Studies on acute human infections using FTIR microspectroscopy and cluster analysis.

A novel methodology for the diagnosis of acute infections using FTIR microspectroscopy (FTIR-MSP) data on blood components and cluster analysis is presented. Blood samples were collected from 11 patients suffering from various infections and 16 age-matched healthy human controls. Blood components such as white blood cells, red blood cells, and plasma were isolated using standard procedures and FTIR-MSP of these components was utilized. A cluster analysis of the FTIR spectra was performed. The spectra obtained from the three blood components of patients were different from those of controls. The FTIR spectra of white blood cells from patients suffering infections were significantly different from the controls. Cluster analyses of averaged FTIR-MSP spectra of white blood cells provided 100% classification between patients and healthy controls.

[1]  A. Baldwin,et al.  THE NF-κB AND IκB PROTEINS: New Discoveries and Insights , 1996 .

[2]  Henry H. Mantsch,et al.  Infrared spectroscopy of biomolecules , 1996 .

[3]  Thomas Udelhoven,et al.  Identification of scrapie infection from blood serum by Fourier transform infrared spectroscopy. , 2002, Analytical chemistry.

[4]  Max Diem,et al.  Infrared Spectroscopy of Cells and Tissues: Shining Light onto a Novel Subject , 1999 .

[5]  K. Knutson,et al.  Fourier transform infrared spectroscopy investigations of protein structure. , 1995, Pharmaceutical biotechnology.

[6]  S. Kotowich,et al.  Arthritis diagnosis based upon the near-infrared spectrum of synovial fluid , 2004, Rheumatology International.

[7]  Dukor Rk,et al.  A new, non-destructive method for analysis of clinical samples with FT-IR microspectroscopy. Breast cancer tissue as an example. , 1998 .

[8]  R A Shaw,et al.  Quantitation of protein, creatinine, and urea in urine by near-infrared spectroscopy. , 1996, Clinical biochemistry.

[9]  P Lasch,et al.  FT-IR microspectroscopic imaging of human carcinoma thin sections based on pattern recognition techniques. , 1998, Cellular and molecular biology.

[10]  Whelen Ac,et al.  The role of nucleic acid amplification and detection in the clinical microbiology laboratory. , 1996 .

[11]  Noel Roeges.  A Guide to the Complete Interpretation of Infrared Spectra of Organic Structures , 1994 .

[12]  S. Argov,et al.  Diagnostic potential of Fourier-transform infrared microspectroscopy and advanced computational methods in colon cancer patients. , 2002, Journal of biomedical optics.

[13]  K. Brandenburg,et al.  Infrared spectroscopy of glycolipids. , 1998, Chemistry and physics of lipids.

[14]  R. Somorjai,et al.  Disease pattern recognition testing for rheumatoid arthritis using infrared spectra of human serum. , 2001, Clinica chimica acta; international journal of clinical chemistry.

[15]  R A Shaw,et al.  Multianalyte Serum Analysis Using Mid-Infrared Spectroscopy , 1998, Annals of clinical biochemistry.

[16]  H P Wang,et al.  Microscopic FTIR studies of lung cancer cells in pleural fluid. , 1997, The Science of the total environment.

[17]  J. García-de-Lomas,et al.  New directions in diagnostics. , 1997, Medical device technology.

[18]  B. Rigas,et al.  Cytologically normal cells from neoplastic cervical samples display extensive structural abnormalities on IR spectroscopy: implications for tumor biology. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[19]  C. Rosen,et al.  Rhinovirus infection associated with serious lower respiratory illness in patients with bronchopulmonary dysplasia. , 1997, The Pediatric infectious disease journal.

[20]  Stephan Jacob,et al.  Recognition of disease-specific patterns in FT-IR spectra of human sera , 2000, BiOS.

[21]  R. Somorjai,et al.  Disease pattern recognition in infrared spectra of human sera with diabetes mellitus as an example. , 2000, Applied optics.