The use of MS for the investigation of irritable bowel syndrome and inflammatory bowel disease
Currently, the diagnosis of bowel diseases such as irritable bowel syndrome (IBS) and inflammatory bowel disease (IBD) relies on invasive and expensive procedures. Identification of biomarker-based tests to aid diagnosis is an important area of research. Here we review the use of mass spectrometry in this search and discuss recent findings.
by Dr B. De Lacy Costello, Professor N. M. Ratcliffe and S. Shepherd
Inflammatory bowel disease (IBD) is an inflammatory autoimmune disease caused by an inappropriate response of the immune system to commensal gut microbes [1]. There are two types of IBD, ulcerative colitis (UC) and Crohn’s disease (CD). UC affects the large bowel only, affecting variable lengths of the colon continuously from the rectum, primarily affecting the mucosa [Fig. 1]. CD can affect any part of the GI tract, and is a transmural disease [2]. Common symptoms of IBD are severe abdominal pain, defecation urgency and diarrhoea, which can contain blood.
Irritable bowel syndrome (IBS) is a functional disorder of the digestive tract. It is characterized by its symptoms, with no physiological changes in the GI tract. IBS can be diarrhoea predominant (IBS-D), constipation predominant (IBS-C) or symptoms can alternate between the two (IBS-A). Common symptoms include abdominal pain and cramps, bloating and flatulence, and unusual bowel habit. IBS has, as yet, no known cause. People with IBS show abnormal gut motility and hypersensitivity to pain in the GI tract. Stress and anxiety are known to cause changes in gut motility [3] with stress and anxiety being common symptoms of IBS. When under physical or psychological stress IBS patients showed increased gastro-intestinal sensitivity when compared to healthy controls [4]. Recently it has been thought that there may be changes in the gut microbiota in patients with IBS, the evidence being that IBS symptoms often occur after infective gastroenteritis or in patients in remission from IBD or diverticulitis. SIBO (small intestinal bowel overgrowth) has also been implicated in IBS and other function bowel disorders. One current hypothesis is that an altered microbiota activates the immune system within the mucosa, leading to an increase in epithelial permeability, causing dysregulation of the enteric nervous system [5]. Genome-wide association studies have successfully identified many genetic loci involved in susceptibility to IBD, and it is thought that genetic factors may also play a role in IBS [1].
Diagnosis of GI disease
IBS-D can present with symptoms similar to IBD and other non-functional bowel conditions. The diagnosis of IBS is often one of exclusion, where more serious bowel diseases, such as IBD or colon cancer which present with common symptoms, are ruled out. The current gold standard for diagnosis of IBD is endoscopic and histological testing; however, these investigations are both invasive and costly, and have associated risks. Of the patients referred for endoscopy few actually have organic bowel disease [6]. The costs associated with functional bowel disease are significant, with healthcare costs for IBS patients being significantly higher than non IBS controls [7].
There are currently no known biomarkers of IBS. There are various biomarkers that have potential in the differentiation of functional from inflammatory gastrointestinal disease, but there is still a need to identify biomarkers and to develop quicker, lower cost and less invasive testing for diagnosis of gastro-intestinal disease.
Biomarkers such as lactoferrin, calprotectin, c-reactive protein (CRP) and erythrocyte sedimentation rate (ECR) have all been used to help distinguish functional from inflammatory bowel disorders and to diagnose IBD. Serological markers such as antibodies to bacterial and fungal antigens that can indicate an abnormal response to commensal microbes can also be useful in identifying IBD.
Fecal calprotectin and lactoferrin are protein biomarkers of inflammation. In 2010 a meta-analysis of six studies (n=670) in adults by Van Rheenen et al. [8] found that screening patients by testing fecal calprotectin levels would have reduced the number of endoscopies performed by 67%, although its diagnosis would have been delayed in 6% of patients. When taking a weighted mean of 19 studies including 1001 patients, where IBD patients were compared with controls of IBS and other colonic diseases, fecal lactoferrin has a sensitivity and specificity of 80% and 82%, respectively [9].
Although these biomarkers can be useful as part of the screening process when establishing a diagnosis [6, 8], there is currently no biomarker or test that can replace the need for endoscopic and histological investigations. Mass spectrometry techniques are at the forefront of research for biomarker prospecting for IBS/IBD.
Mass spectrometry
Mass spectrometry (MS) has the ability to identify numerous compounds in a single sample. It is also high throughput allowing rapid analysis of many samples, which is especially useful for large studies or for the diagnosis of many samples. The ability to obtain results quickly, usually in less than 1 hour makes it attractive for clinical use.
Proteomic approach
Although MS (with associated sample vaporisation methods) was originally limited to low molecular weight volatile compounds, in the last 2 decades advances in MS technology have enabled its use with high molecular weight compounds, changing the way proteins are analysed. The soft ionization techniques electrospray ionization (ESI) and matrix-assisted laser desorption/ionization (MALDI) allow for the analysis of proteins and other macromolecules [10]. The identification of proteins through peptide mass fingerprinting, or peptide sequencing using MS is more rapid than techniques such as de novo protein sequencing and data can be analysed automatically. MS can also be used to determine the abundance of a molecule in a sample [10].
Differential protein expression can identify different diseases, and can indicate the degree of the disease state, or be used to assess the effects of treatment – for example the response of IBD patients to anti-TNF alpha antibodies (infliximab) [11]. It also has applications in the identification of protein biomarkers.
In 2011 MALDI-MS was used by M’koma et al. for tissue analysis; through profiling of the proteome of the colonic submucosa they were able to distinguish UC from CD by comparing proteomic spectra. Definitive diagnosis of either UC or CD is important as people with UC also have an increased risk of colon cancer [12].
Goo et al. have investigated protein biomarkers for IBS. ESI with LC-MS was used on protein fragments from the urine of women with IBS. They found differences in some specific components of the urinary proteome, and demonstrated that there is a possibility for future biomarker studies for IBS [13].
There are still limitations to mass spectrometric protein analysis, for example the difficulty in detecting hydrophobic membrane proteins. However, it seems promising that, with the advances in mass spectrometry technology, there will be an increase in the discovery of protein biomarkers and key pathogenic factors of gastro–intestinal disease, and improved diagnosis and therapy.
Metabolomic approach
The metabolome is the set of small molecule metabolites found in a biological sample. Unlike proteomics, metabolomics can be a direct measure of production of compounds and activity of cells or systems in an organism. This can be especially useful when looking for disease biomarkers in IBS and other bowel diseases as it can be used to understand the environment of the GI tract, as well as factors such as digestion and absorption of dietary products and gut microbial activity [14], which are implicated in IBS pathogenesis.
Researchers have explored the use of various techniques incorporating MS on breath [15], urine [16] and stool [17] samples in search of metabolic biomarkers of bowel disease for non-invasive testing and many possible candidates have been identified.
The commonly used analytical techniques in metabolomics are GC-MS (gas chromatography-mass spectrometry) or LC-MS (liquid chromatography-mass spectrometry) and NMR (nuclear magnetic resonance) spectrometry. NMR has the advantage that there is no need to have the compounds in the vapour phase, although the limit of detection using NMR is much poorer than MS.
LC-MS metabolomic studies have been recently undertaken using urine to identify putative colon inflammation biomarkers [18]. The authors note that urinary biomarkers would be preferable to sampling intestinal tissue or blood as the collection of urine samples is non-invasive and multiple samples are more
readily obtained.
The analysis of volatile organic compounds (VOCs) or metabolites (VOMs) is an emerging area of disease diagnosis. VOCs are small molecules that are readily analysed by GC-MS. Other commonly used methods of VOC detection are selected ion flow tube mass spectrometry (SIFT-MS) [Fig. 2], and the similar technique of PTR-MS (proton transfer MS).
There are already several FDA approved tests using volatiles from breath. These include testing for heart transplant rejection, hemoglobin breakdown in children and measurement of hydrogen or methane to diagnose GI lactose or fructose malabsorption. The measurement of breath hydrogen has also been used to diagnose SIBO. Recent work by Španĕl et al. using SIFT-MS quantified the breath pentane concentration of study subjects using the reaction of O2+ with pentane. It was found that patients with CD and UC had significantly elevated breath pentane levels compared to healthy controls [15].
Testing for fecal biomarkers of bowel disease is facile as samples are easily obtained and have been in contact with the gastro intestinal tract. The changes in the odour of feces and flatus reported in many bowel conditions are due to changes in the VOC profile. This altered VOC profile could lead to identification of biomarkers of disease state. A recent pilot study carried out by Ahmed et al. using GC-MS on fecal samples from IBD and IBS patients identified a key set of VOMs which were able to distinguish IBS-D from Active IBD with a sensitivity of 96% and a specificity of 80% [19].
Conclusions
MS techniques show promise for the identification of biomarkers of various GI disease states, which have the potential to reduce invasive testing, improve patient care and reduce healthcare costs.
Instrumentation is still expensive and relatively large, limiting its use in hospital settings and particularly limiting its use for near-patient testing. Also biomarker discovery is still in its infancy and much remains to be clarified in relation to the significance of markers to disease and the underlying metabolic pathways.
However, work to reduce the size and cost of mass spectrometers is well advanced and would open up the possibility of instruments being deployed for point-of-care detection and monitoring of diseases including IBS and IBD.
References
1. Khor B, Gardet A, Xavier RJ. Nature 2011; 474(7351): 307–317.
2. Geboes K. Churchill Livingstone Elsevier 2003; 255–276.
3. Drossman DA, Camilleri M, Mayer EA, Whitehead WE. Gastroenterology 2002; 123(6): 2108–2131.
4. Murray CD, Flynn J, Ratcliffe L, Jacyna MR, et al. Gastroenterology, 2004; 127(6): 1695–1703.
5. Simrén M, Barbara G, Flint HJ, Spiegel BM, Spiller RC, et al. Gut 2013; 62(1): 159–176.
6. Kok L, Elias SG, Witteman BJ, Goedhard JG, Muris JW, et al. Clinical chemistry 2012; 58(6): 989–998.
7. Maxion-Bergemann S, Thielecke F, Abel F, Bergemann R. Pharmacoeconomics 2006; 24: 21–37.
8. Van Rheenen PF, Van de Vijver E, Fidler V. BMJ 2010; 341: doi 10.1136/bmj.c3369.
9. Gisbert JP, McNicholl AG, Gomollon F. Inflammatory bowel diseases 2009; 15(11): 746–1754.
10. Alberici RM, Simas RC, Sanvido GB, Romão W, Lalli PM, Benassi M, Eberlin MN. Analytical and bioanalytical chemistry 2010; 398(1): 265–294.
11. Han NY, Kim EH, Choi J, Lee H, Hahm KB. Journal of Digestive Diseases 2012; 13(10): 497–503.
12. M’Koma AE, Seeleyv EH, Washington MK, Schwartz DA, Muldoon RL, Herline A, Caprioli RM. Inflammatory bowel diseases 2011; 17(4): 875–883.
13. Goo YA, Cain K, Jarrett M, Smith L, et al. Journal of Proteome Research 2012; 11(12): 5650–5662.
14. Collino S, Martin FPJ, Rezzi S. British journal of clinical pharmacology 2013; 75(3): 619–629.
15. Hrdlicka L, Dryahina K, Spanel P, Bortlik M, et al. Gastroenterology 2012; 142(5): S-784.
16. Rao AS, Camilleri M, Eckert DJ, Busciglio I, Burton DD, Ryks M, Zinsmeister AR. Am J Physiol Gastrointest Liver Physiol 2011; 301(5): G919–G928.
17. Garner CE, Smith S, de Lacy Costello B, White P, Spencer R, Probert C, Ratcliffe NM. FASEB J. 2007; 21(8): 1675–1688.
18. Otter D, Cao M, Lin H-M, Fraser F, Edmunds S, et al. J Biomed Biotechnol. 2011; 2011: 974701
19. Ahmed I, Greenwood R, de Lacy Costello B, Ratcliffe NM, Probert CS. PloS one, 2013; 8(3): e58204.
The authors
Ben De Lacy Costello PhD, Norman M. Ratcliffe*PhD and Sophie Shepherd BSc
Institute of Bio-Sensing Technology, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY
*Corresponding author
E-mail: Norman.Ratcliffe@uwe.ac.uk