Evidence map›Paper›PMID 38383671›Full record

ArticleActa diabetologica2024

Elevated serum levels of leukocyte cell-derived chemotaxin 2 are associated with the prevalence of metabolic syndrome.

Xialei Zheng, Junmi Lu, Shaojun Xiang, Pu Zou, Hao Chen, Jing Liu, Cheng Zeng, Yuhu He

Abstract read
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In one paragraph

Article in Acta diabetologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Xialei ZhengDepartment of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Junmi LuDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Shaojun XiangDepartment of Cardiology, Hong Jiang Hospital of Traditional Chinese Medicine, Huaihua, 418200, Hunan, China.
Pu ZouDepartment of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Hao ChenDepartment of Cardiology, The Second Affiliated Hospital of University of South China, Hengyang, 421200, Hunan, China.
Jing LiuDepartment of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Cheng ZengDepartment of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Yuhu HeDepartment of Cardiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China. heyuhu1986@126.com.ORCID http://orcid.org/0000-0002-4814-1369
Central South University · CNJiangmen Wuyi Traditional Chinese Medicine Hospital · CNUniversity of South China · CN

Funding

National Natural Science Foundation of China 82171557Science Fund for Distinguished Young Scholars of Hunan Province 2021JJ20085
6 · The paper itself

Abstract

aimsInflammation is central to the pathogenesis of metabolic syndrome (MetS). Leukocyte cell-derived chemotaxin 2 (LECT2) is constitutively secreted in response to inflammatory stimuli and oxidative stress contributing to tissue or systemic inflammation. We explored the relationship between LECT2 levels and MetS severity in humans and mice.

methodsSerum LECT2 levels were measured in 210 participants with MetS and 114 without MetS (non-MetS). LECT2 expression in the liver and adipose tissue was also examined in mice fed a high-fat diet (HFD) and genetically obese (ob/ob) mice.

resultsSerum LECT2 levels were significantly higher in MetS participants than in non-MetS participants (7.47[3.36-17.14] vs. 3.74[2.61-5.82], P < 0.001). Particularly, serum LECT2 levels were significantly elevated in participants with hypertension, central obesity, diabetes mellitus (DM), hyperglycaemia, elevated triglyceride (TG) levels, and reduced high-density lipoprotein cholesterol (HDL-C) levels compared to those in participants without these conditions. Pearson's correlation analysis showed that serum LECT2 levels were positively associated with conventional risk factors in all patients. Moreover, LECT2 was positively associated with the number of MetS components (r = 0.355, P < 0.001), indicating that higher serum LECT2 levels reflected MetS severity. Multivariate regression analysis revealed that a one standard deviation increase in LECT2 was associated with an odds ratio of 1.52 (1.01-2.29, P = 0.044) for MetS prevalence after adjusting for age, sex, body mass index, waist circumference, smoking status, white blood cell count, fasting blood glucose, TG, total cholesterol, HDL-C, blood urea nitrogen, and alanine aminotransferase. Receiver operating characteristic curve analysis confirmed the strong predictive ability of serum LECT2 levels for MetS. The optimum serum LECT2 cut-off value was 9.05. The area under the curve was 0.73 (95% confidence interval 0.68-0.78, P < 0.001), with a sensitivity and specificity of 45.71% and 95.61%, respectively. Additionally, LECT2 expression levels were higher at baseline and dramatically enhanced in metabolic organs (e.g. the liver) and adipose tissue in HFD-induced obese mice and ob/ob mice.

conclusionsIncreased LECT2 levels were significantly and independently associated with the presence and severity of MetS, indicating that LECT2 could be used as a novel biomarker and clinical predictor of MetS.

Indexed as

Intercellular Signaling Peptides and ProteinsMetabolic SyndromeAdultAnimalsDiet, High-FatFemaleHumansMaleMiceMice, Inbred C57BLMice, ObesePrevalenceIntercellular Signaling Peptides and ProteinsLECT2 protein, humanLect2 protein, mouseInflammationLECT2Metabolic syndrome

Identifiers

PMID38383671
OpenAlexW4392056874

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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 OpenQuestion graph.