scholarly journals Anterior thigh composition measured using ultrasound imaging to quantify relative thickness of muscle and non-contractile tissue: a potential biomarker for musculoskeletal health

2014 ◽  
Vol 35 (10) ◽  
pp. 2165-2176 ◽  
Author(s):  
Sandra Agyapong-Badu ◽  
Martin Warner ◽  
Dinesh Samuel ◽  
Marco Narici ◽  
Cyrus Cooper ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Musculoskeletal Health ◽  
Relative Thickness ◽  
Anterior Thigh ◽  
Potential Biomarker ◽  
Contractile Tissue

scholarly journals Non-Invasive Biomarkers of Musculoskeletal Health with High Discriminant Ability for Age and Gender

2021 ◽  
Vol 10 (7) ◽  
pp. 1352
Author(s):  
Sandra Agyapong-Badu ◽  
Martin B. Warner ◽  
Dinesh Samuel ◽  
Vasiliki Koutra ◽  
Maria Stokes
Keyword(s):  
Physical Function ◽  
Peak Flow ◽  
Community Dwelling ◽  
Thigh Muscle ◽  
Musculoskeletal Health ◽  
Timed Up And Go ◽  
Age And Gender ◽  
Linear Discriminant ◽  
Anterior Thigh ◽  
And Gender

A novel approach to ageing studies assessed the discriminatory ability of a combination of routine physical function tests and novel measures, notably muscle mechanical properties and thigh composition (ultrasound imaging) to classify healthy individuals according to age and gender. The cross-sectional study included 138 community-dwelling, self-reported healthy males and females (65 young, mean age ± SD = 25.7 ± 4.8 years; 73 older, 74.9 ± 5.9 years). Handgrip strength; quadriceps strength; respiratory peak flow; timed up and go; stair climbing time; anterior thigh tissue thickness; muscle stiffness, tone, elasticity (Myoton technology), and self-reported health related quality of life (SF36) were assessed. Stepwise feature selection using cross-validation with linear discriminant analysis was used to classify cases based on criterion variable derived from known effects of age on physical function. A model was trained and features selected using 126 cases with 0.92 accuracy (95% CI = 0.86–0.96; Kappa = 0.89). The final model included five features (peak flow, timed up and go, biceps brachii elasticity, anterior thigh muscle thickness, and percentage thigh muscle) with high sensitivity (0.82–0.96) and specificity (0.94–0.99). The most sensitive novel biomarkers require no volition, highlighting potentially useful tests for screening and monitoring effects of interventions on musculoskeletal health for vulnerable older people with pain or cognitive impairment.

scholarly journals Anterior Thigh Tissue Thickness Measured Using Ultrasound Imaging in Older Recreational Female Golfers and Sedentary Controls

Geriatrics ◽  
2017 ◽  
Vol 2 (1) ◽  
pp. 10 ◽  
Author(s):  
Isabel Herrick ◽  
Simon Brown ◽  
Sandra Agyapong-Badu ◽  
Martin Warner ◽  
Sean Ewings ◽  
...  
Keyword(s):  
Ultrasound Imaging ◽  
Tissue Thickness ◽  
Anterior Thigh

scholarly journals Validity of Ultrasound Imaging Versus Magnetic Resonance Imaging for Measuring Anterior Thigh Muscle, Subcutaneous Fat, and Fascia Thickness

2019 ◽  
Vol 2 (3) ◽  
pp. 58 ◽  
Author(s):  
Mechelli ◽  
Arendt-Nielsen ◽  
Stokes ◽  
Agyapong-Badu
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Subcutaneous Fat ◽  
Thickness Measurement ◽  
Thigh Muscle ◽  
Poor Correlation ◽  
Resonance Imaging ◽  
Anterior Thigh ◽  
Mri Measurements ◽  
Contractile Tissue

The aim of the present study was to determine the validity of ultrasound (US) imaging versus magnetic resonance imaging (MRI) for measuring anterior thigh muscle, subcutaneous adipose tissue (SAT), and fascia thickness. Twenty healthy, moderately active participants (aged 49.1 ± 9.74 [36–64] years), underwent imaging of the anterior thigh, using ultrasound and MRI modalities on the same day. Images were analyzed offline to assess the level of agreement between US and MRI measurements. Pearson’s correlation coefficient showed an excellent relationship between US imaging and MRI for measuring muscle (r = 0.99, p < 0.01), SAT (r = 0.99, p < 0.01), and non-contractile tissue (SAT combined with perimuscular fascia) thickness (r = 0.99, p < 0.01). Perimuscular fascia thickness measurement showed a poor correlation between modalities (r = 0.39, p < 0.01). Intra-class correlation coefficients (ICC3,1) also showed excellent correlation of the measurements with ICC = 0.99 for muscle thickness, SAT, and non-contractile tissue, but not for perimuscular fascia, which showed poor agreement ICC = 0.36. Bland and Altman plots demonstrated excellent agreement between US imaging and MRI measurements. Criterion validity was demonstrated for US imaging against MRI, for measuring thickness of muscle and SAT, but not perimuscular fascia alone on the anterior thigh. The US imaging technique is therefore applicable for research and clinical purposes for muscle and SAT.

The miR-21 potential of serving as a biomarker for liver diseases in clinical practice

2020 ◽  
Vol 48 (5) ◽  
pp. 2295-2305
Author(s):  
Jiawei Zhang ◽  
Dandan Li ◽  
Rui Zhang ◽  
Peng Gao ◽  
Rongxue Peng ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Liver Diseases ◽  
Hepatic Disease ◽  
Noninvasive Detection ◽  
Diagnosis And Prognosis ◽  
Expected Performance ◽  
Potential Biomarker ◽  
Disease Condition ◽  
Complex Regulatory Network

The role of miR-21 in the pathogenesis of various liver diseases, together with the possibility of detecting microRNA in the circulation, makes miR-21 a potential biomarker for noninvasive detection. In this review, we summarize the potential utility of extracellular miR-21 in the clinical management of hepatic disease patients and compared it with the current clinical practice. MiR-21 shows screening and prognostic value for liver cancer. In liver cirrhosis, miR-21 may serve as a biomarker for the differentiating diagnosis and prognosis. MiR-21 is also a potential biomarker for the severity of hepatitis. We elucidate the disease condition under which miR-21 testing can reach the expected performance. Though miR-21 is a key regulator of liver diseases, microRNAs coordinate with each other in the complex regulatory network. As a result, the performance of miR-21 is better when combined with other microRNAs or classical biomarkers under certain clinical circumstances.

Triglyceride to high density lipoprotein cholesterol ratio, total cholesterol to high density lipoprotein cholesterol ratio and low ankle brachial index in an elderly population

VASA ◽  
2014 ◽  
Vol 43 (3) ◽  
pp. 189-197 ◽  
Author(s):  
Yiqiang Zhan ◽  
Jinming Yu ◽  
Rongjing Ding ◽  
Yihong Sun ◽  
Dayi Hu
Keyword(s):  
High Density Lipoprotein ◽  
Total Cholesterol ◽  
High Density Lipoprotein Cholesterol ◽  
Ankle Brachial Index ◽  
Density Lipoprotein ◽  
High Density ◽  
Lipoprotein Cholesterol ◽  
Lipid Lowering ◽  
Cholesterol Ratio ◽  
Potential Biomarker

Background: The associations of triglyceride (TG) to high-density lipoprotein cholesterol ratio (HDL‑C) and total cholesterol (TC) to HDL‑C ratio and low ankle brachial index (ABI) were seldom investigated. Patients and methods: A population based cross-sectional survey was conducted and 2982 participants 60 years and over were recruited. TG, TC, HDL‑C, and low-density lipoprotein cholesterol (LDL-C) were assessed in all participants. Low ABI was defined as ABI ≤ 0.9 in either leg. Multiple logistic regression models were applied to study the association between TG/HDL‑C ratio, TC/HDL‑C ratio and low ABI. Results: The TG/HDL‑C ratios for those with ABI > 0.9 and ABI ≤ 0.9 were 1.28 ± 1.20 and 1.48 ± 1.13 (P < 0.0001), while the TC/HDL‑C ratios were 3.96 ± 1.09 and 4.32 ± 1.15 (P < 0.0001), respectively. After adjusting for age, gender, body mass index, obesity, current drinking, physical activity, hypertension, diabetes, lipid-lowering drugs, and cardiovascular disease history, the odds ratios (ORs) with 95 % confidence intervals (CIs) of low ABI for TG/HDL‑C ratio and TC/HDL‑C ratio were 1.10 (0.96, 1.26) and 1.34 (1.14, 1.59) in non-smokers. When TC was further adjusted, the ORs (95 % CIs) were 1.40 (0.79, 2.52) and 1.53 (1.21, 1.93) for TG/HDL‑C ratio and TC/HDL‑C ratio, respectively. Non-linear relationships were detected between TG/HDL‑C ratio and TC/HDL‑C ratio and low ABI in both smokers and non-smokers. Conclusions: TC/HDL‑C ratio was significantly associated with low ABI in non-smokers and the association was independent of TC, TG, HDL‑C, and LDL-C. TC/HDL‑C might be considered as a potential biomarker for early peripheral arterial disease screening.

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