Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P21817 (RyR1)
 1,154 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Renin binding protein (RnBP), a cellular renin inhibitor, has been identified as the enzyme N-acetyl-D-glucosamine (GlcNAc) 2-epimerase. Our recent studies demonstrated that rat GlcNAc 2-epimerase has a ten-times higher affinity for ATP, dATP, and ddATP than the human enzyme [Takahashi, S. et al. (2001) J. Biochem. 130, 815-821]. To identify the domain conferring nucleotide binding to GlcNAc 2-epimerase, we constructed a series of chimeric enzymes successively replacing the three domains of the human enzyme (N-terminal, middle, and C-terminal domains) with the corresponding domains of the rat enzyme. Chimeras were expressed in Escherichia coli JM109 cells under the control of the Taq promoter. The purified chimeric enzymes had GlcNAc 2-epimerase activity and inhibited renin activity in a dose-dependent manner. The recombinant human and rat enzymes required catalytic amounts of ATP with apparent K(m) values of 73 and 5.5 microM, respectively. Chimeric enzymes of HHR, RHH, and RHR (H, human type domain; R, rat type domain) had nearly the same nucleotide specificity as the human GlcNAc 2-epimerase. On the other hand, HRR, HRH, and RRH chimeras had the same nucleotide specificity as the rat enzyme. These results indicate that the middle domain of the GlcNAc 2-epimerase molecule participates in the specificity for and binding of nucleotides, and that nucleotides are essential to form the catalytic domain of the enzyme.
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PMID:Identification of a domain conferring nucleotide binding to the N-acetyl-d-glucosamine 2-epimerase (Renin binding protein). 1192 99

The objective of this study was to determine the effects of exercise training on changes in C-reactive protein (CRP) and other cardiovascular risk factors in postmenopausal breast cancer survivors. Fifty-three postmenopausal breast cancer survivors were randomly assigned to an exercise (n = 25) or control group (n = 28). The exercise group trained on cycle ergometers 3 times per week for 15 weeks. The control group did not train. The primary end point was change in CRP between baseline and week 15. Secondary end points were changes in RHR, HRR, SBP, DBP, TC, LDL-C, HDL-C, TG, and TC:HDL-C ratio. Fifty-two participants completed the trial. Baseline values did not differ between groups except that TG (p = .007) and TC:HDL-C ratio (p = .023) were higher in the exercise group. Intention-to-treat analysis showed that CRP decreased by 1.39 mg/L in the exercise group whereas it increased by 0.10 mg/L in the control group (mean between group change, -1.49 mg/L; 95% CI, -3.09 to 0.10 mg/L; p = .066). Intention-to-treat analysis also showed a clinically and statistically significant difference between groups for change in HRR (mean change, +10.6 beats/min; 95% CI, +3.4 to +17.7 beats/min; p = .004) and clinically but not statistically significant differences between groups for change in RHR (mean change, -5.5 beats/min; 95% CI, -11.5 to +0.5 beats/min; p = .073), SBP (mean change, -5.5 mmHg; 95% CI, -14.5 to +3.4 mmHg; p = .218), DBP (mean change,-3.6 mmHg; 95% CI, -9.3 to +2.1 mmHg; p = .214), and HDL-C (mean change, +0.05 mmol/L; 95% CI, -0.03 to 0.14 mmol/L; p = .214). These data suggest that exercise training may have beneficial effects on CRP and other cardiovascular risk factors in postmenopausal breast cancer survivors. Larger randomized controlled trials are warranted.
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PMID:Effect of exercise training on C-reactive protein in postmenopausal breast cancer survivors: a randomized controlled trial. 1592 56

Although studies have shown an inverse association between cardiorespiratory fitness (CRF) and C-reactive protein (CRP) levels, the underlying mechanisms are not fully understood. There is emerging evidence that autonomic nervous system function is related to CRP levels. Because high CRF is related to improved autonomic function, we hypothesized that the association between high CRF and low CRP levels would be affected by autonomic nervous system function. Cross-sectional analyses were conducted on 2,456 asymptomatic men who participated in a medical screening program. Fasting blood samples for cardiovascular disease risk factors were analyzed, and CRF was measured by maximal exercise treadmill test with expired gas analysis. We used an index of cardiac autonomic imbalance defined as the ratio of resting heart rate to 1 min of heart rate recovery after exercise (RHR/HRR). CRF was significantly correlated with CRP (r = -0.16, P < 0.05), and RHR/HRR (r = -0.48, P < 0.05), while RHR/HRR was significantly correlated with CRP (r = 0.25, P < 0.05). In multivariable linear regression models that adjusted for age, body mass index, smoking, disease status, medications, lipid profiles, glucose, and systolic blood pressure, CRF was inversely associated with CRP (beta = -0.09, P < 0.05). However, this relationship was no longer significant after adjusting for RHR/HRR in a multivariable linear regression model (beta = -0.03, P = 0.29). These results suggest that autonomic nervous system function significantly affects the relationship between CRF and inflammation in middle-aged men. Thus, physical activity or exercise training may favorably affect the cholinergic antiinflammatory pathway, but additional research is needed to confirm this finding.
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PMID:The inverse association between cardiorespiratory fitness and C-reactive protein is mediated by autonomic function: a possible role of the cholinergic antiinflammatory pathway. 1960 5

In modern manufacturing systems, especially assembly lines, human input is a critical resource to provide dexterity and flexibility. However, the repetitive precision tasks common in assembly lines can have adverse effects on workers and overall system performance. We present a data-driven approach to evaluating task performance using wearable sensor data (kinematics, electromyography and heart rate). Eighteen participants (gender-balanced) completed repeated cycles of maze tracking and assembly/disassembly. Various combinations of input data types and classification algorithms were used to model task performance. The use of the linear discriminant analysis (LDA) algorithm and kinematic data provided the most promising classification performance. The highest model accuracy was found using the LDA algorithm and all data types, with respective levels of 62.4, 88.6, 85.8 and 94.1% for predicting maze errors, maze speed, assembly/disassembly errors and assembly/disassembly speed. The presented approach provides the possibility for real-time, on-line and comprehensive monitoring of system performance in assembly-lines or similar industries. Practitioner summary: This paper proposed models the repetitive precision task performance using data collected from wearable sensors. The use of the LDA algorithm and kinematic data provided the most promising classification performance. The presented approach provides the possibility for real-time, on-line and comprehensive monitoring of system performance in assembly lines or similar industries. Abbreviations: AD: anterior deltoid; BB: biceps brachii; ECR: extensor carpi radialis; ECU: extensor carpi ulnaris; FCR: flexor carpi radialis; FCU: flexor carpi ulnaris; FN: false negatives; FP: false positives; HR: heart rate; HRR: heart rate reserve; IMUs: inertial measurement units; kNN: k-nearest neighbors; LDA: linear discriminant analysis; MD: medial deltoid; MF: median power frequency; MNF: mean power frequency; MVIC: maximum voluntary isometric contraction; nRMS: normalized root-mean-square amplitudes; PD: posterior deltoid; RandFor: random forests; RHR: resting heart rate; RMS: root-mean-square amplitudes; sEMG: surface electromyographic; SVM: support vector machines; TB: triceps brachii medial; TN: true negatives; TP: true positives; t-SNE: t-distributed Stochastic Neighbor Embedding; UT: upper trapezius.
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PMID:Modelling performance during repetitive precision tasks using wearable sensors: a data-driven approach. 3232 75