Evidence mapPaperPMID 41567168Full record

ReviewFood science & nutrition2026

Mitigation of Metabolic Diseases Through Personalized Nutrition: A Critical In-Depth Review.

Muhammad Tayyab Arshad, M K M Ali, Farhang Hameed Awlqadr, Sammra Maqsood, Ali Ikram, Md Sakhawot Hossain, Muhammed Adem Abdullahi, M M Rashed

Abstract readReview
In one paragraph

Review in Food science & nutrition, 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

8 authors.

Muhammad Tayyab ArshadFunctional Food and Nutrition Program, Center of Excellence in Functional Foods and Gastronomy, Faculty of Agro-Industry Prince of Songkla University Songkhla Thailand.ORCID https://orcid.org/0009-0007-5290-7631
M K M AliDepartment of Physics, College of Sciences Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh Saudi Arabia.
Farhang Hameed AwlqadrFood Science and Quality Control, Halabja Technical College Sulaimani Polytechnic University Sulaymaniyah Iraq.ORCID https://orcid.org/0000-0002-1737-5920
Sammra MaqsoodNational Institute of Food Science and Technology University of Agriculture Faisalabad Faisalabad Pakistan.ORCID https://orcid.org/0000-0001-6650-9203
Ali IkramUniversity Institute of Food Science and Technology The University of Lahore Lahore Pakistan.ORCID https://orcid.org/0000-0002-2893-4249
Md Sakhawot HossainDepartment of Nutrition and Food Engineering Daffodil International University Dhaka Bangladesh.ORCID https://orcid.org/0000-0001-7143-260X
Muhammed Adem AbdullahiDepartment of Food Science and Postharvest Technology Jimma University College of Agriculture and Veterinary Medicine, Jimma University Jimma Ethiopia.ORCID https://orcid.org/0009-0003-4121-3256
M M RashedDepartment of Physics, College of Sciences Imam Mohammad Ibn Saud Islamic University (IMSIU) Riyadh Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity, cardiovascular disease, and type 2 diabetes mellitus (T2DM) represent major global health and economic concerns. Traditional dietary recommendations frequently overlook individual heterogeneity in metabolic health. Personalized nutrition will provide a more focused approach to preventing chronic diseases by tailoring dietary recommendations according to lifestyle, metabolic, and genetic factors. This review examines the role of personalized nutrition in preventing metabolic diseases, with a focus on key components of nutrient-gene interactions, including nutrigenomics, nutrigenetics, the gut microbiome, and biomarker-based therapies. The main aim of this article is to investigate how variation within the microbiome and among genes impacts nutrient metabolism and make a case for successful evidence of individualized dietary intervention for obesity, diabetes, and cardiovascular disease. Future advancements in artificial intelligence, and genetic testing may make personalized nutrition more accessible, but there are questions about the price, feasibility, and ethics of its widespread use. The scope for personalized nutrition is wide and has strong potential to impact preventative health. An independent assessment calls for sustained scientific research, equitable accessibility, and ethical considerations that can make public health policies clinically relevant.

Indexed as

dietary interventiongut microbiome nutrigenomicsmachine learningnutrigenomics

Identifiers

PMID41567168
PMCPMC12816768

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.