Washed microbiota transplantation for Crohn's disease: A metagenomic, metatranscriptomic, and metabolomic-based study.

BACKGROUND: Fecal microbiota transplantation (FMT) is a promising therapeutic approach for treating Crohn's disease (CD). The new method of FMT, based on the automatic washing process, was named as washed microbiota transplantation (WMT). Most existing studies have focused on observing the clinical phenomena. However, the mechanism of action of FMT for the effective management of CD-particularly in-depth multi-omics analysis involving the metagenome, metatranscriptome, and metabolome-has not yet been reported. AIM: To assess the efficacy of WMT for CD and explore alterations in the microbiome and metabolome in response to WMT. METHODS: We conducted a prospective, open-label, single-center clinical study. Eleven CD patients underwent WMT. Their clinical responses (defined as a decrease in their CD Activity Index score of > 100 points) and their microbiome (metagenome, metatranscriptome) and metabolome profiles were evaluated three months after the procedure. RESULTS: Seven of the 11 patients (63.6%) showed an optimal clinical response three months post-WMT. Gut microbiome diversity significantly increased after WMT, consistent with improved clinical symptoms. Comparison of the metagenome and metatranscriptome analyses revealed consistent alterations in certain strains, such as Faecalibacterium prausnitzii, Roseburia intestinalis, and Escherichia coli. In addition, metabolomics analyses demonstrated that CD patients had elevated levels of various amino acids before treatment compared to the donors. However, levels of vital amino acids that may be associated with disease progression (e.g., L-glutamic acid, gamma-glutamyl-leucine, and prolyl-glutamine) were reduced after WMT. CONCLUSION: WMT demonstrated therapeutic efficacy in CD treatment, likely due to the effective reconstruction of the patient's microbiome. Multi-omics techniques can effectively help decipher the potential mechanisms of WMT in treating CD.

Consistent signatures in the human gut microbiome of old- and young-onset colorectal cancer.

The incidence of young-onset colorectal cancer (yCRC) has been increasing in recent decades, but little is known about the gut microbiome of these patients. Most studies have focused on old-onset CRC (oCRC), and it remains unclear whether CRC signatures derived from old patients are valid in young patients. To address this, we assembled the largest yCRC gut metagenomes to date from two independent cohorts and found that the CRC microbiome had limited association with age across adulthood. Differential analysis revealed that well-known CRC-associated taxa, such as Clostridium symbiosum, Peptostreptococcus stomatis, Parvimonas micra and Hungatella hathewayi were significantly enriched (false discovery rate <0.05) in both old- and young-onset patients. Similar strain-level patterns of Fusobacterium nucleatum, Bacteroides fragilis and Escherichia coli were observed for oCRC and yCRC. Almost all oCRC-associated metagenomic pathways had directionally concordant changes in young patients. Importantly, CRC-associated virulence factors (fadA, bft) were enriched in both oCRC and yCRC compared to their respective controls. Moreover, the microbiome-based classification model had similar predication accuracy for CRC status in old- and young-onset patients, underscoring the consistency of microbial signatures across different age groups.

Microbiome signatures associated with clinical stages of gastric Cancer: whole metagenome shotgun sequencing study.

BACKGROUND: Gastric cancer is one of the global health concerns. A series of studies on the stomach have confirmed the role of the microbiome in shaping gastrointestinal diseases. Delineation of microbiome signatures to distinguish chronic gastritis from gastric cancer will provide a non-invasive preventative and treatment strategy. In this study, we performed whole metagenome shotgun sequencing of fecal samples to enhance the detection of rare bacterial species and increase genome sequence coverage. Additionally, we employed multiple bioinformatics approaches to investigate the potential targets of the microbiome as an indicator of differentiating gastric cancer from chronic gastritis. RESULTS: A total of 65 patients were enrolled, comprising 33 individuals with chronic gastritis and 32 with gastric cancer. Within each group, the chronic gastritis group was sub-grouped into intestinal metaplasia (n = 15) and non-intestinal metaplasia (n = 18); the gastric cancer group, early stage (stages 1 and 2, n = 13) and late stage (stages 3 and 4, n = 19) cancer. No significant differences in alpha and beta diversities were detected among the patient groups. However, in a two-group univariate comparison, higher Fusobacteria abundance was identified in phylum; Fusobacteria presented higher abundance in gastric cancer (LDA scored 4.27, q = 0.041 in LEfSe). Age and sex-adjusted MaAsLin and Random Forest variable of importance (VIMP) analysis in species provided meaningful features; Bacteria_caccae was the most contributing species toward gastric cancer and late-stage cancer (beta:2.43, se:0.891, p:0.008, VIMP score:2.543). In contrast, Bifidobacterium_longum significantly contributed to chronic gastritis (beta:-1.8, se:0.699, p:0.009, VIMP score:1.988). Age, sex, and BMI-adjusted MasAsLin on metabolic pathway analysis showed that GLCMANNANAUT-PWY degradation was higher in gastric cancer and one of the contributing species was Fusobacterium_varium. CONCLUSION: Microbiomes belonging to the pathogenic phylum Fusobacteria and species Bacteroides_caccae and Streptococcus_anginosus can be significant targets for monitoring the progression of gastric cancer. Whereas Bifidobacterium_longum and Lachnospiraceae_bacterium_5_1_63FAA might be protection biomarkers against gastric cancer.

Refinement of the "Candidatus Accumulibacter" genus based on metagenomic analysis of biological nutrient removal (BNR) pilot-scale plants operated with reduced aeration.

Members of the "Candidatus Accumulibacter" genus are widely studied as key polyphosphate-accumulating organisms (PAOs) in biological nutrient removal (BNR) facilities performing enhanced biological phosphorus removal (EBPR). This diverse lineage includes 18 "Ca. Accumulibacter" species, which have been proposed based on the phylogenetic divergence of the polyphosphate kinase 1 (ppk1) gene and genome-scale comparisons of metagenome-assembled genomes (MAGs). Phylogenetic classification based on the 16S rRNA genetic marker has been difficult to attain because most "Ca. Accumulibacter" MAGs are incomplete and often do not include the rRNA operon. Here, we investigate the "Ca. Accumulibacter" diversity in pilot-scale treatment trains performing BNR under low dissolved oxygen (DO) conditions using genome-resolved metagenomics. Using long-read sequencing, we recovered medium- and high-quality MAGs for 5 of the 18 "Ca. Accumulibacter" species, all with rRNA operons assembled, which allowed a reassessment of the 16S rRNA-based phylogeny of this genus and an analysis of phylogeny based on the 23S rRNA gene. In addition, we recovered a cluster of MAGs that based on 16S rRNA, 23S rRNA, ppk1, and genome-scale phylogenetic analyses do not belong to any of the currently recognized "Ca. Accumulibacter" species for which we propose the new species designation "Ca. Accumulibacter jenkinsii" sp. nov. Relative abundance evaluations of the genus across all pilot plant operations revealed that regardless of the operational mode, "Ca. A. necessarius" and "Ca. A. propinquus" accounted for more than 40% of the "Ca. Accumulibacter" community, whereas the newly proposed "Ca. A. jenkinsii" accounted for about 5% of the "Ca. Accumulibacter" community.IMPORTANCEOne of the main drivers of energy use and operational costs in activated sludge processes is the amount of oxygen provided to enable biological phosphorus and nitrogen removal. Wastewater treatment facilities are increasingly considering reduced aeration to decrease energy consumption, and whereas successful BNR has been demonstrated in systems with minimal aeration, an adequate understanding of the microbial communities that facilitate nutrient removal under these conditions is still lacking. In this study, we used genome-resolved metagenomics to evaluate the diversity of the "Candidatus Accumulibacter" genus in pilot-scale plants operating with minimal aeration. We identified the "Ca. Accumulibacter" species enriched under these conditions, including one novel species for which we propose "Ca. Accumulibacter jenkinsii" sp. nov. as its designation. Furthermore, the MAGs obtained for five additional "Ca. Accumulibacter" species further refine the phylogeny of the "Ca. Accumulibacter" genus and provide new insight into its diversity within unconventional biological nutrient removal systems.

On the limits of 16S rRNA gene-based metagenome prediction and functional profiling.

Molecular profiling techniques such as metagenomics, metatranscriptomics or metabolomics offer important insights into the functional diversity of the microbiome. In contrast, 16S rRNA gene sequencing, a widespread and cost-effective technique to measure microbial diversity, only allows for indirect estimation of microbial function. To mitigate this, tools such as PICRUSt2, Tax4Fun2, PanFP and MetGEM infer functional profiles from 16S rRNA gene sequencing data using different algorithms. Prior studies have cast doubts on the quality of these predictions, motivating us to systematically evaluate these tools using matched 16S rRNA gene sequencing, metagenomic datasets, and simulated data. Our contribution is threefold: (i) using simulated data, we investigate if technical biases could explain the discordance between inferred and expected results; (ii) considering human cohorts for type two diabetes, colorectal cancer and obesity, we test if health-related differential abundance measures of functional categories are concordant between 16S rRNA gene-inferred and metagenome-derived profiles and; (iii) since 16S rRNA gene copy number is an important confounder in functional profiles inference, we investigate if a customised copy number normalisation with the rrnDB database could improve the results. Our results show that 16S rRNA gene-based functional inference tools generally do not have the necessary sensitivity to delineate health-related functional changes in the microbiome and should thus be used with care. Furthermore, we outline important differences in the individual tools tested and offer recommendations for tool selection.

Gut Microbiome of Patients With Breast Cancer in Vietnam.

PURPOSE: Gut microbiota play an important role in human health, including cancer. Cancer and its treatment, in turn, may alter the gut microbiome. To understand this complex relationship, we profiled the gut microbiome of 356 Vietnamese patients with breast cancer. MATERIALS AND METHODS: Stool samples were collected before chemotherapy, with 162 pre- and 194 postsurgery. The gut microbiome was measured by shotgun metagenomic sequencing. Associations of gut microbial diversity, taxa abundance, and gut microbiome health index (GMHI) with sociodemographic, clinical factors, and tumor characteristics were evaluated. RESULTS: Postsurgery samples were associated with significantly lower α- and ß-diversities (P < .001) and showed significant differences in the abundance of 15% of 2,864 investigated taxa (false discovery rate [FDR] <0.1) compared with presurgery samples. An unhealthy gut microbiome was prevalent among patients with breast cancer, with a mean GMHI of -0.79 and -2.81 in pre- and postsurgery stool samples, respectively. In an analysis of 162 presurgery stool samples, diagnosis delay was significantly associated with lower α-diversity, variation in ß-diversity, an increased abundance of species Enorma massiliensis, and a decreased abundance of Faecalicoccus pleomorphus. High intake of fiber was significantly associated with lower α-diversity and a higher abundance of species belonging to Bifidobacterium, Prevotella, and Bacteroides gena (FDR < 0.1). We did not find that cancer stage and subtype, menopausal status, comorbidity, antibiotic use during 3 months before stool collection, or physical activity was significantly associated with α- and ß-diversities or GMHI although a few significant differences were observed in taxa abundance. CONCLUSION: Our study revealed that diagnosis delay, high fiber intake, and breast cancer surgery, which is always followed by antibiotic prophylaxis in Vietnam, led to a less diverse and unhealthy gut microbiome among patients with breast cancer.

The Trajectory of Successful Aging: Insights from Metagenome and Cytokine Profiling.

INTRODUCTION: The longevity is influenced by genetic, environmental, and lifestyle factors. The specific changes that occur in the gut microbiome during the aging process, and their relationship to longevity and immune function, have not yet been fully understood. The ongoing research of other microbiome based on longevity cohort in Kazakhstan provides preliminary information on longevity-related aging, where cytokine expression is associated with specific microbial communities and microbial functions. METHODS: Metagenomic shotgun sequencing study of 40 long-lived individuals aged 90 years and over was carried out, who were conditionally healthy and active, able to serve themselves, without a history of serious infection and cancer, who had not taken any antimicrobials, including probiotics. Blood serum was analyzed for clinical and laboratory characteristics. The cytokine and chemokine profile in serum and stool samples was assessed using multiplex analysis. RESULTS: We found a significant increase in the expression of pro-inflammatory cytokines IL-1a, IL-6, 12p70, IP-10, IFNα2, IL-15, TNFa, as well as chemokines MIP-1a/CCL3 and MIP-1b/CCL4, chemokine motif ligands MCP-3/CCL7 and MDC/CCL22(1c). Nonagenerians and centenarians demonstrated a greater diversity of core microbiota genera and showed an elevated prevalence of the genera Bacteroides, Clostridium, Escherichia, and Alistipes. Conversely, there was a decrease in the abundance of the genera Ruminococcus, Fusicatenibacter, Dorea, as well as the species Fusicatenibacter saccharivorans. Furthermore, functional analysis revealed that the microbiome in long-lived group has a high capacity for lipid metabolism, amino acid degradation, and potential signs of chronic inflammatory status. CONCLUSION: Long-lived individuals exhibit an immune system imbalance and observed changes in the composition of the gut microbiota at the genus level between to the two age-groups. Age-related changes in the gut microbiome, metabolic functions of the microbial community, and chronic inflammation all contribute to immunosenescence. In turn, the inflammatory state and microbial composition of the gut is related to nutritional status.

Protocol to identify fungal profile from fecal metagenomes in cancer patients prior to immunotherapy.

Identifying fungal profiles from metagenomes is challenging due to an incomplete fungal database and limitations in the understanding of software. Here, we describe a protocol for analyzing the fecal metagenome of cancer patients prior to immunotherapy. We describe steps for raw metagenomic sequencing data retrieval, human genome and contaminants elimination, and assigning taxonomy labels to fungal reads. We then detail measures for assessing fungal alpha diversity and beta diversity, along with differential analysis. For complete details on the use and execution of this protocol, please refer to Xiaowen Huang et al.1.

Multi-kingdom microbial signatures in excess body weight colorectal cancer based on global metagenomic analysis.

Excess body weight (EBW) increases the risk of colorectal cancer (CRC) and is linked to lower colonoscopy compliance. Here, we extensively analyzed 981 metagenome samples from multiple cohorts to pinpoint the specific microbial signatures and their potential capability distinguishing EBW patients with CRC. The gut microbiome displayed considerable variations between EBW and lean CRC. We identify 44 and 37 distinct multi-kingdom microbial species differentiating CRC and controls in EBW and lean populations, respectively. Unique bacterial-fungal associations are also observed between EBW-CRC and lean-CRC. Our analysis revealed specific microbial functions in EBW-CRC, including D-Arginine and D-ornithine metabolism, and lipopolysaccharide biosynthesis. The best-performing classifier for EBW-CRC, comprising 12 bacterial and three fungal species, achieved an AUROC of 0.90, which was robustly validated across three independent cohorts (AUROC = 0.96, 0.94, and 0.80). Pathogenic microbial species, Anaerobutyricum hallii, Clostridioides difficile and Fusobacterium nucleatum, are EBW-CRC specific signatures. This work unearths the specific multi-kingdom microbial signatures for EBW-CRC and lean CRC, which may contribute to precision diagnosis and treatment of CRC.

Analysis of diversity and function of epiphytic bacterial communities associated with macrophytes using a metagenomic approach.

Epiphytic bacteria constitute a vital component of aquatic ecosystems, pivotal in regulating elemental cycling. Despite their significance, the diversity and functions of epiphytic bacterial communities adhering to various submerged macrophytes remain largely unexplored. In this study, we employed a metagenomic approach to investigate the diversity and function of epiphytic bacterial communities associated with six submerged macrophytes: Ceratophyllum demersum, Hydrilla verticillata, Myriophyllum verticillatum, Potamogeton lucens, Stuckenia pectinata, and Najas marina. The results revealed that the predominant epiphytic bacterial species for each plant type included Pseudomonas spp., Microbacterium spp., and Stenotrophomonas rhizophila. Multiple comparisons and linear discriminant analysis effect size indicated a significant divergence in the community composition of epiphytic bacteria among the six submerged macrophytes, with 0.3-1% of species uniquely identified. Epiphytic bacterial richness associated with S. pectinata significantly differed from that of both C. demersum and H. verticillata, although no significant differences were observed in diversity and evenness. Functionally, notable variations were observed in the relative abundances of genes associated with carbon, nitrogen, and phosphorus cycling within epiphytic bacterial communities on the submerged macrophyte hosts. Among these communities, H. verticillata exhibited enrichment in genes related to the 3-hydroxypropionate bicycle and nitrogen assimilation, translocation, and denitrification. Conversely, M. verticillatum showcased enrichment in genes linked to the reductive citric acid cycle (Arnon-Buchanan cycle), reductive pentose phosphate cycle (Calvin cycle), polyphosphate degradation, and organic nitrogen metabolism. In summary, our findings offer valuable insights into the diversity and function of epiphytic bacteria on submerged macrophyte leaves, shedding light on their roles in lake ecosystems.

Taxonomic and functional assembly cues enrich the endophytic tobacco microbiota across epiphytic compartments.

The plant microbiome plays a critical role in plant growth, development, and health, with endophytes being recognized as essential members due to their close interactions with host plants. However, knowledge gaps remain in understanding the mechanisms driving the colonization and establishment of endophytic communities. To address this issue, we investigated the microbiota of tobacco roots and leaves, including both epiphytic and endophytic microorganisms. We found that Actinobacteria and Alphaproteobacteria were significantly enriched in the root endosphere. Additionally, we identified higher abundances of functional traits involved in antibiotic synthesis, plant cell wall degradation, iron metabolism, secretion systems, and nicotine degradation enzymes in the endosphere. We further studied metagenome-assembled genomes from the rhizosphere and root endosphere, revealing a greater diversity of secondary metabolites in bacteria within the root endosphere. Together, this study provides insights into the taxonomic and functional assembly cues that may contribute to shaping the endophytic plant microbiota.IMPORTANCEThe presence of diverse microorganisms within plant tissues under natural conditions is a well-established fact. However, due to the plant immune system's barrier and the unique microhabitat of the plant interior, it remains unclear what specific characteristics bacteria require to successfully colonize and thrive in the plant endosphere. Recognizing the significance of unraveling these functional features, our study focused on investigating the enriched traits in the endophytic microbiota compared to the epiphytes. Through our research, we have successfully identified the taxonomic and functional assembly cues that drive the enrichment of the endophytic microbiota across the epiphytic compartments. These findings shed new light on the intricate mechanisms of endophyte colonization, thereby deepening our understanding of plant-microbe interactions and paving the way for further advancements in microbiome manipulation.

In-depth insight into improvement of simultaneous nitrification and denitrification/biofouling control by increasing sludge concentration in membrane reactor: performance, microbial assembly and metagenomic analysis.

Currently, severe membrane fouling and inefficient nitrogen removal were two main issues that hindered the sustainable operation and further application of membrane bioreactor (MBR). This study aimed to simultaneously alleviate membrane fouling and improve nitrogen removal by applying high sludge concentration in MBR. Results showed that high sludge concentration (12000 mg/L) enhanced total nitrogen removal efficiency (78 %) and reduced transmembrane pressure development rate. Microbial community analysis revealed that high sludge concentration enriched functional bacteria associated with nitrogen removal, increased filamentous bacteria fraction in bio-cake and inhibited Thiothrix overgrowth in bulk sludge. From molecular level, the key genes involved in nitrogen metabolism, electron donor/adenosine triphosphate production and amino acid degradation were up-regulated under high sludge concentration. Overall, high sludge concentration improved microbial assembly and functional gene abundance, which not only enhanced nitrogen removal but also alleviated membrane fouling. This study provided an effective strategy for sustainable operation of MBR.

Joint application of metagenomic next-generation sequencing and histopathological examination for the diagnosis of pulmonary infectious disease.

IMPORTANCE: The diagnosis of some pulmonary infectious diseases and their pathogens is very difficult. A more precise diagnosis of pulmonary infectious diseases can help clinicians use proper antibiotics as well as reduce the development of drug-resistant bacteria. In this study, we performed both mNGS and pathology on lung puncture biopsy tissue from patients and found that combined mNGS and histopathology testing was significantly more effective than histopathology testing alone in detecting infectious diseases and identifying infectious diseases. In addition, the combined approach improves the detection rate of pathogenic microorganisms in infectious diseases and can be used to guide precision clinical treatment.

From metagenomes to metabolism: Systematically assessing the metabolic flux feasibilities for "Candidatus Accumulibacter" species during anaerobic substrate uptake.

With the rapid growing availability of metagenome assembled genomes (MAGs) and associated metabolic models, the identification of metabolic potential in individual community members has become possible. However, the field still lacks an unbiassed systematic evaluation of the generated metagenomic information to uncover not only metabolic potential, but also feasibilities of these models under specific environmental conditions. In this study, we present a systematic analysis of the metabolic potential in species of "Candidatus Accumulibacter", a group of polyphosphate-accumulating organisms (PAOs). We constructed a metabolic model of the central carbon metabolism and compared the metabolic potential among available MAGs for "Ca. Accumulibacter" species. By combining Elementary Flux Modes Analysis (EFMA) with max-min driving force (MDF) optimization, we obtained all possible flux distributions of the metabolic network and calculated their individual thermodynamic feasibility. Our findings reveal significant variations in the metabolic potential among "Ca. Accumulibacter" MAGs, particularly in the presence of anaplerotic reactions. EFMA revealed 700 unique flux distributions in the complete metabolic model that enable the anaerobic uptake of acetate and its conversion into polyhydroxyalkanoates (PHAs), a well-known phenotype of "Ca. Accumulibacter". However, thermodynamic constraints narrowed down this solution space to 146 models that were stoichiometrically and thermodynamically feasible (MDF > 0 kJ/mol), of which only 8 were strongly feasible (MDF > 7 kJ/mol). Notably, several novel flux distributions for the metabolic model were identified, suggesting putative, yet unreported, functions within the PAO communities. Overall, this work provides valuable insights into the metabolic variability among "Ca. Accumulibacter" species and redefines the anaerobic metabolic potential in the context of phosphate removal. More generally, the integrated workflow presented in this paper can be applied to any metabolic model obtained from a MAG generated from microbial communities to objectively narrow the expected phenotypes from community members.

Neuroblastoma is associated with alterations in gut microbiome composition subsequent to maternal microbial seeding.

BACKGROUND: Neuroblastoma is the most frequent extracranial solid tumour in children, accounting for ∼15% of deaths due to cancer in childhood. The most common clinical presentation are abdominal tumours. An altered gut microbiome composition has been linked to multiple cancer types, and reported in murine models of neuroblastoma. Whether children with neuroblastoma display alterations in gut microbiome composition remains unexplored. METHODS: We assessed gut microbiome composition by shotgun metagenomic profiling in an observational cross-sectional study on 288 individuals, consisting of patients with a diagnosis of neuroblastoma at disease onset (N = 63), healthy controls matching the patients on the main covariates of microbiome composition (N = 94), healthy siblings of the patients (N = 13), mothers of patients (N = 59), and mothers of the controls (N = 59). We examined taxonomic and functional microbiome composition and mother-infant strain transmission patterns. FINDINGS: Patients with neuroblastoma displayed alterations in gut microbiome composition characterised by reduced microbiome richness, decreased relative abundances of 18 species (including Phocaeicola dorei and Bifidobacterium bifidum), enriched protein fermentation and reduced carbohydrate fermentation potential. Using machine learning, we could successfully discriminate patients from controls (AUC = 82%). Healthy siblings did not display such alterations but resembled the healthy control group. No significant differences in maternal microbiome composition nor mother-to-offspring transmission were detected. INTERPRETATION: Patients with neuroblastoma display alterations in taxonomic and functional gut microbiome composition, which cannot be traced to differential maternal seeding. Follow-up research should include investigating potential causal links. FUNDING: Italian Ministry of Health Ricerca Corrente and Ricerca Finalizzata 5 per mille (to MPonzoni); Fondazione Italiana Neuroblastoma (to MPonzoni); European Research Council (ERC-StG project MetaPG-716575 and ERC-CoG microTOUCH-101045015 to NS); the European H2020 program ONCOBIOME-825410 project (to NS); the National Cancer Institute of the National Institutes of Health 1U01CA230551 (to NS); the Premio Internazionale Lombardia e Ricerca 2019 (to NS); the MIUR Progetti di Ricerca di Rilevante Interesse Nazionale (PRIN) Bando 2017 Grant 2017J3E2W2 (to NS); EMBO ALTF 593-2020 and Knowledge Generation Project from the Spanish Ministry of Science and Innovation (PID2022-139328OA-I00) (to MV-C).

Case Report: The application of metagenomic next generation sequencing in diagnosing fungal malignant external otitis: a report of two cases.

Background: Most of malignant external otitis (MEO) cases reported in the literature are attributed to Pseudomonas aeruginosa. Fungal infections in MEO are also likely but extremely rare. And conventional microbiology tests is difficult to diagnose. Case description: Two patients were diagnosed with Fungal malignant external otitis (FMEO) due to Aspergillus by metagenomic Next-Generation Sequencing (mNGS) and recovered after comprehensive treatment including operation and voriconazole. The antifungal treatment was delayed due to repeated cultures of secretions being negative and pathological examination showed granulation tissue proliferation with extensive neutrophil infiltration. Conclusion: mNGS might be helpful for patients suspected with FMEO, especially when conventional microbiology tests were negative.

VIGA: a one-stop tool for eukaryotic virus identification and genome assembly from next-generation-sequencing data.

Identification of viruses and further assembly of viral genomes from the next-generation-sequencing data are essential steps in virome studies. This study presented a one-stop tool named VIGA (available at https://github.com/viralInformatics/VIGA) for eukaryotic virus identification and genome assembly from NGS data. It was composed of four modules, namely, identification, taxonomic annotation, assembly and novel virus discovery, which integrated several third-party tools such as BLAST, Trinity, MetaCompass and RagTag. Evaluation on multiple simulated and real virome datasets showed that VIGA assembled more complete virus genomes than its competitors on both the metatranscriptomic and metagenomic data and performed well in assembling virus genomes at the strain level. Finally, VIGA was used to investigate the virome in metatranscriptomic data from the Human Microbiome Project and revealed different composition and positive rate of viromes in diseases of prediabetes, Crohn's disease and ulcerative colitis. Overall, VIGA would help much in identification and characterization of viromes, especially the known viruses, in future studies.

ESTUDIO METAGENÓMICO DE LA MICROBIOTA INTESTINAL EN PACIENTES CON OBESIDAD MÓRBIDA SOMETIDOS A CIRUGÍA BARIÁTRICA / METAGENOMIC STUDY OF THE INTESTINAL MICROBIOTA IN PATIENTS WITH MORBID OBESITY UNDERGOING BARIATRIC SURGERY

Introducción: La cirugía bariátrica (CB) es un tratamiento quirúrgico de la obesidad, cuyo objetivo es lograr el descenso de peso, de masa grasa y alcanzar un impacto metabólico a largo plazo. Se ha observado que ciertos pacientes no responden tan efectivamente a la cirugía, teniendo un descenso de peso inefectivo o recuperando peso tardíamente, y los mecanismos por lo que esto ocurre aún no están bien caracterizados. La microbiota intestinal tiene un rol esencial en varios de los procesos metabólicos asociados a la obesidad. El objetivo de este estudio fue caracterizar el metagenoma intestinal de pacientes candidatos para CB y otros que fueron operados, así como también evaluar las diferencias entre aquellos pacientes que tuvieron un resultado exitoso de la CB y los que no. Material y método: Se extrajo el ADN de 200 mg de heces de pacientes que cumplen criterios de CB, divididos en 3 grupos, basal (preoperatorio), 12 meses y más de 24 meses postoperatorios, con el fin de estudiar y comparar el perfil taxonómico de las comunidades bacterianas de la microbiota intestinal. Resultados: Mientras que la riqueza específica de los grupos de estudio no presentó diferencias significativas, la diversidad beta, que considera las abundancias relativas de los miembros de las comunidades bacterianas estudiadas, evidenció una composición global significativamente diferente entre los grupos de estudio. Sin embargo, nuestro análisis no identificó taxones específicos que pudieran dar explicación a la distinta evolución postoperatoria de los pacientes. Discusión: En la estructura de las comunidades microbianas, se observaron diferencias numéricas entre los grupos en cuanto a la riqueza y abundancia de taxones así como la comparación cuanti y cualitativa. Esta última presentó significativa disimilitud. Los resultados muestran que la principal diferencia entre los grupos de estudio se basó en la abundancia relativa de los gérmenes, cuyo estudio integral podría revelar patrones más consistentes y significativos vinculados a los mecanismos de respuesta terapéutica en sujetos sometidos a CB

Introduction: Bariatric surgery (BS) is a surgical treatment of obesity, which aims to achieve weight loss, fat mass loss and achieve a long-term metabolic impact. It has been observed that certain patients do not respond as effectively to surgery, having ineffective weight loss or regaining weight late, and the mechanisms by which this occurs are not yet well characterized. The intestinal microbiota plays an essential role in several of the metabolic processes associated with obesity. The objective of our study was to characterize the intestinal metagenome of candidate patients for CB and others who underwent surgery, as well as evaluate the differences between those patients who had a successful outcome from CB and those who did not. Material and method: DNA was extracted from 200 mg of feces from patients who met the criteria for surgical indication divided into 3 groups, baseline (preoperative), 12 months and more than 24 months postoperatively, in order to analyze and compare the taxonomic profile of the bacterial communities of the intestinal microbiota. Results: While the specific richness of the study groups did not present significant differences, beta diversity, which considers the relative abundances of the members of the bacterial communities studied, showed a significantly different global composition between the study groups. Nevertheless, our study did not identify specific taxa that could explain the different postoperative evolution of the patients. Discussion: In the structure of the microbial communities, numerical differences were observed between the groups in terms of the richness and abundance of taxa as well as the quantitative and qualitative comparison. The latter evidenced significant dissimilarity. The results show that the main difference between the study groups was based on the relative abundance of the germs, whose comprehensive study could reveal more consistent and significant patterns linked to the therapeutic response mechanisms in subjects subjected to CB. Bariatric surgery (BS) is a surgical treatment of obesity, whose objective is to achieve weight loss, fat mass and achieve a longterm metabolic impact. However, it has been observed that certain patients do not respond as effectively to surgery, having ineffective weight loss or late weight regain, and the mechanisms by which this occurs are not yet well characterized. The intestinal microbiota plays an essential role in several of the metabolic processes associated with obesity. The aim of this study was to characterize the intestinal metagenome of patients who will and who underwent BS, as well as to assess the differences between those patients who had a successful BS outcome and those who did not. Our results did not identify specific taxa that could explain the different evolution of the patients. While the specific richness of the study groups did not present significant differences, the beta diversity, which considers the relative abundances of the members of the studied bacterial communities, showed a significantly different global composition between the study groups