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Xuenan Mi
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Effects of tea intake on blood pressure: a meta-analysis of randomised controlled trials
G Liu, XN Mi, XX Zheng, YL Xu, J Lu, XH Huang
British Journal of Nutrition 112 (7), 1043-1054, 2014
972014
MicroRNA‐216a induces endothelial senescence and inflammation via Smad3/IκBα pathway
S Yang, X Mi, Y Chen, C Feng, Z Hou, R Hui, W Zhang
Journal of Cellular and Molecular Medicine 22 (5), 2739-2749, 2018
572018
Novel findings from a metabolomics study of left ventricular diastolic function: the Bogalusa Heart Study
AC Razavi, LA Bazzano, J He, C Fernandez, SP Whelton, ...
Journal of the American Heart Association 9 (3), e015118, 2020
342020
Long-term stimulation of angiotensin II induced endothelial senescence and dysfunction
R Li, X Mi, S Yang, Y Yang, S Zhang, R Hui, Y Chen, W Zhang
Experimental Gerontology 119, 212-220, 2019
332019
Rare coding variants in 35 genes associate with circulating lipid levels—A multi-ancestry analysis of 170,000 exomes
G Hindy, P Dornbos, MD Chaffin, DJ Liu, M Wang, MS Selvaraj, D Zhang, ...
The American Journal of Human Genetics 109 (1), 81-96, 2022
282022
An untargeted metabolomics study of blood pressure: findings from the Bogalusa Heart Study
WJ He, C Li, X Mi, M Shi, X Gu, LA Bazzano, AC Razavi, JL Nierenberg, ...
Journal of Hypertension 38 (7), 1302-1311, 2020
272020
Inhibition of lung microbiota-derived proapoptotic peptides ameliorates acute exacerbation of pulmonary fibrosis
CN D’Alessandro-Gabazza, T Yasuma, T Kobayashi, M Toda, ...
Nature communications 13 (1), 1-23, 2022
262022
Pseudouridine and N-formylmethionine associate with left ventricular mass index: metabolome-wide association analysis of cardiac remodeling
AC Razavi, LA Bazzano, J He, S Li, C Fernandez, SP Whelton, ...
Journal of molecular and cellular cardiology 140, 22-29, 2020
202020
Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium
BM Lin, KE Grinde, JA Brody, CE Breeze, LM Raffield, JC Mychaleckyj, ...
EBioMedicine 63, 103157, 2021
152021
Serum metabolites associate with physical performance among middle-aged adults: Evidence from the Bogalusa Heart Study
JL Nierenberg, J He, C Li, X Gu, M Shi, AC Razavi, X Mi, S Li, LA Bazzano, ...
Aging (Albany NY) 12 (12), 11914, 2020
152020
Insights from a large-scale whole-genome sequencing study of systolic blood pressure, diastolic blood pressure, and hypertension
TN Kelly, X Sun, KY He, MR Brown, SAG Taliun, JN Hellwege, MR Irvin, ...
Hypertension 79 (8), 1656-1667, 2022
142022
Novel associations between blood metabolites and kidney function among Bogalusa Heart Study and Multi-Ethnic Study of Atherosclerosis participants
JL Nierenberg, J He, C Li, X Gu, M Shi, AC Razavi, X Mi, S Li, LA Bazzano, ...
Metabolomics 15 (12), 1-11, 2019
142019
Novel serum metabolites associate with cognition phenotypes among Bogalusa Heart Study participants
M Shi, LA Bazzano, J He, X Gu, C Li, S Li, K Yaffe, JM Kinchen, P Stuchlik, ...
Aging (Albany NY) 11 (14), 5124, 2019
132019
Predicting the Activities of Drug Excipients on Biological Targets using One-Shot Learning
X Mi, D Shukla
The Journal of Physical Chemistry B 126 (7), 1492-1503, 2022
102022
MicroRNA-216a Promotes Endothelial Inflammation by Smad7/IκBα Pathway in Atherosclerosis
S Yang, Y Chen, X Mi, S Zhang, Y Yang, R Hui, W Zhang
Disease Markers 2020, 2020
102020
Sequence controlled secondary structure is important for the site-selectivity of lanthipeptide cyclization
X Mi, EK Desormeaux, TT Le, WA van der Donk, D Shukla
Chemical Science, 2023
62023
Whole-exome sequencing study identifies four novel gene loci associated with diabetic kidney disease
Y Pan, X Sun, X Mi, Z Huang, Y Hsu, JE Hixson, D Munzy, G Metcalf, ...
Human Molecular Genetics, 2022
52022
Race modifies the association between animal protein metabolite 1-methylhistidine and blood pressure in middle-aged adults: the Bogalusa Heart Study
AC Razavi, LA Bazzano, J He, SP Whelton, CM Rebholz, C Fernandez, ...
Journal of hypertension 38 (12), 2435-2442, 2020
52020
Statistical issues on analysis of censored data due to detection limit
H He, X Mi, W Tang
Int J Stat Probab 9 (4), 49-61, 2020
32020
Leveraging machine learning models for peptide–protein interaction prediction
S Yin, X Mi, D Shukla
RSC Chemical Biology 5 (5), 401-417, 2024
12024
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