A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals.

A Miniaturized MicroRNA Sensor Identifies Targets Associated with Weight Loss in a Diet and Exercise Intervention among Healthy Overweight Individuals.
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DOI:
10.3390/s22186758
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发表时间:
2022-09-07
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Nawarathna D
Nawarathna D
中科院分区:
其他
文献类型:
--
作者:
Jayasooriya V;Johnson N;Bradley A;Kotarsky C;Jepng'etich L;Friesner D;Stastny S;Hackney KJ;Nawarathna D

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通过饮食和运动干预减肥是常见的处方,但并不是对所有人都有效。最近的研究表明,循环microRNA(miR)生物标志物可能用于识别可能通过饮食和运动减肥并获得健康体重的个体。然而,准确检测临床样品中的miR是困难的、容易出错的且昂贵的。为了解决这个问题,我们最近开发了iLluminate-一种适用于即时检测的低成本和高灵敏度的miR传感器。为了研究miR测试和iLluminate是否可用于现实世界的肥胖应用,我们开发了一种试验性饮食和运动干预,并利用iLluminate评估miR生物标志物。我们评估了miR-140、miR-935、miR-7 b和miR-99 a的表达,这些miR-140、miR-935、miR-7 b和miR-99 a是脂肪减少、能量代谢和脂肪形成分化的生物标志物。应答者比非应答者失去更多的总质量、组织质量和脂肪质量。miR-140、miR-935、miR-7 b和miR-99 a共同分别占脂肪和瘦体重解释变异性的6.9%和8.8%。在个体系数水平上,miR-140和-935与脂肪减少显著相关。总体而言,miR-140和miR-935提供了体重和脂肪量变化的额外程度的预测能力。
Weight loss through dietary and exercise intervention is commonly prescribed but is not effective for all individuals. Recent studies have demonstrated that circulating microRNA (miR) biomarkers could potentially be used to identify individuals who will likely lose weight through diet and exercise and attain a healthy body weight. However, accurate detection of miRs in clinical samples is difficult, error-prone, and expensive. To address this issue, we recently developed iLluminate—a low-cost and highly sensitive miR sensor suitable for point-of-care testing. To investigate if miR testing and iLluminate can be used in real-world obesity applications, we developed a pilot diet and exercise intervention and utilized iLluminate to evaluate miR biomarkers. We evaluated the expression of miRs-140, -935, -let-7b, and -99a, which are biomarkers for fat loss, energy metabolism, and adipogenic differentiation. Responders lost more total mass, tissue mass, and fat mass than non-responders. miRs-140, -935, -let-7b, and -99a, collectively accounted for 6.9% and 8.8% of the explained variability in fat and lean mass, respectively. At the level of the individual coefficients, miRs-140 and -935 were significantly associated with fat loss. Collectively, miRs-140 and -935 provide an additional degree of predictive capability in body mass and fat mass alternations.
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