ReviewEnvironmental pollution (Barking, Essex : 1987)2025
Metals in the human liver: An underappreciated risk factor of hepatic insulin resistance and associated pathophysiology.
Review in Environmental pollution (Barking, Essex : 1987), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Mitophagy in Metabolic Dysfunction-Associated Fatty Liver Disease: Mechanisms, Regulatory Networks, and Therapeutic Perspectives.Inflammation · 2026Review
- Reliability Assessment of Metal Quantification in Formalin-fixed, Paraffin-embedded Human Liver Tissue for Studying Liver Diseases.Research square · 2026Article
- Understanding molecular mechanisms driving cadmium-induced mitochondrial dysfunction in human metabolic liver disease.Environmental toxicology and pharmacology · 2026Review
- Sustained cadmium exposure and hyperglycemia additively drives mitochondrial dysfunction in hepatic cells: Implications for MASLD etiopathogenesis.Toxicology and applied pharmacology · 2026Article
- Systemic effects of type 2 diabetes therapies: an integrated perspective on the cardio-renal- cerebral-metabolic axis.Frontiers in medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Insulin resistance is a major pathophysiological process underlying a variety of human metabolic disorders such as type II diabetes, obesity and metabolic (dysfunction) associated steatotic liver disease (MASLD). The etiology of insulin resistance and human metabolic disorders is complex, involving an interplay of genetics, gut microbiome, dietary intake, sedentary behavior, and environmental exposures. Of these, the role of environmental exposures is perhaps the least explored in the pathophysiology of insulin resistance. Due to a multitude of causal factors implicated in the etiopathogenesis of insulin resistance, it has been difficult to delineate specific roles of individual risk factors. However, from a biochemical and pathophysiological perspective, there are common cellular drivers that are universally accepted as key drivers of insulin resistance. These include-altered cell signaling, abnormal reactive oxygen species (ROS) production, mitochondrial dysfunction, and sustained bioenergetic imbalances. Target cell dysfunction is a common theme driving insulin resistance irrespective of the organ (e.g., liver, muscle and adipose tissue). While humans are exposed to numerous chemicals on a routine basis, some of the most potent environmental exposures implicated in chronic disease causation fall into the category of heavy metals. This review explores the role of sustained, low-dose heavy metal exposures in the specific context of hepatic insulin resistance. Despite being a major site for heavy metal accumulation with decades-long half-lives, our understanding of the long-term impacts of these heavy metals on human liver health remains minimal at the current time.
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Registered trials
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.