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The lower-extremity anatomy is complex and normal function is dependent on intact osteochondral, musculotendinous, and ligamentous structures. Injury may result in pain and functional limitation. Specific clinical tests are used to help isolate and define the pathoanatomy; however, their terminology may be confusing to the radiologist and the diagnostic value of these tests may not be well understood. This article presents an algorithmic approach to evaluation of the hip, knee, and ankle to improve the radiologist's understanding of lower-extremity physical examination. Knowledge of test terminology, clinical utility, and diagnostic accuracy will improve clinical and radiologic correlation. The article reviews the common clinical tests used to evaluate the lower extremity and provides an algorithm to establish a clinical examination road map and rapidly review the clinical utility and study hierarchy of a particular test. The sensitivity and specificity of the clinical tests and magnetic resonance (MR) imaging are reviewed because these parameters vary, and an understanding of the diagnostic utility of both the clinical and imaging tests is important in accurately formulating a definitive diagnosis. The structured algorithmic approach to lower-extremity examination described here, knowledge of test jargon, and familiarity with the diagnostic accuracy of the clinical and MR imaging examinations may help the radiologist focus image search patterns and provide detailed and clinically relevant reports. Online supplemental material is available for this article.

The lower-extremity anatomy is complex and normal function is dependent on intact osteochondral, musculotendinous, and ligamentous structures. Injury may result in pain and functional limitation. Specific clinical tests are used to help isolate and define the pathoanatomy; however, their terminology may be confusing to the radiologist and the diagnostic value of these tests may not be well understood. This article presents an algorithmic approach to evaluation of the hip, knee, and ankle to improve the radiologist's understanding of lower-extremity physical examination. Knowledge of test terminology, clinical utility, and diagnostic accuracy will improve clinical and radiologic correlation. The article reviews the common clinical tests used to evaluate the lower extremity and provides an algorithm to establish a clinical examination road map and rapidly review the clinical utility and study hierarchy of a particular test. The sensitivity and specificity of the clinical tests and magnetic resonance (MR) imaging are reviewed because these parameters vary, and an understanding of the diagnostic utility of both the clinical and imaging tests is important in accurately formulating a definitive diagnosis. The structured algorithmic approach to lower-extremity examination described here, knowledge of test jargon, and familiarity with the diagnostic accuracy of the clinical and MR imaging examinations may help the radiologist focus image search patterns and provide detailed and clinically relevant reports. Online supplemental material is available for this article.

The innate antiviral response is mediated, at least in part, by Toll-like receptors (TLRs). TLR3 signaling is activated in response to viral infection, and the absence of TLR3 in mice significantly increases mortality after infection with enteroviruses that cause myocarditis and/or dilated cardiomyopathy. We screened TLR3 in patients diagnosed with enteroviral myocarditis/cardiomyopathy and identified a rare variant in one patient as well as a significantly increased occurrence of a common polymorphism compared with controls. Expression of either variant resulted in significantly reduced TLR3-mediated signaling after stimulation with synthetic double-stranded RNA. Furthermore, Coxsackievirus B3 infection of cell lines expressing mutated TLR3 abrogated activation of the type I interferon pathway, leading to increased viral replication. TLR3-mediated type I interferon signaling required cellular autophagy and was suppressed by 3-methyladenine and bafilomycin A1, by inhibitors of lysosomal proteolysis, and by reduced expression of Beclin 1, Atg5, or microtubule-associated protein 1 light chain 3beta (MAP1LC3beta). However, TLR3-mediated signaling was restored upon exogenous expression of Beclin 1 or a variant MAP1LC3beta fusion protein refractory to RNA interference. These data suggest that individuals harboring these variants may have a blunted innate immune response to enteroviral infection, leading to reduced viral clearance and an increased risk of cardiac pathology.

Hypertrophic cardiomyopathy (HCM) is one of the most common causes of sudden cardiac death in young adults and is a familial disease in at least 60% of cases. Causative mutations have been identified in several sarcomeric genes, including the myosin binding protein C (MYBPC3) gene. Although numerous causative mutations have been identified, the pathogenetic process is still poorly understood. A large animal model of familial HCM In the cat has been identified and may be used for additional study. As the first spontaneous large animal model of this familial disease, feline familial HCM provides a valuable model for investigators to evaluate pathophysiologic processes and therapeutic (pharmacologic or genetic) manipulations. The MYBPC3 gene was chosen as a candidate gene in this model after identifying a reduction in the protein in myocardium from affected cats in comparison to control cats (P< 0.001). DNA sequencing was performed and sequence alterations were evaluated for evidence that they changed the amino acid produced, that the amino acid was conserved and that the protein structure was altered. We identified a single base pair change (G to C) in the feline MYBPC3 gene in affected cats that computationally alters the protein conformation of this gene and results in sarcomeric disorganization. We have identified a causative mutation in the feline MYBPC3 gene that results in the development of familial HCM. This is the first report of a spontaneous mutation causing HCM In a non-human species. It should provide a valuable model for evaluating pathophysiologic processes and therapeutic manipulations.

Although molecular and phenotypic evolution have been studied extensively in Drosophila melanogaster and its close relatives, phylogenetic relationships within the D. melanogaster species subgroup remain unresolved. In particular, recent molecular studies have not converged on the branching orders of the D. yakuba–D. teissieri and D. erecta–D. orena species pairs relative to the D. melanogaster–D. simulans–D. mauritiana–D. sechellia species complex. Here, we reconstruct the phylogeny of the melanogaster species subgroup using DNA sequence data from four nuclear genes. We have employed “vectorette PCR” to obtain sequence data for orthologous regions of the Alcohol dehydrogenase (Adh), Alcohol dehydrogenase related (Adhr), Glucose dehydrogenase (Gld), and rosy (ry) genes (totaling 7164 bp) from six melanogaster subgroup species (D. melanogaster, D. simulans, D. teissieri, D. yakuba, D. erecta, and D. orena) and three species from subgroups outside the melanogaster species subgroup [D. eugracilis (eugracilis subgroup), D. mimetica (suzukii subgroup), and D. lutescens (takahashii subgroup)]. Relationships within the D. simulans complex are not addressed. Phylogenetic analyses employing maximum parsimony, neighbor-joining, and maximum likelihood methods strongly support a D. yakuba–D. teissieri and D. erecta–D. orena clade within the melanogaster species subgroup. D. eugracilis is grouped closer to the melanogaster subgroup than a D. mimetica–D. lutescens clade. This tree topology is supported by reconstructions employing simple (single parameter) and more complex (nonreversible) substitution models.