Evidence map›Paper›PMID 41795851›Full record

ArticlePhysiological reports2026

Intervention effect of small extracellular vesicles derived from dental pulp stem cells on a high-altitude pulmonary edema model in male rats.

Xue Li, Zhuang Mao, Changyao Wang, Yang Liu, Youwei Jiang, Jiawei Liu, XinLong Yan, Hua Wang

Abstract read
In one paragraph

Article in Physiological reports, 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.

Xue LiBeijing International Science and Technology Cooperation Base for Antiviral Drugs, Beijing Key Laboratory of Environmental and Viral Oncology, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.
Zhuang MaoBeijing Institute of Radiation Medicine, Beijing, China.
Changyao WangBeijing Institute of Radiation Medicine, Beijing, China.
Yang LiuBeijing Institute of Radiation Medicine, Beijing, China.
Youwei JiangBeijing Institute of Radiation Medicine, Beijing, China.
Jiawei LiuNational Center of Protein Sciences Beijing, Beijing, China.
XinLong YanBeijing International Science and Technology Cooperation Base for Antiviral Drugs, Beijing Key Laboratory of Environmental and Viral Oncology, College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.
Hua WangBeijing Institute of Radiation Medicine, Beijing, China.ORCID https://orcid.org/0000-0002-5728-7714

Funding

National Natural Science Foundation of China (NSFC) 81573086
6 · The paper itself

Abstract

High-altitude pulmonary edema (HAPE) is a life-threatening disorder caused by hypobaric hypoxia and characterized by pulmonary injury, oxidative stress, and inflammation. We investigated the effects of small extracellular vesicles derived from dental pulp stem cells (DPSCs-sEVs) in a rat model of HAPE as well as hypoxia-injured pulmonary microvascular endothelial cells (PMVECs). Rats were exposed to hypobaric hypoxia for 96 h. Lung injury was assessed by histology and immunofluorescence (VEGF, TNF-α, Occludin). Pulmonary permeability was evaluated by total protein in bronchoalveolar lavage fluid and lung homogenates and by Na

Indexed as

Altitude SicknessDental PulpExtracellular VesiclesHypertension, PulmonaryPulmonary EdemaStem CellsAnimalsDisease Models, AnimalEndothelial CellsLungMaleOxidative StressRatsRats, Sprague-DawleyTumor Necrosis Factor-alphaTumor Necrosis Factor-alphadental pulp stem cellshigh‐altitude pulmonary edemasmall extracellular vesicles

Identifiers

PMID41795851
PMCPMC12967463

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.