Abstract Objectives This study aims to evaluate the performance characteristics of the Alinity HQ hematology analyzer in a routine laboratory setting. Methods In the study, precision (short-term and long-term precision), accuracy (method comparison with Abbott Cell Dyn Ruby and estimation of bias), confirmation of a background (Limit of Blank, LoB), and carry-over were used to evaluate the performance of Alinity HQ as recommended by ICSH, CLSI guidelines EP15-A3, EP09, EP17A2, and H26-A2. Acceptance criteria were based on manufacturer technical specifications and the EFLM Biological Variation Database. Results According to the short-term precision results, except for mean corpuscular volume (MCV) and mean corpuscular hemoglobin concentration (MCHC), all measurements exhibited coefficient variations (CV) lower than their verification limits. Basophil, eosinophil, and monocyte counts, as well as mean corpuscular hemoglobin (MCH), MCHC, and red cell distribution width standard deviation (RDW-SD), did not meet the allowable imprecision criteria for the long-term precision study. The estimated bias for all analytes was within verification limits. However, the method comparison study showed concentration-dependent variations for MCHC, MCH, and mean platelet volume (MPV) parameters. Furthermore, the correlation of parameters between Alinity HQ and Cell Dyn Ruby ranged from 0.46 to 1.00. The LoB and carry-over studies demonstrated satisfactory performance for the Alinity HQ analyzer. Conclusions Although some parameters had higher CVs than expected and concentration-dependent bias, the overall analytical performance of Alinity HQ was found to be satisfactory. Alinity HQ is an accurate, highly precise analyzer with good analytical performance, suitable for high-volume laboratories.
{"title":"User verification of Abbott Alinity HQ hematology analyzer","authors":"Nilufer Bayraktar, D. Topcu","doi":"10.1515/tjb-2023-0185","DOIUrl":"https://doi.org/10.1515/tjb-2023-0185","url":null,"abstract":"Abstract Objectives This study aims to evaluate the performance characteristics of the Alinity HQ hematology analyzer in a routine laboratory setting. Methods In the study, precision (short-term and long-term precision), accuracy (method comparison with Abbott Cell Dyn Ruby and estimation of bias), confirmation of a background (Limit of Blank, LoB), and carry-over were used to evaluate the performance of Alinity HQ as recommended by ICSH, CLSI guidelines EP15-A3, EP09, EP17A2, and H26-A2. Acceptance criteria were based on manufacturer technical specifications and the EFLM Biological Variation Database. Results According to the short-term precision results, except for mean corpuscular volume (MCV) and mean corpuscular hemoglobin concentration (MCHC), all measurements exhibited coefficient variations (CV) lower than their verification limits. Basophil, eosinophil, and monocyte counts, as well as mean corpuscular hemoglobin (MCH), MCHC, and red cell distribution width standard deviation (RDW-SD), did not meet the allowable imprecision criteria for the long-term precision study. The estimated bias for all analytes was within verification limits. However, the method comparison study showed concentration-dependent variations for MCHC, MCH, and mean platelet volume (MPV) parameters. Furthermore, the correlation of parameters between Alinity HQ and Cell Dyn Ruby ranged from 0.46 to 1.00. The LoB and carry-over studies demonstrated satisfactory performance for the Alinity HQ analyzer. Conclusions Although some parameters had higher CVs than expected and concentration-dependent bias, the overall analytical performance of Alinity HQ was found to be satisfactory. Alinity HQ is an accurate, highly precise analyzer with good analytical performance, suitable for high-volume laboratories.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"10 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138584519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhengguo Qiu, Xiaqing Zhang, Ni Jia, Xu Li, Rui Li, S. Gopinath, Mingna Jiao
Abstract Objectives Alzheimer’s disease (AD) is an irreversible and progressive neurogenerative disorder, which affects the learning part of brain. It mainly affects the aged population and becoming a global health issue, expecting to increase more in near future. Late diagnosis of AD worsens the situation and difficult to treat the patient. Various biosensing techniques with suitable biomarkers have been developed by researchers to diagnose the earlier stages of AD. Methods This research was focused to develop a highly sensitive zeolite-dual probe-modified impedance biosensor for identifying AD biomarker, Aβ Oligomer (AβO). The sensing surface was initially modified with zeolite through the chemical linker and then a dual probe of anti-AβO aptamer and anti-AβO antibody were attached to the surface of the zeolite. Results On these dual probe-modified surfaces, AβO was quantified to diagnose AD. Further, AβO spiked artificial CSF was identified by dual probes without any interference, indicating the selective identification of AβO. In addition, control experiments with non-immune, complementary, and control proteins failed to show the increment of responses, confirming the specific detection of AβO. Conclusions This zeolite-dual probe-modified biosensor helps to lower the limit of detection to 0.1 pM and diagnose AD at the earlier stages.
{"title":"Zeolite nanomaterial-modified dielectrode oxide surface for diagnosing Alzheimer’s disease by dual molecular probed impedance sensor","authors":"Zhengguo Qiu, Xiaqing Zhang, Ni Jia, Xu Li, Rui Li, S. Gopinath, Mingna Jiao","doi":"10.1515/tjb-2023-0079","DOIUrl":"https://doi.org/10.1515/tjb-2023-0079","url":null,"abstract":"Abstract Objectives Alzheimer’s disease (AD) is an irreversible and progressive neurogenerative disorder, which affects the learning part of brain. It mainly affects the aged population and becoming a global health issue, expecting to increase more in near future. Late diagnosis of AD worsens the situation and difficult to treat the patient. Various biosensing techniques with suitable biomarkers have been developed by researchers to diagnose the earlier stages of AD. Methods This research was focused to develop a highly sensitive zeolite-dual probe-modified impedance biosensor for identifying AD biomarker, Aβ Oligomer (AβO). The sensing surface was initially modified with zeolite through the chemical linker and then a dual probe of anti-AβO aptamer and anti-AβO antibody were attached to the surface of the zeolite. Results On these dual probe-modified surfaces, AβO was quantified to diagnose AD. Further, AβO spiked artificial CSF was identified by dual probes without any interference, indicating the selective identification of AβO. In addition, control experiments with non-immune, complementary, and control proteins failed to show the increment of responses, confirming the specific detection of AβO. Conclusions This zeolite-dual probe-modified biosensor helps to lower the limit of detection to 0.1 pM and diagnose AD at the earlier stages.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"60 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138592751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract This paper provides information on the significance of environmental sustainability and the potential benefits of implementing green laboratory processes. Sustainability is a broad concept that includes goals such as conservation of natural resources, energy efficiency, waste management, and reducing environmental footprints. Green laboratories strive to minimise environmental footprints by embedding sustainability principles into their everyday practices. This involves improvements in energy consumption, water usage, chemical waste reduction, and recycling, ultimately, as well as lower waste disposal costs. Implementing green laboratory approaches provides many benefits, such as a smaller environmental footprint, increased energy efficiency, water conservation, and cost savings. Moreover, a rational test ordering process can effectively contribute to reducing environmental impacts in medical laboratories. Rational test ordering provides cost-effectiveness and reduces the carbon footprint. Establishing a green and sustainable laboratory culture in medical laboratories requires a permanent organisation in where all personnel participate. Training of the hospital management teams, clinicians, and laboratory professionals is a vital point. Methodology and quality indicators should be defined by international and national laboratory associations within the framework of a green and sustainable laboratory plan, and data should be collected. In conclusion, adopting green laboratory practices reduces environmental impacts, saves costs, and accelerates innovation processes. Setting quality targets and rational test ordering practices are also essential for sustainability. Applying sustainability principles in laboratory workplaces is an important step towards protecting the environment and leaving a more liveable world for future generations.
{"title":"Forward steps in green medical laboratory practices for a sustainable future","authors":"Medine Alpdemir, E. F. Yurt, Mehmet Şeneş","doi":"10.1515/tjb-2023-0186","DOIUrl":"https://doi.org/10.1515/tjb-2023-0186","url":null,"abstract":"Abstract This paper provides information on the significance of environmental sustainability and the potential benefits of implementing green laboratory processes. Sustainability is a broad concept that includes goals such as conservation of natural resources, energy efficiency, waste management, and reducing environmental footprints. Green laboratories strive to minimise environmental footprints by embedding sustainability principles into their everyday practices. This involves improvements in energy consumption, water usage, chemical waste reduction, and recycling, ultimately, as well as lower waste disposal costs. Implementing green laboratory approaches provides many benefits, such as a smaller environmental footprint, increased energy efficiency, water conservation, and cost savings. Moreover, a rational test ordering process can effectively contribute to reducing environmental impacts in medical laboratories. Rational test ordering provides cost-effectiveness and reduces the carbon footprint. Establishing a green and sustainable laboratory culture in medical laboratories requires a permanent organisation in where all personnel participate. Training of the hospital management teams, clinicians, and laboratory professionals is a vital point. Methodology and quality indicators should be defined by international and national laboratory associations within the framework of a green and sustainable laboratory plan, and data should be collected. In conclusion, adopting green laboratory practices reduces environmental impacts, saves costs, and accelerates innovation processes. Setting quality targets and rational test ordering practices are also essential for sustainability. Applying sustainability principles in laboratory workplaces is an important step towards protecting the environment and leaving a more liveable world for future generations.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"58 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138593674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Objectives Evaluation of inflammation and liver fibrosis by using well established indices of serum biomarkers in hepatitis caused by viral agents has been reported in recent studies. But the diagnostic performance and prediction of liver damage in S. capitata infections has not yet been reported. The aim of the current study was to investigate the levels of systemic inflammatory indices based on liver enzymes and platelets, their effectiveness in detecting S. capitata infection and its degree of damage to the liver. Methods We investigated the diagnostic performance of seven serum inflammation and fibrosis markers as fibrosis-4 (FIB-4) score, AST/platelet ratio (APRI), AST/ALT ratio (De Ritis ratio), albumin/ALP ratio (AAR), platelet/albumin ratio (PAR), pan-immune-inflammation value (PIV) and GGT/platelet ratio (GPR) in total 62 S. capitata infected patients using cut-offs through receiver operating characteristics (ROC) analysis. Results Area under the curve of FIB-4 score was statistically significantly higher than ones of De Ritis ratio, AAR, PIV, APR, GPR, APRI index in determining liver damage in patients with S. capitata. The optimal cut off point for FIB-4 score was defined that the levels above 27.57 for FIB-4 score may be used for the diagnosis of S. capitata with 89 % of sensitivity and 91 % of specificity. Conclusions Serum fibrosis and immune-inflammation indices are independent, useful predictors, and FIB4 score is superior to the others in the diagnosis of inflammation and liver damage in S. capitata. These biomarkers may also be useful to specialists to follow up on the medical processes of these patients.
{"title":"Evaluation of systemic inflammatory and fibrosis indices in Saprochaete capitata infections: a retrospective case-control study","authors":"Nuri Cakir","doi":"10.1515/tjb-2023-0228","DOIUrl":"https://doi.org/10.1515/tjb-2023-0228","url":null,"abstract":"Abstract Objectives Evaluation of inflammation and liver fibrosis by using well established indices of serum biomarkers in hepatitis caused by viral agents has been reported in recent studies. But the diagnostic performance and prediction of liver damage in S. capitata infections has not yet been reported. The aim of the current study was to investigate the levels of systemic inflammatory indices based on liver enzymes and platelets, their effectiveness in detecting S. capitata infection and its degree of damage to the liver. Methods We investigated the diagnostic performance of seven serum inflammation and fibrosis markers as fibrosis-4 (FIB-4) score, AST/platelet ratio (APRI), AST/ALT ratio (De Ritis ratio), albumin/ALP ratio (AAR), platelet/albumin ratio (PAR), pan-immune-inflammation value (PIV) and GGT/platelet ratio (GPR) in total 62 S. capitata infected patients using cut-offs through receiver operating characteristics (ROC) analysis. Results Area under the curve of FIB-4 score was statistically significantly higher than ones of De Ritis ratio, AAR, PIV, APR, GPR, APRI index in determining liver damage in patients with S. capitata. The optimal cut off point for FIB-4 score was defined that the levels above 27.57 for FIB-4 score may be used for the diagnosis of S. capitata with 89 % of sensitivity and 91 % of specificity. Conclusions Serum fibrosis and immune-inflammation indices are independent, useful predictors, and FIB4 score is superior to the others in the diagnosis of inflammation and liver damage in S. capitata. These biomarkers may also be useful to specialists to follow up on the medical processes of these patients.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"132 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138599103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. Sağın, Ali Burak Özkaya, F. Tengiz, Ö. G. Geyik, Caner Geyik
Abstract This paper discusses the integration of artificial intelligence (AI) tools in education, delineating their potential to transform pedagogical practices alongside the challenges they present. Generative AI models like ChatGPT, had a disruptive impact on teaching and learning, due to their ability to create text, images, and sound, revolutionizing educational content creation and modification. However, nowadays the educational community is polarized, with some embracing AI for its accessibility and efficiency thus advocating it as an indispensable tool, while others cautioning against risks to academic integrity and intellectual development. This document is designed to raise awareness about AI tools and provide some examples of how they can be used to improve education and learning. From an educator’s perspective, AI is an asset for curriculum development, course material preparation, instructional design and student assessment, while reducing bias and workload. For students, AI tools offer personalized learning experiences, timely feedback, and support in various academic activities. The Turkish Biochemical Society (TBS) Academy recommends educators to embrace and utilize AI tools to enhance educational processes, and engage in peer learning for better adaptation while maintaining a critical perspective on their utility and limitations. The transfer of AI knowledge and methods to the teaching experiences should complement and not replace the educator’s creativity and critical thinking. The paper advocates for an informed embrace of AI, AI fluency among educators and students, ethical application of AI in academic settings, and continuous engagement with the evolving AI technologies, ensuring that AI tools are used to augment critical thinking and contribute positively to education and society.
{"title":"Current evaluation and recommendations for the use of artificial intelligence tools in education","authors":"F. Sağın, Ali Burak Özkaya, F. Tengiz, Ö. G. Geyik, Caner Geyik","doi":"10.1515/tjb-2023-0254","DOIUrl":"https://doi.org/10.1515/tjb-2023-0254","url":null,"abstract":"Abstract This paper discusses the integration of artificial intelligence (AI) tools in education, delineating their potential to transform pedagogical practices alongside the challenges they present. Generative AI models like ChatGPT, had a disruptive impact on teaching and learning, due to their ability to create text, images, and sound, revolutionizing educational content creation and modification. However, nowadays the educational community is polarized, with some embracing AI for its accessibility and efficiency thus advocating it as an indispensable tool, while others cautioning against risks to academic integrity and intellectual development. This document is designed to raise awareness about AI tools and provide some examples of how they can be used to improve education and learning. From an educator’s perspective, AI is an asset for curriculum development, course material preparation, instructional design and student assessment, while reducing bias and workload. For students, AI tools offer personalized learning experiences, timely feedback, and support in various academic activities. The Turkish Biochemical Society (TBS) Academy recommends educators to embrace and utilize AI tools to enhance educational processes, and engage in peer learning for better adaptation while maintaining a critical perspective on their utility and limitations. The transfer of AI knowledge and methods to the teaching experiences should complement and not replace the educator’s creativity and critical thinking. The paper advocates for an informed embrace of AI, AI fluency among educators and students, ethical application of AI in academic settings, and continuous engagement with the evolving AI technologies, ensuring that AI tools are used to augment critical thinking and contribute positively to education and society.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"93 2","pages":"620 - 625"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139193058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Objectives This study aims to investigate how the fibrosis index based on four factors (FIB-4) is altered in preeclampsia and whether the FIB-4 score differs with respect to the severity of preeclampsia and the presence of fetal and maternal adverse outcomes. Methods One hundred and forty-two patients with mild preeclampsia (34.6 %), one hundred and ninety patients who have preeclampsia with severe features (46.2 %), and 79 healthy pregnant controls (19.2 %) were included in the study. Fetal adverse outcomes occurred in 40.1 %, and maternal adverse outcomes only appeared as neurological symptoms in 20.5 % of the preeclampsia patients. Results Healthy controls had significantly lower FIB-4 scores than women with mild preeclampsia, and women with mild preeclampsia had significantly lower FIB-4 scores than women who had preeclampsia with severe features (respectively 0.58±0.29 vs. 0.68±0.44 vs. 1.93±4.92, p=0.003). The FIB-4 scores of preeclampsia patients with neurologic symptoms and preeclampsia patients with fetal adverse events were found to be similar to preeclampsia patients who did not have these problems. In ROC curve analysis, FIB-4 scores ≥0.758 indicated the presence of neurologic symptoms in preeclampsia patients, with a sensitivity of 0.66 and a specificity of 0.66 (p=0.004). Conclusions To the best of our knowledge, this is the first study to establish the FIB-4 scores of preeclampsia patients and determine if FIB-4 scores change with respect to maternal and fetal adverse outcomes. Our findings suggest that FIB-4 might be used to predict pregnancies destined to be complicated with preeclampsia and preeclampsia patients who are more likely to experience maternal and fetal adverse outcomes.
{"title":"FIB4 score is increased in severe preeclampsia","authors":"S. Özer, Hakan Güneş, A. Özer","doi":"10.1515/tjb-2022-0214","DOIUrl":"https://doi.org/10.1515/tjb-2022-0214","url":null,"abstract":"Abstract Objectives This study aims to investigate how the fibrosis index based on four factors (FIB-4) is altered in preeclampsia and whether the FIB-4 score differs with respect to the severity of preeclampsia and the presence of fetal and maternal adverse outcomes. Methods One hundred and forty-two patients with mild preeclampsia (34.6 %), one hundred and ninety patients who have preeclampsia with severe features (46.2 %), and 79 healthy pregnant controls (19.2 %) were included in the study. Fetal adverse outcomes occurred in 40.1 %, and maternal adverse outcomes only appeared as neurological symptoms in 20.5 % of the preeclampsia patients. Results Healthy controls had significantly lower FIB-4 scores than women with mild preeclampsia, and women with mild preeclampsia had significantly lower FIB-4 scores than women who had preeclampsia with severe features (respectively 0.58±0.29 vs. 0.68±0.44 vs. 1.93±4.92, p=0.003). The FIB-4 scores of preeclampsia patients with neurologic symptoms and preeclampsia patients with fetal adverse events were found to be similar to preeclampsia patients who did not have these problems. In ROC curve analysis, FIB-4 scores ≥0.758 indicated the presence of neurologic symptoms in preeclampsia patients, with a sensitivity of 0.66 and a specificity of 0.66 (p=0.004). Conclusions To the best of our knowledge, this is the first study to establish the FIB-4 scores of preeclampsia patients and determine if FIB-4 scores change with respect to maternal and fetal adverse outcomes. Our findings suggest that FIB-4 might be used to predict pregnancies destined to be complicated with preeclampsia and preeclampsia patients who are more likely to experience maternal and fetal adverse outcomes.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139232187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammed Seyithanoğlu, Hilmi İsmet Tuncer, F. Tolun, Metin Kilinç
Abstract Objectives Complete blood count (CBC) is performed using automated hematology analyzers. It is important that CBC results are comparable, reproducible, and reliable. In this study, our aim is to compare the results of Sysmex XN-1000 and Dirui BF-7200 hematology analyzers. Methods Patient samples randomly selected from the routine workflow for each instrument were measured 20 consecutive times to assess reproducibility. The mean, standard deviation, and coefficient of variation (CV%) were calculated for each hematological parameter. A comparison of results from the evaluated Dirui BF-7200 system with those from the current hematology analyzer Sysmex XN-1000 system was made for all of the samples included in the study. The compatibility between the parameters was evaluated using Passing–Bablok and Bland–Altman analyses. Results The within-run CV% values were outside the desirable biological variation database (European Federation of Clinical Chemistry and Laboratory Medicine) specification for CV% for eosinophil, basophil, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, mean platelet volume and platelet distribution width expressed as standard deviation in the Sysmex XN-1000 instrument and eosinophil, basophil, hematocrit and indexes of red blood cell and platelet in the Dirui BF-7200 instrument. When the Bland–Altman and Passing–Bablok analysis results were evaluated together, most parameters showed poor agreement; only white blood cells and lymphocytes showed good agreement between the two instruments. Conclusions As there is variability between results from different hematology analyzers, we recommend analyzing patient samples in the same laboratory using the same analyzer to avoid different results that could be misinterpreted.
{"title":"Comparison of results of two hematological analyzer systems: Dirui BF-7200 and Sysmex XN-1000","authors":"Muhammed Seyithanoğlu, Hilmi İsmet Tuncer, F. Tolun, Metin Kilinç","doi":"10.1515/tjb-2023-0184","DOIUrl":"https://doi.org/10.1515/tjb-2023-0184","url":null,"abstract":"Abstract Objectives Complete blood count (CBC) is performed using automated hematology analyzers. It is important that CBC results are comparable, reproducible, and reliable. In this study, our aim is to compare the results of Sysmex XN-1000 and Dirui BF-7200 hematology analyzers. Methods Patient samples randomly selected from the routine workflow for each instrument were measured 20 consecutive times to assess reproducibility. The mean, standard deviation, and coefficient of variation (CV%) were calculated for each hematological parameter. A comparison of results from the evaluated Dirui BF-7200 system with those from the current hematology analyzer Sysmex XN-1000 system was made for all of the samples included in the study. The compatibility between the parameters was evaluated using Passing–Bablok and Bland–Altman analyses. Results The within-run CV% values were outside the desirable biological variation database (European Federation of Clinical Chemistry and Laboratory Medicine) specification for CV% for eosinophil, basophil, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, mean platelet volume and platelet distribution width expressed as standard deviation in the Sysmex XN-1000 instrument and eosinophil, basophil, hematocrit and indexes of red blood cell and platelet in the Dirui BF-7200 instrument. When the Bland–Altman and Passing–Bablok analysis results were evaluated together, most parameters showed poor agreement; only white blood cells and lymphocytes showed good agreement between the two instruments. Conclusions As there is variability between results from different hematology analyzers, we recommend analyzing patient samples in the same laboratory using the same analyzer to avoid different results that could be misinterpreted.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"226 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139234496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Boonyanuch Chutvanichkul, P. Vattanaviboon, Sumana Mas-oodi, Y. U-pratya, Wanchai Wanachiwanawin
Abstract Objectives Not only do transfusion-dependent thalassemia (TDT) patients have a risk of clinical consequences arising from iron overload, non-transfusion-dependent thalassemia (NTDT) patients may encounter it also. In this study, we demonstrated the usefulness of intra-erythrocyte labile iron pool (LIP) measurement in NTDT patients with HbE/β-thalassemia in revealing a concealed iron overload and the resultant oxidative cell damage. Methods LIP and ferritin levels were assayed in 20 HbE/β-thalassemia patients, comprising 10 NTDT and 10 TDT patients and 10 healthy individuals. Erythrocyte oxidative stress parameters (intraerythrocyte reactive oxygen species (ROS) levels, numbers of erythrocyte vesicles, and cell apoptosis) were also determined and their correlations to LIP and ferritin levels were analyzed. Results LIP levels (based on different mean fluorescence intensity (MFI) values obtained by flow cytometry) were high in both the NTDT (54 [42–90]) and TDT (71 [68–77]) patients compared to the healthy individuals (43 [31–61]). The ferritin level observed in the NTDT group (2,149 [781–4,071] ng/mL) was lower than that of the TDT group (4,885 [2,343–7,826] ng/mL). The LIP level was significantly correlated with the NTDT patients’ age and all oxidative stress parameters, but the ferritin level was not. Correlation analysis predicted that NTDT patients without receiving any therapy aged 32.5 years old or over are likely at risk of iron overload status and oxidative cell damage. Conclusions The results indicate that LIP may be a helpful alternative parameter for defining the risk of iron overload.
{"title":"Erythrocyte labile iron pool indicating concealed iron overload in non-transfusion-dependent β-thalassemia","authors":"Boonyanuch Chutvanichkul, P. Vattanaviboon, Sumana Mas-oodi, Y. U-pratya, Wanchai Wanachiwanawin","doi":"10.1515/tjb-2023-0116","DOIUrl":"https://doi.org/10.1515/tjb-2023-0116","url":null,"abstract":"Abstract Objectives Not only do transfusion-dependent thalassemia (TDT) patients have a risk of clinical consequences arising from iron overload, non-transfusion-dependent thalassemia (NTDT) patients may encounter it also. In this study, we demonstrated the usefulness of intra-erythrocyte labile iron pool (LIP) measurement in NTDT patients with HbE/β-thalassemia in revealing a concealed iron overload and the resultant oxidative cell damage. Methods LIP and ferritin levels were assayed in 20 HbE/β-thalassemia patients, comprising 10 NTDT and 10 TDT patients and 10 healthy individuals. Erythrocyte oxidative stress parameters (intraerythrocyte reactive oxygen species (ROS) levels, numbers of erythrocyte vesicles, and cell apoptosis) were also determined and their correlations to LIP and ferritin levels were analyzed. Results LIP levels (based on different mean fluorescence intensity (MFI) values obtained by flow cytometry) were high in both the NTDT (54 [42–90]) and TDT (71 [68–77]) patients compared to the healthy individuals (43 [31–61]). The ferritin level observed in the NTDT group (2,149 [781–4,071] ng/mL) was lower than that of the TDT group (4,885 [2,343–7,826] ng/mL). The LIP level was significantly correlated with the NTDT patients’ age and all oxidative stress parameters, but the ferritin level was not. Correlation analysis predicted that NTDT patients without receiving any therapy aged 32.5 years old or over are likely at risk of iron overload status and oxidative cell damage. Conclusions The results indicate that LIP may be a helpful alternative parameter for defining the risk of iron overload.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139253583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ferhat Demirci, M. Emeç, Ozlem Gursoy Doruk, Murat Ormen, Pınar Akan, Mehmet Hilal Ozcanhan
Abstract Objectives Determining low-density lipoprotein (LDL) is a costly and time-consuming operation, but triglyceride value above 400 (TG>400) always requires LDL measurement. Obtaining a fast LDL forecast by accurate prediction can be valuable to experts. However, if a high error margin exists, LDL prediction can be critical and unusable. Our objective is LDL value and level prediction with an error less than low total acceptable error rate (% TEa). Methods Our present work used 6392 lab records to predict the patient LDL value using state-of-the-art Artificial Intelligence methods. The designed model, p-LDL-M, predicts LDL value and class with an overall average test score of 98.70 %, using custom, hyper-parameter-tuned Ensemble Machine Learning algorithm. Results The results show that using our innovative p-LDL-M is advisable for subjects with critical TG>400. Analysis proved that our model is positively affected by the Hopkins and Friedewald equations normally used for (TG≤400). The conclusion follows that the test score performance of p-LDL-M using only (TG>400) is 7.72 % inferior to the same p-LDL-M, using Hopkins and Friedewald supported data. In addition, the test score performance of the NIH-Equ-2 for (TG>400) is much inferior to p-LDL-M prediction results. Conclusions In conclusion, obtaining an accurate and fast LDL value and level forecast for people with (TG>400) using our innovative p-LDL-M is highly recommendable.
{"title":"Prediction of LDL in hypertriglyceridemic subjects using an innovative ensemble machine learning technique","authors":"Ferhat Demirci, M. Emeç, Ozlem Gursoy Doruk, Murat Ormen, Pınar Akan, Mehmet Hilal Ozcanhan","doi":"10.1515/tjb-2023-0154","DOIUrl":"https://doi.org/10.1515/tjb-2023-0154","url":null,"abstract":"Abstract Objectives Determining low-density lipoprotein (LDL) is a costly and time-consuming operation, but triglyceride value above 400 (TG>400) always requires LDL measurement. Obtaining a fast LDL forecast by accurate prediction can be valuable to experts. However, if a high error margin exists, LDL prediction can be critical and unusable. Our objective is LDL value and level prediction with an error less than low total acceptable error rate (% TEa). Methods Our present work used 6392 lab records to predict the patient LDL value using state-of-the-art Artificial Intelligence methods. The designed model, p-LDL-M, predicts LDL value and class with an overall average test score of 98.70 %, using custom, hyper-parameter-tuned Ensemble Machine Learning algorithm. Results The results show that using our innovative p-LDL-M is advisable for subjects with critical TG>400. Analysis proved that our model is positively affected by the Hopkins and Friedewald equations normally used for (TG≤400). The conclusion follows that the test score performance of p-LDL-M using only (TG>400) is 7.72 % inferior to the same p-LDL-M, using Hopkins and Friedewald supported data. In addition, the test score performance of the NIH-Equ-2 for (TG>400) is much inferior to p-LDL-M prediction results. Conclusions In conclusion, obtaining an accurate and fast LDL value and level forecast for people with (TG>400) using our innovative p-LDL-M is highly recommendable.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"79 1","pages":"641 - 652"},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139250846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Objectives Owing to its avascular nature, cartilage tissue has a restricted capacity for regeneration. These structural features make it difficult for a fully functional tissue to regenerate after damage. Therefore, studies aiming at cartilage tissue regeneration are getting quite interesting. In this study, we employed a novel approach to induce chondrogenic differentiation using a collagen mimetic peptide amphihile (PA) nanofiber. The nanofiber comprised a specific peptide sequence – glycine-phenylalanine-hydroxyproline-glycine-glutamate-arginine (GFOGER), corresponding to the α1 (I) collagen chain. This sequence was selected for its ability to mimic the structure and function of natural collagen in the extracellular matrix (ECM). This specific peptide sequence is expected to enhance the chondrogenic differentiation process by providing a more efficient and effective method for tissue engineering applications. Methods ATDC5 cells were cultured on the synthetic scaffold of collagen-mimicking PA nanofibers, facilitating adhesion, division, and chondrogenic cell differentiation. Results In our study, ATDC5 cells cultured on collagen mimetic peptide nanofiber expressed chondrogenic marker proteins, namely Collagen II and Sox9, significantly high at the 5th and 10th days compared to cells cultured on TCP in the absence of insulin as inducer. Conclusions According to our results, the collagen mimetic peptide-based scaffold supports cell growth and differentiation by mimicking the natural cell matrix.
{"title":"Enhancement of chondrogenic differentiation in ATDC5 cells using GFOGER-modified peptide nanofiber scaffold","authors":"Seher Yaylacı","doi":"10.1515/tjb-2023-0115","DOIUrl":"https://doi.org/10.1515/tjb-2023-0115","url":null,"abstract":"Abstract Objectives Owing to its avascular nature, cartilage tissue has a restricted capacity for regeneration. These structural features make it difficult for a fully functional tissue to regenerate after damage. Therefore, studies aiming at cartilage tissue regeneration are getting quite interesting. In this study, we employed a novel approach to induce chondrogenic differentiation using a collagen mimetic peptide amphihile (PA) nanofiber. The nanofiber comprised a specific peptide sequence – glycine-phenylalanine-hydroxyproline-glycine-glutamate-arginine (GFOGER), corresponding to the α1 (I) collagen chain. This sequence was selected for its ability to mimic the structure and function of natural collagen in the extracellular matrix (ECM). This specific peptide sequence is expected to enhance the chondrogenic differentiation process by providing a more efficient and effective method for tissue engineering applications. Methods ATDC5 cells were cultured on the synthetic scaffold of collagen-mimicking PA nanofibers, facilitating adhesion, division, and chondrogenic cell differentiation. Results In our study, ATDC5 cells cultured on collagen mimetic peptide nanofiber expressed chondrogenic marker proteins, namely Collagen II and Sox9, significantly high at the 5th and 10th days compared to cells cultured on TCP in the absence of insulin as inducer. Conclusions According to our results, the collagen mimetic peptide-based scaffold supports cell growth and differentiation by mimicking the natural cell matrix.","PeriodicalId":23344,"journal":{"name":"Turkish Journal of Biochemistry","volume":"38 3","pages":"659 - 667"},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139256015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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