Project description:RNA was purified from serum of osteoporotic and healthy postmenopausal mexican women using miRNeasy Serum/Plasma kit (QIAGEN). For microRNA expression analysis we used the Human MicroRNA A+B Cards Set v3.0 TaqMan Low Density Array platform (Applied Biosystems). Analysis was performed in the Expression Suite v.1.1.3 software (Applied Biosystems).
Project description:Human serum samples were collected from patients with history of three or more recurrent spontaneous abortion and non- pregnant women with two or more successful deliveries. Chlamydia trachomatis infection was detected in the samples collected from the patients and real time PCR was perform to study the expression of microRNA genes in these patients.
Project description:The objective of this study was the identification of serum microRNAs that can differentiate osteoporotic fracture patients with and without type-2 diabetes from healthy control subjects. For that purpose circulating microRNAs were profiled by real-time quantitative PCR using a custom 384-well panel in 200 µl serum samples. Univariate and multivariate statistical tools were used in order to identify single as well as combinations of circulating microRNas that were characteristic of patients with prevalent osteoporotic fractures: a qRT-PCR-based classifier consisting of miR-550a-5p, miR-96-5p, miR-32-3p and miR-486-5p can distinguish T2D women with (DMFx) and without fragility fractures (DM) with high specifitiy and sensitivity (AUC = 0.93). A classifier consisting of miR-188-3p, miR-382-3p, miR-942 and miR-155-5p was capable of differentiating between postmenopausal women with osteoporotic fractures and fracture-free controls with an AUC of 0.98.
Project description:The silkworm (Bombyx mori) has long been considered a source of food and medicine due to its high nutritional, medicinal, and economic value in East Asia. However, in some sensitive individuals, silkworm consumption can cause allergenic reactions such as vomiting, asthma, and anaphylaxis. Therefore, the development of a reliable method for silkworm detection is required to avoid such allergenic incidents. In this study, two different methods (liquid chromatography combined with mass spectrometry [LC-MS/MS] and real-time polymerase chain reaction [PCR]) were developed to determine an efficient technique for silkworm detection in foods. The developed methods demonstrated high sensitivity in detecting the silkworm in processed foods. Silkworm-spiked model cookies were used to confirm the sensitivity of both LC-MS/MS (0.0005%) and real-time PCR (0.001%). These methods were found to be useful for detecting the silkworm in foods and avoiding allergenic reactions. To the best of our knowledge, this is the first study to compare LC-MS/MS and real-time PCR for silkworm detection in complex processed foods.