Evidence map›Paper›PMID 41975995›Full record

ReviewAnimals : an open access journal from MDPI2026

Research Progress on the Physiological Functions of Aspartic Acid and Its Applications in Animal Production.

Xiwen Zhang, Qi Luo, Yurong Zhao

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 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

3 authors.

Xiwen ZhangCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Qi LuoCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Yurong ZhaoCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.

Funding

The National Key R&D Program of China 2023YFD1301204the Scientific Research Project of Hunan Agricultural University 25SF042
6 · The paper itself

Abstract

Aspartic acid, a non-essential amino acid required for mammalian growth, has long been overlooked as a simple nutrient. It has been revealed that aspartic acid serves as a key node molecule in the tricarboxylic acid cycle and the urea cycle, and possesses biological activities such as antioxidant, anti-inflammatory, immunomodulatory, and lipid metabolism-regulating effects, garnering widespread attention in the medical, food, and animal husbandry industries. Due to its chiral structure, aspartic acid naturally exists in two configurations, L- and D-forms, which exhibit certain differences in function and chemical properties. In animal husbandry, both configurations of aspartic acid have been applied in various animal models, where they have demonstrated roles in promoting growth, alleviating oxidative stress, modulating immune stress, and regulating gut microbial community structure. Therefore, aspartic acid holds promise as a conditionally functional amino acid for application in animal production. This review summarizes the physicochemical properties, metabolic pathways, and transport mechanisms of aspartic acid, outlines its in vitro synthesis methods, elucidates its physiological functions, and comprehensively reviews the current applications of its different configurations in the field of animal husbandry. The aim is to provide a theoretical foundation for the use of aspartic acid as a green, low-cost, and safe conditionally functional amino acid in animal husbandry.

Indexed as

animal husbandryaspartate transporteraspartic acidbiologic activitymetabolism

Identifiers

PMID41975995
PMCPMC13072180

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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.