The Associations of LPIN1 Gene Expression in Adipose Tissue With Metabolic Phenotypes in the Chinese Population

The LPIN1 gene, encoding lipin‐1 protein, plays critical roles in adipocyte differentiation and lipid metabolism. This study aimed to analyze the association of LPIN1 mRNA levels in human adipose tissue with metabolic phenotypes. We also examined the association of LPIN1 genetic variation with type 2 diabetes and related metabolic phenotypes in the Chinese population. The relative LPIN1 mRNA levels were measured in abdominal visceral (VAT) and subcutaneous adipose tissue (SAT) obtained from 102 nondiabetic Chinese females. Seven single‐nucleotide polymorphisms (SNPs) spanning from the 5′‐upstream region to the 3′‐end of the LPIN1 gene were genotyped in 1,520 Chinese (760 type 2 diabetic cases and 760 controls). LPIN1 mRNA levels in VAT were negatively correlated with BMI (r = ?0.21, P = 0.03), body fat percentage (r = ?0.22, P = 0.02), plasma triglycerides levels (r = ?0.21, P = 0.03), and plasma leptin levels (r = ?0.63, P = 0.0002). LPIN1 mRNA levels were positively correlated with PPARG and ADIPOQ mRNA levels in both VAT and SAT. No single SNP of the LPIN1 gene was associated with type 2 diabetes in our population. One rare haplotype showed a significant association with type 2 diabetes (odds ratio (OR), 4.35; 95% confidence interval, 1.86–11.75; P = 4 × 10^?4). No SNP or haplotype of the LPIN1 gene was associated with quantitative metabolic traits in the nondiabetic subjects. The results confirmed the association of LPIN1 gene expression in adipose tissue with lower adiposity and favorable metabolic profiles in the Chinese population. However, the LPIN1 gene seemed not to be a major susceptibility gene for type 2 diabetes or related metabolic phenotypes in the Chinese population.     

Arg64β3‐Adrenoceptor Variant and the Components of Energy Expenditure

Objective: To determine Trp64Arg β₃‐adrenoceptor genotype‐specific differences in the components of energy expenditure. Hypothesis: We hypothesized that resting metabolic rate (RMR) and physical activity levels would be lower and that thermic effect of feeding (TEF) would be higher in those with the Arg64 allele. Research Methods and Procedures: RMR and TEF were measured by indirect calorimetry, physical activity by questionnaire, and total energy expenditure by the doubly labeled water method. Genotype‐specific measures were compared using ANOVA and analysis of covariance (ANCOVA). Results: RMR in Arg64 homozygotes was significantly lower than in Trp64 homozygotes [Arg64, 1373 ± 259 kcal/d (n = 15) vs. Trp64Arg, 1538 ± 238 kcal/d (n = 25) vs. Trp64, 1607 ± 290 kcal/d (n = 22); p < 0.01]. TEF was significantly higher in Arg64 homozygotes compared with Trp64 homozygotes (Arg64, 359 ± 28 kcal/d; Trp64Arg, 322 ± 22 kcal/d; and Trp64, 279 ± 23 kcal/d; p < 0.05). No differences were identified between genotypes in physical activity or in total energy expenditure. Discussion: Our results suggest that the Arg64 β₃‐adrenoceptor allele contributes significantly to the genetic variability in both RMR and TEF.     

Protein Tyrosine Phosphatase 1B Variant Associated with Fat Distribution and Insulin Metabolism

Protein tyrosine phosphatase 1B (PTPN1) affects the regulation of insulin signaling and energy metabolism. We studied whether polymorphisms in the PTPN1 gene impact body fat distribution in the HERITAGE Family Study cohort in 502 white and 276 black subjects. Insulin sensitivity index, glucose disappearance index, acute insulin response to glucose (AIR_glucose), and the disposition index (DI) were obtained from the frequently sampled intravenous glucose tolerance test. White subjects with the G82G at the PTPN1 IVS6+G82A polymorphism had higher body fat levels (p = 0.031) and sum of eight skinfolds (p = 0.003) and highest subcutaneous fat on the limbs (p = 0.002). G82A subjects had the lowest AIR_glucose (p = 0.005) and disposition index (p = 0.040). Interaction effects between PTPN1 and leptin receptor gene variants influenced insulin sensitivity index and AIR_glucose (p from 0.006 to 0.010). The variant PTPN1 Pro387Leu was associated with lower fasting insulin level (p = 0.035) and glucose disappearance index (p = 0.038). In summary, PTPN1 IVS6+G82G homozygotes showed higher levels of all measures of adiposity. G82 allele heterozygotes are potentially at higher risk for type 2 diabetes. Gene‐gene interactions between the PTPN1 and leptin receptor genes contributed to the phenotypic variability of insulin sensitivity. The PTPN1 Pro387Leu variant was associated with lower glucose tolerance.     

Differences in Resting Metabolic Rate between White and African‐American Young Adults

Objective: A reported lower resting metabolic rate (RMR) in African‐American women than in white women could explain the higher prevalence of obesity in the former group. Little information is available on RMR in African‐American men. Research Methods and Procedures: We assessed RMR by indirect calorimetry and body composition by DXA in 395 adults ages 28 to 40 years (100 African‐American men, 95 white men, 94 African‐American women, and 106 white women), recruited from participants in the Coronary Artery Risk Development in Young Adults (CARDIA), Birmingham, Alabama, and Oakland, California, field centers. Results: Using linear models, fat‐free mass, fat mass, visceral fat, and age were significantly related to RMR, but the usual level of physical activity was not. After adjustment for these variables, mean RMR was significantly higher in whites (1665.07 ± 10.78 kcal/d) than in African Americans (1585.05 ± 11.02 kcal/d) by 80 ± 16 kcal/d (p < 0.0001). The ethnic × gender interaction was not significant (p = 0.9512), indicating that the difference in RMR between African‐American and white subjects was similar for men and women. Discussion: RMR is ～5% higher in white than in African‐American participants in CARDIA. The difference was the same for men and women and for lean and obese individuals. The prevalence of obesity is not higher in African‐American men than in white men. Because of these reasons, we believe that RMR differences are unlikely to be a primary explanation for why African‐American women are more prone to obesity than white women.     

ACDC/Adiponectin and PPAR‐γ Gene Polymorphisms: Implications for Features of Obesity

Objective: The main purpose of this study was to investigate associations of single‐nucleotide polymorphisms (SNPs) in the adipocyte C1q and collagen domain‐containing (ACDC) gene and its regulator, the nuclear peroxisome proliferator‐activated receptor (PPAR)‐γ gene, with body fat mass and its topographical distribution in postmenopausal women. Research Methods and Procedures: Participants were 1501 healthy women, 60 to 85 years old, who were genotyped for four SNPs in the ACDC gene (−11391G/A, −11377C/G, +45T/G, +276G/T) and the Pro12Ala SNP in the PPAR‐γ gene. Total body fat mass and the central to peripheral fat mass ratio (CFM/PFM ratio) were measured using DXA. Adiponectin and homeostasis model assessment of insulin resistance were measured in 287 subjects. Results: The −11377C/G SNP was associated with adiponectin (p < 0.001) and the CFM/PFM ratio (p = 0.005); the G allele being associated with low adiponectin and high CFM/PFM ratio. Similar associations of adiponectin (p = 0.0001) and the CFM/PFM ratio (p = 0.002) characterized the 1_2 (G_G) promoter haplotype (11391G/A_−11377C/G). Genotype variation of SNP Pro12Ala was associated with total body fat mass (p = 0.04); women with GG being the most obese (p = 0.01). The Ala/Ala (GG) genotype of Pro12Ala SNP interacted with the CC genotype of SNP‐11377C/G in the determination of BMI (p = 0.001), when analyzed using a codominant model. Discussion: Polymorphisms in the ACDC gene are associated with body fat distribution, whereas the Pro12Ala polymorphism in PPAR‐γ is associated with overall adiposity, apparently in interaction with an ACDC promoter SNP.     

Mutations in Leptin (LEP) Gene Are Associated with Carcass and Meat Quality Traits in Crossbreed Rabbits

Leptin is a hormone synthesized and secreted primarily in adipose cells that help to regulate energy balance. This study examined the associations of single nucleotide polymorphisms in the rabbit leptin gene with growth traits, slaughter traits and physicochemical parameters of New Zealand White (NZW) and Belgian Giant Grey (BGG) crossbreed rabbits. In total, 320 crossbreed animals were genotyped for polymorphisms within exon 2—g.16081633T>C, intron 1_2—g.16081420C>T, and within UTR—g.16079636C>G for association analysis. Identified polymorphisms within rabbits leptin gene showed significant differences for dissectible fat percentage in carcass and dissectible fat weight in intermediate part (g.16081633T>C). Moreover, meat traits like protein content (g.16081633T>C; g.16079636C>G), intramuscular fat content (g.16081633T>C; g.16079636C>G, g.16081420C>T), dry matter (g.16081420C>T), ash (g.16081420C>T), water (g.16081420C>T), and cohesiveness (g.16081420C>T, g.16079636C>G) were affected by polymorphisms in leptin gene. We conclude that polymorphism in the rabbit leptin gene influences important carcass and meat traits of NZW?×?BGG crossbreeds. Therefore, polymorphisms identified in this study may be used in selection as a meat trait markers.     

Low Plasma Leptin Concentration and Low Rates of Fat Oxidation in Weight‐Stable Post‐Obese Subjects

Objective: A low resting metabolic rate for a given body size and composition, a low rate of fat oxidation, low levels of physical activity, and low plasma leptin concentrations are all risk factors for body weight gain. The aim of the present investigation was to compare resting metabolic rate (RMR), respiratory quotient (RQ), levels of physical activity, and plasma leptin concentrations in eight post‐obese adults (2 males and 6 females; 48.9 ± 12.2 years; body mass index [BMI]: 24.5 ± 1.0 kg/m²; body fat 33 ± 5%; mean ± SD) who lost 27.1 ± 21.3 kg (16 to 79 kg) and had maintained this weight loss for ≥2 months (2 to 9 months) to eight age‐ and BMI‐matched control never‐obese subjects (1 male and 7 females; 49.1 ± 5.2 years; BMI 24.4 ± 1.0 kg/m²; body fat 33 ± 7%). Research Methods and Procedures: Following 3 days of weight maintenance diet (50% carbohydrate and 30% fat), RMR and RQ were measured after a 10‐hour fast using indirect calorimetry and plasma leptin concentrations were measured using radioimmunoassay. Levels of physical activity were estimated using an accelerometer over a 48‐hour period in free living conditions. Results: After adjustment for fat mass and fat‐free mass, post‐obese subjects had, compared with controls, similar levels of physical activity (4185 ± 205 vs. 4295 ± 204 counts) and similar RMR (1383 ± 268 vs. 1430 ± 104 kcal/day) but higher RQ (0.86 ± 0.04 vs. 0.81 ± 0.03, p < 0.05). Leptin concentration correlated positively with percent body fat (r = 0.57, p < 0.05) and, after adjusting for fat mass and fat‐free mass, was lower in post‐obese than in control subjects (4.5 ± 2.1 vs. 11.6 ± 7.9 ng/mL, p < 0.05). Discussion: The low fat oxidation and low plasma leptin concentrations observed in post‐obese individuals may, in part, explain their propensity to relapse.     

A quantitative trait locus for body fat on chromosome 1q43 in French Canadians: linkage and association studies

Objective: To explore a quantitative trait locus (QTL) on human chromosome 1q affecting BMI, adiposity, and fat‐free mass phenotypes in the Quebec Family Study cohort. Research Methods and Procedures: Non‐parametric sibpair and variance component linkage analyses and family‐based association studies were performed with a dense set of chromosome 1q43 microsatellites and single‐nucleotide polymorphism markers in 885 adult individuals. Results: Linkage was observed between marker D1S184 and BMI (p = 0.0004) and with body fat mass or percentage body fat (p ≤ 0.0003), but no linkage was detected with fat‐free mass. Furthermore, significant linkages (p < 0.0001) were achieved with subsamples of sibpairs at both ends of phenotype distributions. Association studies with quantitative transmission disequilibrium tests refined the linkage to a region overlapping the regulator of G‐protein signaling 7 (RGS7) gene and extending to immediate upstream gene loci. Discussion: The present study indicates that the QTL on chromosome 1q43 specifically affects total adiposity and provides a genetic mapping framework for the dissection of this adiposity locus.     

Association Between the 4 bp Proinsulin Gene Insertion Polymorphism (IVS‐69) and Body Composition in Black South African Women

The objective of the study was to examine the association between a functional 4 bp proinsulin gene insertion polymorphism (IVS‐69), fasting insulin concentrations, and body composition in black South African women. Body composition, body fat distribution, fasting glucose and insulin concentrations, and IVS‐69 genotype were measured in 115 normal‐weight (BMI <25 kg/m²) and 138 obese (BMI ≥30 kg/m²) premenopausal women. The frequency of the insertion allele was significantly higher in the class 2 obese (BMI ≥35kg/m²) compared with the normal‐weight group (P = 0.029). Obese subjects with the insertion allele had greater fat mass (42.3 ± 0.9 vs. 38.9 ± 0.9 kg, P = 0.034) and fat‐free soft tissue mass (47.4 ± 0.6 vs. 45.1 ± 0.6 kg, P = 0.014), and more abdominal subcutaneous adipose tissue (SAT, 595 ± 17 vs. 531 ± 17 cm², P = 0.025) but not visceral fat (P = 0.739), than obese homozygotes for the wild‐type allele. Only SAT was greater in normal‐weight subjects with the insertion allele (P = 0.048). There were no differences in fasting insulin or glucose levels between subjects with the insertion allele or homozygotes for the wild‐type allele in the normal‐weight or obese groups. In conclusion, the 4 bp proinsulin gene insertion allele is associated with extreme obesity, reflected by greater fat‐free soft tissue mass and fat mass, particularly SAT, in obese black South African women.     

A role of lipin in human obesity and insulin resistance: relation to adipocyte glucose transport and GLUT4 expression

The mouse lipin gene, Lpin1, is important for adipose tissue development and is a candidate gene for insulin resistance. Here, we investigate the adipose tissue expression levels of the human LPIN1 gene in relation to various clinical variables as well as adipocyte function. LPIN1 gene expression was induced at an early step in human preadipocyte differentiation in parallel with peroxisome proliferator-activated receptor gamma. Lipin mRNA levels were higher in fat cells than in adipose tissue segments but showed no difference between subcutaneous and omental depots. Moreover, LPIN1 expression levels were reduced in obesity, improved following weight reduction in obese subjects, and were downregulated in women with the metabolic syndrome. With respect to adipocyte function, adipose LPIN1 gene expression was strongly associated with both basal and insulin-mediated subcutaneous adipocyte glucose transport as well as mRNA levels of glucose transporter 4 (GLUT4). We show that body fat accumulation is a major regulator of human adipose LPIN1 expression and suggest a role of LPIN1 in human preadipocyte as well as mature adipocyte function.     

Leptin Levels,Leptin Receptor Gene Polymorphisms,and Energy Metabolism in Women

Objective: Resting metabolic rate (RMR) is mainly determined by fat‐free mass and additionally by age, sex, hormones, and possibly genetic differences. We evaluated whether leptin levels and polymorphisms in the leptin receptor (LEPR) gene were associated with energy expenditure phenotypes. Methods: RMR, body composition, and leptin levels were measured in 125 overweight and obese women. Three LEPR polymorphisms, Lys109Arg, Gln223Arg, and Lys656Asn, were typed on genomic DNA of another group of 192 women in whom RMR was measured. Fat, protein, and carbohydrate oxidation were calculated for 103 of these subjects. In 38 subjects, glucose‐induced thermogenesis was measured over 3 hours. Results: In the first study group, a negative correlation between RMR and leptin levels was found after controlling for fat and fat‐free mass. In multiple regression analysis, leptin contributed significantly to RMR, independent of body composition. In the second study group, RMR was not associated with LEPR polymorphisms. Differences in substrate oxidation rates were found among genotypes at the Lys656Asn site. In fasting conditions, Lys656Lys showed a trend to oxidize more carbohydrates and less fat than Asn656 carriers, a trend which became significant after the glucose load when carbohydrate oxidation rate in Lys656Lys was 15% higher than in Asn656 carriers (p = 0.04), and fat oxidation rate was 44% lower (p = 0.02). Discussion: These results suggest that DNA sequence variations in the LEPR gene could affect substrate oxidation. We hypothesize that this might be caused by differences in glucose levels, leading to differences in glucose oxidation rates.     

Intake compensates for resting metabolic rate variation in female C57BL/6J mice fed high-fat diets

Objective: The literature is divided over whether variation in resting metabolic rate (RMR) is related to subsequent obesity. We set out to see whether the effect of RMR on weight gain in mice could be revealed with high‐fat feeding. Research Methods and Procedures: Female C57BL/6J mice received a low‐ (10 kcal%fat n = 47), medium‐ (45 kcal%fat n = 50), or high‐fat diet (60 kcal%fat n = 50) for 12 weeks. Pre‐treatment RMR was measured by indirect calorimetry. Body composition was estimated using DXA before and after treatment. Results: Mice on the high‐fat diet gained 39% of body mass, whereas control animals gained 3.5%. There was no interaction between RMR and dietary type on weight gain, and there was no association between weight gain and RMR for any of the treatments. RMR accounted for 2.4% of the variation in pre‐treatment food intake corrected for initial body mass; however, the gradient of this relationship indicated that variations in RMR were, on average, compensated for by adjustments in food intake. Discussion: Individual variations in RMR did not predispose mice to weight gain independent of the dietary treatment. Deviations from the relationship between RMR and food intake were not associated with weight gain. This suggests that variations in energy expenditure, caused by RMR and physical activity, are closely linked to dietary intake, and, therefore, well compensated. Individual variations in the strength of this association may underpin individual variability in the responses to diet.     

Effect of calorie restriction on resting metabolic rate and spontaneous physical activity

Objective: It is unclear if resting metabolic rate (RMR) and spontaneous physical activity (SPA) decrease in weight‐reduced non‐obese participants. Additionally, it is unknown if changes in SPA, measured in a respiratory chamber, reflect changes in free‐living physical activity level (PAL). Research Methods and Procedures: Participants (N = 48) were randomized into 4 groups for 6 months: calorie restriction (CR, 25% restriction), CR plus structured exercise (CR+EX, 12.5% restriction plus 12.5% increased energy expenditure via exercise), low‐calorie diet (LCD, 890 kcal/d supplement diet until 15% weight loss, then weight maintenance), and control (weight maintenance). Measurements were collected at baseline, Month 3, and Month 6. Body composition and RMR were measured by DXA and indirect calorimetry, respectively. Two measures of SPA were collected in a respiratory chamber (percent of time active and kcal/d). Free‐living PAL (PAL = total daily energy expenditure by doubly labeled water/RMR) was also measured. Regression equations at baseline were used to adjust RMR for fat‐free mass and SPA (kcal/d) for body weight. Results: Adjusted RMR decreased at Month 3 in the CR group and at Month 6 in the CR+EX and LCD groups. Neither measure of SPA decreased significantly in any group. PAL decreased at Month 3 in the CR and LCD groups, but not in the CR+EX group, who engaged in structured exercise. Changes in SPA in the chamber and free‐living PAL were not related. Discussion: Body weight is defended in non‐obese participants during modest caloric restriction, evidenced by metabolic adaptation of RMR and reduced energy expenditure through physical activity.     

Physical Activity and Low-Fat Diet: Is it Enough to Maintain Weight Stability in the Reduced-Obese Individual Following Weight Loss by Drug Therapy and Energy Restriction?

DOUCET, ERIC, PASCAL IMBEAULT, NATALIE ALMÉRAS, AND ANGELO TREMBLAY. Physical activity and low-fat diet: Is it enough to maintain weight stability in the reduced-obese individual following weight loss by drug therapy and energy restriction? Obes Res. Objective: The anthropometric and physiological effects of a physical activity (PA) and a mildly energy-restricted low-fat diet (LFD) follow-up program after a long-term dietary restriction were studied in 12 men and 8 women. Research Methods and Procedures: The dietary restriction (?700 kcal/day) was accompanied by a fenfluramine (60 mg/day) or placebo treatment for 15 weeks, whereas the mean duration of the PA-LFD follow-up was 18 weeks. Results: The long-term dietary restriction reduced body weight (?11. 9 and ?7. 6 kg, p<. 001), fat mass (FM) (?10. 6 and ?5. 8 kg, p<0. 01), resting metabolic rate (RMR) (?304 kcal/day, p<0. 01 and ?148 kcal/day, NS) in men and women, respectively. A decrease in fat-free mass (FFM) was also observed in women (?1. 8 kg, p<0. 05). The PA-LFD follow-up preserved weight stability at a reduced body weight and caused an additional significant decrease in FM for men (?3. 4 kg, p<0. 05). This part of the intervention also caused an increase in daily RMR for men (134 kcal/day, NS) to the point where this value no longer differed from the pre-energy restriction value. In contrast, RMR was further reduced in women (?200 kcal/day) to the point where it Significantly differed from initial values (p<0. 01). Resting seated heart rate was reduced by the PA-LFD follow-up in men leading it to differ significantly from both pre- and post-energy restriction values (?8. 5 and ?5. 5 bpm, p<0. 01). Discussion: In conclusion, these results suggest that a PA-LFD follow-up has the potential to permit body weight stability and may even accentuate fat loss in the reduced-obese state. Moreover, resting energy expenditure is increased under such conditions in men. These stimulating effects seem to be specific to energy metabolism since seated heart rate was either further reduced or remained stable in response to the PA-LFD follow-up.     

Obesity‐related Polymorphisms and Their Associations With the Ability to Regulate Fat Oxidation in Obese Europeans: The NUGENOB Study

Both obesity and insulin resistance have been related to low fat oxidation rates, which may be genetically determined. The association between variation in fat oxidation rates among obese subjects and genotype was studied for 42 common single‐nucleotide polymorphisms (SNPs) in 26 candidate genes for fat oxidation, insulin resistance, and obesity, including FTO. Energy expenditure (EE) and fat oxidation were measured with indirect calorimetry during fasting and 3 h after a high fat load containing 95 energy% of fat (60% saturated fat, energy content 50% of estimated resting EE) in 722 obese subjects (541 women, 181 men) from 8 European centers. After adjustment for center and gender, ?178 A>C CD36 (rs2232169) (P = 0.02), ?22510 C>G SLC6A14 (women, rs2011162) (P = 0.03), and T690S C>G PCSK1 (rs6235) (P = 0.02) were related to a reduced fat oxidation, whereas 17 C>G SREBF1 (17 C>G) (P = 0.01) was related to increased fat oxidation in the fasting state. The ability to increase fat oxidation after a high fat load was increased in subjects with ?174 G>C IL6 (rs1800795) (P = 0.01). Effect sizes range from 1.1 to 3.1% differences in fat oxidation (expressed as % of EE). FTO rs9939609 was not related to fat oxidation. At the same time, the results are not adjusted for multiple testing, thus none of the associations can be considered statistically significant. The results should therefore only be considered as leads to new hypotheses about effects of specific genetic polymorphisms on fasting and postprandial fat oxidation.     

Polymorphism of SLC14A1 encoding human erythrocytic Kidd antigens in the Chinese population

The SLC14A1 gene, which encodes the important Kidd blood group antigens, has not been systematically?analyzed at the molecular level in Chinese individuals. In this study, SLC14A1 genetic polymorphism was examined in Chinese individuals with Jk(a+b-), Jk(a+b+), and Jk(a-b+) expression. The Kidd phenotype was determined for 146 specimens using monoclonal anti-Jk^a and -Jk^b antibodies. From these, 87 specimens were Jk(a-b+), 21 were Jk(a+b-), and 38 were Jk(a+b+). According to the Kidd phenotype results, 20 specimens were randomly selected from each group, i.e., Jk(a-b+), Jk(a+b-), and Jk(a+b+), for the molecular analyses of exons 3 to 11 of the SLC14A1 gene. Novel alleles were detected in the SLC14A1 gene, including IVS3-106A, IVS3-99A, exon3 130G, IVS4-299G, IVS4-293G, IVS4+211C, IVS4 +230C, exon6 499A, exon6 588A, IVS7-68T, IVS9+244G, and IVS10-153T, indicating that the locus harbored significant polymorphism. We also showed that IVS4-299, IVS7-68, and IVS10-153 were novel SNPs absolutely associated with exon 8 nt. 838. The minor allele frequencies were all greater than 10% and all SNPs in the Chinese population showed Vel antigen expression on RBC membranes. We identified 12 SNPs in the SLC14A1 gene in the Chinese population, IVS3-106A, IVS3-99A, exon3 130G, IVS4-299G, IVS4-293G, IVS4+211C, IVS4 +230C, exon6 499A, exon6 588A, IVS7-68T, IVS9+244G, and IVS10-153T. Our results also indicated that three novel SNPs produced Jk^a and Jk^b antigens in Chinese individuals.     

The mRNA of lipin1 and its isoforms are differently expressed in the <Emphasis Type="Italic">longissimus dorsi</Emphasis> muscle of obese and lean pigs

Lipin1 has been documented to play an important role in adipogenesis. In the present study, the mRNA expression level of lipin1 and its isoforms in longissimus dorsi muscle were determined by semi-quantification RT-PCR in lean PIC and obese Rongchang pigs. Further, we determined mRNA expression for lipin1 and its two isoforms in Rongchang obese pigs which had either a high or low intramuscular fat content. We demonstrate for the first time that porcine lipin1 has two alternative forms, lipin-α and lipin-β. Unlike mice and humans where the lipin-β has 99 more nucleotides than lipin-α, we found that in swine, lipin-β has 108 more nucleotides than lipin-α. Our results indicate that the longissimus dorsi muscle of Rongchang obese pigs have a higher level of mRNA expression for lipin1 and its isoforms than PIC lean pigs. Furthermore, Rongchang pigs with higher intramuscular fat content had a higher lipin1 and lipin-β mRNA expression in longissimus dorsisi muscle than Rongchang pigs with lower intramuscular fat content (P < 0.05), whereas no difference was seen in lipin-α mRNA expression between Rongchang pigs with high or low intramuscular fat. The ratio of lipin-β mRNA to lipin-α mRNA was also significantly different between Rongchang pigs distinguished by a high intramuscular fat content compared with those with low intramuscular fat (P < 0.05). These data suggested that the lipin1 gene may have a crucial effect on body lipid accumulation in pigs, whereas the lipin-β isoform may play an important role in intramuscular fat deposition in obese pigs.     

Resistin polymorphisms are associated with muscle, bone, and fat phenotypes in white men and women

Objective: The biological function of resistin (RST) is unknown, although it may have roles in obesity, diabetes, and insulin resistance. The objective of this study was to examine the effects of single nucleotide polymorphisms (SNPs) in the human RST gene on muscle, bone, and adipose tissue phenotypes and in response to resistance training (RT). Research Methods and Procedures: Subjects were white and consisted of strength (n = 482) and size (n = 409) cohorts who had not performed RT in the previous year. Subjects completed 12 weeks of structured, unilateral upper arm RT aimed at increasing the size and strength of the non‐dominant arm, using their dominant arm as an untrained control. Strength measurements were taken pre‐ and post‐12‐week RT and consisted of elbow flexor isometric strength and one‐repetition maximum during a biceps curl using free weights. Whole muscle, subcutaneous fat, and cortical bone volumes were measured by magnetic resonance imaging. Six RST SNPs were identified. Analysis of covariance was used to test for effects of the SNPs on pre‐ and post‐muscle strength and whole muscle, fat, and bone volumes independent of gender, age, and body weight. Results: Five RST SNPs (?537 A>C, ?420 C>G, 398 C>T, 540 G>A, 980 C>G) were associated with measured phenotypes among subjects when stratified by BMI (<25, ≥25 kg/m²). Several gender‐specific associations were observed between RST SNPs and phenotypes among individuals with a BMI ≥ 25. Conversely, only two associations were observed among individuals with a BMI < 25. Discussion: These data support previous identified associations of RST with adipose tissue and demonstrate additional associations with bone and skeletal muscle that warrant further investigation.     

An SNP in the Adiponectin Gene Is Associated with Decreased Serum Adiponectin Levels and Risk for Impaired Glucose Tolerance

Adiponectin is a plasma protein produced by the adipose tissue. Hypoadiponectinemia has been associated with insulin resistance and several components of the metabolic syndrome (MS): type 2 diabetes, obesity, and dyslipidemia. We investigated whether single nucleotide polymorphisms (SNPs) at positions 45 and 276 in the adiponectin gene were associated with features of the MS in 747 unrelated Spanish subjects. The G allele of SNP45 and the G/G genotype of SNP276 were associated with impaired glucose tolerance (p = 0.020 and 0.042, respectively). The G/G genotype for SNP276 was associated with lower serum adiponectin levels as compared with the G/T and T/T genotypes (G/G, 10.10 ± 0.24 μg/mL; G/T, 10.98 ± 0.32 μg/mL; T/T, 12.00 ± 0.92 μg/mL; p = 0.015) even after adjustment for sex, age, BMI, waist‐to‐hip ratio, homeostasis model assessment index, and the degree of glucose tolerance (p = 0.040). We found a significant negative association of circulating adiponectin levels with waist‐to‐hip ratio (r = ?0.42, p < 0.001), sagittal abdominal diameter (r = ?0.24, p < 0.001), triglycerides (r = ?0.32, p < 0.001), homeostasis model assessment index (r = ?0.14, p = 0.001), and uric acid (r = ?0.36, p < 0.001) and positive association with high‐density lipoprotein‐cholesterol (r = 0.41, p < 0.001). Our findings indicate that serum adiponectin levels are associated with several components of the MS. The SNP276 of the adiponectin gene may affect impaired glucose tolerance and hypoadiponectinemia.