Evidence map›Paper›PMID 41893470›Full record

ArticleToxics2026

Environmental and Health Risk Assessments of Antibiotics and Heavy Metals in Manure in Liuyang City.

Yuli Jiang, Ziwen Guo, Manjun Miao, Xueduan Liu, Luhua Jiang

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

5 authors.

Yuli JiangSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Ziwen GuoSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Manjun MiaoSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Xueduan LiuSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Luhua JiangSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.

Funding

Hunan Provincial Key Research and Development Plan Grant No. 2022WK2017 and 2023NK2030National Natural Science Foundation of China Grant No. 52174341Yuelushan Labaratory Breeding Program No.YLS-2025-ZY02040
6 · The paper itself

Abstract

With the rapid growth of livestock farming, the use of antibiotics and heavy metals as feed additives has raised environmental and health concerns. This study systematically analyzed the contamination levels of antibiotics and heavy metals in manure samples collected from five farms of varying scales in Liuyang City, Hunan Province. Utilizing 16S rDNA high-throughput sequencing technology, the study also examined the structural and functional characteristics of manure microbial communities. Ecological risk and human health risk assessments were also conducted. Results revealed that antibiotic residues in pig manure were generally higher than those in chicken manure, with significant differences in antibiotic usage across farms of varying scales. Cu and Zn levels exceeded standards in some samples, particularly from small-scale farms. Microbial community structures showed marked differences, with pig manure exhibiting higher microbial diversity. Functional prediction indicated active metabolism, strong environmental adaptability, and robust pollutant degradation capacity. Risk assessments revealed moderate to high ecological and human health risks from certain antibiotics and heavy metals, with significant non-carcinogenic and carcinogenic risks particularly for children. The study emphasizes that rational control of antibiotic and heavy metal use, coupled with enhanced manure management and resource utilization, is crucial for safeguarding ecological security and public health.

Indexed as

combined pollutionmanuremanure microbial communitymicrobial function predictionMonte Carlo simulationrisk assessment

Identifiers

PMID41893470
PMCPMC13030225

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.