1,720,983 research outputs found
Serum complement C3 correlates with insulin resistance in never treated psoriatic arthritis patients
No full textThe objective of this cross-sectional study is to investigate the relationship between inflammatory markers (C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), white blood cell (WBC) count, and complement C3) and insulin resistance (estimated with the surrogate measure homeostasis model assessment of insulin resistance (HOMA-IR)) in Psoriatic arthritis (PsA) patients. Sixty-seven patients with PsA and 138 age- and sex-matched controls were recruited from the Rheumatology Outpatient Clinic of the University of Catanzaro, Catanzaro (Italy). Plasma glucose, insulin, triglycerides, total cholesterol, LDL cholesterol, and high-density lipoprotein (HDL) cholesterol were measured after at least 12-h fasting. CRP was measured by a high-sensitivity turbidimetric immunoassay. ESR was measured by capillary photometry. Serum C3 and C4 were measured by nephelometry. Insulin resistance was estimated using the original HOMA as reported by Matthews et al. (Diabetologia 28(7):412–419, 1985) from overnight fasting insulin and glucose values, with the following formula: HOMA-IR = glucose (in milligrams per deciliter) × insulin (in micro units per milliliter)/405. Patients and controls had similar body mass index (BMI), blood pressure, and fasting glucose, but fasting serum insulin was higher in PsA patients (median (interquartile range (IQR)) 12.96 (6.35–24.65) for PsA and 10.37 (6.97–15.11) for controls; p = 0.005). Consequently, also the surrogate measure of insulin resistance HOMA-IR was significantly higher in patients (median (IQR) 3.77 (1.58–5.18) for PsA and 2.33 (1.67–3.62) for controls; p = 0.008). In univariate analysis, ln(HOMA-IR) correlated positively with BMI, systolic blood pressure (sBP), dBP, ln(TG), WBC, ln(ESR), ln(CRP) and C3, while correlated negatively with total and HDL cholesterol. In multiple linear regression analysis including age, sex and BMI, serum C3 reached the higher standardized β coefficient, while among other variables only ln(ESR) maintained a weak correlation with ln(HOMA-IR) when sBP was added to the model. When all variables were inserted in a single model, only C3 was independently correlated with ln(HOMA-IR). In a stepwise multiple regression model, serum C3 was selected as the strongest single contributing variable. The model explained 61 % of the variance in ln(HOMA-IR) (R2 = 0.61). Insulin resistance, estimated with the surrogate measure HOMA-IR, is higher in PsA patients compared to age- and sex-matched controls. Serum C3 could represent a simple marker of insulin resistance in psoriatic arthritis patients. © 2013, Clinical Rheumatology.The objective of this cross-sectional study is to investigate the relationship between inflammatory markers (C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), white blood cell (WBC) count, and complement C3) and insulin resistance (estimated with the surrogate measure homeostasis model assessment of insulin resistance (HOMA-IR)) in Psoriatic arthritis (PsA) patients. Sixty-seven patients with PsA and 138 age- and sex-matched controls were recruited from the Rheumatology Outpatient Clinic of the University of Catanzaro, Catanzaro (Italy). Plasma glucose, insulin, triglycerides, total cholesterol, LDL cholesterol, and high-density lipoprotein (HDL) cholesterol were measured after at least 12-h fasting. CRP was measured by a high-sensitivity turbidimetric immunoassay. ESR was measured by capillary photometry. Serum C3 and C4 were measured by nephelometry. Insulin resistance was estimated using the original HOMA as reported by Matthews et al. (Diabetologia 28(7):412–419, 1985) from overnight fasting insulin and glucose values, with the following formula: HOMA-IR = glucose (in milligrams per deciliter) × insulin (in micro units per milliliter)/405. Patients and controls had similar body mass index (BMI), blood pressure, and fasting glucose, but fasting serum insulin was higher in PsA patients (median (interquartile range (IQR)) 12.96 (6.35–24.65) for PsA and 10.37 (6.97–15.11) for controls; p = 0.005). Consequently, also the surrogate measure of insulin resistance HOMA-IR was significantly higher in patients (median (IQR) 3.77 (1.58–5.18) for PsA and 2.33 (1.67–3.62) for controls; p = 0.008). In univariate analysis, ln(HOMA-IR) correlated positively with BMI, systolic blood pressure (sBP), dBP, ln(TG), WBC, ln(ESR), ln(CRP) and C3, while correlated negatively with total and HDL cholesterol. In multiple linear regression analysis including age, sex and BMI, serum C3 reached the higher standardized β coefficient, while among other variables only ln(ESR) maintained a weak correlation with ln(HOMA-IR) when sBP was added to the model. When all variables were inserted in a single model, only C3 was independently correlated with ln(HOMA-IR). In a stepwise multiple regression model, serum C3 was selected as the strongest single contributing variable. The model explained 61 % of the variance in ln(HOMA-IR) (R2 = 0.61). Insulin resistance, estimated with the surrogate measure HOMA-IR, is higher in PsA patients compared to age- and sex-matched controls. Serum C3 could represent a simple marker of insulin resistance in psoriatic arthritis patients
Serum complement C3 correlates with insulin resistance in never treated psoriatic arthritis patients
No full textThe objective of this cross-sectional study is to investigate the relationship between inflammatory markers (C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), white blood cell (WBC) count, and complement C3) and insulin resistance (estimated with the surrogate measure homeostasis model assessment of insulin resistance (HOMA-IR)) in Psoriatic arthritis (PsA) patients. Sixty-seven patients with PsA and 138 age- and sex-matched controls were recruited from the Rheumatology Outpatient Clinic of the University of Catanzaro, Catanzaro (Italy). Plasma glucose, insulin, triglycerides, total cholesterol, LDL cholesterol, and high-density lipoprotein (HDL) cholesterol were measured after at least 12-h fasting. CRP was measured by a high-sensitivity turbidimetric immunoassay. ESR was measured by capillary photometry. Serum C3 and C4 were measured by nephelometry. Insulin resistance was estimated using the original HOMA as reported by Matthews et al. (Diabetologia 28(7):412–419, 1985) from overnight fasting insulin and glucose values, with the following formula: HOMA-IR = glucose (in milligrams per deciliter) × insulin (in micro units per milliliter)/405. Patients and controls had similar body mass index (BMI), blood pressure, and fasting glucose, but fasting serum insulin was higher in PsA patients (median (interquartile range (IQR)) 12.96 (6.35–24.65) for PsA and 10.37 (6.97–15.11) for controls; p = 0.005). Consequently, also the surrogate measure of insulin resistance HOMA-IR was significantly higher in patients (median (IQR) 3.77 (1.58–5.18) for PsA and 2.33 (1.67–3.62) for controls; p = 0.008). In univariate analysis, ln(HOMA-IR) correlated positively with BMI, systolic blood pressure (sBP), dBP, ln(TG), WBC, ln(ESR), ln(CRP) and C3, while correlated negatively with total and HDL cholesterol. In multiple linear regression analysis including age, sex and BMI, serum C3 reached the higher standardized β coefficient, while among other variables only ln(ESR) maintained a weak correlation with ln(HOMA-IR) when sBP was added to the model. When all variables were inserted in a single model, only C3 was independently correlated with ln(HOMA-IR). In a stepwise multiple regression model, serum C3 was selected as the strongest single contributing variable. The model explained 61 % of the variance in ln(HOMA-IR) (R2 = 0.61). Insulin resistance, estimated with the surrogate measure HOMA-IR, is higher in PsA patients compared to age- and sex-matched controls. Serum C3 could represent a simple marker of insulin resistance in psoriatic arthritis patients
Acute rhabdomyolysis during treatment with amisulpride and metformin
No full textAcute rhabdomyolysis during treatment with amisulpride and metformi
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The HPA Axis in the pathogenesis of Chronic Fatigue Syndrome
No full textChronic fatigue syndrome (CFS) is a clinical syndrome characterized by profound disabling chronic fatigue associated with a wide array of other physical symptoms. Its etiology is currently unknown. Among the various hypotheses, considerable interest has been placed in the hypothalamus-pituitary- adrenal axis as a possible target of the pathogenesis of CFS. This article reviews the available scientific evidence about a role of hypothalamic- pituitary-adrenal axis in the pathogenesis of chronic fatigue syndrome
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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