Assessment of ex-situ chemical washing of heavy metals from estuarine sediments around an industrial harbor in Southern Taiwan

Background: The prevalence of chronic kidney disease (CKD) is increasing annually in Taiwan. In addition to traditional risk factors, heavy metals contribute to the development of CKD. The aim of this study was to investigate associations among heavy metals and proteinuria and CKD in the general population in Southern Taiwan. We also explored the interaction and synergetic effects among heavy metals on proteinuria. Methods: We conducted a health survey in the general population living in Southern Taiwan between June 2016 and September 2018. Seven heavy metals were measured: blood lead (Pb) and urine nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), copper (Cu), and cadmium (Cd). Proteinuria was measured using reagent strips. CKD was defined as an estimated glomerular filtration rate (eGFR) of <60 mL/min/1.73 m2. Results: The mean age of the 2447 participants was 55.1 ± 13.2 years and included 977 males and 1470 females. Participants with high blood Pb and high urine Ni, Mn, Cu, and Cd were significantly associated with proteinuria. Interactions between blood Pb and urine Cr, and between urine Cd and Cu, had significant effects on proteinuria. The participants with high blood Pb and high urine Cu were significantly associated with an eGFR of <60 mL/min/1.73 m2. Conclusion: High blood Pb and high urine Cu may be associated with proteinuria and an eGFR of <60 mL/min/1.73 m2. High urine Ni, Mn, and Cd were significantly associated with proteinuria. Co-exposure to Cd and Cu, and Pb and Cr, may have synergistic effects on proteinuria.

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Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices

Nutrients ◽

10.3390/nu12092666 ◽

2020 ◽

Vol 12 (9) ◽

pp. 2666 ◽

Cited By ~ 1

Author(s):

Wei-Lun Wen ◽

Chih-Wen Wang ◽

Da-Wei Wu ◽

Szu-Chia Chen ◽

Chih-Hsing Hung ◽

...

Keyword(s):

Heavy Metals ◽

Metabolic Syndrome ◽

Multivariable Analysis ◽

Significant Trend ◽

Volume Index ◽

Visceral Adiposity Index ◽

Anthropometric Indices ◽

Adiposity Index ◽

Body Adiposity ◽

Southern Taiwan

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; p = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; p < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear p ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.

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Bioavailability of heavy metals bound to estuarine sediments as a function of pH and salinity values

Chemical Speciation and Bioavailability ◽

10.3184/095422903782775163 ◽

2003 ◽

Vol 15 (4) ◽

pp. 101-114 ◽

Cited By ~ 78

Author(s):

I. Riba ◽

E. García-Luque ◽

J. Blasco ◽

T. A. DelValls

Keyword(s):

Heavy Metals ◽

Estuarine Sediments

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Association of Heavy Metals with Overall Mortality in a Taiwanese Population

10.21203/rs.3.rs-277882/v1 ◽

2021 ◽

Author(s):

Yi-hsueh Liu ◽

Chih-Wen Wang ◽

Da-Wei Wu ◽

Wen-Hsien Lee ◽

Ying-Chih Chen ◽

...

Keyword(s):

Heavy Metals ◽

Multivariate Analysis ◽

General Population ◽

Confidence Interval ◽

Health Issues ◽

Taiwanese Population ◽

Southern Taiwan ◽

The Relationship ◽

Overall Mortality

Abstract Previous studies have shown links between heavy metals and many health issues. However, data on the association between heavy metals and mortality in the general population are still limited. Therefore, the aim of this study was to investigate the relationship between heavy metals and overall mortality in the general population. We enrolled 2,497 participants (1,001 males and 1,496 females) living in southern Taiwan, and measured levels of seven heavy metals: lead (Pb) in blood and cadmium (Cd), nickel (Ni), copper (Cu), chromium (Cr), manganese (Mn) and arsenic (As) in urine. The median follow-up period was 41.8 (4-50) months, during which 40 (1.6%) patients died. Compared to the participants who survived, those who died had higher urine Cd, higher urine Cu and lower urine Mn levels. Multivariate analysis showed that high urine Cd (per 1 mg/L; hazard ratio [HR], 1.352; 95% confidence interval [CI], 1.089-1.680; p = 0.006), high urine Cu (per 1 mg/dL; HR, 1.350; 95% CI, 1.151-1.583; p < 0.001), and low urine Mn (per 1 mg/L; HR, 0.717; 95% CI, 0.557-0.923; p = 0.010) were associated with increased overall mortality. In conclusion, our results demonstrated that high levels of urine Cd and Cu and low urine Mn level were associated with increased overall mortality in general population.

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Enrichment of heavy metals as function of salinity and pH of estuarine sediments, South East Coast of India

Geology Ecology and Landscapes ◽

10.1080/24749508.2021.1952764 ◽

2021 ◽

pp. 1-9

Author(s):

R. Rumuri ◽

T. Ramkumar ◽

S. Vasudevan ◽

G. Gnanachandrasamy

Keyword(s):

Heavy Metals ◽

East Coast ◽

Estuarine Sediments ◽

East Coast Of India

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Multivariate analyses on heavy metal binding fractions of river sediments in Southern Taiwan

Water Science & Technology ◽

10.2166/wst.2000.0569 ◽

2000 ◽

Vol 42 (7-8) ◽

pp. 193-199 ◽

Cited By ~ 8

Author(s):

K. C. Yu ◽

C. Y. Chang ◽

L. J. Tsai ◽

S. T. Ho

Keyword(s):

Heavy Metals ◽

Heavy Metal ◽

Organic Matter ◽

Metal Binding ◽

River Sediments ◽

Principal Component ◽

Fe Oxides ◽

Data Points ◽

Southern Taiwan ◽

Highly Correlated

This study depicts the amounts of heavy metals (Cu, Zn, Pb, Cr, Co, and Ni) bound to four geochemical compositions of sediments (carbonates, Mn oxides, Fe oxides, and organic matters), and the correlations between various geochemical compositions and their heavy-metal complexes. Hundreds of data, obtained from sediments of five main rivers (located in southern Taiwan), were analyzed by using multivariate analysis method. Among the four different geochemical compositions, the total amount of the six heavy metals bound to organic matter is the highest. Zn is easily bound to various geochemical compositions, especially carbonates in sediments of the Yenshui river and the Potzu river (i.e., the heavily heavy-metal polluted sediments); Cr, Pb, and Ni are mainly bound to both Fe oxides and organic matter; Cu has high affinity to organic matter. By performing principal component analyses, the data points of organic matter and both Pb and Cu associated with organic matter cluster together in sediments ofthe Peikang, the Potzu, and the Yenshui rivers, which indicates both Pb and Cu might be discharged from the same pollution sources in these rivers. Moreover, correlations between any two binding fractions of heavy metal associated with Fe oxides in different rivers are not consistent, which indicates some factors including the binding sites of Fe oxides, the extent of heavy metal pollution, binding competitions between heavy metals may affect the amounts of heavy metals bound to Fe oxides. Furthermore, it should be noted that the amount of Pb bound to Fe oxides is highly correlated with the amount of Fe oxides in sediments of the Peikang, the Potzu, and the Yenshui rivers.

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