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Thermodynamic Sensitivity of Blood Plasma Components in Patients Afflicted with Skin, Breast and Pancreatic Forms of Cancer. Cancers (Basel) 2022; 14:cancers14246147. [PMID: 36551631 PMCID: PMC9776601 DOI: 10.3390/cancers14246147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/05/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
According to the World Health Organization's 2018 Global Cancer Survey, cancer is the second leading cause of death. From this survey, the third most common is breast cancer, the fifth is melanoma malignum and pancreatic adenocarcinoma ranks twentieth. Undoubtedly, the early diagnosis and monitoring of these tumors and related research is important for aspects of patient care. The aim of our present review was to explain an impressive methodology that is deemed suitable in reference to studying blood sample deviations in the case of solid tumors. Essentially, we compared the heat denaturation responses of blood plasma components through differential scanning calorimetry (DSC). In the control, between five and seven separable components can be detected, in which the primary component was albumin, while in the case of tumorous patients, the peaks of immunoglobulins were dominant. Moreover, the shape of the plasma DSC curves changed with a shift in the higher temperature ranges; thus, their pattern can be used as a suitable marker of direct immunological responses. The further development of the analysis of DSC curves raises the possibility of the early diagnosis of a potential tumor, the monitoring of diseases, or testing the efficacy of the therapy from a single drop of blood.
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Calorimetric Markers for Detection and Monitoring of Multiple Myeloma. Cancers (Basel) 2022; 14:cancers14163884. [PMID: 36010876 PMCID: PMC9405568 DOI: 10.3390/cancers14163884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary This review highlights the potential of differential scanning calorimetry for multiple myeloma diagnosis and monitoring of the treatment outcome. The thermodynamic signatures of blood sera from patients with multiple myeloma are strongly dependent on the concentration and isotype of the secreted monoclonal immunoglobulins. Mathematical methods developed to analyze the biocalorimetry data and distinguish “diseased” from “healthy” thermogram to stratify plasma calorimetric profiles and determine specific interrelations between calorimetric and biochemical/clinical data are discussed. Abstract This review summarizes data obtained thus far on the application of differential scanning calorimetry (DSC) for the analysis of blood sera from patients diagnosed with multiple myeloma (MM) with the secretion of the most common isotypes of monoclonal proteins (M-proteins), free light chains (FLC) and non-secretory MM, as well as Waldenström macroglobulinemia and the premalignant state monoclonal gammopathy of undetermined significance. The heterogeneous nature of MM is reflected in the thermal stability profiles of the blood serum proteome of MM patients found to depend on both the level and the isotype of the secreted M-proteins or FLC. Common calorimetric markers feature the vast majority of the different myeloma types, i.e., stabilization of the major serum proteins and decrease in the albumin/globulin heat capacity ratio. A unique calorimetric fingerprint of FLC molecules forming amorphous aggregates is the low-temperature transition centered at 57 °C for a calorimetric set of FLC MM and at 46–47 °C for a single FLC MM case for which larger aggregates were formed. The calorimetric assay proved particularly advantageous for non-secretory MM and is thus a suitable tool for monitoring such patients during treatment courses. Thus, DSC provides a promising blood-based approach as a complementary tool for MM detection and monitoring.
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Wasserman LA, Yurina LV, Vasilieva AD, Rosenfeld MA. Effect of Hypochlorite- and Hydrogen Peroxide-Induced Oxidation of Fibrinogen on its Thermal Denaturation. RUSSIAN JOURNAL OF PHYSICAL CHEMISTRY B 2022. [DOI: 10.1134/s1990793121060105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Abstract
Temperature is an important factor in the process of life, as thermal energy transfer participates in all biological events in organisms. Due to technical limitations, there is still a lot more information to be explored regarding the correlation between life activities and temperature changes. In recent years, the emergence of a variety of new temperature measurement methods has facilitated further research in this field. Here, we introduce the latest advances in temperature sensors for biological detection and their related applications in metabolic research. Various technologies are discussed in terms of their advantages and shortcomings, and future prospects are presented.
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Affiliation(s)
- Fangxu Wang
- State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yuexia Han
- State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Ning Gu
- State Key Laboratory of Bioelectronics, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
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Hermoso-Durán S, García-Rayado G, Ceballos-Laita L, Sostres C, Vega S, Millastre J, Sánchez-Gracia O, Ojeda JL, Lanas Á, Velázquez-Campoy A, Abian O. Thermal Liquid Biopsy (TLB) Focused on Benign and Premalignant Pancreatic Cyst Diagnosis. J Pers Med 2020; 11:jpm11010025. [PMID: 33396529 PMCID: PMC7823923 DOI: 10.3390/jpm11010025] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 12/28/2020] [Accepted: 12/29/2020] [Indexed: 02/06/2023] Open
Abstract
Background: Current efforts in the identification of new biomarkers are directed towards an accurate differentiation between benign and premalignant cysts. Thermal Liquid Biopsy (TLB) has been previously applied to inflammatory and tumor diseases and could offer an interesting point of view in this type of pathology. Methods: In this work, twenty patients (12 males and 8 females, average ages 62) diagnosed with a pancreatic cyst benign (10) and premalignant (10) cyst lesions were recruited, and biological samples were obtained during the endoscopic ultrasonography procedure. Results: Proteomic content of cyst liquid samples was studied and several common proteins in the different groups were identified. TLB cyst liquid profiles reflected protein content. Also, TLB serum score was able to discriminate between healthy and cysts patients (71% sensitivity and 98% specificity) and between benign and premalignant cysts (75% sensitivity and 67% specificity). Conclusions: TLB analysis of plasmatic serum sample, a quick, simple and non-invasive technique that can be easily implemented, reports valuable information on the observed pancreatic lesion. These preliminary results set the basis for a larger study to refine TLB serum score and move closer to the clinical application of TLB providing useful information to the gastroenterologist during patient diagnosis.
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Affiliation(s)
- Sonia Hermoso-Durán
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain; (S.H.-D.); (G.G.-R.); (L.C.-L.); (C.S.); (J.M.); (Á.L.)
- Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Institute of Biocomputation and Physics of Complex Systems (BIFI), Universidad de Zaragoza, 50018 Zaragoza, Spain;
| | - Guillermo García-Rayado
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain; (S.H.-D.); (G.G.-R.); (L.C.-L.); (C.S.); (J.M.); (Á.L.)
- Servicio de Digestivo, Hospital Clínico Universitario Lozano Blesa (HCULB), 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red en el Área Temática de Enfermedades Hepáticas y Digestivas (CIBERehd), 28029 Madrid, Spain
| | - Laura Ceballos-Laita
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain; (S.H.-D.); (G.G.-R.); (L.C.-L.); (C.S.); (J.M.); (Á.L.)
- Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Institute of Biocomputation and Physics of Complex Systems (BIFI), Universidad de Zaragoza, 50018 Zaragoza, Spain;
| | - Carlos Sostres
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain; (S.H.-D.); (G.G.-R.); (L.C.-L.); (C.S.); (J.M.); (Á.L.)
- Servicio de Digestivo, Hospital Clínico Universitario Lozano Blesa (HCULB), 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red en el Área Temática de Enfermedades Hepáticas y Digestivas (CIBERehd), 28029 Madrid, Spain
| | - Sonia Vega
- Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Institute of Biocomputation and Physics of Complex Systems (BIFI), Universidad de Zaragoza, 50018 Zaragoza, Spain;
| | - Judith Millastre
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain; (S.H.-D.); (G.G.-R.); (L.C.-L.); (C.S.); (J.M.); (Á.L.)
- Servicio de Digestivo, Hospital Clínico Universitario Lozano Blesa (HCULB), 50009 Zaragoza, Spain
| | | | - Jorge L. Ojeda
- Department of Statistical Methods, Universidad de Zaragoza, 50009 Zaragoza, Spain;
| | - Ángel Lanas
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain; (S.H.-D.); (G.G.-R.); (L.C.-L.); (C.S.); (J.M.); (Á.L.)
- Servicio de Digestivo, Hospital Clínico Universitario Lozano Blesa (HCULB), 50009 Zaragoza, Spain
- Centro de Investigación Biomédica en Red en el Área Temática de Enfermedades Hepáticas y Digestivas (CIBERehd), 28029 Madrid, Spain
- Department of Medicine, University of Zaragoza, 50009 Zaragoza, Spain
| | - Adrián Velázquez-Campoy
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain; (S.H.-D.); (G.G.-R.); (L.C.-L.); (C.S.); (J.M.); (Á.L.)
- Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Institute of Biocomputation and Physics of Complex Systems (BIFI), Universidad de Zaragoza, 50018 Zaragoza, Spain;
- Centro de Investigación Biomédica en Red en el Área Temática de Enfermedades Hepáticas y Digestivas (CIBERehd), 28029 Madrid, Spain
- Fundación ARAID, Gobierno de Aragón, 50009 Zaragoza, Spain
- Departamento de Bioquímica y Biología Molecular y Celular, Universidad de Zaragoza, 50009 Zaragoza, Spain
- Correspondence: (A.V.-C.); (O.A.); Tel.: +34-976-762996 (A.V.-C.); +34-876-555417 (O.A.)
| | - Olga Abian
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), 50009 Zaragoza, Spain; (S.H.-D.); (G.G.-R.); (L.C.-L.); (C.S.); (J.M.); (Á.L.)
- Joint Units IQFR-CSIC-BIFI, and GBsC-CSIC-BIFI, Institute of Biocomputation and Physics of Complex Systems (BIFI), Universidad de Zaragoza, 50018 Zaragoza, Spain;
- Centro de Investigación Biomédica en Red en el Área Temática de Enfermedades Hepáticas y Digestivas (CIBERehd), 28029 Madrid, Spain
- Fundación ARAID, Gobierno de Aragón, 50009 Zaragoza, Spain
- Instituto Aragonés de Ciencias de la Salud (IACS), 50009 Zaragoza, Spain
- Correspondence: (A.V.-C.); (O.A.); Tel.: +34-976-762996 (A.V.-C.); +34-876-555417 (O.A.)
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