Evidence map›Paper›PMID 37719364›Full record

ArticleActa pharmaceutica Sinica. B2023

Discovery of an orally effective double-stapled peptide for reducing ovariectomy-induced bone loss in mice.

Wei Cong, Huaxing Shen, Xiufei Liao, Mengjun Zheng, Xianglong Kong, Zhe Wang, Si Chen, Yulei Li, Honggang Hu, Xiang Li

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

10 authors.

Wei CongSchool of Medicine Or Institute of Translational Medicine, Shanghai University, Shanghai 200444, China.
Huaxing ShenSchool of Medicine Or Institute of Translational Medicine, Shanghai University, Shanghai 200444, China.
Xiufei LiaoSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China.
Mengjun ZhengSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China.
Xianglong KongSchool of Medicine Or Institute of Translational Medicine, Shanghai University, Shanghai 200444, China.
Zhe WangInstitute of Bioengineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310027, China.
Si ChenSchool of Medicine Or Institute of Translational Medicine, Shanghai University, Shanghai 200444, China.
Yulei LiSchool of Pharmacy and Pharmaceutical Sciences & Institute of Materia Medica, Shandong First Medical University & Shandong Academy of Medical Sciences, NHC Key Laboratory of Biotechnology Drugs (Shandong Academy of Medical Sciences), Key Lab for Rare & Uncommon Diseases of Shandong Province, Jinan 250117, China.
Honggang HuSchool of Medicine Or Institute of Translational Medicine, Shanghai University, Shanghai 200444, China.
Xiang LiSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stapled peptides with significantly enhanced pharmacological profiles have emerged as promising therapeutic molecules due to their remarkable resistance to proteolysis and performance to penetrate cells. The all-hydrocarbon peptide stapling technique has already widely adopted with great success, yielding numerous potent peptide-based molecules. Based on our prior efforts, we conceived and prepared a double-stapled peptide in this study, termed FRNC-1, which effectively attenuated the bone resorption capacity of mature osteoclasts

Indexed as

Double-staplingOrally effectiveOsteoporosisStapled peptides

Identifiers

PMID37719364
PMCPMC10502273

What OpenQuestion holds

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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.