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Lesion-specific oral microbiome signatures and predicted carcinogenic pathways in oral squamous cell carcinoma: a paired-site study in Pakistan.

BACKGROUND: Oral squamous cell carcinoma accounts for over 90% of oral neoplasms. Despite therapeutic advances, the lack of reliable, non-invasive biomarkers and delayed diagnosis continues to impede effective clinical management. By combining paired lesion and non-lesion sampling with predictive metagenomics analysis, our study addresses this gap and advances the current understanding of microbiome&#x2012;tumor interactions. METHODS: We analyzed 92 buccal swab samples from 39 OSCC patients and 14 healthy controls using 16S rRNA gene (V3-V4) sequencing. Taxonomic profiling was conducted using QIIME2 and SILVA/eHOMD databases, functional pathways were predicted using PICRUSt2, and hub taxa were identified through co-abundance network analysis. RESULTS: Microbial community structure differed significantly across lesion, non-lesion, and healthy sites (PERMANOVA, p&#x2009;=&#x2009;0.001). Lesions were enriched with Selenomonas infelix and Treponema vincentii, while healthy controls harbored Streptococcus oralis and Gemella haemolysans. Co-abundance network analysis revealed lesion-specific hub species, notably T. vincentii, strongly correlated with predicted activation of pyrimidine biosynthesis pathways (r&#x2009;=&#x2009;0.69, q&#x2009;<&#x2009;1E-6), suggesting predicted metabolic alterations in the tumor microenvironment. Non-lesion sites were also characterized by two hub species, Prevotella melaninogenica and Segatella oulorum. CONCLUSION: Our findings define a lesion-specific microbial signature of OSCC characterized by the depletion of health-associated taxa, enrichment of pro-inflammatory pathobionts, and predicted associations with metabolic pathways implicated in carcinogenesis. These alterations reflect a predicted functionally altered tumor microenvironment.

16S rRNA gene↗

Proteogenomic approaches for the molecular characterization of natural microbial communities.

At the present time we know little about how microbial communities function in their natural habitats. For example, how do microorganisms interact with each other and their physical and chemical surroundings and respond to environmental perturbations? We might begin to answer these questions if we could monitor the ways in which metabolic roles are partitioned amongst members as microbial communities assemble, determine how resources such as carbon, nitrogen, and energy are allocated into metabolic pathways, and understand the mechanisms by which organisms and communities respond to changes in their surroundings. Because many organisms cannot be cultivated, and given that the metabolisms of those growing in monoculture are likely to differ from those of organisms growing as part of consortia, it is vital to develop methods to study microbial communities in situ. Chemoautotrophic biofilms growing in mine tunnels hundreds of meters underground drive pyrite (FeS(2)) dissolution and acid and metal release, creating habitats that select for a small number of organism types. The geochemical and microbial simplicity of these systems, the significant biomass, and clearly defined biological-inorganic feedbacks make these ecosystem microcosms ideal for development of methods for the study of uncultivated microbial consortia. Our approach begins with the acquisition of genomic data from biofilms that are sampled over time and in different growth conditions. We have demonstrated that it is possible to assemble shotgun sequence data to reveal the gene complement of the dominant community members and to use these data to confidently identify a significant fraction of proteins from the dominant organisms by mass spectrometry (MS)-based proteomics. However, there are technical obstacles currently restricting this type of "proteogenomic" analysis. Composite genomic sequences assembled from environmental data from natural microbial communities do not capture the full range of genetic potential of the associated populations. Thus, it is necessary to develop bioinformatics approaches to generate relatively comprehensive gene inventories for each organism type. These inventories are critical for expression and functional analyses. In proteomic studies, for example, peptides that differ from those predicted from gene sequences can be measured, but they generally cannot be identified by database matching, even if the difference is only a single amino acid residue. Furthermore, many of the identified proteins have no known function. We propose that these challenges can be addressed by development of proteogenomic, biochemical, and geochemical methods that will be initially deployed in a simple, natural model ecosystem. The resulting approach should be broadly applicable and will enhance the utility and significance of genomic data from isolates and consortia for study of organisms in many habitats. Solutions draining pyrite-rich deposits are referred to as acid mine drainage (AMD). AMD is a very prevalent, international environmental problem associated with energy and metal resources. The biological-mineralogical interactions that define these systems can be harnessed for energy-efficient metal recovery and removal of sulfur from coal. The detailed understanding of microbial ecology and ecosystem dynamics resulting from the proposed work will provide a scientific foundation for dealing with the environmental challenges and technological opportunities, and yield new methods for analysis of more complex natural communities.

Ecosystem↗

State of research: environmental pathways and food chain transfer.

Data on the chemistry of biologically active components of petroleum, synthetic fuel oils, certain metal elements and pesticides provide valuable generic information needed for predicting the long-term fate of buried waste constituents and their likelihood of entering food chains. Components of such complex mixtures partition between solid and solution phases, influencing their mobility, volatility and susceptibility to microbial transformation. Estimating health hazards from indirect exposures to organic chemicals involves an ecosystem's approach to understanding the unique behavior of complex mixtures. Metabolism by microbial organisms fundamentally alters these complex mixtures as they move through food chains. Pathway modeling of organic chemicals must consider the nature and magnitude of food chain transfers to predict biological risk where metabolites may become more toxic than the parent compound. To obtain predictions, major areas are identified where data acquisition is essential to extend our radiological modeling experience to the field of organic chemical contamination.

Air Pollutants↗

[Role of cytochrome P-450 in strain D7 of the yeast Saccharomyces cerevisiae].

Usual "in vitro" mutagenesis tests combine microbial test systems with mammalian metabolism (microsomal assay). Some cases are known in which expected positive results are not obtained due to many factors operating between the microsomes in the incubation mixtures and the nucleus of the test microbial cells (detoxifying mechanisms, permeability effects, unstable intermediate, alternative targets in the pathway, etc.). In these cases, useful additional information could be obtained using microbial test systems with incorporated metabolism. Microbial systems and in particular yeasts in Cytochrome P-450 dependent metabolizing activity are known since many years. We studied under this aspect the strain D7 of Saccharomyces cerevisiae, used in our laboratory, in order to standardize the conditions for optimal metabolizing activity. The composition of the culture medium, the growth phase, and the effect of the amount of the initial inoculum, were studied. Cytochrome P-450 content was determined by the technique of difference spectra (reduced cytochrome +/- CO). Results on the effect of glucose and sodium phenobarbital concentration in the culture medium were in agreement with the literature. Moreover we found that the cytochrome P-450 contents was markedly dependent on the size of the initial inoculum, being higher and the smaller was the initial inoculum.

Cell Division↗

Baseline metabolomic profile as potential biomarker for weight change after Roux-en-Y gastric bypass (RYGB) surgery.

Metabolic and bariatric surgery (MBS) is the most effective intervention for sustained weight loss and cardiometabolic improvement in individuals with severe obesity. However, long-term outcomes vary, with many patients experiencing weight regain. The biological determinants of this variability remain incompletely understood. Given the integrative nature of the metabolome-capturing interactions among host genetics, diet, microbiota, and environmental exposures-we hypothesized that baseline circulating metabolites could stratify individuals into distinct long-term weight trajectory groups. We profiled untargeted fasting plasma metabolites in a nested case-control study within the Longitudinal Assessment of Bariatric Surgery (LABS-2) cohort. From these metabolites, a 13-metabolite risk score (MetRS) predictive of weight regain five years after Roux-en-Y gastric bypass was derived. The MetRS, which captures pathways including fatty acid oxidation, bile acid conjugation, and microbial-host co-metabolism, outperformed clinical variables in predicting long-term weight outcomes. Its performance was evaluated in two independent cohorts, including one assessed a median of seven years post-surgery. Genomic analyses identified common variants in loci including AGXT2 and SLC7A5 associated with key MetRS metabolites, suggesting a heritable component to the observed metabolic signature. Together, these findings lay the groundwork for a clinically actionable framework to identify individuals at risk for weight recidivism and support the integration of metabolic profiling into preoperative assessment for personalized obesity care.

Journal Article↗

Microbial metabolism of pyridine, quinoline, acridine, and their derivatives under aerobic and anaerobic conditions.

Our review of the metabolic pathways of pyridines and aza-arenes showed that biodegradation of heterocyclic aromatic compounds occurs under both aerobic and anaerobic conditions. Depending upon the environmental conditions, different types of bacteria, fungi, and enzymes are involved in the degradation process of these compounds. Our review indicated that different organisms are using different pathways to biotransform a substrate. Our review also showed that the transformation rate of the pyridine derivatives is dependent on the substituents. For example, pyridine carboxylic acids have the highest transformation rate followed by mono-hydroxypyridines, methylpyridines, aminopyridines, and halogenated pyridines. Through the isolation of metabolites, it was possible to demonstrate the mineralization pathway of various heterocyclic aromatic compounds. By using 14C-labeled substrates, it was possible to show that ring fission of a specific heterocyclic compound occurs at a specific position of the ring. Furthermore, many researchers have been able to isolate and characterize the microorganisms or even the enzymes involved in the transformation of these compounds or their derivatives. In studies involving 18O labeling as well as the use of cofactors and coenzymes, it was possible to prove that specific enzymes (e.g., mono- or dioxygenases) are involved in a particular degradation step. By using H2 18O, it could be shown that in certain transformation reactions, the oxygen was derived from water and that therefore these reactions might also occur under anaerobic conditions.

Acridines↗

Quantitative comparison of the signals of an electrochemical bioactivity sensor during the cultivation of different microorganisms.

The microbial activity of different microorganisms was determined by means of an electrochemical bioactivity sensor (BAS). The BAS is based on a biofuel cell and was used for analytical purposes. Online determination of microbial activity using the BAS demonstrated that when different microorganisms with different metabolic pathways were cultivated, a distinct activity signal was detectable with all organisms applied. Furthermore, the results permitted a quantitative comparison of the BAS signals. Among other findings it was shown that the quotient of the BAS signal and the utilized glucose varied from 0.16-29.08 mV g(-1), the quotient of the maximum BAS signal and the released energy of the reaction exhibited a lower variation of 0.07-0.19 mV kJ(-1). Furthermore it was demonstrated that the highest BAS signals could be measured during anaerobic E. coli fermentations, the reason being the formation of electroactive fermentation products, such as formic acid and H(2).

Bacteria, Aerobic↗

Coordinated use of three homocysteine methyltransferases supports l-methionine biosynthesis and environmental adaptation among plant-associated bacteria.

Plant pathogens colonize multiple plant-associated habitats throughout their life cycle, encountering distinct nutrient conditions and microbial communities. l-methionine is required for bacterial growth and environmental adaptation. However, how plant pathogens coordinate l-methionine biosynthetic pathways to adapt to different plant-associated environments remains poorly understood. Here, using the plant pathogen Xanthomonas campestris pv. campestris strain XC1 as a model, we show that three homocysteine methyltransferase pathways allow XC1 to catalyze the final step of l-methionine biosynthesis using different methyl donors and cofactors under different environmental conditions. Bioinformatic and transcriptional analyses identified three homocysteine methyltransferase-associated operons in XC1, mesMXD, mmuPM, and metHRHaHb, corresponding to the MesD-, MmuM-, and MetHaHb-dependent pathways, respectively. MesD uses an endogenously synthesized methyl donor and functions as the dominant homocysteine methyltransferase under l-methionine-limiting conditions, supporting bacterial growth, intracellular l-methionine accumulation, and full virulence. Furthermore, MmuM enables XC1 to use plant-derived S-methylmethionine for l-methionine biosynthesis, whereas MetHaHb enables XC1 to use vitamin B12 supplied by a neighboring bacterium for l-methionine biosynthesis in co-culture. Expression analyses showed that mesMXD was the only homocysteine methyltransferase-associated operon that responded to l-methionine availability, and its expression also decreased when S-methylmethionine- or vitamin B12-dependent pathways supported l-methionine biosynthesis. Comparative genomic analysis further showed that the three-homocysteine methyltransferase configuration is conserved in Xanthomonas and is also present in other plant-associated bacteria. Together, these findings show that a plant pathogen can coordinate endogenous, plant-derived, and microbially supported homocysteine methyltransferase pathways to maintain l-methionine biosynthesis, providing a metabolic strategy for adaptation to plant-associated environments.

Methionine↗

Redox pathways in a petroleum contaminated shallow sandy aquifer: Iron and sulfate reductions.

A comprehensive hydro-geochemical characterization was carried out in a petroleum-contaminated shallow sandy aquifer in South Africa. The results indicate the presence of a BTEX (benzene, toluene, ethylbenzene, and xylene) plume that has moved, although only slightly, along the regional hydraulic gradient from the spill site. Associated with the contaminant plume, spatial distribution pattern of terminal electron acceptors and metabolites indicates simultaneous occurrence of nitrate, manganese, iron and sulfate reductions resulting in overlapping redox zones within the aquifer. From the measured concentration of metabolic by-products, sulfate and iron reductions seem to be the dominant metabolic pathways, though. Incubation experiments conducted with hydrocarbon contaminated aquifer sediments and inherent microbial assemblages provide a sulfate reduction rate of 4272 nmol cm(-3) day(-1) and 96 nmol cm(-3) day(-1) for winter and summer, respectively. As oppose to this, iron reduction dominates in summer with measured respiration rate of 1414 nmol cm(-3) day(-1). In winter iron reduction was measured to be only 24 nmol cm(-3) day(-1). Based on the dissimilatory iron and sulfate reduction rate measurements, we predict that at the aquifer site, intrinsic BTEX oxidation is primarily occurring in winter and is coupled to sulfate reduction. Although widespread in the aquifer, the contribution of iron reduction for the removal of aromatic monocyclic hydrocarbons is relatively minor.

Journal Article↗

Biotransformations on steroid nucleus of bile acids.

The bile acids in mammals are all derivatives of 5 beta-cholan-26-oic acid. They represent the major quantitative pathway by which cholesterol is metabolized in the body. This article covers the microbial and enzymatic transformations of free, saturated bile acids, that kept unaltered the C-24 cyclopentane-perhydrophenantrene nucleus. The bile acids that have been considered include the primary cholic and chenodeoxycholic acids, the secondary deoxycholic and lithocholic acids as well as the relevant dehydrocholic, ursocholic and ursodeoxycholic acids. Among the bile acid biotransformations, attention is paid to reactions that lead to pharmaceutically significant compounds. This is the case of 7 alpha-hydroxy epimerization of chenodeoxycholic acid to ursodeoxycholic acid, currently used for cholesterol galistone dissolution therapy and in the treatment of cholestatic liver diseases. Emphasis has placed on reporting reactions that may be of general interest and on the practical aspects of work in the field of biotransformations.

Animals↗

Mining genomic databases to identify novel hydrogen producers.

The realization that fossil fuel reserves are limited and their adverse effect on the environment has forced us to look into alternative sources of energy. Hydrogen is a strong contender as a future fuel. Biological hydrogen production ranges from 0.37 to 3.3 moles H(2) per mole of glucose and, considering the high theoretical values of production (4.0 moles H(2) per mole of glucose), it is worth exploring approaches to increase hydrogen yields. Screening the untapped microbial population is a promising possibility. Sequence analysis and pathway alignment of hydrogen metabolism in complete and incomplete genomes has led to the identification of potential hydrogen producers.

Bacteria↗

In vivo porcine multi-omics integration identifies microbiome-driven histamine elevation and lasting gut perturbations following Ascaris suum infection and fenbendazole treatment.

Ascaris roundworms impair human and swine health. While treatments using anthelmintic drugs are generally effective in eliminating worms, their effects on the gut microenvironment remain poorly understood. Here we applied integrated multi-omics to characterize infection- and treatment-associated alterations in the pig-Ascaris system. In vitro anaerobic cultures were conducted as supportive validation of selected observations. Ascaris suum infection altered microbial composition and dysregulated 182 serum and fecal metabolites, including histamine and p-cresol sulfate. Compared with time-matched uninfected controls, infected pigs treated with fenbendazole showed marked differences in gut microbial composition 13&#x2009;days after confirmed worm clearance. Eleven microbial pathways were enriched in successfully treated pigs, including peptidoglycan biosynthesis and histidine metabolism, indicating that infection-associated alterations may persist after treatment. In vitro co-exposure of Lactobacillus reuteri to fenbendazole and A. suum proteins increased histamine production by approximately 79% at 48&#x2009;h (p&#x2009;<&#x2009;0.05), serving as supportive evidence of a microbiome contribution. Collectively, our in vivo findings support that host-microbiota-parasite interactions are multifaceted. Microbiota-derived metabolites were associated with regulation of host gene expression, such as TFF2 and IL8. Microbiota plasticity allows the exploitation of the niche differentiated upon infection, resulting in the proliferation of certain Lactobacillus strains in treated animals. Nevertheless, interpretations of treatment effects are made cautiously given the absence of an uninfected drug-only group and the cross-sectional design. Understanding these complex interactions will be important for the design of next-generation functional anthelmintics.

Animals↗

The EcoCyc and MetaCyc databases.

EcoCyc is an organism-specific Pathway/Genome Database that describes the metabolic and signal-transduction pathways of Escherichia coli, its enzymes, and-a new addition-its transport proteins. MetaCyc is a new metabolic-pathway database that describes pathways and enzymes of many different organisms, with a microbial focus. Both databases are queried using the Pathway Tools graphical user interface, which provides a wide variety of query operations and visualization tools. EcoCyc and MetaCyc are available at http://ecocyc.PangeaSystems.com/ecocyc/

Database Management Systems↗

[Intestinal microbiota alterations after digestive tract reconstruction surgery and their impacts on host physiology].

The gut microbiota, acknowledged as the human body's 'second genome', plays a pivotal role in maintaining health. Digestive tract reconstruction surgery profoundly alters the anatomical structure and physiological environment of the gastrointestinal tract, thereby inducing significant shifts in the intestinal microbiota. These microbial changes subsequently influence host physiological functions through metabolic, immune, neuroendocrine, and other pathways. For instance, Roux-en-Y gastric bypass surgery enriches short-chain fatty acid(SCFA)-producing Bacteroides, improving systemic insulin sensitivity. Conversely, pancreaticoduodenectomy leads to a marked enrichment of potential pathobionts such as Klebsiella and Clostridium, which may elevate the risk of infections and tumor recurrence. This review comprehensively summarizes the characteristic changes in the gut microbiota following various digestive tract reconstruction procedures and discusses their multifaceted impacts on host physiology, aiming to provide insights for future experimental research and clinical practice.

Humans↗

[The breakdown of phthalic acid esters by microorganisms].

The distribution in environment of phthalic acid esters classified according to their inherent toxicity, teratogenic, mutagenic properties and cancerogenic activity into a group of priority pollutants of biosphere is described in this review. The role of microbial community in degradation of phthalate esters has been demonstrated. The effect of such environmental factors as pH of the medium, temperature, humidity, concentration of organic matter, the introduction of promising microbial strains in natural biocenoses has been examined. The pathways of phthalate ester metabolism have been analysed in representatives of active bacterial destructors belonging to genera Nocardia, Pseudomonas and Micrococcus. The decomposition rate of phthalate esters has been shown to be correlated with structure, concentration and culture conditions.

Bacteria↗

The University of Minnesota Biocatalysis/Biodegradation Database: specialized metabolism for functional genomics.

The University of Minnesota Biocatalysis/Biodegradation Database (UM-BBD, http://www.labmed.umn.edu/umbbd/i nde x.html) first became available on the web in 1995 to provide information on microbial biocatalytic reactions of, and biodegradation pathways for, organic chemical compounds, especially those produced by man. Its goal is to become a representative database of biodegradation, spanning the diversity of known microbial metabolic routes, organic functional groups, and environmental conditions under which biodegradation occurs. The database can be used to enhance understanding of basic biochemistry, biocatalysis leading to speciality chemical manufacture, and biodegradation of environmental pollutants. It is also a resource for functional genomics, since it contains information on enzymes and genes involved in specialized metabolism not found in intermediary metabolism databases, and thus can assist in assigning functions to genes homologous to such less common genes. With information on >400 reactions and compounds, it is poised to become a resource for prediction of microbial biodegradation pathways for compounds it does not contain, a process complementary to predicting the functions of new classes of microbial genes.

Bacteria↗

Metabolic pathway analysis in trypanosomes and malaria parasites.

Identification of novel drug targets is required for the development of new classes of drugs to overcome drug resistance and replace less efficacious treatments. In theory, knowledge of the entire genome of a pathogen identifies every potential drug target in any given microbe. In practice, the sheer complexity and the inadequate or inaccurate annotation of genomic information makes target identification and selection somewhat more difficult. Analysis of metabolic pathways provides a useful conceptual framework for the identification of potential drug targets and also for improving our understanding of microbial responses to nutritional, chemical and other environmental stresses. A number of metabolic databases are available as tools for such analyses. The strengths and weaknesses of this approach are discussed.

Animals↗

Genetic engineering of taxol biosynthetic genes in Saccharomyces cerevisiae.

Baccatin III, an intermediate of Taxol biosynthesis and a useful precursor for semisynthesis of the anti-cancer drug, is produced in yew (Taxus) species by a sequence of 15 enzymatic steps from primary metabolism. Ten genes encoding enzymes of this extended pathway have been described, thereby permitting a preliminary attempt to reconstruct early steps of taxane diterpenoid (taxoid) metabolism in Saccharomyces cerevisiae as a microbial production host. Eight of these taxoid biosynthetic genes were functionally expressed in yeast from episomal vectors containing one or more gene cassettes incorporating various epitope tags to permit protein surveillance and differentiation of those pathway enzymes of similar size. All eight recombinant proteins were readily detected by immunoblotting using specific monoclonal antibodies and each expressed protein was determined to be functional by in vitro enzyme assay, although activity levels differed considerably between enzyme types. Using three plasmids carrying different promoters and selection markers, genes encoding five sequential pathway steps leading from primary isoprenoid metabolism to the intermediate taxadien-5alpha- acetoxy-10beta-ol were installed in a single yeast host. Metabolite analysis showed that yeast isoprenoid precursors could be utilized in the reconstituted pathway because products accumulated from the first two engineered pathway steps (leading to the committed intermediate taxadiene); however, a pathway restriction was encountered at the first cytochrome P450 hydroxylation step. The means of overcoming this limitation are described in the context of further development of this novel approach for production of Taxol precursors and related taxoids in yeast.

Alkaloids↗