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The widespread use of recycled manure solids (RMS) as cow bedding material is not without risks, because cattle manure may act as a vehicle for pathogenic and antimicrobial-resistant bacteria dissemination. Thus, our aim was to evaluate RMS supplemented with a pine biochar produced in Portugal as a new cow bedding material, because the use of biochar has been shown to have the potential to mitigate the effect of relevant bacterial species when added to animal manure microbiota. Our experimental setup consisted on fresh RMS samples that were collected on a commercial dairy farm and placed in naturally-ventilated containers for a total of 4 groups: (1) nonsupplemented RMS, (2) RMS supplemented with 2.5% (wt/wt) of biochar, (3) RMS supplemented with 5% (wt/wt) of biochar, and (4) RMS supplemented with 10% (wt/wt) of biochar. Sampling was performed at 4 different incubation times (0, 5, 15, and 30 d) and in 2 distinct seasons: April through May (humid season) and June through July (dry season). The resulting 32 samples were subjected to DNA extraction and their microbiome profile determined through complete 16S rDNA gene sequencing using Nanopore next-generation sequencing. We observed that biochar supplementation clearly altered the microbiome of RMS, which was reflected in changes in populations' diversity and the relative abundance of relevant pathogenic bacteria. In particular, we found that long-term storage (30 d) was more beneficial than short-term storage, an effect that was more evident for samples supplemented with 2.5% or 5% biochar. In both seasons, those concentrations of biochar led to a decrease in the levels of several mastitis-causing agents (Enterobacteriaceae, streptococci, enterococci, and staphylococci). In addition, we also observed a reduction in the levels of Salmonella spp. and gram-positive bacilli in the biochar-supplemented samples. Unexpectedly, however, those same conditions yielded an increase in the abundance of Brucella spp., a group that includes important infectious agents, highlighting the need for a deeper evaluation of the effect of biochar supplementation of RMS to ensure the future safe and sustainable use of this environmentally-friendly resource in animal production.
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http://dx.doi.org/10.3168/jds.2024-25616 | DOI Listing |
Sci Adv
September 2025
Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX 78227, USA.
Despite effective antiretroviral therapy (ART), people with HIV (PWH) experience persistent inflammation and metabolic dysfunction, increasing their risk for non-AIDS comorbidities. Accordingly, we evaluated the effects of long-term/low-dose Δ-tetrahydrocannabinol (THC) supplementation in simian immunodeficiency virus (SIV)-infected, ART-treated rhesus macaques (RMs). THC significantly increased plasma/jejunum serotonin and indole-3-propionate, enhancing gut-brain communication through up-regulation of serotonin receptors (HTR4/HTR7) and aryl hydrocarbon receptor (Ahr) signaling via a cannabinoid receptor (CBR)-2-mediated mechanism.
View Article and Find Full Text PDFArthroplasty
August 2025
Department of Orthopaedic Surgery, Jawaharlal Nehru Medical College, AMU, Aligarh, 202001, India.
The treatment for an acute Periprosthetic Joint Infection (PJI) is historically described using the acronym DAIR (Debridement, Antibiotics, Implant Retention). However, this acronym, by intention, does not imply that the modular parts of an implant system are always exchanged. There are many circumstances where modular exchange is not possible.
View Article and Find Full Text PDFChem Pharm Bull (Tokyo)
July 2025
National Institute of Health Sciences (NIHS), 3-25-25 Tonomachi, Kawasaki-ku, Kawasaki 210-9501, Japan.
Recently, a chromatographic quantitative method using relative molar sensitivity (RMS), the so-called RMS method, was developed for the determination of target analytes in food additives, drugs, and supplements. By determining the RMS value of the analyte to a different reference compound, this method avoids the need for an analytical standard of the analyte itself to plot calibration curves for quantification. In this collaborative study performed by 10 laboratories, we demonstrated the robustness and reliability of the RMS method in the quantitative analysis of chlorogenic acid (5-O-caffeoylquinic acid, 5CQA) in apple juice.
View Article and Find Full Text PDFGenome Biol
July 2025
Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Background: Limited ancestral diversity has impaired our ability to detect risk variants more prevalent in ancestry groups of predominantly non-European ancestral background in genome-wide association studies (GWAS). We construct and analyze a multi-ancestry GWAS dataset in the Alzheimer's Disease Genetics Consortium (ADGC) to test for novel shared and population-specific late-onset Alzheimer's disease (LOAD) susceptibility loci and evaluate underlying genetic architecture in 37,382 non-Hispanic White (NHW), 6728 African American, 8899 Hispanic (HIS), and 3232 East Asian individuals, performing within ancestry fixed-effects meta-analysis followed by a cross-ancestry random-effects meta-analysis.
Results: We identify 13 loci with cross-population associations including known loci at/near CR1, BIN1, TREM2, CD2AP, PTK2B, CLU, SHARPIN, MS4A6A, PICALM, ABCA7, APOE, and two novel loci not previously reported at 11p12 (LRRC4C) and 12q24.
NPJ Precis Oncol
June 2025
Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, USA.
In precision medicine, DNA-based assays are currently necessary but not always sufficient for predicting therapeutic efficacy of cancer drugs based on the mutational findings in a patient's tumor specimen. Most drugs target proteins, but it is challenging and not yet cost-effective to perform high-throughput proteomics profiling, including mutational analysis, on cancer specimens. RNA may be an effective mediator for bridging the "DNA to protein divide" and provide more clarity and therapeutic predictability for precision oncology.
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