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Volatile organic compounds (VOCs) have direct influences on air quality and climate. They indeed play a key role in atmospheric chemistry as precursors of secondary pollutants, such as ozone (O3) and secondary organic aerosols (SOA). In this respect, long-term datasets of in situ atmospheric measurements are crucial for characterizing the variability of atmospheric chemical composition, its sources, and trends. The ongoing establishment of the Aerosols, Cloud, and Trace gases Research InfraStructure (ACTRIS) allows implementation of the collection and provision of such high-quality datasets. In this context, online and continuous measurements of O3, nitrogen oxides (NOx), and aerosols have been carried out since 2012 at the SIRTA (Site Instrumental de Recherche par Télédétection Atmosphérique) observatory, located in the Paris region, France. Within the last decade, VOC measurements were conducted offline at SIRTA, until the implementation of real-time monitoring which started in January 2020 using a proton-transfer-reaction quadrupole mass spectrometer (PTR-Q-MS).The dataset acquired during the first 2 years of online VOC measurements provides insights into their seasonal and diurnal variabilities. The additional long-term datasets obtained from co-located measurements (NOx, aerosol physical and chemical properties, meteorological parameters) are used to better characterize the atmospheric conditions and to further interpret the obtained results. Results also include insights into VOC main sources and the influence of meteorological conditions and air mass origin on their levels in the Paris region. Due to the COVID-19 pandemic, the year 2020 notably saw a quasi-total lockdown in France in spring and a lighter one in autumn. Therefore, the focus is placed on the impact of these lockdowns on the VOC variability and sources. A change in the behaviour of VOC markers for anthropogenic sources was observed during the first lockdown, reflecting a change in human activities. A comparison with gas chromatography data from the Paris city centre consolidates the regional representativity of the SIRTA station for benzene, while differences are observed for shorter-lived compounds with a notable impact of their local sources. This dataset could be further used as input for atmospheric models and can be found at 10.14768/f8c46735-e6c3-45e2-8f6f-26c6d67c4723 (Simon et al., 2022a).
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The continuous outbreak of COVID-19 results in a large number of therapeutic drugs inevitably entering water bodies through different pathways, and there are problems of accurate and rapid detection in the treatment and ecological evaluation of these drugs. Therefore, it is necessary to establish a method for simultaneous detection of multiple antiviral drugs for treatment of COVID-19 in water. A method for the simultaneous detection of 8 antiviral drugs（ribavirin, oseltamivir, nevirapine, lamivudine,abacavir, stavudine, acyclovir and penciclovir） in source water was developed by optimizing the determining parameters of liquid chromatography-tandem mass spectrometry（LC-MS/MS）. The daughter ion response values of 8 antiviral drugs in this method were relatively high, which was beneficial to the detection of target compounds. The correlation coefficient（r） of the standard curve of 8 antiviral drugs was not less than 0.995 0, the method detection limit（MDL） and the lower limit of determination were in the range of 0.004-0.081 μg/L and 0.013-0.267 μg/L, respectively, and the spike recoveries and RSDs of actual water samples were 81.61%-113.03% and 0.84%-8.12%, respectively.
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OVERVIEW OF EVENTS 10:30 am Opening of Meeting 10:45 am Opening Remarks - Dr. Jeff Daskalakis, CCNP President 10:50 am Introduction - Dr. Cecilia Flores, CCNP Vice-President 11:00 am CCNP 2020 Young Investigator Award Presentation Caroline Ménard, PhD, Department of Psychiatry & Neuroscience, Université Laval: "Sex-specific vascular alterations and biomarkers underlie stress responses in mice mirrored in human depression" 11:50 am CCNP Next Generation Awardee Andrea H. Pantoja Urban, MSc, Integrated Program in Neuroscience, McGill University: "Short and long-term effects of social defeat stress in adolescent female mice" 12:05 pm CCNP Next Generation Awardee Orna Issler, PhD, Department of Neuroscience, Mount Sinai:"The sex-specific role for long noncoding RNAs in depression: from genome-wide patterns to behavioral readout" 12:20 pm Lunch/Break 12:50 pm CCNP 2020 Heinz Lehmann Award Presentation Martin Alda, MD, FRCPC, Department of Psychiatry, Dalhousie University: "Personalized long-term treatment of bipolar disorder" 1:40 pm CCNP Next Generation Awardee Mikaela K Dimick, BA, Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health: "Cerebral blood flow and core mood symptoms in youth bipolar disorder: evidence for region-symptom specificity" 1:55 pm CCNP Next Generation Awardee Sneha Chenji, PhD, Department of Psychiatry & Pediatrics, University of Calgary: "The effect of rTMS treatment on cortico-striatal-thalamo-cortical (CSTC) circuit connectivity in Tourette's syndrome: a pilot study" 2:10 pm Break 2:20 pm CCNP 2020 Innovations in Neuropsychopharmacology Award Presentation Jeffrey Meyer, MD, PhD, FRCPC, Department of Psychiatry, University of Toronto: "Imaging markers of gliosis and monoamine oxidase in major depressive disorder: implications for personalized prevention and treatment" 3:10 pm CCNP Next Generation Awardee Jasmine D. Cakmak, MSc, Neuroscience, Western University: "The functional and structural consequences of aberrant microglial activity in major depressive disorder" 3:25 pm CCNP Next Generation Awardee Kayla D. Stone, PhD, Department of Psychiatry, University of Calgary: "Dorsolateral prefrontal cortex neurometabolite concentrations in pediatric mild traumatic brain injury" 3:40 pm Break 3:50 pm Keynote Speaker Rémi Quirion, OC, CQ, PhD, FRSC, Chief Scientist of Quebec, Ministry of Economy & Innovation: "A less well travelled road: from neuroscientist to chief scientist and then came COVID-19" 4:50 pm Closing Remarks - Dr. Cecilia Flores, CCNP Vice President Acknowledgments: In keeping with CMA guidelines, program content and selection of speakers are the responsibility of the planning committee. Methods: Here, we characterized the enduring changes in histone modifications in the NAcc of mice exposed to chronic social defeat stress (CSDS), a validated model for the study of depression-like behaviours that separates mouse populations into susceptible (SUS) and resilient (RES) based on a social interaction test (SIT). Tissue from the NAcc of control, SUS, and RES mice was collected either 24 hours or 4 weeks after the SIT and processed for histone profiling via mass spectrometry. From the Department of Psychiatry, University of Alberta, Edmonton, AB, Canada (Yap, Luki, S. Hanstock, Lirette, Zhaoa, Aitchison, Le Melledo);the Department of Medical Genetics, University of Alberta, Edmonton, AB, Canada (Aitchison);the Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada (Aitchison);the Edmonton Mood and Anxiety Disorders Program, University of Alberta Hospital, Edmonton, AB, Canada (Aitchison);the Department of Biomedical Engineering, University of Alberta, Edmonton, AB, Canada (C. Hanstock, Seres);and the Royal Alexandra Hospital, Edmonton, AB, Canada (Shandro).
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Evidence supporting the involvement of EVs in the pathogenesis/severity of SARS-CoV-2 infection is starting to accumulate. However, little is known about their specific associations in the context of COVID-and type 2 diabetes interaction. Our study included 48 plasma samples (N=12/group) obtained from COVID-patients with and without diabetes and from patients with non-COVID-acute respiratory diagnosis (RSP) with and without diabetes. Participants were identified from a set of 494 patients hospitalized at AdventHealth in June-August 2020. Important efforts were made to ensure the homogeneity of the study cohort. Patients with type 1 diabetes, or pregnant, or that went directly into the ICU were excluded, and 4 balanced groups were identified after 10,000 random cohorts were generated and differences in age, gender, race, and ethnicity statistically assessed. EVs were isolated using EVTRAP (Tymora) . Mass spectrometry-based methods were used to detect the global EV proteome and phosphoproteome. Differentially expressed features, enriched pathways, and enriched tissue-specific protein sets were identified. Multidimensional scaling of all EV proteomic and phosphoproteomic data and unsupervised clustering of differentially expressed (absolute fold change ≥ 2, P < 0.05, FDR < 0.05) EV proteins and phosphoproteins successfully distinguished the 4 study groups with close to 100% accuracy. Importantly, we detected enriched pathway networks that suggest the potential therapeutic utility of PKC inhibitors such as bisindolylmaleimide IX, sotrastaurin, and enzastaumn, and inhibitors of ROCK1 such the isoquinoline derivative Fasudil. In conclusion, we characterized the proteomic landscape of the interaction between type 2 diabetes and COVID-and defined disease-specific EV proteomic signatures that provide insight into the disease pathobiology and druggable targets with potential clinical utility.
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Different groups of organic micropollutants including pharmaceuticals and pesticides have emerged in the environment in the last years, resulting in a rise in environmental and human health risks. In order to face up and evaluate these risks, there is an increasing need to assess their occurrence in the environment. Therefore, many studies in the past couple of decades were focused on the improvements in organic micropollutants’ extraction efficiency from the different environmental matrices, as well as their mass spectrometry detection parameters and acquisition modes. This paper presents different sampling methodologies and high-resolution mass spectrometry-based non-target screening workflows for the identification of pharmaceuticals, pesticides, and their transformation products in different kinds of water (domestic wastewater and river water). Identification confidence was increased including retention time prediction in the workflow. The applied methodology, using a passive sampling technique, allowed for the identification of 85 and 47 contaminants in the wastewater effluent and river water, respectively. Finally, contaminants’ prioritization was performed through semi-quantification in grab samples as a fundamental step for monitoring schemes.
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The antimicrobial potential of Aspergillus sp., isolated from the Amazon biome, which is stored at the Amazon Fungi Collection-CFAM at ILMD/FIOCRUZ, was evaluated. The fungal culture was cultivated in yeast extract agar and sucrose (YES) for cold extraction of the biocompounds in ethyl acetate at 28 °C for 7 days in a BOD type incubator. The obtained extract was evaluated for its antimicrobial activity against Candida albicans and Gram-positive and negative bacteria by the “cup plate” method and the determination of the minimum inhibitory concentration (MIC) by the broth microdilution method. The extract was subjected to thin layer chromatography (TLC) and fractionated by open and semipreparative column chromatography. The fractions of interest had their chemical constituents elucidated by nuclear magnetic resonance and mass spectrometry. The elucidated molecule was evaluated for cytotoxicity against the human fibroblast strain (MRC5). The extract presented inhibitory activity against both Gram-positive and negative bacteria, with the range of inhibition halos from 5.3 to 14 mm in diameter and an MIC ranging from 500 to 15.6 μg/mL. Seventy-one fractions were collected and TLC analysis suggested the presence of substances with double bond groups: coumarins, flavonoids, phenolic, alkaloids, and terpenes. NMR and MS analyses demonstrated that the isolated molecule was kojic acid. The results of the cytotoxicity test showed that MRC5 cells presented viability at concentrations from 500 to 7.81 μg/mL. The kojic acid molecule of Aspergillus sp., with antibacterial activity and moderate toxicity at the concentrations tested, is a promising prototype of an alternative active principle of an antimicrobial drug.
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Pharmaceuticals and personal care products (PPCPs) were investigated in five wastewater treatment plants (WWTPs), groundwater, irrigated soils, and plants in Amman and Al-Balqa governorates in Jordan. PPCPs were extracted from water samples by solid-phase extraction (SPE) and analyzed by high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC–MS/MS). Carbamazepine, ciprofloxacin, ceftiofur, diclofenac, erythromycin, lincomycin, ofloxacin, pyrimthamine, spiramycin, sulfamethoxazole, sulfapyridine, testosterone, trimethoprim, and thiamphenicol were detected in all raw wastewaters in μg/L, whereas 45 PPCPs were below the detection limits (<0.02 μg/L) in all samples. Na`ur and Abu Nuseir WWTPs showed high PPCPs removal efficiencies in comparison with AL-Baqa`a, Salt, and Fuhais-Mahis WWTPs. Boqorreya spring showed signs of contamination by Salt WWTP effluents as a result of mixing. Irrigation with effluents showed higher carbamazepine concentrations in soils at the top soil layers (0 to 20 cm) in all farms than its concentrations at the root zone (20 to 40 cm) by using drip irrigation system with various plants. In plants, carbamazepine concentration was only detected in high concentration level in mint leaves. In the same farm, diclofenac concentration was detected only in olives and not in twigs and leaves, indicating a high rate of plant uptake especially during the olive’s growth period. Furthermore, plant fruits, leaves, and stems left on the farm after harvesting are generally consumed by cattle, which means entering the food chain of humans.
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OBJECTIVES/GOALS: Murine and clinical data suggest that antibody-dependent cellular cytotoxicity (ADCC) is associated with greater protection against disseminated neonatal HSV disease. To quantify the relative transfer of Abs with different functions and targets, we conducted a prospective study of mother-infant term and preterm dyads pre and during COVID-19 METHODS/STUDY POPULATION: Total and HSV lysate, glycoprotein D (gD) and glycoprotein B (gB)-specific IgG, IgG1 and IgG3 as well as HSV neutralizing Abs (nAbs) and ADCC were quantified in paired 3rd-trimester pregnant women and their newborns (cord) blood. Transfer ratios (TR) were defined as cord:maternal Ab levels. IgG1 and IgG3 subclass and gD or gB-specific Abs were isolated by column purification and glycan profiles were assessed by mass spectrometry. The study population included 21 term and 15 preterm dyads who were HSV-1 (+/- HSV-2) seropositive enrolled between 2018-2019 (pre-COVID) and 25 additional HSV-1 (+/- HSV-2) seropositive term dyads whose mothers were SARS-CoV-2 PCR and COVID Ab+ at delivery;14 were asymptomatic and 11 had mild-moderate COVID disease. None of the mothers had active genital HSV lesions during delivery RESULTS/ANTICIPATED RESULTS: Anti-HSV IgG, IgG1 and IgG3 TR were higher in term vs. preterm dyads (p<0.05). The nAb TR was 2.4 in term vs. 0.8 in preterm (p<0.001) but the ADCC TR was < 1.0 for both. To determine if the latter reflected antigenic target, subclass or glycans, we enriched for gD and gB specific and IgG1 and IgG3 Abs. The gD Abs were IgG1 and had only neutralizing activity. In contrast, gB Abs were polyfunctional and included IgG1 and IgG3 but only the IgG1 Abs had ADCC activity. The gD Abs were enriched for glycans associated with an affinity for the neonatal Fc receptor (FcRn);gB Abs expressed glycans associated with both FcRn and FcγRIIIa binding. There was no significant difference in total HSV-specific IgG TR in pre-COVID vs post-COVID dyads but the nAb TR was lower (p=0.018) and ADCC TR higher (p<0.001) in the COVID compared to pre-COVID cohort DISCUSSION/SIGNIFICANCE: HSV ADCC Abs, which may provide greater protection than nAbs against neonatal disease, transfer poorly particularly to preterm newborns. However, in the setting of SARS-CoV-2, the TR of HSV ADCC is significantly higher. This may reflect alterations in the placental architecture and/or glycan composition which is currently being investigated.
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The smuggling of illicit drugs urges the development of new tools for rapid on-site identification in cargos. Current methods rely on presumptive color tests and portable spectroscopic techniques. However, these methods sometimes exhibit inaccurate results due to commonly used cutting agents, the colorful nature of the sample or because the drugs are smuggled in common goods. Interestingly, electrochemical sensors can deal with these specific problems. Herein, an electrochemical device is presented that uses affordable screen-printed electrodes for the electrochemical profiling of several illicit drugs by square-wave voltammetry (SWV). The identification of the illicit compound is based on the oxidation potential of the analyte. Hence, a library of electrochemical profiles is built upon the analysis of illicit drugs and common cutting agents. This library allows the design of a tailor-made script that enables the identification of each drug through a user-friendly interface (laptop or mobile phone). Importantly, the electrochemical test is compared by analyzing 48 confiscated samples with other portable devices based on Raman and FTIR spectroscopy as well as a laboratory standard method (i.e., gas chromatography–mass spectrometry). Overall, the electrochemical results, obtained through the analysis of different samples from confiscated cargos at an end-user site, present a promising alternative to current methods, offering low-cost and rapid testing in the field.
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Compulsory basic military training is characterized not only by being challenging but also by being stressful. Assuming a high frequency of perceived stress events as a negative outcome of training, this article provides evidence on how the perceived frequency of stressful situations is affected by three types of factors: (i) biological stress response variables measured by hair steroid hormone levels, (ii) personality traits measured using the Big Five personality test, and (iii) group cohesion measures in military squads. A total of 112 conscripts in 11 squads participated in the research at the beginning (T1), in the middle (T2), and at the end (T3) of compulsory basic military training. Hair steroid hormone levels (cortisol, cortisone, and dehydroepiandrosterone (DHEA)) levels were measured by liquid mass spectrometry;other data were collected using self-report questionnaires. The results of the Poisson regression analysis indicated that hair steroid hormone cortisol had a statistically significantly impact and could increase the perceived frequency of stressful situations by up to 1.317 (e0.275, T2) times. The concentrations of other hormones (cortisone = 1.157, e0.146, T3 and DHEA = 1.020, e0.020, T3) also had a statistically significant effect. Other factors had a decreasing effect on the frequency. Extraversion was significant with an effect of 0.907 (e−0.098, T2) and 0.847 (e−0.166, T3), while task cohesion had an effect of 0.946 (e−0.056) and norm cohesion of 0.954 (e−0.047). The research indicates that the three groups of factors affect the perceived frequency of stressful situations during compulsory basic military training, but their impacts are considerably different.
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BackgroundThe hospital environment is understood to play an important role in the transmission of nosocomial pathogens, with inanimate surfaces facilitating pathogen movement and persistence in the environment. The majority of studies of surface contamination have been carried out in outbreak conditions or on high-dependency wards. Current surface cleaning guidance only requires surfaces to be visually clean. Microbiological standards for cleanliness have been proposed, however they are not widely adopted, and little implementation guidance is available. Evidence-based surface sampling protocols are required for the transmission risk surfaces pose to be adequately quantified and addressed.MethodsEnvironmental surface samples will be collected in a number of in- and outpatient settings, staff, and public areas, such as waiting rooms. This will be done before and after cleaning. Pathogens associated with nosocomial infection (e.g., ESKAPE pathogens, Clostridioides difficile and Candida auris) will be identified through culture methods and MALDI-ToF mass spectrometry. Antimicrobial susceptibility profiles of isolates will be determined following EUCAST protocols. Real-time PCR will be utilized to identify viral pathogens (including norovirus, adenovirus, influenza and SARS-CoV-2) present. Following this, samples will be collected for community composition sequencing, allowing for non-culturable microorganisms to be identified. Whole genome sequencing will be performed on any pathogens of interest isolated during this investigation.Results and ConclusionFewer microorganisms are expected to be isolated after cleaning than prior, and samples from in-patient environments will have higher proportions of pathogens. The hospital microbiome has rarely been investigated outside of outbreak conditions. This study presents a novel, systematic approach to assess the microorganisms present in the hospital environment, and how they are impacted by current cleaning measures. This will build a comprehensive picture of the hospital microflora and provide an evidence base for the development of surface sampling protocols, helping inform clinical risk assessments and subsequently improving patient outcomes.
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In September 2020, the UK government announced Operation Moonshot;the remit being to increase testing capacity for COVID 19. Amongst the diagnostic platforms to be considered was mass spectrometry. To facilitate this, the Department of Health and Social Care (DHSC) brought together and funded academic mass spectrometry (P1) and specialist NHS laboratories (P2) across the UK.With regards to the latter, the GOSH Enzyme Lab and the Neurometabolic Unit (National Hospital) were identified as a P2 grouping that would collaborate with the mass spectrometry unit at the UCL Institute of Child Health (P1 – Head Prof K Mills). This P1 lab developed a unique proteomic approach to measure diagnostic proteins associated with the SARS-CoV-2 virus.This method was transferred over to our NHS labs for full validation. Rapid progress was made and the DHSC identified us as a ‘vanguard lab’. Within 6 months of commencement of the project, a validated method was developed that had excellent agreement with PCR testing.Our data was used in presentations throughout the DHSC and for briefing of government ministers. Despite the pressures of the pandemic, our NHS staff went above and beyond to deliver on time.Furthermore, close working with an academic partner provided a proof of principle example whereby state of the art mass spectrometry-based methods can successfully be translated across into the NHS environment.