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Biomedical subjects

Ming D Li

Publications and source records attributed to Ming D Li.

7 recordsLinked to original sources

A meta-analysis of estimated genetic and environmental effects on smoking behavior in male and female adult twins.

BACKGROUND: Numerous twin studies on smoking behavior have shown that genetic and environmental factors play significant and approximately equal roles in the determination of smoking initiation (SI) and smoking persistence (SP). However, estimates of heritability (h2), shared (c2) and unique environmental effects (e2) from the literature display considerable variability for SI and SP, due most probably to differences in statistical analysis models, age, gender, sample size, origin of cohorts and measurement of smoking behavior. METHODS: A systematic literature search identified six studies for SI and 10 studies for SP. Data from these studies were obtained and re-analysed by meta-analytical techniques. RESULTS: For SI, our results indicate that the parameters h2, c2 and e2 are (mean +/- SEM): 0.37 +/- 0.04, 0.49 +/- 0.04 and 0.17 +/- 0.03 in male adults, and 0.55 +/- 0.04, 0.24 +/- 0.06 and 0.16 +/- 0.01 in female adults, respectively. These values were weighted by a combination of original estimates of variance from studies reporting variances plus estimated variances from studies where variances were not reported (called the combined variance method). Using the same approach for SP, we found that the parameters h2, c2 and e2 weighted by the combined variance method for the phenotype are (mean +/- SEM): 0.59 +/- 0.02, 0.08 +/- 0.04 and 0.37 +/- 0.03 in male adults, and 0.46 +/- 0.12, 0.28 +/- 0.08 and 0.24 +/- 0.07 in female adults, respectively. CONCLUSIONS: Our results indicate that genetic factors play a more significant role for SI but a less significant role for SP in female adults compared to male adults. Significant gender difference was also detected in shared environmental factors for SI and SP. However, no significant gender difference was detected for e2 for either phenotype. These findings suggest that genetic and environmental factors may contribute differently to the determination of smoking initiation and persistence in male and female smokers.

Adult↗

Nonparametric disequilibrium mapping of functional sites using haplotypes of multiple tightly linked single-nucleotide polymorphism markers.

As the speed and efficiency of genotyping single-nucleotide polymorphisms (SNPs) increase, using the SNP map, it becomes possible to evaluate the extent to which a common haplotype contributes to the risk of disease. In this study we propose a new procedure for mapping functional sites or regions of a candidate gene of interest using multiple linked SNPs. Based on a case-parent trio family design, we use expectation-maximization (EM) algorithm-derived haplotype frequency estimates of multiple tightly linked SNPs from both unambiguous and ambiguous families to construct a contingency statistic S for linkage disequilibrium (LD) analysis. In the procedure, a moving-window scan for functional SNP sites or regions can cover an unlimited number of loci except for the limitation of computer storage. Within a window, all possible widths of haplotypes are utilized to find the maximum statistic S* for each site (or locus). Furthermore, this method can be applied to regional or genome-wide scanning for determining linkage disequilibrium using SNPs. The sensitivity of the proposed procedure was examined on the simulated data set from the Genetic Analysis Workshop (GAW) 12. Compared with the conventional and generalized TDT methods, our procedure is more flexible and powerful.

Algorithms↗

Nicotine, body weight and potential implications in the treatment of obesity.

Obesity is an epidemic problem in the U. S. and many other industrialized nations. Historically, the drugs used for the treatment of obesity generally targeted small molecule neurotransmitters. As research grows to decipher the underlying molecular mechanisms behind energy homeostasis, it is becoming evident that the modulating effects of neuropeptides also are critical in the regulation of appetite and metabolism. The search for drugs to modify these monoaminergic and peptidergic pathways may eventually prove successful in the treatment of obesity. While tobacco smoking has long been used as one strategy to maintain a lower body weight, especially in female smokers, its adverse associations with addiction and disease overshadow its potential use as an antiobesity agent. Potential pharmacological effects of nicotine could be better understood as the intricacies of the nicotinic acetylcholine receptor are revealed. The objective of this review is threefold: first is to provide an overview of the physiological effects of nicotine on body weight while focusing on the drugs that are available as antiobesity and smoking cessation agents. Second is to provide the present status of the nicotinic acetylcholine receptor as it relates to energy homeostasis and its potential as an effective treatment modality for obesity. Third is to present the current knowledge with respect to nicotine's effects on energy homeostatic and reward related pathways at the molecular level. A better understanding of the regulatory mechanisms underlying the pharmacological effects of nicotine on body weight will provide insights in identification of potential targets for the development of appropriate medicines in the treatment of obesity.

Animals↗

Molecular cloning, mapping and characterization of a novel mouse RING finger gene, Mrf1.

With a combined approach of database search, heterologous polymerase chain reaction (PCR), reverse transcription-PCR, rapid amplification of complementary DNA ends and genomic library screening, we have successfully cloned a mouse RING finger gene, mouse RING finger 1 (Mrf1). The Mrf1 gene has two exons of 63 and 2665 bp, respectively, and one intron of over 13 kb. An open reading frame was identified exclusively in exon 2, which encodes a putative protein of the RING-B box-coiled coil or the tripartite motif type of 403 amino acids. Mrf1 is moderately expressed in the spleen, brain and heart as a single 3.0 kb product and very highly expressed in the testis as two transcripts of 3.0 and 1.5 kb, respectively. The Mrf1 gene was mapped to mouse chromosome 3, between markers D3Mit70 and D3Mit277. Western blotting analysis indicated that an expected protein of approximately 44 kD was detected in the brain extracts of mouse, rat and human. The possible functions of Mrf1 are discussed in the contexts of protein-protein interactions, oncogenesis and ubiquitination.

Amino Acid Sequence↗

Correlations between mRNA expression levels and GC contents of coding and untranslated regions of genes in rodents.

Gene expression is regulated by a highly coordinated network of events whose efficiency may constrain the level of expression. Among other factors, natural selection for increased translational efficiency and/or fidelity may shape nucleotide composition and, hence, codon usage during evolution. Previous studies have shown that highly expressed genes in Saccharomyces cerevisiae, Caenorhabditis elegans, and Drosophila melanogaster have relatively higher codon usage biases. However, in the case of mammals, results have been equivocal. In this study, we assessed the correlation between nucleotide composition and mRNA expression levels of rodent genes measured by cDNA microarray and serial analysis of gene expression (SAGE) techniques. We found that mRNA expression levels were correlated with the third nucleotide position GC (GC3) content for both Rattus norvegicus (r = 0.246, p = 0.01; N = 110) and Mus musculus (r = 0.21, p = 0.0026; N = 203) genes. However, no significant correlation was evident between mRNA expression level and GC contents of 5'- and 3'-untranslated regions (UTRs) for either species. This suggests that, in rodents, nucleotide composition of coding sequences and UTRs might evolve differentially when considered along an expression gradient. Accordingly, it is possible that higher GC levels may present the rodent genes with a selective advantage for translational efficiency. However, the increase in GC3 content seems to level off above an expressional threshold (e.g., >or=threefold the median expression for R. norvegicus), suggesting that conflicting demands posed by different aspects of transcriptional and translational machineries (e.g., efficiency versus fidelity) may set an upper limit for GC3.

Animals↗

Analysis of heterosis by a direct method using the concept of heritability.

The presence of heterosis has been observed in many species at both phenotypic and gene levels. Strangely, the genetic basis of heterosis was and still is largely unknown. In this study, we extended and simplified some formulas that we reported previously. The foundation of our model was based on partitioning the F1 phenotypic variance of the cross between two pure lines into additive, dominance and epistasis components, which lead to the estimation of effective factors, crossheritability in the broad and narrow sense and heterotic power. In the model, we assume that all polygenes controlling a quantitative trait have an equal genetic effect and are independent of each other. By extension of the heritability to a cross population, new features appear. The word 'crossheritability' acquires the status of a new genetic parameter that suffices to deal with the problem of crossbreeding and clarifies the picture of heterosis. Lastly, an example of employing the proposed method in analyzing the crossing data from Drosophila melanogaster is given to illustrate its application.

Animals↗

Microarray technology and its application on nicotine research.

Since its development, microarray technique has revolutionized almost all fields of biomedical research by enabling high-throughput gene expression profiling. Using cDNA microarrays, thousands of genes from various organisms have been examined with respect to differentiation/development, disease diagnosis, and drug discovery Nevertheless, research on nicotine using cDNA microarrays has been rather limited. Therefore, it is our intention in this article to report the findings of our cDNA microarray study on nicotine. We first present an overview of the microarray technology, particularly focusing on the factors related to microarray design and analysis. Second, we provide a detailed description of several newly identified biological pathways in our laboratory, such as phosphatidylinositol signaling and calcium homeostasis, which are involved in response to chronic nicotine administration. Additionally, we illustrate how comparisons between microarray studies help identify candidate genes that potentially may explain the observed inverse association between smoking and schizophrenia. Lastly, given the early stage of microarray research on nicotine, we elaborate on the need for an efficient analysis of genetic networks to further enhance our understanding of the mechanisms involved in nicotine abuse and addiction.

Animals↗