scholarly journals Glycoprotein Profile Measured by a 1H-Nuclear Magnetic Resonance Based on Approach in Patients with Diabetes: A New Robust Method to Assess Inflammation

Life ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1407
Author(s):  
Núria Amigó ◽  
Rocío Fuertes-Martín ◽  
Ana Irene Malo ◽  
Núria Plana ◽  
Daiana Ibarretxe ◽  
...  
Keyword(s):  
1H Nmr ◽  
Synergetic Effect ◽  
Study Groups ◽  
Atherogenic Dyslipidemia ◽  
Classification Models ◽  
Reactive Protein ◽  
1H Nuclear Magnetic Resonance ◽  
Patients With Diabetes ◽  
Plasma Glycoprotein ◽  
Two Peaks

Patients with type 2 diabetes mellitus (T2DM) and atherogenic dyslipidemia (AD) are at higher risk of developing cardiovascular diseases (CVDs), so an interest in discovering inflammation biomarkers as indicators of processes related to CVD progression is increasing. This study aims (a) to characterize the plasma glycoprotein profile of a cohort of 504 participants, including patients with and without T2DM and/or AD and controls, and (b) to study the associations between the glycoprotein profile and other lipid and clinical variables in these populations. We characterized the plasma glycoprotein profiles by using 1H-NMR. We quantified the two peaks associated with the concentration of plasma glycoproteins (GlycA and GlycB) and their height/width ratios (H/W GlycA and H/W GlycB), as higher and narrower signals have been related to inflammation. We also quantified GlycF, the signal of which is proportional to the concentration of the acetyl groups of free N-acetylglucosamine, N-acetylgalactosamine, and N-acetylneuraminic in the samples. The lipoprotein profile was also determined (Liposcale®). Standard clinical and anthropometric measurements were taken. Multivariate classification models were developed to study the differences between the study groups. Reduced HDL-C levels, increased small dense LDL and HDL particles, and elevated TG levels were significantly associated with glycoprotein variables. Glycoprotein values in the diagnostic groups were significantly different from those in the CT groups. AD and DM conditions together contribute to a positive and significant synergetic effect on the GlycA area (<0.05) and the H/W ratios of GlycA (<0.01) and GlycB (<0.05). By adding the new glycoprotein variables to the traditionally used marker of inflammation C-reactive protein (CRP), the AUC increased sharply for classification models between the CT group and the rest (0.68 to 0.84), patients with and without dyslipidemia (0.54 to 0.86), and between patients with and without diabetes (0.55 to 0.75). 1H-NMR-derived glycoproteins can be used as possible markers of the degree of inflammation associated with T2DM and AD.

scholarly journals Predictors of hospital discharge and mortality in patients with diabetes and COVID-19: updated results from the nationwide CORONADO study

Diabetologia ◽  
2021 ◽  
Vol 64 (4) ◽  
pp. 778-794 ◽  
Author(s):  
Matthieu Wargny ◽  
◽  
Louis Potier ◽  
Pierre Gourdy ◽  
Matthieu Pichelin ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Hospital Discharge ◽  
Microvascular Complications ◽  
White Cell Count ◽  
Symptom Duration ◽  
Protein Levels ◽  
Reactive Protein ◽  
Patients With Diabetes ◽  
History Of ◽  
Routine Therapy

Abstract Aims/hypothesis This is an update of the results from the previous report of the CORONADO (Coronavirus SARS-CoV-2 and Diabetes Outcomes) study, which aims to describe the outcomes and prognostic factors in patients with diabetes hospitalised for coronavirus disease-2019 (COVID-19). Methods The CORONADO initiative is a French nationwide multicentre study of patients with diabetes hospitalised for COVID-19 with a 28-day follow-up. The patients were screened after hospital admission from 10 March to 10 April 2020. We mainly focused on hospital discharge and death within 28 days. Results We included 2796 participants: 63.7% men, mean age 69.7 ± 13.2 years, median BMI (25th–75th percentile) 28.4 (25.0–32.4) kg/m2. Microvascular and macrovascular diabetic complications were found in 44.2% and 38.6% of participants, respectively. Within 28 days, 1404 (50.2%; 95% CI 48.3%, 52.1%) were discharged from hospital with a median duration of hospital stay of 9 (5–14) days, while 577 participants died (20.6%; 95% CI 19.2%, 22.2%). In multivariable models, younger age, routine metformin therapy and longer symptom duration on admission were positively associated with discharge. History of microvascular complications, anticoagulant routine therapy, dyspnoea on admission, and higher aspartate aminotransferase, white cell count and C-reactive protein levels were associated with a reduced chance of discharge. Factors associated with death within 28 days mirrored those associated with discharge, and also included routine treatment by insulin and statin as deleterious factors. Conclusions/interpretation In patients with diabetes hospitalised for COVID-19, we established prognostic factors for hospital discharge and death that could help clinicians in this pandemic period. Trial registration Clinicaltrials.gov identifier: NCT04324736 Graphical abstract

P1279INSULIN RESISTANCE IN HEMODIALYSIS PATIENS

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Pavel Filinyuk ◽  
Aleksander Rumyantsev
Keyword(s):  
Insulin Resistance ◽  
Systemic Inflammation ◽  
Clinical Manifestations ◽  
Biological Response ◽  
Fold Increase ◽  
Atherogenic Dyslipidemia ◽  
Model Assessment ◽  
Peripheral Tissues ◽  
Reactive Protein ◽  
Homeostatic Model Assessment

Abstract Background and Aims insulin resistance (IR) is a decrease in the biological response of sensitive tissues to insulin. IR is known as an adverse risk factor in cardiovascular disease, which largely determines the prognosis of patients receiving hemodialysis (HD). But this issue is not well understood. For the screening of IR, special indices have been developed that characterize the sensitivity of tissues to insulin. The aim of the study was to compare the methods of screening for IR in patients receiving HD in relation to the markers of systemic inflammation and atherogenic dyslipidemia (AtD). Method 124 patients receiving HD for 75.4 ± 44.5 months were examined including 66 men and 58 women aged 57.6 ± 13.6 years. For IR screening, the Homeostatic Model Assessment-1 and 2 indices (HOMA-1 and HOMA-2), the Quantitative Insulin Sensitivity Check Index (QUICKI) and triglycerides / glucose (Tri/G) were used. Patients were examined in accordance with the recommendations of KDIGO. Data analysis was carried out using “STATISTICA 10.0”. Results fasting insulin levels were elevated in 19% of patients. But, the calculated indices were consistent with the idea that IR is much more common. So, the IR index in the HOMA -1 model was increased in 47%, in the HOMA -2 model - in 33%, in the QUICKI model - in 36%, the TriH indicator - in 91%. The sensitivity of peripheral tissues in the HOMA-1 and HOMA-2 models was equally reduced by 35-40%. The results of the correlation analysis between indicators of IR and plasma concentration of C-reactive protein and lipid profile are presented in table 1. Informativeness of IR indicators depending on the presence of obesity is presented in table 2 We were also interested in whether insulin resistance affects the development of clinical manifestations of atherosclerosis, cardiac arrhythmias, and heart failure. An analysis of this relationship did not reveal. Only the IR index in the HOMA-1 model with a value of more than 2.7 units was associated with a 4.5-fold increase in the risk of developing clinical manifestations of atherosclerotic lesions (χ2 = 4.582 p = 0.032). Statistically significant it was only in men. Given our data, perhaps IR is one of the reasons for the higher morbidity and mortality of men at HD. Conclusion a comparison of IR models allows us to distinguish HOMA-2 as the most accurate index. The highest correlation with systemic inflammation and AtD was in the HOMA-1 and HOMA-2 indices.

Hemodialysis Patients with Pruritus and Insomnia Have Increased Risk of Death

2020 ◽  
Vol 49 (4) ◽  
pp. 419-425
Author(s):  
Olga Hilda Orasan ◽  
Flaviu Muresan ◽  
Augustin Mot ◽  
Adela Sitar Taut ◽  
Iulia Minciuna ◽  
...  
Keyword(s):  
Study Groups ◽  
Poor Quality ◽  
Exclusion Criteria ◽  
Reactive Protein ◽  
Risk Of Death ◽  
Survival Difference ◽  
Increased Risk ◽  
Laboratory Features ◽  
Impact On Survival

Background: Pruritus and insomnia are common disorders in hemodialysis (HD) patients, with a major clinical impact as they are associated with poor quality of life and increased mortality. Their coexistence and impact on survival in HD patients have rarely been investigated. Our aim is to investigate the survival of HD patients presenting either none, one, or both disorders and to compare certain features between these groups. Methods: After the inclusion/exclusion criteria, 170 patients treated by HD or online hemodiafiltration were assigned in 4 study groups depending on the presence of either, neither, or both pruritus and insomnia. We analyzed the survival difference between groups after 20 months, and we searched if there were significant differences in terms of clinical and laboratory features. Results: Survival at 20 months was lower in patients with both pruritus and insomnia. Patients with pruritus alone had a lower Kt/V than those with no complaints or insomnia alone. Those with no complaints had lower C-reactive protein and higher albumin levels than patients with insomnia alone or both conditions. Conclusion: Pruritus and insomnia should be actively investigated and correlated with some clinical and laboratory features as they have a significant impact on survival in HD patients.

scholarly journals Role of Roxadustat in Improving Erythropoiesis-Stimulating Agent (ESA)-Resistant Anemia in Patients on Maintenance Hemodialysis

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 47-47
Author(s):  
Satoshi Funakoshi
Keyword(s):  
Iron Metabolism ◽  
Conflicts Of Interest ◽  
Hypoxia Inducible Factor ◽  
Transferrin Saturation ◽  
Hemodialysis Patients ◽  
Maintenance Hemodialysis ◽  
Reactive Protein ◽  
Study Results ◽  
Dialysis Vintage ◽  
Patients With Diabetes

Background: Roxadustat, an oral hypoxia-inducible factor (HIF) prolyl hydroxylase inhibitor, is shown to stimulate erythropoiesis thus improving iron metabolism. Again, while hyperglycemic states are known to be associated with a decreased tissue hypoxia response, to date, roxadustat has not been revaluated for its role in improving anemia in patients with or without diabetes in clinical settings. Methods: A total of 64 hemodialysis patients being treated with epoetin α (9000 units weekly) participated in the study after giving informed consent. They were switched from intravenous epoetin α to oral roxadustat (100 mg 3 times weekly) therapy and were assessed 8 weeks later for improvements in anemia, as well as for changes in parameters for iron metabolism and C-reactive protein (CRP). Results: The study included 39 patients without diabetes (mean age, 71.1 ± 12.1 years; mean dialysis vintage, 7.5 ± 7.4 years; mean GA, 16.2 ± 2.9%) and 27 patients with diabetes (mean age, 70.3 ± 10.3 years; mean dialysis vintage, 5.9 ± 5.5 years; mean GA, 24.9 ± 5.5%). As shown in Table, after 8 weeks the Hb concentration was significantly increased from 10.3 ± 0.8 g/dL at baseline to 10.7 ± 1.3 g/dL in patients without diabetes (P = 0.03) but was not increased in patients with diabetes (from 10.4 ± 0.6 at baseline to 10.5 ± 1.1 g/dL). Again, the serum iron, ferritin concentrations and the transferrin saturation ratio were decreased, irrespective of whether or not they had diabetes, with no change shown in serum CRP level. Conclusion: Switching hemodialysis patients with ESA-resistant anemia from ESA to roxadustat led to improvements in anemia only in those without diabetes, while study results suggested the involvement of mechanisms, other than impaired iron utilization or inflammation, in the impairment of hematopoiesis in those with diabetes. Table Disclosures No relevant conflicts of interest to declare.

scholarly journals Clinical Characteristics and Outcomes of Diabetic COVID-19 patients in Kuwait

2020 ◽  
Author(s):  
Abdullah Alshukry ◽  
Mohammad Bu Abbas ◽  
Yaseen Ali ◽  
Barrak Alahmad ◽  
Abdullah A. Al-Shammari ◽  
...  
Keyword(s):  
Clinical Characteristics ◽  
Clinical Laboratory ◽  
Fasting Blood Glucose ◽  
List Type ◽  
Laboratory Findings ◽  
Reactive Protein ◽  
Patients With Diabetes ◽  
Laboratory Investigations ◽  
Insight Into ◽  
Variable Clinical Presentation

AbstractBackgroundCOVID-19 has a highly variable clinical presentation, ranging from asymptomatic to severe respiratory symptoms and death. Diabetes seems to be one of the main comorbidities contributing to a worse COVID-19 outcome.ObjectiveIn here we analyze the clinical characteristics and outcomes of diabetic COVID-19 patients.MethodsIn this single-center, retrospective study of 417 consecutive COVID-19 patients, we analyze and compare disease severity, outcome, associated complications, and clinical laboratory findings between diabetic and non-diabetic COVID-19 patients.ResultsCOVID-19 patients with diabetes had more severe outcomes and higher mortality than non-diabetic COVID-19 patients. Diabetic COVID-19 patients had significantly higher prevalence of comorbidities, such as hypertension. Laboratory investigations also highlighted notably higher levels of C-reactive protein in diabetic COVID019 patients and lower estimated glomerular filtration rate. They also showed a higher incidence of complications.ConclusionDiabetes could be a major contributor to worsening outcomes in COVID-19 patients. Understanding the pathophysiology underlining these findings could provide insight into better management and improved outcome of such cases.Highlights of the StudyA significantly higher proportion of Diabetic COVID-19 patients required admission to the ICU.Higher fasting blood glucose was associated with higher risk of COVID-19 associated mortality.Diabetic COVID-19 patients had significantly higher incidence of complications including sepsis, ARDS, cardiac failure and renal failure.

scholarly journals Title: Human Serum/Plasma Glycoprotein Analysis by 1H-NMR, an Emerging Method of Inflammatory Assessment

2020 ◽  
Vol 9 (2) ◽  
pp. 354 ◽  
Author(s):  
Fuertes-Martín ◽  
Correig ◽  
Vallvé ◽  
Amigó
Keyword(s):  
1H Nmr ◽  
Systemic Inflammation ◽  
Metabolic Diseases ◽  
Inflammatory Diseases ◽  
Inflammatory Marker ◽  
Point Of View ◽  
Proton Nuclear Magnetic Resonance ◽  
New Paradigm ◽  
Reactive Protein ◽  
Wide Range

Several studies suggest that variations in the concentration of plasma glycoproteins can influence cellular changes in a large number of diseases. In recent years, proton nuclear magnetic resonance (1H-NMR) has played a major role as an analytical tool for serum and plasma samples. In recent years, there is an increasing interest in the characterization of glycoproteins through 1H-NMR in order to search for reliable and robust biomarkers of disease. The objective of this review was to examine the existing studies in the literature related to the study of glycoproteins from an analytical and clinical point of view. There are currently several techniques to characterize circulating glycoproteins in serum or plasma, but in this review, we focus on 1H-NMR due to its great robustness and recent interest in its translation to the clinical setting. In fact, there is already a marker in H-NMR representing the acetyl groups of the glycoproteins, GlycA, which has been increasingly studied in clinical studies. A broad search of the literature was performed showing a general consensus that GlycA is a robust marker of systemic inflammation. The results also suggested that GlycA better captures systemic inflammation even more than C-reactive protein (CRP), a widely used classical inflammatory marker. The applications reviewed here demonstrated that GlycA was potentially a key biomarker in a wide range of diseases such as cancer, metabolic diseases, cardiovascular risk, and chronic inflammatory diseases among others. The profiling of glycoproteins through 1H-NMR launches an encouraging new paradigm for its future incorporation in clinical diagnosis.

scholarly journals Evaluations of the Peroxidative Susceptibilities of Cod Liver Oils by a 1H NMR Analysis Strategy: Peroxidative Resistivity of a Natural Collagenous and Biogenic Amine-Rich Fermented Product

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 753
Author(s):  
Benita C. Percival ◽  
Angela Wann ◽  
Richard Zbasnik ◽  
Vicki Schlegel ◽  
Mark Edgar ◽  
...  
Keyword(s):  
1H Nmr ◽  
Biogenic Amine ◽  
Analytical Data ◽  
Cod Liver Oil ◽  
Nmr Analysis ◽  
Spectrophotometric Methods ◽  
Long Term Storage ◽  
Fermented Product ◽  
1H Nuclear Magnetic Resonance ◽  
Analysis Strategy

High-resolution 1H nuclear magnetic resonance (NMR) analysis was employed to molecularly screen the lipid, lipid oxidation product (LOP), and antioxidant compositions of four natural (unrefined) cod liver oil (CLO) products. Products 1–3 were non-fermented CLOs, whilst Product 4 was isolated from pre-fermented cod livers. Supporting analytical data that were acquired included biogenic amine, flavanone, tannin, phenolic antioxidant, α-tocopherol, and oxygen radical absorbance capacity (ORAC) determinations by recommended HPLC, LC/MS/MS, or spectrophotometric methods. SDS-PAGE, HPLC, and 1H NMR analyses investigated and determined collagenous antioxidants and their molecular mass ranges. 1H NMR analysis of aldehydic LOPs was employed to explore the susceptibilities/resistivities of each CLO product to peroxidation that is induced by thermal stressing episodes (TSEs) at 180°C, or following prolonged (42 day) storage episodes at 4 and 23 °C. Product 4 displayed extremely high ORAC values, which were much greater than those of Products 1–3, and that were predominantly ascribable to significant levels of peroxidation-blocking and/or aldehyde-consuming collagenous polypeptides/peptides and ammoniacal agents therein. Significantly lower levels of toxic aldehydes were generated in the pre-fermented Product 4 during exposure to TSEs, or the above long-term storage episodes. These results confirmed the enhanced peroxidative resistivity of a fermented, antioxidant-fortified natural CLO product over those of non-fermented unrefined products. Product 4: Green Pasture Blue Ice™ Fermented Cod Liver Oil.

scholarly journals Application of 1H-NMR Metabolomics for the Discovery of Blood Plasma Biomarkers of a Mediterranean Diet

Metabolites ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 201 ◽  
Author(s):  
Shirin Macias ◽  
Joseph Kirma ◽  
Ali Yilmaz ◽  
Sarah E. Moore ◽  
Michelle C. McKinley ◽  
...  
Keyword(s):  
Citric Acid ◽  
Mediterranean Diet ◽  
1H Nmr ◽  
Pyruvic Acid ◽  
Plasma Metabolites ◽  
Dietary Biomarkers ◽  
Metabolomic Profiling ◽  
1H Nuclear Magnetic Resonance ◽  
Sweet Foods ◽  
The Mediterranean

The Mediterranean diet (MD) is a dietary pattern well-known for its benefits in disease prevention. Monitoring adherence to the MD could be improved by discovery of novel dietary biomarkers. The MEDiterranean Diet in Northern Ireland (MEDDINI) intervention study monitored the adherence of participants to the MD for up to 12 months. This investigation aimed to profile plasma metabolites, correlating each against the MD score of participants (n = 58). Based on an established 14-point scale MD score, subjects were classified into two groups (“low” and “high”). 1H-Nuclear Magnetic Resonance (1H-NMR) metabolomic analysis found that citric acid was the most significant metabolite (p = 5.99 × 10−4*; q = 0.03), differing between ‘low’ and ‘high’. Furthermore, five additional metabolites significantly differed (p < 0.05; q < 0.35) between the two groups. Discriminatory metabolites included: citric acid, pyruvic acid, betaine, mannose, acetic acid and myo-inositol. Additionally, the top five most influential metabolites in multivariate models were also citric acid, pyruvic acid, betaine, mannose and myo-inositol. Metabolites significantly correlated with the consumption of certain food types. For example, citric acid positively correlated fruit, fruit juice and vegetable constituents of the diet, and negatively correlated with sweet foods alone or when combined with carbonated drinks. Citric acid was the best performing biomarker and this was enhanced by paired ratio with pyruvic acid. The present study demonstrates the utility of metabolomic profiling for effectively assessing adherence to MD and the discovery of novel dietary biomarkers.

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