遗传性代谢疾病成年患者的肌肉质量与代谢综合征风险

IF 2 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Luis Mguel Luengo-Pérez, Ana Ambrojo, Mercedes Fernández-Bueso, Marta Guijarro, Ana Ferreira, Goncalo Luzes, M. Pereira, Conceição Calhau, Júlio Cesar Rocha
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引用次数: 0

摘要

:患有多种遗传性代谢疾病(IMD)的成年患者的饮食中蛋白质含量较低,但碳水化合物和游离氨基酸配方丰富,会导致高胰岛素血症和异位脂肪。先前的研究表明,IMD 成年患者的代谢综合征及其并发症发病率较高[1]。最近,通过超声波(US)主观评估肌肉质量,对营养不良进行了验证[2]。在老龄化[3]和其他临床环境中,较高的回波强度(EI)与较差的肌肉质量和功能结果相关,但在 IMD 中却从未进行过评估。巴达霍斯大学医院(HUB)对 19 名 IMD 患者和 6 名健康对照者进行了 US 测量,以评估 EI、人体测量、生物阻抗和生物化学。HUB 伦理委员会批准了该方案和知情同意书。数据使用 Jamovi 进行统计。IMD 患者的平均年龄为 29.9 岁(18-47 岁不等),对照组为 33.7 岁(26-47 岁不等)。图 2 显示了 IMD 的分布情况。IMD 患者的平均 EI 为 56.9(PKU 患者为 60.9),对照组为 54.4,差异无统计学意义(t- 学生 p =0.633;PKU 患者 p =0.246)。方框图见图 3。根据不同的方法(图 4):人体测量法、BIA、腹膜前脂肪或肌骨质疏松症,IMD 患者体内脂肪过多的程度各不相同。根据 HOMA 值,40% 的患者有胰岛素抵抗,20% 的患者有糖尿病前期(根据 HbA1c 值),58.8% 的患者高密度脂蛋白胆固醇水平较低,29.4% 的患者有高甘油三酯血症。胰岛素抵抗状况见图 5。人体测量法得出的肥胖与超声波得出的腹部皮下脂肪和腹膜前脂肪以及 BIA 得出的脂肪量显著相关。通过 BIA 测定的脂肪量与腹膜前脂肪相关,通过 BIA 测定的无脂肪量与 HOMA 和 IMD 的代谢控制程度相关。通过回声强度等客观工具,IMD 患者的肌肉质量比对照组差,反映出肌肉代谢状况较差,患代谢综合征的风险较高。可能由于样本量较小,这一结果在统计学上并不显著。与同龄的普通人群相比,IMD 患者的肥胖和其他代谢综合征的发病率更高。通过 BIA 和营养超声波进行身体成分分析,有助于在生化指标出现之前发现有代谢综合征风险的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Muscle Quality and Risk of Metabolic Syndrome in Adult Patients with Inherited Metabolic Diseases
: Adult patients with several Inherited Metabolic Diseases (IMD) follow diets controlled in proteins, rich in carbohydrates, and free amino acids formulae, which cause hyperinsulinism and ectopic fat. Previous studies showed IMD adult patients have a higher prevalence of metabolic syndrome and their complications [1]. Recently, ultrasound [US) has been validated for malnutrition, assessing muscle quality subjectively [2]. Higher echo intensity (EI) is associated with poorer muscle quality and functional results in aging [3] and other clinical settings, but it has never been evaluated in IMD. US measurements were conducted on 19 IMD patients and 6 healthy controls at Hospital Universitario de Badajoz (HUB) to assess EI, anthropometry, bioimpedance, and biochemistry. The HUB ethics committee approved the protocol and informed consent. Statistics were made with Jamovi. The mean age was 29.9 (range 18-47) in IMD patients vs. 33.7 (26-47) in controls. The distribution of IMD is shown in Figure 2. The mean EI in IMD was 56.9 (60.9 in PKU) vs. 54.4 in controls, NOT being the differences statistically significant (t- Student p =0.633; in PKU, p =0.246). The box plot is shown in Figure 3. IMD patients had excess body fat in a variable degree depending on the method (Figure 4): anthropometry, BIA, preperitoneal fat or myosteatosis. 40% had insulin resistance by HOMA, 20% prediabetes by HbA1c, 58.8% had low HDL-cholesterol levels, and 29.4% had hypertriglyceridemia. Insulin resistance status is shown in Figure 5. Obesity by anthropometry was significantly correlated with subcutaneous abdominal and preperitoneal fat by ultrasound and fat mass by BIA. Fat mass by BIA was correlated to preperitoneal fat, and fat-free mass by BIA with HOMA and degree of metabolic control of IMD. Muscle quality, by an objective tool, such as echo intensity, is worse in patients with IMD than in controls, reflecting poorer muscle metabolic condition and a higher risk of metabolic syndrome. It is not statistically significant, probably due to the small sample size. The prevalence of obesity and other metabolic syndrome components is higher in IMD patients than in the general population of the same age. Body composition analysis by BIA and nutritional ultrasound can help to identify patients at risk of metabolic syndrome before biochemical markers show.
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来源期刊
Endocrine, metabolic & immune disorders drug targets
Endocrine, metabolic & immune disorders drug targets ENDOCRINOLOGY & METABOLISMIMMUNOLOGY-IMMUNOLOGY
CiteScore
4.60
自引率
5.30%
发文量
217
期刊介绍: Aims & Scope This journal is devoted to timely reviews and original articles of experimental and clinical studies in the field of endocrine, metabolic, and immune disorders. Specific emphasis is placed on humoral and cellular targets for natural, synthetic, and genetically engineered drugs that enhance or impair endocrine, metabolic, and immune parameters and functions. Moreover, the topics related to effects of food components and/or nutraceuticals on the endocrine-metabolic-immune axis and on microbioma composition are welcome.
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