Evidence map›Paper›PMID 41550912›Full record

ReviewAquaculture nutrition2026

Early Nutritional Programing: Unlocking the Potential of Fish for Sustainable Aquaculture.

Shivendra Kumar, Aditi Banik, Maneesh Kumar Dubey, Prem Prakash Srivastava, Zsuzsanna J Sandor

Abstract readReview
In one paragraph

Review in Aquaculture nutrition, 2026. 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. Review
  2. Article
  3. Vitamin DApplied microbiology and biotechnology · 2026
    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

5 authors.

Shivendra KumarDepartment of Aquaculture, College of Fisheries (Dr. Rajendra Prasada Central Agricultural University), Dholi, Muzaffarpur, 843121, Bihar, India.ORCID https://orcid.org/0000-0001-5234-2465
Aditi BanikDepartment of Aquaculture, College of Fisheries (Dr. Rajendra Prasada Central Agricultural University), Dholi, Muzaffarpur, 843121, Bihar, India.
Maneesh Kumar DubeyDepartment of Aquaculture, College of Fisheries (Dr. Rajendra Prasada Central Agricultural University), Dholi, Muzaffarpur, 843121, Bihar, India.
Prem Prakash SrivastavaCollege of Fisheries (Dr. Rajendra Prasada Central Agricultural University), Dholi, Muzaffarpur, 843121, Bihar, India.
Zsuzsanna J SandorResearch Centre of Aquaculture and Fisheries, Hungarian University of Agricultural and Life Sciences, Anna liget. u. 35, 5540, Szarvas, Hungary, uni-mate.hu.ORCID https://orcid.org/0000-0002-5216-6964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutritional programing, which explores the link between early nutritional conditions and their long-term effects on animals, is a developing field within fish biology. Suboptimal nutritional status during early life is strongly associated with a higher risk of metabolic consequences later in life, including permanent growth retardation, impaired neural development, and disruption of important metabolic pathways. This association has been demonstrated by epidemiological evidence and subsequent studies conducted using fish models. It appears that fish raised on endogenous (maternally derived) and exogenous (larval feeding) diets from an early age may have comparable developmental and metabolic programing effects. Nutritional programing in fish has been shown to have an impact on survival, growth, cognitive advancement, and metabolism of nutrients. The influence of these programing effects may be facilitated by changes in metabolic pathways and the epigenetic regulation of gene expression during a critical window when bodies demonstrate great developmental plasticity. Thus, one strategy to encourage sustainable feeding practices in aquaculture may be nutritional programing. Furthermore, there is a significant death rate in the early stages of life within this critical window. This implies that the dynamics of wild populations may have quantifiable repercussions as a result of programing impacts. Numerous significant concerns remain unresolved due to the diversity of fish and the vast range of metabolic effects of programing. This review summarizes findings from fish models and emphasizes the existing knowledge gaps as well as key research priorities in the field of nutritional programing in fish.

Indexed as

epigeneticslarval fishmaternal nutritionmetabolic programing

Identifiers

PMID41550912
PMCPMC12808819

What OpenQuestion 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 OpenQuestion graph.