Skip to main content

Luminal Crohn’s Disease

  • Chapter
  • First Online:
Biomarkers in Inflammatory Bowel Diseases

Abstract

Crohn’s disease (CD) is a chronic inflammatory disorder which can lead to progressive intestinal damage and debilitating complications over time. Therefore, obtaining an accurate assessment of disease activity is paramount for risk-stratifying patients and initiating or escalating therapy when appropriate. Within the classic management paradigm, treatment decisions have been largely predicated on patient-reported symptoms. However, more recent evidence suggests that the correlation between clinical symptoms and endoscopically active disease is poor. A significant proportion of patients in clinical remission will have unrecognized active disease; conversely, many patients with mucosal healing will continue to have symptoms. This disconnect highlights the fact that focusing solely on clinical remission will inevitably lead to either undertreating those with clinically silent disease or overtreating those with symptoms unrelated to their CD.

Therefore, in addition to assessing clinical symptoms, there is a need to incorporate more objective markers of disease activity into the management of CD. In the pursuit of providing such information, a number of tools have been assessed in their ability to risk stratify patients, predict active disease, assess risk of relapse or recurrence, and monitor response to therapy. These include serologic, fecal, radiographic, and endoscopic modalities. When used in concert with clinical symptoms, they provide a more detailed and accurate assessment of overall disease activity, in turn allowing for more informed therapeutic decision-making.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Jones J, Loftus EV, Panaccione R, et al. Relationships between disease activity and serum and fecal biomarkers in patients with Crohn’s disease. Clin Gastroenterol Hepatol. 2008;6(11):1218–24.

    Article  PubMed  Google Scholar 

  2. Peyrin-Biroulet L, Reinisch W, Colombel J-F, et al. Clinical disease activity, C-reactive protein normalisation and mucosal healing in Crohn’s disease in the SONIC trial. Gut. 2013;63(1):88–95.

    Article  PubMed  Google Scholar 

  3. Frøslie KF, Jahnsen J, Moum BA, et al. Mucosal healing in inflammatory bowel disease: results from a Norwegian population-based cohort. Gastroenterology. 2007;133(2):412–22.

    Article  PubMed  Google Scholar 

  4. Baert F, Moortgat L, Van Assche G, et al. Mucosal healing predicts sustained clinical remission in patients with early-stage Crohn’s disease. Gastroenterology. 2010;138(2):463–8.

    Article  PubMed  Google Scholar 

  5. Schnitzler F, Fidder H, Ferrante M, et al. Mucosal healing predicts long-term outcome of maintenance therapy with infliximab in Crohn’s disease. Inflamm Bowel Dis. 2009;15(9):1295–301.

    Article  PubMed  Google Scholar 

  6. Panaccione R, Colombel J-F, Louis E, et al. Evolving definitions of remission in Crohn’s disease. Inflamm Bowel Dis. 2013;19(8):1645–53.

    Article  PubMed  Google Scholar 

  7. Levesque BG, Sandborn WJ, Ruel J, et al. Converging goals of treatment and inflammatory bowel disease from clinical trials and practice. Gastroenterology. 2015;148(1):37–51.e1.

    Article  PubMed  Google Scholar 

  8. Solem CA, Loftus EV, Tremaine WJ, et al. Correlation of C-reactive protein (CRP) with clinical, radiographic, and endoscopic activity in inflammatory bowel disease (IBD). Inflamm Bowel Dis. 2005;11(8):707–12.

    Article  PubMed  Google Scholar 

  9. Chamouard P, Richert Z, Meyer N, et al. Diagnostic value of C-reactive protein for predicting activity level of Crohn’s disease. Clin Gastroenterol Hepatol. 2006;4(7):882–7.

    Article  CAS  PubMed  Google Scholar 

  10. Jürgens M, Machachie J, Cleynen I, et al. Levels of C-reactive protein are associated with response to infliximab therapy in patients with Crohn’s disease. Clin Gastroenterol Hepatol. 2011;9(5):421–427.e1.

    Article  PubMed  CAS  Google Scholar 

  11. Colombel JF, Sandborn WJ, Reinsch W, et al. Infliximab, azathioprine, or combination therapy for Crohn’s disease. N Engl J Med. 2010;362(15):1383–95.

    Article  CAS  PubMed  Google Scholar 

  12. Louis E, Vermeire S, Rutgeerts P, et al. A positive response to infliximab in Crohn disease: association with a higher systemic inflammation before treatment but not with -308 TNF gene polymorphism. Scand J Gastroenterol. 2002;37(7):818–24.

    Article  CAS  PubMed  Google Scholar 

  13. Kiss LS, Papp M, Lovasz BD, et al. High-sensitivity C-reactive protein for identification of disease phenotype, active disease, and clinical relapses in Crohn’s disease: a marker for patient classification? Inflamm Bowel Dis. 2012;18(9):1647–54.

    Article  PubMed  Google Scholar 

  14. Koelewijn CL, Schwartz MP, Samsom M, et al. C-reactive protein levels during a relapse of Crohn’s disease are associated with the clinical course of the disease. World J Gastroenterol. 2008;14(1):85–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Oh K, Oh EH, Baek S, et al. Elevated C-reactive protein level during clinical remission can predict poor outcomes in patients with Crohn’s disease. PLoS One. 2017;12(6):e0179266.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Henriksen M, Jahnsen J, Lygren I, et al. C-reactive protein: a predictive factor and marker of inflammation in inflammatory bowel disease. Results from a prospective population-based study. Gut. 2008;57(11):1518–23.

    Article  CAS  PubMed  Google Scholar 

  17. Yang DH, Yang SK, Park SH, et al. Usefulness of C-reactive protein as a disease activity marker in Crohn’s disease according to the location of disease. Gut Liver. 2015;9(1):80–6.

    Article  CAS  PubMed  Google Scholar 

  18. Kwon JH, Im JP, Ye BD, et al. Disease phenotype, activity and clinical course prediction based on C-reactive protein levels at diagnosis in patients with Crohn’s disease: results from the CONNECT Study. Gut Liver. 2016;10(4):595–603.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Regueiro M, Kip KE, Schraut W, et al. Crohn’s disease activity index does not correlate with endoscopic recurrence one year after ileocolonic resection. Inflamm Bowel Dis. 2011;17:118–26.

    Article  PubMed  Google Scholar 

  20. Brull DJ, Serrano N, Zito F, et al. Human CRP gene polymorphism influences CRP levels: implications for the prediction and pathogenesis of coronary heart disease. Arterioscler Thromb Vasc Biol. 2003;23(11):2063–9.

    Article  CAS  PubMed  Google Scholar 

  21. Kovacs A, Green F, Hansson LO, et al. A novel common single nucleotide polymorphism in the promoter region of the C-reactive protein gene associated with the plasma concentration of C-reactive protein. Atherosclerosis. 2005;178:193–8.

    Article  CAS  PubMed  Google Scholar 

  22. Florin TH, Paterson EW, Fowler EV, et al. Clinically active Crohn’s disease in the presence of a low C-reactive protein. Scand J Gastroenterol. 2006;41(3):306–11.

    Article  CAS  PubMed  Google Scholar 

  23. Schoepfer AM, Beglinger C, Straumann A, et al. Fecal calprotectin correlates more closely with the simple endoscopic score for Crohn’s disease (SES-CD) than CRP, blood leukocytes, and the CDAI. Am J Gastroenterol. 2010;105(1):162–9.

    Article  CAS  PubMed  Google Scholar 

  24. Sipponen T, Savilahti E, Kolho KL, et al. Crohn’s disease activity assessed by fecal calprotectin and lactoferrin: correlation with Crohn’s disease activity index and endoscopic findings. Inflamm Bowel Dis. 2008;14(1):40–6.

    Article  PubMed  Google Scholar 

  25. Lewis JD. The utility of biomarkers in the diagnosis and therapy of inflammatory bowel disease. Gastroenterology. 2011;140(6):1817–26.

    Article  CAS  PubMed  Google Scholar 

  26. Sipponen T, Bjorkesten CG, Farkkila M, et al. Faecal calprotectin and lactoferrin are reliable surrogate markers of endoscopic response during Crohn’s disease treatment. Scand J Gastroenterol. 2010;45:325–31.

    Article  CAS  PubMed  Google Scholar 

  27. De Suray N, Salleron J, Vernier-Massouille G, et al. Close monitoring of CRP and fecal calprotectin levels to predict relapse in Crohn’s disease patients. A sub-analysis of the STORI study. J Crohns Colitis. 2012;6(1):P274.

    Google Scholar 

  28. Costa F, Mumolo MG, Caccarelli L, et al. Calprotectin is a stronger predictive marker of relapse in ulcerative colitis than in Crohn’s disease. Gut. 2005;54(3):363–8.

    Article  CAS  Google Scholar 

  29. D’Inca R, Dal Pont E, Di Leo V, et al. Can calprotectin predict relapse risk in inflammatory bowel disease? Am J Gastroenterol. 2008;103(8):2007–14.

    Article  PubMed  CAS  Google Scholar 

  30. Laharie D, Mesli S, El Hajbi F, et al. Prediction of Crohn’s disease relapse with faecal calprotectin in infliximab responders: a prospective study. Aliment Pharmacol Ther. 2011;34(4):462–9.

    Article  CAS  PubMed  Google Scholar 

  31. Garcia-Sanchez V, Iglesias-Flores E, Gonzalez R, et al. Does fecal calprotectin predict relapse in patients with Crohn’s disease and ulcerative colitis? J Crohns Colitis. 2010;4(2):144–52.

    Article  PubMed  Google Scholar 

  32. Tibble JA, Sigthorsson G, Bridger S, et al. Surrogate markers of intestinal inflammation are predictive of relapse in patients with inflammatory bowel disease. Gastroenterology. 2000;119(1):15–22.

    Article  CAS  PubMed  Google Scholar 

  33. Jensen MD, Kjeldsen J, Nathan T. Fecal calprotectin is equally sensitive in Crohn’s disease affecting the small bowel and colon. Scand J Gastroenterol. 2011;46(6):694–700.

    Article  CAS  PubMed  Google Scholar 

  34. Harranz Bachiller MT, Barrio Andres J, Fernandez Salazar L, et al. The utility of faecal calprotectin to predict post-operative recurrence in Crohn’s disease. Scand J Gastroenterol. 2016;51(6):720–6.

    Article  CAS  Google Scholar 

  35. Orlando A, Modesto I, Castiglione P, et al. The role of calprotectin in predicting endoscopic post-surgical recurrence in asymptomatic Crohn’s disease: a comparison with ultrasound. Eur Rev Med Pharmacol Sci. 2006;10(1):17–22.

    CAS  PubMed  Google Scholar 

  36. Samuel S, Bruining DH, Loftus EV, et al. Endoscopic skipping of the distal terminal ileum in Crohn’s disease can lead to negative results from ileocolonoscopy. Clin Gastroenterol Hepatol. 2012;10(11):1253–9.

    Article  PubMed  Google Scholar 

  37. Solem CA, Loftus EV, Fletcher JG, et al. Small-bowel imaging in Crohn’s disease: a prospective, blinded, 4-way comparison trial. Gastrointest Endosc. 2008;68(2):255–66.

    Article  PubMed  Google Scholar 

  38. Siddiki HA, Fidler JL, Fletcher JG, et al. Prospective comparison of state-of-the-art MR enterography and CT enterography in small-bowel Crohn’s disease. AJR Am J Roentgenol. 2009;193(1):113–21.

    Article  PubMed  Google Scholar 

  39. Deepak P, Fletcher JG, Fidler JL, et al. Radiological response is associated with better long-term outcomes and is a potential treatment target in patients with small bowel Crohn’s disease. Am J Gastroenterol. 2016;111(7):997–1006.

    Article  PubMed  Google Scholar 

  40. Rimola J, Rodriguez S, García-Bosch O, et al. Magnetic resonance for assessment of disease activity and severity in ileocolonic Crohn’s disease. Gut. 2009;58(8):1113–20.

    Article  CAS  PubMed  Google Scholar 

  41. Rimola J, Ordas I, Rodriguez S, et al. Magnetic resonance imaging for evaluation of Crohn’s disease: validation of parameters of severity and quantitative index of activity. Inflamm Bowel Dis. 2011;17(8):1759–68.

    Article  PubMed  Google Scholar 

  42. Steward MJ, Punwani S, Proctor I, et al. Non-perforating small bowel Crohn’s disease assessed by MRI enterography: derivation and histopathological validation of an MR-based activity index. Eur J Radiol. 2012;81(9):2080–8.

    Article  PubMed  Google Scholar 

  43. Deepak P, Fletcher JG, Fidler JL, et al. Computed tomography and magnetic resonance enterography in Crohn’s disease: assessment of radiologic criteria and endpoints for clinical practice and trials. Inflamm Bowel Dis. 2016;22(9):2280–8.

    Article  PubMed  Google Scholar 

  44. Makanyanga JC, Pendsé D, Dikaios N, et al. Evaluation of Crohn’s disease activity: initial validation of a magnetic resonance enterography global score (MEGS) against fecal calprotectin. Eur Radiol. 2014;24(2):277–87.

    Article  PubMed  Google Scholar 

  45. Takenaka K, Ohtsuka K, Kitazume Y, et al. Correlation of the endoscopic and magnetic resonance scoring systems in the deep small intestine in Crohn’s disease. Inflamm Bowel Dis. 2015;21:1832–8.

    Article  PubMed  Google Scholar 

  46. Albert JG, Martiny F, Krummenerl A, et al. Diagnosis of small bowel Crohn’s disease: a prospective comparison of capsule endoscopy with magnetic resonance imaging and fluoroscopic enteroclysis. Gut. 2005;54(12):1721–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Bocker U, Dinter D, Litterer C, et al. Comparison of magnetic resonance imaging and video capsule enteroscopy in diagnosing small-bowel pathology: localization-dependent diagnostic yield. Scand J Gastroenterol. 2010;45(4):490–500.

    Article  PubMed  Google Scholar 

  48. Prezzi D, Bhatnagar G, Vega R, et al. Monitoring Crohn’s disease during anti-TNF-α therapy: validation of the magnetic resonance enterography global score (MEGS) against a combined clinical reference standard. Eur Radiol. 2016;26(7):2107–17.

    Article  PubMed  Google Scholar 

  49. Buisson A, Joubert A, Montoriol PF, et al. Diffusion-weighted magnetic resonance imaging for detecting and assessing ileal inflammation in Crohn’s disease. Aliment Pharmacol Ther. 2013;37(5):537–45.

    Article  CAS  PubMed  Google Scholar 

  50. Hordonneau D, Buisson A, Scanzi J, et al. Diffusion-weighted magnetic resonance imaging in ileocolonic Crohn’s disease: validation of quantitative index of activity. Am J Gastroenterol. 2014;109:89–98.

    Article  CAS  PubMed  Google Scholar 

  51. Bodily KD, Fletcher JG, Solem CA, et al. Crohn disease: mural attenuation and thickness at contrast-enhanced CT enterography – correlation with endoscopic and histologic findings of inflammation. Radiology. 2006;238(2):505–16.

    Article  PubMed  Google Scholar 

  52. Booya F, Fletcher JG, Huprich JE, et al. Active Crohn disease: CT findings and interobserver agreement for enteric phase CT enterography. Radiology. 2006;241(3):787–95.

    Article  PubMed  Google Scholar 

  53. Bruining DH, Loftus EV, Ehman EC, et al. Computed tomography enterography detects intestinal wall changes and effects of treatment in patients with Crohn’s disease. Clin Gastroenterol Hepatol. 2011;9(8):679–83.

    Article  PubMed  Google Scholar 

  54. Faubion WA, Fletcher JG, O’Byrne S, et al. EMerging BiomARKers in Inflammation Bowel Disease (EMBARK) study identifies fecal calprotectin, serum MMP9, and serum IL-22 as a novel combination of biomarkers for Crohn’s disease activity: role of cross-sectional imaging. Am J Gastroenterol. 2013;108(12):1981–00.

    Article  CAS  Google Scholar 

  55. Bruining DH, Siddiki HA, Fletcher JG, et al. Benefit of computed tomography enterography in Crohn’s disease: effects on patient management and physician level of confidence. Inflamm Bowel Dis. 2012;18(2):219–25.

    Article  PubMed  Google Scholar 

  56. Siddiki H, Fletcher JG, Hara AK, et al. Validation of a lower radiation computed tomography enterography imaging protocol to detect Crohn’s disease in the small bowel. Inflamm Bowel Dis. 2011;17(3):778–86.

    Article  PubMed  Google Scholar 

  57. Calabrese E, Maaser C, Zorzi F, et al. Bowel ultrasonography in the management of Crohn’s disease. A review with recommendations of an international panel of experts. Inflamm Bowel Dis. 2016;22(5):1168–83.

    Article  PubMed  Google Scholar 

  58. Lu C, Gui X, Chen W, et al. Ultrasound shear wave elastography and contrast enhancement: effective biomarkers in Crohn’s disease strictures. Inflamm Bowel Dis. 2017;23(3):421–30.

    Article  PubMed  Google Scholar 

  59. Stidham RW, Xu J, Johnson LA, et al. Ultrasound elasticity imaging for detecting intestinal fibrosis and inflammation in rats and humans with Crohn’s disease. Gastroenterology. 2011;141(3):819–26.

    Article  PubMed  Google Scholar 

  60. Deepak P, Kolbe AB, Fidler JL, et al. Update on magnetic resonance imaging and ultrasound evaluation of Crohn’s disease. Gastroenterol Hepatol. 2016;12(4):226–36.

    Google Scholar 

  61. Serafin Z, Bialecki M, Bialecka A, et al. Contrast-enhanced ultrasound for detection of Crohn’s disease activity: systematic review and meta-analysis. J Crohns Colitis. 2016;10(3):354–62.

    Article  PubMed  Google Scholar 

  62. Mary JY, Modigliani R. Development and validation of an endoscopic index of the severity for Crohn’s disease: a prospective multicentre study. Groupe d’Etudes Therapeutiques des affections Inflammatoires du tube Digestif (GETAID). Gut. 1989;30(7):983–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Daperno M, D’Haens G, Van Assche G, et al. Development and validation of a new, simplified endoscopic activity score for Crohn’s disease: the SES-CD. Gastrointest Endosc. 2004;60(4):505–12.

    Article  PubMed  Google Scholar 

  64. Rutgeerts P, Geboes K, Vantrappen G, et al. Predictability of the post-operative course of Crohn’s disease. Gastroenterology. 1990;99(4):956–63.

    Article  CAS  PubMed  Google Scholar 

  65. Peyrin-Biroulet L, Panes J, Sandborn WJ, et al. Defining disease severity in inflammatory bowel diseases: current and future directions. Clin Gastroenterol Hepatol. 2016;14(3):348–54.

    Article  PubMed  Google Scholar 

  66. Khanna R, Zou G, D’Haens G, et al. Reliability among central readers in the evaluation of endoscopic findings from patients with Crohn’s disease. Gut. 2016;65(7):1119–25.

    Article  PubMed  Google Scholar 

  67. Daperno M, Castiglione F, de Ridder L, et al. Results of the 2nd part scientific workshop of the ECCO. II: measures and markers of prediction to achieve, detect, and monitor intestinal healing in inflammatory bowel disease. J Crohns Colitis. 2011;5(5):484–98.

    Article  PubMed  Google Scholar 

  68. Ferrante M, Colombel JF, Sandborn WJ, et al. Validation of endoscopic activity scores in patients with Crohn’s disease based on a post hoc analysis of data from SONIC. Gastroenterology. 2013;145(5):978–86.

    Article  PubMed  Google Scholar 

  69. Vuitton L, Marteau P, Sandborn WJ, et al. IOIBD technical review on endoscopic indices for Crohn’s disease clinical trials. Gut. 2016;65(9):1447–55.

    Article  CAS  PubMed  Google Scholar 

  70. Lémann M, Mary JY, Colombel JF, et al. A randomized, double-blind, controlled withdrawal trial in Crohn’s disease patients in long-term remission on azathioprine. Gastroenterology. 2005;128(7):1812–8.

    Article  PubMed  CAS  Google Scholar 

  71. Rutgeerts P, Van Assche G, Sandborn WJ, et al. Adalimumab induces and maintains mucosal healing in patients with Crohn’s disease: data from the EXTEND trial. Gastroenterology. 2012;142(5):1102–11.

    Article  CAS  PubMed  Google Scholar 

  72. Moskovitaz DN, Daperno M, Van Assche G. Defining and validating cut-offs for the simple endoscopic score for Crohn’s disease. Gastroenterology. 2007;132:S1097.

    Google Scholar 

  73. Peyrin-Biroulet L, Loftus EV, Colombel JF, et al. The natural history of adult Crohn’s disease in population-based cohorts. Am J Gastroenterol. 2010;105(2):289–97.

    Article  PubMed  Google Scholar 

  74. De Cruz P, Kamm MA, Hamilton AL, et al. Crohn’s disease management after intestinal resection: a randomised trial. Lancet. 2015;385(9976):1406–17.

    Article  PubMed  Google Scholar 

  75. Pariente B, Mary J-Y, Danese S, et al. Development of the Lémann index to assess digestive tract damage in patients with Crohn’s disease. Gastroenterology. 2015;148(1):52–63.

    Article  PubMed  Google Scholar 

  76. Cleynen I, Gonzalez JR, Figueroa C, et al. Genetic factors conferring an increased susceptibility to develop Crohn’s disease also influence disease phenotype: results from the IBDchip European Project. Gut. 2013;62(11):1556–65.

    Article  CAS  PubMed  Google Scholar 

  77. Cuthbert AP, Fisher SA, Mirza MM, et al. The contribution of NOD2 gene mutations to the risk and site of disease in inflammatory bowel disease. Gastroenterology. 2002;122(4):867–74.

    Article  CAS  PubMed  Google Scholar 

  78. Weiser M, Simon JM, Kochar B, et al. Molecular classification of Crohn’s disease reveals two clinically relevant subtypes. Gut. 2018;67(1):36–42.

    Article  CAS  PubMed  Google Scholar 

  79. Vermeire S, D’Haens G, Hale M, et al. Orlando; FL: 2017. A novel serum test to describe the mucosal healing state by disease location in Crohn’s disease patients [WCOG abstract 74]. Paper presented at: the World Congress of Gastroenterology at ACG2017; October 13–18.

    Google Scholar 

  80. Kelly OB, Silverberg MS, Dulai PS, et al. Orlando; FL: 2017. Development and validation of a multi-marker serum test for the assessment of mucosal healing in Crohn’s disease patients [WCOG abstract P2184]. Paper presented at: the World Congress of Gastroenterology at ACG2017; October 13–18.

    Google Scholar 

  81. Sandborn WJ, Abreu MT, Dubinsky MC. A noninvasive method to assess mucosal healing in patients* with Crohn’s disease. Gastroenterol Hepatol. 2018;14(5 Suppl 2):1–12.

    Google Scholar 

  82. Ananthakrishnan N, Luo C, Yajnik V, et al. Gut microbiome function predicts response to anti-integrin biologic therapy in inflammatory bowel diseases. Cell Host Microbe. 2017;21(5):603–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amanda M. Lynn .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Lynn, A.M., Loftus, E.V. (2019). Luminal Crohn’s Disease. In: Sheng Ding, N., De Cruz, P. (eds) Biomarkers in Inflammatory Bowel Diseases. Springer, Cham. https://doi.org/10.1007/978-3-030-11446-6_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-11446-6_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11445-9

  • Online ISBN: 978-3-030-11446-6

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics