Evidence map›Paper›PMID 39494204›Full record

ArticleJournal of inflammation research2024

Intraperitoneal MASP-1 Levels are Associated with Peritoneal Solute Transport Rate in Peritoneal Dialysis Patients: A Retrospective Cohort Study.

Jianzhong Li, Yan Xiong, Mingyu Chen, Deyu Xu, Ling Zhou, Lei Shen, Guoyuan Lu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jianzhong Li *Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.ORCID 0000-0001-8100-975X
Yan Xiong *Department of Nephrology, Kunshan First People's Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, 215300, People's Republic of China.ORCID 0009-0007-5490-5322
Mingyu Chen *Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Deyu XuDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Ling ZhouDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Lei ShenDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Guoyuan LuDepartment of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: A major limitation of long-term peritoneal dialysis (PD) is peritoneal membrane dysfunction characterized by faster peritoneal solute-transport rate (PSTR). This study aimed to identify efficient complement factors in peritoneal effluents of continuous ambulatory peritoneal dialysis (CAPD) patients that can predict the PSTR. Methods: A multiplex suspension protein array was used to screened related complement pathways in overnight peritoneal effluents among 58 CAPD patients. Then the related complement factors in lectin and classical pathways in effluents were analyzed using ELISA kits among another cohort of 129 CAPD patients. Logistic regression modeling was fitted to predict the PSTR of PD patients. Results: The multiplex suspension protein array showed complement factors including C2, C4b, C5, C5a, Factor D, Factor I, and MBL were detected in effluents of CAPD patients, and the effluent C2 Appearance rate (Ar) and C4b Ar levels were significantly correlated with D/P Cr and D/D0 glucose. The levels of effluents MASP-1 Ar, M-Ficolin Ar, C2 Ar and C4b Ar, which belong to the lectin pathway were also positively correlated with D/P Cr according the ELISA results and these parameters were expressed higher in the high and high-average (H/HA) groups according to the PET results. Moreover, effluent Masp-1 was independently associated with increased PSTR and adverse events related peritoneal transport function failure. Conclusion: This study suggested that the lectin pathway may be involved in local complement activation and peritoneal injury of PD patients, intraperitoneal level of Masp-1 was an independent predictor of increased PSTR in PD patients.

Indexed as

complementlectin pathwayMasp-1peritoneal dialysisperitoneal solute-transport rate

Identifiers

PMID39494204
PMCPMC11531270

What Socratic holds

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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 Socratic graph.