Amarnath Singh1, Ritul Kamal2, Ratnakar Tiwari3, Vivek Kumar Gaur4, Vipin Bihari2, G N V Satyanarayana5, Devendra Kumar Patel6, Parappurath Abdul Azeez7, Vikas Srivastava8, Afzal Ansari2, Chandrasekharan Nair Kesavachandran9. 1. Epidemiology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Department of Biochemistry, Babu Banarasi Das University, BBD City, Faizabad Road, Lucknow 226028, Uttar Pradesh, India. 2. Epidemiology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India. 3. Devlopmental Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Department of Biochemistry, Babu Banarasi Das University, BBD City, Faizabad Road, Lucknow 226028, Uttar Pradesh, India. 4. Environmental Biotechnology Laboratory, Environmental Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India. 5. Analytical Chemistry Laboratory, Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Department of Chemistry, Babu Banarasi Das University, BBD City, Faizabad Road, Lucknow 226028, Uttar Pradesh, India. 6. Analytical Chemistry Laboratory, Regulatory Toxicology Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India. 7. SalimAli Centre for Ornithology and Natural History, Anaikatty, Coimbatore, 641108, Tamil Nadu, India. 8. Devlopmental Toxicology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India. 9. Epidemiology Laboratory, Systems Toxicology and Health Risk Assessment Group, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhavan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India. Electronic address: ckchandran@iitr.res.in.
Abstract
BACKGROUND: To study the association between kidney injury biomarkers and urinary OH-PAH metabolites in kitchen workers, with microalbuminuria. METHODS: A cross-sectional pilot study was conducted among 120 male kitchen workers in a mega kitchen located at Coimbatore, India. Personal and sub-clinical details of study subjects were collected using a questionnaire. Albumin, creatinine, and albumin-creatinine ratio (ACR) were measured using urine dipstick test for the determination of microalbuminuria. Urinary hydroxylated PAHs metabolites (1-NAP, 9-HF, 3-HF, 2-HF, 9-PHN, and 1-OHP) were measured using GC-MS/MS and urinary kidney biomarkers (uNGAL, uCyst-C, uKIM-1, uOPN, and uTIMP-1) were measured using Multiplex Reader. RESULTS: Concentrations of urinary PAHs metabolites (1-NAP, 3-HF, 2-HF, 9-PHN, and 1-OHP) and kidney biomarkers (uKIM-1, uTIMP-1, uCyst-C and uNGAL) were significantly higher among kitchen workers with MAU compared to non-kitchen workers with MAU. Urinary kidney biomarkers viz., uKIM-1, uTIMP-1, uCyst-C, uNGAL, and uOPN showed higher median concentration among the kitchen workers with MAU compared to kitchen workers without MAU. Significant positive correlation was observed for 9-HF with uKIM-1 and uTIMP-1 and 1-OHP with uKIM-1. ACR was also well correlated with urinary kidney biomarkers. ROC analysis showed higher sensitivity and specificity for uKIM-1, uCyst-C, and uNGAL as biomarkers for early prediction of acute kidney injury among kitchen workers. CONCLUSIONS: The PAHs exposure among kitchen workers can lead to kidney injury. This was evident from the association of OH-PAHs and kidney injury biomarkers in kitchen workers with microalbuminuria.
BACKGROUND: To study the association between kidney injury biomarkers and urinary OH-PAH metabolites in kitchen workers, with microalbuminuria. METHODS: A cross-sectional pilot study was conducted among 120 male kitchen workers in a mega kitchen located at Coimbatore, India. Personal and sub-clinical details of study subjects were collected using a questionnaire. Albumin, creatinine, and albumin-creatinine ratio (ACR) were measured using urine dipstick test for the determination of microalbuminuria. Urinary hydroxylated PAHs metabolites (1-NAP, 9-HF, 3-HF, 2-HF, 9-PHN, and 1-OHP) were measured using GC-MS/MS and urinary kidney biomarkers (uNGAL, uCyst-C, uKIM-1, uOPN, and uTIMP-1) were measured using Multiplex Reader. RESULTS: Concentrations of urinary PAHs metabolites (1-NAP, 3-HF, 2-HF, 9-PHN, and 1-OHP) and kidney biomarkers (uKIM-1, uTIMP-1, uCyst-C and uNGAL) were significantly higher among kitchen workers with MAU compared to non-kitchen workers with MAU. Urinary kidney biomarkers viz., uKIM-1, uTIMP-1, uCyst-C, uNGAL, and uOPN showed higher median concentration among the kitchen workers with MAU compared to kitchen workers without MAU. Significant positive correlation was observed for 9-HF with uKIM-1 and uTIMP-1 and 1-OHP with uKIM-1. ACR was also well correlated with urinary kidney biomarkers. ROC analysis showed higher sensitivity and specificity for uKIM-1, uCyst-C, and uNGAL as biomarkers for early prediction of acute kidney injury among kitchen workers. CONCLUSIONS: The PAHs exposure among kitchen workers can lead to kidney injury. This was evident from the association of OH-PAHs and kidney injury biomarkers in kitchen workers with microalbuminuria.
Authors: Marta Oliveira; Sílvia Capelas; Cristina Delerue-Matos; Simone Morais Journal: Int J Environ Res Public Health Date: 2020-12-30 Impact factor: 3.390