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Gvazava N, Konings SC, Cepeda-Prado E, Skoryk V, Umeano CH, Dong J, Silva IAN, Ottosson DR, Leigh ND, Wagner DE, Klementieva O. Label-Free
High-Resolution Photothermal Optical Infrared
Spectroscopy for Spatiotemporal Chemical Analysis in Fresh, Hydrated
Living Tissues and Embryos. J Am Chem Soc 2023; 145. [PMCID: PMC10655180 DOI: 10.1021/jacs.3c08854] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/11/2023] [Accepted: 10/11/2023] [Indexed: 06/24/2024]
Abstract
Label-free chemical imaging of living and functioning systems is the holy grail of biochemical research. However, existing techniques often require extensive sample preparation to remove interfering molecules such as water, rendering many molecular imaging techniques unsuitable for in situ structural studies. Here, we examined freshly extracted tissue biopsies and living small vertebrates at submicrometer resolution using optical photothermal infrared (O-PTIR) microspectroscopy and demonstrated the following major advances: (1) O-PTIR can be used for submicrometer structural analysis of unprocessed, fully hydrated tissue biopsies extracted from diverse organs, including living brain and lung tissues. (2) O-PTIR imaging can be performed on living organisms, such as salamander embryos, without compromising their further development. (3) Using O-PTIR, we tracked the structural changes of amyloids in functioning brain tissues over time, observing the appearance of newly formed amyloids for the first time. (4) Amyloid structures appeared altered following standard fixation and dehydration procedures. Thus, we demonstrate that O-PTIR enables time-resolved submicrometer in situ investigation of chemical and structural changes in diverse biomolecules in their native conditions, representing a technological breakthrough for in situ molecular imaging of biological samples.
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Affiliation(s)
- Nika Gvazava
- Department
of Experimental Medical Science, Lund University, 22180 Lund, Sweden
- NanoLund, Lund University, 22180 Lund, Sweden
- Lund
Stem Cell Center, Lund University, 22100 Lund, Sweden
- Wallenberg
Centre for Molecular Medicine, Lund University, 22184 Lund, Sweden
| | - Sabine C. Konings
- Department
of Experimental Medical Science, Lund University, 22180 Lund, Sweden
- MultiPark, Lund University, 22180 Lund, Sweden
- NanoLund, Lund University, 22180 Lund, Sweden
| | - Efrain Cepeda-Prado
- Department
of Experimental Medical Science, Lund University, 22180 Lund, Sweden
- MultiPark, Lund University, 22180 Lund, Sweden
- Lund
Stem Cell Center, Lund University, 22100 Lund, Sweden
| | - Valeriia Skoryk
- Department
of Experimental Medical Science, Lund University, 22180 Lund, Sweden
- MultiPark, Lund University, 22180 Lund, Sweden
- NanoLund, Lund University, 22180 Lund, Sweden
| | - Chimezie H. Umeano
- Department
of Laboratory Medicine, Molecular Medicine
and Gene Therapy, 22184 Lund, Sweden
- Lund
Stem Cell Center, Lund University, 22100 Lund, Sweden
- Wallenberg
Centre for Molecular Medicine, Lund University, 22184 Lund, Sweden
| | - Jiao Dong
- NanoLund, Lund University, 22180 Lund, Sweden
- Lund
Stem Cell Center, Lund University, 22100 Lund, Sweden
- Wallenberg
Centre for Molecular Medicine, Lund University, 22184 Lund, Sweden
| | - Iran A. N. Silva
- NanoLund, Lund University, 22180 Lund, Sweden
- Lund
Stem Cell Center, Lund University, 22100 Lund, Sweden
- Wallenberg
Centre for Molecular Medicine, Lund University, 22184 Lund, Sweden
| | - Daniella Rylander Ottosson
- Department
of Experimental Medical Science, Lund University, 22180 Lund, Sweden
- MultiPark, Lund University, 22180 Lund, Sweden
- Lund
Stem Cell Center, Lund University, 22100 Lund, Sweden
| | - Nicholas D. Leigh
- Department
of Laboratory Medicine, Molecular Medicine
and Gene Therapy, 22184 Lund, Sweden
- Lund
Stem Cell Center, Lund University, 22100 Lund, Sweden
- Wallenberg
Centre for Molecular Medicine, Lund University, 22184 Lund, Sweden
| | - Darcy Elizabeth Wagner
- Department
of Experimental Medical Science, Lund University, 22180 Lund, Sweden
- NanoLund, Lund University, 22180 Lund, Sweden
- Lund
Stem Cell Center, Lund University, 22100 Lund, Sweden
- Wallenberg
Centre for Molecular Medicine, Lund University, 22184 Lund, Sweden
| | - Oxana Klementieva
- Department
of Experimental Medical Science, Lund University, 22180 Lund, Sweden
- MultiPark, Lund University, 22180 Lund, Sweden
- NanoLund, Lund University, 22180 Lund, Sweden
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2
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Mid-Infrared Spectroscopy as a New Tool for Ruling Out Spontaneous Bacterial Peritonitis: A Proof-of-Concept Study. Biomedicines 2023; 11:biomedicines11030838. [PMID: 36979817 PMCID: PMC10045833 DOI: 10.3390/biomedicines11030838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 03/01/2023] [Accepted: 03/06/2023] [Indexed: 03/12/2023] Open
Abstract
Background and aims: A highly sensitive and specific point-of-care method for diagnosing spontaneous bacterial peritonitis (SBP) is currently lacking. The objective of the present study is to evaluate the diagnostic value of a rapid, easy-to-use, mid-infrared fiber evanescent wave spectroscopy (MIR-FEWS) method for ruling out SBP. Patients and Methods: Cirrhotic patients (n = 256) at five centers in France were included for suspected SBP or for the scheduled evacuation of ascites fluid. The mid-infrared spectrum of 7 µL of an ascites fluid sample was recorded using a MIR-FEWS system. To define a model for the diagnosis of SBP, the patients were divided into a calibration group (n = 170) and a validation group (n = 86). Results: Most of the patients were male (71%). The mean age was 60.25 years. Alcohol-related liver disease was the most common cause of cirrhosis. SBP was observed in 18% of the patients. For the diagnosis of SBP in the calibration and validation groups, respectively, the model gave areas under the receiver operating characteristic curves of 0.87 and 0.89, sensitivities of 90% and 87%, specificities of 78% and 80%, positive predictive values of 48% and 50%, negative predictive values of 97% and 96%, positive likelihood ratio of 4.09 and 4.35, negative likelihood ratio of 0.13 and 0.16, Youden index of 0.68 and 0.67, and correct classification rates of 80% and 81%. Conclusion: The results of this proof-of-concept study show that MIR-FEWS is a highly sensitive diagnostic method for ruling out SBP. The method warrants further investigation.
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Prada P, Brunel B, Moulin D, Rouillon L, Netter P, Loeuille D, Slimano F, Bouche O, Peyrin-Biroulet L, Jouzeau JY, Piot O. Identification of circulating biomarkers of Crohn's disease and spondyloarthritis using Fourier transform infrared spectroscopy. JOURNAL OF BIOPHOTONICS 2023; 16:e202200200. [PMID: 36112612 DOI: 10.1002/jbio.202200200] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/14/2022] [Accepted: 09/15/2022] [Indexed: 06/15/2023]
Abstract
Crohn's disease (CD) and spondyloarthritis (SpA) are two inflammatory diseases sharing many common features (genetic polymorphism, armamentarium). Both diseases lack diagnostic markers of certainty. While the diagnosis of CD is made by a combination of clinical, and biological criteria, the diagnosis of SpA may take several years to be confirmed. Based on the hypothesis that CD and SpA alter the biochemical profile of plasma, the objective of this study was to evaluate the analytical capability of Fourier transform infrared spectroscopy (FTIR) in identifying spectral biomarkers. Plasma from 104 patients was analyzed. After data processing of the spectra by Extended Multiplicative Signal Correction and linear discriminant analysis, we demonstrated that it was possible to distinguish CD and SpA from controls with an accuracy of 97% and 85% respectively. Spectral differences were mainly associated with proteins and lipids. This study showed that FTIR analysis is efficient to identify plasma biosignatures specific to CD or SpA.
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Affiliation(s)
- Pierre Prada
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Benjamin Brunel
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
- FEMTO-ST Institute, CNRS UMR-6174, Université de Bourgogne Franche-Comté, Besançon, France
| | - David Moulin
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Lise Rouillon
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Patrick Netter
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Damien Loeuille
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Florian Slimano
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Olivier Bouche
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
| | - Laurent Peyrin-Biroulet
- Département de Gastroentérologie, Hôpital Universitaire de Nancy-Brabois, Vandœuvre-lès-Nancy, France
| | - Jean-Yves Jouzeau
- Ingénierie Moléculaire et Ingénierie Articulaire (IMoPA), UMR-7365 CNRS, Faculté de Médecine, Université de Lorraine et Hôpital Universitaire de Nancy, Nancy, France
| | - Olivier Piot
- EA7506-BioSpectroscopie Translationnelle (BioSpecT), Université de Reims Champagne-Ardenne, Reims, France
- Plateforme d'Imagerie Cellulaire ou Tissulaire (PICT), Université de Reims Champagne-Ardenne, Reims, France
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4
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Van Belkum A, Gros MF, Ferry T, Lustig S, Laurent F, Durand G, Jay C, Rochas O, Ginocchio CC. Novel strategies to diagnose prosthetic or native bone and joint infections. Expert Rev Anti Infect Ther 2021; 20:391-405. [PMID: 34384319 DOI: 10.1080/14787210.2021.1967745] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Bone and Joint Infections (BJI) are medically important, costly and occur in native and prosthetic joints. Arthroplasties will increase significantly in absolute numbers over time as well as the incidence of Prosthetic Joint Infections (PJI). Diagnosis of BJI and PJI is sub-optimal. The available diagnostic tests have variable effectiveness, are often below standard in sensitivity and/or specificity, and carry significant contamination risks during the collection of clinical samples. Improvement of diagnostics is urgently needed. AREAS COVERED We provide a narrative review on current and future diagnostic microbiology technologies. Pathogen identification, antibiotic resistance detection, and assessment of the epidemiology of infections via bacterial typing are considered useful for improved patient management. We confirm the continuing importance of culture methods and successful introduction of molecular, mass spectrometry-mediated and next-generation genome sequencing technologies. The diagnostic algorithms for BJI must be better defined, especially in the context of diversity of both disease phenotypes and clinical specimens rendered available. EXPERT OPINION Whether interventions in BJI or PJI are surgical or chemo-therapeutic (antibiotics and bacteriophages included), prior sensitive and specific pathogen detection remains a therapy-substantiating necessity. Innovative tests for earlier and more sensitive and specific detection of bacterial pathogens in BJI are urgently needed.
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Affiliation(s)
- Alex Van Belkum
- bioMérieux, Open Innovation and Partnerships, 3 Route De Port Michaud, La Balme Les Grottes, France
| | | | - Tristan Ferry
- Service Des Maladies Infectieuses Et Tropicales, Hospices Civils De Lyon, Hôpital De La Croix-Rousse, Lyon, France.,Maladies Infectieuses, Université Claude Bernard Lyon 1, Villeurbanne, France.,Centre Interrégional De Référence Pour La Prise En Charge Des Infections Ostéo-articulaires Complexes (Crioac Lyon), Hôpital De La Croix-Rousse, Lyon, France.,Ciri - Centre International De Recherche En Infectiologie, Inserm, U1111, Université́ Claude Bernard Lyon 1CNRS, UMR5308, Ecole Normale Supérieure De Lyon, Univ Lyon, Lyon, France
| | - Sebastien Lustig
- Maladies Infectieuses, Université Claude Bernard Lyon 1, Villeurbanne, France.,Service De Chirurgie Orthopédique, Hôpital De La Croix-Rousse, Lyon, France
| | - Frédéric Laurent
- Service Des Maladies Infectieuses Et Tropicales, Hospices Civils De Lyon, Hôpital De La Croix-Rousse, Lyon, France.,Ciri - Centre International De Recherche En Infectiologie, Inserm, U1111, Université́ Claude Bernard Lyon 1CNRS, UMR5308, Ecole Normale Supérieure De Lyon, Univ Lyon, Lyon, France
| | | | - Corinne Jay
- bioMérieux, BioFire Development Emea, Grenoble, France
| | - Olivier Rochas
- Corporate Business Development, bioMérieux, Marcy-l'Étoile, France
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5
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Coiffier G, Berthoud O, Albert JD, Robin F, Goussault C, Gougeon-Jolivet A, Bendavid C, Guggenbuhl P. Elaboration of a new synovial predictive score of septic origin for acute arthritis on the native joint (RESAS). Rheumatology (Oxford) 2021; 60:2238-2245. [PMID: 33197255 DOI: 10.1093/rheumatology/keaa567] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 07/21/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE To establish a new predictive score for the diagnosis of septic arthritis (SA) according to different synovial fluid (SF) variables. METHODS First, we analysed the different clinical, biological and SF variables associated with the diagnosis of SA (according to the Newman's criteria) in a monocentric cohort of acute arthritis (<30 days) (n = 233) (SYNOLACTATE cohort). A new score predictive of SA (RESAS) was created using the independent discriminant variables after multivariate analysis. A value was attributed to each variable of the score according to the weighting based on their likelihood ratio for the diagnosis of SA. RESAS performance was then tested on the first cohort (internal validation) and then checked on a second independent cohort (n = 70) (external validation). RESULTS After multivariate analysis, four independent variables of the SF were included for RESAS: (i) purulent SF or white blood cells count ≥70 000/mm3; (ii) absence/presence of crystals; (iii) lactate; and (iv) glucose synovial level. RESAS ranged between -4 and +13 points. The performance of RESAS to predicted SA was excellent with area under the curve (AUC)=0.928 (0.877-0.980) in internal validation and AUC=0.986 (0.962-1.00) in external validation. For a RESAS threshold ≥+4, SA was diagnosed with Se=56.0% (0.371-0.733), Sp=98.1% (0.952-0.993), LR+=29.1 (10.4-81.6) in the first cohort and with Se=91.7% (0.646-0.985), Sp=98.3% (0.909-0.997), LR+=53.2 (7.56-373) in the second cohort. CONCLUSION RESAS is a new composite score of four SF variables with excellent performance to predicted SA in acute arthritis population.
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Affiliation(s)
| | | | | | - François Robin
- Rheumatology Department, CHU Rennes.,U1241, CIMIAD Unit, INSERM
| | | | | | - Claude Bendavid
- U1241, CIMIAD Unit, INSERM.,Biochemistry Department, CHU Rennes, University of Rennes 1, Rennes, France
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6
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Albert JD, Le Corvec M, Berthoud O, David C, Guennoc X, Hoppe E, Jousse-Joulin S, Le Goff B, Tariel H, Sire O, Jolivet-Gougeon A, Coiffier G, Loréal O. Ruling out septic arthritis risk in a few minutes using mid-infrared spectroscopy in synovial fluids. Rheumatology (Oxford) 2021; 60:1158-1165. [PMID: 32885254 DOI: 10.1093/rheumatology/keaa373] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 05/19/2020] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVES The aim of this study was to show the usefulness of a mid-infrared fibre evanescent wave spectroscopy point of care device in the identification of septic arthritis patients in a multicentre cohort, and to apply this technology to clinical practice among physicians. METHODS SF samples from 402 patients enrolled in a multicentre cohort were frozen for analysis by mid-infrared fibre evanescent wave spectroscopy. The calibration cohort was divided into two groups of patients (septic arthritis and non-septic arthritis) and relevant spectral variables were used for logistic regression model. Model performances were tested on an independent set of 86 freshly obtained SF samples from patients enrolled in a single-centre acute arthritis cohort and spectroscopic analyses performed at the patient's bedside. RESULTS The model set-up, using frozen-thawed SFs, provided good performances, with area under the curve 0.95, sensitivity 0.90, specificity 0.90, positive predictive value 0.41 and negative predictive value 0.99. Performances obtained in the validation cohort were area under the curve 0.90, sensitivity 0.92, specificity 0.81, positive predictive value 0.46 and negative predictive value 0.98. The septic arthritis probability has been translated into a risk score from 0 to 4 according to septic risk. For a risk score of 0, the probability of identifying a septic patient is very low (negative predictive value of 1), whereas a risk score of 4 indicates very high risk of septic arthritis (positive predictive value of 1). CONCLUSION Mid-infrared fibre evanescent wave spectroscopy could distinguish septic from non-septic synovial arthritis fluids with good performances, and showed particular usefulness in ruling out septic arthritis. Our data supports the possibility of technology transfer. TRIAL REGISTRATION ClinicalTrials.gov, http://clinicaltrials.gov, NCT02860871.
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Affiliation(s)
- Jean-David Albert
- Rheumatology Department, Centre Hospitalier Universitaire de Rennes, Rennes, France.,INSERM, Université de Rennes, INRAe, UMR 1241, Institut NUMECAN CHU Rennes, Rennes, France
| | | | - Olivia Berthoud
- Rheumatology Department, Centre Hospitalier Universitaire de Rennes, Rennes, France
| | - Claire David
- Rheumatology Department, Centre Hospitalier de Bretagne Atlantique, Vannes, France
| | - Xavier Guennoc
- Rheumatology Department, Centre Hospitalier St-Brieuc, St-brieuc, France
| | - Emmanuel Hoppe
- Rheumatology Department, Centre Hospitalier Universitaire Angers, Angers, France
| | - Sandrine Jousse-Joulin
- Rheumatology Department, Centre Hospitalier Universitaire and Inserm, LBAI, UMR1227, Brest, France
| | - Benoît Le Goff
- Rheumatology Department, Centre Hospitalier Universitaire de Nantes, Nantes, France
| | | | | | - Anne Jolivet-Gougeon
- INSERM, Université de Rennes, INRAe, UMR 1241, Institut NUMECAN CHU Rennes, Rennes, France
| | - Guillaume Coiffier
- Rheumatology Department, Centre Hospitalier Universitaire de Rennes, Rennes, France.,INSERM, Université de Rennes, INRAe, UMR 1241, Institut NUMECAN CHU Rennes, Rennes, France
| | - Olivier Loréal
- INSERM, Université de Rennes, INRAe, UMR 1241, Institut NUMECAN CHU Rennes, Rennes, France
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7
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Carpenter CR, Vandenberg J, Solomon M, McAndrew C, Lane MA, Burnham CA, Scott M, Farnsworth C. Diagnostic Accuracy of Synovial Lactate, Polymerase Chain Reaction, or Clinical Examination for Suspected Adult Septic Arthritis. J Emerg Med 2020; 59:339-347. [PMID: 32819785 DOI: 10.1016/j.jemermed.2020.06.068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 06/12/2020] [Accepted: 06/20/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Adult septic arthritis can be challenging to differentiate from other causes of acute joint pain. The diagnostic accuracy of synovial lactate and polymerase chain reaction (PCR) remains uncertain. OBJECTIVE Our aim was to quantify the diagnostic accuracy of synovial lactate, PCR, and clinical evaluation for adults with possible septic arthritis in the emergency department (ED). METHODS We report a prospective sampling of ED patients aged ≥ 18 years with knee symptoms concerning for septic arthritis. Clinicians and research assistants independently performed history and physical examination. Serum and synovial laboratory testing was ordered at the discretion of the clinician. We analyzed frozen synovial fluid specimens for l- and d-lactate and PCR. The criterion standard for septic arthritis was bacterial growth on synovial culture and treated by consultants with operative drainage, prolonged antibiotics, or both. Diagnostic accuracy measures included sensitivity, specificity, likelihood ratios, interval likelihood ratios, and receiver operating characteristic area under the curve. RESULTS Seventy-one patients were included with septic arthritis prevalence of 7%. No finding on history or physical examination accurately ruled in or ruled out septic arthritis. Synovial l- and d-lactate and PCR were inaccurate for the diagnosis of septic arthritis. Synovial white blood cell count and synovial Gram stain most accurately rule in and rule out septic arthritis. CONCLUSIONS Septic arthritis prevalence in ED adults is lower than reported previously. History and physical examination, synovial lactate, and PCR are inadequate for the diagnosis of septic arthritis. Synovial white blood cell count and Gram stain are the most accurate tests available for septic arthritis.
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Affiliation(s)
- Christopher R Carpenter
- Department of Emergency Medicine, Washington University in St. Louis School of Medicine, Emergency Care Research Core, St. Louis, Missouri
| | - James Vandenberg
- Department of Emergency Medicine, Wayne State University School of Medicine, Detroit, Michigan
| | - Mary Solomon
- Department of Obstetrics and Gynecology, Oregon Health Sciences University, Portland, Oregon
| | - Christopher McAndrew
- Department of Orthopedic Surgery, Washington University in St Louis School of Medicine, St. Louis, Missouri
| | - Michael A Lane
- Division of Infectious Disease, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, Missouri; BJC Healthcare, St. Louis, Missouri
| | - Carey-Ann Burnham
- Department of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Mitchell Scott
- Department of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri
| | - Christopher Farnsworth
- Department of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri
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8
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Ari J, Starecki F, Boussard-Plédel C, Ledemi Y, Messaddeq Y, Doualan JL, Braud A, Bureau B, Nazabal V. Co-doped Dy 3+ and Pr 3+ Ga 5Ge 20Sb 10S 65 fibers for mid-infrared broad emission. OPTICS LETTERS 2018; 43:2893-2896. [PMID: 29905717 DOI: 10.1364/ol.43.002893] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 05/10/2018] [Indexed: 06/08/2023]
Abstract
Rare earth ion doped materials are means to obtain cost-effective infrared light sources, with enough brilliance for applications such as gas sensing. Within a sulfide matrix, the simultaneous luminescence of both Pr3+ and Dy3+ in the Ga5Ge20Sb10S65 glass is reported. The use of these two rare earths is giving rise to a broad continuous luminescence in the 2.2-5.5 µm wavelength range, which could be used as a mid-infrared light source for gas-sensing applications. The demonstration of CO2 and CH4 detection using a fiber drawn from these materials is reported.
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9
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Liu M, Zhao J, Lu X, Li G, Wu T, Zhang L. Blood hyperviscosity identification with reflective spectroscopy of tongue tip based on principal component analysis combining artificial neural network. Biomed Eng Online 2018; 17:60. [PMID: 29747693 PMCID: PMC5946417 DOI: 10.1186/s12938-018-0495-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Accepted: 05/04/2018] [Indexed: 11/10/2022] Open
Abstract
Background With spectral methods, noninvasive determination of blood hyperviscosity in vivo is very potential and meaningful in clinical diagnosis. In this study, 67 male subjects (41 health, and 26 hyperviscosity according to blood sample analysis results) participate. Methods Reflectance spectra of subjects’ tongue tips is measured, and a classification method bases on principal component analysis combined with artificial neural network model is built to identify hyperviscosity. Hold-out and Leave-one-out methods are used to avoid significant bias and lessen overfitting problem, which are widely accepted in the model validation. Results To measure the performance of the classification, sensitivity, specificity, accuracy and F-measure are calculated, respectively. The accuracies with 100 times Hold-out method and 67 times Leave-one-out method are 88.05% and 97.01%, respectively. Conclusions Experimental results indicate that the built classification model has certain practical value and proves the feasibility of using spectroscopy to identify hyperviscosity by noninvasive determination.
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Affiliation(s)
- Ming Liu
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300192, China
| | - Jing Zhao
- Institute of Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China.
| | - XiaoZuo Lu
- Institute of Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 300193, China
| | - Gang Li
- State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin, 300072, China
| | - Taixia Wu
- Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China
| | - LiFu Zhang
- Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China
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10
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Le Corvec M, Jezequel C, Monbet V, Fatih N, Charpentier F, Tariel H, Boussard-Plédel C, Bureau B, Loréal O, Sire O, Bardou-Jacquet E. Mid-infrared spectroscopy of serum, a promising non-invasive method to assess prognosis in patients with ascites and cirrhosis. PLoS One 2017; 12:e0185997. [PMID: 29020046 PMCID: PMC5636102 DOI: 10.1371/journal.pone.0185997] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 09/22/2017] [Indexed: 12/14/2022] Open
Abstract
Background & aims Prognostic tests are critical in the management of patients with cirrhosis and ascites. Biological tests or scores perform poorly in that situation. Mid-infrared fibre evanescent wave spectroscopy (MIR-FEWS) which allows for global serum metabolic profiling may provide more relevant information by measuring a wider range of metabolic parameters in serum. Here we present the accuracy of a MIR-FEWS based predictive model for the prognosis of 6 months survival in patients with ascites and cirrhosis. Methods Patients with ascites were prospectively included and followed up for 6 months. MIR-FEWS spectra were measured in serum samples. The most informative spectral variables obtained by MIR-FEWS were selected by FADA algorithm and then used to build the MIR model. Accuracy of this model was assessed by ROC curves and 90%/10% Monte Carlo cross-validation. MIR model accuracy for 6 months survival was compared to that of the Child-Pugh and MELD scores. Results 119 patients were included. The mean age was 57.36±13.70, the MELD score was 16.32±6.26, and the Child-Pugh score was 9.5±1.83. During follow-up, 23 patients died (20%). The MIR model had an AUROC for 6 months mortality of 0.90 (CI95: 0.88–0.91), the MELD 0.77 (CI95: 0.66–0.89) and Child-Pugh 0.76 (CI95: 0.66–0.88). MELD and Child-Pugh AUROCs were significantly lower than that of the MIR model (p = 0.02 and p = 0.02 respectively). Multivariate logistic regression analysis showed that MELD (p<0.05, OR:0.86;CI95:0.76–0.97), Beta blockers (p = 0.036;OR:0.20;CI95:0.04–0.90), and the MIR model (p<0.001; OR:0.50; CI95:0.37–0.66), were significantly associated with 6 months mortality. Conclusions In this pilot study MIR-FEWS more accurately assess the 6-month prognosis of patients with ascites and cirrhosis than the MELD or Child-Pugh scores. These promising results, if confirmed by a larger study, suggest that mid infrared spectroscopy could be helpful in the management of these patients.
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Affiliation(s)
- Maëna Le Corvec
- University Bretagne Sud, IRDL, FRE CNRS 3744, Vannes, France
- DIAFIR, Rennes, France
| | - Caroline Jezequel
- CHU Rennes, Liver disease unit, Rennes, France
- Equipe Verres et Céramiques, UMR CNRS 6226 Institut des Sciences Chimiques de Rennes, University of Rennes 1, Rennes, France
| | - Valérie Monbet
- IRMAR Mathematics Research Institute of Rennes, UMR-CNRS 6625, Rennes, France
- INRIA/ASPI, Rennes, France
| | | | | | | | - Catherine Boussard-Plédel
- Equipe Verres et Céramiques, UMR CNRS 6226 Institut des Sciences Chimiques de Rennes, University of Rennes 1, Rennes, France
| | - Bruno Bureau
- Equipe Verres et Céramiques, UMR CNRS 6226 Institut des Sciences Chimiques de Rennes, University of Rennes 1, Rennes, France
| | - Olivier Loréal
- University of Rennes 1, Rennes, France
- INSERM U 1241, INRA1341, Institut NuMeCan, University of Rennes1, Rennes, France
| | - Olivier Sire
- University Bretagne Sud, IRDL, FRE CNRS 3744, Vannes, France
| | - Edouard Bardou-Jacquet
- IRMAR Mathematics Research Institute of Rennes, UMR-CNRS 6625, Rennes, France
- University of Rennes 1, Rennes, France
- INSERM U 1241, INRA1341, Institut NuMeCan, University of Rennes1, Rennes, France
- * E-mail:
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Ferreyra M, Coiffier G, Albert JD, David C, Perdriger A, Guggenbuhl P. Combining cytology and microcrystal detection in nonpurulent joint fluid benefits the diagnosis of septic arthritis. Joint Bone Spine 2017; 84:65-70. [DOI: 10.1016/j.jbspin.2016.04.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/07/2016] [Indexed: 12/23/2022]
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12
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Le Corvec M, Boussard-Plédel C, Charpentier F, Fatih N, Le Dare B, Massart F, Rojas F, Tariel H, Loréal O, Bureau B, Boustie J, Sire O, LohézicLe Dévéhat F. Chemotaxonomic discrimination of lichen species using an infrared chalcogenide fibre optic sensor: a useful tool for on-field biosourcing. RSC Adv 2016. [DOI: 10.1039/c6ra17140k] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Spectral analysis of lichen extracts obtained by MIR-FEWS permits to discriminate species and the identification of their major compounds. MIR-FEWS is a rapid, efficient and convenient tool for metabolic profiling.
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