Reverse-hybridization assay for rapid detection of common CYP21A2 mutations in dried blood spots from newborns with elevated 17-OH progesterone

2012 ◽  
Vol 414 ◽  
pp. 211-214 ◽  
Author(s):  
Stefan Németh ◽  
Stefan Riedl ◽  
Gernot Kriegshäuser ◽  
Sabina Baumgartner-Parzer ◽  
Paola Concolino ◽  
...  
1996 ◽  
Vol 52 (4) ◽  
pp. 308-309
Author(s):  
B. Schweiger ◽  
C. Kücherer ◽  
C. Fleischer ◽  
H. v. Spreckelsen ◽  
P. Zablocki-Kaiser ◽  
...  

2011 ◽  
Vol 44 (06) ◽  
Author(s):  
L Mercolini ◽  
G Fulgenzi ◽  
M Melis ◽  
G Boncompagni ◽  
LJ Albers ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Niclas Roxhed ◽  
Annika Bendes ◽  
Matilda Dale ◽  
Cecilia Mattsson ◽  
Leo Hanke ◽  
...  

AbstractSerological testing is essential to curb the consequences of the COVID-19 pandemic. However, most assays are still limited to single analytes and samples collected within healthcare. Thus, we establish a multianalyte and multiplexed approach to reliably profile IgG and IgM levels against several versions of SARS-CoV-2 proteins (S, RBD, N) in home-sampled dried blood spots (DBS). We analyse DBS collected during spring of 2020 from 878 random and undiagnosed individuals from the population in Stockholm, Sweden, and use classification approaches to estimate an accumulated seroprevalence of 12.5% (95% CI: 10.3%–14.7%). This includes 5.4% of the samples being IgG+IgM+ against several SARS-CoV-2 proteins, as well as 2.1% being IgG−IgM+ and 5.0% being IgG+IgM− for the virus’ S protein. Subjects classified as IgG+ for several SARS-CoV-2 proteins report influenza-like symptoms more frequently than those being IgG+ for only the S protein (OR = 6.1; p < 0.001). Among all seropositive cases, 30% are asymptomatic. Our strategy enables an accurate individual-level and multiplexed assessment of antibodies in home-sampled blood, assisting our understanding about the undiagnosed seroprevalence and diversity of the immune response against the coronavirus.


Author(s):  
Casey Ward ◽  
Shriram Nallamshetty ◽  
Jeramie D. Watrous ◽  
Eowyn Acres ◽  
Tao Long ◽  
...  

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