. Le-pic-d, Amikacine ou de Gentamicine était prélevé 30 minutes après la fin de la perfusion et la vallée 20 heures après la fin de la perfusion sur un tube hépariné de 5ml selon les recommandations en vigueur

. Les-concentrations-de, TIMP2] et [IGFBP7] sont mesurées par immunofluorescence par un appareil de mesure Astute 140 â Meter (Astute Medical, ) certifié CE depuis juin 2012. Les mesures étaient effectuées selon les recommandations du fabricant. L'Astute 140 â

M. Ostermann and R. Chang, Acute kidney injury in the intensive care unit according to RIFLE*, Critical Care Medicine, vol.35, issue.8, pp.1837-1880, 2007.
DOI : 10.1097/01.CCM.0000277041.13090.0A

S. Uchino, J. Kellum, R. Bellomo, G. Doig, H. Morimatsu et al., Acute Renal Failure in Critically Ill Patients<SUBTITLE>A Multinational, Multicenter Study</SUBTITLE>, JAMA, vol.294, issue.7, pp.813-821, 2005.
DOI : 10.1001/jama.294.7.813

E. Hoste, S. Bagshaw, R. Bellomo, C. Cely, R. Colman et al., Epidemiology of acute kidney injury in critically ill patients: the multinational AKI-EPI study, Intensive Care Medicine, vol.40, issue.8, pp.1411-1434, 2015.
DOI : 10.1007/s00134-015-3934-7

C. Thakar, A. Christianson, R. Freyberg, P. Almenoff, and M. Render, Incidence and outcomes of acute kidney injury in intensive care units: A Veterans Administration study*, Critical Care Medicine, vol.37, issue.9, pp.2552-2560, 2009.
DOI : 10.1097/CCM.0b013e3181a5906f

R. Mehta, J. Bouchard, S. Soroko, . Ikizlerta, E. Paganini et al., Sepsis as a cause and consequence of acute kidney injury: Program to Improve Care in Acute Renal Disease, Intensive Care Medicine, vol.289, issue.2, pp.241-249, 2011.
DOI : 10.1007/s00134-010-2089-9

D. Annane, P. Aegerter, M. Jars-guincestre, B. Guidet, and C. Network, Current Epidemiology of Septic Shock, American Journal of Respiratory and Critical Care Medicine, vol.168, issue.2, pp.165-72, 2003.
DOI : 10.1164/rccm.2201087

E. Hoste, N. Lameire, R. Vanholder, D. Benoit, J. Decruyenaere et al., Acute Renal Failure in Patients with Sepsis in a Surgical ICU: Predictive Factors, Incidence, Comorbidity, and Outcome, Journal of the American Society of Nephrology, vol.14, issue.4, pp.1022-1052, 2003.
DOI : 10.1097/01.ASN.0000059863.48590.E9

G. Chertow, E. Burdick, M. Honour, J. Bonventre, and D. Bates, Acute Kidney Injury, Mortality, Length of Stay, and Costs in Hospitalized Patients, Journal of the American Society of Nephrology, vol.16, issue.11, pp.3365-70, 2005.
DOI : 10.1681/ASN.2004090740

H. Schiffl, S. Lang, and R. Fischer, Long-term outcomes of survivors of ICU acute kidney injury requiring renal replacement therapy: a 10-year prospective cohort study, Clinical Kidney Journal, vol.5, issue.4, pp.297-302, 2012.
DOI : 10.1093/ckj/sfs070

M. Gallagher, A. Cass, R. Bellomo, S. Finfer, D. Gattas et al., Long-Term Survival and Dialysis Dependency Following Acute Kidney Injury in Intensive Care: Extended Follow-up of a Randomized Controlled Trial, PLoS Medicine, vol.34, issue.2, p.1001601, 2014.
DOI : 10.1371/journal.pmed.1001601.s004

H. Schiffl and R. Fischer, Five-year outcomes of severe acute kidney injury requiring renal replacement therapy, Nephrology Dialysis Transplantation, vol.23, issue.7, pp.2235-2276, 2008.
DOI : 10.1093/ndt/gfn182

L. Chawla and P. Kimmel, Acute kidney injury and chronic kidney disease: an integrated clinical syndrome, Kidney International, vol.82, issue.5, pp.516-540, 2012.
DOI : 10.1038/ki.2012.208

C. Horkan, S. Purtle, M. Mendu, T. Moromizato, F. Gibbons et al., The Association of Acute Kidney Injury in the Critically Ill and Postdischarge Outcomes, Critical Care Medicine, vol.43, issue.2, pp.354-64, 2015.
DOI : 10.1097/CCM.0000000000000706

M. Korkeila, E. Ruokonen, and J. Takala, Costs of care, long-term prognosis and quality of life in patients requiring renal replacement therapy during intensive care, Intensive Care Medicine, vol.26, issue.12, pp.1824-1855, 2000.
DOI : 10.1007/s001340000726

R. Bellomo, C. Ronco, J. Kellum, R. Mehta, and P. Palevsky, Acute Dialysis Quality Initiative workgroup Acute renal failure - definition, outcome measures, animal models, fluid therapy and information technology needs : the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group, Critical Care, vol.8, issue.4, pp.204-216, 2004.
DOI : 10.1186/cc2872

B. Novis, M. Roizen, S. Aronson, and R. Thisted, Association of Preoperative Risk Factors with Postoperative Acute Renal Failure, Anesthesia & Analgesia, vol.78, issue.1, pp.143-152, 1994.
DOI : 10.1213/00000539-199401000-00023

Y. Chen, C. Jenq, Y. Tian, M. Chang, C. Lin et al., RIFLE CLASSIFICATION FOR PREDICTING IN-HOSPITAL MORTALITY IN CRITICALLY ILL SEPSIS PATIENTS, Shock, vol.31, issue.2, pp.139-184, 2009.
DOI : 10.1097/SHK.0b013e31817d419e

E. Hoste, G. Clermont, A. Kersten, R. Venkataraman, D. Angus et al., RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients : a cohort analysis, Critical Care, vol.10, issue.3, p.73, 2006.
DOI : 10.1186/cc4915

D. Cruz, I. Bolgan, M. Perazella, M. Bonello, M. De-cal et al., North East Italian Prospective Hospital Renal Outcome Survey on Acute Kidney Injury (NEiPHROS-AKI): Targeting the Problem with the RIFLE Criteria, Clinical Journal of the American Society of Nephrology, vol.2, issue.3, pp.418-443, 2007.
DOI : 10.2215/CJN.03361006

C. Jenq, M. Tsai, Y. Tian, C. Lin, C. Yang et al., RIFLE classification can predict short-term prognosis in critically ill cirrhotic patients, Intensive Care Medicine, vol.32, issue.4, pp.1921-1951, 2007.
DOI : 10.1007/s00134-007-0760-6

T. Ali, I. Khan, W. Simpson, G. Prescott, J. Townend et al., Incidence and Outcomes in Acute Kidney Injury: A Comprehensive Population-Based Study, Journal of the American Society of Nephrology, vol.18, issue.4, pp.1292-1300, 2007.
DOI : 10.1681/ASN.2006070756

M. Haase, R. Bellomo, G. Matalanis, P. Calzavacca, D. Dragun et al., A comparison of the RIFLE and Acute Kidney Injury Network classifications for cardiac surgery???associated acute kidney injury: A??prospective cohort study, The Journal of Thoracic and Cardiovascular Surgery, vol.138, issue.6, pp.1370-1376, 2009.
DOI : 10.1016/j.jtcvs.2009.07.007

E. Hoste and J. Kellum, Acute kidney injury: epidemiology and diagnostic criteria, Current Opinion in Critical Care, vol.12, issue.6, pp.531-538, 2006.
DOI : 10.1097/MCC.0b013e3280102af7

R. Mehta, J. Kellum, S. Shah, B. Molitoris, C. Ronco et al., Acute Kidney Injury Network: report of an initiative to improve outcomes in acute kidney injury, Critical Care, vol.11, issue.2, p.31, 2007.
DOI : 10.1186/cc5713

F. Barrantes, J. Tian, R. Vazquez, Y. Amoateng-adjepong, and C. Manthous, Acute kidney injury criteria predict outcomes of critically ill patients*, Critical Care Medicine, vol.36, issue.5, pp.1397-403, 2008.
DOI : 10.1097/CCM.0b013e318168fbe0

M. Ostermann and R. Chang, Correlation between parameters at initiation of renal replacement therapy and outcome in patients with acute kidney injury, Critical Care, vol.13, issue.6, p.175, 2009.
DOI : 10.1186/cc8154

J. Lopes, P. Fernandes, J. S. Gonçalves, S. Alvarez, A. et al., Acute kidney injury in intensive care unit patients: a comparison between the RIFLE and the Acute Kidney Injury Network classifications, Critical Care, vol.12, issue.4, p.110, 2008.
DOI : 10.1186/cc6997

S. Bagshaw, C. George, R. Bellomo, and . Committe, A comparison of the RIFLE and AKIN criteria for acute kidney injury in critically ill patients, Nephrology Dialysis Transplantation, vol.23, issue.5, pp.1569-74, 2008.
DOI : 10.1093/ndt/gfn009

J. Kellum, N. Lameire, . Kdigo-aki-guideline-work, and . Group, Diagnosis, evaluation, and management of acute kidney injury: a KDIGO summary (Part 1), Critical Care, vol.17, issue.1, p.204, 2013.
DOI : 10.1097/01.CCM.0000253816.83011.DB

X. Luo, L. Jiang, B. Du, Y. Wen, M. Wang et al., A comparison of different diagnostic criteria of acute kidney injury in critically ill patients, Critical Care, vol.18, issue.4, p.144, 2014.
DOI : 10.1186/cc13977

C. Langenberg, L. Wan, S. Bagshaw, M. Egi, C. May et al., Urinary biochemistry in experimental septic acute renal failure, Nephrology Dialysis Transplantation, vol.21, issue.12, pp.3389-97, 2006.
DOI : 10.1093/ndt/gfl541

URL : http://ndt.oxfordjournals.org/cgi/content/short/21/12/3389

N. Leroll, D. Nochy, E. Guérot, P. Bruneval, J. Fagon et al., Histopathology of septic shock induced acute kidney injury: apoptosis and leukocytic infiltration, Intensive Care Medicine, vol.34, issue.3, pp.471-479, 2010.
DOI : 10.1007/s00134-009-1723-x

. Takasu, J. Gaut, E. Watanabe, K. To, R. Fagley et al., Mechanisms of Cardiac and Renal Dysfunction in Patients Dying of Sepsis, American Journal of Respiratory and Critical Care Medicine, vol.187, issue.5, pp.509-526, 2013.
DOI : 10.1164/rccm.201211-1983OC

D. Di-giantomasso, C. May, and R. Bellomo, Vital Organ Blood Flow During Hyperdynamic Sepsis, Chest, vol.124, issue.3, pp.1053-1062, 2003.
DOI : 10.1378/chest.124.3.1053

C. Langenberg, L. Wan, M. Egi, C. May, and R. Bellomo, Renal blood flow in experimental septic acute renal failure, Kidney International, vol.69, issue.11, pp.1996-2002, 2006.
DOI : 10.1038/sj.ki.5000440

URL : http://doi.org/10.1038/sj.ki.5000440

C. Langenberg, L. Wan, M. Egi, C. May, and R. Bellomo, Renal blood flow and function during recovery from experimental septic acute kidney injury, Intensive Care Medicine, vol.62, issue.9, pp.1614-1622, 2007.
DOI : 10.1007/s00134-007-0734-8

L. Dorze, M. Legrand, M. Payen, D. Ince, and C. , The role of the microcirculation in acute kidney injury, Current Opinion in Critical Care, vol.15, issue.6, pp.503-511, 2009.
DOI : 10.1097/MCC.0b013e328332f6cf

K. Doi, A. Leelahavanichkul, P. Yuen, and R. Star, Animal models of sepsis and sepsis-induced kidney injury, Journal of Clinical Investigation, vol.119, issue.10, pp.2868-78, 2009.
DOI : 10.1172/JCI39421DS1

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2752080

E. Cho, J. Lee, H. Lim, S. Oh, S. Jo et al., Soluble CD25 is increased in patients with sepsis-induced acute kidney injury, Nephrology, vol.48, issue.Suppl 1, pp.318-342, 2014.
DOI : 10.1111/nep.12230

I. Umbro, G. Gentile, F. Tinti, P. Muiesan, and A. Mitterhofer, Recent advances in pathophysiology and biomarkers of sepsis-induced acute kidney injury, Journal of Infection, vol.72, issue.2, pp.131-173, 2016.
DOI : 10.1016/j.jinf.2015.11.008

T. Burke, P. Arnold, J. Gordon, R. Bulger, D. Dobyan et al., Protective effect of intrarenal calcium membrane blockers before or after renal ischemia. Functional, morphological, and mitochondrial studies., Journal of Clinical Investigation, vol.74, issue.5, pp.1830-1871, 1984.
DOI : 10.1172/JCI111602

S. Waikar and J. Bonventre, Creatinine Kinetics and the Definition of Acute Kidney Injury, Journal of the American Society of Nephrology, vol.20, issue.3, pp.672-681, 2009.
DOI : 10.1681/ASN.2008070669

D. Cockcroft and M. Gault, Prediction of Creatinine Clearance from Serum Creatinine, Nephron, vol.16, issue.1, pp.31-41, 1976.
DOI : 10.1159/000180580

A. Levey, J. Bosch, J. Lewis, T. Greene, N. Rogers et al., A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation, Annals of Internal Medicine, vol.130, issue.6, pp.461-70, 1999.
DOI : 10.7326/0003-4819-130-6-199903160-00002

A. Levey, L. Stevens, C. Schmid, Y. Zhang, A. Castro et al., A New Equation to Estimate Glomerular Filtration Rate, Annals of Internal Medicine, vol.150, issue.9, pp.604-616, 2009.
DOI : 10.7326/0003-4819-150-9-200905050-00006

E. Poggio, X. Wang, T. Greene, F. Van-lente, and P. Hall, Performance of the Modification of Diet in Renal Disease and Cockcroft-Gault Equations in the Estimation of GFR in Health and in Chronic Kidney Disease, Journal of the American Society of Nephrology, vol.16, issue.2, pp.459-66, 2005.
DOI : 10.1681/ASN.2004060447

S. Chen, Retooling the Creatinine Clearance Equation to Estimate Kinetic GFR when the Plasma Creatinine Is Changing Acutely, Journal of the American Society of Nephrology, vol.24, issue.6, pp.877-88, 2013.
DOI : 10.1681/ASN.2012070653

N. Lerolle, E. Guérot, C. Faisy, C. Bornstain, J. Diehl et al., Renal failure in septic shock: predictive value of Doppler-based renal arterial resistive index, Intensive Care Medicine, vol.365, issue.10, pp.1553-1562, 2006.
DOI : 10.1007/s00134-006-0360-x

M. Izumi, T. Sugiura, H. Nakamura, K. Nagatoya, E. Imai et al., Differential diagnosis of prerenal azotemia from acute tubular necrosis and prediction of recovery by Doppler ultrasound, American Journal of Kidney Diseases, vol.35, issue.4, pp.713-722, 2000.
DOI : 10.1016/S0272-6386(00)70020-5

A. Dewitte, J. Coquin, B. Meyssignac, O. Joannes-boyau, C. Fleureau et al., Doppler resistive index to reflect regulation of renal vascular tone during sepsis and acute kidney injury, Critical Care, vol.16, issue.5, p.165, 2012.
DOI : 10.1186/cc10517

R. Sharkey, E. Mulloy, M. Long, O. Neill, and S. , The effect of continuous positive airway pressure (CPAP) on renal vascular resistance : the influence of renal denervation, Critical Care, vol.3, issue.1, pp.33-40, 1999.
DOI : 10.1186/cc304

S. Bagshaw, M. Bennett, P. Devarajan, and R. Bellomo, Urine biochemistry in septic and non-septic acute kidney injury: a prospective observational study, Journal of Critical Care, vol.28, issue.4, pp.371-379, 2013.
DOI : 10.1016/j.jcrc.2012.10.007

A. Dewitte, M. Biais, L. Petit, J. Cochard, G. Hilbert et al., Fractional excretion of urea as a diagnostic index in acute kidney injury in intensive care patients, Journal of Critical Care, vol.27, issue.5, pp.505-515, 2012.
DOI : 10.1016/j.jcrc.2012.02.018

V. Vaidya, M. Ferguson, and J. Bonventre, Biomarkers of Acute Kidney Injury, Annual Review of Pharmacology and Toxicology, vol.48, issue.1, pp.463-93, 2008.
DOI : 10.1146/annurev.pharmtox.48.113006.094615

S. Bagshaw and R. Bellomo, Cystatin C in acute kidney injury, Current Opinion in Critical Care, vol.16, issue.6, pp.533-542, 2010.
DOI : 10.1097/MCC.0b013e32833e8412

N. Paragas, A. Qiu, Q. Zhang, B. Samstein, S. Deng et al., The Ngal reporter mouse detects the response of the kidney to injury in real time, Nature Medicine, vol.16, issue.2, pp.216-238, 2011.
DOI : 10.1038/nm.2290

J. Mishra, C. Dent, R. Tarabishi, M. Mitsnefes, Q. Ma et al., Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal injury after cardiac surgery, The Lancet, vol.365, issue.9466, pp.1231-1239, 2005.
DOI : 10.1016/S0140-6736(05)74811-X

S. Bagshaw, M. Bennett, M. Haase, A. Haase-fielitz, M. Egi et al., Plasma and urine neutrophil gelatinase-associated lipocalin in septic versus non-septic acute kidney injury in critical illness, Intensive Care Medicine, vol.37, issue.3, pp.452-61, 2010.
DOI : 10.1007/s00134-009-1724-9

D. Wheeler, P. Devarajan, Q. Ma, K. Harmon, M. Monaco et al., Serum neutrophil gelatinase-associated lipocalin (NGAL) as a marker of acute kidney injury in critically ill children with septic shock, Critical Care Medicine, vol.36, issue.4, pp.1297-303, 2008.
DOI : 10.1097/CCM.0b013e318169245a

W. Han, S. Waikar, A. Johnson, R. Betensky, C. Dent et al., Urinary biomarkers in the early diagnosis of acute kidney injury, Kidney International, vol.73, issue.7, pp.863-872, 2008.
DOI : 10.1038/sj.ki.5002715

W. Han, G. Wagener, Y. Zhu, S. Wang, and H. Lee, Urinary Biomarkers in the Early Detection of Acute Kidney Injury after Cardiac Surgery, Clinical Journal of the American Society of Nephrology, vol.4, issue.5, pp.873-82, 2009.
DOI : 10.2215/CJN.04810908

C. Parikh, E. Abraham, M. Ancukiewicz, and C. Edelstein, Urine IL-18 Is an Early Diagnostic Marker for Acute Kidney Injury and Predicts Mortality in the Intensive Care Unit, Journal of the American Society of Nephrology, vol.16, issue.10, pp.3046-52, 2005.
DOI : 10.1681/ASN.2005030236

E. Siew, T. Ikizler, T. Gebretsadik, A. Shintani, N. Wickersham et al., Elevated Urinary IL-18 Levels at the Time of ICU Admission Predict Adverse Clinical Outcomes, Clinical Journal of the American Society of Nephrology, vol.5, issue.8, pp.1497-505, 2010.
DOI : 10.2215/CJN.09061209

M. Haase, R. Bellomo, D. Story, P. Davenport, and A. Haase-fielitz, Urinary interleukin-18 does not predict acute kidney injury after adult cardiac surgery - a prospective observational cohort study, Critical Care, vol.12, issue.4, p.96, 2008.
DOI : 10.1186/cc6972

URL : http://doi.org/10.1186/cc6972

D. Portilla, C. Dent, T. Sugaya, K. Nagothu, I. Kundi et al., Liver fatty acid-binding protein as a biomarker of acute kidney injury after cardiac surgery, Kidney International, vol.73, issue.4, pp.465-72, 2008.
DOI : 10.1038/sj.ki.5002721

T. Nakamura, T. Sugaya, and H. Koide, URINARY LIVER-TYPE FATTY ACID-BINDING PROTEIN IN SEPTIC SHOCK, Shock, vol.31, issue.5, pp.454-463, 2009.
DOI : 10.1097/SHK.0b013e3181891131

K. Kashani, A. Khafaji, T. Ardiles, A. Artigas, S. Bagshaw et al., Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury, Critical Care, vol.17, issue.1, p.25, 2013.
DOI : 10.1007/BF01709751

E. Hoste, P. Mccullough, K. Kashani, L. Chawla, M. Joannidis et al., Derivation and validation of cutoffs for clinical use of cell cycle arrest biomarkers, Nephrology Dialysis Transplantation, vol.29, issue.11, pp.2054-61, 2014.
DOI : 10.1093/ndt/gfu292

A. Bihorac, L. Chawla, A. Shaw, A. Khafaji, D. Davison et al., Validation of Cell-Cycle Arrest Biomarkers for Acute Kidney Injury Using Clinical Adjudication, American Journal of Respiratory and Critical Care Medicine, vol.189, issue.8, pp.932-941, 2014.
DOI : 10.1164/rccm.201401-0077OC

M. Meersch, C. Schmidt, H. Van-aken, S. Martens, J. Rossaint et al., Urinary TIMP-2 and IGFBP7 as Early Biomarkers of Acute Kidney Injury and Renal Recovery following Cardiac Surgery, PLoS ONE, vol.365, issue.3, p.93460, 2014.
DOI : 10.1371/journal.pone.0093460.t005

K. Gunnerson, A. Shaw, L. Chawla, A. Bihorac, A. Khafaji et al., TIMP2???IGFBP7 biomarker panel accurately predicts acute kidney injury in high-risk surgical patients, Journal of Trauma and Acute Care Surgery, vol.80, issue.2, pp.243-252, 2016.
DOI : 10.1097/TA.0000000000000912

A. Dewitte, O. Joannes-boyau, C. Sidobre, C. Fleureau, M. Bats et al., Kinetic eGFR and Novel AKI Biomarkers to Predict Renal Recovery, Clinical Journal of the American Society of Nephrology, vol.10, issue.11, pp.1900-1910, 2015.
DOI : 10.2215/CJN.12651214

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4633802

P. Honore, H. Nguyen, M. Gong, L. Chawla, S. Bagshaw et al., Urinary Tissue Inhibitor of Metalloproteinase-2 and Insulin-Like Growth Factor-Binding Protein 7 for Risk Stratification of Acute Kidney Injury in Patients With Sepsis, Critical Care Medicine, vol.44, issue.10, p.2016
DOI : 10.1097/CCM.0000000000001827

N. Chindarkar, L. Chawla, J. Straseski, S. Jortani, D. Uettwiller-geiger et al., Reference intervals of urinary acute kidney injury (AKI) markers [IGFBP7]???[TIMP2] in apparently healthy subjects and chronic comorbid subjects without AKI, Clinica Chimica Acta, vol.452, pp.32-39, 2016.
DOI : 10.1016/j.cca.2015.10.029

K. Kashani, A. Khafaji, T. Ardiles, A. Artigas, S. Bagshaw et al., Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury, Critical Care, vol.17, issue.1, p.25, 2013.
DOI : 10.1007/BF01709751

A. Haase-fielitz, R. Bellomo, P. Devarajan, D. Story, G. Matalanis et al., Novel and conventional serum biomarkers predicting acute kidney injury in adult cardiac surgery???A prospective cohort study*, Critical Care Medicine, vol.37, issue.2, pp.553-60, 2009.
DOI : 10.1097/CCM.0b013e318195846e

M. Bell, A. Larsson, P. Venge, R. Bellomo, and J. Martensson, Assessement of cell-cycle arrest biomarkers to predict early and delayed acute kidney injury, Dis Markers, vol.2015, p.158658, 2015.

D. Seo, H. Li, L. Guedez, P. Wingfield, T. Diaz et al., TIMP-2 Mediated Inhibition of Angiogenesis, Cell, vol.114, issue.2, pp.171-80, 2003.
DOI : 10.1016/S0092-8674(03)00551-8

M. Taulan, F. Paquet, A. Argiles, J. Demaille, and M. Romey, Comprehensive analysis of the renal transcriptional response to acute uranyl nitrate exposure, BMC Genomics, vol.7, issue.2, 2006.
URL : https://hal.archives-ouvertes.fr/hal-00069847

Y. Ma, B. Lu, W. Ruan, H. Wang, J. Lin et al., Tumor suppressor gene insulin-like growth factor binding protein-related protein 1 (IGFBP-rP1) induces senescence-like growth arrest in colorectal cancer cells, Experimental and Molecular Pathology, vol.85, issue.2, pp.141-146, 2008.
DOI : 10.1016/j.yexmp.2008.04.005

S. Zuo, C. Liu, J. Wang, F. Wang, W. Xu et al., IGFBP-rP1 induces p21 expression through a p53-independent pathway, leading to cellular senescence of MCF-7 breast cancer cells, Journal of Cancer Research and Clinical Oncology, vol.303, issue.Pt 2, pp.1045-55, 2012.
DOI : 10.1007/s00432-012-1153-y

C. Rao, S. Lin, W. Ruan, H. Wen, and D. Wu, High Expression of IGFBP7 in Fibroblasts Induced by Colorectal Cancer Cells Is Co-Regulated by TGF-?? and Wnt Signaling in a Smad2/3-Dvl2/3-Dependent Manner, PLoS ONE, vol.22, issue.1, p.85340, 2014.
DOI : 10.1371/journal.pone.0085340.s003

P. Gandhi, H. Gaggin, A. Sheflel, A. Belcker, R. Weiner et al., Prognostic Usefulness of Insulin-Like Growth Factor-Binding Protein 7 in Heart Failure With Reduced Ejection Fraction: A Novel Biomarker of Myocardial Diastolic Function?, The American Journal of Cardiology, vol.114, issue.10, pp.1543-1552, 2014.
DOI : 10.1016/j.amjcard.2014.08.018

A. Baciewicz, D. Sokos, and R. Cowan, Aminoglycoside-Associated Nephrotoxicity in the Elderly, Annals of Pharmacotherapy, vol.17, issue.2, pp.182-188, 2003.
DOI : 10.2165/00019053-199610050-00007