Evidence map›Paper›PMID 36032108›Full record

ArticleFrontiers in immunology2022

Fecal microbiota transplantation treatment of autoimmune-mediated type 1 diabetes mellitus.

Lina He, Rongping Chen, Bangzhou Zhang, Shuo Zhang, Barkat Ali Khan, Dan Zhu, Zezhen Wu, Chuanxing Xiao, Baolong Chen, Fengwu Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. [Gut microbiota dysbiosis in type 1 diabetes mellitus: Impacts, mechanisms, and interventions].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. T-Cell Receptor Sequences Identify Combined Coxsackievirus-International journal of molecular sciences · 2024
    Article
  17. Review
  18. Article
  19. Advances in fecal microbiota transplantation for the treatment of diabetes mellitus.Frontiers in cellular and infection microbiology · 2024
    Review
  20. Review
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 7 institutions in 2 countries.

Lina HeDepartment of Endocrine and Metabolic Diseases, Longhu People's Hospital, Shantou, China.
Rongping ChenSchool of Laboratory Medical and Biotechnology, Southern Medical University, Guangzhou, China.
Bangzhou ZhangSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Shuo ZhangDepartment of Endocrine and Metabolic Diseases, Longhu People's Hospital, Shantou, China.
Barkat Ali KhanDrug Delivery and Cosmetics Lab, Good Clinical Practice (GCPS), Faculty of Pharmacy, Gomal University, Dera Ismail Khan, Pakistan.
Dan ZhuDepartment of Endocrine and Metabolic Diseases, Longhu People's Hospital, Shantou, China.
Zezhen WuDepartment of Endocrine and Metabolic Diseases, Longhu People's Hospital, Shantou, China.
Chuanxing XiaoSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Baolong ChenCenter for Research and Development, Xiamen Treatgut Biotechnology Co. Ltd., Xiamen, China.
Fengwu ChenDepartment of Endocrine and Metabolic Diseases, Longhu People's Hospital, Shantou, China.
Kaijian HouDepartment of Endocrine and Metabolic Diseases, Longhu People's Hospital, Shantou, China.
Shantou University · CNYue Bei People's Hospital · CNCentral South University · CNFirst Affiliated Hospital of Shantou University Medical College · CNFujian University of Traditional Chinese Medicine · CNGomal University · PKSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes mellitus (T1DM) is an autoimmune-mediated disease characterized by a reduced or absolute lack of insulin secretion and often associated with a range of vascular and neurological complications for which there is a lack of effective treatment other than lifestyle interventions and pharmacological treatments such as insulin injections. Studies have shown that the gut microbiota is involved in mediating the onset and development of many fecal and extrafecal diseases, including autoimmune T1DM. In recent years, many cases of gut microbiota transplantation for diseases of the bowel and beyond have been reported worldwide, and this approach has been shown to be safe and effective. Here, we conducted an experimental treatment study in two adolescent patients diagnosed with autoimmune T1DM for one year. Patients received one to three rounds of normal fecal microbiota transplants (FMT) and were followed for up to 30 weeks. Clinical outcomes were measured, including biochemical indices, medication regimen, and dosage adjustment. Fecal microbiota metagenomic sequencing after transplantation provides a reference for more reasonable and effective microbiota transplantation protocols to treat autoimmune T1DM. Our results suggest that FMT is an effective treatment for autoimmune T1DM. Clinical Trial Registration: http://www.chictr.org.cn, identifier ChiCTR2100045789.

Indexed as

Diabetes Mellitus, Type 1Gastrointestinal MicrobiomeMicrobiotaAdolescentFecal Microbiota TransplantationFecesHumansautoimmune-mediatedfecal microbiota transplantation (FMT)gut microbiota (GM)treatmenttype 1 diabetes mellitus

Identifiers

PMID36032108
PMCPMC9414079
OpenAlexW4290975392

What OpenQuestion 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 OpenQuestion graph.