Khalda Amr

PLOD2 and FKBP10 are genes mutated in Bruck syndrome (BS), a condition resembling osteogenesis imperfecta (OI), but that is also typically associated with congenital joint contractures. Herein, we sought mutations in six consanguineous BS families and detected changes in either PLOD2 or FKBP10 in all cases. Two probands were found with a homozygous frameshift mutation in the alternative exon 13a of PLOD2, indicating that specific inactivation of the longer protein isoform encoded by this gene is sufficient to cause BS. In addition, by homozygosity mapping, followed by a candidate gene approach, we identified a homozygous donor splice site mutation in PLOD2 in a patient with autosomal-recessive OI (AR-OI). Screening of additional samples also revealed compound heterozygous mutations in PLOD2 in two brothers, one affected with mild AR-OI and the other with mild BS. Thus, PLOD2 in addition to causing BS is also associated with AR-OI phenotypes of variable severity.

Hepatocellular carcinoma (HCC) is one of the common lethal types of tumor all over the world. The lethality of HCC accounts for many reasons. One of them, the lack of reliable diagnostic markers at the early stage, in this context, serum miRNAs became promising diagnostic biomarkers. Herein, we aimed to identify the predictive value of two miRNAs (miR-122 and miR-224) in plasma of patients with HCC preceded by chronic HCV infection. Taqman miRNA assays specific for hsa-miR-122 and hsa-miR-224 were used to assess the expression levels of the chosen miRNAs in plasma samples collected from three groups; 40 patients with HCC related to HCV, 40 with CHC patients and 20 healthy volunteers. This study revealed that the mean plasma values of miRNA-122 were significantly lower among HCC group when compared to CHC and control groups (P < 0.001). Whereas, miR-224 mean plasma values were significantly higher among HCC group when compared to both CHC group and control group. Moreover, it was found that miR-122 can predict development of HCC at cut-off value <0.67 (RQ) and (AUC = 0.98, P < 0.001). As regards miR-224, it can predict development of HCC at cut-off value >1.2 (RQ) and (AUC = 0.93, P < 0.001), while the accuracy of AFP to diagnose HCC was (AUC: 0.619; P = 0.06). In conclusion, the expression plasma of miR-122 and miR-224 could be used as noninvasive biomarkers for the early prediction of developing HCC at the early stage.