Influence of Sex on the Microbiota of the Human Face.

The role of the microbiota in health and disease has long been recognized and, so far, the cutaneous microbiota in humans has been widely investigated. The research regarded mainly the microbiota variations between body districts and disease skin states (i.e., atopic dermatitis, psoriasis, acne). In fact, relatively little information is available about the composition of the healthy skin microbiota. The cosmetic industry is especially interested in developing products that maintain and/or improve a healthy skin microbiota. Therefore, in the present work, the authors chose to investigate in detail the structure and composition of the basal bacterial community of the face. Ninety-six cheek samples (48 women and 48 men) were collected in the same season and the same location in central northern Italy. Bacterial DNA was extracted, the 16S rDNA gene was amplified by PCR, the obtained amplicons were subjected to next generation sequencing. The principal members of the community were identified at the genus level, and statistical analyses showed significant variations between the two sexes. This study identified abundant members of the facial skin microbiota that were rarely reported before in the literature and demonstrated the differences between male and female microbiota in terms of both community structure and composition.

A Metabologenomic approach reveals alterations in the gut microbiota of a mouse model of Alzheimer's disease.

The key role played by host-microbiota interactions on human health, disease onset and progression, and on host response to treatments has increasingly emerged in the latest decades. Indeed, dysbiosis has been associated to several human diseases such as obesity, diabetes, cancer and also neurodegenerative disease, such as Parkinson, Huntington and Alzheimer's disease (AD), although whether causative, consequence or merely an epiphenomenon is still under investigation. In the present study, we performed a metabologenomic analysis of stool samples from a mouse model of AD, the 3xTgAD. We found a significant change in the microbiota of AD mice compared to WT, with a longitudinal divergence of the F/B ratio, a parameter suggesting a gut dysbiosis. Moreover, AD mice showed a significant decrease of some amino acids, while data integration revealed a dysregulated production of desaminotyrosine (DAT) and dihydro-3-coumaric acid. Collectively, our data show a dysregulated gut microbiota associated to the onset and progression of AD, also indicating that a dysbiosis can occur prior to significant clinical signs, evidenced by early SCFA alterations, compatible with gut inflammation.

A Pilot Study on Clinical Scores, Immune Cell Modulation, and Microbiota Composition in Allergic Patients with Rhinitis and Asthma Treated with a Probiotic Preparation.

BACKGROUND: Specific drugs and/or immunotherapies are widely used to treat allergies, but drug-induced adverse effects recently led to explore new additional strategies. We studied whether a probiotic preparation (iPROB®; Anallergo SpA, Florence, Italy) is effective in allergic patients and the mechanisms underlying clinical outcomes. METHODS: Eligible patients (n = 28), all suffering from allergic rhinitis with/without bronchial asthma, were consecutively recruited at the Allergology Medical Unit (Novara, Italy) and treated with this probiotic. From each patient, we collected blood and stool samples at the baseline, after 60 days of probiotic supplementation, and after 60 days from probiotic discontinuation. In each blood sample, the percentage of hematopoietic stem cells, eosinophils, and basophils was measured by FACS. To analyze stool microbiota composition, genomic DNA was extracted, bacterial 16S DNA libraries sequenced by Illumina platform (Miseq), and raw sequences processed. Generated data were statistically analyzed. RESULTS: Probiotic-treated patients showed a significant decrease in Average Rhinitis Total Symptom Score (d = -10.5714), and Visual Analog Scale (d = -2.00) clinical indices, as well as important improvements in quality of life. In whole blood, a significant reduction in the percentage of activated eosinophils and basophils was determined, and this effect persisted after specific cell stimulation. Consistently, the serum levels of IL-4 and IL-5 decreased after probiotic treatment, suggesting a reduction in the Th2 cytokine profile. In addition, microbiome genomic analysis (n = 6) showed an increase in microbiome biodiversity, which positively correlates with clinical and cellular data. CONCLUSION: Present study suggests that iPROB® preparation has clinical/biological properties to be a valid add-on supplementation in allergic patients with asthma and rhinitis.

Native AMF Communities in an Italian Vineyard at Two Different Phenological Stages of Vitis vinifera.

Arbuscular mycorrhizal fungi (AMF) are beneficial soil microorganisms that can establish symbiotic associations with Vitis vinifera roots, resulting in positive effects on grapevine performance, both in terms of water use efficiency, nutrient uptake, and replant success. Grapevine is an important perennial crop cultivated worldwide, especially in Mediterranean countries. In Italy, Piedmont is one of the regions with the longest winemaking tradition. In the present study, we characterized the AMF communities of the soil associated or not with the roots of V. vinifera cv. Pinot Noir cultivated in a vineyard subjected to conventional management using 454 Roche sequencing technology. Samplings were performed at two plant phenological stages (flowering and early fruit development). The AMF community was dominated by members of the family Glomeraceae, with a prevalence of the genus Glomus and the species Rhizophagus intraradices and Rhizophagus irregularis. On the contrary, the genus Archaeospora was the only one belonging to the family Archaeosporaceae. Since different AMF communities occur in the two considered soils, independently from the plant phenological stage, a probable role of V. vinifera in determining the AMF populations associated to its roots has been highlighted.

Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients.

BACKGROUND: The aim of this study is to identify miRNAs able to predict the outcomes in breast cancer patients after neoadjuvant chemotherapy (NAC). PATIENTS AND METHODS: We retrospectively analyzed 24 patients receiving NAC and not reaching pathologic complete response (pCR). miRNAs were analyzed using an Illumina Next-Generation-Sequencing (NGS) system. RESULTS: Event-free survival (EFS) and overall survival (OS) were significantly higher in patients with up-regulation of let-7a-5p (EFS p = 0.006; OS p = 0.0001), mirR-100-5p (EFS s p = 0.01; OS p = 0.03), miR-101-3p (EFS p = 0.05; OS p = 0.01), and miR-199a-3p (EFS p = 0.02; OS p = 0.01) in post-NAC samples, independently from breast cancer subtypes. At multivariate analysis, only let-7a-5p was significantly associated with EFS (p = 0.009) and OS (p = 0.0008). CONCLUSION: Up-regulation of the above miRNAs could represent biomarkers in breast cancer.

Climatic Zone and Soil Properties Determine the Biodiversity of the Soil Bacterial Communities Associated to Native Plants from Desert Areas of North-Central Algeria.

Algeria is the largest country in Africa characterized by semi-arid and arid sites, located in the North, and hypersaline zones in the center and South of the country. Several autochthonous plants are well known as medicinal plants, having in common tolerance to aridity, drought and salinity. In their natural environment, they live with a great amount of microbial species that altogether are indicated as plant microbiota, while the plants are now viewed as a "holobiont". In this work, the microbiota of the soil associated to the roots of fourteen economically relevant autochthonous plants from Algeria have been characterized by an innovative metagenomic approach with a dual purpose: (i) to deepen the knowledge of the arid and semi-arid environment and (ii) to characterize the composition of bacterial communities associated with indigenous plants with a strong economic/commercial interest, in order to make possible the improvement of their cultivation. The results presented in this work highlighted specific signatures which are mainly determined by climatic zone and soil properties more than by the plant species.

Next-generation sequencing improves BCR-ABL1 mutation detection in Philadelphia chromosome-positive acute lymphoblastic leukaemia.

BCR-ABL1 kinase domain mutation testing in tyrosine kinase inhibitor (TKI)-resistant Philadelphia chromosome-positive (Ph+) acute lymphoblastic leukaemia (ALL) patients is routinely performed by Sanger sequencing (SS). Recently, next-generation sequencing (NGS)-based approaches have been developed that afford greater sensitivity and straightforward discrimination between compound and polyclonal mutations. We performed a study to compare the results of SS and NGS in a consecutive cohort of 171 Ph+ ALL patients. At diagnosis, 0/44 and 3/44 patients were positive for mutations by SS and NGS respectively. Out of 47 patients with haematologic resistance, 45 had mutations according to both methods, but in 25 patients NGS revealed additional mutations undetectable by SS. Out of 80 patients in complete haematologic response but with BCR-ABL1 ≥0·1%, 28 (35%) and 52 (65%) were positive by SS and NGS respectively. Moreover, in 12 patients positive by SS, NGS detected additional mutations. NGS resolved clonal complexity in 34 patients with multiple mutations at the same or different codons and identified 35 compound mutations. Our study demonstrates that, in Ph+ ALL on TKI therapy, NGS enables more accurate assessment of mutation status both in patients who fail therapy and in patients with minimal residual disease above 0·1%.

Discovering the bacteriome of Vitis vinifera cv. Pinot Noir in a conventionally managed vineyard.

The structure of the bacteriome associated with grapevine roots can affect plant development, health and grape quality. We previously investigated the bacterial biodiversity of the Vitis vinifera cv. Pinot Noir rhizosphere in a vineyard subjected to integrated pest management. The aim of this work is to characterize the bacteriome of V. vinifera cv. Pinot Noir in a conventionally managed vineyard using a metabarcoding approach. Comparisons between the microbial community structure in bulk soil and rhizosphere (variable space) were performed and shifts of bacteriome according to two sampling times (variable time) were characterized. Bacterial biodiversity was higher at the second than at the first sampling and did not differ according to the variable space. Actinobacteria was the dominant class, with Gaiella as the most represented genus in all the samples. Among Proteobacteria, the most represented classes were Alpha, Beta and Gamma-Proteobacteria, with higher abundance at the second than at the first sampling time. Bradyrhizobium was the most frequent genus among Alpha-Proteobacteria, while Burkholderia was the predominant Beta-Proteobacteria. Among Firmicutes, the frequency of Staphylococcus was higher than 60% in bulk soil and rhizosphere. Finally, the sampling time can be considered as one of the drivers responsible for the bacteriome variations assessed.

Prospective assessment of NGS-detectable mutations in CML patients with nonoptimal response: the NEXT-in-CML study.

In chronic myeloid leukemia (CML) patients, tyrosine kinase inhibitors (TKIs) may select for drug-resistant BCR-ABL1 kinase domain (KD) mutants. Although Sanger sequencing (SS) is considered the gold standard for BCR-ABL1 KD mutation screening, next-generation sequencing (NGS) has recently been assessed in retrospective studies. We conducted a prospective, multicenter study (NEXT-in-CML) to assess the frequency and clinical relevance of low-level mutations and the feasibility, cost, and turnaround times of NGS-based BCR-ABL1 mutation screening in a routine setting. A series of 236 consecutive CML patients with failure (n = 124) or warning (n = 112) response to TKI therapy were analyzed in parallel by SS and NGS in 1 of 4 reference laboratories. Fifty-one patients (22 failure, 29 warning) who were negative for mutations by SS had low-level mutations detectable by NGS. Moreover, 29 (27 failure, 2 warning) of 60 patients who were positive for mutations by SS showed additional low-level mutations. Thus, mutations undetectable by SS were identified in 80 out of 236 patients (34%), of whom 42 (18% of the total) had low-level mutations somehow relevant for clinical decision making. Prospective monitoring of mutation kinetics demonstrated that TKI-resistant low-level mutations are invariably selected if the patients are not switched to another TKI or if they are switched to a inappropriate TKI or TKI dose. The NEXT-in-CML study provides for the first time robust demonstration of the clinical relevance of low-level mutations, supporting the incorporation of NGS-based BCR-ABL1 KD mutation screening results in the clinical decision algorithms.

The RNA-binding protein ILF3 binds to transposable element sequences in SINEUP lncRNAs.

Transposable elements (TEs) compose about half of the mammalian genome and, as embedded sequences, up to 40% of long noncoding RNA (lncRNA) transcripts. Embedded TEs may represent functional domains within lncRNAs, providing a structured RNA platform for protein interaction. Here we show the interactome profile of the mouse inverted short interspersed nuclear element (SINE) of subfamily B2 (invSINEB2) alone and embedded in antisense (AS) ubiquitin C-terminal hydrolase L1 (Uchl1), an lncRNA that is AS to Uchl1 gene. AS Uchl1 is the representative member of a functional class of AS lncRNAs, named SINEUPs, in which the invSINEB2 acts as effector domain (ED)-enhancing translation of sense protein-coding mRNAs. By using RNA-interacting domainome technology, we identify the IL enhancer-binding factor 3 (ILF3) as a protein partner of AS Uchl1 RNA. We determine that this interaction is mediated by the RNA-binding motif 2 of ILF3 and the invSINEB2. Furthermore, we show that ILF3 is able to bind a free right Arthrobacter luteus (Alu) monomer sequence, the embedded TE acting as ED in human SINEUPs. Bioinformatic analysis of Encyclopedia of DNA Elements-enhanced cross-linking immunoprecipitation data reveals that ILF3 binds transcribed human SINE sequences at transcriptome-wide levels. We then demonstrate that the embedded TEs modulate AS Uchl1 RNA nuclear localization to an extent moderately influenced by ILF3. This work unveils the existence of a specific interaction between embedded TEs and an RNA-binding protein, strengthening the model of TEs as functional modules in lncRNAs.-Fasolo, F., Patrucco, L., Volpe, M., Bon, C., Peano, C., Mignone, F., Carninci, P., Persichetti, F., Santoro, C., Zucchelli, S., Sblattero, D., Sanges, R., Cotella, D., Gustincich, S. The RNA-binding protein ILF3 binds to transposable element sequences in SINEUP lncRNAs.

STAble: a novel approach to de novo assembly of RNA-seq data and its application in a metabolic model network based metatranscriptomic workflow.

BACKGROUND: De novo assembly of RNA-seq data allows the study of transcriptome in absence of a reference genome either if data is obtained from a single organism or from a mixed sample as in metatranscriptomics studies. Given the high number of sequences obtained from NGS approaches, a critical step in any analysis workflow is the assembly of reads to reconstruct transcripts thus reducing the complexity of the analysis. Despite many available tools show a good sensitivity, there is a high percentage of false positives due to the high number of assemblies considered and it is likely that the high frequency of false positive is underestimated by currently used benchmarks. The reconstruction of not existing transcripts may false the biological interpretation of results as - for example - may overestimate the identification of "novel" transcripts. Moreover, benchmarks performed are usually based on RNA-seq data from annotated genomes and assembled transcripts are compared to annotations and genomes to identify putative good and wrong reconstructions, but these tests alone may lead to accept a particular type of false positive as true, as better described below. RESULTS: Here we present a novel methodology of de novo assembly, implemented in a software named STAble (Short-reads Transcriptome Assembler). The novel concept of this assembler is that the whole reads are used to determine possible alignments instead of using smaller k-mers, with the aim of reducing the number of chimeras produced. Furthermore, we applied a new set of benchmarks based on simulated data to better define the performance of assembly method and carefully identifying true reconstructions. STAble was also used to build a prototype workflow to analyse metatranscriptomics data in connection to a steady state metabolic modelling algorithm. This algorithm was used to produce high quality metabolic interpretations of small gene expression sets obtained from already published RNA-seq data that we assembled with STAble. CONCLUSIONS: The presented results, albeit preliminary, clearly suggest that with this approach is possible to identify informative reactions not directly revealed by raw transcriptomic data.

The Rhizosphere Bacterial Microbiota of Vitis vinifera cv. Pinot Noir in an Integrated Pest Management Vineyard.

Microorganisms associated with Vitis vinifera (grapevine) can affect its growth, health and grape quality. The aim of this study was to unravel the biodiversity of the bacterial rhizosphere microbiota of grapevine in an integrated pest management vineyard located in Piedmont, Italy. Comparison between the microbial community structure in the bulk and rhizosphere soil (variable: space) were performed. Moreover, the possible shifts of the bulk and rhizosphere soil microbiota according to two phenological stages such as flowering and early fruit development (variable: time) were characterized. The grapevine microbiota was identified using metagenomics and next-generation sequencing. Biodiversity was higher in the rhizosphere than in the bulk soil, independent of the phenological stage. Actinobacteria were the dominant class with frequencies ≥ 50% in all the soil samples, followed by Proteobacteria, Gemmatimonadetes, and Bacteroidetes. While Actinobacteria and Proteobacteria are well-known as being dominant in soil, this is the first time the presence of Gemmatimonadetes has been observed in vineyard soils. Gaiella was the dominant genus of Actinobacteria in all the samples. Finally, the microbiota associated with grapevine differed from the bulk soil microbiota and these variations were independent of the phenological stage of the plant.

Competitive PCR-High Resolution Melting Analysis (C-PCR-HRMA) for large genomic rearrangements (LGRs) detection: A new approach to assess quantitative status of BRCA1 gene in a reference laboratory.

AIM OF THE STUDY: Evaluation of copy number variation (CNV) in BRCA1/2 genes, due to large genomic rearrangements (LGRs), is a mandatory analysis in hereditary breast and ovarian cancers families, if no pathogenic variants are found by sequencing. LGRs cannot be detected by conventional methods and several alternative methods have been developed. Since these approaches are expensive and time consuming, identification of alternative screening methods for LGRs detection is needed in order to reduce and optimize the diagnostic procedure. The aim of this study was to investigate a Competitive PCR-High Resolution Melting Analysis (C-PCR-HRMA) as molecular tool to detect recurrent BRCA1 LGRs. MATERIAL AND METHODS: C-PCR-HRMA was performed on exons 3, 14, 18, 19, 20 and 21 of the BRCA1 gene; exons 4, 6 and 7 of the ALB gene were used as reference fragments. RESULTS: This study showed that it is possible to identify recurrent BRCA1 LGRs, by melting peak height ratio between target (BRCA1) and reference (ALB) fragments. Furthermore, we underline that a peculiar amplicon-melting profile is associated to a specific BRCA1 LGR. All C-PCR-HRMA results were confirmed by Multiplex ligation-dependent probe amplification. CONCLUSIONS: C-PCR-HRMA has proved to be an innovative, efficient and fast method for BRCA1 LGRs detection. Given the sensitivity, specificity and ease of use, c-PCR-HRMA can be considered an attractive and powerful alternative to other methods for BRCA1 CNVs screening, improving molecular strategies for BRCA testing in the context of Massive Parallel Sequencing.

High Resolution Melting Analysis is Very Useful to Identify BRCA1 c.4964_4982del19 (rs80359876) Founder Calabrian Pathogenic Variant on Peripheral Blood and Buccal Swab DNA.

INTRODUCTION: Detection of pathogenic variants in hereditary breast and ovarian cancer-related breast cancer type 1 and type 2 susceptibility proteins (BRCA1/2) genes is an effective strategy in cancer prevention and treatment. Some ethnic and geographical regions show different BRCA1/2 mutation spectrum and prevalence. In Italy, elucidation of founder effect in BRCA1/2 genes can have an impact on the management of hereditary cancer families on a healthcare system level, making genetic testing more affordable and cost effective in certain regions. METHODS: The purpose of this paper is to develop a rapid, low-cost, high-throughput single-tube technology for genotyping the Italian founder mutation c.4964_4982del19 (rs80359876) in the BRCA1 gene, starting from peripheral blood and/or buccal swab DNA. RESULTS: Heterozygote samples for c.4964_4982del19 variant were easily and unambiguously identified by the altered shape of the melting curves and were clearly distinguished by a change in melting temperature that differed by approximately 5 °C. The same results were obtained both with DNA from peripheral blood than buccal swab. CONCLUSIONS: We provide evidence about application of high-resolution melting analysis (HRMA) in unambiguously genotyping of the founder BRCA1 c.4964_4982del19 variant (rs80359876) in individuals from the Calabria region of Italy. In fact, HRMA was confirmed to be particularly suitable for the identification of BRCA1 c.4964_4982del19 variant, making this approach useful in clinical molecular diagnostics.

Identification of novel proteins binding the AU-rich element of α-prothymosin mRNA through the selection of open reading frames (RIDome).

We describe here a platform for high-throughput protein expression and interaction analysis aimed at identifying the RNA-interacting domainome. This approach combines the selection of a phage library displaying "filtered" open reading frames with next-generation DNA sequencing. The method was validated using an RNA bait corresponding to the AU-rich element of α-prothymosin, an RNA motif that promotes mRNA stability and translation through its interaction with the RNA-binding protein ELAVL1. With this strategy, we not only confirmed known RNA-binding proteins that specifically interact with the target RNA (such as ELAVL1/HuR and RBM38) but also identified proteins not previously known to be ARE-binding (R3HDM2 and RALY). We propose this technology as a novel approach for studying the RNA-binding proteome.