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Interference of hemolysis, hyperlipidemia, and icterus on plasma infrared spectral profile

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Abstract

Recently, pre-analytical, analytical, and post-analytical issues have been addressed to implement biofluid FTIR spectroscopy as a novel diagnostic tool in the clinical setting. Although hemolysis, icterus, and hyperlipidemia are known to interfere with colorimetric and turbidimetric biochemical methods, there are no data on their impact on serum/plasma FTIR spectra. This study aimed at investigating the impact of hemoglobin, bilirubin, and triglycerides concentrations on plasma spectral analysis. Plasma samples with high concentrations of hemoglobin, conjugated bilirubin, or triglycerides were studied. To mimic the various concentrations observed in clinical setting, samples were diluted using normal plasma and analyzed using high-throughput FTIR spectroscopy. Hemolytic, icteric, and hyperlipidemic plasma spectra were compared with control plasma spectra. Unsupervised analysis of all spectra was performed using principal component analysis. The comparison between control and hemolytic plasmas did not show spectral differences in the range of hemoglobin concentrations observed in spurious or pathological hemolysis. By contrast, spectra from lipidemic plasmas had different spectral profiles compared with control plasma, exhibiting increased absorbance in lipid bands. Differences in the same spectral regions were observed in spectra from icteric plasma, which may be explained by the hyperlipidemia associated with cholestasis. PCA did not discriminate between control and hemolytic plasmas up to 1 g/L hemoglobin but confirmed the interference of bilirubin and triglycerides concentrations on spectral classification. Our results show that hemolysis does not have an impact on the plasma spectral profile except for high concentrations of hemoglobin rarely observed in clinical practice, whereas icterus and hyperlipidemia constitute significant confounding factors.

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References

  1. Baker MJ, Hussain SR, Lovergne L, Untereiner V, Hughes C, Lukaszewski RA, et al. Developing and understanding biofluid vibrational spectroscopy: a critical review. Chem Soc Rev. 2016;45(7):1803–18.

    Article  CAS  Google Scholar 

  2. Medipally DK, Maguire A, Bryant J, Armstrong J, Dunne M, Finn M, et al. Development of a high throughput (HT) Raman spectroscopy method for rapid screening of liquid blood plasma from prostate cancer patients. Analyst. 2017;142(8):1216–26.

    Article  CAS  Google Scholar 

  3. Ollesch J, Heinze M, Heise HM, Behrens T, Brüning T, Gerwert K. It’s in your blood: spectral biomarker candidates for urinary bladder cancer from automated FTIR spectroscopy. J Biophotonics. 2014;7(3–4):210–21.

    Article  CAS  Google Scholar 

  4. Owens GL, Gajjar K, Trevisan J, Fogarty SW, Taylor SE, Da Gama-Rose B, et al. Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients. J Biophotonics. 2014;7(3–4):200–9.

    Article  CAS  Google Scholar 

  5. Wang H, Zhang S, Wan L, Sun H, Tan J, Su Q. Screening and staging for non-small cell lung cancer by serum laser Raman spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc. 2018;201:34–8.

    Article  CAS  Google Scholar 

  6. Lippi G, Da Rin G. Advantages and limitations of total laboratory automation: a personal overview. Clin Chem Lab Med. 2019;57(6):802–11.

    Article  CAS  Google Scholar 

  7. Lippi G, Becan-McBride K, Behulova D, Bowen RA, Church S, Delanghe J, et al. Preanalytical quality improvement: in quality we trust. Clin Chem Lab Med. 2013;51(1):229–41.

    CAS  PubMed  Google Scholar 

  8. Lovergne L, Bouzy P, Untereiner V, Garnotel R, Baker MJ, Thiéfin G, et al. Biofluid infrared spectro-diagnostics: pre-analytical considerations for clinical applications. Faraday Discuss. 2016;187:521–37.

    Article  CAS  Google Scholar 

  9. Lovergne L, Clemens G, Untereiner V, Lukaszweski RA, Sockalingum GD, Baker MJ. Investigating optimum sample preparation for infrared spectroscopic serum diagnostics. Anal Methods. 2015;7(17):7140–9.

    Article  Google Scholar 

  10. Lovergne L, Lovergne J, Bouzy P, Untereiner V, Offroy M, Garnotel R, et al. Investigating pre-analytical requirements for infrared spectroscopy of blood-derived products. J Biophotonics. 2019;12(12):e201900177.

  11. Farrell CJ, Carter AC. Serum indices: managing assay interference. Ann Clin Biochem. 2016;53(5):527–38.

    Article  CAS  Google Scholar 

  12. Monneret D, Mestari F, Atlan G, Corlouer C, Ramani Z, Jaffre J, et al. Hemolysis indexes for biochemical tests and immunoassays on Roche analyzers: determination of allowable interference limits according to different calculation methods. Scand J Clin Lab Invest. 2015;75(2):162–9.

    Article  CAS  Google Scholar 

  13. Lippi G, Cadamuro J, Danese E, Gelati M, Montagnana M, von Meyer A, et al. Internal quality assurance of HIL indices on Roche Cobas c702. PLoS One. 2018;13(7):e0200088.

    Article  Google Scholar 

  14. Moore GL, Ledford ME, Merydith A. A micromodification of the Drabkin hemoglobin assay for measuring plasma hemoglobin in the range of 5 to 2000 mg/dl. Biochem Med. 1981;26(2):167–73.

    Article  CAS  Google Scholar 

  15. Nikolac Gabaj N, Miler M, Vrtaric A, Hemar M, Filipi P, Kocijancic M, et al. Precision, accuracy, cross reactivity and comparability of serum indices measurement on Abbott Architect c8000, Beckman Coulter AU5800 and Roche Cobas 6000 c501 clinical chemistry analyzers. Clin Chem Lab Med. 2018;56(5):776–88.

    Article  CAS  Google Scholar 

  16. Lippi G, Plebani M, Di Somma S, Cervellin G. Hemolyzed specimens: a major challenge for emergency departments and clinical laboratories. Crit Rev Clin Lab Sci. 2001;48(3):143–53.

    Article  Google Scholar 

  17. Heimerl S, Boettcher A, Kaul H, Liebisch G. Lipid profiling of lipoprotein X: implications for dyslipidemia in cholestasis. Biochim Biophys Acta. 2016;1861(8):681–7.

    Article  CAS  Google Scholar 

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Acknowledgments

Support from SATT Nord (Société d’Accélération du Transfert de Technologie) is gratefully acknowledged. The authors thank the PICT-IBiSA Platform for vibrational spectroscopy instrument facilities.

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Author notes

  1. Roselyne Garnotel, Gérard Thiéfin and Ganesh D. Sockalingum contributed equally to this work.

Authors and Affiliations

  1. Université de Reims Champagne-Ardenne, BioSpecT EA7506, UFR de Pharmacie, 51097, Reims, France

    Valérie Untereiner, Roselyne Garnotel, Gérard Thiéfin & Ganesh D. Sockalingum

  2. Université de Reims Champagne-Ardenne, PICT, 51097, Reims, France

    Valérie Untereiner

  3. CHU de Reims, Hôpital Maison Blanche, Laboratoire de Biochimie-Pharmacologie-Toxicologie, 51092, Reims, France

    Roselyne Garnotel

  4. CHU de Reims, Hôpital Robert Debré, Service d’Hépato-Gastroentérologie, 51092, Reims, France

    Gérard Thiéfin

Authors
  1. Valérie Untereiner
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  2. Roselyne Garnotel
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  3. Gérard Thiéfin
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  4. Ganesh D. Sockalingum
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Correspondence to Ganesh D. Sockalingum.

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Untereiner, V., Garnotel, R., Thiéfin, G. et al. Interference of hemolysis, hyperlipidemia, and icterus on plasma infrared spectral profile. Anal Bioanal Chem 412, 805–810 (2020). https://doi.org/10.1007/s00216-019-02312-0

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  • DOI: https://doi.org/10.1007/s00216-019-02312-0

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