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Biomedical subjects

Donglei Hu

Publications and source records attributed to Donglei Hu.

5 recordsLinked to original sources

Evaluation of Multiple Breast Cancer Polygenic Risk Score Panels in Women of Latin American Heritage.

BACKGROUND: A substantial portion of the genetic predisposition for breast cancer is explained by multiple common genetic variants of relatively small effect. A subset of these variants, which have been identified mostly in individuals of European (EUR) and Asian ancestries, have been combined to construct a polygenic risk score (PRS) to predict breast cancer risk, but the prediction accuracy of existing PRSs in Hispanic/Latinx individuals (H/L) remain relatively low. We assessed the performance of several existing PRS panels with and without addition of H/L-specific variants among self-reported H/L women. METHODS: PRS performance was evaluated using multivariable logistic regression and the area under the ROC curve. RESULTS: Both EUR and Asian PRSs performed worse in H/L samples compared with original reports. The best EUR PRS performed better than the best Asian PRS in pooled H/L samples. EUR PRSs had decreased performance with increasing Indigenous American (IA) ancestry, while Asian PRSs had increased performance with increasing IA ancestry. The addition of two H/L SNPs increased performance for all PRSs, most notably in the samples with high IA ancestry, and did not impact the performance of PRSs in individuals with lower IA ancestry. CONCLUSIONS: A single PRS that incorporates risk variants relevant to the multiple ancestral components of individuals from Latin America, instead of a set of ancestry-specific panels, could be used in clinical practice. IMPACT: The results highlight the importance of population-specific discovery and suggest a straightforward approach to integrate ancestry-specific variants into PRSs for clinical application.

Adult↗

Functional and molecular comparison of anergic and regulatory T lymphocytes.

Tolerance in vivo is maintained by multiple mechanisms that function to prevent autoimmunity. An encounter of CD4+ T cells with a circulating self-Ag leads to partial thymic deletion, the development of CD25+ regulatory T cells (Tregs), and functional anergy in the surviving CD25- population. We have compared anergic and regulatory T cells of the same Ag specificity generated in vivo by the systemic self-Ag. Anergic cells are unresponsive to the self-Ag that induces tolerance, but upon transfer into a new host and immunization, anergic cells can induce a pathologic autoimmune reaction against tissue expressing the same Ag. Tregs, in contrast, are incapable of mediating harmful reactions. To define the basis of this functional difference, we have compared gene expression profiles of anergic and regulatory T cells. These analyses show that Tregs express a distinct molecular signature, but anergic cells largely lack such a profile. Anergic cells express transcripts that are associated with effector differentiation, e.g., the effector cytokines IL-4 and IFN-gamma. Anergic cells do not produce these cytokines in response to self-Ag, because the cells exhibit a proximal signaling block in response to TCR engagement. Thus, anergy reflects an aborted activation pathway that can readily be reversed, resulting in pathologic effector cell responses, whereas Treg development follows a distinct developmental pathway that extinguishes effector functions.

Animals↗

Assessment of differential gene expression in human peripheral nerve injury.

BACKGROUND: Microarray technology is a powerful methodology for identifying differentially expressed genes. However, when thousands of genes in a microarray data set are evaluated simultaneously by fold changes and significance tests, the probability of detecting false positives rises sharply. In this first microarray study of brachial plexus injury, we applied and compared the performance of two recently proposed algorithms for tackling this multiple testing problem, Significance Analysis of Microarrays (SAM) and Westfall and Young step down adjusted p values, as well as t-statistics and Welch statistics, in specifying differential gene expression under different biological states. RESULTS: Using SAM based on t statistics, we identified 73 significant genes, which fall into different functional categories, such as cytokines / neurotrophin, myelin function and signal transduction. Interestingly, all but one gene were down-regulated in the patients. Using Welch statistics in conjunction with SAM, we identified an additional set of up-regulated genes, several of which are engaged in transcription and translation regulation. In contrast, the Westfall and Young algorithm identified only one gene using a conventional significance level of 0.05. CONCLUSION: In coping with multiple testing problems, Family-wise type I error rate (FWER) and false discovery rate (FDR) are different expressions of Type I error rates. The Westfall and Young algorithm controls FWER. In the context of this microarray study, it is, seemingly, too conservative. In contrast, SAM, by controlling FDR, provides a promising alternative. In this instance, genes selected by SAM were shown to be biologically meaningful.

Journal Article↗

beta(1)-Receptors increase cAMP and induce abnormal Ca(i) cycling in the German shepherd sudden death model.

We studied the role of beta-adrenergic receptor subtype signaling to cAMP and calcium in the genesis of catecholamine-dependent arrhythmias in German shepherd dogs that develop lethal arrhythmias at ~5 mo of age. There were three major findings in this study: 1) isoproterenol induces similar increases in cAMP in afflicted and control dogs exclusively through beta(1)-receptors (not beta(2)), 2) cells from afflicted dogs display prolonged relaxation kinetics at long cycle lengths and large frequent spontaneous calcium oscillations (and aftercontractions) with little increase in calcium transient amplitude in response to beta(1)-receptor agonists, and 3) beta(2)-receptor agonists induce a similar marked increases in calcium transient and twitch amplitude, with only rare spontaneous calcium oscillations in afflicted and control cells. These results indicate that catecholamines provide inotropic support to canine cardiomyocytes through distinct beta(1)- and beta(2)-receptor pathways with differing requirements for cAMP. The propensity to develop arrhythmias is not induced by beta(2)-receptors (or a rise in calcium alone), but rather occurs in the context of beta(1)-receptor activation of the cAMP-dependent pathway.

Adrenergic beta-Agonists↗