Evidence map›Paper›PMID 38577988›Full record

ArticleImmunity, inflammation and disease2024

Effect of IL-17 on pulmonary artery smooth muscle cells and connective tissue disease-associated pulmonary arterial hypertension.

Tian-Yan Shi, Xiao-Hong Wen, Juan Meng, Yue-Wu Lu

Open access · goldAbstract read
In one paragraph

Article in Immunity, inflammation and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Tian-Yan ShiDepartment of Rheumatology and Clinical Immunology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Xiao-Hong WenDepartment of Rheumatology and Clinical Immunology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Juan MengDepartment of Rheumatology and Clinical Immunology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Yue-Wu LuDepartment of Rheumatology and Clinical Immunology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9748-0068
Capital Medical University · CN

Funding

Chinese National Natural Science Foundation 81701593
6 · The paper itself

Abstract

objectiveTo explore the role of interleukin (IL)-17 in connective tissue disease-associated pulmonary arterial hypertension (CTD-PAH) and to investigate its possible mechanism on pulmonary artery smooth muscle cells (PASMCs).

methodsEnzyme-linked immunosorbent assay (ELISA) were used to compare levels of serum IL-17 in patients with CTD-PAH and healthy controls (HCs). After treatment for 3 months, the serum IL-17 levels were tested in CTD-PAH. ELISA and immunohistochemistry were used to compare levels of serum IL-17 and numbers of pulmonary artery IL-17

resultsLevels of IL-17 were upregulated in patients with CTD-PAH compared to HCs. After 3 months of treatment, serum IL-17 levels were downregulated with pulmonary artery pressure amelioration. Moreover, serum IL-17 levels and numbers of IL-17

conclusionLevels of IL-17 may increase in CTD-PAH, and IL-17 promotes proliferation, migration, and secretion of IL-6 and ICAM in PASMCs, respectively, which likely involves the p-38 MAPK pathway.

Indexed as

Interleukin-17Myocytes, Smooth MusclePulmonary Arterial HypertensionAnimalsCell ProliferationHumansInterleukin-6Pulmonary ArteryRatsInterleukin-17Interleukin-6connective tissue disease‐associated pulmonary arterial hypertension (CTD‐PAH)ICAMIL‐17MAPK signal pathwaypulmonary artery smooth muscle cells (PASMCs)

Identifiers

PMID38577988
PMCPMC10996375
OpenAlexW4393992561

What OpenQuestion holds

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LicenceCC BY
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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.