Evidence map›Paper›PMID 42801766›Full record

ArticleChemistry & biodiversity2026

Phytochemical Profile, Antioxidant Activity, and Anti-Neuroinflammatory Effects of a Novel Dry Extract of Libidibia ferrea in Microglial Cells.

Francisco Cirineu das Chagas Neto, Kirley Marques Canuto, Arcelina Pacheco Cunha, Nágila Maria Pontes Silva Ricardo, Ana Bruna De Araújo, Francisco Vinícius Clemente Serra Azul, Paulo R V Ribeiro, Patrícia Maria Pontes Thé, Antônia Torres Ávila Pimenta, Luzia Kalyne Almeida Moreira Leal

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Francisco Cirineu das Chagas NetoCenter for Pharmaceutical and Cosmetic Studies, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Fortaleza, Ceará, Brasil.ORCID https://orcid.org/0000-0002-8694-0188
Kirley Marques CanutoEmbrapa Tropical Agroindustry, Fortaleza, Ceará, Brasil.ORCID https://orcid.org/0000-0003-3194-6125
Arcelina Pacheco CunhaDepartment of Organic Chemistry, Federal University of Ceará, Fortaleza, Ceará, Brasil.
Nágila Maria Pontes Silva RicardoDepartment of Organic Chemistry, Federal University of Ceará, Fortaleza, Ceará, Brasil.ORCID https://orcid.org/0000-0003-1849-5403
Ana Bruna De AraújoCenter for Pharmaceutical and Cosmetic Studies, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Fortaleza, Ceará, Brasil.ORCID https://orcid.org/0000-0002-4436-6093
Francisco Vinícius Clemente Serra AzulCenter for Pharmaceutical and Cosmetic Studies, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Fortaleza, Ceará, Brasil.
Paulo R V RibeiroEmbrapa Tropical Agroindustry, Fortaleza, Ceará, Brasil.
Patrícia Maria Pontes ThéCenter for Pharmaceutical and Cosmetic Studies, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Fortaleza, Ceará, Brasil.
Antônia Torres Ávila PimentaCenter for Pharmaceutical and Cosmetic Studies, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Fortaleza, Ceará, Brasil.
Luzia Kalyne Almeida Moreira LealCenter for Pharmaceutical and Cosmetic Studies, Faculty of Pharmacy, Dentistry and Nursing, Federal University of Ceará, Fortaleza, Ceará, Brasil.ORCID https://orcid.org/0000-0002-3826-2677

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico (FUNCAP)
6 · The paper itself

Abstract

Libidibia ferrea is traditionally medicine used in northeastern Brazil; however, studies addressing chemically characterized extracts and pharmacological properties remain limited. This study investigated the chemical composition and anti-neuroinflammatory activity of a dry extract of L. ferrea (DELF) in lipopolysaccharide (LPS)-stimulated microglial cells, as well as its possible mechanisms of action. The extract was characterized using UPLC-ESI-QTOF-MS, and methyl gallate, the major compound, was quantified (38.15 µg/mg dry extract). Cytotoxicity in BV-2 cells was evaluated by the MTT assay. Antioxidant activity was assessed using free radical scavenging assays, while nitric oxide (NO) and IL-6 levels were determined using the Griess reaction and ELISA. iNOS expression was analyzed by western blotting. Eighteen compounds were identified, including phenolic acids, flavonoids, and hydroxy fatty acids. DELF also presented relevant mineral content. The extract (up to 100 µg/mL) and methyl gallate (up to 1.9 µg/mL) were non-cytotoxic. DELF at 100 µg/mL reduced nitrite release by 67% in LPS-stimulated cells and significantly reduced IL-6 production by 55%. DELF decreased NO levels without altering iNOS expression and exhibited antioxidant activity (90.16% DPPH, 83.6% superoxide, and ∼45% hydroxyl radical scavenging at 100 µg/mL). These findings highlight DELF as a promising source of bioactive compounds with potential anti-neuroinflammatory applications.

Indexed as

Anti-Inflammatory AgentsAntioxidantsMicrogliaPhytochemicalsPlant ExtractsAnimalsCell LineCell SurvivalDose-Response Relationship, DrugInterleukin-6LipopolysaccharidesMiceNitric OxideNitric Oxide Synthase Type IIAnti-Inflammatory AgentsAntioxidantsInterleukin-6LipopolysaccharidesNitric OxideNitric Oxide Synthase Type IIPhytochemicalsPlant Extractsanti‐neuroinflammatory activityinflammatory mediatorsLibidibia ferreamethyl gallatemicroglial cellspolyphenols

Identifiers

PMID42801766
PMCPMC13616477

What OpenQuestion holds

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Registered trials

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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.