1.Correlation of serum complement C1q level with metabolic syndrome
Haoneng TANG ; Shoupin LIU ; Ruohong CHEN ; Yaoyang FU ; Siqi ZHUANG ; Min HU ; Lingli TANG
Chinese Journal of Laboratory Medicine 2019;42(8):657-661
Objectives To analyze the changes of serum complement C1q level in patients with metabolic syndrome (MS) and investigate whether it is associated with lipid metabolism and glycometabolism. Methods In a cross-sectional study, the subjects were selected as the patients and healthy people who went to the second xiangya hospital of central south university from July 2017 to June 2018. A total of 152 MS patients were enrolled and another 90 healthy subjects were enrolled as control group. Anthropometry parameters such as body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP) were measured. Serum concentrations of C1q and other biochemical indexes including blood glucose (GLU), triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) were measured in all groups. The correlations between C1q and these parameters were analyzed by spearman's rho test and the clinical value of C1q in predicting MS was further evaluated by stepwise multiple linear regression analysis. Results MS group had higher serum C1q levels (244.34±62.66) mg/L compared with the control group (202.37±35.92) mg/L (t=-6.250, P=0.000). C1q levels (244.34±62.66) mg/L were positively associated with TG levels [2.34(1.89, 3.62)] mmol/L (r=0.245, P=0.001), TC levels (4.91±1.26) mmol/L (r=0.398, P=0.000), LDL-C levels (3.23±1.03) mmol/L (r=0.325, P=0.000) in MS group, While C1q levels (258.92±69.59)mg/L were positively associated with SBP (144.76 ± 22.94) mmHg (r=0.388, P=0.018), TG levels [2.65(1.87, 3.82)] mmol / L (r=0.482, P=0.003), TC levels (5.18±1.31) mmol/L (r=0.529,P=0.001) in MS patients with obesity. The stepwise multiple regression analysis showed that TG levels were independently correlated with serum C1q levels both in MS patients (β=0.302, P=0.000) and in MS patients with obesity (β=0.653, P=0.000) after adjusting for age, gender and other biochemical markers. Conclusions MS patients had higher C1q levels than healthy subjects and serum C1q levels were closely positive related to harmful lipid profiles. Serum TG level was an independent influencing factor of serum C1q in MS patients.
2. A retrospective analysis of infection and antimicrobial susceptibility of genital mycoplasma in Changsha from 2010 to 2017
Qinglin LIU ; Yaoyang FU ; Qian HU ; Qianqin YUAN ; Hui LIN ; Chuanhao JIANG ; Haoneng TANG ; Lingli TANG
Chinese Journal of Laboratory Medicine 2019;42(11):942-948
Objective:
To study the prevalence and antimicrobial susceptibility of
3.Analysis of discordance between HbA1c and FPG criteria for dysglycemia screening in physical examination individuals
Xiaojing FENG ; Yanyi YANG ; Yiyuan FANG ; Siqi ZHUANG ; Yufeng DAI ; Lingli TANG ; Haoneng TANG
Chinese Journal of Preventive Medicine 2021;55(6):780-785
The general data, blood routine, liver and kidney function, glucose metabolism and lipid metabolism of 11 922 participants who underwent physical examination at the Health Management Center of the Second Xiangya Hospital of Central South University from January 2019 to December 2019 were collected. Clinical characteristics and independent factors of patients with discordance between HbA1c and FPG were evaluated and analyzed. The prevalence of HbA1c-defined diabetes and prediabetes (respectively 8.13%, 34.79%) were significantly higher than that in FPG-defined diabetes and prediabetes (respectively 4.70%, 8.97%) (χ2=2 635.940; P<0.001). The prevalence of inconsistence between HbA1c and FPG was 35.65% and increased with increasing age. This inconsistence mainly occurred in population with HbA1c:5.7%-6.0% and FPG<5.6 mmol/L, followed by population with HbA1c:6.1%-6.4% and FPG<5.6 mmol/L. The risk factors of inconsistency included advanced age, overweight or obesity, hypoalbuminemia, dyslipidemia and hyperuricemia. Among these special participants, compared with participants under 45 years old, participants with over 45 years of age ( OR=3.525, 95% CI: 3.216-3.863, P<0.001) were more likely to have inconsistence between HbA1c and FPG; and overweight participants ( OR=1.474, 95% CI: 1.341-1.620, P<0.001) or obese participants ( OR=1.856, 95% CI: 1.633-2.110, P<0.001) are prone to have the inconsistence than those with normal weight.
4.Analysis of discordance between HbA1c and FPG criteria for dysglycemia screening in physical examination individuals
Xiaojing FENG ; Yanyi YANG ; Yiyuan FANG ; Siqi ZHUANG ; Yufeng DAI ; Lingli TANG ; Haoneng TANG
Chinese Journal of Preventive Medicine 2021;55(6):780-785
The general data, blood routine, liver and kidney function, glucose metabolism and lipid metabolism of 11 922 participants who underwent physical examination at the Health Management Center of the Second Xiangya Hospital of Central South University from January 2019 to December 2019 were collected. Clinical characteristics and independent factors of patients with discordance between HbA1c and FPG were evaluated and analyzed. The prevalence of HbA1c-defined diabetes and prediabetes (respectively 8.13%, 34.79%) were significantly higher than that in FPG-defined diabetes and prediabetes (respectively 4.70%, 8.97%) (χ2=2 635.940; P<0.001). The prevalence of inconsistence between HbA1c and FPG was 35.65% and increased with increasing age. This inconsistence mainly occurred in population with HbA1c:5.7%-6.0% and FPG<5.6 mmol/L, followed by population with HbA1c:6.1%-6.4% and FPG<5.6 mmol/L. The risk factors of inconsistency included advanced age, overweight or obesity, hypoalbuminemia, dyslipidemia and hyperuricemia. Among these special participants, compared with participants under 45 years old, participants with over 45 years of age ( OR=3.525, 95% CI: 3.216-3.863, P<0.001) were more likely to have inconsistence between HbA1c and FPG; and overweight participants ( OR=1.474, 95% CI: 1.341-1.620, P<0.001) or obese participants ( OR=1.856, 95% CI: 1.633-2.110, P<0.001) are prone to have the inconsistence than those with normal weight.
5.Research progress of long noncoding RNA in regulating adipogenesis.
Haoneng TANG ; Yaru CHEN ; Houde ZHOU
Journal of Central South University(Medical Sciences) 2018;43(8):912-919
Long noncoding RNA (lncRNA) is once thought to be the genome transcriptional "noise". However, it has received considerable attention in the past few years and is emerging as potentially important player in biological regulation. Recent studies have revealed that increasing number of lncRNA plays pivotal roles in regulating the gene expression which involves in the development of the human disease. Functions of lncRNA include 3 types of interaction: RNA-RNA, RNA-DNA, and RNA-protein, which may participate in gene expression regulation through epigenetic modifications, transcriptional regulation, post-transcriptional regulation, acting as biological media. Due to the prevalence of obesity and related diseases, some attempts have been done to explore the pathogenesis of obesity from the field of noncoding RNA. Several lncRNAs have been identified to be involved in the regulation of the adipogenesis (white adipose tissue and brown adipose tissue) and energy metabolism. In this review, we summarized recent advances of lncRNAs to provide a new sight for the mechanism of obesity.
Adipogenesis
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genetics
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Epigenesis, Genetic
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Gene Expression Regulation
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Humans
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RNA, Long Noncoding
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physiology
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RNA, Untranslated
6.Research progress in detection method for bisphenol A in food packaging materials
Yuqing MA ; Wanli DUAN ; Lei PENG ; Bingjie GENG ; Lingxuan TANG ; Haoneng WANG ; Fangyuan GAO
Shanghai Journal of Preventive Medicine 2023;35(6):604-612
As an industrial chemical, bisphenol A is widely used in various food packaging materials. However, it is an endocrine disrupting chemical, which has estrogen activity and can cause certain damage to humans. So far, there are few studies on the detection of bisphenol A in self-heating food packaging materials, and there remains a lack of relevant standard. Therefore, it is necessary to establish a simple, sensitive and efficient method for the detection of bisphenol A in self-heating food. This study briefly introduces the pretreatment methods of bisphenol A, such as ultrasonic extraction, solid phase extraction, accelerated solvent extraction, and detection methods, such as gas chromatography-mass spectrometry, high performance liquid chromatography, fluorescent detection, and electrochemical detection.