Search PubMed⌕ Search

Biomedical subjects

Jun Shao

Publications and source records attributed to Jun Shao.

At least 19 recordsLinked to original sources

Stability analysis for drugs with multiple active ingredients.

For every drug product on the market, the United States Food and Drug Administration (FDA) requires that an expiration dating period (shelf-life) must be indicated on the immediate container label. For determination of the expiration dating period of a drug product, regulatory requirements and statistical methodology are provided in the FDA and ICH Guidelines. However, this guideline is developed for drug products with a single active ingredient. There are many drug products consisting of multiple active ingredients, especially for most traditional Chinese medicine. In this article, we propose a statistical method for determining the shelf-life of a drug product with multiple active ingredients following similar idea as suggested by the FDA and assuming that these active ingredients are linear combinations of some factors. Stability data observed from a traditional Chinese medicine were analysed to illustrate the proposed method.

Arthritis, Rheumatoid↗

Oligosaccharides, neoglycoproteins and humanized plastics: their biocatalytic synthesis and possible medical applications.

Glycobiology has become one of the fastest growing branches of the biological sciences. Glycomics, which is the study of an organism's entire array of oligosaccharides, is now emerging as the third informatics wave after genomics and proteomics. For example, it is possible to see this progress in the KEGG (Kyoto Encyclopedia of Genes and Genomes) database (http://www.genome.jp/kegg/pathway/map/map01110.html). The interest in this area stems from the realization that carbohydrates, especially oligosaccharides, and their interactions with proteins, play diverse informative roles in all organisms, and that more than half of all proteins are glycosylated. When the biological and pharmaceutical importance of glycoconjugates is considered, it is surprising how little glycobiotechnology has developed. This review reports the latest developments in the biocatalytic synthesis of oligosaccharides and glycoconjugates, with special attention paid to the glycosyltransferase approach. The second part of the review takes the 'conceptual approach' and covers possible medical applications of synthesized glycoconjugates. Various new examples of the conjugation of glyco-informative saccharide sequence to known pharmaceuticals or biomaterials are cited.

Catalysis↗

Properties of R(2) statistics for logistic regression.

Various R(2) statistics have been proposed for logistic regression to quantify the extent to which the binary response can be predicted by a given logistic regression model and covariates. We study the asymptotic properties of three popular variance-based R(2) statistics. We find that two variance-based R(2) statistics, the sum of squares and the squared Pearson correlation, have identical asymptotic distribution whereas the third one, Gini's concentration measure, has a different asymptotic behaviour and may overstate the predictivity of the model and covariates when the model is mis-specified. Our result not only provides a theoretical basis for the findings in previous empirical and numerical work, but also leads to asymptotic confidence intervals. Statistical variability can then be taken into account when assessing the predictive value of a logistic regression model.

Biometry↗

On non-inferiority margin and statistical tests in active control trials.

The problem of selecting a non-inferiority margin and the corresponding statistical test for non-inferiority in active control trials is considered. For selection of non-inferiority margin, the guideline by the International Conference on Harmonization (ICH) recommends that the non-inferiority margin should be chosen in such a way that if the non-inferiority of the test therapy to the active control agent is claimed, the test therapy is not only non-inferior to the active control agent, but also superior to the placebo. Furthermore, variability should be taken into account. Along this line, a method for selecting non-inferiority margins with some statistical justification is proposed. Statistical tests for non-inferiority designed in the situation where the non-inferiority margin is an unknown parameter are derived. An example concerning a cancer trail for testing non-inferiority with the primary study endpoint of the time to disease progression is presented to illustrate the proposed method.

Antineoplastic Agents↗

Delivery of TEM beta-lactamase by gene-transformed Lactococcus lactis subsp. lactis through cervical cell monolayer.

Lactococcus lactis subsp. lactis transformed with Plasmid ss80 (encoding the production and secretion of TEM beta-lactamase) was used for the delivery of beta-lactamase through the C-33A (cervix cell) monolayer. The viability of the cell monolayers co-cultured with L. lactis was examined by the trypan blue exclusion method. The integrity of the monolayers was monitored by measuring the transport of mannitol and propranolol as well as the transepithelial electrical resistance. The transport rate of beta-lactamase through C-33A monolayer was increased by four- and nine-folds (p < 0.05) at the first hour by the transformed L. lactis compared to the free solution with or without presence of the untransformed L. lactis, respectively. This increase was gradually diminished after the 1st hour: it became 30 and 50% (p < 0.05) at 10 h. The presence of the untransformed L. lactis with free solution delivery also increased the transport rate by 100% at 1 h (p < 0.05) and 15% at 10h (p>0.05). The increase in transport rate by the transformed L. lactis is most probably due to the concentrate of beta-lactamase on C-33A monolayer. When co-cultured with the L. lactis, the C-33A cell viability and the monolayer TEER remained steady for 10 h. The presence of L. lactis did not change the transport of propranolol and mannitol through the monolayers. In conclusion, the transformed L. lactis significantly (p < 0.05) increased the transport of beta-lactamase through the cervical monolayers, indicating probiotic bacteria delivery may be a promising approach for protein delivery through the vagina.

Bacterial Adhesion↗

Polymeric nanoparticulate delivery system for Indocyanine green: biodistribution in healthy mice.

The objective of this study is to investigate the biodistribution of Indocyanine green (ICG) in healthy mice, when delivered through polymeric nanoparticles. The poly(DL-lactic-co-glycolic acid) (PLGA) nanoparticles entrapping ICG were engineered and characterized. The extraction method for ICG recovery from biological samples was developed. The biodistribution of ICG was determined in healthy C57BL/6 mice (female, 10-week old) when delivered through PLGA nanoparticles in comparison to free ICG solution, using a fluorometric assay method. The extraction method for ICG shows efficiency above 80% for various organs and plasma. When nanoparticles were used to deliver ICG, 2-8 times higher concentrations of ICG was deposited in various organs, with 5-10 times higher plasma levels till 4 h, after an i.v. dose as compared to free ICG solution. In conclusion, the nanoparticle formulation significantly increased the ICG concentration and circulation time in plasma as well as the ICG uptake, accumulation and retention in various organs. Overall, this study represents the first step in exploring and establishing the potential of nanoparticles as an ICG-delivery system for use in tumor-diagnosis and photodynamic therapy.

Animals↗

Oral delivery of beta-lactamase by Lactococcus lactis subsp. lactis transformed with Plasmid ss80.

The objective was to use normal flora to deliver protein/peptide drugs orally. A probiotic bacterium, Lactococcus lactis subsp. lactis (L. lactis) transformed with Plasmid ss80, which made it able to synthesize and secrete beta-lactamase, a 29 kDa protein, was used as the delivery system for beta-lactamase. Oral absorption of beta-lactamase in rats when delivered by this L. lactis system was investigated. The oral bioavailability of beta-lactamase delivered by 3x10(7) of the L. lactis was equivalent to 209 mU of i.v. dose, and the estimated relative bioavailability was 16.7%. When delivered by beta-lactamase free solution form, the relative oral bioavailability was 4.7%, which increased to 6.0% when co-administered with 3x10(7) of the untransformed L. lactis. The results demonstrated that the L. lactis significantly increased the beta-lactamase oral bioavailability by 2-3-folds (p<0.01), the mean residence time (MRT) by 3-4 times (p<0.01), and the mean absorption time (MAT) by 6-14 times (p<0.01), as compared to the free solution form with/without the untransformed L. lactis. In conclusion, the L. lactis is more efficient in delivering beta-lactamase orally compared with the free solution form. It also provides a sustained delivery mechanism for beta-lactamase. Gene-transformed normal flora may be used as an efficient and sustained delivery system for protein drugs through oral route.

Administration, Oral↗

On the treatment effect in clinical trials with dropout.

Patient's dropout often occurs in clinical trials with multiple scheduled visits, which results in a great challenge in the analysis of incomplete data. As the first step, one has to define a relevant treatment effect parameter, which is not straightforward in the presence of dropout. We discuss and compare two different treatment effect parameters that are adopted in most analyses of clinical data: the study-end treatment effect and the last-observed treatment effect. Some related issues, such as the estimability of causal parameters, the dependence of study parameters on the dropout patterns, and the use of the last observation carry forward, are also discussed.

Clinical Trials as Topic↗

Statistical inference for cancer trials with treatment switching.

In cancer clinical trials, it is not uncommon that some patients switched their treatments due to lack of efficacy and/or disease progression under ethical consideration. This treatment switch makes it difficult for the evaluation of the efficacy of the treatment under investigation. The current existing methods consider random treatment switch and do not take into consideration of prognosis and/or investigator's assessment that leads to patients' treatment switch. In this paper, we model patients' treatment switching effect in a latent event times model under parametric setting or a latent hazard rate model under the semi-parametric proportional hazard model. Statistical inference procedures under both models are provided. A simulation study is performed to investigate the performance of the proposed methods.

Antineoplastic Agents↗

Escherichia coli O86 O-antigen biosynthetic gene cluster and stepwise enzymatic synthesis of human blood group B antigen tetrasaccharide.

Previous study showed that some Gram-negative bacteria possess human blood group activity. Among them, Escherichia coli O86 has high blood group B activity and weak blood group A activity. This is due to the cell surface O-antigen structure, which resembles that of human blood group B antigen. In this study, we sequenced the entire E. coli O86 antigen gene cluster and identified all the genes responsible for O-antigen biosynthesis by sequence comparative analysis. The blood group B-like antigen in E. coli O86 O-polysaccharide was synthesized by sequentially employing three glycosyltransferases identified in the gene cluster. More importantly, we identified a new bacterial glycosyltransferase (WbnI) equivalent to human blood group transferase B (GTB). The enzyme substrate specificity and stepwise enzymatic synthesis of blood group B-like antigen revealed that the biosynthetic pathway of B antigen is essentially the same in E. coli O86 as in humans. This new finding provides a model to study the specificity and structure relationship of blood group transferases and supports the hypothesis of anti-blood group antibody production by bacterial stimulation.

ABO Blood-Group System↗

Synthesis of complex carbohydrates and glyconjugates: enzymatic synthesis of globotetraose using alpha-1,3-N-acetylgalactosaminyltransferase LgtD from Haemophilus infuenzae strain Rd.

The lipopolysaccharide of capsule-deficient Haemophilus infuenzae strain Rd contains an N-acetylgalactosamine residue attached to the terminal globotriose moiety in the Hex5 glycoform. Genome analysis identified an open reading frame, HI1578, referred to as LgtD, whose amino acid sequence shows a significant level of similarity to those of a number of bacterial glycosyltransferases involved in lipopolysaccharide biosynthesis. To investigate its function, overexpression and biochemical characterization were performed. Most of the protein was obtained in a highly soluble and active form. Standard glycosyltransferase assay, high-performance liquid chromatography (HPLC), and liquid chromatography (LC)/mass spectrometry (MS) show that LgtD is an N-acetylgalactosaminyltransferase with high donor substrate specificity, and globotriose is a highly preferred acceptor substrate for the enzyme.

Amino Acid Sequence↗

Inference for clinical trials with some protocol amendments.

The use of adaptive methods in clinical development has become very popular in recent years due to its flexibility in modifying trial procedures and/or statistical procedures of on-going clinical trials. Modifications to trial procedures are usually documented by protocol amendments. However, the actual patient population after protocol amendments could deviate from the originally targeted patient population. In addition, protocol amendments made based on accrued data of the on-going trial may distort the sampling distribution of the statistic designed for the case of no protocol change. In this article, we model the population deviations due to protocol amendments using some covariates and study how to develop a valid statistical inference procedure. An example concerning an asthma trial is presented for illustration.

Algorithms↗

A longitudinal measurement error model with a semicontinuous covariate.

Covariate measurement error in regression is typically assumed to act in an additive or multiplicative manner on the true covariate value. However, such an assumption does not hold for the measurement error of sleep-disordered breathing (SDB) in the Wisconsin Sleep Cohort Study (WSCS). The true covariate is the severity of SDB, and the observed surrogate is the number of breathing pauses per unit time of sleep, which has a nonnegative semicontinuous distribution with a point mass at zero. We propose a latent variable measurement error model for the error structure in this situation and implement it in a linear mixed model. The estimation procedure is similar to regression calibration but involves a distributional assumption for the latent variable. Modeling and model-fitting strategies are explored and illustrated through an example from the WSCS.

Blood Pressure↗

Molecular analysis of the O-antigen gene cluster of Escherichia coli O86:B7 and characterization of the chain length determinant gene (wzz).

Escherichia coli O86:B7 has long been used as a model bacterial strain to study the generation of natural blood group antibody in humans, and it has been shown to possess high human blood B activity. The O-antigen structure of O86:B7 was solved recently in our laboratory. Comparison with the published structure of O86:H2 showed that both O86 subtypes shared the same O unit, yet each of the O antigens is polymerized from a different terminal sugar in a different glycosidic linkage. To determine the genetic basis for the O-antigen differences between the two O86 strains, we report the complete sequence of O86:B7 O-antigen gene cluster between galF and hisI, each gene was identified based on homology to other genes in the GenBank databases. Comparison of the two O86 O-antigen gene clusters revealed that the encoding regions between galF and gnd are identical, including wzy genes. However, deletion of the two wzy genes revealed that wzy in O86:B7 is responsible for the polymerization of the O antigen, while the deletion of wzy in O86:H2 has no effect on O-antigen biosynthesis. Therefore, we proposed that there must be another functional wzy gene outside the O86:H2 O-antigen gene cluster. Wzz proteins determine the degree of polymerization of the O antigen. When separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis, the lipopolysaccharide (LPS) of O86:B7 exhibited a modal distribution of LPS bands with relatively short O units attached to lipid A-core, which differs from the LPS pattern of O86:H2. We proved that the wzz genes are responsible for the different LPS patterns found in the two O86 subtypes, and we also showed that the very short type of LPS is responsible for the serum sensitivity of the O86:B7 strain.

Carbohydrate Sequence↗

Normal flora: living vehicles for non-invasive protein drug delivery.

Feasibility to use probiotic bacteria as a living protein delivery system through oral route was assessed in vitro. Lactococcus lactis transformed with a plasmid to express and secret beta-lactamase was used to deliver beta-lactamase through Caco-2 monolayer, an intestine epithelium. Transport of beta-lactamase through Caco-2 monolayer was carried out in the transwells. The viability and integrity of the cell monolayers co-cultured with L. lactis was examined by trypan blue exclusion method and by measuring the transport of mannitol and propranolol as well as the transepithelial electrical resistance (TEER). Results show that it is feasible to use cell culture technique to evaluate the drug delivery by normal flora. The transport rate of beta-lactamase when delivered by L. lactis was 2.0 +/- 0.1 x 10(-2)h(-1) (n = 9) and through free solution form was 1.0 +/- 0.1 x 10(-2)h-1. When co-cultured with L. lactis, Caco-2 cell viability decreased to 98, 96, and 94% at 6, 8, and 10h, respectively. Transport of mannitol through Caco-2 cell monolayer was significantly increased and the transport of propranolol through Caco-2 cell monolayer was significantly decreased in the presence of L. lactis. Increase in the amount of protein delivered is probably due to the concentrate of the protein by L. lactis on the monolayer (absorption surface) and the opening of the tight junction of Caco-2 monolayer by L. lactis.

Administration, Oral↗

A measurement error model with a Poisson distributed surrogate.

We study a linear model in which one of the covariates is measured with error. The surrogate for this covariate is the event count in unit time. We model the event count by a Poisson distribution, the rate of which is the unobserved true covariate. We show that ignoring the measurement error leads to inconsistent estimators of the regression coefficients and propose a set of unbiased estimating equations to correct the bias. The method is computationally simple and does not require using supplemental data as is often the case in other measurement error analyses. No distributional assumption is made for the unobserved covariate. The proposed method is illustrated with an example from the Wisconsin Sleep Cohort Study.

Bias↗

Indocyanine green-loaded biodegradable nanoparticles: preparation, physicochemical characterization and in vitro release.

PURPOSE: The objective of this study is to develop indocyanine green (ICG)-loaded biodegradable nanoparticles by using biodegradable polymer, poly(DL-lactic-co-glycolic acid) (PLGA). METHOD: PLGA nanoparticles entrapping ICG were prepared by a modified spontaneous emulsification solvent diffusion method. To optimize the nanoparticle formulation, the influence of formulation parameters such as types of ICG, amount of ICG and the polymer were investigated. The ICG entrapment in nanoparticles, nanoparticle size and zeta potential were determined. The surface characterization was performed by atomic force microscopy (AFM) and the release of ICG from nanoparticles was determined. RESULTS: All PLGA nanoparticle formulations were found to have the mean diameter within the range of 300-410 nm with polydispersity index (PI) within the range of 0.01-0.06. Indocyanine green showed more efficient entrapment as compared to indocyanine green sodium iodide salt. All indocyanine green-loaded nanoparticle formulations were found to have almost similar ICG content of nanoparticles and showed increase in ICG entrapment with increase in the amount of polymer. The ICG entrapment reached 74% when ICG: PLGA weight ratio in the formulation reached 1:800. AFM images indicated that the nanoparticles were almost spherical in shape and had numerous pores on their surfaces. The release pattern consisted of two phases, with initial exponential phase releasing about 78% of ICG (within 8 h) followed by a slow phase releasing about 2% of ICG (within next 16 h). CONCLUSIONS: ICG-loaded PLGA nanoparticles were prepared and the formulation was optimized. The increase in amount of polymer in formulation leads to higher ICG entrapment. Nanoparticles formed were spherical and had porous surfaces and exhibited the characteristic release pattern of a monolithic matrix based system.

Biodegradation, Environmental↗

Analysis of clinical data with breached blindness.

In clinical trials, blinding is usually employed to prevent bias that may be introduced due to the knowledge of the identity of the treatment codes. This bias could alter the conclusion of statistical inference on the treatment effect. The purpose of this article is to propose a method for analysing clinical data with breached blindness. The example regarding the study of the effectiveness of an appetite suppressant in weight loss in obese woman as described in Brownell and Stunkard (Am. J. Psychiatry 1982; 139:1487-1489) is used to illustrate the application of the proposed methods.

Analysis of Variance↗