Serum beta-2 microglobulin as a predictor of nephritis, disease activity, and damage score in systemic lupus erythematosus: a cross-sectional study.

A strong correlation between lupus nephritis (LN), disease activity, and serum beta 2-microglobulin (b2MG) was observed. The current study examines the correlation between serum b2MG and renal involvement, damage score, and disease activity in systemic lupus erythematosus (SLE) patients. One hundred SLE patients from Ain Shams University Hospital were enrolled and categorized into two groups. Group I had 40 patients with negative b2MG, while Group II had 60 patients with positive b2MG levels. Medical history, clinical examination, and assessing disease activity based on SLE disease activity index (SLEDAI-2 K), and damage score were recorded for all patients. Laboratory examinations, such as serum b2MG, complete blood count, blood urea nitrogen (BUN), serum creatinine, glomerular filtration rate (GFR), urine analysis, 24 h urinary protein excretion, Antinuclear antibodies (ANA), anti-dsDNA antibody, and serum complement (C3, C4). BUN, 24 h urinary protein, serum creatinine, active urinary sediment, SLEDAI score, and damage score were all elevated in group II compared to group I (p < 0.001). There is a positive correlation between serum b2MG and 24 h urinary protein, BUN, serum creatinine, disease activity, and damage score (p < 0.001), while it was negatively correlated with GFR, C3, and C4 (p < 0.001). Serum b2MG has proven to be a predictor of LN in SLE patients (Sensitivity 92.45%, Specificity 74.47%), also being a predictor of the activity of the disease as well as damage index (Sensitivity 96.67%, Specificity 85%) (Sensitivity 92.45%, Specificity 74.47%), respectively. Serum b2MG level can be used as a valuable predictor for LN, clinical disease activity, and damage score.

Metabolism and memory: α-synuclein level in children with obesity and children with type 1 diabetes; relation to glucotoxicity, lipotoxicity and executive functions.

BACKGROUND/OBJECTIVES: Children with obesity and those with type 1diabetes (T1D) exhibit subtle neurocognitive deficits, the mechanism of which remains unknown. α-synuclein plays a fundamental role in neurodegeneration. Moreover, its role in glucose and lipids metabolism is emerging. This study aims to assess whether α-synuclein is correlated with the degree of neurodegeneration in children with obesity and those with T1D in comparison to healthy controls and correlate it to various neurocognitive and metabolic parameters. SUBJECTS/METHODS: Forty children with obesity, 40 children with T1D and 40 matched-healthy controls were assessed for anthropometric measurements and blood-pressure. Cognitive evaluation was performed using Stanford-Binet scale and Barkley Deficits in Executive Functioning (EF) Scale-Children and Adolescents. α-synuclein, fasting lipids and glucose were measured with calculation of the homeostatic model of insulin-resistance and estimated-glucose disposal rate. RESULTS: Children with obesity and those with T1D had significantly higher α-synuclein (p < 0.001) and total EF percentile (p = 0.001) than controls. α-synuclein was negatively correlated to total IQ (p < 0.001 and p = 0.001), and positively correlated with total EF percentile (p = 0.009 and p = 0.001) and EF symptom count percentile (p = 0.005 and p < 0.001) in children with T1D and obesity, respectively. Multivariate-regression revealed that α-synuclein was independently related to age (p = 0.028), diabetes-duration (p = 0.006), HbA1C% (p = 0.034), total IQ (p = 0.013) and EF symptom count percentile (p = 0.003) among children with T1D, and to diastolic blood-pressure percentile (p = 0.013), waist/hip ratio SDS (p = 0.007), total EF percentile (P = 0.033) and EF symptom count percentile (p < 0.001) in children with obesity. CONCLUSION: α-synuclein could have a mechanistic role in neurocognitive deficit among children with obesity and T1D.

Assessment of serum chemerin levels in acanthosis nigricans: A case-control study.

BACKGROUND: Acanthosis nigricans (AN) is an asymptomatic skin condition linked to several underlying systemic conditions. Chemerin is an adipokine that increases during inflammatory disorders such as metabolic syndrome (MetS). AIMS: This case-control study investigates the link between AN and the underlying MetS and serum levels of chemerin in individuals with obesity. PATIENTS/METHODS: Twenty-five adults with AN and obesity (body mass index [BMI] > 30 kg/m2 ), 25 adults with obesity but no AN, and 25 healthy controls (BMI < 30 kg/m2 ) had their lipid profiles and serum chemerin concentrations examined. RESULTS: The neck (80.0%) and axilla (68.0%) were the most common sites of AN. In participants with obesity, either alone or with AN, serum chemerin concentrations were significantly higher than in the control group (p < 0.001). Participants with obesity and AN had significantly higher levels of cholesterol, triglycerides (TG), low-density lipoprotein cholesterol (LDL-c), and serum chemerin levels (p < 0.001), and significantly lower high-density lipoprotein cholesterol (HDL-c) levels (p < 0.001) when compared to participants with obesity alone. All participants with obesity and AN (100%) and 88% of those with obesity alone had MetS. Logistic regression revealed that systolic blood pressure >130 mmHg, diastolic blood pressure >85 mmHg, waist circumference >90 cm, TG >150 mg/dl, HDL-c <45 mg/dl, fasting blood glucose >100 mg/dl, and serum chemerin >300 ng/ml were significant (p < 0.05) risk factors for AN. CONCLUSIONS: Acanthosis nigricans is a non-invasive and reliable sign of the underlying MetS and increased serum chemerin levels among individuals with obesity.

Comparison of hemoglobin level and neutrophil to lymphocyte ratio as prognostic markers in patients with COVID-19.

BACKGROUND: Anemia can negatively affect the outcome of many diseases, including infections and inflammatory conditions. AIM: To compare the prognostic value of hemoglobin level and the neutrophil/lymphocyte ratio (NLR) for prediction of coronavirus disease 2019 (COVID-19) severity. METHODS: In this retrospective cohort study, clinical data from patients with laboratory-confirmed COVID-19 were collected from hospital records from 10 April 2020 to 30 July 2020. RESULTS: The proportions of patients with mild, moderate, and severe COVID-19 differed significantly in association with hemoglobin levels, neutrophil counts, lymphocyte counts, NLR, and total leukocyte counts. Patients with severe COVID-19 had significantly lower hemoglobin levels than those with moderate or mild COVID-19. There were statistically significant negative associations between hemoglobin and D-dimer, age, and creatinine. The optimal hemoglobin cut-off value for prediction of disease severity was 11.6 g/dL. Using this cut-off value, hemoglobin had higher negative predictive value and sensitivity than NLR (92.4% and 51.3%, respectively). The specificity of hemoglobin as a prognostic marker was 79.3%. CONCLUSION: Both NLR and hemoglobin level are of prognostic value for predicting severity of COVID-19. However, hemoglobin level displayed higher sensitivity than NLR. Hemoglobin level should be assessed upon admission in all patients and closely monitored throughout the disease course.

Post-COVID-19 arthritis: is it hyperinflammation or autoimmunity?

BACKGROUND:  Various musculoskeletal and autoimmune manifestations have been described in patients with coronavirus disease 2019 (COVID-19). Objectives: This study aims to investigate the prevalence and etiology of arthritis in post-COVID Egyptian patients. Methods: We included 100 post-COVID Egyptian patients who recovered 6 months ago and assessed several inflammatory and autoimmune markers. Results: The prevalence of post-COVID arthritis was 37%. Ankle, knee, and wrist were the most commonly affected joints. Old age (P = 0.010), smoking (P = 0.001), and arthralgia (P = 0.049) were all linked with post-COVID arthritis. Levels of pretreatment (baseline) interleukin (IL)-6 (46.41 ± 3.67 vs. 24.03 ± 2.46; P = 0.001), as well as 6-month post-COVID C-reactive protein (CRP; 98.49 ± 67.55 vs. 54.32 ± 65.73; P = 0.002), and erythrocyte sedimentation rate (ESR; 109.08 ± 174.91 vs. 58.35 ± 37.87; P = 0.029) were significantly higher in patients with arthritis compared to those without. On the other hand, complement C3 (P = 0.558) and C4 (P = 0.192), anti-nuclear antibodies (P = 0.709), and anti-cyclic citrullinated peptides (anti-CCP; P = 0.855) did not show significant differences. Only pretreatment IL-6 level was the significant single predictor of post-COVID arthritis with an odds ratio (95% confidence interval) of 3.988 (1.460-10.892) and a P-value of 0.007. CONCLUSION:  The strong association observed with inflammatory markers (ESR and CRP) and the insignificant association with serologic markers of autoimmunity (ANA and anti-CCP) in our study support the notion that the underlying mechanism of post-COVID-19 arthritis is primarily due to the hyperinflammatory process associated with COVID-19 infection, and not the result of an autoimmune reaction. IL-6 levels before therapy can predict post-COVID arthritis allowing for early management.