Zhen Huang

Dr. Zhen Huang


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 January 2021 in Science Advances
Verified
Journal Article
Open access
PDF file
BNBo Ning
Bo Ning
TYTao Yu
Tao Yu
SZShengwei Zhang
Shengwei Zhang
ZHZhen Huang
Zhen Huang
DTDi Tian
Di Tian
THTony Hu
Tony Hu
Point-of-care COVID-19 assays that are more sensitive than the current RT-PCR (reverse transcription polymerase chain reaction) gold standard assay are needed to improve disease control efforts. We describe the development of a portable, ultrasensitive saliva-based COVID-19 assay with a 15-min sample-to-answer time that does not require RNA isolation or laboratory equipment. This assay uses CRISPR-Cas12a activity to enhance viral amplicon signal, which is stimulated by the laser diode of a smartphone-based fluorescence microscope device. This device robustly quantified viral load over a broad linear range (1 to 105 copies/μl) and exhibited a limit of detection (0.38 copies/μl) below that of the RT-PCR reference assay. CRISPR-read SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) RNA levels were similar in patient saliva and nasal swabs, and viral loads measured by RT-PCR and the smartphone-read CRISPR assay demonstrated good correlation, supporting the potential use of this portable assay for saliva-based point-of-care COVID-19 diagnosis.

1 April 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
IRIbolya Rutkai
Ibolya Rutkai
MMMeredith G. Mayer
Meredith G. Mayer
LHLinh M. Hellmers
Linh M. Hellmers
BNBo Ning
Bo Ning
ZHZhen Huang
Zhen Huang
TFTracy Fischer
Tracy Fischer
Neurological manifestations are a significant complication of coronavirus disease (COVID-19), but underlying mechanisms aren’t well understood. The development of animal models that recapitulate the neuropathological findings of autopsied brain tissue from patients who died from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are critical for elucidating the neuropathogenesis of infection and disease. Here, we show neuroinflammation, microhemorrhages, brain hypoxia, and neuropathology that is consistent with hypoxic-ischemic injury in SARS-CoV-2 infected non-human primates (NHPs), including evidence of neuron degeneration and apoptosis. Importantly, this is seen among infected animals that do not develop severe respiratory disease, which may provide insight into neurological symptoms associated with “long COVID”. Sparse virus is detected in brain endothelial cells but does not associate with the severity of central nervous system (CNS) injury. We anticipate our findings will advance our current understanding of the neuropathogenesis of SARS-CoV-2 infection and demonstrate SARS-CoV-2 infected NHPs are a highly relevant animal model for investigating COVID-19 neuropathogenesis among human subjects.

22 July 2021 in Nature Nanotechnology
Verified
Journal Article
Open access
PDF file
BNBo Ning
Bo Ning
ZHZhen Huang
Zhen Huang
BYBrady M. Youngquist
Brady M. Youngquist
JSJohn W. Scott
John W. Scott
ANAlex Niu
Alex Niu
THTony Hu
Tony Hu
Plasma SARS-CoV-2 RNA may represent a viable diagnostic alternative to respiratory RNA levels, which rapidly decline after infection. Quantitative PCR with reverse transcription (RT–qPCR) reference assays exhibit poor performance with plasma, probably reflecting the dilution and degradation of viral RNA released into the circulation, but these issues could be addressed by analysing viral RNA packaged into extracellular vesicles. Here we describe an assay approach in which extracellular vesicles directly captured from plasma are fused with reagent-loaded liposomes to sensitively amplify and detect a SARS-CoV-2 gene target. This approach accurately identified patients with COVID-19, including challenging cases missed by RT–qPCR. SARS-CoV-2-positive extracellular vesicles were detected at day 1 post-infection, and plateaued from day 6 to the day 28 endpoint in a non-human primate model, while signal durations for 20–60 days were observed in young children. This nanotechnology approach uses a non-infectious sample and extends virus detection windows, offering a tool to support COVID-19 diagnosis in patients without SARS-CoV-2 RNA detectable in the respiratory tract.

1 March 2019 in Food Chemistry
Verified
Journal Article
Closed access
ZHZhen Huang
Zhen Huang
JPJuan Peng
Juan Peng
JHJiaojiao Han
Jiaojiao Han
GZGanggang Zhang
Ganggang Zhang
YHYouju Huang
Youju Huang
WLWeiHua Lai
WeiHua Lai

19 August 2022 in Nature Biomedical Engineering
Verified
Journal Article
Open access
PDF file
WZWenshu Zheng
Wenshu Zheng
SLSylvia M. LaCourse
Sylvia M. LaCourse
BSBofan Song
Bofan Song
DSDhiraj Kumar Singh
Dhiraj Kumar Singh
MKMayank Khanna
Mayank Khanna
THTony Hu
Tony Hu
Sensitive and specific blood-based assays for the detection of pulmonary and extrapulmonary tuberculosis would reduce mortality associated with missed diagnoses, particularly in children. Here we report a nanoparticle-enhanced immunoassay read by dark-field microscopy that detects twoMycobacterium tuberculosisvirulence factors (the glycolipid lipoarabinomannan and its carrier protein) on the surface of circulating extracellular vesicles. In a cohort study of 147 hospitalized and severely immunosuppressed children living with HIV, the assay detected 58 of the 78 (74%) cases of paediatric tuberculosis, 48 of the 66 (73%) cases that were missed by microbiological assays, and 8 out of 10 (80%) cases undiagnosed during the study. It also distinguished tuberculosis from latent-tuberculosis infections in non-human primates. We adapted the assay to make it portable and operable by a smartphone. With further development, the assay may facilitate the detection of tuberculosis at the point of care, particularly in resource-limited settings.

22 February 2019 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
ZHZhen Huang
Zhen Huang
ZXZhijuan Xiong
Zhijuan Xiong
YCYuan Chen
Yuan Chen
SHSong Hu
Song Hu
WLWeihua Lai
Weihua Lai