Disorders of the Menstrual Cycle in Elite Female Ice Hockey Players and Figure Skaters

The purpose of this study was to assess and compare the incidence of delayed menarche and menstrual dysfunction among elite ice hockey players and figure skaters. Forty-three ice hockey players (23.5 ± 4.8 years, 68.2 ± 1.2 kg, 1.68 ± 0.01 m) and 39 figure skaters (17.5 ± 3.4 years, 53.7 ± 5.8 kg, 1.64 ± 0.05 m) completed a self-administered questionnaire on their menstrual status and history, training regimens and lifestyle. Age at menarche did not differ significantly between ice hockey players (13.3 ± 1.3 years) and figure skaters (13.7 ± 1.4 years). Menarche was unrelated to nationality, vigorous training premenarche or age at which the athlete began her sport, but was correlated with the age at menarche of the athletes’ mothers (r = 0.39, p < 0.05). Hormonal contraceptives were used by 35% of ice hockey players and 15% of the figure skaters. Amenorrhea and oligomenorrhea were experienced by 7.1% and 38.7% of postmenarcheal, ice hockey players and figure skaters respectively not using hormonal contraceptives. Menstrual dysfunction was associated with both age and age at menarche in the ice hockey players only. Training factors, and psychological pressure were perceived by the athletes to contribute to menstrual dysfunction. A greater training volume, younger age at commencing sport, lower body mass, greater subjective body image pressure and younger biological and gynaecological age were reported among the figure skaters, and were proposed to explain the higher incidence of menstrual dysfunction among the figure skaters compared with the ice hockey players. Figure skaters appear at increased risk of amenorrhea and oligomenorrhea compared with ice hockey players, which may be linked to training and physical characteristics of the sports.     

Chloroplast Development in the Chloroplast Ribosome Deficient Mutant (y-1 ac-20) of Chlamydomonas reinhardtii

To study the participation of chloroplast protein synthesisduring the three phases [Matsuda (1974) Biochim. Biophys. Acta366:45] of the greening process in Chlamydomonas reinhardtiiy-1, the greening characteristics in the low-chloroplast ribosomemutant y-1 ac-20 were compared with those in the y-1. In thedouble mutant cells Chl synthesis proceeded with an extendedlag and without a second transition point. The development ofpotential for rapid Chl synthesis (P-factor formation) was alsodelayed. Furthermore, PS I activity increased significantly,whereas PS II activity developed very little during greeningof the double mutant cells. The results indicate that greeningin double mutant cells occurs with no apparent late phase. (Received November 26, 1984; Accepted February 25, 1985)     

Identification of cancer hallmark‐associated gene and lncRNA cooperative regulation pairs and dictate lncRNA roles in oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) is the most common malignant tumour in the oral and maxillofacial region. Numerous cancers share ten common traits (“hallmarks”) that govern the transformation of normal cells into cancer cells. Long non‐coding RNAs (lncRNAs) are important factors that contribute to tumorigenesis. However, very little is known about the cooperative relationships between lncRNAs and cancer hallmark‐associated genes in OSCC. Through integrative analysis of cancer hallmarks, somatic mutations, copy number variants (CNVs) and expression, some OSCC‐specific cancer hallmark‐associated genes and lncRNAs are identified. A computational framework to identify gene and lncRNA cooperative regulation pairs (GLCRPs) associated with different cancer hallmarks is developed based on the co‐expression and co‐occurrence of mutations. The distinct and common features of ten cancer hallmarks based on GLCRPs are characterized in OSCC. Cancer hallmark insensitivity to antigrowth signals and self‐sufficiency in growth signals are shared by most GLCRPs in OSCC. Some key GLCRPs participate in many cancer hallmarks in OSCC. Cancer hallmark‐associated GLCRP networks have complex patterns and specific functions in OSCC. Specially, some key GLCRPs are associated with the prognosis of OSCC patients. In summary, we generate a comprehensive landscape of cancer hallmark‐associated GLCRPs that can act as a starting point for future functional explorations, the identification of biomarkers and lncRNA‐based targeted therapy in OSCC.     

Arthropod community composition along snowmelt gradients in snowbeds in the Snowy Mountains of south‐eastern Australia

Environmental gradients drive variation in community composition across a range of spatial scales. In alpine regions, areas of long‐lasting snow (‘snow patches’) create snowmelt gradients that drive considerable change in vegetation structure and composition over small spatial scales. This study examined whether there is parallel variation in arthropod communities using snowmelt gradients in the Australian Alps. Mites (Acarina) were the most common arthropods in snow patches, followed by springtails while, among the insects, the orders Hymenoptera (primarily Formicidae), Diptera, Coleoptera (primarily Carabidae) and Hemiptera (primarily Cicadellidae) dominated. Along the snowmelt gradient, arthropod assemblages changed from having equal proportions of predators and herbivores in early‐melting zones to being predator‐dominated in late‐melting zones, particularly early in the growing season. This followed a transition in vegetation cover and composition and was driven by higher numbers of predacious carabid beetles in later‐melting zones. Overall, however, our results suggest that snowbed arthropod communities in the Australian alpine zone are more sensitive to short‐term effects, such as time since snowmelt, than to differences in vegetation structure and composition or long‐term patterns of snowmelt. Continued advancement of snowmelt timing due to warmer spring temperatures is therefore likely to have more impact on the seasonality of snowbed arthropod communities than on the overall community composition.     

Late Quaternary Environmental and Human Impacts on the Mitochondrial DNA Diversity of Four Commensal Rodents in Myanmar

Journal of Mammalian Evolution - We addressed the spatiotemporal characteristics of four commensal rodent species occurring in Myanmar in comparison with other areas of the Indo-Malayan region. We...     

Effect of photoperiod on winter and summer diapause of the soybean pod borer Leguminivora glycinivorella (Lepidoptera: Tortricidae)

To understand the geographical differences between diapause systems and synchronization of adult occurrence in the soybean pod borer Leguminivora glycinivorella (Lepidoptera: Tortricidae), we examined the timing of winter diapause termination and intensity of summer diapause using univoltine and potentially bivoltine individuals in Iwate, Japan. In laboratory rearing experiments of mature larvae maintained at constant temperature (20 °C), winter diapause intensity weakened by January without photoperiodic responses. Meanwhile, summer diapause was maintained by the long day length and presumably terminated with the photoperiodic transition from long to short day length. The intensity of summer diapause was stronger for cocoons that transitioned from a 16 h light to 8 h dark (LD 16:8) to a LD 15:9 photoperiod than for those that transitioned from LD 15:9 to LD 14:10. These results suggest that populations distributed in relatively low-latitude areas, with partly or potentially bivoltine individuals, would have a weaker summer diapause or none at all. Moreover, sexual differences in the number of days to emergence were not detected when individuals experienced a photoperiodic transition from long to short day length, suggesting that the summer diapause system may function to synchronize the emergence of males and females in the population examined.     

Mass Isotopomer Analysis of Metabolically Labeled Nucleotide Sugars and N- and O-Glycans for Tracing Nucleotide Sugar Metabolisms

Nucleotide sugars are the donor substrates of various glycosyltransferases, and an important building block in N- and O-glycan biosynthesis. Their intercellular concentrations are regulated by cellular metabolic states including diseases such as cancer and diabetes. To investigate the fate of UDP-GlcNAc, we developed a tracing method for UDP-GlcNAc synthesis and use, and GlcNAc utilization using ¹³C₆-glucose and ¹³C₂-glucosamine, respectively, followed by the analysis of mass isotopomers using LC-MS.Metabolic labeling of cultured cells with ¹³C₆-glucose and the analysis of isotopomers of UDP-HexNAc (UDP-GlcNAc plus UDP-GalNAc) and CMP-NeuAc revealed the relative contributions of metabolic pathways leading to UDP-GlcNAc synthesis and use. In pancreatic insulinoma cells, the labeling efficiency of a ¹³C₆-glucose motif in CMP-NeuAc was lower compared with that in hepatoma cells.Using ¹³C₂-glucosamine, the diversity of the labeling efficiency was observed in each sugar residue of N- and O-glycans on the basis of isotopomer analysis. In the insulinoma cells, the low labeling efficiencies were found for sialic acids as well as tri- and tetra-sialo N-glycans, whereas asialo N-glycans were found to be abundant. Essentially no significant difference in secreted hyaluronic acids was found among hepatoma and insulinoma cell lines. This indicates that metabolic flows are responsible for the low sialylation in the insulinoma cells. Our strategy should be useful for systematically tracing each stage of cellular GlcNAc metabolism.Protein glycosylation, which is the most abundant post-translational modification, has important roles in many biological processes by modulating conformation and stability, whereas its dysregulation is associated with various diseases such as diabetes and cancer (1, 2). Glycosylation is regulated by various factors including glucose metabolism, the availability and localization of nucleotide sugars, and the expression and localization of glycosyltransferases (3, 4). Thus, ideally all of these components should be considered when detecting changes in a dynamic fashion; namely, it is necessary not only to take a snapshot but also to make movies of the dynamic changes in glycan metabolism.Glucose is used by living cells as an energy source via the glycolytic pathway as well as a carbon source for various metabolites including nucleotide sugars (e.g. UDP-GlcNAc and CMP-NeuAc). These nucleotide sugars are transported into the Golgi apparatus, and added to various glycans on proteins. UDP-GlcNAc is the donor substrate for N-acetylglucosaminyl (GlcNAc)¹ transferases; alternatively, it is used in the cytosol for O-GlcNAc modification (i.e. O-GlcNAcylation) of intracellular proteins (5). The UDP-GlcNAc synthetic pathway is complex as it is a converging point of glucose, nucleotide, fatty acid and amino acid metabolic pathways. Thus, the metabolic flow of glucose modulates the branching patterns of N-glycans via UDP-GlcNAc concentrations because many of the key GlcNAc transferases that determine the branching patterns have widely different K_m values for UDP-GlcNAc ranging from 0.04 mm to 11 mm (6, 7). Indeed, it was demonstrated that the branching formation of N-glycans in T cells is stimulated by the supply from the hexosamine pathway, whereby it regulates autoimmune reactions promoted by T cells (8).UDP-GlcNAc is also used for the synthesis of CMP-NeuAc, the donor substrate for sialyltransferases (9). The CMP-NeuAc concentration is controlled by the feedback inhibition of UDP-GlcNAc epimerase/ManNAc kinase by the final product CMP-NeuAc, and hence a high CMP-NeuAc level reduces metabolic flow in CMP-NeuAc de novo synthesis (10). However, there is still only limited information about how the levels of nucleotide sugars dynamically change in response to the environmental cues, and how such changes are reflected in the glycosylation of proteins.Stable isotope labeling is a promising approach to quantify metabolic changes in response to external cues (11, 12). For example, the use of nuclear magnetic resonance to obtain isotopomer signals of metabolically labeled molecules has been applied to trace the flux in glycolysis and fatty acid metabolism (13). An approach based on the mass isotopomers of labeled metabolites with ¹³C₆-glucose has been developed to monitor the UDP-GlcNAc synthetic pathway (13–15). The method based on the labeling ratio of each metabolite related to UDP-GlcNAc synthesis has clarified the contribution of each metabolic pathway (14). Moseley reported a novel deconvolution method for modeling UDP-GlcNAc mass isotopomers (15).Previous studies into the use of nucleotide sugars in glycosylation have relied on the specific detection of metabolically radiolabeled glycans (16). It is possible not only to deduce the glycan structures but also to trace their relative contributions to glycan synthesis without MS. On the other hand, mass isotopomer analysis of glycans labeled with stable isotope provides the ratios of labeled versus unlabeled molecules from MS spectra and structural details of the glycans. However, there are only a limited number of publications reporting the application of stable isotope labeling of glycans for monitoring the dynamics of glycans (17). To date, there have been no reports describing a systematic method for tracing cellular GlcNAc biosynthesis and use based on mass isotopomer analysis.The aim of this study was to extend our knowledge of the synthesis and metabolism of UDP-GlcNAc as well as its use in the synthesis of CMP-NeuAc, N- and O-glycans. We recently developed a conventional HPLC method for simultaneous determination of nucleotide sugars including unstable CMP-NeuAc (18). We first established an LC-MS method for isotopomer analysis of ¹³C₆-glucose labeled nucleotide sugars for tracing UDP-GlcNAc metabolism from synthesis to use, because previous methods were not suitable for estimating UDP-GlcNAc use in CMP-NeuAc de novo synthesis (15). We also established a method for isotopomer analysis of labeled N- and O-glycan to monitor the metabolic flow of hexosamine into glycans. Using these two methods, we demonstrated the differences in the use of hexosamines between hepatoma and pancreatic insulinoma cell lines. Our approach may be useful for identifying a metabolic “bottleneck” that governs the turnover speed and patterns of cellular glycosylation, which may be relevant for various applications including glycoprotein engineering and discovery of disease biomarkers.