Evidence map›Paper›PMID 40231917›Full record

ArticleFoods (Basel, Switzerland)2025

Effect of Freeze Drying and Hot Air Drying on the Composition and Bioactivities of Lipids from Razor Clam

Dexu Wang, Runjia Chang, Changyu Liu, Jiaxun Li, Jibin Liu, Ning Li, Yun Zhang, Xiaobin Li, Peihai Li, Kechun Liu

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Dexu WangEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.ORCID 0009-0006-4218-791X
Runjia ChangSchool of Life Sciences and Technology, Tongji University, Shanghai 200092, China.
Changyu LiuEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.
Jiaxun LiEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.
Jibin LiuEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.
Ning LiEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.
Yun ZhangEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.ORCID 0000-0002-5060-1213
Xiaobin LiEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.ORCID 0000-0002-3775-7694
Peihai LiEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.
Kechun LiuEngineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong Province, Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China.

Funding

Jinan Talent Project for University 202228035National Key R&D Program of China 2022YFC2804100, 2022YFC2804600Pilot Project for the Integration of Science, Education and Industry, Qilu University of Technology, Shandong Academy of Sciences 2023RCKY229, 2024ZDZX03
6 · The paper itself

Abstract

Razor clams, which are rich in diverse lipids, are notable for their unique health benefits and functional properties. This study comprehensively characterized and compared the composition and bioactivities of razor clam lipids after freeze drying (FD) and hot air drying (HD) using UPLC-MS/MS-based lipidomics and zebrafish models. Lipidomics analysis identified 1056 lipids classified into five lipid classes, among which glycerophospholipid (GP) was the most abundant, accounting for 57.39% of the total lipids. The total lipids were also grouped into 24 lipid subclasses, including dominated triglycerides, phosphatidylethanolamines, and phosphatidylcholines. Differential lipid species were identified between the FD, HD, and fresh (FS) sample groups, with 174, 141, and 154 species differing between FD vs. FS, HD vs. FS, and FD vs. HD, respectively. The antithrombotic, anti-inflammatory, and antioxidant activities of lipids extracted from FD, HD, and FS razor clams were evaluated using the zebrafish model. Lipids from FD and FS razor clams exhibited all bioactivities at some concentrations, while HD lipids showed antithrombotic and anti-inflammatory activities but lacked antioxidant activity. In summary, the lipid composition and bioactivities of fresh razor clams were altered following FD and HD processes, with significant differences observed between the two methods. These findings underscore the nutritional value of fresh razor clams after processing and provide insights for developing razor clam products.

Indexed as

biological activitydrying methodshellfish lipidsUPLC-MS/MS-based lipidomicszebrafish model

Identifiers

PMID40231917
PMCPMC11941059

What OpenQuestion holds

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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.