ArticleBMC public health2025
The independent and interactive effects of heavy metal pollution and vitamin D deficiency on early kidney injury indicators: analysis of the National Health and Nutrition Examination Survey 2001-2004.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Environmental Pollution and Its Impact on Kidney Diseases: A Comprehensive Review of Current Evidence.Life (Basel, Switzerland) · 2026Review
- Biomonitoring of heavy metal exposure and determinants of occupational risk in welders in Arba Minch Ethiopia.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundHeavy metals (e.g., cadmium, lead, mercury, etc.) can infiltrate the human body via diverse routes, with a propensity to accumulate in the kidney cortex, thereby precipitating kidney dysfunction. Vitamin D has been implicated in mitigating the oxidative stress and inflammatory reactions triggered by heavy metal exposure. However, the interplay between heavy metal toxicity and vitamin D deficiency in the context of incipient kidney injury remains an underexplored area of research.
methodsUtilizing data from the National Health and Nutrition Examination Survey spanning from 2001 to 2004, Our methodology leveraged spline smoothing within the framework of generalized additive models to more vividly elucidate the impact of heavy metal exposure and serum vitamin D levels on the trajectory of early kidney injury biomarkers (including albumin-to-creatinine ratio, β-2 microglobulin (B2M), cystatin C (CYST), and estimated glomerular filtration rate (eGFR) (serum creatinine(SCr)-based(eGFR), CYST-based eGFR, and SCr-CYST-based eGFR). Furthermore, we conducted an interaction analysis to assess the combined effects of heavy metal exposure and vitamin D deficiency on early kidney injury.
resultsThe cohort comprised 2,422 adults. Our results indicated that cadmium levels were positively correlated with B2M, CYST, and negatively correlated with eGFRc, eGFRs. Similarly, lead levels showed a positive correlation with ACR, B2M, and CYST, and negative correlation with eGFRc, eGFRc&s. In contrast, mercury levels were negatively correlated with B2M, CYST and positively correlated with eGFRc. In addition, there was an interaction between lead exposure and vitamin D deficiency in early kidney injury indicators (P for interaction: B2M: 0.028, CYST: 0.038, eGFRc&s: 0.011).
conclusionsThis study suggests a correlation between exposure to cadmium and lead and an increased risk of early kidney injury. It highlights the potential importance of targeted vitamin D supplementation and reduction in lead exposure in mitigating early kidney injury. However, these findings warrant validation through further prospective research.
Indexed as
Identifiers
What OpenQuestion holds
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.