Potential diagnostic biomarkers for chronic kidney disease of unknown etiology (CKDu) in Sri Lanka: a pilot study

Saravanabavan, Sayanthooran; Magana-Arachchi, Dhammika; Gunerathne, Lishanthe; Abeysekera, Tilak

doi:10.1186/s12882-017-0440-x

Cited by 37 publications

(20 citation statements)

References 50 publications

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“…Nanayakkara et al (2012) indicated a tubular marker, Alpha 1 microglobulin was elevated in more than 55% of CKDu cases and sensitive marker for early diagnosis and screening [30] and some studies have been described other interstitial nephropathies [31,32]. There were several studies investigating the effectiveness of tubular markers, including KIM1 and NGAL for screening and diagnosis of CKDu [30,[33][34][35]. Even though tubular manifestations like hypokalaemia, hyperuricaemia, renal tubular acidosis, have been described in CKDu [36].…”

Section: Plos Onementioning

confidence: 99%

Evaluation of biochemical profile of Chronic Kidney Disease of uncertain etiology in Sri Lanka

et al. 2020

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Chronic Kidney Disease of uncertain etiology (CKDu) is an endemic, disease that mostly affects young agricultural workers in the rural dry zone of Sri Lanka. This study was designed to identify specific biochemical manifestations of CKDu cases. All (119) nondialysis definite CKDu patients in Girandurukotte and Wilgamuwa were selected. Blood and urine samples were collected and measured biochemical parameters. All analyses were performed in IBM SPSS statistics version 23 (IBM Corp, USA). The median blood pressure was normal though nearly half of the patients (45.4%) who were in the advanced stages (Stage 3b, 4 and 5) of CKDu. Patients without a history of hypertension before the diagnosis of CKDu (100%) and minimal proteinuria (26%) are similar to the previous findings. Patients without a history of diabetes before the CKDu diagnosis had high percentages of diabetes (15.7%) and pre-diabetes (59.8%) and hence indicated the possibility of uremia induced impaired glucose intolerance in the rural areas of the country. There were 62.2% patients who had low vitamin D and only a minority had evidence of bone mineral diseases. Out of liver disease markers serum glutamic pyruvic transaminases (SGPT), serum glutamic oxaloacetic transaminases (SGOT), gamma-glutamyl transferase (GGT), and Lactic acid degydrogenase (LDH) had an inverse correlation with the advancement of the disease indicating subclinical liver disease. Osmolality in serum and urine showed a discrepancy despite > 50% of CKDu patients had increased their serum osmolality. The current study supports most of the previously described manifestations of CKDu. Moreover, some specific patterns have been identified which need to be validated in a larger group.

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Section: Plos Onementioning

confidence: 99%

Evaluation of biochemical profile of Chronic Kidney Disease of uncertain etiology in Sri Lanka

et al. 2020

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“…Kidney injury molecule-1 (T-cell immunoglobulin; mucin-containing molecule) is a type 1 trans-membrane protein [ 56 ]. KIM-1 has been shown to be up-regulated in dedifferentiated proximal tubule epithelial cells in kidney after ischemic or toxic injury [ 57 , 58 ]. It is not detected in healthy kidneys nor in urine.…”

Section: Kidney Injury Molecule-1 (Kim-1)mentioning

confidence: 99%

Novel Biomarkers in the Diagnosis of Chronic Kidney Disease and the Prediction of Its Outcome

Rysz

Gluba-Brzózka²,

Franczyk

et al. 2017

IJMS

221

154

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In its early stages, symptoms of chronic kidney disease (CKD) are usually not apparent. Significant reduction of the kidney function is the first obvious sign of disease. If diagnosed early (stages 1 to 3), the progression of CKD can be altered and complications reduced. In stages 4 and 5 extensive kidney damage is observed, which usually results in end-stage renal failure. Currently, the diagnosis of CKD is made usually on the levels of blood urea and serum creatinine (sCr), however, sCr has been shown to be lacking high predictive value. Due to the development of genomics, epigenetics, transcriptomics, proteomics, and metabolomics, the introduction of novel techniques will allow for the identification of novel biomarkers in renal diseases. This review presents some new possible biomarkers in the diagnosis of CKD and in the prediction of outcome, including asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), uromodulin, kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), miRNA, ncRNA, and lincRNA biomarkers and proteomic and metabolomic biomarkers. Complicated pathomechanisms of CKD development and progression require not a single marker but their combination in order to mirror all types of alterations occurring in the course of this disease. It seems that in the not so distant future, conventional markers may be exchanged for new ones, however, confirmation of their efficacy, sensitivity and specificity as well as the reduction of analysis costs are required.

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“…Chronic kidney disease (CKD) is a global public health problem (1,2), that increasing rapidly worldwide and is gaining much attention in both the developed as well as developing countries (3,4). It is found in 10% of the global population (5,6), and it affects 10-16% of the adult population in China, Asia, Australia, Europe and the United States (7).…”

Section: Introductionmentioning

confidence: 99%

Obese First degree relatives of hemodialysis patients are at Higher Risk for Developing Kidney Diseases: In a Cross-sectional Study

Elemam

2019

SJMS

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Background: Previously, it has been demonstrated that obesity is one of the strongest risk factors for incident chronic kidney diseases (CKDs). Currently, we examine the association between Body mass index (BMI) and CKD in first degree relatives (FDRs) of renal failure patients on hemodialysis. Materials and methods: In a cross-sectional study, 135 FDRs of end-stage renal disease (ESRD) patients on hemodialysis were included. Serum creatinine, uric acid, calcium, phosphate, and alkaline phosphatase were measured. Glomerular filtration rate (e-GFR) and albumin to creatinine ratio (ACR) were estimated. The height in Cm, weight in Kg was measured, and the BMI was calculated. Results: Females 64% were found to have a higher frequency than males 36%. The frequency of BMI categories was found to be 26.7% obese, 26.7% overweight, and 46.6. % normal weight. The mean BMI was (26.0 ± 6.62). The prevalence of CKDs is 19.3% among relatives. CKDs were more frequent 42.3 % in obese, followed by 30.8 % in overweight and 26.9% in normal-weight relatives. Obese and overweight relatives have significantly higher ACR than normal weight (P= 0.012). GFR found to be significantly higher in obese and overweight relatives than normal weight (P = 0.000). GFR was negatively correlated with BMI (R = - 0.430, P = 0.000). Conclusion: Obese and overweight RF relatives had higher ACR and lower eGFR. Therefore, obese and overweight members are at higher risk of developing CKD. Keywords: CKDs, Family members, BMI, Obesity, ACR, eGFR. Corresponding author: Abozaid Mohammed Hamid, email: elemam69@hotmail.com

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Potential diagnostic biomarkers for chronic kidney disease of unknown etiology (CKDu) in Sri Lanka: a pilot study

Cited by 37 publications

References 50 publications

Evaluation of biochemical profile of Chronic Kidney Disease of uncertain etiology in Sri Lanka

Evaluation of biochemical profile of Chronic Kidney Disease of uncertain etiology in Sri Lanka

Novel Biomarkers in the Diagnosis of Chronic Kidney Disease and the Prediction of Its Outcome

Obese First degree relatives of hemodialysis patients are at Higher Risk for Developing Kidney Diseases: In a Cross-sectional Study

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