581 research outputs found
Diagnostic markers in schistosomiasis
In the present paper a brief overview will be given of the recent progress and trends in assaying diagnostic markers in schistosomiasis; only markers of the humoral immunological system and biochemical markers will be discussed, as markers for cellular immunological reactivity will be discussed by other authors. The following diagnostic markers will be reviewed: markers for infection, markers for immunity and markers for morbidity
A prospective, randomized therapeutic trial for schistosomal specific nephropathy
A prospective, randomized therapeutic trial for schistosomal specific nephropathy. In this work 26 patients with schistosomal specific nephropathy were randomly distributed among three groups. Group I cases were given anti-schistosomal drugs (oxamniquine and praziquantel), group II cases were given anti-schistosomal drugs plus prednisolone, and group III cases were given anti-schistosomal drugs plus cyclosporine. The schistosomal specificity of kidney lesions was assessed by detecting the schistosomal specific antigens (CAA and CCA) and antibodies deposited in the renal glomeruli of these patients. Patients who had another etiologic cause which may explain their kidney disease were not admitted to this study. After initiation of the treatment, patients were followed up every other week in the outpatient clinic for 12 months. Follow-up showed complete remission of proteinuria in two cases in group II (duration of remission was 4 and 8 months) and in one case in group III (duration of remission was 6 months) but in none in group I. Partial remission was observed in one case in group I, in three cases in group II and in one case in group HI. During the observation period, improvement in kidney function was observed in two cases in group II but deterioration in kidney function was observed in one case in group I and in one other case in group III. We conclude that in patients with schistosomal nephropathy, none of the tried therapeutic regimens produce regression of the disease if given to patients with established disease
Estimators Used in Multisite Healthcare Costing Studies in Low- and Middle-Income Countries: A Systematic Review and Simulation Study.
BACKGROUND: In low- and middle-income countries, multisite costing studies are increasingly used to estimate healthcare program costs. These studies have employed a variety of estimators to summarize sample data and make inferences about overall program costs. OBJECTIVE: We conducted a systematic review and simulation study to describe these estimation methods and quantify their performance in terms of expected bias and variance. METHODS: We reviewed the published literature through January 2017 to identify multisite costing studies conducted in low- and middle-income countries and extracted data on analytic approaches. To assess estimator performance under realistic conditions, we conducted a simulation study based on 20 empirical cost data sets. RESULTS: The most commonly used estimators were the volume-weighted mean and the simple mean, despite theoretical reasons to expect bias in the simple mean. When we tested various estimators in realistic study scenarios, the simple mean exhibited an upward bias ranging from 12% to 113% of the true cost across a range of study sample sizes and data sets. The volume-weighted mean exhibited minimal bias and substantially lower root mean squared error. Further gains were possible using estimators that incorporated auxiliary information on delivery volumes. CONCLUSIONS: The choice of summary estimator in multisite costing studies can significantly influence study findings and, therefore, the economic analyses they inform. Use of the simple mean to summarize the results of multisite costing studies should be considered inappropriate. Our study demonstrates that several alternative better-performing methods are available
Exploratory analysis of human urine by LC–ESI-TOF MS after high intake of olive oil: understanding the metabolism of polyphenols
Olive oil polyphenols have important biological properties which closely depend on their bioavailability, therefore it is essential to understand how polyphenols are absorbed, metabolized and eliminated from the body. An analytical methodology based on rapid resolution liquid chromatography (RRLC) coupled to mass spectrometry detection with a time of flight analyzer (RRLC-ESI-TOF MS) was developed for the determination of the main olive oil phenolic compounds and their metabolites in human urine. Urine samples from ten healthy volunteers were collected before and 2, 4 and 6 h after the intake of 50 mL of extra-virgin olive oil. The proposed method includes liquid-liquid extraction with ethyl acetate that provides extraction recoveries of the phenolic compounds studied between 35 and 75% from spiked urine samples. Good repeatability was obtained, since the relative standard deviations (RSDs) of peak areas in the intra- and inter-day studies were 4.3 and 6.5%, respectively.
Statistical studies allowed us to discriminate between the urine samples before and after the intake, and facilitated to find out the m/z values responsible of this discrimination. Based on the very accurate mass information and the isotopic pattern provided by TOF-MS analyzer, together with other available information, ten of these biomarkers and more than 50 metabolites, obtained through phase I and phase II biotransformation reactions, were tentatively identified. Additionally, kinetic studies of the metabolites identified as possible biomarkers were developed, obtaining maximal values in the first two hours for most compounds.The authors are very grateful to Ministry of
Education and Science (FPU, AP2005-4356 and Project AGL 2008-
05108-613 CO3-03/ALI), and Junta de AndalucÃa (P07-AGR-02629
and P09-FQM-5469)
Proteomic Serum Biomarkers and Their Potential Application in Cancer Screening Programs
Early diagnosis of cancer is of pivotal importance to reduce disease-related mortality. There is great need for non-invasive screening methods, yet current screening protocols have limited sensitivity and specificity. The use of serum biomarkers to discriminate cancer patients from healthy persons might be a tool to improve screening programs. Mass spectrometry based proteomics is widely applied as a technology for mapping and identifying peptides and proteins in body fluids. One commonly used approach in proteomics is peptide and protein profiling. Here, we present an overview of profiling methods that have the potential for implementation in a clinical setting and in national screening programs
Galectin-1-Binding Glycoforms of Haptoglobin with Altered Intracellular Trafficking, and Increase in Metastatic Breast Cancer Patients
Sera from 25 metastatic breast cancer patients and 25 healthy controls were subjected to affinity chromatography using immobilized galectin-1. Serum from the healthy subjects contained on average 1.2 mg per ml (range 0.7–2.2) galectin-1 binding glycoproteins, whereas serum from the breast cancer patients contained on average 2.2 mg/ml (range 0.8–3.9), with a higher average for large primary tumours. The major bound glycoproteins were α-2-macroglobulin, IgM and haptoglobin. Both the IgM and haptoglobin concentrations were similar in cancer compared to control sera, but the percentage bound to galectin-1 was lower for IgM and higher for haptoglobin: about 50% (range 20–80) in cancer sera and about 30% (range 25–50) in healthy sera. Galectin-1 binding and non-binding fractions were separated by affinity chromatography from pooled haptoglobin from healthy sera. The N-glycans of each fraction were analyzed by mass spectrometry, and the structural differences and galectin-1 mutants were used to identify possible galectin-1 binding sites. Galectin-1 binding and non-binding fractions were also analyzed regarding their haptoglobin function. Both were similar in forming complex with haemoglobin and mediate its uptake into alternatively activated macrophages. However, after uptake there was a dramatic difference in intracellular targeting, with the galectin-1 non-binding fraction going to a LAMP-2 positive compartment (lysosomes), while the galectin-1 binding fraction went to larger galectin-1 positive granules. In conclusion, galectin-1 detects a new type of functional biomarker for cancer: a specific type of glycoform of haptoglobin, and possibly other serum glycoproteins, with a different function after uptake into tissue cells
Decreased Levels of Bisecting GlcNAc Glycoforms of IgG Are Associated with Human Longevity
BACKGROUND: Markers for longevity that reflect the health condition and predict healthy aging are extremely scarce. Such markers are, however, valuable in aging research. It has been shown previously that the N-glycosylation pattern of human immunoglobulin G (IgG) is age-dependent. Here we investigate whether N-linked glycans reflect early features of human longevity. METHODOLOGY/PRINCIPAL FINDINGS: The Leiden Longevity Study (LLS) consists of nonagenarian sibling pairs, their offspring, and partners of the offspring serving as control. IgG subclass specific glycosylation patterns were obtained from 1967 participants in the LLS by MALDI-TOF-MS analysis of tryptic IgG Fc glycopeptides. Several regression strategies were applied to evaluate the association of IgG glycosylation with age, sex, and longevity. The degree of galactosylation of IgG decreased with increasing age. For the galactosylated glycoforms the incidence of bisecting GlcNAc increased as a function of age. Sex-related differences were observed at ages below 60 years. Compared to males, younger females had higher galactosylation, which decreased stronger with increasing age, resulting in similar galactosylation for both sexes from 60 onwards. In younger participants (<60 years of age), but not in the older age group (>60 years), decreased levels of non-galactosylated glycoforms containing a bisecting GlcNAc reflected early features of longevity. CONCLUSIONS/SIGNIFICANCE: We here describe IgG glycoforms associated with calendar age at all ages and the propensity for longevity before middle age. As modulation of IgG effector functions has been described for various IgG glycosylation features, a modulatory effect may be expected for the longevity marker described in this study
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