RESUMO
Tetranitromethane was used to selectively modify tyrosine residues of a humanized anti-cocaine mAb (h2E2), under development for the treatment of cocaine use disorders. The effect of mild tyrosine nitration on the affinity of cocaine and two high affinity cocaine metabolites, cocaethylene and benzoylecgonine, was assessed using differential scanning fluorimetry to measure ligand affinities via ligand-induced thermal stabilization of the mAb antigen binding region. Nitrated tyrosine residues were identified by mass spectral analysis of thermolysin peptides. One objective was to understand the binding affinity differences observed for these three ligands, which are not explained by the published crystal structure of the h2E2 mAb Fab fragment co-crystalized with benzoylecgonine, since the carboxylic acid of benzoylecgonine that is esterified to form cocaine and cocaethylene is not in contact with the mAb. Importantly, the binding affinity of the cocaine metabolite benzoylecgonine was not decreased by mild nitration, whereas the binding affinities of cocaine and cocaethylene were decreased about two-fold. These ligands differ only in the substituent attached to the carboxylate moiety of the compound, with benzoylecgonine having an unesterified carboxylate, and cocaine and cocaethylene having methyl and ethyl esters, respectively, at this position. The results are consistent with nitration of light chain tyrosine residue 34, resulting in a less favorable interaction with cocaine and cocaethylene carboxylate esters, while not affecting binding of benzoylecgonine. Thus, light chain Tyr34 residue may have molecular interactions with cocaine and cocaethylene not present for benzoylecgonine, leading to the observed affinity differences for these three ligands.
RESUMO
BACKGROUND: Stimulus response curves (SR curves), measured using transcranial magnetic stimulation (TMS) induced motor evoked potentials (MEP), yield important information regarding corticomotor connectivity. Limited understanding of SR curve analyses techniques for leg muscles after stroke may limit the utility of TMS data for walking recovery. OBJECTIVE: To compare linear and non-linear curve fitting for MEP responses from the non-paretic and paretic tibialis anterior (TA) muscles. METHODS: Accuracy of fit was measured using coefficient of determination (R2). Similarities of the fit were compared using slopes and area under the curve (AUC). RESULTS: The non-linear function demonstrated higher R2 and slopes. The AUC was not significantly different between the two analyses approaches. The non-linear non-paretic SR slopes and paretic AUC had significant associations with walking speed. CONCLUSION: Our results highlight the differences between non-linear and linear approaches to best fit the SR curves from bilateral TA muscles in stroke survivors. Although the linear function can appropriately fit the SR curve of the paretic and non-paretic TA, the non-linear function estimated a higher slope. We found the AUC to be a more robust measure that was not affected by the type of curve-fitting approach and only the AUC of the paretic TA showed significant association with walking speeds. A better understanding of SR curve fitting approaches for the TA muscles in individuals with chronic stroke allows for their optimal use in interpretation of TMS data and literature.