Evidence mapPaperPMID 40507941Full record

ReviewInternational journal of molecular sciences2025

Therapeutic Peptides: Recent Advances in Discovery, Synthesis, and Clinical Translation.

Bingyi Zheng, Xueting Wang, Meizhai Guo, Chi-Meng Tzeng

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. HELM-BERT: Topology-Aware Representations for Chemically Modified Peptides.Journal of chemical information and modeling · 2026
    Article
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  12. Article
  13. Self-Assembling Short Peptide Carriers for Gene Delivery.International journal of molecular sciences · 2026
    Review
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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

4 authors.

Bingyi ZhengTranslational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361005, China.
Xueting WangTranslational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361005, China.
Meizhai GuoTranslational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361005, China.
Chi-Meng TzengTranslational Medicine Research Center, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361005, China.ORCID 0000-0003-3490-2574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, peptide-based therapeutics have undergone transformative advancements driven by breakthroughs in production, modification, and analytical technologies. Innovations in chemical and biological synthesis, coupled with novel design and delivery strategies, have systematically addressed historical limitations (e.g., poor stability and bioavailability). These advancements have facilitated the characterization and clinical translation of diverse natural and engineered peptides across therapeutic domains, including metabolic disorders, oncology, and infectious diseases. This review synthesizes critical developments in peptide drug discovery, production technologies, and clinical applications, while highlighting emerging challenges and opportunities. We further evaluate the therapeutic potential of peptides in addressing unmet medical needs and propose strategic directions to accelerate their integration into precision medicine paradigms.

Indexed as

Drug DiscoveryPeptidesAnimalsHumansTranslational Research, BiomedicalPeptidesanticancer peptidesantimicrobial peptidesclinical applicationspeptide discoverypeptide synthesistherapeutic peptides

Identifiers

PMID40507941
PMCPMC12154100

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.