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Heavy Metal Index

Archives of Toxicology (2023) 97:2625–2641

Source

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

Page snapshot
Cited by7 pages
Metals measured5
Evidence tierB
Year2023

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:

  • and 200 nM) that covers the range of Hg concentrations typically found in human maternal blood during DE cell induction.
  • the developmental effects of MeHg exposure on non-brain 4% oxygen ­(O2) and 10% carbon dioxide ­(CO2) in a tri-gas
  • reached around 85%. Only hESCs under passage 40 (within MeHg by 1000 × dilution of the stock solutions in induction
  • 10% carbon dioxide ­(CO2) with daily medium change. When Cell viability was determined by a Cell Counting Kit 8
  • the cell confluency reached around 20%–30%, the growth (WST-8/CCK8) (Catalog no. ab228554, Abcam Inc.)
  • fixing with 4% paraformaldehyde (Santa Cruz Biotechnol- exposed to MeHg as described above. At the end of induc-
  • 5% bovine serum albumin (BSA) diluted in PBS containing gently lifted by StemPro Accutase cell dissociation reagent
  • 0.3% Triton X-100 (Sigma-Aldrich). The cells were, respec- after rinsing by PBS. Then the cells were centrifuged and
  • diluted at 1:500 in 5% BSA at 4 °C, overnight. Prolong Gold point (before induction, during induction and after induc-
  • MeHg chloride (purity: 99.9%) was obtained from Sigma- MeHg doses used for RNA sequencing were chosen
  • 0.3, 0.4, 0.5, 1, 5 and 10 mM). hESCs were seeded in six- maternal blood (Table 1). The final doses of 0, 10, 100,
  • fluency of around 20%–30%. The cells were then exposed sequencing as these doses did not induce significant cell
  • to 0 (DMSO as vehicle control), 0.001, 0.01, 0.1, 0.2, 0.3, death and covered the range of Hg concentrations typi-
  • Table 1 Maternal blood concentrations of Hg in different populations
  • Plus containing 10% β-mercaptoethanol (β-ME). The cell bioin​forma​tics.​babra​ham.​ac.​uk/​proje​cts/​fastqc/). All analy-
  • 10,000 rpm, 70% ethanol was added to the flow-through, the “edgeR” package (Robinson et al. 2010). Boxplots
  • mental toxicity of MeHg on hESCs while differentiating Cell lysate samples were electrophoresed on 4–20%
  • et al. 2021), to calculate the benchmark doses (BMD). The ranged from 20 to 24 μg between different batches. Gels
  • Reverse transcription quantitative polymerase with 5% non-fat dry milk (NFDM, Catalog no. 1706404;
  • chain reaction (RT‑qPCR) Bio-Rad) or 3% bovine serum albumin (BSA, Catalog no.
  • centration was determined using ­NanoDrop™ 2000 spec- with antibodies of interest (Table S2) diluted in their corre-
  • ment of the relative intensities of the 28 and 18 s ribosomal containing 0.1% Tween 20 (TBST) on a shaker for 5 min and
  • and reverse primers (Table S1), and 0.5 µl cDNA template ware (Bio-Rad) was used to quantify the band intensities,
  • for all primer pairs was between 90 and 110%. Final data stem cells (Sharma et al. 2022), the expression of autophagic
  • were normalized to the geometric mean of the three refer- protein markers (LC3B and SQSTM1, antibody information
  • ence genes (gapdh, hddc2 and znf324b) and the 0 nM group is shown in Table S2) was also measured by western blots
  • a total of 1163 DEGs were identified (Excel Table S1), with ing negative regulation of cell differentiation (GO:0045596),
  • being considered as significant. Data are presented as means ± SEMs et al. 2021; Roos et al. 2012), such as calcium signaling
  • age rank of DEGs based on their BMDs (Excel Table S3), LEFTY2 were also major genes involved in the endoderm
  • gered by increasing doses of MeHg (Excel Table S4). verification. In addition to the above genes, two other genes
  • embryonic stem cells (hESCs) during definitive endoderm showed close to 50% reduction in cell viability when
  • mal models (Bittencourt et al. 2019). This is supported by consistent, as 85% of DEGs in the 10 nM MeHg-dosed
  • findings in this study with respect to the effects of MeHg at group and 93% of DEGs in the 100 nM MeHg-dosed group
  • cells to DE cell differentiation. Data are presented as means ± SEMs differences between treatment and control groups with p < 0.05 being
  • with N = 4–6 for each protein. Each batch was first normalized to considered as significant marked by asterisk
  • promoted, abnormal organ development, and subsequently (Table 1). Our results suggest that the risk of MeHg during

Methods (brief)

  • RNA sample preparation and next‑generation
  • induced, and treated as described above. RNA samples Sequencing data analysis and marker selection
  • and mixed well by pipetting. The mixed sample solutions showed filtered data to reflect quantile normalization, and
  • for 15 s at 10,000 rpm. The flow-through was discarded, strate the clustering of samples in different groups. The R
  • possible residual Buffer RPE. To elute the RNA samples, (GO) functional enrichment and Kyoto Encyclopedia of
  • for 1 min, and the eluted RNA samples were stored imme- used as the cutoff for KEGG pathway analysis. Data were
  • The RNA samples were sent to Genome Quebec for GO functional enrichment analysis identified 32 GO
  • reads for each sample and three biological replicates for related GO terms was conducted using Cytoscape (https://​
  • downstream qPCR and western blot verification. 100 °C for 4 min after mixing with 4 × Laemmli sample
  • mental toxicity of MeHg on hESCs while differentiating Cell lysate samples were electrophoresed on 4–20%
  • RNA samples were prepared as described above. RNA con- the protein targets for 1 h at room temperature and incubated
  • samples were run for every primer pair. Reaction efficiency As autophagy plays a critical role in the differentiation of
  • malization of the samples (Fig. 3a, b). Based on the cutoff tiation (GO:0006413), and protein targeting to membrane
  • digestion and absorption (hsa04974) and calcium signaling 2015; Teo et al. 2011; Xuan and Sussel 2016), these genes
  • genes (DEGs). a Boxplot for transcriptomic samples after quan- represents relatively high gene expression levels. d–f Volcano plots
  • tile normalization. b PCA for transcriptomic samples after quantile of DEGs identified from 10 nM, 100 nM, and 200 nM MeHg expo-
  • responding to a gene and each column corresponding to a sample. (color figure online)

Implications

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Verification notes

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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