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Kim KR, Kang TW, Kim H, Lee YJ, Lee SH, Yi H, Kim HS, Kim H, Min J, Ready J, Millard-Stafford M, Yeo WH. All-in-One, Wireless, Multi-Sensor Integrated Athlete Health Monitor for Real-Time Continuous Detection of Dehydration and Physiological Stress. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2403238. [PMID: 38950170 PMCID: PMC11434103 DOI: 10.1002/advs.202403238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 06/03/2024] [Indexed: 07/03/2024]
Abstract
Athletes are at high risk of dehydration, fatigue, and cardiac disorders due to extreme performance in often harsh environments. Despite advancements in sports training protocols, there is an urgent need for a non-invasive system capable of comprehensive health monitoring. Although a few existing wearables measure athlete's performance, they are limited by a single function, rigidity, bulkiness, and required straps and adhesives. Here, an all-in-one, multi-sensor integrated wearable system utilizing a set of nanomembrane soft sensors and electronics, enabling wireless, real-time, continuous monitoring of saliva osmolality, skin temperature, and heart functions is introduced. This system, using a soft patch and a sensor-integrated mouthguard, provides comprehensive monitoring of an athlete's hydration and physiological stress levels. A validation study in detecting real-time physiological levels shows the device's performance in capturing moments (400-500 s) of synchronized acute elevation in dehydration (350%) and physiological strain (175%) during field training sessions. Demonstration with a few human subjects highlights the system's capability to detect early signs of health abnormality, thus improving the healthcare of sports athletes.
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Affiliation(s)
- Ka Ram Kim
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Tae Woog Kang
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Hodam Kim
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Yoon Jae Lee
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Sung Hoon Lee
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Hoon Yi
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Hyeon Seok Kim
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Hojoong Kim
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Jihee Min
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Department of Biology, College of Arts and Sciences, Emory University, Atlanta, GA, 30322, USA
| | - Jud Ready
- Electro-Optical Systems Laboratory, Georgia Tech Research Institute, Atlanta, GA, 30332, USA
| | | | - Woon-Hong Yeo
- George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Wearable Intelligent Systems and Healthcare Center (WISH Center), Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech and Emory University School of Medicine, Atlanta, GA, 30332, USA
- Parker H. Petit Institute for Bioengineering and Biosciences, Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, 30332, USA
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2
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Vaysse PM, Demers I, van den Hout MFCM, van de Worp W, Anthony IGM, Baijens LWJ, Tan BI, Lacko M, Vaassen LAA, van Mierlo A, Langen RCJ, Speel EJM, Heeren RMA, Porta Siegel T, Kremer B. Evaluation of the Sensitivity of Metabolic Profiling by Rapid Evaporative Ionization Mass Spectrometry: Toward More Radical Oral Cavity Cancer Resections. Anal Chem 2022; 94:6939-6947. [PMID: 35503862 PMCID: PMC9118195 DOI: 10.1021/acs.analchem.1c03583] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
Radical resection
for patients with oral cavity cancer remains
challenging. Rapid evaporative ionization mass spectrometry (REIMS)
of electrosurgical vapors has been reported for real-time classification
of normal and tumor tissues for numerous surgical applications. However,
the infiltrative pattern of invasion of oral squamous cell carcinomas
(OSCC) challenges the ability of REIMS to detect low amounts of tumor
cells. We evaluate REIMS sensitivity to determine the minimal amount
of detected tumors cells during oral cavity cancer surgery. A total
of 11 OSCC patients were included in this study. The tissue classification
based on 185 REIMS ex vivo metabolic profiles from
five patients was compared to histopathology classification using
multivariate analysis and leave-one-patient-out cross-validation.
Vapors were analyzed in vivo by REIMS during four
glossectomies. Complementary desorption electrospray ionization–mass
spectrometry imaging (DESI-MSI) was employed to map tissue heterogeneity
on six oral cavity sections to support REIMS findings. REIMS sensitivity
was assessed with a new cell-based assay consisting of mixtures of
cell lines (tumor, myoblasts, keratinocytes). Our results depict REIMS
classified tumor and soft tissues with 96.8% accuracy. In
vivo REIMS generated intense mass spectrometric signals.
REIMS detected 10% of tumor cells mixed with 90% myoblasts with 83%
sensitivity and 82% specificity. DESI-MSI underlined distinct metabolic
profiles of nerve features and a metabolic shift phosphatidylethanolamine
PE(O-16:1/18:2))/cholesterol sulfate common to both mucosal maturation
and OSCC differentiation. In conclusion, the assessment of tissue
heterogeneity with DESI-MSI and REIMS sensitivity with cell mixtures
characterized sensitive metabolic profiles toward in vivo tissue recognition during oral cavity cancer surgeries.
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Affiliation(s)
- Pierre-Maxence Vaysse
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.,Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,Department of Surgery, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Imke Demers
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,Department of Pathology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Mari F C M van den Hout
- Department of Pathology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Wouter van de Worp
- Department of Respiratory Medicine, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Ian G M Anthony
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Laura W J Baijens
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Bing I Tan
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Martin Lacko
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Lauretta A A Vaassen
- Department of Cranio-Maxillofacial Surgery, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Auke van Mierlo
- Department of Cranio-Maxillofacial Surgery, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Ramon C J Langen
- Department of Respiratory Medicine, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Ernst-Jan M Speel
- Department of Pathology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Tiffany Porta Siegel
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Bernd Kremer
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
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Delaby C, Alcolea D, Hirtz C, Vialaret J, Kindermans J, Morichon L, Fortea J, Belbin O, Gabelle A, Blennow K, Zetterberg H, Lleó A, Lehmann S. Blood amyloid and tau biomarkers as predictors of cerebrospinal fluid profiles. J Neural Transm (Vienna) 2022; 129:231-237. [PMID: 35169889 PMCID: PMC8866346 DOI: 10.1007/s00702-022-02474-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/05/2022] [Indexed: 11/25/2022]
Abstract
Introduction Blood biomarkers represent a major advance for improving the management, diagnosis, and monitoring of Alzheimer's disease (AD). However, their context of use in relation to routine cerebrospinal fluid (CSF) analysis for the quantification of amyloid peptides and tau proteins remains to be determined. Methods We studied in two independent cohorts, the performance of blood biomarkers in detecting “nonpathological” (A−/T−/N−), amyloid (A+) or neurodegenerative (T+ /N+) CSF profiles. Results Plasma Aβ1–42/Aβ1–40 ratio and phosphorylated tau (p-tau(181)) were independent and complementary predictors of the different CSF profile and in particular of the nonpathological (A−/T−/N−) profile with a sensitivity and specificity close to 85%. These performances and the corresponding biomarker thresholds were significantly different from those related to AD detection. Conclusion The use of blood biomarkers to identify patients who may benefit from secondary CSF testing represents an attractive stratification strategy in the clinical management of patients visiting memory clinics. This could reduce the need for lumbar puncture and foreshadow the use of blood testing on larger populations. Supplementary Information The online version contains supplementary material available at 10.1007/s00702-022-02474-9.
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Affiliation(s)
- Constance Delaby
- Laboratoire de Biochimie Protéomique Clinique (LBPC-PPC), Univ Montpellier, CHU Montpellier, INM INSERM, Hôpital St Eloi, IRMB 80 av A Fliche, 34295, Montpellier, France
- Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Daniel Alcolea
- Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Christophe Hirtz
- Laboratoire de Biochimie Protéomique Clinique (LBPC-PPC), Univ Montpellier, CHU Montpellier, INM INSERM, Hôpital St Eloi, IRMB 80 av A Fliche, 34295, Montpellier, France
| | - Jérôme Vialaret
- Laboratoire de Biochimie Protéomique Clinique (LBPC-PPC), Univ Montpellier, CHU Montpellier, INM INSERM, Hôpital St Eloi, IRMB 80 av A Fliche, 34295, Montpellier, France
| | - Jana Kindermans
- Laboratoire de Biochimie Protéomique Clinique (LBPC-PPC), Univ Montpellier, CHU Montpellier, INM INSERM, Hôpital St Eloi, IRMB 80 av A Fliche, 34295, Montpellier, France
| | - Lisa Morichon
- Laboratoire de Biochimie Protéomique Clinique (LBPC-PPC), Univ Montpellier, CHU Montpellier, INM INSERM, Hôpital St Eloi, IRMB 80 av A Fliche, 34295, Montpellier, France
| | - Juan Fortea
- Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Olivia Belbin
- Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Audrey Gabelle
- CMRR, Univ Montpellier, CHU Montpellier, INM INSERM, Montpellier, France
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Alberto Lleó
- Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sylvain Lehmann
- Laboratoire de Biochimie Protéomique Clinique (LBPC-PPC), Univ Montpellier, CHU Montpellier, INM INSERM, Hôpital St Eloi, IRMB 80 av A Fliche, 34295, Montpellier, France.
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4
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Jeong S, Kim U, Oh M, Nam J, Park S, Choi Y, Lee D, Kim J, An H. Detection of Aberrant Glycosylation of Serum Haptoglobin for Gastric Cancer Diagnosis Using a Middle-Up-Down Glycoproteome Platform. J Pers Med 2021; 11:575. [PMID: 34207451 PMCID: PMC8235735 DOI: 10.3390/jpm11060575] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 06/14/2021] [Accepted: 06/16/2021] [Indexed: 12/20/2022] Open
Abstract
Gastric cancer is a frequently occurring cancer and is the leading cause of cancer-related deaths. Recent studies have shown that aberrant glycosylation of serum haptoglobin is closely related to gastric cancer and has enormous potential for use in diagnosis. However, there is no platform with high reliability and high reproducibility to comprehensively analyze haptoglobin glycosylation covering microheterogeneity to macroheterogeneity for clinical applications. In this study, we developed a middle-up-down glycoproteome platform for fast and accurate monitoring of haptoglobin glycosylation. This platform utilizes an online purification of LC for sample desalting, and an in silico haptoglobin glycopeptide library constructed by combining peptides and N-glycans to readily identify glycopeptides. In addition, site-specific glycosylation with glycan heterogeneity can be obtained through only a single MS analysis. Haptoglobin glycosylation in clinical samples consisting of healthy controls (n = 47) and gastric cancer patients (n = 43) was extensively investigated using three groups of tryptic glycopeptides: GP1 (including Asn184), GP2 (including Asn207 and Asn211), and GP3 (including Asn241). A total of 23 individual glycopeptides were determined as potential biomarkers (p < 0.00001). In addition, to improve diagnostic efficacy, we derived representative group biomarkers with high AUC values (0.929 to 0.977) through logistic regression analysis for each GP group. It has been found that glycosylation of haptoglobin is highly associated with gastric cancer, especially the glycosite Asn241. Our assay not only allows to quickly and easily obtain information on glycosylation heterogeneity of a target glycoprotein but also makes it an efficient tool for biomarker discovery and clinical diagnosis.
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Affiliation(s)
- Seunghyup Jeong
- Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea; (S.J.); (M.O.); (J.N.)
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea
| | | | - Myungjin Oh
- Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea; (S.J.); (M.O.); (J.N.)
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea
| | - Jihyeon Nam
- Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea; (S.J.); (M.O.); (J.N.)
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea
| | - Sehoon Park
- Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea;
| | - Yoonjin Choi
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Korea;
| | - Dongho Lee
- Department of Internal Medicine for Gastroenterology, Seoul National University Bundang Hospital, Seongnam 13620, Korea;
| | - Jaehan Kim
- Department of Food and Nutrition, Chungnam National University, Daejeon 34134, Korea;
| | - Hyunjoo An
- Asia-Pacific Glycomics Reference Site, Chungnam National University, Daejeon 34134, Korea; (S.J.); (M.O.); (J.N.)
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Korea
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5
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Singh V, Rani R, Singla A. Preliminary algorithm for a personalized diagnosis of cardiovascular disease and dependent renal complications using decision tree. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY 2021. [DOI: 10.1007/s43538-021-00026-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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6
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Harvey RA, Elias KM, Lim A, Bercow A, Short D, Horowitz NS, Berkowitz RS, Agarwal R, Seckl MJ. Uterine artery pulsatility index and serum BMP-9 predict resistance to methotrexate therapy in gestational trophoblastic neoplasia: A cohort study. Curr Probl Cancer 2020; 45:100622. [PMID: 32800689 DOI: 10.1016/j.currproblcancer.2020.100622] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 06/27/2020] [Accepted: 07/02/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Methotrexate is the most common first-line chemotherapy for low-risk gestational trophoblastic neoplasia (GTN). Uterine artery pulsatility index (UAPI) is an ultrasound marker for tumor vascularity that has been associated with an increased risk of methotrexate resistance. The combination of circulating angiogenic factor levels with UAPI data may improve the capacity of this model to predict chemoresistance. METHODS This was a single-center cohort study of women newly diagnosed between January 2008 and June 2012 with low-risk GTN during postmolar surveillance and treated with single-agent methotrexate at Charing Cross Hospital, a UK national center for treatment of gestational trophoblastic disease. Two hundred seventeen women underwent an ultrasound for UAPI measurement prior to initiation of chemotherapy. To examine serologic markers of methotrexate resistance among this cohort, we performed a case-control study using archived serum from 76 patients who could be matched based on prognostic risk score. Serum samples were examined by immunoassay to measure 8 different angiogenic factors (VEGF-A, FGF-basic, PLGF-1, PDGF-BB, EGF, ANGPT2, BMP-9, and ENG). Receiver-operator characteristic area under the curve (AUC) values were calculated for the ability of each analyte to correctly classify patients as methotrexate sensitive (MTX-S) or resistant (MTX-R). RESULTS Total human chorionic gonadotropin levels were similar between the MTX-S and MTX-R groups. UAPI values were significantly higher in MTX-S (median 1.30 [interquartile range {IQR} = 0.80-1.90]) compared to MTX-R patients (median 0.875 [IQR = 0.60-1.30]; P < 0.0001) with AUC 0.68 (95% confidence interval 0.61-0.76; P < 0.0001). In univariate analysis, only BMP-9 concentrations were significantly different between groups, lower among MTX-S (median of 225 ng/L, IQR = 170-287) compared to MTX-R patients (median 280 ng/L [IQR = 200-339]; P= 0.03). Combining UAPI with BMP-9 concentration improved prediction for chemoresistance with AUC 0.77 (95% confidence interval 0.66-0.88; P < 0.0001). CONCLUSION Circulating levels of BMP-9 are elevated in newly diagnosed women with low-risk GTN destined to fail primary methotrexate therapy. A combined test using serum BMP-9 plus UAPI might improve prediction of MTX-R in low-risk GTN.
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Affiliation(s)
- Richard A Harvey
- Charing Cross Gestational Trophoblastic Disease Centre, Charing Cross Campus of Imperial College Healthcare NHS Trust, London, UK
| | - Kevin M Elias
- New England Trophoblastic Disease Center, Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
| | - Adrian Lim
- Imaging Department of Imperial College Healthcare NHS Trust, London, UK
| | - Alexandra Bercow
- New England Trophoblastic Disease Center, Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Dee Short
- Charing Cross Gestational Trophoblastic Disease Centre, Charing Cross Campus of Imperial College Healthcare NHS Trust, London, UK
| | - Neil S Horowitz
- New England Trophoblastic Disease Center, Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Ross S Berkowitz
- New England Trophoblastic Disease Center, Division of Gynecologic Oncology, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Roshan Agarwal
- Charing Cross Gestational Trophoblastic Disease Centre, Charing Cross Campus of Imperial College Healthcare NHS Trust, London, UK
| | - Michael J Seckl
- Charing Cross Gestational Trophoblastic Disease Centre, Charing Cross Campus of Imperial College Healthcare NHS Trust, London, UK; Molecular Oncology, Department of Surgery and Cancer, Hammersmith Hospital Campus of Imperial College London, London, UK
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7
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Kemper M, Hentschel W, Graß JK, Stüben BO, Konczalla L, Rawnaq T, Ghadban T, Izbicki JR, Reeh M. Serum Midkine is a clinical significant biomarker for colorectal cancer and associated with poor survival. Cancer Med 2020; 9:2010-2018. [PMID: 31984657 PMCID: PMC7064087 DOI: 10.1002/cam4.2884] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 11/05/2019] [Accepted: 01/14/2020] [Indexed: 12/31/2022] Open
Abstract
Colorectal carcinoma (CRC) is one of the most common carcinomas worldwide. Early detection is crucial for reducing morbidity and mortality. Several promising studies described the use of midkine (MK) as a tumor marker. This study aimed to investigate a larger collective to ascertain if the preoperative serum midkine level (S‐MK) is suitable as a marker for screening and if S‐MK correlates with tumor progression and localization. It was also investigated for the first time whether patients with high S‐MK show poor survival. This prospective single‐center study included 299 patients with CRC. The preoperative serum midkine level (S‐MK) was determined using ELISA. Established tumor markers Carcinoembryonic antigen (CEA) and Carbohydrate antigen 19‐9 (CA 19‐9) were collected for comparison. The median follow‐up period was 65 months. S‐MK was significantly elevated in patients with CRC (P < .001). The receiver operation characteristic (ROC) curve has an area under the curve (AUC) of 0.868 (P < .001). A cut‐off value of 56.42 pg/mL results in a sensitivity of 84.3% and a specificity of 75.4%. In the one‐way analysis of variance (ANOVA), there were no significant correlations between S‐MK and tumor progression, localization. Furthermore, no significant correlation to CEA und CA 19‐9 could be found. Kaplan‐Meier survival analysis was able to show for the first time that patients with S‐MK of more than 225 pg/mL have a significantly shorter survival. Multivariate Cox regression showed that only CEA was an independent prognostic factor for survival. S‐MK helps estimate the prognosis for CRC and is a valuable component for developing a multimarker panel for screening and surveillance.
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Affiliation(s)
- Marius Kemper
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Wiebke Hentschel
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Julia-Kristin Graß
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Bjoern-Ole Stüben
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Leonie Konczalla
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Tamina Rawnaq
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Tarik Ghadban
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Jakob R Izbicki
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Reeh
- Department of General, Visceral and Thoracic Surgery, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
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8
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Bakker DS, Drylewicz J, Nierkens S, Knol EF, Giovannone B, Delemarre EM, van der Schaft J, Balak DMW, de Bruin-Weller MS, Thijs JL. Early identification of atopic dermatitis patients in need of systemic immunosuppressive treatment. Clin Exp Allergy 2019; 49:1641-1644. [PMID: 31520450 PMCID: PMC6973172 DOI: 10.1111/cea.13495] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 08/30/2019] [Accepted: 09/02/2019] [Indexed: 12/20/2022]
Affiliation(s)
- Daphne S Bakker
- Department of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands.,Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Julia Drylewicz
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Stefan Nierkens
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Edward F Knol
- Department of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands.,Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Barbara Giovannone
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Eveline M Delemarre
- Laboratory of Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jorien van der Schaft
- Department of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Deepak M W Balak
- Department of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marjolein S de Bruin-Weller
- Department of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Judith L Thijs
- Department of Dermatology and Allergology, National Expertise Center for Atopic Dermatitis, University Medical Center Utrecht, Utrecht, The Netherlands
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9
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Wu W, Yong WW, Chung MCM. A simple biomarker scoring matrix for early gastric cancer detection. Proteomics 2016; 16:2921-2930. [PMID: 27488579 DOI: 10.1002/pmic.201600194] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2016] [Revised: 07/25/2016] [Accepted: 07/27/2016] [Indexed: 12/31/2022]
Abstract
Gastric cancer (GC) is a major cause of death in many parts of the world. While 90% of early GC is curable by resection, only about 5% of patients diagnosed in the late stages survive beyond five years. This provides strong impetus to push for early GC detection through the use of non-invasive biomarkers, before metastatic complications arise. It is also of strong medical interest to identify patients of the diffuse subtype at the earliest time possible, since the disease variant progresses very rapidly and is associated with much higher mortality rate. In this study, we compared quantitatively the gastric fluid proteome of 70 GC patients to 17 individuals with benign gastritis in search of potential biomarkers that aid in GC diagnosis, prognosis and subtype stratification. We report that as much as half of the gastric fluid proteome is subject to regulation in diseased states, and propose a simple biomarker panel scoring matrix for early GC detection with diagnostic sensitivity of 95.7%. We also demonstrate as proof-of-concept that a digitised record generated with SWATH-MS based on 380 protein abundance signatures from the gastric fluid could segregate patients with diffuse-type GC.
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Affiliation(s)
- Wei Wu
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Wei Yong
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Maxey C M Chung
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Department of Biological Sciences, Faculty of Science, National University of Singapore, Singapore
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10
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Jones DR. Measuring midkine: the utility of midkine as a biomarker in cancer and other diseases. Br J Pharmacol 2015; 171:2925-39. [PMID: 24460734 DOI: 10.1111/bph.12601] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2013] [Revised: 11/15/2013] [Accepted: 01/17/2014] [Indexed: 01/05/2023] Open
Abstract
Midkine (MK) is a pleiotropic growth factor prominently expressed during embryogenesis but down-regulated to neglible levels in healthy adults. Many published studies have demonstrated striking MK overexpression compared with healthy controls in various pathologies, including ischaemia, inflammation, autoimmunity and, most notably, in many cancers. MK expression is detectable in biopsies of diseased, but not healthy, tissues. Significantly, because it is a soluble cytokine, elevated MK is readily apparent in the blood and other body fluids such as urine and CSF, making MK a relatively convenient, accessible, non-invasive and inexpensive biomarker for population screening and early disease detection. The first diagnostic tests that quantify MK are just now receiving regulatory clearance and entering the clinic. This review examines the current state of knowledge pertaining to MK as a biomarker and highlights promising indications and clinical settings where measuring MK could make a difference to patient treatment. I also raise outstanding questions about reported variants of MK as well as MK's bio-distribution in vivo. Answering these questions in future studies will enhance our understanding of the significance of measured MK levels in both patients and healthy subjects, and may reveal further opportunities for measuring MK to diagnose disease. MK has already proven to be a biomarker that can significantly improve detection, management and treatment of cancer, and there is significant promise for developing further MK-based diagnostics in the future.
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Affiliation(s)
- D R Jones
- Cellmid Ltd., Sydney, NSW, Australia
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11
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Schellekens DHSM, Hulsewé KWE, van Acker BAC, van Bijnen AA, de Jaegere TMH, Sastrowijoto SH, Buurman WA, Derikx JPM. Evaluation of the diagnostic accuracy of plasma markers for early diagnosis in patients suspected for acute appendicitis. Acad Emerg Med 2013; 20:703-10. [PMID: 23859584 DOI: 10.1111/acem.12160] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2012] [Revised: 02/13/2013] [Accepted: 02/21/2013] [Indexed: 12/29/2022]
Abstract
OBJECTIVES The main objective of this study was to evaluate the diagnostic accuracy of two novel biomarkers, calprotectin (CP) and serum amyloid A (SAA), along with the more traditional inflammatory markers C-reactive protein (CRP) and white blood cell count (WBC), in patients suspected of having acute appendicitis (AA). The secondary objective was to compare diagnostic accuracy of these biomarkers with a clinical scoring system and radiologic imaging. METHODS A total of 233 patients with suspected AA, presenting to the emergency department (ED) between January 2010 and September 2010, and 52 healthy individuals serving as controls, were included in the study. Blood was drawn and CP and SAA-1 concentrations were measured using enzyme-linked immunosorbent assay (ELISA). CRP and WBC concentrations were routinely measured and retrospectively abstracted from the electronic health record, together with physical examination findings and radiologic reports. The Alvarado score was calculated as a clinical scoring system for AA. Final diagnosis of AA was based on histopathologic examination. The Mann-Whitney U-test was used for between-group comparisons. Receiver operating characteristic (ROC) curves were used to measure the diagnostic accuracy for the tests and to determine the best cutoff points. RESULTS Seventy-seven of 233 patients (33%) had proven AA. Median plasma levels for CP and SAA-1 were significantly higher in patients with AA than in those with another final diagnosis (CP, 320.9 ng/mL vs. 212.9 ng/mL; SAA-1, 30 mg/mL vs. 0.6 mg/mL; p < 0.001). CRP and WBC were significantly higher in patients with AA as well. The Alvarado score was helpful at the extremes (<3 or >7). Ultrasound (US) had a sensitivity of 84% and a specificity of 94%. Computed tomography (CT) had a sensitivity of 100% and a specificity of 91%. The area under the ROC (95% confidence interval [CI]) was 0.67 (95% CI = 0.60 to 0.74) for CP, 0.76 (95% CI = 0.70 to 0.82) for SAA, 0.71 (95% CI = 0.64 to 0.78) for CRP, and 0.79 (95% CI = 0.73 to 0.85) for WBC. No cutoff points had high enough sensitivity and specificity to accurately diagnose AA. However, a high sensitivity of 97% was shown at 7.5 × 10(9) /L for WBC and 0.375 mg/mL for SAA. CONCLUSIONS CP, SAA-1, CRP, and WBC were significantly elevated in patients with AA. None had cutoff points that could accurately discriminate between AA and other pathology in patients with suspected AA. A WBC < 7.5 × 10(9) /L, with a low level of clinical suspicion for AA, can identify a subgroup of patients who may be sent home without further evaluation, but who should have available next-day follow-up.
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Affiliation(s)
| | | | | | - Annemarie A. van Bijnen
- Department of Surgery; Maastricht University Medical Center and Nutrition and Toxicology Research Institute Maastricht; Maastricht; the Netherlands
| | | | | | - Wim A. Buurman
- Department of Surgery; Maastricht University Medical Center and Nutrition and Toxicology Research Institute Maastricht; Maastricht; the Netherlands
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12
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Hua S, Williams CC, Dimapasoc LM, Ro GS, Ozcan S, Miyamoto S, Lebrilla CB, An HJ, Leiserowitz GS. Isomer-specific chromatographic profiling yields highly sensitive and specific potential N-glycan biomarkers for epithelial ovarian cancer. J Chromatogr A 2013; 1279:58-67. [PMID: 23380366 PMCID: PMC5628020 DOI: 10.1016/j.chroma.2012.12.079] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2012] [Revised: 12/17/2012] [Accepted: 12/26/2012] [Indexed: 12/13/2022]
Abstract
Aberrant glycosylation has been observed for decades in essentially all types of cancer, and is now well established as an indicator of carcinogenesis. Mining the glycome for biomarkers, however, requires analytical methods that can rapidly separate, identify, and quantify isomeric glycans. We have developed a rapid-throughput method for chromatographic glycan profiling using microfluidic chip-based nanoflow liquid chromatography (nano-LC)/mass spectrometry. To demonstrate the utility of this method, we analyzed and compared serum samples from epithelial ovarian cancer cases (n=46) and healthy control individuals (n=48). Over 250 N-linked glycan compound peaks with over 100 distinct N-linked glycan compositions were identified. Statistical testing identified 26 potential glycan biomarkers based on both compositional and structure-specific analyses. Using these results, an optimized model was created incorporating the combined abundances of seven potential glycan biomarkers. The receiver operating characteristic (ROC) curve of this optimized model had an area under the curve (AUC) of 0.96, indicating robust discrimination between cancer cases and healthy controls. Rapid-throughput chromatographic glycan profiling was found to be an effective platform for structure-specific biomarker discovery.
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Affiliation(s)
- Serenus Hua
- Department of Chemistry, University of California, Davis, CA, USA
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13
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Calleja-Agius J, Muttukrishna S, Pizzey AR, Jauniaux E. Pro- and antiinflammatory cytokines in threatened miscarriages. Am J Obstet Gynecol 2011; 205:83.e8-16. [PMID: 21514552 DOI: 10.1016/j.ajog.2011.02.051] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2010] [Revised: 01/25/2011] [Accepted: 02/14/2011] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The purpose of this study was to evaluate circulating and intracellular levels of Th1 and Th2 cytokines in women with threatened miscarriage (TM) and subsequent outcome. STUDY DESIGN Plasma levels of tumor necrosis factor (TNF)-receptors 1 and 2, TNFα, interferon gamma (IFNγ), and interleukins (IL) -6 and -10 were measured by flow cytometric bead assays in 80 women with TM: 53 women with normal outcome and 27 women who miscarried. Fluorescent antibody labeling was also performed on whole blood in a subgroup of 27 women of TM: 16 women with normal outcome and 11 women who miscarried. RESULTS Monocyte expression of TNFα and circulating levels of TNFα, IFNγ, IL-10, IL-6, and TNF-R1 were significantly lower, whereas circulating levels of TNFα/IL-10, IFNγ/IL-10, and TNFα/IL-6 ratios were significantly higher, in women with TM who subsequently miscarried, compared with the women with normal outcome. CONCLUSION An increased Th1 type of immune response, which was similar to that observed in preterm delivery, was found in TM cases that were complicated by a subsequent miscarriage.
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Affiliation(s)
- Robert B Colvin
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
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