Biomedical subjects

Wenlei Liu

Publications and source records attributed to Wenlei Liu.

15 recordsLinked to original sources

PubMed2006

Peroxisome proliferator-activated receptors increase human sebum production.

Sebum production is key in the pathophysiology of acne, an extremely common condition, which when severe, may require treatment with isotretinoin, a known teratogen. Apart from isotretinoin and hormonal therapy, no agents are available to reduce sebum. Increasing our understanding of the regulation of sebum production is a milestone in identifying alternative therapeutic targets. Studies in sebocytes and human sebaceous glands indicate that agonists of peroxisome proliferator-activated receptors (PPARs) alter sebaceous lipid production. The goal of this study is to verify the expression and activity of PPARs in human skin and SEB-1 sebocytes and to assess the effects of PPAR ligands on sebum production in patients. To investigate the contribution of each receptor subtype to sebum production, lipogenesis assays were performed in SEB-1 sebocytes that were treated with PPAR ligands and isotretinoin. Isotretinoin significantly decreased lipogenesis, while the PPARalpha agonist-GW7647, PPARdelta agonist-GW0742, PPARalpha/delta agonist-GW2433, PPARgamma agonist rosiglitazone, and the pan-agonist-GW4148, increased lipogenesis. Patients treated with thiazolidinediones or fibrates had significant increases in sebum production (37 and 77%, respectively) when compared to age-, disease-, and sex-matched controls. These data indicate that PPARs play a role in regulating sebum production and that selective modulation of their activity may represent a novel therapeutic strategy for the treatment of acne.

Adult↗

PubMed2006

The impact of missing and erroneous genotypes on tagging SNP selection and power of subsequent association tests.

OBJECTIVE: Single nucleotide polymorphisms (SNPs) serve as effective markers for localizing disease susceptibility genes, but current genotyping technologies are inadequate for genotyping all available SNP markers in a typical linkage/association study. Much attention has recently been paid to methods for selecting the minimal informative subset of SNPs in identifying haplotypes, but there has been little investigation of the effect of missing or erroneous genotypes on the performance of these SNP selection algorithms and subsequent association tests using the selected tagging SNPs. The purpose of this study is to explore the effect of missing genotype or genotyping error on tagging SNP selection and subsequent single marker and haplotype association tests using the selected tagging SNPs. METHODS: Through two sets of simulations, we evaluated the performance of three tagging SNP selection programs in the presence of missing or erroneous genotypes: Clayton's diversity based program htstep, Carlson's linkage disequilibrium (LD) based program ldSelect, and Stram's coefficient of determination based program tagsnp.exe. RESULTS: When randomly selected known loci were relabeled as 'missing', we found that the average number of tagging SNPs selected by all three algorithms changed very little and the power of subsequent single marker and haplotype association tests using the selected tagging SNPs remained close to the power of these tests in the absence of missing genotype. When random genotyping errors were introduced, we found that the average number of tagging SNPs selected by all three algorithms increased. In data sets simulated according to the haplotype frequecies in the CYP19 region, Stram's program had larger increase than Carlson's and Clayton's programs. In data sets simulated under the coalescent model, Carlson's program had the largest increase and Clayton's program had the smallest increase. In both sets of simulations, with the presence of genotyping errors, the power of the haplotype tests from all three programs decreased quickly, but there was not much reduction in power of the single marker tests. CONCLUSIONS: Missing genotypes do not seem to have much impact on tagging SNP selection and subsequent single marker and haplotype association tests. In contrast, genotyping errors could have severe impact on tagging SNP selection and haplotype tests, but not on single marker tests.

Algorithms↗

PubMed2006

Gene array expression profiling in acne lesions reveals marked upregulation of genes involved in inflammation and matrix remodeling.

The pathogenesis of acne has been linked to multiple factors such as increased sebum production, inflammation, follicular hyperkeratinization, and the action of Propionibacterium acnes within the follicle. In an attempt to understand the specific genes involved in inflammatory acne, we performed gene expression profiling in acne patients. Skin biopsies were obtained from an inflammatory papule and from normal skin in six patients with acne. Biopsies were also taken from normal skin of six subjects without acne. Gene array expression profiling was conducted using Affymetrix HG-U133A 2.0 arrays comparing lesional to nonlesional skin in acne patients and comparing nonlesional skin from acne patients to skin from normal subjects. Within the acne patients, 211 genes are upregulated in lesional skin compared to nonlesional skin. A significant proportion of these genes are involved in pathways that regulate inflammation and extracellular matrix remodeling, and they include matrix metalloproteinases 1 and 3, IL-8, human beta-defensin 4, and granzyme B. These data indicate a prominent role of matrix metalloproteinases, inflammatory cytokines, and antimicrobial peptides in acne lesions. These studies are the first describing the comprehensive changes in gene expression in inflammatory acne lesions and are valuable in identifying potential therapeutic targets in inflammatory acne.

Acne Vulgaris↗

PubMed2006

Differential expression of genes in amyotrophic lateral sclerosis revealed by profiling the post mortem cortex.

The possible causes of ALS are unknown and multiple biological systems have been implicated. The goal of this study was to use gene expression profiling to evaluate a broad spectrum of systems in ALS. For this study, the medial lip of the human motor cortex and adjacent sensory cortex were collected at autopsy from five ALS patients and three normal individuals. Quantitative filter analysis revealed differential expression of mRNAs normalized to internal standards. A significant difference in expression of 275 genes was found in the ALS motor cortex; of the genes whose expression was changed, 10 were up-regulated and 265 were down-regulated. Six of the up-regulated genes were associated with cell surface activity and two were glutamate receptors; the latter is potentially consistent with the idea of excitotoxicity contributing to neurodegeneration in ALS. Of the down-regulated genes, the largest number were associated with transcription followed by those involved in antioxidant systems, inflammation, regulation of motor neuron function, lipid metabolism, protease inhibition, and protection against apoptosis including vascular endothelial growth factor. There were no significant differences in gene expression patterns between the sensory and motor cortex in the ALS brains. A total of 10% of the genes identified by microarray were chosen from each of the gene groups for validation by quantitative real time PCR (QRT-PCR). In order to increase the reliability of our gene array data, newly acquired motor and sensory cortex of ALS and control cases (n = 4 each) were used for validation. Of these, 86.4% changed in the same direction as determined in the microarrays. The gene profile data reported here are consistent with evidence that the ALS brain is characterized by an environment that is permissive for apoptosis, excitotoxicity and abnormal ubiquitination. This gene array study also suggested that a metal imbalance particularly for zinc could exist in ALS. Finally, given the amount of cellular stress that is thought to be part of the pathogenesis in ALS, there was a notable lack of increase in genes required to mount a protective response. This latter observation provides a conceptual framework in which to consider the possibility that ALS could result from a failure to mount adequate protective responses to physiological insults that, left unchecked, could progress to neurodegeneration.

Aged↗

PubMed2006

Family-based association tests suggest linkage between surfactant protein B (SP-B) (and flanking region) and respiratory distress syndrome (RDS): SP-B haplotypes and alleles from SP-B-linked loci are risk factors for RDS.

Genetic variants of surfactant protein B (SP-B) have been associated with respiratory distress syndrome (RDS) in the prematurely born infant. We wished to determine linkage between RDS and SP-B single nucleotide polymorphisms (SNPs) [-18 (A/C), 1013 (A/C), 1580 (C/T), and 9306 (A/G)] or SP-B-linked microsatellite [(D2S388, D2S2232, (AAGG)n, and GATA41E01 (or D2S1331)] loci and identify susceptibility or protective alleles and haplotypes. We genotyped 132 families consisting of one or two parents and at least one child affected with RDS and performed biallelic and multiallelic family-based association test (FBAT) analysis, and extended transmission disequilibrium test (ETDT). ETDT analysis identified the microsatellite SP-B-linked loci (except D2S2232) to be linked to RDS. One allele from each of these three marker loci contributes to the risk of RDS. Multiallelic FBAT analysis detected a signal of linkage for the region of the four SNP loci. Three haplotypes within this region contribute to RDS risk. Although no other region showed significant linkage as judged by multiallelic FBAT, biallelic FBAT analysis revealed three potential susceptibility haplotypes formed by two to four loci within the SP-B and SP-B-linked microsatellite region. Each haplotype included GATA41E01, which was identified by ETDT analysis to be linked to RDS. We conclude that SP-B or SP-B-linked loci are linked to RDS and certain alleles or haplotypes are susceptibility or protective factors for the development of RDS in infants born prematurely.

Adult↗

PubMed2005

Comparison of type I error for multiple test corrections in large single-nucleotide polymorphism studies using principal components versus haplotype blocking algorithms.

Although permutation testing has been the gold standard for assessing significance levels in studies using multiple markers, it is time-consuming. A Bonferroni correction to the nominal p-value that uses the underlying pair-wise linkage disequilibrium (LD) structure among the markers to determine the number of effectively independent tests has recently been proposed. We propose using the number of independent LD blocks plus the number of independent single-nucleotide polymorphisms for correction. Using the Collaborative Study on the Genetics of Alcoholism LD data for chromosome 21, we simulated 1,000 replicates of parent-child trio data under the null hypothesis with two levels of LD: moderate and high. Assuming haplotype blocks were independent, we calculated the number of independent statistical tests using 3 haplotype blocking algorithms. We then compared the type I error rates using a principal components-based method, the three blocking methods, a traditional Bonferroni correction, and the unadjusted p-values obtained from FBAT. Under high LD conditions, the PC method and one of the blocking methods were slightly conservative, whereas the 2 other blocking methods exceeded the target type I error rate. Under conditions of moderate LD, we show that the blocking algorithm corrections are closest to the desired type I error, although still slightly conservative, with the principal components-based method being almost as conservative as the traditional Bonferroni correction.

Algorithms↗

PubMed2005

beta-Adrenergic receptor polymorphisms and response to salmeterol.

RATIONALE: Several studies suggest that patients with asthma who are homozygous for arginine at the 16th position of the beta2-adrenergic receptor may not benefit from short-acting beta-agonists. OBJECTIVES: We investigated whether such genotype-specific effects occur when patients are treated with long-acting beta-agonists and whether such effects are modified by concurrent inhaled corticosteroid (ICS) use. METHODS: We compared salmeterol response in patients with asthma homozygous for arginine at B16 (B16Arg/Arg) with those homozygous for glycine at B16 (B16Gly/Gly) in two separate cohorts. In the first, subjects were randomized to regular therapy with salmeterol while simultaneously discontinuing ICS therapy. In the second, subjects were randomized to regular therapy with salmeterol while continuing concomitant ICS. RESULTS: In both trials, B16Arg/Arg subjects did not benefit compared with B16Gly/Gly subjects after salmeterol was initiated. In the first cohort, compared with placebo, the addition of salmeterol was associated with a 51.4 L/min lower A.M. peak expiratory flow (PEF; p = 0.005) in B16Arg/Arg subjects(salmeterol, n = 12; placebo, n = 5) as compared with B16Gly/Gly subjects (salmeterol, n = 13; placebo, n = 13). In the second cohort, B16Arg/Arg subjects treated with salmeterol and ICS concurrently (n = 8) had a lower A.M. PEF (36.8 L/min difference, p = 0.048) than B16Gly/Gly subjects (n = 22) treated with the same regimen. In addition, B16 Arg/Arg subjects in the second cohort had lower FEV1 (0.42 L, p = 0.003), increased symptom scores (0.2 units, p = 0.034), and increased albuterol rescue use (0.95 puffs/d, p = 0.004) compared with B16Gly/Gly subjects. CONCLUSIONS: Relative to B16Gly/Gly patients with asthma, B16Arg/Arg patients with asthma may have an impaired therapeutic response to salmeterol in either the absence or presence of concurrent ICS use. Investigation of alternate treatment strategies may benefit this group.

Administration, Inhalation↗

PubMed2005

Modelling clinical trials in heterogeneous samples.

Individual variation in genetic, phenotypic and environmental factors could lead to significant differences in rates of drug metabolism, in clinical responses to drugs, and in drug side effects. The impact of population heterogeneity on treatment effect estimation and on assessment and application of clinical trial findings has been less than fully studied. In this paper, we studied the properties of models that reflect population heterogeneity of clinical trial samples by unmeasured covariates such as genetic susceptibility. The impact of heterogeneity on the estimation of treatment effect in a two-armed placebo or active-controlled clinical trial was quantified using logistic regression models. We also proposed a two-stage clinical trial, where the effects of individual drug-response-related covariates were estimated in a 'training data set' in the first stage of the trial. In the second stage of the trial, a subgroup of individuals with enhanced (or reduced) sensitivity to drug treatments in a heterogeneous risk cohort was identified based on information about their drug-related characteristics. Only these 'responders' were included in the subsequent efficacy test. Our simulation results showed that population heterogeneity could lead to biased estimation of treatment effect not only in the contaminated groups but also in the uncontaminated groups. A two-stage trial could greatly increase the power of an efficacy test over a 'full trial' even with fewer individuals enrolled in the trial; results would apply to a more highly specified population. The bigger the covariate effects, the more efficient the two-stage trial is compared to a 'full trial'.

Biometry↗

PubMed2005

Genotypic probabilities for pairs of inbred relatives.

Expressions for the joint genotypic probabilities of two related individuals are used in many population and quantitative genetic analyses. These expressions, resting on a set of 15 probabilities of patterns of identity by descent among the four alleles at a locus carried by the relatives, are generally well known. There has been recent interest in special cases where the two individuals are both related and inbred, although there have been differences among published results. Here, we return to the original 15-probability treatment and show appropriate reductions for relatives when they are drawn from a population that itself is inbred or when the relatives have parents who are related. These results have application in affected-relative tests for linkage, and in methods for interpreting forensic genetic profiles.

Breeding↗

PubMed2005

Comparison of cryopreservation and standard needle biopsy for gene expression profiling of human breast cancer specimens.

Given the growing importance of molecular profiling of breast cancer, we initiated a small study to test whether human breast biopsies obtained via cryopreservation large core needle biopsy (C-LCNB) provided similar gene expression profiles compared with 'optimally handled' standard large core needle biopsy (S-LCNB) specimens. Five matched pairs of C-LCNB versus S-LCNB were obtained at the same visit, and subjected to gene array expression analysis using the Affymetrix system with U133A chips. No significant changes in gene expression were identified comparing the C-LCNB versus the matched S-LCNB from individual patients. This was corroborated by a paired t-test analysis, which supported the hypothesis that the S/C biopsies measured equivalent samples. A small number of genes (17) showed decreased expression when second biopsies were compared with first biopsies, suggesting a slight patient response to the first biopsy. A scatter plot analysis comparing first biopsy versus second biopsy values disclosed a slope of 0.859, further indicating that the first biopsy affects the second biopsy measurement. It therefore appears that conventional biopsies, when handled appropriately, provide RNA which is equivalent to RNA from biopsies which are frozen immediately, but that multiple biopsy protocols may introduce additional complexities.

Biopsy, Needle↗

PubMed2004

Increased incidence of the Hfe mutation in amyotrophic lateral sclerosis and related cellular consequences.

The etiology of amyotrophic lateral sclerosis (ALS) is unknown. The presence of mutations in the superoxide dismutase gene (SOD1) has led to theories regarding a role for oxidative stress in the pathogenesis of this disease. A primary cause of oxidative stress is perturbations in cellular iron homeostasis. Cellular iron mismanagement and oxidative stress are associated with a number of neurodegenerative diseases. One mechanism by which cells fail to properly regulate their iron status is through a mutation in the Hfe gene. Mutations in the Hfe gene are associated with the iron overload disease, hemochromatosis. In the current study, 31% of patients with sporadic ALS carried a mutation in the Hfe gene, compared to only 14% of patients without identifiable neuromuscular disease, or with neuromuscular diseases other than ALS (p<0.005). To determine the cellular consequences of carrying an Hfe mutation, a human neuronal cell line was transfected with genes carrying the Hfe mutation. The presence of the Hfe mutation disrupted expression of tubulin and actin at the protein levels potentially consistent with the disruption of axonal transport seen in ALS and was also associated with a decrease in CuZnSOD1 expression. These data provide compelling evidence for a role for the Hfe mutation in etiopathogenesis of ALS and warrant further investigation.

Age of Onset↗

PubMed2004

SP-A1 and SP-A2 variants differentially enhance association of Pseudomonas aeruginosa with rat alveolar macrophages.

Chronic airway inflammation caused by Pseudomonas aeruginosa is an important feature of cystic fibrosis (CF). Surfactant protein A (SP-A) enhances phagocytosis of P. aeruginosa. Two genes, SP-A1 and SP-A2, encode human SP-A. We hypothesized that genetically determined differences in the activity of SP-A1 and SP-A2 gene products exist. To test this, we studied association of a nonmucoid P. aeruginosa strain (ATCC 39018) with rat alveolar macrophages in the presence or absence of insect cell-expressed human SP-A variants. We used two trios, each consisting of SP-A1, SP-A2, and their coexpressed SP-A1/SP-A2 variants. We tested the 6A(2) and 6A(4) alleles (for SP-A1), the 1A(0) and 1A alleles (for SP-A2), and their respective coexpressed SP-A1/SP-A2 gene products. After incubation of alveolar macrophages with P. aeruginosa in the presence of the SP-A variants at 37 degrees C for 1 h, the cell association of bacteria was assessed by light microscopy analysis. We found 1) depending on SP-A concentration and variant, SP-A2 variants significantly increased the cell association more than the SP-A1 variants (the phagocytic index for SP-A1 was approximately 52-95% of the SP-A2 activity); 2) coexpressed variants at certain concentrations were more active than single gene products; and 3) the phagocytic index for SP-A variants was approximately 18-41% of the human SP-A from bronchoalveolar lavage. We conclude that human SP-A variants in vitro enhance association of P. aeruginosa with rat alveolar macrophages differentially and in a concentration-dependent manner, with SP-A2 variants having a higher activity compared with SP-A1 variants.

Alleles↗

PubMed2004

The impact of population heterogeneity on risk estimation in genetic counseling.

BACKGROUND: Genetic counseling has been an important tool for evaluating and communicating disease susceptibility for decades, and it has been applied to predict risks for a wide class of hereditary disorders. Most diseases are complex in nature and are affected by multiple genes and environmental conditions; it is highly likely that DNA tests alone do not define all the genetic factors responsible for a disease, so that persons classified into the same risk group by DNA testing actually could have different disease susceptibilities. Ignorance of population heterogeneity may lead to biased risk estimates, whereas additional information on population heterogeneity may improve the precision of such estimates. METHODS: Although DNA tests are widely used, few studies have investigated the accuracy of the predicted risks. We examined the impact of population heterogeneity on predicted disease risks by simulation of three different heterogeneity scenarios and studied the precision and accuracy of the risks estimated from a logistic regression model that ignored population heterogeneity. Moreover, we also incorporated information about population heterogeneity into our original model and investigated the resulting improvement in the accuracy of risk estimation. RESULTS: We found that heterogeneity in one or more categories could lead to biased estimates not only in the "contaminated" categories but also in other homogeneous categories. Incorporating information about population heterogeneity into the original model greatly improved the accuracy of risk estimation. CONCLUSIONS: Our findings imply that without thorough knowledge about genetic basis of the disease, risks estimated from DNA tests may be misleading. Caution should be taken when evaluating the predicted risks obtained from genetic counseling. On the other hand, the improved accuracy of risk estimates after incorporating population heterogeneity information into the model did point out a promising direction for genetic counseling, since more and more new techniques are being invented and disease etiology is being better understood.

Bias↗

PubMed2004

Genome scan meta-analysis for hypertension.

BACKGROUND: Genome scans for hypertension have yielded inconsistent results. The non-replication of significant or suggestive linkage might be due to lack of power of individual studies. Here, we conducted a genome scan meta-analysis for hypertension in an attempt to increase statistical power and to enhance evidence of linkage. METHODS: A newly developed Genome Search Meta-analysis (GSMA) method was applied to pool the results obtained from six scans reported in five papers. RESULTS: Our analysis did not find any regions with genome-wide significant linkage to hypertension. We did identify several regions with suggestive linkage, including 2p, 5q, 6q, 8p, 9p, 9q, and 11q. CONCLUSIONS: It seems that no region has a uniformly large impact on hypertension and that susceptibility genes for hypertension may be very difficult to detect.

Blood Pressure↗

PubMed2003

Study of human SP-A, SP-B and SP-D loci: allele frequencies, linkage disequilibrium and heterozygosity in different races and ethnic groups.

BACKGROUND: SP-A, SP-B, and SP-D are pulmonary surfactant proteins. Several linkage and association studies have been done using these genes as markers to locate pulmonary disease susceptibility genes, but few have studied the markers systematically in different ethnic groups. Here we studied eight markers in SP-A, SP-B, and SP-D genes in seven ethnic groups from three races (Caucasian, Black and Hispanic). We measured the similarity of the marker distribution among the ethnic groups in order to see whether people in different ethnic groups or races could be mixed together for linkage and association studies. To evaluate the usefulness of these markers, we estimated the informativeness of each marker loci in the seven ethnic groups by assessing their heterozygosity and PIC values. We also conducted linkage disequilibrium (LD) analysis to identify associated marker loci and to estimate the haplotype frequencies in each of the seven ethnic groups in an attempt to find valuable haplotypes so that the level of polymorphism of the "markers" could be increased. RESULTS: Our findings indicate that allele and genotype frequencies may be different between different ethnic groups, especially between ethnic groups from different races. The markers are in general polymorphic in a variety of study groups, especially for the two SP-A1 and SP-A2 markers. Two-locus LD analysis reveals that three pairs of loci are strongly associated together: B-18(A/C) with B1013(A/C), DA11(C/T) with DA160(A/G), SP-A1 with SP-A2. Three-locus LD analysis suggests that B-18(A/C), B1013(A/C) and B1580(C/T) are strongly associated with each other. CONCLUSIONS: Allele and genotype frequency differences imply that different ethnic groups should be mixed with extreme caution before performing linkage and association studies. The associated markers could be used together to increase the level of polymorphism and the informativeness of the "markers".

Black People↗