Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
10 authors.
Yun ZhangDepartment of Medicine, Division of Pulmonary, Critical Care Medicine, and Sleep, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-1704-7775
David B CorryDepartment of Medicine, Division of Pulmonary, Critical Care Medicine, and Sleep, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0001-9729-1016
Francesca PolverinoDepartment of Medicine, Division of Pulmonary, Critical Care Medicine, and Sleep, Baylor College of Medicine, Houston, TX, USA. francesca.polverino@bcm.edu.ORCID http://orcid.org/0000-0001-9686-5698
Farrah KheradmandDepartment of Medicine, Division of Pulmonary, Critical Care Medicine, and Sleep, Baylor College of Medicine, Houston, TX, USA. farrahk@bcm.edu.ORCID http://orcid.org/0000-0001-5343-103X
Funding
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael T. Lewis · 2007 to 2026
$73.9M
Pathogenesis of Polymicrobial Cerebritis-Related DementiaR01AI135803 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI CORRY, DAVID B, KHERADMAND, FARRAH · 2018 to 2022
$3.8M
B cell-adaptive Immune Profile in Emphysema-predominant COPDR01HL149744 · NHLBI · UNIVERSITY OF ARIZONA · PI POLVERINO, FRANCESCA · 2020 to 2024
$3.4M
Role of MIF and CD74 in the pathogenesis of emphysemaR01HL155948 · NHLBI · YALE UNIVERSITY · PI BUCALA, RICHARD J, SAULER, MAOR · 2021 to 2025
$3.4M
Role of Let-7 as genetic modifier of Alzheimer's DiseaseR01HL140398 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI CORRY, DAVID B, RODRIGUEZ, ANTONY · 2018 to 2022
$2.4M
Protective effects of metformin against cigarette smoke-induced lung pathologies via regulation of fatty acids metabolismR01HL171622 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Francesca Polverino · 2024 to 2026
$2.2M
Toxic Effects of Ecigs Following Transition From Conventional CigarettesR01ES029442 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI KHERADMAND, FARRAH · 2018 to 2020
$1.6M
Detrimental Effects of B-Cell-Th17 Axis in Antiviral Immunity in Smokers.R01HL177930 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Farrah Kheradmand, Francesca Polverino · 2025 to 2026
$1.6M
Th1 and Th17 Mediators in Experimental EmphysemaR01HL117181 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI CORRY, DAVID B, KHERADMAND, FARRAH · 2013 to 2016
$1.5M
High Memory High-Performance Computer Cluster for Biomedical ResearchS10OD032185 · OD · BAYLOR COLLEGE OF MEDICINE · PI HILSENBECK, SUSAN G. · 2022 to 2022
$596k
BLRD VA I01 BX004828CSRD VA I01 CX000104NCI NIH HHS P30 CA125123NHLBI NIH HHS R01 HL117181NHLBI NIH HHS R01 HL140398NHLBI NIH HHS R01 HL149744NHLBI NIH HHS R01 HL155948NHLBI NIH HHS R01 HL171622NHLBI NIH HHS R01 HL177930NIAID NIH HHS R01 AI135803NIEHS NIH HHS R01 ES029442NIH HHS S10 OD032185U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI) 155948
6 · The paper itself
Abstract
There is a significant knowledge gap in how T cells promote emphysema in smokers with chronic obstructive pulmonary disease (COPD). Single-cell RNA sequencing (scRNA seq) analysis of human samples and relevant clinical data can provide new mechanistic insights into disease pathogenesis. We generated a human lung scRNA seq dataset with extensive disease characteristic annotation and analyzed a second independent scRNA seq dataset to examine the pathophysiological role of T cells in emphysema. Comparisons of pulmonary immune landscapes in emphysematous (E)-COPD, non-emphysematous (NE)-COPD, and control showed positive enrichment of T cells in E-COPD. Pathway analyses identified upregulated inflammatory states in CD4 T cells as a distinguishing feature of E-COPD. Compared to controls, glucocorticoid receptor NR3C1 CD4 T cells were enriched in NE-COPD but were reduced in E-COPD. Interactions between macrophages and NR3C1
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.