Evidence map›Paper›PMID 41304463›Full record

ArticleToxics2025

Specific Hepatorenal Toxicity and Cross-Species Susceptibility of Eight Representative Pesticides.

Yue Liu, Ning Xu, Xinyu Song, Muchen Deng, Ranfeng Sun, Peilong Wang, Lidong Cao

Abstract read
In one paragraph

Article in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Antioxidants (Basel, Switzerland) · 2026
    Article
  2. Veterinary medicine international · 2026
    Article
  3. Review
  4. Review
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

7 authors.

Yue LiuSchool of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Ning XuInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0009-0006-3543-736X
Xinyu SongInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Muchen DengInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
Ranfeng SunSchool of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Peilong WangInstitute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Lidong CaoInstitute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.ORCID 0000-0001-7217-7102

Funding

Agricultural Science and Technology Innovation Program Grant No. ASTIP-1610072025010
6 · The paper itself

Abstract

Chronic exposure to pesticides poses significant hepatorenal toxicity risks, yet a systematic comparison of their effects across species and tissues is lacking. In this study, we systematically evaluated the cytotoxicity of eight pesticides using human (CCC-HEL-1 hepatocytes; 293T renal cells) and rodent (IAR hepatocytes; NRK renal cells) cellular models. Our results showed substantial variations in potency, with chlorothalonil exhibiting the highest toxicity (IC50 = 32.55 mg/L in 293T cells) and chlorpyrifos the lowest (IC50 = 444.5 mg/L in 293T cells). Principal component analysis revealed distinct species- and tissue-specific response patterns, highlighting the unique resistance of NRK cells. Mechanistic investigations demonstrated organ-specific biomarker alterations, such as elevated hepatic ALP and suppressed renal KIM-1. Remarkably, the MRP2 transporter exhibited tissue-specific divergence, being significantly downregulated in renal cells (all 8 pesticides,

Indexed as

biomarkerscross-species comparisonhepatorenal toxicityin vitro toxicologypesticide

Identifiers

PMID41304463
PMCPMC12656329

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.