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Article: Association between sleep patterns and galectin-3 in a Chinese community population

TitleAssociation between sleep patterns and galectin-3 in a Chinese community population
Authors
KeywordsGalectin-3
Inflammation
Napping duration
Sleep disturbance
Sleep duration
Issue Date16-May-2024
PublisherBioMed Central
Citation
BMC Public Health, 2024, v. 24, n. 1 How to Cite?
Abstract

Background

Irregular sleep patterns have been associated with inflammation. Galectin-3, a novel biomarker, plays an important role in inflammation. We investigated the relationship between sleep patterns and galectin-3 in a Chinese population.

Methods

A total of 1,058 participants from the Shenzhen-Hong Kong United Network on Cardiovascular Disease study were included in the analysis. Age and sex-adjusted linear regression models were employed to investigate the relationship between galectin-3 level and traditional metabolic biomarkers. Logistic regression models were used to estimate the association among sleep disturbance, nighttime sleep duration, and daytime napping duration and elevated galectin-3, with elevated galectin-3 defined as galectin-3 level > 65.1 ng/ml.

Results

Of study participants, the mean age was 45.3 years and 54.3% were women. Waist circumference, natural logarithm (ln)-transformed triglyceride, and ln-transformed high sensitivity C-reactive protein were positively associated with galectin-3 level (age and sex-adjusted standardized β [95% confidence interval (CI)], 0.12 [0.04, 0.21], 0.11 [0.05, 0.17], and 0.08 [0.02, 0.14], respectively). Sleep disturbance was associated with elevated galectin-3 (odds ratio [95% CI], 1.68 [1.05, 2.68], compared to those without sleep disturbance) after adjusting for traditional metabolic biomarkers. No interaction was observed between galectin-3 and age, sex, obesity, hypertension, and diabetes on sleep disturbance. No association was found between nighttime sleep duration or daytime napping duration and elevated galectin-3.

Conclusions

Our study provides evidence of a significant association between sleep disturbance and elevated galectin-3 level, independent of traditional metabolic biomarkers. Screening and interventions on galectin-3 could assist in preventing sleep disturbance-induced inflammatory disease.


Persistent Identifierhttp://hdl.handle.net/10722/348683
ISSN
2023 Impact Factor: 3.5
2023 SCImago Journal Rankings: 1.253

 

DC FieldValueLanguage
dc.contributor.authorLiu, Lin-
dc.contributor.authorZhen, Juanying-
dc.contributor.authorLiu, Shuyun-
dc.contributor.authorRen, Lijie-
dc.contributor.authorZhao, Guoru-
dc.contributor.authorLiang, Jianguo-
dc.contributor.authorXu, Aimin-
dc.contributor.authorLi, Chao-
dc.contributor.authorWu, Jun-
dc.contributor.authorCheung, Bernard Man Yung-
dc.date.accessioned2024-10-11T00:31:29Z-
dc.date.available2024-10-11T00:31:29Z-
dc.date.issued2024-05-16-
dc.identifier.citationBMC Public Health, 2024, v. 24, n. 1-
dc.identifier.issn1471-2458-
dc.identifier.urihttp://hdl.handle.net/10722/348683-
dc.description.abstract<h3>Background</h3><p>Irregular sleep patterns have been associated with inflammation. Galectin-3, a novel biomarker, plays an important role in inflammation. We investigated the relationship between sleep patterns and galectin-3 in a Chinese population.</p><h3>Methods</h3><p>A total of 1,058 participants from the Shenzhen-Hong Kong United Network on Cardiovascular Disease study were included in the analysis. Age and sex-adjusted linear regression models were employed to investigate the relationship between galectin-3 level and traditional metabolic biomarkers. Logistic regression models were used to estimate the association among sleep disturbance, nighttime sleep duration, and daytime napping duration and elevated galectin-3, with elevated galectin-3 defined as galectin-3 level > 65.1 ng/ml.</p><h3>Results</h3><p>Of study participants, the mean age was 45.3 years and 54.3% were women. Waist circumference, natural logarithm (ln)-transformed triglyceride, and ln-transformed high sensitivity C-reactive protein were positively associated with galectin-3 level (age and sex-adjusted standardized β [95% confidence interval (CI)], 0.12 [0.04, 0.21], 0.11 [0.05, 0.17], and 0.08 [0.02, 0.14], respectively). Sleep disturbance was associated with elevated galectin-3 (odds ratio [95% CI], 1.68 [1.05, 2.68], compared to those without sleep disturbance) after adjusting for traditional metabolic biomarkers. No interaction was observed between galectin-3 and age, sex, obesity, hypertension, and diabetes on sleep disturbance. No association was found between nighttime sleep duration or daytime napping duration and elevated galectin-3.</p><h3>Conclusions</h3><p>Our study provides evidence of a significant association between sleep disturbance and elevated galectin-3 level, independent of traditional metabolic biomarkers. Screening and interventions on galectin-3 could assist in preventing sleep disturbance-induced inflammatory disease.</p>-
dc.languageeng-
dc.publisherBioMed Central-
dc.relation.ispartofBMC Public Health-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectGalectin-3-
dc.subjectInflammation-
dc.subjectNapping duration-
dc.subjectSleep disturbance-
dc.subjectSleep duration-
dc.titleAssociation between sleep patterns and galectin-3 in a Chinese community population -
dc.typeArticle-
dc.identifier.doi10.1186/s12889-024-18811-4-
dc.identifier.scopuseid_2-s2.0-85193464917-
dc.identifier.volume24-
dc.identifier.issue1-
dc.identifier.eissn1471-2458-
dc.identifier.issnl1471-2458-

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