Evidence mapPaperPMID 38308751Full record

ArticleSleep & breathing = Schlaf & Atmung2024

Effect of continuous positive airway pressure treatment on Th17/Treg imbalance in patients with obstructive sleep apnea and a preliminary study on its mechanism.

Chong Shen, Dandan Zong, Yating Peng, Li Zhou, Ting Liu, Ruoyun Ouyang

Abstract read
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 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
1.9field-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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Regulatory T cells in hypoxic environments.Frontiers in immunology · 2026
    Review
  5. 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

6 authors at 1 institution in 1 country.

Chong ShenDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Dandan ZongDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Yating PengDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Li ZhouDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Ting LiuDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Ruoyun OuyangDepartment of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China. ouyangruoyun@csu.edu.cn.ORCID 0000-0001-8997-9574
Central South University · CN

Funding

National Key Clinical Specialty Discipline Construction Program of China 2012-650National Natural Science Foundation of China 81970086National Natural Science Foundation of China 82001490
6 · The paper itself

Abstract

backgroundObstructive sleep apnea (OSA) can be considered a chronic inflammatory disease that impacts all bodily systems, including the immune system. This study aims to assess the Th17/Treg pattern in patients with OSA and the effect of continuous positive airway pressure (CPAP) treatment.

methodsOSA patients and healthy controls were recruited. OSA patients recommended for CPAP treatment were followed up for three months. Flow cytometry was employed to determine the proportion of Th17 and Treg cells. Real-time quantitative polymerase chain reaction (PCR) and western blotting were utilized to detect the mRNA and protein levels of receptor-related orphan receptor γt (RORγt) and forkhead/winged helix transcription factor (Foxp3), respectively, in peripheral blood mononuclear cells (PBMCs). Enzyme-linked immunosorbent assay (ELISA) was performed to measure the serum levels of interleukin-17 (IL-17), IL-6, transforming growth factor-β1 (TGF-β1), and hypoxia-induced factor-1α (HIF-1α).

resultsA total of 56 OSA patients and 40 healthy controls were recruited. The proportion of Th17 cells, Th17/Treg ratio, mRNA and protein levels of RORγt, and serum IL-17, IL-6, and HIF-1α levels were higher in OSA patients. Conversely, the proportion of Treg cells, mRNA and protein levels of Foxp3, and serum TGF-β1 levels were decreased in OSA patients. The proportion of Th17 and Treg cells in OSA can be predicted by the apnea hypopnea index (AHI), IL-6, TGF-β1 and, HIF-1α. 30 moderate-to-severe OSA patients were adherent to three-month CPAP treatment, with improved Th17/Treg imbalance, IL-17, IL-6, TGF-β1, and HIF-1α levels compared to pre-treatment values.

conclusionThere was a Th17/Treg imbalance in OSA patients. The prediction of Th17 and Treg cell proportions in OSA can be facilitated by AHI, as well as serum IL-6, TGF-β1, and HIF-1α levels. Furthermore, CPAP treatment can potentially improve the Th17/Treg imbalance and reduce proinflammatory cytokines in OSA patients.

Indexed as

Continuous Positive Airway PressureNuclear Receptor Subfamily 1, Group F, Member 3Sleep Apnea, ObstructiveTh17 CellsT-Lymphocytes, RegulatoryAdultFemaleForkhead Transcription FactorsHumansHypoxia-Inducible Factor 1, alpha SubunitInterleukin-17Interleukin-6MaleMiddle AgedTransforming Growth Factor beta1Forkhead Transcription FactorsFOXP3 protein, humanHypoxia-Inducible Factor 1, alpha SubunitInterleukin-17Interleukin-6Nuclear Receptor Subfamily 1, Group F, Member 3RORC protein, humanTransforming Growth Factor beta1Continuous positive airway pressure (CPAP)Hypoxia-induced factor-1α (HIF-1α)Interleukin-6 (IL -6)Obstructive sleep apnea (OSA)Th17/Treg

Identifiers

PMID38308751
OpenAlexW4391514635

What Socratic holds

Textmetadata
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 Socratic graph.