Evidence map›Paper›PMID 39836501›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Intestine-Decipher Engineered Capsules Protect Against Sepsis-induced Intestinal Injury via Broad-spectrum Anti-inflammation and Parthanatos Inhibition.

Yan Yan, Bin Li, Qiuxia Gao, Miao Wu, Hua Ma, Jiawei Bai, Chengtai Ma, Xinyu Xie, Yuan Gong, Lingqi Xu and 18 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  14. Fruit-Based Diet and Gut Health: A Review.Food science & nutrition · 2025
    Review
  15. Article
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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

28 authors.

Yan YanDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Bin LiSchool of Inspection, Ningxia Medical University, Yinchuan, Ningxia, 750004, China.ORCID https://orcid.org/0000-0001-9870-9963
Qiuxia GaoInstitute for Engineering Medicine, Kunming Medical University, Kunming, 650500, China.
Miao WuDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Hua MaInstitute for Engineering Medicine, Kunming Medical University, Kunming, 650500, China.
Jiawei BaiDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Chengtai MaDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Xinyu XieDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Yuan GongInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215025, China.
Lingqi XuInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215025, China.
Xiaoxue LiMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital of Southern Medical University, Guangzhou, Guangdong, 510091, China.
Wei WangMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital of Southern Medical University, Guangzhou, Guangdong, 510091, China.
Yanqiu WuMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital of Southern Medical University, Guangzhou, Guangdong, 510091, China.
Jiamei WangInstitute for Engineering Medicine, Kunming Medical University, Kunming, 650500, China.
Huanhuan WangInstitute for Engineering Medicine, Kunming Medical University, Kunming, 650500, China.
Yi FengMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital of Southern Medical University, Guangzhou, Guangdong, 510091, China.
Yunlong ZhangDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Peiran LiDepartment of Microbiology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Huimin ShiMolecular Diagnosis and Treatment Center for Infectious Diseases, Dermatology Hospital of Southern Medical University, Guangzhou, Guangdong, 510091, China.
Fei MaSchool of Inspection, Ningxia Medical University, Yinchuan, Ningxia, 750004, China.
Yue JiaSchool of Inspection, Ningxia Medical University, Yinchuan, Ningxia, 750004, China.
Han DuanDepartment of Microbiology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Xinting FuDepartment of Microbiology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.
Wenying WangInstitute for Engineering Medicine, Kunming Medical University, Kunming, 650500, China.
Liying ZhanDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Xianjin DuDepartment of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, 430060, China.ORCID https://orcid.org/0000-0002-2558-7982
Huiting ZhouInstitute of Pediatric Research, Children's Hospital of Soochow University, Suzhou, 215025, China.
Yuhui LiaoSchool of Inspection, Ningxia Medical University, Yinchuan, Ningxia, 750004, China.ORCID https://orcid.org/0000-0003-4702-9516

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515140080Comprehensive Research Project of the National Natural Science Foundation of China 82241059National Key Research and Development Program of China 2021YFC2302200National Natural Science Foundation of China 82372179 82202409 82402136 82322042 82272248Natural Science Foundation of Hubei Province 2022CFA089Natural Science Foundation of Ningxia - Outstanding Youth Program 2024AAC05061Open Competition Mechanism to Select the Best Candidates for Key Research Projects of Ningxia Medical University XJKF230122 XJKF230115 XJKF230124The Interdisciplinary Innovative Talents Foundation from Renmin Hospital of Wuhan University JCRCFZ-2022-007
6 · The paper itself

Abstract

Sepsis is a severe systemic inflammatory syndrome characterized by a dysregulated immune response to infection, often leading to high mortality rates. The intestine, owing to its distinct structure and physiological environment, plays a pivotal role in the pathophysiology of sepsis. It functions as the "central organ" or "engine" in the progression of sepsis, with intestinal injury exacerbating the condition. Despite the availability of current therapies that offer partial symptom relief, they fall short of adequately protecting the intestinal barrier. In this study, an advanced nanodrug formulation (OLA@MΦ NPs) is developed by coating macrophage membranes onto polymeric organic nanoparticles encapsulating olaparib. When loaded into pH-responsive capsules, an intestine-decipher engineered capsule (cp-OLA@MΦ NPs) is successfully formulated. Upon oral administration in septic mice, these capsules withstand gastric acid and release their contents in the intestine, specifically targeting injured tissues. The released OLA@MΦ NPs effectively neutralize pro-inflammatory cytokines via macrophage membrane receptors, while olaparib inhibits intestinal epithelial parthanatos (a form of programmed cell death) by suppressing poly(ADP-ribose) polymerase 1 (PARP1) activation. This strategy significantly reduces bacterial translocation, slows the progression of sepsis, and enhances survival in septic mice, thus presenting a promising therapeutic approach for sepsis in clinical applications.

Indexed as

Anti-Inflammatory AgentsIntestinesSepsisAnimalsCapsulesDisease Models, AnimalIntestinal MucosaMacrophagesMaleMiceMice, Inbred C57BLNanoparticlesPhthalazinesPiperazinesAnti-Inflammatory AgentsCapsulesolaparibPhthalazinesPiperazinesbroad‐spectrum anti‐inflammationolaparibparthanatospH‐responsive capsulessepsis‐induced intestinal injury

Identifiers

PMID39836501
PMCPMC11904959

What OpenQuestion holds

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Registered trials

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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.