Computer-aided Facial Analysis in Diagnosing Dysmorphic Syndromes in Indian Children

Objective: To assess the utility of computer-aided facial analysis in identifying dysmorphicsyndromes in Indian children. Methods: Fifty-one patients with a definite molecular orcytogenetic diagnosis and recognizable facial dysmorphism were enrolled in the study andtheir facial photographs were uploaded in the Face2Gene software. The results provided bythe software were compared with the molecular diagnosis. Results: Of the 51 patients, thesoftware predicted the correct diagnosis in 37 patients (72.5%); predicted as the first in thetop ten suggestions in 26 (70.2%). In 14 patients, the software did not suggest a correctdiagnosis. Conclusions: Computer-aided facial analysis is a method that can aid indiagnosis of genetic syndromes in Indian children. As more clinicians start to use thissoftware, its accuracy is expected to improve.

Does cytokine gene polymorphism affect steroid responses in idiopathic nephrotic syndrome?

Background: Immunological responses may be possibly involved in the pathogenesis of idiopathic nephrotic syndrome (INS). Cytokines act as a potent immunomodulator. Pathogenesis of INS is associated with Th1 and Th2 cytokines imbalance. Aims, Settings and Design: We have investigated the association of IL-4, IL-6, and TNF-alpha gene polymorphisms and analyzed the data to evaluate the effect of these polymorphisms on the pathogenesis and clinical course of INS. Materials and Methods: One hundred fifty children with INS were selected. Children were analyzed for IL-4, IL-6, and TNF-alpha gene polymorphisms by using polymerase chain reaction and restriction fragment length polymorphism. Statistical Analysis Used: Chi-square test was used for different comparisons. The synergistic effects of IL-4, IL-6, and TNF-alpha gene polymorphisms were evaluated by using logistic regression analysis. Results and Conclusions: We compared the steroid-resistant (SR) and steroid-responsive (SS) groups. Our results showed strong association of IL-6 -G174C, and IL-4 -C590T at genotypic level (P = 0.0121, OR = 14.71, 95% CI = 1.59-136.46; and P = 0.0386, OR = 7.29, 95% CI = 1.26-41.69). TNF-alpha revealed a strong association at genotypic level (P = 0.0121, OR = 14.71, 95% CI = 1.59-136.46), as well as at allelic level (P = 0.0433, OR = 2.251, 95% CI = 1.09-4.66), demonstrating that it may be considered one of the genetic risk factors affecting the steroid response in INS patients. The GG genotype of IL-6 -G174C, TT genotype of IL-4 -C590T, and AA genotype of TNF-alpha -G308A cytokine gene polymorphisms may be causative factors for nonresponsiveness towards steroid therapy among INS children.