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Original Articles
Instability of Plasma and Serum Progastrin-Releasing Peptide During Repeated Freezing and Thawing
Jae-Eun Lee, Jin-Hyun Lee, Maria Hong, Seul-Ki Park, Ji-In Yu, So-Youn Shin, Shine Young Kim
Osong Public Health Res Perspect. 2016;7(6):351-355.   Published online December 31, 2016
DOI: https://doi.org/10.1016/j.phrp.2016.11.004
  • 3,143 View
  • 21 Download
  • 2 Crossref
AbstractAbstract PDF
Objectives
Progastrin-releasing peptide (proGRP) is a promising biomarker for small cell lung cancer. However, not much is known about how sample processing and storage conditions affect the stability of proGRP. Here, we examined the effects of repeated freeze–thaw cycles on the stability of proGRP in plasma and serum.
Methods
Concentrations of proGRP were measured in plasma and serum samples exposed to two, three, or four freeze–thaw cycles and these were compared with values of corresponding samples exposed to one cycle (baseline). We also performed the area under the receiver-operating-characteristic curve (AUC) analysis to determine whether the differences of proGRP concentrations between each paired plasma and serum sample (ΔproGRP) can be used for identifying the samples that have been exposed to multiple freeze–thaw cycles.
Results
Concentrations of proGRP gradually decreased in both plasma and serum samples with increasing numbers of freeze–thaw cycles. Reduction rates of proGRP concentrations were greater in serum than in plasma samples and serum proGRP levels declined with statistical significance (p < 0.001) up to 10.1% after four freeze–thaw cycles. The ΔproGRP measurement showed fair accuracy (AUC = 0.741) for identifying samples that had been through four freeze–thaw cycles. The sensitivity was 82.8% and specificity was 62.1% at an optimal cut-off point of > 4.9.
Conclusion
Our study shows that the stability of circulating proGRP is affected in both plasma and serum samples by repeated freezing and thawing. We also show that ΔproGRP could be used for identifying paired plasma and serum samples subjected to multiple freeze–thaw cycles.

Citations

Citations to this article as recorded by  
  • Effect of Repeated Freeze–Thaw Cycles on Influenza Virus Antibodies
    Alessandro Torelli, Elena Gianchecchi, Martina Monti, Pietro Piu, Irene Barneschi, Carolina Bonifazi, Rosa Coluccio, Luisa Ganfini, Luciano Michele La Magra, Silvia Marconi, Ginevra Marzucchi, Ramona Pace, Laura Palladino, Bernardo Biagi, Emanuele Montomo
    Vaccines.2021; 9(3): 267.     CrossRef
  • The influence of different blood samples treatment methods on pro-gastrin-releasing peptide
    Huiqin Jiang, Ling Luo, Kang Xiong, Chengwen He, Huaizhou Wang, Yanghua Qin
    Medicine.2019; 98(26): e16130.     CrossRef
Influence of Obesity on Postural Stability in Young Adults
Sung Min Son
Osong Public Health Res Perspect. 2016;7(6):378-381.   Published online December 31, 2016
DOI: https://doi.org/10.1016/j.phrp.2016.10.001
  • 2,900 View
  • 19 Download
  • 25 Crossref
AbstractAbstract PDF
Objectives
The purpose of this study was to determine whether obesity is associated with less postural stability in young adults, and whether it is influenced by anterior pelvic tilt angle and sensory dysfunction.
Methods
Center of gravity (COG) velocity and total sway distance with eyes open or eyes closed on firm or foam floors were determined in 12 obese individuals and 12 individuals with normal weight.
Results
On firm and foam floors with eyes closed, center of gravity velocity and total sway distance were significantly greater in the obese group than in the normal-weight group. However, on firm and foam floors with eyes open, center of gravity velocity and total sway distance were not significantly different in the two groups.
Conclusion
The clinical implication of our findings is that obese young adults exhibit poor postural stability. Our findings also suggested that postural instability in obese individuals is associated with increased lordosis due to abdominal fat and poor integration of plantar somatosensory input.

Citations

Citations to this article as recorded by  
  • Obesity, Physical Performance, Balance Confidence, and Falls in Community-Dwelling Older Adults: Results from the Korean Frailty and Aging Cohort Study
    Ga Yang Shim, Myung Chul Yoo, Yunsoo Soh, Jinmann Chon, Chang Won Won
    Nutrients.2024; 16(5): 614.     CrossRef
  • Epidemiology of work-related injuries, musculoskeletal disorders and dermatitis among hospital food service workers in a tertiary hospital in Asia
    Kenneth Bao Ren Leong, Qin Xiang Ng, Wee Hoe Gan, Wee Tong Ng, John Wah Lim
    Journal of Occupational Medicine and Toxicology.2024;[Epub]     CrossRef
  • The Medical Burden of Obesity and Overweight in the US Military: Association of BMI with Clinically Diagnosed Medical Conditions in United States Military Service Members
    Joseph J. Knapik, Emily K. Farina, Ryan A. Steelman, Daniel W. Trone, Harris R. Lieberman
    The Journal of Nutrition.2023; 153(10): 2951.     CrossRef
  • The effect of modified optic flow gain on quiet stance
    Lisa K. Lavalle, Taylor W. Cleworth
    Neuroscience Letters.2023; 797: 137068.     CrossRef
  • Does Obesity Affect Neuromuscular and Cardiovascular Adaptations after a 3-Month Combined Exercise Program in Untrained Premenopausal Middle-Aged Women?
    Konstantina Karatrantou, Vassilis Gerodimos
    Sports.2023; 11(4): 82.     CrossRef
  • Body Weight Distribution and Body Sway in Healthy Female Adults Aged between 51 and 60 Years in Germany—Standard Values
    Daniela Ohlendorf, Julia Keller, Polyna Sosnov, Hanns Ackermann, Fee Keil, Christian Maurer-Grubinger, Fabian Holzgreve, Gerhard Oremek, David A. Groneberg
    Applied Sciences.2022; 12(19): 9591.     CrossRef
  • Bariatric surgery and exercise: A pilot study on postural stability in obese individuals
    Natálie Cibulková, Klára Daďová, Kateřina Mašková, Andrew Busch, Alena Kobesová, Jitka Vařeková, Marcela Hašpicová, Martin Matoulek, Alessandro de Sire
    PLOS ONE.2022; 17(1): e0262651.     CrossRef
  • Are multimorbidity patterns associated with fear of falling in community-dwelling older adults?
    Jaquelini Betta Canever, Bruno de Souza Moreira, Ana Lúcia Danielewicz, Núbia Carelli Pereira de Avelar
    BMC Geriatrics.2022;[Epub]     CrossRef
  • Ability of Wearable Accelerometers-Based Measures to Assess the Stability of Working Postures
    Liangjie Guo, Junhui Kou, Mingyu Wu
    International Journal of Environmental Research an.2022; 19(8): 4695.     CrossRef
  • Defining age-adjusted spinopelvic alignment thresholds: should we integrate BMI?
    Peter G. Passias, Frank A. Segreto, Bailey Imbo, Tyler Williamson, Rachel Joujon-Roche, Peter Tretiakov, Oscar Krol, Sara Naessig, Cole A. Bortz, Samantha R. Horn, Waleed Ahmad, Katherine Pierce, Yael U. Ihejirika, Virginie Lafage
    Spine Deformity.2022; 10(5): 1077.     CrossRef
  • Added body mass alters plantar shear stresses, postural control, and gait kinetics: Implications for obesity
    Hwigeum Jeong, A. Wayne Johnson, J. Brent Feland, Spencer R. Petersen, Jared M. Staten, Dustin A. Bruening, Bijan Najafi
    PLOS ONE.2021; 16(2): e0246605.     CrossRef
  • Validity and reliability of smartphone-based application for chronic ankle instability
    Taelim Yoon, Jihyun Lee
    International Journal of Therapy and Rehabilitatio.2021; 28(9): 1.     CrossRef
  • Investigation of Relationship Between Body Mass Index and Neck Biomechanics in Healty Young Adults: A Cross-Sectional Study in a Single Center
    Hasan Erkan KILINÇ, Aynur Ayşe KARADUMAN
    Turkish Journal of Diabetes and Obesity.2021; 5(2): 173.     CrossRef
  • Understanding rider:horse bodyweight ratio trends, weight management practices and rider weight perceptions within leisure and amateur riders in the UK
    C.L. Challinor, H. Randle, J.M. Williams
    Comparative Exercise Physiology.2021; 17(5): 403.     CrossRef
  • Examination of Factors Related to Sway Angle in Young College Students: Focus on Sedentary Behavior
    Tetsuya KAGEYAMA, Masahiro SAWADA, Makoto NEJISHIMA
    Rigakuryoho Kagaku.2021; 36(5): 733.     CrossRef
  • Relationships between Height, Mass, Body Mass Index, and Trunk Muscle Activation during Seated Whole-Body Vibration Exposure
    Megan Govers, Alexander Nolan, Marwan Hassan, Michele Oliver
    Vibration.2021; 4(4): 822.     CrossRef
  • Correlational study of the center of pressure measures of postural steadiness on five different standing tasks in overweight adults
    Thunyanoot Prasertsakul, Panya Kaimuk, Wipawee Chinjenpradit, Warakorn Charoensuk
    Biomedical Engineering / Biomedizinische Technik.2020; 65(3): 367.     CrossRef
  • Influence of Obesity and Impact of a Physical Activity Program on Postural Control and Functional and Physical Capacities in Institutionalized Older Adults: A Pilot Study
    Wael Maktouf, Sylvain Durand, Bruno Beaune, Sébastien Boyas
    Journal of Physical Activity and Health.2020; 17(2): 169.     CrossRef
  • Balance Control in Obese Subjects during Quiet Stance: A State-of-the Art
    Veronica Cimolin, Nicola Cau, Manuela Galli, Paolo Capodaglio
    Applied Sciences.2020; 10(5): 1842.     CrossRef
  • Effect of Adding Proprioceptive Exercise to Balance Training in Older Adults with Diabetes: A Systematic Review
    Ayman A. Mohamed, Yih-Kuen Jan
    Current Diabetes Reviews.2020; 16(4): 327.     CrossRef
  • Determination of Postural Control Mechanism in Overweight Adults Using The Artificial Neural Networks System and Nonlinear Autoregressive Moving Average Model
    Thunyanoot Prasertsakul, Warakorn Charoensuk
    Advanced Biomedical Engineering.2020; 9: 154.     CrossRef
  • Effect of different lumbar lordotic angles on dynamic postural stability in young adults
    Mostafa Gomaa Mahmoud Ali, Neveen Abdel Latif Abdel Raoof, Magda Gaid Sedhom, Nesma Ahmed Helmy, Hossam Eddien Fawaz
    Fizjoterapia Polska.2020; 20(2): 142.     CrossRef
  • Validation of the two-minute step test in obese with comorbibities and morbidly obese patients
    P.A. Ricci, R. Cabiddu, S.P. Jürgensen, L.D. André, C.R. Oliveira, L. Di Thommazo-Luporini, F.P. Ortega, A. Borghi-Silva
    Brazilian Journal of Medical and Biological Resear.2019;[Epub]     CrossRef
  • Combined effects of aging and obesity on postural control, muscle activity and maximal voluntary force of muscles mobilizing ankle joint
    Wael Maktouf, Sylvain Durand, Sébastien Boyas, Camille Pouliquen, Bruno Beaune
    Journal of Biomechanics.2018; 79: 198.     CrossRef
  • The effect of age on balancing behavior: complexity analysis of mediolateral force trajectories
    A L Hilbun, I Karsai
    Physiological Measurement.2017; 39(1): 015002.     CrossRef
Inorganic Phosphorus and Potassium Are Putative Indicators of Delayed Separation of Whole Blood
Jae-Eun Lee, Maria Hong, Seul-Ki Park, Ji-In Yu, Jin-Sook Wang, Haewon Shin, Jong-Wan Kim, Bok-Ghee Han, So-Youn Shin
Osong Public Health Res Perspect. 2016;7(2):90-95.   Published online April 30, 2016
DOI: https://doi.org/10.1016/j.phrp.2015.11.003
  • 2,873 View
  • 17 Download
  • 8 Crossref
AbstractAbstract PDF
Objectives
The delayed separation of whole blood can influence the concentrations of circulating blood components, including metabolites and cytokines. The aim of this study was to determine whether clinical-biochemistry analytes can be used to assess the delayed separation of whole blood.
Methods
We investigated the plasma and serum concentrations of five clinical-biochemistry analytes and free hemoglobin when the centrifugation of whole blood stored at 4°C or room temperature was delayed for 4 hours, 6 hours, 24 hours, or 48 hours, and compared the values with those of matched samples that had been centrifuged within 2 hours after whole-blood collection.
Results
The inorganic phosphorus (IP) levels in the plasma and serum samples were elevated ≥ 1.5-fold when whole-blood centrifugation was delayed at room temperature for 48 hours. Furthermore, the IP levels in the plasma samples showed excellent assessment accuracy [area under the receiver-operating-characteristic curve (AUC) > 0.9] after a 48-hour delay in whole-blood separation, and high sensitivity (100%) and specificity (95%) at an optimal cutoff point. The IP levels in the serum samples also exhibited good assessment accuracy (AUC > 0.8), and high sensitivity (81%) and specificity (100%). The potassium (K+) levels were elevated 1.4-fold in the serum samples following a 48-hour delay in whole-blood separation. The K+ levels showed excellent assessment accuracy (AUC > 0.9) following a 48-hour delay in whole-blood separation, and high sensitivity (95%) and specificity (91%) at an optimal cutoff point.
Conclusion
Our study showed that the IP and K+ levels in the plasma or serum samples could be considered as putative indicators to determine whether whole-blood separation had been delayed for extended periods.

Citations

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  • Concordance in COVID-19 serology, bone mineralization, and inflammatory analytes between venous and self-collected capillary blood samples exposed to various pre-analytical conditions
    Banafshe Hosseini, Harika Dasari, Anna Smyrnova, Claude Bourassa, Jing Leng, Christian Renaud, Francine M Ducharme
    Annals of Clinical Biochemistry: International Jou.2023; 60(4): 259.     CrossRef
  • Assessment of avian health status: suitability and constraints of the Zoetis VetScan VS2 blood analyser for ecological and evolutionary studies
    Ye Xiong, Michael Tobler, Arne Hegemann, Dennis L. Hasselquist
    Biology Open.2023;[Epub]     CrossRef
  • Blood Plasma Quality Control by Plasma Glutathione Status
    Tamara Tomin, Natalie Bordag, Elmar Zügner, Abdullah Al-Baghdadi, Maximilian Schinagl, Ruth Birner-Gruenberger, Matthias Schittmayer
    Antioxidants.2021; 10(6): 864.     CrossRef
  • Identification of specific pre-analytical quality control markers in plasma and serum samples
    Luz Ruiz-Godoy, Virginia Enríquez-Cárcamo, Lourdes Suárez-Roa, María Lourdes Lopez-Castro, Abel Santamaría, Mario Orozco-Morales, Ana Laura Colín-González
    Analytical Methods.2019; 11(17): 2259.     CrossRef
  • Proteomics and Lipidomics in Inflammatory Bowel Disease Research: From Mechanistic Insights to Biomarker Identification
    Bjoern Titz, Raffaella Gadaleta, Giuseppe Lo Sasso, Ashraf Elamin, Kim Ekroos, Nikolai Ivanov, Manuel Peitsch, Julia Hoeng
    International Journal of Molecular Sciences.2018; 19(9): 2775.     CrossRef
  • Impact of Preanalytical Variations in Blood-Derived Biospecimens on Omics Studies: Toward Precision Biobanking?
    Jae-Eun Lee, Young-Youl Kim
    OMICS: A Journal of Integrative Biology.2017; 21(9): 499.     CrossRef
  • Effect of delayed centrifugation of whole blood on serum samples stability
    Massimo Daves, Vincenzo Roccaforte, Michele Giacomi, Monica Riva, Maria Leitner, Stefan Platzgummer, Gertraud Goetsch, Giuseppe Lippi
    La Rivista Italiana della Medicina di Laboratorio .2017; 13(1): 41.     CrossRef
  • Instability of Plasma and Serum Progastrin-Releasing Peptide During Repeated Freezing and Thawing
    Jae-Eun Lee, Jin-Hyun Lee, Maria Hong, Seul-Ki Park, Ji-In Yu, So-Youn Shin, Shine Young Kim
    Osong Public Health and Research Perspectives.2016; 7(6): 351.     CrossRef
Modeling the Spread of Ebola
Tae Sug Do, Young S. Lee
Osong Public Health Res Perspect. 2016;7(1):43-48.   Published online February 28, 2016
DOI: https://doi.org/10.1016/j.phrp.2015.12.012
  • 3,024 View
  • 19 Download
  • 15 Crossref
AbstractAbstract PDF
Objectives
This study aims to create a mathematical model to better understand the spread of Ebola, the mathematical dynamics of the disease, and preventative behaviors.
Methods
An epidemiological model is created with a system of nonlinear differential equations, and the model examines the disease transmission dynamics with isolation through stability analysis. All parameters are approximated, and results are also exploited by simulations. Sensitivity analysis is used to discuss the effect of intervention strategies.
Results
The system has only one equilibrium point, which is the disease-free state (S,L,I,R,D) = (N,0,0,0,0). If traditional burials of Ebola victims are allowed, the possible end state is never stable. Provided that safe burial practices with no traditional rituals are followed, the endemic-free state is stable if the basic reproductive number, R0, is less than 1. Model behaviors correspond to empirical facts. The model simulation agrees with the data of the Nigeria outbreak in 2004: 12 recoveries, eight deaths, Ebola free in about 3 months, and an R0 value of about 2.6 initially, which signifies swift spread of the infection. The best way to reduce R0 is achieving the speedy net effect of intervention strategies. One day's delay in full compliance with building rings around the virus with isolation, close observation, and clear education may double the number of infected cases.
Conclusion
The model can predict the total number of infected cases, number of deaths, and duration of outbreaks among others. The model can be used to better understand the spread of Ebola, educate about prophylactic behaviors, and develop strategies that alter environment to achieve a disease-free state. A future work is to incorporate vaccination in the model when the vaccines are developed and the effects of vaccines are known better.

Citations

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  • Fractional–Order Modeling and Control of COVID-19 with Shedding Effect
    Isa A. Baba, Usa W. Humphries, Fathalla A. Rihan, J. E. N. Valdés
    Axioms.2023; 12(4): 321.     CrossRef
  • Projecting the impact of an ebola virus outbreak on endangered mountain gorillas
    Dawn M. Zimmerman, Emily Hardgrove, Sara Sullivan, Stephanie Mitchell, Eddy Kambale, Julius Nziza, Benard Ssebide, Chantal Shalukoma, Mike Cranfield, Pranav S. Pandit, Sean P. Troth, Taylor Callicrate, Philip Miller, Kirsten Gilardi, Robert C. Lacy
    Scientific Reports.2023;[Epub]     CrossRef
  • Mathematical Models for Typhoid Disease Transmission: A Systematic Literature Review
    Sanubari Tansah Tresna, Subiyanto, Sudradjat Supian
    Mathematics.2022; 10(14): 2506.     CrossRef
  • Fractional COVID-19 Modeling and Analysis on Successive Optimal Control Policies
    Mohammed Subhi Hadi, Bülent Bilgehan
    Fractal and Fractional.2022; 6(10): 533.     CrossRef
  • Analysis of a Covid-19 model: Optimal control, stability and simulations
    Seda İğret Araz
    Alexandria Engineering Journal.2021; 60(1): 647.     CrossRef
  • Modeling 2018 Ebola virus disease outbreak with Cholesky decomposition
    Lagès Nadège Mouanguissa, Abdul A. Kamara, Xiangjun Wang
    Mathematical Methods in the Applied Sciences.2021; 44(7): 5739.     CrossRef
  • Mitigation strategies and compliance in the COVID-19 fight; how much compliance is enough?
    Swati Mukerjee, Clifton M. Chow, Mingfei Li, Martin Chtolongo Simuunza
    PLOS ONE.2021; 16(8): e0239352.     CrossRef
  • A Generalized Mechanistic Model for Assessing and Forecasting the Spread of the COVID-19 Pandemic
    Hamdi Friji, Raby Hamadi, Hakim Ghazzai, Hichem Besbes, Yehia Massoud
    IEEE Access.2021; 9: 13266.     CrossRef
  • Analytical solution for post-death transmission model of Ebola epidemics
    Abdul A. Kamara, Xiangjun Wang, Lagès Nadège Mouanguissa
    Applied Mathematics and Computation.2020; 367: 124776.     CrossRef
  • Modelling the daily risk of Ebola in the presence and absence of a potential vaccine
    Stéphanie M.C. Abo, Robert Smith
    Infectious Disease Modelling.2020; 5: 905.     CrossRef
  • Data Fitting and Scenario Analysis of Vaccination in the 2014 Ebola Outbreak in Liberia
    Zhifu Xie
    Osong Public Health and Research Perspectives.2019; 10(3): 187.     CrossRef
  • Effect of sexual transmission on the West Africa Ebola outbreak in 2014: a mathematical modelling study
    Dongmei Luo, Rongjiong Zheng, Duolao Wang, Xueliang Zhang, Yi Yin, Kai Wang, Weiming Wang
    Scientific Reports.2019;[Epub]     CrossRef
  • Mathematical modeling of contact tracing as a control strategy of Ebola virus disease
    T. Berge, A. J. Ouemba Tassé, H. M. Tenkam, J. Lubuma
    International Journal of Biomathematics.2018; 11(07): 1850093.     CrossRef
  • Challenges of Designing and Implementing High Consequence Infectious Disease Response
    Joan M. King, Chetan Tiwari, Armin R. Mikler, Martin O’Neill
    Disaster Medicine and Public Health Preparedness.2018; 12(5): 563.     CrossRef
  • The potential impact of a prophylactic vaccine for Ebola in Sierra Leone
    Erin N. Bodine, Connor Cook, Mikayla Shorten
    Mathematical Biosciences and Engineering.2017; 15(2): 337.     CrossRef
Effect of Repeated Freezing and Thawing on Biomarker Stability in Plasma and Serum Samples
Jae-Eun Lee, Shine Young Kim, So-Youn Shin
Osong Public Health Res Perspect. 2015;6(6):357-362.   Published online December 31, 2015
DOI: https://doi.org/10.1016/j.phrp.2015.11.005
  • 3,226 View
  • 22 Download
  • 43 Crossref
AbstractAbstract PDF
Objectives
The stability of circulating proteins can be affected by repeated freezing and thawing. The aim of our study was to identify the effect of repeated freezing and thawing on the plasma and serum concentrations of eight proteins [interferon-γ, interleukin (IL)-8, IL-15, IL-17A, matrix metalloproteinase (MMP)-7, tumor necrosis factor-α, vascular endothelial growth factor (VEGF), and VEGF receptor 2 (VEGF-R2)].
Methods
We assessed the concentration changes of these proteins in 30 plasma and serum samples subjected to three, four, or five freeze–thaw cycles, and compared these with the concentration changes in the samples that were subjected to two freeze–thaw cycles before analysis.
Results
Repeated freezing and thawing by up to five cycles did not modify the plasma and serum concentrations of interferon-γ, IL-8, and VEGF-R2, while levels of MMP-7, tumor necrosis factor-α, and VEGF were significantly changed in both plasma and serum samples. Moreover, MMP-7 and VEGF concentrations tended to increase with freeze–thaw cycles. They were more elevated in plasma samples (up to about 15%) than in serum samples (up to about 7%), suggesting that serum is the preferred sample type for the analysis of circulating proteins.
Conclusion
This is the first report on the effect of repeated freezing and thawing on plasma concentrations of MMP-7 and VEGF-R2. Our findings propose that researchers should consider the number of freeze–thaw cycles to select plasma or serum samples, depending on the type of analyte.

Citations

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  • Reliability, stability during long-term storage, and intra-individual variation of circulating levels of osteopontin, osteoprotegerin, vascular endothelial growth factor-A, and interleukin-17A
    Tomoki Nakamizo, John Cologne, Takeshi Kishi, Tetsuya Takahashi, Mayumi Inoue, Hiroyuki Ryukaku, Tomonori Hayashi, Yoichiro Kusunoki, Saeko Fujiwara, Waka Ohishi
    European Journal of Medical Research.2024;[Epub]     CrossRef
  • Quantitative and qualitative analysis of stability for 16 serum immunoregulators over 50 freeze–thaw cycles
    R. N. Chowdhury, A. Armato, E. Culver, L. Shteynman, C. Kurien, B. Cradin, F. Margolin, T. Nguyen, C. Cardona, N. Kabir, R. M. Garruto, J. K. Lum, K. Wander
    American Journal of Human Biology.2024;[Epub]     CrossRef
  • Biobanking for Neurodegenerative Diseases: Challenge for Translational Research and Data Privacy
    Emilia Giannella, Valentino Notarangelo, Caterina Motta, Giulia Sancesario
    The Neuroscientist.2023; 29(2): 190.     CrossRef
  • Keep cool! Observed temperature variations at different process stages of the biobanking workflow – examples from the Leipzig medical biobank
    Juliane Weikert, Angelina Mehrländer, Ronny Baber
    Journal of Laboratory Medicine.2023; 47(2): 69.     CrossRef
  • The Stability of the Anti-Müllerian Hormone in Serum and Plasma Samples under Various Preanalytical Conditions
    Radana Vrzáková, Václav Šimánek, Ondřej Topolčan, Vladimír Vurm, David Slouka, Radek Kučera
    Diagnostics.2023; 13(8): 1501.     CrossRef
  • Differences in the inflammatory proteome of East African and Western European adults and associations with environmental and dietary factors
    Godfrey S Temba, Nadira Vadaq, Vesla Kullaya, Tal Pecht, Paolo Lionetti, Duccio Cavalieri, Joachim L Schultze, Reginald Kavishe, Leo AB Joosten, Andre J van der Ven, Blandina T Mmbaga, Mihai G Netea, Quirijn de Mast
    eLife.2023;[Epub]     CrossRef
  • Influence of Freezing Temperature, Freezing Duration, and Repeated Freeze/Thaw Cycles on Electrophoretic Profiles in the White Stork (Ciconia ciconia)
    Milan Thorel, Yannick Roman, Antoine Leclerc
    Journal of Avian Medicine and Surgery.2023;[Epub]     CrossRef
  • Clinical Spectroscopy: Lost in Translation?
    James M. Cameron, Christopher Rinaldi, Samantha H. Rutherford, Alexandra Sala, Ashton G. Theakstone, Matthew J. Baker
    Applied Spectroscopy.2022; 76(4): 393.     CrossRef
  • Correlation of Repeat Measurements of 27 Candidate Protein Markers for Colorectal Cancer Screening Taken Three Years and Multiple Freeze–Thaw Cycles Apart
    Megha Bhardwaj, Petra Schrotz-King, Hermann Brenner
    Life.2022; 12(3): 359.     CrossRef
  • Development of quinone linked immunosorbent assay (QuLISA) based on using Folin’s reagent as a non-enzymatic tag: Application to analysis of food allergens
    Mahmoud El-Maghrabey, Yudai Sato, Fatema Kaladari, Naoya Kishikawa, Naotaka Kuroda
    Sensors and Actuators B: Chemical.2022; 368: 132167.     CrossRef
  • A systematic review and meta-analysis of preanalytical factors and methodological differences influencing the measurement of circulating vascular endothelial growth factor
    Ulrika Sjöbom, Anders K. Nilsson, Hanna Gyllensten, Ann Hellström, Chatarina Löfqvist, Angela J. Glading
    PLOS ONE.2022; 17(7): e0270232.     CrossRef
  • Cytokines: From Clinical Significance to Quantification
    Chao Liu, Dewei Chu, Kourosh Kalantar‐Zadeh, Jacob George, Howard A. Young, Guozhen Liu
    Advanced Science.2021;[Epub]     CrossRef
  • Microheterogeneity and preanalytical stability of protein biomarkers of inflammation and renal function
    Jie Gao, Arve Ulvik, Adrian McCann, Per Magne Ueland, Klaus Meyer
    Talanta.2021; 223: 121774.     CrossRef
  • The effect of pre-analytical handling on the stability of fractalkine, monocyte chemoattractant protein 1 (MCP1), interleukin 6 and interleukin 8 in samples of human cerebrospinal fluid
    Winnie Charlotte Pedersen Mortensen, Laila Bendix, Hanne Irene Jensen, Claus Varnum, Lasse Enkebølle Rasmussen, Jørgen T. Lauridsen, Nis Borbye-Lorenzen, Kristin Skogstrand, Palle Toft, Henrik Bjarke Vaegter, Morten Rune Blichfeldt-Eckhardt
    Journal of Immunological Methods.2021; 494: 113057.     CrossRef
  • Standardizing salivary lactoferrin measurements to obtain a robust diagnostic biomarker for Alzheimer's disease
    Fernando Bartolome, Gorka Orive, Eva Carro
    Alzheimer's & Dementia: Diagnosis, Assessment & Di.2021;[Epub]     CrossRef
  • Pre-analytical considerations in biomarker research: focus on cardiovascular disease
    Elena Revuelta-López, Jaume Barallat, Adriana Cserkóová, Carolina Gálvez-Montón, Allan S. Jaffe, James L. Januzzi, Antoni Bayes-Genis
    Clinical Chemistry and Laboratory Medicine (CCLM).2021; 59(11): 1747.     CrossRef
  • Vaginal cytokine profile and microbiota before and after lubricant use compared with condomless vaginal sex: a preliminary observational study
    Susan Tuddenham, Christina A. Stennett, Richard A. Cone, Jacques Ravel, Andrew N. Macintyre, Khalil G. Ghanem, Xin He, Rebecca M. Brotman
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • Proximity Extension Assay in Combination with Next-Generation Sequencing for High-throughput Proteome-wide Analysis
    Lotta Wik, Niklas Nordberg, John Broberg, Johan Björkesten, Erika Assarsson, Sara Henriksson, Ida Grundberg, Erik Pettersson, Christina Westerberg, Elin Liljeroth, Adam Falck, Martin Lundberg
    Molecular & Cellular Proteomics.2021; 20: 100168.     CrossRef
  • Serum or plasma? An old question looking for new answers
    Mario Plebani, Giuseppe Banfi, Sergio Bernardini, Francesco Bondanini, Laura Conti, Romolo Dorizzi, Fulvio Enrico Ferrara, Rita Mancini, Tommaso Trenti
    Clinical Chemistry and Laboratory Medicine (CCLM).2020; 58(2): 178.     CrossRef
  • Association Between Intravenous Fluid Bolus and Biomarker Trajectory During Prehospital Care
    Emily B. Brant, Jason Kennedy, Christian Martin-Gill, Vanessa Jackson, Octavia M. Peck Palmer, Clifton W. Callaway, Jeremy M. Kahn, Donald M. Yealy, Derek C. Angus, Christopher W. Seymour
    Prehospital Emergency Care.2020; 24(2): 196.     CrossRef
  • Evaluating sample stability in the clinical laboratory with the help of linear and non-linear regression analysis
    Joachim K.W. Pum
    Clinical Chemistry and Laboratory Medicine (CCLM).2020; 58(2): 188.     CrossRef
  • Optimization of Saliva Collection and Immunochromatographic Detection of Salivary Pepsin for Point-of-Care Testing of Laryngopharyngeal Reflux
    Young Ju Lee, Jiyoon Kwon, Sanggyeong Shin, Young-Gyu Eun, Jae Ho Shin, Gi-Ja Lee
    Sensors.2020; 20(1): 325.     CrossRef
  • Stability of 12 T-helper cell-associated cytokines in human serum under different pre-analytical conditions
    Ulrik Stervbo, Sharon Bajda, Patrizia Wehler, Benjamin J. Rohn, Melanie Streichhahn, Sehriban Temizsoy, Eva Kohut, Toralf Roch, Richard Viebahn, Timm H. Westhoff, Nina Babel
    Cytokine.2020; 129: 155044.     CrossRef
  • Quinone-based antibody labeling reagent for enzyme-free chemiluminescent immunoassays. Application to avidin and biotinylated anti-rabbit IgG labeling
    Mahmoud El-Maghrabey, Naoya Kishikawa, Shiori Harada, Kaname Ohyama, Naotaka Kuroda
    Biosensors and Bioelectronics.2020; 160: 112215.     CrossRef
  • Standardized approaches for clinical sampling and endpoint ascertainment in tuberculous meningitis studies
    Ursula K Rohlwink, Felicia C Chow, Sean Wasserman, Sofiati Dian, Rachel PJ Lai, Lidya Chaidir, Raph L Hamers, Robert J Wilkinson, David R Boulware, Fiona V Cresswell, Arjan van Laarhoven
    Wellcome Open Research.2020; 4: 204.     CrossRef
  • Exploring pre-analytical factors for the optimisation of serum diagnostics: Progressing the clinical utility of ATR-FTIR spectroscopy
    James M. Cameron, Holly J. Butler, David J. Anderson, Loren Christie, Lily Confield, Katie E. Spalding, Duncan Finlayson, Stuart Murray, Zanib Panni, Christopher Rinaldi, Alexandra Sala, Ashton G. Theakstone, Matthew J. Baker
    Vibrational Spectroscopy.2020; 109: 103092.     CrossRef
  • QuantiFERON-TB Gold Plus with Chemiluminescence Immunoassay: Do We Need a Higher Cutoff?
    Francesco Bisognin, Giulia Lombardi, Maria Carla Re, Paola Dal Monte, Geoffrey A. Land
    Journal of Clinical Microbiology.2020;[Epub]     CrossRef
  • Stability of serum biochemical markers during standard long-term storage and with a single thawing
    V. A. Kozlova, V. A. Metelskaya, M. S. Pokrovskaya, I. A. Efimova, O. A. Litinskaya, V. A. Kutsenko, E. B. Yarovaya, S. A. Shalnova, O. M. Drapkina
    Cardiovascular Therapy and Prevention.2020; 19(6): 2736.     CrossRef
  • Development and application of a porcine specific ELISA for the quantification of soluble CD163
    J. Alex Pasternak, Daniel J. MacPhee, John C.S. Harding
    Veterinary Immunology and Immunopathology.2019; 210: 60.     CrossRef
  • Dynamics of circulating TNF during adalimumab treatment using a drug-tolerant TNF assay
    Lea C. Berkhout, Merel J. l’Ami, Jill Ruwaard, Margreet H. Hart, Pleuni Ooijevaar-de Heer, Karien Bloem, Michael T. Nurmohamed, Ronald F. van Vollenhoven, Maarten Boers, Daniel F. Alvarez, Catherine H. Smith, Gerrit J. Wolbink, Theo Rispens
    Science Translational Medicine.2019;[Epub]     CrossRef
  • Standardized approaches for clinical sampling and endpoint ascertainment in tuberculous meningitis studies
    Ursula K Rohlwink, Felicia C Chow, Sean Wasserman, Sofiati Dian, Rachel PJ Lai, Lidya Chaidir, Raph L Hamers, Robert J Wilkinson, David R Boulware, Fiona V Cresswell, Arjan van Laarhoven
    Wellcome Open Research.2019; 4: 204.     CrossRef
  • The Effect of Anticoagulants, Temperature, and Time on the Human Plasma Metabolome and Lipidome from Healthy Donors as Determined by Liquid Chromatography-Mass Spectrometry
    Manoj Khadka, Andrei Todor, Kristal M. Maner-Smith, Jennifer K. Colucci, ViLinh Tran, David A. Gaul, Evan J. Anderson, Muktha S. Natrajan, Nadine Rouphael, Mark J. Mulligan, Circe E. McDonald, Mehul Suthar, Shuzhao Li, Eric A. Ortlund
    Biomolecules.2019; 9(5): 200.     CrossRef
  • A caspase-6-cleaved fragment of Glial Fibrillary Acidic Protein as a potential serological biomarker of CNS injury after cardiac arrest
    Ditte S. Jonesco, Christian Hassager, Martin Frydland, Jesper Kjærgaard, Morten Karsdal, Kim Henriksen, Stephen D. Ginsberg
    PLOS ONE.2019; 14(11): e0224633.     CrossRef
  • Angiogenic Factor and Cytokine Analysis among Patients Treated with Adjuvant VEGFR TKIs in Resected Renal Cell Carcinoma
    Wenxin Xu, Maneka Puligandla, Judith Manola, Andrea J. Bullock, Daniel Tamasauskas, David F. McDermott, Michael B. Atkins, Naomi B. Haas, Keith Flaherty, Robert G. Uzzo, Janice P. Dutcher, Robert S. DiPaola, Rupal S. Bhatt
    Clinical Cancer Research.2019; 25(20): 6098.     CrossRef
  • Stability of important antibodies for kidney disease: pre-analytic methodological considerations
    Qiuxia Han, Songyan Li, Bo Fu, Dongwei Liu, Maoqing Wu, Xiaoli Yang, Guangyan Cai, Zhangsuo Liu, Xiangmei Chen, Hanyu Zhu
    PeerJ.2018; 6: e5178.     CrossRef
  • The association of angiogenic factors and chronic kidney disease
    Christopher E. Anderson, L. Lee Hamm, Gem Batuman, Damodar R. Kumbala, Chung-Shiuan Chen, Swapna G. Kallu, Ravi Siriki, Shilpa Gadde, Myra A. Kleinpeter, N. Kevin Krane, Eric E. Simon, Jiang He, Jing Chen
    BMC Nephrology.2018;[Epub]     CrossRef
  • Strong impact on plasma protein profiles by precentrifugation delay but not by repeated freeze-thaw cycles, as analyzed using multiplex proximity extension assays
    Qiujin Shen, Johan Björkesten, Joakim Galli, Daniel Ekman, John Broberg, Niklas Nordberg, Annika Tillander, Masood Kamali-Moghaddam, Gunnel Tybring, Ulf Landegren
    Clinical Chemistry and Laboratory Medicine (CCLM).2018; 56(4): 582.     CrossRef
  • Plasma-Derived Inflammatory Proteins Predict Oral Squamous Cell Carcinoma
    Kelly Yi Ping Liu, Xian Jun David Lu, Yuqi Sarah Zhu, Nhu Le, Hugh Kim, Catherine F. Poh
    Frontiers in Oncology.2018;[Epub]     CrossRef
  • Is vascular endothelial growth factor a useful biomarker in giant cell arteritis?
    Nicola Goodfellow, Julien Morlet, Surjeet Singh, Afsie Sabokbar, Andrew Hutchings, Vanshika Sharma, Jana Vaskova, Shauna Masters, Allahdad Zarei, Raashid Luqmani
    RMD Open.2017; 3(1): e000353.     CrossRef
  • Indices of immune function used by ecologists are mostly unaffected by repeated freeze-thaw cycles and methodological deviations
    Arne Hegemann, Sara Pardal, Kevin D. Matson
    Frontiers in Zoology.2017;[Epub]     CrossRef
  • The Enhanced Liver Fibrosis (ELF) Panel: Analyte Stability Under Common Sample Storage Conditions Used in Clinical Practice
    Oliver J Kennedy, Julie Parkes, Sudeep Tanwar, Paul M Trembling, William M Rosenberg
    The Journal of Applied Laboratory Medicine.2017; 1(6): 720.     CrossRef
  • Instability of Plasma and Serum Progastrin-Releasing Peptide During Repeated Freezing and Thawing
    Jae-Eun Lee, Jin-Hyun Lee, Maria Hong, Seul-Ki Park, Ji-In Yu, So-Youn Shin, Shine Young Kim
    Osong Public Health and Research Perspectives.2016; 7(6): 351.     CrossRef
  • Effects of Long-Term Storage Time and Original Sampling Month on Biobank Plasma Protein Concentrations
    Stefan Enroth, Göran Hallmans, Kjell Grankvist, Ulf Gyllensten
    EBioMedicine.2016; 12: 309.     CrossRef
A Differential Equation Model for the Dynamics of Youth Gambling
Tae Sug Do, Young S. Lee
Osong Public Health Res Perspect. 2014;5(4):233-241.   Published online August 31, 2014
DOI: https://doi.org/10.1016/j.phrp.2014.06.008
  • 3,069 View
  • 14 Download
  • 9 Crossref
AbstractAbstract PDF
Objectives
We examine the dynamics of gambling among young people aged 16–24 years, how prevalence rates of at-risk gambling and problem gambling change as adolescents enter young adulthood, and prevention and control strategies.
Methods
A simple epidemiological model is created using ordinary nonlinear differential equations, and a threshold condition that spreads gambling is identified through stability analysis. We estimate all the model parameters using a longitudinal prevalence study by Winters, Stinchfield, and Botzet to run numerical simulations. Parameters to which the system is most sensitive are isolated using sensitivity analysis.
Results
Problem gambling is endemic among young people, with a steady prevalence of approximately 4–5%. The prevalence of problem gambling is lower in young adults aged 18–24 years than in adolescents aged 16–18 years. At-risk gambling among young adults has increased. The parameters to which the system is most sensitive correspond to primary prevention.
Conclusion
Prevention and control strategies for gambling should involve school education. A mathematical model that includes the effect of early exposure to gambling would be helpful if a longitudinal study can provide data in the future.

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  • Whose Responsibility Is It to Prevent or Reduce Gambling Harm? A Mapping Review of Current Empirical Research
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  • Mathematical Modeling of the Population Dynamics of Age-Structured Criminal Gangs with Correctional Intervention Measures
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    Applied Mathematical Modelling.2022; 107: 39.     CrossRef
  • Emerging Gambling Problems and Suggested Interventions: A Systematic Review of Empirical Research
    Murat Akçayır, Fiona Nicoll, David G. Baxter
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  • Roll the Dice
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(5): 243.     CrossRef
  • Summing Up Again
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(4): 177.     CrossRef
  • Optimal Implementation of Intervention Strategies for Elderly People with Ludomania
    Byul Nim Kim, M.A. Masud, Yongkuk Kim
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A Note on Obesity as Epidemic in Korea
Mun Seok Kim, Chaeshin Chu, Yongkuk Kim
Osong Public Health Res Perspect. 2011;2(2):135-140.   Published online June 30, 2011
DOI: https://doi.org/10.1016/j.phrp.2011.08.004
  • 2,958 View
  • 15 Download
  • 9 Crossref
AbstractAbstract PDF
Objective To analyze the incidence of obesity in adults aged 19–59 years in Korea and predict its trend in the future.
Methods
We considered a two-compartmental deterministic mathematical model Susceptible-Infected-Susceptible (SIS), a system of difference equations, to predict the evolution of obesity in the population and to propose strategies to reduce its incidence.
Results
The prevention strategy on normal-weight individuals produced a greater improvement than that produced by treatment strategies.
Conclusions
Mathematical model sensitivity analysis suggests that obesity prevention strategies are more effective than obesity treatment strategies in controlling the increase of adult obesity in Korea.

Citations

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  • Quality Attributes of Fat-free Sausage Made of Chicken Breast and Liquid Egg White
    Hyun Jung Lee, Cheorun Jo, Ki Chang Nam, Kyung Haeng Lee
    The Korean Journal of Food And Nutrition.2016; 29(4): 449.     CrossRef
  • Optimal Intervention Strategies for the Spread of Obesity
    Chunyoung Oh, Masud M A
    Journal of Applied Mathematics.2015; 2015: 1.     CrossRef
  • Summing Up Again
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(4): 177.     CrossRef
  • Optimal Implementation of Intervention to Control the Self-harm Epidemic
    Byul Nim Kim, M.A. Masud, Yongkuk Kim
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  • A NOTE ON THE OBESITY AS AN EPIDEMIC
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    Honam Mathematical Journal.2014; 36(1): 131.     CrossRef
  • Journal Publishing: Never Ending Saga
    Hae-Wol Cho, Chaeshin Chu
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  • Roll the Dice
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2014; 5(5): 243.     CrossRef
  • Years of Epidemics (2009–2011): Pandemic Influenza and Foot-and-Mouth Disease Epidemic in Korea
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2013; 4(3): 125.     CrossRef
  • A Tale of Two Fields: Mathematical and Statistical Modeling of Infectious Diseases
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2011; 2(2): 73.     CrossRef

PHRP : Osong Public Health and Research Perspectives