Evidence map›Paper›PMID 38067158›Full record

ArticleCells2023

Human Placental Mesenchymal Stem Cells and Derived Extracellular Vesicles Ameliorate Lung Injury in Acute Respiratory Distress Syndrome Murine Model.

Paulius Valiukevičius, Justinas Mačiulaitis, Dalia Pangonytė, Vitalija Siratavičiūtė, Katarzyna Kluszczyńska, Ugnė Kuzaitytė, Rūta Insodaitė, Ieva Čiapienė, Ramunė Grigalevičiūtė, Vilma Zigmantaitė and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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  5. HBEGF/EGFR pathway activation by hUC-MSCs improves cognitive outcomes in anti-NMDAR encephalitis.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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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

12 authors at 2 institutions in 2 countries.

Paulius ValiukevičiusFaculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.ORCID 0000-0002-6611-2334
Justinas MačiulaitisInstitute of Physiology and Pharmacology, Faculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Dalia PangonytėLaboratory of Cardiac Pathology, Institute of Cardiology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Vitalija SiratavičiūtėLaboratory of Cardiac Pathology, Institute of Cardiology, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Katarzyna KluszczyńskaDepartment of Molecular Biology of Cancer, Medical University of Lodz, 90-419 Lodz, Poland.ORCID 0000-0002-7290-1647
Ugnė KuzaitytėFaculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Rūta InsodaitėInstitute of Physiology and Pharmacology, Faculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.ORCID 0000-0003-1509-3660
Ieva ČiapienėInstitute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.ORCID 0009-0004-3393-1474
Ramunė GrigalevičiūtėBiological Research Center, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Vilma ZigmantaitėBiological Research Center, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Astra VitkauskienėDepartment of Laboratory Medicine, Faculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Romaldas MačiulaitisInstitute of Physiology and Pharmacology, Faculty of Medicine, Medical Academy, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.
Lithuanian University of Health Sciences · LTMedical University of Lodz · PL

Funding

Lietuvos Mokslo Taryba 13.1.1-LMT-L-718-05-0020
6 · The paper itself

Abstract

This study investigates the therapeutic potential of human placental mesenchymal stem cells (P-MSCs) and their extracellular vesicles (EVs) in a murine model of acute respiratory distress syndrome (ARDS), a condition with growing relevance due to its association with severe COVID-19. We induced ARDS-like lung injury in mice using intranasal LPS instillation and evaluated histological changes, neutrophil accumulation via immunohistochemistry, bronchoalveolar lavage fluid cell count, total protein, and cytokine concentration, as well as lung gene expression changes at three time points: 24, 72, and 168 h. We found that both P-MSCs and EV treatments reduced the histological evidence of lung injury, decreased neutrophil infiltration, and improved alveolar barrier integrity. Analyses of cytokines and gene expression revealed that both treatments accelerated inflammation resolution in lung tissue. Biodistribution studies indicated negligible cell engraftment, suggesting that intraperitoneal P-MSC therapy functions mostly through soluble factors. Overall, both P-MSC and EV therapy ameliorated LPS-induced lung injury. Notably, at the tested dose, EV therapy was more effective than P-MSCs in reducing most aspects of lung injury.

Indexed as

Extracellular VesiclesLung InjuryMesenchymal Stem CellsRespiratory Distress SyndromeAnimalsCytokinesDisease Models, AnimalFemaleHumansLipopolysaccharidesMicePlacentaPregnancyTissue DistributionCytokinesLipopolysaccharidesacute respiratory distress syndrome (ARDS)COVID-19exosomesextracellular vesicles (EVs)good manufacturing practice (GMP)immunomodulationinflammationmesenchymal stem cells (MSCs)preclinical model

Identifiers

PMID38067158
PMCPMC10706384
OpenAlexW4389137278

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.