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Aggresome-Autophagy Related Gene HDAC6 Can be a Prospective Biomarker throughout Pan-Cancer, Specifically in Intestinal tract Adenocarcinoma.
BACKGROUND Osteoporosis-related fractures are common in patients with rheumatoid arthritis (RA). Autophinib solubility dmso Bone mineral density (BMD) measurements using dual-energy x‑ray absorptiometry (DXA) alone has only a limited value for predicting the risk of fractures. The trabecular bone score (TBS) is a surrogate parameter for trabecular microarchitecture of bone and a predictor of fracture risk independent of BMD. AIM To examine the prevalence of BMD, TBS and osteoporosis-related vertebral fractures (VF) in patients with RA in comparison to controls with non-inflammatory musculoskeletal diseases. METHODS Data from patients with RA diagnosed by a rheumatologist and with TBS and DXA measurements, who were assessed in this hospital between 2006 and 2014 were retrospectively analyzed. The RA patients were matched with controls with non-inflammatory musculoskeletal diseases. "Reduced bone health" was defined as a T‑score less then -1.0 and/or a TBS value less then -1.31. Statistical analyses were carried out using the Mann-Whiteased fracture risk in patients with RA and normal spine BMD.OBJECTIVE To evaluate the diagnostic efficacy of intravoxel incoherent motion (IVIM) parameters in hepatitis B virus (HBV)-induced hepatic fibrosis using different calculation methods and to investigate histopathologic origins. MATERIALS AND METHODS Liver biopsies from 37 prospectively recruited chronic hepatitis B patients were obtained. Twelve b-value (0-1000 s/mm2) diffusion-weighted imaging (DWI) was performed with a 1.5 T scanner and was followed by blinded percutaneous liver biopsy. All biopsy specimens were evaluated with Ishak staging, and the microvascular density (MVD) was calculated. Patients were classified as having no/mild (F0-1), moderate (F2-3), or marked (F4-5) fibrosis. Pseudodiffusion (D*), the perfusion fraction (f), and the apparent diffusion coefficient (ADC) were calculated using all b-values, while true diffusion (D) was calculated using all b-values [D0-1000] and b-values greater than 200 s/mm2 [D200-1000]. Three concentric regions of interest (ROIs) (5, 10, and 20 mm) centered on the biopsy site were used. RESULTS D* was correlated with the MVD (p = 0.015, Pearson's r = 0.415), but f was not (p = 0.119). D0-1000 was inversely correlated with Ishak stage (p = 0.000, Spearman's rs =  - 0.685) and was significantly decreased in all the fibrosis groups; however, only the no/mild and marked fibrosis groups had significantly different D200-1000 values. A pairwise comparison of receiver operating characteristic (ROC) curves of D0-1000 and D200-1000 showed significant differences (p = 0.039). D* was the best at discriminating early fibrosis (AUC = 0.861), while the ADC best discriminated advanced fibrosis (AUC = 0.964). CONCLUSION D* was correlated with the MVD and is a powerful parameter to discriminate early hepatic fibrosis. D significantly decreased with advanced fibrosis stage when using b-values less than 200 s/mm2 in calculations.PURPOSE To investigate the value of CT and MR imaging features in differentiating borderline ovarian tumor (BOT) from type I ovarian epithelial cancer (OEC), which could be significant for suitable clinical treatment and assessment of the prognosis of the patient. METHODS Thirty-three patients with BOTs and 35 patients with type I OECs proven by pathology were retrospectively evaluated. The clinico-pathological information (age, premenopausal status, CA-125, and Ki-67) and imaging characteristics were compared between two groups of ovarian tumors. The diagnostic performance of the imaging features was evaluated using receiver operating characteristic analysis. The best predictor variables for type I EOCs were recognized via multivariate analyses. RESULTS BOTs are more likely to involve younger patients and frequently show lower CA-125 values and lower proliferation indices (Ki-67 less then 15%) than type I OECs. Compared with type I OECs, BOTs were more often purely cystic (15/33, 45.45% vs. 1/35, 2.86%; p less then 0.001) and displayed less frequent mural nodules (16/33, 48.48% vs. 28/35, 80.00%; p = 0.007), less frequently unclear margin (3/33, 9.09% vs. 11/35, 31.43%; p = 0.023), smaller solid portion (0.56 ± 2.66 vs. 4.51 ± 3.88; p less then 0.001), and thinner walls (0.3 ± 0.17 vs. 0.55 ± 0.24; p less then 0.001). The maximum wall thickness presented the largest area under the curve (AUC, 0.848). Multivariate analysis revealed that the solid portion size (OR 10.822, p = 0.002) and maximum wall thickness (OR 9.130, p = 0.001) were independent indicators for the differential diagnosis between the two groups of lesions. CONCLUSION The solid portion size and maximum wall thickness significantly influenced the classification of the two groups of ovarian tumors.Herein, we report a rapid and sensitive colorimetric detection of Hg2+ by designing a specific DNA probe with phosphorothioate RNA modification (PS-probe) for Hg2+ recognition and utilizing DNA-modified gold nanoparticles (DNA-AuNPs) as the transducer. The distance between two DNA-AuNPs is controlled by a linker DNA, providing the linker DNA-regulated aggregation or dispersion status of AuNPs in solution. Exonuclease III (Exo III) can trigger the recycled digestion of linker DNA strands, inhibiting the reformation of aggregated nanoparticles and hence leading to a color shift from purple to red. However, the Hg2+-induced cleavage of the PS-probe can efficiently prevent the digestion of linker DNA strands by Exo III and hence reassemble the modified AuNPs to form aggregates in purple color. Thus, a positive correlation between the linker DNA strands left and the addition of Hg2+ provides a quantitative basis for Hg2+ sensing. A linear range of A520/A700 versus Hg2+ concentration is achieved in the range 2-100 nM associated with a detection limit as low as 1.30 ± 0.04 nM. Moreover, the biosensor exhibits excellent selectivity for Hg2+. The strong selectivity behavior was confirmed by recoveries ranging from 96 to 114% in real water samples. Graphical abstractSchematic representation of sensing mechanism of Hg2+ using a DNA probe with phosphorothioate RNA modification (PS-probe) and Exo III-assisted signal amplification.
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