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| 1 | Estimation of the age of human semen stains by attenuated total reflection Fourier transform infrared spectroscopy:a preliminary study显示文摘Semen stain is one of the most important biological evidence at sexual crime scenes.Age estimation of human semen stains plays an important role in forensic work,and it is rarely studied due to lack of well-established methods.In this study,the technique called attenuated total reflection Fourier transform infrared spectroscopy(ATR-FTIR)coupled with advanced chemometric methods was employed to determine the age of semen stains on three different substrates:glass slides,tissues and fabric made of regenerated cellulose fibres up to 6 d.Partial least squares regression(PLSR)was used in conjunction with spectral analysis for age estimation,and the results generated high R2 values(cross-validation:0.81,external validation:0.74)but a narrow margin of error for root mean square error(RMSE)(RMSE of cross-validation:0.77 d,RMSE of prediction:1.02 d).Additionally,our results indicated the robustness of PLSR model was not weaken by the influence of different substrates in this study.Our results indicate that ATR-FTIR,combined with chemometric methods,shows great potential as a convenient and efficient tool for age estimation of semen stains.Moreover,the method could be applied to routine forensic investigations in the future. | Shuai Zha Xin Wei Ruoxi Fang Qi Wang Hancheng Lin Kai Zhang Haohui Zhang Ruina Liu Zhouru Li Ping Huang Zhenyuan Wang | 2020 | Forensic Sciences Research2020，5，2： | 2 |
| 2 | The genomes of medicinal skullcaps reveal the polyphyletic origins of clerodane diterpene biosynthesis in the family Lamiaceae显示文摘The presence of anticancer clerodane diterpenoids is a chemotaxonomic marker for the traditional Chinese medicinal plant Scutellaria barbata,although the molecular mechanisms behind clerodane biosynthesis are unknown.Here,we report a high-quality assembly of the 414.98 Mb genome of S.barbata into 13 pseudochromosomes.Using phylogenomic and biochemical data,we mapped the plastidial metabolism of kaurene(gibberellins),abietane,and clerodane diterpenes in three species of the family Lamiaceae(Scutellaria barbata,Scutellaria baicalensis,and Salvia splendens),facilitating the identification of genes involved in the biosynthesis of the clerodanes,kolavenol,and isokolavenol.We show that clerodane biosynthesis evolved through recruitment and neofunctionalization of genes from gibberellin and abietane metabolism.Despite the assumed monophyletic origin of clerodane biosynthesis,which is widespread in species of the Lamiaceae,our data show distinct evolutionary lineages and suggest polyphyletic origins of clerodane biosynthesis in the family Lamiaceae.Our study not only provides significant insights into the evolution of clerodane biosynthetic pathways in the mint family,Lamiaceae,but also will facilitate the production of anticancer clerodanes through future metabolic engineering efforts. | Haixiu Li Song Wu Ruoxi Lin Yiren Xiao Ana Luisa Malaco Morotti Ya Wang Meytal Galilee Haowen Qin Tao Huang Yong Zhao Xun Zhou Jun Yang Qing Zhao Angelos K.Kanellis Cathie Martin Evangelos C.Tatsis | 2023 | Molecular Plant2023，16，3： | 2 |
| 3 | 美国一般人群尿镉水平与心电图改变的关系显示文摘[目的]观察美国一般人群的尿镉水平与心电图改变的关系,了解镉暴露对心电图的影响。[方法]利用美国第三次国家健康与营养调查(NHANESⅢ)中进行心电图测量,年龄≥40岁的6 889名参与者作为研究对象。采用标准十二导联心电图分析系统记录心电图参数;采用原子吸收光谱法测定尿镉含量。按性别分层,运用多元线性回归分析尿镉水平与心电图改变的关系。[结果]尿镉平均水平为(0.7±0.01)μg/g肌酐,其中男性人群平均(0.6±0.02)μg/g肌酐;女性(0.8±0.02)μg/g肌酐;在男性群体,尿镉水平四分位最高与最低等分相比,多因素调整的心率、PRrr间期、QTrr间期和QRS间期变化及其95%CI分别为1.72(0.05~3.4)次/分,-3.87(-7.3^-0.45)ms,-0.39(-4.09~3.22)ms和-2.64(-4.96^-0.33)ms。在女性群体,尿镉水平最高与最低等分相比,上述相应的心电图参数变化及其95%CI分别为-0.19(-1.72~1.33)次/分,-0.09(-4.13~3.94)ms,1.59(-1.05~4.23)ms和-1.11(-2.68~0.47)ms。[结论]尿镉水平与美国男性一般人群的心电图改变存在一定的关联。 | 黎小飞 Eliseo GUALLAR Ruoxi LIN Yiyi ZHANG 钟秋安 | 2015 | 环境与职业医学2015，32，3： | 1 |
| 4 | Nail pigmentation induced by chemotherapy:an observational study of patients with early-stage breast cancer显示文摘Purpose:Chemotherapy-induced nail pigmentation is a common adverse efect,but prospective studies focussing on its onset,recovery,and severity are few.We aim to evaluate the pattern of chemotherapy-induced nail pigmentation in early-stage breast cancer patients by calculating the comprehensive score based on hyperpigmentation area and color depth of the nail plate.Methods:This prospective,observational study was conducted between February 2019 and December 2019.Early-stage breast cancer patients scheduled to receive anthracyclines combined with cyclophosphamide or taxanecontaining regimens were enrolled.The clinicopathologic characteristics and treatment protocols were collected.The onset,patterns,and duration of nail changes were photographed and recorded regularly.Results:A total of 90 patients were enrolled.The most common nail change was nail pigmentation(n=81,90.0%),followed by onycholysis(n=39,43.3%),Beau’s lines(n=19,21.1%),Mees’lines(n=16,17.8%),Muehrcke’s lines(n=7,7.8%),and hemorrhage(n=1,1.1%).Forty-four(48.9%)patients developed severe nail pigmentation.The median onset time of nail pigmentation was 37 days after the initiation of chemotherapy.At the latest follow-up,55(67.9%)patients achieved remission of melanonychia with the median recovery time of 118 days.The median duration of nail pigmentation was 214 days.Conclusion:Our study revealed the specifc pattern of chemotherapy-induced nail pigmentation,which onsets early and recovers slowly with a high incidence of severe nail pigmentation,in early-stage breast cancer patients.The results provide reference for further intervention studies.Trial Registration:ClinicalTrials.gov Identifer:NCT04215744.Registered 30 December 2019—Retrospectively registered. | Kuikui Jiang Simei Shi Qiulian Lin Peng Sun Luan Zhang Zhongyu Yuan Ruoxi Hong Yanxia Shi Xia Liu Jingmin Zhang Jiajia Huang Xiwen Bi Wen Xia Qianyi Lu Qiufan Zheng Shusen Wang Fei Xu | 2022 | Holistic Integrative Oncology2022，1，1： | 0 |
| 5 | Handwashing quality assessment via deep learning:a modelling study for monitoring compliance and standards in hospitals and communities显示文摘Background Hand hygiene can be a simple,inexpensive,and effective method for preventing the spread of infectious diseases.However,a reliable and consistent method for monitoring adherence to the guidelines within and outside healthcare settings is challenging.The aim of this study was to provide an approach for monitoring handwashing compliance and quality in hospitals and communities.Methods We proposed a deep learning algorithm comprising three-dimensional convolutional neural networks(3D CNNs)and used 230 standard handwashing videos recorded by healthcare professionals in the hospital or at home for training and internal validation.An assessment scheme with a probability smoothing method was also proposed to optimize the neural network’s output to identify the handwashing steps,measure the exact duration,and grade the standard level of recognized steps.Twenty-two videos by healthcare professionals in another hospital and 28 videos recorded by civilians in the community were used for external validation.Results Using a deep learning algorithm and an assessment scheme,combined with a probability smoothing method,each handwashing step was recognized(ACC ranged from 90.64%to 98.87%in the hospital and from 87.39%to 96.71%in the community).An assessment scheme measured each step’s exact duration,and the intraclass correlation coefficients were 0.98(95%CI:0.97-0.98)and 0.91(95%CI:0.88-0.93)for the total video duration in the hospital and community,respectively.Furthermore,the system assessed the quality of handwashing,similar to the expert panel(kappa=0.79 in the hospital;kappa=0.65 in the community).Conclusions This work developed an algorithm to directly assess handwashing compliance and quality from videos,which is promising for application in healthcare settings and communities to reduce pathogen transmis-sion. | Ting Wang Jun Xia Tianyi Wu Huanqi Ni Erping Long Ji-Peng Olivia Li Lanqin Zhao Ruoxi Chen Ruixin Wang Yanwu Xu Kai Huang Haotian Lin | 2022 | Intelligent Medicine2022，2，3： | 0 |
| 6 | Digital gene expression profiling analysis of A549 cells cultured with PM10 in moxa smoke显示文摘Background:Moxibustion is a traditional Chinese medicine therapy to cure diseases by fumigating meridians or affected parts via burning of moxa floss.Moxa smoke(MS)is one of the key factors in moxibustion.In this study,we adopted digital gene expression profiling,a next-generation gene sequencing technology,to investigate the effect of MS,inhalable particulate matter(PM10),on human lung adenocarcinoma A549 cells.Methods:The effects of MS PM10 on A549 cells,over different treatment durations were investigated in different groups:the 4-h group(4-h MS group and 4-h control group)and the 20-h group(20-h MS group and 20-h control group).Samples collected from the four groups were stored at80C for subsequent digital gene expression analysis.The differentially expressed genes(DEGs),identified after PM10 treatment,were screened,and their expression patterns analyzed by cluster analysis,Gene Ontology term enrichment,and Kyoto Encyclopedia of Genes and Genomes pathway analysis.Results:Compared with two control groups,1109 DEGs were identified after 4 h of MS intervention and 3565 DEGs were found after 20 h of MS intervention,respectively.Compared with that after 4-h intervention,2149 DEGs were identified after 20-h intervention.Cluster analysis demonstrated that PM10 can significantly inhibit cell cycle process with the prolongation of intervention time.Significant pathway enrichment analysis showed that MS PM10 can inhibit A549 cell cycle process at all phases.When MS PM10 exposure time prolongs,the inhibitory effect on cell cycle process becomes more obvious.Conclusion:MS PM10 has many biological activities,and may cause differential expression of genes involved in various biological processes.Nevertheless,further research on MS is warranted for better understanding of the mechanistic details. | Xin Hui Ping Liu Li Han Chang Huang Zhihua Yang Maoxiang Zhu Bicheng Yang Ruoxi Li Zhixiu Lin Baixiao Zhao | 2020 | Journal of Traditional Chinese Medical Sciences2020，7，4： | 0 |
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