 Connection
Angelo D'Alessandro to Biomarkers
This is a "connection" page, showing publications Angelo D'Alessandro has written about Biomarkers.
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Connection Strength |
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1.954 |
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Reisz JA, Earley EJ, Nemkov T, Key A, Stephenson D, Keele GR, Dzieciatkowska M, Spitalnik SL, Hod EA, Kleinman S, Roubinian NH, Gladwin MT, Hansen KC, Norris PJ, Busch MP, Zimring JC, Churchill GA, Page GP, D'Alessandro A. Arginine metabolism is a biomarker of red blood cell and human aging. Aging Cell. 2025 Feb; 24(2):e14388.
Score: 0.405
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Gehrke S, Reisz JA, Nemkov T, Hansen KC, D'Alessandro A. Characterization of rapid extraction protocols for high-throughput metabolomics. Rapid Commun Mass Spectrom. 2017 Sep 15; 31(17):1445-1452.
Score: 0.247
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D'Alessandro A, Zimring JC. From metabolomics to transfusion-associated immunomodulation. Curr Opin Immunol. 2025 Oct; 96:102646.
Score: 0.107
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Skinner SC, Nemkov T, Diaw M, Mbaye MN, Diedhiou D, Sow D, Gueye F, Lopez P, Connes P, D'Alessandro A. Metabolic Profile of Individuals with and without Type 2 Diabetes from Sub-Saharan Africa. J Proteome Res. 2023 07 07; 22(7):2319-2326.
Score: 0.092
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LaCroix IS, Cohen M, Moore EE, Dzieciatkowska M, Nemkov T, Schaid TR, Debot M, Jones K, Silliman CC, Hansen KC, D'Alessandro A. Omics Markers of Red Blood Cell Transfusion in Trauma. Int J Mol Sci. 2022 Nov 10; 23(22).
Score: 0.088
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D'Alessandro A, Fu X, Reisz JA, Stone M, Kleinman S, Zimring JC, Busch M. Ethyl glucuronide, a marker of alcohol consumption, correlates with metabolic markers of oxidant stress but not with hemolysis in stored red blood cells from healthy blood donors. Transfusion. 2020 06; 60(6):1183-1196.
Score: 0.074
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Reisz JA, Wither MJ, Moore EE, Slaughter AL, Moore HB, Ghasabyan A, Chandler J, Schaub LJ, Fragoso M, Nunns G, Silliman CC, Hansen KC, Banerjee A, Sheppard FR, D'Alessandro A. All animals are equal but some animals are more equal than others: Plasma lactate and succinate in hemorrhagic shock-A comparison in rodents, swine, nonhuman primates, and injured patients. J Trauma Acute Care Surg. 2018 03; 84(3):537-541.
Score: 0.064
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Clendenen N, D'Alessandro A. High Throughput Metabolomics in Clinical Studies: Review and New Applications to Remote Ischemic Preconditioning. Curr Top Med Chem. 2018; 18(25):2143-2153.
Score: 0.063
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D'Alessandro A, Moore HB, Moore EE, Reisz JA, Wither MJ, Ghasasbyan A, Chandler J, Silliman CC, Hansen KC, Banerjee A. Plasma succinate is a predictor of mortality in critically injured patients. J Trauma Acute Care Surg. 2017 09; 83(3):491-495.
Score: 0.062
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Nemkov T, Hansen KC, D'Alessandro A. A three-minute method for high-throughput quantitative metabolomics and quantitative tracing experiments of central carbon and nitrogen pathways. Rapid Commun Mass Spectrom. 2017 Apr 30; 31(8):663-673.
Score: 0.060
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D'alessandro A, Nemkov T, Reisz J, Dzieciatkowska M, Wither MJ, Hansen KC. Omics markers of the red cell storage lesion and metabolic linkage. Blood Transfus. 2017 Mar; 15(2):137-144.
Score: 0.059
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Paglia G, D'Alessandro A, Rolfsson Ó, Sigurjónsson ÓE, Bordbar A, Palsson S, Nemkov T, Hansen KC, Gudmundsson S, Palsson BO. Biomarkers defining the metabolic age of red blood cells during cold storage. Blood. 2016 09 29; 128(13):e43-50.
Score: 0.057
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D'Alessandro A, Dzieciatkowska M, Hill RC, Hansen KC. Supernatant protein biomarkers of red blood cell storage hemolysis as determined through an absolute quantification proteomics technology. Transfusion. 2016 06; 56(6):1329-39.
Score: 0.055
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D'Alessandro A, Moore HB, Moore EE, Wither M, Nemkov T, Gonzalez E, Slaughter A, Fragoso M, Hansen KC, Silliman CC, Banerjee A. Early hemorrhage triggers metabolic responses that build up during prolonged shock. Am J Physiol Regul Integr Comp Physiol. 2015 Jun 15; 308(12):R1034-44.
Score: 0.052
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Zolla L, D'Alessandro A. Preface to the Special Issue: Integrated omics. J Proteomics. 2012 Dec 05; 76 Spec No.:3-9.
Score: 0.044
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D'Alessandro A, Zolla L. Pharmacoproteomics: a chess game on a protein field. Drug Discov Today. 2010 Dec; 15(23-24):1015-23.
Score: 0.038
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D'Alessandro A, Liumbruno G, Grazzini G, Pupella S, Lombardini L, Zolla L. Umbilical cord blood stem cells: towards a proteomic approach. J Proteomics. 2010 Jan 03; 73(3):468-82.
Score: 0.035
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van Wonderen SF, van Baarle FLF, Phelp PG, Bulle EB, Argabright A, de Bruin S, Tuip-de Boer AM, Polet CA, van Amstel RBE, Lim EHT, Schenk J, Peters AL, van Bruggen R, Reisz JA, Vermeulen C, Klei TRL, Biemond BJ, Müller MCA, D'Alessandro A, Vlaar APJ. Posttransfusion recovery, quality, and metabolism of short- and long-term stored platelets during controlled inflammation. Blood Adv. 2025 Oct 28; 9(20):5164-5176.
Score: 0.027
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Wölnerhanssen BK, Meyer-Gerspach AC, Arduini A, D'Alessandro A, Gronda E, Carugo S, Bonomini M, Gallieni M, Masola V, Angelillo-Scherrer A, Prosdocimi T, Lopaschuk GD. Sweeteners: erythritol, xylitol and cardiovascular risk-friend or foe? Cardiovasc Res. 2025 Aug 14; 121(9):1319-1329.
Score: 0.027
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Gallagher LT, Erickson C, D'Alessandro A, Schaid T, Thielen O, Hallas W, Mitra S, Stafford P, Moore EE, Silliman CC, Calfee CS, Cohen MJ. Smoking primes the metabolomic response in trauma. J Trauma Acute Care Surg. 2024 Jul 01; 97(1):48-56.
Score: 0.024
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Correnti S, Preianò M, Gamboni F, Stephenson D, Pelaia C, Pelaia G, Savino R, D'Alessandro A, Terracciano R. An integrated metabo-lipidomics profile of induced sputum for the identification of novel biomarkers in the differential diagnosis of asthma and COPD. J Transl Med. 2024 03 23; 22(1):301.
Score: 0.024
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Craighead DH, Heinbockel TC, Freeberg KA, Rossman MJ, Jackman RA, Jankowski LR, Hamilton MN, Ziemba BP, Reisz JA, D'Alessandro A, Brewster LM, DeSouza CA, You Z, Chonchol M, Bailey EF, Seals DR. Time-Efficient Inspiratory Muscle Strength Training Lowers Blood Pressure and Improves Endothelial Function, NO Bioavailability, and Oxidative Stress in Midlife/Older Adults With Above-Normal Blood Pressure. J Am Heart Assoc. 2021 07 06; 10(13):e020980.
Score: 0.020
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Sonn BJ, Heard KJ, Heard SM, D'Alessandro A, Reynolds KM, Dart RC, Rumack BH, Monte AA. Metabolomic markers predictive of hepatic adaptation to therapeutic dosing of acetaminophen. Clin Toxicol (Phila). 2022 Feb; 60(2):221-230.
Score: 0.020
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Galbraith MD, Kinning KT, Sullivan KD, Baxter R, Araya P, Jordan KR, Russell S, Smith KP, Granrath RE, Shaw JR, Dzieciatkowska M, Ghosh T, Monte AA, D'Alessandro A, Hansen KC, Benett TD, Hsieh EW, Espinosa JM. Seroconversion stages COVID19 into distinct pathophysiological states. Elife. 2021 03 16; 10.
Score: 0.020
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Rossman MJ, Gioscia-Ryan RA, Santos-Parker JR, Ziemba BP, Lubieniecki KL, Johnson LC, Poliektov NE, Bispham NZ, Woodward KA, Nagy EE, Bryan NS, Reisz JA, D'Alessandro A, Chonchol M, Sindler AL, Seals DR. Inorganic Nitrite Supplementation Improves Endothelial Function With Aging: Translational Evidence for Suppression of Mitochondria-Derived Oxidative Stress. Hypertension. 2021 04; 77(4):1212-1222.
Score: 0.020
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Johnson LC, Parker K, Aguirre BF, Nemkov TG, D'Alessandro A, Johnson SA, Seals DR, Martens CR. The plasma metabolome as a predictor of biological aging in humans. Geroscience. 2019 12; 41(6):895-906.
Score: 0.018
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Sonn BJ, Saben JL, McWilliams G, Shelton SK, Flaten HK, D'Alessandro A, Monte AA. Predicting response to lisinopril in treating hypertension: a pilot study. Metabolomics. 2019 10 03; 15(10):133.
Score: 0.018
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Howie HL, Hay AM, de Wolski K, Waterman H, Lebedev J, Fu X, Culp-Hill R, D'Alessandro A, Gorham JD, Ranson MS, Roback JD, Thomson PC, Zimring JC. Differences in Steap3 expression are a mechanism of genetic variation of RBC storage and oxidative damage in mice. Blood Adv. 2019 08 13; 3(15):2272-2285.
Score: 0.018
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Jones CL, Stevens BM, D'Alessandro A, Culp-Hill R, Reisz JA, Pei S, Gustafson A, Khan N, DeGregori J, Pollyea DA, Jordan CT. Cysteine depletion targets leukemia stem cells through inhibition of electron transport complex II. Blood. 2019 07 25; 134(4):389-394.
Score: 0.017
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Lana A, Alexander K, Castagna A, D'Alessandro A, Morandini F, Pizzolo F, Zorzi F, Mulatero P, Zolla L, Olivieri O. Urinary Metabolic Signature of Primary Aldosteronism: Gender and Subtype-Specific Alterations. Proteomics Clin Appl. 2019 07; 13(4):e1800049.
Score: 0.017
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Banerjee A, Silliman CC, Moore EE, Dzieciatkowska M, Kelher M, Sauaia A, Jones K, Chapman MP, Gonzalez E, Moore HB, D'Alessandro A, Peltz E, Huebner BE, Einerson P, Chandler J, Ghasabayan A, Hansen K. Systemic hyperfibrinolysis after trauma: a pilot study of targeted proteomic analysis of superposed mechanisms in patient plasma. J Trauma Acute Care Surg. 2018 06; 84(6):929-938.
Score: 0.016
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Goodman SR, Pace BS, Hansen KC, D'alessandro A, Xia Y, Daescu O, Glatt SJ. Minireview: Multiomic candidate biomarkers for clinical manifestations of sickle cell severity: Early steps to precision medicine. Exp Biol Med (Maywood). 2016 Apr; 241(7):772-81.
Score: 0.014
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Moore HB, Moore EE, Chapman MP, Gonzalez E, Slaughter AL, Morton AP, D'Alessandro A, Hansen KC, Sauaia A, Banerjee A, Silliman CC. Viscoelastic measurements of platelet function, not fibrinogen function, predicts sensitivity to tissue-type plasminogen activator in trauma patients. J Thromb Haemost. 2015 Oct; 13(10):1878-87.
Score: 0.013
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Dzieciatkowska M, D'Alessandro A, Hill RC, Hansen KC. Plasma QconCATs reveal a gender-specific proteomic signature in apheresis platelet plasma supernatants. J Proteomics. 2015 Apr 29; 120:1-6.
Score: 0.013
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Olivieri O, Cecconi D, Castagna A, Chiecchi L, Guarini P, Gunasekaran M, Morandini F, Brazzarola P, Zolla L, D'Alessandro A, Veglio F, Mulatero P, Pizzolo F. Urinary protease inhibitor Serpin B3 is higher in women and is further increased in female patients affected by aldosterone producing adenoma. Mol Biosyst. 2014 Jun; 10(6):1281-9.
Score: 0.012
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Marrocco C, Pallotta V, D'alessandro A, Alves G, Zolla L. Red blood cell populations and membrane levels of peroxiredoxin 2 as candidate biomarkers to reveal blood doping. Blood Transfus. 2012 May; 10 Suppl 2:s71-7.
Score: 0.011
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Ploeg RJ, D'Alessandro AM, Groshek M, Gange SJ, Knechtle SJ, Stegall MD, Eckhoff DE, Pirsch JD, Sollinger HW, Belzer FO. Clinical experience with human anodal trypsinogen (HAT) for detection of pancreatic allograft rejection. Transpl Int. 1994; 7 Suppl 1:S426-31.
Score: 0.003
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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