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10.1371/journal.pone.0133417 http://scihub22266oqcxt.onion/10.1371/journal.pone.0133417 C4506142!4506142!26186708     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2015 ; 10 (7): ä Nephropedia Template TP {{tp|p=26186708|t=2015. Nanoparticle Detection of Urinary Markers for Point-of-Care Diagnosis of Kidney Injury |pdf=|usr=}}{{26186708}} gab.com Text Nanoparticle Detection of Urinary Markers for Point-of-Care Diagnosis of Kidney Injury JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26186708 #FOAvip The high incidence of acute and chronic kidney injury due to various environmental factors such as heavy metals or chemicals has been a major problem in developing countries. However, the diagnosis of kidney injury in these areas can be more challenging due to the lack of highly sensitive and specific techniques that can be applied in point-of-care settings. To address this, we have developed a technique called ?micro-urine nanoparticle detection (?UNPD)?, that allows the detection of trace amounts of molecular markers in urine. Specifically, this technique utilizes an automated on-chip assay followed by detection with a hand-held device for the read-out. Using the ?UNPD technology, the kidney injury markers KIM-1 and Cystatin C were detected down to concentrations of 0.1 ng/ml and 20 ng/ml respectively, which meets the cut-off range required to identify patients with acute or chronic kidney injury. Thus, we show that the ?UNPD technology enables point of care and non-invasive detection of kidney injury, and has potential for applications in diagnosing kidney injury with high sensitivity in resource-limited settings. Twit Text FOAVip Nanoparticle Detection of Urinary Markers for Point-of-Care Diagnosis of Kidney Injury ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=26186708 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26186708 #FOAvip English Wikipedia <ref>{{Cite pmid|26186708}}</ref> Nanoparticle Detection of Urinary Markers for Point-of-Care Diagnosis of Kidney Injury #MMPMID26186708 Chung HJ; Pellegrini KL; Chung J; Wanigasuriya K; Jayawardene I; Lee K; Lee H; Vaidya VS; Weissleder R PLoS One 2015[]; 10 (7): ä PMID26186708show ga The high incidence of acute and chronic kidney injury due to various environmental factors such as heavy metals or chemicals has been a major problem in developing countries. However, the diagnosis of kidney injury in these areas can be more challenging due to the lack of highly sensitive and specific techniques that can be applied in point-of-care settings. To address this, we have developed a technique called ?micro-urine nanoparticle detection (?UNPD)?, that allows the detection of trace amounts of molecular markers in urine. Specifically, this technique utilizes an automated on-chip assay followed by detection with a hand-held device for the read-out. Using the ?UNPD technology, the kidney injury markers KIM-1 and Cystatin C were detected down to concentrations of 0.1 ng/ml and 20 ng/ml respectively, which meets the cut-off range required to identify patients with acute or chronic kidney injury. Thus, we show that the ?UNPD technology enables point of care and non-invasive detection of kidney injury, and has potential for applications in diagnosing kidney injury with high sensitivity in resource-limited settings. äNanoparticle Detection of Urinary Markers for Point-of-Care Diagnosis (epmc).pdf DeepDyve Pubget Overpricing