Three-Dimensional Analysis of Midfacial Soft Tissue Changes After Maxillary Posterior Impaction and Intraoral Vertical Ramus Osteotomy for Mandibular Setback in Class III Patients.

This study investigated the correlation between the 3-dimensional changes in midfacial soft tissues, including the parasagittal area and maxilla-mandible complex, after Le Fort I maxillary posterior impaction and bilateral intraoral vertical ramus osteotomy (B-IVRO), using cone-beam computed tomography (CBCT). This retrospective study included 22 skeletal Class III patients (6 men and 16 women; mean age 21.6 years) who underwent orthognathic surgery. Three-dimensional CBCT images taken before and 1 year after surgery were superimposed based on the cranial base. Midfacial soft tissues, including those in the parasagittal area (paranasal area, anterior cheek area, lateral cheek area) and midsagittal areas of the face, were evaluated using reconstructed CBCT images. Correlations and the ratios between soft tissue and hard tissue movement were calculated. After surgery, both paranasal areas showed significant forward movement (about 2.0 mm) and the largest upward movement (about 0.15 mm) among the 3 areas. The paranasal areas moved forward with a ratio of 0.5, according to vertical movement of B. Orthognathic surgery using Le Fort I maxillary posterior impaction with B-IVRO mandibular setback results in forward movement of midfacial soft tissues, even though sagittal movement of the maxilla is limited because facial muscles and retaining ligaments pull the redundant soft tissues, which are caused by vertical movement of the maxilla-mandible. This midfacial soft tissue change with maxillary posterior impaction could be advantageous to patients who have paranasal depression and protrusion of the upper lip owing to proclined upper incisors, which are prevalent among Asian Class III patients.

Meta-review of protein network regulating obesity between validated obesity candidate genes in the white adipose tissue of high-fat diet-induced obese C57BL/6J mice.

Worldwide obesity and related comorbidities are increasing, but identifying new therapeutic targets remains a challenge. A plethora of microarray studies in diet-induced obesity models has provided large datasets of obesity associated genes. In this review, we describe an approach to examine the underlying molecular network regulating obesity, and we discuss interactions between obesity candidate genes. We conducted network analysis on functional protein-protein interactions associated with 25 obesity candidate genes identified in a literature-driven approach based on published microarray studies of diet-induced obesity. The obesity candidate genes were closely associated with lipid metabolism and inflammation. Peroxisome proliferator activated receptor gamma (Pparg) appeared to be a core obesity gene, and obesity candidate genes were highly interconnected, suggesting a coordinately regulated molecular network in adipose tissue. In conclusion, the current network analysis approach may help elucidate the underlying molecular network regulating obesity and identify anti-obesity targets for therapeutic intervention.

Predicting tissue-specific expressions based on sequence characteristics.

In multicellular organisms, including humans, understanding expression specificity at the tissue level is essential for interpreting protein function, such as tissue differentiation. We developed a prediction approach via generated sequence features from overrepresented patterns in housekeeping (HK) and tissue-specific (TS) genes to classify TS expression in humans. Using TS domains and transcriptional factor binding sites (TFBSs), sequence characteristics were used as indices of expressed tissues in a Random Forest algorithm by scoring exclusive patterns considering the biological intuition; TFBSs regulate gene expression, and the domains reflect the functional specificity of a TS gene. Our proposed approach displayed better performance than previous attempts and was validated using computational and experimental methods.

[Clinical significance of transiently elevated serum AFP level in developing hepatocellular carcinoma in HBsAg positive-liver cirrhosis].

BACKGROUND/AIMS: Serum alpha fetoprotein (alpha-FP) measurement has a limitation to detect hepatocellular carcinoma (HCC) because it is elevated in various liver diseases. Therefore, we studied the sensitivity and specificity of high alpha-FP in the diagnosis of HCC. METHODS: We studied 253 patients with HBsAg positive liver cirrhosis prospectively. We analyzed incidence of HCC related cut-off values of serum alpha-FP levels. During the follow-up period, we analyzed sensitivity and specificity of cut-off values of alpha-FP for the diagnosis of HCC, and alpha-FP elevation rate in relation to mass size. RESULTS: One hundred and twenty-five patients had a transient elevation of alpha-FP levels above 20 ng/mL. The corresponding incidences of HCC were 27.2% (34/125) and 15.6% (20/128 patients without elevation of alpha-FP), respectively with a statistically significant difference (p=0.03). Among 54 patients with HCC, 18 patients (33.0%) had levels of alpha-FP below 20 ng/mL on the time of diagnosis of HCC. When we defined cut-off values of serum alpha-FP as 20, 100 and 500 ng/mL, the corresponding sensitivity and specificity for HCC were 62.9% and 24.0%, 7.4% and 54.2%, 77.3% and 91.9%, respectively. We studied sensitivity according to cut-off values of alpha-FP defined as 20, 100, 200, 500 ng/mL in patients with small HCC below 2 cm. The corresponding sensitivity were 50.0%, 43.7%, 25.0%, 18.7%, respectively. In patients with levels of serum alpha-FP below 20 ng/mL, percentages of mass size less than 2 cm, 2~3 cm, 3~5 cm and more than 5 cm were 50.0%, 25.0%, 28.5% and 25.0%, respectively. CONCLUSIONS: We suggested that in order to detect HCC, careful periodic monitoring with alpha-FP, ultrasonography and abdominal computed tomography is needed in patients with HBsAg positive liver cirrhosis and whose serum level of alpha-FP is above 20 ng/mL.