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Mahmoud AA, El-Hawy MA, Allam ET, Salem AH, Abo Hola AS. HbA1c or fructosamine on evaluating glucose intolerance in children with beta- thalassemia. Pediatr Res 2024:10.1038/s41390-024-03146-y. [PMID: 38575692 DOI: 10.1038/s41390-024-03146-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 02/22/2024] [Accepted: 03/01/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Beta-thalassemia major (β-TM) patients are more likely to experience blood glucose intolerance and to date; the blood markers that could evaluate this are debatable. So, this study aimed to assess the roles of glycated hemoglobin A1c (HbA1c) and fructosamine in evaluating glucose intolerance in children with β-TM and figuring out role of insulin resistance in these patients. METHODS One hundred children diagnosed with β-TM and 100 age and sex-matched controls were enrolled. Fasting plasma glucose (FPG), 2-h post-prandial blood glucose (2-h PG), HbA1c, fructosamine, fasting insulin level (FINS), insulin resistance index (HOMA-IR), and insulin sensitivity index (HOMA-IS) were evaluated. RESULTS FPG and 2-h PG revealed glucose intolerance in 51 patients (51%), 19 of them had diabetes mellitus. HbA1c, fructosamine, FINS, and HOMA-IR showed a high statistically significant increase in patients compared to controls, (P < 0.001). Results revealed fructosamine was more specific in detecting prediabetes state and more sensitive in identifying diabetes mellitus in our patients when compared to HbA1c. CONCLUSIONS Despite controversies on HbA1c in children with β-TM, it is still valuable in glucose intolerance detection. Fructosamine showed more sensitivity and specificity. Furthermore, insulin resistance was prevalent in children with β-TM highlighting the necessity of regular glycemic state evaluation. IMPACT Glucose intolerance is a common complication in beta thalassemia patients. Conflicting data was reported about the role of HbA1c and fructosamine in evaluating glucose intolerance in thalassemic patients. Fructosamine does not yet have a threshold that may be used to distinguish between patients who have diabetes mellitus and those who do not. Fructosamine was more specific in detecting blood glucose intolerance compared to HbA1c and was more sensitive for diagnosing diabetes mellitus. Insulin resistance was common in patients with beta-thalassemia and often present before the onset of overt diabetes.
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Affiliation(s)
- Asmaa A Mahmoud
- Department of Pediatrics, Faculty of Medicine, Menoufia University, Shebin El-Kom, Egypt.
| | - Mahmoud A El-Hawy
- Department of Pediatrics, Faculty of Medicine, Menoufia University, Shebin El-Kom, Egypt
| | - Esraa T Allam
- Department of Clinical Pathology, National Liver Institute, Shebin El-Kom, Egypt
| | | | - Ahmed S Abo Hola
- Department of Pediatrics, Faculty of Medicine, Menoufia University, Shebin El-Kom, Egypt
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Pang WW, Hinkle SN, Wu J, Stallcup P, Tsai MY, Sacks DB, Zhang C. A Longitudinal Study of Plasma Glycated Albumin across Pregnancy and Associations with Maternal Characteristics and Cardiometabolic Biomarkers. Clin Chem 2023; 69:1420-1428. [PMID: 37932245 DOI: 10.1093/clinchem/hvad172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/28/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Glycated albumin (GA) has recently been proposed as a screening marker for diabetes among non-pregnant individuals. However, data on GA during pregnancy are sparse and lacking among women of diverse race/ethnicity. We investigated longitudinal concentrations of GA among multiracial pregnant women in the National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies-Singletons. METHODS We quantified GA and cardiometabolic biomarkers using longitudinal plasma samples collected at 10 to 14, 15 to 26 (fasting), 23 to 31, and 33 to 39 gestational weeks from 214 pregnant women without gestational diabetes. We examined the distribution of GA across pregnancy and its association with participants' characteristics including race/ethnicity, pre-pregnancy body mass index (ppBMI), and selected cardiometabolic biomarkers. GA trajectories were estimated using a latent class approach. RESULTS Medians (interquartile range) of GA concentrations were 12.1% (10.6%-13.4%), 12.5% (10.7%-13.8%), 12.4% (10.9%-13.5%), and 11.5% (10.4%-12.5%) at 10 to 14, 15 to 26, 23 to 31, and 33 to 39 weeks, respectively. There were no significant differences in the pattern among different race/ethnic groups (P > 0.53). A minority of women exhibited a GA trajectory characterized by a high concentration of GA at 15 to 26 weeks. GA concentrations were inversely related to ppBMI and plasma low-density lipoprotein and triglyceride concentrations, but were not significantly related to hemoglobin A1c, fasting insulin, or glucose over pregnancy. CONCLUSIONS In this study of individuals who were normoglycemic before pregnancy, plasma GA concentrations stayed relatively constant over pregnancy, decreasing only in late pregnancy. GA concentrations were inversely related to ppBMI and suboptimal lipid profiles, but did not appear to be a sensitive marker for glucose metabolism in pregnancy.
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Affiliation(s)
- Wei Wei Pang
- Global Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Stefanie N Hinkle
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Jing Wu
- Glotech Inc., Bethesda, MD, United States
| | - Paulina Stallcup
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - David B Sacks
- Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, United States
| | - Cuilin Zhang
- Global Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Agnello L, Giglio RV, Lo Sasso B, Vidali M, Pedone S, Massa D, Ciaccio AM, Gambino CM, Ciaccio M. Validation of glycated albumin reference interval in healthy Caucasian pregnant women. Acta Diabetol 2023; 60:447-448. [PMID: 36283986 DOI: 10.1007/s00592-022-01992-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/03/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Luisa Agnello
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
| | - Rosaria Vincenza Giglio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127, Palermo, Italy
| | - Bruna Lo Sasso
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127, Palermo, Italy
| | - Matteo Vidali
- Foundation IRCCS Ca' Grande Ospedale Maggiore Policlinico, 20122, Milan, Italy
| | - Silvia Pedone
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
| | - Davide Massa
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
| | - Anna Maria Ciaccio
- Unit of Clinical Biochemistry, University of Palermo, Via del Vespro, CAP 129, 90127, Palermo, Sicily, Italy
| | - Caterina Maria Gambino
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127, Palermo, Italy
| | - Marcello Ciaccio
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine and Clinical Laboratory Medicine, University of Palermo, 90127, Palermo, Italy.
- Department of Laboratory Medicine, University Hospital "P. Giaccone", 90127, Palermo, Italy.
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Paleari R, Vidali M, Ceriotti F, Pintaudi B, Luisa De Angelis M, Vitacolonna E, Cataldo I, Torlone E, Succurro E, Angotti E, Alessi E, Mosca A. Reference intervals for glycated albumin during physiological pregnancy of Europid women: Evidences from a prospective observational study. Clin Chim Acta 2023; 541:117246. [PMID: 36754193 DOI: 10.1016/j.cca.2023.117246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 02/02/2023] [Accepted: 02/02/2023] [Indexed: 02/09/2023]
Abstract
BACKGROUND AND AIMS Glycated albumin (GA) may assess glycometabolic control over a short period of time respect to HbA1c, and its use to screen for gestational diabetes in pregnancy has been suggested. To this regard few data on reference intervals (RI) for GA on Europid women have been collected, only from cross-sectional investigations. Aim of this work has been to collect trimester-specific RI for GA in physiological pregnancies, following a longitudinal prospective study. METHODS Forty-five healthy pregnant Europid women have been enrolled for whom a GDM screening test was scheduled at 24-28 weeks, in 5 different Italian centers. Only those negative to the OGTT were included. The women had 4 successive visits at 6-10 weeks of gestation, at 16-18 weeks, at 24-28 weeks and at the end of pregnancy. ALT, AST, total bilirubin, C-reactive protein, cholinesterase, creatinine, GGT, glycated albumin, iron, total serum proteins, transferrin were measured in duplicate on aliquots of serum samples by a central laboratory. RESULTS The RI (2.5-97.5 percentiles) for GA were 11.1-14.8 % (I visit), 10.9-15.6 % (II visit), 10.6-14.1 % (III visit) and 10.7-14.3 % (IV visit). The RI of other biomarkers confirmed previously published data. The RI for serum cholinesterase we present are novel, and were 5049-9906 U/L (Iv), 4212-8965 U/L (IIv), 3518-8470 U/L (IIIv) and 3945-8727 U/L (IVv). CONCLUSIONS Trimester-specific RI are important for using GA and serum cholinesterase in pregnancy. However, considering the high inter-individual variability of both markers, the use of longitudinal interpretations of the individual variations of both proteins during pregnancy should be preferred.
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Rooney MR, Zhang S, Fang M, Minhas AS, Wallace AS, Grams ME, Echouffo-Tcheugui JB, Christenson RH, Selvin E. Performance of glycated albumin as a biomarker of hyperglycemia in pregnancy: Results from the National Health and Nutrition Examination Survey 1999-2004. Clin Biochem 2023; 112:67-70. [PMID: 36414047 PMCID: PMC9870942 DOI: 10.1016/j.clinbiochem.2022.11.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 11/07/2022] [Accepted: 11/16/2022] [Indexed: 11/21/2022]
Abstract
AIM We sought to evaluate the performance of glycated albumin (GA) as a measure of hyperglycemia in pregnant women. METHODS We used data from 555 pregnant women aged 20-40 years who participated in NHANES 1999-2004 and did not report a pre-pregnancy diagnosis of diabetes. We used Pearson's correlations and evaluated the area under the curve (AUC) for GA to detect elevated concentrations of random glucose, HbA1c, or fasting glucose (subset). We compared results to 1607 nonpregnant women aged 20-40 without diabetes. RESULTS In pregnant women, 1.9 % had HbA1c ≥ 39 mmol/mol (≥5.7 %), 9.1 % had random glucose ≥ 5.3 mmol/L (≥95 mg/dL), and 10.7 % had fasting glucose ≥ 5.3 mmol/L. In pregnancy, GA was poorly correlated with HbA1c (r = 0.08) and random glucose (r = 0.17). BMI was positively associated with HbA1c (r = 0.33) and random glucose (r = 0.25) but was inversely associated with GA (r = -0.27). GA had poor discrimination for detecting hyperglycemia in pregnant women, defined as HbA1c ≥ 39 mmol/mol (AUC = 0.634) or random glucose ≥ 5.3 mmol/L (AUC = 0.628). Similar patterns were observed among nonpregnant women. CONCLUSIONS GA is not a sensitive test to screen for hyperglycemia in pregnancy. GA was inversely associated with adiposity in pregnant women without diabetes. Pregnancy-related weight gain may complicate interpretation of repeated GA measurements.
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Affiliation(s)
- Mary R Rooney
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
| | - Sui Zhang
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Michael Fang
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Anum S Minhas
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Amelia S Wallace
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Morgan E Grams
- Division of Precision Medicine, New York University Grossman School of Medicine, New York, NY, United States
| | - Justin B Echouffo-Tcheugui
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Robert H Christenson
- Department of Pathology, University of MD School of Medicine, Baltimore, MD, United States
| | - Elizabeth Selvin
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
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Lin CA, Li WC, Lin SY, Chen YC, Yu W, Huang HY, Xiong XJ, Chen JY. Gender differences in the association between insulin resistance and chronic kidney disease in a Chinese population with metabolic syndrome. Diabetol Metab Syndr 2022; 14:184. [PMID: 36461016 PMCID: PMC9716739 DOI: 10.1186/s13098-022-00956-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Insulin resistance (IR) was reported to be associated with renal function impairment, but little is known about the gender difference. Hence, our study aimed to investigate the relationship between IR (estimated by the homeostasis model assessment of IR (HOMA-IR) index) and chronic kidney disease (CKD) in a Chinese population with metabolic syndrome (MetS) and discern whether there was any gender disparity or not. METHODS This retrospective cross-sectional study enrolled 13,638 men and 10,450 women who received health examinations from 2013 to 2016 at Xiamen Chang Gung Hospital. Among the participants, 3,253 men (64.3%) and 1,808 women (35.7%) who had MetS and met the inclusion criteria were included for analysis. Spearman's correlation was conducted to analyze the relationship between HOMA-IR and cardio-metabolic risk factors. Multivariable linear regression was analyzed to explore the relationship between HOMA-IR and cardio-metabolic variables. Logistic regression analysis was performed to assess the association between HOMA-IR and CKD. RESULTS The median HOMA-IR and prevalence of CKD was 2.2 and 11.31%, respectively, for men and 2.09 and 15.93%, respectively, for women. In multivariable linear regression analysis, HOMA-IR was significant associated with estimated GFR, albumin/creatinine ratio in men. Multivariable logistic regression revealed a significant difference between HOMA-IR value and the prevalence of CKD in men but not in women (odds ratio in male = 1.21; 95% CI 1.14-1.28, p ≤ 0.001; odds ratio in female = 1.01; 95% CI 0.99-1.02, p = 0.38). CONCLUSIONS HOMA-IR was independently associated with CKD among men with MetS but not in women.
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Affiliation(s)
- Chieh-An Lin
- Department of Family Medicine, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
| | - Wen-Cheng Li
- Department of Family Medicine, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Health Management, Xiamen Chang Gung Hospital, Xiamen, China
| | - Szu-Yu Lin
- Department of Family Medicine, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
| | - Yi-Chuan Chen
- Department of Family Medicine, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Wei Yu
- Department of Health Management, Xiamen Chang Gung Hospital, Xiamen, China
| | - Hsiung-Ying Huang
- Department of Pulmonary and Critical Care Medicine, Xiamen Chang Gung Hospital, Xiamen, China
| | - Xue-Jie Xiong
- Department of Oncology, Xiamen Chang Gung Hospital, Xiamen, China
| | - Jau-Yuan Chen
- Department of Family Medicine, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
- College of Medicine, Chang Gung University, Taoyuan, Taiwan.
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Toft JH, Dalen I, Skadberg Ø, Gøransson L, Økland I, Bleskestad IH. Glycated albumin and continuous glucose monitoring metrics across pregnancy in women with pre-gestational diabetes. Endocrinol Diabetes Metab 2022; 5:e376. [PMID: 36121204 PMCID: PMC9659665 DOI: 10.1002/edm2.376] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/09/2022] [Accepted: 09/11/2022] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Glycated albumin (GA), a biomarker reflecting short-term glycaemia, may be useful to assess glycaemic control in pregnancy. We examined the association between GA and continuous glucose monitoring (CGM) metrics across gestation. METHODS In this prospective cohort study including 40 women with pre-gestational diabetes, blood samples for analysis of GA and glycated haemoglobin A1c (HbA1c) were collected at pregnancy week 12, 20, 24, 28, 32 and 36. In the CGM-group (n = 19), CGM data were collected from first trimester until pregnancy week 36. Receiver operating characteristic (ROC) curves were used to assess the accuracy of GA and HbA1c to detect poor glycaemic control, using CGM metrics as the reference standard. This study was conducted at Stavanger University Hospital, Norway, in 2016-2018. RESULTS Glycaemic control improved across gestation with more time spent in target range, coinciding with decreased glycaemic variability and lower mean GA level. There was statistically significant correlation between GA and most CGM metrics. The area under the ROC curves (AUC) for detecting time in range <70% and time above range >25% for the pregnancy glucose target 63-140 mg/dl (3.5-7.8 mmol/L) were 0.78 and 0.82 for GA, whereas AUCs of 0.60 and 0.72 were found for HbA1c, respectively. CONCLUSIONS Higher GA levels were associated with less time spent in target range, more time spent in the above range area and increased glycaemic variability. GA was more accurate than HbA1c to detect time above range >25% and time in range <70%.
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Affiliation(s)
- Johanne Holm Toft
- Department of Obstetrics and GynecologyStavanger University HospitalStavangerNorway,Department of Clinical ScienceUniversity of BergenBergenNorway
| | - Ingvild Dalen
- Section of Biostatistics, Department of ResearchStavanger University HospitalStavangerNorway
| | - Øyvind Skadberg
- Department of Medical BiochemistryStavanger University HospitalStavangerNorway
| | - Lasse Gunnar Gøransson
- Department of Internal MedicineStavanger University HospitalStavangerNorway,Department of Clinical MedicineUniversity of BergenBergenNorway
| | - Inger Økland
- Department of Obstetrics and GynecologyStavanger University HospitalStavangerNorway,Department of Caring and EthicsUniversity of StavangerStavangerNorway
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Li X, Lu L, Hou W, Wang F, Huang T, Meng Z, Zhu M. The SETD8/ELK1/bach1 complex regulates hyperglycaemia-mediated EndMT in diabetic nephropathy. J Transl Med 2022; 20:147. [PMID: 35351142 PMCID: PMC8961497 DOI: 10.1186/s12967-022-03352-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/16/2022] [Indexed: 12/18/2022] Open
Abstract
Background Diabetic nephropathy (DN), the most common microvascular complication in patients with diabetes, induces kidney failure. Previous research showed that endothelial-to-mesenchymal transition (EndMT) of human glomerular endothelial cells (HGECs) is involved in the progression of DN. Moreover, SET domain-containing protein 8 (SETD8), ETS-domain containing protein (ELK1) and BTB and CNC homology 1 (bach1) all participate in endothelial injury. In this study, we hypothesize that the SETD8/ELK1/bach1 functional axis is involved in mediating EndMT in diabetic nephropathy. Methods Immunohistochemistry, Western blotting and qPCR were performed to determine the protein and mRNA levels of genes in HGECs and the kidney tissues of participants and rats. Immunofluorescence, Co-IP and GST pulldown assays were performed to verify the direct interaction between SETD8 and ELK1. ChIP and dual-luciferase assays were performed to determine the transcriptional regulation of bach1 and Snail. AVV-SETD8 injection in rat kidney was used to verify the potential protective effect of SETD8 on DN. Results Our current study showed that hyperglycaemia triggered EndMT by increasing Snail expression both in vitro and in vivo. Moreover, high glucose increased bach1 expression in HGECs, positively regulating Snail and EndMT. As a transcription factor, ELK1 was augmented and participated in hyperglycaemia-induced EndMT via modulation of bach1 expression. Moreover, ELK1 was found to associate with SETD8. Furthermore, SETD8 negatively regulated EndMT by cooperating with bach1 to regulate Snail transcription. Furthermore, histone H4-Lys-20 monomethylation (H4K20me1), which is downstream of SETD8, was accompanied by ELK1 localization at the same promoter region of bach1. ELK1 overexpression enhanced bach1 promoter activity, which disappeared after specific binding site deletion. Mutual inhibition between ELK1 and SETD8 was found in HGECs. In vivo, SETD8 overexpression decreased ELK1 and bach1 expression, as well as EndMT. Moreover, SETD8 overexpression improved the renal function of rats with DN. Conclusions SETD8 cooperates with ELK1 to regulate bach1 transcription, thus participating in the progression of DN. In addition, SETD8 interacts with bach1 to modulate Snail transcription, thus inducing EndMT in DN. SETD8 plays a core role in the SETD8/ELK1/bach1 functional axis, which participates in hyperglycaemia-mediated EndMT in DN, and SETD8 may be a potential therapeutic target for DN. Trial registration ChiCTR, ChiCTR2000029425. 2020/1/31, http://www.chictr.org.cn/showproj.aspx?proj=48548 Supplementary Information The online version contains supplementary material available at 10.1186/s12967-022-03352-4.
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Affiliation(s)
- Xue Li
- Department of Anesthesiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Lihong Lu
- Department of Anesthesiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Wenting Hou
- Department of Anesthesiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Fei Wang
- Department of Anesthesiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Ting Huang
- Department of Anesthesiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Zhipeng Meng
- Department of Anaesthesiology, Huzhou Hospital Affiliated to Zhejiang University, Affiliated Central Hospital of HuZhou University, Huzhou, 313000, Zhejiang, China.
| | - Minmin Zhu
- Department of Anesthesiology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. .,Department of Anesthesiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, People's Republic of China.
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9
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Toft JH, Bleskestad IH, Skadberg Ø, Gøransson LG, Økland I. Glycated albumin in pregnancy: LC-MS/MS-based reference interval in healthy, nulliparous Scandinavian women and its diagnostic accuracy in gestational diabetes mellitus. Scand J Clin Lab Invest 2022; 82:123-131. [PMID: 35148229 DOI: 10.1080/00365513.2022.2033827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Glycated albumin (GA) may be a useful biomarker of glycemia in pregnancy. The aim of this study was to establish the reference interval (RI) for GA, analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS), in healthy, nulliparous pregnant women. In addition, we assessed the accuracy of GA and glycated hemoglobin A1c (HbA1c) in the diagnosis of gestational diabetes mellitus (GDM). Finally, we explored the prevalence of GDM in healthy nulliparas, comparing three diagnostic guidelines (WHO-1999, WHO-2013 and the Norwegian guideline). The study was carried out at Stavanger University Hospital, Norway, and included a study population of 147 pregnant nulliparous women. An oral glucose tolerance test (OGTT) was performed and used as the gold standard for GDM diagnosis. Blood samples for analysis of GA and HbA1c were collected at pregnancy week 24-28. A nonparametric approach was chosen for RI calculation, and receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of GA and HbA1c. The established RI for GA in 121 pregnant women was 7.1-11.6%. The area under the ROC curves (AUCs) were 0.531 (GA) and 0.627 (HbA1c). According to the WHO-1999, WHO-2013 and the Norwegian guideline, respectively, 24 (16%), 36 (24%) and 21 (14%) women were diagnosed with GDM. Only nine women (6%) fulfilled the GDM-criteria of all guidelines. In conclusion, we established the first LC-MS/MS-based RI for GA in pregnant women. At pregnancy weeks 24-28, neither GA nor HbA1c discriminated between those with and without GDM. Different women were diagnosed with GDM using the three guidelines.
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Affiliation(s)
- Johanne Holm Toft
- Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Øyvind Skadberg
- Department of Medical Biochemistry, Stavanger University Hospital, Stavanger, Norway
| | - Lasse Gunnar Gøransson
- Department of Internal Medicine, Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Inger Økland
- Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.,Department of Caring and Ethics, University of Stavanger, Stavanger, Norway
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Yan P, Tang Q, Wu Y, Wan Q, Zhang Z, Xu Y, Zhu J, Miao Y. Serum albumin was negatively associated with diabetic peripheral neuropathy in Chinese population: a cross-sectional study. Diabetol Metab Syndr 2021; 13:100. [PMID: 34526116 PMCID: PMC8444578 DOI: 10.1186/s13098-021-00718-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 09/01/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Previous studies that explored the relationship of serum albumin with diabetic peripheral neuropathy (DPN) have indicated inconsistent results. Thus, the present study aimed to evaluated the association between serum albumin and DPN, defined as vibration perception threshold (VPT) values ≥ 25 V and/or inability to feel the monofilament, in Chinese patients with type 2 diabetes mellitus (T2DM). METHODS 1465 T2DM patients aged ≥ 16 years, who completed the measurement of serum albumin and DPN screening between 2012 and 2015, were included in the cross-sectional study. Correlation and multivariate logistic regression analysis models were used to evaluate the possible relationship between serum albumin and DPN. RESULTS Patients with higher quartiles of serum albumin had significantly lower VPT values and prevalence of DPN compared with those with lower quartiles (P for trend < 0.01), and there was an inverse relationship between serum albumin and VPT values and prevalence of DPN (all P < 0.01). Multivariate logistic regression analysis demonstrated that the risk of DPN was progressively decreased across serum albumin quartiles (P for trend < 0.01), and participants in the highest quartile of serum albumin were at a significantly decreased risk of DPN compared to those in the lowest quartile (odds rate: 0.311, 95% confidence intervals 0.134-0.724, P < 0.01). ROC analysis revealed that the optimal cutoff point of serum albumin for the prevalence of DPN was 39.95 g/L in patients with T2DM, with a sensitivity of 65.88% and a specificity of 66.7%. CONCLUSIONS Decreased levels of serum albumin might be correlated with increased risk of DPN in Chinese patients with T2DM. Future longitudinal studies with large samples are warranted to confirm our findings, and elucidate putative mechanisms for the association.
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Affiliation(s)
- Pijun Yan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.
| | - Qian Tang
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Yuru Wu
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Zhihong Zhang
- Department of General Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Yong Xu
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Jianhua Zhu
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
| | - Ying Miao
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China
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Paleari R, Succurro E, Angotti E, Torlone E, Caroli A, Alessi E, Ceriotti F, Mosca A. Why glycated albumin decreases in pregnancy? Evidences from a prospective study on physiological pregnancies of Caucasian women. Clin Chim Acta 2021; 520:217-218. [PMID: 34089723 DOI: 10.1016/j.cca.2021.05.035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 05/31/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Renata Paleari
- Dip. Di Fisiopatologia medico-chirurgica e dei trapianti, Università degli Studi di Milano, Milano, Italy
| | - Elena Succurro
- Policlinico "Mater Domini", Università degli Studi "Magna Graecia" di Catanzaro, Catanzaro, Italy
| | - Elvira Angotti
- Policlinico "Mater Domini", Università degli Studi "Magna Graecia" di Catanzaro, Catanzaro, Italy
| | - Elisabetta Torlone
- MISEM, A.O. S. Maria della Misericordia, Università degli Studi di Perugia, Perugia, Italy
| | - Antonella Caroli
- MISEM, A.O. S. Maria della Misericordia, Università degli Studi di Perugia, Perugia, Italy
| | | | - Ferruccio Ceriotti
- Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Andrea Mosca
- Dip. Di Fisiopatologia medico-chirurgica e dei trapianti, Università degli Studi di Milano, Milano, Italy.
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