Quantitative in vivo nuclear magnetic resonance studies of hybridoma metabolism

Carbon-13 nuclear magnetic resonance (NMR) spectroscopy was used to study the metabolism of a murine hybridoma cell line at two feed glutamine concentrations, 4.0 and 1.7 mM. Carbon-13 labeling patterns were used in conjunction with nutrient uptake rates to calculate the metabolic fluxes through the glycolytic pathway, the pentose shunt, the malate shunt, lipid biosynthesis, and the tricarboxylic acid (TCA) cycle. Decreasing the feed glutamine concentration significantly decreased glutamine uptake but had little effect on glucose metabolism. A significant incrase in antibody productivity occurred upon decreasing the feed glutamine level. The increased antibody productivity in concert with decreased glutamine uptake and no apparent change in glucolytic metabolism suggests that antibody production was not energy limited. Metabolic flux calculations indicate that (1) approximately 92% of the glucose consumed proceeds directly through glycolysis with 8% channeled through the pentose shunt; (2) lipid biosynthesis appears to be greater than malate shunt activity; and (3) considerable exchange occurs between TCA cycle intermediates and amino acid metabolic pools, leading to substantial loss of (13)C label from the TCA cycle. These results illustrate that (13)NMR spectroscopy is a powerfulf tool in the calculation of metabolic fluxes, particularly for exchange pathways where no net flux occurs. (c) 1994 John Wiley & Sons, Inc.     

mtDNA diversity in rhesus monkeys reveals overestimates of divergence time and paraphyly with neighboring species

Reconstructions of the human-African great ape phylogeny by using mitochondrial DNA (mtDNA) have been subject to considerable debate. One confounding factor may be the lack of data on intraspecific variation. To test this hypothesis, we examined the effect of intraspecific mtDNA diversity on the phylogenetic reconstruction of another Plio- Pleistocene radiation of higher primates, the fascicularis group of macaque (Macaca) monkey species. Fifteen endonucleases were used to identify 10 haplotypes of 40-47 restriction sites in M. mulatta, which were compared with similar data for the other members of this species group. Interpopulational, intraspecific mtDNA diversity was large (0.5%- 4.5%), and estimates of divergence time and branching order incorporating this variation were substantially different from those based on single representatives of each species. We conclude that intraspecific mtDNA diversity is substantial in at least some primate species. Consequently, without prior information on the extent of genetic diversity within a particular species, intraspecific variation must be assessed and accounted for when reconstructing primate phylogenies. Further, we question the reliability of hominoid mtDNA phylogenies, based as they are on one or a few representatives of each species, in an already depauperate superfamily of primates.      

Synthesis and biological activity of tripeptide FR113680 analogues containing unconventional amino acids

In order to further develop structure–activity relationships and to get information about the biological active conformations we synthetized analogues tripeptide to the FR 113680 [Ac- Thr-D -Trp(CHO)-PheNMeBzl; Ac: acethyl], in which the phenylalanine residue was replaced by unconventional amino acids [1,2,3,4-tetrahydroisoquinoline-3-carboxylic acid (Tic); (3aS, 7aS)-octahydroindole-2-carboxylic acid (Oic); (S,S,S)-2-azabiciclo[3.3.0]octane-3-carboxylic acid (Aoc); 3-(1′-naphthyl) alanine (Nap) phenylglicine (Phg); thienylalanine (Thi)]. The biological activity of the peptides was performed on guinea pig ileumfar neurokinin 1 (NK-1) and on rat colon for neurokinin 2 (NK-2). In particular, the replacement of the Phe³ by the Oic ( 8 _a) gave an higher antagonist activity in both NK-1 and NK-2 receptors, but no improvement in selectivity with respect to reference tripeptide (FR113680) The compound ( 8 _a) represent the first example of highly potent peptides that do not contain an aromatic mi no acid of the third position as had been previously considered essential. © 1995 John Wiley & Sons, Inc.     

Functional impairment of rat Kupffer cells induced by aflatoxin B1 and its metabolites

Abstract Contamination of food with mycotoxins is a major health problem. Impairment of several immune functions has been repeatedly reported in animals fed with contaminated fodder. Since the liver is a major target of toxicity by aflatoxins, the effects of aflatoxins B1, and its hepatic metabolites Q₁ and M₁ on Kupffer cell function was investigated in vitro. Aflatoxin B₁ induced significant ( P < 0.05) inhibition of phagocytosis, intracellular killing of Candida albicans , and intrinsic anti-Herpes virus activity at concentrations as low as 0.01 pg ml⁻¹. Aflatoxin Q₁ and M₁ had similar effects on phagocytosis and microbicidal activity, but were two- to ten-fold less potent than aflatoxin B₁.     

Anomalie Anatomiche NEL Legno DI Rami DI Ciliegio Sottoposti a Defogliazione

Summary

The Author studies the secondary wood in a Cherry tree «Regina del Mercato» and describes several degenerative factures in the wood elements.

The author concludes that there is a close relation between number and development of the leaves and differentiation of secondary wood elements.     

Associations of testosterone and sex hormone binding globulin with adipose tissue hormones in midlife women

Objective:

Regulators of adipose tissue hormones remain incompletely understood, but may include sex hormones. As adipose tissue hormones have been shown to contribute to numerous metabolic and cardiovascular disorders, understanding their regulation in midlife women is of clinical importance. Therefore, we assessed the associations between testosterone (T) and sex hormone binding globulin (SHBG) with leptin, high molecular weight (HMW) adiponectin, and the soluble form of the leptin receptor (sOB‐R) in healthy midlife women.

Design and Methods:

Cross‐sectional analyses were performed using data from 1,881 midlife women (average age 52.6 (±2.7) years) attending the sixth Annual follow‐up visit of the multiethnic Study of Women's Health Across the Nation.

Results:

T was weakly negatively associated with both HMW adiponectin and sOB‐R (r = ?0.12 and r = ?0.10, respectively; P < 0.001 for both), and positively associated with leptin (r = 0.17; P < 0.001). SHBG was more strongly and positively associated with both HMW adiponectin and sOB‐R (r = 0.29 and r = 0.24, respectively; P < 0.001 for both), and more strongly and negatively associated with leptin (r = ?0.27; P < 0.001). Adjustment for fat mass, insulin resistance, or waist circumference only partially diminished associations with HMW adiponectin and sOB‐R, but attenuated associations with leptin. In conclusion, in these midlife women, lower SHBG values, and to a lesser extent, higher T levels, were associated with lower, or less favorable, levels of adiponectin and sOB‐R, independent of fat mass.

Conclusions:

These data suggest that variation in these adipose hormones resulting from lower SHBG levels, and possibly, though less likely, greater androgenicity, may contribute to susceptibility for metabolic and cardiovascular outcomes during midlife in women.

     

Plant Neurobiology as a Paradigm Shift Not Only in the Plant Sciences

Plants are complex living beings, extremely sensitive to environmental factors, continuously adapting to the ever changing environment. Emerging research document that plants sense, memorize, and process experiences and use this information for their adaptive behavior and evolution. As any other living and evolving systems, plants act as knowledge accumulating systems. Neuronal informational systems are behind this concept of organisms as knowledge accumulating systems because they allow the most rapid and efficient adaptive responses to changes in environment. Therefore, it should not be surprising that neuronal computation is not limited to animal brains but is used also by bacteria and plants. The journal, Plant Signaling & Behavior, was launched as a platform for exchanging information and fostering research on plant neurobiology in order to allow our understanding of plants in their whole integrated, communicative, and behavioral complexity.

I always go by official statistics because they are very carefully compounded and, even if they are false, we have no others …∼ Jaroslav Hašek, 1911

Key Words: plant neurobiology, sensory biology, behavior, biological complexity, evolution, signal integrationThis quotation of writer and mystificator Jaroslav Hašek is from his electorial speech aimed to get a seat in the Austro-Hungarian parliament for his imaginary political party ‘Moderate Progress within the Limits of the Law’ in 1911. It indicates how statistics can be misused for manipulation of public opinion, sometimes allegedly for general good. This quotation is partially relevant also for recent biology which is passing through a critical cross-road from reductionist-mechanistic concepts and methodologies towards the post-genomic, holistic, systems-based analysis of integrated and communicative hierarchic networks known as life processes.There is a message hidden in this Hašek''s aphorism. All those mathematical models, scientific theories and concepts, however appealing, harmonious and long-standing … but which do not correspond to reality …; inevitably will be ‘killed by ugly’ facts generated by scientific progress, and finally replaced by new models, theories, and concepts.¹Despite the indisputable success of the reductionistic approach in providing many discoveries regarding single cells and their components, it is increasingly clear that promises of ‘mechanistic’ genocentric biology were just chimeras and that living organisms are much more complex than the sum of their constituents. Ernst Mayr, in his final opus, almost a testament published at his age of 100, strongly opposed the belief that the reductionism at the molecular level could help to explain the complexity of life. He stressed that the concept of biological “emergence”, which deals with the occurrence of unexpected features in complex living systems, is not fully accessible using only physical and chemical approaches.²Themes of hierarchy, continuity, and order dominated biology before the turn of the century, but these have in many cases been replaced by images of the workshop. Examples include such terms as ‘machineries’, ‘mechanistic understanding’, ‘mechanistic explanation’, ‘motors’, ‘machines’, ‘clocks’ etc. This shift may well reflect the characteristic style of our age. These concepts, although useful for mining of details, do not reveal the true complexity of life and can be misleading. Even a one-celled organism is made up of ‘millions’ of subcellular parts. Concerning the great complexity of unicellular creatures Ilya Prigogine (1973) wrote: “… but let us have no illusions, our research would still leave us quite unable to grasp the extreme complexity of the simplest of organism.”³ Moreover, eukaryotic cell proved to be, in fact, ‘cells within cell’,^4–8 while there are numerous supracellular situations, the most dramatic one is represented by plants when all cells are interconnected via plasmodesmata into supracellular organism.⁶ All this collectively indicate that the currently valid ‘Cell Theory’ dogma is approaching its replacement with a new updated concept of a basic unit of eukaryotic life.^6–8All those mathematical models, scientific theories and concepts, however appealing, harmonious and long-standing … but which do not correspond to reality …; inevitably will be ‘killed by ugly’ facts generated by scientific progress, and finally replaced by new models, theories, and concepts.Furthermore, genomes are much more complex and dynamic as we ever anticipated.^9,10 They often have as much as 99% of non-coding DNA sequences,¹¹ which is not ‘junk DNA’ but rather DNA which is part of multitask networks integrating coding DNA.¹² In genomes exposed to stress (like mutations), changes are scored preferentially in non-coding sequences which regain a new balance by complex changes in genome composition and activity.^9,10,13,14 There are several definitions regarding what is gene¹¹ and molecular biologists and genetics are learning to be careful not to make strong conclusions from under-expression, knocking-out, or overexpression of any particular gene. It is increasingly clear that mutations in single genes are accompanied with altered expressions of other genes and non-coding DNA sequences too, and even subtle re-arrangements of chromatin structure and genome architecture are possible. The dynamic genome actively regains the lost balance, also via extensive re-shufflings of non-coding DNA.After complete sequencing of numerous genomes, it is clear that our understanding of what constitutes life and what distinguishes living biological systems from non-living chemical - biochemical systems is not much better than our understanding before the start of the genomics era some 60 years ago. Yet, it is also obvious that living systems, whether single cells or whole complex organisms like animals and plants, are not machines and automata which respond to external signals via a limited set of predefined responses and automatic reflexes. While humans and other animals, even insects, are already out of this ‘mechanistic’ trap^15,16 which can be traced back to Descartes,¹⁷ plants are still considered to act only in predetermined automatic fashions, as mechanical devices devoid of any possibility for choice and planning of their activities. In contrast to machines, life systems are based on wet chemistry, being systems of hierarchical and dynamic integration, communication and emergence.^1,18Recently, a critical mass of data has accumulated demanding reconsideration of this mechanistic view of plants.^19,20 Plants are complex living beings, extremely sensitive to environmental factors and continuously adapting to the ever changing environment.²¹ In addition, plants respond to environmental stimuli as integrated organisms. Often, plants make important decisions, such as onset or breakage of dormancy and onset of flowering, which implicate some central or decentralized command center. Moreover, roots and shoots act in an integrated manner allowing dynamic balance of above-ground and below-ground organs. The journal, Plant Signaling & Behavior, was launched as a platform for exchange of information about the integration of discrete processes, including subcellular signalling integrated with higher-level processes. Signal integration and communication results in adaptive behavior of whole supracellular organisms, encompassing also complex, and still elusive, plant-plant, plant-insect, and plant-animal communications. Coordinated behavior based on sensory perception is inherent for neurobiological systems.²² Therefore, plants can be considered for neuronal individuals. Moreover, plants are also able to share knowledge perceived from environment with other plants, communicating both private and public messages.^23,24 This implicates social learning and behavioral inheritance in plants too.After complete sequencing of numerous genomes, it is clear that our understanding of what constitutes life and what distinguishes living biological systems from non-living chemical - biochemical systems is not much better than our understanding before the start of genomics era some 60 years ago.

Behavior

1. An activity of a defined organism: observable activity when measurable in terms of quantitative effects of the environment whether arising from internal or external stimuli.
2. Anything that an organism does that involves action and response to stimulation.

(Webster Third New International Dictionary 1961).Neuronal informational systems allow the most rapid and efficient adaptive responses. Therefore, it should not be surprising that neuronal computation is not limited to animal brains but is used also by bacteria and plants.Some of our colleagues assert that plants do not exhibit any integrated neuronal principles.²⁵ They maintain that plants do not show complex experience- or learning-based behavior. Plants, they aver, act rather as machines manifesting predefined reflexes. Yet recent studies indicate that even prokaryotic bacteria exhibit cognitive behavior^26,27 and posses linguistic communication and rudimentary intelligence.^28–30 Therefore, it should not be too surprising that plants also show features of communication and even plant-specific cognition.^{19,20,31,32–35} As any other living systems, plants act as ‘knowledge accumulating systems’.¹ In fact, in order to adapt, all organisms continuously generate hypotheses about their environment via well formulated ‘questions’ which are solved by an increasing set of possible ‘answers’ in order to adapt.¹ Neuronal informational systems are behind this concept of organisms as ‘knowledge accumulating systems’ because they allow the most rapid and efficient adaptive responses.²² As a consequence, neuronal computation is not limited to animal brains but is used also by bacteria and plants.Reductionistic approaches will continue to “atomize” biological systems. Nevertheless, the avalanche of new data will be in need of functional integration, winning adherents to the idea that plants have integrated signaling and communicative systems that endowed them with complex and adaptive behavior. We trust that Plant Signaling & Behavior, will become an important platform for exchange of these ideas. With progress of sciences, plants show more and more similarities to animals despite obviously plant-specific evolutionary origins, cellular basis, and multicellularity. We can just mention sexuality and sex organs, embryos, stem cells, immunity, circadian rhythms, hormonal and peptide signaling, sensory perception and bioelectricity including action potentials, communication and neurobiological aspects of signal integration. The whole picture strongly suggest that convergent evolution is much more important^36,37 than currently envisioned in evolutionary theories.Reductionistic approaches will continue to “atomize” biological systems. Nevertheless, the avalanche of new data will be in need of functional integration, winning adherents to the idea that plants have integrated signaling and communicative systems that endowed them with complex and adaptive behavior.We have started with Jaroslav Hašek and we close with him as well. His quotation from 1911 is also a warning for future that we should stay open-minded. We should not slip into dogmatic ‘traps’ which have been so characteristic for the mechanistic and genocentric biology. Mathematics and computational biology are important tools, and surely will play decisive role in systems biology in the future. But they can be easily misinterpreted, and even misused. Plant systems biology, and the whole biology in general, must overcome dogmas of mechanistic genocentric biology. We hope that characterizing plants in their whole behavioral and communicative complexity will allow us to better understand what is life and how it emerged from chemical and biochemical complex systems.