Body Composition Markers Research Articles

Malnutrition and Fall Risk in Older Adults: A Comprehensive Assessment Across Different Living Situations.

Malnutrition among older adults is associated with numerous adverse effects, including increased morbidity, mortality, prolonged hospital stays, and a heightened risk of falls. This study aims to investigate the prevalence of malnutrition in different groups of older adults using the F-MNA, anthropometry, and s-albumin and the association between nutritional status and fall risk. A total of 228 participants aged 60 years and older were divided into three groups: (1) patients in an internal medicine ward, (2) individuals living in family homes, and (3) residents of care homes. Disease profiles, nutritional status (assessed using the F-MNA and SNAQ), body composition, fall risk, and biochemical markers were evaluated. The results indicated the highest prevalence of malnutrition among hospitalized individuals. Fall risk was associated with age, calf circumference, the F-MNA, the SNAQ, serum albumin levels, residence in a care home, comorbidities, and the number of medications taken daily. Regression analysis revealed that age, calf circumference, and residence in a care home were independent predictors of fall risk in older adults. Older adults are at significant risk of malnutrition, with the risk notably increasing during hospitalization and long-term stays in care homes. Hospitalized individuals had the poorest nutritional status and were at significant risk of further weight loss, underscoring the importance of post-discharge care and rehabilitation.

Use of anthropometric parameters, body composition and conicity index as predictors of cardiovascular risk in overweight and obese women

Introduction: Obesity is a growing global public health problem. Currently, more than 2 billion people in the world are overweight, and around 670 million of them have been diagnosed with obesity. Objective: To relate anthropometric parameters, body composition markers and the conicity index as predictors of cardiovascular risk in overweight or obese adult women. Methods: This was a cross-sectional study of 62 women. Body weight, height, waist and hip circumference were assessed. Based on these data, body mass index, waist-to-hip ratio, waist-to-height ratio and conicity index were obtained. Total and visceral fat percentages were also determined. Results: The patients were characterized by a mean age of 39.7 years (SD± 11.58), a mean BMI of 33.72 kg/m2 (SD± 4.74), WC of 100.27 cm (SD± 11.86); WC of 116.09 cm (SD± 9.53); WHR of 0.86 cm (SD± 0.07); WHtR of 0.64 cm (SD±0.07); %BF of 48% (SD± 639.11); %GV of 9% (SD± 2), and IC of 1.27 (SD± 0.09). There was a statistically significant difference between WHR and the parameters of %BF (P-value: 0.022), %GV (P-value: 0.001), and IC (P-value: 0.000). There was also a significant association between WHtR and GV percentages (P-value: 0.000) and IC (P-value: 0.001). With regard to IC, the analysis showed a significant difference for %GV (P-value: 0.002) and WC (P-value: 0.000). Conclusion: The use of anthropometric indicators such as waist-to-height ratio, waist-to-hip ratio and conicity index is an easy-to-apply and low-cost tools that can be used to assess and diagnose cardiovascular risk in overweight women.

Narrative Review of Lifestyle Interventions in Breast Cancer Survivors: Current Evidence and Future Directions.

One in eight females will be diagnosed with breast cancer in their lifetime. While medical advances have increased the likelihood of survival, up to 90% of females will gain weight during and after treatment increasing the risk of breast cancer recurrence and obesity related co-morbidities in survivorship. Behavioral lifestyle interventions focused on diet with or without physical activity can provide breast cancer survivors non-pharmacological options to decrease weight gain and cardiometabolic risk. A PubMed search was conducted to identify all behavioral lifestyle interventions focused on diet or diet combined with physical activity longer than 4 weeks of duration in breast cancer survivors that included body weight as an outcome. This review aims to summarize the effects on body weight, body composition and cardiometabolic risk markers are summarized. Based on the review, there is high heterogeneity in type and duration of the intervention to affect weight and cardiometabolic risk in survivorship. Calorie restriction with and without physical activity appears to promote weight loss among breast cancer survivors. However, the effects on cardiometabolic factors are less clear. Future studies should be powered for both body weight and cardiometabolic effects. Researchers should also consider interventions that are: 1) less complex, 2) recruit a more racially and ethnically diverse sample, 3) integrate resistance training, 4) implement the intervention in closer proximity to diagnosis, 5) target weight management in this population before it occurs and 6) analyze body composition in addition to body weight measurements.

Comparison of Metabolic Syndrome, Autoimmune and Viral Distinctive Inflammatory Related Conditions as Affected by Body Mass Index.

Background: Metabolic inflammation (MI), long COVID (LC) and systemic lupus erythematosus (SLE) share some metabolic common manifestations and inflammatory pathophysiological similarities. Health-related quality of life (HRQoL) and metabolic age are indicators of health status. The "METAINFLAMMATION-CM Y2020/BIO-6600" project, a prospective controlled study, aimed to identify differential diagnostic tools and clinical features among three inflammatory conditions by comparing obesity status (low BMI vs. high BMI). Methods: A total of 272 adults of both Caucasian and Hispanic descent, diagnosed with MI, LC or SLE, and a range of BMI, were recruited. Clinical and phenotypic traits were measured to analyze body composition, metabolic and inflammatory markers, HRQoL data, metabolic age and lifestyle habits using a 3 × 2 (disease × BMI) factorial design. Results: Some inflammatory related variables, such as fibrinogen, RDW (red cell blood distribution width), ESR (erythrocyte sedimentation rate) and NLR (neutrophil/lymphocyte ratio), showed effect modifications depending on the BMI and disease type. In relation to HRQoL, the Physical Component Summary (PCS12) showed no relevant changes, while the Mental Component Summary (MCS12) showed a significant effect modification according to the disease type and BMI (p < 0.05). Furthermore, a significant interaction was identified between the disease type and BMI in relation to metabolic age (p = 0.02). Conclusions: Assessing the impact of BMI on these three inflammatory diseases may help to prevent clinical complications and to design personalized treatments, especially for patients with SLE, who have a worse prognosis with an increased BMI compared to the other two inflammatory diseases.

Online and Face-to-Face Mat Pilates Training for Long COVID-19 Patients: A Randomized Controlled Trial on Health Outcomes

This study investigated the impacts of online and face-to-face Mat Pilates training in adults with persistent symptoms of long COVID on health outcomes. Forty-nine patients (52 ± 5.85 yr.) diagnosed with long COVID related to fatigue symptoms were randomly included in three groups: online Mat Pilates training (n = 16), face-to-face Mat Pilates training (n = 15), and a control group (n = 18) without training. Mat Pilates training was conducted three times a week for 12 weeks. Fatigue, functional capacity, anthropometrics, body composition, and cardiometabolic markers were assessed before and after the interventions. Two-factor Generalized Estimating Equation analyses identified significant differences with Bonferroni post hoc testing (p &lt; 0.05). After the intervention, only the face-to-face Mat Pilates training group had an improved total, physical and mental fatigue, trunk isometric strength, upper limb muscle endurance strength, and aerobic capacity (p &lt; 0.05). No changes were found in fat mass, muscle mass, free fat mass, % of fat, body mass, body mass index, or waist and hip circumferences. No significant changes were observed in blood glucose, glycated hemoglobin, triglycerides, total cholesterol, high-density lipoprotein, low-density lipoprotein, or blood pressure (p &gt; 0.05). Our results highlight the potential of face-to-face Mat Pilates training as an effective intervention to mitigate persistent symptoms of long COVID related to fatigue and functional capacities.

Associations of Plasma Erythritol with Dietary Factors, Cardiometabolic, Inflammatory, and Gut Health Markers in People with and without HIV: A Cross-Sectional Study.

Recently, elevated levels of plasma erythritol have been associated with major adverse cardiovascular events (MACE). It is known that people with HIV (PWH) have a higher cardiovascular disease burden. Whether PWH have higher levels of plasma erythritol has not been evaluated. This study aimed to assess if blood erythritol levels are elevated in PWH and to examine relationships between erythritol and dietary, cardiometabolic, inflammatory, and gut health markers. Plasma erythritol levels were measured using frozen samples from 162 participants, including 109 PWH and 53 people without HIV (PWoH) in a parent study. General linear models were used to assess the linear relationship between characteristics, cardiovascular measures, markers of body composition, inflammation, and gut integrity with plasma erythritol. Logistic regression was used to assess risk factors associated with PWH, and cumulative logit models were used to investigate which factors were associated with having the highest plasma erythritol levels among PWH. Compared to PWoH, PWH had higher plasma erythritol levels (p = 0.03). Every 10% increase in VLDL (p = 0.01), visceral adipose tissue (p < 0.0001), or TNFrI (p = 0.01) was associated with an approximately 1% increase in plasma erythritol. Among PWH, HgbA1c (p = 0.003), TNFrI (p = 0.002), and IFAB-P (p = 0.004) were associated with having the highest tertile of plasma erythritol (≥3.6 μM). Compared to PWoH, PWH were more than two times as likely (p = 0.03) to have plasma erythritol ≥ 3.6 μM. We identified positive associations between plasma erythritol levels and several factors, including HIV status, BMI, adipose tissue, TNFr1, HbA1c, and VLDL. These results underscore the importance of further investigating the role of elevated plasma erythritol levels in people with HIV, particularly in light of their increased vulnerability to cardiovascular and metabolic diseases.

Impact of the Mediterranean Diet on Athletic Performance, Muscle Strength, Body Composition, and Antioxidant Markers in Both Athletes and Non-Professional Athletes: A Systematic Review of Intervention Trials.

Background: The Mediterranean Diet (MD) has gained attention for its potential benefits in enhancing athletic performance and overall health. This systematic review aims to evaluate the effects of the MD on athletic performance, strength, body composition, and metabolic markers in both athletes and non-professional athletes. Methods: The review included seven studies with a total of 116 participants, ranging from professional handball players to non-professional strength athletes. The studies assessed various aspects of athletic performance, including strength, power, endurance, and body composition. Results: The main key findings from the review showed that MD may improve muscle endurance and power, as well as anaerobic performance in CrossFit athletes, and MD was associated with enhanced strength performance, including increased vertical jump height, hand grip strength, and shuttle run performance. The results on the impact on body composition were mixed, with some studies showing improvements in fat-free mass and skeletal muscle mass, while others found no significant changes. The MD also demonstrated positive effects on several markers, such as increased plasma total antioxidant activity and decreased markers of oxidative stress and inflammation. Conclusions: In conclusion, while the MD seems to represent a viable dietary strategy for enhancing athletic performance and overall health, more rigorous studies are necessary to clarify its impact across diverse athletic populations.

Evaluating changes in body composition, bone mass, and metabolic profile in an animal model undergoing transfeminine hormone therapy and physical exercise

Background & AimsGender-affirming hormone therapy (GAHT) is essential for transgender individuals seeking body modifications. For transfeminine people assigned male at birth, GAHT typically involves a combination of antiandrogens and estrogens. Despite its importance, the scientific literature presents inconsistencies regarding the effects of these hormones on nutritional status, body composition, and biochemical markers. This study aims to evaluate the impact of estradiol enanthate and dihydroxyprogesterone acetophenide (E2EN/DHPA) hormonal treatment, in conjunction with resistive physical exercise, on body composition and metabolic profiles. MethodsTwenty-eight male rats were divided into three groups: MO (control group, n=8), receiving sesame oil vehicle; MH (n=11), receiving E2EN/DHPA; and MEH (n=9), receiving E2EN/DHPA along with physical exercise. The hormonal treatment was administered every ten days for two months, while the exercise regimen involved stair climbing with progressively increasing weights, performed five times weekly for seven weeks. Evaluated parameters included body mass index (BMI), body composition (fat and lean mass), bone mineral density (BMD), and lipid profile (triglycerides, HDL-C, LDL-C). ResultsThe rats that received E2EN/DHPA showed significant changes in body composition and BMI, regardless of exercise. The MH group had increased body fat, while both the MH and MEH groups had decreased bone area and mineral content. However, BMD remained the same across all groups. Elevated triglyceride levels were observed, and the MEH group also had reduced LDL-C levels. HDL-C levels did not show significant variation. ConclusionThe study's findings show similarities to changes seen in transfeminine individuals undergoing GAHT with estrogen and antiandrogens. These changes include decreased muscle mass, increased body fat, preserved bone mineral density, and elevated triglycerides. The study also found that resistance exercise positively impacted lipid profiles, particularly in reducing LDL-C. These results highlight the need for further research and comparative trials on hormone therapy regimens.

A cross-sectional observational study investigating the association between body composition, body circumferences, visceral fat, and inflammatory markers in hospitalized chronic obstructive pulmonary disease patients of Kolkata

A cross-sectional observational study investigating the association between body composition, body circumferences, visceral fat, and inflammatory markers in hospitalized chronic obstructive pulmonary disease patients of Kolkata

The Effect of Resistance Training on Markers of Cachexia in Patients with Heart Failure: A Systematic Review and Meta‐Analysis

ABSTRACTBackgroundCachexia is a metabolic syndrome characterised by muscle wasting that is highly prevalent in subjects with heart failure (HF) and negatively affects physical function, quality of life, morbidity and mortality. Resistance training has been recently incorporated into cardiac rehabilitation exercise programmes to increase muscle strength in patients with HF. This systematic review and meta‐analysis aim to assess the effects of resistance training on markers of cachexia in patients with HF.MethodsFour electronic databases (MEDLINE, Embase, CENTRAL and CINAHL) were searched to identify randomised controlled trials (RCTs) evaluating the effects of resistance training‐only programmes on published criteria for cachexia assessment including muscle strength, body composition (e.g. lean mass/muscle mass) or biochemical markers of cachexia (e.g. inflammatory markers) in patients with HF. Studies were selected based on pre‐specified inclusion and exclusion criteria, with a risk of bias assessment carried out. Meta‐analyses of muscle strength outcomes were completed using RevMan 5.4.1.ResultsNine studies were included in this review. Pooled analysis of one repetition‐maximum strength test of the lower [SMD 0.67 (95% Cl – 0.12, 1.22) p‐value = 0.02] and upper extremities [SMD 1.20 (95% Cl – 0.62, 1.79) p‐value &lt;0.0001] showed a significant increase in muscle strength associated with resistance training, which are both important indicators of physical function. Resistance training did not increase muscle strength during rapid movements measured via peak torque at 60, 90 or 180°/s. There were no significant results recorded for changes in body composition and biochemical markers of cachexia. There were inconsistent findings for the effect of resistance training on quality of life. No studies reported findings on measures of anorexia or fatigue.ConclusionsThe findings of this review reveal the potential benefits of resistance training in preserving and enhancing muscle strength in patients with HF who are at risk of cardiac cachexia. Despite inconclusive results on body composition and quality of life, the inclusion of resistance training in cardiac rehabilitation guidelines has the potential to address issues of muscle weakness and frailty. Specific resistance training protocol recommendations to prevent or treat the development of cachexia cannot be made without the publication of more robust RCTs, specifically examining cachectic patients with heart failure with careful assessment of clinical outcomes of markers of cachexia.

Epicardial adipose tissue and muscle distribution affect outcomes in very old patients after transcatheter aortic valve replacement.

To analyse the relevance of body composition and blood markers for long-term outcomes in very old patients after transcatheter aortic valve replacement (TAVR). A total of 403 very old patients were characterized with regard to subcutaneous, visceral, and epicardial fat, psoas muscle area, plasma growth differentiation factor 15 (GDF-15), and leptin. Cohorts grouped by body mass index (BMI) were analysed for long-term outcomes. Patients underwent transapical and transfemoral TAVR (similar 30-day/1-year survival). Body mass index >35 kg/m2 showed increased 2- and 3-year mortality compared with BMI 25-34.9 kg/m2 but not compared with BMI <25 kg/m2. Fat areas correlated positively to BMI (epicardial: R 2 = 0.05, P < 0.01; visceral: R 2 = 0.20, P < 0.001; subcutaneous: R 2 = 0.13, P < 0.001). Increased epicardial or visceral but not subcutaneous fat area resulted in higher long-term mortality. Patients with high BMI (1781.3 mm2 ± 75.8, P < 0.05) and lean patients (1729.4 ± 52.8, P < 0.01) showed lower psoas muscle area compared with those with mildly elevated BMI (2055.2 ± 91.7). Reduced psoas muscle area and increased visceral fat and epicardial fat areas were independent predictors of long-term mortality. The levels of serum GDF-15 were the highest in BMI >40 kg/m2 (2793.5 pg/mL ± 123.2) vs. BMI <25 kg/m2 (2017.6 pg/mL ±130.8), BMI 25-30 kg/m2 (1881.8 pg/mL ±127.4), or BMI 30-35 kg/m2 (2054.2 pg/mL ±124.1, all P < 0.05). Increased GDF-15 level predicted mortality (2587 pg/mL, area under the receiver operating characteristic curve 0.94). Serum leptin level increased with BMI without predictive value for long-term mortality. Morbidly visceral and epicardial fat accumulation, reduction in muscle area, and GDF-15 increase are strong predictors of adverse outcomes in very old patients post-TAVR.

Identification of phase angle and Triglyceride-Glucose index as biomarkers for prediction and management of diabetic foot disease

IntroductionApproximately 25 % of diabetic patients develop diabetic foot ulcers (DFUs), significantly increasing morbidity, mortality, and healthcare costs. Effective control and prevention are crucial. ObjectiveThis study aims to identify easily measurable parameters for predicting DFU risk by assessing the correlation between Phase Angle (PA) and the Triglyceride-Glucose (TyG) index with DFU risk. Materials and methodsA comparative case-control study was conducted at the General Hospital of Elche from March to June 2023 with 70 participants (33 with diabetes, 37 without). Cases had diabetes for over five years and a diabetic foot risk grade of 0, 1, or 2 (IWGDF 2019). Exclusion criteria included inability to walk, prior use of orthoses, and severe complications like edema or wounds. Predictive variables were PA, TyG index, body composition, and biochemical markers. Statistical analyses included Pearson/Spearman tests for correlations, Student's t-test/Mann-Whitney test for group comparisons, and ANOVA/Kruskal-Wallis tests for normally and non-normally distributed variables. ResultsPAand TyG index were strongly linked to diabetic foot risk, supporting their potential as biomarkers. Significant relationships with other relevant biomarkers were also confirmed. ConclusionPA and TyG index are valuable, easily measurable biomarkers for assessing diabetic foot risk, and can be monitored in primary care settings. Implementing these biomarkers in routine practice could enhance the management of diabetic complications, particularly in resource-limited settings, by enabling early detection and intervention, thus improving patient outcomes and reducing the burden of advanced complications.

Circulating miR-122-5p, miR-151a-3p, miR-126-5p and miR-21-5p as potential predictive biomarkers for Metabolic Dysfunction-Associated Steatotic Liver Disease assessment.

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is a worldwide leading cause of liver-related associated morbidities and mortality. Currently, there is a lack of reliable non-invasive biomarkers for an accurate of MASLD. Hence, this study aimed to evidence the functional role of miRNAs as potential biomarkers for MASLD assessment. Data from 55 participants with steatosis (MASLD group) and 45 without steatosis (control group) from the Fatty Liver in Obesity (FLiO) Study (NCT03183193) were analyzed. Anthropometrics and body composition, biochemical and inflammatory markers, lifestyle factors and liver status were evaluated. Circulating miRNA levels were measured by RT-PCR. Circulating levels of miR-122-5p, miR-151a-3p, miR-126-5p and miR-21-5p were significantly increased in the MASLD group. These miRNAs were significantly associated with steatosis, liver stiffness and hepatic fat content. Logistic regression analyses revealed that miR-151a-3p or miR-21-5p in combination with leptin showed a significant diagnostic accuracy for liver stiffness obtaining an area under the curve (AUC) of 0.76 as well as miR-151a-3p in combination with glucose for hepatic fat content an AUC of 0.81. The best predictor value for steatosis was obtained by combining miR-126-5p with leptin, presenting an AUC of 0.95. Circulating miRNAs could be used as a non-invasive biomarkers for evaluating steatosis, liver stiffness and hepatic fat content, which are crucial in determining MASLD. CLINICAL TRIAL REGISTRATION: • Trial registration number: NCT03183193 ( www.clinicaltrials.gov ). • Date of registration: 12/06/2017.

Associations of BMI growth rates and body composition with cardiometabolic risks in Chinese preschool children.

To examine the relationship between body mass index (BMI) growth rates, body composition, and cardiometabolic markers in preschool children. Three-year-old children were recruited for this cohort study. BMI and body composition measurements were obtained at enrollment, with multiple BMI measurements spanning ages 1 month to 3 years extracted from medical records. Levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), non-HDL-cholesterol (non-HDL-C), remnant cholesterol (RC), uric acid (UA), and fasting plasma glucose (FPG) were measured at 3 years. Data analyses employed piecewise linear mixed models and logistic regression models. Out of 3822 children recruited, 3015 were included in the analysis. The accelerated zBMI growth rate between 6 and 24 months was positively correlated with high TG and LDL-C levels, with sex, birthweight, and size-for-gestational age disparities. Obesity increased the risks of high TG level and the highest RC quartile in boys. Fat mass index (FMI) and percentage of fat mass (FM%) were linked with high UA level and dyslipidemia, particularly high TG and non-HDL-C levels, in boys. Fat-free mass index (FFMI) showed negative associations with high levels of TC and non-HDL-C in boys and high LDL-C level in girls (P<0.05). This study underscores the significant impact of BMI growth rates and body composition on cardiometabolic markers in 3-year-old children. The effects of BMI growth rates in specific periods varied by sex, birthweight, and size-for-gestational age, and boys exhibiting a higher susceptibility to adverse outcomes.

Effect of acute meal and long-term intake of a Mediterranean Diet providing different amounts of carbohydrates on physical performance and biomarkers in non-professional strength athletes

The study aims to evaluate the effect of an acute meal and long-term intake of Mediterranean Diet (MD) on different parameters such as strength, physical performance, body composition and blood markers in a group of non-professional athletes who practice a strength activity. Thirteen volunteers completed two 8-week dietary interventions in a randomised, cross-over design. Also an acute study was performed. Subjects received a MD High in carbohydrates, characterised by at least five portions of pasta/week and an average 55–60% of daily energy derived from carbohydrates, versus an MD reduced in carbohydrates, with less than two portions of pasta/week and an average of 40–45% of daily energy provided by carbohydrates. Mainly, data did not show significant differences for the parameters analysed, except for Elbow Flexor maximum voluntary contraction (p = .039). Results enlighten that increasing total carbohydrates intake, as typically in the MD, does not negatively affect physical performance, body composition and strength.

COVID-19 as a Factor Influencing Maximal Heart Rates among Male University Students

Background: The present study aimed to explore the relationship between COVID-19 and HRmax during maximal exertion; Methods: The study was conducted on 66 male students aged 17.4 to 24.0 years, 50% of whom suffered from COVID-19. Their body composition was assessed via bioelectrical impedance analysis; their physical activity (PA)—using the International Physical Activity Questionnaire; and their HRmax—using the 12-Minute Cooper Test on a Rowing Ergometer (12-MCTRE); Results: Both the healthy students (G1) and non-hospitalized COVID-19 sufferers (G2) were significantly (p &lt; 0.001) more engaged in PA than the hospitalized COVID-19 sufferers. They had significantly lower body mass, BMI, waist-to-hip ratio, and visceral fat level, with the G1 ones also having lower scores of body fat mass, fat-free mass, and skeletal muscle mass (p values: &lt;0.001–0.017). The highest HRmax = 192 bpm was recorded for G1 students, being significantly higher than the values measured for G2 (by 7 bpm), and G3 (by 16 bpm); Conclusions: Men suffering from COVID-19 and hospitalized exhibited significantly lower levels of PA and motor fitness, and had poorer body composition markers (primarily adiposity to the point of severe overweight). This likely explains their diminished HRmax compared with healthy men.

Association between inflammatory markers, body composition and frailty in home-dwelling elderly: an 8-year follow-up study

Frailty has been linked to inflammation and changes in body composition, but the findings are inconsistent. To explore this, we used the Frailty Index (FI) definition to (1) investigate the association between levels of inflammatory markers (baseline) and change in FI score after 8 years of follow-up and (2) investigate the longitudinal associations between inflammatory markers, body composition, and frailty. Home-dwelling elderly (≥ 70 years) were invited to participate in the study and re-invited to a follow-up visit 8 years later. This study includes a total of 133 participants. The inflammatory markers included were high-sensitive C-reactive protein (hs-CRP), interleukin 6 (IL-6), tumor necrosis factor alpha (TNF-α), and glycoprotein acetyls (Gp-acetyls). We used the body composition markers fat mass, fat-free mass, and waist circumference. The FI score consisted of 38 variables. Additional clinical assessments such as blood pressure and body mass index (BMI), as well as information about daily medications, were collected at both visits. Linear regression model and Spearman’s rank correlation were used to investigate associations. We showed that the FI score increased after 8 years, and participants with higher hs-CRP levels at baseline had the largest change in the FI score. Changes in fat mass were significantly correlated with changes in hs-CRP and IL-6, and changes in waist circumference were significantly correlated with changes in TNF-α. The use of drugs increased during the 8 years of follow-up, which may have attenuated the associations between inflammation and frailty. However, elevated concentrations of hs-CRP in the elderly may be associated with an increased risk of frailty in subsequent years.

Changes in Metabolic and Inflammatory Markers after a Combined Exercise Program in Workers: A Randomized Controlled Trial.

We investigated the effects of a 16-week combined exercise training on body composition, metabolic and inflammatory markers in sedentary middle-aged workers. We also assessed whether significant alterations in metabolic markers were associated with changes in health-related outcomes. This randomized controlled trial involved 46 participants randomly allocated into control and exercise groups. The exercise group performed 16-week combined aerobic and resistance training for 75 min/session, 3 times/week. Fasting blood samples were collected at baseline and after 16-week intervention to determine lipid profile, metabolic and inflammatory markers as primary outcomes. A total of 36 participants completed the intervention (53.70 ± 6.92 years old) (n = 18 in each group). Waist circumference (interaction effect: F = 7.423, p = 0.002), fat mass (interaction effect: F = 5.070, p = 0.011), and muscle mass (interaction effect: F = 5.420, p = 0.007) were improved in the exercise group compared to the control group. Fasting glucose increased after the 16-week follow-up (time effect: F = 73.253, p < 0.001), without an intergroup difference. Insulin levels were greater in the control compared to exercise group (group effect: F = 6.509, p = 0.015). The control group tended to increase the HOMA-IR index (interaction effect: F = 3.493, p = 0.070) and to decrease the QUICKI index (interaction effect: F = 3.364, p = 0.075) to a greater extent compared to the exercise group. Exercise group reduced leptin (interaction effect: F = 11.175, p = 0.002) and adiponectin (interaction effect: F = 4.437, p = 0.043) concentrations in a greater magnitude than control group. IL-6 (time effect: F = 17.767, p < 0.001) and TNF-α (time effect: F = 9.781, p = 0.004) concentrations decreased after the intervention, without an intergroup difference. IL-17A levels increased in the control compared to exercise group (interaction effect: F = 5.010, p = 0.033). Effects on adiponectin, IL-6 and IL-17A levels seem to depend on baseline BMI, age, and sex. Percentage changes in leptin correlated positively with changes in HOMA-IR index in the exercise (r = 0.565, p = 0.015) and control (r = 0.670, p = 0.002) groups. A combined training program can be an effective strategy to improve body composition and inflammatory markers and prevent marked reductions in insulin sensitivity among middle-aged workers.

Serum tumor marker and CT body composition scoring system predicts outcomes in colorectal cancer surgical patients.

To investigate the prognostic value of preoperative body composition and serum tumor markers (STM) in patients undergoing surgical treatment for colorectal cancer (CRC) and to establish the prognostic score for patients with CRC. This study enrolled 365 patients (training set 245, validation set 120) with CRC who underwent surgical resection. The predictive value of various body composition features and STM for determining CRC prognosis were compared. A novel index score based on the independent risk factors from Cox regression for CRC patients was established and evaluated for its usefulness. Multivariate Cox regression showed that low skeletal muscle radiodensity (SMD) (p = 0.020), low subcutaneous fat area (SFA) (p = 0.029), high carcinoembryonic antigen (CEA) (p = 0.008), and high alpha-fetoprotein (AFP) (p = 0.039) were all independent prognostic factors for poor overall survival (OS). The multifactorial analysis indicated that high intermuscular fat area (IMFA) (p = 0.033) and high CEA (p = 0.009) were independent prognostic factors for poor disease-free survival (DFS). Based on these findings, two scoring systems for OS and DFS were established in the training datasets. CRC patients who scored higher on the new scoring systems had lower OS and DFS (both p < 0.001) as shown in the Kaplan-Meier survival curves in the training and validation datasets. In predicting the prognosis of CRC patients, SFA and SMD are superior to other body composition measurements. A scoring system based on body composition and STM can have prognostic value and clinical applicability. This scoring system, combining body composition and serum tumor markers, may help predict postoperative survival of CRC patients and help clinicians make well-informed decisions regarding the treatment of patients. Colorectal cancer prognosis can be related to body composition. High intermuscular fat area and CEA were independent prognostic factors for poor disease-free survival. This scoring system, based on body composition and tumor markers, can prognosticate for colorectal cancer patients.

The association of circulating bioenergetic metabolites with healthy human aging

Aging is an inevitable and gradual decline in several biological functions. Mitochondrial dysfunction is one of the most important hallmarks of aging. In this context, alterations in metabolites associated with mitochondrial dysfunction may serve as a significant biomarker. This study aimed to investigate the existence of a relationship between the key metabolites involved in bioenergetics metabolism and aging. 53 volunteers ranged 20–85 years participated in the study. We tested the association between different tricarboxylic acid (TCA) cycle metabolites, fatty acid metabolism, and amino acid metabolism with age, sex, body composition, and proxy markers of aging such as walking speed, grip strength and chair test. We found that lactic acid negatively correlated with age while several fatty acid metabolites, such as azelaic, sebacic, and linoleic acids, showed positive correlations with age (p < 0.05). Sex-specific trends, such as glycerol, and dodecanoic acid, were also observed for certain metabolites. Furthermore, citric acid levels were found to have a significant association with physical function and body composition measures. Participants with higher citric acid levels displayed improved performance in physical tests and favorable body composition indices. Additionally, fumaric acid and adipic acid showed positive correlations with fat-free body mass, while sebacic acid was negatively associated with measures of fat mass. These findings underscore the importance of understanding the role of circulating bioenergetics metabolites with age, sex variations, and their potential implications in body composition and physical performance.