OBJECTIVE—Alveolar microvascular function is moderately impaired in type 1 diabetes, as manifested by restriction of lung volume and diffusing capacity (DLCO). We examined whether similar impairment develops in type 2 diabetes and defined the physiologic sources of impairment as well as the relationships to glycemia and systemic microangiopathy.

RESEARCH DESIGN AND METHODS—A cross-sectional study was conducted at a university-affiliated diabetes treatment center and outpatient diabetes clinic, involving 69 nonsmoking type 2 diabetic patients without overt cardiopulmonary disease. Lung volume, pulmonary blood flow (Q̇), DLCO, membrane diffusing capacity (measured from nitric oxide uptake [DLNO]), and pulmonary capillary blood volume (VC) were determined at rest and exercise for comparison with those in 45 healthy nonsmokers as well as with normal reference values.

RESULTS—In type 2 diabetic patients, peak levels of oxygen uptake, Q̇ and DLCO, DLNO, and VC at exercise were 10–25% lower compared with those in control subjects. In nonobese patients (BMI <30 kg/m2), reductions in DLCO, DLNO, and VC were fully explained by the lower lung volume and peak Q̇, but these factors did not fully explain the impairment in obese patients (BMI >30 kg/m2). The slope of the increase in VC with respect to Q̇ was reduced ∼20% in patients regardless of BMI, consistent with impaired alveolar-capillary recruitment. Functional impairment was directly related to A1C level, retinopathy, neuropathy, and microalbuminuria in a sex-specific manner.

CONCLUSIONS—Alveolar microvascular reserves are reduced in type 2 diabetes, reflecting restriction of lung volume, alveolar perfusion, and capillary recruitment. This reduction correlates with glycemic control and extrapulmonary microangiopathy and is aggravated by obesity.

Diabetic microangiopathy can involve alveolar tissue and capillaries, the largest microvascular bed in the body, leading to restriction of lung volume and alveolar gas transport, as manifested by reduced diffusing capacity of the lung for carbon monoxide (DLCO), as well as its components: membrane diffusing capacity and pulmonary capillary blood volume (VC). Lung diffusing capacity is the gas conductance across the lung, modeled as diffusion across alveolar-capillary membrane barrier followed by chemical binding to capillary hemoglobin. In young nonsmokers with poorly controlled type 1 diabetes, DLCO and its components were reduced 15–30% at rest and exercise compared with age-matched nondiabetic subjects (1,2). In type 1 diabetic patients who maintained near-normoglycemia, these parameters are near normal, suggesting a relationship between alveolar function and systemic microangiopathy. Impaired alveolar gas transfer in type 1 diabetes signifies erosion of microvascular reserves that could accelerate clinical decline in conjunction with primary lung disease, aging, or cardiorenal complications and affect long-term tolerance to the use of inhaled insulin.

Type 2 diabetes has also been linked to lower spirometric indexes (3,4) and resting DLCO (5,6). However, previous studies had not taken into account the dependence of DLCO on pulmonary blood flow (Q̇). Normally, DLCO and its components increase 40–60% in a linear relationship as Q̇ increases up to peak exercise. The ability to augment DLCO and its components indexes the recruitment of alveolar microvascular reserves via enlarged membrane surfaces, as well as increased mass and improved distribution of alveolar-capillary erythrocytes. Recruitment is essential for maintaining a normal diffusion-to-perfusion (D/Q̇) ratio and achieving adequate oxygenation of end-capillary blood leaving the lung (7). Conventional interpretation of DLCO implicitly assumes an unchanged Q̇; this assumption is unwarranted and can be misleading. For example, lower cardiac output associated with diabetic heart disease decreases apparent DLCO even when alveolar diffusion is normal. Conversely, elevated cardiac output associated with obesity increases apparent DLCO and could mask the impairment of alveolar diffusion. Thus, the adequacy of alveolar-capillary recruitment and gas transfer cannot be optimally assessed without knowledge of both DLCO and Q̇. We hypothesized that restriction of lung volume, DLCO, and microvascular recruitment develops in type 2 diabetes independent of Q̇ and that abnormalities correlate with disease duration, glycemic control, and extrapulmonary microangiopathy and are compounded by obesity. We simultaneously measured lung volume, Q̇, DLCO, membrane diffusing capacity, and VC using a noninvasive rebreathing technique in type 2 diabetic patients from rest to heavy exercise. Measurements were compared with reference values obtained in nondiabetic control subjects and adjusted for Q̇. Alveolar-capillary recruitment was assessed from the slopes of the increase in DLCO, diffusing capacity of the lung for nitric oxide (DLNO) and VC with respect to Q̇.

The institutional review board approved all protocols; written informed consent was obtained from all subjects. Nonsmoking type 2 diabetic patients (n = 69) without overt cardiopulmonary disease were recruited from the University of Texas Southwestern Diabetes Treatment Center. Thirty-seven patients were treated with insulin; 25 were also taking an oral hypoglycemic agent. Thirty-one patients were taking oral agents only. Thirty subjects were taking antihypertensive medication, and 32 were taking antihyperlipidemia medication. Five subjects were remote smokers (∼10 pack-years); the average time since smoking cessation was 14 years. Forty-five healthy nondiabetic nonsmokers served as simultaneous control subjects. Adjusted reference values were derived from 75 cumulative nonobese (BMI <30 kg/m2) control subjects.

Apparatus

Standard spirometry was performed (Vmax229; Sensormedics, Yorba Linda, CA). Subjects exercised on a bicycle ergometer (Ergometrics-800; Sensormedics) while breathing through a respiratory valve (8500; Hans Rudolph, Kansas City, MO) and solenoid-controlled switching assembly (GH3315; Precision Dynamics, San Fernando, CA, and EV-3–12; Clippard, Cincinnati, OH). The expiratory circuit opened via a mixing chamber to either room air or a bag-in-a box reservoir containing the test gas mixture. Expired ventilation was measured using a turbine flowmeter (VMM2; Interface Associates, Aliso Viejo, CA). Oxygen and CO2 concentrations were measured by mass spectrometry (MGA-1100; PerkinElmer). Electrocardiogram and transcutaneous oxygen saturation (N-180; Nelcor, Carlsbad, CA) were monitored continuously.

Rebreathing technique

The technique is well established (8,9). The bag-in-a box reservoir contained a mixture of 0.3% methane, 0.3% carbon monoxide (CO), 0.8% acetylene, and either 30 or 90% oxygen in a balance of nitrogen. When needed, nitric oxide (NO) (∼40 ppm) was added immediately before testing. At a selected end-expiration the valves switched electronically, allowing the subject to inspire one bolus of test gas to total lung capacity and then rebreathe this bolus in and out of an anesthetic bag for 12–16 s while gas concentrations at the mouth were monitored. Methane, acetylene, and CO concentrations were measured by an infrared analyzer (Sensors, Saline, MI); the NO concentration was measured by chemiluminescence (NOA280; Sievers Instruments, Boulder, CO).

Systemic microangiopathy

Retinopathy was assessed by funduscopic examination. The presence of microaneurysm, hemorrhage, exudate, or neovascularization or previous laser treatment was considered positive. Microalbuminuria was assessed from a nonfasting urine sample: ≥30 μg/mg creatinine was considered abnormal. Nerve conduction was studied in the Electrodiagnostics Laboratory of University Diabetes Treatment Center. The ulnar sensory and peroneal motor nerves were stimulated, and the compound nerve or muscle action potential was recorded to assess conduction velocity, latency, and amplitude in comparison with established reference values (10). Individual nerves were abnormal if at least one of these parameters was outside the normal threshold. Neuropathy was conservatively defined as abnormalities in both motor and sensory nerves.

Protocol

On the first visit, medical history was reviewed and physical examination was performed. A venous blood sample was drawn to measure hematocrit, Hb, and A1C concentrations. A urine sample was collected, and nerve conduction was measured. Spirometry, maximal voluntary ventilation, and DLCO at rest were measured. Maximal oxygen uptake was determined by an incremental protocol (20–30 W every 3 min) until volitional termination.

On a second visit, studies were performed at rest and at 30, 60, and 90% of the predetermined maximal workload, with each sustained for 3 min followed by the rebreathing maneuver. Duplicate measurements were performed with the test gas containing 30 or 90% oxygen in balanced order. Before rebreathing the test gas containing 90% oxygen, subjects prebreathed 100% oxygen for ∼30 s until alveolar oxygen tension (PAo2) reached ∼600 mmHg. Subjects rested between workloads until heart rate and ventilation returned to baseline. On a third visit, the exercise protocol was repeated but without NO in the test gas. The presence of NO in the test gas mixture does not alter the measurements during the brief (12–16 s) rebreathing period (11).

Data analysis

The analysis was established previously (8,9). Lung volume (body temperature and pressure saturated, in liters) was estimated by methane dilution. Q̇, DLNO, and DLCO were determined from end-tidal disappearance of acetylene, NO, and CO, respectively. Conductance of membrane and hemoglobin binding contribute about equally to DLCO. DLNO was used as a direct index of membrane diffusing capacity. Because NO is rapidly scavenged by hemoglobin, resistance to alveolar NO uptake resides mainly within the tissue/erythrocyte membrane, and DLNO is directly related to diffusing capacity of alveolar membrane for carbon monoxide (DMCO) (DLNO = 2.42.DMCO) (9). From DLCO and the DMCO derived from DLNO, VC was calculated by the standard equation:

where CO uptake by 1 ml of whole blood (θCO) is dependent on mean PAo2 and the Hb concentration:

DMCO and VC were used to express DLCO at a constant Hb concentration (14.6 g/dl) and PAo2 (120 mmHg).

Duplicate measurements were averaged and expressed as absolute values and as percentages of reference values from nondiabetic control subjects. End-expiratory lung volume (EELV) and end-inspiratory lung volume (EILV) were adjusted for sex, age, and height (men: EELV = 5.72 × height + 0.02 × age − 7.24, EILV = 11.32 × height − 13.23; women: EELV = 3.45 × height + 0.02 × age − 3.84, EILV = 4.89 × height + 0.02 × age − 3.79). DLCO, DLNO, and VC were adjusted for sex, age, body surface area, and Q̇ using multivariate regression analysis (8,11). Individual DLCO, DLNO, and VC measurements were analyzed with respect to Q̇; slope of the linear regression provides an index of alveolar-capillary recruitment (7). Data were compared by ANOVA with a post hoc test by Fisher's protected least significant difference. Differences were significant at P ≤ 0.05.

In type 2 diabetic patients, the prevalence of retinopathy was 32%, the prevalence of microalbuminuria was 38%, and the prevalence of nerve conduction defects was 28%. A1C exceeded 8.0% in 54% of patients; average A1C was slightly lower in obese (BMI >30 kg/m2) than in nonobese patients (Table 1). Hematological indexes were normal. Forced vital capacity (FVC) was significantly (8–11%) lower regardless of BMI. Forced expiratory volume in 1 s (FEV1), and maximal voluntary ventilation were normal. Peak heart rate exceeded 80% of the predicted maximum; peak workload and peak oxygen uptake were ∼25% below the predicted maximum. Ventilation and tidal volume at peak exercise were ∼20% lower in patients compared with control subjects.

Mixing efficiency during rebreathing and transcutaneous oxygen saturation was normal in all subjects. Mean alveolar NO concentration (5–7 ppb) was similar among groups. In patients, EELV and EILV were ∼15% below normal regardless of BMI (Fig. 1A). At the highest sustained workload, Q̇ in patients was below normal (Table 2). Unadjusted DLCO, DLNO, and VC measured upon exercise were modestly lower in patients compared with control subjects (Table 2). When expressed as a percentage of reference values adjusted for Q̇, DLCO, DLNO, and VC were within the normal range in nonobese patients but remained significantly reduced (16–18%) in obese patients (Fig. 1B). The relationship between DLNO and DMCO was normal (not shown). The slopes of the linear increase in DLCO and DLNO with respect to Q̇ were similar among groups. The slope of the linear increase in VC with respect to Q̇ was 20–25% below normal in patients regardless of BMI (Table 2).

In male and female patients, A1C >8.0% correlated with significantly lower DLCO, DLNO, VC, and EILV (Fig. 2A), and microalbuminuria correlated with lower DLCO, DLNO, and EILV (Fig. 2B) compared with patients without these complications. In male but not female patients, the presence of neuropathy was associated with significantly lower DLCO, DLNO, VC, and EILV (Fig. 2C), whereas retinopathy correlated with a significantly lower DLNO (Fig. 2B). There was no significant correlation of lung function to age or to disease duration in either sex.

This is the first study to quantify pulmonary microvascular reserves in type 2 diabetes. The main findings were as follows. 1) Lung volume was moderately reduced regardless of sex or obesity. 2) Peak Q̇, DLCO, DLNO, and VC were reduced upon exercise. 3) Adjustment for sex, age, and Q̇ normalized DLCO, DLNO, and VC in nonobese type 2 diabetic patients, but the adjusted parameters remained reduced in obese patients. 4) The slope of the increase in VC with respect to Q̇ was reduced regardless of obesity, consistent with diminished recruitment of alveolar capillaries. These results highlight the need to consider Q̇ when interpreting DLCO and its components. 5) Alveolar microvascular indexes were significantly related to glycemic control and extrapulmonary microangiopathy in a sex-specific manner.

Lung volume

Hyperglycemia and insulin resistance are associated with lower FVC and FEV1 (4,12). A restrictive pattern in middle-aged nondiabetic adults is predictive of subsequent type 2 diabetes (13). Some studies do not show differences in adjusted rates of longitudinal change in spirometry between diabetic and nondiabetic subjects (4), whereas others found that declining FEV1 and lung volume are directly related to glycemic control and mortality (3). In type 1 diabetes, a lower lung volume is associated with abnormal elastic recoil (14) and elevated work of breathing at exercise (2). A stiff chest wall with limited joint mobility (15) may be caused by abnormal connective tissue metabolism as well as collagen cross-linking in thoracic and lung tissue. Autonomic neuropathy involving respiratory muscles may impair thoracic mobility. A similar pathogenesis may cause volume restriction in type 2 diabetes. In elderly men, adiposity and metabolic syndrome are associated with a restrictive spirometric pattern (16). Mechanical loading of the thorax due to adiposity could exacerbate lung volume restriction. Abnormal fat infiltration and connective tissue deposition (17) within the lung parenchyma may further reduce lung volume and compliance.

Diffusion and alveolar-capillary recruitment

Normally, lung volume and Q̇ are the major determinants of DLCO, DLNO, and VC (8,11). Upon exercise, DLCO, DLNO, and VC increase 40–60% in a linear relationship with respect to perfusion (7). In nonobese patients, the lower lung volume and lower Q̇ at exercise fully explain the 10–25% reduction in measured DLCO DLNO, and VC. Because lung volume was similarly reduced in obese and nonobese patients, the persistently lower DLCO DLNO, and VC in obese patients after adjustment for Q̇ suggest additional factors, e.g., infiltrative fat or connective tissue deposition within alveolar tissue, that cause diffusion impairment.

One major effect of type 2 diabetes is decreased alveolar microvascular perfusion, leading to proportionately lower DLCO, DLNO, and VC at rest or exercise. Obesity further impairs DLCO, DLNO, and VC, but the effect is partially offset by an obesity-associated increase in cardiac output (18). These results highlight the need to consider perfusion when interpreting lung diffusion. The magnitude of diffusion impairment in type 2 diabetes is milder than that observed in type 1 diabetes (1,2); differences could relate to longer disease duration in our earlier type 1 diabetes study (>15 years) compared with that for type 2 diabetes (∼8 years) in this study. True disease duration is often uncertain in type 2 diabetes, and we did not observe a significant relationship between type 2 diabetes duration and lung function. Also, type 1 diabetes is uniformly severe, whereas the severity of type 2 diabetes is heterogeneous. Nonetheless, a consistent inverse relationship between lung function and glycemia emerged in type 2 diabetes as in type 1 diabetes (2).

In moderate/localized lung disease, DLCO, DLNO, and VC are reduced at a given Q̇, but the ability to recruit the remaining alveolar microvasculature is preserved; recruitment mitigates the reduction in DLCO to maintain arterial oxygen saturation (9,19). In contrast, few lung units are recruitable in diffuse pulmonary fibrosis: DLCO and its components are not only reduced at rest but fail to rise as Q̇ increases (19); inadequate recruitment causes the diffusion-to-perfusion (D/Q̇) ratio to fall with exercise, leading to severe arterial hypoxemia (7). Thus, multivariate analysis of lung diffusion should include simultaneously measured Q̇ as a dynamic determinant. Impairment of alveolar-capillary recruitment in type 2 diabetes regardless of obesity suggests parenchymal changes that impede opening or distention of alveolar capillaries, possibly caused by connective tissue deposition within alveolar walls that has been observed in experimental diabetes (17); obesity may exaggerate these changes.

Relation to systemic microangiopathy

Lung function in type 2 diabetes is worse in a sex-specific manner in the presence of extrapulmonary end-organ complications, suggesting that nonenzymatic protein glycation, which predicts long-term progression of retinopathy and nephropathy, also predisposes to lung restriction. Sex-specific susceptibility to diabetes complications is well known. For example, diabetic foot lesion has a poorer prognosis in men than in women (20). The DNA polymorphism that promotes angiotensinogen gene expression increases the risk of nephropathy in diabetic men but not women (21). The risk of cardiovascular disease is higher in diabetic women than in men (22). Diabetes-related oxidative stress and reduction in antioxidant activity is greater in women than in men (23). Lifestyle, genetics, sex hormones, vascular endothelial function, advanced glycation end products, and intrinsic sex differences in lung structure may influence sex susceptibility to complications.

Clinical implications

Unlike the smaller microvasculature in the retina, heart, or peripheral nervous system, alveolar microvasculature is extensive. The oxygen transport capacity of the lung is twice that of the cardiovascular system or skeletal muscle. In chronic lung disease, lung volume and DLCO could decline ∼50% without an individual incurring dyspnea at rest. Because of the large physiological reserves and because peak cardiac output is concurrently reduced, diabetic pulmonary dysfunction remains “subclinical.” Nonetheless, a modest loss of alveolar-capillary reserves can be quantified by noninvasive methods independent of physical fitness and correlates with glycemia as well as systemic microangiopathy. It remains to be determined whether alveolar microvascular indexes track longitudinal microangiopathy in a “clean” organ that is not ravaged by diabetes or its treatment. Loss of alveolar reserves could exaggerate aging-related functional decline (5) and predispose to overt sequelae in conjunction with renal and heart failure or primary lung disease. For example, diabetes significantly increases mortality in women with cystic fibrosis (24). Residence at high altitude where alveolar hypoxia imposes the primary limitation to oxygen transport is associated with higher prevalence of diabetic end-organ complications (25). These issues regarding physiological reserves are also important for the chronic use of inhaled insulin, which causes an early reduction in lung function (26). Finally, these data suggest that weight loss in obese type 2 diabetic patients could improve alveolar microvascular function.

Figure 1—

A: EELV and EILV expressed as percentages of the reference values adjusted for sex, age (years), and height (meters) were significantly lower in type 2 diabetic patients regardless of obesity (BMI >30 kg/m2). Data are means ± SD. *P ≤ 0.05 versus nondiabetic control subjects. B: After adjustment for sex, age, body surface area, and pulmonary blood flow, DLCO, DLNO, and VC expressed as percentages of the reference values were not significantly different from normal in nonobese type 2 diabetic patients (BMI <30 kg/m2) but remained significantly reduced in obese patients (BMI >30). Data are means ± SD. *P ≤ 0.05 versus normal subjects; †P ≤ 0.05 versus type 2 diabetic patients with BMI <30 kg/m2.

Figure 1—

A: EELV and EILV expressed as percentages of the reference values adjusted for sex, age (years), and height (meters) were significantly lower in type 2 diabetic patients regardless of obesity (BMI >30 kg/m2). Data are means ± SD. *P ≤ 0.05 versus nondiabetic control subjects. B: After adjustment for sex, age, body surface area, and pulmonary blood flow, DLCO, DLNO, and VC expressed as percentages of the reference values were not significantly different from normal in nonobese type 2 diabetic patients (BMI <30 kg/m2) but remained significantly reduced in obese patients (BMI >30). Data are means ± SD. *P ≤ 0.05 versus normal subjects; †P ≤ 0.05 versus type 2 diabetic patients with BMI <30 kg/m2.

Close modal
Figure 2—

Relations of lung function to glycemia and microangiopathy. A: In male and female patients, A1C >8.0% was associated with lower EILV (liters), DLCO and DLNO (both milliliters per minute per millimeter of mercury), and VC (milliliters) measured at 90% peak exercise. Data are means ± SEM. B: In male and female patients, an elevated urinary microalbumin level (micrograms per milligram of creatinine) was associated with lower DLCO, DLNO, and EILV at 90% peak exercise. C: In male patients, the presence of neuropathy was associated with lower EILV, DLCO, DLNO, and VC at 90% peak exercise. D: In male patients, the presence of retinopathy was associated with a lower DLNO at 90% peak exercise. Data are means ± SEM. *P ≤ 0.05 versus nondiabetic control subjects; †P ≤ 0.05 versus patients with A1C <8.0% or patients without complications. T2DM, type 2 diabetes.

Figure 2—

Relations of lung function to glycemia and microangiopathy. A: In male and female patients, A1C >8.0% was associated with lower EILV (liters), DLCO and DLNO (both milliliters per minute per millimeter of mercury), and VC (milliliters) measured at 90% peak exercise. Data are means ± SEM. B: In male and female patients, an elevated urinary microalbumin level (micrograms per milligram of creatinine) was associated with lower DLCO, DLNO, and EILV at 90% peak exercise. C: In male patients, the presence of neuropathy was associated with lower EILV, DLCO, DLNO, and VC at 90% peak exercise. D: In male patients, the presence of retinopathy was associated with a lower DLNO at 90% peak exercise. Data are means ± SEM. *P ≤ 0.05 versus nondiabetic control subjects; †P ≤ 0.05 versus patients with A1C <8.0% or patients without complications. T2DM, type 2 diabetes.

Close modal
Table 1—

Baseline and peak exercise data

Control subjectsType 2 diabetic patients
BMI <30 kg/m2BMI >30 kg/m2
n (% female) 45 (47) 32 (41) 37 (49) 
Age (years) 45 ± 13 49 ± 10 45 ± 11 
Height (cm) 171 ± 9 169 ± 14 169 ± 10 
BMI (kg/m228.8 ± 5.1 27.4 ± 1.6 34.4 ± 3.8* 
Hemoglobin (g/dl) 13.7 ± 1.4 14.0 ± 1.6 13.4 ± 1.7 
Hematocrit (%) 42 ± 4 43.5 ± 5 41 ± 4 
A1C (%)  8.7 ± 1.9 8.0 ± 1.6 
Time from diagnosis (years)  8.5 ± 5.4 7.3 ± 6.3 
Spirometry    
    FVC (liters) 4.2 ± 0.9 3.7 ± 1.2 3.6 ± 1.0* 
        % predicted 101 ± 15 92 ± 14* 89 ± 14* 
    FEV1 (liters) 3.2 ± 0.6 3.1 ± 0.9 3.0 ± 0.8 
        % predicted 98 ± 13 97 ± 16 93 ± 13 
FEV1/FVC (%) 77 ± 7 82 ± 5* 83 ± 5* 
Maximum voluntary ventilation (liters/min) 134 ± 29 134 ± 42 131 ± 34 
    % predicted 98 ± 14 100 ± 18 99 ± 19 
Peak exercise    
    Workload (W) 155 ± 53 122 ± 51* 116 ± 39* 
    Heart rate (beats/min) 167 ± 19 152 ± 20* 150 ± 18* 
        % predicted maximum 93 ± 9 86 ± 10* 83 ± 9* 
    O2 uptake (liters · min−12.0 ± 0.6 1.5 ± 0.6* 1.6 ± 0.5* 
        % predicted maximum 93 ± 19 74 ± 18* 77 ± 13* 
    Respiratory exchange ratio 1.3 ± 0.1 1.2 ± 0.2 1.3 ± 0.2 
        Ventilation (liters ·min−185 ± 21 68 ± 27* 71 ± 22* 
Tidal volume (liters) 2.4 ± 0.6 1.9 ± 0.8* 1.9 ± 0.7* 
Control subjectsType 2 diabetic patients
BMI <30 kg/m2BMI >30 kg/m2
n (% female) 45 (47) 32 (41) 37 (49) 
Age (years) 45 ± 13 49 ± 10 45 ± 11 
Height (cm) 171 ± 9 169 ± 14 169 ± 10 
BMI (kg/m228.8 ± 5.1 27.4 ± 1.6 34.4 ± 3.8* 
Hemoglobin (g/dl) 13.7 ± 1.4 14.0 ± 1.6 13.4 ± 1.7 
Hematocrit (%) 42 ± 4 43.5 ± 5 41 ± 4 
A1C (%)  8.7 ± 1.9 8.0 ± 1.6 
Time from diagnosis (years)  8.5 ± 5.4 7.3 ± 6.3 
Spirometry    
    FVC (liters) 4.2 ± 0.9 3.7 ± 1.2 3.6 ± 1.0* 
        % predicted 101 ± 15 92 ± 14* 89 ± 14* 
    FEV1 (liters) 3.2 ± 0.6 3.1 ± 0.9 3.0 ± 0.8 
        % predicted 98 ± 13 97 ± 16 93 ± 13 
FEV1/FVC (%) 77 ± 7 82 ± 5* 83 ± 5* 
Maximum voluntary ventilation (liters/min) 134 ± 29 134 ± 42 131 ± 34 
    % predicted 98 ± 14 100 ± 18 99 ± 19 
Peak exercise    
    Workload (W) 155 ± 53 122 ± 51* 116 ± 39* 
    Heart rate (beats/min) 167 ± 19 152 ± 20* 150 ± 18* 
        % predicted maximum 93 ± 9 86 ± 10* 83 ± 9* 
    O2 uptake (liters · min−12.0 ± 0.6 1.5 ± 0.6* 1.6 ± 0.5* 
        % predicted maximum 93 ± 19 74 ± 18* 77 ± 13* 
    Respiratory exchange ratio 1.3 ± 0.1 1.2 ± 0.2 1.3 ± 0.2 
        Ventilation (liters ·min−185 ± 21 68 ± 27* 71 ± 22* 
Tidal volume (liters) 2.4 ± 0.6 1.9 ± 0.8* 1.9 ± 0.7* 

Data are means ± SD.

*

P ≤ 0.05 vs. control by ANOVA.

P ≤ 0.05 vs. type 2 diabetes BMI <30 by ANOVA.

Table 2—

Unadjusted rebreathing data

Control subjectsType 2 diabetes
BMI <30 kg/m2BMI >30 kg/m2
EELV (liters)    
    Rest 3.5 ± 1.0 2.9 ± 1.0* 2.9 ± 0.9* 
    Exercise 3.3 ± 1.0 2.9 ± 1.0 2.9 ± 0.9* 
EILV (liters)    
    Rest 6.0 ± 1.4 5.6 ± 1.6 5.4 ± 1.3 
    Exercise 6.0 ± 1.3 5.5 ± 1.5 5.4 ± 1.2* 
Q̇ (liters · min−1   
    Rest 6.0 ± 1.4 5.5 ± 1.1 6.1 ± 1.4 
    Exercise 14.5 ± 1.4 11.8 ± 3.4* 12.8 ± 3.3* 
DLCO (mL · [min · mmHg]−1   
    Rest 25.9 ± 6.5 23.1 ± 6.2 24.1 ± 5.7 
    Exercise 35.3 ± 9.2 30.6 ± 8.6* 31.5 ± 7.2* 
DLNO (mL · [min · mmHg]−1   
    Rest 120 ± 33 99 ± 34* 105 ± 32 
    Exercise 141 ± 43 114 ± 38* 120 ± 35* 
VC (ml)    
    Rest 78 ± 22 69 ± 23 71 ± 21 
    Exercise 127 ± 45 98 ± 34* 100 ± 30* 
Slope of relationship with respect to pulmonary blood flow (liters/min)    
    DLCO 1.5 ± 0.4 1.4 ± 0.3 1.3 ± 0.2* 
    DLNO 2.8 ± 1.7 2.4 ± 1.5 2.3 ± 1.3 
    VC 6.4 ± 3.3 4.7 ± 1.7* 4.4 ± 1.9* 
Control subjectsType 2 diabetes
BMI <30 kg/m2BMI >30 kg/m2
EELV (liters)    
    Rest 3.5 ± 1.0 2.9 ± 1.0* 2.9 ± 0.9* 
    Exercise 3.3 ± 1.0 2.9 ± 1.0 2.9 ± 0.9* 
EILV (liters)    
    Rest 6.0 ± 1.4 5.6 ± 1.6 5.4 ± 1.3 
    Exercise 6.0 ± 1.3 5.5 ± 1.5 5.4 ± 1.2* 
Q̇ (liters · min−1   
    Rest 6.0 ± 1.4 5.5 ± 1.1 6.1 ± 1.4 
    Exercise 14.5 ± 1.4 11.8 ± 3.4* 12.8 ± 3.3* 
DLCO (mL · [min · mmHg]−1   
    Rest 25.9 ± 6.5 23.1 ± 6.2 24.1 ± 5.7 
    Exercise 35.3 ± 9.2 30.6 ± 8.6* 31.5 ± 7.2* 
DLNO (mL · [min · mmHg]−1   
    Rest 120 ± 33 99 ± 34* 105 ± 32 
    Exercise 141 ± 43 114 ± 38* 120 ± 35* 
VC (ml)    
    Rest 78 ± 22 69 ± 23 71 ± 21 
    Exercise 127 ± 45 98 ± 34* 100 ± 30* 
Slope of relationship with respect to pulmonary blood flow (liters/min)    
    DLCO 1.5 ± 0.4 1.4 ± 0.3 1.3 ± 0.2* 
    DLNO 2.8 ± 1.7 2.4 ± 1.5 2.3 ± 1.3 
    VC 6.4 ± 3.3 4.7 ± 1.7* 4.4 ± 1.9* 

Data are means ± SD. Exercise data were obtained at 90% peak workload.

*

P ≤ 0.05 vs. control by ANOVA.

P ≤ 0.05 vs. type 2 diabetes BMI <30 by ANOVA.

This study is supported by National Institute of Diabetes and Digestive and Kidney Diseases Grant R01 DK063242. We also acknowledge support of the General Clinical Research Center, M01 RR00633.

We thank the staff of the University Diabetes Treatment Center for patient liaison and Brenda Brightman for performing nerve conduction studies.

1.
Ramirez LC, Dal Nogare A, Hsia CCW, Arauz C, Strowig S, Schnurrbreen L, Raskin P: Relationship between diabetes control and pulmonary function in insulin dependent diabetes mellitus.
Am J Med
91
:
371
–376,
1991
2.
Niranjan V, McBrayer DG, Ramirez LC, Raskin P, Hsia CCW: Glycemic control and cardiopulmonary function in patients with insulin-dependent diabetes mellitus.
Am J Med
103
:
504
–513,
1997
3.
Davis WA, Knuiman M, Kendall P, Grange V, Davis TM: Glycemic exposure is associated with reduced pulmonary function in type 2 diabetes: the Fremantle Diabetes Study.
Diabetes Care
27
:
752
–757,
2004
4.
Litonjua AA, Lazarus R, Sparrow D, Demolles D, Weiss ST: Lung function in type 2 diabetes: the Normative Aging Study.
Respir Med
99
:
1583
–1590,
2005
5.
Asanuma Y, Fujiya S, Ide H, Agishi Y: Characteristics of pulmonary function in patients with diabetes mellitus.
Diabetes Res Clin Pract
1
:
95
–101,
1985
6.
Weir DC, Jennings PE, Hendy MS, Barnett AH, Burge PS: Transfer factor for carbon monoxide in patients with diabetes with and without microangiopathy.
Thorax
43
:
725
–726,
1988
7.
Hsia CCW: Recruitment of lung diffusing capacity: update of concept and application.
Chest
122
:
1774
–1783,
2002
8.
Hsia CCW, McBrayer DG, Ramanathan M: Reference values of pulmonary diffusing capacity during exercise by a rebreathing technique.
Am J Resp Crit Care Med
152
:
658
–665,
1995
9.
Phansalkar AR, Hanson CM, Shakir AR, Johnson RL Jr, Hsia CC: Nitric oxide diffusing capacity and alveolar microvascular recruitment in sarcoidosis.
Am J Respir Crit Care Med
169
:
1034
–1040,
2004
10.
Kimura J: Electrodiagnosis in Disease of Nerve and Muscle: Principles and Practice. 3rd ed. New York, Oxford University Press,
2001
11.
Tamhane RM, Johnson RL Jr, Hsia CC: Pulmonary membrane diffusing capacity and capillary blood volume measured during exercise from nitric oxide uptake.
Chest
120
:
1850
–1856,
2001
12.
Lawlor DA, Ebrahim S, Smith GD: Associations of measures of lung function with insulin resistance and type 2 diabetes: findings from the British Women's Heart and Health Study.
Diabetologia
47
:
195
–203,
2004
13.
Yeh HC, Punjabi NM, Wang NY, Pankow JS, Duncan BB, Brancati FL: Vital capacity as a predictor of incident type 2 diabetes: the Atherosclerosis Risk in Communities study.
Diabetes Care
28
:
1472
–1479,
2005
14.
Schuyler MR, Niewoehner DE, Inkley SR, Kohn R: Abnormal lung elasticity in juvenile diabetes mellitus.
Am Rev Respir Dis
113
:
37
–41,
1976
15.
Schnapf BN, Banks RA, Silverstein JH, Rosenbloom AL, Chesrown SE, Loughlin GM: Pulmonary function in insulin-dependent diabetes mellitus with limited joint mobility.
Am Rev Respir Dis
130
:
930
–932,
1984
16.
Fimognari FL, Pasqualetti P, Moro L, Franco A, Piccirillo G, Pastorelli R, Rossini PM, Incalzi RA: The association between metabolic syndrome and restrictive ventilatory dysfunction in older persons.
J Gerontol A Biol Sci Med Sci
62
:
760
–765,
2007
17.
Ofulue AF, Thurlbeck WM: Experimental diabetes and the lung. II. In vivo connective tissue metabolism.
Am Rev Respir Dis
138
:
284
–289,
1988
18.
Collis T, Devereux RB, Roman MJ, de Simone G, Yeh J, Howard BV, Fabsitz RR, Welty TK: Relations of stroke volume and cardiac output to body composition: the strong heart study.
Circulation
103
:
820
–825,
2001
19.
Hsia CCW, Ramanathan M, Estrera AS: Recruitment of diffusing capacity with exercise in patients after pneumonectomy.
Am Rev Respir Dis
145
:
811
–816,
1992
20.
Benotmane A, Mohammedi F, Ayad F, Kadi K, Azzouz A: Diabetic foot lesions: etiologic and prognostic factors.
Diabetes Metab
26
:
113
–117,
2000
21.
Freire MB, Ji L, Onuma T, Orban T, Warram JH, Krolewski AS: Gender-specific association of M235T polymorphism in angiotensinogen gene and diabetic nephropathy in NIDDM.
Hypertension
31
:
896
–899,
1998
22.
Ren J, Ceylan-Isik AF: Diabetic cardiomyopathy: do women differ from men?
Endocrine
25
:
73
–83,
2004
23.
Marra G, Cotroneo P, Pitocco D, Manto A, Di Leo MA, Ruotolo V, Caputo S, Giardina B, Ghirlanda G, Santini SA: Early increase of oxidative stress and reduced antioxidant defenses in patients with uncomplicated type 1 diabetes: a case for gender difference.
Diabetes Care
25
:
370
–375,
2002
24.
Milla CE, Billings J, Moran A: Diabetes is associated with dramatically decreased survival in female but not male subjects with cystic fibrosis.
Diabetes Care
28
:
2141
–2144,
2005
25.
Sayarlioglu H, Erkoc R, Dogan E, Topal C, Algun E, Erem C, Atmaca H, Kocak E, Yilmaz R, Erdol H, Cinal A: Nephropathy and retinopathy in type 2 diabetic patients living at moderately high altitude and sea level.
Ren Fail
27
:
67
–71,
2005
26.
Skyler JS, Jovanovic L, Klioze S, Reis J, Duggan W: Two-year safety and efficacy of inhaled human insulin (Exubera) in adult patients with type 1 diabetes.
Diabetes Care
30
:
579
–585,
2007

Published ahead of print at http://care.diabetesjournals.org on 20 May 2008.

The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the National Institute of Diabetes and Digestive and Kidney Diseases or of the National Institutes of Health. The funding sources had no role in the conduct of the study or in the decision to submit the manuscript for publication.

Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked “advertisement” in accordance with 18 U.S.C Section 1734 solely to indicate this fact.