Evidence map›Paper›PMID 41716321›Full record

ArticleFrontiers in veterinary science2026

Evaluation of arsenic, cobalt, nickel, lead, mercury, and titanium in goat blood and hair reared in Sicily and insights into blood biomarkers.

Francesco Fazio, Vincenzo Nava, Fabio Bruno, Patrizia Licata, Claudia Giannetto, Giuseppe Piccione, Antonio Cannuli, Salvatore De Caro, Francesca Aragona

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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

9 authors.

Francesco FazioDepartment of Veterinary Science, University of Messina, Messina, Italy.
Vincenzo NavaDepartment of Veterinary Science, University of Messina, Messina, Italy.
Fabio BrunoDepartment of Veterinary Science, University of Messina, Messina, Italy.
Patrizia LicataDepartment of Veterinary Science, University of Messina, Messina, Italy.
Claudia GiannettoDepartment of Veterinary Science, University of Messina, Messina, Italy.
Giuseppe PiccioneDepartment of Veterinary Science, University of Messina, Messina, Italy.
Antonio CannuliDepartment of Engineering, University of Messina, Messina, Italy.
Salvatore De CaroDepartment of Engineering, University of Messina, Messina, Italy.
Francesca AragonaDepartment of Veterinary Science, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Exposure to harmful trace elements can lead to their accumulation in various biological substrates, resulting in the development of acute and chronic diseases in humans and animals. The knowledge of bioaccumulation of trace elements in different biological substrates could provide important information on exposure to trace elements through the use of sentinel animals. The aim of this research was to study the potential bioaccumulation of various trace elements (Arsenic-As, Cobalt-Co, Nickel-Ni, Lead-Pb, Mercury-Hg and Titanium-Ti) in goat blood and hair and their relationship with haematological biomarkers. Methods: Hair was collected from 25 non-pregnant and non-lactating clinical healthy goats aged between 2 and 3 years reared in Sicily, to determine trace elements concentration by means of inductively coupled plasma mass spectrometer (ICP-MS). Blood in duplicate was collected at the same time to determine trace element concentration and haematological profile. A paired Results and discussion: Statistical analysis showed a significant higher concentration of As (

Indexed as

blood biomarkersgoathairone healthtrace elements

Identifiers

PMID41716321
PMCPMC12914722

What Socratic holds

Textmetadata
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 Socratic graph.