Patterns of Lipid Abnormalities in Obesity: A Comparative Analysis in Normoglycemic and Prediabetic Obese Individuals.

IF 3 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Journal of Personalized Medicine Pub Date : 2024-09-15 DOI:10.3390/jpm14090980
Yazeed Alshuweishi, Abdulmalik A Almufarrih, Arwa Abudawood, Dalal Alfayez, Abdullah Y Alkhowaiter, Hamood AlSudais, Abdulaziz M Almuqrin
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Abstract

Background: Obesity is a growing global health concern, often accompanied by dyslipidemia, contributing to cardiovascular risk. Understanding the patterns of dyslipidemia in different glycemic states is crucial for targeted interventions. This study compares dyslipidemia patterns in normoglycemic and prediabetic obesity to improve clinical management strategies. Methods: The study analyzed the complete lipid profiles of 138 subjects, comparing the medians, prevalence, diagnostic performance, and risk assessment of each lipid parameter across 54 non-obese (NO), 44 normoglycemic obese (NG-OB), and 40 pre-diabetic obese (PreDM-OB) groups. Results: Elevated total cholesterol (TC) and low-density lipoprotein (LDL) were the most prevalent forms of dyslipidemia observed in obesity (45.35% and 43.53%, respectively). Stratification by glycemic status revealed that triglyceride (TG) levels were elevated in both the NG-OB and PreDM-OB groups, with a more marked increase in the latter group (73.07 mg/dL vs. 97.87 mg/dL vs. 121.8 mg/dL, respectively). Elevated LDL showed better diagnostic performance and higher odds ratios (OR) in the NG-OB group (AUC = 0.660, p = 0.006; OR = 2.78, p = 0.022). Conversely, low high-density lipoprotein (HDL) was more common and exhibited significant diagnostic performance, with higher OR values in the PreDM-OB group (AUC = 0.687, p = 0.002; OR = 3.69, p = 0.018). Importantly, all lipid ratios were elevated in obesity, with TC/HDL showing the highest predictive ability for prediabetes (AUC = 0.7491, p < 0.001). Conclusions: These findings revealed unique and common lipid abnormalities in normoglycemic and prediabetic obesity. Future research should explore the effects of targeted lipid management on obesity-associated complications.

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肥胖症的血脂异常模式:血糖正常者与糖尿病前期肥胖者的比较分析。
背景:肥胖症是一个日益严重的全球健康问题,通常伴有血脂异常,导致心血管风险。了解不同血糖状态下的血脂异常模式对于采取有针对性的干预措施至关重要。本研究比较了血糖正常肥胖和糖尿病前期肥胖的血脂异常模式,以改进临床管理策略。研究方法该研究分析了 138 名受试者的完整血脂谱,比较了 54 个非肥胖(NO)组、44 个正常血糖肥胖(NG-OB)组和 40 个糖尿病前期肥胖(PreDM-OB)组各血脂参数的中位数、患病率、诊断性能和风险评估。研究结果总胆固醇(TC)和低密度脂蛋白(LDL)升高是肥胖症中最常见的血脂异常形式(分别占 45.35% 和 43.53%)。按血糖状况分层显示,NG-OB 组和 PreDM-OB 组的甘油三酯(TG)水平均升高,后者的升高更为明显(分别为 73.07 mg/dL vs. 97.87 mg/dL vs. 121.8 mg/dL)。低密度脂蛋白升高在 NG-OB 组显示出更好的诊断性能和更高的几率比(OR)(AUC = 0.660,P = 0.006;OR = 2.78,P = 0.022)。相反,低高密度脂蛋白(HDL)更为常见,且诊断效果显著,PreDM-OB 组的 OR 值更高(AUC = 0.687,p = 0.002;OR = 3.69,p = 0.018)。重要的是,肥胖症患者的所有血脂比率均升高,其中 TC/HDL 对糖尿病前期的预测能力最高(AUC = 0.7491,p < 0.001)。结论这些发现揭示了正常血糖和糖尿病前期肥胖症中独特和常见的血脂异常。未来的研究应探讨有针对性的血脂管理对肥胖相关并发症的影响。
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来源期刊
Journal of Personalized Medicine
Journal of Personalized Medicine Medicine-Medicine (miscellaneous)
CiteScore
4.10
自引率
0.00%
发文量
1878
审稿时长
11 weeks
期刊介绍: Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.
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