反相高效液相色谱法分析纤溶酶纯度的方法研究

目的 建立纤溶酶反相高效液相色谱纯度测定方法。方法 采用SHISEIDO CAPCELL PAK C₁₈ SG300（250 mm×4.6 mm，5 μm），以0.1%三氟乙酸溶液-乙腈（95：5）为流动相A，以0.08%三氟乙酸溶液-乙腈（20：80）为流动相B，进行梯度洗脱，体积流量为0.7 mL·min^-1，检测波长280 nm，柱温40℃。参照2020年版《中国药典》四部9101药品质量标准分析方法验证指导原则进行专属性、检测限、耐用性考察。应用所建立的方法和分子排阻色谱法对3批样品纯度进行检测。结果 建立的反相色谱法专属性强，检测限为0.01%，耐用性强。对3批样品进行检测，质量分数在93.5%~96.9%，结果准确。结论 建立反相色谱法测定纤溶酶纯度，分辨率更高、重现性更好，可进行更好的质量控制。     

The usefulness of measuring n-butyric acid concentration as a new indicator of blood decomposition in forensic autopsy

In forensic medicine, although various alcohols have been reported as indicators of decomposition in collected blood, no studies have examined short-chain fatty acids as indicators. In this study, the blood n-butyric acid concentration was quantified, and the association between n-butyric acid and decomposition was investigated to determine whether the detection of n-butyric acid could be a new indicator of decomposition. Among the forensic autopsies performed from 2016 to 2018 in our laboratory, the cases were divided into decomposed (n = 20) and non-decomposed (n = 20) groups based on macroscopic findings. Blood samples collected at the time of autopsy were derivatized with 3-nitrophenylhydrazine hydrochloride after solid-phase extraction. The n-butyric acid concentration was measured using liquid chromatography–tandem mass spectrometry. In addition, ethanol and n-propanol were measured using a gas chromatography-flame ionization detector. There was a significant difference (p < 0.01) in the concentrations of n-butyric acid between the decomposed and non-decomposed groups (0.343 ± 0.259 [0.030–0.973] and 0.003 ± 0.002 [0.001–0.007] mg/mL, respectively). In the decomposed group, n-butyric acid was detected at high concentrations, even in cases where n-propanol was low. These results suggest that n-butyric acid is more likely to be an indicator of blood decomposition than n-propanol.     

NEMA NU 2-2018标准在PET/CT系统性能测试中的作用评价

目的 评价美国国家电器制造协会(National Electrical Manufactures Association, NEMA)最新标准(NU 2-2018)在正电子发射型计算机断层显像/电子计算机断层显像(positron emission tomography/computed tomography, PET/CT)设备性能检测中的作用。 方法 依据最新的NEMA NU 2-2018标准,检测西门子Biograph Vision PET/CT的空间分辨率、灵敏度、散射分数、计数丢失、随机符合、飞行时间分辨率、计数丢失率和随机符合校正精度、图像质量、衰减和散射校正精度及PET与CT配准精度指标。 结果 距视野中心1 cm处横向和轴向空间分辨率分别为3.75 mm和3.76 mm;在视野中心和轴向10 cm处的灵敏度分别为16.83 kcps/MBq和16.67 kcps/MBq;放射性浓度为27.37 kBq/mL时,最大等效噪声计数率为258.26 kcps,散射分数为38.58%;系统时间分辨率为209.82 ps;图像质量模型的对比度恢复系数范围为88.9%~96.2%,背景变异系数范围为2.05%~6.80%,平均肺插件残余误差为2.43%;计数丢失和随机符合校正最大误差为3.9%;距离床板末端 5 cm 和 100 cm处,在距视野中心Y轴1 cm处,PET和CT的配准精度分别为0.46 mm和1.07 mm,在距视野中心X轴20 cm处,PET和CT的配准精度分别为1.06 mm和1.45 mm,在距视野中心Y轴20 cm处PET和CT的配准精度分别为0.85 mm和1.15 mm。 结论 NEMA NU 2-2018标准检测条件更加接近临床,能更好地反映PET/CT设备的系统性能。     

BIA-ALCL diagnosis on CytoLyt fixed ThinPrep,cell block and immunohistochemistry

Breast implant associated anaplastic large cell lymphoma (BIA-ALCL) is an emergent rare T cell non-Hodgkin lymphoma arising in association with a breast implant, particularly textured ones. Recent guidelines list cytopathological examination as the first essential step for diagnosis, routinely followed by CD30 immunohistochemistry (IHC) and flow cytometry (FC) for a T cell clone. The majority of BIA-ALCL literature regarding cytopathological evaluation describes morphology based on various preparation methods limited to cytospins and smears with the exception of at least one case report detailing cytomorphological and IHC findings on ThinPrep. This case report details initial diagnosis of BIA-ALCL rendered with CytoLyt prepared ThinPrep and cell block, including the specific antibodies used for IHC. The ThinPrep slide showed numerous singly dispersed large, atypical cells with abundant cytoplasm containing irregular nuclei with dispersed chromatin and prominent nucleoli in a background of macrophages, inflammatory cells and granular debris. TIA-1 and CD30 along with other T-cell markers, including specific antibodies, remains immunoreactive in tissue collected in CytoLyt solution. Cell size reduction, artifactual lymphoid cell aggregation and prominent nucleoli in benign and reactive conditions are among other ThinPrep cellular alterations pathologists should bear in mind.     

国产隐球菌荚膜多糖胶体金法检测试剂盒性能评价

目的评价由丹娜(天津)生物科技股份有限公司生产的隐球菌荚膜多糖检测试剂盒(胶体金法,考核试剂)的检测性能。方法选取隐球菌和隐球菌近缘菌及肺部感染常见菌种共28属100株菌作为研究对象,配制0.5麦氏浊度单位(0.5 M)菌液检测试剂的特异性,0.5 M阳性的菌株以10倍倍比稀释液作为灵敏度检测菌液,以2 M和4 M浓度菌液作为钩状效应检测菌液,并以美国Immuno Mycologics公司生产的隐球菌抗原检测(胶体金免疫层析法)试剂盒作为对比试剂,比较两家试剂的一致性。结果31株隐球菌属菌株中,考核试剂检测出阳性25株(新型隐球菌和格特隐球菌均为阳性),阴性6株(维多利亚隐球菌、C.dimennae和大隐球菌);16株毛孢子菌属菌株中,检测出阳性12株,阴性4株;1株Cutaneotrichosporon curvatum检测结果为阳性;52株其他菌株的检测结果均为阴性;灵敏度实验结果显示考核试剂隐球菌最低检出限为1.0×10² CFU/mL;2 M和4 M浓度菌液均未出现钩状效应。结论考核试剂隐球菌荚膜多糖检测试剂盒(胶体金法)检测隐球菌属的灵敏度高于比对试剂;特异性方面存在一定的属内和属外交叉反应,但与对比试剂的检测结果高度一致;考核试剂与比对试剂均无钩状效应产生。     

EEG functional connectivity contributes to outcome prediction of postanoxic coma

ObjectiveTo investigate the additional value of EEG functional connectivity features, in addition to non-coupling EEG features, for outcome prediction of comatose patients after cardiac arrest.MethodsProspective, multicenter cohort study. Coherence, phase locking value, and mutual information were calculated in 19-channel EEGs at 12 h, 24 h and 48 h after cardiac arrest. Three sets of machine learning classification models were trained and validated with functional connectivity, EEG non-coupling features, and a combination of these. Neurological outcome was assessed at six months and categorized as “good” (Cerebral Performance Category [CPC] 1–2) or “poor” (CPC 3–5).ResultsWe included 594 patients (46% good outcome). A sensitivity of 51% (95% CI: 34–56%) at 100% specificity in predicting poor outcome was achieved by the best functional connectivity-based classifier at 12 h after cardiac arrest, while the best non-coupling-based model reached a sensitivity of 32% (0–54%) at 100% specificity using data at 12 h and 48 h. Combination of both sets of features achieved a sensitivity of 73% (50–77%) at 100% specificity.ConclusionFunctional connectivity measures improve EEG based prediction models for poor outcome of postanoxic coma.SignificanceFunctional connectivity features derived from early EEG hold potential to improve outcome prediction of coma after cardiac arrest.     

Predicting osimertinib‐treatment outcomes through EGFR mutant‐fraction monitoring in the circulating tumor DNA of EGFR T790M‐positive patients with non‐small cell lung cancer (WJOG8815L)

The WJOG8815L phase II clinical study involves patients with non‐small cell lung cancer (NSCLC) that harbored the EGFR T790M mutation, which confers resistance to EGFR tyrosine kinase inhibitors (TKIs). The purpose of this study was to assess the predictive value of monitoring EGFR genomic alterations in circulating tumor DNA (ctDNA) from patients with NSCLC that undergo treatment with the third‐generation EGFR‐TKI osimertinib. Plasma samples of 52 patients harboring the EGFR T790M mutation were obtained pretreatment (Pre), on day 1 of treatment cycle 4 (C4) or cycle 9 (C9), and at diagnosis of disease progression or treatment discontinuation (PD/stop). CtDNA was screened for EGFR‐TKI‐sensitizing mutations, the EGFR T790M mutation, and other genomic alterations using the cobas EGFR Mutation Test v2 (cobas), droplet digital PCR (ddPCR), and targeted deep sequencing. Analysis of the sensitizing—and T790M—EGFR mutant fractions (MFs) was used to determine tumor mutational burden. Both MFs were found to decrease during treatment, whereas rebound of the sensitizing EGFR MF was observed at PD/stop, suggesting that osimertinib targeted both T790M mutation‐positive tumors and tumors with sensitizing EGFR mutations. Significant differences in the response rates and progression‐free survival were observed between the sensitizing EGFR MF‐high and sensitizing EGFR MF‐low groups (cutoff: median) at C4. In conclusion, ctDNA monitoring for sensitizing EGFR mutations at C4 is suitable for predicting the treatment outcomes in NSCLC patients receiving osimertinib (Clinical Trial Registration No.: UMIN000022076).

Abbreviations

CIs

confidence intervals

ctDNA

circulating tumor DNA

ddPCR

droplet digital PCR

EGFR

epidermal growth factor receptor

MFs

mutant fractions

NGS

next‐generation sequencing

NSCLC

non‐small cell lung cancer

ORR

overall response rate

OS

overall survival

PD

progressive disease

PFS

progression‐free survival

PR

partial response

SD

stable disease

TKI

tyrosine kinase inhibitor

     

Dynamic functional connectivity of the EEG in relation to outcome of postanoxic coma

ObjectiveEarly EEG contains reliable information for outcome prediction of comatose patients after cardiac arrest. We introduce dynamic functional connectivity measures and estimate additional predictive values.MethodsWe performed a prospective multicenter cohort study on continuous EEG for outcome prediction of comatose patients after cardiac arrest. We calculated Link Rates (LR) and Link Durations (LD) in the α, δ, and θ band, based on similarity of instantaneous frequencies in five-minute EEG epochs, hourly, during 3 days after cardiac arrest. We studied associations of LR and LD with good (Cerebral Performance Category (CPC) 1–2) or poor outcome (CPC 3–5) with univariate analyses. With random forest classification, we established EEG-based predictive models. We used receiver operating characteristics to estimate additional values of dynamic connectivity measures for outcome prediction.ResultsOf 683 patients, 369 (54%) had poor outcome. Patients with poor outcome had significantly lower LR and longer LD, with largest differences 12 h after cardiac arrest (LR_θ 1.87 vs. 1.95 Hz and LD_α 91 vs. 82 ms). Adding these measures to a model with classical EEG features increased sensitivity for reliable prediction of poor outcome from 34% to 38% at 12 h after cardiac arrest.ConclusionPoor outcome is associated with lower dynamics of connectivity after cardiac arrest.SignificanceDynamic functional connectivity analysis may improve EEG based outcome prediction.