ArticleMolecular diversity2026
Molecular-networking-based characterization of cytotoxic metabolites produced by the cyanobacterium Nostoc edaphicum CCNP1411.
Article in Molecular diversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Cyanobacteria of the genus Nostoc, known for their large genomes and rich repertoire of biosynthetic gene clusters, represent a prolific source of structurally diverse secondary metabolites with diverse biological activities, including cytotoxic effects. However, the identification of bioactive compounds is often hindered by low metabolite abundance and difficulties in isolating sufficient quantities for individual testing. In this study, we investigated the cytotoxic potential of chromatographic fractions obtained from Nostoc edaphicum CCNP1411 using a combination of bioassay-guided fractionation and LC-MS/MS-based feature-based molecular networking (FBMN). Cytotoxic activity was evaluated using the MTT assay across a panel of epithelial and neuronal cancer cell lines, as well as normal human dermal fibroblasts. The most active fractions, eluted with 80-90% MeOH, exhibited broad cytotoxic effects across all tested cancer cell lines. Molecular networking analysis revealed that these fractions were dominated by lipid derivatives, including lysophospholipids, monoacylglycerols, and free fatty acids, whereas previously described peptide metabolites were distributed across all fractions and were unlikely to be the main agents responsible for the observed activity. Targeted testing of selected commercially available lipid compounds confirmed their cytotoxic effects, with lysophospholipids showing the highest potency in selected cell lines. However, dose-response analysis indicated that most compounds exhibited limited potency at lower concentrations, as reflected by relatively high IC₅₀ values. Overall, our results demonstrate that lipid constituents, previously overlooked as bioactive metabolites produced by N. edaphicum CCNP1411, contribute significantly to the cytotoxic activity of the tested fractions. The application of molecular networking enabled the prioritization of bioactive metabolites and highlights its utility in linking chemical composition with biological effects in complex cyanobacterial extracts.
Indexed as
Identifiers
42714808What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.