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Your search keyword '"Li, Hang"' showing total 209 results
Start Over Author "Li, Hang" Publisher biomed central
209 results on '"Li, Hang"'

19. Homozygous mutation in SLO3 leads to severe asthenoteratozoospermia due to acrosome hypoplasia and mitochondrial sheath malformations

Author

Lv, Mingrong, Liu, Chunyu, Ma, Chunjie, Yu, Hui, Shao, Zhongmei, Gao, Yang, Liu, Yiyuan, Wu, Huan, Tang, Dongdong, Tan, Qing, Zhang, Junqiang, Li, Kuokuo, Xu, Chuan, Geng, Hao, Zhang, Jingjing, Li, Hang, Mao, Xiaohong, Ge, Lei, Fu, Feifei, Zhong, Kaixin, Xu, Yuping, Tao, Fangbiao, Zhou, Ping, Wei, Zhaolian, He, Xiaojin, Zhang, Feng, and Cao, Yunxia

Published
2022
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20. The Velvet transcription factor PnVeA regulates necrotrophic effectors and secondary metabolism in the wheat pathogen Parastagonospora nodorum.

Author

Morikawa, Shota, Verdonk, Callum, John, Evan, Lenzo, Leon, Sbaraini, Nicolau, Turo, Chala, Li, Hang, Jiang, David, Chooi, Yit-Heng, and Tan, Kar-Chun

Subjects
SECONDARY metabolism, GENE clusters, WHEAT, RNA sequencing, REVERSE transcriptase polymerase chain reaction
Abstract

The fungus Parastagonospora nodorum causes septoria nodorum blotch on wheat. The role of the fungal Velvet-family transcription factor VeA in P. nodorum development and virulence was investigated here. Deletion of the P. nodorum VeA ortholog, PnVeA, resulted in growth abnormalities including pigmentation, abolished asexual sporulation and highly reduced virulence on wheat. Comparative RNA-Seq and RT-PCR analyses revealed that the deletion of PnVeA also decoupled the expression of major necrotrophic effector genes. In addition, the deletion of PnVeA resulted in an up-regulation of four predicted secondary metabolite (SM) gene clusters. Using liquid-chromatography mass-spectrometry, it was observed that one of the SM gene clusters led to an accumulation of the mycotoxin alternariol. PnVeA is essential for asexual sporulation, full virulence, secondary metabolism and necrotrophic effector regulation. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Improving medical certification of cause of death: effective strategies and approaches based on experiences from the Data for Health Initiative

Author

Hart, John D., Sorchik, Renee, Bo, Khin Sandar, Chowdhury, Hafizur R., Gamage, Saman, Joshi, Rohina, Kwa, Viola, Li, Hang, Mahesh, Buddhika P. K., Mclaughlin, Deirdre, Mikkelsen, Lene, Miki, Janet, Napulan, Roderick, Rampatige, Rasika, Reeve, Matthew, Sarmiento, Carmina, War, Nang Su, Richards, Nicola, Riley, Ian D., and Lopez, Alan D.

Published
2020
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46. Head-to-head comparison of perfluorobutane contrast-enhanced US and multiparametric MRI for breast cancer: a prospective, multicenter study.

Author

Lang, Manlin, Liang, Ping, Shen, Huiming, Li, Hang, Yang, Ning, Chen, Bo, Chen, Yixu, Ding, Hong, Yang, Weiping, Ji, Xiaohui, Zhou, Ping, Cui, ligang, Wang, Jiandong, Xu, Wentong, Ye, Xiuqin, Liu, Zhixing, Yang, Yu, Wei, Tianci, Wang, Hui, and Yan, Yuanyuan

Subjects
BREAST cancer, RECEIVER operating characteristic curves, CONTRAST-enhanced ultrasound, MAGNETIC resonance imaging
Abstract

Background: Multiparametric magnetic resonance imaging (MP-MRI) has high sensitivity for diagnosing breast cancers but cannot always be used as a routine diagnostic tool. The present study aimed to evaluate whether the diagnostic performance of perfluorobutane (PFB) contrast-enhanced ultrasound (CEUS) is similar to that of MP-MRI in breast cancer and whether combining the two methods would enhance diagnostic efficiency. Patients and methods: This was a head-to-head, prospective, multicenter study. Patients with breast lesions diagnosed by US as Breast Imaging Reporting and Data System (BI-RADS) categories 3, 4, and 5 underwent both PFB-CEUS and MP-MRI scans. On-site operators and three reviewers categorized the BI-RADS of all lesions on two images. Logistic-bootstrap 1000-sample analysis and cross-validation were used to construct PFB-CEUS, MP-MRI, and hybrid (PFB-CEUS + MP-MRI) models to distinguish breast lesions. Results: In total, 179 women with 186 breast lesions were evaluated from 17 centers in China. The area under the receiver operating characteristic curve (AUC) for the PFB-CEUS model to diagnose breast cancer (0.89; 95% confidence interval [CI] 0.74, 0.97) was similar to that of the MP-MRI model (0.89; 95% CI 0.73, 0.97) (P = 0.85). The AUC of the hybrid model (0.92, 95% CI 0.77, 0.98) did not show a statistical advantage over the PFB-CEUS and MP-MRI models (P = 0.29 and 0.40, respectively). However, 90.3% false-positive and 66.7% false-negative results of PFB-CEUS radiologists and 90.5% false-positive and 42.8% false-negative results of MP-MRI radiologists could be corrected by the hybrid model. Three dynamic nomograms of PFB-CEUS, MP-MRI and hybrid models to diagnose breast cancer are freely available online. Conclusions: PFB-CEUS can be used in the differential diagnosis of breast cancer with comparable performance to MP-MRI and with less time consumption. Using PFB-CEUS and MP-MRI as joint diagnostics could further strengthen the diagnostic ability. Trial registration Clinicaltrials.gov; NCT04657328. Registered 26 September 2020. IRB number 2020-300 was approved in Chinese PLA General Hospital. Every patient signed a written informed consent form in each center. [ABSTRACT FROM AUTHOR]

Published
2023
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