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Seuthe K, Picard FSR, Winkels H, Pfister R. Cancer Development and Progression in Patients with Heart Failure. Curr Heart Fail Rep 2024:10.1007/s11897-024-00680-y. [PMID: 39340596 DOI: 10.1007/s11897-024-00680-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/21/2024] [Indexed: 09/30/2024]
Abstract
PURPOSE OF REVIEW The co-occurrence of heart failure (HF) and cancer represents a complex and multifaceted medical challenge. Patients with prevalent cardiovascular disease (CVD), particularly HF, exhibit an increased risk of cancer development, raising questions about the intricate interplay between these two prevalent conditions. This review aims to explore the evolving landscape of cancer development in patients with HF, shedding light on potential mechanisms, risk factors, and clinical implications. RECENT FINDINGS Epidemiological data suggests higher cancer incidences and higher cancer mortality in HF patients, which are potentially more common in patients with HF with preserved ejection fraction due to related comorbidities. Moreover, recent preclinical data identified novel pathways and mediators including the protein SerpinA3 as potential drivers of cancer progression in HF patients, suggesting HF as an individual risk factor for cancer development. The review emphasizes preliminary evidence supporting cancer development in patients with HF, which offers several important clinical interventions such as cancer screening in HF patients, prevention addressing both HF and cancer, and molecular targets to treat cancer. However, there is need for more detailed understanding of molecular and cellular cross-talk between cancer and HF which can be derived from prospective assessments of cancer-related outcomes in CV trials and preclinical research of molecular mechanisms.
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Affiliation(s)
- Katharina Seuthe
- Department of Cardiology, Clinic III for Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Strasse 62, 50937, Cologne, Germany.
| | - Felix Simon Ruben Picard
- Department of Cardiology, Clinic III for Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Strasse 62, 50937, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Holger Winkels
- Department of Cardiology, Clinic III for Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Strasse 62, 50937, Cologne, Germany
- Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany
| | - Roman Pfister
- Department of Cardiology, Clinic III for Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Kerpener Strasse 62, 50937, Cologne, Germany
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Menotti A, Puddu PE, Piras P. Cardiovascular Risk Factors Predicting Cardiovascular and Cancer Deaths in a Middle-Aged Population Followed-Up for 61 Years until Extinction. J Cardiovasc Dev Dis 2024; 11:240. [PMID: 39195148 DOI: 10.3390/jcdd11080240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 07/31/2024] [Accepted: 08/02/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND AND AIM To study the relationships of cardiovascular risk factors with cancer and cardiovascular mortality in a cohort of middle-aged men followed-up for 61 years. MATERIALS AND METHODS A rural cohort of 1611 cancer- and cardiovascular disease-free men aged 40-59 years was examined in 1960 within the Italian Section of the Seven Countries Study, and 28 risk factors measured at baseline were used to predict cancer (n = 459) and cardiovascular deaths (n = 678) that occurred during 61 years of follow-up until the extinction of the cohort with Cox proportional hazard models. RESULTS A model with 28 risk factors and cancer deaths as the end-point produced eight statistically significant coefficients for age, smoking habits, mother early death, corneal arcus, xanthelasma and diabetes directly related to events, and arm circumference and healthy diet inversely related. In the corresponding models for major cardiovascular diseases and their subgroups, only the coefficients of age and smoking habits were significant among those found for cancer deaths, to which healthy diet can be added if considering coronary heart disease alone. Following a competing risks analysis by the Fine-Gray method, risk factors significantly common to both conditions were only age, smoking, and xanthelasma. CONCLUSIONS A sizeable number of traditional cardiovascular risk factors were not predictors of cancer death in a middle-aged male cohort followed-up until extinction.
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Affiliation(s)
| | - Paolo Emilio Puddu
- Association for Cardiac Research, 00182 Rome, Italy
- EA 4650, Signalisation, Électrophysiologie et Imagerie des Lésions D'ischémie Reperfusion Myocardique, Normandie Université, UNICAEN, 14000 Caen, France
| | - Paolo Piras
- Department of Structural Engineering, Sapienza University of Rome, 00185 Rome, Italy
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Zhang C, Li Y, Yan C, Yu H, Zhang X. Mendelian randomization analyses reveal causal relationship between liver volume and stroke. J Stroke Cerebrovasc Dis 2024; 33:107752. [PMID: 38701939 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 04/26/2024] [Accepted: 04/30/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Observational studies have suggested a potential association between abdominal viscera volume and increased risk of stroke. However, the causal relationship remains unclear. This study aims to utilize Mendelian randomization (MR) to explore the genetic causal relationship between them. METHODS We conducted MR analysis to study the causal effects of five abdominal viscera volumes on stroke. The genetic variations of abdominal viscera volume were obtained from the UK Biobank, and the summary data for stroke and ischemic stroke were acquired from the MEGASTROKE consortium. This study employed inverse variance weighting (IVW), MR Egger, and weighted median methods. IVW served as the primary MR analysis method, supplemented by other sensitivity analyses to validate the robustness of the results. RESULTS We found that liver volume can causally increase the risk of stroke [odds ratio (OR): 1.13, 95 % confidence interval (CI): 1.03-1.25, P = 0.013] and ischemic stroke (OR: 1.14, 95 % CI: 1.03-1.26, P = 0.012). No causal relationships between other abdominal viscera volumes and stroke and ischemic stroke appeared to be present (P > 0.05). Sensitivity analyses confirmed the robustness of the results. CONCLUSION Our research findings indicate a causal relationship between liver volume and stroke, highlighting the potential role of liver volume in the onset of stroke. However, further basic and clinical research is needed to delve into the specific mechanisms underlying the relationship between liver volume and stroke, and to implement interventions aimed at reducing the impact of liver volume on stroke risk.
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Affiliation(s)
- Changyun Zhang
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - YuQiu Li
- Shandong university of traditional Chinese medicine, Jinan, Shandong, China
| | - Chuanzhu Yan
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Huijuan Yu
- Shandong university of traditional Chinese medicine, Jinan, Shandong, China
| | - Xin Zhang
- Shandong university of traditional Chinese medicine, Jinan, Shandong, China.
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Yau STY, Leung E, Wong MCS, Hung CT, Chong KC, Lee A, Yeoh EK. Metabolic dysfunction-associated profiles and subsequent site-specific risk of obesity-related cancers among Chinese patients with diabetes: a retrospective cohort study. BMJ Open 2024; 14:e082414. [PMID: 38569684 PMCID: PMC11146369 DOI: 10.1136/bmjopen-2023-082414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 03/13/2024] [Indexed: 04/05/2024] Open
Abstract
OBJECTIVES To compare metabolic dysfunction-associated profiles between patients with diabetes who developed different obesity-related site-specific cancers and those who remained free of cancer during follow-up. DESIGN Retrospective cohort study. SETTING Public general outpatient clinics in Hong Kong. PARTICIPANTS Patients with diabetes without a history of malignancy (n=391 921). PRIMARY OUTCOME MEASURES The outcomes of interest were diagnosis of site-specific cancers (colon and rectum, liver, pancreas, bladder, kidney and stomach) during follow-up. Cox proportional hazards regression was applied to assess the associations between metabolic dysfunction and other clinical factors with each site-specific cancer. RESULTS Each 0.1 increase in waist-to-hip ratio was associated with an 11%-35% elevated risk of colorectal, bladder and liver cancers. Each 1% increase in glycated haemoglobin was linked to a 4%-9% higher risk of liver and pancreatic cancers. While low-density lipoprotein cholesterol and triglycerides were inversely associated with the risk of liver and pancreatic cancers, high-density lipoprotein cholesterol was negatively associated with pancreatic, gastric and kidney cancers, but positively associated with liver cancer. Furthermore, liver cirrhosis was linked to a 56% increased risk of pancreatic cancer. No significant association between hypertension and cancer risk was found. CONCLUSIONS Metabolic dysfunction-associated profiles contribute to different obesity-related cancer outcomes differentially among patients with diabetes. This study may provide evidence to help identify cancer prevention targets during routine diabetes care.
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Affiliation(s)
- Sarah Tsz Yui Yau
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Eman Leung
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Martin Chi Sang Wong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Chi Tim Hung
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Ka Chun Chong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Albert Lee
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Eng Kiong Yeoh
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
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Yuzhalin AE. Redefining cancer research for therapeutic breakthroughs. Br J Cancer 2024; 130:1078-1082. [PMID: 38424166 PMCID: PMC10991368 DOI: 10.1038/s41416-024-02634-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/13/2024] [Accepted: 02/20/2024] [Indexed: 03/02/2024] Open
Abstract
Cancer research has played a pivotal role in improving patient outcomes. However, despite the significant investment in fundamental cancer research over the past few decades, the translation of funding into substantial advancements in cancer treatment has been limited. This perspective article employs a detailed analysis to outline strategies for promoting innovation and facilitating discoveries within the field of cancer research.
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Affiliation(s)
- Arseniy E Yuzhalin
- Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
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Grison S, Braga-Tanaka II, Baatout S, Klokov D. In utero exposure to ionizing radiation and metabolic regulation: perspectives for future multi- and trans-generation effects studies. Int J Radiat Biol 2024; 100:1283-1296. [PMID: 38180060 DOI: 10.1080/09553002.2023.2295293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 11/03/2023] [Accepted: 11/22/2023] [Indexed: 01/06/2024]
Abstract
PURPOSE The radiation protection community has been particularly attentive to the risks of delayed effects on offspring from low dose or low dose-rate exposures to ionizing radiation. Despite this, the current epidemiologic studies and scientific data are still insufficient to provide the necessary evidence for improving risk assessment guidelines. This literature review aims to inform future studies on multigenerational and transgenerational effects. It primarily focuses on animal studies involving in utero exposure and discusses crucial elements for interpreting the results. These elements include in utero exposure scenarios relative to the developmental stages of the embryo/fetus, and the primary biological mechanisms responsible for transmitting heritable or hereditary effects to future generations. The review addresses several issues within the contexts of both multigenerational and transgenerational effects, with a focus on hereditary perspectives. CONCLUSIONS Knowledge consolidation in the field of Developmental Origins of Health and Disease (DOHaD) has led us to propose a new study strategy. This strategy aims to address the transgenerational effects of in utero exposure to low dose and low dose-rate radiation. Within this concept, there is a possibility that disruption of epigenetic programming in embryonic and fetal cells may occur. This disruption could lead to metabolic dysfunction, which in turn may cause abnormal responses to future environmental challenges, consequently increasing disease risk. Lastly, we discuss methodological limitations in our studies. These limitations are related to cohort size, follow-up time, model radiosensitivity, and analytical techniques. We propose scientific and analytical strategies for future research in this field.
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Affiliation(s)
- Stéphane Grison
- PSE-SANTE, Institut de Radioprotection et de Sûreté Nucléaire, Fontenay-aux-Roses, France
| | - Ignacia Iii Braga-Tanaka
- Department of Radiobiology, Institute for Environmental Sciences (IES), Rokkasho Kamikita, Aomori, Japan
| | - Sarah Baatout
- Belgian Nuclear Research Centre, SCK CEN, Institute of Nuclear Medical Applications, Mol, Belgium
- Department of Molecular Biotechnology (BW25) and Department of Human Structure and Repair (GE38), Ghent University, Ghent, Belgium
| | - Dmitry Klokov
- PSE-SANTE, Institut de Radioprotection et de Sûreté Nucléaire, Fontenay-aux-Roses, France
- Department of Microbiology, Microbiology and Immunology, University of Ottawa, Ottawa, Ontario, Canada
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Luo L, Vart P, Kieneker LM, van der Vegt B, Bakker SJL, Gruppen EG, Casteleijn NF, de Boer RA, Suthahar N, de Bock GH, Aboumsallem JP, Gansevoort RT. Mediators of the association between albuminuria and incident cancer: the PREVEND study. Clin Kidney J 2024; 17:sfad295. [PMID: 38213496 PMCID: PMC10783233 DOI: 10.1093/ckj/sfad295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Indexed: 01/13/2024] Open
Affiliation(s)
- Li Luo
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Priya Vart
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Lyanne M Kieneker
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bert van der Vegt
- Department of Pathology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Stephan J L Bakker
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Eke G Gruppen
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Niek F Casteleijn
- Department of Urology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rudolf A de Boer
- Erasmus MC, Cardiovascular Institute, Thorax Center, Department of Cardiology, Rotterdam, The Netherlands
| | - Navin Suthahar
- Erasmus MC, Cardiovascular Institute, Thorax Center, Department of Cardiology, Rotterdam, The Netherlands
| | - Geertruida H de Bock
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Joseph Pierre Aboumsallem
- Erasmus MC, Cardiovascular Institute, Thorax Center, Department of Cardiology, Rotterdam, The Netherlands
| | - Ron T Gansevoort
- Department of Nephrology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Bai J, Li J, Lv J, Yang W, Wang Y, Feng Y, Lv Z. The new clinical classification of metastatic spinal malignancies serves as a vital reference for surgical management: a retrospective case-control study. BMC Musculoskelet Disord 2023; 24:956. [PMID: 38066483 PMCID: PMC10704627 DOI: 10.1186/s12891-023-07092-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Accepted: 12/03/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND It is commonly accepted that surgical treatment is an essential component of the comprehensive management of metastatic spinal malignancies. However, up until now, the clinical classification of metastatic spinal malignancies has not been well-structured. METHODS After IRB approval, 86 patients with metastatic spinal malignancies were adopted. According to the vascular distribution, stability of vertebrae, and degree of nerve compression, metastatic spinal malignancies can be classified into five types. Tumors classified as type I typically appear in the vertebral body. Type II tumors are those that develop in the transverse processes, superior and inferior articular processes, and spinal pedicles. Type III denotes malignancies that are present in the spinous process and vertebral plate. Types IVa and IVb are included in type IV. Type IVa combines type I and type II, whereas type IVb combines type II and type III. Type V tumors are those of types I, II, and III that co-occur and spread in different directions into the spinal canal. 20 of included 86 patients who did not receive segmental arterial embolization were set as the non-embolization group. The embolization group included 24 patients who received segmental arterial embolization on both sides of the diseased vertebrae. 42 patients were included in the offending embolization group after receiving responsible arterial embolization. A surgical intervention was performed within 24 h following an embolization. Surgical intervention with the purpose of removing as much of the tumor as possible and providing an effective reconstruction of the spinal column. RESULTS In comparison with the non-embolization group and embolization group, the offending embolization group presented unique advantages in terms of bleeding volume (p<0.001), operation time (p<0.001), and local recurrence rate within 12 months (p=0.006). CONCLUSION By significantly reducing surgical trauma and local recurrence rate (12 months), responsible arterial vascular embolization procedures together with associated surgical protocols developed on the basis of the clinical classification of metastatic spinal malignancies, are worthy of clinical dissemination.
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Affiliation(s)
- Junjun Bai
- Department of Orthopaedics, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Jian Li
- Department of Orthopaedics, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China
| | - Jia Lv
- Department of Orthopaedics, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Wangzhe Yang
- Department of Orthopaedics, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Yushan Wang
- Department of Orthopaedics, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Yi Feng
- Department of Orthopaedics, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
| | - Zhi Lv
- Department of Orthopaedics, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
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Sufyan M, Shokat Z, Ashfaq UA. Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective. Comput Biol Med 2023; 165:107356. [PMID: 37688994 DOI: 10.1016/j.compbiomed.2023.107356] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 07/21/2023] [Accepted: 08/12/2023] [Indexed: 09/11/2023]
Abstract
Artificial intelligence (AI) in healthcare plays a pivotal role in combating many fatal diseases, such as skin, breast, and lung cancer. AI is an advanced form of technology that uses mathematical-based algorithmic principles similar to those of the human mind for cognizing complex challenges of the healthcare unit. Cancer is a lethal disease with many etiologies, including numerous genetic and epigenetic mutations. Cancer being a multifactorial disease is difficult to be diagnosed at an early stage. Therefore, genetic variations and other leading factors could be identified in due time through AI and machine learning (ML). AI is the synergetic approach for mining the drug targets, their mechanism of action, and drug-organism interaction from massive raw data. This synergetic approach is also facing several challenges in data mining but computational algorithms from different scientific communities for multi-target drug discovery are highly helpful to overcome the bottlenecks in AI for drug-target discovery. AI and ML could be the epicenter in the medical world for the diagnosis, treatment, and evaluation of almost any disease in the near future. In this comprehensive review, we explore the immense potential of AI and ML when integrated with the biological sciences, specifically in the context of cancer research. Our goal is to illuminate the many ways in which AI and ML are being applied to the study of cancer, from diagnosis to individualized treatment. We highlight the prospective role of AI in supporting oncologists and other medical professionals in making informed decisions and improving patient outcomes by examining the intersection of AI and cancer control. Although AI-based medical therapies show great potential, many challenges must be overcome before they can be implemented in clinical practice. We critically assess the current hurdles and provide insights into the future directions of AI-driven approaches, aiming to pave the way for enhanced cancer interventions and improved patient care.
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Affiliation(s)
- Muhammad Sufyan
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan.
| | - Zeeshan Shokat
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan.
| | - Usman Ali Ashfaq
- Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Pakistan.
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Jaramillo-Rangel G, Chávez-Briones MDL, Ancer-Arellano A, Miranda-Maldonado I, Ortega-Martínez M. Back to the Basics: Usefulness of Naturally Aged Mouse Models and Immunohistochemical and Quantitative Morphologic Methods in Studying Mechanisms of Lung Aging and Associated Diseases. Biomedicines 2023; 11:2075. [PMID: 37509714 PMCID: PMC10377355 DOI: 10.3390/biomedicines11072075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/17/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023] Open
Abstract
Aging-related molecular and cellular alterations in the lung contribute to an increased susceptibility of the elderly to devastating diseases. Although the study of the aging process in the lung may benefit from the use of genetically modified mouse models and omics techniques, these approaches are still not available to most researchers and produce complex results. In this article, we review works that used naturally aged mouse models, together with immunohistochemistry (IHC) and quantitative morphologic (QM) methods in the study of the mechanisms of the aging process in the lung and its most commonly associated disorders: cancer, chronic obstructive pulmonary disease (COPD), and infectious diseases. The advantage of using naturally aged mice is that they present characteristics similar to those observed in human aging. The advantage of using IHC and QM methods lies in their simplicity, economic accessibility, and easy interpretation, in addition to the fact that they provide extremely important information. The study of the aging process in the lung and its associated diseases could allow the design of appropriate therapeutic strategies, which is extremely important considering that life expectancy and the number of elderly people continue to increase considerably worldwide.
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Affiliation(s)
- Gilberto Jaramillo-Rangel
- Department of Pathology, School of Medicine, Autonomous University of Nuevo León, Monterrey 64460, Mexico
| | | | - Adriana Ancer-Arellano
- Department of Pathology, School of Medicine, Autonomous University of Nuevo León, Monterrey 64460, Mexico
| | - Ivett Miranda-Maldonado
- Department of Pathology, School of Medicine, Autonomous University of Nuevo León, Monterrey 64460, Mexico
| | - Marta Ortega-Martínez
- Department of Pathology, School of Medicine, Autonomous University of Nuevo León, Monterrey 64460, Mexico
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