ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022
The Aging Human Lung Mucosa: A Proteomics Study.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Advances in Molecular Research of Tracheobronchial Tree Aging: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Article
- Proteomic analysis of lung responses to SARS-CoV-2 infection in aged non-human primates: clinical and research relevance.GeroScience · 2024Article
- Natural Compounds for Preventing Age-Related Diseases and Cancers.International journal of molecular sciences · 2024Review
- HIV infection impairs the host response to Mycobacterium tuberculosis infection by altering surfactant protein D function in the human lung alveolar mucosa.Mucosal immunology · 2024Article
- Human alveolar lining fluid from the elderly promotes Mycobacterium tuberculosis intracellular growth and translocation into the cytosol of alveolar epithelial cells.Mucosal immunology · 2024Article
- Analysis of COPD: Distinguishing Characteristics and Management of Smoking vs Never Smoking Patients.International journal of chronic obstructive pulmonary disease · 2024Article
- Tuberculosis and COVID-19 in the elderly: factors driving a higher burden of disease.Frontiers in immunology · 2023Review
- Tuberculosis in an Aging World.Pathogens (Basel, Switzerland) · 2022Review
- Pulmonary iron oxide (FeHuman & experimental toxicologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 6 institutions in 1 country.
Funding
Abstract
The older adult population, estimated to double by 2050, is at increased risk of respiratory infections and other pulmonary diseases. Biochemical changes in the lung alveolar lining fluid (ALF) and in alveolar compartment cells can alter local immune responses as we age, generating opportunities for invading pathogens to establish successful infections. Indeed, the lung alveolar space of older adults is a pro-inflammatory, pro-oxidative, dysregulated environment that remains understudied. We performed an exploratory, quantitative proteomic profiling of the soluble proteins present in ALF, developing insight into molecular fingerprints, pathways, and regulatory networks that characterize the alveolar space in old age, comparing it to that of younger individuals. We identified 457 proteins that were significantly differentially expressed in older adult ALF, including increased production of matrix metalloproteinases, markers of cellular senescence, antimicrobials, and proteins of neutrophilic granule origin, among others, suggesting that neutrophils in the lungs of older adults could be potential contributors to the dysregulated alveolar environment with increasing age. Finally, we describe a hypothetical regulatory network mediated by the serum response factor that could explain the neutrophilic profile observed in the older adult population.
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What OpenQuestion holds
Registered trials
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.