Dongxiao Shen
Harvard University
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Featured researches published by Dongxiao Shen.
Circulation | 2012
Susan Cheng; Eugene P. Rhee; Martin G. Larson; Gregory D. Lewis; Elizabeth L. McCabe; Dongxiao Shen; Melinda J. Palma; Lee D. Roberts; Andre Dejam; Amanda Souza; Amy Deik; Martin Magnusson; Caroline S. Fox; Christopher J. O'Donnell; Olle Melander; Clary B. Clish; Robert E. Gerszten; Thomas J. Wang
Background— Although metabolic risk factors are known to cluster in individuals who are prone to developing diabetes mellitus and cardiovascular disease, the underlying biological mechanisms remain poorly understood. Methods and Results— To identify pathways associated with cardiometabolic risk, we used liquid chromatography/mass spectrometry to determine the plasma concentrations of 45 distinct metabolites and to examine their relation to cardiometabolic risk in the Framingham Heart Study (FHS; n=1015) and the Malmö Diet and Cancer Study (MDC; n=746). We then interrogated significant findings in experimental models of cardiovascular and metabolic disease. We observed that metabolic risk factors (obesity, insulin resistance, high blood pressure, and dyslipidemia) were associated with multiple metabolites, including branched-chain amino acids, other hydrophobic amino acids, tryptophan breakdown products, and nucleotide metabolites. We observed strong associations of insulin resistance traits with glutamine (standardized regression coefficients, −0.04 to −0.22 per 1-SD change in log-glutamine; P<0.001), glutamate (0.05 to 0.14; P<0.001), and the glutamine-to-glutamate ratio (−0.05 to −0.20; P<0.001) in the discovery sample (FHS); similar associations were observed in the replication sample (MDC). High glutamine-to-glutamate ratio was associated with lower risk of incident diabetes mellitus in FHS (odds ratio, 0.79; adjusted P=0.03) but not in MDC. In experimental models, administration of glutamine in mice led to both increased glucose tolerance (P=0.01) and decreased blood pressure (P<0.05). Conclusions— Biochemical profiling identified circulating metabolites not previously associated with metabolic traits. Experimentally interrogating one of these pathways demonstrated that excess glutamine relative to glutamate, resulting from exogenous administration, is associated with reduced metabolic risk in mice.
Nature Biotechnology | 2011
Terri Addona; Xu Shi; Hasmik Keshishian; D. R. Mani; Michael Burgess; Michael A. Gillette; Karl R. Clauser; Dongxiao Shen; Gregory D. Lewis; Laurie A. Farrell; Michael A. Fifer; Marc S. Sabatine; Robert E. Gerszten; Steven A. Carr
We developed a pipeline to integrate the proteomic technologies used from the discovery to the verification stages of plasma biomarker identification and applied it to identify early biomarkers of cardiac injury from the blood of patients undergoing a therapeutic, planned myocardial infarction (PMI) for treatment of hypertrophic cardiomyopathy. Sampling of blood directly from patient hearts before, during and after controlled myocardial injury ensured enrichment for candidate biomarkers and allowed patients to serve as their own biological controls. LC-MS/MS analyses detected 121 highly differentially expressed proteins, including previously credentialed markers of cardiovascular disease and >100 novel candidate biomarkers for myocardial infarction (MI). Accurate inclusion mass screening (AIMS) qualified a subset of the candidates based on highly specific, targeted detection in peripheral plasma, including some markers unlikely to have been identified without this step. Analyses of peripheral plasma from controls and patients with PMI or spontaneous MI by quantitative multiple reaction monitoring mass spectrometry or immunoassays suggest that the candidate biomarkers may be specific to MI. This study demonstrates that modern proteomic technologies, when coherently integrated, can yield novel cardiovascular biomarkers meriting further evaluation in large, heterogeneous cohorts.
Cell Metabolism | 2013
Eugene P. Rhee; Jennifer E. Ho; Ming-Huei Chen; Dongxiao Shen; Susan Cheng; Martin G. Larson; Anahita Ghorbani; Xu Shi; Iiro Taneli Helenius; Christopher J. O’Donnell; Amanda Souza; Amy Deik; Kerry A. Pierce; Kevin Bullock; Geoffrey A. Walford; Jose C. Florez; Clary B. Clish; Jing-Ruey J. Yeh; Thomas J. Wang; Robert E. Gerszten
Because metabolites are hypothesized to play key roles as markers and effectors of cardiometabolic diseases, recent studies have sought to annotate the genetic determinants of circulating metabolite levels. We report a genome-wide association study (GWAS) of 217 plasma metabolites, including >100 not measured in prior GWAS, in 2076 participants of the Framingham Heart Study (FHS). For the majority of analytes, we find that estimated heritability explains >20% of interindividual variation, and that variation attributable to heritable factors is greater than that attributable to clinical factors. Further, we identify 31 genetic loci associated with plasma metabolites, including 23 that have not previously been reported. Importantly, we include GWAS results for all surveyed metabolites and demonstrate how this information highlights a role for AGXT2 in cholesterol ester and triacylglycerol metabolism. Thus, our study outlines the relative contributions of inherited and clinical factors on the plasma metabolome and provides a resource for metabolism research.
Circulation | 2009
Victoria L. King; Alexander Y. Lin; Fjoralba Kristo; Thomas J.T. Anderson; Neil Ahluwalia; Gregory J. Hardy; A. Phillip Owens; Deborah A. Howatt; Dongxiao Shen; Andrew M. Tager; Andrew D. Luster; Alan Daugherty; Robert E. Gerszten
Background— Vascular disease can manifest as stenotic plaques or ectatic aneurysms, although the mechanisms culminating in these divergent disease manifestations remain poorly understood. T-helper type 1 cytokines, including interferon-&ggr; and CXCL10, have been strongly implicated in atherosclerotic plaque development. Methods and Results— Here, we specifically examined their role in the formation of abdominal aortic aneurysms in the angiotensin II–induced murine model. Unexpectedly, we found increased suprarenal aortic diameters, abdominal aortic aneurysm incidence, and aneurysmal death in apolipoprotein E– and interferon-&ggr;–deficient (Apoe−/−/Ifng−/−) mice compared with Apoe−/− controls, although atherosclerotic luminal plaque formation was attenuated. The interferon-&ggr;–inducible T-cell chemoattractant CXCL10 was highly induced by angiotensin II infusion in Apoe−/− mice, but this induction was markedly attenuated in Apoe−/−/Ifng−/− mice. Apoe−/−/Cxcl10−/− mice had decreased luminal plaque but also increased aortic size, worse morphological grades of aneurysms, and a higher incidence of death due to aortic rupture than Apoe−/− controls. Furthermore, abdominal aortic aneurysms in Apoe−/−/Cxcl10−/− mice were enriched for non–T-helper type 1–related signals, including transforming growth factor-&bgr;1. Treatment of Apoe−/−/Cxcl10−/− mice with anti-transforming growth factor-&bgr; neutralizing antibody diminished angiotensin II–induced aortic dilation. Conclusions— The present study defines a novel pathway in which interferon-&ggr; and its effector, CXCL10, contribute to divergent pathways in abdominal aortic aneurysm versus plaque formation, inhibiting the former pathology but promoting the latter. Thus, efforts to develop antiinflammatory strategies for atherosclerosis must carefully consider potential effects on all manifestations of vascular disease.
Journal of Immunology | 2007
Neil Ahluwalia; Alexander Y. Lin; Andrew M. Tager; Ivy E. Pruitt; Thomas J.T. Anderson; Fjoralba Kristo; Dongxiao Shen; Anna R. Cruz; Masanori Aikawa; Andrew D. Luster; Robert E. Gerszten
Leukotriene B4 is a proinflammatory lipid mediator generated by the enzymes 5-lipoxygenase and leukotriene A4 hydrolase. Leukotriene B4 signals primarily through its high-affinity G protein-coupled receptor, BLT1, which is highly expressed on specific leukocyte subsets. Recent genetic studies in humans as well as knockout studies in mice have implicated the leukotriene synthesis pathway in several vascular pathologies. In this study, we tested the hypothesis that BLT1 is necessary for abdominal aortic aneurysm (AAA) formation, a major complication of atherosclerotic vascular disease. Chow-fed Apoe−/− and Apoe−/−/Blt1−/− mice were treated with a 4-wk infusion of angiotensin II (1000 ng/min/kg) beginning at 20 wk of age, in a well-established murine AAA model. We found a reduced incidence of AAA formation as well as concordant reductions in the maximum suprarenal/infrarenal diameter and total suprarenal/infrarenal area in the angiotensin II-treated Apoe−/−/Blt1−/− mice as compared with the Apoe−/− controls. Diminished AAA formation in BLT1-deficient mice was associated with significant reductions in mononuclear cell chemoattractants and leukocyte accumulation in the vessel wall, as well as striking reductions in the production of matrix metalloproteinases-2 and -9. Thus, we have shown that BLT1 contributes to the frequency and size of abdominal aortic aneurysms in mice and that BLT1 deletion in turn inhibits proinflammatory circuits and enzymes that modulate vessel wall integrity. These findings extend the role of BLT1 to a critical complication of vascular disease and underscore its potential as a target for intervention in modulating multiple pathologies related to atherosclerosis.
Circulation | 2016
Debby Ngo; Sumita Sinha; Dongxiao Shen; Eric Kuhn; Michelle J. Keyes; Xu Shi; Mark D. Benson; John O’Sullivan; Hasmik Keshishian; Laurie A. Farrell; Michael A. Fifer; Marc S. Sabatine; Martin G. Larson; Steven A. Carr; Thomas J. Wang; Robert E. Gerszten
Background: Single-stranded DNA aptamers are oligonucleotides of ≈50 base pairs in length selected for their ability to bind proteins with high specificity and affinity. Emerging DNA aptamer-based technologies may address limitations of existing proteomic techniques, including low sample throughput, which have hindered proteomic analyses of large cohorts. Methods: To identify early biomarkers of myocardial injury, we applied an aptamer-based proteomic platform that measures 1129 proteins to a clinically relevant perturbational model of planned myocardial infarction (PMI), patients undergoing septal ablation for hypertrophic cardiomyopathy. Blood samples were obtained before and at 10 and 60 minutes after PMI, and protein changes were assessed by repeated-measures analysis of variance. The generalizability of our PMI findings was evaluated in a spontaneous myocardial infarction cohort (Wilcoxon rank-sum). We then tested the platform’s ability to detect associations between proteins and Framingham Risk Score components in the Framingham Heart Study, performing regression analyses for each protein versus each clinical trait. Results: We found 217 proteins that significantly changed in the peripheral vein blood after PMI in a derivation cohort (n=15; P<5.70E-5). Seventy-nine of these proteins were validated in an independent PMI cohort (n=15; P<2.30E-4); >85% were directionally consistent and reached nominal significance. We detected many protein changes that are novel in the context of myocardial injury, including Dickkopf-related protein 4, a WNT pathway inhibitor (peak increase 124%, P=1.29E-15) and cripto, a growth factor important in cardiac development (peak increase 64%, P=1.74E-4). Among the 40 validated proteins that increased within 1 hour after PMI, 23 were also elevated in patients with spontaneous myocardial infarction (n=46; P<0.05). Framingham Heart Study analyses revealed 156 significant protein associations with the Framingham Risk Score (n=899), including aminoacylase 1 (&bgr;=0.3386, P=2.54E-22) and trigger factor 2 (&bgr;=0.2846, P=5.71E-17). Furthermore, we developed a novel workflow integrating DNA-based immunoaffinity with mass spectrometry to analytically validate aptamer specificity. Conclusions: Our results highlight an emerging proteomics tool capable of profiling >1000 low-abundance analytes with high sensitivity and high precision, applicable both to well-phenotyped perturbational studies and large human cohorts, as well.
Circulation Research | 2011
Dongxiao Shen; Jian Li; John J. Lepore; Thomas J.T. Anderson; Sumita Sinha; Alexander Y. Lin; Lan Cheng; Ethan David Cohen; Jesse D. Roberts; Shoukat Dedhar; Michael S. Parmacek; Robert E. Gerszten
Rationale: Integrin-linked kinase (ILK) is located at focal adhesions and links the extracellular matrix (ECM) to the actin cytoskeleton via &bgr;1- and &bgr;3-integrins. ILK plays a role in the activation of kinases including protein kinase B/Akt and glycogen synthase kinase 3&bgr; and regulates cell proliferation, motility, and survival. Objective: To determine the function of ILK in vascular smooth muscle cells (SMCs) in vivo. Methods and Results: SM22Cre+IlkFl/Fl conditional mutant mice were generated in which the Ilk gene was selectively ablated in SMCs. SM22Cre+IlkFl/Fl conditional mutant mice survive to birth but die in the perinatal period exhibiting multiple vascular pathologies including aneurysmal dilatation of the aorta and patent ductus arteriosus (PDA). Defects in morphogenetic development of the aorta were observed as early as E12.5 in SM22Cre+IlkFl/Fl mutant embryos. By late gestation (E16.5 to 18.5), striking expansion of the thoracic aorta was observed in ILK mutant embryos. Histological analyses revealed that the structural organization of the arterial tunica media is severely disrupted with profound derangements in SMC morphology, cell-cell, and cell-matrix relationships, including disruption of the elastic lamellae. ILK deletion in primary aortic SMCs results in alterations of RhoA/cytoskeletal signaling transduced through aberrant localization of myocardin-related transcription factor (MRTF)-A repressing the transcription and expression of SMC genes, which are required for the maintenance of the contractile SMC phenotype. Conclusions: These data identify a molecular pathway linking ILK signaling to the contractile SMC gene program. Activation of this pathway is required for morphogenetic development of the aorta and ductus arteriosus during embryonic and postnatal survival.
Circulation | 2017
Mark D. Benson; Qiong Yang; Debby Ngo; Yineng Zhu; Dongxiao Shen; Laurie A. Farrell; Sumita Sinha; Michelle J. Keyes; Martin G. Larson; J. Gustav Smith; Thomas J. Wang; Robert E. Gerszten
Background: We recently identified 156 proteins in human plasma that were each associated with the net Framingham Cardiovascular Disease Risk Score using an aptamer-based proteomic platform in Framingham Heart Study Offspring participants. Here we hypothesized that performing genome-wide association studies and exome array analyses on the levels of each of these 156 proteins might identify genetic determinants of risk-associated circulating factors and provide insights into early cardiovascular pathophysiology. Methods: We studied the association of genetic variants with the plasma levels of each of the 156 Framingham Cardiovascular Disease Risk Score–associated proteins using linear mixed-effects models in 2 population-based cohorts. We performed discovery analyses on plasma samples from 759 participants of the Framingham Heart Study Offspring cohort, an observational study of the offspring of the original Framingham Heart Study and their spouses, and validated these findings in plasma samples from 1421 participants of the MDCS (Malmö Diet and Cancer Study). To evaluate the utility of this strategy in identifying new biological pathways relevant to cardiovascular disease pathophysiology, we performed studies in a cell-model system to experimentally validate the functional significance of an especially novel genetic association with circulating apolipoprotein E levels. Results: We identified 120 locus-protein associations in genome-wide analyses and 41 associations in exome array analyses, the majority of which have not been described previously. These loci explained up to 66% of interindividual plasma protein-level variation and, on average, accounted for 3 times the amount of variation explained by common clinical factors, such as age, sex, and diabetes mellitus status. We described overlap among many of these loci and cardiovascular disease genetic risk variants. Finally, we experimentally validated a novel association between circulating apolipoprotein E levels and the transcription factor phosphatase 1G. Knockdown of phosphatase 1G in a human liver cell model resulted in decreased apolipoprotein E transcription and apolipoprotein E protein levels in cultured supernatants. Conclusions: We identified dozens of novel genetic determinants of proteins associated with the Framingham Cardiovascular Disease Risk Score and experimentally validated a new role for phosphatase 1G in lipoprotein biology. Further, genome-wide and exome array data for each protein have been made publicly available as a resource for cardiovascular disease research.
Circulation | 2016
Mark D. Benson; Dongxiao Shen; Jordan Morningstar; Michelle J. Keyes; Deborah Ngo; John O’Sullivan; Xu Shi; Laurie A. Farrell; Sumita Sinha; Thomas J. Wang; Robert E. Gerszten
Circulation | 2016
Debby Ngo; Sumita Sinha; Dongxiao Shen; Eric Kuhn; Michelle J. Keyes; Xu Shi; Mark D. Benson; John O’Sullivan; Hasmik Keshishian; Laurie A. Farrell; Marc S. Sabatine; Martin G. Larson; Steven A. Carr; Thomas J. Wang; Robert E. Gerszten