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Effect of adenosine on heart rate variability in humans.

By stimulating afferent nerve endings in skeletal muscle, heart, kidney and the carotid body, adenosine infusion evokes a receptor-specific sympatho-excitatory reflex in humans that overrides its direct negative chronotropic effect. We tested the hypothesis that adenosine increases heart rate by suppressing parasympathetic and augmenting sympathetic components of heart rate variability. High-frequency (PH; 0.15-0.50 Hz) and low-frequency (PL; 0.05-0.15 Hz) components of heart rate variability total power (PT) were determined by spectral analysis. The ratios PH/PT and PL/PH respectively were used to estimate parasympathetic and sympathetic input to the sino-atrial node. Heart rate was recorded before and during a 5 min intravenous infusion of adenosine (140 micrograms.min-1.kg-1) in seven healthy men. Adenosine did not affect blood pressure, but increased heart rate by 33+/-6 beats/min, and reduced PT, PH, PL and PH/PT. In contrast, there was an increase in PL/PH. In a second experiment in nine men, brachial artery infusion of adenosine (15 micrograms.min-1.100 ml-1 forearm tissue) increased heart rate by 3 beats/min, had no effect on PT, PH, PL or PH/PT, yet increased PL/PH. Intra-arterial adenosine exerts a modest effect on heart rate by modulating cardiac sympathetic indices, without affecting parasympathetic indices, of heart rate variability, whereas intravenous infusion of adenosine reduces heart rate variability and raises heart rate by decreasing parasympathetic and increasing cardiac sympathetic tone. These reflex effects may become clinically relevant during adenosine stress testing, or when endogenous adenosine is increased, such as during ischaemia, exercise or vasodepressor reactions, or in heart failure.

Adenosine↗

[Clinical importance of EEG changes during the treatment of epilepsy with valproate (depakene chrono)].

In 24 patient with epilepsy in the age fo 6-46 years the EEG was studied before treatment and after stabilization of the initial and corrected dozes of valproate (depakine chrono). The manual analysis with the formalized quantitative estimation of indexes of epileptic activity (El) and computerized mapping of spectral power in the main bands of EEG was carried out. In 18 patients remission of a half-year and more was achieved. Average El before treatment in all group was 15.1 +/- 1.9, on the initial stabilized doze (10-15 mg/kg/day)--4.3 +/- 1.2 (p = 0.000), at increase of a doze > 15 mg/kg/day, on the average it was not revealed of the further change of El. There was significant positive correlation between epileptic activity in EEG, expressed by El and number of attacks in the patient per one month on the moment of EEG research (r = 0.65, t = 6.58). In 6 patients with farmacoresistence the index of epileptic activity was significantly higher (El = 11.7 +/- 4.3), than in the patients with good effect (El = 1.9 +/- 0.8, p < 0.002). In data of the computer analysis under influence of depakine chrono the reduction of power in all bands and leads was observed, except occipital lobes where the increase of alpha-power was observed. This reflects reduction of epileptic activity and restoration of normal EEG, which accompanied the improvement of social and psychic adaptation. The results of the study demonstrate that automated or manual EEG control is important factor of correct selection of a valproate doze during treatment, that allows not only to suppress effectively the attacks, but on the minimal but sufficient doze to reach improvement of psycho-social functioning and to reduce terms of treatment, at the expense of control of an unpredictable relapse of attacks.

Adolescent↗

[Bioelectrical impedance analysis: opportunities and prospects of using this method in practical dietology].

In clinical practice spectral bioelectrical impedance analysis is a sensitive enough method in an estimation of changes of structure of a body composition and distribution of a liquid on sectors at various modes of a feed in norm and pathology. The analysis of parameters allows to direct the expert on creation of the individual circuits of a feed, is especial at the patients who are taking place on long treatment.

Body Composition↗

[Evaluation of Fourier transform near-infrared spectrometer for determination of oxalate in standard urinary solution].

OBJECTIVES: The determination of oxalate in urine is required for the diagnosis and treatment of primary hyperoxaluria, idiopathic stone disease and various intestinal diseases. We examined the possibility of using Fourier transform near-infrared (FT-NIR) spectroscopy analysis to quantitate urinary oxalate. The practical advantages of this method include ease of the sample preparation and operation technique, the absence of sample pre-treatments, rapid determination and non-invasiveness. METHODS: The range of oxalate concentration in standard urine solutions was 0-221 mg/l. These 80 different samples were scanned in the region of 780-1,300 nm with a 0.5 nm data interval by a Spectrum One NTS FT-NIR spectrometer. PCR, PLSR and MLR regression models were used to calculate and evaluate the calibration equation. RESULTS: The PCR and PLSR calibration models were obtained from the spectral data and they are exactly same. The standard error of estimation (SEE) and the % variance were 10.34 mg/l and 97.86%, respectively. After full cross validation of this model, the standard error of estimation was 5.278 mg/l, which was much smaller than that of the pre-validation. Furthermore, the MCC (multiple correlation coefficient) was 0.998, which was compatible with the 0.923 or 0.999 obtained from the previous enzymatic methods. CONCLUSIONS: These results showed that FT-NIR spectroscopy can be used for rapid determination of the concentration of oxalate in human urine samples.

Calibration↗

[A study on the physiological basis of training effect--with special reference to myoglobin. I. Isolation and properties of myoglobin from dog skeletal muscle (author's transl)].

Myoglobin (Mb) was isolated from canine skeletal muscle by a novel heat denaturation-gel filtration-ion exchange chromatography procedure. The purified major Mb was homogeneous by gel electrophoretic and ultracentrifugal analysis, and the sedimentation coefficient at infinite dilution (S degrees 20, w) was 1.9 S. The molecular weight by sedimentation equilibrium was 1.72 X 10(4) and was essentially identical with the values by the iron analysis (1.80 X 10(4) and the amino acid composition (1.78 X 10(4). The spectroscopic properties of deoxy-, oxy-, carbonmonoxy- and met-derivatives of the Mb were determined in ultraviolet, Soret and visible regions. The pK' of acid-alkaline transition of the met-Mb was estimated as 8.80+/-0.04 (25 degrees) from the pH-dependent spectral change. The oxygen equilibrium studies revealed complete absence of such allosteric properties as heme-heme interaction, anion effect and the Bohr effect which were always present in normal mammalian hemoglobins. Oxygen tension for the half-oxygenation was 0.48 mmHg (20 degrees) and its temperature-dependent change gave the delta H degrees of -15.7 Kcal/mole.

Amino Acids↗

Cloning, expression, and characterization of human apolipoprotein(a) kringle IV37.

A portion of kringle IV37 (KIV37) of apolipoprotein (a), (apo(a)), was polymerase chain reaction-cloned from human liver cDNA. The protein product of this clone was expressed in Escherichia coli as a poly histidine fusion protein. Based on recovery of purified fusion apo(a) KIV37 protein expression levels were estimated to be 10 mg/g of E. coli cell paste. Mass spectral analysis showed the molecular mass of fusion apo(a) KIV37 to be 12,260 +/- 1 daltons. Almost all fusion apo(a) KIV37 was expressed as inclusion bodies and had to be refolded. Fusion apo(a) KIV37 was isolated from the inclusion bodies and purified by lysine-Sepharose affinity chromatography by eluting with 0.2 M epsilon-aminocaproic acid. The fusion protein was treated with thrombin to yield a homogeneous, functional apo(a) KIV37 domain composed of 92 amino acids having a molecular mass of 10,510 +/- 1 daltons. N-terminal protein sequencing and amino acid analysis have confirmed the sequence and composition of apo(a) KIV37. The molar extinction coefficient, epsilon, for apo(a) KIV37 was determined to be 3.1 x 10(4) M-1 cm-1, and the pI was measured to be 6.7 +/- 0.1. In addition, the dissociation constants, Kd, for a series of 11 lysine analogs have been determined by measuring the change in intrinsic fluorescence of apo(a) KIV37 upon saturable binding with these compounds. Kd values ranged from 4.2 +/- 0.9 microM for trans-4-(aminomethyl)cyclohexanecarboxylic acid to 4.6 +/- 0.4 mM for L-arginine. Apo(a) KIV37 binds to plasmin-treated fibrinogen with an EC50 value of 14 +/- 1.2 microM and prevents the binding of Lp(a) to plasmin-treated fibrinogen with an IC50 value of 16 +/- 6 microM. Lp(a) binds to the plasmin-treated fibrinogen surface with an EC50 value of approximately 1.0 +/- 0.3 nM. These studies demonstrate that apo(a) KIV37 can be expressed at high levels, refolded properly, and used as a fully functional lysine-binding domain. In addition, these results also demonstrate that apo(a) KIV37 provides the major interaction of Lp(a) with fibrinogen. One additional weak binding site in Lp(a) is adequate to describe overall Lp(a) binding to fibrinogen.

Apolipoproteins A↗

Divergent effects of hemodialysis and continuous ambulatory peritoneal dialysis on cardiac diastolic function.

OBJECTIVE: To investigate the effects of dialysis procedures on cardiac diastolic function. DESIGN: Comparative, nonrandomized matched pair study. SETTING: Nephrology and cardiology departments at a university hospital. PATIENTS: Thirty-four patients on hemodialysis (HD) (n = 17) and continuous ambulatory peritoneal dialysis (CAPD) (n = 17), matched by sex, age, duration of dialysis treatment, and presence/absence of diabetes. MEASUREMENTS: Cardiac function was estimated by means of M-mode, two-dimensional, and spectral Doppler echocardiography, and results were statistically evaluated by means of univariate and multivariate analytical procedures. RESULTS: Although not statistically significant, trends towards differences between the two patient groups were detected for left ventricular mass (p = 0.083) and parameters of diastolic function (p = 0.079). These differences in left ventricular performance and diastolic function between HD and CAPD patients were also evident when calculating Spearman rank correlation coefficients. Left ventricular mass and diastolic function were closely correlated to each other in all dialysis patients. Moreover, by means of a multivariate analytical procedure (Hotelling T-square test), diversities in diastolic function between the two patient groups could be clearly established (p = 0.037), with more impaired diastolic function in HD patients. In addition, cardiac performance was shown to depend to a certain extent on hemoglobin concentration. CONCLUSION: Clear differences in diastolic function and cardiac performance were evident between CAPD and HD patients. From the data of our pilot study, it may be speculated whether decrease of left ventricular mass could be beneficial for the improvement of diastolic function and cardiac hemodynamics in dialysis patients.

Adult↗

Performance analysis of reduced-rank beamformers for estimating dipole source signals using EEG/MEG.

We study the performance of various beamformers for estimating a current dipole source at a known location using electroencephalography (EEG) and magnetoencephalography (MEG). We present our beamformers in the form of the generalized sidelobe canceler (GSC). Under this structure, the beamformer can be solved by finding a filter that achieves the minimum mean-squared error (MMSE) between the mainbeam response and filtered observed signal. We express the MMSE as a function of the filter's rank and use it as a criterion to evaluate the performance of the beamformers. We do not make any assumptions on the rank of the interference-plus-noise covariance matrix. Instead, we treat it as low-rank and derive a general expression for the MMSE. We present numerical examples to compare the MSE performance of beamformers commonly studied in the literature: principal components (PCs), cross-spectral metrics (CSMs), and eigencanceler (EIG) beamformers. Our results show that good estimates of the dipole source signals can be achieved using reduced-rank beamformers even for low signal-to-noise ratio (SNR) values.

Action Potentials↗

Coenzyme A dithioesters: synthesis, characterization and reaction with citrate synthase and acetyl-CoA:choline O-acetyltransferase.

Acyl dithioesters of CoA have been synthesized by transesterification. The alpha-hydrogens have a spectrally determined pKa of 12.5 +/- 0.14. The hydroxide catalyzed enolization rate is estimated to be 600 M-1.s-1. The absorbance of the dithioester, lambda max = 306 nm, can be used to monitor both the condensation and transesterification reactions that use CoA-Ac as a substrate. For citrate synthase at pH 7.4 Vmax = (4.0 +/- 0.4).10(-4) s-1 and Km = 53 +/- 7.5 microM, which are 2.10(-6) and 3.3-times the Vmax and Km values observed for CoAS-Ac, while for Ac-CoA: choline O-acetyltransferase (EC 2.3.1.6) at pH 7.0 Vmax = (1.1 +/- 0.2).10(-2) mumol.s-1.(mg protein)-1 and Km = 83 +/- 33 microM, which are 0.077 and 10-times the values observed with CoAS-Ac, respectively. The CoA dithioesters are stable at low pH, but hydrolyze with a second-order rate constant of 8.2.10(-2) M-1.s-1 at pH 11.4. The spectral properties of these dithioesters should allow these analogs to be used as probes of the structure of enzyme bound intermediates.

Acyl Coenzyme A↗

Speech perception based on spectral peaks versus spectral shape.

This study was designed to measure the relative contributions to speech intelligibility of spectral envelope peaks (including, but not limited to formants) versus the detailed shape of the spectral envelope. The problem was addressed by asking listeners to identify sentences and nonsense syllables that were generated by two structurally identical source-filter synthesizers, one of which constructs the filter function based on the detailed spectral envelope shape while the other constructs the filter function using a purposely coarse estimate that is based entirely on the distribution of peaks in the envelope. Viewed in the broadest terms the results showed that nearly as much speech information is conveyed by the peaks-only method as by the detail-preserving method. Just as clearly, however, every test showed some measurable advantage for spectral detail, although the differences were not large in absolute terms.

Acoustic Stimulation↗

On first rahmonic amplitude in the analysis of synthesized aperiodic voice signals.

Rahmonics comprise the prominent peaks in the cepstrum of voiced speech; their locations correspond to the fundamental period and its multiples. The amplitude of the first rahmonic, R1, has previously been used to indicate voice quality. Although a correspondence between R1 and the richness of the harmonic spectrum for voiced speech is well recognized, a formal description has remained absent. A theoretical description of rahmonic analysis of voiced speech containing aspiration noise is provided, leading to a characterization of R1. The theory suggests that R1 is directly proportional to the geometric mean harmonics-to-noise ratio (gmHNR), where the gmHNR is defined as the mean of the individual spectral (i.e., at specific frequency locations) harmonics-to-noise ratios in dB. This hypothesis is validated using synthetically generated voice signals. R1 is shown to be directly proportional to gmHNR (measured directly from the dB spectrum). It is shown that R1 (estimated from speech) is directly proportional to R1 taken from the glottal signal. R1 and gmHNR (measured spectrally) underestimate the actual gmHNR when (averaged) noise levels exceed harmonic levels. Limiting the number of harmonics in the analysis window overcomes this problem and also alleviates the (temporal) window length/f0 dependence of R1 when estimated period synchronously.

Algorithms↗

A mathematical assessment of the precision of parameters in measuring resonance spectra.

The accurate interpretation of in vivo magnetic resonance spectroscopy (MRS) spectra requires a complete understanding of the associated noise-induced errors. In this paper, we address the effect of complex correlated noise patterns on the measurement of a set of peak parameters. This is examined initially at the level of a single spectral analysis followed by addressing the noise-induced errors associated with determining the signal parameters from the peak parameters. We describe a relatively simple method for calculating these errors for any correlated noise pattern in terms of the noise standard deviation and correlation length. The results are presented in such a way that an estimate of the errors may be made from a single MRS spectrum. We also explore how, under certain circumstances, the lineshape of the signal may be determined. We then apply these results to reexamine a set of in vivo 31P MRS spectra obtained from rat brain prior to and following moderate fluid percussion injury. The approach outlined in this paper will demonstrate how meaningful results may be obtained from spectra where the signal-to-noise ratio (SNR) is quite small and where knowledge of the precise shape of the signal and the detail of the noise pattern is unknown. In essence, we show how to determine the expected errors in the spectral parameters from an estimate of the SNR from a single spectrum, thereby allowing a more discriminative interpretation of the data.

Adenosine Triphosphate↗

Power spectral analysis of heart rate variability by autoregressive modelling and fast Fourier transform: a comparative study.

OBJECTIVE: To compare the results from autoregressive modelling (ARM) and from fast Fourier transform (FFT), the most commonly used methods for the analysis of short-term heart rate variability in the frequency domain. METHODS & RESULTS: RR interval and respiratory activity were recorded in the supine and standing positions under standardized laboratory conditions in a population-based sample of 614 subjects. The low-(LF) and high-frequency (HF) components of heart rate variability were identified by power spectral analysis, by use of FFT, with application of two sets of frequency ranges, and by ARM; LF and HF power were expressed in both normalized (%) and absolute units (ms2). The RR interval, its variance and the HF power decreased from the supine to the standing position (P < 0.001). The LF power increased on standing when expressed in normalized units, but decreased in absolute units, whereas the LF-to-HF ratio increased (P < 0.001). On the low side of the spectrum, FFT slightly overestimated the LF component obtained with ARM, when the predefined frequency range was 0.05-0.15 Hz (P < 0.001); the underestimation of LF in the frequency range 0.07-0.14 Hz was more pronounced, particularly in the erect position (P < 0.001). Both FFT methods overestimated (P < 0.001) the ARM HF component, more so for the 0.15-0.50 Hz range than for the 0.14-0.35 Hz range. Finally, we observed considerable within-subject differences between methods, which were estimated by calculation of the limits of agreement. CONCLUSIONS: Different methods for spectral decomposition of short-term heart rate variability yield similar qualitative results, but the quantitative results differ between ARM and FFT, and within the FFT method according to the selected frequency range.

Adult↗

Building robust wavelet estimators for multicomponent images using Stein's principle.

Multichannel imaging systems provide several observations of the same scene which are often corrupted by noise. In this paper, we are interested in multispectral image denoising in the wavelet domain. We adopt a multivariate statistical approach in order to exploit the correlations existing between the different spectral components. Our main contribution is the application of Stein's principle to build a new estimator for arbitrary multichannel images embedded in additive Gaussian noise. Simulation tests carried out on optical satellite images show that the proposed method outperforms conventional wavelet shrinkage techniques.

Algorithms↗

Protein structural effects of agonist binding to the nicotinic acetylcholine receptor.

The effects on the protein structure produced by binding of cholinergic agonists to purified acetylcholine receptor (AcChR) reconstituted into lipid vesicles, has been studied by Fourier-transform infrared spectroscopy and differential scanning calorimetry. Spectral changes in the conformationally sensitive amide I infrared band indicates that the exposure of the AcChR to the agonist carbamylcholine, under conditions which drive the AcChR into the desensitized state, produces alterations in the protein secondary structure. Quantitative estimation of these agonist-induced alterations by band-fitting analysis of the amide I spectral band reveals no appreciable changes in the percent of alpha-helix, but a decrease in beta-sheet structure, concomitant with an increase in less ordered structures. Additionally, agonist binding results in a concentration-dependent increase in the protein thermal stability, as indicated by the temperature dependence of the protein infrared spectrum and by calorimetric analysis, which further suggest that AcChR desensitization induced by the cholinergic agonist implies significant rearrangements in the protein structure.

Animals↗

[Density estimation based model matching method for redshift determination].

The present paper proposes a model matching method based on density estimation for redshift determination, in whichthe problem of redshift determination is translated into the problem of searching for the point of maximum density within a data set. At first, the mean shift-based method for auto-extraction of spectral lines is used to get feature spectrallines. Secondly, according tothe redshift formula, the authors use the feature wavelength array and the spectral template to get a data set. Finally, the authors findthe point of maximum density within the data set, then the average of the data in epsilon-neighbor of the point is regarded as the redshift estimation. The information of feature wavelength and spectral line type is used in this method so that it can deal with every kind of spectra. Experiments show that our method is stable and the correct identification rate is high.

English Abstract↗

Assessment of ultra low frequency band power of heart rate variability: validation of alternative methods.

UNLABELLED: Alternative methods for assessing ULF spectral power using data from commercial Holter analysers were studied. Different heuristics for ULF calculation were compared with standard research software-based determination of ULF. SETTING: University Hospital. PATIENTS: 43 patients in NYHA classes I-IV heart failure and seven normals of similar ages. METHODS: SDNN, SDANN, ULF, VLF, LF, HF calculated from 24 h Holter monitoring using Oxford scanner software (method 1). ULF power also calculated by subtracting the sum of VLF. LF and HF powers obtained from the Holter scanner from the total variance (method 2) from 2 x ln(SDANN) (method 3), and by performing a standard, research-quality 24-h EFT analysis on the beat files (standard). Results of methods 1-3 were compared with standard using two-way ANOVA with repeated measures, regression analysis and a graphical technique. RESULTS: ULF calculated by method 1 correlated r=0.66 with standard but means differed substantially. In contrast, ULF calculated by method 2 correlated r=0.99 with standard with no significant differences between means. ULF calculated from SDANN (method 3) correlated r=0.983 with standard but means, while similar, were significantly lower (P=0.005). CONCLUSION: ULF reported by commercial HOLTER software is not equivalent to ULF power derived from 24 h FFT analysis. ULF calculated by method 2 can be considered equivalent to the ULF derived by standard 24-h FFT. ULF estimated by method 3 offers direct ULF power estimation from a temporal measure of HRV and can be useful when spectral values are not available.

Electrocardiography, Ambulatory↗

Individual recognition by heart rate variability of two different autonomic profiles related to posture.

BACKGROUND: Power spectrum analysis of heart rate variability (HRV) can estimate the state of sympathovagal balance modulating sinus node activity. In view of the large distribution of spectral variables, a recognition of well-defined physiological conditions has never been attempted on an individual basis. METHODS AND RESULTS: We considered 10 spectral variables extracted from short segments (200 to 500 cardiac cycles) of 350 ECG tracings recorded in normal subjects in both supine and upright positions (700 patterns). The tracings were first ordered consecutively and subsequently assigned alternatively to a training or to a test set (each consisting of 175 cases, providing 350 patterns considered to be independent). A forecasting linear method estimated a normalized activation index (ranging from -1 for supine to +1 for upright) that concentrated the information derived from spectral variables and that identified, in the test set, individual by individual, approximately 84% of corresponding body postures. CONCLUSIONS: The combined use of spectral methodology and forecasting analysis has revealed an information content embedded, per se, in a short series of RR intervals capable of recognizing, individual by individual, two different autonomic profiles related to posture.

Adolescent↗