scholarly journals INVESTIGATION OF PLASMA CELL‐FREE DNA (CFDNA) AS A NOVEL BIOMARKER OF INFLAMMATION AND DISEASE SEVERITY IN EQUINE COLIC PATIENTS

2021 ◽  
Vol 33 (S12) ◽  
pp. 22-23
2020 ◽  
Author(s):  
Xinping Chen ◽  
Yu Lin ◽  
Tao Wu ◽  
Jinjin Xu ◽  
Zhichao Ma ◽  
...  

AbstractClinical symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. Detection of individuals at high risk for critical condition is crucial for control of the disease. Herein, for the first time, we profiled and analyzed plasma cell-free DNA (cfDNA) of mild and severe COVID-19 patients. We found that in comparison between mild and severe COVID-19 patients, Interleukin-37 signaling was one of the most relevant pathways; top significantly altered genes included POTEH, FAM27C, SPATA48, which were mostly expressed in prostate and testis; adrenal glands, small intestines and liver were tissues presenting most differentially expressed genes. Our data thus revealed potential tissue involvement, provided insights into mechanism on COVID-19 progression, and highlighted utility of cfDNA as a noninvasive biomarker for disease severity inspections.One Sentence SummaryCfDNA analysis in COVID-19 patients reveals severity-related tissue damage.


Viruses ◽  
2014 ◽  
Vol 6 (7) ◽  
pp. 2723-2734 ◽  
Author(s):  
Jing Yi ◽  
Yun Zhang ◽  
Yusi Zhang ◽  
Ying Ma ◽  
Chunmei Zhang ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Xinping Chen ◽  
Tao Wu ◽  
Lingguo Li ◽  
Yu Lin ◽  
Zhichao Ma ◽  
...  

Symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. A deep understanding of the variation of biological characteristics in severe COVID-19 patients is crucial for the detection of individuals at high risk of critical condition for the clinical management of the disease. Herein, by profiling the gene expression spectrum deduced from DNA coverage in regions surrounding transcriptional start site in plasma cell-free DNA (cfDNA) of COVID-19 patients, we deciphered the altered biological processes in the severe cases and demonstrated the feasibility of cfDNA in measuring the COVID-19 progression. The up- and downregulated genes in the plasma of severe patient were found to be closely related to the biological processes and functions affected by COVID-19 progression. More importantly, with the analysis of transcriptome data of blood cells and lung cells from control group and cases with severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection, we revealed that the upregulated genes were predominantly involved in the viral and antiviral activity in blood cells, reflecting the intense viral replication and the active reaction of immune system in the severe patients. Pathway analysis of downregulated genes in plasma DNA and lung cells also demonstrated the diminished adenosine triphosphate synthesis function in lung cells, which was evidenced to correlate with the severe COVID-19 symptoms, such as a cytokine storm and acute respiratory distress. Overall, this study revealed tissue involvement, provided insights into the mechanism of COVID-19 progression, and highlighted the utility of cfDNA as a noninvasive biomarker for disease severity inspections.


2019 ◽  
Vol 73 (9) ◽  
pp. 1897
Author(s):  
Samuel B. Brusca ◽  
Jason M. Elinoff ◽  
Moon K. Jang ◽  
Cumhur Y. Demirkale ◽  
Hannah A. Valantine ◽  
...  

Lung Cancer ◽  
2015 ◽  
Vol 90 (1) ◽  
pp. 78-84 ◽  
Author(s):  
Shu Xia ◽  
Chiang-Ching Huang ◽  
Min Le ◽  
Rachel Dittmar ◽  
Meijun Du ◽  
...  

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii430-iii430
Author(s):  
Ross Mangum ◽  
Jacquelyn Reuther ◽  
Koel Sen Baksi ◽  
Ryan C Zabriskie ◽  
Ilavarasi Gandhi ◽  
...  

Abstract BACKGROUND The role of plasma cell-free DNA (cfDNA) as a cancer biomarker for tracking treatment response and detecting early relapse has been well described for solid tumors outside the central nervous system (CNS). However, the presence of a blood-brain barrier complicates the application of plasma cfDNA analysis for patients with CNS malignancies. METHODS cfDNA was extracted from plasma of pediatric patients with CNS tumors utilizing a QIAmp® MinElute® kit and quantitated with Qubit 2.0 Fluorometer. Extensive genomic testing, including targeted DNA and RNA solid tumor panels, exome and transcriptome sequencing, as well as copy number array, was performed on matched tumor samples as part of the Texas KidsCanSeq study. An Archer® Reveal ctDNA28 NGS kit was then used for assaying the sensitivity of detecting tumor-specific mutations in the plasma of these patients. RESULTS A median of 10.7ng cfDNA/mL plasma (Interquartile range: 6.4 – 15.3) was extracted from 78 patients at time of study enrollment. Longitudinal samples from 24 patients exhibited a median yield of 7.7ng cfDNA/mL plasma (IQR: 5.9 – 9.1). An initial cohort of 6 patients was identified with 7 somatic variants covered by the Archer® Reveal kit. Four of seven mutations identified in matched tumor specimens were detected in patient plasma at variant allele frequencies ranging from 0.2–1%. CONCLUSIONS While challenging, detection of cfDNA in the plasma of pediatric patients with CNS tumors is possible and is being explored in a larger patient cohort along with pilot studies investigating cerebrospinal fluid as an additional source for tumor-specific cfDNA.


PLoS ONE ◽  
2020 ◽  
Vol 15 (4) ◽  
pp. e0232365 ◽  
Author(s):  
Michihito Tagawa ◽  
Naomi Tambo ◽  
Masaki Maezawa ◽  
Mizuki Tomihari ◽  
Ken-ichi Watanabe ◽  
...  

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