共獲得課題項目20項,其中代表性課題如下:
1.國家科技部重點研發(fā)計劃,重點專項,重要和新發(fā)病原真菌耐藥性進(jìn)化規(guī)律、風(fēng)險預(yù)警及診療策略研究,2024-12月至2027-11,800萬元,在研,主持
2.國家科技部重點研發(fā)計劃,青年科學(xué)家項目,不同分子分型格特隱球菌毒力/耐藥機(jī)制及診療新方法研究,2021-12至2024-11,500萬元,結(jié)題,主持
3.國家科技部重點研發(fā)計劃,重大專項,高海拔超長深埋隧道施工作業(yè)人員適應(yīng)性與作業(yè)能力評估技術(shù)研究,2021-12至2024-11,4400萬元,結(jié)題,主要負(fù)責(zé)人
4.國家自然科學(xué)基金委員會,面上項目,基于人工智能和影像組學(xué)肺癌免疫治療療效評估研究,2022-01至2025-12,57萬元,在研,主持
5.國家自然科學(xué)基金委員會,面上項目,巨噬細(xì)胞內(nèi)不同吞噬表型的格特隱球菌致病性差異及分子機(jī)制研究,2024-01至2027-12,49萬元,在研,主持
6.國家自然科學(xué)基金委員會,青年項目,格特隱球菌逃逸巨噬細(xì)胞非特異性免疫應(yīng)答的機(jī)制研究,2018-01至2020-12,20萬元,結(jié)題,主持
7.北京市醫(yī)院管理中心,“登峰”人才培養(yǎng)計劃,2024-01至2028-12,160萬元,在研,主持
8.北京市醫(yī)院管理中心,“揚帆”計劃,隱球菌病的流行病學(xué)、快速診斷、致病機(jī)制及藥物研發(fā),2025-01至2027-12,600萬元,在研,主持
9.北京市委組織部,快速鑒定新生隱球菌和格特隱球菌新方法的研究,2018-01至2020-12,100萬元,結(jié)題,主持
10.北京市自然科學(xué)基金委,新生隱球菌和格特隱球菌對巨噬細(xì)胞不同免疫反應(yīng)的機(jī)制研究,2019-01至2021-12,20萬元,結(jié)題,主持
共有發(fā)明專利26項,其中代表性專利如下:
1.用于快速檢測并鑒定隱球菌的引物和探針及其應(yīng)用,ZL202010159852.0.(實現(xiàn)專利轉(zhuǎn)化1000萬元)
2.一種檢測格特隱球菌的引物對、方法以及試劑盒,ZL202311312469.4.
3.檢測VGIa型隱球菌的引物探針組合、方法及試劑盒,ZL202311312481.5.
4.檢測VGIb型隱球菌的引物探針組合、方法及試劑盒,ZL202311311528.6.
5.一種檢測格特隱球菌的引物探針組合、方法以及試劑盒,ZL202311311517.8.
6.一種檢測新生隱球菌的引物對、方法以及試劑盒,ZL202311314779.X.
7.免疫相關(guān)不良反應(yīng)的標(biāo)志物及其應(yīng)用,ZL202010846330.8.
8.一種肺葉中病灶的定位裝置,ZL201711052288.7.
9.通過肺葉預(yù)測病灶肺段位置的計算方法,ZL202010189037.9.
10.一種基于Transformer的高原肺水腫胸片病灶的分割方法及相關(guān)設(shè)備,ZL202311191474.4.
11.一種用于預(yù)測新冠肺炎預(yù)后的CT影像圖像處理方法,ZL202011093293.4.
12.一種針對新冠肺炎臨床分型的CT影像對比特征學(xué)習(xí)方法,ZL202011093278.X.
13.一種基于病灶加權(quán)損失函數(shù)的新冠肺炎CT影像病灶分割圖像處理方法,ZL202011184330.2.
14.基于肺部非均勻池化的新冠肺炎CT圖像處理方法,ZL 202011184333.6.
15.基于預(yù)篩查的快速標(biāo)注方法和系統(tǒng),ZL201711052490.X.
16.基于卷積神經(jīng)網(wǎng)絡(luò)的肺癌良惡性判別系統(tǒng)和實現(xiàn)裝置,ZL201711324448.9.
17.一種低壓低氧細(xì)胞實驗裝置,ZL201510284781.6.
共發(fā)表SCI文章80余篇,其中代表性文章如下:
1.Xue X.*et al., Cryptococcosis by Cryptococcus gattii in China. Lancet Infect Dis.2015 Oct;15(10):1135-1136. (Q1 IF=36.4)
2.Fan X, Chen L, Chen M, Zhang N, Chang H, He M, Shen Z, Zhang L, Ding H, Xie Y, Huang Y, Ke W, Xiao M, Zang X, Xu H, Fang W, Li S, Cao C, Xu Y, Shan S, Wu W, Chen C, Xue X#, Wang L. Pan-omics-based characterization and prediction of highly multidrug-adapted strains from an outbreak fungal species complex. Innovation (Camb). 2024 Jul 31;5(5):100681. (Q1 IF=33.2)
3.Zhou M, Liu L, Cong Z, Jiang W, Xiao X, Xie J, Luo Z, Chen S, Wu Y, Xue X, Shao N, Liu R. A dual targeting antifungal is effective against multidrug-resistant human fungal pathogens. Nat Microbiol. 2024 May;9(5):1325-1339. (Q1 IF=20.5)
4.Chen L, Zhang L, Xie Y, Wang Y, Tian X, Fang W, Xue X#, Wang L. Confronting antifungal resistance, tolerance, and persistence: Advances in drug target discovery and delivery systems. Adv Drug Deliv Rev. 2023 Sep; 200:115007. (Q1 IF=16.1)
5.Kong X, Cheng L, Dong Z, Huang Y, Xue X#, Wang Z, Wang Y, Zang X, Qian H, Chang L, Wang Y. Rapid Cryptococcus electroporated-lysis and sensitive detection on a miniaturized platform. Biosens Bioelectron. 2024 Apr 15; 250:116096. (Q1 IF=10.7)
6.Tong Y, Zeng Y, Lu Y, Huang Y, Jin Z, Wang Z, Wang Y, Zang X, Chang L, Mu W, Xue X#, Dong Z. Deep learning-enhanced microwell array biochip for rapid and precise quantification of Cryptococcus subtypes. View. 2024 July 18;5(4):20240032. (Q1 IF=9.7)
7.Zang X, Zhou Y, Li S, Shi G, Deng H, Zang X, Cao J, Yang R, Lin X, Deng H, Huang Y, Yang C, Wu N, Song C, Wu L, Xue X#. Latex microspheres lateral flow immunoassay with smartphone-based device for rapid detection of Cryptococcus. Talanta. 2024 Nov 23; 284:127254. (Q1 IF=5.6)
8.Xue X.*et al., Identification of exosomal miRNAs as diagnostic biomarkers for cholangiocarcinoma and gallbladder carcinoma. Signal Transduct Target Ther. 2020 Jun 12;5(1):77. (Q1 IF=40.8)
9.Zang X, Wang Q, Zhou H, Liu S, Xue X#, COVID-19 Early Prone Position Study Group. Efficacy of early prone position for COVID-19 patients with severe hypoxia: a single-center prospective cohort study. Intensive Care Med. 2020 Oct;46(10):1927-1929. (Q1 IF=27.1)
10.Wang S, Yu H, Gan Y, Wu Z, Li E, Li X, Cao J, Zhu Y, Wang L, Deng H, Xie M, Wang Y, Ma X, Liu D, Chen B, Tian P, Qiu Z, Xian J, Ren J, Wang K, Wei W, Xie F, Li Z, Wang Q, Xue X#, Liu Z, Shi J, Li W, Tian J. Mining whole-lung information by artificial intelligence for predicting EGFR genotype and targeted therapy response in lung cancer: a multicohort study. Lancet Digit Health. 2022 May;4(5): e309-e319. (Q1 IF=23.8)
11.Jing Y, Liu J, Ye Y, Pan L, Deng H, Wang Y, Yang Y, Diao L, Lin SH, Mills GB, Zhuang G, Xue X#, Han L. Multi-omics prediction of immune-related adverse events during checkpoint immunotherapy. Nat Commun. 2020 Oct 2;11(1):4946. (Q1 IF=14.7)
12.Lin X, Ma X, Zhao S, Yao J, Han L, Jing Y, Xue X#. Cardiovascular toxicity in antitumor therapy: biological and therapeutic insights. Trends Cancer. 2024 Oct;10(10):920-934. (Q1 IF=14.3)
13.Tan Y, Gao J, Wu C, Zhao S, Yu J, Zhu R, Zhang Q, Wu G, Xue X#, Wu J. CT Characteristics and Pathologic Basis of Solitary Cystic Lung Cancer. Radiology. 2019 May;291(2):495-501. (Q1 IF=12.1)
14.Dong Z, Yan S, Liu B, Hao Y, Lin L, Chang T, Sun H, Wang Y, Li H, Wu H, Hang X, He S, Hu J, Xue X#, Wu N, Chang L. Single Living Cell Analysis Nanoplatform for High-Throughput Interrogation of Gene Mutation and Cellular Behavior. Nano Lett. 2021 Jun 9;21(11):4878-4886. (Q1 IF=11.189)
15.Xie M, Lin X, Bao X, Liang Y, Deng H, Song J, Ma X, Zhang X, Yao J, Pan L, Xue X#. Tertiary Lymphoid Structure in Tumor Microenvironment and Immunotherapy of Lung Cancer. Arch Bronconeumol. 2024 Oct;60 Suppl 2: S77-S85. English, Spanish. (Q1 IF=8.7)
16.Chen Y, Fang Z, Tang Y, Jin Y, Guo C, Hu L, Xu Y, Ma X, Gao J, Xie M, Zang X, Liu S, Chen H, Thomas RK, Xue X#, Ji H, Chen L. Integrative analysis of multi-omics data reveals the heterogeneity and signatures of immune therapy for small cell lung cancer. Clin Transl Med. 2021 Dec;11(12): e620. (Q1 IF=8.554)
17.Ma X, Xie M, Xue Z, Yao J, Wang Y, Xue X#, Wang J. HMMR associates with immune infiltrates and acts as a prognostic biomaker in lung adenocarcinoma. Comput Biol Med. 2022 Dec;151(Pt A):106213. (Q1 IF=7.0)
18.Cai MC, Zhao X, Cao M, Ma P, Chen M, Wu J, Jia C, He C, Fu Y, Tan L, Xue X#, Yu Z, Zhuang G. T-cell exhaustion interrelates with immune cytolytic activity to shape the inflamed tumor microenvironment. J Patho.2020 Jun;251(2):147-159. (Q1 IF=5.979)