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  • 1
    In: Current Alzheimer Research, Bentham Science Publishers Ltd., Vol. 19, No. 1 ( 2022-01), p. 84-93
    Abstract: Alzheimer's disease is a progressive neurodegenerative disorder characterized by memory loss and cognitive impairment. The diagnosis of Alzheimer's disease according to symptomatic events is still a puzzling task. Developing a biomarker-based, low-cost, and high-throughput test, readily applicable in clinical laboratories, dramatically impacts the rapid and reliable detection of the disease. Objective: This study aimed to develop an accurate, sensitive, and reliable screening tool for diagnosing Alzheimer's disease, which can significantly reduce the cost and time of existing methods. Methods: We have employed a MALDI-TOF-MS-based methodology combined with a microaffinity chromatography enrichment approach using affinity capture resins to determine serum kappa (κ) and lambda (λ) light chain levels in control and patients with AD. Results: We observed a statistically significant difference in the kappa light chain over lambda light chain (κLC/λLC) ratios between patients with AD and controls (% 95 CI: -0.547 to -0.269, p 〈 0.001). Our method demonstrated higher sensitivity (100.00%) and specificity (71.43%) for discrimination between AD and controls. Conclusion: We have developed a high-throughput screening test with a novel sample enrichment method for determining κLC/λLC ratios associated with AD diagnosis. Following further validation, we believe our test has a potential for clinical laboratories.
    Type of Medium: Online Resource
    ISSN: 1567-2050
    Language: English
    Publisher: Bentham Science Publishers Ltd.
    Publication Date: 2022
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  • 2
    Online Resource
    Online Resource
    Editorial Committee of Annals of Thoracic and Cardiovascular Surgery ; 2019
    In:  Annals of Thoracic and Cardiovascular Surgery Vol. 25, No. 1 ( 2019), p. 10-17
    In: Annals of Thoracic and Cardiovascular Surgery, Editorial Committee of Annals of Thoracic and Cardiovascular Surgery, Vol. 25, No. 1 ( 2019), p. 10-17
    Type of Medium: Online Resource
    ISSN: 1341-1098 , 2186-1005
    Language: English
    Publisher: Editorial Committee of Annals of Thoracic and Cardiovascular Surgery
    Publication Date: 2019
    detail.hit.zdb_id: 2177925-9
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  • 3
    In: Turkish Journal of Biochemistry, Walter de Gruyter GmbH, Vol. 47, No. 6 ( 2022-12-28), p. 704-709
    Abstract: This study aimed to evaluate the effect size of each parameter used in the first trimester Down syndrome (DS) risk analyses by using multiple regression analysis techniques. Methods This data mining study included data of 44,260 pregnant women screened at the Acibadem Labmed laboratories from 2010 to 2019. In this study, risk was calculated using the PRISCA software on the basis of nuchal translucency (NT), crown-rump length measurement, in vitro fertilization application, diabetes mellitus, Down syndrome story, smoking, maternal age, and the level of maternal serum biochemistry markers including pregnancy-associated plasma protein-A (PAPP-A) and free beta-human chorionic gonadotropin (hCGβ). Results Forty-four thousand two hundred sixty risk analysis patients result data were re-investigate, and 851 (1.93%) risk analysis results were found as positive. PAPP-A 747 (CI%, 476–1,170) times, NT value 512 (CI%, 343–764) times, DS story 21 times (CI%, 6.7–63.2) and hCGβ value 7.01 (CI%, 6.31–7.79) times affect the combined first-trimester risk analysis results. Conclusions We have suggested that those accurate PAPP-A levels and NT levels evaluation are the most critical point of combined risk analysis and that the risk of free hCGβ levels after PAPP-A is essential as a biochemical test.
    Type of Medium: Online Resource
    ISSN: 1303-829X
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 2244112-8
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  • 4
    Online Resource
    Online Resource
    Centre for Evaluation in Education and Science (CEON/CEES) ; 2022
    In:  Journal of Medical Biochemistry Vol. 41, No. 1 ( 2022), p. 1-13
    In: Journal of Medical Biochemistry, Centre for Evaluation in Education and Science (CEON/CEES), Vol. 41, No. 1 ( 2022), p. 1-13
    Abstract: Background: Iron deficiency anemia (IDA) is the most common type of anemia worldwide and has many adverse effects on life quality. This meta-analysis study aims to show that reticulocyte hemoglobin content (CHr) is more effective than routinely used parameters in the diagnosis of IDA. Methods: Comprehensive and systematic research was done using international databases including PubMed, Web of Science, Cochrane Library, Science Direct, and Google Scholar, which contain all articles published on IDA until December 29, 2020. Seventeen articles were included in the meta-analysis. Results: The analyses found the Cohen's deffect size (Standardized Mean Difference) values of the parameters. Accordingly, CHr is 2.84 (95% CI 2.36 to 3.31), mean corpus volume (MCV) is 2.46 (95% CI 1.97 to 2.95), ferritin is 2.37 (95% CI 1.63 to 3.11), and transferrin saturation (TSAT) is 3.76 (95% CI 2.14 to 5.38). To diagnose IDA, the sensitivity value of the CHr concentration was found as 83.5% (95% CI 76.1 to 89.8), specificity value to be 91.8% (95% CI 85.5 to 96.4), and mean cut-off value as 28.2 pg. Conclusions: The results of our study reveal the findings that CHr is a better biomarker than MCV and ferritin used in determining IDA, and its efficacy is lower than TSAT. It is very important to use it routinely for the pre-diagnosis of IDA, which is very important for public health. The groups in the study are heterogeneous but contain bias. Therefore, meta-analyses of studies with less heterogeneity of CHr are needed.
    Type of Medium: Online Resource
    ISSN: 1452-8258 , 1452-8266
    Uniform Title: Efekat sadržaja retikulocitnog hemoglobina na dijagnostikovanje anemije usled nedostatka gvožđa - meta-analiza
    Language: English
    Publisher: Centre for Evaluation in Education and Science (CEON/CEES)
    Publication Date: 2022
    detail.hit.zdb_id: 2405112-3
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  • 5
    In: Clinical Chemistry, Oxford University Press (OUP), Vol. 69, No. 9 ( 2023-09-01), p. 1009-1030
    Abstract: Personalized reference intervals (prRIs) have the potential to improve individual patient follow-up as compared to population-based reference intervals (popRI). In this study, we estimated popRI and prRIs for 48 clinical chemistry and hematology measurands using samples from the same reference individuals and explored the effect of using group-based and individually based biological variation (BV) estimates to derive prRIs. Methods 143 individuals (median age 28 years) were included in the study and had fasting blood samples collected once. From this population, 41 randomly selected subjects had samples collected weekly for 5 weeks. PopRIs were estimated according to Clinical Laboratory Standards Institute EP28 and within-subject BV (CVI) were estimated by CV-ANOVA. Data were assessed for trends and outliers prior to calculation of individual prRIs, based on estimates of (a) within-person BV (CVP), (b) CVI derived in this study, and (c) publically available CVI estimates. Results For most measurands, the individual prRI ranges were smaller than the popRI range, but overall about half the study participants had a prRI wider than the popRI for 5 or more out of 48 measurands. The dispersion of prRIs based on CVP was wider than that of prRIs based on CVI. Conclusion The prRIs derived in our study varied significantly between different individuals, especially if based on CVP. Our results highlight the limitations of popRIs in interpreting test results of individual patients. If sufficient data from a steady-state situation are available, using prRI based on CVP estimates will provide a RI most specific for an individual patient.
    Type of Medium: Online Resource
    ISSN: 0009-9147 , 1530-8561
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
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  • 6
    Online Resource
    Online Resource
    Walter de Gruyter GmbH ; 2022
    In:  Clinical Chemistry and Laboratory Medicine (CCLM) Vol. 60, No. 4 ( 2022-03-28), p. 629-635
    In: Clinical Chemistry and Laboratory Medicine (CCLM), Walter de Gruyter GmbH, Vol. 60, No. 4 ( 2022-03-28), p. 629-635
    Abstract: For many measurands, physicians depend on population-based reference intervals (popRI), when assessing laboratory test results. The availability of personalized reference intervals (prRI) may provide a means to improve the interpretation of laboratory test results for an individual. prRI can be calculated using estimates of biological and analytical variation and previous test results obtained in a steady-state situation. In this study, we aim to outline statistical approaches and considerations required when establishing and implementing prRI in clinical practice. Data quality assessment, including analysis for outliers and trends, is required prior to using previous test results to estimate the homeostatic set point. To calculate the prRI limits, two different statistical models based on ‘prediction intervals’ can be applied. The first model utilizes estimates of ‘within-person biological variation’ which are based on an individual’s own data. This model requires a minimum of five previous test results to generate the prRI. The second model is based on estimates of ‘within-subject biological variation’, which represents an average estimate for a population and can be found, for most measurands, in the EFLM Biological Variation Database. This model can be applied also when there are lower numbers of previous test results available. The prRI offers physicians the opportunity to improve interpretation of individuals’ test results, though studies are required to demonstrate if using prRI leads to better clinical outcomes. We recommend that both popRIs and prRIs are included in laboratory reports to aid in evaluating laboratory test results in the follow-up of patients.
    Type of Medium: Online Resource
    ISSN: 1434-6621 , 1437-4331
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 1492732-9
    SSG: 15,3
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  • 7
    In: Journal of Research in Pharmacy, ASOS Yayinevi, Vol. 27(4), No. 27(4) ( 2023), p. 1673-1686
    Type of Medium: Online Resource
    ISSN: 2630-6344
    Language: Unknown
    Publisher: ASOS Yayinevi
    Publication Date: 2023
    detail.hit.zdb_id: 3007679-1
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  • 8
    Online Resource
    Online Resource
    Elsevier BV ; 2023
    In:  Hematology, Transfusion and Cell Therapy Vol. 45 ( 2023-10), p. S26-
    In: Hematology, Transfusion and Cell Therapy, Elsevier BV, Vol. 45 ( 2023-10), p. S26-
    Type of Medium: Online Resource
    ISSN: 2531-1379
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 2945333-1
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  • 9
    In: Clinical Chemistry, Oxford University Press (OUP), Vol. 67, No. 2 ( 2021-01-30), p. 374-384
    Abstract: The concept of personalized medicine has received widespread attention in the last decade. However, personalized medicine depends on correct diagnosis and monitoring of patients, for which personalized reference intervals for laboratory tests may be beneficial. In this study, we propose a simple model to generate personalized reference intervals based on historical, previously analyzed results, and data on analytical and within-subject biological variation. Methods A model using estimates of analytical and within-subject biological variation and previous test results was developed. We modeled the effect of adding an increasing number of measurement results on the estimation of the personal reference interval. We then used laboratory test results from 784 adult patients ( & gt;18 years) considered to be in a steady-state condition to calculate personalized reference intervals for 27 commonly requested clinical chemistry and hematology measurands. Results Increasing the number of measurements had little impact on the total variation around the true homeostatic set point and using ≥3 previous measurement results delivered robust personalized reference intervals. The personalized reference intervals of the study participants were different from one another and, as expected, located within the common reference interval. However, in general they made up only a small proportion of the population-based reference interval. Conclusions Our study shows that, if using results from patients in steady state, only a few previous test results and reliable estimates of within-subject biological variation are required to calculate personalized reference intervals. This may be highly valuable for diagnosing patients as well as for follow-up and treatment.
    Type of Medium: Online Resource
    ISSN: 0009-9147 , 1530-8561
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
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  • 10
    In: Frontiers in Pediatrics, Frontiers Media SA, Vol. 9 ( 2021-4-27)
    Abstract: Introduction: Restricted or enhanced intrauterine growth is associated with elevated risks of early and late metabolic problems in humans. Metabolomics based on amino acid and carnitine/acylcarnitine profile may have a role in fetal and early postnatal energy metabolism. In this study, the relationship between intrauterine growth status and early metabolomics profile was evaluated. Materials and Methods: A single-center retrospective cohort study was conducted. Three hundred and sixty-one newborn infants were enrolled into the study, and they were grouped according to their birth weight percentile as small for gestational age (SGA, n = 69), appropriate for gestational age (AGA, n = 168), and large for gestational age (LGA, n = 124) infants. In all infants, amino acid and carnitine/acylcarnitine profiles with liquid chromatography-tandem mass spectrometry (LC-MS/MS) were recorded and compared between groups. Results: LGA infants had higher levels of glutamic acid and lower levels of ornithine, alanine, and glycine ( p & lt; 0.05) when compared with AGA infants. SGA infants had higher levels of alanine and glycine levels when compared with AGA and LGA infants. Total carnitine, C0, C2, C4, C5, C10:1, C18:1, C18:2, C14-OH, and C18:2-OH levels were significantly higher and C3 and C6-DC levels were lower in SGA infants ( p & lt; 0.05). LGA infants had higher C3 and C5:1 levels and lower C18:2 and C16:1-OH levels ( p & lt; 0.05). There were positive correlations between free carnitine and phenylalanine, arginine, methionine, alanine, and glycine levels ( p & lt; 0.05). Also, a positive correlation between ponderal index and C3, C5-DC, C14, and C14:1 and a negative correlation between ponderal index and ornithine, alanine, glycine, C16:1-OH, and C18:2 were shown. Conclusion: We demonstrated differences in metabolomics possibly reflecting the energy metabolism in newborn infants with intrauterine growth problems in the early postnatal period. These differences might be the footprints of metabolic disturbances in future adulthood.
    Type of Medium: Online Resource
    ISSN: 2296-2360
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2711999-3
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