Evidence map›Paper›PMID 41201372›Full record

ArticleACS applied materials & interfaces2025

A Twisted-Integrated Multifunctional Fiber Sensor for Real-Time Metabolic Monitoring and Management of Sepsis.

Sijia Yu, Ying Jiang, Yiyang Liu, Zheyuan Zhou, Ting Liu

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sijia YuDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha 410008, China.
Ying JiangNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital Central South University, Changsha 410008, China.
Yiyang LiuState Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Institute of Fiber Materials and Devices, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, China.
Zheyuan ZhouDepartment of Biomedical Engineering, School of Basic Medical Sciences, Central South University, Changsha 410013, China.
Ting LiuDepartment of Gastroenterology, Xiangya Hospital, Central South University, Changsha 410008, China.ORCID 0000-0001-8178-6532

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis-induced systemic metabolic dysregulation involves complex interactions between acid-base imbalance and glucose metabolism abnormalities. Traditional metabolic monitoring methods, which rely on intermittent blood sampling, lack sufficient spatiotemporal resolution and fail to capture the dynamic pathological changes in detail. To address this, we present a minimally invasive multifunctional fiber sensor (PGFs) with a twisted integration structure for real-time, simultaneous monitoring of pH and glucose concentrations in sepsis. PGFs integrate pH and glucose fiber sensors along with their reference electrodes through a twisted design, offering excellent flexibility, rapid response, and high sensitivity. Additionally, the twisted structure enhances the stability of the bioelectrode-organic interface and improves biocompatibility. Long-term monitoring using PGFs in a sepsis animal model allowed us to construct a temporal metabolic profile of sepsis. Furthermore, metabolic management with PGFs significantly improved the survival rate of septic mice and alleviated sepsis-induced organ damage. Mechanistic studies revealed that PGFs-based combined intervention effectively disrupted the vicious cycle between acidosis and glucose dysregulation, reducing sepsis-induced inflammation and immune responses, improving the metabolic microenvironment, and restoring energy homeostasis. In conclusion, this study provides a platform for metabolic monitoring and management in sepsis using PGFs, offering valuable insights for clinical therapeutic strategies.

Indexed as

Biosensing TechniquesSepsisAnimalsBlood GlucoseDisease Models, AnimalGlucoseHumansHydrogen-Ion ConcentrationMaleMiceMice, Inbred C57BLMonitoring, PhysiologicBlood GlucoseGlucosefiber electronicsmetabolic disordermultifunctionally integratedreal-time monitoringsepsis

Identifiers

PMID41201372
PMCPMC12635969

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.