Evidence map›Paper›PMID 42515168›Full record

ArticleToxics2026

A Bioenergetic Framework for Microplastic Accumulation in Human Tissues: A Cellular Turnover Hypothesis.

Umberto Cornelli, Giuseppe Zanoni, Claudio Casella

Abstract read
In one paragraph

Article in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Umberto CornelliDepartment of Molecular Pharmacology and Therapeutics, School of Medicine, Loyola University, 2160 1st Ave, Maywood, IL 60660, USA.
Giuseppe ZanoniDepartment of Chemistry, University of Pavia, Viale Taramelli 12, 27100 Pavia, Italy.
Claudio CasellaDepartment of Chemistry, University of Pavia, Viale Taramelli 12, 27100 Pavia, Italy.ORCID 0000-0002-1806-4825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micro- and nanoplastics (MNPs) are now pervasive in human tissues, yet their biological behavior remains unexplained within conventional pharmacokinetic frameworks. Here, we propose that MNP distribution may follow a bioenergetic logic governed by cellular turnover and metabolic demand, rather than passive diffusion alone. Integrating the human autopsy literature datasets with programmatic biological parameters suggests that MNPs persist intracellularly and are propagated through cycles of cell death and renewal, establishing a previously unrecognized system of retention-driven recirculation. By integrating tissue-specific metabolic rates, macrophage abundance, and intracellular vulnerability indices across 19 organs, we define a hierarchy of susceptibility, with highest accumulation in the spleen, intestinal epithelium, lung, and bone marrow. This hierarchy maps onto clinical patterns of tissue dysfunction and supports a unifying mechanism in which oxidative stress, energetic instability, and chronic inflammation emerge as convergent responses to MNP burden. We further identify a minimal circulating signature-lactate, high-sensitivity C-reactive protein (hsCRP), and lactate dehydrogenase (LDH)-that reflects systemic bioenergetic disruption associated with MNP exposure. Together, this framework offers a conceptual shift from diffusion-limited to turnover-driven accumulation models, providing testable hypotheses for future prospective validation.

Indexed as

bioenergetic vulnerabilityChicago clusterC-reactive proteinlactate dehydrogenasemicro-nanoplasticsmicroplastic-induced syndrome (MI-Syn)

Identifiers

PMID42515168
PMCPMC13417828

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.