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Determinazione della concentrazione di metalli pesanti e associazione con il profilo lipidico e il controllo metabolico in pazienti con Diabete Tipo 1 del nord Sardegna
Full text linkSardinia is an Italian region with a high incidence of type 1 diabetes
Mellitus(T1DM). This study determined the blood levels of chromium
(Cr),copper (Cu), iron (Fe),manganese(Mn), selenium (Se), zinc (Zn),
Mercury (Hg), Cadmium(Cd), Nichel (Ni), Lead (Pb), in Sardinian T1DM.It was examined the association of these metals with lipid profiles and
glycaemic control (HbA1c %). There were enrolled a total of 192 patients
with T1DM, treated by the Unit of Diabetology and Metabolic Diseases
in Sassari,Italy. Trace elements were measured in whole blood by Sector
field inductively coupled plasma mass spectrometry(ICP-MS).Data were organized in an Access database and there were determined the correlations between metabolic variables and the levels of metals.
Among total samples, 56.25% were male and 43.75% were female. Zinc was positively correlated with total cholesterol (TC)(P= 0.023), low-density lipoprotein (LDL)(P= 0.0015), and triglycerides(TG)(P=0.027). Iron as significantly correlated with TC(P=0.0189), LDL(P= 0.0121), and high-density lipoprotein (HDL)(P=0.0466). In males, Cr was positively correlated with HDL(P = 0.0079) and Se, in females was correlated with TG(P=0.0113). Copper was significantly correlated with HbA1c %(P= 0.0155) and Cd was positively correlated with (LDL)(P=0.0222) and with HbA1c (P=0.0292).Results indicated that trace element such as Zn, Fe, Cu, Cr, Se were associated with lipid profile and HbA1c %. Cadmium is a Toxic metal associated with LDL and HbA1c%
Proteomic characterization of Echinococcus granulosus sensu stricto, Taenia hydatigena and Taenia multiceps metacestode cyst fluids
No full textCystic echinococcosis (CE) diagnosis by means of serological assays is hampered by the presence of parasites closely related to Echinococcus granulosus sensu lato (s.l.), responsible of the zoonotic disease and with which share cross-reacting antigens. Thus, improvements on the characterization of Echinococcus specific antigens expressed in the larval stage are required, in order to provide useful information for the development of immunological assays for the serodiagnosis of CE in sheep. Here, the proteome of the hydatid cyst fluids (HFs) of Echinococcus granulosus (hydatid fluid, EgHF) and other ovine parasites cyst fluids (CFs), Taenia hydatigena (ThCF) and Taenia multiceps (TmCF) were analyzed by a shotgun proteomic approach. Parasite and host protein profiles in the three types of cyst fluids were characterized and compared. Among the identified proteins, differential parasitic markers with serodiagnostic potential, due to their well-known immunoreactivity in human, included Ag5, AgB proteins, 8-kDa glycoproteins, hydatid disease diagnostic antigen P29 and major egg antigen P40. In particular, seven proteoforms of AgB and 8-kDa glycoprotein resulted to be the most promising diagnostic biomarkers, as they might predict CE in ovine and discriminate between different types of parasites
Blood metals concentration in type 1 and type 2 diabetics
No full textMechanisms for the onset of diabetes and the development of diabetic complications remain under extensive investigations. One of these mechanisms is abnormal homeostasis of metals, as either deficiency or excess of metals, can contribute to certain diabetic outcomes. Therefore, this paper will report the blood levels of chromium (Cr), copper (Cu), iron (Fe), manganese (Mn), mercury (Hg), nickel (Ni), lead (Pb), selenium (Se), and zinc (Zn) in subjects with type 1 diabetes (n = 192, mean age 48.8 years, mean disease duration 20.6 years), type 2 diabetes (n = 68, mean age 68.4 years, mean disease duration 10.2 years), and in control subjects (n = 59, mean age 57.2 years), and discuss the results indicating their possible role in diabetes. The metal concentrations were measured by sector field inductively coupled plasma mass spectrometry after microwave-induced acid digestion of blood samples. The accuracy was checked using a blood-based certified reference material, and recoveries of all elements were in the range of 92-101 % of certified values. Type 1 diabetes was found to be associated with Cr (p = 0.02), Mn (p < 0.001), Ni (p < 0.001), Pb (p = 0.02), and Zn (p < 0.001) deficiency, and type 2 diabetes with Cr (p = 0.014), Mn (p < 0.001), and Ni (p < 0.001) deficiency. These deficiencies were appreciated also subdividing the understudied patients for gender and age groups. Furthermore, in type 1 diabetes, there was a positive correlation between Pb and age (p < 0.001, rho = 0.400) and Pb and BMI (p < 0.001, rho = 0.309), while a negative correlation between Fe and age (p = 0.002, rho = -0.218). In type 2 diabetes, there was a negative correlation between Fe and age (p = 0.017, rho = -0.294) and Fe and BMI (p = 0.026, rho = -0.301). Thus, these elements may play a role in both forms of diabetes and combined mineral supplementations could have beneficial effects
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
Determinazione della concentrazione di metalli pesanti e associazione con il profilo lipidico e il controllo metabolico in pazienti con Diabete Tipo 1 del nord Sardegna
No full textSardinia is an Italian region with a high incidence of type 1 diabetes
Mellitus(T1DM). This study determined the blood levels of chromium
(Cr),copper (Cu), iron (Fe),manganese(Mn), selenium (Se), zinc (Zn),
Mercury (Hg), Cadmium(Cd), Nichel (Ni), Lead (Pb), in Sardinian T1DM.
It was examined the association of these metals with lipid profiles and
glycaemic control (HbA1c %). There were enrolled a total of 192 patients
with T1DM, treated by the Unit of Diabetology and Metabolic Diseases
in Sassari,Italy. Trace elements were measured in whole blood by Sector
field inductively coupled plasma mass spectrometry(ICP-MS).
Data were organized in an Access database and there were determined the correlations between metabolic variables and the levels of metals.
Among total samples, 56.25% were male and 43.75% were female. Zinc was positively correlated with total cholesterol (TC)(P= 0.023), low-density lipoprotein (LDL)(P= 0.0015), and triglycerides(TG)(P=0.027). Iron as significantly correlated with TC(P=0.0189), LDL(P= 0.0121), and high-density lipoprotein (HDL)(P=0.0466). In males, Cr was positively correlated with HDL(P = 0.0079) and Se, in females was correlated with TG(P=0.0113). Copper was significantly correlated with HbA1c %(P= 0.0155) and Cd was positively correlated with (LDL)(P=0.0222) and with HbA1c (P=0.0292). Results indicated that trace element such as Zn, Fe, Cu, Cr, Se were associated with lipid profile and HbA1c %. Cadmium is a Toxic metal associated with LDL and HbA1c%
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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