Anton W. Langerak

The severity of COVID-19 is linked to an imbalanced immune response. The dysregulated metabolism of small molecules and bioactive lipids has also been associated with disease severity. To promote understanding of the disease biochemistry and provide targets for intervention, we applied a range of LC-MS platforms to analyze over 100 plasma samples from patients with varying COVID-19 severity and with detailed clinical information on inflammatory responses (>30 immune markers). This is the third publication in a series, and it reports the results of comprehensive lipidome profiling using targeted LC-MS/MS. We identified 1076 lipid features across 25 subclasses, including glycerophospholipids, sterols, glycerolipids, and sphingolipids, among which 531 lipid features were dramatically changed in the plasma of intensive care unit (ICU) patients compared to patients in the ward. Patients in the ICU showed 1.3–57-fold increases in ceramides, (lyso-)glycerophospholipids, diglycerides, triglycerides, and plasmagen phosphoethanolamines, and 1.3–2-fold lower levels of a cyclic lysophosphatidic acid, sphingosine-1-phosphates, sphingomyelins, arachidonic acid-containing phospholipids, lactosylceramide, and cholesterol esters compared to patients in the ward. Specifically, phosphatidylinositols (PIs) showed strong fatty acid saturation-dependent behavior, with saturated fatty acid (SFA)- and monosaturated fatty acid (MUFA)-derived PI decreasing and polystaturated (PUFA)-derived PI increasing. We also found ~4000 significant Spearman correlations between lipids and multiple clinical markers of immune response with |R| ≥ 0.35 and FDR corrected Q < 0.05. Except for lysophosphatidic acid, lysophospholipids were positively associated with the CD4 fraction of T cells, and the cytokines IL-8 and IL-18. In contrast, sphingosine-1-phosphates were negatively correlated with innate immune markers such as CRP and IL-6. Further indications of metabolic changes in moderate COVID-19 disease were demonstrated in recovering ward patients compared to those at the start of hospitalization, where 99 lipid species were altered (6 increased by 30–62%; 93 decreased by 1.3–2.8-fold). Overall, these findings support and expand on early reports that dysregulated lipid metabolism is involved in COVID-19.

We compared minimal/measurable residual disease (MRD) levels evaluated by routinely used real-time quantitative polymerase chain reaction (qPCR) patient-specific assays and by next-generation sequencing (NGS) approach in 780 immunoglobulin (IG) and T-cell receptor (TR) markers in 432 children with B-cell precursor acute lymphoblastic leukemia treated on the AIEOP-BFM ALL 2009 protocol. Our aim was to compare the MRD-based risk stratification at the end of induction. The results were concordant in 639 of 780 (81.9%) of these markers; 37 of 780 (4.7%) markers were detected only by NGS. In 104 of 780 (13.3%) markers positive only by qPCR, a large fraction (23/104; 22.1%) was detected also by NGS, however, owing to the presence of identical IG/TR rearrangements in unrelated samples, we classified those as nonspecific/false-positive. Risk group stratification based on the MRD results by qPCR and NGS at the end of induction was concordant in 76% of the patients; 19% of the patients would be assigned to a lower risk group by NGS, largely owing to the elimination of false-positive qPCR results, and 5% of patients would be assigned to a higher risk group by NGS. NGS MRD is highly concordant with qPCR while providing more specific results and can be an alternative in the front line of MRD evaluation in forthcoming MRD-based protocols.