Clinical relevance of glycerophospholipid,sphingomyelin and glutathione metabolism in the pathogenesis of pharyngolaryngeal cancer in smokers: the Korean Cancer Prevention Study-II

Introduction

Although smoking is a major risk factor for pharyngolaryngeal cancer, most smokers do not develop pharyngolaryngeal cancer.

Objectives

In the prospective Korean Cancer Prevention Study-II (KCPS-II), we investigated the application of metabolomics to differentiate smokers with incident pharyngolaryngeal cancer (pharyngolaryngeal cancer group) from smokers who remained free from cancer (controls) during a mean follow-up period of 7 years and aimed to discover valuable early biomarkers of pharyngolaryngeal cancer.

Methods

We used baseline serum samples from 30 smoking men with incident pharyngolaryngeal cancer and 59 age-matched cancer-free smoking men. Metabolic alterations associated with the incidence of pharyngolaryngeal cancer were investigated by performing metabolomics on baseline serum samples using ultra-performance liquid chromatography-linear-trap quadrupole-Orbitrap mass spectrometry.

Results

Compared to the control group, the pharyngolaryngeal cancer group showed significantly higher oxidized LDL levels. Seventeen metabolites were differentially abundant between the two groups. At baseline, compared to controls, smokers with incident pharyngolaryngeal cancer during follow-up showed significantly higher levels of pyroglutamic acid (glutathione metabolism) but lower levels of lysophosphatidylcholines (lysoPCs) C14:0, C15:0, C16:0, C17:0, C18:0, and C20:5; glycerophosphocholine; PC C36:5; lysoPEs C16:0, C20:1, and C22:0 (glycerophospholipid metabolism); SM (d18:0/16:1); and SM (d18:1/18:1) (sphingomyelin metabolism). Furthermore, smokers with incident pharyngolaryngeal cancer showed significantly higher levels of oleamide and lower levels of tryptophan and linoleyl carnitine at baseline than cancer-free smokers.

Conclusion

This prospective study showed the clinical relevance of dysregulated metabolism of glutathione, glycerophospholipids and sphingolipids to the pathogenesis of pharyngolaryngeal cancer among smokers. These data suggest that the dysregulation of these metabolic processes may be a key mechanism underlying pharyngolaryngeal cancer progression and development.

     

Fatty acids increase the circulating levels of oxidative stress factors in mice with diet-induced obesity via redox changes of albumin

Plasma concentrations of free fatty acids are increased in metabolic syndrome, and the increased fatty acids may cause cellular damage via the induction of oxidative stress. The present study was designed to determine whether the increase in fatty acids can modify the free sulfhydryl group in position 34 of albumin (Cys34) and enhance the redox-cycling activity of the copper-albumin complex in high-fat diet-induced obese mice. The mice were fed with commercial normal diet or high-fat diet and water ad libitum for 3 months. The high-fat diet-fed mice developed obesity, hyperlipemia, and hyperglycemia. The plasma fatty acid/albumin ratio also significantly increased in high-fat diet-fed mice. The increased fatty acid/albumin ratio was associated with conformational changes in albumin and the oxidation of sulfhydryl groups. Moreover, an ascorbic acid radical, an index of redox-cycling activity of the copper-albumin complex, was detected only in the plasma from obese mice, whereas the plasma concentrations of ascorbic acid were not altered. Plasma thiobarbituric acid reactive substances were significantly increased in the high-fat diet group. These results indicate that the increased plasma fatty acids in the high-fat diet group resulted in the activated redox cycling of the copper-albumin complex and excessive lipid peroxidation.     

The Glocal Forest

Spatial ecological patterns reflect the underlying processes that shape the structure of species and communities. Mechanisms like intra- and inter-specific competition, dispersal and host-pathogen interactions can act over a wide range of scales. Yet, the inference of such processes from patterns is a challenging task. Here we call attention to a quite unexpected phenomenon in the extensively studied tropical forest at the Barro-Colorado Island (BCI): the spatial deployment of (almost) all tree species is statistically equivalent, once distances are normalized by ℓ₀, the typical distance between neighboring conspecific trees. Correlation function, cluster statistics and nearest-neighbor distance distribution become species-independent after this rescaling. Global observables (species frequencies) and local spatial structure appear to be interrelated. This "glocality" suggests a radical interpretation of recent experiments that show a correlation between species'' abundance and the negative feedback among conspecifics. For the forest to be glocal, the negative feedback must govern spatial patterns over all scales.     

Present state and possibilities for improvement of cancer prevention and early detection in the Osijek-Baranya county

Cancer morbidity and mortality are on a steady increase in Croatia. Technologic possibilities for appropriate management are available for four cancer sites, i.e. cancer of the breast, cervix uteri, colorectum and prostate, and include cancer prevention and early detection in individuals yet free from manifest signs of the disease. The magnitude of the problem, the experience acquired to date, health care personnel available, and additional resources required to launch a systematic program of early detection of the disease are presented. The program should be initially launched in a county with greatest experience in early detection of cancer, where health care service is ready to immediately start its implementation. The role of family physician, gynecologic service at primary health care level, and polyclinic-consultation hospital service in program implementation is described. The following three possible options for early detection of cancer are analyzed and proposed: minimal program (early detection every 3 years), medium program (the same individuals examined every 2 years), and optimal program proposed by the American Cancer Society and other national and international organizations.     

An Inquiry Safari: What Can We Learn From Skulls?

In this article, we describe an 8- to 10-day inquiry safari designed for middle/high school students to investigate hominid evolution using replica skulls of extant and extinct vertebrates. Students begin the unit using their own skulls and proceed to use the replica skulls of extant vertebrates to construct an understanding of how skulls can be used to interpret and infer diets, dentition, dental formulae, bipedal or quadrupedal locomotion, and the social structure of animals. They are then able to use this knowledge to construct similar inferences for extinct fossil hominids. Using radiometric dating data, the students develop possible phylogenetic pathways for hominid evolution. The lessons promote the use of inquiry skills including journaling, observing, drawing, puzzle-making, using taxonomic keys, and investigating into deep geological time.     

Charles Bonnet Syndrome: Evidence for a Generative Model in the Cortex?

Several theories propose that the cortex implements an internal model to explain, predict, and learn about sensory data, but the nature of this model is unclear. One condition that could be highly informative here is Charles Bonnet syndrome (CBS), where loss of vision leads to complex, vivid visual hallucinations of objects, people, and whole scenes. CBS could be taken as indication that there is a generative model in the brain, specifically one that can synthesise rich, consistent visual representations even in the absence of actual visual input. The processes that lead to CBS are poorly understood. Here, we argue that a model recently introduced in machine learning, the deep Boltzmann machine (DBM), could capture the relevant aspects of (hypothetical) generative processing in the cortex. The DBM carries both the semantics of a probabilistic generative model and of a neural network. The latter allows us to model a concrete neural mechanism that could underlie CBS, namely, homeostatic regulation of neuronal activity. We show that homeostatic plasticity could serve to make the learnt internal model robust against e.g. degradation of sensory input, but overcompensate in the case of CBS, leading to hallucinations. We demonstrate how a wide range of features of CBS can be explained in the model and suggest a potential role for the neuromodulator acetylcholine. This work constitutes the first concrete computational model of CBS and the first application of the DBM as a model in computational neuroscience. Our results lend further credence to the hypothesis of a generative model in the brain.