Evidence map›Paper›PMID 42217151›Full record

ReviewProbiotics and antimicrobial proteins2026

Probiotics and Postbiotics in Life-Style Disease Management: A Comprehensive Review on the Technologies in the Era of Omics and Artificial Intelligence.

Arush Behl, Krishna Kant Sharma

Abstract readReview
PubMed Publisher
In one paragraph

Review in Probiotics and antimicrobial proteins, 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

2 authors.

Arush BehlLaboratory of Enzymology and Gut Microbiology, Maharshi Dayanand University, Rohtak, 124001, India.ORCID http://orcid.org/0000-0003-2742-4682
Krishna Kant SharmaLaboratory of Enzymology and Gut Microbiology, Maharshi Dayanand University, Rohtak, 124001, India. kekulsharma@gmail.com.ORCID http://orcid.org/0000-0001-9576-342X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both conventional and next-generation probiotics play a crucial role in maintaining host homeostasis. They modulate insulin sensitivity, immune-regulation, lipid metabolism, and trimethylamine synthesis. In recent years, probiotics have emerged as an effective and safe alternative to antibiotics for treating chronic life-style disorders via gut-organ-axis. Accounting for that, they contributed a market size of 71.2 billion USD in the year 2024. However, effective consortia that can completely address all the symptoms of a particular disease are still lacking. Further, natural probiotics also face the issues of low survival rate and transfer of antibiotic resistance genes. Thus, postbiotics, which act as the ultimate mediators of gut-organ-axis have gained recognition over probiotics. They bind with multiple receptors present in host organs and modulate their functioning. This suggests the multilayer-multichannel axis between postbiotics and host vital organs. However, postbiotics cannot colonize the gut, and dosage and time also need optimization. Hence, engineered probiotics are being developed for efficient self-regulatory release of postbiotics at the target site. There are a few reviews on the topic of probiotics and lifestyle diseases; however, there is an urgent need for a critical appraisal synchronous with the fast-evolving technology, including omics and artificial intelligence. Thus, our article discusses advancements in technology to address the shortcomings of probiotics and postbiotics using genome editing, machine learning, and functional genomics techniques. It also covers the detailed application of artificial intelligence in probiotic consortia formulation, disease diagnosis, novel postbiotics detection, genetically engineered probiotics, and personalized therapies.

Indexed as

artificial intelligenceengineered probioticsgut-organ-axispersonalized therapypostbioticsProbiotics

Identifiers

What Socratic holds

Textmetadata
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.