Some physiological parameters of the liver and the kidney as indicators to the textile workers health in Egypt.

Public Titles

Author

Nutritional Chemistry, National Nutrition Abstract

Abstract

Abstract. - Present study is a part of the project conducted by National Nutrition Institute to evaluate the pollution effect on the health of occupationally exposed workers in some industries in Egypt. The various blood and urine biochemical parameters of a total included 1816 workers select randomly from seven Textile factories distributed in five governorates, were compared to assess the gender, job duration time and workplace. The results indicated that the biochemical analysis of antioxidants (Glutathione (GSH), Malondialdehyde (MDA) and erythrocyte super oxide dismutase (cu/znSOD)), the mean values ofGSH and cu/znSOD were significantly higher in males, while the mean value of MDA was not effected by gender. Concerning to job duration the data showed that the mean value of cu/znSOD in indirect group of categories II was significantly increase than of the corresponding group in category I.The mean value of MDA level of indirect & direct groups in category I were significantly increase than the corresponding groups of categories II. On the other hand, the mean value GSH level was not affected by job duration. According to work place, there was significant increase in GSH mean value of direct workers than of indirect workers in category II. While, the mean value of cu/znSOD in direct workers of category I had significant increase than in indirect of the same category. While MDA mean value was not affected by work place. At the total group level, the mean value in both of GSH &MDA in category II were significantly increase than of the total group in category I.  The present study showed that results of some biochemical parameters as indicators for liver functions, the changes observed in the blood component some correlate with the age, job duration and gender. While other effecting by job duration only. On the other hand, concerning of work place significant change in AlkalinePhosphates (ALP)and value of plasma albumin. The results of some biochemical parameters as indicators for kidney functions were change by gender, job duration and work place.
Key words: Textile workers, Liver functions, Kidney functions, antioxidants and lipid peroxidation.

Highlights

liver,  kidney, workers health,  Egypt.

Keywords


Some physiological parameters of the liver and the kidney as indicators to the textile workers health in Egypt.

 

Hewaida, A.E. Fadel

 

Nutritional Chemistry, National Nutrition Institute, Cairo, Egypt.

 

Abstract

 

Abstract. - Present study is a part of the project conducted by National Nutrition Institute to evaluate the pollution effect on the health of occupationally exposed workers in some industries in Egypt. The various blood and urine biochemical parameters of a total included 1816 workers select randomly from seven Textile factories distributed in five governorates, were compared to assess the gender, job duration time and workplace. The results indicated that the biochemical analysis of antioxidants (Glutathione (GSH), Malondialdehyde (MDA) and erythrocyte super oxide dismutase (cu/znSOD)), the mean values ofGSH and cu/znSOD were significantly higher in males, while the mean value of MDA was not effected by gender. Concerning to job duration the data showed that the mean value of cu/znSOD in indirect group of categories II was significantly increase than of the corresponding group in category I.The mean value of MDA level of indirect & direct groups in category I were significantly increase than the corresponding groups of categories II. On the other hand, the mean value GSH level was not affected by job duration. According to work place, there was significant increase in GSH mean value of direct workers than of indirect workers in category II. While, the mean value of cu/znSOD in direct workers of category I had significant increase than in indirect of the same category. While MDA mean value was not affected by work place. At the total group level, the mean value in both of GSH &MDA in category II were significantly increase than of the total group in category I.  The present study showed that results of some biochemical parameters as indicators for liver functions, the changes observed in the blood component some correlate with the age, job duration and gender. While other effecting by job duration only. On the other hand, concerning of work place significant change in AlkalinePhosphates (ALP)and value of plasma albumin. The results of some biochemical parameters as indicators for kidney functions were change by gender, job duration and work place.

Key words: Textile workers, Liver functions, Kidney functions, antioxidants and lipid peroxidation.

 

 

Introduction

 

Industrialization is necessary for prosperity and at times for the survival of a nation. The production is the real wealth of a nation. Only industrialization is not enough, real benefit is brought by continuous top performance of the worker which is only possible by their good health (Jaiswal2007).According to the results,20-50% of workers are subjected to hazardous exposures in industrialized countries and the rate may be even higher in developing countries.The textile industries have been dubbed as worst offenders of pollution contributors as they used more than 2000 types of chemicals and over 7000 types of dyes (WHO 2006).Workers of Textile industries in Egypt represents large segment of Egyptian labor force. Textile industriesare famous for the production of cotton, linen, wooland silk. Textile dyes contain heavy metals such as lead (Pb), chromium (Cr) and copper (Cu). It is widely used for production of color pigments of textile dyes. Textile dyes pollutants are being released to the environment at various stages of operation. Therefore, it is necessary that the pollutants are treated before discharge (Halimon and Yin 2010).  Heavy metals are taken into the body via inhalation, ingestion and skin absorption. If heavy metals enter and accumulate in body tissues faster than the body's detoxification pathways can dispose of them, a gradual buildup of these toxins will occur. High- concentration exposure is not necessary to produce a state of toxicity in the body tissues and, over time, can reach to toxic concentration levelsMomodu and Anyakora (2010).The workers from textile processing and dyeing industry are exposed to various processing chemicals, dyes and different pollutant for long term which may causing hazardous effects on various organs like particularly lung, liver, kidney have become important issue and less data available which explain the effects of these chemicals on biochemical parametersMullaet al.,(2018).

 

This study was aimed to estimate some physiological parameters of the liver and the kidney functionsas indicators to the textile workers health in Egypt.

 

Materials and Methods

 

Materials: The data were derived from a project conducted by National Nutrition Institute (NNI) Survey to evaluate the pollution effect on workers in some industries in Egypt. This part of study included five governorates; the selected factories were eight distributed as follows, onein each of Giza, Halwan and El Sharkayia, two in El Gharbia and three factories in Alexandria. The factories follow Ministry of Industry. Central Agency for Public Mobilization and Statistics provided the number of workers in each factory and their distributed in Egypt governorates according to the survey.The characteristic of the studied sample, showed that the participants numbers of textile workers were 1816, including 1100 workers in category I (workers <5 years) and 716 workers in category II (workers > 5 years) where the workers of category I were more than those of category II. According to the working place, the workers were divided into indirect or direct exposure to the production line.

 

The biochemical analysis, antioxidants (GSH, MDA and SOD) were determined to about 85-90 %from the total sample. The other biochemical analysis (ALT, AST, ALP, GG T, Albumin, blood urea, Creatinine, Uric acid and urinary B2 microglobulin) were done for sub samples about 40-50%.

 

Methods:Collection of samples, random venous blood sample 10 ml were collected from the workers in tube containing anti-coagulant (EDTA). GSH were determined immediately in the field from whole blood, the rest of the sample was centrifuged for 10 min at 3000 rpm to obtain the plasma. The plasma was divided into 3 Eppendorf tubes to estimate the liver, kidney functions, plasma MDA and Cu / Zn SOD.The urine was collected and freeze for determination of B2 microglobulin.

 

Methods of biochemicalparameter were assayed by autoanalyzer usingdiagnosticreagent kits, according to the following: - Malondialdehyde (MDA),erythrocyte super oxide dismutase Cu/Zn (Cu/ZnSOD) and blood glutathione (GSH)levels were determined according toUchiyama andMihara (1978),Winterbournet al.,  (1975) andBeutleret al.,.(1963)respectively.

 

 Liver function tests:Alanine and aspartate aminotransferase (ALT and AST) actives were determined according to the method ofRietman and Frankel (1957). Plasma Alkaline Phosphatase (ALP), Gamma Glutamyl Transferase (GGT) and albumin were by using the methods of Rec (1972),Szasz (1976)and Doumeset al.,(1971)] respectively.

- Kidney function tests:PlasmaCreatinine, Urea, Uric acid andurineB2 microglobulin concentrations were determined according to Fabinyet al.,(1971), Kaplan (1984), Schultz (1984), Hemmingsenand  Skaarup (1985)] respectively.

 

Statistical Analysis: The SPSS software, version 22 was used to analyze the statistical analysis.  All results were calculated as mean ± SD and a“p” value of <0.05 was considered statistically significant.

 

 

 

Results and Discussion

 

Our data presented that table (1) showed some antioxidants were blood glutathione (GSH), erythrocyte super oxide dismutase (cu/znSOD) and factors were gender (males & females), job duration (<5(categoryI)&>5(categoryII) years) and work place (direct & indirect exposure to production line). Regarding to gender, mean values of GSH and cu/znSOD were significantly higher in males than in females at (P<0.001). While the mean value of MDA was not effected by gender. Concerning to job duration the data showed that the mean value of cu/znSOD in indirect group of category IIwas significantly increase than of the corresponding group in category I, while it was significantly increase in direct group of category Ithan of the corresponding group of category II at (P< 0.001). The mean value ofMDA level of indirect &direct groups in category I at (P<0.001) were significantly increase than the corresponding groups of category II. While the mean value GSH level was notaffected by job duration. According to work place, there was significant increase in GSH mean value of direct workers than of indirect worker in category II at (P<0.001). While, the mean value of cu/znSOD in direct workersof category I had significant increase than in indirect of the same category at (P<0.001). While MDA mean value was not affected by work place. At the total group level, the mean value in both of GSH&MDA in category IIwere significantly increase than of the totalgroup in category I at (P<0.05).

 

Table (2) showed that the results of some biochemical parameters as indicators for liver functions. According to gender, the mean value of plasma AST was significantly higher in males than in females in category I at (P<0.001) while, all of other liver tests had not affected by gender. Regarding to job duration, the mean value of ALP at total workers of indirect, direct and total groupin category I were significantly higher than them in category II at (P<0.001). The mean value of plasma Albumin was significantly higher of direct workers in category II than the corresponding in category I at (P<0.05). While all of the other parameters were not affected by job duration. Concerning of work place, there was significant increase in ALP mean value of direct workers than of indirect workers in category I at (P<0.001). Also, the mean value of plasma Albumin was significantly higher of direct than indirect exposure workers in category II than the corresponding one in category II at (P<0.05).

 

Table (3) showed that the results of some biochemical parameters as indicators for kidney functions. According to gender, the mean values of plasma Creatinine , Ureaand Urinary B2Microglobin of totalmale workers were significantly higher  than of total female workers in category I, respectively at (P<0.05).Corresponding to job duration, there was significant increase in mean value of plasma Creatinine in both of indirect, direct and total workers in category I than of them in category II at(P<0.05). Also, there was significant increase in the mean value of Urinary B2Microglobin of total workers in category I than the corresponding one in category II.

 

Antioxidants fight harmful chemical compounds (free radicals) generated during various normal cellular metabolic activities in our body. Antioxidant compounds act through several chemical mechanisms: hydrogen atom transfer (HAT), single electron transfer (SET), and the ability to chelate transition metals. The importance of antioxidant mechanisms is to understand the biological meaning of antioxidants, their possible uses, their production by organic synthesis or biotechnological methods, or for the standardization of the determination of antioxidant activityMullaet al., (2018).

 

In addition, the present study in agreement withPompellaet al., (2003)mentioned that, glutathione can help to protect against diseases caused by oxidative damageand also plays an important role in the regulation of immune cells, and is a potent detoxifying agent. Also, they added that, Low levels of glutathione have been associated with hepatic dysfunction, kidney dysfunction, immune dysfunction, cardiac disease, and premature.

Also, in the same manner, the present study in agreement with the word, Superoxidedismutase knownas erythrocuprein, a common antioxidant enzyme, plays an important protective role by catalyzing the removal of superoxide radicals. It is delicate for toxic superoxide radicals and converts super oxide radicals to hydrogen peroxide, and hence hydrogen peroxide is degraded by catalase. Oxyradicals are potentially toxic molecules thus cellular efficacy of SOD enzyme reduction led to increased lipid peroxidation Ramasarma (2007).

 

These results partially agree those reported byYildirimet al.,(2007)] who observed that textile workers with longer employment duration had MDA levels were significantly higher in workers than controls (p<0.001). Also, SOD activity was lower in workers but difference was not statistically significant. Increase in MDA level and decreases in SOD activities in textile workers, support the opinion that the noise causes the oxidative stress.While other results bySibel (2008) and Shimizu et al., (2002) they added that MDA and SOD were significantly higher in textile workers than in controls (p<0.05). Elevated MDA levels in textile workers may indicate increased lipid peroxidation as a result of long-term exposure to organic solvents, whereas elevated SOD activity suggests that the antioxidant system was activated to counter lipid peroxidation.

They reported that liver dysfunction among workers handling 5-nitro-o-toludine, a raw material for azodyes Halimon and Yin (2010). Other study reported that, hepatic malfunction in workers occupationally exposed to benzanthrone, an important dye intermediate used in the manufacture of vat dyes (Momodu and Anyakora 2010).

 

GammaGlutamyltransferase or GGT is a liver enzyme that has traditionally been measured to detect liver health and function and alcohol consumption. GGT is a very sensitive measure than can change very quickly compared to other biochemical markers.

 

Various chemicals are used in dying process, which have hazardous effects on workers involved in this process Wernliet al., (2006)).

 

Dönbaket al.,(2006) have also reported the genotoxic potential of dyes and their solvents on the liver and serum. Also,a correlation between adverse changes in liver structure and biochemical constituent has been shown in different mammals exposed to various xenobiotic(Kazmiet al.,(2003).

 

            The liver enzymes in the present study were found ALP was significantly reduced and AST significantly increased in industrial workers exposed during 20 years of job. Also, the albumin level was found change, increased in all groups. These parameters, Acid Phosphatase (AP), Alkaline phosphatase (ALP) and Lactate Dehydrogenase (LDH) were noted to be highly sensitive in relation to exposure to dyes in textile workers. The depletion of ALP due to toxicity of xenobiotic has also been reported recently. The results of this study agree withKazmiet al.,(2003)they reported that, the depleted levels may either be due to impairment in their synthesis or its retention in the cells andthat symptoms are not apparent until concentrations are quite low.While, Chronic liver disease has been reported as one of the various disorders of occupational exposure. In such case there is no clinical evidence until after years of exposure. The effect of occupational exposure on the synthetic function of the liver can therefore said to be at the sub-clinical level.

 

            In the present study, the level of alkaline phosphatase (ALP) was found to be low while those of aspartate aminotransferase (AST) and albumin were higher in textile industry workers. These changes did not correlate with the age and job duration. A significant (p≤0.05) depletion in ALP and elevation in ALT was recorded in most of the age groups along with alterations in AP, LDH, AST and globulin. On the other hand, significant decrease in AP, ALP, LDH and increase in AST was observed in workers involved in the dying processes for 6-10 years. The study suggests that occupational exposure to textile dyes causes adverse effects on the health of industrial workers, though these effects are not related to the age or duration of exposure, this study in a harmony with Soyinka et al .,(2007).Also Kazmiet al., (2003) added that the activity of ALP and the concentrations of total protein and albumin were significantly lower levels in the exposed group, may either be due to impairment in their synthesis or its retention in the cells. While, ALT and AST activities were significantly higher (P <0.05) in the exposed group. Occupational exposure to vat dyes may result in sub-clinical adverse effects on the liver, involving inhibition of its synthetic function.

 

The present studyin a harmony with Liaqatet al., (2009) demonstrated that mean of serum bilirubin, ALT and AST and alkaline phosphatase is more in Textile processing and dyeing industry workers than controls. There was no significant change in mean difference of serum proteins, serum albumin and serum globulin but highly significant change seen in serum albumin as compared to control. These significant changes were associated with the increased risk of dysfunction of the liver among the textile processing and dyeing industry workers.

 

The significant differences observed with ALT and AST in this study may suggest sub-clinical hepatocellular damage, which may have to do with disturbance of membrane integrity.

The fact that there are significant differences (consistent with the above trend) between some indices of liver function of the exposed group, compared with the unexposed may indicate some impairment of liver function(Müller et al., 2018).

 

Specific urinary measurements of low molecular weight molecules of protein such β2-microglobulin are quite sensitive for any tubular injury, but they are not specific for any disease.An elevated urinary excretion of β2-microglobulin has proved to be useful in detecting the more subtle signs of cadmium nephrotoxicity.Almost immediately after absorption, cadmium is bound with metallothionein and stored in the erythrocytes. In contrast to the other heavy metals, chelators seem to increase cadmium nephrotoxicity(Manzoorand and Sharma 2020).

 

The results of the studyby Vallianouet al., (2019)revealed statisticallyhighly significant difference between the Urinary –N-Acetyl glucosaminidase activity (NAG index) as well as B2microglobulin  in the workers that exposed to organic solvents and their matched controls. The results revealed statistically insignificant difference between the occupationally exposed workers of the paint factory and their matched unexposed controls in the proportions of renal function tests. 6.4% of exposed workers have abnormal elevated urea levels which are three times higher than the proportion of their matched control (2%).On the other hand, the exposed workers that have abnormal elevated serum creatinine are higher than (4.8%) that in matched control group (3%) but this difference is also statistically insignificant. This result may carry clinical significance in the medical field in general and occupational medicine especially despite of its statistical insignificance which may be attributed to the working in the factory under controlled environmental conditions(Mohammed., 2013). Textile workers in developing nations at risk (Barsouket al., 2021)

 

Conclusion:The study proved that the three factors affected textile workers health status; were job duration and gender, while work placing either direct or indirect had an effect. Results of this study point to a possibility of early renal effects, but not to a serious to influence on the routine kidney and liver function tests.The results suggest that textile workers occupationally exposed to volatile organic solvents make a risk group and require more frequent periodic examinations. Furthermore, significant physiological changes of some functions observed in this study are in need to be elucidated so that the after-effects of toxicant contamination may be monitored and eliminated. This will not only help in the protection of the surrounding environment, but also in the prevention of malignant, liver and kidney diseases in the present populations working in the factories as well as those residing in the industrial area.

Recommendations:Textile workers should change their working methods and use proper protection equipment’s to minimize exposure to different chemicalsProper   treatment for heavy metals overload follows a three-part treatment, first avoidance of exposure, second nutritional supplementation to reduce toxic induced damage and stimulate toxin excretion and third cleaning toxin from the body using chelating agents.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table (I): Malondialdehyde (MDA), erythrocyte super oxide dismutase Cu/Zn/SOD) and blood Glutathione (GSH) levels in Textile industry workers (Mean±SD)

 

Sex

 

category I      (<5 years)

Category II  (>5 years)

Group total

 

 

 

Indirect

Direct

Total

Indirect

Direct

Total

Indirect

Direct

Total

Blood RedusedGlutathion (GSH)  mg/dl

 

M

N

324

650

974

170

493

663

494

1143

1673

Mean±SD

38.5±12.4

37.5±11.7 e

37±11.9

30.1±8.9

33.7±11.4

32.8±10.9

35.6±12

35.9±11.7

32.8±11.8

F

N

29

81

110

18

34

52

47

115

162

Mean±SD

29.7±10.9

31±12.4

30.7±11.9

30.2±10.8

31.2±9.8

31.1±10.1

29.9±10.6

31±11.7

30.7±11.3

Total

N

353

731

1084

188

527

715

541

1258

1799

Mean±SD

37.8±12.5

36.8±11.9

31.7±16.9 g

30.1±9

33.6±11.3 d

32.6±11

35.1±12

35.47±11.82

35.5±11.8

Erythrocyte Super Oxide Dismutase (SOD)Cu/Zn  units/ml blood

M

N

321

638

959

164

468

632

485

1106

1591

 

Mean±SD

218.6±150.7

318.7±182.9e

283±162

257.1±138

272.93±125.7

269±128

231±147

299±162.4

277±150

F

N

30

78

108

17

33

50

47

111

158

 

Mean±SD

227±159

156.1±90.87

175±117

257.2±181.1

230.58±127.0

239±145

237.9±166.5

178.22±107.5

195±130

Total

N

351

716

1067

181

501

682

532

1217

1749

 

Mean±SD

219.3±151.3

301±181.93b c

272±161

257.1±42.1 a

270.14±126.1

267±130

232±149.1

288±162

270±150

Malonaldhyde (MDA)

M

N

305

576

881

160

449

609

465

1025

1490

 

Mean±SD

2.1±1.7

2.0±1.5

2.0±1.6

1.6±0.9

1.7±1.2

1.7±1.1

1.9±1.5

2.69±1.77

1.9±1.4

F

N

29

72

101

17

32

49

46

104

150

 

Mean±SD

2.1±1.7

1.8±1.5

1.9±1.5

1.65±0.9

1.3±0.5

1.48±0.66

1.9±1.4

3.21±2.5

1.7±1.3

Total

N

334

648

982

177

481

658

511

1129

1640

 

Mean±SD

2.1±1.7  a

2.0±1.5  b

2.0±1.6g

1.6±0.9

1.7±1.2

2.15±1.43

1.9±1.5

2.74±1.86

1.9±1.4

a: Significant difference between (indirect ) <&> 5 years       

b: Significant difference between (direct)  <&> 5 years

c: Significant difference between (indirect & direct) < 5 year      

d: Significant difference between (indirect & direct) in > 5 yeas  e:Significant difference between(male & female)  < 5 years      

f: Significant difference between (male & female) > 5 years            

g: Significant difference between (total )<&> 5 years

Table (2):  Liver function tests levels in Textileindustrial workers

 

 

sex

 

<5 years

>5 years

Group total

 

 

 

 

 

 

 

 

 

 

Indirect

Direct

Total

Indirect

Direct

Total

Indirect

Direct

Total

Plasma Aspartate Transaminas (AST)(U/L)  normal range 0-28 U/L

 

M

N

122

234

356

54

178

232

Indirect

Direct

Total

 

Mean±SD

22.55±12.63

24.46±14.17e

23.81±13.82

22.83±15.02

23.82±13.84

23.59±14.09

176

412

588

 

F

N

9

26

35

0

11

11

22.58±13.66

24.18±14.02

23.9±13.9

 

Mean±SD

25.1±12. 9

17.92±13.05

19.64±13.2

0

26.27±12.49

26.27±12.49

9

37

46

 

Total

N

131

260

391

54

189

243

25.1±12. 9

20.4±13.29

21.06±12.7

 

Mean±SD

22.67±13.04

23.8±14.18

23.42±13.58

226±14.55

23.96±13.75

23.64±13.92

185

449

634

Plasma Alanine  Transaminase (ALT)   (U/L) normal range

 

M

N

122

233

355

54

178

232

176

411

587

 

 

Mean±SD

18.4±12.5

20.47±13.24

20±13.3

20±13.7

20.7±12.9

20.0±13.1

18.2±12.7

20.8±13.11

20.2±13.49

 

F

N

9

26

35

4

11

15

13

37

50

 

 

Mean±SD

19±.12

17.23±14.38

17.69±13.3

19.75±5.43

21.8±11.6

18.6±11.5

16.1±9.7

18.9±13.62

17.796±12.6

 

Total

N

131

259

390

58

189

247

189

448

637

 

 

Mean±SD

18.39±12.33

20.14±13.36

19.79±13.6

17.8±13.4

20.7±12.8

19.9±13.0

18.0±12.5

20.42±13.15

19.85±13.43

plasma alkaline Phosphatase (ALP)       (U/L)

 

M

N

122

232

354

54

178

232

176

410

586

 

 

Mean±SD

99.38±31.74

106.03±32.3

103.78±32.08

89.8±21.69

95.7±22.49

94.33±22.4

96.1±29.27

101.54±28.9

99.88±29.02

 

F

N

9

26

36

0

11

11

9

37

46

 

 

Mean±SD

90.67±17.57

97.54±34.05

95.19±30.37

0

87.45±17.1

87.45±17.1

88.084±15.49

94.54±30.13

52.5±26.9

 

Total

N

131

258

389

54

189

243

185

447

636

 

 

Mean±SD

98.6±30.42 a

105.17±32.5 c b

102.96±31.98 g

89.8±21.69

95.22±22.26

93.83±22.1

95.3±28.23

100.97±29.1

99.3±29.01

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Continue

 

 

Sex

 

<5 years

>5 years

Group total

 

 

 

 

Indirect

Direct

Total

Indirect

Direct

Total

Indirect

Direct

Total

Plasma gamma glutamyl transferase (GGT)   50–70 U/L for men and 40–45 U/L for women

 

 

M

N

122

233

355

54

178

232

176

411

587

 

Mean±SD

15.6±12.17

17.1±12.72

16.56±12.53

17.15±14.53

19.7±13.68

19.11±19.69

16.07±12.92

17.62±12.7

16.95±12.08

 

F

N

9

26

35

0

11

11

9

37

46

 

Mean±SD

15.44±8.38

13.04±10.16

13.66±9.66

0

13±6.96

13.03±6.72

15.44±8.3

13±9.23

13.9±8.87

 

Total

N

131

259

390

54

189

243

185

448

633

 

Mean±SD

15.59±11.9

16.65±12.5

16.3±12.32

17.5 ±14.1

19.2±20.8

18.78±12.4g

16.04±12.61

17.24±12.5

16.7±11.8

plasma Albumin      mg/dl    normal range 3.8 – 5.1 gm/dl.

 

M

N

115

223

338

54

169

223

169

392

561

 

 

Mean±SD

5.18±1.09

5.12 ±1.12

5.13 ±1.11

5.1±0.9

5.41±1.05

5.34±1.05

5.16±1.05

5.23±1.1

5.21±1.09

 

F

N

6

27

33

0

12

12

6

39

45

 

 

Mean±SD

4.67±0.81

5.26 ±1.19

5.16±1.15

0

5.21±1.6

5.21±1.6

4.67±0.81

5.23±1.31

5.17±1.28

 

Total

N

121

250

371

58

181

239

179

431

610

 

 

Mean±SD

5.16±1.08

5.13-1.13

5.15 ±1.11

5.04±1.02

5.4±1.09db

5.32±1.09

5.11±1.06

5.24±1.12

5.21±1.1

a: Significant difference between (indirect ) <&> 5 years  b: Significant difference between (direct)  <&> 5 yearsc: Significant difference between (indirect & direct) < 5 year   d: Significant difference between (indirect & direct) in > 5 yeas  e:Significant difference between(male & female)  < 5 years      f: Significant difference between (male & female) > 5 years            

g: Significant difference between (total ) <&> 5 years

 

 

 

 

 

 

Table (3) Kidney function tests In Textile industry workers (Mean ±SD)

 

sex

<5 years

>5 years

Group total

 

 

Indirect

Direct

Total

Indirect

Direct

Total

Indirect

Direct

Total

Plasma Creatinine (normal range 0.7-1,4 (male) & 0.6-1.1 (female)    mg/dl.

M

115

223

338

55

169

224

170

392

562

0.96±0.3

0.87±0.25

0.87±0.27 e

0.76±.22

0.77±0.29

0.77±0.27

0.89±.26

0.83±0.27

0.83±0.28

F

6

27

33

4

12

16

10

39

49

0.87±0.31

0.76±0.7

0.78±0.22

0.73±.1

0.7±0.24

0.71±0.21

0.81±0.25

0.74±0.22

0.75±0.22

Total

121

250

371

59

181

240

180

431

611

0.95±0.71  a

0.85±0.24 b

0.86±0.266 g

0.75±0.21

0.77±0.31

0.76±0.28

0.89±.6

0.82±0.27

0.83±.28

blood Urea   (mg/dl)  normal range 15-45  mg/dl

M

115

223

338

55

169

224

170

392

562

 

29.7±13.4

37.6±8.89

37.9±8.5 e

36.85±11.97

38.07±10.22

37.76±10.2

24.27±15.0

37.81±9.47

37.35±9.26

F

6

27

33

0

12

12

10

39

49

 

21.47±15.3

30.11±10.7

31.95±10.39

0

42.92±10.82

42.92±10.82

25.38±12.5

34.1±11.6

34.85±11.6

Total

121

250

371

59

181

240

180

431

611

 

29.3±13.54

36.8±9.28

36.63±8.87

36.39±9.96

38.4±10. 3

37.91±10.23

24.3±15.0

37.47±9.73

37.13±9.4

 

 

 

 

 

 

 

 

 

Continue

 

sex

<5 years

>5 years

Group total

 

 

Indirect

Direct

Total

Indirect

Direct

Total

Indirect

Direct

Total

Plasma uric acid (mg/dl) normal range 3.6-7.7(male)  2.5-6.8 (female)

M

115

223

338

54

169

223

169

392

561

 

5.38±1.85

5.96 ±1.98

5.95 ±1.93

5.87±1.49

6.1±1.65

6.04±1.61

5.96±1.74

6.09±1.81

5.6±1.81

F

6

27

33

0

12

12

6

39

45

 

6.72±2.47

5.64 ±1.76

5.97 ±1.87

0

5.34±1.29

5.34±1.29

6.13±2.14

5.55±1.62

5.75±1.74

Total

121

250

371

54

181

239

179

431

610

 

6.07±1.89

5.93-1.96

6.95±1.9

5.82±1.47

6.04±1.63

5.99±1.6

5.97±1.76

6.04±1.8

6.02±1.79

Urinary B2Microglobin  µg/ml normal range 0.0-0.3

M

151

339

490

69

224

293

220

563

783

 

0.12±0.02

0.11±0.011

0. 11±.012  e

0.088±.007

0.080±0.09

0.082±.08

0.104±0.017

0.096±0.1

0.09±0.11

F

8

30

38

0

14

14

8

44

52

 

0.06±0.027

0.072±0.06

0.068±0.065

0

0.057±0.034

0.057±0.034

.06±0.027

0.067±0.06

0.07±0.06

Total

159

369

528

69

238

307

228

607

835

 

0.11±0.019

0.1±0.11

0.11±0.12 g

0.088±.007

0.0793±0.08

0.08±0.08

0.102±0.16

0.094±0.10

0.098±0.1

a: Significant difference between (indirect ) <&> 5 years.                                                       

 b: Significant difference between (direct)  <&> 5 years                                                          

 C: Significant difference between (indirect & direct) < 5 year    

 d: Significant difference between (indirect & direct) in > 5 yeas  e:Significant difference between(male & female)  < 5 years          

 f: Significant difference between (male & female) > 5 years            

g: Significant difference between (total ) <&> 5 years

 

 

 

 

 

 

References

 

Barsouk A, Thandra KC, Saginala K and Rawl(2021):

         Chemical Risk Factors of Primary Liver Cancer:                UpdateHepatic Medicine: Evidence and Research.12:179-188 .

 

Beutler ED and Kelly BM.(1963):

Improved method for the determination of blood glutathione. Lab Clin Med. 1963 May;61:882-8.

 

Dönbak L, Rencüzoğullari E andTopaktas M (2006):

A biomonitoring study on the workers from textile dyeing plants. Russian Journal of Genetics volume 42: 613–618(2006).

 

DoumesBT, Watson WA and Biggs HC. (1971):

  Albumin standards and the measurement of serum                   albumin with bromocresol green.Clin.Chim. Acta,31: 87-96.

 

Fabiny DL andErtingshausen G. (1971):

         Automated reaction-rate method for determination of serum creatinine with the CentrifiChem. Clin Chem.  17(8):696-700.

 

Halimon N and Yin RGS (2010):

                Metals from Textile Waste water Using Zeolite . Environment Asia 3 : 124-130.

 

Hemmingsen L, Skaarup P. (1985):

               Beta 2-microglobulin in urine and serum determined by ELISA technique. Scand J Clin Lab Invest.  45(4):367-71.

 

Jaiswal A, (2007) :

               Healthstatus of Textile industrial workers of Utter Pradesh, India. (1st Summer School of the European Anthropological Association), EAA Summer School eBook 1: 217-223.

 

Kaplan A. (1984):

             Urea. Clin Chem. Pbl. The C.V. Mosby Co. St Louis. Toronto. Princeton, PP.  1257-1260 and 437 and 418.

 

Kazmi F, Shakoori AR, Hafeez MA and Ali SS (2003):

            Short term effects of chlorpyrifos on hematology and biochemical components of blood of the Sprague-Dawley rat. 2003Pakistan Journal of Zoology 35(3):237-243.

 

 

 

Liaqat I, Arshad M, Arshad R and Arshad N(2009):

Exposure to Textile Chemicals Leads to Microcytic Anemia and Hypersensitivity in Textile Workers. Pakistan J. Zool. 41(5) : 381-387.

 

Manzoorand J and Sharma M(2020):

 In book: Impact of Textile Dyes on Human Health and Environment. Chapter 8 Copyright © 2020, IGI Global :162-169. DOI:10.4018/978-1-7998-0311-9.ch008.

 

Mohammed AM, Hegazy IS, and Rizk SA(2013):

          SA(2013):Studying the impact of exposure to organic solvents on kidney function in occupationally exposed workers. Journal of Applied Sciences Research. 9(4):3233-3243.

 

Momodu M and Anyakora C. (2010):

 Heavy Metal Contamination of Groundwater: The Surulere Case Study. Res.j.Environ. Earth Sci. 2(1): 39-43.

 

Mulla IG, Nagane NS, Pratap E and Jagtap PE (2018):

 Levels of Liver Markers in Textile Processing and    Dyeing Industry Workers. Biomedical and Clinical Research vol(4) Iss 52-56.

 

 

Müller JM, Kiel D and Voigt K (2018):

 What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability. Sustainability 2018, 10 (1):247.

 

Pompella A, Visvikis A and Paolicchi A (2003): The

 Changing Faces of Glutathione, A Cellulat Protagonist. Biochem. Pharmacol. 66 (8): 1499-503.

 

Ramasarma T.(2007): Many faces of superoxide

 dismutase, originally known as erythrocuprein. Curr Sci. 2007;92:184–91.

 

Rec. GSCC, (1972):

 Determination of Alkaline Phosphatase. Clin.Chem.Klin. Biochem, 10:281-291.

 

Rietman S and Frankel S. (1957): A calorimetric

method for the determination of serum glutamate oxaloacetate and glutamate pyruvate transaminase. Am. J. Clin. Pathol. 28: 56-63.

 

 

 

Schultz A (1984): Uric acid. Kaplan A etal.ClinChem

.1261-1266 and 418.

 

Shimizu H, Kumada T, Nakano S and Kiriyama S(2002):

Liver dysfunction among workers handling 5-nitro-o-   toluidine.Gut. 2002 50(2): 266–270.

 

SibelBayil (2008): How volatile organic compounds

 affect free radical and antioxidant enzyme activity in Textile workers. Arhivzahigijenurada i toksikologiju : 59 ( 4) :1254-1259.

 

Soyinka OO, Francis A, Adeniyi FA and Ajose OA.(2007):

Biochemical parameters of liver function in artisans occupationally exposed to “vat dyes” . Indian J Occup Environ Med. (2007): 11(2): 76–79.

 

Szasz G. (1976):

Reaction-rate method for gamma-glutamyltransferase activity in serum Clin Chem.  22(12):2051-5.

 

Uchiyama M, Mihara M.(1978). Determination of

malonaldehyde precursor in tissues by thiobarbituric acid test. Anal Biochem.  86: 279–286.

Vallianou NG, Mitesh S, Gkogkou A, and Geladari E. (2019):

Chronic Kidney Disease and Cardiovascular Disease: Is there Any Relationship?CurrCardiol Rev.  15(1): 55–63.

 

WernliKJ ,  Fitzgibbons E D,  Ray RM and  Gao DL(2006):

Occupational Risk Factors for Esophageal and Stomach Cancers among Female Textile Workers in Shanghai, China . American Journal of Epidemiology, Volume 163, Issue 8, 15 April 2006, Pages 717–725.

 

WHO (2006).( World Health Organization ) ; Preventing

Disease Through Health  Environments. Towards an estimate of the environmental burden of disease Geneva , Switzerland.

 

Winterbourn CC, Hawkins RE, Brian M, Carrell RW(1975)

The estimation of red cell superoxide dismutase activity. J Lab Clin Med. 85:337–41.

 

Yildirim I, Kilinc M, Okur E, Tolun F Iand KilicMA (2007):

The Effects of Noise on Hearing and Oxidative Stress in Textile Workers.Industrial Health .2007; 45 :743-749.

 

 

 

بعض القياسات الفسيولوجيه لوظائف للکبد والکلى کمؤشر

لصحة عمال النسيج فى مصر

 

هويدا عبد الفتاح السيد فاضل

 

قسم کيمياء التغذية ، المعهد القومي للتغذية ، القاهرة .

 

الملخص العربي

 

الدراسة الحالية هي جزء من المشروع الذي ينفذه المعهد القومي للتغذية لتقييم اثر التلوث على صحة العمال المعرضين مهنيا في بعض الصناعات في مصر ,حيث تضمنت القياسات الفسيولوجية  المختلفة للدم والبول لمجموعة 1816 عامل تم اختيارهم عشوائيا من سبعة مصانع نسيج موزعة في خمس محافظات .وتم مقارنتها مع الاخذ فى الاعتبار کلا من الجنس (ذکر او انثى) ومدة العمل (اقل او اکثرمن خمس سنوات ) واخيرا مکان العمل (مباشر او غير مباشر من التعرض لخط الانتاج) .اشارت النتائج الى ان التحليل لمضادات الاکسدة (GSH, MDA and cu/znSOD) کانت القيم المتوسطة GSH ,  cu/znSODاعلى بشکل ملحوظ عند الذکور ,في حين ان متوسط قيمة MDA لم يتاثر بالجنس. اظهرت النتائج ان متوسط  MDA وقيمةcu/znSOD في المجموعة غيرمباشرة من الفئات الثانية زاد بشکل کبير عن المجموعة المقابلة في الفئة الاولى و زادت القيمة المتوسطة لمستوى MDAللمجموعات غيرالمباشرة والمباشرة في الفئة الاولى بشکل کبير من المجموعات المقابلة من الفئات الثانية. من ناحية اخرى لم يتاثر متوسط قيمة GSH بمدة الوظيفة وفقا لمکان العمل , کانت هناک زيادة کبيرة في متوسط قيمة GSH للعاملين المباشرين مقارنة بالعاملين غير المباشرين في الفئة الثاينة. في حين ان متوسط قيمة cu/znSOD في العمال المباشرين من نفس الفئة الاولى کان لديهم زيادة کبيرة مقارنة بالقيمة غير مباشرة من نفس الفئة بينما لم تتاثر قيمة MDA بمکان العمل. على مستوى المجموعة الاجمالية في کل من في الفئة الثانية زيادة کبيرة مقارنة بالمجموعة الکلية GSH و MDA في الفئة الاولى واظهرت الدراسة الحالية ان نتائج بعض قياسات البيوکميائية کمؤشرات لوظائف الکبد التي لوحظت في بعض مکونات الدم ترتبط بالعمرو مدة الوظيفة والجنس في حين ان البعض الاخر يتاثر بمدة العمل فقط .من ناحية اخرى تغير کبيرفي ALP فى انزيم  وقيمة البومين البلازما تتعلق بمکان العمل .وکانت نتائج بعض المتغيرات البيوکميائية کمؤشرات لوظائف الکلى تتغير حسب الجنس ومدة الوظيفة ومکان العمل.

 

 
Barsouk A, Thandra KC, Saginala K and Rawl(2021):
         Chemical Risk Factors of Primary Liver Cancer:                UpdateHepatic Medicine: Evidence and Research.12:179-188 .
 
Beutler ED and Kelly BM.(1963):
Improved method for the determination of blood glutathione. Lab Clin Med. 1963 May;61:882-8.
 
Dönbak L, Rencüzoğullari E andTopaktas M (2006):
A biomonitoring study on the workers from textile dyeing plants. Russian Journal of Genetics volume 42: 613–618(2006).
 
DoumesBT, Watson WA and Biggs HC. (1971):
  Albumin standards and the measurement of serum                   albumin with bromocresol green.Clin.Chim. Acta,31: 87-96.
 
Fabiny DL andErtingshausen G. (1971):
         Automated reaction-rate method for determination of serum creatinine with the CentrifiChem. Clin Chem.  17(8):696-700.
 
Halimon N and Yin RGS (2010):
                Metals from Textile Waste water Using Zeolite . Environment Asia 3 : 124-130.
 
Hemmingsen L, Skaarup P. (1985):
               Beta 2-microglobulin in urine and serum determined by ELISA technique. Scand J Clin Lab Invest.  45(4):367-71.
 
Jaiswal A, (2007) :
               Healthstatus of Textile industrial workers of Utter Pradesh, India. (1st Summer School of the European Anthropological Association), EAA Summer School eBook 1: 217-223.
 
Kaplan A. (1984):
             Urea. Clin Chem. Pbl. The C.V. Mosby Co. St Louis. Toronto. Princeton, PP.  1257-1260 and 437 and 418.
 
Kazmi F, Shakoori AR, Hafeez MA and Ali SS (2003):
            Short term effects of chlorpyrifos on hematology and biochemical components of blood of the Sprague-Dawley rat. 2003Pakistan Journal of Zoology 35(3):237-243.
 
 
 
Liaqat I, Arshad M, Arshad R and Arshad N(2009):
Exposure to Textile Chemicals Leads to Microcytic Anemia and Hypersensitivity in Textile Workers. Pakistan J. Zool. 41(5) : 381-387.
 
Manzoorand J and Sharma M(2020):
 In book: Impact of Textile Dyes on Human Health and Environment. Chapter 8 Copyright © 2020, IGI Global :162-169. DOI:10.4018/978-1-7998-0311-9.ch008.
 
Mohammed AM, Hegazy IS, and Rizk SA(2013):
          SA(2013):Studying the impact of exposure to organic solvents on kidney function in occupationally exposed workers. Journal of Applied Sciences Research. 9(4):3233-3243.
 
Momodu M and Anyakora C. (2010):
 Heavy Metal Contamination of Groundwater: The Surulere Case Study. Res.j.Environ. Earth Sci. 2(1): 39-43.
 
Mulla IG, Nagane NS, Pratap E and Jagtap PE (2018):
 Levels of Liver Markers in Textile Processing and    Dyeing Industry Workers. Biomedical and Clinical Research vol(4) Iss 52-56.
 
 
Müller JM, Kiel D and Voigt K (2018):
 What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability. Sustainability 2018, 10 (1):247.
 
Pompella A, Visvikis A and Paolicchi A (2003): The
 Changing Faces of Glutathione, A Cellulat Protagonist. Biochem. Pharmacol. 66 (8): 1499-503.
 
Ramasarma T.(2007): Many faces of superoxide
 dismutase, originally known as erythrocuprein. Curr Sci. 2007;92:184–91.
 
Rec. GSCC, (1972):
 Determination of Alkaline Phosphatase. Clin.Chem.Klin. Biochem, 10:281-291.
 
Rietman S and Frankel S. (1957): A calorimetric
method for the determination of serum glutamate oxaloacetate and glutamate pyruvate transaminase. Am. J. Clin. Pathol. 28: 56-63.
 
 
 
Schultz A (1984): Uric acid. Kaplan A etal.ClinChem
.1261-1266 and 418.
 
Shimizu H, Kumada T, Nakano S and Kiriyama S(2002):
Liver dysfunction among workers handling 5-nitro-o-   toluidine.Gut. 2002 50(2): 266–270.
 
SibelBayil (2008): How volatile organic compounds
 affect free radical and antioxidant enzyme activity in Textile workers. Arhivzahigijenurada i toksikologiju : 59 ( 4) :1254-1259.
 
Soyinka OO, Francis A, Adeniyi FA and Ajose OA.(2007):
Biochemical parameters of liver function in artisans occupationally exposed to “vat dyes” . Indian J Occup Environ Med. (2007): 11(2): 76–79.
 
Szasz G. (1976):
Reaction-rate method for gamma-glutamyltransferase activity in serum Clin Chem.  22(12):2051-5.
 
Uchiyama M, Mihara M.(1978). Determination of
malonaldehyde precursor in tissues by thiobarbituric acid test. Anal Biochem.  86: 279–286.
Vallianou NG, Mitesh S, Gkogkou A, and Geladari E. (2019):
Chronic Kidney Disease and Cardiovascular Disease: Is there Any Relationship?CurrCardiol Rev.  15(1): 55–63.
 
WernliKJ ,  Fitzgibbons E D,  Ray RM and  Gao DL(2006):
Occupational Risk Factors for Esophageal and Stomach Cancers among Female Textile Workers in Shanghai, China . American Journal of Epidemiology, Volume 163, Issue 8, 15 April 2006, Pages 717–725.
 
WHO (2006).( World Health Organization ) ; Preventing
Disease Through Health  Environments. Towards an estimate of the environmental burden of disease Geneva , Switzerland.
 
Winterbourn CC, Hawkins RE, Brian M, Carrell RW(1975)
The estimation of red cell superoxide dismutase activity. J Lab Clin Med. 85:337–41.
 
Yildirim I, Kilinc M, Okur E, Tolun F Iand KilicMA (2007):
The Effects of Noise on Hearing and Oxidative Stress in Textile Workers.Industrial Health .2007; 45 :743-749.