Kinetics of Anti-SARS-CoV-2 IgG Antibodies in Hemodialysis Patients Six Months after Infection.

BACKGROUND: The humoral response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the hemodialysis population, including its dynamics over time, remains poorly understood. METHODS: To analyze initial and long-term humoral responses against SARS-CoV-2 in a hemodialysis population, we retrospectively evaluated findings from SARS-CoV-2 IgG serologic assays targeting the nucleocapsid antigen or spike antigen up to 6 months of follow-up in patients on hemodialysis in the Paris, France, region who had recovered from coronavirus disease 2019 (COVID-19). RESULTS: Our analysis included 83 patients (median age 65 years); 59 (71%) were male and 28 (34%) had presented with severe COVID-19. We observed positive initial SARS-CoV-2 IgG antinucleocapsid serology in 74 patients (89%) at a median of 67 days postdiagnosis. By multivariable analysis, immunocompromised status was the only factor significantly associated with lack of an IgG antinucleocapsid antibody response. Follow-up data were available at 6 months postdiagnosis for 60 of 74 patients (81%) with positive initial antinucleocapsid serology, and 15 (25%) of them had negative antinucleocapsid serology at month 6. In total, 14 of 15 sera were tested for antispike antibodies, 3 of 14 (21%) of which were also negative. Overall, 97% of antinucleocapsid-antibody-positive specimens were also antispike-antibody positive. Female sex, age >70 years, and nonsevere clinical presentation were independently associated with faster IgG antinucleocapsid titer decay in multivariable analysis. After adjustment for sex and age >70 years, nonsevere clinical presentation was the only factor associated with faster decay of IgG antispike antibodies. CONCLUSIONS: This study characterizes evolution of the SARS-CoV-2 antibody response in patients on hemodialysis and identifies factors that are associated with lack of seroconversion and with IgG titer decay.

Characterization of the dynamics of human cytomegalovirus resistance to antiviral drugs by ultra-deep sequencing.

Prophylactic or preemptive treatment strategies are required to prevent human cytomegalovirus (CMV) infections in transplant recipients. However, treatment failure occurs when CMV resistant-associated variants (RAVs) are selected. Although the diversity of CMV is lower than that of RNA viruses, CMV appears to show some genetic instability, with possible minor emerging resistance that may be undetectable by Sanger sequencing. We aimed to examine CMV-resistance mutations over time by ultra-deep sequencing (UDS) and Sanger sequencing in a kidney transplant recipient experiencing CMV infection. This patient showed a transient response to three different antiviral drugs (valganciclovir, foscarnet, and maribavir) and four episodes of CMV resistance over two years. The full-length UL97 (2.3kpb) and partial UL54 (2.4kpb) CMV genes were studied by UDS and Sanger sequencing and linkage mutations calculated to determine RAVs. We detected four major and five minor resistance mutations. Minor resistant variants (2-20%) were detected by UDS, whereas major resistance substitutions (>20%) were identified by both UDS and Sanger method. We detected cross-resistance to three drugs, despite high CMV loads, suggesting that the fitness of the viral mutants was not impaired. In conclusion, CMV showed complex dynamic of resistance under antiviral drug pressure, as described for highly variable viruses. The emergence of successive RAVs constitutes a clinically challenging complication and contributes to the difficulty of therapeutic management of patients.

Multiplex and accurate quantification of acute kidney injury biomarker candidates in urine using Protein Standard Absolute Quantification (PSAQ) and targeted proteomics.

There is a need for multiplex, specific and quantitative methods to speed-up the development of acute kidney injury biomarkers and allow a more specific diagnosis. Targeted proteomic analysis combined with stable isotope dilution has recently emerged as a powerful option for the parallelized evaluation of candidate biomarkers. This article presents the development of a targeted proteomic assay to quantify 4 acute kidney injury biomarker candidates in urine samples. The proteins included in the assessed panel consisted of myo-inositol oxygenase (MIOX), phosphoenolpyruvate carboxykinase 1 (PCK1), neutrophil gelatinase-associated lipocalin (NGAL) and liver fatty acid-binding protein (L-FABP). The proteomic assay combined an antibody-free sample preparation and a liquid chromatography-selected reaction monitoring (LC-SRM) analysis pipeline. For accurate quantification of the selected candidates, we used PSAQ (Protein Standard Absolute Quantification) standards which are isotopically labeled versions of the target proteins. When added directly to the biological samples, these standards improve detection specificity and quantification accuracy. The multiplexed assay developed for the 4 biomarker candidates showed excellent analytical performance, in line with the recommendations of health authorities. Tests on urine from two small patient cohorts and a group of healthy donors confirmed the relevance of NGAL and L-FABP as biomarkers for AKI diagnosis. The assay is readily adaptable to other biomarker candidates and should be very useful for the simultaneous and accurate quantification of multiple biomarkers.