Anti-Amitriptyline monoclonal antibody, clone 304

Introduction: Meralgia paresthetica (MP) is a painful mononeuropathy of the lateral femoral cutaneous nerve. It is usually idiopathic and can be treated with drugs used for neuropathic pain such as pregabalin, gabapentin, and amitriptyline. Objectives: This study was done to study the effect of triamcinolone acetonide on drug refractory MP. Methods: This study was a retrospective case file review. Results: Eight patients were treated with local injections of triamcinolone. The patients were followed up for a period of 4 months to 54 months. There was significant symptomatic improvement with six patients having complete improvement and all patients reporting >50% improvement. Patients who had recurrence of symptoms on follow up received up to four injections as per their requirement and repeated injections also produced >50% symptom relief. Conclusion: Triamcinolone acetonide injected locally seems to be an effective and safe treatment for refractory MP. A randomized control trial has been planned to look for efficacy and safety.

Diverse contaminants of emerging concern (CECs) can be found in nowadays aquatic environment, possessing high potential to cause adverse ecological and human health effects. Due to their recalcitrance, conventional water treatment methods are shown to be inadequately effective. Thus, their upgrade by advanced oxidation processes, involving the generation of highly reactive species (HO center dot and SO4 center dot-), is highly demanded. In order to assess the susceptibility of CECs by HO% and SO4 center dot-, as well as to determine the corresponding reaction rate constants k(HO center dot) and kSO(4)(center dot-), the complex experimental studies has to be maintained. The alternative is the application of modeling approaches which correlate structural characteristics with activities/properties of interest, i.e. quantitative structure activity/property relationship (QSAR/QSPR). In this study k(HO center dot) and kSO4%-of fifteen selected CECs were determined by competitive kinetics, and afterward used to elucidate key structural features promoting their degradation. In that purpose, QSPR models were constructed using multiple linear regression (MLR) combined with genetic algorithm (GA) approach. The models were submitted to the internal and external validation (using additional set of 17 CECs). Selected 3-variable models predicting kHO% and kSO4%-were characterized with high accuracy and predictivity (R-2 = 0.876 and Q(2) = 0.847 and R-2 = 0.832 and Q(2) = 0.778, respectively). Although selected models at the first sight include descriptors derived through complicated calculation procedures, their weighting schemes indicate on their relevance and transparency toward established reaction theories and differences regarding radical type.