Evidence map›Paper›PMID 40332598›Full record

ArticleCell biology and toxicology2025

Panoramic lead-immune system interactome reveals diversified mechanisms of immunotoxicity upon chronic lead exposure.

Yifan Hong, Tianbao Ye, Hui Jiang, Aiting Wang, Boqian Wang, Yiyang Li, Haiyang Xie, Hongyu Meng, Chengxing Shen, Xianting Ding

Abstract read
In one paragraph

Article in Cell biology and toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

10 authors.

Yifan Hong *School of Life and Health Sciences, Fuyao University of Science and Technology, Fuzhou, 350109, People's Republic of China. hongyifan@fyust.edu.cn.
Tianbao Ye *State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China.
Hui Jiang *State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China.
Aiting WangState Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China.
Boqian WangState Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China.
Yiyang LiState Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China.
Haiyang XieState Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China.
Hongyu MengState Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China.
Chengxing ShenDepartment of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, People's Republic of China. shencx@sjtu.edu.cn.
Xianting DingState Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, People's Republic of China. dingxianting@sjtu.edu.cn.

Funding

China Postdoctoral Science Foundation GZC20241233National Key Research and Development Program of China 2022YFC2601700National Natural Science Foundation of China 31900633National Natural Science Foundation of China T2122002
6 · The paper itself

Abstract

Lead exposure is of high prevalence, and over a billion people are chronically exposed to alarming level of lead. Human immune system is highly vulnerable to lead, but the underlying mechanism remains unknown. Using single-cell mass cytometry and mass spectrometry-based proteomics, we performed a panoramic survey of lead targets at both cellular and molecular levels in murine immune system upon chronic lead exposure. We produced a single-cell landscape of lead, thiol metabolism and lead-induced toxicity across all immune cell types. We found that immune cells with extreme thiol metabolism are the most sensitive upon chronic lead exposure. It shows that CD4 + T cells and neutrophils are the most sensitive to lead, which is due respectively to a molecular mechanism rooted in their characteristic thiol metabolic capacity. Meanwhile, we found that lead accumulation by RBC further inflicted secondary toxicity to RBC phagocytes in spleen, e.g. macrophages and neutrophils. Unlike CD4 + T cells, which can be rescued by supplementation with thiol chelator, lead toxicity in these phagocytes cannot be effectively mitigated by thiol chelators. Overall, it forms a multiscale panoramic lead-immune system interactome upon chronic lead exposure, which provides valuable information for proactive prevention, therapy formulation and public health evaluation.

Indexed as

Immune SystemLeadAnimalsCD4-Positive T-LymphocytesErythrocytesFemaleHumansLead PoisoningMacrophagesMaleMiceMice, Inbred C57BLNeutrophilsProteomicsSpleenSulfhydryl CompoundsLeadSulfhydryl CompoundsCD4 + T cellChronic lead exposureImmunotoxicityNeutrophilThiol metabolism

Identifiers

PMID40332598
PMCPMC12058832

What OpenQuestion holds

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Registered trials

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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.