The Microbiome of Complicated Diverticulitis: An Imbalance of Sulfur-Metabolizing Bacteria.

BACKGROUND: The progression to acute diverticulitis from the relatively benign condition of colonic diverticulosis is not well characterized. A smaller subset may even develop complicated (perforated) diverticulitis resulting in sepsis and/or death. Characterizing the differences between recurrent, uncomplicated diverticulitis, and the more virulent, complicated diverticulitis is necessary to guide clinical decision-making. Alterations to the microbiome offer a possible explanation for local inflammation and the pathophysiology of diverticular disease. OBJECTIVE: This study aimed to characterize the mucosal-associated microbiome in patients with recurrent uncomplicated diverticulitis and complicated (perforated) diverticulitis. DESIGN: Microbial DNA was extracted from full-thickness surgical specimens for 16S rRNA gene sequencing, targeting the V4 hypervariable region. Sequences were analyzed and a quantitative characterization based on taxonomic classification was performed. SETTING: A tertiary care academic medical center. PATIENTS: This study compared 48 patients with recurrent, uncomplicated diverticulitis and 35 patients with radiographically confirmed perforated (complicated) diverticulitis. Tissues were harvested from surgical resection specimens to include both diseased regions and nondiseased (adjacent normal) regions. MAIN OUTCOME MEASURES: We assessed differences in relative abundance and taxonomic classification of mucosal-associated microbes in surgical resection specimens from diverticular disease. RESULTS: When analyzing the tissue of diverticular resection specimens, the complicated diseased segments demonstrated an increased abundance of sulfur-reducing and sulfur-oxidizing bacteria compared to nondiseased, adjacent normal regions. When comparing diseased segments, tissues of patients with complicated diverticulitis had a marked increase in sulfur-reducing microbes. LIMITATIONS: We characterized the mucosal-associated microbiome present at the time of surgical resection, limiting conclusions on its role in pathophysiology. Furthermore, antibiotic usage and bowel preparation before surgery may result in perturbations to microbial flora. CONCLUSIONS: The microbiome of complicated diverticulitis is marked by a localized imbalance of sulfur-metabolizing microbes. The abundance of sulfur-reducing microbes may lead to an excess of hydrogen sulfide and subsequent inflammation. See Video Abstract at http://links.lww.com/DCR/C175 . LA MICROBIOMA DE LA DIVERTICULITIS COMPLICADA UN DESEQUILIBRIO DE LAS BACTERIAS METABOLIZADORAS DE AZUFRE: ANTECEDENTES: La progresión a diverticulitis aguda de la condición relativamente benigna de diverticulosis colónica no está bien caracterizada. Un subgrupo más pequeño puede incluso desarrollar diverticulitis complicada (perforada) que resulta en sepsis y/o muerte. Es necesario caracterizar las diferencias entre la diverticulitis recurrente no complicada y la diverticulitis complicada más virulenta para guiar la toma de decisiones clínicas. Las alteraciones del microbioma ofrecen una posible explicación de la inflamación local y la fisiopatología de la enfermedad diverticular.OBJETIVO: Caracterizar el microbioma asociado a la mucosa en pacientes con diverticulitis no complicada recurrente y diverticulitis complicada (perforada).DISEÑO: El ADN microbiano se extrajo de especímenes quirúrgicos de espesor completo para la secuenciación del gen 16S rRNA, dirigido a la región hipervariable V4. Se analizaron las secuencias y se realizó una caracterización cuantitativa basada en la clasificación taxonómica.AJUSTE: Un centro médico académico de atención terciaria.PACIENTES: Este estudio comparó 48 pacientes con diverticulitis recurrente no complicada y 35 pacientes con diverticulitis perforada (complicada) confirmada radiográficamente. Se recogieron tejidos de especímenes de resección quirúrgica para incluir tanto regiones enfermas como regiones no enfermas (normales adyacentes).PRINCIPALES MEDIDAS DE RESULTADO: Evaluamos las diferencias en la abundancia relativa y la clasificación taxonómica de los microbios asociados a la mucosa en muestras de resección quirúrgica de enfermedad diverticular.RESULTADOS: Al analizar el tejido de las muestras de resección diverticular, los segmentos enfermos complicados demostraron una mayor abundancia de bacterias reductoras de azufre y oxidantes de azufre en comparación con las regiones normales adyacentes no enfermas. Al comparar segmentos enfermos, los tejidos de pacientes complicados tenían un marcado aumento de microbios reductores de azufre.LIMITACIONES: Caracterizamos el microbioma asociado a la mucosa presente en el momento de la resección quirúrgica, lo que limita las conclusiones sobre su papel en la fisiopatología. Además, el uso de antibióticos y la preparación intestinal antes de la cirugía pueden provocar alteraciones en la flora microbiana.CONCLUSIONES: El microbioma de la diverticulitis complicada está marcado por un desequilibrio localizado de microbios metabolizadores de azufre. La abundancia de microbios reductores de azufre puede provocar un exceso de sulfuro de hidrógeno y la consiguiente inflamación. Consulte Video Resumen en http://links.lww.com/DCR/C175 . (Traducción-Dr. Ingrid Melo ).

Assessment of a novel continuous cleaning device using metatranscriptomics in diverse hospital environments.

Introduction: Despite routine implementation of cleaning and disinfection practices in clinical healthcare settings, high-touch environmental surfaces and contaminated equipment often serve as reservoirs for the transmission of pathogens associated with healthcare-associated infections (HAIs). Methods: The current study involved the analysis of high-touch surface swabs using a metatranscriptomic sequencing workflow (CSI-Dx™) to assess the efficacy of cleanSURFACES® technology in decreasing microbial burden by limiting re-contamination. This is a non-human single center study conducted in the Emergency Department (ED) and on an inpatient Oncology Ward of Walter Reed National Military Medical Center that have followed hygienic practices during the COVID-19 pandemic environment. Results: Although there was no difference in observed microbial richness (two-tailed Wilcoxon test with Holm correction, P > 0.05), beta diversity findings identified shifts in microbial community structure between surfaces from baseline and post-intervention timepoints (Day 1, Day 7, Day 14, and Day 28). Biomarker and regression analyses identified significant reductions in annotated transcripts for various clinically relevant microorganisms' post-intervention, coagulase-negative staphylococci and Malassezia restricta, at ED and Oncology ward, respectively. Additionally, post-intervention samples predominantly consisted of Proteobacteria and to a lesser extent skin commensals and endogenous environmental microorganisms in both departments. Discussion: Findings support the value of cleanSURFACES®, when coupled with routine disinfection practices, to effectively impact on the composition of active microbial communities found on high-touch surfaces in two different patient care areas of the hospital (one outpatient and one inpatient) with unique demands and patient-centered practices.

Geochemistry and Multiomics Data Differentiate Streams in Pennsylvania Based on Unconventional Oil and Gas Activity.

Unconventional oil and gas (UOG) extraction is increasing exponentially around the world, as new technological advances have provided cost-effective methods to extract hard-to-reach hydrocarbons. While UOG has increased the energy output of some countries, past research indicates potential impacts in nearby stream ecosystems as measured by geochemical and microbial markers. Here, we utilized a robust data set that combines 16S rRNA gene amplicon sequencing (DNA), metatranscriptomics (RNA), geochemistry, and trace element analyses to establish the impact of UOG activity in 21 sites in northern Pennsylvania. These data were also used to design predictive machine learning models to determine the UOG impact on streams. We identified multiple biomarkers of UOG activity and contributors of antimicrobial resistance within the order Burkholderiales. Furthermore, we identified expressed antimicrobial resistance genes, land coverage, geochemistry, and specific microbes as strong predictors of UOG status. Of the predictive models constructed (n = 30), 15 had accuracies higher than expected by chance and area under the curve values above 0.70. The supervised random forest models with the highest accuracy were constructed with 16S rRNA gene profiles, metatranscriptomics active microbial composition, metatranscriptomics active antimicrobial resistance genes, land coverage, and geochemistry (n = 23). The models identified the most important features within those data sets for classifying UOG status. These findings identified specific shifts in gene presence and expression, as well as geochemical measures, that can be used to build robust models to identify impacts of UOG development. IMPORTANCE The environmental implications of unconventional oil and gas extraction are only recently starting to be systematically recorded. Our research shows the utility of microbial communities paired with geochemical markers to build strong predictive random forest models of unconventional oil and gas activity and the identification of key biomarkers. Microbial communities, their transcribed genes, and key biomarkers can be used as sentinels of environmental changes. Slight changes in microbial function and composition can be detected before chemical markers of contamination. Potential contamination, specifically from biocides, is especially concerning due to its potential to promote antibiotic resistance in the environment. Additionally, as microbial communities facilitate the bulk of nutrient cycling in the environment, small changes may have long-term repercussions. Supervised random forest models can be used to identify changes in those communities, greatly enhance our understanding of what such impacts entail, and inform environmental management decisions.

Herbs and Spices Modulate Gut Bacterial Composition in Adults at Risk for CVD: Results of a Prespecified Exploratory Analysis from a Randomized, Crossover, Controlled-Feeding Study.

BACKGROUND: Herbs and spices are rich in polyphenolic compounds that may influence gut bacterial composition. The effect of culinary doses of herbs and spices consumed as part of a well-defined dietary pattern on gut bacterial composition has not been previously studied. OBJECTIVES: The aim of this prespecified exploratory analysis was to examine gut bacterial composition following an average American diet (carbohydrate: 50% kcal; protein: 17%; total fat: 33%; saturated fat: 11%) containing herbs and spices at 0.5, 3.3, and 6.6 g.d-1.2100 kcal-1 [low-, moderate-, and high-spice diets, respectively (LSD, MSD, and HSD)] in adults at risk for CVD. METHODS: Fifty-four adults (57% female; mean ± SD age: 45 ± 11 y; BMI: 29.8 ± 2.9 kg/m2; waist circumference: 102.8 ± 7.1 cm) were included in this 3-period, randomized, crossover, controlled-feeding study. Each diet was provided for 4 wk with a minimum 2-wk washout period. At baseline and the end of each diet period, participants provided a fecal sample for 16S rRNA gene (V4 region) sequencing. QIIME2 was used for data filtration, sequence clustering, taxonomy assignment, and statistical analysis. RESULTS: α-diversity assessed by the observed features metric ( P = 0.046) was significantly greater following the MSD as compared with the LSD; no other between-diet differences in α-diversity were detected. Differences in ß-diversity were not observed between the diets ( P = 0.45). Compared with baseline, ß-diversity differed following all diets ( P < .02). Enrichment of the Ruminococcaceae family was observed following the HSD as compared with the MSD (relative abundance = 22.14%, linear discriminant analysis = 4.22, P = 0.03) and the LSD (relative abundance = 24.90%, linear discriminant analysis = 4.47, P = 0.004). CONCLUSIONS: The addition of herbs and spices to an average American diet induced shifts in gut bacterial composition after 4 wk in adults at risk for CVD. The metabolic implications of these changes merit further investigation. This trial was registered at clinicaltrials.gov as NCT03064932.

Exercise Training Reverses Gut Dysbiosis in Patients With Biopsy-Proven Nonalcoholic Steatohepatitis: A Proof of Concept Study.

Nonalcoholic fatty liver disease is the leading cause of liver disease worldwide and can progress to nonalcoholic steatohepatitis (NASH) through physical inactivity and gut dysbiosis.1 Exercise training reverses gut dysbiosis in non-NASH persons with obesity and in NASH animal models.2,3 Consequently, we conducted a proof-of-concept study investigating the effect of exercise training on gut dysbiosis in NASH patients.