Evidence map›Paper›PMID 38519940›Full record

ArticleChinese medicine2024

Total iridoid glycoside extract of Lamiophlomis rotata (Benth) Kudo accelerates diabetic wound healing by the NRF2/COX2 axis.

Xiaoyu Geng, Ying Wang, Huan Li, Liang Song, Chen Luo, Xiaojie Gu, Haixin Zhong, Huilin Chen, Xinzhu Chen, Jianwei Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Chinese medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. International journal of molecular sciences · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. 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

11 authors at 1 institution in 1 country.

Xiaoyu GengCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Ying WangCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Huan LiCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Liang SongCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Chen LuoCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Xiaojie GuCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Haixin ZhongCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Huilin ChenCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Xinzhu ChenCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Jianwei WangCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China.
Zheng PanCollege of Traditional Chinese Medicine, Chongqing Medical University, Chongqing, China. 102796@cqmu.edu.cn.ORCID http://orcid.org/0000-0002-9727-7975
Chongqing Medical University · CN

Funding

Chongqing Municipal Youth Science and Technology Talent Training Project cstc2022ycjh bgzxm0010National Natural Science Foundation of China 81973567
6 · The paper itself

Abstract

backgroundLamiophlomis rotata (Benth.) Kudo (L. rotata), the oral Traditional Tibetan herbal medicine, is adopted for treating knife and gun wounds for a long time. As previously demonstrated, total iridoid glycoside extract of L. rotata (IGLR) induced polarization of M2 macrophage to speed up wound healing. In diabetic wounds, high levels inflammatory and chemotactic factors are usually related to high reactive oxygen species (ROS) levels. As a ROS target gene, nuclear factor erythroid 2-related factor 2 (NRF2), influences the differentiation of monocytes to M1/M2 macrophages. Fortunately, iridoid glycosides are naturally occurring active compounds that can be used as the oxygen radical scavenger. Nevertheless, the influence of IGLR in diabetic wound healing and its associated mechanism is largely unclear. MATERIALS AND

methodsWith macrophages and dermal fibroblasts in vitro, as well as a thickness excision model of db/db mouse in vivo, the role of IGLR in diabetic wound healing and the probable mechanism of the action were investigated.

resultsOur results showed that IGLR suppressed oxidative distress and inflammation partly through the NRF2/cyclooxygenase2 (COX2) signaling pathway in vitro. The intercellular communication between macrophages and dermal fibroblasts was investigated by the conditioned medium (CM) of IGLR treatment cells. The CM increased the transcription and translation of collagen I (COL1A1) and alpha smooth muscle actin (α-SMA) within fibroblasts. With diabetic wound mice, the data demonstrated IGLR activated the NRF2/KEAP1 signaling and the downstream targets of the pathway, inhibited COX2/PEG2 signaling and decreased the interaction inflammatory targets of the axis, like interleukin-1beta (IL-1β), interleukin 6 (IL-6), apoptosis-associated speck-like protein (ASC), cysteinyl aspartate specific proteinase1 (caspase1) and NOD-like receptor-containing protein 3 (NLRP3).In addition, the deposition of COL1A1, and the level of α-SMA, and Transforming growth factor-β1 (TGF-β1) obviously elevated, whereas that of pro-inflammatory factors reduced in the diabetic wound tissue with IGLR treatment.

conclusionIGLR suppressed oxidative distress and inflammation mainly through NRF2/COX2 axis, thus promoting paracrine and accelerating wound healing in diabetes mice.

Indexed as

Diabetic wound healingIridoid glycosideLamiophlomis rotataNRF2/COX2 axis

Identifiers

PMID38519940
PMCPMC10960394
OpenAlexW4393078499

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.