560 research outputs found
Radon concentration in self-bottled mineral spring waters as a possible public health issue
Since 2013, the Council Directive 2013/51/Euratom has been regulating the content of radioactive substances in water intended for human consumption. However, mineral waters are exempted from this regulation, including self-bottled springs waters, where higher radon concentration are expected. Therefore, a systematic survey has been conducted on all the 33 mineral spring waters of Lazio (a region of Central Italy) in order to assess if such waters, when self-bottled, may be of concern for public health. Waters have been sampled in two different ways to evaluate the impact of bottling on radon concentration. Water sampling was possible for 20 different spring waters, with 6 samples for each one. The results show that 2 (10%) of measured mineral spring waters returned radon concentrations higher than 100 Bq L−1, i.e., the parametric value established by the Council Directive. These results, if confirmed by other surveys involving a higher number of mineral spring waters, would suggest regulating also these waters, especially in countries like Italy for which: (i) mineral water consumption is significant; (ii) mineral concession owners generally allow the consumers to fill bottles and containers, intended for transport and subsequent consumption, directly from public fountains or from fountains within the plant; (iii) the consumers’ habit of drinking self-bottled mineral water is widespread
RIP1-HAT1-SirT complex identification and targeting in treatment and prevention of cancer
Purpose: Alteration in cell death is a hallmark of cancer. A functional role regulating survival, apoptosis, and necroptosis has been attributed to RIP1/3 complexes.Experimental Design: We have investigated the role of RIP1 and the effects of MC2494 in cell death induction, using different methods as flow cytometry, transcriptome analysis, immunoprecipitation, enzymatic assays, transfections, mutagenesis, and in vivo studies with different mice models.Results: Here, we show that RIP1 is highly expressed in cancer, and we define a novel RIP1/3-SIRT1/2-HAT1/4 complex. Mass spectrometry identified five acetylations in the kinase and death domain of RIP1. The novel characterized pan-SIRT inhibitor, MC2494, increases RIP1 acetylation at two additional sites in the death domain. Mutagenesis of the acetylated lysine decreases RIP1-dependent cell death, suggesting a role for acetylation of the RIP1 complex in cell death modulation. Accordingly, MC2494 displays tumor-selective potential in vitro, in leukemic blasts ex vivo, and in vivo in both xenograft and allograft cancer models. Mechanistically, MC2494 induces bona fide tumor-restricted acetylated RIP1/caspase-8-mediated apoptosis. Excitingly, MC2494 displays tumor-preventive activity by blocking 7,12-dimethylbenz(α)anthracene-induced mammary gland hyperproliferation in vivoConclusions: These preventive features might prove useful in patients who may benefit from a recurrence-preventive approach with low toxicity during follow-up phases and in cases of established cancer predisposition. Thus, targeting the newly identified RIP1 complex may represent an attractive novel paradigm in cancer treatment and prevention
Probing host pathogen cross-talk by transcriptional profiling of both Mycobacterium tuberculosis and infected human dendritic cells and macrophages
This study provides the proof of principle that probing the host and the microbe transcriptomes simultaneously is a valuable means to accessing unique information on host pathogen interactions. Our results also underline the extraordinary plasticity of host cell and pathogen responses to infection, and provide a solid framework to further understand the complex mechanisms involved in immunity to M. tuberculosis and in mycobacterial adaptation to different intracellular environments
Identifying Candidates for Protein-Protein Interaction: A Focus on NKp46’s Ligands
Recent advances in protein-protein interaction (PPI) research have harnessed the power of artificial intelligence (AI) to enhance our understanding of protein behaviour. These approaches have become indispensable tools in the field of biology and medicine, enabling scientists to uncover hidden connections and predict novel interactions. The experimental processes to analyze and validate the interactions between proteins are usually expensive and time-consuming and with this work, we can reduce these costs by strategically filtering and computationally validating the possible proteins which might take part in the interactions at hand. Aiming at helping in broadening the repertoire of known interacting proteins, we present a method for the systematic screening of proteins that exhibit a high affinity for the interaction with a chosen protein. Specifically, building upon already known protein interactions, we exploit the self-explainability of the deep learning model DSCRIPT to search and find promising protein candidates for a determined PPI. We analyze and rank the candidates using various strategies, and then employ AlphaFold2 to validate the resulting interactions. Consequently, we compare our AI-driven methodology with traditional bioinformatics approaches commonly used to find potential protein candidates. Throughout the overall process, explanatory data is obtained, among which is an informative contact map that elucidates the potential interaction between a protein of the known interaction and the predicted proteins. As a case study, we apply our method to deepen our understanding of NKp46’s ligands repertoire, which is yet not fully uncovered
Integrating Traditional Healers into the Health Care System:Challenges and Opportunities in Rural Northern Ghana
Traditional medicine is widespread in Ghana, with 80% of Ghanaians relying on its methods for primary health care. This paper argues that integrating traditional and biomedical health systems expands the reach and improves outcomes of community health care. Moving beyond literature, it stresses the importance of trust-relationships between healers and biomedical staff. Insights are based on qualitative research conducted in Ghana’s Northern Region (2013–2014). Five challenges to integration emerged out of the data: a lack of understanding of traditional medicine, discrimination, high turnover of biomedical staff, declining interest in healing as a profession, and equipment scarcity. Besides challenges, opportunities for integration exist, including the extensive infrastructure of traditional medicine, openness to collaboration, and grassroots initiatives. Contemplating challenges and opportunities this paper provides recommendations for integration, including: identify/select healers, promote best practices, institute appropriate forms of appreciation/recognition of healers, provide aid and equipment, use communication campaigns to promote integration and steer attitudinal change towards healers among biomedical staff. Most crucial, we argue successful implementation of these recommendations depends on a concerted investment in relationships between healers and biomedical staff
Essential oils and their main chemical components: the past 20 years of preclinical studies in melanoma
The last two decades have seen the development of effective therapies, which have saved the lives of a large number of melanoma patients. However, therapeutic options are still limited for patients without BRAF mutations or in relapse from current treatments, and severe side effects often occur during therapy. Thus, additional insights to improve treatment efficacy with the aim to decrease the likelihood of chemoresistance, as well as reducing side effects of current therapies, are required. Natural products offer great opportunities for the discovery of antineoplastic drugs, and still represent a useful source of novel molecules. Among them, essential oils, representing the volatile fraction of aromatic plants, are always being actively investigated by several research groups and show promising biological activities for their use as complementary or alternative medicine for several diseases, including cancer. In this review, we focused on studies reporting the mechanism through which essential oils exert antitumor action in preclinical wild type or mutant BRAF melanoma models. We also discussed the latest use of essential oils in improving cancer patients’ quality of life. As evidenced by the many studies listed in this review, through their effect on apoptosis and tumor progression-associated properties, essential oils can therefore be considered as potential natural pharmaceutical resources for cancer management
Genome-wide genotyping demonstrates a polygenic risk score associated with white matter hyperintensity volume in CADASIL
Background and Purpose—White matter hyperintensities (WMH) on MRI are a quantitative marker for sporadic cerebral small vessel disease and are highly heritable. To date, large-scale genetic studies have identified only a single locus influencing WMH burden. This might in part relate to biological heterogeneity of sporadic WMH. The current study searched for genetic modifiers of WMH volume in cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), a monogenic small vessel disease.
Methods—We performed a genome-wide association study to identify quantitative trait loci for WMH volume by combining data from 517 CADASIL patients collected through 7 centers across Europe. WMH volumes were centrally analyzed and quantified on fluid attenuated inversion recovery images. Genotyping was performed using the Affymetrix 6.0 platform. Individuals were assigned to 2 distinct genetic clusters (cluster 1 and cluster 2) based on their genetic background.
Results—Four hundred sixty-six patients entered the final genome-wide association study analysis. The phenotypic variance of WMH burden in CADASIL explained by all single nucleotide polymorphisms in cluster 1 was 0.85 (SE=0.21), suggesting a substantial genetic contribution. Using cluster 1 as derivation and cluster 2 as a validation sample, a polygenic score was significantly associated with WMH burden (P=0.001) after correction for age, sex, and vascular risk factors. No single nucleotide polymorphism reached genome-wide significance.
Conclusions—We found a polygenic score to be associated with WMH volume in CADASIL subjects. Our findings suggest that multiple variants with small effects influence WMH burden in CADASIL. The identification of these variants and the biological pathways involved will provide insights into the pathophysiology of white matter disease in CADASIL and possibly small vessel disease in general
Caratterizzazione chimica quali-quantitativa della fase vapore degli oli essenziali
Gli oli essenziali sono prodotti naturali estratti da piante che generalmente presentano una composizione chimica piuttosto complessa. Si tratta di miscele ricche di composti volatili e termolabili come monoterpeni, sesquiterpeni e loro derivati ossigenati. La gascromatografia accoppiata alla spettrometria di massa è ampiamente utilizzata come tecnica analitica di separazione per l'identificazione e la quantificazione dei costituenti volatili della miscela chimica. La tecnica dello spazio di testa (HS) accoppiata al sistema cromatografico viene applicata come metodo di estrazione della fase vapore. Il campione, posto in una fiala chiusa viene riscaldato ad una temperatura tale da favorire il passaggio dei composti nella fase vapore. Tramite l’utilizzo di un gas inerte (He), avviene l’estrazione di tali componenti che verranno convogliati al gas cromatografo mediante l’utilizzo di una transfer-line. Si tratta di una tecnica estrattiva facilmente applicabile e particolarmente efficace soprattutto quando i composti volatili devono essere separati da una matrice liquida prima dell'analisi gas cromatografica evitando così una serie di problematiche legate all' uso dei solventi di estrazione
Quality of life, depression and fatigue in mildly disabled patients with relapsing-remitting multiple sclerosis receiving subcutaneous interferon beta-1a: 3-year results from the COGIMUS (COGnitive Impairment in MUltiple Sclerosis) study.
BACKGROUND: The precise relationships among quality of life, depression, fatigue and cognitive impairment in multiple sclerosis (MS) are complex and poorly understood.
OBJECTIVE: To assess the effects of subcutaneous interferon beta-1a on quality of life, depression and fatigue over 3 years in the COGIMUS study, and to examine the relationship between these outcomes and baseline cognitive status.
METHODS: COGIMUS was an observational 3-year trial assessing cognitive function in 459 patients with relapsing-remitting MS treated with subcutaneous interferon beta-1a.
RESULTS: In total, 331 patients completed the study (168 received interferon beta-1a, 44 µg subcutaneously three times weekly, and 163 received interferon beta-1a, 22 µg subcutaneously three times weekly). Mean MS Quality of Life-54 (MSQoL-54) composite scores did not change over time. There were no significant differences between groups in MSQoL-54 composite scores when patients were grouped by treatment dose and baseline cognitive status. Mean (standard deviation) Hamilton Depression Rating Scale score decreased from 6.8 (4.9) at baseline to 5.8 (5.9) at year 3. Mean total Fatigue Impact Scale scores were low (<30) at all time points.
CONCLUSION: Quality of life, depression and fatigue remained largely stable over 3 years; no effects of treatment dose or baseline cognitive status were found
Effects of immunomodulatory treatment with subcutaneous interferon beta-1a oncognitive decline in mildly disabled patients with relapsing-remitting multiple sclerosis
The objective of this study was to assess the effects of subcutaneous (sc) interferon beta-1a (IFNbeta-1a) on cognition in mildly disabled patients with relapsing-remitting multiple sclerosis (RRMS). Patients aged 18-50 years with RRMS (McDonald criteria; Expanded Disability Status Scale score <or=4.0) were assigned IFNbeta therapy at the physician's discretion and underwent standardized magnetic resonance imaging, neurological examination and neuropsychological testing at the baseline and regular intervals for up to three years. This analysis included 459 patients who received sc IFNbeta-1a (44 mcg: n = 236; 22 mcg: n = 223; three-year follow up was available for 318 patients). The hazard ratio for cognitive impairment over three years (44 mcg versus 22 mcg) was 0.68 (95% confidence interval [CI]: 0.480-0.972), suggesting a 32% lower risk with the higher dose treatment. At year 3, the proportion of patients who were cognitively impaired increased slightly from 23.5% at the baseline to 24.8% in the IFNbeta-1a 22 mcg treatment group, but remained stable at 15.2% in the IFNbeta-1a 44 mcg treatment group. The proportion of patients with cognitive impairment at year 3 was significantly higher in the 22 mcg group than in the 44 mcg group (P = 0.03), although a trend was also seen at the baseline (P = 0.058). Multivariate logistic regression (corrected for baseline cognitive deficits) indicated that treatment with the higher dose of IFNbeta-1a was predictive of lower cognitive impairment at three years (odds ratio: 0.51, 95% CI: 0.26-0.99) compared with the lower dose of IFNbeta-1a. These findings suggest that sc IFNbeta-1a may have dose-dependent cognitive benefits in mildly disabled patients with RRMS, and may support early initiation of high-dose IFNbeta-1a treatment
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