Skip to main content
  • Research article
  • Open access
  • Published:

Blood and breath profiles of volatile organic compounds in patients with end-stage renal disease

Abstract

Background

Monitoring of volatile organic compounds (VOCs) in exhaled breath shows great potential as a non-invasive method for assessing hemodialysis efficiency. In this work we aim at identifying and quantifying of a wide range of VOCs characterizing uremic breath and blood, with a particular focus on species responding to the dialysis treatment.

Methods

Gas chromatography with mass spectrometric detection coupled with solid-phase microextraction as pre-concentration method.

Results

A total of 60 VOCs were reliably identified and quantified in blood and breath of CKD patients. Excluding contaminants, six compounds (isoprene, dimethyl sulfide, methyl propyl sulfide, allyl methyl sulfide, thiophene and benzene) changed their blood and breath levels during the hemodialysis treatment.

Conclusions

Uremic breath and blood patterns were found to be notably affected by the contaminants from the extracorporeal circuits and hospital room air. Consequently, patient exposure to a wide spectrum of volatile species (hydrocarbons, aldehydes, ketones, aromatics, heterocyclic compounds) is expected during hemodialysis. Whereas highly volatile pollutants were relatively quickly removed from blood by exhalation, more soluble ones were retained and contributed to the uremic syndrome. At least two of the species observed (cyclohexanone and 2-propenal) are uremic toxins. Perhaps other volatile substances reported within this study may be toxic and have negative impact on human body functions. Further studies are required to investigate if VOCs responding to HD treatment could be used as markers for monitoring hemodialysis efficiency.

Peer Review reports

Background

Chronic kidney disease (CKD) usually is a progressive disorder and patients with end stage renal failure need treatment by transplantation or dialysis. Even though dialysis is lifesaving, overall patient mortality by far exceeds that of an age-matched population without CKD. This is at least in part due to the fact that current dialysis techniques cannot completely replace native kidney function. Guidelines recommend that dialysis dose should be prescribed based on measures of urea clearance [1] even though it is recognized that urea is only a weak surrogate for the extent of uremia. However other, potentially more relevant toxins [2] cannot be determined easily due to technical difficulties and a rapid, low-cost measurement method, which could be used routinely during each HD session, would be highly desirable. Breath gas analysis could meet the requirements as it is non-invasive and breath biomarkers have already proved to provide valuable information on disease processes, or metabolic disorders occurring even in distant parts of the body [3–8]. Relying on simple-in-use, hand-held, and sensitive devices this diagnostic technique could considerably support the HD treatment.

The composition of uremic breath and its evolution during hemodialysis has already received some attention. Simenhoff et al. [9] reported elevated levels of dimethylamine (DMA) and trimethylamine (TMA) in patients with end-stage renal disease and their decrease after the HD treatment. In case of TMA this response to HD has been confirmed by Endre et al. [10]. A number of studies investigated breath ammonia during dialysis as a potential marker of efficiency of this treatment [10–14]. The observed drop in NH3 concentrations correlated reasonably well with blood urea nitrogen (BUN) and creatinine [12, 14]. Monitoring of breath ethane in HD patients evidenced a rapid rise of this marker during the first minutes after initiation of dialysis, which has been attributed to treatment-induced oxidative stress [15–17]. Numerous investigators reported a significant increase of isoprene in breath during and after hemodialysis [18–22], but not during peritoneal dialysis [23]. Recently, Lee et al. [24] employing breath analysis documented the exposure of dialyzed populations to some hydrocarbons and halocarbons emitted by dialyzer materials.

The primary goal of this work was the untargeted identification and quantification of volatile organic compounds characterizing uremic breath and blood with a particular focus on species responding to the dialysis treatment, the latter being potential markers of dialysis efficiency. Gas chromatography with mass spectrometric detection using solid phase microextraction (SPME-GCMS) as a preconcentration step was selected as the adequate analytical method for this purpose. In particular, we aimed at extending the classic definition of uremic breath and blood (encompassing mainly odorous compounds such as ammonia or amines) to include a wider spectrum of volatiles, induced by either CKD or by the hemodialysis procedure itself.

Methods

Human subjects and HD treatment

Patients (7 males and 7 females) were recruited from the Dialyse Trainingszentrum Innsbruck and the Department of Nephrology and Hypertension of Innsbruck Medical University. Their baseline characteristics are presented in Table 1. All test subjects were dialyzed three times a week during 4-hours-sessions using high-flux Helixone Fresenius FX-100 dialyzers (Fresenius Medical Care, Germany) and a Fresenius type 5008, or Gambro type AK 200 S device. Patients suffered from a variety of underlying conditions including coronary heart disease, peripheral vascular disease, asthma, cancer, liver diseases and urinary tract infections. Four patients were diabetic. The recruitment was carried out with the following exclusions: inability to provide breath samples, immaturity and legal incompetence. No special dietary regimes were applied both before and during HD treatment. All subjects gave written consent to participate. The collection of samples was approved by the Ethics Commission of Innsbruck Medical University.

Table 1 Baseline characteristics of CKD patients under study

Identification of volatiles emitted by dialyzer materials

Contaminants emitted by the extracorporeal circuit materials and thus being introduced into the organism during the HD treatment were identified on the basis of analyses of air within freshly unpacked bloodlines and Helixone membranes as well as head-space above fragments of the aforementioned materials placed in sealed vials. In the latter case vials were stored for 1-2 hours to let potential pollutants accumulate.

Blood and breath sampling

Patients were dialyzed via an upper extremity native fistula and provided two blood samples taken from the arterial inflow line into 2.7 mL blood monovettes (Sarstedt, Germany) using a protocol described in our recent article [25]. The first blood sample was taken shortly (<10 min) after the onset of dialysis procedure and the second one a few minutes before its end. In parallel, one blank sample containing 2.7 mL of distilled water was collected using the same materials as in the case of blood sampling. This was done to identify possible contaminants stemming from sources other than blood. Blank samples were analyzed in the same way as blood samples and the resulting concentration levels were subtracted from the respective blood sample values.

End-exhaled breath samples were collected into 3-liter Tedlar bags (SKC Inc., USA) in a CO2 controlled manner using breath sampler developed at Innsbruck Medical University, Austria [25–27]. The evolution of breath constituents during dialysis was monitored by taking breath samples every 40-60 minutes throughout the dialysis session. The first sampling instant was at the onset of hemodialysis, the last one just before removing the extracorporeal circuit. Effectively, 5-7 breath samples were collected per patient. Additionally, two separate room air samples were taken (one at the onset of dialysis and one at the end of the treatment) for determining the background levels of VOCs under study.

Blood/breath sample preparation and chromatographic analysis

Blood sample preparation, breath and blood calibration and the chromatographic analysis itself were performed in analogy with the procedures outlined in our recent article [25]. However, breath sample preparation relied on solid phase microextraction (SPME) and followed procedure described in King et al. [28].

We stress the fact that the identification of compounds was performed in two steps. First, the peak spectrum was checked against the NIST mass spectral library. Next, the NIST identification was confirmed by comparing the retention times of peaks of interest with retention times obtained for standard mixtures prepared from pure compounds. Peak integration was based on extracted ion chromatograms. The applied quantifier ions are presented in Table 2.

Table 2 Retention times R t [min], quantifier ions, LODs [nmol∙L -1 , ppb], RSDs (%), coefficients of variation (R 2 ) and linear ranges [nmol∙L -1 , ppb] of compounds under study for blood and breath measurements

Results and discussion

Method validation

Limits of detection/quantification (LOD/LOQ) as well as relative standard deviations (RSDs) for the measurements were calculated as described in [25]. The obtained validation parameters are shown in Table 2 and were recognized as satisfactory for the goals of this study. With a few exceptions (pyrrole, pyrimidine and 2-pentyl-furan), most of the reported compounds could be quantified in both blood and breath. Blood acetone levels generally exceeded the dynamic range of the MS detector.

Contaminants emitted by dialyzer materials

The Helixone membrane was found to emit predominantly n-alkanes (C3-C7), methylated alkanes (2-methyl-propane, 2-methyl-butane, 2-methyl-pentane and 2,4-dimethyl-heptane) and alkenes (propene, 2-methyl-1-propene, 2-pentene, 1-hexene and 2,4-dimethyl-1-heptene). Apart from hydrocarbons it also emitted considerable amounts of acetone and hexamethyl disiloxane.

More than 60 volatile contaminants were found to be released by the bloodlines and 43 of them could reliably be identified. Among these, hydrocarbons were the predominant chemical class with eighteen representatives. This number includes n-alkanes (C4-C7), methylated alkanes (2-methyl-propane, 2-methyl-pentane, 3-methyl-pentane, 4-methyl-heptane, 4-methyl-octane), cyclic HCs (methyl cyclopentane and cyclohexane) and alkenes (2-methyl-1-propene, 1-pentene, 2-heptene, 3-heptene, 3-ethyl-3-hexene, 3-methylene-heptane, 4-octene and 2,4-dimethyl-1-heptene). Furthermore, there were nine aldehydes (2-propenal, propanal, 2-methyl-2-propenal, pentanal, hexanal, heptanal, benzaldehyde, 2-ethyl-hexanal and nonanal), seven ketones (acetone, 3-buten-2-one, 2-hexanone, cyclohexanone, 2-cyclohexen-1-one, 3-methyl-2-hexanone and 3-heptanone), three furans (furan, 2,3-dihydroxy-furan and tetrahydrofuran), three terpenes (α-pinene, β-pinene and 3-carene) and two aromatics (toluene and p-xylene). The only alcohol present was 2-ethyl-hexanol. Two species namely tetrahydrofuran and 2-ethyl-hexanol exhibited especially high abundances. Pollutants affecting the levels of species reported within this study have been marked in Table 3.

Table 3 Detection (n d ) and quantification (n q ) incidences and concentration ranges of blood volatile organic compounds

Blood and breath profiles of volatiles during HD

Altogether 60 compounds were quantified in blood and breath of patients undergoing HD. Their detection and quantification incidences as well as the observed concentrations are given in Tables 3 and 4. In blood hydrocarbons comprised 32% of all quantified species, ketones 20%, heterocyclic compounds 14%, terpenes 11%, aromatics 7%, volatile sulphur compounds 7% and aldehydes 5%. In breath the predominant chemical classes were hydrocarbons (40%) and ketones (21%). Other well represented classes were heterocyclic compounds (10%), terpenes (8%), volatile sulphur compounds (6%), aromatics (6%) and aldehydes (6%).

Table 4 Detection (n d ) and quantification (n q ) incidences and concentration ranges of breath and room air compounds

Four volatile sulphur compounds (DMS, AMS, MPS and thiophene) were quantified in blood and breath. Interestingly, their concentrations were decreasing during the HD treatment in both investigated fluids (see Tables 3 and 4 for Wilcoxon tests and Figure 1 for representative MPS and DMS profiles). For example, blood levels of DMS after the HD session were on average three-fold lower than at the onset of the treatment. Analogously, breath concentrations dropped approximately by a factor of 1.5. The reason for this response of sulphur species remains unclear. They were not found to be released by the dialyzer materials and their room air levels were relatively low. Thus, exogenous contamination can be excluded as a potential reason for elevated VSC concentrations before HD. It rather seems that volatile sulphur species were effectively removed from blood during the haemodialysis session. Conversely, Goerl et al. [29] reported stable levels of DMS in breath of patients undergoing dialysis. The reason for this discrepancy remains speculative. Perhaps, some differences in HD treatment affect DMS washout.

Figure 1
figure 1

Representative breath profiles of MPS and DMS during hemodialysis. Hollow and filled symbols denote room air and breath levels respectively.

22 aliphatic hydrocarbons were detected in the blood or breath of HD patients. A great majority of them (17) were pollutants originating from the dialyzer materials. Breath levels of four species (n-butane, n-pentane, 2-methyl-1-pentene, and 1-hexene) were significantly higher than room air ones and exhibited a statistically significant decrease during the treatment (see Figure 2 for exemplary profiles). This observation is in good agreement with the results reported by Lee et al. [24] evidencing the influx of hydrocarbon pollutants into blood from the extracorporeal circuit. Whereas Lee et al. [24] reported HC levels that were elevated only for a rather short period of time (20 minutes), the increased HC concentrations observed within this study were still present at the end of hemodialysis. The composition and intensity of the contaminant influx are clearly manufacturing process dependent and may differ significantly between different vendors. Strikingly, the aforementioned concentration drops were not observed in blood samples. This discrepancy can be explained by the poor blood solubility of aliphatic hydrocarbons [30] as well as the fact that the arterial blood sampling point was located at the beginning of the extracorporeal circulation before the membrane. Consequently, the samples correspond to blood degassed during pulmonary gas exchange. Thus, it seems that this excess of hydrocarbons is quickly and effectively removed by the lungs and the exposure of tissues to these pollutants is probably limited. Amongst the hydrocarbons not being treatment-related pollutants there were four smoking-induced species (1,3-Butadiene, (E/Z)-1,3-Pentadiene and 1-heptene) and isoprene. Both blood and breath levels of isoprene increased significantly after the hemodialysis (see Figure 3 and Figure 4). In exhaled air this rise amounted to about 36%, whereas in blood an average difference of 52% was observed. This characteristic breath isoprene behavior in response to dialysis has already been reported by numerous investigators [18–29], however, this is the first time that it is confirmed by parallel blood measurements. The advanced explanations for this phenomenon include hemodynamic stress, fluctuations of respiratory variables, or activation of metabolic pathways leading to mevalonic acid synthesis [19, 21–23], nevertheless, none of them seems to be adequate [18]. Isoprene has received a growing interest in the field of breath gas analysis due to the fact that it may serve as a sensitive, non-invasive indicator of several diseases in human organism [31]. Strikingly, despite this interest the source of isoprene and its function in humans are still a matter of debate [32, 33]. In this context, the elucidation of isoprene evolution during hemodialysis could be valuable for understanding its function in human organism.

Figure 2
figure 2

Representative breath profiles of n-butane and n-pentane during hemodialysis. Hollow and filled symbols denote room air and breath levels respectively.

Figure 3
figure 3

Representative breath profiles of benzene, and isoprene during hemodialysis. Hollow and filled symbols denote room air and breath levels respectively.

Figure 4
figure 4

Comparison of blood levels of selected species in dialyzed patients (before and after HD) and healthy volunteers. Data for the latter were taken from [25].

A total of number of eleven ketones were quantified in blood and breath samples. For 6 of them significant differences between breath and room air levels were found (Wilcoxon signed-rank test) both before and after HD. Species from this family were also found to be affected by background emission from the dialyzer fabrics. This especially applies to cyclohexanone, 2-cyclohexen-1-one, 3-heptanone, 3-buten-2-one and 2-hexanone. Due to the shortage of the literature values for arterial blood levels of ketones in humans it is difficult to evaluate the blood concentrations obtained within this study. In our recent paper [25] we established venous blood levels of 62 VOCs including ketones in healthy volunteers. While VOCs levels in arterial blood are significantly lower than in venous blood due to pulmonary gas exchange [34], a comparison of results obtained within this study with the ones reported in our recent paper can provide some valuable information. In general despite degassing the arterial blood levels observed within this study were much higher than the ones observed in venous blood of healthy volunteers. For example, pre-dialysis blood levels of 2-pentanone were approx. three times higher (mean: 94 vs 35 nmol/L), 2-heptanone four times higher (mean: 10.5 vs 2.7 nmol/L) and 4-heptanone sixty five times higher (mean: 54 vs 0.83 nmol/L) than in healthy individuals (see Figure 4). The same holds true for the average breath levels (e.g. 2.78 vs 0.62 ppb for 2-pentanone, 0.6 vs 0.03 ppb for 4-heptanone). Interestingly, elevated levels of ketones in ESRD patients were present already before the HD treatment. Since ketones were reported to be particularly abundant in human urine [30, 35, 36], this fluid seem to be an important sink of these species in human organism. Consequently, any impairment of kidney function may significantly affect the excretion of ketones and hence lead to their retention within the uremic syndrome. Two heptanone isomers (2- and 4-heptanone) exhibited high levels in blood and breath despite the fact that they were neither found room in air nor extracorporeal circuit contaminants. Moreover, their blood levels increased significantly during the hemodialysis. Such an excess of 4-heptanone in hemodialysis patients has already been reported in the literature and attributed to the metabolism of di(2-ethylhexyl) phthalate (DEHP) [37]- a plasticizer used in polyvinyl chloride products. In humans DEHP is rapidly metabolized to 2-ethylhexanol, which is then oxidized to 2-ethylhexanoic acid and finally to 2-heptanone and 4-heptanone [37, 38]. Indeed, the bloodlines used within this study were found to emit significant amounts of 2-ethylhexanol and its oxidation product 2-ethyl-hexanal. Consequently, it is plausible that the high concentrations of 2- and 4-heptanone in HD patients originated from this source. At least one of aforementioned ketones can be considered as a uremic toxin: cyclohexanone emitted from extracorporeal circuits was reported to impair cardiovascular function [39].

Only three aldehydes (2-propenal, propanal and 2-metyl-2-propenal) were found in blood samples. 2-propenal and propanal showed incidence rates of 50% and 2-metyl-2-propenal was detected only once. In breath all three species were omnipresent, however, their levels were lower (propanal), or comparable (2-propenal and 2-metyl-2-propenal) to the ones in room air. The high room air levels and the observed emission by bloodlines render the aforementioned species pollutants rather than endogenous compounds. 2-propenal was also reported to accumulate in blood of renal failure patients as the result of spermine degradation by polyamine oxidase being released from damaged kidney [40]. Since this compound was also found to be a uremic toxin damaging the functions of cells and proteins [40] its additional exogenous influx may accelerate the progression of uremia. Interestingly, while the dialyzer bloodlines also emitted several heavier aldehydes (pentanal, hexanal, heptanal, benzaldehyde, 2-ethyl-hexanal and nonanal), the latter were not detected in blood. Perhaps, the analysis of species from this chemical class requires a special sample treatment (e.g., derivatisation) [41], or they are rapidly metabolized by human tissues [42, 43]. Moreover, room air concentrations of these aldehydes were generally much higher than in breath (data not shown), suggesting an additional influx of these analytes from the surrounding atmosphere.

Amongst terpenes α-pinene and 3-carene were contaminants from fabrics showing relatively high occurrences and levels in HD patients as compared to healthy volunteers [25]. p-cymene and DL-limonene also displayed very high abundances in blood, usually 20-30 times higher than in healthy individuals. However, it is not clear if they result from renal impairment, or stems from relatively high room air levels of these compounds.

Amongst aromatics there were two dialyzer pollutants (toluene and p-xylene), benzene and o-xylene. The levels of toluene tended to decrease over the course of dialysis both in blood and breath, whereas p-xylene showed stable concentrations. Benzene decreased in both fluids after haemodialysis, perhaps due to a treatment-related washout that would be consistent with the findings reported by Goerl et al. [29] (see Figure 3 and Figure 4). Since only 3 patients were smokers the elevated levels of benzene seem to stem from an environmental exposure. If so, this finding would evidence the retention of benzene within the uremic syndrome.

Amongst heterocyclic species only furan exhibited a difference between pre- and post-dialysis levels. Nevertheless, this effect can be ascribed to the excretion of this compound in lungs in response to its emission by bloodlines. Several heterocyclic compounds, although not detected in blood of healthy individuals [25], were quite abundant in blood of HD patients. Pyrimidine (found in 65% of all samples) showed concentration levels around 45 nmol/L, pyridine (found in 70% of all samples) around 28.6 (before HD) and 22.6 nmol/L (after HD) and 2-pentyl-furan (found in 35% of all samples) exhibited mean concentration values of 13 nmol/L. The elevated pyrimidine levels are consistent with previous studies reporting an accumulation of pyrimidine compounds in blood of patients with CKD [44].

Conclusions

Breath and blood patterns of VOCs in dialyzed patients are notably affected by the influx of contaminants from the dialyzer materials and hospital room air. Of 60 compounds quantified in both fluids 31 were found to be emitted by extracorporeal circuit involved in the treatment. The identified pollutants belong to numerous chemical classes, however, hydrocarbons, aldehydes and ketones hold a distinguished status in this context. More volatile and poorly soluble compounds seem to be relatively quickly eliminated during pulmonary gas exchange. Exposure to highly soluble species seems to be more persistent. At least two contaminants (2-propenal and cyclohexanone) have already been identified as uremic toxins. Perhaps some other volatiles reported here are biochemically active and have negative impact on human body functions.

Excluding pollutants six volatiles tended to change their blood, or breath levels in response to the HD treatment. Only isoprene increased its concentration over the course of the hemodialysis. This finding agrees with earlier reports, however, the results within this study for the first time confirm an analogous behavior in blood. All sulphur volatiles quantified within this study decreased in concentration with dialysis time. It is not clear whether this drop stems from an effective removal of these species by the dialyzer, from changes in their endogenous production, or both. As such, additional studies are required to investigate if these species could be used as markers of hemodialysis efficiency. A concentration drop was also noted for benzene. Since an endogenous production of this compound is rather unlikely, its levels and behavior during HD may reflect previous exogenous exposure and/or reduced renal excretion and subsequent washout during the treatment.

References

  1. Anonymous: NKF KDOQI GUIDELINES. http://www.kidney.org/professionals/KDOQI/guideline_upHD_PD_VA/hd_rec2.htm, downloaded Mar 3, 2013

  2. Duranton F, Cohen G, De Smet R, Rodriguez M, Jankowski J, Vanholder R, Argiles A: Normal and pathologic concentrations of uremic toxins. J Am Soc Nephrol. 2012, 23: 1258-1270. 10.1681/ASN.2011121175.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Amann A, Corradi M, Mazzone P, Mutti A: Lung cancer biomarkers in exhaled breath. Expert Rev Mol Diagn. 2011, 11: 207-217. 10.1586/erm.10.112.

    Article  CAS  PubMed  Google Scholar 

  4. Amann A, Smith D: Breath analysis for clinical diagnosis and therapeutic monitoring. 2005, New Jersey: World Scientific

    Book  Google Scholar 

  5. Miekisch W, Schubert JK, Noeldge-Schomburg GF: Diagnostic potential of breath analysis–focus on volatile organic compounds. Clin Chim Acta. 2004, 347: 25-39. 10.1016/j.cccn.2004.04.023.

    Article  CAS  PubMed  Google Scholar 

  6. Bajtarevic A, Ager C, Pienz M, Klieber M, Schwarz K, Ligor M, Ligor T, Filipiak W, Denz H, Fiegl M, Hilbe W, Weiss W, Lukas P, Jamnig H, Hackl M, Haidenberger A, Buszewski B, Miekisch W, Schubert J, Amann A: Noninvasive detection of lung cancer by analysis of exhaled breath. BMC Cancer. 2009, 9: 348-10.1186/1471-2407-9-348.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Phillips M, Altorki N, Austin JH, Cameron RB, Cataneo RN, Kloss R, Maxfield RA, Munawar MI, Pass HI, Rashid A, Rom WN, Schmitt P, Wai J: Detection of lung cancer using weighted digital analysis of breath biomarkers. Clin Chim Acta. 2008, 393: 76-84. 10.1016/j.cca.2008.02.021.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Poli D, Carbognani P, Corradi M, Goldoni M, Acampa O, Balbi B, Bianchi L, Rusca M, Mutti A: Exhaled volatile organic compounds in patients with non-small cell lung cancer: cross sectional and nested short-term follow-up study. Respir Res. 2005, 6: 71-10.1186/1465-9921-6-71.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Simenhoff ML, Burke JF, Saukkonen JJ, Ordinario AT, Doty R: Biochemical profile or uremic breath. N Engl J Med. 1977, 297: 132-135. 10.1056/NEJM197707212970303.

    Article  CAS  PubMed  Google Scholar 

  10. Endre ZH, Pickering JW, Storer MK, Hu WP, Moorhead KT, Allardyce R, McGregor DO, Scotter JM: Breath ammonia and trimethylamine allow real-time monitoring of haemodialysis efficacy. Physiol Meas. 2011, 32: 115-130. 10.1088/0967-3334/32/1/008.

    Article  CAS  PubMed  Google Scholar 

  11. Ishida H, Satou T, Tsuji K, Kawashima N, Takemura H, Kosaki Y, Shiratori S, Agishi T: The breath ammonia measurement of the hemodialysis with a QCM-NH3 sensor. Biomed Mater Eng. 2008, 18: 99-106.

    CAS  PubMed  Google Scholar 

  12. Narasimhan LR, Goodman W, Patel CK: Correlation of breath ammonia with blood urea nitrogen and creatinine during hemodialysis. Proc Natl Acad Sci U S A. 2001, 98: 4617-4621. 10.1073/pnas.071057598.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Rolla G, Bruno M, Bommarito L, Heffler E, Ferrero N, Petrarulo M, Bagnis C, Bugiani M, Guida G: Breath analysis in patients with end-stage renal disease: effect of haemodialysis. Eur J Clin Invest. 2008, 38: 728-733. 10.1111/j.1365-2362.2008.02016.x.

    Article  CAS  PubMed  Google Scholar 

  14. Davies S, Spanel P, Smith D: Quantitative analysis of ammonia on the breath of patients in end-stage renal failure. Kidney Int. 1997, 52: 223-228. 10.1038/ki.1997.324.

    Article  CAS  PubMed  Google Scholar 

  15. Patterson CS, McMillan LC, Stevenson K, Radhakrishnan K, Shiels PG, Padgett MJ, Skeldon KD: Dynamic study of oxidative stress in renal dialysis patients based on breath ethane measured by optical spectroscopy. J Breath Res. 2007, 1: 026005-10.1088/1752-7155/1/2/026005.

    Article  PubMed  Google Scholar 

  16. Stevenson KS, Radhakrishnan K, Patterson CS, McMillan LC, Skeldon KD, Buist L, Padgett MJ, Shiels PG: Breath ethane peaks during a single haemodialysis session and is associated with time on dialysis. J Breath Res. 2008, 2: 026004-10.1088/1752-7155/2/2/026004.

    Article  CAS  PubMed  Google Scholar 

  17. Handelman GJ, Rosales LM, Barbato D, Luscher J, Adhikarla R, Nicolosi RJ, Finkelstein FO, Ronco C, Kaysen GA, Hoenich NA, Levin NW: Breath ethane in dialysis patients and control subjects. Free Radic Biol Med. 2003, 35: 17-23. 10.1016/S0891-5849(03)00183-7.

    Article  CAS  PubMed  Google Scholar 

  18. Capodicasa E, Brunori F, De Medio GE, Pelli MA, Vecchi L, Buoncristiani U: Effect of two-hour daily hemodialysis and sham dialysis on breath isoprene exhalation. Int J Artif Organs. 2007, 30: 583-588.

    CAS  PubMed  Google Scholar 

  19. Trovarelli G, Brunori F, De Medio GE, Timio M, Lippi G, Pelli MA, Capodicasa E: Onset, time course, and persistence of increased haemodialysis-induced breath isoprene emission. Nephron. 2001, 88: 44-47. 10.1159/000045958.

    Article  CAS  PubMed  Google Scholar 

  20. Capodicasa E, Trovarelli G, De Medio GE, Pelli MA, Lippi G, Verdura C, Timio M: Volatile alkanes and increased concentrations of isoprene in exhaled air during hemodialysis. Nephron. 1999, 82: 331-337. 10.1159/000045448.

    Article  CAS  PubMed  Google Scholar 

  21. Lirk P, Bodrogi F, Raifer H, Greiner K, Ulmer H, Rieder J: Elective haemodialysis increases exhaled isoprene. Nephrol Dial Transplant. 2003, 18: 937-941. 10.1093/ndt/gfg049.

    Article  CAS  PubMed  Google Scholar 

  22. Davies S, Spanel P, Smith D: A new 'online' method to measure increased exhaled isoprene in end-stage renal failure. Nephrol Dial Transplant. 2001, 16: 836-839. 10.1093/ndt/16.4.836.

    Article  CAS  PubMed  Google Scholar 

  23. Capodicasa E, Trovarelli G, Brunori F, Vecchi L, Carobi C, De M, Pelli MA, Buoncristiani U: Lack of isoprene overproduction during peritoneal dialysis. Perit Dial Int. 2002, 22: 48-52.

    PubMed  Google Scholar 

  24. Lee HJ, Meinardi S, Pahl MV, Vaziri ND, Blake DR: Exposure to potentially toxic hydrocarbons and halocarbons released from the dialyzer and tubing set during hemodialysis. Am J Kidney Dis. 2012, 60: 609-616. 10.1053/j.ajkd.2012.02.327.

    Article  CAS  PubMed  Google Scholar 

  25. Mochalski P, King J, Klieber M, Unterkofler K, Hinterhuber H, Baumann M, Amann A: Blood and breath levels of selected volatile organic compounds in healthy volunteers. Analyst. 2013, 138: 2134-2145. 10.1039/c3an36756h.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Amann A, Miekisch W, Pleil J, Risby T, Schubert J: Methodological issues of sample collection and analysis of exhaled breath. Eur Respir Mon. 2010, 49: 96-114.

    Google Scholar 

  27. Mochalski P, King J, Unterkofler K, Amann A: Stability of selected volatile breath constituents in Tedlar, Kynar and Flexfilm sampling bags. Analyst. 2013, 138: 1405-1418. 10.1039/c2an36193k.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. King J, Mochalski P, Kupferthaler A, Unterkofler K, Koc H, Filipiak W, Teschl S, Hinterhuber H, Amann A: Dynamic profiles of volatile organic compounds in exhaled breath as determined by a coupled PTR-MS/GC-MS study. Physiol Meas. 2010, 31: 1169-1184. 10.1088/0967-3334/31/9/008.

    Article  CAS  PubMed  Google Scholar 

  29. Goerl T, Kischkel S, Sawacki A, Fuchs P, Miekisch W, Schubert JK: Volatile breath biomarkers for patient monitoring during haemodialysis. J Breath Res. 2013, 7: 017116-10.1088/1752-7155/7/1/017116.

    Article  PubMed  Google Scholar 

  30. Mochalski P, Krapf K, Ager C, Wiesenhofer H, Agapiou A, Statheropoulos M, Fuchs D, Ellmerer E, Buszewski B, Amann A: Temporal profiling of human urine VOCs and its potential role under the ruins of collapsed buildings. Toxicol Mech Methods. 2012, 22: 502-511. 10.3109/15376516.2012.682664.

    Article  CAS  PubMed  Google Scholar 

  31. Salerno-Kennedy R, Cashman KD: Potential applications of breath isoprene as a biomarker in modern medicine: a concise overview. Wien Klin Wochenschr. 2005, 117: 180-186. 10.1007/s00508-005-0336-9.

    Article  CAS  PubMed  Google Scholar 

  32. Sharkey TD: Isoprene synthesis by plants and animals. Endeavour. 1996, 20: 74-78. 10.1016/0160-9327(96)10014-4.

    Article  CAS  PubMed  Google Scholar 

  33. Silver GM, Fall R: Enzymatic synthesis of isoprene from dimethylallyl diphosphate in aspen leaf extracts. Plant Physiol. 1991, 97: 1588-1591. 10.1104/pp.97.4.1588.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Miekisch W, Schubert JK, Vagts DA, Geiger K: Analysis of volatile disease markers in blood. Clin Chem. 2001, 47: 1053-1060.

    CAS  PubMed  Google Scholar 

  35. Wahl HG, Hoffmann A, Luft D, Liebich HM: Analysis of volatile organic compounds in human urine by headspace gas chromatography-mass spectrometry with a multipurpose sampler. J Chromatogr A. 1999, 847: 117-125. 10.1016/S0021-9673(99)00017-5.

    Article  CAS  PubMed  Google Scholar 

  36. Mills GA, Walker V: Headspace solid-phase microextraction profiling of volatile compounds in urine: application to metabolic investigations. J Chromatogr B Biomed Sci Appl. 2001, 753: 259-268. 10.1016/S0378-4347(00)00554-5.

    Article  CAS  PubMed  Google Scholar 

  37. Wahl HG, Hong Q, Hildenbrand S, Risler T, Luft D, Liebich H: 4-Heptanone is a metabolite of the plasticizer di(2-ethylhexyl) phthalate (DEHP) in haemodialysis patients. Nephrol Dial Transplant. 2004, 19: 2576-2583. 10.1093/ndt/gfh425.

    Article  CAS  PubMed  Google Scholar 

  38. Walker V, Mills GA: Urine 4-heptanone: a beta-oxidation product of 2-ethylhexanoic acid from plasticisers. Clin Chim Acta. 2001, 306: 51-61. 10.1016/S0009-8981(01)00390-4.

    Article  CAS  PubMed  Google Scholar 

  39. Thompson-Torgerson CS, Champion HC, Santhanam L, Harris ZL, Shoukas AA: Cyclohexanone contamination from extracorporeal circuits impairs cardiovascular function. Am J Physiol Heart Circ Physiol. 2009, 296: H1926-H1932. 10.1152/ajpheart.00184.2009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Sakata K, Kashiwagi K, Sharmin S, Ueda S, Irie Y, Murotani N, Igarashi K: Increase in putrescine, amine oxidase, and acrolein in plasma of renal failure patients. Biochem Biophys Res Comm. 2003, 305: 143-149. 10.1016/S0006-291X(03)00716-2.

    Article  CAS  PubMed  Google Scholar 

  41. Li N, Deng C, Yin X, Yao N, Shen X, Zhang X: Gas chromatography-mass spectrometric analysis of hexanal and heptanal in human blood by headspace single-drop microextraction with droplet derivatization. Anal Biochem. 2005, 342: 318-326. 10.1016/j.ab.2005.04.024.

    Article  CAS  PubMed  Google Scholar 

  42. Filipiak W, Sponring A, Filipiak A, Ager C, Schubert J, Miekisch W, Amann A, Troppmair J: TD-GC-MS analysis of volatile metabolites of human lung cancer and normal cells in vitro. Cancer Epidemiol Biomarkers Prev. 2010, 19: 182-195. 10.1158/1055-9965.EPI-09-0162.

    Article  CAS  PubMed  Google Scholar 

  43. Sponring A, Filipiak W, Ager C, Schubert J, Miekisch W, Amann A, Troppmair J: Analysis of volatile organic compounds (VOCs) in the headspace of NCI-H1666 lung cancer cells. Cancer Biomark. 2010, 7: 153-161.

    CAS  PubMed  Google Scholar 

  44. Daniewska-Michalska D, Motyl T, Gellert R, Kukulska W, Podgurniak M, Opechowska-Pacocha E, Ostrowski K: Efficiency of hemodialysis of pyrimidine compounds in patients with chronic renal failure. Nephron. 1993, 64: 193-197. 10.1159/000187313.

    Article  CAS  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgments

We appreciate funding from the Austrian Federal Ministry for Transport, Innovation and Technology (BMVIT/BMWA, project 836308, KIRAS) and funding by the Scientific and Technological Cooperation (Wissenschaftlich-Technische Zusammenarbeit - WTZ) between Austria and Poland (project no PL 02/2012). P.M, J.K., and K.U. also gratefully acknowledge support from the Austrian Science Fund (FWF) under Grant No. P24736-B23. We thank the government of Vorarlberg (Austria) for its generous support.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Anton Amann or Gert Mayer.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

PM contributed to the design of the study, developed the GC-MS measurement protocol, performed GC-MS analyses, calibration and validation measurements, data processing, data interpretation and wrote the draft of the manuscript. MH performed patients' interviews and documentation and collection of samples, AA and GM designed the study, supervised the experiments, revised and approved the manuscript. JK and KU performed the data analysis, contributed to their interpretation and revised the manuscript. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Mochalski, P., King, J., Haas, M. et al. Blood and breath profiles of volatile organic compounds in patients with end-stage renal disease. BMC Nephrol 15, 43 (2014). https://doi.org/10.1186/1471-2369-15-43

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2369-15-43

Keywords