Evidence map›Paper›PMID 41944947›Full record

ArticleBulletin of experimental biology and medicine2026

Effects of a High-Fat Diet and a Plant Extract Composition on Extracellular Matrix Remodeling in Rat Liver.

O P Molodykh, L B Kim, I Yu Deulin, A M Sinyavskaya, A N Putyatina, N A Palchikova, V G Selyatitskaya, M I Voevoda

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Article in Bulletin of experimental biology and medicine, 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

8 authors.

O P MolodykhFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia. opmolodykh@frcftm.ru.
L B KimFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
I Yu DeulinFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
A M SinyavskayaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
A N PutyatinaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
N A PalchikovaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
V G SelyatitskayaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
M I VoevodaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The paper describes the effect of a plant extract composition on the metabolism of extracellular matrix (ECM) components in the liver of rats fed a high-fat diet. High-fat diet for 4 weeks increased the content of sulfated glycosaminoglycans, and activation of collagen metabolism and suppression of hyaluronidase activity were detected after 7 weeks. These changes created favorable conditions for fibrogenesis stimulation. The balance between MMP9 and TIMP-1 activities was preserved, but neither severe nor moderate changes in liver ECM were noted at the structural level. Phytocomposition administered against the background of the high-fat diet alleviated pathological remodeling of ECM, which may represent a key mechanism of its action.

Indexed as

Diet, High-FatExtracellular MatrixLiverPlant ExtractsAnimalsCollagenGlycosaminoglycansHyaluronoglucosaminidaseMaleMatrix Metalloproteinase 9RatsRats, WistarTissue Inhibitor of Metalloproteinase-1CollagenGlycosaminoglycansHyaluronoglucosaminidaseMatrix Metalloproteinase 9Mmp9 protein, ratPlant ExtractsTIMP1 protein, ratTissue Inhibitor of Metalloproteinase-1extracellular matrixhigh-fat dietliverphytocomposition

Identifiers

PMID41944947

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.