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Biomedical subjects

J Alford

Publications and source records attributed to J Alford.

14 recordsLinked to original sources

Mining of biological data I: identifying discriminating features via mean hypothesis testing.

Large volumes of data are routinely collected during bioprocess operations and, more recently, in basic biological research using genomics-based technologies. While these data often lack sufficient detail to be used for mechanism identification, it is possible that the underlying mechanisms affecting cell phenotype or process outcome are reflected as specific patterns in the overall or temporal sensor logs. This raises the possibility of identifying outcome-specific fingerprints that can be used for process or phenotype classification and the identification of discriminating characteristics, such as specific genes or process variables. The aim of this work is to provide a systematic approach to identifying and modeling patterns in historical records and using this information for process classification. This approach differs from others in that emphasis is placed on analyzing the data structure first and thereby extracting potentially relevant features prior to model creation. The initial step in this overall approach is to first identify the discriminating features of the relevant measurements and time windows, which can then be subsequently used to discriminate among different classes of process behavior. This is achieved via a mean hypothesis testing algorithm. Next, the homogeneity of the multivariate data in each class is explored via a novel cluster analysis technique called PC1 Time Series Clustering to ensure that the data subsets used accurately reflect the variability displayed in the historical records. This will be the topic of the second paper in this series. We present here the method for identifying discriminating features in data via mean hypothesis testing along with results from the analysis of case studies from industrial fermentations

Algorithms↗

Mining of biological data II: assessing data structure and class homogeneity by cluster analysis.

An important step in data analysis is class assignment which is usually done on the basis of a macroscopic phenotypic or bioprocess characteristic, such as high vs low growth, healthy vs diseased state, or high vs. low productivity. Unfortunately, such an assignment may lump together samples, which when derived from a more detailed phenotypic or bioprocess description are dissimilar, giving rise to models of lower quality and predictive power. In this paper we present a clustering algorithm for data preprocessing which involves the identification of fundamentally similar lots on the basis of the extent of similarity among the system variables. The algorithm combines aspects of cluster analysis and principal component analysis by applying agglomerative clustering methods to the first principal component of the system data matrix. As part of a rational strategy for developing empirical models, this technique selects lots (samples) which are most appropriate for inclusion in a training set by analyzing multivariate data homogeneity. Samples with similar data structures are identified and grouped together into distinct clusters. This knowledge is used in the formation of potential training sets. Additionally, this technique can identify atypical lots, i.e., samples that are not simply outliers but exhibit the general properties of one class but have been given the assignment of the other. The method is presented along with examples from its application to fermentation data sets.

Algorithms↗

Insulin secretion in growth hormone-deficient adults: effects of 24 months' therapy and five days' acute withdrawal of recombinant human growth hormone.

Beta-cell function in growth hormone (GH)-deficient (GHD) adults is poorly documented. Beta-cell function was therefore studied in 10 GHD adults (age, 40+/-3 years; weight, 79.3+/-4.8 kg; body mass index [BMI], 27.5+/-1.3 kg x m(-2)) before and after 6- and 24-month recombinant human GH (rhGH) therapy (0.24 IU x kg(-1) x wk(-1)) compared with 10 age-, sex-, weight-, and BMI-matched control subjects. With rhGH therapy, fat-free mass (FFM) increased (48.2+/-4.9, 52.5+/-4.8, and 59+/-6.8 kg, respectively) and fat mass (FM) decreased (33.8%+/-2.8%, 28.0%+/-3.0%, and 29.4%+/-2.5%, respectively), as did serum cholesterol. Oral glucose tolerance initially deteriorated at 6 months, but improved toward the control value by 24 months. Fasting insulin (FI) increased significantly, as did the acute insulin response to oral glucose (deltaAIR(OGTT)/deltaG) at 30 minutes (FI: pretreatment 9.8+/-0.8, 6 months, 14.0+/-1.8, 24 months 12.5+/-1.6 v control 11.4+/-1.9 mU x L(-1); deltaAIR(OGTT)/deltaG: pretreatment 201+/-24, 6 months 356+/-41, 24 months 382+/-86 v control 280+/-47 mU x mmol(-1)). However, the acute insulin response to intravenous (IV) glucose (AIR(G)) and IV glucagon at euglycemia and hyperglycemia did not change with rhGH therapy and were similar to the control group values. Importantly, the expected reciprocal relationships (as observed for the control group) between the various insulin secretory parameters and insulin sensitivity (SI) either were not present or were statistically weak in GHD subjects, despite the 35% decrease in SI by 24 months of rhGH therapy. In particular, over time, there was an attenuation of insulin secretion with respect to the ongoing insulin resistance with rhGH therapy, particularly for AIR(G) at 24 months. After 5 days of rhGH withdrawal, insulin secretion decreased and SI improved in GHD subjects. It is concluded that the current long-term rhGH treatment regimens appear to impact on insulin secretion such that the normal relationships between insulin secretion and SI are altered despite the favorable impact on body composition and serum lipid profiles.

Adult↗

Third-party HMO's.

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Health Maintenance Organizations↗

Isolation and structure determination of sulfonoquinovosyl dipalmitoyl glyceride, a P-selectin receptor inhibitor from the alga Dictyochloris fragrans.

Bioassay-guided fractionation of the marine alga Dictyochloris fragrans led to the isolation and identification of sulfonoquinovosyl dipalmitoyl glyceride (1). The structure of 1 was determined by a combination of spectroscopic methods. On the basis of P-selectin inhibition assays (i.e., P-selectin-IgG ELISA, cell binding assay of receptor globulin, and platelet:HL60 adhesion, it was demonstrated that 1 selectively blocks the P-selectin-ligand interaction in vitro and could be considered a lead compound for synthetic modification in order to design more potent inhibitors of cell adhesion processes that play important roles in development of inflammatory-mediated disease states.

Cell Adhesion↗

BMS-190394, a selectin inhibitor, prevents rat cutaneous inflammatory reactions.

Selectin binding is the first step in extravasation of leukocytes through the endothelium. Infiltration of leukocytes is a hallmark of an inflammatory response. Blockade of selectin-dependent adhesion, therefore, represents a specific mechanism-based anti-inflammatory strategy. We have used the natural product sulfatide, one of the selectin ligands, as a template to design a novel selectin antagonist. BMS-190394, a structural analog of sulfatide, is an inhibitor of cell binding to P-, E- and L-selectin-Ig fusion proteins. BMS-190394 also inhibits binding mediated by native P-selectin expressed on the surface of activated platelets. Pharmacokinetic analysis of BMS-190394 showed that the compound remained in circulation with a T1/2 of 7 hr, long enough to inhibit the development of an acute inflammatory response. The in vitro activity and pharmacokinetic profile of this selectin-blocking compound led to the determination of its in vivo anti-inflammatory activity. BMS-190394 was a potent inhibitor of the dermal immune complex-induced reverse passive Arthus reaction in rats when delivered by the i.v. or i.p. route. The ED50 of the compound in the reverse passive Arthus reaction compares favorably to that for dexamethasone. BMS-190394 was also an effective inhibitor of the delayed-type hypersensitivity reaction in the rat. Compared with previous reports of the use of antibodies and complex oligosaccharides to inhibit the activity of the selectins, this low-molecular-weight inhibitor of the selectins presents a novel class of anti-inflammatory agents.

Animals↗

Awareness of illness in schizophrenia and outpatient treatment adherence.

We present a brief measure of awareness of illness in schizophrenia and test whether awareness is related to perceived need for and adherence to outpatient psychiatric treatment. A prospective design assessed treatment adherence, awareness of the signs and symptoms of schizophrenia, symptoms, neurocognitive status, and substance abuse at baseline and 6-month follow-up in 89 persons with schizophrenia. Results indicate that persons with greater awareness perceived greater need for outpatient treatment and evidenced better adherence to outpatient treatment when adherence and awareness were measured concurrently. Awareness was not related to adherence at 6-month follow-up. In addition, neurocognitive impairment was associated with lower overall adherence to treatment when reported by collaterals at baseline and 6-month follow-up. Neurocognitive impairment was, however, associated with higher self-reported adherence to medication, which suggests that neurocognitive status may bias adherence reporting in persons with schizophrenia.

Adolescent↗

Phorbol ester-induced upregulation of polymorphonuclear leukocyte P-selectin ligand expression.

Proinflammatory stimuli cause the vascular endothelium to express P-selectin that tethers leukocytes by binding surface glycoprotein carbohydrate. While the activation of polymorphonuclear leukocytes (PMN) is associated with upregulation of the beta 2-integrins, there is little known about the regulated expression of the ligand for the endothelial P-selectin. We have used a soluble chimeric P-selectin protein as a probe for the expression of ligand on the surface of the PMN. Treatment with phorbol ester for more than 20 min stimulated P-selectin ligand expression. The upregulation of beta 2-integrin expression was affected in a similar manner. The mechanism of selectin ligand upregulation did not involve de novo protein synthesis, and may involve translocation of membranes containing performed intracellular ligand. C5a, which is generated in response to complement activation in vivo, also stimulated selectin ligand upregulation. Degranulation induced by nigericin increased ligand expression, and TNF-alpha treatment resulted in a modest upregulation.

Cells, Cultured↗

PMN binding to P-selectin is inhibited by sulfatide.

The endothelial adhesion protein P-selectin binds to a ligand present on the surface of leukocytes. We have characterized the binding interaction between P-selectin and polymorphonuclear leukocytes (PMNs) in an in vitro assay. These studies have utilized a soluble chimeric protein termed receptor globulin (Rg), which consists of the lectin-EGF-CR-CR extracellular domains of P-selectin fused to a human immunoglobulin G Fc domain. The PMNs bound to immobilized Rg in a saturable and concentration-dependent manner. The binding was specific for the Rg, as preincubation of the cells with soluble Rg inhibited binding to immobilized Rg, and binding was dependent on the presence of free divalent cations. The PMNs expressed a ligand for both P-selectin and E-selectin but not for L-selectin. Previously it was shown that sulfatide is a ligand for P-selectin binding in transformed cells. We have demonstrated that the presence of sulfatide in the P-selectin-PMN adhesion assay inhibits binding in a dose-dependent manner.

Antigens, CD↗

Outpatient stabilization programme--an innovative approach in the management of diabetes.

An outpatient stabilization programme for diabetic patients was established to overcome the disadvantages of inpatient treatment. The day to day management of patients was carried out by experienced nurse/educators under the supervision of physicians. The telephone was used extensively for communication between the patients and staff of the Diabetes Centre. In a 12 month period, 73 patients were commenced on insulin and 83 patients (62 on insulin) had their diabetic control re-stabilized. In both groups of patients there was a significant fall in glycosylated haemoglobin levels indicating improved metabolic control. Results were similar to those for patients admitted to hospital for stabilization. There are important social and economic benefits from the avoidance of repeated hospitalization.

Academic Medical Centers↗

Conotoxin GI: disulfide bridges, synthesis, and preparation of iodinated derivatives.

The 13 amino acid toxic peptide from the marine snail Conus geographus, conotoxin GI, blocks the acetylcholine receptor at the neuromuscular junction. In this report, we describe a method for analyzing disulfide bonding in nanomole amounts of small cystine-rich peptides. The procedure involves partial reduction and a double-label alkylation of cysteine residues. Using this method, we show that the natural conotoxin GI has a (2-7, 3-13) disulfide configuration. The structure of conotoxin GI has been confirmed by chemical synthesis. The preparation and purification of molecularly homogeneous, iodinated derivatives of this toxin are also described. All derivatives, including the [diiodohistidine,diiodotyrosine]conotoxin GI, retained at least half of the biological activity of unmodified toxin. Since the tetraiodinated toxin, which is greater than 25% by weight iodine, retains considerable toxicity, unmodified histidine and tyrosine residues in conotoxin GI are not crucial for biological activity.

Amino Acid Sequence↗