title: Inverse Relationship between Serum Lipoxin A4 Level and the Risk of Metabolic Syndrome in a Middle-Aged Chinese Population.
abstract: Metabolic syndrome (MetS) has been identified to be associated with a state of chronic, low-grade inflammation in adipose tissue. Lipoxins are endogenously generated from arachidonic acid, and exhibit anti-inflammatory actions. Currently, there is no available cohort study identifying the association between serum lipoxins level and MetS. Here we investigate the relationship between serum lipoxin A4 (LXA4) level and the risk of incident MetS in a middle-aged Chinese population. A total 624 participants aged 40-65 years were enrolled at baseline, with 417 (including 333 MetS absence) of them were followed up at 2.5 years. Abdominal visceral fat area (VFA) and abdominal subcutaneous fat area (SFA) were determined using MRI. Serum lipoxin A4 levels were measured by ELISA. At baseline, serum LXA4 levels were significantly correlated with a cluster of traditional MetS risk factors related to obesity (P ≤ 0.05). A higher incidence of new Mets was found in the participants of the lowest tertile of LXA4 levels as compared with that in participants of the highest tertile (P = 0.025). Low serum LXA4 levels [OR 2.607(1.151-5.909), P = 0.022] and high VFA [OR 2.571(1.176-5.620), P = 0.018] were associated with an increased incident Mets, respectively, which remained statistically significant after adjustment for age, gender, current smoking, and alcohol drinking status. Logistic regression analysis suggested a combination of low serum LXA4 levels and high WC/VFA might optimize the prediction of incident Mets in middle-aged Chinese population [OR 4.897/4.967, P = 0.009/0.003]. Decrease in serum LXA4 level and increase in VFA are independent predictors of incident Mets in a population-based cohort, and a combination of them enhances the prognostic value of incident Mets. Taken together, our data suggest that serum LXA4 levels might be useful for early detection and prevention of Mets.
authors.affiliation: Department of Endocrinology, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
authors.forename: Dan
authors.initials: D
authors.lastname: Yu
authors.affiliation: Department of Endocrinology, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
authors.forename: Zhiye
authors.initials: Z
authors.lastname: Xu
authors.affiliation: Department of Endocrinology, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
authors.forename: Xueyao
authors.initials: X
authors.lastname: Yin
authors.affiliation: Department of Endocrinology, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
authors.forename: Fenping
authors.initials: F
authors.lastname: Zheng
authors.affiliation: Department of Endocrinology, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
authors.forename: Xihua
authors.initials: X
authors.lastname: Lin
authors.affiliation: Department of Endocrinology, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
authors.forename: Qianqian
authors.initials: Q
authors.lastname: Pan
authors.affiliation: Department of Endocrinology, Sir Run Run Shaw Hospital Affiliated to School of Medicine, Zhejiang University, Hangzhou, Zhejiang, P. R. China.
authors.forename: Hong
authors.initials: H
authors.lastname: Li
mesh_terms: D050154:Adiposity; D000328:Adult; D000368:Aged; D000893:Anti-Inflammatory Agents / Q000737:chemistry; D016718:Arachidonic Acid / Q000737:chemistry; D015992:Body Mass Index; D002681:China; D003430:Cross-Sectional Studies; D004797:Enzyme-Linked Immunosorbent Assay; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D044045:Lipoxins / Q000097:blood* / Q000737:chemistry; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000175:diagnosis; D008875:Middle Aged; D009765:Obesity / Q000473:pathology; D015995:Prevalence; D011446:Prospective Studies; D012044:Regression Analysis; D012307:Risk Factors; D012907:Smoking
chemical_list: D000893:Anti-Inflammatory Agents; D044045:Lipoxins; C040527:lipoxin A4; D016718:Arachidonic Acid