Evidence map›Paper›PMID 40414827›Full record

ArticleYonsei medical journal2025

Dynamics of T Cell-Mediated Immune Signaling Network During Pathogenesis of Chronic Obstructive Pulmonary Disease.

Chae Min Lee, Andrew Sehoon Kim, Minki Kim, Jae Woong Jeong, Sugyeong Jo, Nahee Hwang, Sungsoon Fang

Abstract read
In one paragraph

Article in Yonsei medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Chae Min Lee *Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0008-7290-4304
Andrew Sehoon Kim *Department of Neuroscience, Vanderbilt University College of Arts and Science, Vanderbilt University, Nashville, USA.ORCID https://orcid.org/0009-0008-5690-5243
Minki KimGraduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5587-9935
Jae Woong JeongDepartment of Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4740-3467
Sugyeong JoGraduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0005-5484-9506
Nahee HwangDepartment of Biomedical Sciences, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0009-0008-3895-3225
Sungsoon FangGraduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-0201-5567

Funding

Ministry of Health and Welfare HR18C001202National Research Foundation of Korea NRF-2021R1A2C2009749
6 · The paper itself

Abstract

purposeChronic obstructive pulmonary disease (COPD) is characterized by alveolar destruction and increased inflammation, leading to respiratory symptoms. This study aimed to identify the traits for COPD progression from mild to severe stages. Additionally, we explored the correlation between coronavirus disease-2019 (COVID-19) and COPD to uncover overlapping respiratory patterns. MATERIALS AND

methodsBulk RNA sequencing was conducted on data from 43 healthy individuals and 39 COPD patients across one dataset (GSE239897) to distinguish COPD characteristics. Single-cell RNA analysis was then performed on samples from seven mild patients, seven moderate patients, and three severe patients from three datasets (GSE167295, GSE173896, and GSE227691) to analyze disease progression. Finally, single-nuclei RNA analysis was applied to data from seven healthy individuals and 20 COVID-19 patients from one dataset (GSE171524) to compare the two conditions.

resultsBulk RNA sequencing revealed enhanced inflammatory pathways in COPD patients, indicating increased inflammation. Single-cell RNA sequencing showed a stronger inflammatory response from mild to moderate COPD with a decrease from moderate to severe stages. COVID-19 displayed similar biological patterns to moderate COPD, suggesting that stage-specific COPD analysis could enhance COVID-19 management.

conclusionThe analysis found that immune responses increased from mild to moderate stages but declined in severe cases, marked by reduced pulmonary T cell activation. The overlap between moderate COPD and COVID-19 suggests shared therapeutic strategies, warranting further investigation.

Indexed as

COVID-19Pulmonary Disease, Chronic ObstructiveSignal TransductionT-LymphocytesAgedDisease ProgressionFemaleHumansInflammationMaleMiddle AgedSARS-CoV-2Sequence Analysis, RNASingle-Cell AnalysisChronic obstructive pulmonary diseaseCOVID-19single-cell RNA sequencing

Identifiers

PMID40414827
PMCPMC12116870

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.