Evidence mapPaperPMID 40182674Full record

ReviewJournal of food science and technology2025

A review on the role of functional foods and derivatives for diabetes management.

Aswathy Nair, Rajamohanan Jalaja Anish, S Narayana Moorthy

Abstract readReview
In one paragraph

Review in Journal of food science and technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Aswathy NairDepartment of Biochemistry, University of Kerala, Trivandrum, 695581 India.
Rajamohanan Jalaja AnishDepartment of Biochemistry, University of Kerala, Trivandrum, 695581 India.
S Narayana MoorthyDivision of Crop Utilization, ICAR-Central Tuber Crops Research Institute, Sreekariyam, Thiruvananthapuram, Kerala 695017 India.ORCID 0000-0002-4470-1349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) is a global metabolic disorder affecting the quality of life. The continuous usage of hypoglycaemic agents can control diabetic pathogenesis in patient; however it is challenging to minimize the severe side effects and metabolic contraindications. So, it is necessary to find novel drug candidates or dietary derivatives with minimum side effects, and excellent biological efficacy to meet the demands of the growing population. As a metabolic disorder, DM requires a food based therapy for better recovery. Including various functional foods (legumes, spices and whole grains) in optimal quantity in routine diet can prevent the complications associated with DM. Recent research revealed that the functional foods (FFs) combinations can accelerate the recovery time, promote a clinical total effective rate, and minimize endothelial dysfunction and microvascular episodes, associated with diabetic pathogenesis and provides novel possibilities of cost-effective treatment options for DM management. Innovative technology associated with artificial intelligence (AI), imaging techniques, and metabolic engineering tools help to understand the signalling mechanisms associated with DM and reveal sensitive targets for novel drug interactions, further opening a crucial turning point in DM research. In conclusion, the current review summarized the direct intake of FFs or derivatives, such as food protein and bioactive peptides, can be exploited as promising anti-diabetic agents in the near future. AI's influential role in bioactive peptide design and revealing the newer targets of FFs and FF derivatives (FFDs) in signalling are appraised as promising approaches for DM management. The current findings point to the fact that regulated FFs intake along with health care monitoring can control the complications associated with DM. Graphical abstract:

Indexed as

Artificial intelligenceDiabetes mellitusFunctional foodsInsulin resistanceLegumesSpicesWhole grains

Identifiers

PMID40182674
PMCPMC11961806

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.