Evidence map›Paper›PMID 40224112›Full record

ArticleJournal of dental sciences2025

Hepcidin-regulated iron metabolism disorders in patients with stage III/IV periodontitis.

Ye Han, Yuzhe Sun, Chang Shu, Zhaoguo Yue, Xiaochi Chang, Cheng Lin, Jie Zhang, Kaining Liu, Jianxia Hou

Abstract read
In one paragraph

Article in Journal of dental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

9 authors.

Ye HanDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Yuzhe SunDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Chang ShuDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Zhaoguo YueDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Xiaochi ChangDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Cheng LinDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Jie ZhangDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Kaining LiuDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Jianxia HouDepartment of Periodontology, National Center of Stomatology & National Clinical Research Center for Oral Diseases, National Engineering Laboratory for Digital and Material Technology of Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Materials and methods: 79 Stage III/IV periodontitis patients and 79 healthy controls were enrolled in this study. Periodontal clinical parameters, system inflammation markers, iron metabolism parameters and hematological parameters were collected and compared at baseline and 3 months after non-surgical periodontal therapy. Results: Stage III/IV periodontitis patients exhibited higher levels of systemic inflammatory markers including white blood cell (WBC) counts and high-sensitivity C-reactive protein (hs- CRP). Serum hepcidin and ferritin were significantly increased in the periodontitis group, meanwhile serum iron and transferrin were significantly decreased. Periodontal therapy attenuated the higher levels of hepcidin and ferritin, and the lower levels of Fe and transferrin in periodontitis patients at 3 months after therapy. Probing depth (PD), bleeding index (BI) and clinical attachment loss (CAL) were positively correlated with hepcidin and ferritin, and negatively correlated with Fe and transferrin respectively. Hepcidin was significantly negatively correlated with Fe and positively correlated with ferritin in periodontitis patients. Conclusion: Our findings suggest the association between periodontitis and iron metabolism disorders and indicate that periodontitis-activated host responses may increase the risk of iron metabolism disorders, while meaningfully provide new insights into the systemic effects of periodontitis.

Indexed as

HepcidinInflammationIron metabolismPeriodontitis

Identifiers

PMID40224112
PMCPMC11993015

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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.