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Review

Advances in Molecular Research of Tracheobronchial Tree Aging: A Systematic Review

by
Constantin Salahoru
1,
Marius Valeriu Hînganu
1,*,
Paul Salahoru
2 and
Delia Hînganu
1
1
Department of Morpho-Functional Sciences I, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
2
Department of Surgery I, Faculty of Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iasi, Romania
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(11), 5128; https://doi.org/10.3390/ijms26115128
Submission received: 28 March 2025 / Revised: 19 May 2025 / Accepted: 22 May 2025 / Published: 27 May 2025
(This article belongs to the Section Biochemistry)

Abstract

Aging affects all tissues in an organism, including the tracheobronchial tree, with structural and functional changes driven by mechanisms such as oxidative stress, cellular senescence, epigenetic modifications, mitochondrial dysfunction, and telomere shortening. Airway aging can be accelerated by intrinsic or extrinsic factors. This review brings together information from the literature on the molecular changes occurring in all layers of the tracheobronchial airway wall. It examines the biomolecular changes associated with aging in the mucosa, submucosa, cartilage, and smooth muscle of the airways. At the mucosal level, aging reduces ciliary function and disrupts mucin homeostasis, impairing mucociliary clearance and contributing to chronic respiratory diseases such as COPD (Chronic Obstructive Pulmonary Disease). Cellular senescence and oxidative stress drive extracellular matrix remodeling and chronic inflammation. Airway cartilage undergoes age-related changes in collagen and fibronectin composition, leading to increased stiffness, while heightened MMP (Matrix Metalloproteinases) activity exacerbates ECM (extracellular matrix) degradation. In airway smooth muscle, aging induces changes in calcium signaling, hypertrophy, and the secretion of pro-inflammatory mediators, further perpetuating airway remodeling. These changes impair respiratory function and increase susceptibility to chronic respiratory conditions in the elderly. By consolidating current knowledge, this review aims to provide a comprehensive overview of the molecular changes occurring in the respiratory tract with aging and to highlight new molecular perspectives for future research on this topic.

1. Introduction

Aging is a process that affects all organs and tissues, including the tracheobronchial tree. Because respiratory diseases are the third cause of death globally and most of these are associated with aging, understanding the mechanisms beneath is important for creating a better overall picture. The speed of aging can vary according to certain intrinsic or extrinsic factors. It can differ in different organs and is based on several mechanisms such as epigenetic changes, cellular senescence, oxidative stress, mitochondrial dysfunction, or telomere shortening.
Epigenetic changes studied so far in the context of aging include DNA(deoxyribonucleic acid) methylation, histone modification, chromatin remodeling, noncoding RNA (ribonucleic) regulation, and RNA modification [1]. Among these, DNA methylation is the most studied and is defined as a modification that occurs by the addition of a methyl group at the C-5 position of the cytosine ring by DNA methyltransferases. Methods for measuring DNA methylation have shown accurate results in predicting chronological age as well as biological age, and predictive tools have been developed based on this [2]. Among these, the Horvath clock is one of the most well-known aging-measure tools, having the ability to predict aging systemically in almost all types of human cells and tissues [3]. Using these biological age calculation tools, it has been demonstrated that the acceleration of aging in the tracheobronchial tree can be caused by factors such as the use of electronic cigarettes, tobacco [4], or the presence of the human immunodeficiency virus (HIV) [5]. In chronic obstructive pulmonary disease (COPD), which is known to be a condition associated with an accelerated aging process [6], the epithelial cells of the small airways show aberrant DNA methylation, most of them being hypermethylated, and some of them are hypomethylated [7].
The role of cellular senescence in the respiratory system is a complex one, with negative effects on aging, but at the same time it shows beneficial effects, especially against malignant cellular transformation [8]. The role of cellular senescence in the respiratory system is complex. While it contributes to chronic inflammation and impaired tissue repair, it also plays a protective role against malignant transformation. Senescence is triggered by oncogenic stress and DNA damage, leading to permanent cell cycle arrest through p53 and Rb pathways. This mechanism prevents damaged cells from proliferating and accumulating further mutations, thereby acting as an early barrier to tumor development. In this way, senescence functions as a tumor-suppressor program, particularly relevant in tissues with high exposure to environmental insults, such as the respiratory epithelium [9,10].
It is known that the presence of senescent cells is high in older people and is associated with various chronic respiratory diseases [11]. At the level of airway epithelial cells, cellular senescence has been linked to the initiation of airway remodeling, chronic lung inflammation, and impaired repair processes [12]. These phenomena can lead to the facilitation and progression of pathogens and harmful particles in the lungs [13]. Senescent cells are associated with the senescence-associated secretory phenotype (SASP), which leads to a chronic inflammatory environment in the airways increasing the risk of exacerbations of chronic respiratory diseases such as COPD [14]. Integrin beta4 (ITGB4) deficiency leads to senescence in airway epithelial cells by activating the p53 pathway, both in vivo and in vitro, with implications for airway ciliated cell function [15]. In addition, cellular senescence leads to the remodeling of the extracellular matrix (ECM) and also of the histologic architecture in the respiratory tract [16]. In another study, after airway exposure to fine particles, SASP was demonstrated to influence respiratory smooth muscle (ASM) by inhibiting this phenotype [17]. Cellular senescence is usually associated with other features of aging such as telomere shortening, mitochondrial dysfunction, and defective autophagy [18].
Cellular senescence is usually associated with other features of aging, such as telomere shortening and defective autophagy. Telomeres are repetitive nucleotide sequences at the ends of chromosomes that protect them from degradation. With each cell division, telomeres shorten until a critical length is reached, triggering a DNA damage response that activates the p53 pathway and leads to permanent cell cycle arrest (senescence). In parallel, autophagy—a key cellular degradation pathway—becomes progressively impaired with age, resulting in the accumulation of damaged organelles and misfolded proteins. This defective autophagic flux contributes to mitochondrial dysfunction, oxidative stress, and the SASP, all of which are known to affect airway structure and function [19,20].
Reactive oxygen species (ROS) are oxygen free radicals, which appear as a result of aerobic cellular metabolism [21] and which trigger a cascade of events that perpetuate inflammation, cell damage, and tissue remodeling [22]. Increased ROS can lead to mitochondrial dysfunction [23]. Mitochondrial function at the level of secretory cells and basal cells in the respiratory epithelium is essential for the proper functioning of the mucociliary apparatus, and for example, in COPD, mitochondria show abnormal morphology represented by loss of cristae, branching, fragmentation, and increased mass [24]. Oxidative stress increases with age [25], and the accumulation of ROS at the level of cells and tissues in the respiratory tract leads to their damage with an impact on their function [26].
Together, these mechanisms can contribute to the aging of the tracheobronchial tree with a local and also a systemic impact.
This study aims to summarize the biomolecular changes that take place at the level of the tracheobronchial tree with aging, on each individual layer. Most of the previous studies focus on only one layer of the tracheobronchial wall and the changes brought together with aging at that level, or on the pathological conditions that accelerate these phenomena. We believe the main novelty of this manuscript lies in bringing all this information together to create a unified perspective on tracheobronchial aging phenomena and to guide future research directions.

2. Materials and Methods

A systematic search was conducted across multiple electronic databases (PubMed, Web of Science, SciELO, SpringerLink, ScienceDirect, ResearchGate, Wiley Online Library, Lippincott Williams & Wilkins, MDPI, and Bond University Research Portal) for articles published between 2020 and 2025. The Boolean strategy combined the keywords (“aging” OR “senescence”) AND (“tracheobronchial tree” OR “airways”), further refined with (“oxidative stress” OR “epigenetic changes” OR “cellular senescence”) AND (“mucus” OR “mucin” OR “smooth muscle” OR “extracellular matrix” OR “cartilage”). MeSH terms were not used to allow inclusion of newer, non-indexed articles.
The screening involved title and abstract review, selection of English full-texts, and removal of duplicates via automated and manual verification. Eligible studies reported biomolecular aging-related changes in tracheobronchial structures (mucosa, submucosa, cartilage, and smooth muscle). Both original and review articles were considered. Articles with overlapping data, unclear methodology, or ambiguous outcomes were excluded (Figure 1).
Data extraction focused on mechanisms such as epigenetic alterations, senescence, oxidative stress, mitochondrial dysfunction, and telomere shortening, using standardized templates to ensure methodological consistency and reduce bias. The methodology is detailed in the table below and illustrates the number of studies identified, screened, excluded, and included at each stage of the review process (Table 1).

3. Results and Discussion

Murine studies were included in this analysis due to their well-established role in aging research and respiratory biology. Mice serve as widely used experimental models because they share key molecular and cellular mechanisms of aging with humans, including oxidative stress responses, epigenetic modifications, cellular senescence, and extracellular matrix remodeling. These models allow for controlled investigations of aging-related processes in a way that would be impractical or unethical in human subjects.
While there are inherent species differences in airway anatomy and immune responses, murine studies provide critical mechanistic insights that complement human data. The inclusion of these studies was carefully considered, and findings from murine models were interpreted in the context of human relevance. Where possible, correlations between murine and human data were made to ensure translational value.

3.1. The Mucous and Submucous Layers

The respiratory epithelium represents the first line of defense against inhaled pathogens. This defense is possible through a physical barrier, which involves the proper functioning of the mucociliary apparatus [27]. The tracheobronchial tree contains a pseudostratified ciliated epithelium on the surface of the luminal mucosa, and it is mainly composed of bronchial and bronchiole epithelial cells, including ciliated cells, goblet cells, secretory cells, and basal progenitor cells [16]. The trachea and bronchi are lined with ciliated epithelial cells, and the ciliated cells are covered by a thin layer of periciliary solution that facilitates the movement of the cilia [28]. The normal mucociliary clearance (MCC) time ranges from 7 to 15 min [29,30].
With aging, oxidative stress increases [31], which can lead to the activation of protein kinase Cε (PKCε), and its activation has been associated with the slowing of cilia movement in the tracheobronchial epithelium [32]. Besides these factors, aging is associated with a gradual decrease in the number of cilia and ciliated cells in the respiratory tract [33]. Certain extrinsic factors, such as exposure to cigarette smoke or flavors in e-cigarettes, can accelerate aging by affecting cilia length, with smokers having approximately 13% to 15% shorter cilia than nonsmokers in humans [34] and in mice [35], and exposure to flavoring substances from e-cigarettes leads to a decrease in the number of ciliated cells [36].
An immunohistochemical analysis of the airways of mice demonstrated the presence of age-related gland-like structures (ARGLS) [33,37,38]. However, the presence of these ARGLS was observed only in older mice, suggesting their de novo appearance during life [33].
SOX2+ (sex-determining region Y-box 2) cells are basal progenitor cells essential for airway epithelial regeneration, particularly in response to injury [39]. SOX2+ cells are important in maintaining the homeostasis and regenerative potential of the respiratory epithelium [40]. These cells show a decrease in their number with aging and, consequently, a decrease in the regeneration capacity of the respiratory epithelium [41]. In contrast, p63+ and keratin 5-expressing cells (KRT5+) cells, recognized as distal airway stem cells (DASCs) important in airway epithelial regeneration [42], appear to maintain their numbers and properties with aging in humans, but not in mice [33,41]. This distinction suggests that the decline of SOX2+ cells is balanced by DASCs p63+ and KRT5+ cells, which continue to provide a regenerative reservoir.
Zuo et al. showed that cells from the distal airways expressing DASC p63/Krt5 are absolutely necessary for lung tissue regeneration after acute lung injuries, and their absence leads to a replacement of lung tissue with fibrous tissue [42].
In a study by Balázs et al. [43], the nasal epithelium was analyzed in children and in older people. The results showed that, at the level of the nasal epithelium, there were no differences between the number of KRT5+ basal cells between the young and the elderly [43]. A difference in the number of KRT5+ cells was observed only in pathological aging of the small airways [41], but there are no studies evaluating the number of KRT5+ cells in the large airways with aging.
With aging, modifications in mucus hydration and rheological properties within the airway may occur. Mucus with abnormal biophysical characteristics is frequently observed in muco-obstructive respiratory diseases such as bronchial asthma, COPD, and cystic fibrosis (CF). These abnormalities arise from alterations in mucin polymer assembly, concentration, macromolecular structure, airway surface hydration, pH, and ion composition [44]. The gel layer of mucus primarily consists of mucin glycoproteins [28]. These mucins are secreted by various types of airway epithelial cells, including basal cells, goblet cells, and ciliated cells [45]. The most important mucins produced in the respiratory tract are classified into two categories: the secreted polymeric mucins, MUC5AC and MUC5B, and the cell-bound mucins, MUC1, MUC4, MUC16, and MUC20 [44]. Among the known mucins present in the airway, MUC5AC and MUC5B are the primary gel-forming mucin glycoprotein [46].
Okuda et al. demonstrated that MUC5B is expressed in both the superficial epithelium of the airways and the submucosal glands, with a notable presence in the smaller airways, whereas MUC5AC production is restricted to the superficial epithelium of larger, cartilaginous airways [47]. Additionally, it was observed that both MUC5B and MUC5AC were co-localized with club cell secretory protein 1 (CCSP1)-producing cells in the proximal superficial epithelium, suggesting a shared distribution pattern [47]. The expression of MUC5B and MUC5AC mucins is elevated in chronic respiratory tract diseases, whereas outside of such conditions, MUC5B is the predominantly expressed mucin [48,49].
MUC5AC hypersecretion in the airways is a hallmark of pulmonary inflammatory diseases [50]. It has been suggested that MUC5AC plays an essential role in the acute-phase airway defense mechanisms [51]. MUC5AC has also been associated with inflammation, as demonstrated by studies showing that MUC5AC-deficient mice exhibited reduced airway inflammation, while the administration of exogenous MUC5AC glycoprotein enhanced inflammatory responses [52,53]. On the other hand, MUC5AC enhances mucus viscoelasticity, promoting hydrodynamic coupling between the mucus and periciliary layers, which is essential for effective mucus clearance [54].
MUC5B is a crucial gel-forming mucin in the tracheobronchial tree, playing a significant role in mucociliary clearance (MCC) and lung defense [55,56]. It has also been shown that MUC5B levels are decreased in aged mice compared to young mice, which has implications for mucociliary clearance (MCC) [57]. In COPD, in murine models, it was demonstrated that MUC5B is the predominant mucin, suggesting an important role in this pathology [57].
Lactoferrin (LTF) is a multifunctional glycoprotein that belongs to the transferrin family and is capable of binding and transporting iron [58]. It is present in various biological fluids, including breast milk, saliva, tears, mucus, and respiratory secretions [59]. LTF possesses immunomodulatory and antioxidant properties, playing a key role in reducing inflammation and oxidative stress in the airways [60]. As an iron-binding protein, LTF contributes to the regulation of iron homeostasis by limiting the conversion of free radicals into highly reactive pro-inflammatory species, such as the hydroxyl radical [61]. A study on the effects of LTF on cerebral senescence and cognitive function in aged mice demonstrated its ability to reduce oxidative stress and chronic inflammation, leading to an improvement in cognitive function [62]. Studies have shown that LTF, in its iron-free form, reduces allergen-induced inflammation, inflammatory cell accumulation, and excessive mucin production in the airways [63]. However, the effects of aging on LTF secretion remain unknown, highlighting an important area for future research.

3.2. The Cartilaginous Layer

Of the total collagen in the airways, which consists of 28 subtypes, over 80% is represented by subtypes I, II, and III [64]. Type I and type III collagen have a structural role, and their ratio determines the resistance to breaking during stretching. In contrast, type II collagen represents approximately 95% of the collagen found in the cartilage of the trachea and bronchial tubes, playing a key role in facilitating the synthesis of the extracellular matrix (ECM) by chondrocytes [65].
Despite its importance, there are limited studies on how aging affects the ECM of the lungs and tracheobronchial tree. A remodeling of the ECM in the airways of aged mice has been observed, and this remodeling was attributed to a marked increase in the levels of collagen types IV and XVI, as well as a decrease in the level of collagen type XIV [66].
In another study by Ulldemolins et al., the effects of aging on the ECM of the lungs in mice were investigated. The results revealed that fibronectin and type I collagen were significantly increased in older mice compared to young ones, while laminin was reduced in older mice in comparison to young ones [65]. These changes lead to a stiffening of the pulmonary parenchyma and could also be relevant for the tracheobronchial tree.
In conditions such as COPD, which is closely associated with accelerated lung aging, similar alterations in the ECM may contribute to the disease’s progression during aging [6,67,68]. Chronic inflammation and bronchoconstriction lead to significant remodeling of the airway ECM. This remodeling is characterized by excessive deposition of collagen and fibronectin, resulting in the narrowing of the airways and increased resistance to airflow [69].
Matrix metalloproteinases (MMPs) are enzymes that degrade ECM components, such as collagen and elastin. For instance, in the skin, MMP overexpression leads to accelerated aging by breaking down the structural components of the ECM, resulting in loss of elasticity and the formation of wrinkles [70]. In COPD, a condition associated with accelerated aging, plasma and serum levels of MMP-1 have been shown to increase in proportion to disease severity. This suggests that MMP-1 plays a role in the progressive remodeling of the airway ECM, contributing to the worsening of the disease [71,72]. Perhaps the most studied MMP in connection with COPD is MMP-9. Studies have shown that the levels of this proteinase are increased in patients with COPD, contributing to the degradation of the ECM and promoting inflammation and tissue remodeling in the airways [73,74,75]. MMP-9 has even been proposed as a biomarker for exacerbation risk in patients with COPD, as its elevated levels correlate with increased inflammation and the potential for disease flare-ups [76].

3.3. Airway Smooth Muscle

It is known that airway smooth muscle (ASM) plays a crucial role in maintaining branchiomotor tone, and this mechanism is mediated by bronchoconstrictors such as acetylcholine (ACh) and histamine. These molecules increase intracellular calcium concentration, which in turn enhances contractility and leads to bronchoconstriction [77,78,79]. Ca2⁺ signaling has been shown to increase with age in several types of smooth muscle cells, contributing to altered muscle contractility and potentially leading to dysfunction in various tissues, including the airways [79,80,81] and ASM [79], showing possible significance in age-related airway changes.
Another role of airway smooth muscle (ASM) is to modulate inflammation and remodeling through the expression and secretion of cytokines and pro-inflammatory mediators. This process contributes to the chronic inflammation and structural changes seen in diseases like asthma and COPD [82]. Senescent airway smooth muscle (ASM) cells are associated with the senescence-associated secretory phenotype (SASP), which leads to chronic low-grade inflammation and ECM remodeling. This process contributes to the persistent inflammation and tissue changes observed in respiratory diseases such as asthma and COPD [83].
ASM cells also express integrins and adhesion molecules such as intracellular adhesion molecule 1 (ICAM-1) and vascular endothelial cell adhesion molecule 1 (VCAM-1). These molecules are upregulated in response to inflammatory cytokines and play a crucial role in facilitating the migration and adhesion of inflammatory cells, contributing to airway inflammation and remodeling [84].
The development of airway smooth muscle hypertrophy is influenced by both mechanical and inflammatory mechanisms. Mechanical factors, such as airway stretching and increased airway resistance, along with inflammatory stimuli, such as cytokines and growth factors, contribute to the thickening and remodeling of the smooth muscle in conditions like asthma and COPD [85]. Mechanical stretch induces hypertrophy through various signaling pathways, including Wnt, GSK3, Akt, and mTOR. These pathways are particularly activated when stimulated by substances such as transforming growth factor (TGF) or endothelin, leading to the growth and remodeling of airway smooth muscle [77].
Recent insights into the aging process have emphasized the critical role of specific signaling pathways and molecular mediators in the tracheobronchial tree. Two major tumor-suppressor pathways—p53/p21 and p16INK4a/Rb—are pivotal in initiating and maintaining cellular senescence. Activation of these pathways occurs in response to DNA damage, telomere shortening, and oxidative stress, leading to irreversible cell cycle arrest and preventing malignant transformation in airway epithelial cells [86,87].
At the same time, chronic exposure to inflammatory stimuli in the aging lung leads to the persistent activation of NF-κB, a key transcription factor that regulates genes involved in inflammation, immunity, and cell survival. NF-κB activation promotes the senescence-associated secretory phenotype (SASP), a pro-inflammatory profile that includes IL-6, IL-8, TNF-α, and MMPs. These molecules not only sustain inflammation but also remodel the extracellular matrix, contributing to airway stiffness and functional decline [88,89,90,91,92,93].
Additionally, dysregulation of mTOR (mechanistic Target of Rapamycin) and impaired autophagy are central features of aging in airway smooth muscle and epithelial cells. Normally, autophagy maintains cellular homeostasis by degrading damaged organelles and proteins. In aging tissues, a decline in autophagy, particularly involving Beclin-1, AMPK, and ULK1, leads to mitochondrial dysfunction and accumulation of reactive oxygen species, further promoting senescence and inflammation [41,94,95,96,97,98,99] (Figure 2, Table 2).
Understanding these pathways provides essential context for targeting age-related respiratory decline and offers new perspectives for therapeutic modulation in elderly populations or patients with chronic respiratory diseases such as COPD [9,100] (Table 3).

4. Perspectives

After reviewing the literature on the biomolecular changes that occur in the tracheobronchial tree during the aging process, we conclude that there is a close connection between the mechanisms underlying changes in each layer of the airways. These quantitative changes, such as collagen deposition, overproduction of mucins, or the appearance of ARGLS, as well as qualitative changes, such as the alteration of calcium signaling and the decline in mucociliary clearance, are likely part of the functional decline of the respiratory system.
Although numerous studies have investigated the molecular changes that occur with aging, there is a lack of studies that provide a comprehensive understanding of these changes, systematically tracking their appearance over time. Furthermore, there are many respiratory tract diseases where women exhibit a different prognosis and disease progression compared to men or in relation to different hormonal stages [106,107,108]. These hormonal stages occur at various times throughout life, such as before puberty, during puberty, during pregnancy, or menopause. Therefore, investigating hormonal receptors at this level and correlating them with different age stages represents an important direction for future research.
Additionally, with the advent of tools for calculating epigenetic age and exploring how respiratory health could be influenced by the administration of certain anti-aging drugs, such as metformin and rapamycin [109], or physical exercise [110] could provide valuable insights into aging-related changes and potential therapeutic strategies.
A comprehensive overview of the cellular, molecular, and structural changes that occur with aging could provide new therapeutic perspectives, innovative prevention strategies, and potentially even predictive tools for the progression and treatment of acute or chronic conditions affecting the tracheobronchial tree. Understanding these age-related changes in greater detail would allow for more personalized and effective interventions aimed at preserving respiratory function and improving patient outcomes across different age groups.

5. Conclusions

Our study highlights the need for comprehensive and unified research across all layers of the bronchial tree walls, both quantitative and qualitative. These aspects have been studied separately until now. Correlating the results of these studies is essential and has the potential to facilitate the development of a complex management protocol for elderly patients. Areas of interest range from gerontology, pulmonology, and cervical-thoracic surgery to intensive care.

Author Contributions

C.S. and M.V.H. developed the concept and framework for the review; C.S and P.S. performed the literature search and collated relevant studies; C.S. and M.V.H. analyzed the data and wrote the manuscript; D.H. critically reviewed the manuscript, provided substantive feedback, and contributed to revising the draft. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Wang, K.; Liu, H.; Hu, Q.; Wang, L.; Liu, J.; Zheng, Z.; Zhang, W.; Ren, J.; Zhu, F.; Liu, G.-H. Epigenetic Regulation of Aging: Implications for Interventions of Aging and Diseases. Signal Transduct. Target. Ther. 2022, 7, 374. [Google Scholar] [CrossRef] [PubMed]
  2. Salameh, Y.; Bejaoui, Y.; El Hajj, N. DNA Methylation Biomarkers in Aging and Age-Related Diseases. Front. Genet. 2020, 11, 480672. [Google Scholar] [CrossRef]
  3. Horvath, S. DNA Methylation Age of Human Tissues and Cell Types. Genome Biol. 2013, 14, 3156. [Google Scholar] [CrossRef] [PubMed]
  4. Song, M.-A.; Mori, K.M.; McElroy, J.P.; Freudenheim, J.L.; Weng, D.Y.; Reisinger, S.A.; Brasky, T.M.; Wewers, M.D.; Shields, P.G. Accelerated Epigenetic Age, Inflammation, and Gene Expression in Lung: Comparisons of Smokers and Vapers with Non-Smokers. Clin. Epigenet. 2023, 15, 160. [Google Scholar] [CrossRef] [PubMed]
  5. Hernández Cordero, A.I.; Yang, C.X.; Yang, J.; Li, X.; Horvath, S.; Shaipanich, T.; MacIsaac, J.; Lin, D.; McEwen, L.; Kobor, M.S.; et al. The Relationship between the Epigenetic Aging Biomarker “Grimage” and Lung Function in Both the Airway and Blood of People Living with HIV: An Observational Cohort Study. EBioMedicine 2022, 83, 104206. [Google Scholar] [CrossRef] [PubMed]
  6. MacNee, W. Is Chronic Obstructive Pulmonary Disease an Accelerated Aging Disease? Ann. Am. Thorac. Soc. 2016, 13 (Suppl. S5), S429–S437. [Google Scholar] [CrossRef]
  7. Vucic, E.A.; Chari, R.; Thu, K.L.; Wilson, I.M.; Cotton, A.M.; Kennett, J.Y.; Zhang, M.; Lonergan, K.M.; Steiling, K.; Brown, C.J.; et al. DNA Methylation Is Globally Disrupted and Associated with Expression Changes in Chronic Obstructive Pulmonary Disease Small Airways. Am. J. Respir. Cell Mol. Biol. 2014, 50, 912–922. [Google Scholar] [CrossRef]
  8. Hansel, C.; Jendrossek, V.; Klein, D. Cellular Senescence in the Lung: The Central Role of Senescent Epithelial Cells. Int. J. Mol. Sci. 2020, 21, 3279. [Google Scholar] [CrossRef]
  9. Muñoz-Espín, D.; Serrano, M. Cellular Senescence: From Physiology to Pathology. Nat. Rev. Mol. Cell Biol. 2014, 15, 482–496. [Google Scholar] [CrossRef]
  10. Hanahan, D.; Weinberg, R.A. Hallmarks of Cancer: The next Generation. Cell 2011, 144, 646–674. [Google Scholar] [CrossRef]
  11. Parikh, P.; Wicher, S.; Khandalavala, K.; Pabelick, C.M.; Britt, R.D.; Prakash, Y.S. Cellular Senescence in the Lung across the Age Spectrum. Am. J. Physiol.-Lung Cell. Mol. Physiol. 2019, 316, L826–L842. [Google Scholar] [CrossRef] [PubMed]
  12. Wang, Y.; Xu, J.; Meng, Y.; Adcock, I.M.; Yao, X. Role of Inflammatory Cells in Airway Remodeling in COPD. Int. J. Chronic Obstr. Pulm. Dis. 2018, 13, 3341–3348. [Google Scholar] [CrossRef] [PubMed]
  13. Aghasafari, P.; George, U.; Pidaparti, R. A Review of Inflammatory Mechanism in Airway Diseases. Inflamm. Res. 2019, 68, 59–74. [Google Scholar] [CrossRef] [PubMed]
  14. Rivas, M.; Gupta, G.; Costanzo, L.; Ahmed, H.; Wyman, A.E.; Geraghty, P. Senescence: Pathogenic Driver in Chronic Obstructive Pulmonary Disease. Medicina 2022, 58, 817. [Google Scholar] [CrossRef] [PubMed]
  15. Yuan, L.; Du, X.; Tang, S.; Wu, S.; Wang, L.; Xiang, Y.; Qu, X.; Liu, H.; Qin, X.; Liu, C. ITGB4 Deficiency Induces Senescence of Airway Epithelial Cells through P53 Activation. FEBS J. 2019, 286, 1191–1203. [Google Scholar] [CrossRef]
  16. Schneider, J.L.; Rowe, J.H.; Garcia-de-Alba, C.; Kim, C.F.; Sharpe, A.H.; Haigis, M.C. The Aging Lung: Physiology, Disease, and Immunity. Cell 2021, 184, 1990–2019. [Google Scholar] [CrossRef]
  17. Cheng, P.-P.; Yu, F.; Chen, S.-J.; Feng, X.; Jia, Z.-H.; Hu, S.-H.; Cui, X.-L.; Zhou, Y.-Y.; Niu, Q.; Liang, L.-M.; et al. PM2.5 Exposure-Induced Senescence-Associated Secretory Phenotype in Airway Smooth Muscle Cells Contributes to Airway Remodeling. Environ. Pollut. 2024, 347, 123674. [Google Scholar] [CrossRef]
  18. Barnes, P.J.; Baker, J.; Donnelly, L.E. Cellular Senescence as a Mechanism and Target in Chronic Lung Diseases. Am. J. Respir. Crit. Care Med. 2019, 200, 556–564. [Google Scholar] [CrossRef]
  19. Blackburn, E.H.; Epel, E.S.; Lin, J. Human Telomere Biology: A Contributory and Interactive Factor in Aging, Disease Risks, and Protection. Science 2015, 350, 1193–1198. [Google Scholar] [CrossRef]
  20. López-Otín, C.; Blasco, M.A.; Partridge, L.; Serrano, M.; Kroemer, G. The Hallmarks of Aging. Cell 2013, 153, 1194–1217. [Google Scholar] [CrossRef]
  21. Juan, C.A.; Pérez de la Lastra, J.M.; Plou, F.J.; Pérez-Lebeña, E. The Chemistry of Reactive Oxygen Species (ROS) Revisited: Outlining Their Role in Biological Macromolecules (DNA, Lipids and Proteins) and Induced Pathologies. Int. J. Mol. Sci. 2021, 22, 4642. [Google Scholar] [CrossRef] [PubMed]
  22. Mittal, K.; Gonçalves, V.F.; Harripaul, R.; Cuperfain, A.B.; Rollins, B.; Tiwari, A.K.; Zai, C.C.; Maciukiewicz, M.; Müller, D.J.; Vawter, M.P.; et al. A Comprehensive Analysis of Mitochondrial Genes Variants and Their Association with Antipsychotic-Induced Weight Gain. Schizophr. Res. 2017, 187, 67–73. [Google Scholar] [CrossRef] [PubMed]
  23. Song, J.; Xiao, L.; Zhang, Z.; Wang, Y.; Kouis, P.; Rasmussen, L.J.; Dai, F. Effects of Reactive Oxygen Species and Mitochondrial Dysfunction on Reproductive Aging. Front. Cell Dev. Biol. 2024, 12, 1347286. [Google Scholar] [CrossRef] [PubMed]
  24. Cloonan, S.M.; Kim, K.; Esteves, P.; Trian, T.; Barnes, P.J. Mitochondrial Dysfunction in Lung Ageing and Disease. Eur. Respir. Rev. 2020, 29, 200165. [Google Scholar] [CrossRef]
  25. Delgado-Roche, L.; Mesta, F. Oxidative Stress as Key Player in Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) Infection. Arch. Med. Res. 2020, 51, 384–387. [Google Scholar] [CrossRef]
  26. Sies, H.; Belousov, V.V.; Chandel, N.S.; Davies, M.J.; Jones, D.P.; Mann, G.E.; Murphy, M.P.; Yamamoto, M.; Winterbourn, C. Defining Roles of Specific Reactive Oxygen Species (ROS) in Cell Biology and Physiology. Nat. Rev. Mol. Cell Biol. 2022, 23, 499–515. [Google Scholar] [CrossRef]
  27. Vareille, M.; Kieninger, E.; Edwards, M.R.; Regamey, N. The Airway Epithelium: Soldier in the Fight against Respiratory Viruses. Clin. Microbiol. Rev. 2011, 24, 210–229. [Google Scholar] [CrossRef]
  28. Bustamante-Marin, X.M.; Ostrowski, L.E. Cilia and Mucociliary Clearance. Cold Spring Harb. Perspect. Biol. 2017, 9, a028241. [Google Scholar] [CrossRef] [PubMed]
  29. Bailey, K.L. Aging Diminishes Mucociliary Clearance of the Lung. Adv. Geriatr. Med. Res. 2022, 4, e220005. [Google Scholar] [CrossRef]
  30. Koparal, M.; Kapici, Y.; Aslan, S.; Hepkarsi, S.; Karataş, M.; Yılmazer, C. Evaluation of Nasal Mucociliary Clearance as an Indicator of Nasal Function in Obsessive-Compulsive Patients: A Cross-Sectional Study. Indian J. Otolaryngol. Head Neck Surg. 2023, 75, 3263–3267. [Google Scholar] [CrossRef]
  31. Liguori, I.; Russo, G.; Curcio, F.; Bulli, G.; Aran, L.; Della-Morte, D.; Gargiulo, G.; Testa, G.; Cacciatore, F.; Bonaduce, D.; et al. Oxidative Stress, Aging, and Diseases. Clin. Interv. Aging 2018, 13, 757–772. [Google Scholar] [CrossRef] [PubMed]
  32. Bailey, K.L.; Kharbanda, K.K.; Katafiasz, D.M.; Sisson, J.H.; Wyatt, T.A. Oxidative Stress Associated with Aging Activates Protein Kinase Cε, Leading to Cilia Slowing. Am. J. Physiol. Lung Cell Mol. Physiol. 2018, 315, L882–L890. [Google Scholar] [CrossRef] [PubMed]
  33. Wansleeben, C.; Bowie, E.; Hotten, D.F.; Yu, Y.-R.A.; Hogan, B.L.M. Age-Related Changes in the Cellular Composition and Epithelial Organization of the Mouse Trachea. PLoS ONE 2014, 9, e93496. [Google Scholar] [CrossRef]
  34. Leopold, P.L.; O’Mahony, M.J.; Lian, X.J.; Tilley, A.E.; Harvey, B.-G.; Crystal, R.G. Smoking Is Associated with Shortened Airway Cilia. PLoS ONE 2009, 4, e8157. [Google Scholar] [CrossRef] [PubMed]
  35. Simet, S.M.; Sisson, J.H.; Pavlik, J.A.; DeVasure, J.M.; Boyer, C.; Liu, X.; Kawasaki, S.; Sharp, J.G.; Rennard, S.I.; Wyatt, T.A. Long-Term Cigarette Smoke Exposure in a Mouse Model of Ciliated Epithelial Cell Function. Am. J. Respir. Cell Mol. Biol. 2010, 43, 635. [Google Scholar] [CrossRef]
  36. Park, H.-R.; O’Sullivan, M.; Vallarino, J.; Shumyatcher, M.; Himes, B.E.; Park, J.-A.; Christiani, D.C.; Allen, J.; Lu, Q. Transcriptomic Response of Primary Human Airway Epithelial Cells to Flavoring Chemicals in Electronic Cigarettes. Sci. Rep. 2019, 9, 1400. [Google Scholar] [CrossRef]
  37. Nettesheim, P.; Martin, D.H. Appearance of Glandlike Structures in the Tracheobronchial Tree of Aging Mice. J. Natl. Cancer Inst. 1970, 44, 687–693. [Google Scholar]
  38. Aros, C.J.; Vijayaraj, P.; Pantoja, C.J.; Bisht, B.; Meneses, L.K.; Sandlin, J.M.; Tse, J.A.; Chen, M.W.; Purkayastha, A.; Shia, D.W.; et al. Distinct Spatiotemporally Dynamic Wnt-Secreting Niches Regulate Proximal Airway Regeneration and Aging. Cell Stem Cell 2020, 27, 413–429.e4. [Google Scholar] [CrossRef] [PubMed]
  39. Tompkins, D.H.; Besnard, V.; Lange, A.W.; Keiser, A.R.; Wert, S.E.; Bruno, M.D.; Whitsett, J.A. Sox2 Activates Cell Proliferation and Differentiation in the Respiratory Epithelium. Am. J. Respir. Cell Mol. Biol. 2011, 45, 101–110. [Google Scholar] [CrossRef]
  40. Li, D.; Qu, Y.; Wang, B.; Zhang, H.; Qin, L. Spatio-Temporal Expression of Sox2+ Progenitor Cells Regulates the Regeneration of Rat Submandibular Gland. Arch. Oral. Biol. 2024, 168, 106080. [Google Scholar] [CrossRef]
  41. Moreno-Valladares, M.; Moncho-Amor, V.; Silva, T.M.; Garcés, J.P.; Álvarez-Satta, M.; Matheu, A. KRT5+/P63+ Stem Cells Undergo Senescence in the Human Lung with Pathological Aging. Aging Dis. 2023, 14, 1013. [Google Scholar] [CrossRef] [PubMed]
  42. Zuo, W.; Zhang, T.; Wu, D.Z.; Guan, S.P.; Liew, A.-A.; Yamamoto, Y.; Wang, X.; Lim, S.J.; Vincent, M.; Lessard, M.; et al. p63+Krt5+ Distal Airway Stem Cells Are Essential for Lung Regeneration. Nature 2015, 517, 616–620. [Google Scholar] [CrossRef] [PubMed]
  43. Balázs, A.; Millar-Büchner, P.; Mülleder, M.; Farztdinov, V.; Szyrwiel, L.; Addante, A.; Kuppe, A.; Rubil, T.; Drescher, M.; Seidel, K.; et al. Age-Related Differences in Structure and Function of Nasal Epithelial Cultures From Healthy Children and Elderly People. Front. Immunol. 2022, 13, 822437. [Google Scholar] [CrossRef] [PubMed]
  44. Ridley, C.; Thornton, D.J. Mucins: The Frontline Defence of the Lung. Biochem. Soc. Trans. 2018, 46, 1099–1106. [Google Scholar] [CrossRef] [PubMed]
  45. Barjesteh, N.; O’Dowd, K.; Vahedi, S.M. Antiviral Responses against Chicken Respiratory Infections: Focus on Avian Influenza Virus and Infectious Bronchitis Virus. Cytokine 2020, 127, 154961. [Google Scholar] [CrossRef]
  46. Welsh, K.G.; Rousseau, K.; Fisher, G.; Bonser, L.R.; Bradding, P.; Brightling, C.E.; Thornton, D.J.; Gaillard, E.A. MUC5AC and a Glycosylated Variant of MUC5B Alter Mucin Composition in Children With Acute Asthma. Chest 2017, 152, 771–779. [Google Scholar] [CrossRef]
  47. Okuda, K.; Chen, G.; Subramani, D.B.; Wolf, M.; Gilmore, R.C.; Kato, T.; Radicioni, G.; Kesimer, M.; Chua, M.; Dang, H.; et al. Localization of Secretory Mucins MUC5AC and MUC5B in Normal/Healthy Human Airways. Am. J. Respir. Crit. Care Med. 2019, 199, 715–727. [Google Scholar] [CrossRef]
  48. Kesimer, M. Mucins MUC5AC and MUC5B in the Airways: MUCing around Together. Am. J. Respir. Crit. Care Med. 2022, 206, 1055–1057. [Google Scholar] [CrossRef]
  49. Shen, Y.; Huang, S.; Kang, J.; Lin, J.; Lai, K.; Sun, Y.; Xiao, W.; Yang, L.; Yao, W.; Cai, S.; et al. Management of Airway Mucus Hypersecretion in Chronic Airway Inflammatory Disease: Chinese Expert Consensus (English Edition). Int. J. Chronic Obstr. Pulm. Dis. 2018, 13, 399–407. [Google Scholar] [CrossRef]
  50. Cho, H.-Y.; Park, S.; Miller, L.; Lee, H.-C.; Langenbach, R.; Kleeberger, S.R. Role for Mucin-5AC in Upper and Lower Airway Pathogenesis in Mice. Toxicol. Pathol. 2021, 49, 1077–1099. [Google Scholar] [CrossRef]
  51. Singanayagam, A.; Footitt, J.; Kasdorf, B.T.; Marczynski, M.; Cross, M.T.; Finney, L.J.; Torralbo, M.-B.T.; Calderazzo, M.; Zhu, J.; Aniscenko, J.; et al. MUC5AC Drives COPD Exacerbation Severity through Amplification of Virus-Induced Airway Inflammation. bioRxiv 2019, 706804. [Google Scholar] [CrossRef]
  52. Singanayagam, A.; Footitt, J.; Marczynski, M.; Radicioni, G.; Cross, M.T.; Finney, L.J.; Trujillo-Torralbo, M.-B.; Calderazzo, M.; Zhu, J.; Aniscenko, J.; et al. Airway Mucins Promote Immunopathology in Virus-Exacerbated Chronic Obstructive Pulmonary Disease. J. Clin. Investig. 2022, 132, e120901. [Google Scholar] [CrossRef] [PubMed]
  53. Song, D.; Iverson, E.; Kaler, L.; Boboltz, A.; Scull, M.A.; Duncan, G.A. MUC5B Mobilizes and MUC5AC Spatially Aligns Mucociliary Transport on Human Airway Epithelium. Sci. Adv. 2022, 8, eabq5049. [Google Scholar] [CrossRef]
  54. Li, J.; Ye, Z. The Potential Role and Regulatory Mechanisms of MUC5AC in Chronic Obstructive Pulmonary Disease. Molecules 2020, 25, 4437. [Google Scholar] [CrossRef] [PubMed]
  55. Baumlin, N.; Silswal, N.; Dennis, J.S.; Niloy, A.J.; Kim, M.D.; Salathe, M. Nebulized Menthol Impairs Mucociliary Clearance via TRPM8 and MUC5AC/MUC5B in Primary Airway Epithelial Cells. Int. J. Mol. Sci. 2023, 24, 1694. [Google Scholar] [CrossRef] [PubMed]
  56. Grubb, B.R.; Livraghi-Butrico, A.; Rogers, T.D.; Yin, W.; Button, B.; Ostrowski, L.E. Reduced Mucociliary Clearance in Old Mice Is Associated with a Decrease in Muc5b Mucin. Am. J. Physiol.-Lung Cell. Mol. Physiol. 2016, 310, L860–L867. [Google Scholar] [CrossRef]
  57. Hu, Y.; Riemondy, K.; Gao, B.; Hesselberth, J.; Koenigshoff, M.; Evans, C. Overproduction of MUC5B Impairs the Alveolar Repair in COPD. In D108. NEW INSIGHTS IN CELL FATE, REGENERATIVE MEDICINE, iPSCs, AND MSCs; American Thoracic Society International Conference Abstracts; American Thoracic Society: New York, NY, USA, 2022; p. A5483. [Google Scholar]
  58. Kell, D.B.; Heyden, E.L.; Pretorius, E. The Biology of Lactoferrin, an Iron-Binding Protein That Can Help Defend Against Viruses and Bacteria. Front. Immunol. 2020, 11, 1221. [Google Scholar] [CrossRef]
  59. Superti, F. Lactoferrin from Bovine Milk: A Protective Companion for Life. Nutrients 2020, 12, 2562. [Google Scholar] [CrossRef] [PubMed]
  60. Kruzel, M.L.; Zimecki, M.; Actor, J.K. Lactoferrin in a Context of Inflammation-Induced Pathology. Front. Immunol. 2017, 8, 1438. [Google Scholar] [CrossRef]
  61. Gori, A.; Brindisi, G.; Daglia, M.; Giudice, M.M.d.; Dinardo, G.; Di Minno, A.; Drago, L.; Indolfi, C.; Naso, M.; Trincianti, C.; et al. Exploring the Role of Lactoferrin in Managing Allergic Airway Diseases among Children: Unrevealing a Potential Breakthrough. Nutrients 2024, 16, 1906. [Google Scholar] [CrossRef]
  62. Zheng, J.; Xie, Y.; Li, F.; Zhou, Y.; Qi, L.; Liu, L.; Chen, Z. Lactoferrin Improves Cognitive Function and Attenuates Brain Senescence in Aged Mice. J. Funct. Foods 2020, 65, 103736. [Google Scholar] [CrossRef]
  63. Bielajew, B.J.; Hu, J.C.; Athanasiou, K.A. Collagen: Quantification, Biomechanics and Role of Minor Subtypes in Cartilage. Nat. Rev. Mater. 2020, 5, 730–747. [Google Scholar] [CrossRef] [PubMed]
  64. Liu, L.; Stephens, B.; Bergman, M.; May, A.; Chiang, T. Role of Collagen in Airway Mechanics. Bioengineering 2021, 8, 13. [Google Scholar] [CrossRef]
  65. Ulldemolins, A.; Narciso, M.; Sanz-Fraile, H.; Otero, J.; Farré, R.; Gavara, N.; Almendros, I. Effects of Aging on the Biomechanical Properties of the Lung Extracellular Matrix: Dependence on Tissular Stretch. Front. Cell Dev. Biol. 2024, 12, 1381470. [Google Scholar] [CrossRef] [PubMed]
  66. Angelidis, I.; Simon, L.M.; Fernandez, I.E.; Strunz, M.; Mayr, C.H.; Greiffo, F.R.; Tsitsiridis, G.; Ansari, M.; Graf, E.; Strom, T.-M.; et al. An Atlas of the Aging Lung Mapped by Single Cell Transcriptomics and Deep Tissue Proteomics. Nat. Commun. 2019, 10, 963. [Google Scholar] [CrossRef]
  67. Devulder, J.V. Unveiling Mechanisms of Lung Aging in COPD: A Promising Target for Therapeutics Development. Chin. Med. J. Pulm. Crit. Care Med. 2024, 2, 133–141. [Google Scholar] [CrossRef]
  68. Córdoba-Lanús, E.; Cazorla-Rivero, S.; Espinoza-Jiménez, A.; de-Torres, J.P.; Pajares, M.J.; Aguirre-Jaime, A.; Celli, B.; Casanova, C. Telomere Shortening and Accelerated Aging in COPD: Findings from the BODE Cohort. Respir. Res. 2017, 18, 59. [Google Scholar] [CrossRef] [PubMed]
  69. Hsieh, A.; Assadinia, N.; Hackett, T.-L. Airway Remodeling Heterogeneity in Asthma and Its Relationship to Disease Outcomes. Front. Physiol. 2023, 14, 1113100. [Google Scholar] [CrossRef]
  70. Li, F.; Zhi, J.; Zhao, R.; Sun, Y.; Wen, H.; Cai, H.; Chen, W.; Jiang, X.; Bai, R. Discovery of Matrix Metalloproteinase Inhibitors as Anti-Skin Photoaging Agents. Eur. J. Med. Chem. 2024, 267, 116152. [Google Scholar] [CrossRef]
  71. Christopoulou, M.-E.; Papakonstantinou, E.; Stolz, D. Matrix Metalloproteinases in Chronic Obstructive Pulmonary Disease. Int. J. Mol. Sci. 2023, 24, 3786. [Google Scholar] [CrossRef]
  72. Koo, H.-K.; Hong, Y.; Lim, M.N.; Yim, J.-J.; Kim, W.J. Relationship between Plasma Matrix Metalloproteinase Levels, Pulmonary Function, Bronchodilator Response, and Emphysema Severity. Int. J. Chronic Obstr. Pulm. Dis. 2016, 11, 1129–1137. [Google Scholar] [CrossRef] [PubMed]
  73. Li, Y.; Lu, Y.; Zhao, Z.; Wang, J.; Li, J.; Wang, W.; Li, S.; Song, L. Relationships of MMP-9 and TIMP-1 Proteins with Chronic Obstructive Pulmonary Disease Risk: A Systematic Review and Meta-Analysis. J. Res. Med. Sci. 2016, 21, 12. [Google Scholar] [CrossRef] [PubMed]
  74. Dimic-Janjic, S.; Hoda, M.A.; Milenkovic, B.; Kotur-Stevuljevic, J.; Stjepanovic, M.; Gompelmann, D.; Jankovic, J.; Miljkovic, M.; Milin-Lazovic, J.; Djurdjevic, N.; et al. The Usefulness of MMP-9, TIMP-1 and MMP-9/TIMP-1 Ratio for Diagnosis and Assessment of COPD Severity. Eur. J. Med. Res. 2023, 28, 127. [Google Scholar] [CrossRef] [PubMed]
  75. Linder, R.; Rönmark, E.; Pourazar, J.; Behndig, A.F.; Blomberg, A.; Lindberg, A. Proteolytic Biomarkers Are Related to Prognosis in COPD- Report from a Population-Based Cohort. Respir. Res. 2018, 19, 64. [Google Scholar] [CrossRef] [PubMed]
  76. Wells, J.M.; Parker, M.M.; Oster, R.A.; Bowler, R.P.; Dransfield, M.T.; Bhatt, S.P.; Cho, M.H.; Kim, V.; Curtis, J.L.; Martinez, F.J.; et al. Elevated Circulating MMP-9 Is Linked to Increased COPD Exacerbation Risk in SPIROMICS and COPDGene. JCI Insight 2018, 3, e123614. [Google Scholar] [CrossRef] [PubMed]
  77. Prakash, Y.S. Emerging Concepts in Smooth Muscle Contributions to Airway Structure and Function: Implications for Health and Disease. Am. J. Physiol. Lung Cell Mol. Physiol. 2016, 311, L1113–L1140. [Google Scholar] [CrossRef]
  78. Reynold, A.; Panettieri, J.; Kotlikoff, M.I.; Gerthoffer, W.T.; Hershenson, M.B.; Woodruff, P.G.; Hall, I.P.; Banks-Schlegel, S. Airway Smooth Muscle in Bronchial Tone, Inflammation, and Remodeling: Basic Knowledge to Clinical Relevance. Am. J. Respir. Crit. Care Med. 2007, 177, 248. [Google Scholar] [CrossRef]
  79. Wicher, S.A.; Roos, B.B.; Teske, J.J.; Fang, Y.H.; Pabelick, C.; Prakash, Y.S. Aging Increases Senescence, Calcium Signaling, and Extracellular Matrix Deposition in Human Airway Smooth Muscle. PLoS ONE 2021, 16, e0254710. [Google Scholar] [CrossRef]
  80. Behringer, E.J.; Segal, S.S. Impact of Aging on Calcium Signaling and Membrane Potential in Endothelium of Resistance Arteries: A Role for Mitochondria. J. Gerontol. Ser. A Biol. Sci. Med. Sci. 2017, 72, 1627. [Google Scholar] [CrossRef]
  81. Lopes, G.S.; Ferreira, A.T.; Oshiro, M.E.; Vladimirova, I.; Jurkiewicz, N.H.; Jurkiewicz, A.; Smaili, S.S. Aging-Related Changes of Intracellular Ca2+ Stores and Contractile Response of Intestinal Smooth Muscle. Exp. Gerontol. 2006, 41, 55–62. [Google Scholar] [CrossRef]
  82. Cho, S.J.; Stout-Delgado, H.W. Aging and Lung Disease. Annu. Rev. Physiol. 2020, 82, 433–459. [Google Scholar] [CrossRef] [PubMed]
  83. Wan, R.; Srikaram, P.; Guntupalli, V.; Hu, C.; Chen, Q.; Gao, P. Cellular Senescence in Asthma: From Pathogenesis to Therapeutic Challenges. eBioMedicine 2023, 94, 104717. [Google Scholar] [CrossRef] [PubMed]
  84. An, S.S.; Bai, T.R.; Bates, J.H.T.; Black, J.L.; Brown, R.H.; Brusasco, V.; Chitano, P.; Deng, L.; Dowell, M.; Eidelman, D.H.; et al. Airway Smooth Muscle Dynamics: A Common Pathway of Airway Obstruction in Asthma. Eur. Respir. J. 2007, 29, 834. [Google Scholar] [CrossRef] [PubMed]
  85. Aghali, A.; Khalfaoui, L.; Lagnado, A.B.; Drake, L.Y.; Teske, J.J.; Pabelick, C.M.; Passos, J.F.; Prakash, Y.S. Cellular Senescence Is Increased in Airway Smooth Muscle Cells of Elderly Persons with Asthma. Am. J. Physiol.-Lung Cell. Mol. Physiol. 2022, 323, L558. [Google Scholar] [CrossRef] [PubMed]
  86. Yan, J.; Chen, S.; Yi, Z.; Zhao, R.; Zhu, J.; Ding, S.; Wu, J. The Role of P21 in Cellular Senescence and Aging-Related Diseases. Mol. Cells 2024, 47, 100113. [Google Scholar] [CrossRef] [PubMed]
  87. Mijit, M.; Caracciolo, V.; Melillo, A.; Amicarelli, F.; Giordano, A. Role of P53 in the Regulation of Cellular Senescence. Biomolecules 2020, 10, 420. [Google Scholar] [CrossRef]
  88. Kumari, R.; Jat, P. Mechanisms of Cellular Senescence: Cell Cycle Arrest and Senescence Associated Secretory Phenotype. Front. Cell Dev. Biol. 2021, 9, 645593. [Google Scholar] [CrossRef]
  89. Ather, J.L.; Foley, K.L.; Suratt, B.T.; Boyson, J.E.; Poynter, M.E. Airway Epithelial NF-κB Activation Promotes the Ability to Overcome Inhalational Antigen Tolerance. Clin. Exp. Allergy 2015, 45, 1245–1258. [Google Scholar] [CrossRef]
  90. Becker, S.; Mundandhara, S.; Devlin, R.B.; Madden, M. Regulation of Cytokine Production in Human Alveolar Macrophages and Airway Epithelial Cells in Response to Ambient Air Pollution Particles: Further Mechanistic Studies. Toxicol. Appl. Pharmacol. 2005, 207, 269–275. [Google Scholar] [CrossRef]
  91. Wu, Y.-F.; Li, Z.-Y.; Dong, L.-L.; Li, W.-J.; Wu, Y.-P.; Wang, J.; Chen, H.-P.; Liu, H.-W.; Li, M.; Jin, C.-L.; et al. Inactivation of MTOR Promotes Autophagy-Mediated Epithelial Injury in Particulate Matter-Induced Airway Inflammation. Autophagy 2020, 16, 435–450. [Google Scholar] [CrossRef]
  92. Tamargo-Gómez, I.; Mariño, G. AMPK: Regulation of Metabolic Dynamics in the Context of Autophagy. Int. J. Mol. Sci. 2018, 19, 3812. [Google Scholar] [CrossRef] [PubMed]
  93. Tran, S.; Fairlie, W.D.; Lee, E.F. BECLIN1: Protein Structure, Function and Regulation. Cells 2021, 10, 1522. [Google Scholar] [CrossRef] [PubMed]
  94. Chen, L.; Deng, H.; Cui, H.; Fang, J.; Zuo, Z.; Deng, J.; Li, Y.; Wang, X.; Zhao, L. Inflammatory Responses and Inflammation-Associated Diseases in Organs. Oncotarget 2017, 9, 7204–7218. [Google Scholar] [CrossRef]
  95. Ohbayashi, H.; Shimokata, K. Matrix Metalloproteinase-9 and Airway Remodeling in Asthma. Curr. Drug Targets Inflamm. Allergy 2005, 4, 177–181. [Google Scholar] [CrossRef]
  96. Cabral-Pacheco, G.A.; Garza-Veloz, I.; Castruita-De la Rosa, C.; Ramirez-Acuña, J.M.; Perez-Romero, B.A.; Guerrero-Rodriguez, J.F.; Martinez-Avila, N.; Martinez-Fierro, M.L. The Roles of Matrix Metalloproteinases and Their Inhibitors in Human Diseases. Int. J. Mol. Sci. 2020, 21, 9739. [Google Scholar] [CrossRef] [PubMed]
  97. Bonser, L.R.; Erle, D.J. Airway Mucus and Asthma: The Role of MUC5AC and MUC5B. J. Clin. Med. 2017, 6, 112. [Google Scholar] [CrossRef]
  98. Fernanda de Mello Costa, M.; Weiner, A.I.; Vaughan, A.E. Basal-like Progenitor Cells: A Review of Dysplastic Alveolar Regeneration and Remodeling in Lung Repair. Stem Cell Rep. 2020, 15, 1015–1025. [Google Scholar] [CrossRef]
  99. Mikhed, Y.; Daiber, A.; Steven, S. Mitochondrial Oxidative Stress, Mitochondrial DNA Damage and Their Role in Age-Related Vascular Dysfunction. Int. J. Mol. Sci. 2015, 16, 15918–15953. [Google Scholar] [CrossRef]
  100. Campisi, J. Cellular Senescence: Putting the Paradoxes in Perspective. Curr. Opin. Genet. Dev. 2011, 21, 107–112. [Google Scholar] [CrossRef]
  101. Fukumoto, J.; Sidramagowda Patil, S.; Krishnamurthy, S.; Saji, S.; John, I.; Narala, V.R.; Hernández-Cuervo, H.; Alleyn, M.; Breitzig, M.T.; Galam, L.; et al. Altered Expression of P63 Isoforms and Expansion of P63- and Club Cell Secretory Protein-Positive Epithelial Cells in the Lung as Novel Features of Aging. Am. J. Physiol. Cell Physiol. 2019, 316, C492–C508. [Google Scholar] [CrossRef]
  102. Garcia-Vilanova, A.; Olmo-Fontánez, A.M.; Moliva, J.I.; Allué-Guardia, A.; Singh, H.; Merritt, R.E.; Maselli, D.J.; Peters, J.I.; Restrepo, B.I.; Wang, Y.; et al. The Aging Human Lung Mucosa: A Proteomics Study. J. Gerontol. A Biol. Sci. Med. Sci. 2022, 77, 1969–1974. [Google Scholar] [CrossRef] [PubMed]
  103. Giudice, A.M.d.; Gelardi, M.; Marano, P.G.; D’Ecclesia, A.; Campobasso, G.; Cariti, F.; Palumbo, A.; Loglisci, M.; Vincentiis, M.d.; Cassano, M.; et al. The Secretory Senescence of the Airway. J. Gerontol. Geriatr. 2020, 68, 61–68. [Google Scholar] [CrossRef]
  104. Koloko Ngassie, M.L.; De Vries, M.; Borghuis, T.; Timens, W.; Sin, D.D.; Nickle, D.; Joubert, P.; Horvatovich, P.; Marko-Varga, G.; Teske, J.J.; et al. Age-Associated Differences in the Human Lung Extracellular Matrix. Am. J. Physiol.-Lung Cell. Mol. Physiol. 2023, 324, L799–L814. [Google Scholar] [CrossRef]
  105. Navarro, S.; Driscoll, B. Regeneration of the Aging Lung: A Mini-Review. Gerontology 2016, 63, 270–280. [Google Scholar] [CrossRef]
  106. Harvey, B.J.; McElvaney, N.G. Sex Differences in Airway Disease: Estrogen and Airway Surface Liquid Dynamics. Biol. Sex Differ. 2024, 15, 56. [Google Scholar] [CrossRef] [PubMed]
  107. Ekpruke, C.D.; Silveyra, P. Sex Differences in Airway Remodeling and Inflammation: Clinical and Biological Factors. Front. Allergy 2022, 3, 875295. [Google Scholar] [CrossRef]
  108. Reddy, K.D.; Oliver, B.G.G. Sexual Dimorphism in Chronic Respiratory Diseases. Cell Biosci. 2023, 13, 47. [Google Scholar] [CrossRef]
  109. Du, N.; Yang, R.; Jiang, S.; Niu, Z.; Zhou, W.; Liu, C.; Gao, L.; Sun, Q. Anti-Aging Drugs and the Related Signal Pathways. Biomedicines 2024, 12, 127. [Google Scholar] [CrossRef]
  110. Garatachea, N.; Pareja-Galeano, H.; Sanchis-Gomar, F.; Santos-Lozano, A.; Fiuza-Luces, C.; Morán, M.; Emanuele, E.; Joyner, M.J.; Lucia, A. Exercise Attenuates the Major Hallmarks of Aging. Rejuvenation Res. 2015, 18, 57–89. [Google Scholar] [CrossRef]
Figure 1. PRISMA 2020 flow diagram, including only database and register searches. (https://www.prisma-statement.org/) * Records identified from databases mentioned in methods. ** Records excluded according to selection criteria from the methods.
Figure 1. PRISMA 2020 flow diagram, including only database and register searches. (https://www.prisma-statement.org/) * Records identified from databases mentioned in methods. ** Records excluded according to selection criteria from the methods.
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Figure 2. Schematic representation of the key molecular and cellular processes occurring during aging in the respiratory tract. Each histological layer—pseudostratified ciliated epithelium, extracellular matrix (ECM)m submucosa, and smooth muscle—is affected by phenomena such as cellular senescence, telomere shortening, defective autophagy, oxidative stress (ROS), and the senescence-associated secretory phenotype (SASP). These contribute to chronic inflammation, ECM degradation, and tissue remodeling.
Figure 2. Schematic representation of the key molecular and cellular processes occurring during aging in the respiratory tract. Each histological layer—pseudostratified ciliated epithelium, extracellular matrix (ECM)m submucosa, and smooth muscle—is affected by phenomena such as cellular senescence, telomere shortening, defective autophagy, oxidative stress (ROS), and the senescence-associated secretory phenotype (SASP). These contribute to chronic inflammation, ECM degradation, and tissue remodeling.
Ijms 26 05128 g002
Table 1. Results of database and register searches, the records identified from databases mentioned in the Methods section, and those excluded according to selection criteria from the Methods section.
Table 1. Results of database and register searches, the records identified from databases mentioned in the Methods section, and those excluded according to selection criteria from the Methods section.
CriteriaStageCount
1.Records identified20
2.Records removed before screening6
3.Records screened24,765
4.Records excluded18,942
5.Reports sought for retrieval5823
6.Reports not retrieved5
7.Reports assessed for eligibility5818
8.Reports excluded (irrelevant articles)5390
9.Reports excluded (not original/review articles)371
10.Studies included in review57
Table 2. Key molecules and signaling pathways involved in tracheobronchial aging and their functional roles.
Table 2. Key molecules and signaling pathways involved in tracheobronchial aging and their functional roles.
Molecule/PathwayAffected Layer/Cell TypeFunction/Alteration in AgingReference(s)
p53/p21Epithelial cellsSenescence induction, cell cycle arrest[86,87]
p16INK4a/RbBasal epithelial and ASM cellsPermanent growth arrest, tumor suppression[87,88]
NF-κBAll airway layersInflammatory cytokine production (SASP)[89,90]
mTORASM and epithelial cellsImpaired autophagy, altered cell growth[91]
AMPK/Beclin-1Epithelial cellsAutophagy regulation, mitochondrial homeostasis[92,93]
IL-6, IL-8, TNF-αImmune and epithelial cellsChronic inflammation, ECM remodeling[89,94]
MMP-9, MMP-1ECM, cartilageECM degradation, airway remodeling[95,96]
MUC5AC/MUC5BGoblet and secretory cellsMucus overproduction, impaired clearance[97]
SOX2, KRT5, P63Basal progenitor cellsReduced regeneration capacity[41,98]
ROSAll layersOxidative stress, DNA, and mitochondrial damage[98,99]
Table 3. Summary of studies related to tracheobronchial tree aging, with key molecular findings.
Table 3. Summary of studies related to tracheobronchial tree aging, with key molecular findings.
StudyType of ArticleMethodologyModelKey Findings/Molecules
[66]Original articleSingle-cell transcriptomics, proteomicsMouseCollagen IV, XIV, XVI alterations in ECM during aging
[38]Original articlePharmacological, histologicalHuman/animalKRT5+ basal stem cells; aging effects on epithelial repair niches
[101]Original articleIHC, gene profilingAnimalIncreased p63, club cell markers with aging
[102]Original articleProteomics, pathway analysisHumanMMP-8, -9, -10 upregulated with age; ECM remodeling
[103]ReviewLiterature synthesis-Pro-inflammatory cytokines (IL-6, IL-1, TNF-α); secretory senescence
[56]Original articleMucin quantification, ciliary beatAnimalReduced MUC5B in old mice; decreased mucociliary clearance
[104]Original articleTranscriptomics, proteomicsHumanCOL6A1, LUM, FBLN2; structural ECM differences in aging lungs
[41]Original articleIHC, IFHumanSOX2+, KRT5+, P63+ stem cell senescence in aging lung
[105]ReviewLiterature review-Aging effects on lung regeneration and epithelial stem cells
[16]ReviewLiterature review-Molecular basis of lung aging and disease susceptibility
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Salahoru, C.; Hînganu, M.V.; Salahoru, P.; Hînganu, D. Advances in Molecular Research of Tracheobronchial Tree Aging: A Systematic Review. Int. J. Mol. Sci. 2025, 26, 5128. https://doi.org/10.3390/ijms26115128

AMA Style

Salahoru C, Hînganu MV, Salahoru P, Hînganu D. Advances in Molecular Research of Tracheobronchial Tree Aging: A Systematic Review. International Journal of Molecular Sciences. 2025; 26(11):5128. https://doi.org/10.3390/ijms26115128

Chicago/Turabian Style

Salahoru, Constantin, Marius Valeriu Hînganu, Paul Salahoru, and Delia Hînganu. 2025. "Advances in Molecular Research of Tracheobronchial Tree Aging: A Systematic Review" International Journal of Molecular Sciences 26, no. 11: 5128. https://doi.org/10.3390/ijms26115128

APA Style

Salahoru, C., Hînganu, M. V., Salahoru, P., & Hînganu, D. (2025). Advances in Molecular Research of Tracheobronchial Tree Aging: A Systematic Review. International Journal of Molecular Sciences, 26(11), 5128. https://doi.org/10.3390/ijms26115128

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