Biomarker InsightsPub Date : 2021-06-24eCollection Date: 2021-01-01DOI: 10.1177/11772719211027022
Gönül Açıksarı, Mehmet Koçak, Yasemin Çağ, Lütfiye Nilsun Altunal, Adem Atıcı, Fatma Betül Çelik, Furkan Bölen, Kurtuluş Açıksarı, Mustafa Çalışkan
{"title":"Prognostic Value of Inflammatory Biomarkers in Patients with Severe COVID-19: A Single-Center Retrospective Study.","authors":"Gönül Açıksarı, Mehmet Koçak, Yasemin Çağ, Lütfiye Nilsun Altunal, Adem Atıcı, Fatma Betül Çelik, Furkan Bölen, Kurtuluş Açıksarı, Mustafa Çalışkan","doi":"10.1177/11772719211027022","DOIUrl":"https://doi.org/10.1177/11772719211027022","url":null,"abstract":"<p><strong>Background: </strong>The current knowledge about novel coronavirus-2019 (COVID-19) indicates that the immune system and inflammatory response play a crucial role in the severity and prognosis of the disease. In this study, we aimed to investigate prognostic value of systemic inflammatory biomarkers including C-reactive protein/albumin ratio (CAR), prognostic nutritional index (PNI), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) in patients with severe COVID-19.</p><p><strong>Methods: </strong>This single-center, retrospective study included a total of 223 patients diagnosed with severe COVID-19. Primary outcome measure was mortality during hospitalization. Multivariate logistic regression analyses were performed to identify independent predictors associated with mortality in patients with severe COVID-19. Receiver operating characteristic (ROC) curve was used to determine cut-offs, and area under the curve (AUC) values were used to demonstrate discriminative ability of biomarkers.</p><p><strong>Results: </strong>Compared to survivors of severe COVID-19, non-survivors had higher CAR, NLR, and PLR, and lower LMR and lower PNI (<i>P</i> < .05 for all). The optimal CAR, PNI, NLR, PLR, and LMR cut-off values for detecting prognosis were 3.4, 40.2, 6. 27, 312, and 1.54 respectively. The AUC values of CAR, PNI, NLR, PLR, and LMR for predicting hospital mortality in patients with severe COVID-19 were 0.81, 0.91, 0.85, 0.63, and 0.65, respectively. In ROC analysis, comparative discriminative ability of CAR, PNI, and NLR for hospital mortality were superior to PLR and LMR. Multivariate analysis revealed that CAR (⩾0.34, <i>P</i> = .004), NLR (⩾6.27, <i>P</i> = .012), and PNI (⩽40.2, <i>P</i> = .009) were independent predictors associated with mortality in severe COVID-19 patients.</p><p><strong>Conclusions: </strong>The CAR, PNI, and NLR are independent predictors of mortality in hospitalized severe COVID-19 patients and are more closely associated with prognosis than PLR or LMR.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211027022"},"PeriodicalIF":3.8,"publicationDate":"2021-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/11772719211027022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39173389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarker InsightsPub Date : 2021-06-14eCollection Date: 2021-01-01DOI: 10.1177/11772719211024100
Jennifer A Byrne, Jane E Carpenter, Candace Carter, Kathleen Phillips, Stephen Braye, Peter H Watson, Amanda Rush
{"title":"Building Research Support Capacity across Human Health Biobanks during the COVID-19 Pandemic.","authors":"Jennifer A Byrne, Jane E Carpenter, Candace Carter, Kathleen Phillips, Stephen Braye, Peter H Watson, Amanda Rush","doi":"10.1177/11772719211024100","DOIUrl":"https://doi.org/10.1177/11772719211024100","url":null,"abstract":"<p><p>Human health biobanks are forms of research infrastructure that supply biospecimens and associated data to researchers, and therefore juxtapose the activities of clinical care and biomedical research. The discipline of biobanking has existed for over 20 years and is supported by several international professional societies and dedicated academic journals. However, despite both rising research demand for human biospecimens, and the growth of biobanking as an academic discipline, many individual biobanks continue to experience sustainability challenges. This commentary will summarize how the COVID-19 pandemic is creating new challenges and opportunities for both the health biobanking sector and the supporting discipline of biobanking. While the challenges for biobanks may be numerous and acute, there are opportunities for both individual biobanks and the discipline of biobanking to embrace change such that biobanks can continue to support and drive biomedical research. We will therefore describe numerous practical steps that individual biobanks and/or the discipline of biobanking can take to survive and possibly thrive in response to the COVID-19 pandemic.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211024100"},"PeriodicalIF":3.8,"publicationDate":"2021-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/11772719211024100","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39112217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarker InsightsPub Date : 2021-06-04eCollection Date: 2021-01-01DOI: 10.1177/11772719211021647
Katja Tromp, Philip van der Zee, Casper Rokx, Jeroen van Kampen, Diederik Gommers, Henrik Endeman
{"title":"Effect of Methylprednisolone on Inflammation and Coagulation in Patients with Severe COVID-19: A Retrospective Cohort Study.","authors":"Katja Tromp, Philip van der Zee, Casper Rokx, Jeroen van Kampen, Diederik Gommers, Henrik Endeman","doi":"10.1177/11772719211021647","DOIUrl":"https://doi.org/10.1177/11772719211021647","url":null,"abstract":"<p><p>Corticosteroids reduced mortality rate in patients with coronavirus disease 2019 (COVID-19). Previously, we hypothesized that corticosteroids mitigate the inflammation response resulting in reduced coagulation and thrombosis. In this retrospective study, we included 27 patients with COVID-19 that received high-dose corticosteroids (methylprednisolone 1000 mg i.v. daily for 3 days) for persistent respiratory failure or an excessive inflammation response. We found that inflammation, coagulation, and ventilation parameters improved significantly after methylprednisolone. The viral loads of SARS-CoV-2 remained stable or decreased. These results provides insight into the reduced mortality rate observed in patients with COVID-19 treated with corticosteroids.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211021647"},"PeriodicalIF":3.8,"publicationDate":"2021-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/11772719211021647","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39095635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarker InsightsPub Date : 2021-05-24eCollection Date: 2021-01-01DOI: 10.1177/11772719211018204
Yong Qin Koh, Ding Quan Ng, Chiu Chin Ng, Adrian Boey, Meng Wei, Siu Kwan Sze, Han Kiat Ho, Munjal Acharya, Charles L Limoli, Alexandre Chan
{"title":"Extracellular Vesicle Proteome of Breast Cancer Patients with and Without Cognitive Impairment Following Anthracycline-based Chemotherapy: An Exploratory Study.","authors":"Yong Qin Koh, Ding Quan Ng, Chiu Chin Ng, Adrian Boey, Meng Wei, Siu Kwan Sze, Han Kiat Ho, Munjal Acharya, Charles L Limoli, Alexandre Chan","doi":"10.1177/11772719211018204","DOIUrl":"https://doi.org/10.1177/11772719211018204","url":null,"abstract":"<p><p>Cognitive impairment due to cancer and its therapy is a major concern among cancer patients and survivors. Extracellular vesicle (EVs) composition altered by cancer and chemotherapy may affect neurological processes such as neuroplasticity, potentially impacting the cognitive abilities of cancer patients and survivors. We investigated the EV proteome of breast cancer patients with and without cognitive impairment following anthracycline-based chemotherapy from longitudinally collected plasma. EVs were cup-shaped and positive for Flotillin-1 and TSG-101. We identified 517 differentially expressed EV proteins between the cognitive impaired and non-impaired groups during and post-chemotherapy. The observed decreased expression of p2X purinoceptor, cofilin-1, ADAM 10, and dynamin-1 in the plasma EVs of the cognitive impaired group may suggest alterations in the mechanisms underlying synaptic plasticity. The reduced expression of tight junction proteins among cognitive-impaired patients may imply weakening of the blood-brain barrier. These EV protein signatures may serve as a fingerprint that underscores the mechanisms underlying cognitive impairment in cancer patients and survivors.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211018204"},"PeriodicalIF":3.8,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/11772719211018204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38995358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarker InsightsPub Date : 2021-05-24eCollection Date: 2021-01-01DOI: 10.1177/11772719211013363
Encarnación Donoso-Navarro, Ignacio Arribas Gómez, Francisco A Bernabeu-Andreu
{"title":"IL-6 and Other Biomarkers associated with Poor Prognosis in a Cohort of Hospitalized Patients with COVID-19 in Madrid.","authors":"Encarnación Donoso-Navarro, Ignacio Arribas Gómez, Francisco A Bernabeu-Andreu","doi":"10.1177/11772719211013363","DOIUrl":"https://doi.org/10.1177/11772719211013363","url":null,"abstract":"Objectives: There are several published works on the prognostic value of biomarkers in relation to the severity or fatal outcome of coronavirus disease 2019 (COVID-19). In Spain, the second European country in incidence of the disease at the time of data collection, there are few studies that include both laboratory parameters and clinical parameters. Our aim is to study the relationship of a wide series of biomarkers with admission to intensive care and death in a hospital in the Autonomous Community of Madrid (Spain), with special attention to IL-6 due to its role in the systemic inflammatory response associated with a worse prognosis of the disease. Methods: Data were collected from 546 hospitalized patients with COVID-19. All of them had IL-6 results, in addition to other biochemical and haematological parameters. The difference of the medians for the selected parameters between the groups (ICU vs non-ICU, dead vs survivors) was studied using a Mann-Whitney analysis. The independent variables that predicted death were studied using a Cox proportional hazard regression model. Results: Higher age and blood concentrations of ALT, creatinine, CK, cTnI, LDH, NT-proBNP, CRP, IL-6, leucocyte count and D-dimer together with lower blood concentrations of albumin and lymphocyte count were associated with mortality in univariate analysis. Age, LDH, IL-6 and lymphocyte count remained associated with death in multivariate analysis. Conclusions: Age, LDH, IL-6 and lymphocyte count, as independent predictors of death, could be used to establish more aggressive therapies in COVID-19 patients.","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211013363"},"PeriodicalIF":3.8,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/11772719211013363","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38995357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarker InsightsPub Date : 2021-05-14eCollection Date: 2021-01-01DOI: 10.1177/11772719211016359
Susanne Gjørup Sækmose, René Holst, Tine Lottenburger, Henriette Ytting, Hans Jørgen Nielsen, Peter Junker, Anders Schlosser, Grith Lykke Sorensen
{"title":"Circadian, Week-to-Week, and Physical Exercise-Induced Variation of Serum Microfibrillar-Associated Protein 4.","authors":"Susanne Gjørup Sækmose, René Holst, Tine Lottenburger, Henriette Ytting, Hans Jørgen Nielsen, Peter Junker, Anders Schlosser, Grith Lykke Sorensen","doi":"10.1177/11772719211016359","DOIUrl":"https://doi.org/10.1177/11772719211016359","url":null,"abstract":"<p><p>Serum microfibrillar-associated protein 4 (sMFAP4) has been investigated as a biomarker for various diseases and is demonstrated to show significant gradual increase with severity of liver fibrosis. Ideal biomarkers used for disease diagnosis or prognosis should display deviating levels in affected individuals only and be robust to factors unrelated to the disease. Here we show the impact of normal physiological variation of sMFAP4 by characterizing the circadian variation, week-to-week variation, and physical exercise-induced levels. Serum samples from 3 groups of healthy volunteers were drawn: 7 times during a 24-hour period, 5 times during a 3-week period, and before and after a standardized physical exercise challenge. sMFAP4 was determined by AlphaLISA. Statistical analysis was performed using mixed effects modeling of repeated measurements. Circadian variation of sMFAP4 was demonstrated, with time of peak and nadir values depending on age and gender. For males, the peak values were observed during nighttime whereas for females, peak values were observed in the morning. Individual sMFAP4 levels remained stable over a period of 3 weeks and physical exercise inferred a mild negative influence. In conclusion, the circadian sMFAP4 variation was significant, and the levels could be influenced by physical activity. However, these variations were of limited magnitude relative to previously observed disease-induced levels in support of the biomarker potential of sMFAP4.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211016359"},"PeriodicalIF":3.8,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/11772719211016359","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38936847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiple Sclerosis Biomarker Discoveries by Proteomics and Metabolomics Approaches.","authors":"Ameneh Jafari, Amirhesam Babajani, Mostafa Rezaei-Tavirani","doi":"10.1177/11772719211013352","DOIUrl":"10.1177/11772719211013352","url":null,"abstract":"<p><p>Multiple sclerosis (MS) is an autoimmune inflammatory disorder of the central nervous system (CNS) resulting in demyelination and axonal loss in the brain and spinal cord. The precise pathogenesis and etiology of this complex disease are still a mystery. Despite many studies that have been aimed to identify biomarkers, no protein marker has yet been approved for MS. There is urgently needed for biomarkers, which could clarify pathology, monitor disease progression, response to treatment, and prognosis in MS. Proteomics and metabolomics analysis are powerful tools to identify putative and novel candidate biomarkers. Different human compartments analysis using proteomics, metabolomics, and bioinformatics approaches has generated new information for further clarification of MS pathology, elucidating the mechanisms of the disease, finding new targets, and monitoring treatment response. Overall, omics approaches can develop different therapeutic and diagnostic aspects of complex disorders such as multiple sclerosis, from biomarker discovery to personalized medicine.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211013352"},"PeriodicalIF":3.8,"publicationDate":"2021-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ba/e8/10.1177_11772719211013352.PMC8114757.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38933381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarker InsightsPub Date : 2021-04-30eCollection Date: 2021-01-01DOI: 10.1177/11772719211013359
Cassandra Griffin, Ricardo Vilain, Simon King, Sandy Nixon, Alisha Gooley, Samara Bray, James Lynam, Marjorie M Walker, Rodney J Scott, Christine Paul
{"title":"Mind Over Matter: Confronting Challenges in Post-Mortem Brain Biobanking for Glioblastoma Multiforme.","authors":"Cassandra Griffin, Ricardo Vilain, Simon King, Sandy Nixon, Alisha Gooley, Samara Bray, James Lynam, Marjorie M Walker, Rodney J Scott, Christine Paul","doi":"10.1177/11772719211013359","DOIUrl":"https://doi.org/10.1177/11772719211013359","url":null,"abstract":"<p><p>Over the past 10 years, there has been limited progress for the treatment of brain cancer and outcomes for patients are not much improved. For brain cancer researchers, a major obstacle to biomarker driven research is limited access to brain cancer tissue for research purposes. The Mark Hughes Foundation Brain Biobank is one of the first post-mortem adult brain banks in Australia to operate with protocols specifically developed for brain cancer. Located within the Hunter New England Local Health District and operated by Hunter Cancer Biobank, the boundaries of service provided by the Brain Bank extend well into the surrounding regional and rural areas of the Local Health District and beyond. Brain cancer biobanking is challenging. There are conflicting international guidelines for best practice and unanswered questions relating to scientific, psychosocial and operational practices. To address this challenge, a best practice model was developed, informed by a consensus of existing data but with consideration of the difficulties associated with operating in regional or resource poor settings. The regional application of this model was challenged following the presentation of a donor located in a remote area, 380km away from the biobank. This required biobank staff to overcome numerous obstacles including long distance patient transport, lack of palliative care staff, death in the home and limited rural outreach services. Through the establishment of shared goals, contingency planning and the development of an informal infrastructure, the donation was facilitated within the required timeframe. This experience demonstrates the importance of collaboration and networking to overcome resource insufficiency and geographical challenges in rural cancer research programmes.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211013359"},"PeriodicalIF":3.8,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/11772719211013359","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39930049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarker InsightsPub Date : 2021-04-20eCollection Date: 2021-01-01DOI: 10.1177/11772719211009513
Valerie Speirs
{"title":"Quality Considerations When Using Tissue Samples for Biomarker Studies in Cancer Research.","authors":"Valerie Speirs","doi":"10.1177/11772719211009513","DOIUrl":"10.1177/11772719211009513","url":null,"abstract":"<p><p>Tissue obtained from biobanks is frequently employed in biomarker studies. Biomarkers define objective, measurable characteristics of biological and biomedical procedures and have been used as indicators of clinical outcome. This article outlines some of the steps scientists should consider when embarking on biomarker research in cancer research using samples from biobanks and the importance and challenges of linking clinical data to biological samples.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211009513"},"PeriodicalIF":3.8,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38877424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biomarker InsightsPub Date : 2021-04-20eCollection Date: 2021-01-01DOI: 10.1177/11772719211011173
Agata Będzichowska, Katarzyna Jobs, Małgorzata Kloc, Anna Bujnowska, Bolesław Kalicki
{"title":"The Assessment of the Usefulness of Selected Markers in the Diagnosis of Chronic Kidney Disease in Children.","authors":"Agata Będzichowska, Katarzyna Jobs, Małgorzata Kloc, Anna Bujnowska, Bolesław Kalicki","doi":"10.1177/11772719211011173","DOIUrl":"10.1177/11772719211011173","url":null,"abstract":"<p><strong>Introduction: </strong>The kidney deterioration, which starts in childhood often leads to end-stage renal failure in the future. Therefore, searching for an early, sensitive, and specific biomarkers became a paramount for chronic kidney disease diagnosis. The aim of this study was the assessment of markers: KIM-1, FGF-23, NAG, NGAL, and uromodulin for diagnosis of preclinical phase of the disease in children.</p><p><strong>Patients and methods: </strong>59 children (15 boys, 44 girls from 6 months to 17 years old) with kidney disorders, which had clinical indications for renoscintigraphy, were included in the study. All patients were divided depending on the result of renoscintigraphy (renal scarring vs normal kidney picture) and depending on the level of estimated glomerular filtration rate (glomerular hyperfiltration vs normal filtration rate). The concentration of uromoduline, KIM-1, FGF-23, NAG, and NGAL in serum and of NGAL and uromoduline in urine were measured in all studied groups.</p><p><strong>Results: </strong>The children with glomerular hyperfiltration had a statistically significantly higher serum values of FGF-23 and NGAL than the children with normal filtration rate (<i>P</i> < .05). There were no statistically significant differences in serum concentrations of tested markers in children with renal scars in comparison to children with normal renal image. There was no statistically significant difference in the concentration of tested markers in urine.</p><p><strong>Conclusions: </strong>The study confirmed the possible usefulness of FGF-23 and NGAL in detecting the preclinical-stage of renal disease associated with glomerular hyperfiltration in children. The study do not allow to indicate markers, which could be useful in the early diagnosis of kidney damage visible in the scintigraphic examination.</p>","PeriodicalId":47060,"journal":{"name":"Biomarker Insights","volume":"16 ","pages":"11772719211011173"},"PeriodicalIF":3.8,"publicationDate":"2021-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/41/13/10.1177_11772719211011173.PMC8060753.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38877425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}