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Liu J, Wang X, Gao TY, Zhang Q, Zhang SN, Xu YY, Yao WQ, Yang ZH, Yan HJ. Red blood cell distribution width to albumin ratio associates with prevalence and long-term diabetes mellitus prognosis: an overview of NHANES 1999-2020 data. Front Endocrinol (Lausanne) 2024; 15:1362077. [PMID: 39114290 PMCID: PMC11303207 DOI: 10.3389/fendo.2024.1362077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 07/01/2024] [Indexed: 08/10/2024] Open
Abstract
Background Erythrocyte dysfunction is a characteristic of diabetes mellitus (DM). However, erythrocyte-associated biomarkers do not adequately explain the high prevalence of DM. Here, we describe red blood cell distribution width to albumin ratio (RAR) as a novel inflammatory biomarker for evaluating an association with DM prevalence and prognosis of all-cause mortality. Methods Data analyzed in this study were extracted from the National Health and Nutrition Examination Survey (NHANES) 1999-2020. A total of 40,558 participants (non-DM and DM) were enrolled in the study; RAR quartiles were calibrated at Q1 [2.02,2.82] mL/g, Q2 (2.82,3.05] mL/g, Q3 (3.05,3.38] mL/g, and Q4 (3.38,12.08] mL/g. A total of 8,482 DM patients were followed (for a median of 84 months), of whom 2,411 died and 6,071 survived. The prevalence and prognosis associated with RAR and DM were analyzed; age and sex were stratified to analyze the prevalence of RAR in DM and the sensitivity of long-term prognosis. Results Among non-DM (n=30,404) and DM (n=10,154) volunteers, DM prevalence in RAR quartiles was 8.23%, 15.20%, 23.92%, and 36.39%. The multivariable odds ratio (OR) was significant for RAR regarding DM, at 1.68 (95% CI 1.42, 1.98). Considering Q1 as a foundation, the Q4 OR was 2.57 (95% CI 2.11, 3.13). The percentages of DM morbidity varied across RAR quartiles for dead (n=2,411) and surviving (n=6,071) DM patients. Specifically, RAR quartile mortality ratios were 20.31%, 24.24%, 22.65%, and 29.99% (P<0.0001). The multivariable hazard ratio (HR) for RAR was 1.80 (95% CI 1.57, 2.05). Considering Q1 as a foundation, the Q4 HR was 2.59 (95% CI 2.18, 3.09) after adjusting for confounding factors. Sensitivity analysis revealed the HR of male DM patients to be 2.27 (95% CI 1.95, 2.64), higher than females 1.56 (95% CI 1.31, 1.85). DM patients who were 60 years of age or younger had a higher HR of 2.08 (95% CI1.61, 2.70) as compared to those older than 60 years, who had an HR of 1.69 (95% CI 1.47, 1.94). The HR of RAR in DM patients was optimized by a restricted cubic spline (RCS) model; 3.22 was determined to be the inflection point of an inverse L-curve. DM patients with a RAR >3.22 mL/g suffered shorter survival and higher mortality as compared to those with RAR ≤3.22 mL/g. OR and HR RAR values were much higher than those of regular red blood cell distribution width. Conclusions The predictive value of RAR is more accurate than that of RDW for projecting DM prevalence, while RAR, a DM risk factor, has long-term prognostic power for the condition. Survival time was found to be reduced as RAR increased for those aged ≤60 years among female DM patients.
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Affiliation(s)
- Jie Liu
- Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Xu Wang
- Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Tian ye Gao
- The Third Hospital of Guangxi University of Chinese Medicine, Liuzhou, Guangxi, China
| | - Qing Zhang
- People’s Hospital of Chongqing Banan District, Chongqing, China
| | - Sheng nan Zhang
- Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yuan yuan Xu
- Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Wen qiang Yao
- Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Zhen hua Yang
- Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cangzhou, Hebei, China
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Liang W, Liu C, Zhang J, Yi M, Cai Y, Zhang A, Liu L, Zhang L, Chen X, Zou Y, Chen Y, Guo Y, Zhang Y, Zhu X, Yang W. The elevation of red blood cell distribution width is an independent prognostic factor for juvenile myelomonocytic leukemia. BLOOD SCIENCE 2024; 6:e00186. [PMID: 38681968 PMCID: PMC11049728 DOI: 10.1097/bs9.0000000000000186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 02/27/2024] [Indexed: 05/01/2024] Open
Abstract
Juvenile myelomonocytic leukemia (JMML) is a disorder characterized by the simultaneous presence of myeloproliferative and myelodysplastic features, primarily affecting infants and young children. Due to the heterogeneous genetic background among patients, the current clinical and laboratory prognostic features are insufficient for accurately predicting outcomes. Thus, there is a pressing need to identify novel prognostic indicators. Red cell distribution width (RDW) is a critical parameter reflecting the variability in erythrocyte size. Recent studies have emphasized that elevated RDW serves as a valuable predictive marker for unfavorable outcomes across various diseases. However, the prognostic role of RDW in JMML remains unclear. Patients with JMML from our single-center cohort between January 2008 and December 2019 were included. Overall, 77 patients were eligible. Multivariate Cox proportional hazard models showed that patients with red cell distribution width coefficient of variation (RDW-CV) >17.35% at diagnosis were susceptible to much worse overall survival rate (hazard ratio [HR] = 5.22, confidence interval [CI] = 1.50-18.21, P = .010). Besides, the combination of RDW elevation and protein phosphatase non-receptor type 11 (PTPN11) mutation was likely to predict a subgroup with the worst outcomes in our cohort. RDW is an independent prognostic variable in JMML subjects. RDW may be regarded as an inexpensive biomarker to predict the clinical outcome in patients with JMML.
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Affiliation(s)
- Weiru Liang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Chenmeng Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Jingliao Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Meihui Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yuli Cai
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Aoli Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Lipeng Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Li Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Xiaojuan Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yao Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yumei Chen
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Ye Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Yingchi Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Xiaofan Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Wenyu Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Pan J, Sun J, Goncalves I, Kessler M, Hao Y, Engström G. Red cell distribution width and its polygenic score in relation to mortality and cardiometabolic outcomes. Front Cardiovasc Med 2023; 10:1294218. [PMID: 38054099 PMCID: PMC10694461 DOI: 10.3389/fcvm.2023.1294218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/03/2023] [Indexed: 12/07/2023] Open
Abstract
Introduction Elevated red cell distribution width (RDW) has been associated with a range of health outcomes. This study aims to examine prognostic and etiological roles of RDW levels, both phenotypic and genetic predisposition, in predicting cardiovascular outcomes, diabetes, chronic kidney disease (CKD) and mortality. Methods We studied 27,141 middle-aged adults from the Malmö Diet and Cancer study (MDCS) with a mean follow up of 21 years. RDW was measured with a hematology analyzer on whole blood samples. Polygenic scores for RDW (PGS-RDW) were constructed for each participant using genetic data in MDCS and published summary statistics from genome-wide association study of RDW (n = 408,112). Cox proportional hazards regression was used to assess associations between RDW, PGS-RDW and cardiovascular outcomes, diabetes, CKD and mortality, respectively. Results PGS-RDW was significantly associated with RDW (Pearson's correlation coefficient = 0.133, p < 0.001). RDW was significantly associated with incidence of stroke (hazard ratio (HR) per 1 standard deviation = 1.06, 95% confidence interval (CI): 1.02-1.10, p = 0.003), atrial fibrillation (HR = 1.09, 95% CI: 1.06-1.12, p < 0.001), heart failure (HR = 1.13, 95% CI: 1.08-1.19, p < 0.001), venous thromboembolism (HR = 1.21, 95% CI: 1.15-1.28, p < 0.001), diabetes (HR = 0.87, 95% CI: 0.84-0.90, p < 0.001), CKD (HR = 1.08, 95% CI: 1.03-1.13, p = 0.004) and all-cause mortality (HR = 1.18, 95% CI: 1.16-1.20, p < 0.001). However, PGS-RDW was significantly associated with incidence of diabetes (HR = 0.96, 95% CI: 0.94-0.99, p = 0.01), but not with any other tested outcomes. Discussion RDW is associated with mortality and incidence of cardiovascular diseases, but a significant association between genetically determined RDW and incident cardiovascular diseases were not observed. However, both RDW and PGS-RDW were inversely associated with incidence of diabetes, suggesting a putative causal relationship. The relationship with incidence of diabetes needs to be further studied.
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Affiliation(s)
- Jingxue Pan
- Division of Child Healthcare, Department of Paediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Jiangming Sun
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | | | - Yan Hao
- Division of Child Healthcare, Department of Paediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Regeneron Genetics Center, Tarrytown, NY, United States
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Abbas AB, Hazeb A, Al-Badani R, Al-Thmary B, Mokaram R, Al-Najjar S, Mothna S, Kssiam A, Esmail A, Al-Rashidi A. A case-control study to evaluate hematological indices in blood of diabetic and non-diabetic individuals in Ibb City, Yemen. Sci Rep 2023; 13:16730. [PMID: 37794107 PMCID: PMC10550932 DOI: 10.1038/s41598-023-43973-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 09/30/2023] [Indexed: 10/06/2023] Open
Abstract
Diabetes mellitus (DM) is a chronic, metabolic illness characterized by an elevation of blood sugar levels. Patients with diabetes show changes in hematological indices. The study aimed to determine hematological indices, ESR, CRP, blood pressure (BP), and weight and their relationship with a fasting blood sugar (FBS) level and different variables in diabetic mellitus patients (DM) compared with healthy control (HC). A total of 202 participants (102 DM group and 100 HC group) were selected randomly. Data were collected using a questionnaire. Blood samples were collected from different places and investigated in Zain Medical Laboratories in Ibb City, Yemen (September 2022 to May 2023). GraphPad Prim was used to analyze the results. P-value ≤ 0.05 was considered statistically significant. The mean and standard deviation of age, weight, gender, residence, marital status, education levels, economic status, regular exercise, following a strict diet, and family history of diabetes revealed significant differences between DM and HC groups (P < 0.0001, P = 0001, P = 0.0027, P = 0.0002, P < 0.0001, P < 0.0001, P = 0.0002, P = 0.0011, P < 0.0001 and P = 0.0001, respectively). FBS results, systolic and diastolic BP, MCV, WBCs, monocytes, eosinophils, and platelets displayed significant differences between both groups (P < 0.0001, P < 0.0001 and P = 0.0404, P = 0.0191, P < 0.0001, P = 0.0253, P < 0.0001, and P = 0.0229, respectively). ESR exhibited statistical significance (P < 0.0001), while CRP displayed no significance. A Pearson's correlation showed that weight, Hb, RBCs, PCV, and WBCs were statistically negatively correlated with FBS whereas other hematological indices showed no correlation with FBS. In conclusion, DM patients had relatively higher levels of MCV, WBCs, eosinophils, platelets and ESR than the control group.
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Affiliation(s)
- Abdul Baset Abbas
- Medical Laboratories Department, Faculty of Medicine and Health Sciences, Ibb University, Ibb City, Yemen.
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen.
| | - Alia Hazeb
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen
| | - Rawan Al-Badani
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen
| | - Boshra Al-Thmary
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen
| | - Rasha Mokaram
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen
| | - Somayah Al-Najjar
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen
| | - Shifa Mothna
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen
| | - Aziza Kssiam
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen
| | - Abeer Esmail
- Department of Medical Laboratories, Faculty of Medical Sciences, Aljazeera University, Ibb City, Yemen
- Department of Medical Microbiology, Faculty of Sciences, Ibb University, Ibb City, Yemen
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Nealon CL, Halladay CW, Gorman BR, Simpson P, Roncone DP, Canania RL, Anthony SA, Rogers LRS, Leber JN, Dougherty JM, Bailey JNC, Crawford DC, Sullivan JM, Galor A, Wu WC, Greenberg PB, Lass JH, Iyengar SK, Peachey NS. Association Between Fuchs Endothelial Corneal Dystrophy, Diabetes Mellitus, and Multimorbidity. Cornea 2023; 42:1140-1149. [PMID: 37170406 PMCID: PMC10523841 DOI: 10.1097/ico.0000000000003311] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 04/11/2023] [Indexed: 05/13/2023]
Abstract
PURPOSE The aim of this study was to assess risk for demographic variables and other health conditions that are associated with Fuchs endothelial corneal dystrophy (FECD). METHODS We developed a FECD case-control algorithm based on structured electronic health record data and confirmed accuracy by individual review of charts at 3 Veterans Affairs (VA) Medical Centers. This algorithm was applied to the Department of VA Million Veteran Program cohort from whom sex, genetic ancestry, comorbidities, diagnostic phecodes, and laboratory values were extracted. Single-variable and multiple variable logistic regression models were used to determine the association of these risk factors with FECD diagnosis. RESULTS Being a FECD case was associated with female sex, European genetic ancestry, and a greater number of comorbidities. Of 1417 diagnostic phecodes evaluated, 213 had a significant association with FECD, falling in both ocular and nonocular conditions, including diabetes mellitus (DM). Five of 69 laboratory values were associated with FECD, with the direction of change for 4 being consistent with DM. Insulin dependency and type 1 DM raised risk to a greater degree than type 2 DM, like other microvascular diabetic complications. CONCLUSIONS Female sex, European ancestry, and multimorbidity increased FECD risk. Endocrine/metabolic clinic encounter codes and altered patterns of laboratory values support DM increasing FECD risk. Our results evoke a threshold model in which the FECD phenotype is intensified by DM and potentially other health conditions that alter corneal physiology. Further studies to better understand the relationship between FECD and DM are indicated and may help identify opportunities for slowing FECD progression.
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Affiliation(s)
- Cari L. Nealon
- Eye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | - Christopher W. Halladay
- Center of Innovation in Long Term Services and Supports, Providence VA Medical Center, Providence, Rhode Island, USA
| | - Bryan R. Gorman
- VA Cooperative Studies Program, VA Boston Healthcare System, Boston, Massachusetts
- Booz Allen Hamilton, McLean, Virginia, USA
| | - Piana Simpson
- Eye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | - David P. Roncone
- Eye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | | | - Scott A. Anthony
- Eye Clinic, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | | | - Jenna N. Leber
- Ophthalmology Section, VA Western NY Health Care System, Buffalo, New York, USA
| | | | - Jessica N. Cooke Bailey
- Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Department of Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Research Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | - Dana C. Crawford
- Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Department of Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Research Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | - Jack M. Sullivan
- Ophthalmology Section, VA Western NY Health Care System, Buffalo, New York, USA
- Research Service, VA Western NY Health Care System, Buffalo, New York, USA
- Department of Ophthalmology (Ross Eye Institute), University at Buffalo-SUNY, Buffalo, New York, USA
| | - Anat Galor
- Miami Veterans Affairs Medical Center, Miami, Florida, USA
- Bascom Palmer Eye Institute, University of Miami, Miami, Florida, USA
| | - Wen-Chih Wu
- Cardiology Section, Medical Service, Providence VA Medical Center, Providence, Rhode Island, USA
| | - Paul B. Greenberg
- Ophthalmology Section, Providence VA Medical Center, Providence, Rhode Island, USA
- Division of Ophthalmology, Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | | | - Jonathan H. Lass
- Department of Ophthalmology & Visual Sciences, Case Western Reserve University, Cleveland, Ohio, USA
- University Hospitals Eye Institute, Cleveland, Ohio, USA
| | - Sudha K. Iyengar
- Cleveland Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Department of Population & Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Research Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
| | - Neal S. Peachey
- Research Service, VA Northeast Ohio Healthcare System, Cleveland, Ohio, USA
- Cole Eye Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA
- Department of Ophthalmology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio, USA
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Fu X, Tan Q, Wei W, Ding S, Wang Z. The relationship between red blood cell distribution width and islet β-cell function indexes in patients with latent autoimmune diabetes in adults. BMC Endocr Disord 2023; 23:180. [PMID: 37620783 PMCID: PMC10463511 DOI: 10.1186/s12902-023-01435-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/17/2023] [Indexed: 08/26/2023] Open
Abstract
AIMS The objective of this study is to explore the relationship between red blood cell distribution and islet β-cell function indexes in patients with Latent Autoimmune Diabetes in Adults. METHODS A total of 487 LADA patients were enrolled in this cross-sectional study. Patients were divided into three groups according to RDW tertiles. Clinical and laboratory measurements of age, height, weight, duration of diabetes, blood pressure, RDW, glycosylated hemoglobin A1c (HbA1c), C-peptide and blood lipids were performed. Homeostasis model assessment of insulin resistance (HOMA-IR) and homeostasis model assessment of β-cell function (HOMA-β) were assessed using homeostasis model assessment (HOMA) based on fasting blood glucose (FBG) and fasting C-peptide index (FCP). Correlations and multiple linear regressions were implemented to determine the association of RDW and islet function indexes. RESULTS As the increase of serum RDW level, the presence of β-cell secretion increased(P < 0.05). Correlation analysis indicated that there were significant correlations between RDW and male sex, age, duration, TG, Cr, FCP, and HOMA-β in all subjects. Multiple linear regressions indicated that RDW was significantly correlated with HOMA-β in the total population in both unadjusted and adjusted analysis. This finding could be reproduced in the subgroup of low GAD titers for HOMA-β. RDW were significantly associated with HbA1c in LADA patients with high GAD titers, but the correlation was not found in subgroup with low GAD titers in either unadjusted analyses or adjusted analysis. CONCLUSIONS RDW is associated with β-cell function assessed by HOMA-β after adjusting for covariates in LADA patients with low GAD titers.
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Affiliation(s)
- Xiuli Fu
- 1Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Qin Tan
- 1Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Wei Wei
- 1Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Sheng Ding
- 1Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Zhongjing Wang
- 1Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, China.
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Lundy C, Fessler SN, Johnston CS. Erythrocyte osmotic fragility is not linked to vitamin C nutriture in adults with well-controlled type 2 diabetes. Front Nutr 2022; 9:954010. [PMID: 36034913 PMCID: PMC9412951 DOI: 10.3389/fnut.2022.954010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/25/2022] [Indexed: 12/19/2022] Open
Abstract
Erythrocyte fragility is amplified by oxidative stress and linked to diabetes-specific microvascular disease. Vitamin C supplementation improves glycemic indices in adults with type 2 diabetes (T2D) by improving antioxidant status. This cross-sectional study examined the relationships between vitamin C status and erythrocyte osmotic fragility in adults with or without T2D. Participants provided a fasting blood sample for erythrocyte osmotic fragility testing as a function of hypotonic NaCl concentrations. Additionally, plasma was stabilized with metaphosphoric acid prior to vitamin C analysis using isocratic reverse-phase UV-HPLC separation. Participants were grouped as diagnosed T2D (n = 14; 36% female; 55.5 ± 8.2 y; 31.5 ± 9.0 kg/m2; HbA1c: 7.4 ± 1.9%; plasma vitamin C: 36.0 ± 12.2 μM) or no diabetes (n = 16; 69% female; 38.7 ± 13.5 y; 26.8 ± 6.6 kg/m2; HbA1c: 5.4 ± 0.3%; plasma vitamin C: 34.8 ± 10.9 μM). Participant characteristics differed between groups only for age and hemoglobin A1c (HbA1c; p < 0.05). All hemolysis parameters were in normal ranges for the participants with T2D, and no significant differences in hemolysis parameters were noted between those with or without T2D. However, among participants with T2D, the NaCl concentration eliciting 50% hemolysis was higher for those with low (<7%) vs. high (>7%) HbA1c values (p = 0.037) indicating a slightly higher erythrocyte fragility in the former group. Vitamin C status did not impact any of the hemolysis parameters in adults with or without T2D. Thus, erythrocyte fragility was not elevated in T2D, and vitamin C nutriture was not related to erythrocyte fragility in adults with well-controlled T2D.
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Affiliation(s)
- Ciara Lundy
- Nutrition Program, College of Health Solutions, Arizona State University, Phoenix, AZ, United States
| | - Samantha N Fessler
- Nutrition Program, College of Health Solutions, Arizona State University, Phoenix, AZ, United States
| | - Carol S Johnston
- Nutrition Program, College of Health Solutions, Arizona State University, Phoenix, AZ, United States
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Ebrahim H, Fiseha T, Ebrahim Y, Bisetegn H. Comparison of hematological parameters between type 2 diabetes mellitus patients and healthy controls at Dessie comprehensive specialized hospital, Northeast Ethiopia: Comparative cross-sectional study. PLoS One 2022; 17:e0272145. [PMID: 35895700 PMCID: PMC9328522 DOI: 10.1371/journal.pone.0272145] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 07/13/2022] [Indexed: 11/23/2022] Open
Abstract
Background Diabetes mellitus (DM) is a chronic condition associated with raised levels of blood glucose due to the body cannot produce any or enough insulin hormone or cannot be effectively utilized the produced insulin by the body. Patients with poorly controlled diabetes show a significant alteration in various parameters including metabolic, cellular, immunological, and hematological disturbances that leads to vascular complications. Thus, the main aim of this study is to compare hematological parameters between type 2 diabetes mellitus (T2DM) patients and healthy controls. Methods A comparative cross-sectional study was conducted in Dessie comprehensive specialized hospital from January to June 2021. A total of 240 study participants consisting of 120 T2DM patients and 120 healthy controls were recruited using a systematic random sampling technique. Hematological parameters were determined using the DIRUI BF6500 automated hematology analyzer. Independent T-test was used to compare the mean of hematological parameters between T2DM patients and healthy controls. Pearson correlation test was used to determine the correlation between FBG, BMI, SBP, DBP, and hematological parameters in T2DM patients. Multivariate logistic regression was used to assess the association between socio-demographic and clinical variables with anemia. The result was expressed in mean and standard deviation and presented in texts and tables. P-value < 0.05 was considered to be statistically significant. Results The mean and standard deviation of monocyte count, basophil count, monocyte %, basophil %, RBC count, hematocrit, MCV, MCH, RDW-SD, MPV, PDW, PLC-R, and plateletcrit showed a significant difference between T2DM patients and healthy control group. Pearson correlation coefficient showed that the total WBC count, neutrophil count, monocyte count, basophil count, RDW-CV, PDW, MPV, PLC-R, and plateletcrit were statistically positively correlated with FBG whereas RBC count, Hgb, hematocrit, MCV, MCH, and RDW-SD were statistically negatively correlated with FBG in T2DM patients. Moreover, total WBC count, neutrophil count, monocyte count, basophil count, Hgb, and plateletcrit were statistically positively correlated with BMI while RBC count, Hgb, hematocrit, MCV, MCH, and RDW-SD were statistically negatively correlated with BMI in T2DM patients. On the other hand, DBP was significantly positively correlated with platelet count and RDW-CV whereas SBP also significantly positively correlated with total WBC count, neutrophil count, basophil count, and PDW. Besides, DBP and SBP showed statistically significant negative correlations with RBC count, Hgb level, and Hct value in T2DM patients. The overall prevalence of anemia was 25.8% in T2DM patients with a higher prevalence of anemia (16.7%) in female patients. Multivariate logistic regression revealed that being non-employee worker (AOR: 3.6, 95% CI, 1.4–46.0, P = 0.002), presence of neuropathy (AOR: 13.40, 95% CI, 6.83–26.28, P = 0.00), and duration of the disease ≥ 5 years (AOR = 3.2, 95% CI, 1.2–15.3, P = 0.03) have had statistically significant association with anemia inT2DM patients. Conclusions Patients with T2DM may have significant alterations in various hematological parameters. Hematological parameters should be regularly tested for early diagnosis and proper management of diabetes-related complications.
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Affiliation(s)
- Hussen Ebrahim
- Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
- * E-mail:
| | - Temesgen Fiseha
- Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
| | - Yesuf Ebrahim
- Department of Medical Laboratory Sciences, Dessie Health Science College, Dessie, Ethiopia
| | - Habtye Bisetegn
- Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
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Anastasiadi AT, Arvaniti VZ, Paronis EC, Kostomitsopoulos NG, Stamoulis K, Papassideri IS, D’Alessandro A, Kriebardis AG, Tzounakas VL, Antonelou MH. Corpuscular Fragility and Metabolic Aspects of Freshly Drawn Beta-Thalassemia Minor RBCs Impact Their Physiology and Performance Post Transfusion: A Triangular Correlation Analysis In Vitro and In Vivo. Biomedicines 2022; 10:biomedicines10030530. [PMID: 35327331 PMCID: PMC8945797 DOI: 10.3390/biomedicines10030530] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/03/2022] [Accepted: 02/22/2022] [Indexed: 02/06/2023] Open
Abstract
The clarification of donor variation effects upon red blood cell (RBC) storage lesion and transfusion efficacy may open new ways for donor–recipient matching optimization. We hereby propose a “triangular” strategy for studying the links comprising the transfusion chain—donor, blood product, recipient—as exemplified in two cohorts of control and beta-thalassemia minor (βThal+) donors (n = 18 each). It was unraveled that RBC osmotic fragility and caspase-like proteasomal activity can link both donor cohorts to post-storage states. In the case of heterozygotes, the geometry, size and intrinsic low RBC fragility might be lying behind their higher post-storage resistance to lysis and recovery in mice. Moreover, energy-related molecules (e.g., phosphocreatine) and purine metabolism factors (IMP, hypoxanthine) were specifically linked to lower post-storage hemolysis and phosphatidylserine exposure. The latter was also ameliorated by antioxidants, such as urate. Finally, higher proteasomal conservation across the transfusion chain was observed in heterozygotes compared to control donors. The proposed “triangularity model” can be (a) expanded to additional donor/recipient backgrounds, (b) enriched by big data, especially in the post-transfusion state and (c) fuel targeted experiments in order to discover new quality biomarkers and design more personalized transfusion medicine schemes.
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Affiliation(s)
- Alkmini T. Anastasiadi
- Department of Biology, Section of Cell Biology and Biophysics, School of Science, National and Kapodistrian University of Athens (NKUA), 15784 Athens, Greece; (A.T.A.); (V.-Z.A.); (I.S.P.)
| | - Vasiliki-Zoi Arvaniti
- Department of Biology, Section of Cell Biology and Biophysics, School of Science, National and Kapodistrian University of Athens (NKUA), 15784 Athens, Greece; (A.T.A.); (V.-Z.A.); (I.S.P.)
| | - Efthymios C. Paronis
- Center of Clinical, Experimental Surgery & Translational Research, Biomedical Research Foundation, Academy of Athens (BRFAA), 11527 Athens, Greece; (E.C.P.); (N.G.K.)
| | - Nikolaos G. Kostomitsopoulos
- Center of Clinical, Experimental Surgery & Translational Research, Biomedical Research Foundation, Academy of Athens (BRFAA), 11527 Athens, Greece; (E.C.P.); (N.G.K.)
| | | | - Issidora S. Papassideri
- Department of Biology, Section of Cell Biology and Biophysics, School of Science, National and Kapodistrian University of Athens (NKUA), 15784 Athens, Greece; (A.T.A.); (V.-Z.A.); (I.S.P.)
| | - Angelo D’Alessandro
- Department of Biochemistry and Molecular Genetics, School of Medicine, Anschutz Medical Campus, University of Colorado, Aurora, CO 80045, USA;
| | - Anastasios G. Kriebardis
- Laboratory of Reliability and Quality Control in Laboratory Hematology (HemQcR), Department of Biomedical Sciences, School of Health & Welfare Sciences, University of West Attica (UniWA), 12243 Egaleo, Greece;
| | - Vassilis L. Tzounakas
- Department of Biology, Section of Cell Biology and Biophysics, School of Science, National and Kapodistrian University of Athens (NKUA), 15784 Athens, Greece; (A.T.A.); (V.-Z.A.); (I.S.P.)
- Correspondence: (V.L.T.); (M.H.A.)
| | - Marianna H. Antonelou
- Department of Biology, Section of Cell Biology and Biophysics, School of Science, National and Kapodistrian University of Athens (NKUA), 15784 Athens, Greece; (A.T.A.); (V.-Z.A.); (I.S.P.)
- Correspondence: (V.L.T.); (M.H.A.)
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Knychala MA, Garrote-Filho MDS, Batista da Silva B, Neves de Oliveira S, Yasminy Luz S, Marques Rodrigues MO, Penha-Silva N. Red cell distribution width and erythrocyte osmotic stability in type 2 diabetes mellitus. J Cell Mol Med 2021; 25:2505-2516. [PMID: 33591627 PMCID: PMC7933938 DOI: 10.1111/jcmm.16184] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/30/2020] [Accepted: 11/07/2020] [Indexed: 12/15/2022] Open
Abstract
This study aimed to investigate the relationship between red cell distribution width (RDW) and erythrocyte osmotic stability in non‐diabetic and diabetic individuals in both sexes. The study sample (N = 122) was constituted by 53 type 2 diabetics (DM) and 69 non‐diabetics (ND), being 21 and 22 men in each group, respectively. The osmotic stability of erythrocytes was obtained by the variation in saline concentration (dX) capable of determining hypoosmotic lysis. Higher RDW values and lower serum iron concentrations were found in the diabetic group when compared to the non‐diabetic volunteers. In the group of diabetic women, RDW was positively correlated with the reticulocyte index, and both RDW and dX were negatively correlated with iron, haemoglobin, transferrin saturation index, mean corpuscular haemoglobin and mean corpuscular haemoglobin concentration. In all the groups studied, RDW was positively correlated with dX, especially in the diabetic group, where the correlation was the strongest. RDW elevation in both women and men with type 2 diabetes mellitus was associated with decreased serum iron indicators. Furthermore, RDW has a similar meaning to dX, as small erythrocytes have less haemoglobin, resulting in both an increase of RDW and dX.
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Affiliation(s)
| | | | | | | | - Sarah Yasminy Luz
- Institute of Biotechnology, Federal University of Uberlândia, Uberlândia, Brazil
| | | | - Nilson Penha-Silva
- Institute of Biotechnology, Federal University of Uberlândia, Uberlândia, Brazil
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