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Physiological parameters of the isolated perfused mouse lung and their dependency on age

Abstract

BACKGROUND: The “Isolated lung perfusion system” has been established to study lung physiological parameters of mice or other small animals, but little is known about the influence of age on the lung function in mice.

METHODS: We used a buffer-perfused lung system with negative-pressure ventilation to study the effect of age on physiological parameters in the isolated mouse lung. Our study included C57BL/6N mice when they were young (3 to 4 months), adult (5 to 9 months) or old (24 months).

RESULTS: The ex vivo data indicated that maximal function of the lung is achieved in the early adulthood (5 to 6 months of age). In this period, lung developed highest maximal expiratory flow rate which declined steadily with increasing age. After this age (>7 months) the dynamic lung compliance increased with significant changes in the 24-month-old mice. However, mouse age had no effect on airway resistance and pulmonary artery pressure. Moreover, we did not find an influence of age on the integrity of the endothelial-epithelial barrier.

CONCLUSION: Our findings indicate the importance of age, in particular on the respiratory mechanics in isolated mouse lungs, which should be considered in the pulmonary research using the “Isolated lung perfusion system”.

Abbreviations

ANOVA

analysis of variance

BAL

broncho-alveolar lavage

Cdyn

dynamic lung compliance

F

air flow

KHL

Krebs-Henseleit

MIF

maximal inspiratory flow

MEF

maximal expiratory flow

Rdyn

dynamic airway resistance

SD

standard deviation

TNF-α

tumor necrosis factor-α

TRITC

tetramethyl-rhodamine-5-(and 6)-isothiocyanate

VT

tidal volume

1Introduction

Mice are important tools to investigate the effect of substances, pathogens and diseases on the respiratory function in combination with genetic variations or active genetic manipulations. Moreover, there is an increasing interest in studying the basal or additive effect of normal aging processes on the respiratory function of mice [1, 2]. Non-invasive and invasive methods are available, which can assess physiological parameters of the respiratory system in mice [3–5]. In this regard, the noninvasive whole body plethysmography and two invasive technologies using a pre-programmed ventilator each are currently applied [5].

The respiratory system includes upper airways, lung with lower airways (i.e. lung parenchyma) and thoracic cage with the respiratory muscles. In some experimental issues, such as the lung vascular effects of acute hypoxia [6], or the mechanical effect of lung-related genetic modifications [7], it is desirable to investigate specifically physiological parameters of the lung without simultaneous effect of the thoracic cage. In other approaches, it is also desirable to exclude the influence of other organs and/or the immune system. The “Isolated lung perfusion system” for mice and other small or larger animals which operates with either positive- or negative-pressure ventilation, is preferred to test new substances ex vivo for their action and toxicity prior to their application in vivo. Despite some limitations, such as the relatively short measurement time and replacement of blood by perfusion buffer, it allows continuous monitoring of several physiological lung parameters. Depending on the individual equipment of the perfusion system this can be lung compliance and airway resistance as main parameters of the respiratory mechanics as well as the pulmonary vascular resistance, edema formation and gas exchange.

Lung physiological parameters measured in mice are dependent on their genetic background [8–10]. Also, the age of mice might significantly influence respiratory mechanics, pulmonary circulation and other physiological parameters due to morphological changes of the lung during growth and aging. Morphological changes mainly include alterations in number, structure and size of the lower airways and alveoli, vessel density and elasticity of the extracellular matrix [11–15]. Although these age-related changes are mainly described for human and rat, they seem to be similar in mouse lung [16–20]. The altered ratio of lung weight to body weight with increasing somatic growth and eventually age-related cachexia is also to consider in experimental settings and data interpretation [16, 21].

Little is known about age-related physiological changes in the mouse lung under normal and/or hyperventilated conditions. However, this information might be useful for designing and interpreting physiological studies using isolated mouse lungs. Most laboratories working with the “Isolated lung perfusion system” apply low tidal volume conditions for up to three hours because long-term ventilations at higher tidal volume cause damage of the mouse lung tissue [22, 23]. This again impairs the validity of data as well as the quality of lung tissue for post-analyses. Therefore, our present study aimed at the analysis of basic physiological parameters of the lung from growing, adult and old mice by use of the “Isolated lung perfusion system” ventilated at normal breathing conditions. In additions, we aimed at the identification of potential weaknesses of the “Isolated lung perfusion system” when used for mice of very different ages.

2Methods

2.1Animals

Mice with C57BL/6N background (Charles River, Sulzfeld, Germany) were investigated at different ages in this study (Table 1). All mice were housed in polycarbonate cages (550 cm2 area; Ehret, Emmendingen, Germany) at standard housing conditions (21°C, 45–60% humidity, 12:12 light:dark cycle, and they were regularly controlled for state of health. Out of the mice originally kept for lung investigations at advanced age, only 60% reached the age of 24 months. This animal study was performed in accordance with the guidelines approved by the local Animal Care Usage Committee, Halle (Saale).

2.2Lung function

The “Isolated lung perfusion system” for mouse (Hugo Sachs Elektronik-Harvard Apparatus) was used to study the ex vivo respiratory function. The mice were anesthetized intraperitonally with ketamine and xylazin (20 μg each. kg −1 body weight) and placed in the artificial thoracic chamber. Then, the trachea was cannulated to provide constant positive-pressure ventilation (90 breaths·min −1) with room air. After abdominal incision and transdiaphragmic injection of sodium heparin (25 units) into the heart, the mouse was exsanguinated by transection of the vena cava. The subdiaphragmic part and the anterior chest plate were excised and discarded. The pulmonary artery was cannulated to provide a constant perfusion flow of the lung vascular bed. Krebs-Henseleit (KHL) buffer (Sigma-Aldrich, Steinheim, Germany) supplemented with 0.1% glucose, 0.3% HEPES and 2% bovine serum albumin (BSA) fraction V (AppliChem, Darmstadt, Germany) was used as perfusion buffer. This buffer was oxygenated with carbogen (5% CO2, 95% O2) to yield a pH of 7.4 and passed by means of a roller pump at constant flow (1 ml·min −1). After starting the perfusion via the pulmonary artery, the left ventricle was immediately opened with a small incision at the apex of the heart to allow the efflux of the perfusate. The left atrium was cannulated by passing the cannula through apex and mitral valve. The respiratory mechanics and perfusate characteristics were continuously acquired by the PULMODYN ® Pulmonary Mechanics Data Acquisition software (Hugo Sachs Elektronik-Harvard Apparatus). The lid of the artificial thoracic chamber was closed, and the ventilation was switched to negative pressure ventilation (90 breaths·min −1) with regular induction of a deep inspiration (one augmented breath after four minutes). KHL perfusion buffer and isolated lung were maintained at 37°C throughout the experiment by use of a circulatory water bath. In all cases, we applied a constant end-expiratory pressure of −2 cm H2O and a variable inspiratory pressure (−8 to −11 cm H2O) in the artificial thoracic chamber (corresponds to the minimal and maximal negative pleural pressure (Ppleu), respectively) to reach a tidal volume (VT) of 7 μl·g −1 body weight. After an equilibration period of 20 min, the lung physiological data were recorded for 90 min. Figure 1 shows the raw data of five breathing cycles of a selected experiment for the airflow (F), VT, Ppleu and pulmonary artery pressure (PAP). Dynamic airway resistance at 70% VT (Rdyn) and dynamic lung compliance at zero air flow (Cdyn) were calculated simultaneously according to the given equations (Fig. 1).

At the end of each experiment, lung was perfused with KHL buffer containing 1 mg·ml −1 tetramethylrhodamine-5-(and 6)-isothiocyanate (TRITC)-labeled dextran (65–85 kDa; Sigma-Aldrich, Steinheim, Germany) to determine the vascular permeability. TRITC-labeled dextran-containing buffer was replaced after 7 min by standard KHL buffer and the perfusion was continued for further 3 min. Thereafter, the lung was lavaged three-times with 0.5 ml saline via the cannulated trachea. The broncho-alveolar lavage (BAL) fluids were pooled, centrifuged for cell removal and stored at −80°C for further analysis.

2.3BAL analysis

Lung vascular permeability was determined by quantifying TRITC-labeled dextran in the BAL fluid per TRITC-dextran standard series (550 nm excitation, 590 nm emission) using the infinite ® M1000 fluorescence reader (Tecan, Grödig, Austria). Total protein was determined with the BCA Protein Assay Reagent kit (Pierce, Rockford, IL) and tumor necrosis factor-α (TNF-α) with the mouse TNF-α ELISA Ready-SET-Go kit (eBioscience, Frankfurt, Germany) according to manufactures’ instructions.

2.4Statistical analysis

Data are reported as mean ± standard deviation (SD) or as median with range or individual data. Data presentations and statistical calculations were performed by use of the SigmaPlot 10 and SigmaStat 3.5 softwares (Systat Software Inc., San Jose, CA). The one-way analysis of variance (ANOVA) procedure followed by Student-Newman-Keuls method or, in the case of non-parametric data, the one-way ANOVA procedure on Ranks followed by Dunn‘s method was applied as statistical test. P values <0.05 indicate a significant difference between the groups.

3Results

Lung physiological parameters of C57BL/6N mice were studied ex vivo by use of a buffer-perfused lung system which operates with negative-pressure ventilation similar to in vivo conditions. As listed in Table 1, we studied mice when they were young (3 to 4 months), adult (5 to 9 months) or old (24 months). The terms “young”, “adult” and “old” have been assigned according to both biological age and weight development of the mice (Table 1). Our age groups comprised female and male mice in different numbers (Table 1), however, in contrast to the whole respiratory system [10], no sex-dependent differences in the biomechanics of the isolated lung could be identified [7]. In order to avoid inhomogeneity in ventilation due to differences in the lung size, all lungs were ventilated constantly at a body weight-adapted VT. Although it does not absolutely ensure the same air volume in the lung in relation to the total lung capacity, the VT adjustment according to the body weight is still the best method to reach similar ventilations and, therefore, it is applied by most groups [6, 22, 24, 25].

Due to age-related differences in the body weight (Table 1), the experimental VT was lower in young mice than in adult and old mice (Fig. 2A). Moreover, dynamic compliance (Cdyn) of isolated mouse lungs was dependent on age. As shown in Fig. 2B, Cdyn remained constant for mice between 3 and 6 month of age but increased at higher ages with significant changes in 24-month-old mice. In comparison to static lung compliance (Cstat), Cdyn is also a function of the resistive force (R·F), which needs to be overcome. Since Cdyn is computed when the air flow is zero (Fig. 1), the calculation of Cdyn corresponds with the Cstat calculation [26]. Moreover, the dynamic airway resistance (Rdyn) was only moderately influenced by age with slight reduction in lungs from old mice as compared to adult mice (Fig. 2C).

Peak flow analyses showed that the maximal expiratory flow (MEF) at weight-adapted VT was lower in the youngest age group than in the other age groups (Fig. 3A). Since youngest mice were also ventilated with the lowest VT, our data indicate a relationship between MEF and lung volume. In growing humans, this relationship was described by the power law equation: MEF =a lung volume (V) b [27–29]. Therefore, we analysed the relation between MEF and weight-adapted VT applied for ventilation in our isolated mouse lungs. Regression analyses calculated the exponent b (slope of the regression) with 0.534 for all mice (Fig. 3B). Subsequent correction of the MEF data by the individual VT 0.534 revealed no significant differences between the age groups but still indicated highest MEF in 4- to 6-month-old mice (Fig. 3C). However, age-dependent subgroup analyses calculated different exponents for the relation between MEF and VT with highest values for the young mice (Fig. 3B). Since the airway resistance was less influenced (Fig. 2C), we then normalized the MEF per maximal inspiratory flow (MIF), which was independent of age (data not shown). This MIF-corrected MEF was highest in isolated lungs from 5-month-old mice as compared to lungs from younger mice and decreased steadily with increasing age (Fig. 3D).

Our buffer-perfused lung system also allowed the detection of the mean perfusion pressure in pulmonary arteries, but these measurements did not reveal a significant effect of age (Fig. 4). The integrity of the endothelial-epithelial barrier was assessed by detection of TRITC-labelled dextran in the BAL, which was added to the perfusate shortly before. The quantification of diffused TRITC-labelled dextran did not indicate an influence of age on the lung vascular permeability and, therefore, edema formation in the isolated mouse lungs (Table 2). This observation was also confirmed by an unchanged protein concentration in the BAL fluid (Table 2). Moreover, we did not find an influence of mouse age on the BAL concentration of TNF-α released from the lung cells before and/or during the experiment (Table 2).

4Discussion

Using the “Isolated lung perfusion system” we demonstrated that growth and aging is associated with biomechanical changes of the mouse lung under normal breathing conditions. Despite some disadvantages of this ex vivo system, age-related changes have been particularly observed for the relative maximal expiratory flow rate and lung compliance, whereas perfusion flow and vascular permeability were not influenced by age. Changes in the biomechanical parameters indicated that maximal function of the lung is achieved in the early adulthood (5 to 6 months of age).

Developmental alveolarization (i.e. septal anlage) of the mouse lung is completed after about one month of age but growth of the lung parenchyma still continuous for more than two months [16, 20]. Due to concurrent changes in the somatic growth, the ratio of lung weight to body weight is gradually lowered with increasing age [16]. Since previous studies only analysed the development of mouse lungs in the first weeks after birth, it is difficult to assess when the ratio of lung weight to body weight reaches constant levels [16, 20]. According to plethysmographic investigations of growing mice, the inspiratory VT is constant at the age of 3 months [10, 30], but at this age the body weight has not yet reached its maximum. Our own measurements in another study indicate a constant ratio of lung weight and body weight when C57BL/6N mice are between 4 to 4.5 months old (unpublished data). Since the buffer-perfused system for mouse lung, in which the lung remains in the opened thoracic cage, does not allow the measurement of the lung weight, a lung weight-adapted VT could also not be used. This is a disadvantage when investigating mice of very different ages with the negative pressure-based “Isolated lung perfusion system” or with other technologies, which are based on the weight-adapted respiratory volume. Consequently, the experimental VT values we applied for lungs from young mice were probably lower in relation to their total lung capacity in vivo than in lungs from adult mice. Similar inaccuracy may have occurred for the VT values in old mice due to the weight loss with advanced age. This fact might influence some of our findings, in particular the MEF data, which depend on the respiratory volume used for ventilation of mice [31]. Despite this disadvantage, it is important to note that studies at the weight-adapted VT might still be preferred by most researchers because they ensure at least similar lung ventilations per total lung capacity.

Analysis of growing humans suggested that the MEF positively correlates with the lung volume b where the exponent b is between 0.67 and 1.0 [29]. Although our study based on the weight-adapted VT, we also calculated an exponent b >0.67 for isolated lungs of young mice but lower values for lungs of adult and old mice. Since the relationship of MEF and weight-adapted VT is influenced by age, a general correction of the MEF per weight-adapted VT is not absolutely exact. Nevertheless, the VT-corrected MEF indicated maximal expiratory lung function in the early adulthood (5 to 6 months of age). The maximum expiratory function of the isolated lung is also indicated by the highest MEF in relation to the MIF in this age. Our observations are partially in contrast to findings of whole-body plethysmographic investigations of growing mice showing either no changes or a parallel increase of MEF and MEF between 2.5-week-old and 6-month-old mice [10, 30]; however, this discrepancy may result from different airflows between the isolated lung and the total respiratory system.

Like VT-mediated correction of the MEF, its correction per MIF might also not be useful in all regards, especially when the airway resistance is increased [32, 33]. However, the resistance of conducting airways was even moderately reduced at advanced age in our and other mouse studies [1, 2] thereby suggesting no significant obstruction of the airflow with increasing age in mice. Since animal studies investigating rat lungs identified an age-dependent increase of the airway resistance first after inhalation of methacholine, which provokes bronchoconstriction [34], it is well conceivable that the methacholine challenge can only show an adverse effect of age on the resistance of conducting airways. Nevertheless, human studies have also indicated a rather small or even no dependency of the airway resistance on age as well [35–39].

Ageing of the respiratory system causes more problems with the expiration than inspiration [40]. This is reported in many human studies [37, 39, 41–50] and in few mouse studies as well [1, 2, 51]. If the lung volume is nearly constant the expiratory flow is mainly determined by the airway resistance and elastic properties of the lung. Since our findings did not indicate an age-related airway obstruction in mice, changes in the elastic recoil pressure seem mainly to be responsible for the reduced MEF in relation to MIF [52]. In this regard, the MIF-corrected MEF values showed a steady decline after reaching their maximum in the early adulthood of mice. This coincides with many studies exhibiting reduced elastic recoil of the lung (i.e. transpulmonary pressure) in humans [37, 42, 46, 49]. Although the respiratory musculature does not play a role when studying isolated lungs, the age-dependency of the MIF-corrected MEF shown for our isolated mouse lungs coincides with many human studies exhibiting highest forced expiratory flow rates in the early adulthood and subsequent decline with increasing age [39, 41, 44, 45, 47].

Changes in the lung elastic recoil are attributed to quantitative and qualitative changes in the extracellular matrix of the lung parenchyma, in particular elastin [53]. While in growing mice the high expression rate of elastin might contribute to the high elasticity, in aged mice qualitative changes of elastin significantly might impair the elastic recoil of the lung [53]. Moreover, quantitative and qualitative changes of collagen are suggested to alter the elastic property of the lung parenchyma in an age-dependent manner [54, 55]. Age-dependent changes in the lung elasticity are also demonstrated in our ex vivo study by the higher compliance of isolated mouse lungs with increasing age. The age-dependent increase in either static or dynamic lung compliance has also been shown in other mouse studies [1, 2, 51] as well as in human studies [39, 48]. Although increased lung compliance can also be caused by greater lung volumes, for instance due to alveolar dilation [15], parallel age-related changes in the MIF-corrected MEF again indicate the pivotal role of the reduced lung elasticity in old mice. Surprisingly, lung compliance was nearly as high in 9-month-old mice as in 24-month-old mice, and also the MIF-corrected MEF was not significantly different between 9- and 24-month-old mice. Since only a part of the mice reaches the age of 24 months, this discrepancy could result from the positive selection of old mice. Nevertheless, relatively early changes in the lung elasticity normalized per lung volume have also been shown by static and dynamic compliance measurements in active humans [48]. Also surprisingly, expiratory flow and lung compliance were not that significantly influenced by higher mouse age as expected. One critical reason for this observation might be the application of a moderate ventilation mimicking normal breathing conditions in our ex vivo study instead of stressing the lungs with high ventilation to detect the impairment in the respiratory mechanics. In contrast to changes in the biomechanical parameters, i.e., relative maximal expiratory flow and lung compliance, we did not identify an influence of age on the arterial perfusion pressure in isolated lungs. This observation coincides with other studies demonstrating either no or a very moderate influence of increasing age on the pulmonary artery pressure in humans and dogs during rest [56, 57].

The respiratory system becomes more susceptible to bacterial infections with increasing age due to a functional decline of the immune system [58]. Nevertheless, the old lung is not characterized by chronic inflammation as demonstrated in many histological investigations [18, 59, 60]. This has also been indirectly confirmed by our study showing an unchanged level of pro-inflammatory TNF-α in the BAL fluid as well as an unchanged endothelial permeability in the isolated lungs of old mice.

Our findings indicate the importance of growth and ageing on the respiratory mechanics in isolated mouse lungs. This has to be considered in experimental pulmonary research when studying lung physiological parameters in the “Isolated lung perfusion system” for mice and most likely other species. For example, investigations of age-related changes in lung would only be meaningful when comparing aged mice with mice at the age of minimum 5 months but not younger.

Conflict of interest

The authors have no financial, consulting or personal relationships with other persons or organizations which could have influenced the present work.

Acknowledgments

This project was supported by grants of Deutsche Forschungsgemeinschaft (DFG; BA 2077/4-1) and Wilhelm Roux program at the Medical Faculty Halle (Saale) (FKZ 21/43). S. Al-Robaiy was funded by DFG (BA2077/4-1). The authors thank Amrit Mann (University Medical Centre, Mainz) for editing the manuscript.

References

1 

Huang K2007Variation in senescent-dependent lung changes in inbred mouse strainsJ Appl Physiol102416321639

2 

Huang K2007Age-dependent changes of airway and lung parenchyma in C57BL/6J miceJ Appl Physiol1021200206

3 

Bates JH, Irvin CG2003Measuring lung function in mice: The phenotyping uncertainty principleJ Appl Physiol94412971306

4 

Irvin CG, Bates JH2003Measuring the lung function in the mouse: The challenge of sizeRespir Res44

5 

Vanoirbeek JA2010Noninvasive and invasive pulmonary function in mouse models of obstructive and restrictive respiratory diseasesAm J Respir Cell Mol Biol42196104

6 

Weissmann N2004Basic features of hypoxic pulmonary vasoconstriction in miceRespir Physiol Neurobiol1392191202

7 

Al-Robaiy S2013The receptor for advanced glycation end-products supports lung tissue biomechanicsAm J Physiol Lung Cell Mol Physiol3057L491L500

8 

Tankersley CG, Rabold R, Mitzner W1999Differential lung mechanics are genetically determined in inbred murinestrainsJ Appl Physiol86617641769

9 

Schulz H2002Respiratory mechanics in mice: Strain and sex specific differencesActa Physiol Scand1744367375

10 

Flandre TD, Leroy PL, Desmecht DJ2003Effect of somatic growth, strain, and sex on double-chamber plethysmographic respiratory function values in healthy miceJ Appl Physiol94311291136

11 

Pinkerton KE1982Morphologic changes in the lung during the lifespan of Fischer 344 ratsAm J Anat1642155174

12 

Verbeken EK1992The senile lung. Comparison with normal and emphysematous lungs. 1. Structural aspectsChest1013793799

13 

Escolar JD1994Changes occurring with increasing age in the rat lung: Morphometrical studyAnat Rec2393287296

14 

Mizuuchi T, Kida K, Fujino Y1994Morphological studies of growth and aging in the lungs of Fischer 344 male ratsExp Gerontol295553567

15 

Miller MR2010Structural and physiological age-associated changes in aging lungsSemin Respir Crit Care Med315521527

16 

Amy RW1977Postnatal growth of the mouse lungJ Anat124Pt 1131151

17 

Mauderly JL, Hahn FF1982The effects of age on lung function and structure of adult animalsAdv Vet Sci Comp Med263577

18 

Kawakami M, Paul JL, Thurlbeck WM1984The effect of age on lung structure in male BALB/cNNia inbred miceAm J Anat1701121

19 

Harding R, Pinkerton KE2006Lung Anatomy (including the Aging Lung)In: Encyclopedia of Respiratory MedicineLaurent GJ, Shapiro SDAcademic PressUK606613

20 

Mund SI, Stampanoni M, Schittny JC2008Developmental alveolarization of the mouse lungDev Dyn237821082116

21 

Thurlbeck WM, Angus GE1975Growth and aging of the normal human lungChest672 Suppl3S6S

22 

von Bethmann AN1998Hyperventilation induces release of cytokines from perfused mouse lungAm J Respir Crit Care Med1571263272

23 

Wilson MR2003High tidal volume upregulates intrapulmonary cytokines in an in vivo mouse model of ventilator-induced lung injuryJ Appl Physiol95413851393

24 

Sharma AK2009Protection from pulmonary ischemia-reperfusion injury by adenosine A2A receptor activationRespir Res1058

25 

Jaecklin T2011Lung-derived soluble mediators are pathogenic in ventilator-induced lung injuryAm J Physiol Lung Cell Mol Physiol3004L648L658

26 

Uhlig S1998The isolated perfused lungMethods in pulmonary researchUhlig S, Taylor AEBirkhäuserBasel, Boston, Berlin2953

27 

De Troyer A1978Evolution of intrathoracic airway mechanics during lung growthJ Appl Physiol Respir Environ Exerc Physiol444521527

28 

Leeder SR1977Maximum expiratory flow-volume curves in children: Changes with growth and individual variabilityBull Eur Physiopathol Respir132249260

29 

Martin TR1988Relationship between maximal expiratory flows and lung volumes in growing humansJ Appl Physiol652822828

30 

Hardie WD1997Postnatal lung function and morphology in transgenic mice expressing transforming growth factor-α Am J Pathol151410751083

31 

Lai YL, Chou H2000Respiratory mechanics and maximal expiratory flow in the anesthetized mouseJ Appl Physiol883939943

32 

Jordanoglou J, Pride NB1968A comparison of maximum inspiratory and expiratory flow in health and in lung diseaseThorax2313845

33 

Jordanoglou J, Pride NB1968Factors determining maximum inspiratory flow and maximum expiratory flow of the lungThorax2313337

34 

Nagase T1994Mechanical interdependence in relation to age: Effects of lung volume on airway resistance in ratsJ Appl Physiol77311721177

35 

Wierich W, Hartung W1979Measurements of total and intrabronchial resistances in normal and diseased isolated lungsBronchopneumologie292116123

36 

Berry RB, Pai UP, Fairshter RD1990Effect of age on changes in flow rates and airway conductance after a deep breathJ Appl Physiol682635643

37 

Verbeken EK1992The senile lung. Comparison with normal and emphysematous lungs. 2. Functional aspectsChest1013800809

38 

Ivanov LA1994Bronchial resistance and its determining factors in middle and old ageFiziol Zh Im I M Sechenova8035661

39 

Babb TG, Rodarte JR2000Mechanism of reduced maximal expiratory flow with agingJ Appl Physiol892505511

40 

Janssens JP, Pache JC, Nicod LP1999Physiological changes in respiratory function associated with ageingEur Respir J131197205

41 

Arkins JA, Glaser MR, Trettel RJ1960The maximal expiratory flow rate of normal individualsDis Chest37496498

42 

Turner JM, Mead J, Wohl ME1968Elasticity of human lungs in relation to ageJ Appl Physiol256664671

43 

Begin R1975Flow and age dependence of airway closure and dynamic complianceJ Appl Physiol382199207

44 

Knudson RJ1976The maximal expiratory flow-volume curve. Normal standards, variability, and effects of ageAm Rev Respir Dis1135587600

45 

Ware JH1990Longitudinal and cross-sectional estimates of pulmonary function decline in never-smoking adultsAm J Epidemiol1324685700

46 

Lai-Fook SJ, Hyatt RE2000Effects of age on elastic moduli of human lungsJ Appl Physiol891163168

47 

Kerstjens HA1997Decline of FEV1 by age and smoking status: Facts, figures, and fallaciesThorax529820827

48 

Chaunchaiyakul R2004The impact of aging and habitual physical activity on static respiratory work at rest and during exerciseAm J Physiol Lung Cell Mol Physiol2876L1098L1106

49 

Galetke W2007Reference values for dynamic and static pulmonary compliance in menRespir Med101817831789

50 

Freydag A2013Lung volume and ventilation distribution changes by positioning and application of positive airway pressure in healthy subjectsAppl Cardiopulmonary Pathophysiol17267274

51 

Hirai T1995Age-related changes in the static and dynamic mechanical properties of mouse lungsRespir Physiol1022-3195203

52 

Mead J1967Significance of the relationship between lung recoil and maximum expiratory flowJ Appl Physiol22195108

53 

Sherratt MJ2009Tissue elasticity and the ageing elastic fibreAge (Dordr)314305325

54 

Bellmunt MJ1995Age-related fluorescence in rat lung collagenLung1733177185

55 

Rolewska P2013Age-related expression, enzymatic solubility and modification with advanced glycation end-products of fibrillar collagens in mouse lungExp Gerontol4812937

56 

Lam CS2009Age-associated increases in pulmonary artery systolic pressure in the general populationCirculation1192026632670

57 

Kovacs G2009Pulmonary arterial pressure during rest and exercise in healthy subjects: A systematic reviewEur Respir J344888894

58 

Meyer KC2005AgingProc Am Thorac Soc25433439

59 

Teramoto S1997Age-related changes in lung structure and function in the senescence-accelerated mouse (SAM): SAM-P/1 as a new model of senile hyperinflation of lungAm J Respir Crit Care Med1564 Pt 11361

60 

Fukuchi Y2009The aging lung and chronic obstructive pulmonary disease: Similarity and differenceProc Am Thorac Soc67570572

Figures and Tables

Fig.1

Selected raw data for respiratory mechanics and perfusate pressure of the isolated mouse lung as acquired and computed by the “Isolated lung perfusion system” with Data Acquisition software. Rdyn and Cdyn were calculated according to the given equations [26].

Selected raw data for respiratory mechanics and perfusate pressure of the isolated mouse lung as acquired and computed by the “Isolated lung perfusion system” with Data Acquisition software. Rdyn and Cdyn were calculated according to the given equations [26].
Fig.2

Age-dependency of A) experimental VT, B) Cdyn at zero air flow and C) Rdyn at 70% VT in isolated mouse lungs. Mean data ± SD are given with P <  0.05 as determined by ANOVA test.

Age-dependency of A) experimental VT, B) Cdyn at zero air flow and C) Rdyn at 70% VT in isolated mouse lungs. Mean data ± SD are given with P <  0.05 as determined by ANOVA test.
Fig.3

Effect of growth and aging on the airflow in isolated mouse lungs. A) MEF, B) MEF in relation to VT, C) VT-corrected MEF, and D) MIF-corrected MEF. Mean data ± SD are given with P <  0.05 as determined by ANOVA test.

Effect of growth and aging on the airflow in isolated mouse lungs. A) MEF, B) MEF in relation to VT, C) VT-corrected MEF, and D) MIF-corrected MEF. Mean data ± SD are given with P <  0.05 as determined by ANOVA test.
Fig.4

Age-dependency of the mean pulmonary artery pressure in the isolated mouse lungs. Mean data ± SD are given with P <  0.05 as determined by ANOVA test.

Age-dependency of the mean pulmonary artery pressure in the isolated mouse lungs. Mean data ± SD are given with P <  0.05 as determined by ANOVA test.
Table 1

Mice of study

GroupAge MedianTotal rangeNumber nGender nBody weight Mean ± SD
Young3 months89–96 d104 ♀, 3 ♂23.3 ± 3.6
4 months124–133 d55 ♀, − ♂24.3 ± 3.8
Adult5 months141–169 d65 ♀, 1 ♂25.8 ± 1.9 *
6 months179–186 d77 ♀, − ♂27.2 ± 1.4 *
7 months206–215 d53 ♀, 2 ♂31.1 ± 3.1 *
8 months231–245 d63 ♀, 3 ♂30.4 ± 4.2 *
9 months364–376 d54 ♀, 1 ♂31.7 ± 2.8 *
Old24 months700–738 d146 ♀, 8 ♂28.9 ± 3.7 *

 * P <  0.01 versus 3-month-old as determined by ANOVA test (further significances are not indicated).

Table 2

BAL after ex vivo lung perfusion

Age groupPermeable dextran

(ng·ml −1) Mean ± SD
Protein ( μg·ml − 1)

Mean ± SD
TNF-α (pg·ml − 1)

Mean ± SD
3 month707 ± 396357 ± 10451 ± 13
4 month639 ± 382382 ± 13998 ± 69
5 month620 ± 181296 ± 10796 ± 45
6 month1096 ± 628358 ± 18181 ± 53
7 month1067 ± 803390 ± 16578 ± 15
8 month657 ± 143556 ± 15561 ± 17
9 month643 ± 132275 ± 99111 ± 69
24 month648 ± 318488 ± 11588 ± 23