scholarly journals Next-Generation Serology by Mass Spectrometry: Readout of the SARS-CoV-2 Antibody Repertoire

Author(s):  
Rafael D. Melani ◽  
Benjamin J. Des Soye ◽  
Jared O. Kafader ◽  
Eleonora Forte ◽  
Michael Hollas ◽  
...  
2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 8009-8009
Author(s):  
Angela Dispenzieri ◽  
Amrita Y. Krishnan ◽  
Bonnie Arendt ◽  
Surendra Dasari ◽  
Yvonne Adeduni Efebera ◽  
...  

8009 Background: Measuring response among patients with multiple myeloma is essential for the care of patients. Deeper responses have been associated with better progression free survival (PFS) and overall survival (OS). Serum (SIFE) and urine immunofixation are the currently used markers for biochemical documentation of CR after which marrow is tested for plasma cell clearance. Next generation flow cytometry and sequencing are used to document the presence of minimal residual disease (MRD). Mass spectrometry of blood by MALDI (Mass-Fix) is a new simple, inexpensive, sensitive, and specific means of detecting monoclonal immunoglobulins. To better test the hypothesis that Mass-Fix is superior to existing methodologies to predict for survival outcomes—especially SIFE-- samples from the STAMINA trial (NCT01109004), a trial comparing 3 transplant approaches among patients who have already received induction, were employed. Methods: Five-hundred and seventy-five patients were included. Samples from enrollment post-induction (post-I) and 1-year post enrollment (1YR) were tested when available. Four response parameters were assessed univariately: Mass-Fix, SIFE, complete response, and MRD by next generation flow cytometry. Mass spectrometry spectra were evaluated in a blinded fashion. Complete response was according to the 2006 International Myeloma Working Group criteria. Multivariate Cox proportional hazard models using stepwise regression were developed to explore the independent effect of the different response parameters on PFS and OS and interactions with other risk factors. Results: Of the 4 response measures, only MRD and Mass-Fix predicted for PFS and OS at multiple testing points on multivariate analyses (Table). Of the 4 post-I measurements, only MRD predicted for PFS; however, Mass-Fix was the only post-I measurement to predict for OS. Of all the 1-year measures, both 1YR Mass-Fix and 1YR MRD positivity predicted for inferior PFS and OS. In models including MRD and Mass-Fix, SIFE and CR were not prognostic for PFS or OS. Conclusions: Mass-Fix is a powerful means to track monoclonal proteins. The full utility of Mass-Fix was not exploited given the absence of a diagnostic sample and the fact that only serum (and not urine) was tested. Despite these limitations, it performed well at pre-induction and at 1 year. Mass-Fix provides a convenient and non-invasive means of predicting for myeloma outcomes. Clinical trial information: NCT01109004. [Table: see text]


2018 ◽  
Vol 32 (6) ◽  
pp. 429-444 ◽  
Author(s):  
Claire L. Hoban ◽  
Ian F. Musgrave ◽  
Megan L. Coghlan ◽  
Matthew W. P. Power ◽  
Roger W. Byard ◽  
...  

2019 ◽  
Vol 498 ◽  
pp. 38-46 ◽  
Author(s):  
Mia Yang Ang ◽  
Teck Yew Low ◽  
Pey Yee Lee ◽  
Wan Fahmi Wan Mohamad Nazarie ◽  
Victor Guryev ◽  
...  

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e23237-e23237
Author(s):  
Pedram Razavi ◽  
Fabiola Cecchi ◽  
Dara S. Ross ◽  
Sumit Middha ◽  
Ahmet Zehir ◽  
...  

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0149393 ◽  
Author(s):  
Kendrick B. Turner ◽  
Jennifer Naciri ◽  
Jinny L. Liu ◽  
George P. Anderson ◽  
Ellen R. Goldman ◽  
...  

Biology ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 89 ◽  
Author(s):  
Carolina Sabença ◽  
Telma de Sousa ◽  
Soraia Oliveira ◽  
Didier Viala ◽  
Laetitia Théron ◽  
...  

Vancomycin-resistant enterococci (VRE), due to their intrinsic resistance to various commonly used antibiotics and their malleable genome, make the treatment of infections caused by these bacteria less effective. The aims of this work were to characterize isolates of Enterococcus spp. that originated from processed meat, through phenotypic and genotypic techniques, as well as to detect putative antibiotic resistance biomarkers. The 19 VRE identified had high resistance to teicoplanin (89%), tetracycline (94%), and erythromycin (84%) and a low resistance to kanamycin (11%), gentamicin (11%), and streptomycin (5%). Based on a Next-Generation Sequencing NGS technique, most isolates were vanA-positive. The most prevalent resistance genes detected were erm(B) and aac(6’)-Ii, conferring resistance to the classes of macrolides and aminoglycosides, respectively. MALDI-TOF mass spectrometry (MS) analysis detected an exclusive peak of the Enterococcus genus at m/z (mass-to-charge-ratio) 4428 ± 3, and a peak at m/z 6048 ± 1 allowed us to distinguish Enterococcus faecium from the other species. Several statistically significant protein masses associated with resistance were detected, such as peaks at m/z 6358.27 and m/z 13237.3 in ciprofloxacin resistance isolates. These results reinforce the relevance of the combined and complementary NGS and MALDI-TOF MS techniques for bacterial characterization.


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