WordNet

mutual or reciprocal relation or relatedness; "interrelationships of animal structure and function" (同)interrelationship, interrelatedness
a reciprocal relation between two or more things (同)correlativity
a statistical relation between two or more variables such that systematic changes in the value of one variable are accompanied by systematic changes in the other (同)correlational statistics

PrepTutorEJDIC

(…の間の)相互関係《+『between』+『名』》
〈C〉(…間の)相互関係《+『between』+『名』》;(…との)関連《+『with』+『名』》 / 〈U〉《文》関連させること;相関関係にある状態 / 〈C〉相関グラフ

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1. 糖尿病性網膜症の予防及び治療 prevention and treatment of diabetic retinopathy

English Journal

Integration of microarray profiles associated with cardiomyopathy and the potential role of Ube3a in apoptosis.

Zhang J1, Song R1, Li Y1, Feng J1, Peng L2, Li J1.Author information 1Division of Preventive Medicine, Ministry of Education, Tongji University School of Medicine, Shanghai 200092, P.R. China.2Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Shanghai 200092, P.R. China.AbstractCardiomyopathy is the one of the primary causes of mortality. High‑throughput genome datasets provide novel information that aids the understanding of the complex mechanisms involved in cardiomyopathy. However, the causative mechanisms underlying cardiomyopathy are yet to be elucidated. In order to improve the use of the high‑throughput genome datasets, the present study employed 9 microarray datasets to mine for differentially expressed cardiomyopathy‑associated genes using bioinformatic methods. Following validation using quantitative polymerase chain reaction, ubiquitin‑protein ligase E3a (Ube3a) was selected as a candidate gene for the disease. Substantial evidence suggests that apoptosis may be involved in the pathophysiology of cardiomyopathies. Therefore, in the present study, H2O2 was utilized to induce apoptosis in H9C2 cells in order to understand the interrelation between Ube3a and the apoptosis-related protein p53. Ube3a and p53 were observed to be significantly increased at the transcriptional and translational levels in response to H2O2 treatment. The results of this study indicate the efficiency of the data integration and the significant interrelation between Ube3a and p53 in myocardial cells during apoptosis.
Molecular medicine reports.Mol Med Rep.2014 Feb;9(2):621-5. doi: 10.3892/mmr.2013.1848. Epub 2013 Dec 9.
Cardiomyopathy is the one of the primary causes of mortality. High‑throughput genome datasets provide novel information that aids the understanding of the complex mechanisms involved in cardiomyopathy. However, the causative mechanisms underlying cardiomyopathy are yet to be elucidated. In order t
PMID 24337433

Effect of type 2 diabetes mellitus on epicardial adipose tissue volume and coronary vasomotor function.

Chen WJ1, Danad I2, Raijmakers PG3, Halbmeijer R4, Harms HJ3, Lammertsma AA3, van Rossum AC2, Diamant M5, Knaapen P2.Author information 1Diabetes Center, Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands. Electronic address: j.chen@vumc.nl.2Department of Cardiology, VU University Medical Center, Amsterdam, The Netherlands.3Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands.4Department of Cardiology, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands.5Diabetes Center, Department of Internal Medicine, VU University Medical Center, Amsterdam, The Netherlands.AbstractPatients with coronary artery disease and/or type 2 diabetes mellitus (DM) generally exhibit more epicardial adipose tissue (EAT) than healthy controls. Recently, it has been proposed that EAT affects vascular function and structure by secreting proinflammatory and vasoactive substances, thereby potentially contributing to the development of cardiovascular disease. In the present study, the interrelation of EAT, coronary vasomotor function, and coronary artery calcium was investigated in patients with and without DM, who were evaluated for coronary artery disease. Myocardial blood flow (MBF) was assessed at rest and during adenosine-induced hyperemia using [(15)O]-water positron emission tomography combined with computed tomography to quantify coronary artery calcium and EAT in 199 patients (46 with DM). In this cohort (mean age 58 ± 10 years), the patients with DM had a greater body mass index, heart rate, and systolic blood pressure at rest (all p <0.05). Coronary artery calcium and the EAT volumes were comparable between those with and without DM. Both patient groups showed comparable MBF at rest and coronary vascular resistance. A lower hyperemic MBF and coronary flow reserve (CFR) and greater hyperemic coronary vascular resistance (all p <0.05) was observed in the patients with DM. A pooled analysis showed a positive association of EAT volume with hyperemic coronary vascular resistance but not with the MBF at rest, hyperemic MBF, or coronary vascular resistance at rest. In the group analysis, the EAT volume was inversely associated with hyperemic MBF (r = -0.16, p = 0.05) and CFR (r = -0.17, p = 0.04) and positively with hyperemic coronary vascular resistance (r = 0.26, p = 0.002) only in patients without DM. Multivariate regression analysis, adjusted for age, gender, and body mass index, showed an independent association between the EAT volume and hyperemic MBF (β = -0.16, p = 0.02), CFR (β = -0.16, p = 0.04), and hyperemic coronary vascular resistance (β = 0.25, p <0.001) in the non-DM group. In conclusion, these results suggest a role for EAT in myocardial microvascular dysfunction; however, once DM has developed, other factors might be more dominant in contributing to impaired myocardial microvascular dysfunction.
The American journal of cardiology.Am J Cardiol.2014 Jan 1;113(1):90-7. doi: 10.1016/j.amjcard.2013.09.022. Epub 2013 Oct 3.
Patients with coronary artery disease and/or type 2 diabetes mellitus (DM) generally exhibit more epicardial adipose tissue (EAT) than healthy controls. Recently, it has been proposed that EAT affects vascular function and structure by secreting proinflammatory and vasoactive substances, thereby pot
PMID 24169015

A practical data processing workflow for multi-OMICS projects.

Kohl M, Megger DA, Trippler M, Meckel H, Ahrens M, Bracht T, Weber F, Hoffmann AC, Baba HA, Sitek B, Schlaak JF, Meyer HE, Stephan C, Eisenacher M.Author information Medizinisches Proteom-Center, Ruhr-Universitaet Bochum, Universitaetsstrasse 150, D-44801 Bochum, Germany. Electronic address: michael.kohl@rub.de.AbstractMulti-OMICS approaches aim on the integration of quantitative data obtained for different biological molecules in order to understand their interrelation and the functioning of larger systems. This paper deals with several data integration and data processing issues that frequently occur within this context. To this end, the data processing workflow within the PROFILE project is presented, a multi-OMICS project that aims on identification of novel biomarkers and the development of new therapeutic targets for seven important liver diseases. Furthermore, a software called CrossPlatformCommander is sketched, which facilitates several steps of the proposed workflow in a semi-automatic manner. Application of the software is presented for the detection of novel biomarkers, their ranking and annotation with existing knowledge using the example of corresponding Transcriptomics and Proteomics data sets obtained from patients suffering from hepatocellular carcinoma. Additionally, a linear regression analysis of Transcriptomics vs. Proteomics data is presented and its performance assessed. It was shown, that for capturing profound relations between Transcriptomics and Proteomics data, a simple linear regression analysis is not sufficient and implementation and evaluation of alternative statistical approaches are needed. Additionally, the integration of multivariate variable selection and classification approaches is intended for further development of the software. Although this paper focuses only on the combination of data obtained from quantitative Proteomics and Transcriptomics experiments, several approaches and data integration steps are also applicable for other OMICS technologies. Keeping specific restrictions in mind the suggested workflow (or at least parts of it) may be used as a template for similar projects that make use of different high throughput techniques. This article is part of a Special Issue entitled: Computational Proteomics in the Post-Identification Era. Guest Editors: Martin Eisenacher and Christian Stephan.
Biochimica et biophysica acta.Biochim Biophys Acta.2014 Jan;1844(1 Pt A):52-62. doi: 10.1016/j.bbapap.2013.02.029. Epub 2013 Mar 15.
Multi-OMICS approaches aim on the integration of quantitative data obtained for different biological molecules in order to understand their interrelation and the functioning of larger systems. This paper deals with several data integration and data processing issues that frequently occur within this
PMID 23501674

Human auditory neuroimaging of intensity and loudness.

Uppenkamp S, Röhl M.Author information Medizinische Physik, Carl von Ossietzky Universität, 26111 Oldenburg, Germany. Electronic address: stefan.uppenkamp@uni-oldenburg.de.AbstractThe physical intensity of a sound, usually expressed in dB on a logarithmic ratio scale, can easily be measured using technical equipment. Loudness is the perceptual correlate of sound intensity, and is usually determined by means of some sort of psychophysical scaling procedure. The interrelation of sound intensity and perceived loudness is still a matter of debate, and the physiological correlate of loudness perception in the human auditory pathway is not completely understood. Various studies indicate that the activation in human auditory cortex is more a representation of loudness sensation rather than of physical sound pressure level. This raises the questions (1), at what stage or stages in the ascending auditory pathway is the transformation of the physical stimulus into its perceptual correlate completed, and (2), to what extent other factors affecting individual loudness judgements might modulate the brain activation as registered by auditory neuroimaging. An overview is given about recent studies on the effects of sound intensity, duration, bandwidth and individual hearing status on the activation in the human auditory system, as measured by various approaches in auditory neuroimaging. This article is part of a Special Issue entitled <Human Auditory Neuroimaging>.
Hearing research.Hear Res.2014 Jan;307:65-73. doi: 10.1016/j.heares.2013.08.005. Epub 2013 Aug 22.
The physical intensity of a sound, usually expressed in dB on a logarithmic ratio scale, can easily be measured using technical equipment. Loudness is the perceptual correlate of sound intensity, and is usually determined by means of some sort of psychophysical scaling procedure. The interrelation o
PMID 23973563