Novel methodology for the follow-up of acute lymphoblastic leukemia using FTIR microspectroscopy

Reagentless Vis-NIR Spectroscopy Point-of-Care for Feline Total White Blood Cell Counts

Spectral point-of-care technology is reagentless with minimal sampling (<10 μL) and can be performed in real-time. White blood cells are non-dominant in blood and in spectral information, suffering significant interferences from dominant constituents such as red blood cells, hemoglobin and billirubin. White blood cells of a bigger size can account for 0.5% to 22.5% of blood spectra information. Knowledge expansion was performed using data augmentation through the hybridization of 94 real-world blood samples into 300 synthetic data samples. Synthetic data samples are representative of real-world data, expanding the detailed spectral information through sample hybridization, allowing us to unscramble the spectral white blood cell information from spectra, with correlations of 0.7975 to 0.8397 and a mean absolute error of 32.25% to 34.13%; furthermore, we achieved a diagnostic efficiency between 83% and 100% inside the reference interval (5.5 to 19.5 × 109 cell/L), and 85.11% for cases with extreme high white blood cell counts. At the covariance mode level, white blood cells are quantified using orthogonal information on red blood cells, maximizing sensitivity and specificity towards white blood cells, and avoiding the use of non-specific natural correlations present in the dataset; thus, the specifity of white blood cells spectral information is increased. The presented research is a step towards high-specificity, reagentless, miniaturized spectral point-of-care hematology technology for Veterinary Medicine.

Infrared Spectroscopy: A New Frontier in Hematological Disease Diagnosis

Hematological diseases, due to their complex nature and diverse manifestations, pose significant diagnostic challenges in healthcare. The pressing need for early and accurate diagnosis has driven the exploration of novel diagnostic techniques. Infrared (IR) spectroscopy, renowned for its noninvasive, rapid, and cost-effective characteristics, has emerged as a promising adjunct in hematological diagnostics. This review delves into the transformative role of IR spectroscopy and highlights its applications in detecting and diagnosing various blood-related ailments. We discuss groundbreaking research findings and real-world applications while providing a balanced view of the potential and limitations of the technique. By integrating advanced technology with clinical needs, we offer insights into how IR spectroscopy may herald a new era of hematological disease diagnosis.

Application of Fourier Transform InfraRed spectroscopy of machine learning with Support Vector Machine and principal components analysis to detect biochemical changes in dried serum of patients with primary myelofibrosis

Primary myelofibrosis (PM) is a myeloproliferative neoplasm characterized by stem cell-derived clonal neoplasms. Several factors are involved in diagnosing PM, including physical examination, peripheral blood findings, bone marrow morphology, cytogenetics, and molecular markers. Commonly gene mutations are used. Also, these gene mutations exist in other diseases, such as polycythemia vera and essential thrombocythemia. Hence, understanding the molecular mechanism and finding disease-related biomarker characteristics only for PM is crucial for the treatment and survival rate. For this purpose, blood samples of PM (n = 85) vs. healthy controls (n = 45) were collected for biochemical analysis, and, for the first time, Fourier Transform InfraRed (FTIR) spectroscopy measurement of dried PM and healthy patients' blood serum was analyzed. A Support Vector Machine (SVM) model with optimized hyperparameters was constructed using the grid search (GS) method. Then, the FTIR spectra of the biomolecular components of blood serum from PM patients were compared to those from healthy individuals using Principal Components Analysis (PCA). Also, an analysis of the rate of change of FTIR spectra absorption was studied. The results showed that PM patients have higher amounts of phospholipids and proteins and a lower amount of H-O=H vibrations which was visible. The PCA results indicated that it is possible to differentiate between dried blood serum samples collected from PM patients and healthy individuals. The Grid Search Support Vector Machine (GS-SVM) model showed that the prediction accuracy ranged from 0.923 to 1.00 depending on the FTIR range analyzed. Furthermore, it was shown that the ratio between α-helix and β-sheet structures in proteins is 1.5 times higher in PM than in control people. The vibrations associated with the CO bond and the amide III region of proteins showed the highest probability value, indicating that these spectral features were significantly altered in PM patients compared to healthy ones' spectra. The results indicate that the FTIR spectroscope may be used as a technique helpful in PM diagnostics. The study also presents preliminary results from the first prospective clinical validation study.

Identification of acute myeloid leukemia by infrared difference spectrum of peripheral blood

Acute myeloid leukemia (AML) is a high mortality and recurrence rates hematologic malignancy. Thus, whatever early detection or subsequent visit are both of high significance. Traditional AML diagnosis is conducted via peripheral blood (PB) smear and bone marrow (BM) aspiration. But BM aspiration is a painful burden for patients especially in early detection or subsequent visit. Herein, the use of PB to evaluate and identify the leukemia characteristics will be an attractive alternative source for early detection or subsequent visit. Fourier transform infrared spectroscopy (FTIR) is a time- and cost-effective approach to reveal the disease-related molecular features and variations. However, to the best of our knowledge, there is no attempts using infrared spectroscopic signatures of PB to replace BM for identifying AML. In this work, we are the first to develop a rapid and minimally invasive method to identify AML by infrared difference spectrum (IDS) of PB with only 6 characteristic wavenumbers. We dissect the leukemia-related spectroscopic signatures of three subtypes of leukemia cells (U937, HL-60, THP-1) by IDS, revealing biochemical molecular information about leukemia for the first time. Furthermore, the novel study links cellular features to complex features of blood system which demonstrates the sensitivity and specificity with IDS method. On this basis, BM and PB of AML patients and healthy controls were provided to parallel comparison. The IDS of BM and PB combined with principal component analysis method revealing that the leukemic components in BM and PB can be described by IDS peaks of PCA loadings, respectively. It is demonstrated that the leukemic IDS signatures of BM can be replaced by the leukemic IDS signatures of PB. In addition, the IDS signatures of leukemia cells are reflected in PB of AML patients with peaks of 1629, 1610, 1604, 1536, 1528 and 1404 cm^-1 for the first time as well. To this end, we access the leukemic signatures of IDS peaks to compare the PB of AMLs and healthy controls. It is confirmed that the leukemic components can be detected from PB of AML and distinguished into positive (100%) and negative (100%) groups successfully by IDS classifier which is a novel and unique spectral classifier. This work demonstrates the potential use of IDS as a powerful tool to detect leukemia via PB which can release subjects' pain remarkably.

Infrared Spectroscopy of Blood

The magnitude of infectious diseases in the twenty-first century created an urgent need for point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large impact on the ability to test patients with a suspected parasitic, bacteria, fungal, and viral infections. New point-of-care tests need to be highly sensitive, specific, and easy to use and provide results in rapid time. Infrared spectroscopy, coupled to multivariate and machine learning algorithms, has the potential to meet this unmet demand requiring minimal sample preparation to detect both pathogenic infectious agents and chronic disease markers in blood. This focal point article will highlight the application of Fourier transform infrared spectroscopy to detect disease markers in blood focusing principally on parasites, bacteria, viruses, cancer markers, and important analytes indicative of disease. Methodologies and state-of-the-art approaches will be reported and potential confounding variables in blood analysis identified. The article provides an up to date review of the literature on blood diagnosis using infrared spectroscopy highlighting the recent advances in this burgeoning field.

A Preliminary Study of FTIR Spectroscopy as a Potential Non-Invasive Screening Tool for Pediatric Precursor B Lymphoblastic Leukemia

Early detection of the most common pediatric neoplasm, B-cell precursor lymphoblastic leukemia (BCP-ALL), is challenging and requires invasive bone marrow biopsies. The purpose of this study was to establish new biomarkers for early screening to detect pediatric leukemia. In this small cohort study, Fourier transform infrared (FTIR) spectra were obtained from blood sera of 10 patients with BCP-ALL and were compared with the control samples from 10 children with some conditions other than neoplasm. Using various analytical approaches, including a new physical model, some significant differences were observable. The most important include: the different peak area ratio 2965/1645 cm⁻¹ (p = 0.002); the lower average percentage of both β-sheet and β-turn protein structures in the sera of BCP-ALL patients (p = 0.03); an AdaBoost-based predictive model for classifying healthy vs. BCP-ALL patients with 85% accuracy; and the phase shift of the first derivative in the spectral range 1050–1042 cm⁻¹ correlating with white blood cell (WBC) and blast cell count in BCP-ALL patients contrary to the samples obtained from healthy controls. Although verification in larger groups of patients will be necessary, these promising results suggest that FTIR spectroscopy may have future potential for the early screening of BCP-ALL.

Analysis of ovarian tumor pathology by Fourier Transform Infrared Spectroscopy

Background

Ovarian cancer is the second most common cancer among women and the leading cause of death among gynecologic malignancies. In recent years, infrared (IR) spectroscopy has gained attention as a simple and inexpensive method for the biomedical study of several diseases. In the present study infrared spectra of normal and malignant ovarian tissues were recorded in the 650 cm^-1 to 4000 cm^-1 region.

Methods

Post surgical tissue samples were taken from the normal and tumor sections of the tissue. Fourier Transform Infrared (FTIR) data on twelve cases of ovarian cancer with different grades of malignancy from patients of different age groups were analyzed.

Results

Significant spectral differences between the normal and the ovarian cancerous tissues were observed. In particular changes in frequency and intensity in the spectral region of protein, nucleic acid and lipid vibrational modes were observed. It was evident that the sample-to-sample or patient-to-patient variations were small and the spectral differences between normal and diseased tissues were reproducible.

Conclusion

The measured spectroscopic features, which are the spectroscopic fingerprints of the tissues, provided the important differentiating information about the malignant and normal tissues. The findings of this study demonstrate the possible use of infrared spectroscopy in differentiating normal and malignant ovarian tissues.

Vibrational spectroscopy: a clinical tool for cancer diagnostics

Vibrational spectroscopy techniques have demonstrated potential to provide non-destructive, rapid, clinically relevant diagnostic information. Early detection is the most important factor in the prevention of cancer. Raman and infrared spectroscopy enable the biochemical signatures from biological tissues to be extracted and analysed. In conjunction with advanced chemometrics such measurements can contribute to the diagnostic assessment of biological material. This paper also illustrates the complementary advantage of using Raman and FTIR spectroscopy technologies together. Clinical requirements are increasingly met by technological developments which show promise to become a clinical reality. This review summarises recent advances in vibrational spectroscopy and their impact on the diagnosis of cancer.

Biochemical alterations in human cells irradiated with alpha particles delivered by macro- or microbeams

Irradiation of individual cell nuclei with charged-particle microbeams requires accurate identification and localization of cells using Hoechst staining and UV illumination before computer-monitored localization of each cell. Using Fourier-transform infrared microspectroscopy (FT-IRM), we investigated whether the experimental conditions used for cell recognition induce cellular changes prior to irradiation and compared biochemical changes and DNA damage after targeted and nontargeted irradiation with alpha particles delivered by macro- or microbeams, using gamma radiation as a reference. Molecular damage in single HaCaT cells was studied by means of FT-IRM and comet assay (Gault et al., Int. J. Radiat. Biol. 81, 767-779, 2005). Hoechst 33342-stained HaCaT cells were exposed to single doses of 2 Gy (239)Pu alpha particles from a broad-beam irradiator, five impacted alpha particles from a microbeam irradiator, or 6 Gy gamma rays from (137)Cs, each of which resulted in about 5% clonogenic survival. FT-IRM of control cells indicated that Hoechst binding to nuclear DNA induced subtle changes in DNA conformation, and its excitation under UV illumination induced a dramatic shift of the DNA conformation from A to B as well as major DNA damage as measured by the comet assay. Comparison of the FT-IRM spectra of cells exposed to gamma rays or alpha particles specifically targeted to the nucleus, alpha particles from a broad-beam irradiator revealed spectral changes corresponding to all changes in constitutive bases in nucleic acids, suggesting oxidative damage in these bases, as well as structural damage in the deoxyribose-phosphate backbone of DNA and the osidic structure of nucleic acids. Concomitantly, spectral changes specific to protein suggested structural modifications. Striking differences in IR spectra between targeted microbeam- and nontargeted macrobeam-irradiated cells indicated greater residual unrepaired or misrepaired damage after microbeam irradiation. This was confirmed by the comet assay data. These results show that FT-IRM, together with the comet assay, is useful for assessing direct radiation-induced damage to nucleic acids and proteins in single cells and for investigating the effects of radiation quality. Significantly, FT-IRM revealed that Hoechst 33342 binding to DNA and exposure to UV light induce a dramatic change in DNA conformation as well as DNA damage. These findings suggest that fluorochrome staining should be avoided in studies of ionizing radiation-induced bystander effects based on charged-particle microbeam irradiation. An alternative cell nucleus recognition system that avoids nuclear matrix damage and its possible contribution to propagation of biological effects from irradiated cells to neighboring nontargeted cells needs to be developed.

Early spectral changes of cellular malignant transformation using Fourier transform infrared microspectroscopy

Fourier transform infrared microspectroscopy (FTIR-MSP) is potentially a powerful analytical method for identifying the spectral properties of biological activity in cells. The goal of the present research is the implementation of FTIR-MSP to study early spectral changes accompanying malignant transformation of cells. As a model system, cells in culture are infected by the murine sarcoma virus (MuSV), which induces malignant transformation. The spectral measurements are taken at various postinfection time intervals. To follow up systematically the progress of the spectral changes at early stages of cell transformation, it is essential first to determine and validate consistent and significant spectral parameters (biomarkers), which can evidently discriminate between normal and cancerous cells. Early stages of cell transformation are classified by an array of spectral biomarkers utilizing cluster analysis and discriminant classification function techniques. The classifications indicate that the first spectral changes are detectable much earlier than the first morphological signs of cell transformation. Our results point out that the first spectral signs of malignant transformation are observed on the first and third day of postinfection (PI) (for NIH/3T3 and MEF cell cultures, respectively), while the first visible morphological alterations are observed only on the third and seventh day, respectively. These results strongly support the potential of developing FTIR microspectroscopy as a simple, reagent-free method for early detection of malignancy.

Biomolecular characterisation of leucocytes by infrared spectroscopy

Over the last 15 years, infrared (IR) spectroscopy has developed into a novel and powerful biomedical tool that has multiple applications in the field of haematology. By revealing subtle alterations in both the conformation and concentration of key macromolecules, such as DNA, protein and lipids, IR spectroscopy has been employed to investigate multiple aspects of leucocyte physiology. IR spectroscopy has been used, for example, to diagnose and prognose leukaemia; to characterise differentiation and apoptotic processes; to predict drug sensitivity and resistance in leukaemic patients undergoing chemotherapy; to monitor the response of leucocytes to chemotherapy and to perform human leucocyte antigen matching for bone marrow transplant patients. Such studies have provided insight into pathogenic mechanisms underlying specific leucocyte disorders, especially leukaemia. While it is likely to be some considerable time before IR spectroscopy is sufficiently developed to displace the established technologies, IR spectroscopy has the potential to become a valuable analytic tool in basic and clinical haematology.

Infrared microspectroscopy study of gamma-irradiated and H2O2-treated human cells

PURPOSE

Fourier transform infrared microspectroscopy (FT-IRM), which allows simultaneous detection of biochemical changes in the various cellular compartments, was used as a new analytical tool to study early radiation- and oxidation-induced cellular damage at the molecular level in single human cells.

MATERIALS AND METHODS

HaCaT keratinocytes were given a single dose of 6 Gy (137Cs) or 650 microM H2O2, neither of which is cytotoxic (neutral red assay) but both of which result in less than 10% clonogenic survival, and deposited on zinc sulphur (ZnS) windows for infra-red (IR) spectra acquisition, immediately and 2 h after treatment. DNA damage was assessed by comet assays in alkaline conditions.

RESULTS

Comet assays showed that the yield of DNA damage was higher after H2O2 treatment than after gamma-irradiation. The comparison between spectra of irradiated and H2O2-treated cells showed common changes, but H2O2 treatment presented a broader spectrum of cellular oxidation than ionizing radiation. The bands characteristic of deoxyribose/ribose in nucleic acids centered at 966 and 997 cm(-1), the bands characteristic of nucleic acid bases centered at 1572, 1599, and 1691 cm(-1), as well as the bands characteristic of ordered secondary structure of DNA centered at 1713-1716 cm(-1), were changed in absorbance, sometimes accompanied by a shift. The bands characteristic of proteins centered at 1515, 1530, 1544 and 1640 cm(-1) were changed in absorbance indicating a decrease in secondary structure of proteins. Moreover, the absorbance of the bands at 1515 and 1630 cm(-1) was correlated the yield of reactive oxygen species. Two hours after both treatments most changes were persistent, suggesting either irreversible or not easily repaired damage or persistent oxidative stress.

CONCLUSION

As we previously demonstrated in radiation-induced apoptosis studies, these results show that FT-IRM, in correlation with other cellular biology techniques, might be useful for assessing immediate radiation- and oxidative-induced damage to nucleic acids and proteins in single human cells.

Continuous monitoring of WBC (biochemistry) in an adult leukemia patient using advanced FTIR-spectroscopy

Fourier transform infrared (FTIR)-spectroscopy has been found useful for monitoring the effectiveness of drugs during chemotherapy in leukemia patients. In the present work, spectral changes that occurred in the white blood cells (WBC) of an adult acute myeloid leukemia (AML) patient and their possible utilization for monitoring biochemistry of WBC were investigated. The phosphate absorbance from nucleic acids and the lipid-protein ratio in the WBC decreased immediately after treatment and then increased to levels of a control group. Similar observations were recorded in child patients with acute lymphoblastic leukemia (ALL) who were used as test cases. These parameters maybe used as possible markers to indicate successful remission and suggest that FTIR-spectroscopy may provide a rapid optical method for continuous monitoring or evaluation of a WBC population.

Molecular and chemical characterization of blood cells by infrared spectroscopy: a new optical tool in hematology

Infrared (IR) spectroscopy has made important contributions to the arena of hematology in the past decade. The normal physiology and pathologic modifications of the three cellular elements in blood, i.e., leukocytes, erythrocytes and platelets, have been thoroughly investigated by this recently emerged optical tool. By revealing subtle alterations in the structures of macromolecules in these blood cells, IR spectroscopy has become an ideal complementary analytical tool to conventional biochemical assays used to diagnose various common hematological disorders. Such traditional assays include molecular structure measurements that determine erythrocyte membrane fluidity and conformational changes, lipid profiling of platelet membranes, as well as assays of leukocyte proliferation and differentiation. IR spectroscopic-based techniques can be used to analyze DNA alterations, secondary structural changes in proteins, and to profile cellular lipids. From a molecular and biomedical perspective, IR spectroscopy has been explored for the diagnosis and prognosis of leukemia and beta-thalassemia, to predict drug sensitivity and resistance in chemotherapy patients, and more recently to examine apoptotic processes in blood cells. These studies have shown great promise in the early identification of drug-resistant patients and the early diagnosis of hematological disorders, especially malignancies. Furthermore, IR spectroscopic-based investigations will enable specific mechanisms underlying hematological disorders to be elucidated by revealing the molecular changes in the blood cells at a very early pathogenesis stage.

FT-IR spectroscopic analysis of normal and cancerous tissues of esophagus

AIM: To investigate the special Fourier transform infrared spectroscopy (FT-IR) spectra in normal and cancerous tissues of esophagus.

METHODS: Twenty-seven pairs of normal and cancerous tissues of esophagus were studied by using FT-IR and the special spectra characteristics were analyzed in different tissues.

RESULTS: Different spectra were found in normal and cancerous tissues. The peak at 1550/cm was weak and wide in cancerous tissues but strong and high in normal tissues.The ratio of I 1647/I 1550 was 2.0 in normal tissues and 2.36 in cancerous tissues (P < 0.05). The ratio of I 1550/I 1080 was 4.5 in normal tissues and 3.4 in cancerous tissues (P < 0.01). The peak at 1453/cm was higher than at 1402/cm in normal tissue and lower than at 1402/cm in cancerous tissues.

CONCLUSION: The results indicate that FTIR may be used in clinical diagnosis.

Preliminary results of evaluation of progress in chemotherapy for childhood leukemia patients employing Fourier-transform infrared microspectroscopy and cluster analysis

Acute lymphoblastic leukemia (ALL) is the most common malignancy in children, but remarkable progress in methods of chemotherapy has increased the cure rate to 80%. The leukemic cells called blasts are eliminated within 7 days of chemotherapy. Clinically, the blast count is monitored directly with the use of blood smears on the basis of specific genetic markers and immunophenotyping methods such as flow cytometry. In this article, we present preliminary results, obtained with the use of Fourier-transform infrared microspectroscopy and cluster analysis, of an approach to monitoring the progress made with chemotherapy in 1 B-cell and 2 T-cell pediatric ALL patients. Our results indicated that the biological marker derived from the spectra did not provide accurate prediction of the progress made with chemotherapy. However, cluster analysis of FTIR-MSP spectra provided good classification of the samples with and without blasts, which correlate satisfactorily with clinical data. Extensive studies are required to substantiate our findings statistically which may have potential application of FTIM in the diagnosis and follow-up of various types of malignancies.