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1.
Article | IMSEAR | ID: sea-217663

ABSTRACT

Background: Second generation antihistamines are first line therapy for chronic spontaneous urticaria (CSU). Sedation has been always a concern as a side effect of antihistamine for both patients and treating dermatologist. It is always better to prefer non-sedative antihistamine for CSU. Bepotastine is such promising non-sedative agent. Aim and Objectives: The objective of the study was to compare the efficacy and safety of bepotastine and levocetirizine in patients of CSU. Materials and Methods: This is a double arm, open label, randomized, and controlled study. Out of 99 patients, 50 patients belonged to Group A while 49 belonged to Group B. Subjects in Group A received bepotastine 10 mg twice daily while subjects in Group B received levocetirizine 5 mg once daily for 8 weeks. Patients were evaluated at baseline, day 14, day 28, and day 56 using Urticaria Activity Score (UAS) and Urticaria Control Test (UCT) for efficacy; and visual analog scale (VAS) for safety, that is, sedation. Results: The fall in mean UAS scores was statistically significant at day 14, day 28, and day 56 for both Groups A and B (P < 0.05) on intragroup comparison. While comparing the overall improvement between the two groups, there was no significant difference in UAS and UCT score at day 14, day 28, and day 56 between Group A and Group B, respectively (P > 0.05). At day 56, there was significant difference in mean VAS of Group A and B. Only one patient in Group B developed headache. Conclusion: Thus, both levocetirizine and bepotastine are equally effective for the treatment of CSU. Bepotastine has less sedative potential than levocetirizine.

2.
Indian J Pathol Microbiol ; 2022 Mar; 65(1): 123-128
Article | IMSEAR | ID: sea-223182

ABSTRACT

Background: Adenocarcinoma is a more common type of Non-small cell lung cancer (NSCLC). Lung cancer showed a statistically significant increment in the Kamrup Urban district of Assam, Tripura, Sikkim, and Manipur of India. The goal of our pilot study is to identify non-invasive microbial biomarkers to detect lung adenocarcinoma (LAC). Material and Methods: DNA extraction from saliva samples of five LAC patients and five healthy controls was performed by Qiagen DNeasy blood and tissue kit using Lysozyme (3mg/ml) treatment. 16S rRNA genes of distinct regions (V3-V4) were amplified from saliva DNA by PCR. Paired-end sequencing targeting the V3-V4 region of the 16S rRNA gene has been performed on the Illumina MiSeq platform. Raw sequences were analyzed using the QIIME(Quantitative Insights Into Microbial Ecology) software package. Results: Our preliminary results showed that Rothia mucilaginosa, Veillonella dispar, Prevotella melaninogenica, Prevotella pallens, Prevotella copri, Haemophilus parainfluenzae, Neisseria bacilliformis and Aggregatibacter segnis were significantly elevated in saliva of LAC which may serve as potential non-invasive biomarkers for LAC detection. Functional prediction analysis showed that bacterial genes involved in glycosyltransferase, peptidases, amino sugar, and nucleotide sugar metabolism, starch and sucrose metabolism were significantly enriched in LAC. Conclusion: These salivary bacteria may contribute to the development of LAC by increasing expression of glycosyltransferase and peptidases. However to understand their role in pathobiology, studies are required to perform in large cohort.

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