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FEV1 inversely correlates with metalloproteinases 1, 7, 9 and CRP in COPD by biomass smoke exposure

Respiratory Research volume 15, Article number: 74 (2014) Cite this article

Abstract

Background

Matrix metalloproteinases (MMPs) and C-reactive protein (CRP) are involved in chronic obstructive pulmonary disease (COPD) pathogenesis. The aim of the present work was to determine plasma concentrations of MMPs and CRP in COPD associated to biomass combustion exposure (BE) and tobacco smoking (TS).

Methods

Pulmonary function tests, plasma levels of MMP-1, MMP-7, MMP-9, MMP-9/TIMP-1 and CRP were measured in COPD associated to BE (n = 40) and TS (n =40) patients, and healthy non-smoking (NS) healthy women (controls, n = 40).

Results

Plasma levels of MMP-1, MMP-7, MMP-9, and MMP-9/TIMP-1 and CRP were higher in BE and TS than in the NS healthy women (p <0.01). An inverse correlation between MMP-1, MMP-7, MMP-9, MMP-9/TIMP-1 and CRP plasma concentrations and FEV1 was observed.

Conclusions

Increase of MMPs and CRP plasma concentrations in BE suggests a systemic inflammatory phenomenon similar to that observed in COPD associated to tobacco smoking, which may also play a role in COPD pathogenesis.

Introduction

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality and morbidity worldwide [1]. Although tobacco smoking is well recognized as the major risk factor for the disease, exposure to biomass smoke (BE) and other fuel combustion products has also been described as an additional risk factor [2, 3]. The association between BE, mainly wood smoke and COPD in different populations, particularly in developing countries where wood is used as fuel for cooking and heating, has been established [4–6]. The clinical profile of COPD associated with BE and its prognostic factors have been described in Mexican population [3, 5]. Women are more susceptible than men to this disease exhibiting bronchial symptoms, decreased exercise capacity, changes in quality of life, and augmented use of healthcare services and supplemental oxygen. Nevertheless, a lot of questions about its pathogenesis and molecular mechanisms associated with biomass combustion exposure remain unanswered [2, 3].

Several recent reports have suggested that a persistent, low-level, systemic inflammation plays a significant pathogenic role in COPD. Accordingly, elevated circulating levels of C-reactive protein (CRP) among other inflammatory markers [7], such as plasma and sputum matrix metalloproteinases (MMPs) and the tissue inhibitor of metalloproteinase-(TIMP)-1 levels have been reported, suggesting their participation in the pathogenesis of COPD secondary to TS [8–11].

Despite the growing evidences of BE as a risk factor for COPD, very little information on systemic inflammation and pathogenic mechanisms has been described [6, 7] and so far, there are few studies describing inflammatory molecules associated to changes in FEV1 in COPD due to BE.

The aim of the present study was to determine plasma concentrations of matrix metalloproteinase-(MMP)-1, MMP-7, MMP-9, MMP-9/TIMP-1, and CRP in COPD associated with BE, specifically to wood smoke. A group of non-smoking (NS) healthy women was considered as control group and data were compared with subjects having COPD associated to tobacco smoke (TS).

Materials and methods

Study population

Eighty women with a clinical and functional diagnosis of COPD associated with BE or tobacco smoke were recruited from the COPD Clinic from January to December 2013. The quantity of tobacco smoked and the degree of exposure to BE was determined by a clinical interview, using the Spanish version of a validated instrument that was modified to include additional questions directly related to fuels used for cooking and heating [12]. The main inclusion criterion was a history of daily wood smoke exposure for at least 200 hours/year or a history of tobacco smoking of at least >10 pack/year. Cumulative exposure to wood smoke was expressed as hours/year, which was calculated by multiplying the number of years of cooking with wood by the average of daily hours spent cooking [5].

COPD diagnosis was confirmed by medical history and spirometry results, which were interpreted according to the GOLD criteria [13]. We excluded from the study groups those subjects who had both BE and tobacco exposure or a history of other chronic pulmonary conditions such as asthma, tuberculosis or bronchiectasis. Patients with COPD that participated in this study were clinically stable, with no history of exacerbations for at least 6 weeks prior to the study. Forty healthy non-smoking (NS) women volunteers with normal spirometry values, without a history of tobacco smoking or biomass smoke exposure, with no signs of infectious respiratory disease during the past 3 weeks and no history of asthma, allergy or other diseases were considered as the control group.

Informed consent was obtained from each subject and the protocol was approved by the local Ethic and Research Committees at the Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas (Protocol number B 25-12).

Measurements

Pulmonary function tests

All subjects were evaluated through spirometry both pre- and post-bronchodilator following the procedures recommended by the American Thoracic Society/European Respiratory Society [14]; accordingly, a dry rolling-seal volume spirometer (Sensormedics, Yorbalinda, CA, USA) was used, and Mexican standard reference equations were applied [15]. These reference equations are similar to the National Health and Nutrition Examination Survey III values for Mexican-Americans [16].

Diagnosis of COPD was established according to the history of tobacco smoking or wood smoke exposure and pulmonary function tests after inhalation of 400 μg of salbutamol [13].

Venous blood samples were collected from COPD patients and NS in 5 mL lithium heparin-coated tubes, centrifuged and plasma protein content was measured by the bincinchoninic acid protein assay (Pierce Chemical Company, Rockford, IL, USA) [17]. Plasma samples were stored at -70°C until analyzed.

Plasma MMPs and CRP quantification

Concentrations of plasma MMP-1, MMP-7, MMP-9, MMP-9/TIMP-1 complex (duo set) and CRP were determined by commercially available ELISA kits (R&D Systems, Minneapolis, MN, USA), according to the manufacturers’ instructions. The detection limits were: 0.023 ng/mL for MMP-1, 0.016 ng/mL for MMP-7, 0.36 ng/mL for MMP-9, 10.0 pg/mL for TIMP-1 and 0.02 μg/mL for C-reactive protein.

Statistical analysis

Data were expressed as mean ± SD for at least three independent experiments. One-way analysis of variance (ANOVA) followed by Tukey’s test were used to adjust multiple comparisons between groups. Associations between variables were performed using Pearson’s correlation coefficient (r). The SPSS software for Windows (Chicago, IL) was used for statistical analyses; p <0.05 was considered statistically significant.

Results

Patients’ clinical characteristics

General clinical characteristics of COPD patients with BE or tobacco smoke and control subjects are shown in Table 1. Patients with BE were significantly older, shorter and with higher BMI than tobacco smoke subjects and healthy control women. The mean exposure to biomass was 230 ± 132 hours/year, whereas smokers had a mean cumulative tobacco consumption of 50 ± 30 pack/year. Despite women with BE showing a significantly lower SaO2, no differences were observed in the domains of the CRQ nor in the GOLD stages (Table 1).

Table 1 Clinical characteristics of COPD and NS healthy women (control)
Full size table

Pulmonary function tests

Both FEV1 (% predicted) and FVC (% predicted) were significantly lower in women with COPD associated to smoking in comparison to control healthy women and with BE (Table 1); similarly FVC values and FEV1/FVC ratio were lower in TS and BE than in controls (Table 1). Finally, it is important to note that in terms of the GOLD classification, BE patients differ of TS patients because the majority (83%) of them are included within stages I and II, whereas TS patients are more homogenously distributed, although this difference was not statistically significant (Table 1, p = 0.075). No differences in the rate of exacerbations were found.

MMPs plasma concentrations

Plasma concentration of MMP-1, MMP-7 (Figure 1), MMP-9 and the MMP-9/TIMP-1 complex (Figure 2) showed a significant increase both in tobacco smokers and BE groups in comparison with the NS control group; however, no significant differences were found among the COPD groups (Table 2).

Figure 1
figure 1

Plasma levels of MMP-1 and MMP-7 in COPD groups compared with NS healthy women (controls), and relationship between plasma MMP-1 and MMP-7 and FEV 1 (% predicted). There was a significant difference between BE and TS with NS healthy subjects. No difference was found among COPD groups: (A) MMP-1. (B) MMP-1 between MMP-1 or MMP-7 and FEV1 (% predicted) in COPD and NS healthy women performed with the Pearson correlation coefficient (r). (C) MMP-1; r = 0.4904 and p <0.0001. (D) MMP-7; r = 0.2902 and p <0.0013. Results are expressed as mean ± SD; p <0.01. NS (▪). TS (▲). BE (●).

Full size image
Figure 2
figure 2

There were significant differences among BE and TS groups when compared with NS healthy women. COPD groups did not show any difference: (A) MMP-9. (B) MM9-9/TIMP-1 complex. Relationship between MMP-9 and MM9-9/TIMP-1 complex with the FEV1 (% predicted) in COPD and NS healthy women was performed with the Pearson correlation coefficient (r). (C) MMP-9; r = 0.8037 and p <0.0001; (D) MMP-9/TIMP-1 complex; r = 0.2150 and p <0.0163. Results are expressed as mean ± SD; p <0.01. NS (▪). TS (▲). BE (●).

Full size image
Table 2 Plasma concentration of MMPs, MMP-9/TIMP-1 complex and C-reactive protein
Full size table

CRP plasma levels in COPD patients

There was a significant increase in CRP plasma levels both in tobacco smokers and BE COPD patients compared with NS control subjects (Figure 3). Despite the scattered picture that can be observed in the obtained data, no significant difference among COPD groups was observed (Table 2).

Figure 3
figure 3

Plasma levels of the C-reactive protein (CRP) in COPD and NS healthy women, and relationship between CRP and FEV 1 (% predicted). There were significant differences among BE and TS groups when compared with NS healthy women. COPD groups did not show difference among them: (A) plasma levels of CRP. (B) Relationship between plasma levels of CRP in COPD and NS healthy women with the FEV1 (% predicted) performed with the Pearson correlation coefficient (r). r = 0.4227 and p <0.0001. Results are expressed as mean ± SD; p <0.01. NS (▪). TS (▲). BE (●).

Full size image

FEV1correlations

An inverse correlation between MMP-1, MMP-7, MMP-9, MMP-9/TIMP-1 and CRP plasma concentrations with changes in observed FEV1 (% predicted) in both COPD groups when compared to control group was observed (Figures 1, 2 and 3).

Discussion

The main findings of this work are that: 1) metalloproteinases 1, 7, and 9, the MMP-9/TIPM-1 ratio and CRP concentrations are increased in plasma of subjects with COPD associated to BE, and: 2) an association among these increases and FEV1 exists.

Several studies carried out in different populations around the world have established that domestic exposure to biomass solid fuels combustion products is now considered an important risk factor for COPD, mainly in developing countries [3, 4, 6, 18]. A number of similarities including mortality among COPD associated with TS and BE have been observed [3, 6]. However, information on the possible role of candidate molecules already involved in the pathogenesis of COPD associated with tobacco exposure is scant in BE [6]. In the present work, we studied the possible role of some of those molecules. All study subjects selected were women because most patients with COPD secondary to domestic BE reported in Mexico are females [4, 5, 12].

MMPs play an important role in the turnover of almost all extracellular matrix molecules and are therefore probably involved in COPD pathogenesis [8, 19]. An increase in serum or plasma MMP-1 and MMP-7 concentration in COPD associated to tobacco smoking has already been demonstrated. Our current findings in BE occur in a similar way, suggesting that these enzymes could be involved in interstitial EM turnover [20–22]. MMP-9 plasma levels and activity have been extensively studied in patients with COPD secondary to tobacco smoke, demonstrating an active role of these enzymes during the inflammatory process that characterizes COPD, especially in the degradation of interstitial and basal membranes molecules of EM, such as types I and IV collagen and elastic fibers [23–25]. Additionally, an increase of MMP-9 has been reported in sputum, blood and lung tissue from smokers with COPD [26–30]. On the other hand, MMP-9 is inhibited by TIMP-1 and an imbalance in the MMP-9/TIMP-1 ratio could be involved in COPD pathogenesis. In this regard, Kang et al demonstrated a correlation among the increase in the MMP-9/TIMP-1 complex in lung tissue from smokers and the airflow obstruction observed [31] and Higashimoto et colleagues [20] found that circulating TIMP-1 concentration was significantly higher in stable COPD patients. This and our report suggest that excess amounts of TIMP-1 compared with those of MMP-9 may be related to airway narrowing. Moreover, our study showed an increase in the MMP-9/TIMP-1 complex that inversely correlated with airflow obstruction in both smokers and BE COPD patients, suggesting a role in COPD associated to BE as it occurs in tobacco smokers.

The increase of CRP plasma concentration has been observed in patients with COPD associated with tobacco exposure as well as in former smokers, suggesting that the inflammatory process persists even when the exposure to a risk factor has ceased [32]. Moreover, Higashimoto et colleagues examined various inflammatory markers where only serum CRP and MMP-9 levels were related to FEV1 decline [33]. CRP plasma concentration in biomass smoke-exposed women was previously studied in a group of subjects with COPD related to BE [34]. Although the study sample was small (11 non-smoking subjects), those data and ours suggest that these women develop a systemic inflammation similar to that observed in smokers. In this context, the association showing that the lower the FEV1 the higher the CRP levels, supports the possible role of CRP as a biomarker of systemic inflammation in BE. Our results also show that the history and annual rate of exacerbations did not affect the levels of the studied molecules since the frequency is similar in both groups of COPD.

Conclusions

We report an increase of MMP-1, MMP-7, MMP-9, MMP-9/TIMP-1 ratio and CRP plasma concentrations and a correlation with FEV1 in women with COPD associated to BE that is similar to that observed in smokers with COPD. Further research is needed to clarify if these MMPs and the CRP participate in the pathogenesis of COPD in women exposed to BE.

Abbreviations

BE:

Biomass exposure

COPD:

Chronic obstructive pulmonary disease

CRP:

C-reactive protein

FEV1:

Forced expiratory volume in the 1st second

EM:

Extracellular matrix

FVC:

Forced vital capacity

GOLD:

Global Initiative for Chronic Obstructive Lung Disease

MMP-1:

Matrix metalloproteinase-1

MMP-7:

Matrix metalloproteinase-7

MMP-9:

Matrix metalloproteinase-9

NS:

Non-smoking

TIMP-1:

Tissue inhibitor of metalloproteinase-1

TS:

Tobacco smoking.

References

  1. Tuder RM, Petrache I: Pathogenesis of chronic obstructive pulmonary disease. J Clin Invest. 2012, 122: 2749-2755.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  2. Goldcopd.org Global Strategy for the Diagnosis: Management, and Prevention of Chronic Obstructive Pulmonary Disease. Updated January 2014. Available from: http://www.goldcopd.org/guidelines-global-strategy-for-diagnosis-management.html.

  3. Hu G, Zhou Y, Tian J, Yao W, Li J, Li B, Ran P: Risk of COPD from exposure to biomass smoke: a metaanalysis. Chest. 2010, 138: 20-31.

    Article  PubMed  Google Scholar 

  4. Pérez-Padilla R, Regalado J, Vedal S, Paré P, Chapela R, Sansores R, Selman M: Exposure to biomass smoke and chronic airway disease in Mexican women. A case-control study. Am J Respir Crit Care Med. 1996, 54: 701-706.

    Article  Google Scholar 

  5. Ramírez-Venegas A, Sansores RH, Pérez-Padilla R, Regalado J, Velázquez A, Sánchez C, Mayar ME: Survival of patients with chronic obstructive pulmonary disease due to biomass smoke and tobacco. Am J Respir Crit Care Med. 2006, 173: 393-397.

    Article  PubMed  Google Scholar 

  6. Naeher LP, Brauer M, Lipsett M, Zelikoff JT, Simpson CD, Koenig JQ, Smith KR: Wood smoke health effects: a review. Inhal Toxicol. 2007, 19: 67-106.

    Article  PubMed  CAS  Google Scholar 

  7. Rylance J, Gordon SB, Naeher LP, Patel A, Balmes JR, Adetona O, Rogalsky DK, Martin WJ: Household air pollution: a call for studies into biomarkers of exposure and predictors of respiratory disease. Am J Physiol Lung Cell Mol Physiol. 2013, 304: L571-L578.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  8. Ólafsdóttir IS, Janson C, Lind L, Hulthe J, Gunnbjörnsdótti M, Sundströ J: Serum levels of matrix metalloproteinase-9, tissue inhibitors of metalloproteinase-1 and their ratio are associated with impaired lung function in the elderly: a population-based study. Respirology. 2010, 15: 530-535.

    Article  PubMed  Google Scholar 

  9. Demedts IK, Brusselle GG, Bracke KR, Vermaelen KY, Pauwels RA: Matrix metalloproteinases in asthma and COPD. Curr Opin Pharmacol. 2005, 5: 257-263.

    Article  PubMed  CAS  Google Scholar 

  10. Shaaban R, Kony S, Driss F, Leynaert B, Soussan D, Pin I, Neukirch F, Zureik M: Change in C-reactive levels and FEV1 decline: a longitudinal population-based study. Respir Med. 2006, 100: 2112-2120.

    Article  PubMed  Google Scholar 

  11. Dahl M, Vestbo J, Zacho J, Lange P, Tybjærg-Hansen A, Nordestgaard BG: C reactive protein and chronic obstructive pulmonary disease: a Mendelian randomisation approach. Thorax. 2011, 66: 197-204.

    Article  PubMed  Google Scholar 

  12. Menezes AM, Victora CG, Perez-Padilla R, PLATINO Team: The Platino project. Methodology of a multicenter prevalence survey of chronic obstructive pulmonary disease in major Latin American cities. BMC Med Res Methodol. 2004, 4: 15-

    Article  PubMed  PubMed Central  Google Scholar 

  13. Rabe KF, Hurd S, Anzueto A, Barnes PJ, Buist SA, Calverley P, Fukuchi Y, Jenkins C, Rodriguez-Roisin R, van Weel C, Zielinski J: Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2007, 176: 532-555.

    Article  PubMed  Google Scholar 

  14. Celli BR, MacNee W: ATS/ERS task force. Standards for the diagnosis and treatment of patients with COPD: a summary of the ATS/ERS position paper. Eur Respir J. 2004, 23: 932-946.

    Article  PubMed  CAS  Google Scholar 

  15. Pérez-Padilla R, Regalado J, Vázquez-García JC: Reproducibilidad espirométrica y adecuación a valores de referencia internacionales en trabajadores mexicanos demandando incapacidad. Salud Publ Mex. 2001, 43: 113-121.

    Google Scholar 

  16. Hankinson JL, Odencrantz JR, Fedan KB: Spirometric reference values from a sample of the general U.S. population. Am J Respir Crit Care Med. 1999, 159: 179-187.

    Article  PubMed  CAS  Google Scholar 

  17. Smith PK, Krohn RI, Hermanson GT, Mallia AK, Gartner FH, Provenzano MD, Fujimoto EK, Boeke NM, Olson BJ, Klenk DC: Measurement of protein using bicinchoninic acid. Anal Biochem. 1985, 150: 76-85.

    Article  PubMed  CAS  Google Scholar 

  18. Morandi MT, Ward TJ: The risk assessment workgroup. Biomass risk assessment: defining the questions. Inhal Toxicol. 2010, 22: 94-98.

    Article  PubMed  CAS  Google Scholar 

  19. Chung KF, Adcock IM: Multifaceted mechanisms in COPD. Inflammation, immunity, and tissue repair and destruction. Eur Respir J. 2008, 31: 1334-1356.

    Article  PubMed  CAS  Google Scholar 

  20. Higashimoto Y, Yamagata Y, Iwata T, Okada M, Ishiguchi T, Sato H, Masuda M, Itoh H: Increased serum concentrations of tissue inhibitor of metalloproteinase-1 in COPD patients. Eur Respir J. 2005, 25: 885-890.

    Article  PubMed  CAS  Google Scholar 

  21. Navratilova Z, Zatloukal J, Kriegova E, Kolek V, Petrek M: Simultaneous up-regulation of matrix metalloproteinases 1, 2, 3, 7, 8, 9 and tissue inhibitors of metalloproteinases 1, 4 in serum of patients with chronic obstructive pulmonary disease. Respirology. 2012, 17: 1006-1012.

    Article  PubMed  Google Scholar 

  22. Pinto-Plata V, Toso J, Lee K, Park D, Bilello J, Mullerova H, De Souza MM, Vessey R, Celli B: Profiling serum biomarkers in patients with COPD: associations with clinical parameters. Thorax. 2007, 62: 595-601.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Skjot-Arkil H, Clausen RE, Nguyen QHT, Wang Y, Zheng Q, Martinez FJ, Hogaboam CM, Han M, Kickstein L, Larsen MR, Nawrocki A, Leeming DJ, Karsdal MA: Measurement of MMP-9 and MMP-12 degraded elastin (ELM) provides unique information on lung tissue degradation. BMX Pulm Med. 2012, 12: 34-

    Article  Google Scholar 

  24. Simpson JL, McDonald VM, Baines KJ, Oreo KM, Wang F, Hansbro PM, Gibson PG: Influence of age, past smoking, and disease severity on TLR2, neutrophilic inflammation, and MMP-9 levels in COPD. Mediat Inflamm. 2013, 2013: 462934-

    Article  Google Scholar 

  25. Noguera A, Gomez C, Faner R, Cosio B, Gonzalez-Periz A, Claria J, Carvajal A, Agusti A: An investigation of the resolution of inflammation (catabasis) in COPD. Respir Res. 2012, 13: 1-9.

    Article  Google Scholar 

  26. Ilumets H, Rytila P, Demedts I, Brusselle GG, Sovijarvi A, Myllarniemi M, Sorsa T, Kinnnula VL: Matrix metalloproteinases -8, -9 and -12 in smokers and patients with Stage 0 COPD. Int J Chron Obstruct Pulmon Dis. 2007, 2: 369-379.

    PubMed  CAS  PubMed Central  Google Scholar 

  27. Ilumets H, Mazur W, Tojamo T, Louhelainen N, Nieminen P, Kobayashi H, Ishikawa N, Kinnula VL: Ageing and smoking contribute to plasma surfactant proteins and protease imbalance with correlations to airway obstruction. BMC Pulm Med. 2011, 11: 19-28.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Kang MJ, Oh YM, Lee JC, Kim DG, Park MJ, Lee MG, Hyun IG, Han SK, Shim YS, Jung KS: Lung matrix metalloproteinase-9 correlates with cigarette smoking and obstruction of airflow. J Korean Med Sci. 2003, 18: 821-827.

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  29. Brajer B, Batura-Gabryel H, Mowicka A, Kuznar-Kaminska B, Szczepanik A: Concentration of matrix metalloproteinase-9 in serum of patients with chronic obstructive pulmonary disease and a degree of airway obstruction and disease progression. J Physiol Pharmacol. 2008, 59 (Suppl 6): 145-152.

    PubMed  Google Scholar 

  30. D’Armiento JM, Goldklang MP, Hardigan AA, Geraghty P, Roth MD, Connett JE, Wise RA, Sciurba FC, Scharf SM, Thankachen J, Islam M, Ghio AJ, Foronjy RF: Increased Matrix Metalloproteinase (MMPs) Levels Do Not Predict Disease Severity or Progression in Emphysema. PLoS One. 2013, 8: e56352-

    Article  PubMed  PubMed Central  Google Scholar 

  31. Kwiatkowska S, Noweta K, Zieba M, Nowak D, Bialasiewicz P: Enhanced exhalation of matrix metalloproteinase-9 and tissue inhibitor of metalloproteinase- in patients with COPD exacerbations: prospective study. Respiration. 2012, 804: 231-241.

    Article  Google Scholar 

  32. De Torres JP, Cordoba-Lanus E, López-Aguilar C, Muros de Fuentes M, Montejo de Garcini A, Aguirre-Jaime A, Celli BR, Casanova C: C-reactive protein levels and clinically important predictive outcomes in stable COPD patients. Eur Respir J. 2006, 27: 902-907.

    PubMed  CAS  Google Scholar 

  33. Higashimoto Y, Iwata T, Okada M, Satoh H, Fukuda K, Tohda Y: Serum biomarkers as predictors of lung function decline in chronic obstructive pulmonary disease. Respir Med. 2009, 103: 1231-1238.

    Article  PubMed  Google Scholar 

  34. Funda A, Funda A, Nermin Ç, Kurtuluş A, Ruhsar O, Sema C, Bünyamin Y, Kadir Okhan A: C-reactive protein levels are raised in stable Chronic obstructive pulmonary disease patients independent of smoking behavior and biomass exposure. J Thorac Dis. 2013, 5: 414-421.

    Google Scholar 

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Acknowledgement

This work was supported by a grant from CONACYT (México): Salud-2012-01-181467.

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Author notes

    Authors and Affiliations

    1. Departamento de Fibrosis Pulmonar, Calzada de Tlalpan 4502, Tlalpan D.F. México, C.P. 14080, México, DF, Mexico

      Martha Montaño, Carina Becerril, Jose Cisneros, Iliana Herrera & Carlos Ramos

    2. Departamento de investigación en Tabaquismo, Calzada de Tlalpan 4502, Tlalpan D.F. México, C.P. 14080, México, DF, Mexico

      Raul H Sansores, Leticia Ochoa & Alejandra Ramírez-Venegas

    3. Departamento de Enfermedades Crónico Degenerativas, Calzada de Tlalpan 4502, Tlalpan D.F. México, C.P. 14080, México, DF, Mexico

      Georgina González-Avila

    4. Departamento de Hiperreactividad Bronquial, Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas, Calzada de Tlalpan 4502, Tlalpan D.F. México, C.P. 14080, México, DF, Mexico

      Bettina Sommer

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    Authors’ contributions

    MM and RS conceived and designed the study conception and design, had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. JC contributed in the analysis and interpretation of statistical data, drafting of the manuscript and reading and approving the final manuscript. CB contributed in the analysis and interpretation of biochemical data, drafting of the manuscript and reading and approving the final manuscript. GG-A contributed in the analysis and interpretation of data, drafting of the manuscript for important intellectual content and reading and approving the final manuscript. BS contributed in the analysis and interpretation of data, drafting of the manuscript for important intellectual content and reading and approving the final manuscript. AR-V contributed in the analysis and interpretation of clinical data, drafting of the manuscript and reading and approving the final manuscript. IH: contributed in the analysis and interpretation of biochemical data and reading and approving the final manuscript. LO contributed in the collection of clinical material and reading and approving the final manuscript. CR contributed to study conception and design, analysis and interpretation of data, drafting of the manuscript for important intellectual content and reading and approving the final manuscript. All authors read and approved the final manuscript.

    Martha Montaño, Raul H Sansores contributed equally to this work.

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    Montaño, M., Sansores, R.H., Becerril, C. et al. FEV1 inversely correlates with metalloproteinases 1, 7, 9 and CRP in COPD by biomass smoke exposure. Respir Res 15, 74 (2014). https://doi.org/10.1186/1465-9921-15-74

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