Détection fortuite d’une synovite villonodulaire extra-articulaire du muscle psoas en tomographie par émission de positons au 18F-fluorodésoxyglucose

Pigmented villonodular synovitis (PVNS) is a benign but locally aggressive disorder, which commonly involves large joints. This article reports a rare case of an extra-articular PVNS located within the left psoas muscle. This lesion has been accidentally discovered during a follow-up FDG PET/CT. The patient was asymptomatic and did not undergo any surgery. This article reports that FDG PET/CT could be helpful for monitoring PVNS.     

Acid-sensing ion channel 3 mediates peripheral anti-hyperalgesia effects of acupuncture in mice inflammatory pain

Background  

Peripheral tissue inflammation initiates hyperalgesia accompanied by tissue acidosis, nociceptor activation, and inflammation mediators. Recent studies have suggested a significantly increased expression of acid-sensing ion channel 3 (ASIC3) in both carrageenan- and complete Freund's adjuvant (CFA)-induced inflammation. This study tested the hypothesis that acupuncture is curative for mechanical hyperalgesia induced by peripheral inflammation.     

Protein structure similarity from principle component correlation analysis

Background  

Owing to rapid expansion of protein structure databases in recent years, methods of structure comparison are becoming increasingly effective and important in revealing novel information on functional properties of proteins and their roles in the grand scheme of evolutionary biology. Currently, the structural similarity between two proteins is measured by the root-mean-square-deviation (RMSD) in their best-superimposed atomic coordinates. RMSD is the golden rule of measuring structural similarity when the structures are nearly identical; it, however, fails to detect the higher order topological similarities in proteins evolved into different shapes. We propose new algorithms for extracting geometrical invariants of proteins that can be effectively used to identify homologous protein structures or topologies in order to quantify both close and remote structural similarities.     

Conditional random pattern model for copy number aberration detection

Background  

DNA copy number aberration (CNA) is very important in the pathogenesis of tumors and other diseases. For example, CNAs may result in suppression of anti-oncogenes and activation of oncogenes, which would cause certain types of cancers. High density single nucleotide polymorphism (SNP) array data is widely used for the CNA detection. However, it is nontrivial to detect the CNA automatically because the signals obtained from high density SNP arrays often have low signal-to-noise ratio (SNR), which might be caused by whole genome amplification, mixtures of normal and tumor cells, experimental noise or other technical limitations. With the reduction in SNR, many false CNA regions are often detected and the true CNA regions are missed. Thus, more sophisticated statistical models are needed to make the CNAs detection, using the low SNR signals, more robust and reliable.     

Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces

Background

Predicting drug-protein interactions from heterogeneous biological data sources is a key step for in silico drug discovery. The difficulty of this prediction task lies in the rarity of known drug-protein interactions and myriad unknown interactions to be predicted. To meet this challenge, a manifold regularization semi-supervised learning method is presented to tackle this issue by using labeled and unlabeled information which often generates better results than using the labeled data alone. Furthermore, our semi-supervised learning method integrates known drug-protein interaction network information as well as chemical structure and genomic sequence data.

Results

Using the proposed method, we predicted certain drug-protein interactions on the enzyme, ion channel, GPCRs, and nuclear receptor data sets. Some of them are confirmed by the latest publicly available drug targets databases such as KEGG.

Conclusions

We report encouraging results of using our method for drug-protein interaction network reconstruction which may shed light on the molecular interaction inference and new uses of marketed drugs.

     

On Cross-Sectional Associations of Leukocyte Telomere Length with Cardiac Systolic,Diastolic and Vascular Function: The Asklepios Study

Background

Systemic telomere length has been associated with measures of diastolic function, vascular stiffness and left ventricular mass mainly in smaller, patient-specific settings and not in a general population. In this study we describe the applicability of these findings in a large, representative population.

Methods and Results

Peripheral blood leukocyte telomere length (PBL TL) was measured using telomere restriction fragment analysis in the young to middle-aged (>2500 volunteers, ∼35 to 55 years old) Asklepios study population, free from overt cardiovascular disease. Subjects underwent extensive echocardiographic, hemodynamic and biochemical phenotyping. After adjusting for relevant confounders (age, sex, systolic blood pressure, heart rate, body mass index and use of antihypertensive drugs) we found no associations between PBL TL and left ventricular mass index (P = 0.943), ejection fraction (P = 0.933), peak systolic septal annular motion (P = 0.238), pulse wave velocity (P = 0.971) or pulse pressure (P = 0.999). In contrast, our data showed positive associations between PBL TL and parameters of LV filling: the transmitral flow early (E) to late (A) velocity ratio (E/A-ratio; P<0.001), the ratio of early (e′) to late (a′) mitral annular velocities (e′/a′-ratio; P = 0.012) and isovolumic relaxation time (P = 0.015). Interestingly, these associations were stronger in women than in men and were driven by associations between PBL TL and the late diastolic components (A and a′).

Conclusions

In a generally healthy, young to middle-aged population, PBL TL is not related to LV mass or systolic function, but might be associated with an altered LV filling pattern, especially in women.     

Lower red blood cell counts in middle-aged subjects with shorter peripheral blood leukocyte telomere length

Although telomere biology was revealed to play an important role in several hematopoietic disorders, its impact on the age-dependent dynamics of regular hematopoiesis is poorly understood. In vitro results suggest that particularly the erythropoietic capacity might be limited by critically short telomere length (TL). However, it remains unclear whether TL also affects erythropoiesis in healthy individuals in vivo. Therefore, we analyzed the associations between relevant hematopoietic parameters and peripheral blood leukocyte TL in the apparently healthy Asklepios study population, aged approximately 35-55 years (N > 2500). Our data indicate a clear positive, age and paternal age at birth adjusted, correlation between TL and red blood cell count, both in men (p < 0.001) and women (p = 0.011). This association was particularly significant in the older segment of the population (> 45 years old, both sexes: p = 0.003) and in younger men (p = 0.013), but not in younger women (p = 0.521). Further adjustment for known determinants in a general linear model revealed that peripheral blood leukocyte TL is most probably an independent predictor of red blood cell count (p < 0.001), suggesting that critical telomere shortening might also limit erythropoiesis in vivo. While negligible in a middle-aged population, the clinical consequences might be important in the elderly (e.g. in anemia of chronic disease). Further studies are required to confirm the impact of our results.