Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors.

INTRODUCTION: Human metabolomics has made significant strides in understanding metabolic changes and their implications for human health, with promising applications in diagnostics and treatment, particularly regarding the gut microbiome. However, progress is hampered by issues with data comparability and reproducibility across studies, limiting the translation of these discoveries into practical applications. OBJECTIVES: This study aims to evaluate the fit-for-purpose of a suite of human stool samples as potential candidate reference materials (RMs) and assess the state of the field regarding harmonizing gut metabolomics measurements. METHODS: An interlaboratory study was conducted with 18 participating institutions. The study allowed for the use of preferred analytical techniques, including liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance (NMR). RESULTS: Different laboratories used various methods and analytical platforms to identify the metabolites present in human stool RM samples. The study found a 40% to 70% recurrence in the reported top 20 most abundant metabolites across the four materials. In the full annotation list, the percentage of metabolites reported multiple times after nomenclature standardization was 36% (LC-MS), 58% (GC-MS) and 76% (NMR). Out of 9,300 unique metabolites, only 37 were reported across all three measurement techniques. CONCLUSION: This collaborative exercise emphasized the broad chemical survey possible with multi-technique approaches. Community engagement is essential for the evaluation and characterization of common materials designed to facilitate comparability and ensure data quality underscoring the value of determining current practices, challenges, and progress of a field through interlaboratory studies.

Associations between SARS-CoV-2 Infection or COVID-19 Vaccination and Human Milk Composition: A Multi-Omics Approach.

BACKGROUND: The risk of contracting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) via human milk-feeding is virtually nonexistent. Adverse effects of coronavirus disease 2019 (COVID-19) vaccination for lactating individuals are not different from the general population, and no evidence has been found that their infants exhibit adverse effects. Yet, there remains substantial hesitation among this population globally regarding the safety of these vaccines. OBJECTIVES: Herein, we aimed to determine if compositional changes in milk occur following SARS-CoV-2 infection or COVID-19 vaccination, including any evidence of vaccine components. METHODS: An extensive multiomics approach was taken using a subset of milk samples obtained as part of our broad studies examining the effects on milk of SARS-CoV-2 infection and COVID-19 vaccination. RESULTS: We found that compared with unvaccinated individuals, SARS-CoV-2 infection was associated with significant compositional differences in 67 proteins, 385 lipids, and 13 metabolites. In contrast, COVID-19 vaccination was not associated with any changes in lipids or metabolites, although it was associated with changes in 13 or fewer proteins. Compositional changes in milk differed by vaccine. Changes following vaccination were greatest after 1-6 h for the mRNA-based Moderna vaccine (8 changed proteins), 3 d for the mRNA-based Pfizer (4 changed proteins), and adenovirus-based Johnson and Johnson (13 changed proteins) vaccines. Proteins that changed after both natural infection and Johnson and Johnson vaccine were associated mainly with systemic inflammatory responses. In addition, no vaccine components were detected in any milk sample. CONCLUSIONS: Together, our data provide evidence of only minimal changes in milk composition because of COVID-19 vaccination, with much greater changes after natural SARS-CoV-2 infection.

Exploring the ideas of young healthcare professionals from selected countries regarding rural proofing.

INTRODUCTION: Globally, most countries struggle to meet the health needs of rural communities. This has resulted in rural areas performing poorly when compared to urban areas in terms of a range of health indicators. There have been few coherent or systematic strategies that target rural communities and address their needs within the rural context. Rural proofing, defined as the systematic application of a rural lens across policies and guidelines to ensure that they speak to these health needs, seeks to address this gap. The healthcare professionals (HCPs) who will be called upon to advocate for and lead the implementation of rural proofing efforts are those currently in training or early career stages. We thus sought to understand the perspectives of young HCPs regarding the concept of rural proofing. METHODS: The study adopted an interpretivist paradigm. Data were collected using semi-structured individual interviews and focus group discussions (FGDs). Selected HCPs who are in leadership in Rural Seeds, a movement for young HCPs, participated in the study. FGDs in the form of Rural Cafés were led by some Rural Seeds leaders who participated in the interviews and who showed interest in organising the discussions. Eleven exploratory interviews and six FGDs were conducted using Zoom. HCPs were from Australia, Europe, Africa, North America, South America, and Asia. Interviews and FGDs were conducted in English, recorded, and transcribed verbatim. Thematic analysis was then undertaken. RESULTS: Participants perceived the state of rural healthcare globally to be problematic. Access to care was seen as the most significant issue in rural health care, associated with the challenges of lack of equity in access, and limited funding and support for healthcare professionals and their career pathways. Despite varying understanding of the concept, rural proofing was seen to be of great value in improving rural health care. A number of ideas for applying rural proofing, with examples, were proposed from their perspectives as frontline healthcare providers. They particularly recognised the importance of addressing the local needs of rural communities and the needs of present and future HCPs. Implementation of rural proofing was seen to require the involvement of key stakeholders from a range of sectors at multiple levels. CONCLUSION: Given the state of rural health, young rural HCPs suggest that rural proofing strategies are needed as they have the potential to bring about equity in the delivery of health care in rural and remote communities. These strategies will assist in creating a more positive future for rural health care worldwide and motivate young HCPs to become involved in rural health care, as well as to increase their motivation to take an interest in health policy development. These strategies need to be applied at multiple levels, from national government to local contexts. It is also seen to be critically important to involve multiple levels of stakeholders, from politicians to healthcare providers and community members, in the process of rural proofing.

Media matters! Alterations in the loading and release of Histoplasma capsulatum extracellular vesicles in response to different nutritional milieus.

Histoplasma capsulatum is a dimorphic fungus that most frequently causes pneumonia, but can also disseminate and proliferate in diverse tissues. Histoplasma capsulatum has a complex secretion system that mediates the release of macromolecule-degrading enzymes and virulence factors. The formation and release of extracellular vesicles (EVs) are an important mechanism for non-conventional secretion in both ascomycetes and basidiomycetes. Histoplasma capsulatum EVs contain diverse proteins associated with virulence and are immunologically active. Despite the growing knowledge of EVs from H. capsulatum and other pathogenic fungi, the extent that changes in the environment impact the sorting of organic molecules in EVs has not been investigated. In this study, we cultivated H. capsulatum with distinct culture media to investigate the potential plasticity in EV loading in response to differences in nutrition. Our findings reveal that nutrition plays an important role in EV loading and formation, which may translate into differences in biological activities of these fungi in various fluids and tissues.

Implication of salt stress induces changes in pigment production, antioxidant enzyme activity, and qRT-PCR expression of genes involved in the biosynthetic pathway of Bixa orellana L.

The effect of salt stress on pigment synthesis and antioxidant enzyme activity as well as in the genes involved in the biosynthetic pathway of bixin was studied. The 14-day germinated seedlings of Bixa orellana were induced into the various NaCl concentration (0, 25, 50, 75, 100 mM). After 45 days, leaves were taken for pigment analysis, antioxidant assays, and gene expression analysis to study the response of salt stress. The pigment content such as chlorophyll level was increased upon salt stress with a reduction in total carotenoid clearly indicating the adaptability of plants towards the stressed state. The level of ß-carotene was increased in the highest concentration of salt stress treatment. The secondary metabolites such as bixin and abscisic acid (ABA) content were also high in elevated concentration of salt-treated seedling than control. The antioxidant enzyme activity was increased with the highest dose of salt stress suggesting the antioxidant enzymes to protect the plant from the deleterious effects. The mRNA transcript gene of the carotenoid biosynthetic pathway such as phytoene synthase (PSY), 1-deoxyxylulose-5-phosphate synthase (DXS), phytoene desaturase (PDS), beta-lycopene cyclase (LCY-ß), epsilon lycopene cyclase (LCY-ε), carboxyl methyl transferase (CMT), aldehyde dehydrogenase (ADH), lycopene cleavage dioxygenase (LCD), and carotenoid cleavage dioxygenase (CCD) showed differential expression pattern under salt stress. In addendum, we studied the co-expression network analysis of gene to assess the co-related genes associated in the biosynthesis pathway of carotenoid. From the co-expression analysis result showed, the LCY, PDS, and PSY genes were closely correlated with other genes. These finding may provide insight to the plants to exist in the stress condition and to improve the industrially important pigment production.

New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells.

Mass-spectrometry based omics technologies - namely proteomics, metabolomics and lipidomics - have enabled the molecular level systems biology investigation of organisms in unprecedented detail. There has been increasing interest for gaining a thorough, functional understanding of the biological consequences associated with cellular heterogeneity in a wide variety of research areas such as developmental biology, precision medicine, cancer research and microbiome science. Recent advances in mass spectrometry (MS) instrumentation and sample handling strategies are quickly making comprehensive omics analyses of single cells feasible, but key breakthroughs are still required to push through remaining bottlenecks. In this review, we discuss the challenges faced by single cell MS-based omics analyses and highlight recent technological advances that collectively can contribute to comprehensive and high throughput omics analyses in single cells. We provide a vision of the potential of integrating pioneering technologies such as Structures for Lossless Ion Manipulations (SLIM) for improved sensitivity and resolution, novel peptide identification tactics and standards free metabolomics approaches for future applications in single cell analysis.

Identification of novel heterozygous Apex 1 gene variant (Glu87Gln) in patients with head and neck cancer of Indian origin.

Gene polymorphism among humans is one of the factors governing individual's susceptibility and resistance to various diseases including cancer. DNA repair enzymes play an important role in protecting our genome from various mutagens and preventing cancer. The role of DNA repair enzyme Apurinic/Apyrimidinic endodeoxyribonuclease 1 (Apex 1) in cancer has been very well documented. Using genomic DNA, Apex 1 coding region of 76 patients (n = 76) with head and neck cancer were amplified and sequenced to detect variations in the sequence. Of 76 patients, 1 patient with heterozygous novel Apex 1 variant (Glu87Gln) was identified. A comparative analysis of wild type and variant protein using in silico approach was performed to understand the difference in the structure and the function. This further revealed that the variant had a slight impact on the structure, which affected the stability and function of the protein. Using the state-of-the-art Molecular dynamic simulation analysis, we observed a loss in number of hydrogen bonds and salt bridge with a substitution of Gln for Glu at Position 87. This could be a possible reason behind the loss of stability/function of the protein. This study revealed a new variant of the Apex 1 gene; further studies will lead to the novel roles played by the variant Apex 1 protein in cause, disease progression, and response to the treatment in patients with cancer with Glu87Gln variant.

A profound computational study to prioritize the disease-causing mutations in PRPS1 gene.

Charcot-Marie-Tooth disease (CMT) is one of the most commonly inherited congenital neurological disorders, affecting approximately 1 in 2500 in the US. About 80 genes were found to be in association with CMT. The phosphoribosyl pyrophosphate synthetase 1 (PRPS1) is an essential enzyme in the primary stage of de novo and salvage nucleotide synthesis. The mutations in the PRPS1 gene leads to X-linked Charcot-Marie-Tooth neuropathy type 5 (CMTX5), PRS super activity, Arts syndrome, X-linked deafness-1, breast cancer, and colorectal cancer. In the present study, we obtained 20 missense mutations from UniProt and dbSNP databases and applied series of comprehensive in silico prediction methods to assess the degree of pathogenicity and stability. In silico tools predicted four missense mutations (D52H, M115 T, L152P, and D203H) to be potential disease causing mutations. We further subjected the four mutations along with native protein to 50 ns molecular dynamics simulation (MDS) using Gromacs package. The resulting trajectory files were analyzed to understand the stability differences caused by the mutations. We used the Root Mean Square Deviation (RMSD), Radius of Gyration (Rg), solvent accessibility surface area (SASA), Covariance matrix, Principal Component Analysis (PCA), Free Energy Landscape (FEL), and secondary structure analysis to assess the structural changes in the protein upon mutation. Our study suggests that the four mutations might affect the PRPS1 protein function and stability of the structure. The proposed study may serve as a platform for drug repositioning and personalized medicine for diseases that are caused by the PRPS1 deficiency.

Computational approach to unravel the impact of missense mutations of proteins (D2HGDH and IDH2) causing D-2-hydroxyglutaric aciduria 2.

The 2-hydroxyglutaric aciduria (2-HGA) is a rare neurometabolic disorder that leads to the development of brain damage. It is classified into three categories: D-2-HGA, L-2-HGA, and combined D,L-2-HGA. The D-2-HGA includes two subtypes: type I and type II caused by the mutations in D2HGDH and IDH2 proteins, respectively. In this study, we studied six mutations, four in the D2HGDH (I147S, D375Y, N439D, and V444A) and two in the IDH2 proteins (R140G, R140Q). We performed in silico analysis to investigate the pathogenicity and stability changes of the mutant proteins using pathogenicity (PANTHER, PhD-SNP, SIFT, SNAP, and META-SNP) and stability (i-Mutant, MUpro, and iStable) predictors. All the mutations of both D2HGDH and IDH2 proteins were predicted as disease causing except V444A, which was predicted as neutral by SIFT. All the mutants were also predicted to be destabilizing the protein except the mutants D375Y and N439D. DSSP plugin of the PyMOL and Molecular Dynamics Simulations (MDS) were used to study the structural changes in the mutant proteins. In the case of D2HGDH protein, the mutations I147S and V444A that are positioned in the beta sheet region exhibited higher Root Mean Square Deviation (RMSD), decrease in compactness and number of intramolecular hydrogen bonds compared to the mutations N439D and D375Y that are positioned in the turn and loop region, respectively. While the mutants R140Q and R140QG that are positioned in the alpha helix region of the protein. MDS results revealed the mutation R140Q to be more destabilizing (higher RMSD values, decrease in compactness and number of intramolecular hydrogen bonds) compared to the mutation R140G of the IDH2 protein. This study is expected to serve as a platform for drug development against 2-HGA and pave the way for more accurate variant assessment and classification for patients with genetic diseases.

Impact of missense mutations in survival motor neuron protein (SMN1) leading to Spinal Muscular Atrophy (SMA): A computational approach.

Spinal muscular atrophy (SMA) is a neuromuscular disorder caused by the mutations in survival motor neuron 1 gene (SMN1). The molecular pathology of missense mutations in SMN1 is not thoroughly investigated so far. Therefore, we collected all missense mutations in the SMN1 protein, using all possible search terms, from three databases (PubMed, PMC and Google Scholar). All missense mutations were subjected to in silico pathogenicity, conservation, and stability analysis tools. We used statistical analysis as a QC measure for validating the specificity and accuracy of these tools. PolyPhen-2 demonstrated the highest specificity and accuracy. While PolyPhen-1 showed the highest sensitivity; overall, PolyPhen2 showed better measures in comparison to other in silico tools. Three mutations (D44V, Y272C, and Y277C) were identified as the most pathogenic and destabilizing. Further, we compared the physiochemical properties of the native and the mutant amino acids and observed loss of H-bonds and aromatic stacking upon the cysteine to tyrosine substitution, which led to the loss of aromatic rings and may reduce protein stability. The three mutations were further subjected to Molecular Dynamics Simulation (MDS) analysis using GROMACS to understand the structural changes. The Y272C and Y277C mutants exhibited maximum deviation pattern from the native protein as compared to D44V mutant. Further MDS analysis predicted changes in the stability that may have been contributed due to the loss of hydrogen bonds as observed in intramolecular hydrogen bond analysis and physiochemical analysis. A loss of function/structural impact was found to be severe in the case of Y272C and Y277C mutants in comparison to D44V mutation. Correlating the results from in silico predictions, physiochemical analysis, and MDS, we were able to observe a loss of stability in all the three mutants. This combinatorial approach could serve as a platform for variant interpretation and drug design for spinal muscular dystrophy resulting from missense mutations.

Molecular Modeling and Dynamic Simulation of Arabidopsis Thaliana Carotenoid Cleavage Dioxygenase Gene: A Comparison with Bixa orellana and Crocus Sativus.

Carotenoid cleavage dioxygenase (CCD) gene, ubiquitously found in numerous types of plants, are eminent in synthesizing the various volatile compounds (ß-ionone, C13 -norisoprenoid, geranylacetone) known as apocarotenoids. These apocarotenoids have various biological functions such as volatile signals, allelopathic interaction and plant defense. In Arabidopsis genome sequence, four potential CCD genes have been identified namely CCD1, CCD4, CCD7, and CCD8. These four genes give rise to diverse biological functions with almost similar sequence identity. In this investigation, an in silico analysis was proposed to study CCD proteins in Arabidopsis thaliana, aiming at constructing three-dimensional (3D) structure for CCD1 proteins of Bixa orellana and Crocus sativus to observe the structural difference among AtCCD (A. thaliana CCD) proteins. The quality of modeled structures was evaluated using RAMPAGE, PSVS protein validation server and Q Mean server. Finally, we utilised molecular dynamics simulation to identify the stability of the predicted CCD protein structures. The molecular dynamic simulation also revealed that AtCCD4 protein showed lesser stability when compared to other CCD proteins. Overall results from molecular dynamics analysis predicted that BoCCD1, CsCCD1, and AtCCD1 show similar structural characteristics. J. Cell. Biochem. 118: 2712-2721, 2017. © 2017 Wiley Periodicals, Inc.

DNA prime/protein boost vaccination elicits robust humoral response in rhesus macaques using oligomeric simian immunodeficiency virus envelope and Advax delta inulin adjuvant.

The partial success of the RV144 trial underscores the importance of envelope-specific antibody responses for an effective HIV-1 vaccine. Oligomeric HIV-1 envelope proteins delivered with a potent adjuvant are expected to elicit strong antibody responses with broad neutralization specificity. To test this hypothesis, two SIV envelope proteins were formulated with delta inulin-based adjuvant (Advax) and used to immunize nonhuman primates. Oligomeric gp140-gp145 from SIVmac251 and SIVsmE660 was purified to homogeneity. Oligomers showed high-affinity interaction with CD4 and were highly immunogenic in rabbits, inducing Tier 2 SIV-neutralizing antibodies. The immunogenicity of an oligomeric Env DNA prime and protein boost together with Advax was evaluated in Chinese rhesus macaques. DNA administration elicited antibodies to both envelopes, and titres were markedly enhanced following homologous protein boosts via intranasal and intramuscular routes. Strong antibody responses were detected against the V1 and V2 domains of gp120. During peak immune responses, a low to moderate level of neutralizing activity was detected against Tier 1A/1B SIV isolates, with a moderate level noted against a Tier 2 isolate. Increased serum antibody affinity to SIVmac251 gp140 and generation of Env-specific memory B cells were observed in the immunized macaques. Animals were subjected to low-dose intravaginal challenge with SIVmac251 one week after the last protein boost. One out of three immunized animals was protected from infection. Although performed with a small number of macaques, this study demonstrates the utility of oligomeric envelopes formulated with Advax in eliciting broad antibody responses with the potential to provide protection against SIV transmission.

Metabolomic and transcriptomic remodeling of bone marrow myeloid cells in response to maternal obesity.

Maternal obesity puts the offspring at high risk of developing obesity and cardio-metabolic diseases in adulthood. Here, using a mouse model of maternal high-fat diet (HFD)-induced obesity, we show that whole body fat content of the offspring of HFD-fed mothers (Off-HFD) increases significantly from very early age when compared to the offspring regular diet-fed mothers (Off-RD). We have previously shown significant metabolic and immune perturbations in the bone marrow of newly-weaned offspring of obese mothers. Therefore, we hypothesized that lipid metabolism is altered in the bone marrow Off-HFD in newly-weaned offspring of obese mothers when compared to the Off-RD. To test this hypothesis, we investigated the lipidomic profile of bone marrow cells collected from three-week-old offspring of regular and high fat diet-fed mothers. Diacylgycerols (DAGs), triacylglycerols (TAGs), sphingolipids and phospholipids, including plasmalogen, and lysophospholipids were remarkably different between the groups, independent of fetal sex. Levels of cholesteryl esters were significantly decreased in offspring of obese mothers, suggesting reduced delivery of cholesterol to bone marrow cells. This was accompanied by age-dependent progression of mitochondrial dysfunction in bone marrow cells. We subsequently isolated CD11b+ myeloid cells from three-week-old mice and conducted metabolomics, lipidomics, and transcriptomics analyses. The lipidomic profiles of these bone marrow myeloid cells were largely similar to that seen in bone marrow cells and included increases in DAGs and phospholipids alongside decreased TAGs, except for long-chain TAGs, which were significantly increased. Our data also revealed significant sex-dependent changes in amino acids and metabolites related to energy metabolism. Transcriptomic analysis revealed altered expression of genes related to major immune pathways including macrophage alternative activation, B-cell receptor signaling, TGFß signaling, and communication between the innate and adaptive immune systems. All told, this study revealed lipidomic, metabolomic, and gene expression abnormalities in bone marrow cells broadly, and in bone marrow myeloid cells particularly, in the newly-weaned offspring of obese mothers, which might at least partially explain the progression of metabolic and cardiovascular diseases in their adulthood.

PeakQC: A Software Tool for Omics-Agnostic Automated Quality Control of Mass Spectrometry Data.

Mass spectrometry is broadly employed to study complex molecular mechanisms in various biological and environmental fields, enabling 'omics' research such as proteomics, metabolomics, and lipidomics. As study cohorts grow larger and more complex with dozens to hundreds of samples, the need for robust quality control (QC) measures through automated software tools becomes paramount to ensure the integrity, high quality, and validity of scientific conclusions from downstream analyses and minimize the waste of resources. Since existing QC tools are mostly dedicated to proteomics, automated solutions supporting metabolomics are needed. To address this need, we developed the software PeakQC, a tool for automated QC of MS data that is independent of omics molecular types (i.e., omics-agnostic). It allows automated extraction and inspection of peak metrics of precursor ions (e.g., errors in mass, retention time, arrival time) and supports various instrumentations and acquisition types, from infusion experiments or using liquid chromatography and/or ion mobility spectrometry front-end separations and with/without fragmentation spectra from data-dependent or independent acquisition analyses. Diagnostic plots for fragmentation spectra are also generated. Here, we describe and illustrate PeakQC's functionalities using different representative data sets, demonstrating its utility as a valuable tool for enhancing the quality and reliability of omics mass spectrometry analyses.

Multi-scale signaling and tumor evolution in high-grade gliomas.

Although genomic anomalies in glioblastoma (GBM) have been well studied for over a decade, its 5-year survival rate remains lower than 5%. We seek to expand the molecular landscape of high-grade glioma, composed of IDH-wildtype GBM and IDH-mutant grade 4 astrocytoma, by integrating proteomic, metabolomic, lipidomic, and post-translational modifications (PTMs) with genomic and transcriptomic measurements to uncover multi-scale regulatory interactions governing tumor development and evolution. Applying 14 proteogenomic and metabolomic platforms to 228 tumors (212 GBM and 16 grade 4 IDH-mutant astrocytoma), including 28 at recurrence, plus 18 normal brain samples and 14 brain metastases as comparators, reveals heterogeneous upstream alterations converging on common downstream events at the proteomic and metabolomic levels and changes in protein-protein interactions and glycosylation site occupancy at recurrence. Recurrent genetic alterations and phosphorylation events on PTPN11 map to important regulatory domains in three dimensions, suggesting a central role for PTPN11 signaling across high-grade gliomas.

Catheter-based donor site analgesia after rib grafting: a prospective, randomized, double-blinded clinical trial comparing ropivacaine and bupivacaine.

PURPOSE: Although ribs provide the best source of cartilage for reconstruction, its harvesting is associated with significant postoperative pain and sometimes incapacitating functional deficit. The lack of studies in the maxillofacial literature on regional analgesia for rib harvests stimulated this study design. This study compared ropivacaine with bupivacaine in providing postoperative analgesia after rib harvest. PATIENTS AND METHODS: Patients who needed rib grafting for maxillofacial reconstructive procedures were enrolled in this prospective, randomized, double-blinded clinical trial. Patients were randomly allocated to 1 of 2 groups with different modalities of anesthesia against a control group. A catheter was embedded in the rib donor site in all patients. Patients in group A received 0.75% ropivacaine, those in group B received 0.5% bupivacaine, and those in croup C patients received normal saline and served as the controls. The outcome variables were the subjective and objective pain scores, the duration of action, and the efficacy of the drugs after rib harvest. Dependent variables were the need for a rescue analgesic by the patient and the duration of hospital stay. The subjective intensity of pain at rest was calculated using the visual analog scale. The objective pain scores at function were evaluated by comparing preoperative with postoperative values of incentive spirometry, breath-holding test, maximal chest expansion, and match-blowing test. The t test and paired samples test were used to the analyze data, and a P value less than .05 was considered significant. RESULTS: Forty-two patients were enrolled in this study. Patients in groups A and B showed significant pain relief compared with group C. Patients in group A showed significantly less pain at rest (2.8±0.894) compared with those in group B (3.7±0.875; P<.05). Patients in group A also showed significantly less in pain at function (3.8±0.894) compared with those in group B (4.7±0.923; P<.05). Patients in group A showed a minimal need for a rescue bolus compared with those in group B. The duration of action for ropivacaine was longer by a mean difference of 11 hours. No noteworthy difference was seen for the duration of stay in the hospital. CONCLUSIONS: The use of catheter-based analgesia after rib harvesting provides excellent postoperative comfort, with ropivacaine providing an earlier return to normal function compared with bupivacaine. The duration of action of ropivacaine was significantly longer and, hence, decreased the need for rescue analgesics.

Vulvar Complex Apocrine Carcinoma in a Horse (Equus caballus): A Case Report and Review of Literature.

A 6-year-old Marwari mare presented with recurrent vulvar growth. The growth was surgically excised, fixed and processed routinely. Microscopically, neoplasm showed proliferation of epithelial and myoepithelial cells with tubulopapillary pattern. On immunohistochemistry, myoepithelial cells showed strong immunoreactivity with smooth muscle actin alpha and p63. On basis of histopathology and immunohistochemistry, tumour was diagnosed as complex apocrine carcinoma. This case report describes first confirm vulvar complex apocrine carcinoma in equines.

Influence of soil depth, irrigation, and plant genotype on the soil microbiome, metaphenome, and carbon chemistry.

IMPORTANCE: Carbon is cycled through the air, plants, and belowground environment. Understanding soil carbon cycling in deep soil profiles will be important to mitigate climate change. Soil carbon cycling is impacted by water, plants, and soil microorganisms, in addition to soil mineralogy. Measuring biotic and abiotic soil properties provides a perspective of how soil microorganisms interact with the surrounding chemical environment. This study emphasizes the importance of considering biotic interactions with inorganic and oxidizable soil carbon in addition to total organic carbon in carbonate-containing soils for better informing soil carbon management decisions.

Graphene oxide exposure alters gut microbial community composition and metabolism in an in vitro human model.

Graphene oxide (GO) nanomaterials have unique physicochemical properties that make them highly promising for biomedical, environmental, and agricultural applications. There is growing interest in the use of GO and extensive in vitro and in vivo studies have been conducted to assess its nanotoxicity. Although it is known that GO can alter the composition of the gut microbiota in mice and zebrafish, studies on the potential impacts of GO on the human gut microbiome are largely lacking. This study addresses an important knowledge gap by investigating the impact of GO exposure- at low (25 mg/L) and high (250 mg/L) doses under both fed (nutrient rich) and fasted (nutrient deplete) conditions- on the gut microbial communitys' structure and function, using an in vitro model. This model includes simulated oral, gastric, small intestinal phase digestion of GO followed by incubation in a colon bioreactor. 16S rRNA amplicon sequencing revealed that GO exposure resulted in a restructuring of community composition. 25 mg/L GO induced a marked decrease in the Bacteroidota phylum and increased the ratio of Firmicutes to Bacteroidota (F/B). Untargeted metabolomics on the supernatants indicated that 25 mg/L GO impaired microbial utilization and metabolism of substrates (amino acids, carbohydrate metabolites) and reduced production of beneficial microbial metabolites such as 5-hydroxyindole-3-acetic acid and GABA. Exposure to 250 mg/L GO resulted in community composition and metabolome profiles that were very similar to the controls that lacked both GO and digestive enzymes. Differential abundance analyses revealed that 3 genera from the phylum Bacteroidota (Bacteroides, Dysgonomonas, and Parabacteroides) were more abundant after 250 mg/L GO exposure, irrespective of feed state. Integrative correlation network analysis indicated that the phylum Bacteroidota showed strong positive correlations to multiple microbial metabolites including GABA and 3-indoleacetic acid, are much larger number of correlations compared to other phyla. These results show that GO exposure has a significant impact on gut microbial community composition and metabolism at both low and high GO concentrations.

Fungal organic acid uptake of mineral-derived K is dependent on distance from carbon hotspot.

IMPORTANCE: Fungal species are foundational members of soil ecosystems with vital contributions that support interspecies resource translocation. The minute details of these biogeochemical processes are poorly investigated. Here, we addressed this knowledge gap by probing fungal growth in a novel mineral-doped soil micromodel platform using spatially-resolved imaging methodologies. We found that fungi uptake K from K-rich minerals using organic acids exuded in a distance-dependent manner from a carbon-rich hotspot. While identification of specific mechanisms within soil remains challenging, our findings demonstrate the significance of reduced complexity platforms such as the mineral-doped micromodel in probing biogeochemical processes. These findings provide visualization into hyphal uptake and transport of mineral-derived nutrients in a resource-limited environment.