Highly pathogenic PRRSV upregulates IL-13 production through nonstructural protein 9-mediated inhibition of N6-methyladenosine demethylase FTO.

Porcine reproductive and respiratory syndrome virus (PRRSV), a highly infectious virus, causes severe losses in the swine industry by regulating the inflammatory response, inducing tissue damage, suppressing the innate immune response, and promoting persistent infection in hosts. Interleukin-13 (IL-13) is a cytokine that plays a critical role in regulating immune responses and inflammation, particularly in immune-related disorders, certain types of cancer, and numerous bacterial and viral infections; however, the underlying mechanisms of IL-13 regulation during PRRSV infection are not well understood. In this study, we demonstrated that PRRSV infection elevates IL-13 levels in porcine alveolar macrophages. PRRSV enhances m6A-methylated RNA levels while reducing the expression of fat mass and obesity associated protein (FTO, an m6A demethylase), thereby augmenting IL-13 production. PRRSV nonstructural protein 9 (nsp9) was a key factor for this modulation. Furthermore, we found that the residues Asp567, Tyr586, Leu593, and Asp595 were essential for nsp9 to induce IL-13 production via attenuation of FTO expression. These insights delineate PRRSV nsp9's role in FTO-mediated IL-13 release, advancing our understanding of PRRSV's impact on host immune and inflammatory responses.

The impact of anorexia nervosa and BMI polygenic risk on childhood growth: A 20-year longitudinal population-based study.

Growth deviating from the norm during childhood has been associated with anorexia nervosa (AN) and obesity later in life. In this study, we examined whether polygenic scores (PGSs) for AN and BMI are associated with growth trajectories spanning the first two decades of life. AN PGSs and BMI PGSs were calculated for participants of the Avon Longitudinal Study of Parents and Children (ALSPAC; n = 8,654). Using generalized (mixed) linear models, we associated PGSs with trajectories of weight, height, body mass index (BMI), fat mass index (FMI), lean mass index (LMI), and bone mineral density (BMD). Female participants with AN PGSs one standard deviation (SD) higher had, on average, 0.004% slower growth in BMI between the ages 6.5 and 24 years and a 0.4% slower gain in BMD between the ages 10 and 24 years. Higher BMI PGSs were associated with faster growth for BMI, FMI, LMI, BMD, and weight trajectories in both sexes throughout childhood. Female participants with both a high AN PGS and a low BMI PGS showed slower growth compared to those with both a low AN PGS and a low BMI PGS. We conclude that AN PGSs and BMI PGSs have detectable sex-specific effects on growth trajectories. Female participants with a high AN PGS and low BMI PGS likely constitute a high-risk group for AN, as their growth was slower compared to their peers with high PGSs on both traits. Further research is needed to better understand how the AN PGS and the BMI PGS co-influence growth during childhood and whether a high BMI PGS can mitigate the effects of a high AN PGS.

Additive impact of soy protein dietary intake and exercise on visceral fat mass reduction and mitochondrial complex I activation in skeletal muscle.

Soy protein has shown remarkable effectiveness in reducing fat mass compared with other protein sources, and exercise has the potential to further enhance this fat loss effect. Previous studies have demonstrated that soy protein intake leads to decreased fatty acid synthesis, which contributes to its fat-loss properties. However, the exact mechanism by which these lipids are consumed remains unclear. To investigate this, we conducted a comprehensive study using C57/BL6 male mice, comparing the effects of soy and casein proteins with and without exercise (Casein-Sed, Casein-Ex, Soy-Sed, and Soy-Ex groups) under high- and low-protein conditions (14% or 40% protein). Our findings revealed that combining soy protein intake with exercise significantly reduced epididymal white adipose tissue (eWAT) weight, particularly in the high-protein diet group. Further analysis revealed that exercise increased the expression of lipid oxidation-regulatory proteins, including mitochondrial oxidative phosphorylation protein (OXPHOS) complexes, in the plantaris muscle regardless of the protein source. Although soy protein intake did not directly affect muscle mitochondrial protein expression, the activity of OXPHOS complex I was additively enhanced by exercise and soy protein under the 40% protein condition. Notably, complex I activity inversely correlated with eWAT weight in the soy protein diet group. These results highlight the potential link between improved complex I activity induced by soy protein and fat mass reduction, which emphasizes the promising benefits of combining soy protein with exercise in promoting fat loss.NEW & NOTEWORTHY The findings revealed that soy protein intake combined with exercise resulted in reduced adipose tissue weight compared with that obtained with casein protein intake. Furthermore, the joint impact of exercise and soy protein consumption resulted in enhanced activity of oxidative phosphorylation protein (OXPHOS) complex I in fast-twitch muscles, which appears to be associated with fat mass reduction. These findings elucidate the potential additive effects of soy protein and exercise on body weight management.

High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review.

The appropriate use of predictive equations in estimating body composition through bioelectrical impedance analysis (BIA) depends on the device used and the subject's age, geographical ancestry, healthy status, physical activity level and sex. However, the presence of many isolated predictive equations in the literature makes the correct choice challenging, since the user may not distinguish its appropriateness. Therefore, the present systematic review aimed to classify each predictive equation in accordance with the independent parameters used. Sixty-four studies published between 1988 and 2023 were identified through a systematic search of international electronic databases. We included studies providing predictive equations derived from criterion methods, such as multi-compartment models for fat, fat-free and lean soft mass, dilution techniques for total-body water and extracellular water, total-body potassium for body cell mass, and magnetic resonance imaging or computerized tomography for skeletal muscle mass. The studies were excluded if non-criterion methods were employed or if the developed predictive equations involved mixed populations without specific codes or variables in the regression model. A total of 106 predictive equations were retrieved; 86 predictive equations were based on foot-to-hand and 20 on segmental technology, with no equations used the hand-to-hand and leg-to-leg. Classifying the subject's characteristics, 19 were for underaged, 26 for adults, 19 for athletes, 26 for elderly and 16 for individuals with diseases, encompassing both sexes. Practitioners now have an updated list of predictive equations for assessing body composition using BIA. Researchers are encouraged to generate novel predictive equations for scenarios not covered by the current literature.Registration code in PROSPERO: CRD42023467894.

Longitudinal Links between Changes in Body Composition and Liver Disease Severity in Children and Adolescents with Metabolic Dysfunction-Associated Steatotic Liver Disease.

OBJECTIVE: To investigate the relationship between longitudinal changes in body composition and liver disease severity in children with metabolic dysfunction-associated steatotic liver disease (MASLD). STUDY DESIGN: This longitudinal, single-center, retrospective analysis included patients aged <20 years followed for MASLD who had had ≥2 bioelectrical impedance analyses (BIAs) performed. MASLD regression was defined as alanine aminotransferase (ALT) normalization or a decrease of >50% from baseline. Fat and skeletal muscle mass were adjusted for size by calculating respective indices (dividing by height2). Logistic and linear regressions were used to determine the independent relationship between changes in body composition over time and serological markers of liver disease severity. RESULTS: We included 258 patients (75% male, 50% Hispanic) with a median age of 14 years (IQR, 11-16 years) at the time of first BIA. Median body mass index (BMI) z-score at baseline was 2.33 (IQR, 2.04-2.62). Median time from first to last BIA was 12 months (IQR, 6-24 months). A decrease in fat mass index was independently associated with reductions in ALT and gamma glutamyl transferase and increased odds of MASLD regression (OR; 0.55; P < .001). Fat mass index reduction was superior to BMI z-score in predicting MASLD regression. Change in skeletal muscle mass index was not associated with change in ALT or gamma glutamyl transferase. CONCLUSIONS: Changes in fat mass, not skeletal muscle mass, are associated with serological markers of liver injury in youth with MASLD. Fat mass changes outperform BMI z-score changes in predicting MASLD regression. BIA can serve as an adjunct biomarker of liver disease progression.

The Cross-Sectional Relation of Body Mass Index to Adiposity among 8- to 19-Year-Olds within Several Races and Ethnicities.

OBJECTIVE: To assess the screening ability of a high body mass index (BMI) for high adiposity among 8- to 19-year-olds. STUDY DESIGN: This cross-sectional study included 6454 National Health and Nutrition Survey participants from 2011 through 2018. Fat and lean mass were measured with dual-energy X-ray absorptiometry (DXA). We expressed adiposity as fat mass index (FMI, kg ÷ m2) and %fat. RESULTS: Based on the Centers for Disease Control and Prevention 95th percentile, a high BMI correctly classified a high FMI for about 95% of participants in each racial and ethnic group. About 81% (Blacks) to 90% (Hispanics) of participants with a high BMI also had a high FMI. Further, children with a high BMI were 17 (Hispanics) to 46 (Blacks) times more likely to have a high FMI than those with a "normal" BMI. The screening ability of high BMI for high %fat was weaker because levels of %fat are influenced by both fat mass (numerator) and lean mass (denominator). CONCLUSIONS: Despite differences in body composition, a high BMI is a very good screening tool for identifying high FMI not only among White 8- to 19-year-olds but also among Asians, Blacks, and Hispanics. Compared with %fat, FMI is likely a better adiposity metric among children and adolescents.

Impact of body composition on clinical outcomes in patients with active radiographic axial spondyloarthritis under biological therapy.

OBJECTIVE: To assess the association of body composition, evaluated by bioimpedance analysis (BIA), with disease activity, physical function, and mobility in patients with axSpA undergoing bDMARD treatment for one year. METHODS: Patients with AS (radiographic axSpA) were enrolled in an extension of the German Spondyloarthritis Inception Cohort (GESPIC). Patients were required to be candidates for bDMARD therapy at baseline presenting high disease activity despite previous treatment with nonsteroidal anti-inflammatory drugs. Outcomes (disease activity, function, and mobility) and body composition parameters were assessed at baseline and every 6 months thereafter. Body composition was assessed by BIA. The association between body composition parameters and outcomes over 1 year was analyzed using longitudinal generalized estimating equations. RESULTS: Seventy-four patients with radiographic axSpA were included in current analysis with a mean age of 36.5 years, disease duration of 6.2 years and ASDAS-CRP score of 3.4 at baseline. Fat mass value and fat mass index were positively associated with disease activity (ASDAS: ß = 0.01, 95% CI [-0.01, 0.03] and ß = 0.04, 95% CI [-0.01, 0.08], respectively) and functional disability (BASFI). Visceral adipose tissue (VAT) was associated with reduced spine mobility (BASMI: ß = 0.20, 95% CI [0.07, 0.33]). Additionally, increase in VAT and fat mass parameters was linked to worse disease activity and functional disability in women, while they were strongly associated with reduced spinal mobility in men. CONCLUSIONS: Higher levels of body fat and VAT were positively associated with increased disease activity, functional disability, and reduced spinal mobility in patients with radiographic axSpA treated with bDMARDs.

Fat mass and obesity-associated protein (FTO)-induced upregulation of flotillin-2 (FLOT2) contributes to cancer aggressiveness in diffuse large B-cell lymphoma (DLBCL) via activating the PI3K/Akt/mTOR signal pathway.

The role of fat mass and obesity-associated protein (FTO)-mediated N6-methyladenosine (m6A)-demethylation has been investigated in various types of cancers, but it is still unclear whether FTO participates in the progression of diffuse large B-cell lymphoma (DLBCL). Here, by conducting Real-Time qPCR and Western Blot analysis, we verified that FTO was especially enriched in the DLBCL cells (RCK-8, LY-3, DHL-6 and U2932) compared to normal WIL2S cells. Then, the overexpression and silencing vectors for FTO were delivered into the LY-3 and U2932 cells, and our functional experiments confirmed that silencing of FTO suppressed cell viability and division, and induced apoptotic cell death in the DLBCL cells, whereas FTO-overexpression exerted opposite effects. Further mechanical experiments showed that FTO demethylated m6A modifications in flotillin-2 (FLOT2) mRNA to sustain its stability for FLOT2 upregulation, and elevated FLOT2 subsequently increased the expression levels of phosphorylated PI3K (p-PI3K), p-Akt and p-mTOR to activate the tumor-initiating PI3K/Akt/mTOR signal pathway. Of note, FLOT2 also serve as an oncogene to enhance cancer malignancy in DLBCL, and the rescuing experiments showed that FTO-ablation induced suppressing effects on the malignant phenotypes in DLBCL were all abrogated by overexpressing FLOT2. Taken together, those data hinted that FTO-mediated m6A-demethylation upregulated FLOT2 to activate the downstream PI3K/Akt/mTOR signal pathway, leading to the aggressiveness of DLBCL, which potentially provided diagnostic, therapeutic and prognostic biomarkers for DLBCL.

Correlates of Body Composition in Children with Stunting: A Cross-sectional Study in Uganda.

BACKGROUND: Development of body composition (BC) may be disrupted in children with stunting. Such disruption may affect the later risk of excess adiposity and metabolic health, yet few studies have investigated correlates of BC in children with stunting. OBJECTIVES: We aimed to investigate nutritional status, infection and inflammation, breastfeeding behaviors, and other factors as correlates of BC in children with stunting. METHODS: Among Ugandan children with a height-for-age z-score <-2, BC was estimated using bioelectrical impedance analysis and compared with United Kingdom references. We used multiple linear regression analysis to identify correlates of fat mass (FM), fat-free mass (FFM), FM-index (FMI), and FFM index (FFMI) and height, adjusting for gender and age. RESULTS: In 750 children aged 1-5 y, FMI was 0.46 (95% confidence interval [CI]: 0.38, 0.54] and FFMI 0.18 [95% CI: 0.11, 0.26) z-scores lower than United Kingdom references. Elevated serum α1-acid glycoprotein was associated with 1.14 [0.76, 1.52] cm lower height, 0.50 [0.35, 0.65] kg/m2 less FFMI, and 0.48 [0.31, 0.66] kg/m2 greater FMI. Similar, weaker, associations for elevated serum C-reactive protein were detected. A positive malaria rapid test was associated with 0.64 [0.25, 1.02] cm shorter height, but 0.36 [0.18, 0.54] kg/m2 greater FMI. Anemia (according to hemoglobin) was associated with 0.20 [0.07, 0.33] kg less FFM in proportion to shorter height. Longer breastfeeding duration was associated with 0.03 [0.02, 0.04] kg greater FFM per month, in proportion to greater height. CONCLUSIONS: These children exhibited deficits in FM and FFM, proportionally to their stunted height, compared with United Kingdom references. Systemic inflammation correlated inversely with linear growth and FFM but positively with fatness, making it a possible target for intervention where fat-free tissue accretion is desirable. Longer breastfeeding may offer protection to lean linear growth, but findings for micronutrients were less clear. Longitudinal studies are warranted to support these findings. The study was registered at www.isrctn.com (Ref. ISRCTN13093195).

Impact of Fat Mass on Osteoporosis, Sarcopenia, and Osteosarcopenia in Peritoneal Dialysis Patients.

INTRODUCTION: The relationship between fat mass and osteoporosis, sarcopenia, and osteosarcopenia is complex. While higher fat mass generally has a negative impact on bone and muscle health in the general population, the impact in peritoneal dialysis (PD) patients is less well understood. METHODS: In this study of 359 PD patients, sarcopenia was identified using appendicular skeletal muscle per square meter (ASM/m2), with cut-off values of <7.0 kg/m2 for men and <5.5 kg/m2 for women. Fat tissue index (FTI) and lean tissue index (LTI) were determined using body composition monitoring, with the lowest tertile classified as low FTI and low LTI. Bone mineral density was measured, with a T-score below -2.5 indicating osteoporosis. RESULTS: The prevalence of osteoporosis, sarcopenia, and osteosarcopenia was 25%, 32%, and 15%, respectively. Notably, 60% of osteoporotic patients had sarcopenia, and about 45% of sarcopenic patients had osteoporosis. Patients with osteoporosis were older and had significantly lower LTI (15.3 vs. 12.7 kg/m2, p < 0.001) and ASM (7.3 vs. 5.8 kg/m2, p < 0.001). Osteoporotic patients also had lower FTI, but this was more pronounced in men than in women. Patients with both sarcopenia and osteoporosis had the lowest LTI and FTI compared to those with only one or neither condition. Low FTI was a significant determinant for osteoporosis (OR, 2.34; 95% CI, 1.43-3.85; p = 0.001), sarcopenia (OR, 2.91; 95% CI, 1.82-4.64; p < 0.001), and osteosarcopenia (OR, 2.34; 95% CI, 1.30-4.24; p = 0.005) in univariate analysis, and these associations remained significant after adjustment for age and body mass index. CONCLUSION: Osteoporosis and sarcopenia are common and interrelated in PD patients. Low fat mass, but not normal/high fat mass, was significantly associated with these conditions, suggesting the importance of maintaining adequate fat mass in PD patients.

Appendicular lean mass index and motor function in ambulatory patients with Duchenne muscular dystrophy.

INTRODUCTION/AIMS: Appendicular lean mass index (ALMI) has been linked to motor function in patients with Duchenne muscular dystrophy (DMD). However, quantification of the relationship between ALMI and disease-specific clinical outcome assessment trajectories is needed. The purpose of this study was to determine associations between dual-energy x-ray absorptiometry (DXA) derived estimates of ALMI and motor function in ambulatory patients with DMD. METHODS: A retrospective analysis of longitudinal clinical visit data from 137 glucocorticoid-treated patients with DMD collected via structured motor assessment protocol evaluated associations between ALMI and motor function indexed by the North Star Ambulatory Assessment (NSAA) and 10 Meter Walk/run Test (10MWT). Body composition was assessed using DXA. ALMI was calculated by dividing arm and leg lean mass by height in m2; fat mass index (FMI) was calculated by dividing whole body fat mass by height in m2. Linear mixed-effects models were used to estimate associations between ALMI and motor function, controlling for age and FMI. RESULTS: The full prediction model (age, age,2 ALMI, and FMI) explained 57% of the variance in NSAA scores and 63% of the variance in 10MWT speed. A 1 kg/m2 higher ALMI value predicted a 5.4-point higher NSAA score (p < .001) and 0.45 m/s faster 10MWT speed (p < .001). A 1 kg/m2 higher FMI value predicted a 1.5-point lower NSAA score (p < .001) and 0.14 meters/second slower 10MWT speed (p < .001). DISCUSSION: DXA-derived estimates of ALMI and FMI are associated with motor function in DMD and may explain variation in DMD disease progression.

The coexistence of low muscle mass and obesity evaluated by dual energy X-ray absorptiometry, rather than low muscle mass or obesity alone, is associated with macrovascular but not microvascular complications in patients with type 2 diabetes mellitus.

AIM: The prevalence of the coexistence of low muscle mass and obesity is increasing, particularly with a rising trend observed in patients diagnosed with type 2 diabetes mellitus (T2DM). However, the association between the coexistence of low muscle mass and obesity and diabetic complications remains unclear. This study aimed to investigate these associations in patients with T2D. MATERIALS AND METHODS: A retrospective study was conducted, including 2387 hospitalized patients with T2DM. Data on demographic characteristics, biochemical parameters, diabetic complications and body composition was from electronic health records. The participants were categorized as control, low muscle mass, obesity and the coexistence of the low muscle mass and obesity groups according to the body compositions evaluated by dual-energy X-ray absorptiometry. Multiple logistic regression models were applied to assess the associations between the pattern of body composition and complications of diabetes. RESULTS: After adjustment for potential confounders, compared with patients in the control group, the odds ratios [95% confidence intervals (CIs)] of macrovascular complications of diabetes were 0.62 (95% CI, 0.27-1.39) for those in the low muscle mass group, 1.12 (95% CI, 0.59-2.11) in the obesity group, and 2.43 (95% CI, 1.16-5.07) in the coexistence of the low muscle mass and obesity group, respectively; the odds ratios (95% CIs) of microvascular complications of diabetes were 0.86 (95% CI, 0.52-1.43) for those in the low muscle mass group, 0.82 (95% CI, 0.53-1.26) in the obesity group, and 1.21 (95% CI, 0.69-2.15) in the coexistence of the low muscle mass and obesity group, respectively. CONCLUSION: According to our findings, the coexistence of low muscle mass and obesity, rather than low muscle mass or obesity alone, was significantly associated with a higher prevalence of macrovascular complications in hospitalized patients with T2DM. This association was not observed for diabetic microvascular complications.

Characterizing body composition modifying effects of a glucagon-like peptide 1 receptor-based agonist: A meta-analysis.

AIM: Diabetes is an independent risk factor for muscle mass loss, with possible mechanisms including impaired insulin signalling and chronic inflammation. The use of a glucagon-like peptide 1 (GLP-1) receptor-based agonist could lead to weight reduction, which might result from the loss of both fat and skeletal muscle. However, the body composition-modifying effects of GLP-1 receptor-based agonists have not been systematically characterized. METHODS: PubMed, EMBASE, the Cochrane Center Register of Controlled Trials for Studies and Clinicaltrial.gov were searched from inception to October 2023. Randomized controlled trials of GLP-1 receptor agonist or glucose-dependent insulinotropic polypeptide/GLP-1 receptor dual agonist, which reported the changes of body composition, were included. The results were computed as weighted mean differences (WMDs) and 95% confidence intervals (CIs) in a random-effects model. RESULTS: In all, 19 randomized controlled trials were included. When compared with controls, substantial reductions in fat body mass were observed in patients using GLP-1 receptor-based agonist treatment (WMD = -2.25 kg, 95% CI -3.40 to -1.10 kg), with decrease in areas of both subcutaneous fat (WMD = -38.35 cm2, 95% CI, -54.75 to -21.95 cm2) and visceral fat (WMD = -14.61 cm2, 95% CI, -23.77 to -5.44 cm2). Moreover, greater reductions in lean body mass were also observed in GLP-1 receptor-based agonist users compared with non-users (WMD = -1.02 kg, 95% CI, -1.46 to -0.57 kg), while the changes in lean mass percentage were comparable between GLP-1 receptor-based agonist users and non-users. CONCLUSION: Compared with the controls, GLP-1 receptor-based agonist users experienced greater reductions in fat body mass, with body shaping effects in terms of both subcutaneous fat mass and visceral fat mass. Although greater reductions in lean body mass were also observed in GLP-1 receptor-based agonist users, the changes in lean mass percentage were comparable between the users and non-users.

Knockdown of fat mass and obesity alleviates the ferroptosis in Parkinson's disease through m6A-NRF2-dependent manner.

Emerging evidence has suggested that N6 -methyladenosine (m6 A) regulates the pathology of Parkinson's disease (PD). Nevertheless, the function of demethylase fat mass and obesity (FTO) associated pathogenesis is still not fully elucidated. Here, this research findings revealed that m6 A-modification was decreased in PD models, meanwhile, the FTO level upregulated in the PD models. Functionally, in N-methyl-4-phenylpyridinium (MPP+) treated SH-SY5Y cells, the ferroptosis significantly upregulated and FTO silencing mitigated the ferroptosis phenotype. Moreover, in silico assays indicated that nuclear factor erythroid 2-related factor-2 (NRF2) acted as the target of FTO, and FTO demethylated the m6 A modification from NRF2 mRNA. Furthermore, FTO impaired the NRF2 mRNA stability via m6 A-dependent pathway. Thus, our findings illustrated an important role of FTO on PD through m6 A-NRF2-ferroptosis manner. Taken together, the study revealed the potential function of FTO on PD nervous system diseases.

Linear and non-linear relationships between body fat mass distribution and bone mineral density in adults: The NHANES, 2011-2018.

OBJECTIVE: The relationship between body fat mass and bone mineral density (BMD) remains controversial. This research aimed to explore the linear or non-linear relationship between body fat mass and BMD among adults in the United States. METHODS: This cross-sectional study identified adults aged 18 years or older in the National Health and Nutrition Examination Survey from 2011 to 2018. After adjusting for covariates, linear relationships between body fat mass and BMD in different genders were tested by generalized linear models, and potential non-linear relationships were explored by generalized additive models and piecewise linear regression models. RESULTS: The research included 4691 (57.9% of the total sample) males and 3417 (42.1% the of total sample) females. In both males and females, we found a negative association between android or total body fat mass and lumbar spine BMD and a positive association between appendicular, android, gynoid, or total body fat mass and whole body BMD (all P < 0.05). The relationships between body fat mass in all regions and lumbar spine BMD were U-shaped in males and inverted U-shaped in females (all Pnon-linear < 0.05). Inverted U-shaped relationships existed between body fat mass in all regions and whole body BMD in females (all Pnon-linear < 0.05). CONCLUSIONS: Body fat mass was negatively and linearly associated with lumbar spine BMD, but positively associated with whole body BMD. Body fat mass had a U-shaped relationship with lumbar spine BMD in males and an inverted U-shaped association with lumbar spine and whole body BMD in females.

Fat-free mass may play a dominant role in the association between systolic blood pressure and body composition in children and adolescents.

Systolic blood pressure (SBP) is significantly associated with body composition in children and adolescents. However, which one of the components of body composition is the dominant contributor to SBP in children and adolescents remains unclear. We, therefore, aimed to determine the dominant contributor to SBP among components of body composition in a large cohort of American children and adolescents derived from the National Health and Nutrition Examination Survey with cross-sectional analysis. In total, 13 618 children and adolescents (median age 13 years; 6107 girls) with available data on whole-body dual-emission X-ray absorptiometry measurements were included. Multiple linear regression showed that SBP was associated with higher total fat-free mass in boys (ß = 0·49, P < 0·001) and girls (ß = 0·47, P < 0·001) and with higher total fat mass only in boys (ß = 0·12, P < 0·001) after adjustment for covariates. When taking fat distribution into consideration, SBP was associated with higher trunk fat mass (boys: ß = 0·28, P < 0·001; girls: ß = 0·15, P < 0·001) but negatively associated with leg fat mass (Boys: ß = -0·14, P < 0·001; Girls: ß = -0·11, P < 0·001), in both boys and girls. Dominance analysis showed that total fat-free mass was the dominant contributor to SBP (boys: 49 %; girls: 55·3 %), followed by trunk fat mass (boys: 32·1 %; girls: 26·9 %); leg fat mass contributed the least to SBP in boys (18·9 %) and girls (17·8 %). Our findings indicated that total fat-free mass was not only associated with SBP but also the most dominant contributor to SBP variation in American children and adolescents.

Body composition from birth to 6 months in term small-for-gestational-age Indian infants: effect of catch-up growth.

The objective of this prospective observational study was to assess the growth and body composition of term small-for-gestational-age (SGA) infants from birth to 6 months and evaluate the effect of catch-up growth (CUG) on body composition. Term SGA newborns were recruited at birth. Anthropometry and body composition were evaluated at 3 days, 6, 10 and 14 weeks, and 6 months. Fat and fat-free mass (FM and FFM) were compared between infants with and without CUG (increase in weight Z-score by > 0·67) by air displacement plethysmography. Factors that could affect body composition and CUG, including parents' BMI and stature, infants' birth weight, sex and feeding, were evaluated. A total of 143 SGA newborns (sixty-six boys) with birth weight of 2336 (sd 214) g were enrolled; 109 were followed up till 6 months. Median weight Z-score increased from -2·3 at birth to -1·3 at 6 months, with 51·9 % of infants showing CUG. Infants with CUG had higher FM (1796 (sd 491) g v. 1196 (sd 474) g, P < 0·001) but similar FFM (4969 (sd 508) g v. 4870 (sd 622) g, P = 0·380), and consequently higher FM percentage (FM%) (26·5 (sd 5·8) v. 19·7 (sd 6·9), P < 0·001), compared with those without CUG. Lower birth weight, exclusive breast-feeding and higher parental stature were positively associated with CUG. In conclusion, CUG in term SGA infants in the first 6 months of life was almost entirely attributable to greater gain in FM. Follow-up of this cohort will provide insight into the long-term effect of disproportionate gain in FM in early infancy in SGA babies.

Changes in alanine aminotransferase and body composition and metabolic factors among individuals receiving medical health checkups.

AIM: To examine the relationship between changes in alanine aminotransferase (ALT) and those in body composition and metabolic factors in participants receiving medical health checkups (4350 men [mean age 52.5 years] and 5398 women [mean age 50.5 years]) METHODS: We divided the participants into four types based on their ALT value at baseline and 1 year: A, ALT ≤30 (baseline) and ≤30 (1 year); B, ALT ≥31 (baseline) and ≤30 (1 year); C, ALT ≤30 (baseline) and ≥31 (1 year); and D, ALT ≥31 (baseline) and ≥31 (1 year). The change in each body composition-related parameter (waist circumference, fat mass, fat-free mass, fat mass to fat-free mass ratio, etc.) after 1-year was defined as Δ. RESULTS: The mean changes in waist circumference (cm) in the four types (A, B, C, and D) were -0.33, -1.54, 0.66, and -0.29 (overall p < 0.0001) in men, and -0.19, -0.90, 0.30, and 0.090 (overall p < 0.0001) in women. The mean changes in fat mass (kg) in the four types were -0.027, -0.86, 0.62, and 0.092 (overall p < 0.0001) in men, and 0.0067, -0.48, 0.39, and 0.063 (overall p < 0.0001) in women. The mean changes in fat-free mass (kg) in the four types were -0.028, -0.55, 0.42, and -0.034 (overall p < 0.0001) in men, and -0.0091, -0.34, 0.12, and -0.045 (overall p = 0.0012) in women. The mean changes in fat mass to fat-free mass ratio in the four types were -0.00042, -0.0120, 0.00837, and 0.00171 (overall p < 0.0001) in men, and -0.00013, -0.00817, 0.00730, and 0.00628 (overall p < 0.0001) in women. CONCLUSION: A decrease in ALT to ≤30 IU/L may be associated with improved body composition balance, but caution should be exercised for the decrease in muscle mass.

Fatty liver index and somatic composition in subjects receiving medical health checkup.

AIMS: To elucidate the relationship between fatty liver index (FLI) and somatic composition among health checkup recipients (4533 men and 4877 women). METHODS: Fat (F) index, fat-free (FF) index, and fat mass to fat-free mass (F-FF) ratio was measured by bioimpedance analysis. Skeletal muscle mass (SMM) loss was defined as FF index <18 kg/m2 in men and FF index <15 kg/m2 in women. The impact of FLI on the somatic composition (i.e., F index, FF index, and F-FF ratio) was retrospectively investigated. RESULTS: The median age in men and women was 54 and 52 years (p < 0.0001). The median body mass index in men and women was 23.4 and 21.1 kg/m2 (p < 0.0001). The prevalence of fatty liver on ultrasonography was 52.5% in men and 22.1% in women. The median FLI in men and women was 25.1 and 6.9 (p < 0.0001). Fatty liver index correlated significantly with F index (r > 0.5 in all analyses). In all analyses, the decreased SMM group had significantly lower FLI than the nondecreased SMM group. In receiver operating characteristic (ROC) curve analysis for the SMM decrease, in both genders, area under the ROCs of FLI were all over 0.80 (optimal cut-off point: 19.7 in men and 8.4 in women). The FLI correlated significantly with F-FF ratio (r > 0.5 in all analyses). CONCLUSION: The FLI can be a good indicator of not only fat mass but also FF mass and body composition balance in health checkup subjects. The FLI may not be just a marker of hepatic steatosis.

Protein intake and body weight, fat mass and waist circumference: an umbrella review of systematic reviews for the evidence-based guideline on protein intake of the German Nutrition Society.

PURPOSE: This umbrella review aimed to assess whether dietary protein intake with regard to quantitative (higher vs. lower dietary protein intake) and qualitative considerations (total, plant-based or animal-based protein intake) affects body weight (BW), fat mass (FM) and waist circumference (WC). METHODS: A systematic literature search was conducted in PubMed, Embase and Cochrane Database of Systematic Reviews for systematic reviews (SRs) with and without meta-analyses of prospective studies published between 04 October 2007 and 04 January 2022. Methodological quality and outcome-specific certainty of evidence of the retrieved SRs were assessed by using AMSTAR 2 and NutriGrade, respectively, in order to rate the overall certainty of evidence using predefined criteria. RESULTS: Thirty-three SRs were included in this umbrella review; 29 were based on randomised controlled trials, a few included cohort studies. In studies without energy restriction, a high-protein diet did not modulate BW, FM and WC in adults in general (all "possible" evidence); for older adults, overall certainty of evidence was "insufficient" for all parameters. Under hypoenergetic diets, a high-protein diet mostly decreased BW and FM, but evidence was "insufficient" due to low methodological quality. Evidence regarding an influence of the protein type on BW, FM and WC was "insufficient". CONCLUSION: "Possible" evidence exists that the amount of protein does not affect BW, FM and WC in adults under isoenergetic conditions. Its impact on the reduction in BW and FM under hypoenergetic conditions remains unclear; evidence for an influence of protein type on BW, FM and WC is "insufficient".