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Lifen Ning

Researcher at Wuhan University of Science and Technology

Publications -  5
Citations -  2659

Lifen Ning is an academic researcher from Wuhan University of Science and Technology. The author has contributed to research in topics: Medicine & CD8. The author has an hindex of 2, co-authored 2 publications receiving 1526 citations.

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Journal ArticleDOI

Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19).

TL;DR: T cell counts are reduced significantly in COVID-19 patients, and the surviving T cells appear functionally exhausted, and non-ICU patients with total T cells counts lower than 800/μL may still require urgent intervention, even in the immediate absence of more severe symptoms.
Posted ContentDOI

Reduction and Functional Exhaustion of T Cells in Patients with Coronavirus Disease 2019 (COVID-19)

TL;DR: T cell counts are reduced significantly in COVID-19 patients, and the surviving T cells appear functionally exhausted, with patients in decline period showing reduced IL-6, IL-10 and TNF-α concentrations and restored T cell counts.
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Antifungal susceptibility profiles and drug resistance mechanisms of clinical Candida duobushaemulonii isolates from China

TL;DR: Wang et al. as discussed by the authors collected 11 strains of C. duobushaemulonii from China Hospital Invasive Fungal Surveillance Net (CHIF-NET) and identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF), VITEK 2 Yeast Identification Card (YST), and internal transcribed spacer (ITS) sequencing.
Journal ArticleDOI

First two fungemia cases caused by Candida haemulonii var. vulnera in China with emerged antifungal resistance

TL;DR: In this article , two strains of C. haemulonii var. vulnera were collected from the China Hospital Invasive Fungal Surveillance Net (CHIF-NET), and the identification capacity of three matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) and VITEK 2 YST ID biochemical methods were evaluated against ITS sequencing.
Journal ArticleDOI

A comparative study of gastric adenocarcinoma HER2 IHC phenotype and mass spectrometry-based quantification

TL;DR: Wang et al. as discussed by the authors presented a new HER2 protein detection method based on mass spectrometry selected reaction monitoring (MS-SRM) and validated the method using large-scale clinical validation.