Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Vishal S. Vaidya is active.

Publication


Featured researches published by Vishal S. Vaidya.


Journal of The American Society of Nephrology | 2007

Urinary N-Acetyl-β-(D)-Glucosaminidase Activity and Kidney Injury Molecule-1 Level Are Associated with Adverse Outcomes in Acute Renal Failure

Orfeas Liangos; Mary C. Perianayagam; Vishal S. Vaidya; W Han; Ron Wald; Hocine Tighiouart; Robert W. MacKinnon; Lijun Li; Vaidyanathapuram S. Balakrishnan; Brian J.G. Pereira; Joseph V. Bonventre; Bertrand L. Jaber

The role of urinary biomarkers of kidney injury in the prediction of adverse clinical outcomes in acute renal failure (ARF) has not been well described. The relationship between urinary N-acetyl-beta-(D)-glucosaminidase activity (NAG) and kidney injury molecule-1 (KIM-1) level and adverse clinical outcomes was evaluated prospectively in a cohort of 201 hospitalized patients with ARF. NAG was measured by spectrophotometry, and KIM-1 was measured by a microsphere-based Luminex technology. Mean Acute Physiology, Age, Chronic Health Evaluation II (APACHE II) score was 16, 43% had sepsis, 39% required dialysis, and hospital mortality was 24%. Urinary NAG and KIM-1 increased in tandem with APACHE II and Multiple Organ Failure scores. Compared with patients in the lowest quartile of NAG, the second, third, and fourth quartile groups had 3.0-fold (95% confidence interval [CI] 1.3 to 7.2), 3.7-fold (95% CI 1.6 to 8.8), and 9.1-fold (95% CI 3.7 to 22.7) higher odds, respectively, for dialysis requirement or hospital death (P < 0.001). This association persisted after adjustment for APACHE II, Multiple Organ Failure score, or the combined covariates cirrhosis, sepsis, oliguria, and mechanical ventilation. Compared with patients in the lowest quartile of KIM-1, the second, third, and fourth quartile groups had 1.4-fold (95% CI 0.6 to 3.0), 1.4-fold (95% CI 0.6 to 3.0), and 3.2-fold (95% CI 1.4 to 7.4) higher odds, respectively, for dialysis requirement or hospital death (P = 0.034). NAG or KIM-1 in combination with the covariates cirrhosis, sepsis, oliguria, and mechanical ventilation yielded an area under the receiver operator characteristic curve of 0.78 (95% CI 0.71 to 0.84) in predicting the composite outcome. Urinary markers of kidney injury such as NAG and KIM-1 can predict adverse clinical outcomes in patients with ARF.


Nature Biotechnology | 2010

Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies

Vishal S. Vaidya; Josef S. Ozer; Frank Dieterle; Fitz B. Collings; Victoria Ramírez; Sean P. Troth; Nagaraja Muniappa; Douglas Thudium; David Gerhold; Daniel J. Holder; Norma A. Bobadilla; Estelle Marrer; Elias Perentes; André Cordier; Jacky Vonderscher; Gerard Maurer; Peter L. Goering; Frank D. Sistare; Joseph V. Bonventre

Kidney toxicity accounts both for the failure of many drug candidates as well as considerable patient morbidity. Whereas histopathology remains the gold standard for nephrotoxicity in animal systems, serum creatinine (SCr) and blood urea nitrogen (BUN) are the primary options for monitoring kidney dysfunction in humans. The transmembrane tubular protein kidney injury molecule-1 (Kim-1) was previously reported to be markedly induced in response to renal injury. Owing to the poor sensitivity and specificity of SCr and BUN, we used rat toxicology studies to compare the diagnostic performance of urinary Kim-1 to BUN, SCr and urinary N-acetyl-β-D-glucosaminidase (NAG) as predictors of kidney tubular damage scored by histopathology. Kim-1 outperforms SCr, BUN and urinary NAG in multiple rat models of kidney injury. Urinary Kim-1 measurements may facilitate sensitive, specific and accurate prediction of human nephrotoxicity in preclinical drug screens. This should enable early identification and elimination of compounds that are potentially nephrotoxic.


Nature Biotechnology | 2010

Next-generation biomarkers for detecting kidney toxicity

Joseph V. Bonventre; Vishal S. Vaidya; Robert Schmouder; Peter U. Feig; Frank Dieterle

There is a paucity of biomarkers that reliably detect nephrotoxicity. The Predictive Safety Testing Consortium (PSTC) faced several challenges in identifying novel safety biomarkers in the renal setting.


Journal of Immunology | 2006

Resolvin D Series and Protectin D1 Mitigate Acute Kidney Injury

Jeremy S. Duffield; Song Hong; Vishal S. Vaidya; Yan Lu; Gabrielle Fredman; Charles N. Serhan; Joseph V. Bonventre

Omega-3 fatty acid docosahexaenoic acid is converted to potent resolvins (Rv) and protectin D1 (PD1), two newly identified families of natural mediators of resolution of inflammation. We report that, in response to bilateral ischemia/reperfusion injury, mouse kidneys produce D series resolvins (RvDs) and PD1. Administration of RvDs or PD1 to mice before the ischemia resulted in a reduction in functional and morphological kidney injury. Initiation of RvDs and RvD1 administration 10 min after reperfusion also resulted in protection of the kidney as measured by serum creatinine 24 and 48 h later. Interstitial fibrosis after ischemia/reperfusion was reduced in mice treated with RvDs. Both RvDs and PD1 reduced the number of infiltrating leukocytes and blocked TLR-mediated activation of macrophages. Thus, the renal production of Rv and protectins, a previously unrecognized endogenous anti-inflammatory response, may play an important role in protection against and resolution of acute kidney injury. These data may also have therapeutic implications for potentiation of recovery from acute kidney injury.


Clinical and Translational Science | 2008

Urinary Biomarkers for Sensitive and Specific Detection of Acute Kidney Injury in Humans

Vishal S. Vaidya; Sushrut S. Waikar; Michael A. J. Ferguson; Fitz B. Collings; Kelsey Sunderland; Costas J. Gioules; Gary Bradwin; Roland Matsouaka; Rebecca A. Betensky; Gary C. Curhan; Joseph V. Bonventre

Acute kidney injury (AKI) is associated with high morbidity and mortality. The lack of sensitive and specific injury biomarkers has greatly impeded the development of therapeutic strategies to improve outcomes of AKI.


Clinical Journal of The American Society of Nephrology | 2010

Urinary Biomarkers in the Clinical Prognosis and Early Detection of Acute Kidney Injury

Jay L. Koyner; Vishal S. Vaidya; Michael R. Bennett; Qing Ma; Elaine M. Worcester; Shahab A. Akhter; Jai Raman; Valluvan Jeevanandam; Micheal F. O'Connor; Prasad Devarajan; Joseph V. Bonventre; Patrick T. Murray

BACKGROUND AND OBJECTIVES Several novel urinary biomarkers have shown promise in the early detection and diagnostic evaluation of acute kidney injury (AKI). Clinicians have limited tools to determine which patients will progress to more severe forms of AKI at the time of serum creatinine increase. The diagnostic and prognostic utility of novel and traditional AKI biomarkers was evaluated during a prospective study of 123 adults undergoing cardiac surgery. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Urinary neutrophil gelatinase-associated lipocalin (NGAL), cystatin C (CyC), kidney injury molecule-1 (KIM-1), hepatocyte growth factor (HGF), π-glutathione-S-transferase (π-GST), α-GST, and fractional excretions of sodium and urea were all measured at preoperative baseline, postoperatively, and at the time of the initial clinical diagnosis of AKI. Receiver operator characteristic curves were generated and the areas under the curve (AUCs) were compared. RESULTS Forty-six (37.4%) subjects developed AKI Network stage 1 AKI; 9 (7.3%) of whom progressed to stage 3. Preoperative KIM-1 and α-GST were able to predict the future development of stage 1 and stage 3 AKI. Urine CyC at intensive care unit (ICU) arrival best detected early stage 1 AKI (AUC = 0.70, P < 0.001); the 6-hour ICU NGAL (AUC = 0.88; P < 0.001) best detected early stage 3 AKI. π-GST best predicted the progression to stage 3 AKI at the time of creatinine increase (AUC = 0.86; P = 0.002). CONCLUSION Urinary biomarkers may improve the ability to detect early AKI and determine the clinical prognosis of AKI at the time of diagnosis.


Kidney International | 2011

Improved performance of urinary biomarkers of acute kidney injury in the critically ill by stratification for injury duration and baseline renal function

Zoltan H. Endre; John W. Pickering; Robert J. Walker; Prasad Devarajan; Charles L. Edelstein; Joseph V. Bonventre; Chris Frampton; Michael R. Bennett; Qing Ma; Venkata Sabbisetti; Vishal S. Vaidya; Angela Walcher; Geoffrey M. Shaw; Seton J Henderson; Maryam Nejat; John Schollum; Peter M. George

To better understand the diagnostic and predictive performance of urinary biomarkers of kidney injury, we evaluated γ-glutamyltranspeptidase (GGT), alkaline phosphatase (AP), neutrophil-gelatinase-associated lipocalin (NGAL), cystatin C (CysC), kidney injury molecule-1 (KIM-1), and interleukin-18 (IL-18) in a prospective observational study of 529 patients in 2 general intensive care units (ICUs). Comparisons were made using the area under the receiver operator characteristic curve (AUC) for diagnosis or prediction of acute kidney injury (AKI), dialysis, or death, and reassessed after patient stratification by baseline renal function (estimated glomerular filtration rate, eGFR) and time after renal insult. On ICU entry, no biomarker had an AUC above 0.7 in the diagnosis or prediction of AKI. Several biomarkers (NGAL, CysC, and IL-18) predicted dialysis (AUC over 0.7), and all except KIM-1 predicted death at 7 days (AUC between 0.61 and 0.69). Performance was improved by stratification for eGFR or time or both. With eGFR <60 ml/min, CysC and KIM-1 had AUCs of 0.69 and 0.73, respectively, within 6 h of injury, and between 12 and 36 h, CysC (0.88), NGAL (0.85), and IL-18 (0.94) had utility. With eGFR >60 ml/min, GGT (0.73), CysC (0.68), and NGAL (0.68) had the highest AUCs within 6 h of injury, and between 6 and 12 h, all AUCs except AP were between 0.68 and 0.78. Beyond 12 h, NGAL (0.71) and KIM-1 (0.66) performed best. Thus, the duration of injury and baseline renal function should be considered in evaluating biomarker performance to diagnose AKI.


Toxicology | 2008

Biomarkers of nephrotoxic acute kidney injury

Michael A. J. Ferguson; Vishal S. Vaidya; Joseph V. Bonventre

Acute kidney injury (AKI) is a common condition with significant associated morbidity and mortality. Epidemiologic data suggest that a significant proportion of AKI cases is at least partially attributable to nephrotoxin exposure. This is not surprising given intrinsic renal susceptibility to toxicant-induced injury, a consequence of the unique physiologic and biochemical properties of the normally functioning kidney. A number of pathophysiologic mechanisms have been identified that mediate toxic effects on the kidney, resulting in a variety of clinical syndromes ranging from subtle changes in tubular function to fulminant renal failure. Unfortunately, standard metrics used to diagnose and monitor kidney injury, such as blood urea nitrogen and serum creatinine, are insensitive and nonspecific, resulting in delayed diagnosis and intervention. Considerable effort has been made to identify biomarkers that will allow the earlier diagnosis of AKI. Further characterization of these candidate biomarkers will clarify their utility in the setting of acute nephrotoxicity, define new diagnostic and prognostic paradigms for kidney injury, facilitate clinical trials, and lead to novel effective therapies.


Kidney International | 2009

A rapid urine test for early detection of kidney injury

Vishal S. Vaidya; Glen M. Ford; Sushrut S. Waikar; Yizhuo Wang; Matthew Clement; Victoria Ramírez; Warren E. Glaab; Sean P. Troth; Frank D. Sistare; Walter C. Prozialeck; Joshua R. Edwards; Norma A. Bobadilla; Stephen C. Mefferd; Joseph V. Bonventre

Kidney injury molecule-1 (Kim-1) has been qualified by the Food and Drug Administration and European Medicines Agency as a highly sensitive and specific urinary biomarker to monitor drug-induced kidney injury in preclinical studies and on a case-by-case basis in clinical trials. Here we report the development and evaluation of a rapid direct immunochromatographic lateral flow 15-min assay for detection of urinary Kim-1 (rat) or KIM-1 (human). The urinary Kim-1 band intensity using the rat Kim-1 dipstick significantly correlated with levels of Kim-1 as measured by a microbead-based assay, histopathological damage, and immunohistochemical assessment of renal Kim-1 in a dose- and time-dependent manner. Kim-1 was detected following kidney injury induced in rats by cadmium, gentamicin, or bilateral renal ischemia/reperfusion. In humans, the urinary KIM-1 band intensity was significantly greater in urine from patients with acute kidney injury than in urine from healthy volunteers. The KIM-1 dipstick also enabled temporal evaluation of kidney injury and recovery in two patients who developed postoperative acute kidney injury following cytoreductive surgery for malignant mesothelioma with intraoperative local cisplatin administration. We hope that future, more extensive studies will confirm the utility of these results, which show that the Kim-1/KIM-1 dipsticks can provide a sensitive and accurate detection of Kim-1/KIM-1, thereby providing a rapid diagnostic assay for kidney damage and facilitating the rapid and early detection of kidney injury in preclinical and clinical studies.


Heart | 2010

Tubular damage in chronic systolic heart failure is associated with reduced survival independent of glomerular filtration rate

Kevin Damman; Dirk J. van Veldhuisen; Gerjan Navis; Vishal S. Vaidya; Tom D.J. Smilde; B. Daan Westenbrink; Joseph V. Bonventre; Adriaan A. Voors; Hans L. Hillege

Background The prognostic impact of reduced glomerular filtration rate (GFR) in chronic heart failure (CHF) is increasingly recognised, but little is known about tubular damage in these patients. Objective To investigate the prevalence of tubular damage, and its association with GFR, and prognosis in patients with CHF. Methods and results In 90 patients with CHF, GFR and effective renal plasma flow (ERPF) were measured ([125I]iothalamate and [131I]hippuran clearances). The tubular markers neutrophil gelatinase-associated lipocalin (NGAL), N-acetyl-β-D-glucosaminidase (NAG) and kidney injury molecule 1 (KIM-1) as well as urinary albumin excretion were determined in 24 h urine collections. Mean GFR was 78±26 ml/min/1.73 m2. Urinary NGAL (175 (70–346) μg/g creatinine (gCr)), NAG (12 (6–17) U/gCr) and KIM-1 (277 (188–537) ng/gCr) levels were increased compared with 20 healthy controls (all p<0.001). Urinary NAG, but not NGAL or KIM-1 correlated with GFR (r=−0.34, p=0.001) and ERPF (r=−0.29, p=0.006). Both NAG (r=0.21, p=0.048) and KIM-1 (r=0.23, p=0.033) correlated with plasma N-terminal pro-brain natriuretic peptide levels. Both urinary KIM-1 (HR=1.15 (95% CI 1.02 to 1.30) per 100 ng/gCr increase, p=0.025) and NAG (HR=1.42 (95% CI 1.02 to 1.94) per 5 U/gCr increase, p=0.039), were associated with an increased risk of death or heart failure hospitalisations, independent of GFR. Conclusion Tubular damage, as indicated by increased urinary concentrations of NGAL, NAG and KIM-1 is common in patients with CHF and mildly reduced GFR. Both urinary KIM-1 and NAG showed prognostic information additional to GFR. These findings suggest an important role for tubular damage and tubular markers in cardiorenal interaction in heart failure.

Collaboration


Dive into the Vishal S. Vaidya's collaboration.

Top Co-Authors

Avatar

Joseph V. Bonventre

Brigham and Women's Hospital

View shared research outputs
Top Co-Authors

Avatar

Sushrut S. Waikar

Brigham and Women's Hospital

View shared research outputs
Top Co-Authors

Avatar

Amrendra Kumar Ajay

Brigham and Women's Hospital

View shared research outputs
Top Co-Authors

Avatar

Harihara M. Mehendale

University of Louisiana at Monroe

View shared research outputs
Top Co-Authors

Avatar

Vanesa Bijol

Brigham and Women's Hospital

View shared research outputs
Top Co-Authors

Avatar

Peter L. Goering

Center for Devices and Radiological Health

View shared research outputs
Top Co-Authors

Avatar

Kartik Shankar

University of Arkansas for Medical Sciences

View shared research outputs
Top Co-Authors

Avatar

Ronald P. Brown

Center for Devices and Radiological Health

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Florin L. Craciun

Brigham and Women's Hospital

View shared research outputs
Researchain Logo
Decentralizing Knowledge