Lipoprotein Lipase Overexpression in Skeletal Muscle Attenuates Weight Regain by Potentiating Energy Expenditure.

Moderate weight loss improves numerous risk factors for cardiometabolic disease; however, long-term weight loss maintenance (WLM) is often thwarted by metabolic adaptations that suppress energy expenditure and facilitate weight regain. Skeletal muscle has a prominent role in energy homeostasis; therefore, we investigated the effect of WLM and weight regain on skeletal muscle in rodents. In skeletal muscle of obesity-prone rats, WLM reduced fat oxidative capacity and downregulated genes involved in fat metabolism. Interestingly, even after weight was regained, genes involved in fat metabolism were also reduced. We then subjected mice with skeletal muscle lipoprotein lipase overexpression (mCK-hLPL), which augments fat metabolism, to WLM and weight regain and found that mCK-hLPL attenuates weight regain by potentiating energy expenditure. Irrespective of genotype, weight regain suppressed dietary fat oxidation and downregulated genes involved in fat metabolism in skeletal muscle. However, mCK-hLPL mice oxidized more fat throughout weight regain and had greater expression of genes involved in fat metabolism and lower expression of genes involved in carbohydrate metabolism during WLM and regain. In summary, these results suggest that skeletal muscle fat oxidation is reduced during WLM and regain, and therapies that improve skeletal muscle fat metabolism may attenuate rapid weight regain.

Familial Chylomicronemia Syndrome: A Clinical Guide For Endocrinologists.

OBJECTIVE: Familial chylomicronemia syndrome (FCS) is a rare autosomal recessive disorder caused by mutations in lipoprotein lipase, resulting in accumulation of chylomicrons in plasma and hypertriglyceridemia. Elevated triglycerides cause several complications in patients, the most serious being episodes of acute pancreatitis. This review focuses on expert guidance and opinion from an experienced lipidologist and endocrinologist as well as a current review of the literature, as there are no specific guidelines on FCS. METHODS: Discussion of expert guidance and opinion review of current literature. RESULTS: To date, there is no pharmacologic treatment for affected patients, and management options primarily include adoption of an extremely restricted, very-low-fat diet, along with avoidance of certain medications and alcohol. Endocrinologists often diagnose and manage patients with metabolic disorders, including patients with high triglyceride levels, but rare diseases like FCS can be missed or poorly evaluated due to knowledge gaps about disease state. Given endocrinologists' role in the treatment of lipid disorders, it is important that they understand the clinical signs and symptoms of FCS to correctly diagnose patients. Patients with FCS can be identified based on a defined clinical criteria and a thorough review of medical history, after excluding differential diagnoses and secondary factors. Typical manifestations include hypertriglyceridemia characterized by lipemic serum, history of abdominal pain, and acute/recurrent pancreatitis. Secondary factors to be excluded are pregnancy, alcohol abuse, uncontrolled diabetes, and use of certain medications. CONCLUSION: FCS is a rare, inherited lipid disorder disease that often goes underdiagnosed and unmanaged. This review provides a summary of clinical characteristics of FCS that can be potentially used to screen patients in an endocrinologist's office and direct them to the appropriate standard of care. ABBREVIATIONS: apoB = apolipoprotein B; apoC-III = apolipoprotein CIII; ASO = antisense oligonucleotide; FCS = familial chylomicronemia syndrome; HTG = hypertriglyceridemia; LPL = lipoprotein lipase; LPLD = lipoprotein lipase deficiency.

Isolation and prolonged expansion of oral mesenchymal stem cells under clinical-grade, GMP-compliant conditions differentially affects "stemness" properties.

BACKGROUND: Development of clinical-grade cell preparations is central to meeting the regulatory requirements for cellular therapies under good manufacturing practice-compliant (cGMP) conditions. Since addition of animal serum in culture media may compromise safe and efficient expansion of mesenchymal stem cells (MSCs) for clinical use, this study aimed to investigate the potential of two serum/xeno-free, cGMP culture systems to maintain long-term "stemness" of oral MSCs (dental pulp stem cells (DPSCs) and alveolar bone marrow MSCs (aBMMSCs)), compared to conventional serum-based expansion. METHODS: DPSC and aBMMSC cultures (n = 6/cell type) were established from pulp and alveolar osseous biopsies respectively. Three culture systems were used: StemPro_MSC/SFM_XenoFree (Life Technologies); StemMacs_MSC/XF (Miltenyi Biotek); and α-MEM (Life Technologies) with 15% fetal bovine serum. Growth (population doublings (PDs)), immunophenotypic (flow cytometric analysis of MSC markers) and senescence (ß-galactosidase (SA-ß-gal) activity; telomere length) characteristics were determined during prolonged expansion. Gene expression patterns of osteogenic (ALP, BMP-2), adipogenic (LPL, PPAR-γ) and chondrogenic (ACAN, SOX-9) markers and maintenance of multilineage differentiation potential were determined by real-time PCR. RESULTS: Similar isolation efficiency and stable growth dynamics up to passage 10 were observed for DPSCs under all expansion conditions. aBMMSCs showed lower cumulative PDs compared to DPSCs, and when StemMacs was used substantial delays in cell proliferation were noted after passages 6-7. Serum/xeno-free expansion produced cultures with homogeneous spindle-shaped phenotypes, while serum-based expansion preserved differential heterogeneous characteristics of each MSC population. Prolonged expansion of both MSC types but in particular the serum/xeno-free-expanded aBMMSCs was associated with downregulation of CD146, CD105, Stro-1, SSEA-1 and SSEA-4, but not CD90, CD73 and CD49f, in parallel with an increase of SA-gal-positive cells, cell size and granularity and a decrease in telomere length. Expansion under both serum-free systems resulted in "osteogenic pre-disposition", evidenced by upregulation of osteogenic markers and elimination of chondrogenic and adipogenic markers, while serum-based expansion produced only minor changes. DPSCs retained a diminishing (CCM, StemPro) or increasing (StemMacs) mineralization potential with passaging, while aBMMSCs lost this potential after passages 6-7 under all expansion conditions. CONCLUSIONS: These findings indicate there is still a vacant role for development of qualified protocols for clinical-grade expansion of oral MSCs; a key milestone achievement for translation of research from the bench to clinics.

Optimal choice of word length when comparing two Markov sequences using a χ 2-statistic.

BACKGROUND: Alignment-free sequence comparison using counts of word patterns (grams, k-tuples) has become an active research topic due to the large amount of sequence data from the new sequencing technologies. Genome sequences are frequently modelled by Markov chains and the likelihood ratio test or the corresponding approximate χ 2-statistic has been suggested to compare two sequences. However, it is not known how to best choose the word length k in such studies. RESULTS: We develop an optimal strategy to choose k by maximizing the statistical power of detecting differences between two sequences. Let the orders of the Markov chains for the two sequences be r 1 and r 2, respectively. We show through both simulations and theoretical studies that the optimal k= max(r 1,r 2)+1 for both long sequences and next generation sequencing (NGS) read data. The orders of the Markov chains may be unknown and several methods have been developed to estimate the orders of Markov chains based on both long sequences and NGS reads. We study the power loss of the statistics when the estimated orders are used. It is shown that the power loss is minimal for some of the estimators of the orders of Markov chains. CONCLUSION: Our studies provide guidelines on choosing the optimal word length for the comparison of Markov sequences.

The African diaspora: history, adaptation and health.

The trans-Atlantic slave trade brought millions of Africans to the New World. Advances in genomics are providing novel insights into the history and health of Africans and the diasporan populations. Recent examples reviewed here include the unraveling of substantial hunter-gatherer and 'Eurasian' admixtures across sub-Saharan Africa, expanding our understanding of ancestral African genetics; the global ubiquity of mixed ancestry; the revealing of African ancestry in Latin Americans that likely derived from the slave trade; and understanding of the ancestral backgrounds of APOL1 and LPL found to influence kidney disease and lipid levels, respectively, providing specific insights into disease etiology and health disparities.

Ethnic differences in the association between lipid metabolism genes and lipid levels in black and white South African women.

OBJECTIVE: Dyslipidaemia can lead to the development of atherosclerosis and cardiovascular disease (CVD), however its prevalence has been shown to differ between ethnic groups in South Africa (SA). Therefore the aim of this study was to investigate ethnic differences in the association between serum lipid levels and polymorphisms within genes involved in lipid metabolism in black and white SA women. METHODS: In a convenient sample of 234 white and 209 black SA women of Xhosa ancestry, body composition (DXA) and fasting serum lipids were measured. Participants were genotyped for the cholesteryl ester transfer protein (CETP, rs708272, B1/B2), lipoprotein lipase (LPL, rs328, S/X), hepatic lipase (LIPC, rs1800588, C/T) and proprotein convertase subtilisin/kexin type 9 (PCSK9, rs28362286, C/X) polymorphisms. RESULTS: Compared to white women, black women had lower concentrations of serum total cholesterol (TC, P < 0.001), low density lipoprotein cholesterol (LDL-C, P < 0.001), high density lipoprotein cholesterol (HDL-C, P < 0.001) and triglycerides (TG, P < 0.001). There were significant differences in the genotype and allele frequency distributions between black and white women for the LPL S/X (P < 0.001), PCSK9 C679X (P = 0.002) and LIPC 514C/T (P < 0.001) polymorphisms. In black women only, there were genotype effects on serum lipid levels. Specifically, women with the LPL SX genotype had lower TC and LDL-C and higher HDL-C concentrations than those with the SS genotype and women with the CETP B2 allele had lower LDL-C concentrations than those with the B1B1 genotype. CONCLUSION: Polymorphisms within the LPL and CETP genes were associated with a more protective lipid profile in black, but not white SA women. This supports the hypothesis that the more favorable lipid profile of black compared to white SA women is associated with polymorphisms in lipid metabolism genes, specifically the LPL and CETP genes.

Post-heparin LPL activity measurement using VLDL as a substrate: a new robust method for routine assessment of plasma triglyceride lipolysis defects.

BACKGROUND: Determination of lipoprotein lipase (LPL) activity is important for hyperchylomicronemia diagnosis, but remains both unreliable and cumbersome with current methods. Consequently by using human VLDL as substrate we developed a new LPL assay which does not require sonication, radioactive or fluorescent particles. METHODS: Post-heparin plasma was added to the VLDL substrate prepared by ultracentrifugation of heat inactivated normolipidemic human serums, diluted in buffer, pH 8.15. Following incubation at 37°c, the NEFA (non esterified fatty acids) produced were assayed hourly for 4 hours. LPL activity was expressed as µmol/l/min after subtraction of hepatic lipase (HL) activity, obtained following LPL inhibition with NaCl 1.5 mmol/l. Molecular analysis of LPL, GPIHBP1, APOA5, APOC2, APOE genes was available for 62 patients. RESULTS: Our method was reproducible (coefficient of variation (CV): intra-assay 5.6%, inter-assay 7.1%), and tightly correlated with the conventional radiolabelled triolein emulsion method (n = 26, r = 0.88). Normal values were established at 34.8 ± 12.8 µmol/l/min (mean ± SD) from 20 control subjects. LPL activities obtained from 71 patients with documented history of major hypertriglyceridemia showed a trimodal distribution. Among the 11 patients with a very low LPL activity (<10 µmol/l/min), 5 were homozygous or compound heterozygous for LPL or GPIHBP1 deleterious mutations, 3 were compound heterozygous for APOA5 deleterious mutations and the p.S19W APOA5 susceptibility variant, and 2 were free of any mutations in the usual candidate genes. No homozygous gene alteration in LPL, GPIHBP1 and APOC2 genes was found in any of the patients with LPL activity >10 µmol/l/min. CONCLUSION: This new reproducible method is a valuable tool for routine diagnosis and reliably identifies LPL activity defects.

Genetic, behavioral, and sociodemographic risk factors for second eye progression in age-related macular degeneration.

PURPOSE: This study was conducted to investigate the correlation of genetic, sociodemographic, and behavioral risk factors with second eye progression to end-stage AMD. METHODS: One hundred and eight patients with end-stage AMD in one or both eyes were included in a retrospective time-to-event analysis of the onset of end-stage AMD in the second eye. Multivariate Cox regression survival analysis was performed for sex, age, smoking, body mass index (BMI), education, and 16 single nucleotide polymorphisms (SNPs) associated with AMD. RESULTS: Except for education, all sociodemographic and behavioral risk factors analyzed were significantly associated with a more rapid progression toward second eye involvement. Hazard ratios (HRs) were 2.6 (95% confidence interval [CI], 1.4-5.0) for female sex; 5.0 (95% CI, 2.0-12.5) for age >80; 2.2 (95% CI, 1.1-4.1) for BMI >30; and 4.4 (95% CI, 1.4-14.3) for >40 pack years, compared with the referent groups. Carriers of the lipoprotein lipase (LPL; rs12678919) risk alleles were at risk for more rapid progression to end-stage AMD in the second eye compared with the referent wild-type genotype (HR 2.0; 95% CI, 1.0-3.6). For complement factor I (CFI; rs10033900), homozygous carriers of the risk allele progressed faster than wild-type individuals (HR 2.2; 95% CI, 1.1-4.3). CONCLUSIONS: Sociodemographic, behavioral, and genetic risk factors are associated with the rate of second eye progression toward end-stage AMD. The findings of this study underline the importance of lifestyle factors and the complement pathway in AMD progression and suggest a role of the high-density-lipoprotein metabolism in second eye progression.

Identification of mutations in the lipoprotein lipase (LPL) and apolipoprotein C-II (APOC2) genes using denaturing high performance liquid chromatography (DHPLC).

BACKGROUND: Endothelial lipoprotein lipase (LPL) hydrolyzes triglycerides of chylomicrons and very low density lipoproteins, releasing free fatty acids for local and systemic use. Mutations in the LPL gene or its cofactor APOC2 may result in a decrease or complete loss of enzyme function and subsequently to type I hyperlipoproteinemia. METHODS: We used PCR to amplify all exons and the promoter region of LPL and APOC2. Nine blinded DNA samples with known LPL mutations were used as positive controls. In addition, nine patients from our lipid clinic and twelve healthy subjects were analyzed. DNA was screened for sequence variants by denaturing HPLC (DHPLC) followed by direct sequencing of PCR fragments showing distinct elution profiles. RESULTS: All LPL sequence variants in the positive controls (D9N, V69L, delAACTG386, I225T, N291S, and S447X) were correctly identified. In the remaining patients, additional variants were detected in LPL and APOC2. These variants were also present in healthy subjects, indicating that they constituted silent variation with no relevant effect on plasma triglycerides, at least in the heterozygous state. CONCLUSIONS: A semi-automated DHPLC screening method was developed for the detection of sequence variants in the LPL and APOC2 genes. Our results demonstrate that the method was robust and sensitive.

Lipoprotein lipase: A bioinformatics criterion for assessment of mutations as a risk factor for cardiovascular disease.

Lipoprotein lipase (LPL) is a key enzyme in lipid metabolism. Decrease of the LPL enzymatic activity leads to elevated triglycerides (TG) and reduced high-density lipoprotein (HDL-C levels), both risk factors for cardiovascular disease (CVD). Therefore, mutations, which decrease the LPL activity, may confer susceptibility to CVD. Here, the informational spectrum method (ISM), a virtual spectroscopy method for structure/function analysis of nucleotide and protein sequences, is applied for identification of evolutionary highly conserved information encoded by the primary structure of LPL. It was demonstrated that mutations, which alter the LPL enzymatic activity also alter this information. On the basis of this finding, an efficient and simple bioinformatics criterion for assessment of the pathogenic effect of LPL nonsynonymous single nucleotide substitution as a risk factor of CVD has been proposed.

Genetic polymorphisms: importance for response to HMG-CoA reductase inhibitors.

Coronary artery disease is among the leading causes of death worldwide. Clinical trials show a protective effect of statins against the sequelae of coronary artery disease. The mean risk reductions for subjects using statins compared with placebo found in these trials is about 30%. These are average reductions for all patients included in the trials. Important factors in interpreting the variability in the outcome of drug therapy include the patient's health profile, prognosis, disease severity, quality of drug prescribing, compliance with prescribed pharmacotherapy and the genetic profile of the patient. This review aims to give an overview of the known polymorphisms (Cholesteryl Ester Transfer Protein polymorphism, Stromelysin-1 polymorphism, -455G/A and TaqI polymorphisms of the beta-fibrinogen gene, apoE4, Asp(9)Asn mutation in the lipoprotein lipase gene, the -514 CT polymorphism in the hepatic lipase gene and the ACE deletion type gene) that have an influence on the effects of statins in the general population. The expectation is that in the future a subject's genotype may determine whether he will be treated with statins or not. Determining the genotype will not deny therapy to a subject, but will help in deciding the therapy that will suit the patient best.

Statistical measures of DNA sequence dissimilarity under Markov chain models of base composition.

In molecular biology, the issue of quantifying the similarity between two biological sequences is very important. Past research has shown that word-based search tools are computationally efficient and can find some new functional similarities or dissimilarities invisible to other algorithms like FASTA. Recently, under the independent model of base composition, Wu, Burke, and Davison (1997, Biometrics 53, 1431 1439) characterized a family of word-based dissimilarity measures that defined distance between two sequences by simultaneously comparing the frequencies of all subsequences of n adjacent letters (i.e., n-words) in the two sequences. Specifically, they introduced the use of Mahalanobis distance and standardized Euclidean distance into the study of DNA sequence dissimilarity. They showed that both distances had better sensitivity and selectivity than the commonly used Euclidean distance. The purpose of this article is to extend Mahalanobis and standardized Euclidean distances to Markov chain models of base composition. In addition, a new dissimilarity measure based on Kullback-Leibler discrepancy between frequencies of all n-words in the two sequences is introduced. Applications to real data demonstrate that Kullback-Leibler discrepancy gives a better performance than Euclidean distance. Moreover, under a Markov chain model of order kQ for base composition, where kQ is the estimated order based on the query sequence, standardized Euclidean distance performs very well. Under such a model, it performs as well as Mahalanobis distance and better than Kullback-Leibler discrepancy and Euclidean distance. Since standardized Euclidean distance is drastically faster to compute than Mahalanobis distance, in a usual workstation/PC computing environment, the use of standardized Euclidean distance under the Markov chain model of order kQ of base composition is generally recommended. However, if the user is very concerned with computational efficiency, then the use of Kullback-Leibler discrepancy, which can be computed as fast as Euclidean distance, is recommended. This can significantly enhance the current technology in comparing large datasets of DNA sequences.

Assessment of French patients with LPL deficiency for French Canadian mutations.

Mutations in the LPL gene show high levels of allelic heterogeneity between and within different populations. Complete LPL deficiency has a very high prevalence in French Canadians, where only three missense mutations account for > 97% of cases, most consistent with founder mutations introduced early in Quebec by French immigrants. In order to determine whether these mutations were present in France, 12 unrelated French families with defined LPL deficiency were investigated for the presence of the mutations found in French Canadians. Of the 24 expected alleles, six (25%) represented mutations in French Canadians (Gly188Glu four alleles, Asp250Asn and Pro207Leu one allele each). Comparison of French Canadian and French alleles identified the same haplotype in all carriers of the Gly188Glu and of the Asp250Asn, suggesting a common origin. In contrast, the Pro207Leu occurred on different haplotypes in France and Quebec, compatible with a different ancestral origin.