This article presents two types of phytochemical data obtained from (L.) Merr. roots, a medicinal plant belonging to the Simaroubaceae family. The high-resolution LC-MS dataset comprised the chemical profile of dichloromethane extract, which was utilised to annotate 35 chemical constituents. For annotations, the measured spectral data were compared with the spectral data generated from 920 molecular structures previously reported in Simaroubaceae. Indole alkaloids, quassinoids, aliphatics and lignan were the chemical groups identified in the root extract. The second dataset provides NMR spectra (H, C, COSY, HMQC and HMBC) for the six indole alkaloids previously detected in LC-MS analysis and isolated through centrifugal partition chromatography. The chemical structures of all compounds were confirmed based on NMR data as bruceolline J (compound ), canthin-6-one--oxide (compound ), bruceolline E (compound ), 5-methoxycanthin-6-one (compound ), canthin-6-one (compound ), and 1‑hydroxy-11-methoxycanthin-6-one (compound ). This phytochemical data was generated to support an ongoing anti-cancer and anti-dengue study.
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http://dx.doi.org/10.1016/j.dib.2023.109895 | DOI Listing |
Acta Med Indones
October 2024
1. Department of Hematology and Medical Oncology, Dharmais National Cancer Center Hospital, Jakarta, Indonesia. 2. Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia..
Cancer is still the leading cause of death worldwide. Despite advances in diagnosis, management with the rituximab, cyclophosphamide, doxorubicin hydrochloride, vincristine sulfate, and prednisone (R-CHOP) chemotherapy regimen, and careful clinical and radiologic evaluation, diffuse large B-cell lymphoma (DLBCL) still carries high recurrence in clinical practice. This case series aims to assess the potential of circulating free RNA as a biomarker for evaluating therapeutic responses in DLBCL.
View Article and Find Full Text PDFMolecules
January 2025
Institute of Pharmaceutical Research and Development, College of Pharmacy, Wonkwang University, Iksan 54538, Republic of Korea.
Inflammation has always been considered a trigger or consequence of neurodegenerative diseases, and the inhibition of inflammation in the central nervous system can effectively protect nerve cells. Several studies have indicated that various natural products inhibit neuroinflammation. Among these, Antarctic fungal metabolites have pharmacological activities and a developmental value.
View Article and Find Full Text PDFMar Drugs
January 2025
Nebraska Center for Virology, School of Veterinary Medicine and Biomedical Sciences, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
Filoviruses, mainly consisting of the two genera of and , are enveloped negative-strand RNA viruses that can infect humans to cause severe hemorrhagic fevers and outbreaks with high mortality rates. However, we still do not have effective medicines for treating these diseases. To search for effective drugs, we have identified three marine indole alkaloids that exhibit potent activities against filovirus infection.
View Article and Find Full Text PDFMar Drugs
December 2024
School of Pharmaceutical Sciences, GBRCE for Functional Molecular Engineering, Sun Yat-sen University, Guangzhou 510006, China.
One new gliotoxin derivative fumianthrogliotoxin (), one new indoquizoline alkaloid 3-(methyl propionate) indoquizoline (), and three novel indole alkaloids, anthroxyindole (), (±)-asperfumiindole A (), and (±)-asperfumiindole B (), together with 16 known compounds (-), were isolated from the culture of deep-sea derived fungus AF1. Their chemical structures and absolute configurations were determined through the analysis of NMR data in combination with electronic circular dichroism (ECD) calculations and other spectroscopic analyses. Compounds - and - were evaluated for anti-pulmonary fibrosis activity.
View Article and Find Full Text PDFBMC Cancer
January 2025
PET/CT center, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, 127 Dongming Road, Zhengzhou, Henan, 450008, China.
Objective: To investigate the predictive value of machine learning-based PET/CT radiomics and clinical risk factors in predicting interim efficacy in patients with follicular lymphoma (FL).
Methods: This study retrospectively analyzed data from 97 patients with FL diagnosed via histopathological examination between July 2012 and November 2023. Lesion segmentation was performed using LIFEx software, and radiomics features were extracted through the uAI Research Portal (uRP) platform, including first-order features, shape features, and texture features.
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