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. Author manuscript; available in PMC: 2018 May 1.
Published in final edited form as: Thorax. 2017 Jan 27;72(5):472–474. doi: 10.1136/thoraxjnl-2016-209568

Cholesterol, Lipoproteins and Subclinical Interstitial Lung Disease: The MESA Study

Anna J Podolanczuk 1, Ganesh Raghu 2, Michael Y Tsai 3, Steven M Kawut 4, Eric Peterson 1, Rajiv Sonti 1, Daniel Rabinowitz 5, Craig Johnson 6, R Graham Barr 1,7, Karen Hinckley Stukovsky 6, Eric A Hoffman 8, J Jeffrey Carr 9, Firas S Ahmed 10, David R Jacobs Jr 11, Karol Watson 12, Steven J Shea 1,7, David J Lederer 1,7
PMCID: PMC5388565  NIHMSID: NIHMS844234  PMID: 28130491

Abstract

We investigated associations of plasma lipoproteins with subclinical ILD by measuring high attenuation areas (HAA: lung voxels between −600 and −250 HU) in 6,700 adults and serum MMP-7 and SP-A in 1,216 adults age 45–84 without clinical cardiovascular disease in MESA. In cross-sectional analyses, each standard deviation (SD) decrement in HDL-C was associated with a 2.12% HAA increment (95% CI 1.44–2.79%), a 3.53% MMP-7 increment (95% CI 0.93–6.07) and a 6.37% SP-A increment (95% CI 1.35–11.13), independent of demographics, smoking, and inflammatory biomarkers. These findings support a novel hypothesis that HDL-C might influence subclinical lung injury and extracellular matrix remodeling.


Cardiovascular disease (CVD) is a prevalent comorbidity in adults with fibrotic ILD, yet the mechanisms underlying this association remain unclear.[13] Lipids and lipoproteins contribute to the pathogenesis of CVD and in recent years have been linked to a number of lung diseases, including asthma and COPD.[4 5] However, few studies have looked at the role of lipids and lipoproteins in interstitial lung injury, inflammation and fibrosis.[6 7]

Imaging-based identification of lung injury, matrix remodeling and fibrosis in asymptomatic individuals is a novel way of studying subclinical ILD and may lead to a better understanding of the early causes of fibrosis. Two methods have been developed and validated to identify subclinical ILD: automated detection using quantitative CT densitometry to measure increased lung attenuation (high attenuation areas, HAA) and visual inspection for the presence of interstitial lung abnormalities (ILA).[811] In the current study, we examined associations of plasma lipids and lipoproteins with HAA, ILA and serum biomarkers of lung inflammation and extracellular matrix remodeling (SP-A and MMP-7) in the Multi-Ethnic Study of Atherosclerosis (MESA).[1215] We hypothesized that the presence of coronary artery calcium, high LDL-C, low HDL-C and their respective components would be associated with HAA, ILA, and higher MMP-7/SP-A levels independent of demographic characteristics, smoking and inflammatory biomarkers.

Full Methods are available in the Online Data Supplement.

The Multi-Ethnic Study of Atherosclerosis (MESA) is a multi-center, prospective cohort study of 6,814 adults age 45–84 sponsored by the National Heart Lung and Blood Institute to investigate the progression of subclinical CVD. The participant selection criteria have previously been described.[16] Notably, there were no selection criteria based on lung disease, respiratory symptoms, or smoking history. MESA was approved by Institutional Review Boards at all collaborating centers, and all participants provided written informed consent for participation.

Lung attenuation was measured on cardiac CT scans performed at baseline. Quantitative image attenuation was measured using a modified version of the Pulmonary Analysis Software Suite at a single reading center by trained readers. HAA was defined as the volume of imaged lung having CT attenuation values between −600 and −250 Hounsfield Units (HU).[8 9] ILA was visually assessed on full lung CT scans, as previously described.[911]

Of the 6,814 MESA participants, there were 6,700 with available lipid measurements included in HAA analyses, 2,391 in ILA analyses, and 1,216 in MMP-7 and SP-A analyses, with sampling frame previously described.[9] The median (IQR) HAA was 4.2% (3.5–5.4%) of total imaged lung.

In multivariable-adjusted models, there was a significant association between the presence of coronary artery calcium, HAA and ILA. The presence of CAC was associated with 1.47% increment in HAA (95% CI 0.19 to 2.77) and with a 57% greater odds of ILA (OR 1.58, 95% CI 1.18 to 2.08). Greater total cholesterol, HDL-C, LDL-C, and triglyceride levels were each associated with lower HAA (Table 1). However, the associations of both LDL-C and triglycerides with HAA were greatly attenuated by further adjustment for left ventricular function. On the other hand, the association between greater HDL-C and lower HAA was only marginally changed and remained significant (Figure 1). This association also persisted across HDL particle size and for ApoA-1, the major protein component of HDL.

Table 1.

Associations of cholesterol and lipoproteins with HAA.

% change in HAA (95% CI)* P value
Total cholesterol −1.32 (−1.89 to −0.75) <0.001

HDL-C, mg/dL −2.12 (−2.79 to −1.44) <0.001
LDL-C, mg/dL −0.84 (−1.41 to −0.28) 0.004
Triglycerides −0.82 (−1.45 to −0.18) 0.01

Large HDL, 9.4–14 nm −1.10 (−1.93 to −0.26) 0.01
Medium HDL, 8.2–9.4 nm −2.56 (−3.31 to −1.80) <0.001
Small HDL, 7.3–8.2 nm −2.69 (−3.44 to −1.94) <0.001

Large LDL, 20.5–23 nm −1.36 (−2.06 to −0.66) <0.001
Small LDL, 18–20.5 nm −0.73 (−1.56 to 0.11) 0.09

Apolipoprotein A-1 −1.66 (−2.36 to −0.97) <0.001
Apolipoprotein B −0.69 (−1.37 to −0.01) 0.048

Solid lines separate distinct models. Each model includes all exposure variables listed and is additionally adjusted for age, gender, race/ethnicity, educational attainment, height, body mass index, waist circumference, smoking status, cigarette pack-years, glomerular filtration rate, diuretic use, statin use, presence of hypertension, presence of diabetes mellitus, coronary artery calcium, study site, milliampere dose, total volume imaged lung, percent emphysema on CT, interleukin-6 and c-reactive protein.

*

Reported per standard deviation in each exposure variable.

Figure 1.

Figure 1

Continuous association between HDL-C and HAA adjusted for age, gender, race/ethnicity, educational attainment, height, body mass index, waist circumference, smoking status, cigarette pack-years, presence of hypertension, presence of diabetes, low density lipoprotein,, triglycerides, c-reactive protein, interleukin-6, glomerular filtration rate, statin use, diuretic use, coronary artery calcium, study site, milliAmpere dose, total volume imaged lung, percent emphysema on CT, left ventricular ejection fraction and left ventricular end-diastolic mass; p for nonlinearity 0.009, p for association <0.001. Dark dotted line is the continuous association. Thin solid lines are the 95% confidence bands. Each point in the graph and each vertical hashmark in the rug plot along the x-axis represent one study participant.

In a multivariable-adjusted model, there were no associations of baseline HDL-C, LDL-C, triglycerides, ApoA-1, ApoB, presence of DM, HTN, or statin use with the presence of ILA assessed at 10 year follow-up. In a multivariable-adjusted model (Table 2), each SD decrement in HDL-C was associated with a 3.53% increment in MMP-7 (95% CI 0.93 to 6.07%) and a 6.37% increment in SP-A (95% CI 1.35 to 11.13%).

Table 2.

Associations of cholesterol and lipoproteins with MMP-7 and SP-A.

% change in MMP-7 (95% CI)* P value % change in SP-A (95% CI)* P value
Total cholesterol −0.01 (−2.25 to 2.28) 0.99 1.43 (−2.95 to 6.00) 0.52

HDL-C, mg/dL −3.53 (−6.07 to −0.93) 0.008 −6.37 (−11.13 to −1.35) 0.01
LDL-C, mg/dL 0.35 (−2.55 to 1.89) 0.76 3.44 (−0.98 to 8.05) 0.13
Triglycerides 2.81 (0.30 to 5.37) 0.03 −3.11 (−7.69 to 1.70) 0.20

Large HDL, 9.4–14 nm −4.10 (−7.26 to −0.84) 0.01 −14.39 (−19.82 to −8.59) <0.001
Medium HDL, 8.2–9.4 nm −4.92 (−7.61 to −2.14) <0.001 −1.67 (−7.06 to 4.02) 0.56
Small HDL, 7.3–8.2 nm −5.32 (−8.03 to −2.53) <0.001 −8.23 (−13.31 to −2.86) 0.003

Large LDL, 20.5–23 nm −4.86 (−7.50 to −2.15) <0.001 −0.68 (−6.02 to 4.96) 0.81
Small LDL, 18–20.5 nm −1.51 (−4.73 to 1.81) 0.37 −7.35 (−13.18 to −1.12) 0.02

Apolipoprotein A-1 −2.83 (−5.32 to −0.27) 0.03 −4.79 (−9.56 to 0.12) 0.06
Apolipoprotein B 1.74 (−0.64 to 4.18) 0.15 1.51 (−3.06 to 6.36) 0.52

Solid lines separate distinct models. Each model includes all exposure variables listed and is additionally adjusted for age, gender, race/ethnicity, body mass index, smoking status, cigarette pack-years, presence of coronary artery calcium, statin use, interleukin-6 and c-reactive protein.

*

Reported per standard deviation in each exposure variable.

Additional analyses are presented in Supplementary Tables S1–S9 and Figures S1–S2 in the Online Data Supplement.

In this large cohort of community-dwelling adults, the presence of coronary artery calcium was associated with two measures of subclinical ILD (HAA and ILA), providing further support for a link between CVD and ILD.[13] We also found that lower plasma HDL-C and ApoA-1 were each associated with greater HAA and greater serum MMP-7 and SP-A levels, independent of smoking, demographic factors, inflammatory biomarkers and measures of left ventricular function, a finding consistent with a previous study that found lower HDL-C levels in 39 adults with pulmonary fibrosis compared to healthy controls.[6] Our findings suggest a novel hypothesis that HDL-C levels or its components might exert protective effects in subclinical ILD. Candidate mechanisms by which HDL-C might attenuate subclinical lung inflammation, extracellular matrix remodeling, and fibrosis include modulation of endothelial function, protection against inflammation and oxidative stress, and alterations in surfactant function.[1719] ApoA-I has previously been shown to have beneficial effects in reducing lung inflammation and fibrosis in animal models,[7] and greater small and medium-size HDL particle concentrations are associated with increased noncardiovascular, noncancer chronic inflammation-related deaths in MESA,[20] supporting an anti-inflammatory role of small HDL particles in the lungs.

There are several limitations to our study, including the potential for residual confounding, the possibility that HAA likely includes pulmonary edema, the lack of pathological validation of HAA, and the use of cardiac rather than full lung CT scans to measure HAA. In addition, we found that HDL-C was not associated with ILA. This lack of consistency may reflect the ten year latency period between baseline measurements of lipids and ILA, or it may reflect different stages of disease identified by the two measures of subclinical ILD. Furthermore, the clinical significance of elevated HAA, MMP-7 and SP-A in asymptomatic individuals is uncertain, limiting inferences about the role of HDL-C in fibrotic lung disease.

In summary, we found novel associations of greater HDL-C and ApoA-1 levels with lower HAA, a quantitative CT-measure of subclinical lung inflammation and extracellular matrix remodeling, and with biomarkers of lung injury and extracellular matrix remodeling. This finding remains unexplained, but suggests a protective role of lipoproteins in ILD pathogenesis. More work is needed now to elucidate the mechanisms linking these two conditions, and the role that low lipoprotein levels might play in the pathogenesis of ILD.

Supplementary Material

Online Supplement

Acknowledgments

The authors thank the other investigators, the staff, and the participants of the MESA study for their valuable contributions. A full list of participating MESA investigators and institutions can be found at http://www.mesa-nhlbi.org.

FUNDING

The work is funded by the National Institutes of Health contracts HHSN268201500003I, N01-HC-95159, N01-HC-95160, N01-HC-95161, N01-HC-95162, N01-HC-95163, N01-HC-95164, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168 and N01-HC-95169 and grants UL1-TR-000040, UL1-TR-001079, R01-HL-103676, RC1-HL100543, R01-HL-093081, R01-HL-077612, T32-HL-105323, and K24-HL-131937; by the Pulmonary Fibrosis Foundation; and by the Rocco Guinta Research Fund.

Footnotes

CONTRIBUTORS

AJP, DJL, RGB, SJS, KW and SMK conceived and designed the study.

AJP, GR, MYT, RGB, EAH, FSA, SJS and DJL acquired the data.

AJP, SMK, PLE, EP, RS, DR, CJ, RGB, KHS, JJC, DRJ, KW, SJS and DJL analyzed the data.

AJP drafted the initial manuscript.

All authors contributed to the conception and design of the study and to the acquisition, analysis, or interpretation of data.

All authors revised the manuscript for important intellectual content.

All authors approved the final version of the manuscript.

All authors agree to be accountable for all aspects of the work.

COMPETING INTERESTS

Dr. Lederer has received modest consulting fees from Genentech/Roche, Boehringer-Ingelheim, Gilead, Pharmakea, Veracyte, Patara Pharmaceuticals, Degge Group, and the France Foundation related to IPF. Columbia University has received funding for clinical trials in IPF from Boehringer-Ingelheim, Gilead, Bayer, Global Blood Therapeutics. Columbia University has received funding from the Pulmonary Fibrosis Foundation for Dr. Lederer’s consulting services. Dr. Lederer has received modest fees for serving as a Deputy Editor for the Annals of the American Thoracic Society and as a Statistical Editor for Thorax.

Dr. Kawut reports grants from NIH during the conduct of the study and non-financial support from the ATS. He has received personal fees from the European Respiratory Journal for serving on an editorial board. The University of Pennsylvania has received grants from Actelion, grants from United Therapeutics, grants from Gilead, grants from Lung Biotech, grants from Bayer for CME courses.

Dr. Hoffman is a founder and shareholder in VIDA Diagnostics, a company commercializing lung image analysis software developed, in part, at the University of Iowa.

Drs. Ahmed, Barr, Carr, Enright, Hinckley Stukovsky, Jacobs, Podolanczuk, Rabinowitz, Raghu, Shea, Sonti, Tsai, Watson, and Mr. Johnson and Peterson have no relevant disclosures.

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