Lean Mass Ratio Research Articles

Individual-specific metabolic network based on 18F-FDG PET revealing multi-level aberrant metabolisms in Parkinson's disease.

Metabolic network analysis in Parkinson's disease (PD) based on 18F-FDG PET has revealed PD-related metabolic patterns. However, alterations at the systemic metabolic network level and at the connection level between different brain regions still remain unknown. This study aimed to explore metabolic network alterations at multiple network levels among PD patients using an individual-specific metabolic network (ISMN) approach. 18F-FDG-PET images of patients with PD (n = 34) and healthy subjects (n = 47) were collected. Healthy subjects were further separated into reference group (n = 28) and control group (n = 19) randomly. Standardized uptake value normalized by lean body mass ratio (SULr) maps was calculated from the PET images. ISMNs were constructed based on SULr maps for PD patients and controls with reference to the reference group. Comparisons of nodal and edge features were performed between PD and control groups. Correlation analysis was conducted between multilevel network properties and clinical scales in PD group. A linear classifier was trained based on nodal or edge features to distinguish PD from controls. The distance from each patient's ISMN to the group-level difference network showed a negative correlation with Hoehn and Yahr stage (r = -0.390, p = .023). Eight nodes from ISMN were identified which exhibited significantly increased nodal degree in PD patients compared to controls (p < .05). Eleven edges were observed which demonstrated significant distinctions in Z-score values in comparisons to the control group (p < .05). Furthermore, the nodal and edge features showed comparable performances in PD diagnosis compared to the traditional SULr values, with area under the receiver operating characteristic curve larger than 0.91. The proposed ISMN approach revealed systemic metabolic deviations, as well as nodal and edge distinctions in PD, which might be supplementary to the existing findings on PD-related metabolic patterns.

A detailed analysis of body composition in relation to cardiopulmonary exercise test indices

A cardiopulmonary exercise test (CPET) is a test assessing an individual’s physiological response during exercise. Results may be affected by body composition, which is best evaluated through imaging techniques like magnetic resonance imaging (MRI). The aim of this study was to assess relationships between body composition and indices obtained from CPET. A total of 234 participants (112 female), all aged 50 years, underwent CPETs and whole-body MRI scans (> 1 million voxels). Voxel-wise statistical analysis of tissue volume and fat content was carried out with a method called Imiomics and related to the CPET indices peak oxygen consumption (V̇O2peak), V̇O2peak scaled by body weight (V̇O2kg) and by total lean mass (V̇O2lean), ventilatory efficiency (V̇E/V̇CO2-slope), work efficiency (ΔV̇O2/ΔWR) and peak exercise respiratory exchange ratio (RERpeak). V̇O2peak showed the highest positive correlation with volume of skeletal muscle. V̇O2kg negatively correlated with tissue volume in subcutaneous fat, particularly gluteal fat. RERpeak negatively correlated with tissue volume in skeletal muscle, subcutaneous fat, visceral fat and liver. Some associations differed between sexes: in females ΔV̇O2/ΔWR correlated positively with tissue volume of subcutaneous fat and V̇E/V̇CO2-slope with tissue volume of visceral fat, and, in males, V̇O2peak correlated positively to lung volume. In conclusion, voxel-based Imiomics provided detailed insights into how CPET indices were related to the tissue volume and fat content of different body structures.

Exploring the impact of protein intake on the association between oxidative balance score and lean mass in adults aged 20–59: NHANES 2011–2018

BackgroundPrevious studies have established a correlation between the pathogenesis of oxidative stress and sarcopenia. The Oxidative Balance Score (OBS) is an integrated measure that reflects the overall balance of antioxidants and pro-oxidants in dietary components and lifestyle. However, there are limited reports on the association between OBS and lean mass and the impact of protein intake on the association between OBS and lean mass.MethodsUsing data from the National Health and Nutrition Examination Survey from 2011 to 2018, multivariate linear and logistic regression analyses were conducted to explore the associations between OBS and outcomes. The findings were then illustrated through fitted smoothing curves and threshold effect analyses.ResultsThis study included 2,441 participants, demonstrating that higher OBS is significantly associated with an increased ratio of appendicular lean mass to body mass index. Key inflection points at OBS 31 mark pronounced changes in these associations, with age and protein intake notably affecting the association. The effect of OBS on lean mass varies among populations with high and low protein intake.ConclusionsOur findings suggest that OBS is significantly and positively associated with lean mass. A high protein intake of more than 84.5 g/day may enhance the role of OBS in influencing muscle health to improve muscle outcomes.

Central Lean Mass Distribution and the Risks of All-Cause and Cause-Specific Mortality in 40,283 UK Biobank Participants

Introduction: The purpose of this study was to investigate the association of central lean mass distribution with the risk of mortality. Methods: This cohort study included 40,283 UK Biobank participants. Cox proportional hazards regression models were used to estimate the association of central lean mass distribution, i.e., trunk-to-leg lean mass ratio, assessed by dual-energy X-ray absorptiometry, with the risk of mortality. Results: The median age of the participants was 65 years, and 52% were women. During a median follow-up of 4.18 years, 674 participants died, of whom 366 were due to cancer and 126 were due to cardiovascular causes. Compared with the lowest tertile of a trunk-to-leg lean mass ratio, the multivariable-adjusted (age, sex, ethnicity, lifestyle, comorbidities, body mass index, and appendicular muscle mass index) hazards ratios of the highest tertile of trunk-to-leg lean mass ratio were 1.55 (95% CI: 1.23–1.94), 1.69 (95% CI: 1.26–2.26), and 1.14 (95% CI: 0.72–1.80) for all-cause, cancer, and cardiovascular mortality, respectively. Neutrophil-to-lymphocyte ratio mediated 9.3% (95% CI: 3.3%–40.4%) of the association of trunk-to-leg lean mass ratio with all-cause mortality. There was evidence for additive interactions of trunk-to-leg lean mass ratio with older age and poor diet quality for all-cause mortality. Conclusion: Trunk-to-leg lean mass ratio, assessed by dual-energy X-ray absorptiometry, was positively associated with the risks of all-cause and cancer mortality, independent of general obesity and central obesity, in UK middle-aged and older adults. Central lean mass distribution may interact synergistically with aging and poor diet quality to further increase the risk of death.

L-shaped association between lean body mass to visceral fat mass ratio with hyperuricemia: a cross-sectional study.

Insufficient attention has been given to examining the correlation between body composition and hyperuricemia, leading to inconsistent findings. The primary objective of this research is to explore the association between lean body mass index (LMI), visceral fat mass index (VFMI), and hyperuricemia. A specific emphasis will be placed on assessing the link between the ratio of lean body mass to visceral fat mass (LMI/VFMI) and hyperuricemia. The present study employed a cross-sectional design and involved a total of 9,646 individuals who participated in the National Health and Nutrition Examination Survey (NHANES). To explore the associations among the variables, logistic and linear regressions were employed. Additionally, subgroup analyses and sensitivity analyses were conducted based on various characteristics. The results showed that LMI was positively associated with hyperuricemia (for Per-SD: OR = 1.88, 95%CI: 1.75, 2.01; for quartiles [Q4:Q1]: OR = 5.37, 95%CI: 4.31, 6.69). Meanwhile, VFMI showed a positive association with hyperuricemia (for Per-SD: OR = 2.02, 95%CI: 1.88, 2.16; for quartiles [Q4:Q1]: OR =8.37, 95%CI: 6.70, 10.47). When considering the effects of In LMI/VFMI, an L-shaped negative association with hyperuricemia was observed (for Per-SD: OR = 0.45, 95%CI: 0.42, 0.49; for quartiles [Q4:Q1]: OR = 0.16, 95%CI: 0.13, 0.20). Subgroup and sensitivity analyses demonstrated the robustness of this association across different subgroups. Additionally, the segmented regression analysis indicated a saturation effect of 5.64 for the In LMI/VFMI with hyperuricemia (OR = 0.20, 95%CI: 0.17, 0.24). For every 2.72-fold increase of In LMI/VFMI, the risk of hyperuricemia was reduced by 80%. The LMI/VFMI ratio is non-linearly associated with serum uric acid. Whether this association is causal needs to be confirmed in further longitudinal studies or Mendelian randomization.

The agreement of low lean mass with obesity using different definitions and its correlation with hyperuricemia.

The agreement on the identification of sarcopenic obesity remains elusive, and its association with hyperuricemia remains unestablished. This study sought to evaluate the agreement of low lean mass (LLM) with obesity and its correlation with hyperuricemia. A total of 25,252 study participants, comprising 4,597 individuals with hyperuricemia, were obtained from the National Health and Nutrition Examination Survey spanning the years 1999-2006 and 2011-2018. LLM with obesity was characterized by the coexistence of LLM, determined by the ratio of appendicular lean mass to body mass index (BMI), and three categories of obesity including BMI, body fat percentage (BF%), and waist circumference (WC). We employed Cohen's kappa to evaluate the agreement among the different diagnostic criteria and implemented survey multiple logistic regression and stratified analyses to explicate the connection between LLM with obesity and the risk of hyperuricemia. When defining obesity using BF%, BMI, and WC, the prevalence of LLM with obesity varied from 6.6 to 10.1%, with moderate-to-strong agreement. In the fully adjusted model, individuals with LLM or any of the three types of obesity exhibited notably elevated odds of developing hyperuricemia. Likewise, participants with LLM and obesity had 2.70 (LLM + BMI), 2.44 (LLM + BF%), and 3.12 (LLM + WC) times the risk of hyperuricemia, respectively, compared with healthy individuals. The association between LLM with obesity and hyperuricemia remained stable and significant across different age and sex subgroups. When employing the three definitions of obesity, the incidence of LLM with obesity was not high, and the diagnostic agreement was relatively good. The participants with LLM and obesity exhibited an increased risk of hyperuricemia.

Comparison of anthropometric, metabolic, and body compositional abnormalities in Korean children and adolescents born small, appropriate, and large for gestational age: a population-based study from KNHANES V (2010-2011).

The impacts of growth restriction and programming in the fetal stage on metabolic and bone health in children and adolescents are poorly understood. Moreover, there is insufficient evidence for the relationship between current growth status and metabolic components. Herein, we compared the growth status, metabolic and body compositions, and bone mineral density in Korean children and adolescents based on birth weight at gestational age. We studied 1,748 subjects (272 small for gestational age [SGA], 1,286 appropriate for gestational age [AGA], and 190 large for gestational age [LGA]; 931 men and 817 women) aged 10-18 years from the Korean National Health and Nutrition Examination Survey (KNHANES) V (2010-2011). Anthropometric measurements, fasting blood biochemistry, and body composition data were analyzed according to birth weight and gestational age. The prevalence of low birth weight (14.7% vs. 1.2% in AGA and 3.2% in LGA, p<0.001) and current short stature (2.237 [1.296-3.861] compared to AGA, p=0.004) in SGA subjects was greater than that in other groups; however, the prevalence of overweight and obesity risks, metabolic syndrome (MetS), and MetS component abnormalities was not. Moreover, no significant differences were found in age- and sex-adjusted lean mass ratio, fat mass ratio, truncal fat ratio, bone mineral content, or bone density among the SGA, AGA, and LGA groups in Korean children and adolescents. Our data demonstrate that birth weight alone may not be a determining factor for body composition and bone mass in Korean children and adolescents. Further prospective and longitudinal studies in adults are necessary to confirm the impact of SGA on metabolic components and bone health.

The Association between Obesity and Reduced Weight-Adjusted Bone Mineral Content in Older Adults: A New Paradigm That Contrasts with the Obesity Paradox.

The relationship between body weight and bone mass in the elderly remains unclear, and whether obesity is a protective factor is still a matter of debate. For this reason, the aim of this study is to assess the association between body mass index (BMI) and bone mineral content adjusted by body weight, expressed as a percentage (w-BMC%), and to test the validity of the obesity paradox in this context. A cohort of 1404 older adults was categorized according to the World Health Organization's BMI cut-off points and completed a total and segmental body composition measurement by means of a dual X-ray absorptiometry scan. Individuals with obesity displayed a lower mean w-BMC% (3.06 ± 0.44%; 2.60 ± 0.37%) compared to those who were normal-weight (3.95 ± 0.54%; 3.38 ± 0.48%) and overweight (3.06 ± 0.44%; 3.04 ± 0.37%) in both genders. Linear regression analysis also showed a negative association between BMI and w-BMC% in males (β = -0.09; p < 0.001) and females (β = -0.06; p < 0.001). Finally, among individuals with obesity, and after adjusting for age, the linear regression models revealed a significant decrease of 0.75% and 0.28% in w-BMC% for every one-unit increase in the trunk fat/appendicular lean mass ratio in both males (β = -0.749; p < 0.0001) and females (β = -0.281; p < 0.001). In conclusion, we suggest a new paradigm regarding the impact of obesity on bone mass, in which the former does not appear to be a protective factor of the latter, especially in individuals with central obesity and low muscle mass.

Increased Serum Soluble (Pro)renin Receptor Levels in Patients with Sarcopenia

Purpose. Sarcopenia is an advancing and widespread skeletal muscle condition characterized by the depletion of skeletal muscle mass. The (pro)renin receptor ((P)RR) is a multifaceted protein with both pathophysiological and physiological functions. (P)RR is cleaved to generate soluble (P)RR, whose blood concentration may reflect the expression level of tissue (P)RR. We have discovered that the expression of (P)RR was elevated in the atrophied skeletal muscles of aged mice and humans. Methods. In this study, we examined the correlation between muscle atrophy and serum soluble (P)RR levels in bedridden patients with sarcopenia. Results. In total, 45 subjects were enrolled. Their ages were 81 (59–89) y.o., and serum soluble (P)RR levels were 30.5 ± 7.3 ng/ml. Lean body mass ratio (lean body mass/body weight), an index of muscle mass, was independently significantly and negatively correlated with serum soluble (P)RR concentrations in all patients. In addition, the lean body mass ratio was independently significantly and negatively correlated with serum soluble (P)RR concentrations in older patients (≥82 y.o.) but not in younger patients (&lt;82 y.o.). Conclusion. These data suggested that patients with sarcopenia, especially in elderly patients, may be associated with increased (P)RR expression. The serum soluble (P)RR level could be a biomarker of sarcopenia although this issue should be investigated by future studies.

Association between lean body mass to visceral fat mass ratio and bone mineral density in United States population: a cross-sectional study

BackgroundStudies have explored the correlation between body composition and bone mineral density (BMD), but there has yet to be a consensus. Thus, the present study aims to comprehensively investigate the association between lean body mass, adipose tissue, and BMD.MethodsWe conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) (2011–2018) with 11,227 subjects. Multiple linear regression, smoothed curve fitting, threshold, and saturation effect analysis were used to explore the association between lean body mass, visceral fat mass, and BMD. Also, we used the lean body mass to visceral fat mass ratio (Log LM/VFM) as a proxy variable to analyze its association with BMD alone.ResultsAfter adjusting for potential confounding factors, the results showed a positive correlation between lean mass and total BMD (for continuous: β = 0.078, P < 0.001; for quartile: β = 0.138, P < 0.001), while visceral fat mass was negatively correlated (for continuous: β = -0.027, P < 0.001; for quartile: β = -0.065, P < 0.001). A positive correlation was observed when the alternative variable Log LM/VFM was analyzed separately for its association with BMD (for continuous: β = 0.034, P < 0.001; for quartile: β = 0.084, P < 0.001). In addition, subgroup analyses for gender, age, body mass index, hypertension, and diabetes showed that all subgroups except the diabetes subgroup showed a substantial degree of robustness (P < 0.05). The smoothed curve fitting showed a nonlinear relationship between Log LM/VFM and BMD, and there was a threshold effect with a critical value of 2.60.ConclusionMaintaining a proper ratio of lean body mass and visceral fat mass is beneficial for increasing BMD.

Anticipated correlation between lean body mass to visceral fat mass ratio and insulin resistance: NHANES 2011-2018.

The relationship between body composition and insulin resistance (IR) is controversial. This study aimed to thoroughly examine the correlation between adipose tissue, lean body mass, and IR as evaluated by the Homeostatic Model Assessment (HOMA-IR). In this cross-sectional study, we utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018. Our study included 4981 subjects, and we employed multiple linear regression, smoothed curve fitting, threshold, and saturation effect analysis to investigate the relationship between lean body mass, visceral fat mass, and IR. Also, we used the lean body mass to visceral fat ratio (Log LM/VFM) as a proxy variable to analyze its association with IR alone. The study discovered a negative link between lean body mass and IR, but the visceral fat mass was positively correlated after correcting for covariates. A negative correlation was observed when the alternative variable Log LM/VFM was analyzed separately for its association with IR. This association was present regardless of whether the exposure variables were analyzed as continuous or categorical. The data analysis revealed a nonlinear relationship between Log LM/VFM and IR, as evidenced by the generalized additive model. In addition, a threshold effect with a critical value of 1.80 and a saturation effect with a critical point of 2.5 were also observed. Further subgroup analysis for sex, age, BMI, active levels, hypertension, and diabetes showed considerable robustness between the relationship of Log LM/VFM and IR. Maintaining a proper ratio of lean body mass and visceral fat is beneficial for decreasing IR.

Prevotella copri alleviates sarcopenia via attenuating muscle mass loss and function decline.

The gut microbiome and fecal metabolites have been found to influence sarcopenia, but whether there are potential bacteria that can alleviate sarcopenia has been under-investigated, and the molecular mechanism remains unclear. To investigate the relationships between the gut microbiome, fecal metabolites and sarcopenia, subjects were selected from observational multi-ethnic study conducted in Western China. Sarcopenia was diagnosed according to the criteria of the Asian Working Group for Sarcopenia 2014. The gut microbiome was profiled by shotgun metagenomic sequencing. Untargeted metabolomic analysis was performed to analyse the differences in fecal metabolites. We investigated bacterium with the greatest relative abundance difference between healthy individuals and sarcopenia patients, and the differences in metabolites associated with the bacteria, to verify its effects on muscle mass and function in a mouse model. The study included 283 participants (68.90% females, mean age: 66.66years old) with and without sarcopenia (141 and 142 participants, respectively) and from the Han (98 participants), Zang (88 participants) and Qiang (97 participants) ethnic groups. This showed an overall reduction (15.03% vs. 20.77%, P=0.01) of Prevotella copri between the sarcopenia and non-sarcopenia subjects across the three ethnic groups. Functional characterization of the differential bacteria showed enrichment (odds ratio=15.97, P=0.0068) in branched chain amino acid (BCAA) metabolism in non-sarcopenia group. A total of 13 BCAA and their derivatives have relatively low levels in sarcopenia. In the in vivo experiment, we found that the blood BCAA level was higher in the mice gavaged with live P. copri (LPC) (P<0.001). The LPC mice had significantly longer wire and grid hanging time (P<0.02), longer time on rotor (P=0.0001) and larger grip strength (P<0.0001), indicating better muscle function. The weight of gastrocnemius mass and rectus femoris mass (P<0.05) was higher in LPC mice. The micro-computed tomography showed a larger leg area (P=0.0031), and a small animal analyser showed a higher lean mass ratio in LPC mice (P=0.0157), indicating higher muscle mass. The results indicated that there were lower levels of both P. copri and BCAA in sarcopenia individuals. In vivo experiments, gavage with LPC could attenuate muscle mass and function decline, indicating alleviating sarcopenia. This suggested that P. copri may play a therapeutic potential role in the management of sarcopenia.

Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults

BackgroundThe relationship between muscle and prognosis, especially that between muscle distribution across different body parts, and the related prognosis is not well established.ObjectiveTo investigate the relationship between muscle distribution and all-cause and cause-specific mortality and their potential modifiers.DesignLongitudinal cohort study. C-index, IDI, and NRI were used to determine the best indicator of prognosis. COX regression analysis was performed to explore the relationship between variables and outcomes. Interaction and subgroup analyses were applied to identify the potential modifiers.ParticipantsA total of 5052 participants (weighted: 124,841,420) extracted from the NHANES 2003–2006 of median age 45 years and constituting 50.3% men were assessed. For validation, we included 3040 patients from the INSCOC cohort in China.Main measuresMuscle mass and distribution.Key ResultsCOX regression analysis revealed that upper limbs (HR = 0.41, 95% CI 0.33–0.51), lower limbs (HR = 0.54, 95% CI 0.47–0.64), trunk (HR = 0.71, 95% CI, 0.59–0.85), gynoid (HR = 0.47, 95% CI 0.38–0.58), and total lean mass (HR = 0.55, 95% CI 0.45–0.66) were all associated with the better survival of participants (P trend < 0.001). The changes in the lean mass ratio of the upper and lower limbs and the lean mass ratio of the android and gynoid attenuated the protective effect of lean mass. Age and sex acted as potential modifiers, and the relationship between lean mass and the prognosis was more significant in men and middle-aged participants when compared to that in other age groups. Sensitive analyses depicted that despite lean mass having a long-term impact on prognosis (15 years), it has a more substantial effect on near-term survival (5 years).ConclusionMuscle mass and its distribution affect the prognosis with a more significant impact on the near-term than that on the long-term prognosis. Age and sex acted as vital modifiers.

The prevalence of diabetes and prediabetes: a population-based study.

Diabetes remains one of the top public health care priorities. Over 6% of the world's population is affected by type 2 diabetes; however, a similar number of individuals may be unaware of this diagnosis. Our population‑basedstudy aimed to investigate the true prevalence of diabetes and prediabetes in the general population of a medium‑sized city in Poland. The analysis included 1051 participants of the Bialystok PLUS population‑based cohort study. In those who did not report a history of diabetes, the oral glucose tolerance test (OGTT) was performed. Medical history data were gathered using standardized questionnaires, and anthropometric as well as body composition measurements were performed. According to the medical history data, a total of 75 participants had diabetes (7.14%). Prediabetes (impaired fasting glycemia [IFG] or impaired glucose tolerance [IGT]) was identified in 410 individuals, including 241 participants with IFG (22.9%) and 169 patients with IGT (16.1%). Moreover, there were 71 individuals (6.75%) who were newly diagnosed with diabetes based on OGTT results. Overall, 146 patients with diabetes (13.8%) were identified. The ratio of lean mass to fat mass differed significantly between the patients with newly diagnosed diabetes and those without impaired glucose metabolism. Our cohort study demonstrated a high prevalence of undiagnosed diabetes in the Białystok population. In addition, we showed that a large group of patients still remains undiagnosed for other hyperglycemic disorders. Abdominal obesity as well as imbalance between the fat and lean mass may predispose to diabetes.

Биоимпедансный анализ состава тела у пациентов с муковисцидозом

Nutritional status is associated to lung function and survival. Body mass index (BMI) is used to determine nutritional status, last studies of the body composition show that the most informative indicators correlated with lung function are data about body composition, the ratio of fat and fat-free body mass. In Russian Federation the body composition of children with cystic fibrosis is poorly studied. Objective. To assess the body composition before starting targeted therapy in children with cystic fibrosis Patients and methods. 103 children aged 5 to 17 years were examined. The median age of the children is 12 ± 5 years. Male – 47 (45.6%), female – 53 (53%). The children were divided into 3 groups: 1 group – BMI ≥50 percentile, 2 group – BMI &lt;50 &gt; 10 percentile, 3 group – BMI ≤10 percentile. In the studied groups were analysed: anthropometric indicators, nutritional status, bioelectrical impedance analysis (BIA), external respiration function. Cross-sectional study design. Conclusion. Patients with cystic fibrosis may have high risk of developing sarcopenia with normal level of BMI ( progressive and generalised skeletal muscle disorder involving the accelerated loss of muscle mass and function ). Measurement of body composition, including data of the lean body mass ratio, insufficiency of the protein in the diet and the entire energy metabolism, will improve the nutritional status of children, reduce the risk of respiratory and metabolic complications in patients with cystic fibrosis. Kewords: bioimpedance, body composition, children, cystic fibrosis, metabolism, fat-free body weight, body fat mass, body mass cell, phase angle

Distribution of lean mass and mortality risk in patients with type 2 diabetes

AimsThe aim of the study is to evaluate the association of distribution of lean mass with the risk of all-cause mortality among patients with type 2 diabetes. MethodsThe present cohort study included 2 335 patients with type 2 diabetes. Lean mass was assessed by dual energy X-ray absorptiometry. Cox proportional hazards regressions were used to estimate the association of lean mass distribution on the risk of mortality. ResultsThe average age of the patients was 58 years at baseline and 51.4% of patients were women. During a median follow-up of 4.31 years, 128 patients died. The multivariable-adjusted hazards ratios for all-cause mortality were 1.00, 1.63 (0.89–2.99), and 2.68(1.51–4.76) across the tertiles of android-to-gynoid lean mass ratio (P for trend < 0.001), respectively. The positive association of android-to-gynoid lean mass ratio with the risk of all-cause mortality was present among patients of different ages, body mass index ≥ 24 kg/m2, hemoglobin A1c ≥ 7.0%, nonsmokers, men, patients using insulin, and patients with diabetes durations of more than 10 years. ConclusionsHigher android-to-gynoid lean mass ratio, assessed by dual energy X-ray absorptiometry, was significantly associated with increased risk of all-cause mortality among patients with type 2 diabetes.

Bone mineral density, nutrient intake, and physical activity among young women from Uganda.

Data describing bone mineral density (BMD), nutrient intake, and body composition among healthy, young women in sub-Saharan Africa are limited. Using baseline data from a cohort of young, healthy Ugandan women, we summarize bone health and associated risk factors for reduced bone mass. Using baseline data from Ugandan women ages 16-25 years who enrolled in an ongoing cohort study of bone health with concurrent use of injectable contraception and oral HIV pre-exposure prophylaxis, we describe the distribution of BMD, nutrient intake, physical activity, and body composition. The association of low BMD (1 or more standard deviations below the age, sex, and race-matched reference range from the USA) and calcium intake, vitamin D intake, physical activity, and body composition was estimated using multivariable logistic regression. In 496 healthy, Ugandan women with median age of 20 years (interquartile range [IQR] 19-21) and median fat:lean mass ratio of 0.55 (IQR 0.46-0.64), median lumbar spine and total hip BMD was 0.9g/cm2 (IQR 0.9-1.0) each. For lumbar spine, Z-score distributions were lower overall than the reference population and 9.3% and 36.3% of women had Z-score >2 and >1 standard deviations below the reference range, respectively. For total hip, Z-scores were similar to the reference population and 1.0% and 12.3% of women had Z-score >2 and >1 standard deviations below the reference range, respectively. In the week prior to enrollment, 41.1% of women consumed >7 servings of calcium, 56.5% had >7 servings of vitamin D, and 98.6% reported ≥2.5 h of physical activity. Having greater body fat was associated with greater frequency of low lumbar spine BMD (p<0.01 for fat:lean mass ratio, total body fat percentage, waist circumference, and BMI). Young Ugandan women exhibited healthy levels of BMD that were lower than the reference range population.

Fat to lean mass ratio in spinal cord injury: Possible interplay of components of body composition that may instigate systemic inflammation and metabolic syndrome

Objective To investigate the relationships between percentage fat mass (%FM), percentage lean mass (%LM), and the ratio of %FM to %LM with pro-inflammatory adipokines and metabolic syndrome in individuals with chronic spinal cord injury (SCI). Design Observational, cross-sectional. Linear and logistic regression were used to examine the associations between the %FM, %LM, and the %FM to %LM ratio with inflammatory markers and metabolic syndrome, respectively. Participants Seventy chronic SCI men and women. Main Outcome Measures %FM, %LM, %FM to %LM ratio; fasting lipids, glucose, and tumor necrosis factor alpha (TNF-α), interleukin-6 (IL-6), and high-sensitivity c-reactive protein (hs-CRP); metabolic syndrome as determined by The International Diabetes Federation criteria. Results There were significant correlations between %FM, %LM and the %FM to %LM ratio with hs-CRP. The %LM beta coefficient value was negative and greater than the beta coefficient value for %FM. The %FM to %LM ratio had the strongest correlation with hs-CRP and showed the only significant relationship with IL-6. There were strong significant correlations between %FM, %LM and the %FM to %LM ratio with metabolic syndrome. However, the %FM to %LM ratio, again, showed the strongest relationship indicating that it may be the best predictor of metabolic syndrome. Conclusion Both higher %FM and lower %LM affect cardiometabolic health and can be used as predictors for metabolic syndrome. However, the %FM to %LM ratio was the best predictor of systemic inflammation and cardiometabolic disorders in this group of SCI participants, suggesting that they both contribute to the statistical model.

Effect of various concentration of butyric acid on growth performance, intestinal lesion scores, and body composition of broilers raised on used litter

There is still a need for the evaluation of alternative feed additives, including organic acids such as butyric acid, when fed in broiler diets without antibiotic growth promoters. The removal or limitation of growth promoting antibiotics from commercial production changes the opportunities for feed additives in the poultry industry and allows for the evaluation of replacement feed additives that may not have been cost effective when growth promoting antibiotics are available. Therefore, an experiment was conducted to evaluate the effects of various concentrations (200 ppm, 400 ppm and 800 ppm) of coated butyric acid on growth performance, intestinal lesion score and body composition of 42-day old broilers raised on used litter. The addition of the coated butyric acid at 400 ppm and 800 ppm increased BW and 800 ppm improved mortality corrected feed conversion ratio (FCRm) over the 42-day period compared with the negative control (NC) fed broilers. Although performance was improved, the ratio of lean mass to fatty mass in the broilers was unchanged suggesting a generalize growth response. No significant differences were observed in lesion scores in the duodenum and jejunum and overall lesion scores were low. Both 400 and 800 ppm of butyric acid were able to increase 42-day broiler body weight in comparison to the NC fed birds, but 800 ppm of butyric acid was required to also improve the FCRm in comparison to the NC fed birds.

Influence of Peroxisome Proliferator-Activated Receptor (PPAR)-gamma Coactivator (PGC)-1 alpha gene rs8192678 polymorphism by gender on different health-related parameters in healthy young adults.

This study aimed to analyze the influence of the peroxisome proliferator-activated receptor (PPAR)-gamma coactivator (PGC)-1 alpha (PPARGC1A) gene rs8192678 C>T polymorphism on different health-related parameters in male and female young adults. The PPARGC1A gene rs8192678 polymorphism was ascertained by polymerase chain reaction in 74 healthy adults (28 women; 22.72 ± 4.40 years) from Andalusia (Spain). Health-related variables included cardiometabolic risk, anthropometry and body composition, biochemical parameters, insulin sensitivity (QUICKI and HOMA-IR indexes), blood pressure (BP) at rest and after exercise, diet, basal metabolism, physical activity, maximal fat oxidation, and cardiorespiratory fitness. Our results showed differences by PPARGC1A gene rs8192678 C>T polymorphism in body mass (p = 0.002), body mass index (p = 0.024), lean body mass (p = 0.024), body fat (p = 0.032), waist circumference (p = 0.020), and BP recovery ratio (p < 0.001). The recessive model (CC vs. CT/TT) showed similar results but also with differences in basal metabolism (p = 0.045) and total energy expenditure (p = 0.024). A genotype*sex interaction was found in the QUICKI index (p = 0.016), with differences between CC and CT/TT in men (p = 0.049) and between men and women inside the CT/TT group (p = 0.049). Thus, the PPARGC1A gene rs8192678 C>T polymorphism is associated with body composition, basal metabolism, total energy expenditure, and BP recovery, where the CC genotype confers a protective effect. Moreover, our study highlighted sexual dimorphism in the influence of PPARGC1A gene rs8192678 C>T polymorphism on the QUICKI index.