Recent animal studies support close associations of Periostin with hepatosteatosis and steatohepatitis. This study is to evaluate the role of serum periostin in non-alcoholic fatty liver disease (NAFLD). A hospital-based age-/sex-matched case-control study was conducted. Binary logistic regression and receiver operating characteristic (ROC) curve were performed. Serum adipokines were measured by Adipokine Magnetic Bead Panel kits. The serum concentration of Periostin in NAFLD (1914.16 [1323.59-2654.88] ng/ml, P < 0.001) was higher than it in control (1244.94 [837.87-2028.55] ng/ml). The frequency of NAFLD grew (29.8, 52.6, and 67.2%, P < 0.001), as Periostin concentration increased among its tertiles. Compared with the 1st tertile, the 2nd and the 3rd tertiles of Periostin indicated significant associations with higher odds of NAFLD [adjusted odds ratio = 2.602 (95% confidence interval (CI) 1.030-6.575), P = 0.043 and 2.819 (95% CI 1.629-4.878), P < 0.001]. ROC curve of Periostin was developed to predict the presence of NAFLD (area under ROC = 0.693 [95% CI 0.614-0.771], P < 0.001). Lastly, Periostin correlated with several adipokines, including Resistin (r = 0.269, P = 0.018), Adiponectin (r = -0.352, P = 0.002), Interleukin (IL)-6 (r = 0.359, P = 0.001), IL-8 (r = 0.364, P = 0.001), Lipocalin-2 (r = 0.623, P < 0.001), Hepatocyte growth factor (r = 0.522, P < 0.001), and Nerve growth factor (r = 0.239, P = 0.036). It suggests Periostin as a potential biomarker in the management of NAFLD.
Background: The relationship between allergic disease and irritable bowel syndrome (IBS) is poorly understood. We aimed to investigate the potential association as well as the underlying immunological mechanisms. Methods: A retrospective case-control study of 108 atopic patients from among outpatients in an allergy clinic (allergic rhinitis [AR], n = 49; chronic urticaria [CU], n = 59) and 74 controls from among ward companions was conducted from November 2016 to March 2017. The detection rates and related gastrointestinal (GI) symptoms of IBS, as well as immunological indices, were calculated. Results: CU patients had a trend of increase in the detection of IBS compared to controls (OR = 4.846; 95% CI 0.967–24.279, p = 0.077). Loose stools (OR = 2.406; 95% CI 1.075–5.386, p < 0.05) and viscous stools (OR = 2.665; 95% CI 1.250–5.682, p < 0.05) were more common in CU patients. Atopic patients positive for serum total immunoglobulin E (IgE) (OR = 3.379; 95% CI 1.088–10.498, p < 0.05) or house dust mite (HDM)-specific IgE (OR = 3.640; 95% CI 1.228–10.790, p < 0.05) were more likely to have abdominal bloating. Besides, a positive association between levels of total IgE and severity of abdominal bloating was observed (p < 0.05). An HDM-specific IgE-positive reaction was independently associated with abdominal bloating in atopic patients (p < 0.05). Conclusions: Allergic disease has a clear clinical association with IBS with more frequent and severe symptoms of IBS. CU patients have a tendency to suffer from IBS, usually with diarrhea. Serum total IgE and HDM-specific IgE are positively correlated with GI symptoms in atopic patients.
ResumenIntroducción: la betatrofina es una novedosa adipoquina que provoca la proliferación de células β pancreáticas e interviene en el metabolismo de los lípidos. Objetivos: el propósito de este estudio es evaluar el papel de la betatrofina en el síndrome metabólico. Método: se llevó a cabo un estudio hospitalario de casos y controles según sexo y edad. El nivel de betatrofina en suero fue evaluado mediante ensayo por inmunoabsorción ligado a enzimas. Se midieron las concentraciones en suero de 12 adipoquinas para evaluar las asociaciones con la betatrofina usando los kits comerciales Adipokine Magnetic Bead Panel. Los análisis estadísticos incluyeron correlación bivariada, análisis de curva ROC y análisis de regresión lineal multivariable. Resultados: el nivel de betatrofina en suero fue más elevado en pacientes con síndrome metabólico (997,36 ± 475,92 pg/ml, p = 0,001) que en los controles (735,35 ± 526,51 pg/ml). Frente al tercil más bajo, el tercil más alto del nivel de betatrofina mostró una asociación con mayor riesgo de síndrome metabólico (odds ratio ajustado = 3,521, intervalo de confianza [IC] 95% [1,413], p = 0,023). Se desarrolló la curva ROC de betatrofina para pronosticar la presencia de síndrome metabólico (área bajo la curva ROC = 0,682 [95% IC, 0,597-0,767], p < 0,001). Además, la betatrofina mostró correlación con distintos parámetros, como edad (r = 0,286, p < 0,001), índice de masa corporal (r = 0,160, p = 0,046), índice cintura-cadera (r = 0,241, p = 0,002), lipoproteína de alta densidad (r = -0,167, p = 0,037), lipoproteína de baja densidad (r = -0,195, p = 0,015), glucosa plasmática en ayunas (r = 0,266, p = 0,001), hemoglobina A1C (r = 0,314, p < 0,001), índice de resistencia a la insulina mediante HOMA (r = 0,272, p = 0,001) y diversas adipoquinas, entre ellas resistina (r = 0,571, p < 0,001), interleucina-8 (r = 0,435, p < 0,001), factor de necrosis tumoral alfa (r = 0,295, p = 0,011) y lipocalina-2 (r = 0,346, p = 0,003). Conclusiones: este estudio demuestra que la betatrofina en suero desempeña una importante labor en el síndrome metabólico, implicando la regulación del metabolismo de la glucosa y los lípidos y la inflamación. AbstractBackground: Betatrophin is a novel adipokine that provokes pancreatic β-cell proliferation and is involved in lipid metabolism. Aims: This study aims to evaluate the role of serum betatrophin in metabolic syndrome (MetS). Methods: A hospital-based, age-/gender-matched case control study was conducted. The serum betatrophin level was evaluated by enzymelinked immunosorbent assay. Serum concentrations of 12 adipokines were measured to assess their associations with serum betatrophin, using commercial Adipokine Magnetic Bead Panel kits. Statistical analyses included bivariate correlation, receiver operating characteristic (ROC) curve, and multivariate stepwise linear regression. Conclusions: This study supports that serum betatrophin plays an important role in MetS, involving the regulations of glucose and lipid metabolism and inflammation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.