riboCleaner: a pipeline to identify and quantify rRNA read contamination from RNA-seq data in plants.

MOTIVATION: Analysis of gene expression data can be crucial for elucidating biological relationships within living organisms. However, accurate quantification of gene expression relies directly upon the accuracy of the reference genome or transcriptome to which the expression data are mapped. Errors in gene annotation can lead to errors in the quantification of gene expression. One source of gene annotation error in eukaryotes arises from incorrect predictions of messenger RNA gene models within ribosomal DNA (rDNA) regions. RESULTS: Here, we provide examples of how the presence of false gene models in rDNA regions can result in a handful of genes appearing to contribute to >50% of the total transcripts per million values of entire RNA-seq datasets. To this end, we have created riboCleaner, a bioinformatics pipeline designed to identify misannotated gene models in rDNA regions and quantify rRNA-derived reads in RNA-seq data. We also show the applicability of riboCleaner in several plant genome assemblies. AVAILABILITY AND IMPLEMENTATION: We have implemented riboCleaner as a containerized Snakemake workflow. The workflow, instructions for building the container and other documentation are available at https://github.com/basf. The data underlying this article are available in GitHub at https://github.com/basf/riboCleaner. For convenience, a prebuilt Docker image containing riboCleaner is available at https://hub.docker.com/u/basfcontainers. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Connecting Gut Microbial Diversity with Plasma Metabolome and Fecal Bile Acid Changes Induced by the Antibiotics Tobramycin and Colistin Sulfate.

The diversity of microbial species in the gut has a strong influence on health and development of the host. Further, there are indications that the variation in expression of gut bacterial metabolic enzymes is less diverse than the taxonomic profile, underlying the importance of microbiome functionality, particularly from a toxicological perspective. To address these relationships, the gut bacterial composition of Wistar rats was altered by a 28 day oral treatment with the antibiotics tobramycin or colistin sulfate. On the basis of 16S marker gene sequencing data, tobramycin was found to cause a strong reduction in the diversity and relative abundance of the microbiome, whereas colistin sulfate had only a marginal impact. Associated plasma and fecal metabolomes were characterized by targeted mass spectrometry-based profiling. The fecal metabolome of tobramycin-treated animals had a high number of significant alterations in metabolite levels compared to controls, particularly in amino acids, lipids, bile acids (BAs), carbohydrates, and energy metabolites. The accumulation of primary BAs and significant reduction of secondary BAs in the feces indicated that the microbial alterations induced by tobramycin inhibit bacterial deconjugation reactions. The plasma metabolome showed less, but still many alterations in the same metabolite groups, including reductions in indole derivatives and hippuric acid, and furthermore, despite marginal effects of colistin sulfate treatment, there were nonetheless systemic alterations also in BAs. Aside from these treatment-based differences, we also uncovered interindividual differences particularly centering on the loss of Verrucomicrobiaceae in the microbiome, but with no apparent associated metabolite alterations. Finally, by comparing the data set from this study with metabolome alterations in the MetaMapTox database, key metabolite alterations were identified as plasma biomarkers indicative of altered gut microbiomes resulting from a wide activity spectrum of antibiotics.

Gene regulation and suppression of type I interferon signaling by STAT3 in diffuse large B cell lymphoma.

STAT3 is constitutively activated in many cancers and regulates gene expression to promote cancer cell survival, proliferation, invasion, and migration. In diffuse large B cell lymphoma (DLBCL), activation of STAT3 and its kinase JAK1 is caused by autocrine production of IL-6 and IL-10 in the activated B cell-like subtype (ABC). However, the gene regulatory mechanisms underlying the pathogenesis of this aggressive lymphoma by STAT3 are not well characterized. Here we performed genome-wide analysis and identified 2,251 STAT3 direct target genes, which involve B cell activation, survival, proliferation, differentiation, and migration. Whole-transcriptome profiling revealed that STAT3 acts as both a transcriptional activator and a suppressor, with a comparable number of up- and down-regulated genes. STAT3 regulates multiple oncogenic signaling pathways, including NF-κB, a cell-cycle checkpoint, PI3K/AKT/mTORC1, and STAT3 itself. In addition, STAT3 negatively regulates the lethal type I IFN signaling pathway by inhibiting expression of IRF7, IRF9, STAT1, and STAT2 Inhibition of STAT3 activity by ruxolitinib synergizes with the type I IFN inducer lenalidomide in growth inhibition of ABC DLBCL cells in vitro and in a xenograft mouse model. Therefore, this study provides a mechanistic rationale for clinical trials to evaluate ruxolitinib or a specific JAK1 inhibitor combined with lenalidomide in ABC DLBCL.

Functional metabolomics of the human scalp: a metabolic niche for Staphylococcus epidermidis.

Although metabolomics data acquisition and analysis technologies have become increasingly sophisticated over the past 5-10 years, deciphering a metabolite's function from a description of its structure and its abundance in a given experimental setting is still a major scientific and intellectual challenge. To point out ways to address this "data to knowledge" challenge, we developed a functional metabolomics strategy that combines state-of-the-art data analysis tools and applied it to a human scalp metabolomics data set: skin swabs from healthy volunteers with normal or oily scalp (Sebumeter score 60-120, n = 33; Sebumeter score > 120, n = 41) were analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS), yielding four metabolomics data sets for reversed phase chromatography (C18) or hydrophilic interaction chromatography (HILIC) separation in electrospray ionization (ESI) + or - ionization mode. Following our data analysis strategy, we were able to obtain increasingly comprehensive structural and functional annotations, by applying the Global Natural Product Social Networking (M. Wang, J. J. Carver, V. V. Phelan, L. M. Sanchez, et al., Nat Biotechnol 34:828-837, 2016, https://doi.org/10.1038/nbt.3597), SIRIUS (K. Dührkop, M. Fleischauer, M. Ludwig, A. A. Aksenov, et al., Nat Methods 16:299-302, 2019, https://doi.org/10.1038/s41592-019-0344-8), and MicrobeMASST (S. ZuffaS, R. Schmid, A. Bauermeister, P. W, P. Gomes, et al., bioRxiv:rs.3.rs-3189768, 2023, https://doi.org/10.21203/rs.3.rs-3189768/v1) tools. We finally combined the metabolomics data with a corresponding metagenomic sequencing data set using MMvec (J. T. Morton, A. A. Aksenov, L. F. Nothias, J. R. Foulds, et. al., Nat Methods 16:1306-1314, 2019, https://doi.org/10.1038/s41592-019-0616-3), gaining insights into the metabolic niche of one of the most prominent microbes on the human skin, Staphylococcus epidermidis.IMPORTANCESystems biology research on host-associated microbiota focuses on two fundamental questions: which microbes are present and how do they interact with each other, their host, and the broader host environment? Metagenomics provides us with a direct answer to the first part of the question: it unveils the microbial inhabitants, e.g., on our skin, and can provide insight into their functional potential. Yet, it falls short in revealing their active role. Metabolomics shows us the chemical composition of the environment in which microbes thrive and the transformation products they produce. In particular, untargeted metabolomics has the potential to observe a diverse set of metabolites and is thus an ideal complement to metagenomics. However, this potential often remains underexplored due to the low annotation rates in MS-based metabolomics and the necessity for multiple experimental chromatographic and mass spectrometric conditions. Beyond detection, prospecting metabolites' functional role in the host/microbiome metabolome requires identifying the biological processes and entities involved in their production and biotransformations. In the present study of the human scalp, we developed a strategy to achieve comprehensive structural and functional annotation of the metabolites in the human scalp environment, thus diving one step deeper into the interpretation of "omics" data. Leveraging a collection of openly accessible software tools and integrating microbiome data as a source of functional metabolite annotations, we finally identified the specific metabolic niche of Staphylococcus epidermidis, one of the key players of the human skin microbiome.

Facial Skin Microbiome Composition and Functional Shift with Aging.

The change in the skin microbiome as individuals age is only partially known. To provide a better understanding of the impact of aging, whole-genome sequencing analysis was performed on facial skin swabs of 100 healthy female Caucasian volunteers grouped by age and wrinkle grade. Volunteers' metadata were collected through questionnaires and non-invasive biophysical measurements. A simple model and a biological statistical model were used to show the difference in skin microbiota composition between the two age groups. Taxonomic and non-metric multidimensional scaling analysis showed that the skin microbiome was more diverse in the older group (≥55 yo). There was also a significant decrease in Actinobacteria, namely in Cutibacterium acnes, and an increase in Corynebacterium kroppenstedtii. Some Streptococcus and Staphylococcus species belonging to the Firmicutes phylum and species belonging to the Proteobacteria phylum increased. In the 18-35 yo younger group, the microbiome was characterized by a significantly higher proportion of Cutibacterium acnes and Lactobacillus, most strikingly, Lactobacillus crispatus. The functional analysis using GO terms revealed that the young group has a higher significant expression of genes involved in biological and metabolic processes and in innate skin microbiome protection. The better comprehension of age-related impacts observed will later support the investigation of skin microbiome implications in antiaging protection.

Risk factors for pressure injury development in patients with spinal cord injury beyond index hospitalization: an analysis of violent mechanism of injury and socioeconomic disparity.

INTRODUCTION: PIs are very common in those with SCI and pose a significant health and economic burden. Optimal prevention strategies require rapid identification of high-risk populations. OBJECTIVE: The authors examined risk factors for PI in persons with traumatic SCI, focusing on mechanism of injury and sociodemographic variables. MATERIALS AND METHODS: Patients aged 18 years or older at the authors' institution who had a traumatic SCI between January 1, 2002, and December 31, 2018 were included. Descriptive statistics and logistic regression analyses were conducted. RESULTS: Of 448 patients, 94 patients (21%) had a violent SCI and 163 patients (36%) developed PIs. Violent mechanism of SCI was a significant predictor of a single (56% vs 31%; P <.001) or multiple PIs (83% vs 61%; P <.01), flap coverage (26% vs 17%; P <.05), and higher median stage PI (stage 4 vs stage 3, P <.05). Male sex (OR = 2.08; P <.05), complete SCI (OR = 5.51; P <.001), and violent mechanism of SCI (OR = 2.36; P <.01) were significant predictors on multivariate analysis. Increasing age at the time of SCI (OR = 1.01; P <.05) and unmarried marital status (OR = 1.77; P <.01) were predictive on univariate analysis. CONCLUSIONS: Patients of male sex, complete SCI, and violent mechanism of SCI may be at higher risk of PI development and would benefit from more intensive prevention initiatives.

Gut Microbiota as Well as Metabolomes of Wistar Rats Recover within Two Weeks after Doripenem Antibiotic Treatment.

An understanding of the changes in gut microbiome composition and its associated metabolic functions is important to assess the potential implications thereof on host health. Thus, to elucidate the connection between the gut microbiome and the fecal and plasma metabolomes, two poorly bioavailable carbapenem antibiotics (doripenem and meropenem), were administered in a 28-day oral study to male and female Wistar rats. Additionally, the recovery of the gut microbiome and metabolomes in doripenem-exposed rats were studied one and two weeks after antibiotic treatment (i.e., doripenem-recovery groups). The 16S bacterial community analysis revealed an altered microbial population in all antibiotic treatments and a recovery of bacterial diversity in the doripenem-recovery groups. A similar pattern was observed in the fecal metabolomes of treated animals. In the recovery group, particularly after one week, an over-compensation was observed in fecal metabolites, as they were significantly changed in the opposite direction compared to previously changed metabolites upon 28 days of antibiotic exposure. Key plasma metabolites known to be diagnostic of antibiotic-induced microbial shifts, including indole derivatives, hippuric acid, and bile acids were also affected by the two carbapenems. Moreover, a unique increase in the levels of indole-3-acetic acid in plasma following meropenem treatment was observed. As was observed for the fecal metabolome, an overcompensation of plasma metabolites was observed in the recovery group. The data from this study provides insights into the connectivity of the microbiome and fecal and plasma metabolomes and demonstrates restoration post-antibiotic treatment not only for the microbiome but also for the metabolomes. The importance of overcompensation reactions for health needs further studies.

Investigating the gut microbiome and metabolome following treatment with artificial sweeteners acesulfame potassium and saccharin in young adult Wistar rats.

To elucidate if artificial sweeteners modify fecal bacterial composition and the fecal and plasma metabolomes, Wistar rats from both sexes were treated for 28 days with acesulfame potassium (40 and 120 mg/kg body weight) and saccharin (20 and 100 mg/kg body weight). Targeted MS-based metabolome profiling (plasma and feces) and fecal 16S gene sequencing were conducted. Both sweeteners exhibited only minor effects on the fecal metabolome and microbiota. Saccharin treatment significantly altered amino acids, lipids, energy metabolism and specifically, bile acids in the plasma metabolome. Additionally, sex-specific differences were observed for conjugated primary and secondary bile acids. Acesulfame potassium treated male rats showed larger alterations in glycine conjugated primary and secondary bile-acids than females. Other changes in the plasma metabolome were more profound for saccharin than acesulfame potassium, for both sexes. Changes in conjugated bile-acids in plasma, which are often associated with microbiome changes, and the absence of similarly large changes in microbiota suggest an adaptative change of the latter, rather than toxicity. Further studies with a high resolution 16S sequencing data and/or metagenomics approach, with particular emphasis on bile acids, will be required to explore the mechanisms driving this metabolic outcome of saccharin in Wistar rats.

Recognition of the unique bleeding pattern and laboratory findings in acquired haemophilia A facilitates prompt treatment of a life-threatening disorder.

Acquired haemophilia A (AHA) is an uncommon but severe acquired bleeding disorder caused by the development of antibodies against clotting factor VIII, impairing secondary haemostasis. It is more common in older individuals and characteristically presents with spontaneous soft tissue bleeding that can rapidly become life-threatening. Definitive treatment requires immunosuppression to eradicate anti-FVIII antibodies, while providing haemostatic support to manage bleeding. Transfusions of fresh frozen plasma or cryoprecipitate, typically used to treat severe bleeding, are ineffective in patients with AHA. Instead, highly specialised clotting factor concentrates are required. While the appearance and extent of the soft tissue bleeding and the markedly prolonged activated partial thromboplastin time are characteristic, lack of familiarity with this disease process can lead to significant treatment delays. We report the clinical course and management of a 65-year-old woman who presented with severe anaemia of unclear aetiology with unrecognised soft tissue bleeding who was subsequently diagnosed with AHA.

PRMT5 is upregulated by B-cell receptor signaling and forms a positive-feedback loop with PI3K/AKT in lymphoma cells.

PRMT5, which regulates gene expression by symmetric dimethylation of histones and non-histone target proteins, is overexpressed and plays a pathogenic role in many cancers. In diffuse large B cell lymphoma (DLBCL), the mechanisms of PRMT5 dysregulation and its role in lymphomagenesis remain largely unknown. Here we demonstrate that B cell receptor (BCR) signaling regulates PRMT5 expression in DLBCL cells. Immunohistochemical analysis reveals elevated levels of PRMT5 expression in DLBCL cases and in germinal center (GC) B cells when compared to naive B cells. PRMT5 can be induced in naive B cells by BCR stimulation. We discovered that BTK-NF-κB signaling induces PRMT5 transcription in activated B cell-like (ABC) DLBCL cells while BCR downstream PI3K-AKT-MYC signaling upregulates PRMT5 expression in both ABC and GCB DLBCL cells. PRMT5 inhibition inhibits the growth of DLBCL cells in vitro and patient derived xenografts. Genomic and biochemical analysis demonstrate that PRMT5 promotes cell cycle progression and activates PI3K-AKT signaling, suggesting a feedback regulatory mechanism to enhance cell survival and proliferation. Co-targeting PRMT5 and AKT by their specific inhibitors is lethal to DLBCL cell lines and primary cancer cells. Therefore, this study provides a mechanistic rationale for clinical trials to evaluate PRMT5 and AKT inhibitors for DLBCL.

Improving the minimally invasive approach to mandible angle repair.

Mandible angle fractures can be exceedingly difficult to manage and are associated with the highest complication rate of all mandible fractures. Although technically demanding, minimally invasive plate repair of angle fractures offers minimal morbidity and effective fragment stabilization while providing optimal aesthetic outcome. Although minimally invasive fixation provides attractive results, full mobilization of the operative site is often substantially limited by the inherent nature of local masseteric and deeper tissues. Although access limitations often prompt creation of an additional facial incision, trocar withdrawal into subcutaneous tissue followed by repositioning and deep tissue penetration greatly enhances operative mobility. Although this modification may seem simple, the senior author's experience at several outside institutions demonstrates that surgeons will all-too-often resort to additional facial incisions when access is severely limited. In review of our 5-year experience with minimally invasive angle repair, this straightforward innovation significantly decreased operative challenge, improved instrument range-of-motion, and eased the steep learning curve of these often-difficult procedures.