Association between plasma Beta-2 microglobulin level and cardiac performance in patients with chronic kidney disease

Elevated concentration of beta2-microglobulin among patients with carpal tunnel syndrome in the course of primary Sjögren syndrome - a prospective observational study on 50 patients

INTRODUCTION

Sjögren's syndrome (SS) is a chronic autoimmune disease characterized by lymphocytic infiltrates in the exocrine glands. Carpal tunnel syndrome (CTS) is suggested to be more frequent among SS patients than in the general population. The aim of this study was to seek associations between the CTS and the laboratory and clinical findings of SS patients.

METHODS

Fifty patients diagnosed with primary SS (pSS) were examined. Clinical evaluation by a rheumatologist and electrophysiological studies were conducted. Data on laboratory tests results was collected. Control group consisted of 50 sex and age-matched individuals with osteoarthritis (OA).

RESULTS

Out of 50 patients in the study group 27 (54%) were diagnosed with CTS. The prevalence of CTS among 50 individuals in the control group was 8%. Among pSS patients with CTS the joint involvement was not more common than in those from the non-CTS group [15 vs. 13 (p = 0.945)]. There was an expected difference in sleep disorders [18 vs. 9 (p = 0.012)] and paresthesia [23 vs. 13 (p = 0.024)]. The major finding was a significant difference in elevated beta2-microglobulin (B2MG) [23 vs. 13 (p = 0.024)]. Other studied factors, suggested in the literature as significant in the pSS-related neuropathy, were not statistically different between the groups.

CONCLUSION

Our study confirms that CTS is more prevalent among pSS patients than in the general population and suggests that a new approach is required towards the pathogenesis of this phenomenon. We hypothesize that CTS is more associated with an overall disease activity than joint involvement as such.

Kidney-specific methylation patterns correlate with kidney function and are lost upon kidney disease progression

BACKGROUND

Chronological and biological age correlate with DNA methylation levels at specific sites in the genome. Linear combinations of multiple methylation sites, termed epigenetic clocks, can inform us the chronological age and predict multiple health-related outcomes. However, why some sites correlating with lifespan, healthspan, or specific medical conditions remain poorly understood. Kidney fibrosis is the common pathway for chronic kidney disease, which affects 10% of European and US populations.

RESULTS

Here we identify epigenetic clocks and methylation sites that correlate with kidney function. Moreover, we identify methylation sites that have a unique methylation signature in the kidney. Methylation levels in majority of these sites correlate with kidney state and function. When kidney function deteriorates, all of these sites regress toward the common methylation pattern observed in other tissues. Interestingly, while the majority of sites are less methylated in the kidney and become more methylated with loss of function, a fraction of the sites are highly methylated in the kidney and become less methylated when kidney function declines. These methylation sites are enriched for specific transcription-factor binding sites. In a large subset of sites, changes in methylation patterns are accompanied by changes in gene expression in kidneys of chronic kidney disease patients.

CONCLUSIONS

These results support the information theory of aging, and the hypothesis that the unique tissue identity, as captured by methylation patterns, is lost as tissue function declines. However, this information loss is not random, but guided toward a baseline that is dependent on the genomic loci.

SIGNIFICANCE STATEMENT

DNA methylation at specific sites accurately reflects chronological and biological age. We identify sites that have a unique methylation pattern in the kidney. Methylation levels in the majority of these sites correlate with kidney state and function. Moreover, when kidney function deteriorates, all of these sites regress toward the common methylation pattern observed in other tissues. Thus, the unique methylation signature of the kidney is degraded, and epigenetic information is lost, when kidney disease progresses. These methylation sites are enriched for specific and methylation-sensitive transcription-factor binding sites, and associated genes show disease-dependent changes in expression. These results support the information theory of aging, and the hypothesis that the unique tissue identity, as captured by methylation patterns, is lost as tissue function declines.

Association of β₂ microglobulin level and glomerular filtration rate in patients with acute leukemia after hematopoietic stem cell transplantation

Hematopoietic stem cell transplantation is a life-saving therapy in patients suffering from acute leukemia. However, kidney complications developed after performing hematopoietic stem cell transplantation can affect the course and prognosis of the disease in patients with acute leukemia. This study is aimed at assessing the functional status of the kidneys in patients with acute leukemia who have undergone hematopoietic stem cell transplantation. The study has observed a group of patients with acute lymphoblastic leukemia and acute myeloid leukemia who have undergone hematopoietic stem cell transplantation. It has been discovered that β2 microglobulin is a sensitive method of analyzing renal function, with the β2 microglobulin threshold urine level not exceeding 0.3 mg/L. The complex diagnostics of kidney function in hematopoietic stem cell transplantation recipients has given the opportunity to identify the relationship between increased β2 microglobulin levels and decreased glomerular filtration rate. It has been determined that β2 microglobulin is a biomarker of renal disorders. The obtained data have showed that β2 microglobulin can be used as a diagnostic marker of reduced kidney function.

The usefulness of serum beta-2 microglobulin as a biomarker for evaluating renal function decline in type II diabetes mellitus

Background and objective: Serum beta-2 microglobulin (β2M) has been used as a useful clinical marker of chronic kidney dysfunction. The current study aims to evaluate the diagnostic accuracy of β2M for the early detection of diabetic nephropathy among Iraqi patients with type II diabetes mellitus. Methods: The study included 84 participants divided into four groups, three of them were type II diabetics and the fourth is the healthy individuals’ (control) group. The diabetic’ subgroups were named according to the Micral test as: normoalbuminuria (21 patients), microalbuminuria (21 patients), and macroalbuminuria group (21 patients). The control group included 21, age- and sex-matched, healthy participants. Biochemical markers for diabetes mellitus as well as β2M were determined for each participant and then were analyzed statistically. Results: The serum β2M of normoalbuminuria group was (2.86±0.95 µg/mL), microalbuminuria group was (5.06±1.97 µg/mL) and macroalbuminuria group (3.6±1.59 µg/mL). The results showed significant increase (p˂0.05) in the β2M level of microalbuminuria group when compared with that of normoalbuminuria and macroalbuminuria groups. In addition, a highly significant increase (p˂0.01) in β2M concentration was observed in microalbuminuria group when compared with that of the control group. Conclusions: β2M can be used as a useful biomarker for the early detection of nephropathy.

Biomarkers for Diagnosis and Prediction of Outcomes in Contrast-Induced Nephropathy

Background

Serum creatinine is suboptimal as a biomarker in the early diagnosis of contrast-induced nephropathy (CIN). In this study, we investigated a panel of novel biomarkers in the early diagnosis of CIN and in assessing patient outcomes.

Methods

This single-centre, nested, prospective case-controlled study included 30 patients with CIN and 60 matched controls. Serum and urine samples were collected before contrast administration and at 24 hours, 48 hours, and ≥5 days after contrast administration. Concentrations of NGAL, cystatin C, β₂M, IL18, IL10, KIM1, and TNFα were determined using Luminex and ELISA assays. Outcomes were biomarker diagnostic discrimination performance for CIN and mortality after generation of area under receiver operating characteristic curves (AUROCs).

Results

Median serum levels for 24 h cystatin C (p < 0.01) and 48 h β₂M levels (p < 0.001) and baseline urine NGAL (p=0.02) were higher in CIN patients compared to controls with AUROCs of 0.75, 0.78, and 0.74, respectively, for the early diagnosis of CIN. Serum β₂M levels were higher in CIN patients at all time points. Elevated baseline serum concentrations of IL18 (p < 0.001), β₂M (p=0.04), TNFα (p < 0.001), and baseline urine KIM (p=0.01) and 24 h urine NGAL (p=0.02) were significantly associated with mortality. Baseline serum concentrations of IL18, β₂M, and TNFα showed the best discrimination performance for mortality with AUROCs, all >0.80. Baseline NGAL was superior for excluding patients at risk for CIN, with positive and negative predictive ranges of 0.50–0.55 and 0.81–0.88, respectively. Cystatin C (p=0.003) and β₂M (p=0.03) at 24 h independently predicted CIN risk. β₂M predicted increased mortality of 40% at baseline and 50% at 24 hours.

Conclusion

Serum cystatin C at 24 h was the best biomarker for CIN diagnosis, while baseline levels of serum IL18, β₂M, and TNFα were best for predicting prognosis.

Measuring serum beta2-microglobulin to predict long-term mortality in hemodialysis patients using low-flux dialyzer reuse

Purpose

Beta2-microglobulin (β2-M) is recognized as a surrogate marker relating to the mechanisms of dialysis-associated amyloidosis. Few studies have evaluated the association of serum β2-M with clinical outcome in hemodialysis patients using high-flux type. However, study on patients using low-flux dialyzer reuse has not been done yet.

Patients and methods

Using serum β2-M level on predicting long-term mortality of hemodialysis patients was examined in 326 prevalent hemodialysis patients (45.59±14.46 years, hemodialysis duration of 47.5 (26–79) months, 186 males and 140 females). The patients were divided into 3 groups with equal number of patients, according to their serum β2-M levels: group A (n=109, serum β2-M concentration ≤55.7 mg/L), group B (n=109, serum β2-M level from 55.8 mg/L to 75.4 mg/L) and group C (n=108, serum β2-M concentration >75.4 mg/L).

Results

During the follow-up period of 5 years, there were 75 all-cause deaths (23.0%). Kaplan–Meier analysis revealed that all-cause mortality in the higher β2-M group was significantly higher compared to that in the lower β2-M groups (p<0.001). Serum β2-M level was a significant predictor for all-cause mortality (AUC =0.898; p<0.001; Cut-off value: 74.9 mg/L, Se=93.3%, Sp=92.9%).

Conclusion

Serum β2-M levels were a significant predictor of long-term mortality in hemodialysis patients, who use only low-flux dialyzers and reuse 6 times.

Design of a New Ultracompact Resonant Plasmonic Multi-Analyte Label-Free Biosensing Platform

In this paper, we report on the design of a bio-multisensing platform for the selective label-free detection of protein biomarkers, carried out through a 3D numerical algorithm. The platform includes a number of biosensors, each of them is based on a plasmonic nanocavity, consisting of a periodic metal structure to be deposited on a silicon oxide substrate. Light is strongly confined in a region with extremely small size (=1.57 μm²), to enhance the light-matter interaction. A surface sensitivity S_s = 1.8 nm/nm has been calculated together with a detection limit of 128 pg/mm². Such performance, together with the extremely small footprint, allow the integration of several devices on a single chip to realize extremely compact lab-on-chip microsystems. In addition, each sensing element of the platform has a good chemical stability that is guaranteed by the selection of gold for its fabrication.

Associations among Serum Beta 2 Microglobulin, Malnutrition, Inflammation, and Advanced Cardiovascular Event in Patients with Chronic Kidney Disease

OBJECTIVES

This study examines the associations among serum β2 microglobulin (B2M), malnutrition, inflammation, and atherosclerosis (MIA) in those with chronic kidney disease (CKD).

METHODS

CKD patients who were followed in Taoyuan General Hospital from 2009 to 2015 were enrolled. Demographic and biochemical data, including B2M and C-reactive protein (CRP) were reviewed. The participants were stratified according to B2M tertiles. Adjusted hazard ratios (AHRs) and cumulative survival curves for death and MIA syndrome were evaluated by Cox hazard model and Kaplan-Meier method. We also calculated the area under the curve for the receiver operating characteristic curve (AUROC).

RESULTS

From a total of 312 CKD patients, mean follow-up time was 39.7 months. Compared to those with lowest tertile of B2M, the highest tertile group had lower serum albumin, hemoglobin, and estimated glomerular filtration rate. After multivariate adjustment, the associations among tertiles of B2M, death or dialysis, cardiovascular events (CVEs), and MIA syndrome remained significant. The AHRs for the highest tertile group in death or dialysis, CVEs, and MIA syndrome were 25.91 and 65.84 and 152.50(all Ps <0.05).The AUROC for B2M in death or dialysis, CVEs, and MIA syndrome were greater than that for creatinine. The best cut-off value of B2M for predicting death or dialysis, CVEs, and MIA syndrome were 5.39 mg/dL(sensitivity: 67.1%, specificity 62.5%), 4.21 mg/dL(sensitivity: 85.1%, specificity 52.1%), and 5.40 mg/dL(sensitivity: 79.7%, specificity 64.1%).

CONCLUSIONS

In those with CKD, serum B2M was more sensitive than creatinine in predicting CVEs and MIA syndrome.

ß-2 microglobulin level is negatively associated with global left ventricular longitudinal peak systolic strain and left atrial volume index in patients with chronic kidney disease not on dialysis

Objective:

There are many factors related to high left atrial volume index (LAVI) and global left ventricular longitudinal peak systolic strain (GLS-%) decline in chronic kidney disease. The purpose of our study is to investigate the relation between the β-2 microglobulin (β-2µ) and GLS-% and LAVI in patients with chronic kidney disease not yet on dialysis.

Methods:

Our study was a non-randomized, controlled, prospective study. We included 87 consecutive patients with eGFR levels below 60 ml/min/m² not on dialysis and 82 normal healthy individuals with complaints of atypical chest pain and negative stress tests as control group in our study. Patients with hospitalization related to dialysis or heart failure attacks within 3 months, active malignancy, malnutrition, pregnancy, and uncontrolled hypertension were excluded. Brachial pulse wave velocity (PWV), augmentation index, augmentation pressure and central hemodynamics, and PWV analysis were performed in order to assess the arterial stiffness and blood pressure. According to the distribution of data, Spearman and Pearson correlations and multiple linear regression were used to determine significant and independent factor associated with high LAVI and low GLS-%.

Results:

There were significant correlations between β-2µ with LAVI (r=0.313, p=0.004) and with GLS-% (r=–0.222, p=0.04). In multiple linear regression, the relationship between β-2µ with GLS-% [β=–0.037, 95% CI (–0.062, –0.013), p=0.004] and LAVI [β=4.522, 95% CI (2.806, 6.238), p<0.001] was independent of age, PWV, central and peripheral blood pressures, parathormone, CalciumXPhospor, Hgb levels, and eGFR.

Conclusion:

Increasing β-2µ levels were found to be associated with increased LAVI and decreased GLS-%. Additional experimental studies are needed to clarify these relationships.