Evaluation of KIM-1 as an early biomarker of snakebite-induced AKI in mice

Dantas, Rodrigo Tavares; Sampaio, Tiago Lima; Lima, Dânya Bandeira; Menezes, Ramon Róseo Paula Pessoa Bezerra de; Canuto, Jáder Almeida; Toyama, Marcos H.; Evangelista, Janaína Serra Azul Monteiro; Martins, Alice Maria Costa

doi:10.1016/j.toxicon.2018.06.074

Cited by 9 publications

(9 citation statements)

References 27 publications

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“…Currently, serum Cr, serum Bun, and urine volume are used to evaluate kidney function. However, these indices are extremely limited for the early diagnosis of kidney injury [28] and are easily affected by some nonrenal factors [29]. Serum CYS-C is a cysteine proteinase enzyme inhibitor, and it has low molecular weight and does not bind to proteins.…”

Section: Discussionmentioning

confidence: 99%

Baseline Serum Cystatin C Is a Potential Predictor for Acute Kidney Injury in Patients with Acute Pancreatitis

et al. 2018

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Aims The study is aimed at studying the incidence of acute kidney injury (AKI) and exploring the potential predictor for AKI in patients with acute pancreatitis. Methods A retrospective study adopting a stratified cohort sampling design was performed in a cohort of patients (n = 237) diagnosed with acute pancreatitis without any renal injury. The following information including age, gender, serum creatinine, serum urea nitrogen, serum uric acid, serum cystatin C, fasting serum glucose, serum amylase, serum lipase, serum choline esterase, total protein, albumin, globulin, total bilirubin, direct bilirubin, total bile acids, glutamic-pyruvic transaminase, glutamic-oxaloacetic transaminase, gamma glutamyl transpeptidase, and alkaline phosphatase were collected from each patient when they were diagnosed with acute pancreatitis. Student t-test was conducted to figure out the difference between patients with and without AKI. Univariate and multivariate logistic regression analyses were used for investigating the predictors for AKI in patients with acute pancreatitis. Results 18 (7.6%) patients in total had developed AKI among the study group. Compared with patients without AKI (1.01 ± 0.26 mg/L), the level of baseline serum cystatin C (CYS-C) was significantly higher in patients with AKI (3.64 ± 2.17 mg/L, P < 0.001). Baseline serum CYS-C (OR = 203.594, P < 0.001) was the independent and significant predictor for AKI in patients with acute pancreatitis. AKI in patients with acute pancreatitis could be identified with a sensitivity of 88.9% at specificity of 100% (AUC = 0.948, 95% CI 0.879–1.000) by baseline serum CYS-C (cut-off value = 1.865 mg/L). Conclusions Baseline serum CYS-C shall be adopted to predict the potential risk of AKI in patients with acute pancreatitis.

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Section: Discussionmentioning

confidence: 99%

Baseline Serum Cystatin C Is a Potential Predictor for Acute Kidney Injury in Patients with Acute Pancreatitis

et al. 2018

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“…They found significant correlation between AKI stages with the above biomarker levels. Dantas et al demonstrated the rise of urinary kidney injury molecule 1 (KIM-1) in mice within 24 h of envenomation even before the rise of creatinine or any pathological changes in kidney tissue [30]. Further studies are required to check applicability and utility of these biomarkers in real-life clinical settings of snake bite envenomation.…”

Section: Early Prediction Of Snake Envenomation Akimentioning

confidence: 99%

Snake bite associated with acute kidney injury

et al. 2021

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Acute kidney injury (AKI) is a well-known life-threatening systemic effect of snake envenomation which commonly happens secondary to snake bites from families of Viperidae and Elapidae. Enzymatic toxins in snake venom result in injuries to all kidney cell types including glomerular, tubulo-interstitial and kidney vasculature. Pathogenesis of kidney injury due to snake envenomation includes ischaemia secondary to decreased kidney blood flow caused by systemic bleeding and vascular leakage, proteolytic degradation of the glomerular basement membrane by snake venom metalloproteinases (SVMPs), deposition of microthrombi in the kidney microvasculature (thrombotic microangiopathy), direct cytotoxic action of venom, systemic myotoxicity (rhabdomyolysis) and accumulation of large amounts of myoglobin in kidney tubules. Clinical features of AKI include fatigue, loss of appetite, headache, nausea, vomiting, oliguria and anuria. Monitoring of blood pressure, fluid balance, serum creatinine, blood urea nitrogen and serum electrolytes is useful in managing AKI induced by snake envenomation. Early initiation of anti-snake venom and early diagnosis of AKI are always desirable. Biomarkers which will help in early prediction of AKI are being explored, and current studies suggest that urinary clusterin, urinary neutrophil gelatinase-associated lipocalin, and serum cystatin C may play an important clinical role in the future. Apart from fluid and electrolyte management, kidney support including early and prompt initiation of kidney replacement therapy when indicated forms the bedrock in managing snake biteassociated AKI. Long-term follow-up is important because of chances of progression towards CKD.

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“…Hwang characterized the proteins in human urinary exosomes through LC-MS technology and found that the proteome in the DKD group and the healthy control group had significantly different levels of expression [9]. Dantas et al analyzed the kidney tissue proteins of early DKD rats and found that calmodulin (CaM) and senescence marker protein (SMP) were significantly downregulated compared with healthy controls [10]. Lippi et al used ESI-Q-TOF MS/MS technology to screen and found proteins that were significantly upregulated and downregulated in the development stage of DKD compared with control samples [11].…”

Section: Introductionmentioning

confidence: 99%

Value Analysis of Using Urinary Microalbumin in Artificial Intelligence Medical Institutions to Detect Early Renal Damage in Diabetes

Lin

Guo

2021

Journal of Healthcare Engineering

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As the scale and depth of artificial intelligence network models continue to increase, their accuracy in albumin recognition tasks has increased rapidly. However, today’s small medical datasets are the main reason for the poor recognition of artificial intelligence techniques in this area. The sample size in this article is based on the data analysis and research on urine albumin detection of diabetes in the EI database. It is assumed that the observation group has at least 20 mg UAER difference from the control group, and the standard deviation of the UAER change from baseline to 12 weeks is 30 mg. Therefore, the sample size of the two groups is 77 cases. Assuming that the rate of loss to follow-up during the follow-up period is 20%, at least 92 patients are needed. The final enrollment in this study is 100 patients. Studies have shown that DR is used as an indicator to diagnose NDRD, and its OR value is as high as 28.198, indicating that non-DR can be used as an indicator to distinguish DN from NDRD. The meta-analysis found that DR has a sensitivity of 0.65 and a specificity of 0.75 in distinguishing DN from NDRD in patients with type 2 diabetes, and it is emphasized that PDR is highly specific in the diagnosis of DN. Using a meta-analysis to systematically analyze 45 studies, it was found that the sensitivity of DR to diagnose DN was 0.67, the specificity was 0.78, and the specificity of PDR to predict DN was 0.99, indicating that DR is a good indicator for predicting DN, and the team’s latest research has also verified this point of view. They have established a new model for diagnosing DN. In addition to including traditional proteinuria, glycosylated hemoglobin, FR, blood pressure, and other indicators into the diagnostic model, it will also include the presence or absence of DR. The final external verification accuracy rate of this model is 0.875.

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Evaluation of KIM-1 as an early biomarker of snakebite-induced AKI in mice

Cited by 9 publications

References 27 publications

Baseline Serum Cystatin C Is a Potential Predictor for Acute Kidney Injury in Patients with Acute Pancreatitis

Baseline Serum Cystatin C Is a Potential Predictor for Acute Kidney Injury in Patients with Acute Pancreatitis

Snake bite associated with acute kidney injury

Value Analysis of Using Urinary Microalbumin in Artificial Intelligence Medical Institutions to Detect Early Renal Damage in Diabetes

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