Presence and dynamics of leptin,GLP‐1, and PYY in human breast milk at early postpartum

Objective: The presence of appetite hormones, namely glucagon‐like peptide‐1 (GLP‐1), peptide YY (PYY), and leptin in breast milk may be important in infant feeding regulation and infant growth. This study evaluated whether concentrations of GLP‐1, PYY, and leptin change across a single feeding (from fore‐ to hindmilk), and are associated with maternal and infant anthropometrics. Design and Methods: Thirteen postpartum women (mean ± SD: 25.6 ± 4.5 years, 72.0 ± 11.9 kg) provided fore‐ and hindmilk samples 4‐5 weeks after delivery and underwent measurements of body weight and composition by Dual X‐ray Absorptiometry. GLP‐1, PYY, and leptin concentrations were measured using radioimmunoassay, and milk fat content was determined by creamatocrit. Results: Concentration of GLP‐1 and content of milk fat was higher in hindmilk than foremilk (P ≤ 0.05). PYY and leptin concentrations did not change between fore‐ and hindmilk. Both leptin concentration and milk fat content were correlated with indices of maternal adiposity, including body mass index (r = 0.65‐0.85, P < 0.02), and fat mass (r = 0.65‐0.84, P < 0.02). Hindmilk GLP‐1 was correlated with infant weight gain from birth to 6 months (r = ?0.67, P = 0.034). Conclusion: The presence of appetite hormones in breast milk may be important in infant appetite and growth regulation.     

The Prevalence and Incidence of Atrial Fibrillation in Patients with Acute Pulmonary Embolism

Background

Symptomatic pulmonary embolism (PE) is a major cause of cardiovascular death and morbidity. Estimated prevalence and incidence of atrial fibrillation (AF) in developed countries are between 388–661 per 100,000, and 90–123 per 100,000 person-years respectively. However, the prevalence and incidence of AF in patients presenting with an acute PE and its predictors are not clear.

Methods

Individual patient clinical details were retrieved from a database containing all confirmed acute PE presentations to a tertiary institution from 2001–2012. Prevalence and incidence of AF was tracked from a population registry by systematically searching for AF during any hospital admission (2000–2013) based on International Classification of Disease (ICD-10) code.

Results

Of the 1,142 patients included in this study, 935 (81.9%) had no AF during index PE admission whilst 207 patients had documented baseline AF (prevalence rate 18,126 per 100,000; age-adjusted 4,672 per 100,000). Of the 935 patients without AF, 126 developed AF post-PE (incidence rate 2,778 per 100,000 person-years; age-adjusted 984 per 100,000 person-years). Mean time from PE to subsequent AF was 3.4 ± 2.9 years. Total mortality (mean follow-up 5.0 ± 3.7 years) was 42% (n = 478): 35% (n = 283), 59% (n = 119) and 60% (n = 76) in the no AF, baseline AF and subsequent AF cohorts respectively. Independent predictors for subsequent AF after acute PE include age (hazard ratio [HR] 1.06, 95% confidence interval [CI] 1.04–1.08, p<0.001), history of congestive cardiac failure (HR 1.88, 95% CI 1.12–3.16, p = 0.02), diabetes (HR 1.72, 95% CI 1.07–2.77, p = 0.02), obstructive sleep apnea (HR 4.83, 1.48–15.8, p = 0.009) and day-1 serum sodium level during index PE admission (HR 0.94, 95% CI 0.90–0.98, p = 0.002).

Conclusions

Patients presenting with acute PE have a markedly increased age-adjusted prevalence and subsequent incidence of AF. Screening for AF may be of importance post-PE.     

Detecting Selection on Temporal and Spatial Scales: A Genomic Time-Series Assessment of Selective Responses to Devil Facial Tumor Disease

Detecting loci under selection is an important task in evolutionary biology. In conservation genetics detecting selection is key to investigating adaptation to the spread of infectious disease. Loci under selection can be detected on a spatial scale, accounting for differences in demographic history among populations, or on a temporal scale, tracing changes in allele frequencies over time. Here we use these two approaches to investigate selective responses to the spread of an infectious cancer—devil facial tumor disease (DFTD)—that since 1996 has ravaged the Tasmanian devil (Sarcophilus harrisii). Using time-series ‘restriction site associated DNA’ (RAD) markers from populations pre- and post DFTD arrival, and DFTD free populations, we infer loci under selection due to DFTD and investigate signatures of selection that are incongruent among methods, populations, and times. The lack of congruence among populations influenced by DFTD with respect to inferred loci under selection, and the direction of that selection, fail to implicate a consistent selective role for DFTD. Instead genetic drift is more likely driving the observed allele frequency changes over time. Our study illustrates the importance of applying methods with different performance optima e.g. accounting for population structure and background selection, and assessing congruence of the results.     

Generation of chemically induced mutations using in vitro propagated shoot tip tissues for genetic improvement of fruit trees

Mutagenesis via treatment of seeds with chemical mutagens such as ethyl methanesulfonate (EMS) has been widely used for crop improvement. However, this approach is not suitable for some crop species such as clonally propagated crops and allogamous perennial plants characteristically with high levels of genome heterozygosity and a long life cycle. Here, we report direct treatment of in vitro-induced peach shoot tip tissues with EMS for generation of mutations in peach, a perennial, woody fruit tree. We optimized EMS dosage and exposure time and found that treatment of the explants with 0.2 % EMS for 16 h was optimal for generation of genetic variations. So far we have generated nearly 2000 peach seedlings. Typical EMS-induced phenotypic variations were present in the seedlings. Next generation sequencing and subsequent data analyses were performed to monitor the efficiency of mutagenesis. The mutation rate was estimated to be one mutation per 150 kilobase pairs in the mutagenized population, suggesting effectiveness of this method in inducing mutagenesis in peach. Taken together, our data open an avenue for the generation of mutant populations suitable for crop improvement in allogamous perennial plants including fruit trees and clonally propagated plants.

     

Natural Progression of Canine Glycogen Storage Disease Type IIIa

Glycogen storage disease type IIIa (GSD IIIa) is caused by a deficiency of glycogen debranching enzyme activity. Hepatomegaly, muscle degeneration, and hypoglycemia occur in human patients at an early age. Long-term complications include liver cirrhosis, hepatic adenomas, and generalized myopathy. A naturally occurring canine model of GSD IIIa that mimics the human disease has been described, with progressive liver disease and skeletal muscle damage likely due to excess glycogen deposition. In the current study, long-term follow-up of previously described GSD IIIa dogs until 32 mo of age (n = 4) and of family-owned GSD IIIa dogs until 11 to 12 y of age (n = 2) revealed that elevated concentrations of liver and muscle enzyme (AST, ALT, ALP, and creatine phosphokinase) decreased over time, consistent with hepatic cirrhosis and muscle fibrosis. Glycogen deposition in many skeletal muscles; the tongue, diaphragm, and heart; and the phrenic and sciatic nerves occurred also. Furthermore, the urinary biomarker Glc₄, which has been described in many types of GSD, was first elevated and then decreased later in life. This urinary biomarker demonstrated a similar trend as AST and ALT in GSD IIIa dogs, indicating that Glc₄ might be a less invasive biomarker of hepatocellular disease. Finally, the current study further demonstrates that the canine GSD IIIa model adheres to the clinical course in human patients with this disorder and is an appropriate model for developing novel therapies.Abbreviations: CCR, curly-coated retriever; CPK, creatine phosphokinase; GSD IIIa, glycogen storage disease type IIIa; Glc₄, Glcα1-6Glcα1-4Glcα1-4GlcGlycogen storage disease type IIIa (GSD IIIa; OMIM, 232400) is an autosomal recessive disorder caused by mutations in the glycogen debranching enzyme gene (AGL), leading to various clinical signs. The tissues mainly affected are liver, heart, and skeletal muscle. Clinical manifestations include hypoglycemia, elevated serum concentrations of liver and muscle enzymes, hepatomegaly, growth retardation, muscle weakness, cardiac hypertrophy with arrhythmia risk, polycystic ovaries and neuropathy.^15,17,29 Current treatments are mainly symptomatic and are not curative. The most frequently used therapies are dietary, such as providing uncooked corn starch to prevent hypoglycemia at young ages and high-protein diets, which have been shown to reverse the extent of cardiomyopathy associated with GSD IIIa.^7,8,30,37 In addition, the use of medium-chain triglycerides has shown positive therapeutic effects in patients with GSD Ia and GSD IIIa.^11,22 However, dietary therapies do not prevent the long-term complications of GSD IIIa, including hepatic cirrhosis, hepatocellular adenoma, hepatocellular carcinoma, cardiomyopathy, neuropathy, and myopathy.³¹An appropriate animal model is necessary to test novel therapies and address the long-term effects of GSD IIIa. Recently a mouse model for GSD III has been described that may prove beneficial in testing new therapies.¹⁹ However, the limitations of mouse models include a short lifespan that curtails the study of the long-term effects of novel treatments. In addition, a large animal model often mimics human disease more closely than do mouse models, as occurs in GSD type Ia dog models, which exhibit lactic acidosis similar to human patients, a characteristic that mouse models of GSD Ia lack.¹⁶ Therefore a naturally occurring large animal model for GSD IIIa may be more effective in terms of the development of new treatments than are available mouse models.GSD IIIa (OMIA, 001577) has been reported to occur in curly-coated retriever dogs (CCR) and is caused by a naturally occurring homozygous frameshift mutation in exon 32 that leads to the deletion of 126 amino acids at the C-terminus of glycogen debranching enzyme.^12,40 The dogs in these previous studies proved to have abnormalities similar to those seen in humans affected with the disorder, namely progressive glycogen accumulation in muscle and liver, elevated liver and muscle enzymes (ALP, AST, creatine phosphokinase [CPK], and ALT), and eventual liver fibrosis. However, these animals were not followed beyond 16 mo of age in the earlier studies.^12,40 The goal of the current study is to provide biochemical follow-up on these animals and analyze more extensively other tissues and organs involved in GSD IIIa in the dog model. A brief analysis of the naturally high protein diets of GSD IIIa dogs, as well as the effects of an increased protein diet in 2 dogs for the last few months of life, is included.We also include the analysis of a urinary biomarker, Glcα1–6Glcα1– 4Glcα1–4Glc (Glc₄), which is a breakdown product of glycogen by α-amylase and neutral α-1,4-glucosidase.³² Elevated levels of Glc₄ have been found in urine from patients with GSD types II, III, IV, VI, and IX and may correlate with disease advancement.^1,18,24,32 To our knowledge, Glc₄ has not been evaluated previously in dogs; we therefore here evaluated the utility of Glc₄ as a biomarker of canine GSD IIIa. A correlation of Glc₄ levels with liver enzyme concentrations in blood might indicate a role of Glc₄ as a less-invasive biomarker for determining the advancement of liver disease in human and canine patients.     

Downregulation of CENPF Remodels Prostate Cancer Cells and Alters Cellular Metabolism

Metabolic alterations in prostate cancer (PC) are associated with progression and aggressiveness. However, the underlying mechanisms behind PC metabolic functions are unknown. The authors’ group recently reported on the important role of centromere protein F (CENPF), a protein associated with the centromere–kinetochore complex and chromosomal segregation during mitosis, in PC MRI visibility. This study focuses on discerning the role of CENPF in metabolic perturbation in human PC3 cells. A series of bioinformatics analyses shows that CENPF is one gene that is strongly associated with aggressive PC and that its expression is positively correlated with metastasis. By identifying and reconstructing the CENPF network, additional associations with lipid regulation are found. Further untargeted metabolomics analysis using gas chromatography‐time‐of‐flight‐mass spectrometry reveals that silencing of CENPF alters the global metabolic profiles of PC cells and inhibits cell proliferation, which suggests that CENPF may be a critical regulator of PC metabolism. These findings provide useful scientific insights that can be applied in future studies investigating potential targets for PC treatment.     

Physiological model using diffuse reflectance spectroscopy for nonmelanoma skin cancer diagnosis

Diffuse reflectance spectroscopy (DRS) is a noninvasive, fast, and low‐cost technology with potential to assist cancer diagnosis. The goal of this study was to test the capability of our physiological model, a computational Monte Carlo lookup table inverse model, for nonmelanoma skin cancer diagnosis. We applied this model on a clinical DRS dataset to extract scattering parameters, blood volume fraction, oxygen saturation and vessel radius. We found that the model was able to capture physiological information relevant to skin cancer. We used the extracted parameters to classify (basal cell carcinoma [BCC], squamous cell carcinoma [SCC]) vs actinic keratosis (AK) and (BCC, SCC, AK) vs normal. The area under the receiver operating characteristic curve achieved by the classifiers trained on the parameters extracted using the physiological model is comparable to that of classifiers trained on features extracted via Principal Component Analysis. Our findings suggest that DRS can reveal physiologic characteristics of skin and this physiologic model offers greater flexibility for diagnosing skin cancer than a pure statistical analysis. Physiological parameters extracted from diffuse reflectance spectra data for nonmelanoma skin cancer diagnosis.     

Nest attendance by tropical and temperate passerine birds: Same constancy,different strategy

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