Evidence map›Paper›PMID 39939782›Full record

ArticleExperimental & molecular medicine2025

A1AT dysregulation of metabolically stressed hepatocytes by Kupffer cells drives MASH and fibrosis.

Jeong-Su Park, Jin Lee, Feng Wang, Hwan Ma, Zixiong Zhou, Yong-Sun Lee, Kwangyeon Oh, Haram Lee, Guoyan Sui, Sangkyu Lee and 13 more

Abstract read
In one paragraph

Article in Experimental & molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. 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

23 authors.

Jeong-Su Park *College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.
Jin Lee *Department of Pathology, School of Medicine, University of California, San Diego, CA, USA.
Feng Wang *College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.
Hwan Ma *College of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.
Zixiong ZhouDepartment of Pathology and Institute of Oncology, The School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
Yong-Sun LeeToxicological Evaluation and Research Department, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Cheongju, South Korea.
Kwangyeon OhCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.
Haram LeeCollege of Pharmacy, Korea University, Sejong, South Korea.
Guoyan SuiCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.
Sangkyu LeeCollege of Pharmacy, Sungkyunkwan University, Suwon, South Korea.
Yoon Mee YangCollege of Pharmacy, Kangwon National University, Chuncheon, South Korea.
Jang-Won LeeResearch and Development Center, MediTake Co. Ltd., Suwon, South Korea.
Yong-Ha JiResearch and Development Center, MediTake Co. Ltd., Suwon, South Korea.
Chun-Woong ParkCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.ORCID http://orcid.org/0000-0001-5329-8443
Hwan-Soo YooCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.
Bang-Yeon HwangCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.
Sang-Bae HanCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.ORCID http://orcid.org/0000-0001-6656-6523
Nan SongCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea.ORCID http://orcid.org/0000-0002-9182-1060
Soohwan OhCollege of Pharmacy, Korea University, Sejong, South Korea.ORCID http://orcid.org/0000-0003-4860-034X
Bumseok KimCollege of Veterinary Medicine and Biosafety Research Institute, Jeonbuk National University, Iksan, South Korea.
Ekihiro SekiKarsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-9472-6085
Jin Tae HongCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea. jinthong@chungbuk.ac.kr.ORCID http://orcid.org/0000-0002-6534-9575
Yoon Seok RohCollege of Pharmacy and Medical Research Center, Chungbuk National University, Cheongju, South Korea. ysroh@cbnu.ac.kr.ORCID http://orcid.org/0000-0002-6689-177X

Funding

National Research Foundation of Korea (NRF) 2017R1A5A2015541National Research Foundation of Korea (NRF) 2019R1A2C1090178
6 · The paper itself

Abstract

Metabolic dysfunction-associated steatohepatitis (MASH) is associated with the activation of Kupffer cells (KCs) and hepatic stellate cells, at which point a metabolically stressed hepatocyte becomes integral to the progression of the disease. We observed a significant reduction in the level of alpha-1-antitrypsin (A1AT), a hepatocyte-derived secreted factor, in both patients with MASH and mice fed a fast-food diet (FFD). KC-mediated hepatic inflammation, most notably IL-1β, led to the transcriptional inhibition of A1AT by HNF4α. In quintuple Serpina1a-e knockout mice, ablation of A1AT worsened MASH through increased activity of proteinase 3 (PR3), a proinflammatory protease produced by F4/80

Indexed as

alpha 1-AntitrypsinHepatocytesKupffer CellsLiver CirrhosisAnimalsHumansInterleukinsMaleMiceMice, Inbred C57BLMice, Knockoutalpha 1-AntitrypsinInterleukinsSERPINA1 protein, human

Identifiers

PMID39939782
PMCPMC11873038

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.