Literature DB >> 20450259

Cystatin C, a novel urinary biomarker for sensitive detection of acute kidney injury during haemorrhagic fever with renal syndrome.

Ying Ma1, Qi Li, Jiuping Wang, Zhuwei Xu, Chaojun Song, Ran Zhuang, Kun Yang, Angang Yang, Boquan Jin.   

Abstract

To explore the value of cystatin C for evaluating acute kidney injury (AKI) in haemorrhagic fever with renal syndrome (HFRS), the concentrations of cystatin C in serum and urine samples from HFRS patients were determined. The serum and urinary cystatin C concentrations significantly increased in HFRS patients compared with normal controls (p < 0.001). In the acute phase of HFRS, urinary cystatin C increased to higher levels than serum creatinine, especially in severe or critical cases in the oliguric stage. Furthermore, higher levels of urinary cystatin C in the acute phase positively correlated with increased severity of the subsequent kidney injury. In conclusion, urinary cystatin C is a more sensitive clinical marker for AKI in HFRS, which may enable us to initiate treatment measures as early as possible.

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Year:  2010        PMID: 20450259     DOI: 10.3109/1354750X.2010.482214

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  7 in total

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2.  Renal cortical albumin gene induction and urinary albumin excretion in response to acute kidney injury.

Authors:  Lorraine B Ware; Ali C M Johnson; Richard A Zager
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Journal:  BMJ Open       Date:  2021-02-18       Impact factor: 2.692

5.  Detection of cystatin C biomarker for clinical measurement of renal disease by developed ELISA diagnostic kits.

Authors:  Renren Jiang; Chao Xu; Xiaoli Zhou; Tianhao Wang; Gang Yao
Journal:  J Transl Med       Date:  2014-09-12       Impact factor: 5.531

6.  Assessment of potential predictors of calretinin and mesothelin to improve the diagnostic performance to detect malignant mesothelioma: results from a population-based cohort study.

Authors:  Swaantje Casjens; Daniel G Weber; Georg Johnen; Irina Raiko; Dirk Taeger; Carmen Meinig; Susanne Moebus; Karl-Heinz Jöckel; Thomas Brüning; Beate Pesch
Journal:  BMJ Open       Date:  2017-10-11       Impact factor: 2.692

7.  Development and validation of a nomogram for predicting severity in patients with hemorrhagic fever with renal syndrome: A retrospective study.

Authors:  Zheng Yang; Qinming Hu; Zhipeng Feng; Yi Sun
Journal:  Open Med (Wars)       Date:  2021-06-25
  7 in total

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