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SM Journal of Nephrology and Kidney Diseases

A Cross-Sectional Survey of Estimated Glomerular Filtration Rate, Acid-Base Balance and Electrolyte Status among Workers Exposed to Petroleum Products

[ ISSN : 2576-5450 ]

Abstract Citation Introduction Methods Statistical Analyses Results Discussion Conclusion References
Details

Received: 30-Oct-2017

Accepted: 13-Nov-2017

Published: 17-Nov-2017

Christopher E Ekpenyong* and Mbiata Abasi E Inyang

Department of Physiology, University of Uyo, Nigeria

Corresponding Author:

Christopher E Ekpenyong, Department of Physiology, University of Uyo, Nigeria, Tel: +2348023347719, +2348067548487; Email(s): chrisvon200@yahoo.com (or) chrisvon300@yahoo.com

Keywords

Hydrocarbon; Exposure; Toxicity; Kidney; Blood cell; Workers

Abstract

Aim: To investigate the effect of exposure to petroleum products on eGFR, acid-base balance and electrolyte homeostasis among gasoline station workers in Uyo, Southeastern Nigeria.

Methods: A cross-sectional study was performed on 68 (38 exposed and 30 unexposed) gasoline station workers who met the inclusion criteria. The instruments of survey included a semi-structured questionnaire, anthropometric measures and biochemical markers of renal function and hematological indices assessment. Values in the exposed group were compared to the corresponding values in the unexposed group.

Results: Serum anion gap, Cr, Ur, K+ and urinary excretion of electrolytes (Na+ and K+) and urea increased significantly (p<0.01), while eGFR, Cl- and pH levels decreased significantly in the exposed subjects compared to the corresponding level in the unexposed subjects.

Urinary Cr and HCO3- significantly decreased in male and female subjects respectively, but the decrease in pH did not reach statistical significance, while urinary K+ and UAG significantly increased only in exposed female subjects. Red blood cell indices (PCV, HB, MCH, MCHC, MCV and total RBC) and EOS counts significantly decreased and increased in male and female subjects, respectively.

Conclusion: Long-term exposure to petroleum products may be associated with significant decrease in eGFR, normal serum AG, positive urinary AG, azotemia and urinary excretion of electrolytes and hematotoxicity. Intervention programs to limit exposure and /or protect exposed workers against the potential detrimental effects of petroleum compounds on renal endpoints across different petro-chemical industries are strongly recommended.

Citation

Ekpenyong CE and Inyang MAE. A Cross-Sectional Survey of Estimated Glomerular Filtration Rate, Acid-Base Balance and Electrolyte Status among Workers Exposed to Petroleum Products. J Nephrol Kidney Dis. 2017; 1(2): 1008.

Introduction

Incidence of kidney diseases leading to kidney failure is increasing [1]. Kidney failure is a growing burden in terms of quality of life, morbidity, mortality and economy. Many factors contribute to the development of kidney disease worldwide including occupational exposure to solvents such as gasoline [2-7]. Gasoline (petrol) is a fractionated product of crude petroleum and has a mixture of over 500 saturated and unsaturated hydrocarbons [8] that typically contain between 3-12 carbons per molecule [9]. It is a complex, volatile and flammable liquid used extensively as fuel for automobiles and as industrial solvent, pesticide and cleansing agent [10].

Evidence accumulated has shown that people can be occupationally exposed to toxic gasoline constituents with resultant adverse health outcomes. Petroleum products retailing is an example of an occupation that exposes its workers to having a direct contact with significant quantity of gasoline constituents per unit time through inhalation, dermal or accidental ingestion. However, inhalation route poses a more serious public health hazard due to the high accessibility and excellent absorption surface of the respiratory tract that makes the constituent hydrocarbons readily absorbed by the lungs [11,12].

One study [13] showed that service station workers are exposed to gasoline inhalation many hours a week, approximately 8086 minutes per year. Besides gasoline station workers, many others are exposed to gasoline constituents during its procurement for domestic or commercial uses [14]. The frequency and amount of use of gasoline creates many potential exposures in a typical day. According to Wixton and Brown [15], about 110 million people are exposed to gasoline constituents within a few minutes per week and about 100 min/year during refueling at self- service gasoline station [9]. In terms of country ranking, United State of America tops the list of the first 10 countries regarded as the high- volume consumer of petroleum products [16], followed by Canada, Kuwait, Luxemboug, Saudi Arabia, Oman, Brunei, Qatar, Australia and New Zealand.

In Nigeria, more than 10% of the population is continuously exposed to gasoline with associated systemic adverse health effects [17]. When inhaled, vapors absorbed by the lungs are transported to the blood stream, and distributed to other organs including the kidney [2]. Human kidney receives about 20% of a cardiac output, with the largest renal blood flow (90%) perfusing the renal cortex, while the medullary zone receives approximately 10% of the renal blood supply [18].

Despite the extensive used and prolonged exposure to petroleum products, and the speculated renotoxic effects, there are no empirical data on the effect of gasoline exposure on some surrogate markers of renal endpoints including Estimated Glomerular Filtration Rate (eGFR), acid-base balance and renal handling of electrolytes and solutes. Some studies have reported significant association between exposure to gasoline and changes in serum electrolyte, urea and Creatinine (Cr) levels.

Whereas, others have found non-significant effect between exposure and serum levels of these substances, thereby making the postulated nephro-toxic effect of gasoline constituents a controversial scientific issue [19,20].

Besides these inconsistent/conflicting research findings, most of these studies made use of serum or urinary levels of these substances alone to assess the functional status of the kidney among exposed workers. This may not reflect the actual degree of renal function in some patients due to the effect of several confounding variables on serum, or urinary level of these substances including age, sex and body mass. Furthermore, most of these studies were animal based, making the results not completely applicable to humans due to the unique metabolism and distribution of some gasoline constituents (e.g., benzene) in humans, leading to increased susceptibility to the toxic effect of these constituents.

Given the drawbacks of previous studies, the present study was aimed at assessing the effect of chronic exposure to gasoline on eGFR, anion gap and urinary excretion of electrolytes and solutes among exposed gasoline station workers, which hitherto has not been studied.

Estimation of GFR using predictive formulas provides the best index of renal function assessment for diagnostic and therapeutic reasons [21]. It is of central importance in determining the degree of renal function impairment. Serum anion gap is use in the detection and analysis of acid-base disorders [22], while urinary excretion of electrolytes provides reliable index of renal handling of electrolytes and water. It relates the amount of electrolyte excreted to the amount filtered [23].

Methods

Selection of subjects

The study was a multi-site cross-sectional survey on the adverse health effect of Gasoline Vapor (GV) on the exposed gasoline station workers within Uyo metropolis. Sixty-eight gasoline station workers of the 89 workers invited to participate in the survey met the inclusion criteria and were assessed for changes in serum and urinary biomarkers of renal function. The exclusion criteria were as follows; History of kidney or liver disease, inappropriate age (<18 and >35 years), declined participation, missing information, improper completion of questionnaire, those who have worked for <1 year at the time of the survey and evidence of any metabolic syndrome clusters e.g., diabetes mellitus, hypertension, obesity and dyslipidemia. Those on medications for any of these metabolic disorders or medications known to affect renal function such as diuretics, non-steroidal anti inflammatory drugs and angiotensin converting enzyme inhibitors were also excluded. Also excluded from the study were smokers, alcohol and caffeine users. All participants who met the inclusion criteria provided an informed written consent to participate, and Institutional Ethic Committee approved the study protocol.

The study was conducted in line with the guidelines set forth in the 1964 declaration of Helsinki governing the conduct of human research.

Survey methods

Instruments of survey: Three survey instruments were used to survey the participants who had worked for at least 1 year as gasoline station operators. These included; a semi structured questionnaire adapted from previous studies [24] conducted among gasoline station workers. The questionnaire was divided into 2 sections (section 1 and 2). Section 1 contained information on the socio-demographic characteristics of the participants including age, sex, lifestyle habits, while section 2 consisted of questions aimed at obtaining information about participants past and present renal, cardiovascular and hematologic profiles.

Measurements

Anthropometric indices: Anthropometric indices of participants measured were weight and height.

Measurement of weight: Weight was measured in kilogram to the nearest 0.1kg using weighing scale (Seca Model, Germany). Prior to the measurement, participants were instructed to wear light clothing and without shoes. To maintain accuracy, the scale was adjusted to zero after each weighing prior to the next measurement and weighing was performed twice and average reading was used for statistical analysis. Errors due to parallax were minimized by placing the scale on a flat but solid surface and the reading taken vertically.

Measurement of height: The height was measured by making the subjects to stand erect against the graduated and adjustable height measuring metallic scale attached to the weighing scale. A ruler was placed on the subjects head to get the exact point on the scale. Accuracy was ensured by taking the reading without shoes and standing erect against the wall, looking straight ahead while the height was taken to the nearest 1 cm and both feet were placed closed together on a level ground.

Body mass index (BMI-Quetelets index) was calculated from the formula BMI = weight (kg)/Height (m2).

Biochemical Estimation

Twelve-hour urine sample was collected from all participants in their respective 4 liter sterile plastic containers between the hours of 7pm and 7am. The Urine Volume (UV) was measured with a calibrated cylinder. Participants were instructed to ensure accuracy in the collection of the urine sample. An aliquot of 10 ml urine was pipetted into a plain sterile bottle and centrifuged at 300 rpm at room temperature for 15 minutes.

The supernatant was diluted with a urine diluent (1:2 ratio), and samples were used for chemical analysis including urinary sodium (Na+), potassium (K+), chloride (Cl) and calcium (Ca2+) using ion selective electrolyte analyzer (Biolyte 200-Biocare corporation, Hsinchu 3000, Taiwan).

Urine and plasma pH were determined with a digital pH meter (Model E9610 Equiptronic, England). Fasting venous blood samples obtained from participants were used for analysis for some biochemical indices of renal function including urea (Ur), creatinine (Cr), hydrogen concentration (pH) and electrolytes Na+, K+, Cl- and HCO3-

Serum electrolytes (Na+ and K+) levels were determined using a flame photometer, while serum and urinary Cr levels were determined according to Jaffe kinetic method (Sigma Chemical Co. USA). Three test tubes containing standard, serum and blank, respectively were set up. The serum and standard were deproteinized with equal amount of tungstic acid. One milliliter of distilled water was added to all the test tubes after which 1 ml of Sodium Hydroxide (NaOH) and picric acid were added to the tubes. After 5 minutes, spectrophotometric reading was taken at 520 nM and the concentration of serum Cr was calculated using standard formulas.

For urine specimens, the absorbance concentration obtained was multiplied by 10.

Serum and urinary bicarbonate (HCO3 ) levels were determined by enzymatic method. Serum Urea (Ur) and Uric Acid (UA) were measured using a multichannel automated analyzer (SYNCHRON, Los Angeles, CA, USA). Urinary glucose and protein were measured by means of dipstick reagent strip (Medi-Test Combi 9-Germany).

The use of 12 h urine samples in the present study is in line with previous studies [20] that confirmed the reliability of 12 h urine samples in estimating 24 h intake/excretion of electrolytes in clinical settings [25].

Quality control measures to ensure accuracy included disqualification of urine or blood samples not properly collected, repeated analysis of stock urine or blood samples with extremes of values, using an average of two measurements for statistical analysis and cleaning and conditioning of instruments (Digital ion-selective electrolyte analyzer and pH meter) with standard commercially prepared regents every time after use.

Assessment of renal function

Creatinine clearance estimation using predictive formulas: Estimated Glomerular Filtration Rate (eGFR)/ Serum Creatinine Clearance Rate (SCrcl) was estimated using Cockcroft Gault (G-C) formula [26].

SCrcl (mL/minute) = (140-age [years]) × Weight (kg) × 0.85 (if female)/72 × Scr (mg/dL).

This was normalized per 1.73 m2 of Body Surface Area (BSA) using the formula of DuBois and DuBois [27]. This was to enable comparison with the prediction of other formulas. Also, eGFR was calculated using Modification of Diet in Renal Disease (MDRD) equation [28] represented as;

eGFR (ML/min/1.73m2)= 175 (SCr (mmol/L))-1.154 × [Age (years)]-0.203 × 1.212 (if black) × (0.742 (if female).

Estimation of acid-base status of participants (Anion gap)

Serum Anion Gap (SAG) estimation: Serum anion gap is the difference between primary measured cations (Na+ and K+) and primary measured anions (Cl- and HCO3-) in serum.

SAG was estimated using the equation = (Na+ + K+) - (Cl- + HCO3-)

Urine anion gap (UAG) was estimated using the formulaUAG = (Na+ + K+) - (Cl-)

Normal value suggests adequate excretion of NH4 + (Cl- > Na+ + K+).

Conversely, a positive value of 0 to + 50 indicates a defect in NH4 + excretion.

The hematologic parameters measured included Packed Cell Volume (PCV), Haemoglobin (HB), concentration, total Red Blood Cell (RBC) count, Mean Cell HB (MCH), Mean Cell HB Concentration (MCHC), Mean Cell Volume (MCV) and White Blood Cell (WBC) -total and differentials and platelet counts. The measurements were performed within 2 h of sample collection using the SYSMEX Kx-21 Automated Hematology Analyzer (Kobe, Japan).

Statistical Analyses

Data obtained were analyzed comparatively using frequencies, percentages, means, standard deviation and independent t-test. Frequencies and percentages were used to analyze categorical variables while quantitative variables were analyzed using means and standard deviation. Also, independent t-test was used to compare differences in serum and urinary electrolytes, red blood cell indices and white blood cell indices between the exposed and unexposed subjects.

Association between categorical variables were examined using chi-square and statistical significance was established at 5% with p<0.05. Data were analyzed using graphed prism 5.0 and Statistical Package for Social Sciences (SPSS version 20.0).

Results

This multi-site cross-sectional survey included 68 participants (38 exposed and 30 unexposed) selected from 89 subjects who were initially invited to participate in the survey, representing a response rate of 76.4%. From the data obtained, it was observed that the socio demographic variables were not significantly different between the exposed and unexposed participants (Table 1).

Table 1: Demographic characteristics of exposed and unexposed participants.

Demographic Variables Total (n=68) Exposed (n=38) Unexposed (n=30) p-value
Age (Mean ± SD) 27.00 ± 3.75 28 ± 3.44 26 ± 3.01 0.0144
Sex  
Male 41 (60.3) 22 (57.9%) 19 (63.3%) 0.837
Female 27 (39.7) 16 (42.1%) 11 (36.7%)  
Weight (kg) 61.45 ± 6.42 62 ± 4.22 60.9 ±3.84 0.6821
Height (m) 1.52 ± 0.48 1.5 ± 0.42 1.54 ± 0.21 0.6355
BMI (Mean ± SD) 26.62 ± 5.76 27.55 ± 5.22 25.68 ± 2.53 0.0764
Marital Status  
Single 55 (80.9) 29 (76.3%) 26 (86.7%)  
Married 13 (19.1) 9 (23.7%) 4 (13.3%) 0.443
Educational status  
Secondary 45 (66.2) 26 (68.4%) 19 (63.3%)  
OND/NCE 22 (32.4) 11 (28.9%) 11 (36.7%)  
HND/BS.c 1 (1.5) 1 (2.6%) 0 (0.0%) 0.559
Physical activity status  
Active        
Inactive 29 (42.6) 18 (47.4%) 11 (36.7%)  
  39 (57.4) 20 (52.6%) 19 (63.3%) 0.523
Ethnicity  
Ibibio 40 (58.8) 19 (50.0%) 21 (70.0%)  
Annang 18 (26.5) 12 (31.6%) 6 (20.0%)  
Igbo 7 (10.3) 5 (13.1%) 2 (6.7%) 0.319
Others 3 (4.4) 2 (5.3%) 1(3.3)  

Changes in serum biochemical indices of renal function in the exposed subjects significantly differed from the unexposed subjects in Cr, Urea, pH, Cl-, Na+, K+ and MDA. Specifically, serum Cr, Ur, K and MDA significantly increased in the exposed group when compared to their corresponding values in the unexposed group. Serum Cl- significantly (p<0.05) decreased in the exposed male and female subjects when compared to the value in the unexposed male and female subjects. Serum Na+ and HCO3- showed no significant change in female subjects, whereas a significant and a non-significant increase in serum Na+ and HCO3- levels respectively, were observed in male subjects. Hydrogen ion concentration increased (decreased pH) in the exposed subjects when compared to the corresponding level in the unexposed male and female subjects, but only the increase in male subjects reached statistically significant level (Table 2).

Table 2: Effect of gasoline exposure on serum electrolytes and acid-base balance of exposed workers.

  Male Female
Parameters Exposed Unexposed p-value Exposed Unexposed p-value
Creatinine (mg/dl) 94.01±0.35 79.04 ± 0.20 0.004* 92.03 ± 0.26 72.06 ± 0.15 0.0004**
Urea (mg/dl) 27.29±7.88 17.50 ± 2.91 0.0001** 26.68 ± 6.69 16.70 ± 2.26 0.0001**
Ph 7.36 ± 0.17 7.38 ± 0.06 0.0001** 7.34± 1.10 7.39± 0.18 0.3533
HCO3 (mEq/L) 25.43 ± 1.87 25.20 ± 1.55 0.5895 24.37 ± 2.29 25.30 ± 1.89 0.0775
Chloride(mEq/L) 99.57 ± 3.23 105.40 ± 10.55 0.0020** 100.37 ± 5.13 103.30 ± 4.14 0.0134*
Na (mEq/L) 136.71 ± 7.14 132.30 ± 3.13 0.0025** 134.79 ± 6.13 133.30 ± 4.14 0.2581
K (mEq/L) 4.01 ± 0.56 3.59 ± 0.30 0.0004** 4.04 ± 0.67 3.65 ± 0.30 0.0043**
Glucose(mg/dl) 91.93 ± 15.50 86.80 ± 8.30 0.1067 75.47 ± 18.25 85.90 ± 9.97 0.0065*
MDA(ng/ml) 98.78 ± 5.88 96.00 ± 2.26 0.0170* 98.53 ± 4.98 94.70 ± 1.49 0.0001**

* = significantly at 5% (p<0.05),

** = significant at 1% (p<0.01).

Table 3 shows that some urinary biochemical indices in the exposed group significantly differ from the corresponding values in the unexposed group including Cr level which significantly decreased in exposed male and female subjects, and HCO3- concentration which significantly decreased in exposed females compared to the levels in the unexposed females.

Table 3: Effect of gasoline exposure on urine electrolytes and acid-base homeostasis of exposed and unexposed workers.

  Male Female
Parameters Exposed Unexposed p-value Exposed Unexposed p-value
Creatine (mg/dl) 581.30 ± 0.16 840.50 ± 0.32 0.0001** 701.20 ± 0.19 710.30 ± 0.29 0.8709
Urea (mg/dl) 21.70 ± 2.58 24.63 ± 9.47 0.108 22.00 ± 2.11 24.27 ± 8.10 0.1401
PH 6.11 ± 0.34 7.22 ± 0.12 0.096 6.08 ± 0.21 7.14 ± 0.06 0.1346
HCO3 (mEq/L) 23.75 ± 2.87 23.50 ± 1.58 0.6575 22.00 ± 2.33 23.30 ± 1.34 0.0084**
Chloride (mEq/L) 96.88 ± 5.59 98.88 ± 2.95 0.0809 101.53 ± 6.40 103.10 ± 1.20 0.1903
Na (mEq/L) 134.25 ± 3.11 132.70 ± 3.27 0.0502 133.53 ± 9.30 132.30 ± 2.21 0.4816
K (mEq/L) 39.80 ± 0.66 36.20 ± 0.24 0.0060** 43.30 ± 0.78 37.60 ± 0.31 0.0004**

* = significantly at 5% (p<0.05),

** = significant at 1% (p<0.01).

Urinary K+ significantly increased in the exposed male and female subjects compared to the corresponding values in the unexposed male and female subjects. Also, there were non-significant increases and decreases in urinary Na+ and Ur levels respectively, in both exposed male and female subjects. The results obtained also show that PCV, HB and other red blood cell indices (MCH, MCHC, MCV and RBC) were significantly higher in the unexposed than exposed male and female subjects (Table 4).

Table 4: Effect of gasoline exposure on red blood cell indices in exposed and unexposed participants.

RBC Male Female
Indices Exposed Unexposed p-value Exposed Unexposed p-value
PCV (%) 33.65 ± 2.85 42.80 ± 3.29 0.0001** 32.31 ± 4.38 44.10 ± 3.900 0.0001**
Hb (g/dL) 13.06 ± 1.39 16.89 ± 8.48 0.078 12.91 ± 1.49 14.05 ± 0.96 0.0005**
MCH (pg) 27.47 ± 2.60 30.70 ± 3.43 0.0001** 27.13 ± 1.93 30.30 ± 2.58 0.0001**
MCHC (g/dl) 29.47 ± 5.47 33.20 ± 1.75 0.0006** 28.75 ± 5.11 33.20 ± 2.30 0.0001**
MCV (fL) 63.08 ± 5.03 84.20 ± 3.39 0.0001** 70.13 ± 13.73 82.70 ± 3.40 0.0001**
RBC (x106/µL) 4.27 ± 0.98 4.90 ± 0.57 0.0026** 4.06 ± 1.21 4.85 ± 0.47 0.0012**

* = significant at 0.05(p<0.05),

** = significant at 0.01(p<0.01).

Changes in total WBC counts and WBC lineage counts include non-significant increase and decrease in total WBC counts and NEU counts respectively, in exposed versus unexposed male and female subjects. EOS counts increased significantly in both male and female subjects. LYM counts decreased in both male and female subjects but only the decrease in male subjects reached statistical significance. MONO counts decreased in exposed male, but significantly increased in exposed female subjects (Table 5).

Table 5: Effect of gasoline exposure on white blood cell indices in exposed and unexposed participants.

WBC Male Female
Indices Exposed Unexposed p-value Exposed Unexposed p-value
WBC (x103/µL) 5.85 ± 2.77 5.20 ± 0.86 0.2203 6.69 ± 1.88 6.36 ± 1.60 0.446
LYM (%) 31.59 ± 2.87 38.40 ± 4.45 0.0001** 32.81 ± 4.71 34.80 ± 4.59 0.0849
MON (%) 3.47 ± 1.50 3.50 ± 1.35 0.9321 3.75 ± 0.93 2.90 ± 0.86 0.0003**
BAS (%) 0.00 ± 0.00 0.00 ± 0.00 0 0.00 ± 0.00 0.00 ± 0.00 0
EOS (%) 7.71 ± 1.05 2.40 ± 1.07 0.0001** 8.19 ± 0.91 2.20 ± 0.14 0.0001**
NEU (%) 51.29 ± 5.14 52.50 ± 3.81 0.2857 52.88 ± 3.46 54.30 ± 3.50 0.0993

* = significant at 5% (p<0.05),

** = significant at 1% (p<0.01).

Estimated GFR decreased significantly (p>0.05) in exposed male and female subjects using MDRD equation (Figure 1A) and C-G formula (Figure 1B).

Figure 1A: Effect of gasoline exposure on estimated Glomerular Filtration Rate (eGFR) calculation using Modification of Diet in Renal Disease (MDRD) (mL/min/1.73m). ** = significant at 0.05(p< 0.05).

Figure 1B: Effect of gasoline exposure on Estimated Glomerular Filtration Rate (eGFR) calculation using Cockcroft-Gault (C-G) formula (mL/min).

** = significant at 0.05(p<0.05)

Serum Anion Gap (SAG) significantly increased (p<0.05) in exposed male and female subjects compared to the corresponding values in the unexposed groups (Figure 2).

Figure 2: Effect of gasoline exposure on Serum Anion Gap (SAG ).

** = significant at 0.05 (p<0.05)

Also, urinary AG increased in exposed male and female subjects but the increase in male subjects did not reach a level of statistical significance (p<0.05) (Figure 3).

Figure 3: Effect of gasoline exposure on Urine Anion Gap (UAG ).

* = significant at 5% (p<0.05)

Discussion

Results of this study show that long-term exposure to gasoline compounds is a significant risk factor for renal function impairment. This notion is supported by the statistically significant decrease in eGFR, alteration in acid-base balance and excretion of electrolytes leading to disturbances in serum electrolyte levels in exposed subjects compared to the levels in the unexposed subjects.

A significant decrease in eGFR suggests renal function impairment, and in particular, impairment in its ability to excrete/regulate the waste products of metabolism (e.g., Cr, Ur, UA and BUN); and maintain electrolytes and acid-base balance as observed in the exposed versus unexposed group. Interestingly, these changes in serum biochemical markers of renal endpoints also translated to changes in urinary physiochemical characteristics including positive urinary AG, significant changes in urinary Cr, Ur and K levels in the exposed subjects compared to the corresponding levels in control subjects.

The findings of decreased eGFR, normal serum AG, positive urinary AG, azotemia, decreased serum and urinary pH in the exposed subjects compared to the corresponding values in unexposed subjects suggest normal anion gap metabolic acidosis which suggests impaired renal excretory function, and in particular impairment in excretion of ammonium ions [29].

Collectively, the present study findings are consistent with those found in literature that suggested significant association between exposure to gasoline compounds and renal diseases [30-47]. At variance with the results of the present and previous studies, other studies [48,49] failed to demonstrate/justify a significant association between exposure to some gasoline compounds (toluene, xylene and styrene) and renal function impairment. This could probably be due to the confounding effects of several covariates including methodology issues (e.g., variation in study design [46,47], genetic susceptibility, age, duration of exposure, sex differences, composition and concentration of exposed hydrocarbons [50]).

A number of mechanisms have been implicated in the pathogenesis of gasoline-induced renal function impairment including induction of Oxidative Stress (OS) [51,52], immune system dysfunction [53] and inflammation.

Following exposure, gasoline is bio-transformed into reactive metabolites which can directly impair renal function by binding covalently to renal macromolecules and leading to altered structure and biochemical function including impaired activities of some enzymes involved in homeostatic mechanisms (e.g., inhibition of sodium-potassium Adenosine Triphosphatase (Na+/K+/ATPase) activities. This enzyme system is responsible for the reabsorption of electrolytes (Na+, K+ and Cl-), H+ and water in the renal tubules. Evidently, inhibition of this system could lead to disturbances in electrolytes, water and acid-base homeostasis as observed in the present and previous studies [52]. This could provide a logical explanation for the significant increase in serum Na and K levels, anion gap and urine anion gap; and decreases in serum pH and Cl levels in the exposed compared to the corresponding values in the unexposed group.

Interestingly, it was observed that the decreases in serum and urinary pH levels did not cause any significant alteration in serum HCO3 levels. However, urinary HCO3 levels decreased in both male and female subjects, but only the decrease in female subjects reached statistical significance. These findings are indicative of the adaptive changes in renal function in response to acid insult [54]. In acidosis, the kidneys do not excrete HCO3 into urine but reabsorb all of it and even produce new HCO3 , which is added to the extracellular fluid.

The kidneys consequently reduce the extracellular fluid H+ concentration through 3 functional mechanisms; hydrogen secretion, re-absorption of filtered HCO3 and production of new HCO3. These could explain the non-significant changes in serum HCO3 levels and the decrease in urinary pH observed in the exposed subjects when compared with the unexposed subjects. The decrease in urinary pH levels in exposed subjects demonstrates the kidneys’ role in urine acidification to rid the body of excess acid load. This response includes the reduction if not the elimination of all HCO3 from the urine as well as increase in titratable acids (i.e., phosphoric acid, creatinine and uric acid) and ammonium excretion.

Alternatively, the reactive metabolites can cause Oxidative Stress (OS) and through several patho-physiological processes lead to damage in renal structures, thereby disrupting their functional integrity such as damage to the membrane lipid bilayer and proteins, causing alteration of the normal structure of renal cells and tissues.

There could be associated impairment in several renal endpoints including regulation of water and electrolyte balance, excretion of waste products of metabolism and modulation of erythropoiesis. Accordingly, Azeez et al [51] reported increased renal tissue Malondialdehyde (MDA) and decreased Glutathione (GSH), Superoxide Dismutase (SOD) and Catalase (CAT) activities of renal tissue homogenate in animals exposed to petroleum hydrocarbons.

In a previous and present study, exposure to gasoline compounds caused a significant elevation in serum MDA, an end product of lipid per oxidation and a surrogate marker for oxidative stress [52], while a corresponding decrease in oxidative stress enzyme SOD activity was observed [55].

Exposure to petroleum products has been shown to cause immune system dysfunction [53] leading to immune perturbation, induction of auto-immune reaction, accumulation of immune complexes in the kidney tissues and causing kidney damage. Other postulated mechanisms underlying gasoline compound-mediated kidney damage include β-lyase mediated bio-activation of halogenated hydrocarbons [56]. The alpha 2μ globulin-mediated pathway that leads to nephropathy in male rats has also been implicated [56]. Besides the direct nephrotoxic effects of gasoline compounds, derangement of other biochemical indices, including hematological, hormone and lipid sub-fraction, which can secondarily affect kidney function and vice versa, have also been reported. For example, excess circulating haem caused by solvent-induced rhabdomyolysis or haemolysis of red blood cells has been posited to cause acute tubular necrosis and renal failure [56]. In agreement with this hypothesis, Ngajilo and Ehrlich [57], in a recent study reported a case of rhabdomyolysis with acute tubular necrosis and renal failure in a steel water tank cleaner exposed to a mixture of organic solvents containing toluene, xylene, acetone, hexane, benzene and methylisobutyl ketone.

In addition, the presence of metabolic acidosis in the gasoline exposed workers could have secondarily contributed to the decline in renal function through stimulation of adaptive mechanisms aimed at restoring acid-base homeostasis. These mechanisms are detrimental to renal endpoints and include production of ammonia (ammoniogenesis) [58] and subsequent generation of new bicarbonate. It has been shown that ammoniogenesis leads to activation of the third component of complement (C3) through an alternative pathway, and subsequent reaction of ammonia with C3 triggers the alternative complement pathway, leading to progressive kidney damage.

Similarly, production of new bicarbonate in the kidney alkalinizes the interstitium [41], resulting in calcium (Ca2+) precipitation and causing kidney damage. Furthermore, there is increased renal endothelin-l activity and activation of the Renin-Angiotensin System (RAS). Increase RAS activity leads to increased aldosterone production. Excess aldosterone production leads to haemodynamic changes, a reduced Glomerular Filtration Rate (GFR), and by extension, a decline in other renal function.

The demonstrated ability of petroleum hydrocarbons to induce oxidative stress, inflammation, and immune system dysfunction has supported the major role of gasoline in nephrotoxicity and hematotoxicity as reported in the present and previous studies.

However, unlike the previous studies [45,50,51] the strength of the present study lies on the fact that renal function were actually measured using prediction formulas to determine eGFR, a surrogate marker of renal function. This is the most widely used method of measuring renal excretory function in routine clinical practice [25] and values correlate well with Crcl in 24h urine collection [21]. It is superior to 24h urine Crcl altogether [59]. Therefore, isolated use of serum creatinine concentration as done by previous investigators may not reflect the actual degree of renal function in some patients due to the effect of several covariates on serum Cr concentration. Also, it is observed that the inverse relationship between serum Cr and GFR is non-linear.

The significant decreases in several erythropoiesis-modulated haemocytic variables (RBC, PCV, HB, MCHC, MCH and MCV) and the non-significant changes in total WBC counts and WBC lineage cell (NEU and BASO) counts provide supportive evidence to previous studies that demonstrated a close association of exposure to gasoline compounds with haematotoxicity in humans [60].

Interestingly, the present results suggest a greater effect of gasoline-induced haematotoxicity on several erythropoiesis modulated haemocytic variables as reported previously [61]. Given the significant role of the kidney in red blood cell production, it is plausible that this function of the kidney was impaired along with other renal function and in particular, impairment in synthesis and release of Erythropoietin (EPO), an acidic glycoprotein hormone that controls erythropoiesis [62,63]. However, the bone marrow suppressive effect of gasoline constituents could have contributed to the observed changes in blood cells following exposure to gasoline compounds.

Conclusion

Indeed, exposure to petroleum products maybe associated with significant decrease in eGFR, serum and urinary pH, normal serum AG, positive urinary AG, azotemia, electrolyte abnormalities and hematotoxicity, features suggestive of renal tubular acidosis. Preventive measures to limit exposure and increase awareness of workers on the effect of exposure to petroleum products on renal endpoints are needed.

References

1. Javaid R, Aslam M, Nizami Q, Javaid R. Role of antioxidant herbal drug in renal disorders: An overview. Free Radicals and Antioxidants. 2012; 2: 2-5.

2. Farinha A, Assuncao J, Vinhas J. Renal toxicity of inhaled aliphatic hydrocarbons: A case report of chronic interstitial nephropathy. Port J nephrol Hypert. 2011; 25: 43-46.

3. Ishola AD, Arogundade FA, Sanusi AA, Akinsola A. Association of hydrocarbon exposure with glomerulonephritis in Nigerians: A case-control study. Saudi J Kidney Dis Transpl. 2006; 17: 82-89.

4. Raza H, Qureshi MM, Montague W. Alteration of glutathione, glutathione S-transferase and lipid peroxidation in muse skin and extracutaneous tissue after topical application of gasoline. Int J Biochem Cell Biol. 1995; 27: 271 277.

5. Collingwood KW, Raabe GK, Wong O. An updated cohort mortality study of workers at a northeastern United States petroleum refinery. Int Arch Occup Environ Health. 1996; 68: 277-288.

6. Borghoff SJ, Short BG, Swenberg JA. Biochemical mechanism by pathobiology of -globulin nephropathy. Annu Rev Pharmacol Toxicol. 1990; 30: 349-367.

7. Loury DJ, Smith-Oliver T, Butterworth BE. Assessment of unscheduled and replicative DNA synthesis in rat kidney cells exposed in vitro or in vivo to unleaded gasoline. Toxicol Appl Pharmacol. 1987; 87: 127-140.

8. Anderson D, Yu TW, Schmezer P. An investigation of DNA-damaging ability of benzene and metabolites in human lymphocytes, using the comet assay. Environ Mol Mutatagen. 1995; 26: 305-314.

9. Caprino L, Togna GI. Potential health effects of gasoline and its constituents: A review of current literature (1990-1997) on toxicological data. Environ Health Perspect. 1998; 106: 115-125.

10. Momoh J, Oshin TT. Severe hepatotoxicity and nephrotoxicity of gasoline (petrol) on some biochemical parameters in wistar male albino rats. American J Biochem. 2015; 5: 6-14.

11. Tardif R, Liu L, Raizenne M. Exhaled ethanol and acetaldehyde in human subjects exposed to low levels of ethanol. Inhal Toxicol. 2004; 16: 203-237.

12. Ezzat AR, Riad NHA, Fares NH, Hegazy HG, Alrefadi MA. Gasoline inhalation induces perturbation in the rat lung antioxidant defense system and tissue structure. Int J Environ Sci Eng. 2011; 1: 1-14.

13. Pranjic N, Mujagic H, Nurkic M, Karamehic J, Pavlovic S. Assessment of health effects in workers at gasoline station. Bosn J Basic Med Sci. 2002; 2: 35-45.

14. Marks PA, Seeman V. The description of personality (Abstract) Williams and Wilkins New York. 1968; 36: 57.

15. Wixtrom RN, Brown SL. Individual and population exposure to gasoline. J Expo Anal Environ Epidemiol. 1992; 2: 23-78.

16. World Bank. World Road Statistics. 2014.

17. Awodele O, Sulayman AA, Akintonwe A. Evaluation of hematological hepatic and renal function of petroleum tanker drivers in Lagos, Nigeria. Afr Health Sci. 2014; 14: 178-184.

18. Mimran A. Regulation of renal blood flow. J Cardiovasc Pharmacol. 1987; 10(suppl.5): S1-S9.

19. Mutti A, Alinovi R, Bergamaschi E, Biagini C, Cavazzini S, Franchini I, et al. Nephropathies and exposure to perchloroethylene in dry-cleaners. Lancet. 1992; 340: 189-193.

20. Ahmed-Refat AG, Hassan AA, El-laithy NS, Abdul-Latif A, Mervat MM, Reem AA. Occupational renal dysfunction among Asphalt workers in Sharhia Governorate: Epidemiology study. Zagazig J Occupaional health and Safety. 2008; 1: 32-45.

21. Traynor J, Mactier R, Geddes CG, Fox JG. How to measure renal function in clinical practice. BMJ. 2006; 333: 733-737.

22. Krant JA, Madias NE. Serum Anio Gap: its uses and limitations in clinical Medicine. Clin J AM Soc Nephrol. 2007; 2: 162-174.

23. Elisaf M, Siamopoulos KC. Fractional excretion of potassium in normal subjects and in patients with hypokalaemia. Postgrad Med J. 1995; 71: 211 212.

24. Mashael Bin-Mefrij, Suaad Alwakeel. The effect of fuel inhalation on the kidney and liver function and blood indices in gasoline station workers. Advances in Natural and Applied sciences. 2017; 11: 45-49.

25. Mill JG, da Silva ABT, Baldo MP, Molina MCB, Rodrigues SL. Correlation between sodium and potassium excretion in 24-and 12-h urine samples. Braz J Med Biol. 2012; 45: 799-805.

26. Cockcroft DW, Gault HM. Prediction of creatinine clearance from serum creatinine. Nephron. 1976; 16: 31-41.

27. DuBois D, DuBois EF. A formula to estimate the approximate surface area if height and weight are known. 1916. Ann Intern Med. 1989; 5: 303-313.

28. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: A new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999; 130: 461-470.

29. Bagga A, Sinha A. Evaluation of renal tubular acidosis. Indian Journal of Pediatrics. 2007; 74: 679-868.

30. Hotz P. Occupational hydrocarbon exposure and chronic nephropathy. Toxicology. 1994; 90: 163-283.

31. Uboh FE, Akpanabiatu MI, Alozie Y. Comparative effect of gasoline vapours on renal function in male and female Wister rats. J Pharmacol and Toxicol. 2008; 3: 478-484.

32. Yaqoob M, Bell GM, Stevenson A, Mason H, Percy DE. Renal impairment with chronic hydrocarbon exposure. Q J Med. 1993a; 86: 165-174.

33. Poole C, Dreyer NA, Satterfield MH, Levin L, Rothman KJ. Kidney cancer and hydrocarbon exposures among petroleum refinery workers. Environ Health Perspects. 1993; 101: 53-62.

34. Ravnskov U. Hydrocarbon exposure may cause glomerulonephritis and worsen renal failure: Evidence based on Hill’s criteria of causality. QJM. 2000; 93: 551-556.

35. Ravnskov U. Experimental glomerulonephritis induced by hydrocarbon exposure: A systemic review. BMC Nephrol. 2005; 6: 15-18.

36. Gutteridge JM, Halliwell B. The measurement and mechanism of lipid peroxidation in biological system. Trends Biochem Sci. 1990; 15: 129-135.

37. Robert SA, Kerzic PJ, Zhou Y, Chen M, Nicolich MJ, Lavelle K, et al. Peripheral blood effects in benzene-exposed workers. Chem Biol Interact. 2010; 184: 174-181.

38. Enterline PE. Review of new evidence regarding the relationship of gasoline exposure to kidney cancer and leukemia. Environ Health Perspect. 1993; 101: 101-103.

39. Klavis G, Drommer W. Good pasture syndrome and the effects of benzene. Arch Toxikol. 1970; 26: 40-55.

40. Kleinknecht D, Morel-Maroger L, Callard P, Adhemar JP, Mahieu P. Anti glomerular basement membrane nephritis after solvent exposure. Arch Intern Med. 1980; 140: 230-232.

41. Yaqoob M, Stevenson A, Mason H, Bell G. Hydrocarbon exposure and tubular damage: Additional factors in the progression of renal failure in primary glomerulonephritis. Q J Med. 1993; 86: 661-667.

42. Ehrenreich T, Yunis SL, Churg J. Membranous nephropathy following exposure to volatile hydrodcarbons. Environ Res. 1977; 14: 35-45.

43. Brautbar N. Industrial solvent and kidney disease. Int J Occup Environ Health. 2004; 10: 79-83.

44. Halder CA, Wame TM, Hatoum NS. Renal toxicity of gasoline and related petroleum naphthas in male rats. Adv Mod Environ Toxicol. 1984; 7: 73-88.

45. Sirdah MM, AlLaham NA, ElMadhoun RA. Possible health effects of liquified petroleum gas on workers at filling and distribution stations of Gaza governorate. Eastern Mediterranean Health Journal. 2013; 19: 289-294.

46. Bartinaeus CS, Jacobc MJ. The effect of exposure to petroleum products on some renal function parameters of mator mechanics in Port Harcourt metropolis of Nigeria. Global Journal of Pure and Applied Sciences. 2002; 9: 59-64.

47. Vyskocil A, Popler A, Skutilova L, Ciharova M, Ettlerova E, Lauwerys RR. Urinary excretion of proteins and enzymes in workers exposed to hydrocarbons. International Archeology of Occupational and Environmental Health. 1991; 63: 359-362.

48. Askergren A, Allgen LG, Karlsson C, Lundberg I, Nyberg E. Studies on kidney function in subjects exposed to organic solvents: 1 Excretion of albumin and beta-microglobulin in the urine. Acta Med Scand. 1981; 209: 479-483.

49. Viau C, Bernard A, Lauwerys R, Buchet JP, Quaeghebeur L, Cornu ME, et al. A cross sectional survey of kidney function in oil refinery employees. Am J Ind Med. 1987; 11: 177-187.

50. Lauwerys R, Benard A. Viau C, Buchet JP. Kidney disorders and hematotoxicity from organic solvent exposure. Scand J Work Environ Health. 1985; 11: 83-90.

51. Azeez OM, Akhighe RE, Anigbogu CN. Oxidative stress in rat kidney exposed to petroleum hydrocarbon. J. Nat Sci Med. 2013; 4: 149-54.

52. Ekpenyong CE. Nsuhoridem SA. Ameliorative potential of Cymbopogon citratus decoctions on gasoline vapour-induced nephrotoxicity. The Natural Products Journal. 2017; 7: 37-46.

53. Weaning JJ. Mechanisms leading to toxin-induced impairment of renal function with a focus on immunology. Toxicol Lett. 1989; 46: 205-211.

54. Farooqi ZR, Iqbal MZ, Shafiq M. Toxic effects of lead and cadmium on germination and growth of Albizia lebbeck (L.) Benth. Pak J Bot. 2009; 41: 27-33.

55. Ekpenyong CE. Hepatotoxic hyperplasia, cellular degeneration, and biochemical alterations associated with gasoline vapour-induced liver injury in rats. Elixir Pollution. 2017; 104: 45892-45896.

56. Voss JU, Roller M, Mangelsdorf I. Nephrotoxicity of organic solvents. A literature survey. Federal Institute for Occupational Safety and Health. Friedrich-Henkel-Weg 1-25, D-44149. Dertmund, Germany 2003.

57. Ngajilo D, Ehrlich R. Rhabdomyolysis with acute tubular necrosis following occupational inhalation of thinner. Occup Med. 2017; 67: 401-403.

58. Nath KA, Hostetter TH. Pathophysiology of chronic tubule interstitial disease in rats. Interactions of dietary acid load, ammonia and complement component C3. J Clin Invest. 1985; 76: 667-675.

59. Counahan R, Chantler C, Ghazali S, Kirkwood B, Rose F, Barratt TM. Estimation of glomerular filtration rate from plasma creatinine concentration in children. Archives of Diseases in Childhood. 1976; 51: 875-878.

60. Sahb AA. Hematological assessment of gasoline exposure among petrol f illing workers in Baghdad. J. Fac. Med. Baghdad. 2011; 53: 396-400.

61. Ekpenyong CE. Asuquo EA. Recent advances in occupational and environmental health hazards of workers exposed to gasoline compounds: Toxicology review. International Journal of Occupational and Environmental Health. 2017; 30: 1-26.

62. Ekpenyong CE, Daniel NE, Antai AB. Bioactive natural constituents from lemongrass tea and erythropoiesis boosting effects: Potential use in Prevention and Treatment of Anemi Medicinal Food. 2015; 18: 118-127.

63. Noguchi CT, Asavaritikrai P, Teng R, Jia Y. Role of erythropoietin in the brain. Crit Rev Oncol Hematol. 2007; 64: 159-171.

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High-Dose Statin Associated with Rhabdomyolysis, Acute Kidney Injury, Cholestatic Liver Injury, and Thrombocytopenia

Introduction: Statins are the drugs of choice to reduce cholesterol and the incidence of cardiovascular events. Although rare, the side effects of these drugs may be severe (especially when given in the high doses recommended by the cardiologists), including: muscle damage, renal and liver injury and compromised function, and polyneuropathy.

Case Report: We report a case of statin-induced rhabdomyolysis, acute kidney and liver failure and thrombocytopenia that developed in a 76-year-old man, who was referred to our department because of severe generalized myalgia and muscle weakness, extreme fatigue, loss of appetite, dark brown urine. Following an acute myocardial infarction 8 months previously he was put on atorvastatin 80 mg once daily. Laboratory evaluation at presentation revealed much increased levels of muscle enzymes, aminotransferases, total and conjugated bilirubin, and nitrogenous waste products, and low platelets. A diagnosis of acute renal and liver failure secondary to the long-term intensive statin therapy was made. Atorvastatin was discontinued and forced alkaline diuresis was started. After five days of oliguria and slight but persistent increase in creatinine levels dialysis was initiated, but discontinued after 4 sessions, once urine output increased. At discharge the patient’s serum creatine kinase level was in the normal range, creatinine was significantly decreased the thrombocyte count was better, aminotransferase were much lower but not completely normalized, but the bilirubin remained at the same level. The patient was discharged and instructed to avoid any potentially nephrotoxic and hepatotoxic drugs until next outpatient evaluation.

Conclusions: Our case report is meant to raise concerns about prescribing high dose statins. Unfortunately the prescribing cardiologists may be insufficiently aware of the potential for severe adverse effects as these come to the attention of clinicians from different specialities, especially nephrologists.

Dorin Dragos1,2, Diana Pruteanu2 and Rodica Constantin2


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Infections in Pediatric Dialysis Patients in Mubarak Al-Kabeer Hospital, Kuwait: 10 Year

Objective: As the incidence of End Stage Renal Disease (ESRD) worldwide has increased, so has the need for performing Hemodialysis (HD) and Peritoneal Dialysis (PD). We sought to identify risk factors and measure the rate of infections in pediatric patients undergoing dialysis.

Design: A retrospective study

Setting: Single pediatric dialysis center in Kuwait from July 2003-July 2013

Subjects: Pediatric patients undergoing PD or HD

Interventions: Follow up of risk factors and rate of infections incidents

Main outcome measures: Risk factors, incidence rate of infections and microbiological profile of organisms causing dialysis-related infections were determined in HD or PD patients.

Results: A total of 91 patients underwent HD and 63 patients underwent PD. The episodes of infection were documented in 13 patients in each of the two groups. Our rates of infection were found to be one peritonitis episode per 20 patient-months in PD group and 0.41 infection episodes per patient-year in HD group. The commonest organisms isolated in PD-related infections were Pseudomonas aeruginosa and CoagulaseNegative Staphylococci (CNST) whereas in HD-related infections CNST was the leading organism. Among the risk factors in both groups, personal hygiene was the most significant with a P-value of

Conclusion: Our infection rates were consistent with international reports and consistent with others in proving poor personal hygiene as a significant risk factor for infection in patients undergoing renal dialysis.

Wadha Alfouzan¹˒²*, Faisal Alkandari³, Ayman Yosri³, Fawaz Azizieh⁴, Haya Al Tawalah⁵ and Dhar R²


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Evaluating the Kidney Stones; are the Volume and Size Equal in One or Two Dimensions? Accustomed Inaccuracy

Urinary lithiasis is a common disease, prevalence rates vary from 1% to 20%, according to gender, dietary, ethnic, the geographical, and genetic factors.

Musab Ilgi*, Kaya Horasanli and Sinan Levent Kirecci


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Biochemical and Histological Evaluation of Kidney Function in Rats after a Single Administration of Cyclophosphamide and Ifosfamide

Background: Cyclophosphamide (CP) and Ifosfamide (IF) are widely used cytotoxic agents. Both CP and IF exert some characteristic adverse drug reactions including kidney damage taking various clinical forms, depending on the applied dose or administration route. The aim of our study was to estimate kidney function using selected, classical biochemical parameters as well as analyzing the urinary concentration and excretion of a modern “kidney troponin” - neutrophil gelatinase-associated lipocalin-1 (NGAL-1) in rats after administration of a single CP or IF dose.

Methods: 30 rats were divided into three groups (n=10 each; half males and females): group 1 - control (rats receiving i.p. saline solution); groups 2 and 3 – rats intraperitoneally treated with a single CP or IF dose of 150 mg/kg b.w., respectively. Following saline/CP/IF administration, animals were housed in single metabolic cages, to assess 24-hour diuresis and to obtain urinary samples for further laboratory assays. Finally, blood samples were collected and rats were sacrificed to perform autopsy with cystectomy and nephrectomy with subsequent histopathological analysis. Standard parameters of kidney function were assayed either in blood or in urine with an additional assessment of the urine NGAL-1 level.

Results: Single administration of both CP and IF resulted in decreased pH of urine and proteinuria accompanied by an increased 24-hour urinary NGAL-1 excretion. Moreover, CP-treated rats demonstrated polyuria. Concentrations and 24-hour excretion of most classical, low-weight parameters were not different in both CP- and IF-treated rats compared to values observed in control animals.

The histopathological analysis in CP/IF treated animals revealed presence of cystic inflammatory lesions and a normal kidney structure, with the exception of a mild to moderate congestive hyperemia.

Conclusion: A single administration of CP and IF caused a functional kidney tubulopathy in study rats manifested by marked proteinuria with increased 24-hour NGAL-1 urinary excretion.

Łukasz Dobrek*, Agnieszka Baranowska, Beata Skowron and Piotr Thor


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Serum Glycoprotein Chondrex (YKL-40) and High Sensitivity C- Reactive Protein (hscrp) in Type 2 Diabetic Patients in Relation to Cardiovascular Complications

In Type 2 diabetes, C-Reactive Protein (CRP) as an inflammatory marker may be elevated. The glycoprotein Chondrex or YKL-40 is over expressed in many inflammatory conditions. The aim is to study serum hsCRP and YKL-40 in Type 2 diabetic patients in relation to cardiovascular complications.

Methods: Eighty subjects were divided into 3 groups: GROUP 1:16 apparently healthy controls, GROUP 2:16 patients suffering from Type 2 DM without cardiovascular complications and GROUP 3: 48 patients suffering from Type 2 DM with cardiovascular complications. Subjects with acute or chronic inflammation, autoimmune disease or malignancy were excluded. Electrocardiography, Carotid Intima Thikness, Fundus Examination, laboratory investigations: (Complete urine analysis, urinary albumin, Creatinine and calculation of urinary albumin to creatinine ratio, fasting and postprandial glucose, glycated hemoglobin, Creatinine and uric acid, lipid profile, glomerular filtration rate, CRP and YKL-40) were done to all subjects.

Results: High sensitivity CRP levels were significantly elevated in the diabetic group with cardiovascular complications when compared to the diabetic group without cardiovascular complications (p=0.024). YKL-40 was significantly higher in patients with type 2 diabetes mellitus than controls (p=0.017) and cardiovascular complications (p<0.001) contributed to its greater elevation.YKL-40 was positively correlated with triglycerides, systolic and mean blood pressure in the group of diabetic patients without cardiovascular complications and with duration of diabetes and urinary albumin to creatinine ratio in the group with cardiovascular complications. By drawing receiver operating characteristic (ROC) curve between diabetic patients without and with cardiovascular complications the AUC for hsCRP was (0.676, p=0.036) and for YKL-40 was (0.743, p=0.004). By studying the diagnostic performance, YKL-40 had a better specificity and positive predictive value than hsCRP.

Conclusion: YKL-40 has a better specificity and positive predictive value than hsCRP in discriminating between diabetic patients with cardiovascular complications from those without cardiovascular complications.

El-Attar HA¹*, El-Deeb MM¹ and El-Ghlied LA²


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Is There An Association Between Angiotensin II Type 1 Receptor A1166C Gene Polymorphism and Renal Scarring Susceptibility?

Relationship between Angiotensin II Type 1 Receptor (AT1R) A1166C gene polymorphism and renal scarring risk is still controversial. This meta-analysis was performed to evaluate the association of AT1R A1166C gene polymorphism and renal scarring risk susceptibility. A predefined literature search and selection of eligible relevant studies were performed to collect data from electronic databases of PubMed, Embase and Cochrane Library. Three literatures were identified and included for the analysis of the relationship between AT1R A1166C gene polymorphism and renal scarring risk. We found that AT1R A1166C gene polymorphism was not associated with renal scarring susceptibility using the comparison of patients with scarring vs patients without scarring (C: OR=1.33, 95%CI: 0.83-2.13, P=0.23; CC: OR=1.71, 95%CI: 0.22-13.56, P=0.61; AA: OR=0.69, 95%CI: 0.39-1.21, P=0.20). Furthermore, AT1R A1166C gene polymorphism was also not associated with renal scarring risk using the comparison of patients with scarring vs healthy control. In conclusion, AT1R A1166C gene polymorphism was not associated with renal scarring risk susceptibility. However, more studies should be performed in the future.

Tianbiao Zhou*#, Weiji Xie#, Zhijun Lin# and Zhensheng Yang


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Evaluation of Antidiabetic Plants used by Tribes of Telangana State on Diabetic Complications like Neuropathy, Nephropathy and Cardiomyopathy in Rats

Background: India is “diabetes capital of the world”. Diabetes Atlas 2006 published by International Diabetes Federation, India currently around 40.9 million is expected to rise to 69.9 million by 2025 unless urgent preventive steps are taken. Over the past 30 yr, the status of diabetes has changed from being considered as a mild disorder to major causes of morbidity and mortality.

Methods: Rats treated with Alloxan (150 mg/kg) i.p. results diabetic rats given ethanol extract of Senna auriculata leaf, Syzygium cumini (L.) Skeels seeds and Syzygium cumini (L.) Skeels seeds (150 mg/kg) p.o., respectively for 42 days. Biochemical parameters of diabetic neuropathy, nephropathy and cardiomyopathy and histopathology of sciatic nerve, kidney and heart was done at the end of study.

Results: In Diabetic Group found Blood Glucose Level (BGL) (84.42±6.384 to 369.36±7.784mg/dl); Muscle Grip Strength (MGS) (59.32±1.052 to 13.52±0.883seconds); Thermal Pain Response (TPR) (5.55±0.621 to 13.67±1.164seconds). blood protein (7.48±0.051 to 25.18±0.046mg/dl); urine protein (0.692±0.061 to 2.68±0.056mg/dl); blood albumin (1.94±0.043 to 0.248±0.007mg/dl); urine albumin (0.082±0.009 to 2.68±0.056mg/dl); blood myoglobin (0.042±0.00274 to 0.056±0.00207ng/dl); urine myoglobin (0.0048±0.00142 to 0.0098±0.00107mg/dl); Blood Urea Nitrogen (BUN) (23.04±1.093 to 124.81±1.238 mg/dl); Serum Creatinine (84.06±6.723 to 218.56±7.586 (µMol/dl). Etholic extract of Senna auriculata leaf, Phyllanthus emblica.L. fruits and Syzygium cumini (L.) Skeels seeds & combination treated groups found BGL124.42±7.042, 112.07±6.942, 126.25±7.051 & 98.83±6.932mg/dl; MGS 49.06±0.962, 52.05±1.247, 54.06±1.268 & 56.79±1.125 seconds; TPR 6.54±0.841, 7.38±0.802, 6.45±1.062 & 6.14±0.837 seconds; blood protein 7.98±0.039, 8.02±0.053, 8.06±0.039 & 7.48±0.045mg/dl; urine protein 1.22±0.058, 0.94±0.049, 0.96±0.056 & 0.82±0.062mg/dl; blood albumin 1.64±0.033, 1.82±0.036, 1.87±0.044 & 1.96±0.039mg/dl; urine albumin 0.122±0.008, 0.098±0.007, 0.132±0.009 & 0.108±0.011mg/dl; blood myoglobin 0.045±0.00189, 0.036±0.00177, 0.041±0.00223 & 0.043±0.00175ng/dl; urine myoglobin 0.0042±0.00129, 0.0052±0.00119, 0.0064±0.00126 & 0.0036±0.00125mg/dl; BUN 35.81±1.186, 36.06±1.123, 34.53±1.177 & 29.03±1.229mg/dl; Serum Creatinine 98.42±5.526, 99.73±6.064, 101.97±6.052 & 94.83±6.678µMol/dl.

Conclusion: Ethanol extract of Senna auriculata leaf, Phyllanthus emblica L. fruit and Syzygium cumini (L.) Skeels seeds (150mg/kg) and its combination normalizes biochemical parameters & Morphological changes in sciatic nerve, myocardium & kidney and improvement of the general behavioral parameters. Combination was found to be more effective in these diabetic complications.

Syed Ahmed Hussain and Ashish Kumar Sharma*


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Uric Acid, Metabolic Risk Factors, and Chronic Kidney Disease: Clinical Investigation in a Female Elderly Occupational Population in Taipei, Taiwan

Purpose: To explore the prevalence and associated factors for Chronic Kidney Disease (CKD) among female elderly fishing and agricultural population in Taipei, Taiwan.

Methods: Females (n=1,606) aged 65 years and over voluntarily admitted to a teaching hospital for a physical check-up were collected in 2010.

Results: The prevalence of CKD was 8.2%. Age, hyperuricemia, and hyperglycemia were statistical significantly related to CKD. The sensitivity and specificity of serum uric acid and fasting blood glucose concentration as a marker of CKD were estimated 76.5%, 70.9% and 51.5%, 53.5%, respectively.

Conclusion: Hyperuricemia and hyperglycemia independently affect the prevalent CKD in this sub-population.

Ya-Ting Liang¹, Hsi-Che Shen²˒³˒⁴, Yi-Chun Hu²˒³˒⁵, Yu-Fen Chen⁶˒⁷˒⁸ and Tao-Hsin Tung⁹˒¹⁰˒¹¹*


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Pseudohypercreatininemia after Sustanon Injection

The drugs used in the treatment of certain diseases may give impression of impaired renal function. These drugs cause a false high serum creatinine level. Laboratory findings other than serum creatinine and hypertriglyceridemia were normal. We presented a 28-year-old male with a high serum creatinine level, who was referred for consideration of urgent renal replacement therapy. The results of the investigations revealed that the result was the falsely-elevated serum creatinine due to the sustenance injection.

Can Hüzmeli¹, Mustafa Sağlam¹, Bariş Döner¹, Serkan Çağlar² and Özkan Güngör³


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Peripheral Arterial Disease Holding Central Stage in Chronic Kidney Disease (Kdoqi Stage 3-5): Prevalence and Related Risk Factors - Experience from Kashmir Valley Tertiary Care Centre

Patients with CKD are highly predisposed for developing accelerated atherosclerosis. These patients have non-traditional risk factors such inflammation, malnutrition and increased oxidative stress that enhance and accelerate atherosclerosis in addition to traditional risk factors. Although relation between cardiovascular and cerebrovascular diseases with CKD is well established, studies are suggesting about association of Peripheral Arterial Disease (PAD) with CKD. PAD is associated with increased morbidity and mortality in patients of CKD.

This study is rendezvous to look for PAD and related risk factors in patients of CKD having eGFR less than 60 ml/ min/ 1.73 m2 (MDRDS) and not on RRT.

Two hundred ten subjects with CKD attending department of nephrology at tertiary care institute in valley were included in study. Out of 210 subjects selected, 30 were having PAD that constituted 14% of study population. IC was seen in 25 (11.9%) of 210 subjects. Out of PAD patients 16 (53.3%) were having history of IC and 14 (46.7%) were asymptomatic. As reported in literature, prevalence of peripheral arterial disease in CKD patients not on dialysis ranged from 7% to 32% in previous cases. This study will sensitize us to plan more effective screening, preventive and management strategies. This will go long way to decrease morbidity and mortality in patients.

Mohamad Muzzafer Mir*, Mohamad Saleem Najar, Bipin Kumar Sharma, Mangit Singh, Ursilla Taranum Mir and Majid Khalil Rather