Evidence map›Paper›PMID 34359533›Full record

ArticleFoods (Basel, Switzerland)2021

An Up-Scalable and Cost-Effective Methodology for Isolating a Polypeptide Matrix Metalloproteinase-9 Inhibitor from

Joana Mota, Maria E Figueira, Ricardo B Ferreira, Ana Lima

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. International journal of molecular sciences · 2021
    Article
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

4 authors at 1 institution in 1 country.

Joana MotaLEAF, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisbon, Portugal.ORCID 0000-0002-8835-852X
Maria E FigueiraResearch Institute for Medicines and Pharmaceutical Sciences (iMed.UL), Faculty of Pharmacy, University of Lisbon, Av. Prof. Gama Pinto, 1649-003 Lisboa, Portugal.ORCID 0000-0002-1561-6858
Ricardo B FerreiraLEAF, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisbon, Portugal.ORCID 0000-0002-5027-7564
Ana LimaLEAF, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisbon, Portugal.
University of Lisbon · PT

Funding

Fundação para a Ciência e a Tecnologia PTDC/BAA-AGR/28608/2017Fundação para a Ciência e a Tecnologia SFRH/BD/132832/2017Fundação para a Ciência e a Tecnologia UID/AGR/04129/2020
6 · The paper itself

Abstract

One of the most challenging problems with food-borne bioactive compounds is that there are commonly no cost-effective, generally recognized as safe (GRAS) methods for obtaining gram quantities of their purified forms. Here we aimed at developing a method to isolate deflamin, an oligomeric protein from lupin seeds with anti-inflammatory and anticancer activity through matrix metalloprotease (MMP)-9 inhibition. Our goal was to develop a GRAS method that could be easily up-scalable whilst maintaining deflamin's activity. A sequential precipitation methodology was developed, using an aqueous extraction, followed by heat denaturation, acid precipitation and solubilization in ethanol. A final precipitation with 90% ethanol yielded a purified protein which was sequenced through mass spectrometry and tested for its MMP inhibitory activity using the Dye-quenched (DQ) gelatin assay and the standard wound healing assay in HT29 cells. The developed method yielded a purified oligomer, which represented 0.1% (

Indexed as

deflaminGRAS-safeHT29MMP-9nutraceuticalwhite lupin

Identifiers

PMID34359533
PMCPMC8306530
OpenAlexW3184505222

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.