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5. Parallel downregulation of retinol-binding protein-4 and adiponectin expression in subcutaneous adipose tissue of non-morbidly obese subjects

Author

Cristóbal Richart, Rafael Ramírez, Maria José Alcaide, Carmen Aguilar, Enric Caubet, Salomé Martínez, Ana Megia, Montserrat Olona, Maria Teresa Auguet, Antonio Garcia-España, Montserrat Broch, and R Pastor more...

Subjects
Adult, Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Population, Subcutaneous Fat, Down-Regulation, Adipose tissue, Adipokine, Biology, Severity of Illness Index, Endocrinology, Insulin resistance, Internal medicine, Adipocytes, medicine, Humans, Obesity, RNA, Messenger, education, Aged, education.field_of_study, Retinol binding protein 4, Adiponectin, Body Weight, General Medicine, Middle Aged, medicine.disease, Body Height, C-Reactive Protein, biology.protein, Female, Stromal Cells, Retinol-Binding Proteins, Plasma, Body mass index
Abstract

Context and objectiveAdipokines are involved in the etiopathology of obesity-related disorders. Since the role of adipokine retinol-binding protein-4 (RBP4) in obesity remains uncertain and its relationship with other adipokines and inflammatory markers has not been examined in detail, we investigated the relationships of RBP4 mRNA expression and circulating protein levels with obesity, anthropometric and metabolic variables, as well as with obesity-related inflammatory markers adiponectin and C-reactive protein.Subjects and methodsOne-hundred and twenty-five subjects participated, 36 lean (body mass index (BMI): 2) and 89 obese (overweight/obese; BMI: ≥25ResultsThere was a tendency for circulating RBP4 levels to positively correlate with waist circumference (β=0.29, P=0.08; R2=0.08), but there was no significant association with the obesity-related parameters analysed. RBP4 and adiponectin mRNA expression levels were similarly downregulated in the s.c.-AT of obese subjects (0.5-fold); however, RBP4 downregulation did not affect its circulating protein levels. The expression of RBP4 and adiponectin was positively correlated even after controlling for confounding factors (β=0.59, PR2=0.40).ConclusionsIn our population, RBP4 circulating levels were not significantly correlated with obesity-related parameters, although a tendency to correlate with waist circumference suggests a relationship with insulin resistance and other metabolic disorders. In addition, our results suggest that the production of RBP4 by other tissues such as liver, rather than s.c.-AT, may be involved in regulating RBP4 circulating levels. more...

Published
2009
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6. ANN-Based Discernment of Septic and Inflammatory Synovial Fluid: A Novel Method Using Viscosity Data from a QCR Sensor

Author

Andrés Miranda-Martínez, Berta Sufrate-Vergara, Belén Fernández-Puntero, María José Alcaide-Martin, Antonio Buño-Soto, and José Javier Serrano-Olmedo

Subjects
quartz crystal resonator, synovial fluid, septic synovial fluid, inflammatory synovial fluid, Artificial Neural Networks, Chemical technology, TP1-1185
Abstract

The synovial fluid (SF) analysis involves a series of chemical and physical studies that allow opportune diagnosing of septic, inflammatory, non-inflammatory, and other pathologies in joints. Among the variety of analyses to be performed on the synovial fluid, the study of viscosity can help distinguish between these conditions, since this property is affected in pathological cases. The problem with viscosity measurement is that it usually requires a large sample volume, or the necessary instrumentation is bulky and expensive. This study compares the viscosity of normal synovial fluid samples with samples with infectious and inflammatory pathologies and classifies them using an ANN (Artificial Neural Network). For this purpose, a low-cost, portable QCR-based sensor (10 MHz) was used to measure the viscous responses of the samples by obtaining three parameters: Δf, ΔΓ (parameters associated with the viscoelastic properties of the fluid), and viscosity calculation. These values were used to train the algorithm. Different versions of the ANN were compared, along with other models, such as SVM and random forest. Thirty-three samples of SF were analyzed. Our study suggests that the viscosity characterized by our sensor can help distinguish infectious synovial fluid, and that implementation of ANN improves the accuracy of synovial fluid classification. more...

Published
2022
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