Shortest-Path Network Analysis Is a Useful Approach toward Identifying Genetic Determinants of Longevity

Background

Identification of genes that modulate longevity is a major focus of aging-related research and an area of intense public interest. In addition to facilitating an improved understanding of the basic mechanisms of aging, such genes represent potential targets for therapeutic intervention in multiple age-associated diseases, including cancer, heart disease, diabetes, and neurodegenerative disorders. To date, however, targeted efforts at identifying longevity-associated genes have been limited by a lack of predictive power, and useful algorithms for candidate gene-identification have also been lacking.

Methodology/Principal Findings

We have utilized a shortest-path network analysis to identify novel genes that modulate longevity in Saccharomyces cerevisiae. Based on a set of previously reported genes associated with increased life span, we applied a shortest-path network algorithm to a pre-existing protein–protein interaction dataset in order to construct a shortest-path longevity network. To validate this network, the replicative aging potential of 88 single-gene deletion strains corresponding to predicted components of the shortest-path longevity network was determined. Here we report that the single-gene deletion strains identified by our shortest-path longevity analysis are significantly enriched for mutations conferring either increased or decreased replicative life span, relative to a randomly selected set of 564 single-gene deletion strains or to the current data set available for the entire haploid deletion collection. Further, we report the identification of previously unknown longevity genes, several of which function in a conserved longevity pathway believed to mediate life span extension in response to dietary restriction.

Conclusions/Significance

This work demonstrates that shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity and represents the first application of network analysis of aging to be extensively validated in a biological system. The novel longevity genes identified in this study are likely to yield further insight into the molecular mechanisms of aging and age-associated disease.     

Toward a classification of isodynamic feed-forward motifs

A preceding study analysed how the topology of network motifs affects the overall rate of the underlying biochemical processes. Surprisingly, it was shown that topologically non-isomorphic motifs can still be isodynamic in the sense that they exhibit the exact same performance rate. Because of the high prevalence of feed-forward functional modules in biological networks, one may hypothesize that evolution tends to favour motifs with faster dynamics. As a step towards ranking the efficiency of feed-forward network motifs, we use a linear flow model to prove theorems establishing that certain classes of motifs are isodynamic. In partitioning the class of all motifs on n nodes into equivalence classes based upon their dynamics, we establish a basis for comparing the efficiency/performance rates of different motifs. The potential biological importance of the theorems is briefly discussed and is the subject of an ongoing large-scale project.     

Anaerobic microbiology in 198 cases of pleural empyema: a Bulgarian study

The aim of the study was to evaluate the incidence of anaerobic bacteria in 198 patients with pleural empyema and the susceptibility of isolates to eight antibacterial agents. Isolates were identified by the Crystal anaerobes identification system, API System rapid ID 32 A and/or routine methods. Susceptibility was tested by Sceptor MIC system for anaerobic bacteria and limited agar dilution method. Anaerobic bacteria were found in 74.2% of the patients and included 247 strains within 21 genera. The predominant anaerobes were Gram-positive anaerobic cocci (52 isolates), Fusobacterium (51), microaerophilic streptococci (24), Prevotella (19) and Bacteroides species (11). Common species/groups were Fusobacterium nucleatum (in 27.2% of specimens yielding anaerobes), Micromonas micros (8.2%), Finegoldia magna (7.5%), Bacteroides fragilis group (6.8%), Peptostreptococcus anaerobius (6.1%) and F. necrophorum (5.4%). No resistance to chloramphenicol and ampicillin/sulbactam was detected. The susceptibility rates of Gram-negative anaerobic isolates to penicillin, cefoxitin, clindamycin, clarithromycin, metronidazole and tetracycline were 63.8%, 90.2%, 87.8%, 58.6%, 98.8% and 71%, and those of Gram-positive anaerobes were 79.2%, 100%, 84.3%, 68.4%, 41.9% and 75%, respectively. The wide diversity of isolated anaerobic genera and species and the susceptibility patterns of the isolates emphasize the role of the anaerobic microbiology in cases of pleural empyema.     

Increased production of functional small extracellular vesicles in senescent endothelial cells

Small extracellular vesicles (EVs) are novel players in vascular biology. However, a thorough understanding of their production and function remains elusive. Endothelial senescence is a key feature of vascular ageing and thus, is an attractive therapeutic target for the treatment of vascular disease. In this study, we sought to characterize the EV production of senescent endothelial cells. To achieve this, Human Umbilical Vascular Endothelial Cells (HUVECs) were replicated until they reached senescence, as determined by measurement of Senescence‐Associated β‐Galactosidase activity via microscopy and flow cytometry. Expression of the endosomal marker Rab7 and the EV marker CD63 was determined by immunofluorescence. Small EVs were isolated by ultracentrifugation and characterized using electron microscopy, nanoparticle tracking analysis and immunoassays to assess morphology, size, concentration and expression of exosome markers CD9 and CD81. Migration of HUVECs in response to EVs was studied using a transwell assay. The results showed that senescent endothelial cells express higher levels of Rab7 and CD63. Moreover, senescent endothelial cells produced higher levels of CD9‐ and CD81‐positive EVs. Additionally, small EVs from both young and senescent endothelial cells promoted HUVEC migration. Overall, senescent endothelial cells produce an increased number of functional small EVs, which may have a role in vascular physiology and disease.     

Predicting aging/longevity-related genes in the nematode Caenorhabditis elegans

We present a novel mathematical/computational strategy for predicting genes/proteins associated with aging/longevity. The novelty of our method arises from the topological analysis of an organismal longevity gene/protein network (LGPN), which extends the existing cellular networks. The LGPN nodes represent both genes and corresponding proteins. Links stand for all known interactions between the nodes. The LGPN of C. elegans incorporated 362 genes/proteins, 160 connecting and 202 age-related ones, from a list of 321 with known impact on aging/longevity. A 'longevity core' of 129 directly interacting genes or proteins was identified. This core may shed light on the large-scale mechanisms of aging. Predictions were made, based upon the finding that LGPN hubs and centrally located nodes have higher likelihoods of being associated with aging/longevity than do randomly selected nodes. Analysis singled-out 15 potential aging/longevity-related genes for further examination: mpk-1, gei-4, csp-1, pal-1, mkk-4, 4O210, sem-5, gei-16, 1O814, 5M722, ife-3, ced-10, cdc-42, 1O776Co, and 1O690.     

Enhanced phytate dephosphorylation by using Candida melibiosica yeast-based biofuel cell

We report for the first time that Candida melibiosica expresses enhanced phytase activity when grown under biofuel cell polarization in a nutrient-poor medium, containing only fructose as a carbohydrate source. Phytase activity during the cultivation under polarization reached up to 25 U per g dry biomass, exceeding with 20 ± 3 % those of the control. A participation of the enzyme in the adaptation processes to the stress conditions is proposed. In addition, steady-state electrical outputs were achieved during biofuel cell operation at continuous polarization under constant load. The obtained results show that C. melibiosica yeast-based biofuel cell could be used for simultaneous electricity generation and phytate bioremediation.