Skip to content
Heavy Metal Index

Influence of the GSTP1 rs1695 Polymorphism on Mercury Levels

Source

This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus.

Page snapshot
Cited by5 pages
Metals measured2
Evidence tierB
Year2026

Overview

This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus. It preserves source-level identity, routeable product/analyte scope, and exact extracted numeric lines for later human or fresh-context audit. It does not derive HMTc thresholds, percentiles, or brand-by-brand comparisons.

Key numbers

The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:

  • assess Hg levels and the GSTP1 rs1695 polymorphism. Hg levels ranged from 0.1 µg/g
  • to 6.5 µg/g (median = 1 µg/g, IQR = 1.43). Individuals with impaired memory and
  • mean Hg levels, compared to individuals with the GSTP1GG genotype (β = −0.46). These
  • in recent years, ASGM activity has increased by more than 90% in the Brazilian Amazon (3).
  • convenience sample (n = 178). For the present study, all adults (i.e., individuals aged over
  • coefficient of variation (CV) was below 15%. If the CV exceeded 15%, a fourth measurement
  • analyses remained within the acceptable range. Mercury levels above 2.0 µg/g of hair were
  • a significance level of 5% was adopted.
  • ranged from R7200, and most individuals consume fish and Brazilian nut at
  • least once a week (Table 1).
  • Table 1. Sociodemographic characteristics of participants, Rondônia, Amazon, Brazil, in 2023.
  • a Age in years; b Missing information from 2 individuals (n = 111); c Missing information from 1 individual
  • Mercury levels from the 113 samples ranged from 0.11 µg/g to 6.5 µg/g in the general
  • analysis (Table 2) and, therefore, were included as covariates in the subsequent analyses.
  • Table 3 presents the linear regression models exploring the association between neuro-
  • IC 95%: 2.18–6.60; p < 0.001) as did those with reduced muscle strength (β = 1.24; IC 95%:
  • Weinberg equilibrium, with the GSTP1 G allele frequency at 21.3% in the study population.
  • than those with the AA genotype, after adjusting for sex, age and fish consumption (Table 4).
  • Table 2. Linear regression models between sociodemographic characteristics and mercury exposure
  • (IQR) Estimate (β) Standard Error 95% CI p-Value
  • Table 3. Linear regression models between neurological evaluation outcomes and mercury exposure
  • (n = 113) Estimate (β) Standard Error 95% CI p-Value
  • every 1 µg/g increase in mean mercury levels, the score on the delayed recall test decreases
  • for each 1 µg/g increase in mean mercury levels (p-value = 0.04; Adjusted R2 = 0.16),
  • Table 4. Linear regression models between the GSTP1 SNP and mercury exposure levels, Sete de
  • Estimate (β) Standard Error 95% CI p-Value a
  • polymorphism remained statistically significant (Supplementary Tables S2 and S3). The
  • main characteristics of these individuals are described in Table 5. Most of the individuals
  • had the GSTP1 rs1695 AA genotype and almost 90% of them presented at least one alteration
  • Table 5. Sociodemographic characteristics of the 26 participants with Hg levels ≥ 2.0 µg/g, Rondônia,
  • a Age in years; b Missing information from 1 individual (n = 25); c fourteen people have never attended school
  • (n = 12). d Brazilian reais (BRL); e fish consumption at least once a month; f any alteration found during the
  • lives in an urbanized context and shows an obesity prevalence 20% higher than the average
  • range considered normal (≥6 figures identified) (42), yet it is already possible to observe an
  • polymorphism, even when the GSTP1 SNP is rearranged into the recessive model, may limit
  • digenous Territory, Rondônia, Amazon, Brazil, 2023; Table S2: Linear regression models between
  • levels ≥ 2.0 µg/g, Sete de Setembro Indigenous Territory, Rondônia, Amazon, Brazil, 2023; Table S3:
    1. Strange, R.C.; Jones, P.W.; Fryer, A.A. Glutathione S-Transferase: Genetics and Role in Toxicology. Toxicol. Lett. 2000,

Methods (brief)

  • collected using a validated methodology. Hair and oral mucosa cells were collected to
  • convenience sample (n = 178). For the present study, all adults (i.e., individuals aged over
  • underwent a neurological evaluation, and provided both hair and oral mucosa samples
  • (further details below) were included (n = 113). The sample of children will be included in
  • (D) clinical and laboratory assessments; (E) oral mucosal cells collection; (F) hair sample collection;
  • laboratory assessments were conducted (Figure 1D), hair and oral mucosa samples were
  • collected (Figure 1E,F), and anthropometric measures were taken. BMI was calculated as
  • 2.5. Biological Samples Collection
  • Hair samples of approximately 1 cm in diameter were collected from the occipital
  • total Hg dose (exposure levels). The samples were then stored in individually identified
  • Epithelial cells were collected from the oral mucosa using sterile swabs, to access the
  • of NaCl, and distilled water to a final volume of 1 L. Subsequently, the samples (swab stored
  • Total mercury (THg) from hair samples is known to be a reliable biomarker of MeHg
  • 30 days preceding sample collection (29,30). THg analysis in hair samples was performed
  • using the RA-915M mercury analyzer coupled with the PYRO-915+ pyrolysis unit (Lumex
  • in Hg(II) to its atomic state through thermal decomposition (pyrolysis) of the sample.
  • vs. mercury mass), using the Zeeman-effect background correction atomic absorption
  • spectrometry method (Zeeman AAS).

Implications

This page makes the source discoverable for category-level evidence routing. Values remain source-native and should be used only with the stated matrix, species, basis, geography, and censoring context from the paper. The page does not convert total mercury to methylmercury or use total arsenic as inorganic arsenic.

Wiki pages this source may touch

Verification notes

  • Identity check: DOI, raw handle, candidate cite-key, and SHA-256 were compared against existing wiki/sources/ pages before creation.
  • Full-PDF read: pdftotext -layout was run on the full PDF twice; extracted text hashes matched before the page was written.
  • Numeric verification: numeric/table-bearing lines were selected mechanically from the verified extraction and preserved without unit conversion or rounding.
  • Brand firewall: the worker skips PDFs when extracted numeric lines appear brand/manufacturer-sensitive; this page contains category-level or species-level evidence only.
  • HMTc firewall: no threshold, percentile, pass/fail, clean/dirty, or certification math is stated.

Update history

The five most recent substantive edits to this page, classified major (evidence or structure moved), correction (a published value or statement was wrong and has been fixed), or minor (narrative rewritten without changing the underlying evidence). Each description is derived from what the edit did to this page; the linked commit is the authoritative record, routine regeneration passes are excluded, and the full version history lives in git. When DOI minting comes online (see schema docs), each entry below will also link to a version-pinned DataCite DOI.

CommitDateChangeDescription
b01ec52c2026-08-04major2 sections added
d49e450f2026-08-03major5 sections added; narrative text revised