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Heavy Metal Index

de Efectos Biológicos de Contaminantes Ambientales, Buenos Aires 1121, Argentina;

Source

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

Page snapshot
Cited by3 pages
Metals measured1
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:

  • Attribution (CC BY) license. 10 million deaths in 2020, with the global burden projected to increase by 47% over the
  • cytoskeletal rearrangements and changes in lipid distribution (5). Figure 1 illustrates the
  • 85% of all lung cancer cases (58). Cigarette smoking is also linked to other types
  • the endocrine system (61). Epidemiological studies show that over 80% of smokers
  • Table 1 summarizes the specific contaminants reviewed, the target cells and signaling
  • cells for a CSC-like phenotype by the production of EVs, since CAsE-PE secretes 700%
  • is enriched with iron (16). These EVs act as veritable oxidative stress bombs. After being
  • model with mice administered an intratracheal suspension of 20 mg/kg of PM2.5 every
  • Table 1. Summary of the mechanisms by which EDCs modulate EV biogenesis and cargo to drive

Methods (brief)

  • from the same urine samples (48). These urinary EVs, secreted by the kidney, urothelium,
  • findings underscore the utility of urine samples in basic science and toxicology to detect
  • samples target pathways in urine dysregulation
  • trackable in both retrospective archival biological samples and prospective clinical cohorts.
    1. Tweed, J.O.; Hsia, S.H.; Lutfy, K.; Friedman, T.C. The endocrine effects of nicotine and cigarette smoke. Trends Endocrinol. Metab.

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