Pengaruh Daun Kelor Untuk Pencegahan Infertilitas Akibat Trauma Fisik Testis

Journal of Medical Science, Journal Year: 2023, Volume and Issue: 4(1), P. 39 - 45

Published: April 18, 2023

Trauma testis menjadi penyebab tersering ketiga dari nyeri skrotum akut yang dapat mengakibatkan berbagai tingkat kerusakan testis, sehingga menyebabkan infertilitas. merupakan faktor risiko infertilitas terkait dengan adanya peningkatan radikal bebas, inflamasi berdampak pada penurunan kualitas sperma, dan Blood Testis Barrier (BTB). Lima 9 mengalami trauma atrofi. Salah satu tatalaksana dilakukan untuk mengatasi hal tersebut adalah pemberian antioksidan. Tanaman kelor (Moringa oleifera) mengandung beberapa senyawa antioksidan seperti golongan alkaloid, flavonoid, tanin, vitamin C, E, steroid. Diharapkan daun juga melindungi sel sperma oksidan bebas akibat secara tidak langsung salah pilihan terapi Penelitian ini penelitian eksperimental menggunakan rancangan the post-test only control group design. Setelah adaptasi selama 2 minggu, dibuat perlakuan torsio 30 ekor tikus rattus novergicus dibagi ke dalam 5 kelompok perlakuan, kemudian analisis sperma. Analisis data perbedaan antar uji of variance (ANNOVA) arah. Hasil menemukan konsentrasi spermatozoa (39.80 ± 17.88 x106 spermatozoa/ml) dosis 800 mg lebih tinggi dibandingkan 400 (27.94 14.76 spermatozoa/ml), 200 (25.32 19.33 spermatozoa/mL). Hal menunjukkan bahwa ekstrak tanaman berpengaruh atau mampu mempertahankan wistar dibanding mg. menyimpulkan memiliki potensi testis.

Biotechnological, Computational Analysis and Predictive Modeling of Phytochemicals in Moringa oleifera

Published: Dec. 8, 2023

Moringa oleifera, commonly known as the tree, has garnered considerable attention in recent years due to its abundant phytochemical composition with potential medicinal and nutritional benefits. This literature review presents a comprehensive exploration of interplay between computational analysis, predictive modeling, richness aiming elucidate applications medicine nutrition. The comprising flavonoids, phenolic compounds, vitamins, minerals, other bioactive constituents, forms foundation this investigation. Computational methods, including molecular docking, quantitative structure-activity relationship (QSAR) chemoinformatics, are scrutinized for their role characterizing predicting bioactivity oleifera phytochemicals. Predictive modeling techniques, encompassing machine learning algorithms regression evaluated utility forecasting bioactivity, toxicity, properties these Through synergy approaches, researchers gain insights into underscores significance relationships data-driven designing targeted interventions. It also highlights promising prospects drug development, functional foods, dietary supplements derived from oleifera. While progress been made, opportunities remain address research gaps, refine models, translate findings practical that promote human health provides foundational understanding transformative analysis harnessing wealth opening new avenues interdisciplinary pursuit advancements.

Language: Английский