Methodological considerations in rat brain BOLD contrast pharmacological MRI

RATIONALE AND OBJECTIVES

Blood oxygen level dependent (BOLD) contrast pharmacological magnetic resonance imaging (phMRI) is an increasingly popular technique that allows the non-invasive investigation of spatial and temporal changes in rat brain function in response to pharmacological stimulation in vivo. Rat brain BOLD contrast phMRI is, at present, established in few neuropharmacological laboratories, and various issues associated with the technique require attention. The present review is primarily aimed at psychopharmacologists with no previous experience of phMRI, who are interested in the practical aspects that phMRI studies entail.

RESULTS AND DISCUSSION

Experimental and analytical considerations, including anaesthesia, physiological monitoring, drug dose and delivery, scanning protocols, statistical approaches and the interpretation of phMRI data, are discussed.

DNA sequence and analysis of human chromosome 9

Chromosome 9 is highly structurally polymorphic. It contains the largest autosomal block of heterochromatin, which is heteromorphic in 6-8% of humans, whereas pericentric inversions occur in more than 1% of the population. The finished euchromatic sequence of chromosome 9 comprises 109,044,351 base pairs and represents >99.6% of the region. Analysis of the sequence reveals many intra- and interchromosomal duplications, including segmental duplications adjacent to both the centromere and the large heterochromatic block. We have annotated 1,149 genes, including genes implicated in male-to-female sex reversal, cancer and neurodegenerative disease, and 426 pseudogenes. The chromosome contains the largest interferon gene cluster in the human genome. There is also a region of exceptionally high gene and G + C content including genes paralogous to those in the major histocompatibility complex. We have also detected recently duplicated genes that exhibit different rates of sequence divergence, presumably reflecting natural selection.

The DNA sequence and comparative analysis of human chromosome 10

The finished sequence of human chromosome 10 comprises a total of 131,666,441 base pairs. It represents 99.4% of the euchromatic DNA and includes one megabase of heterochromatic sequence within the pericentromeric region of the short and long arm of the chromosome. Sequence annotation revealed 1,357 genes, of which 816 are protein coding, and 430 are pseudogenes. We observed widespread occurrence of overlapping coding genes (either strand) and identified 67 antisense transcripts. Our analysis suggests that both inter- and intrachromosomal segmental duplications have impacted on the gene count on chromosome 10. Multispecies comparative analysis indicated that we can readily annotate the protein-coding genes with current resources. We estimate that over 95% of all coding exons were identified in this study. Assessment of single base changes between the human chromosome 10 and chimpanzee sequence revealed nonsense mutations in only 21 coding genes with respect to the human sequence.

The DNA sequence and analysis of human chromosome 13

Chromosome 13 is the largest acrocentric human chromosome. It carries genes involved in cancer including the breast cancer type 2 (BRCA2) and retinoblastoma (RB1) genes, is frequently rearranged in B-cell chronic lymphocytic leukaemia, and contains the DAOA locus associated with bipolar disorder and schizophrenia. We describe completion and analysis of 95.5 megabases (Mb) of sequence from chromosome 13, which contains 633 genes and 296 pseudogenes. We estimate that more than 95.4% of the protein-coding genes of this chromosome have been identified, on the basis of comparison with other vertebrate genome sequences. Additionally, 105 putative non-coding RNA genes were found. Chromosome 13 has one of the lowest gene densities (6.5 genes per Mb) among human chromosomes, and contains a central region of 38 Mb where the gene density drops to only 3.1 genes per Mb.

The DNA sequence and analysis of human chromosome 6

Chromosome 6 is a metacentric chromosome that constitutes about 6% of the human genome. The finished sequence comprises 166,880,988 base pairs, representing the largest chromosome sequenced so far. The entire sequence has been subjected to high-quality manual annotation, resulting in the evidence-supported identification of 1,557 genes and 633 pseudogenes. Here we report that at least 96% of the protein-coding genes have been identified, as assessed by multi-species comparative sequence analysis, and provide evidence for the presence of further, otherwise unsupported exons/genes. Among these are genes directly implicated in cancer, schizophrenia, autoimmunity and many other diseases. Chromosome 6 harbours the largest transfer RNA gene cluster in the genome; we show that this cluster co-localizes with a region of high transcriptional activity. Within the essential immune loci of the major histocompatibility complex, we find HLA-B to be the most polymorphic gene on chromosome 6 and in the human genome.

The DNA sequence and comparative analysis of human chromosome 20

The finished sequence of human chromosome 20 comprises 59,187,298 base pairs (bp) and represents 99.4% of the euchromatic DNA. A single contig of 26 megabases (Mb) spans the entire short arm, and five contigs separated by gaps totalling 320 kb span the long arm of this metacentric chromosome. An additional 234,339 bp of sequence has been determined within the pericentromeric region of the long arm. We annotated 727 genes and 168 pseudogenes in the sequence. About 64% of these genes have a 5' and a 3' untranslated region and a complete open reading frame. Comparative analysis of the sequence of chromosome 20 to whole-genome shotgun-sequence data of two other vertebrates, the mouse Mus musculus and the puffer fish Tetraodon nigroviridis, provides an independent measure of the efficiency of gene annotation, and indicates that this analysis may account for more than 95% of all coding exons and almost all genes.

An SNP map of human chromosome 22

The human genome sequence will provide a reference for measuring DNA sequence variation in human populations. Sequence variants are responsible for the genetic component of individuality, including complex characteristics such as disease susceptibility and drug response. Most sequence variants are single nucleotide polymorphisms (SNPs), where two alternate bases occur at one position. Comparison of any two genomes reveals around 1 SNP per kilobase. A sufficiently dense map of SNPs would allow the detection of sequence variants responsible for particular characteristics on the basis that they are associated with a specific SNP allele. Here we have evaluated large-scale sequencing approaches to obtaining SNPs, and have constructed a map of 2,730 SNPs on human chromosome 22. Most of the SNPs are within 25 kilobases of a transcribed exon, and are valuable for association studies. We have scaled up the process, detecting over 65,000 SNPs in the genome as part of The SNP Consortium programme, which is on target to build a map of 1 SNP every 5 kilobases that is integrated with the human genome sequence and that is freely available in the public domain.

Measuring total body water in peritoneal dialysis patients using an ethanol dilution technique

Measuring total body water in peritoneal dialysis patients using an ethanol dilution technique.

BACKGROUND

The accuracy with which total body water (TBW) is estimated is a direct determinant of the reliability of Kt/V urea measurements in peritoneal dialysis (PD) patients. Ethanol dilution has been previously shown to be a reliable measure of TBW. Advances in breath alcohol technology make this a feasible clinical tool.

METHODS

We gave 19 fasting chronic PD patients 0.3 g/kg of ethanol (EtOH) orally on two separate occasions. Breath alcohol concentrations (BrACs), determined by dual-beam infrared analysis, were recorded at baseline and periodically thereafter until BrACs were less than 0.01%. The TBW was then determined by standard pharmacokinetic techniques.

RESULTS

TBW measurements were reproducible, with a mean between-run difference of -0.004 liter/kg (95% limits of agreement -0.040 to 0. 032 by Bland-Altman). The Watson equations tended to underestimate TBW, with a mean difference (EtOH - Watson) of +3.0 liters (SD 4.0 liters, P = 0.004) and a mean absolute difference of 4.1 liters (SD 2.7 liters, range -4.4 to 9.5 liters). Kt/V was calculated from dialysate and urine collection, using V as determined from TBW estimates from EtOH and Watson. The mean Kt/V(EtOH) was 2.31 (SD 0. 50) compared with 2.46 (SD 0.52) using Watson. The mean absolute difference between the two Kt/V estimates was 0.26 (SD 0.20, range -0.87 to 0.57), with Kt/V overestimated by Watson in 14 patients. EtOH was well tolerated, and the procedure was completed in about four hours.

CONCLUSIONS

Measuring V by the BrAC technique does not require blood sampling, is reliable, and is reproducible. It is a potentially useful method for a periodic determination of volume that may allow for more accurate Kt/V measurement in PD patients.

Pharmacokinetics of intraperitoneal fluconazole during continuous cycling peritoneal dialysis

OBJECTIVE

To investigate the pharmacokinetic characteristics of intraperitoneal fluconazole in patients undergoing continuous cycling peritoneal dialysis (CCPD).

DESIGN

Prospective, nonrandomized, single-dose, open-label study.

PARTICIPANTS

Five noninfected volunteer CCPD patients.

INTERVENTIONS

Patients received a single dose of intraperitoneal fluconazole 200 mg during their long daytime dwell. Blood samples were collected before and 1, 3, 6, 12 (end of first dwell), 24 (after overnight cycling), 48, 72, 96, and 120 hours after dosing. Used dialysate was collected throughout the study. Unless the patient was anuric, urine was collected for the first 48 hours.

MAIN OUTCOME MEASURE

Fluconazole concentrations were assayed by gas-liquid chromatography. Pharmacokinetic parameters were calculated using standard noncompartmental techniques.

RESULTS

The bioavailability of intraperitoneal fluconazole was 96% +/- 2% over a 12-hour dwell, absorption half-life was 2.5 +/- 1.2 hours, serum elimination half-life was 71.65 +/- 12.76 hours, and volume of distribution was 0.66 +/- 0.13 L/kg. Peritoneal clearance was 5.96 +/- 0.93 mL/min and proportional to total dialysate volume. Renal clearance was proportional to renal creatinine clearance.

CONCLUSIONS

Current treatment guidelines for fungal peritonitis suggest fluconazole 200 mg intraperitoneally every 24 hours. Our data suggest that this dose, administered every 48 hours, is more than sufficient to maintain serum and peritoneal concentrations above the minimum inhibitory concentration for most Candida spp. Other factors, such as residual renal function and dialysis prescription, may also need to be considered.

Pharmacokinetics of vancomycin when administered during high flux hemodialysis

This study was undertaken to evaluate the pharmacokinetics of relatively high-dose vancomycin when administered during high-flux hemodialysis using a polysulfone membrane (F-80, Fresenius). Five noninfected, anuric patients received a single dose of 25 mg/kg of vancomycin infused during hemodialysis at a rate of one gram per hour and timed such that the end of the infusion coincided with the end of dialysis. Blood samples were drawn during the infusion, up to six hours after the end of dialysis and then prior to the next three dialysis treatments. Spent dialysate was collected during the infusion. Samples were analyzed using the EMIT assay. The percent of vancomycin lost during the first dialysis session ranged from 39.1 to 55.1% (mean, 45.7+/-6.4). The concentration of vancomycin at 6 hours after hemodialysis ranged from 18.2 to 45.1 mg/L (mean, 29.6+/-10.0 mg/l). Dialysis clearance ranged from 96.1 to 158.1 ml/min (mean, 130.7 +/-30.0 ml/min). One week after dosing, serum concentrations ranged from 8.14 mg/l to 10.1 mg/l (mean, 9.0+/-1.0 mg/l). This study suggests than an initial dose of 25 mg/kg of vancomycin, given during high-flux dialysis, may provide adequate serum concentrations in anuric hemodialysis patients for up to seven days. This dosing scheme reduces inconvenience to the patient and staff, and potentially can reduce nursing costs associated with post-dialysis administration; its cost is minimal. At this point, subsequent dosing is best determined by therapeutic drug monitoring.

Validation of a revised slow-stop flow recirculation method

Slow flow/stop flow methods have replaced the three needle technique as methods of choice for measuring recirculation. However, the time delay after reducing blood flow may affect the BUN in the systemic (slow flow/stop flow arterial line) sample and therefore limit the accuracy of this methodology. It has been observed that recirculation does not occur in a properly cannulated access unless the access blood flow rate is less than the dialyzer blood flow rate (BFR). This suggests that the systemic sample could be obtained at a higher than usual blood pump rate. We studied 50 patients and compared a revised slow-stop flow (S/SF) recirculation technique in which the systemic sample was drawn after the blood pump rate was reduced to 120 ml/min for 10 seconds and then stopped, to a non-urea based method that utilized indicator velocity dilution (IVDM). Seven patients were found to have recirculation by IVDM; all had recirculation by S/SF of more than 10% (minimum 16.7%) and an access BFR that was less than the dialyzer BFR. In the 43 patients without recirculation by IVDM, the mean recirculation by S/SF was 1.9 +/- 3.2% (mean +/- SD). Five patients without recirculation by IVDM had more than 5% recirculation by S/SF (range, 5.9 to 8.3%). Although there was a small systematic tendency to overestimate recirculation, this modified urea based method was still able to detect recirculation with good reliability. Single values above 10% are highly likely to indicate the presence of true recirculation. Repeated values over 5%, are also likely to be significant, indicating the presence of true recirculation and its clinical correlate, marginal access blood flow.

A comparative study of seven measures of patient satisfaction

The acceptability of satisfaction as a quality indicator is qualified by several well known measurement problems. This study examines the variability in satisfaction evaluations related to different measurement methods and the effect of response biases on reported satisfaction. Satisfaction evaluations using seven different, commonly used measures of patient satisfaction were obtained from the same sample of respondents. The seven measures were: 1) a global measure of satisfaction using a visual analogue scale; 2) a multidimensional measure of satisfaction based on the Patient Satisfaction Questionnaire using an evaluation response format (poor, fair, good, very good, excellent); 3) a two-item overall evaluation of quality using the evaluation response format; 4) a six-item attitude measure of general satisfaction using a five-point Likert agree-disagree response format; 5) a four-item attitude measure of satisfaction with physician, using the agree-disagree response format; 6) a four-item measure of behavioral intention; and 7) willingness-to-pay in dollars. The percentage of favorable evaluations of care ranged from 63% to 82% across six of the seven measures. Willingness-to-pay does not appear to be a valid measure of satisfaction. Correlations were highest between measures with similar response formats. Although an oppositional response bias was not found, a very substantial acquiescent response bias was detected. Acquiescence reduced the internal consistency of three multiple-item measures, the general and physician attitude and behavioral intention measures, to levels unacceptable even for group comparisons. Between highly and nonacquiescent respondents, levels of satisfaction were somewhat lower for the multidimensional measure of satisfaction and significantly lower for the two attitude satisfaction measures. Highly acquiescent respondents were older, less well educated, and in poorer health than nonacquiescent subjects. Results of satisfaction evaluations dependent on the measurement method used, and unreliability of measurement may be a significant problem in satisfaction measurement, especially for the oldest and most ill patients.

The importance of patient preferences in the measurement of health care satisfaction

The idea that patients will be more satisfied with health care services that are delivered to meet their preferences is central to the concept of health care marketing. Health care providers increasingly use market segmentation and target marketing to optimize the fit between their services and the consumers who receive them. This study evaluates one model for incorporation of patient preferences into the measurement of satisfaction. Using multiple regression analysis, evaluations of three dimensions of health care satisfaction, interpersonal care, technical quality, access to care accounted for 63% of the variance in overall satisfaction. Inclusion of preferences, defined as importance ranks of each dimension, did not improve ability to predict satisfaction. Four preference segments were identified: interpersonal care seekers, access/quality seekers, access seekers and quality seekers. These four subgroups differed significantly on a number of sociodemographic, health status and health service use characteristics but no significant differences were found in satisfaction between preference segments. Patient satisfaction can best be measured as quality evaluations of dimensions without regard to preferences. In considering the merits of market segmentation and target marketing, alternative satisfaction models that link preferences to health care satisfaction or the possibility that preference targeting does not lead to greater satisfaction should be evaluated.