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Solomon, N.

Publications and source records attributed to Solomon, N..

2 recordsLinked to original sources

Sustained exposure to CAR-T cell secretome impairs human Hematopoietic Stem Cell function and is reversible by dual TNFα-IFNγ blockade

Prolonged cytopenias are a frequent complication of chimeric antigen receptor (CAR) T-cell therapies and are associated with increased infection risk and non-relapse mortality. Although inflammatory cytokines released during CAR-T cell activation have been implicated in immune effector cell-associated hematotoxicity (ICAHT), their direct effects on human hematopoietic stem and progenitor cells (HSPCs) function remains incompletely understood. Here, we established a reductionist model of CAR-T-associated hematotoxicity using conditioned media (CM) derived from activated CD19 CAR-T cells. Sustained exposure of human HSPCs to CAR-T-derived inflammatory secretome impaired HSPC expansion and reduced long-term repopulating capacity in xenotransplantation assays. In contrast, short-term exposure did not abrogate HSPC function, indicating that brief inflammatory signals can initiate durable reprogramming events, with functional consequences emerging during subsequent proliferative expansion. Mechanistically, CAR-T CM induced IFN{gamma}- and TNF-responsive transcriptional programs in HSPCs and promoted inflammatory myeloid skewing without evidence of apoptosis-dependent stem cell loss. Combined inhibition of IFN{gamma} and TNF restored HSPC expansion, normalized lineage output, reversed inflammatory transcriptional signatures, and rescued in vivo repopulating capacity without impairing CAR-T cytotoxic activity. These findings demonstrate that CAR-T-derived inflammatory signaling can directly impair human HSC function and identify dual TNF/ IFN{gamma} blockade as a potential strategy to mitigate CAR-T-associated hematotoxicity while preserving antitumor efficacy.

cell biology↗

Computational study of the furin cleavage domain of SARS-CoV-2: delta binds strongest of extant variants

We demonstrate that AlphaFold and AlphaFold Multimer, implemented within the ColabFold suite, can accurately predict the structures of the furin enzyme with known six residue inhibitory peptides. Noting the similarity of the peptide inhibitors to polybasic furin cleavage domain insertion region of the SARS-CoV-2, which begins at P681, we implement this approach to study the wild type furin cleavage domain for the virus and several mutants. We introduce mutations in silico for alpha, omicron, and delta variants, for several sequences which have been rarely observed, for sequences which have not yet been observed, for other coronaviruses (NL63, OC43, HUK1a, HUK1b, MERS, and 229E), and for the H5N1 flu. We show that interfacial hydrogen bonds between the furin cleavage domain and furin are a good measure of binding strength that correlate well with endpoint binding free energy estimates, and conclude that among all candidate viral sequences studied, delta is near the very top binding strength within statistical accuracy. However, the binding strength of several rare sequences match delta within statistical accuracy. We find that the furin S1 pocket is optimized for binding arginine as opposed to lysine. This residue, typically at sequence position five, contains the most hydrogen bonds to the furin, and hydrogen bond count for just this residue shows a strong positive correlation with the overall hydrogen bond count. We demonstrate that the root mean square backbone C-alpha fluctuation of the first residue in the furin cleavage domain has a strong negative correlation with the interfacial hydrogen bond count. We show by considering the variation with the number of basic residues that the maximum mean number of interfacial hydrogen bonds expected is 15.7 at 4 basic residues.

biophysics↗