance of the sample Pearson correlation coefficient (SPCC) in terms of the sampling rate and the filter cutoff frequency, in addition to the autocorrelation and cross‐covariance functions of the time series. Through simulations, we illustrated the importance of the variance correction for a fixed sampling rate. Using the real resting state fMRI data sets, we demonstrated that the data sets with higher sampling rates were more prone to false positives, in agreement with the existing empirical reports. We further demonstrated with single subject results that for the data sets with higher sampling rates, the variance correction strategy restored the integrity of true connectivity.     

69份苦玄参种质SSR遗传多样性及品质性状相关标记分析

目的:采用简单重复序列(SSR)分子标记技术对广西苦玄参主产区69份苦玄参种质样本进行遗传多样性及亲缘关系分析,并筛选与苦玄参苷含量相关联的优良种质基因。为苦玄参种质资源评价、遗传进化分析及分子标记辅助育种等提供依据。方法:基于转录组测序技术,开发20对引物进行批量扩增。利用各标记位点的遗传多态信息,分析69份苦玄参种质的遗传多样性及亲缘关系,并通过一元线性和多元逐步回归分析,筛选与苦玄参苷含量相关联的分子标记。结果:20对SSR引物共扩增出76个等位基因,平均每个位点观测等位基因3.8个,高于有效等位基因数(1.9692个),稀有等位基因率为38.2%,等位基因分布不均匀。等位基因多态率范围为0~59%,平均38.24%,各位点多态率差异较大。各位点多态信息含量(PIC)变化范围为0~0.6211,平均0.3780;Shannon多态性信息指数变化范围为0~1.2401,平均0.7590;Nei’s基因多样性指数(Nei)变化范围为0~0.6823,平均0.4409;以上3个指标最高的为P21,最低为P7,各位点遗传多样性存在较大差异。各位点平均观测杂合度为0.3824,低于平均期望杂合度(0.4425),表现为杂合子缺失;平均遗传分化系数Fst为0.3659;基因流Nm平均值为0.4332,种质遗传分化较大,基因流较小。一元线性回归分析和多元逐步回归分析结果表明,与苦玄参苷IA和IB相关的位点各有5个,其中仅有1个位点与2个成分的含量均相关。结论:20个SSR标记位点遗传多样性存在较大的差异,供试69份种质遗传分化大,基因流较小;从供试20个SSR标记中筛选出9个与苦玄参苷含量相关联的标记位点,试验结果可为苦玄参遗传进化分析及良种选育和繁育等提供依据。     

基于1H-NMR植物代谢组学技术分析青海产区枸杞子的化学特征

目的:采用核磁共振氢谱(~1H-NMR)植物代谢组学技术比较青海产区枸杞子与其他产区(宁夏、甘肃、新疆、内蒙古)枸杞子的化学成分差异。方法:收集5个产区共97份枸杞子样本,其中青海61个样本,采用50%甲醇提取,检测~1H-NMR图谱,结合多元统计分析,对比青海产区枸杞子与其他产区枸杞子的化学差异性,并对各产区样本的枸杞多糖进行含量测定(以无水葡萄糖计),检测波长490 nm。结果:枸杞子的~1H-NMR图谱共检测到32个化学成分,多元统计分析表明青海产区枸杞子与其他产区样本相比,无明显分离趋势;青海产区枸杞子与宁夏产区相比,以及青海省6个不同地区的枸杞子相比,重叠样品较多,均不能显著分开。相似度结果表明,大多数样品的相似度0.85;化合物的单变量分析结果显示,除了蔗糖、葡萄糖、脯氨酸等个别代谢物在各产区样本中存在显著差异外,其余代谢物在各产区样品中的含量分布基本一致。青海与其他产区样本中枸杞多糖含量无显著性差异,且枸杞多糖含量与~1H-NMR指认的小分子化合物的相关系数处于-0.2～0.4。结论:采用~1HNMR植物代谢组学技术从整体化学组成上分析了青海产区枸杞子的化学特征,并结合枸杞多糖含量测定,显示青海产区枸杞子与其他产区枸杞子的化学差异较小。建立的基于~1H-NMR的枸杞子质量评价方法可为其质控水平提升及种植产区选择提供科学依据。     

中医气郁质的研究进展

体质是在先天遗传和后天获得共同影响下形成的个体在形态结构和功能活动方面所固有的、相对稳定的特点,并且与心理性格具有相关性。其中气郁质的表现多与心理性格具有较大的相关性,同时由于当代社会的快速发展,各种危机和压力使年轻人成为气郁质的高发人群,因此探究气郁质的相关研究具有重大意义。本文通过对近些年来所发表的气郁质相关文献进行总结,重点从气郁质的人群分布调查研究、体病相关研究、调体干预研究以及实验室相关指标的研究四个方面进行分析阐述。最后对目前关于气郁质的研究中存在的优点和不足进行思考,并提出气郁质研究应在中医理论为指导的基础上,通过现代分子生物学实验或临床干预调体研究,揭示气郁质的本质和其量化诊疗标准,丰富气郁质的理论数据支持,促进中医体质学与多学科的交互发展。