Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1186/s13073-021-00866-2

http://scihub22266oqcxt.onion/10.1186/s13073-021-00866-2
suck pdf from google scholar
33883027!8059115!33883027
unlimited free pdf from europmc33883027    free
PDF from PMC    free
html from PMC    free

suck abstract from ncbi


Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid33883027      Genome+Med 2021 ; 13 (1): 66
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium #MMPMID33883027
  • Kasela S; Ortega VE; Martorella M; Garudadri S; Nguyen J; Ampleford E; Pasanen A; Nerella S; Buschur KL; Barjaktarevic IZ; Barr RG; Bleecker ER; Bowler RP; Comellas AP; Cooper CB; Couper DJ; Criner GJ; Curtis JL; Han MK; Hansel NN; Hoffman EA; Kaner RJ; Krishnan JA; Martinez FJ; McDonald MN; Meyers DA; Paine R 3rd; Peters SP; Castro M; Denlinger LC; Erzurum SC; Fahy JV; Israel E; Jarjour NN; Levy BD; Li X; Moore WC; Wenzel SE; Zein J; Langelier C; Woodruff PG; Lappalainen T; Christenson SA
  • Genome Med 2021[Apr]; 13 (1): 66 PMID33883027show ga
  • BACKGROUND: The large airway epithelial barrier provides one of the first lines of defense against respiratory viruses, including SARS-CoV-2 that causes COVID-19. Substantial inter-individual variability in individual disease courses is hypothesized to be partially mediated by the differential regulation of the genes that interact with the SARS-CoV-2 virus or are involved in the subsequent host response. Here, we comprehensively investigated non-genetic and genetic factors influencing COVID-19-relevant bronchial epithelial gene expression. METHODS: We analyzed RNA-sequencing data from bronchial epithelial brushings obtained from uninfected individuals. We related ACE2 gene expression to host and environmental factors in the SPIROMICS cohort of smokers with and without chronic obstructive pulmonary disease (COPD) and replicated these associations in two asthma cohorts, SARP and MAST. To identify airway biology beyond ACE2 binding that may contribute to increased susceptibility, we used gene set enrichment analyses to determine if gene expression changes indicative of a suppressed airway immune response observed early in SARS-CoV-2 infection are also observed in association with host factors. To identify host genetic variants affecting COVID-19 susceptibility in SPIROMICS, we performed expression quantitative trait (eQTL) mapping and investigated the phenotypic associations of the eQTL variants. RESULTS: We found that ACE2 expression was higher in relation to active smoking, obesity, and hypertension that are known risk factors of COVID-19 severity, while an association with interferon-related inflammation was driven by the truncated, non-binding ACE2 isoform. We discovered that expression patterns of a suppressed airway immune response to early SARS-CoV-2 infection, compared to other viruses, are similar to patterns associated with obesity, hypertension, and cardiovascular disease, which may thus contribute to a COVID-19-susceptible airway environment. eQTL mapping identified regulatory variants for genes implicated in COVID-19, some of which had pheWAS evidence for their potential role in respiratory infections. CONCLUSIONS: These data provide evidence that clinically relevant variation in the expression of COVID-19-related genes is associated with host factors, environmental exposures, and likely host genetic variation.
  • |*Bronchi[MESH]
  • |*Respiratory Mucosa[MESH]
  • |*SARS-CoV-2[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Angiotensin-Converting Enzyme 2/genetics[MESH]
  • |Asthma/genetics[MESH]
  • |COVID-19/*genetics/immunology[MESH]
  • |Cardiovascular Diseases/genetics/immunology[MESH]
  • |Gene Expression[MESH]
  • |Genetic Variation[MESH]
  • |Humans[MESH]
  • |Middle Aged[MESH]
  • |Obesity/genetics/immunology[MESH]
  • |Pulmonary Disease, Chronic Obstructive/genetics[MESH]
  • |Quantitative Trait Loci[MESH]
  • |Risk Factors[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box