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您的检索式：作者名="Sijung Yun"
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| 1 | Circulating immune cell landscape in patients who had mild ischaemic stroke显示文摘Introduction Patients who had a mild ischaemic stroke who present with subtle or resolving symptoms sometimes go undiagnosed,are excluded from treatment and in some cases clinically worsen.Circulating immune cells are potential biomarkers that can assist with diagnosis in ischaemic stroke.Understanding the transcriptomic changes of each cell population caused by ischaemic stroke is critical because they work closely in a complicated relationship.In this study,we investigated peripheral blood mononuclear cells(PBMCs)transcriptomics of patients who had a stroke using a single-cell RNA sequencing to understand peripheral immune response after mild stroke based on the gene expression in an unbiased way.Methods Transcriptomes of PBMCsfrom 10 patients who had an acute ischaemic stroke within 24 hours after stroke onset were compared with 9 race-matched/age-matched/gender-matched controls.Individual PBMCs were prepared with ddSeqTM(Illumina-BioRad)and sequenced on the Illumina NovaSeq 6000 platform.Results Notable population changes were observed in patients who had a stroke,especially in NK cells and CD14+monocytes.The number of NK cells was increased,which was further confirmed by flow cytometry.Functional analysis implied that the activity of NK cells also is enhanced in patients who had a stroke.CD14+monocytes were clustered into two groups;dendritic cell-related CD14+monocytes and NK cell-related CD14+monocytes.We found CD14+monocyte subclusters were dramatically reduced in patients who had a stroke.Discussion This is the first study demonstrating the increased number of NK cells and new monocyte subclusters of mild ischaemic stroke based on the transcriptomic analysis.Our findings provide the dynamics of circulating immune response that could assist diagnosis and potential therapeutic development of mild ischaemic stroke. | Young-Eun Cho Hyangkyu Lee Heekyong R.Bae Hyungsuk Kim Sijung Yun Rany Vorn Ann Cashion Mary Jo Rucker Mariam Afzal Lawrence Latour Jessica Gill | 2022 | Stroke & Vascular Neurology2022，7，4： | 1 |
| 2 | Are EPB41 and alpha-synuclein diagnostic biomarkers of sport-related concussion?Findings from the NCAA and Department of Defense CARE Consortium显示文摘Background:Current protein biomarkers are only moderately predictive at identifying individuals with mild traumatic brain injury or concussion.Therefore,more accurate diagnostic markers are needed for sport-related concussion.Methods:This was a multicenter,prospective,case-control study of athletes who provided blood samples and were diagnosed with a concussion or were a matched non-concussed control within the National Collegiate Athletic Association-Department of Defense Concussion Assessment,Research,and Education Consortium conducted between 2015 and 2019.The blood was collected within 48 h of injury to identify protein abnormalities at the acute and subacute timepoints.Athletes with concussion were divided into 6 h post-injury(0-6 h post-injury)and after 6 h postinjury(7-48 h post-injury)groups.We applied a highly multiplexed proteomic technique that used a DNA aptamers assay to target 1305proteins in plasma samples from athletes with and without sport-related concussion.Results:A total of 140 athletes with concussion(79.3%males;aged 18.71±1.10 years,mean±SD)and 21 non-concussed athletes(76.2%males;19.14±1.10 years)were included in this study.We identified 338 plasma proteins that significantly differed in abundance(319 upregulated and 19 downregulated)in concussed athletes compared to non-concussed athletes.The top 20 most differentially abundant proteins discriminated concussed athletes from non-concussed athletes with an area under the curve(AUC)of 0.954(95%confidence interval:0.922-0.986).Specifically,after 6 h of injury,the individual AUC of plasma erythrocyte membrane protein band 4.1(EPB41)and alpha-synuclein(SNCA)were 0.956 and 0.875,respectively.The combination of EPB41 and SNCA provided the best AUC(1.000),which suggests this combination of candidate plasma biomarkers is the best for diagnosing concussion in athletes after 6 h of injury.Conclusion:Our data suggest that proteomic profiling may provide novel diagnostic protein markers and that a combination of EPB41 and SNCA is the most predictive biomarker of concussion after 6 h of injury. | Rany Vorn Christina Devoto Timothy B.Meier Chen Lai Sijung Yun Steven P.Broglio Sara Mithani Thomas W.McAllister Christopher C.Giza Hyung-Suk Kim Daniel Huber Jaroslaw Harezlak Kenneth L.Cameron Gerald McGinty Jonathan Jackson Kevin M.Guskiewicz Jason P.Mihalik Alison Brooks Stefan Duma Steven Rowson Lindsay D.Nelson Paul Pasquina Michael A.McCrea Jessica M.Gill the CARE Consortium Investigators | 2023 | Journal of Sport and Health Science2023，12，3： | 0 |
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