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. 2021 Jun 2;30(6):1170–1185. doi: 10.1007/s10646-021-02423-4

Table 5.

Correlative dependencies of parameters for two types of tissue (skeletal muscle and cardiac tissues), two types of areas for oxidative stress biomarkers, activities of metabolic and lysosomal enzymes, and level of substrates

Tissues Non-polluted area Polluted area
Dependencies R P Dependencies R P
Skeletal muscle tissue Al – ICDH 0.551 0.022 Al – ICDH 0.551 0.022
Fe – Lactate –0.514 0.035 Pb – AsAT/AlAT –0.542 0.035
Fe – Pyruvate –0.497 0.042 Pb – LDH 0.630 0.007
Pb – AsAT/AlAT –0.5158 0.033 AsAT/AlAT – ICDH 0.551 0.022
Pb – LDH 0.641 0.006 LDH – PDH 0.607 0.010
TAC – Si 0.495 0.044 KGDH – SDH 0.538 0.022
TAC – Fe –0.561 0.019 AAP – TBARS 0.576 0.012
TAC – Pyruvate 0.573 0.016 Pb – AcP 0.622 0.005
LDH – PDH 0.607 0.010 Al – Si −0.833 0.000
KGDH-SDH –0.538 0.026 Al – Zn 0.618 0.008
AcP – TAC –0.641 0.006 Cu – Si −0.698 0.002
Pb – LDH 0.630 0.007 Cu – Fe 0.618 0.008
Cardiac tissue Fe – AsAT 0.501 0.041 Ni – Si –0.824 0.000
Pb –AlAT 0.513 0.035 Ni – TAC –0.594 0.025
TBARS – ICDH 0.659 0.004 Si – Cu –0.632 0.015
TAC – Lactate 0.601 0.011 Si – Zn –0.671 0.009
TAC – PDH 0.540 0.025 Pb – SDH –0.549 0.022
ICDH – Pyruvate –0.503 0.040 TBARS – TAC 0.578 0.030
L/P – LDH –0.497 0.042 Zn – Ni 0.678 0.008
LAP – TAC –0.538 0.016 TBARS – AcP 0.632 0.005
Al – Ni 0.631 0.007
Zn – Si –0.896 0.000

The significance of differences in the different areas and tissues studied was examined using ANOVA for correlation test