Cryopreservation and assessment of genetic fidelity Acorus calamus Linn., an endangered medicinal plant

BACKGROUND

Acorus calamus Linn. is a medicinally valuable monocot plant belonging to the family Acoraceae. Over-exploitation and unscientific approach towards harvesting to fulfill an ever-increasing demand have placed it in the endangered list of species.

OBJECTIVE

To develop vitrification-based cryopreservation protocols for A. calamus shoot tips, using conventional vitrification and V cryo-plate.

MATERIALS AND METHODS

Shoot tips (2 mm in size) were cryopreserved with the above techniques by optimizing various parameters such as preculture duration, sucrose concentration in the preculture medium, and PVS2 dehydration time. Regenerated plantlets obtained post-cryopreservation were evaluated by random amplified polymorphic DNA (RAPD) to test their genetic fidelity.

RESULTS

The highest regrowth of 88.3% after PVS2 exposure of 60 min was achieved with V cryo-plate as compared to 75% after 90 min of PVS2 exposure using conventional vitrification. After cryopreservation, shoot tips developed into complete plantlets in 28 days on regrowth medium (0.5 mg/L BAP, 0.3 mg/L GA3, and 0.3 mg/L ascorbic acid). RAPD analysis revealed 100% monomorphism in all cryo-storage derived regenerants and in vitro donor (120-days-old) plants.

CONCLUSION

Shoot tips of A. calamus that were cryopreserved had 88.3% regrowth using V cryo-plate technique and the regerants retained genetic fidelity. https://doi.org/10.54680/fr24210110412.

Tests of Light-Lepton Universality in Angular Asymmetries of B^{0}→D^{*-}ℓν Decays

We present the first comprehensive tests of the universality of the light leptons in the angular distributions of semileptonic B^{0}-meson decays to charged spin-1 charmed mesons. We measure five angular-asymmetry observables as functions of the decay recoil that are sensitive to lepton-universality-violating contributions. We use events where one neutral B is fully reconstructed in ϒ(4S)→BB[over ¯] decays in data corresponding to 189  fb^{-1} integrated luminosity from electron-positron collisions collected with the Belle II detector. We find no significant deviation from the standard model expectations.

Search for a τ^{+}τ^{-} Resonance in e^{+}e^{-}→μ^{+}μ^{-}τ^{+}τ^{-} Events with the Belle II Experiment

We report the first search for a nonstandard-model resonance decaying into τ pairs in e^{+}e^{-}→μ^{+}μ^{-}τ^{+}τ^{-} events in the 3.6-10  GeV/c^{2} mass range. We use a 62.8  fb^{-1} sample of e^{+}e^{-} collisions collected at a center-of-mass energy of 10.58 GeV by the Belle II experiment at the SuperKEKB collider. The analysis probes three different models predicting a spin-1 particle coupling only to the heavier lepton families, a Higgs-like spin-0 particle that couples preferentially to charged leptons (leptophilic scalar), and an axionlike particle, respectively. We observe no evidence for a signal and set exclusion limits at 90% confidence level on the product of cross section and branching fraction into τ pairs, ranging from 0.7 to 24 fb, and on the couplings of these processes. We obtain world-leading constraints on the couplings for the leptophilic scalar model for masses above 6.5  GeV/c^{2} and for the axionlike particle model over the entire mass range.

Measurement of CP Violation in B^{0}→K_{S}^{0}π^{0} Decays at Belle II

We report a measurement of the CP-violating parameters C and S in B^{0}→K_{S}^{0}π^{0} decays at Belle II using a sample of 387×10^{6}  BB[over ¯] events recorded in e^{+}e^{-} collisions at a center-of-mass energy corresponding to the ϒ(4S) resonance. These parameters are determined by fitting the proper decay-time distribution of a sample of 415 signal events. We obtain C=-0.04_{-0.15}^{+0.14}±0.05 and S=0.75_{-0.23}^{+0.20}±0.04, where the first uncertainties are statistical and the second are systematic.

Test of Light-Lepton Universality in the Rates of Inclusive Semileptonic B-Meson Decays at Belle II

We present the first measurement of the ratio of branching fractions of inclusive semileptonic B-meson decays, R(X_{e/μ})=B(B→Xeν)/B(B→Xμν), a precision test of electron-muon universality, using data corresponding to 189  fb^{-1} from electron-positron collisions collected with the Belle II detector. In events where the partner B meson is fully reconstructed, we use fits to the lepton momentum spectra above 1.3  GeV/c to obtain R(X_{e/μ})=1.007±0.009(stat)±0.019(syst), which is the most precise lepton-universality test of its kind and agrees with the standard-model expectation.

First Measurement of the Michel Parameter ξ^{'} in the τ^{-}→μ^{-}ν[over ¯]_{μ}ν_{τ} Decay at Belle

We report the first measurement of the Michel parameter ξ^{'} in the τ^{-}→μ^{-}ν[over ¯]_{μ}ν_{τ} decay with a new method proposed just recently. The measurement is based on the reconstruction of the τ^{-}→μ^{-}ν[over ¯]_{μ}ν_{τ} events with subsequent muon decay in flight in the Belle central drift chamber. The analyzed data sample of 988  fb^{-1} collected by the Belle detector corresponds to approximately 912×10^{6} τ^{+}τ^{-} pairs. We measure ξ^{'}=0.22±0.94(stat)±0.42(syst), which is in agreement with the standard model prediction of ξ^{'}=1. Statistical uncertainty dominates in this study, being a limiting factor, while systematic uncertainty is well under control. Our analysis proved the practicability of this promising method and its prospects for further precise measurement in future experiments.

First Measurement of the B^{+}→π^{+}π^{0}π^{0} Branching Fraction and CP Asymmetry

We study B^{+}→π^{+}π^{0}π^{0} using 711  fb^{-1} of data collected at the ϒ(4S) resonance with the Belle detector at the KEKB asymmetric-energy e^{+}e^{-} collider. We measure an inclusive branching fraction of (19.0±1.5±1.4)×10^{-6} and an inclusive CP asymmetry of (9.2±6.8±0.7)%, where the first uncertainties are statistical and the second are systematic, and a B^{+}→ρ(770)^{+}π^{0} branching fraction of (11.2±1.1±0.9_{-1.6}^{+0.8})×10^{-6}, where the third uncertainty is due to possible interference with B^{+}→ρ(1450)^{+}π^{0}. We present the first observation of a structure around 1  GeV/c^{2} in the π^{0}π^{0} mass spectrum, with a significance of 6.4σ, and measure a branching fraction to be (6.9±0.9±0.6)×10^{-6}. We also report a measurement of local CP asymmetry in this structure.

First Observation of Λπ^{+} and Λπ^{-} Signals near the K[over ¯]N(I=1) Mass Threshold in Λ_{c}^{+}→Λπ^{+}π^{+}π^{-} Decay

Using the data sample of 980  fb^{-1} collected with the Belle detector operating at the KEKB asymmetric-energy e^{+}e^{-} collider, we present the results of an investigation of the Λπ^{+} and Λπ^{-} invariant mass distributions looking for substructure in the decay Λ_{c}^{+}→Λπ^{+}π^{+}π^{-}. We find a significant signal in each mass distribution. When interpreted as resonances, we find for the Λπ^{+} (Λπ^{-}) combination a mass of 1434.3±0.6(stat)±0.9(syst)  MeV/c^{2} [1438.5±0.9(stat)±2.5(syst)  MeV/c^{2}], an intrinsic width of 11.5±2.8(stat)±5.3(syst)  MeV/c^{2} [33.0±7.5(stat)±23.6(syst)  MeV/c^{2}] with a significance of 7.5σ (6.2σ). As these two signals are very close to the K[over ¯]N threshold, we also investigate the possibility of a K[over ¯]N cusp, and find that we cannot discriminate between these two interpretations due to the limited size of the data sample.

Mental Health Problems and Social Media Exposure during the COVID-19 Pandemic among Adult Population of Nepal

Background The COVID-19 pandemic is a significant global health crisis that poses a threat to a person's psychological well-being. A very large number of people got exposed to social network sites during this period which can be hazardous and cause psychological difficulties. There is no prior research or limited studies in this area during emergencies in Nepal. Objective To assess the mental health issues and examine their relationship with social media exposure in adults. Method A descriptive cross-sectional study was conducted by using a validated scale of Depression, Anxiety, and Stress (DAAS-21) and the Insomnia Severity Index (ISI) among 18 years above adult population. Data were collected through an online survey. Descriptive statistics was used to describe sociodemographic data. Binary logistic regression analysis were performed to examine the relationship between psychological problems and social media exposure. Result Out of 422 participants, the overall prevalence of depression, anxiety, stress, and insomnia among the study population were 32%, 28.4%, 24.5%, and 47% respectively. Additionally, 86.5% of individuals said they were frequently exposed to social media. Age, ethnicity, gender, past health problems, and health status were significantly associated with psychological problems. Further, social media exposure was associated with gender and marital status. There was no evidence of an association of psychological problems with social media exposure. Conclusion Depression, anxiety, stress and insomnia are common mental health problems found in the adult population during the time of the first wave of COVID-19 pandemic and highly affected were under 25 years age. Female and unmarried adults are using more social media.

Early Detection of Heart Disease Using Machine Learning Approach

Heart attack is one of the leading causes of morbidity in the worldwide population. Cardiovascular disease is one of the major diseases involved in clinical data analysis or one of the most important part for forecasting. Early detection of cardiovascular diseases can help to reduce high-risk condition for heart patients to make individual decisions for their lifestyle adjustments, mitigating the challenges. Early detection of heart disease has been explored in this study using a machine-learning approach. Additionally, we used sampling strategies to deal with disparate datasets. The overall risk is estimated using a variety of machine-learning techniques. On Kaggle, the Heart Disease dataset is accessible and open for all. In present study testing set used this dataset. The ultimate objective is to determine whether the patient has a “10-year risk of developing coronary heart disease” (CHD). The dataset contained thirteen features that provided patient data, and the authors used machine learning algorithms to diagnose cardiac problems with 98.8% accuracy.

Evidence of a New Excited Charmed Baryon Decaying to Σ_{c}(2455)^{0,++}π^{±}

We present the study of B[over ¯]^{0}→Σ_{c}(2455)^{0,++}π^{±}p[over ¯] decays based on 772×10^{6}  BB[over ¯] events collected with the Belle detector at the KEKB asymmetric-energy e^{+}e^{-} collider. The Σ_{c}(2455)^{0,++} candidates are reconstructed via their decay to Λ_{c}^{+}π^{∓} and Λ_{c}^{+} decays to pK^{-}π^{+}, pK_{S}^{0}, and Λπ^{+} final states. The corresponding branching fractions are measured to be B(B[over ¯]^{0}→Σ_{c}(2455)^{0}π^{+}p[over ¯])=(1.09±0.06±0.07)×10^{-4} and B(B[over ¯]^{0}→Σ_{c}(2455)^{++}π^{-}p[over ¯])=(1.84±0.11±0.12)×10^{-4}, which are consistent with the world average values with improved precision. A new structure is found in the M_{Σ_{c}(2455)^{0,++}π^{±}} spectrum with a significance of 4.2σ including systematic uncertainty. The structure is possibly an excited Λ_{c}^{+} and is tentatively named Λ_{c}(2910)^{+}. Its mass and width are measured to be (2913.8±5.6±3.8)  MeV/c^{2} and (51.8±20.0±18.8)  MeV, respectively. The products of branching fractions for the Λ_{c}(2910)^{+} are measured to be B(B[over ¯]^{0}→Λ_{c}(2910)^{+}p[over ¯])×B(Λ_{c}(2910)^{+}→Σ_{c}(2455)^{0}π^{+})=(9.5±3.6±1.6)×10^{-6} and B(B[over ¯]^{0}→Λ_{c}(2910)^{+}p[over ¯])×B(Λ_{c}(2910)^{+}→Σ_{c}(2455)^{++}π^{-})=(1.24±0.35±0.10)×10^{-5}. Here, the first and second uncertainties are statistical and systematic, respectively.

An Overview of Vehicular Emission Standards

In India, the ambient air quality has been degrading from past few decades especially in urban areas. Vehicular emissions are amongst one of the major reasons for the deterioration of ambient air quality in such areas. This article is an effort to review the vehicular emission standards of the major countries (USA, Europe, Japan and Australia) and compare with Indian emission standards. However, there exists several differences in present emission standards followed by different countries. For instance, emission standards in USA are fuel neutral, while no separate weight categorization exists among light-duty vehicles (LDVs). In Europe, Japan, Australia and India, separate weight categorization and emission limits for both petrol and diesel vehicles are provided. It was observed that different driving test cycles used by different countries are the reasons for numerical differences in vehicular emission standards. To rectify this, a worldwide harmonized test cycle (WHTC) is introduced by United Nations Economic Committee for Europe (UNECE) that would represent real-world driving and verifies that the statutory emission limits are not exceeded during actual driving. Countries like Japan and Europe have already been following the WHTC, while some other countries may introduce the same in near future. Yet the real-world emissions across the world keeps on diverging. In such situation, harmonization of vehicle emission standards worldwide is a bit challenging, based on dynamics of road conditions, driving patterns, environmental conditions, etc. Thus, more concerted research is needed for evolution of a common universal emission standards implementable worldwide so that the uniformity in information and policies available to the common public could be maintained.

Search for a Light Higgs Boson in Single-Photon Decays of ϒ(1S) Using ϒ(2S)→π^{+}π^{-}ϒ(1S) Tagging Method

We search for a light Higgs boson (A^{0}) decaying into a τ^{+}τ^{-} or μ^{+}μ^{-} pair in the radiative decays of ϒ(1S). The production of ϒ(1S) mesons is tagged by ϒ(2S)→π^{+}π^{-}ϒ(1S) transitions, using 158×10^{6} ϒ(2S) events accumulated with the Belle detector at the KEKB asymmetric energy electron-positron collider. No significant A^{0} signals in the mass range from the τ^{+}τ^{-} or μ^{+}μ^{-} threshold to 9.2  GeV/c^{2} are observed. We set the upper limits at 90% credibility level (C.L.) on the product branching fractions for ϒ(1S)→γA^{0} and A^{0}→τ^{+}τ^{-} varying from 3.8×10^{-6} to 1.5×10^{-4}. Our results represent an approximately twofold improvement on the current world best upper limits for the ϒ(1S)→γA^{0}(→τ^{+}τ^{-}) production. For A^{0}→μ^{+}μ^{-}, the upper limits on the product branching fractions for ϒ(1S)→γA^{0} and A^{0}→μ^{+}μ^{-} are at the same level as the world average limits, and vary from 3.1×10^{-7} to 1.6×10^{-5}. The upper limits at 90% credibility level on the Yukawa coupling f_{ϒ(1S)} and mixing angle sinθ_{A^{0}} are also given.

Long-term variability of trace gases over the Indian Western Himalayan Region

The four-year continuous measurements of CO, NOx, NH₃, SO_2, and O₃ were carried at a high altitude site (32.12°N, 76.56°E at 1347 m AMSL) of the Indian Western Himalayan area to study the mixing ratios of these gases for understanding the changing trends of these trace gases over the region. Each of these trace gases showed significant daily and monthly variabilities. The highest variability was recorded in the monthly mean values of O₃ as it varied from 10 to 63 ppb during the study period. All the trace gases except CO showed maximum variability in the pre-monsoon seasons due to the strong advection and vertical circulation of air masses at the site. The seasonal mean maxima of CO were recorded during the monsoon season, while the mean maxima of NH₃ were recorded during the post-monsoon seasons. The meteorological parameters have been found to influence the mixing ratios of trace gases. The least variability in the mean seasonal mixing ratios of SO₂ during the study period indicated the constant point source of SO₂ near the site. The trajectories analysis revealed that the area receives maximum air masses from the southeast to the west directions where a number of the coal-based thermal power plants, industries, cement plants, and agricultural fields are also located. The influence of valley-to-mountain circulations was also observed at the site, resulting in the transport of pollutant-rich air masses from local and distant sources to the site. A comparison of the mixing ratios of different trace gases obtained in the present study is also made with the values reported for other high altitude stations in the world.

Measurement of Differential Branching Fractions of Inclusive B→X_{u}ℓ^{+}ν_{ℓ} Decays

The first measurements of differential branching fractions of inclusive semileptonic B→X_{u}ℓ^{+}ν_{ℓ} decays are performed using the full Belle data set of 711  fb^{-1} of integrated luminosity at the ϒ(4S) resonance and for ℓ=e, μ. With the availability of these measurements, new avenues for future shape-function model-independent determinations of the Cabibbo-Kobayashi-Maskawa matrix element |V_{ub}| can be pursued to gain new insights in the existing tension with respect to exclusive determinations. The differential branching fractions are reported as a function of the lepton energy, the four-momentum-transfer squared, light-cone momenta, the hadronic mass, and the hadronic mass squared. They are obtained by subtracting the backgrounds from semileptonic B→X_{c}ℓ^{+}ν_{ℓ} decays and other processes, and corrected for resolution and acceptance effects.

Particle composition and morphology over urban environment (New Delhi): Plausible effects on wheat leaves

Particulate matter (PM) deposition on leaves adversely affects physical, chemical and biological nature of agricultural crops resulting in their loss of productivity and yield. Wheat being a staple food in major parts of Northern India and around the World, has been selected for research purpose by designing a study to explore the probable effects of PM deposition on wheat leaves and wheat crops to ensure the food security. PM₅ (Particulate matter with aerodynamic diameter <5 μm) and Dry Deposited Particulate Matter (DDPM) on wheat leaves (Leaf_DDPM) were collected from the wheat crop field in Indian Agriculture Research Institute (IARI), New Delhi for growing and harvesting season of wheat crops (i.e. December 2014 to April 2015). The EDS (Energy Dispersive Spectroscopy) analysis was used for this study and the individual particle analysis revealed the presence of both acidic and alkaline components like C, Al, Si, Fe, Ca, K, S and Mg. The offline characterization tool i.e. SEM (Scanning Electron Microscope) was utilized for obtaining the micrographs which clearly showed the presence of some angular, sharp-edged and spherical particles consisting of both smooth and rough texture. Apart from that, prevalence of slightly non-spherical particles with aspect ratio of range (>1.20-1.40) and CIR (>0.70-0.80) for both PM₅ and leaf_DDPM were observed. The size distribution of individual particles for both PM₅(#194 particles) and Leaf_DDPM(#657 particles) revealed that Surface Equivalent Radius (SER) and Volume Equivalent Radius (VER) of particles observed to be 0.40-0.80 μm while surface area to be 0-1 μm². These particles may easily block stomatal openings (with typical diameter range: 42-51 μm) of wheat leaves and damage internal leaf tissues while particle VER determines the interaction of incoming solar radiation with leaf surfaces. Average PM₅ concentrations ± Standard deviations (μg/m³) were reported to be 231.05 ± 113.03. The XRF (X-Ray Fluorescence) spectrometer analysis of bulk PM₅ revealed the concentrations of non-carbonaceous elements (μg/m³) as N (67.34 ± 16.09), Si (27.44 ± 11.01), Al (7.79 ± 3.37), S (3.88 ± 2.24), Na (2.29 ± 0.94), Mg (1.65 ± 0.62), K (0.51 ± 0.26), Ca (0.60 ± 0.26), Fe (0.54 ± 0.26), Cr (1.10 ± 0.70), Zn (0.05 ± 0.03), P (0.10 ± 0.03), Cu (0.07 ± 0.06). The dominant elemental oxides were calculated as SiO₂, Al₂O₃, SO₄^2-, Na₂O, MgO, K₂O, CaO, Fe₂O₃, Cr₂O₃, ZnO, P₂O₅, Cu₂O with variable concentrations. In high humid conditions, with relative humidity (~85%) during the vegetative and flowering growth stages of wheat crops, presence of C and S rich acidic and hygroscopic particles may cause the corrosion of wheat leaves that ultimately affect the wheat crops.

Measurements of the Branching Fractions of the Semileptonic Decays Ξ_{c}^{0}→Ξ^{-}ℓ^{+}ν_{ℓ} and the Asymmetry Parameter of Ξ_{c}^{0}→Ξ^{-}π^{+}

Using data samples of 89.5 and 711  fb^{-1} recorded at energies of sqrt[s]=10.52 and 10.58 GeV, respectively, with the Belle detector at the KEKB e^{+}e^{-} collider, we report measurements of branching fractions of semileptonic decays Ξ_{c}^{0}→Ξ^{-}ℓ^{+}ν_{ℓ} (ℓ=e or μ) and the CP-asymmetry parameter of Ξ_{c}^{0}→Ξ^{-}π^{+} decay. The branching fractions are measured to be B(Ξ_{c}^{0}→Ξ^{-}e^{+}ν_{e})=(1.31±0.04±0.07±0.38)% and B(Ξ_{c}^{0}→Ξ^{-}μ^{+}ν_{μ})=(1.27±0.06±0.10±0.37)%, and the decay parameter α_{Ξπ} is measured to be 0.63±0.03±0.01 with much improved precision compared with the current world average. The corresponding ratio B(Ξ_{c}^{0}→Ξ^{-}e^{+}ν_{e})/B(Ξ_{c}^{0}→Ξ^{-}μ^{+}ν_{μ}) is 1.03±0.05±0.07, which is consistent with the expectation of lepton flavor universality. The first measured asymmetry parameter A_{CP}=(α_{Ξ^{-}π^{+}}+α_{Ξ[over ¯]^{+}π^{-}})/(α_{Ξ^{-}π^{+}}-α_{Ξ[over ¯]^{+}π^{-}})=0.024±0.052±0.014 is found to be consistent with zero. The first and the second uncertainties above are statistical and systematic, respectively, while the third ones arise due to the uncertainty of the Ξ_{c}^{0}→Ξ^{-}π^{+} branching fraction.

Chemical and isotopic characteristics of PM2.5 over New Delhi from September 2014 to May 2015: Evidences for synergy between air-pollution and meteorological changes

The capital city of India, New Delhi, is experiencing serious PM_2.5 pollution in the form of recurrent hazy skies and smoky fog (SMOG) episodes in recent years. Besides source-emission strengths, frequency and time-spans of these air-pollution episodes are uncertain due to variable urban meteorological influences, preventing the formation of a cohesive policy to tackle air-quality degradation. About 70% mass of PM_2.5 particle is composed of Carbon (C), Nitrogen (N), and Sulphur (S) and, hence, their mass concentrations along with their stable isotopic imprints (viz. δ¹³C_PM2.5, δ¹⁵N_PM2.5 and δ³⁴S_PM2.5) provide powerful tools to gain insights into complex aerosol chemistry. This study presents the aforementioned data generated for PM_2.5 collected from New Delhi covering full post-monsoon, winter, and summer months of 2014-15. Temporal variability in the generated dataset was analyzed with variabilities in atmospheric concentrations of key gaseous species (NH₃, NO_x, and SO₂) and meteorological indices. The highest PM_2.5 concentrations were observed in winter months with enhanced aerosol N and S concentrations. Active biomass (crop-residue) burning in the northwest Indo-Gangetic Plains (IGP) appears to be the major source of aerosol TC for post-monsoon and winter months in addition to emission sources from the combustion of bio- and fossil- fuels. Aerosol TN contents appear to be largely impacted by ambient ammonia emissions, especially during winter. Aerosol TS contents could be manifested by emissions from coal combustion, road dust, and biogenic sulphur. Total C + N + S contents of PM_2.5 showed significant negative correlations with surface solar radiation and air-visibility. Both δ¹⁵N_PM2.5 and δ³⁴S_PM2.5 values show remarkable correlations with air-quality and meteorological parameters during winter months demonstrating considerable secondary cycling. Cluster analysis and concentrated weighted wind trajectories over New Delhi for the study-period showed ~64% and ~58% of air mass trajectories from the northwest (Punjab-Haryana) region during post-monsoon and winter months respectively.

Mining social media data to investigate patient perceptions regarding DMARD pharmacotherapy for rheumatoid arthritis

OBJECTIVES

We hypothesise that patients have a positive sentiment regarding biological/targeted synthetic disease modifying anti-rheumatic drugs (b/tsDMARDs) and a negative sentiment towards conventional synthetic agents (csDMARDs). We analysed discussions on social media platforms regarding DMARDs to understand the collective sentiment expressed towards these medications.

METHODS

Treato analytics were used to download all available posts on social media about DMARDs in the context of rheumatoid arthritis. Strict filters ensured that user generated content was downloaded. The sentiment (positive or negative) expressed in these posts was analysed for each DMARD using sentiment analysis. We also analysed the reason(s) for this sentiment for each DMARD, looking specifically at efficacy and side effects.

RESULTS

Computer algorithms analysed millions of social media posts and included 54 742 posts about DMARDs. We found that both classes had an overall positive sentiment. The ratio of positive to negative posts was higher for b/tsDMARDs (1.210) than for csDMARDs (1.048). Efficacy was the most commonly mentioned reason in posts with a positive sentiment and lack of efficacy was the most commonly mentioned reason for a negative sentiment. These were followed by the presence/absence of side effects in negative or positive posts, respectively.

CONCLUSIONS

Public opinion on social media is generally positive about DMARDs. Lack of efficacy followed by side effects were the most common themes in posts with a negative sentiment. There are clear reasons why a DMARD generates a positive or negative sentiment, as the sentiment analysis technology becomes more refined, targeted studies could be done to analyse these reasons and allow clinicians to tailor DMARDs to match patient needs.

Sentiment analysis of social media posts on pharmacotherapy: A scoping review

Social media is playing an increasingly central role in patient's decision-making process. Advances in technology have enabled meaningful interpretation of discussions on social media. We conducted a scoping review to assess whether Sentiment Analysis (SA), a big data analytic tool, could be used to extract meaningful themes from social media discussions on pharmacotherapy. A keyword search strategy was used on the following databases: OneSearch, PubMed, Medline, EMBASE, and Cochrane. One hundred and ninety-four titles were identified of which 10 studies were included. We extracted themes about uses and implications of SA of social media discussions on pharmacotherapy. Twitter was the most frequently analyzed platform. Assessment of public sentiment about a particular medication was the most common use of SA followed by detection of adverse drug reactions. Studies also revealed a significant impact of news media on public sentiment. Implications for real world practice include identifying reasons for a negative sentiment, detecting adverse drug reactions and using the impact of news media on social media sentiment to drive public health initiatives. The lack of a consistent approach to SA between the studies reflects the lack of a gold standard for the technology and consequently the need for future research. Sentiment Analysis is a promising technology that can allow us to better understand patient opinion regarding pharmacotherapy. This knowledge can be used to improve patient safety, patient- physician interaction, and also enhance the delivery of public health measures.

Measurements of circulating progesterone and estrone sulfate concentrations as a diagnostic and prognostic tool in porcine pregnancy revisited

The main goal of this study was to examine the utility of measuring systemic concentrations of steroid hormones, namely progesterone (P₄) and estrone sulfate (E₁S), for monitoring the progression of porcine pregnancy and predicting sow fertility. There were 3 subsets of artificially inseminated (AI'd) sows used in the present experiments: (i) animals sacrificed on gestational day 20 (gd20; n = 16) or (ii) gd50 (n = 16; Experiment 1), and (iii) animals maintained throughout pregnancy (n = 24; Experiment 2). Blood samples (10 mL) were drawn from the orbital sinus and the endocrine data determined at different time points around ovulation/artificial insemination (gd0 (first AI), gd1 (second AI), and gd2) and maternal recognition of pregnancy (gd11), as well as on gd20 and gd50 (during 2 periods of increased embryonic/fetal mortality in swine) were examined for correlations with the numbers of healthy, arrested, and reabsorbing embryos (Experiment 1) or with the number of live, stillborn, and mummified piglets recorded at farrowing (Experiment 2). No correlations were recorded between circulating concentrations of both steroids and the numbers of healthy, arresting, or reabsorbing conceptuses on gd20 or 50 (Experiment 1). The number of corpora lutea (CL) was directly related to the number of healthy embryos/conceptuses on gd20 and 50 (r = 0.71, P = 0.007 and r = 0.76, P = 0.0007, respectively) and the number of arresting embryos on gd20 (r = 0.54, P = 0.05), and negatively correlated with the number of reabsorbing embryos on gd20 (r = -0.53, P = 0.05). In Experiment 2, circulating P₄ concentrations on gd11 related directly to the number of live-born piglets (r = 0.46, P < 0.04). Systemic E₁S concentrations on gd0, gd1, gd2 and gd50 were correlated with the number of mummified conceptuses recorded at farrowing (r = 0.50, P = 0.03; r = 0.59, P = 0.01; r = 0.48, P = 0.04; and r = 0.56, P = 0.01, respectively) and plasma concentrations of E₁S on gd20 related directly to the number of stillborn piglets (r = 0.60, P = 0.02). In summary, the number of CL on gd20 and 50 is a reliable marker of embryonic/fetal pig status. Measurements of P₄ and E₁S on gd20 and 50 showed limited diagnostic value (ie, were not indicative of the number of healthy and abnormally developing embryos/fetuses). However, measurements of circulating P₄ and E₁S concentrations during the periconceptional period and in the early/mid-pregnancy of sows have the makings of a practical method to predict gestational outcomes.

Ten-year retrospective review of the incidence of serious infections in patients on biologic disease modifying agents for rheumatoid arthritis in three tertiary hospitals in Western Australia

BACKGROUND

Biologic disease modifying anti-rheumatic drugs (bDMARDs) have significantly improved the prognosis for patients with rheumatoid arthritis (RA). However, due to their immunosuppressive nature, concerns remain about the potential for infection in patients receiving these medications.

AIMS

To evaluate the incidence of serious infections (SI) in a Western Australian cohort of patients with RA who are receiving bDMARDs. The role of confounders including age, gender, comorbidities and use of glucocorticoids was also evaluated. The incidence of SI was defined as any infection necessitating admission to the hospital and the use of antibiotics.

METHODS

A 10-year retrospective review was conducted of all patients with RA who were receiving bDMARDs at three tertiary hospitals in Western Australia. Discharge summaries and all available clinic letters were reviewed and patient demographics and clinical data were collected. Pearson Chi-squared test and Student's t-test were used for comparing demographic factors and clinical variables between the groups with SI and those without.

RESULTS

One hundred and two patients met the inclusion criteria for the period 2006-2016, 25 of whom had been admitted with SI, accounting for a total of 46 admissions. Skin and soft tissue infections were the most common (28%) followed by respiratory infections (26%) and urinary tract infections (20%). The incidence rate of SI was 8.98 per 100 person years. The rate was lowest with adalimumab (5.27 per 100 person years) and highest with infliximab (34.5 per 100 person years). Those with SI were older (68 years vs 60 years; P = 0.02) and had been on bDMARDs for longer period of time (6.05 years vs 4.68 years; P = 0.04). There was no significant increase in length of stay due to co-administration of glucocorticoids. The presence of comorbidities did not play a significant role in increasing the risk of SI.

CONCLUSION

Age and duration of bDMARD use were statistically significant factors associated with an increased risk of SI. Comorbidities did not play a significant role in increasing the incidence of SI. Patients who were on both glucocorticoids and bDMARDs did not have a significant increase in length of stay when compared with patients who were just on bDMARDs. More research is needed in this area with larger numbers to draw statistically significant conclusions regarding the role of comorbidities in SI risk and the individual infection risk associated with each bDMARD.

Performance evaluation of light weight gas sensor system suitable for airborne applications against co-location gas analysers over Delhi

In the present work, we discuss the light-weight gas sensor system (LWGSS) [350 g, 7″ ∗ 3″] originally developed at CSIR-National Physical Laboratory. This instrument is equipped with low-cost electrolytic gas sensors for quantifying major gaseous pollutants present in the atmosphere. Alphasense electrochemical gas sensors were used to measure gas pollutant species such as CO, SO₂, NO₂, O₃ and H₂S. In our experiment, we focus on the observation of CO, SO₂, NO₂, O₃ using this system. LWGSS has been designed for vertical observations using balloons or unmanned aerial vehicles (UAVs) to study the gaseous concentration in the atmospheric boundary layer (ABL). But, before using such instruments in field campaigns, there is a strong need for the inter-comparison of these instruments with that of the collocated high-end gas analysers. Thus, the inter-comparisons were performed between LWGSS and other high-end analysers during 6-7, March 2017 and 26-27, April 2017. The LWGSS system comprising all the sensors was compared against high-end analyser present at CSIR-NPL for ozone and other gas analysers present at IMD, New Delhi. The ozone sensor deployed in LWGSS showed good correlation (i.e. R² = 0.83, slope = 0.93) against the high-end ozone gas analyser, which was calibrated with primary ozone facility (SRP43) available at CSIR-NPL. Inter-comparisons performed for NO₂, SO₂ and CO showed different results. While the NO₂ gas sensor showed medium correlation (R² = 0.75; slope = 0.49), the SO₂ and CO gas sensor showed a poor correlation (and R² = 0.44; slope = 0.98; R² = 0.28, slope = 0.79) respectively, when compared with co-location gas analysers present at IMD, New Delhi. Comparisons were performed for LWGSS data during 1-28 February 2018 with data collected at CPCB station (Shadipur, Delhi) and IMD station (Pusa, Delhi). The comparison results showed variations in LWGSS CO and SO₂ data whereas LWGSS O₃ and NO₂ results were in accordance with data collected at aforementioned monitoring stations.

Whole genome sequencing of emerging multidrug resistant Candida auris isolates in India demonstrates low genetic variation

Candida auris is an emerging multidrug resistant yeast that causes nosocomial fungaemia and deep-seated infections. Notably, the emergence of this yeast is alarming as it exhibits resistance to azoles, amphotericin B and caspofungin, which may lead to clinical failure in patients. The multigene phylogeny and amplified fragment length polymorphism typing methods report the C. auris population as clonal. Here, using whole genome sequencing analysis, we decipher for the first time that C. auris strains from four Indian hospitals were highly related, suggesting clonal transmission. Further, all C. auris isolates originated from cases of fungaemia and were resistant to fluconazole (MIC >64 mg/L).

Phytocannabinoids for Cancer Therapeutics: Recent Updates and Future Prospects

Phytocannabinoids (pCBs) are lipid-soluble phytochemicals present in the plant, Cannabis sativa L. and non-cannabis plants which have a long history in recreation and traditional medicine. The plant and the constituents isolated were central in the discovery of the endocannabinoid system (ECS), the most new target for drug discovery. The ECS includes two G-protein-coupled receptors; the cannabinoid receptors-1 and -2 (CB1 and CB2) for marijuana's psychoactive principle Δ(9)-tetrahydrocannabinol (Δ(9)-THC), their endogenous small lipid ligands; namely anandamide (AEA) and 2-arachidonoylglycerol (2-AG), also known as endocannabinoids and the enzymes for endocannabinoid biosynthesis and degradation such as fatty acid amide hydrolase (FAAH) and monoacylglycerol lipase (MAGL). The ECS has been suggested as a pro-homeostatic and pleiotropic signaling system activated in a time- and tissue-specific way during pathological conditions including cancer. Targeting the CB1 receptors becomes a concern because of adverse psychotropic reactions. Hence, targeting the CB2 receptors or the endocannabinoid metabolizing enzymes by pCBs obtained from plants lacking psychotropic adverse reactions has garnered interest in drug discovery. These pCBs derived from plants appear safe and effective with a wider access and availability. In the recent years, several pCBs derived other than non-cannabinoid plants have been reported to bind to and functionally interact with cannabinoid receptors and appear promising candidate for drug development including cancer therapeutics. Several of them also targets the endocannabinoid metabolizing enzymes that control endocannabinoid levels. In this article, we summarize and critically discuss the updates and future prospects of the pCBs as novel and promising candidates for cancer therapeutics.

Growth inhibitory and adjuvant therapeutic potential of aqueous extract of Triticum aestivum on MCF-7 and HeLa cells

AIM

The purpose of the present study is to evaluate the potent growth inhibitory effects of aqueous wheatgrass extract (AWE) alone and in combination with cisplatin on human breast and cervical cancer cells.

MATERIALS AND METHODS

The cytotoxic potential of AWE alone and in combination with cisplatin was evaluated on human breast and cervical cancer cells (MCF-7 and HeLa) by cell viability assay. Further, the mode of cell death induced by AWE was determined by nuclear morphological examination and cell cycle analysis. These effects were then correlated with the expression of genes involved in apoptosis and proliferation (cyclin D1 and Bax) by RT-PCR.

RESULTS

AWE showed dose- and time dependent selective cytotoxicity towards the cancer highlighting its safe profile. Lower dose combinations of AWE and cisplatin induced increased growth inhibition compared with the individual drugs on both cell lines (combination index < 1) indicating strong synergistic interactions. AWE was found to induce apoptosis and arrested the cells at G0-G1 phase of the cell cycle which correlated with the modulation of expression of bax and cyclin D1 in a time-dependent manner in MCF-7 and HeLa cells.

CONCLUSION

These results suggest that the anti-cancer potential of AWE may be due to apoptosis induction and its anti-proliferative properties. This study also provides the first evidence demonstrating synergism between AWE and cisplatin, which may enhance the therapeutic index of prevention and/or treatment of human breast and cervical cancer.

Multidrug-resistant endemic clonal strain of Candida auris in India

Candida auris is a recently described rare agent of fungemia. It is notable for its antifungal resistance. A total of 15 C. auris isolates, originating from seven cases of fungemia, three cases of diabetic gangrenous foot, and one case of bronchopneumonia from a tertiary care hospital in south India, were investigated. All of the 15 isolates were identified by sequencing and 14 of these along with 12 C. auris isolates previously reported from two hospitals in Delhi, north India, two each from Japan and Korea were genotyped by amplified fragment length polymorphism (AFLP). In vitro antifungal susceptibility testing (AFST) was done by the Clinical and Laboratory Standards Institute (CLSI) broth microdilution method. Candida auris isolates were misidentified as Candida haemulonii by VITEK. All were resistant to fluconazole [geometric mean minimum inhibitory concentration (MIC) 64 μg/ml] and 11 isolates were resistant to voriconazole (MIC ≥1 μg/ml). Forty-seven percent of the C. auris isolates were resistant to flucytosine (MIC ≥64 μg/ml) and 40% had high MIC (≥1 μg/ml) of caspofungin. Breakthrough fungemia developed in 28.6% of patients and therapeutic failure in 4 (66.7%) patients. Interestingly, the 26 Indian C. auris isolates from north and south India were clonal and phenotypically and genotypically distinct from Korean and Japanese isolates. The present study demonstrates that C. auris is a potential emerging pathogen that can cause a wide spectrum of human mycotic infections. The prevalence of a C. auris endemic clonal strain resistant to azoles and other antifungals in Indian hospitals with high rates of therapeutic failure in cases of fungemia is worrisome.

Impacts of increasing ozone on Indian plants

Increasing anthropogenic and biogenic emissions of precursor compounds have led to high tropospheric ozone concentrations in India particularly in Indo-Gangetic Plains, which is the most fertile and cultivated area of this rapidly developing country. Current ozone risk models, based on European and North American data, provide inaccurate estimations for crop losses in India. During the past decade, several ozone experiments have been conducted with the most important Indian crop species (e.g. wheat, rice, mustard, mung bean). Experimental work started in natural field conditions around Varanasi area in early 2000's, and the use of open top chambers and EDU (ethylene diurea) applications has now facilitated more advanced studies e.g. for intra-species sensitivity screening and mechanisms of tolerance. In this review, we identify and discuss the most important gaps of knowledge and future needs of action, e.g. more systematic nationwide monitoring for precursor and ozone formation over Indian region.

Cardioprotective effect of lycopene against isoproterenol-induced myocardial infarction in rats

The present study was designed to evaluate the cardioprotective potential of lycopene (LCP) against isoproterenol (ISP)-induced myocardial infarction (MI), by assessing hemodynamic, biochemical and histopathological parameters. Wistar male albino rats were orally administered with LCP (0.5, 1.0 and 1.5 mg/kg) or with vehicle for 30 days, with concurrent subcutaneous injections of ISP (85 mg/kg) on days 28 and 29. ISP significantly (p < 0.05) decreased systolic, diastolic and mean arterial blood pressure (SAP, DAP and MAP, respectively) and heart rate (HR). ISP also decreased contractility (+LVdP/dt), relaxation (-LVdP/dt) and increased left ventricular end-diastolic pressure (LVEDP). In addition to functional impairment, ISP also caused a significant (p < 0.05) decrease in antioxidants, namely, superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GSHPx), glutathione (GSH), cardiac injury marker enzymes, creatine phosphokinase-MB (CK-MB) and lactate dehydrogenase (LDH), as well as induced lipid peroxidation, malonaldialdehyde (MDA) and histopathological alterations in heart. However, pretreatment with LCP significantly (p < 0.05) attenuated ISP-induced cardiac dysfunction as evidenced by improved SAP, DAP, MAP, HR, (±)LVdP/dt and reduced LVEDP. Pretreatment with LCP also significantly (p < 0.05) prevented the depletion of antioxidants (SOD, CAT, GSHPx and GSH), myocyte injury marker enzymes (CK-MB and LDH) and inhibited lipid peroxidation and MDA formation in the heart. Furthermore, reduced necrosis, edema and infiltration of inflammatory cells on histopathological examination also depicted the protective effect of LCP against the deleterious effect of ISP. Based on the results, it is suggested that LCP possesses significant cardioprotective potential and may serve as an adjunct in treatment and prophylaxis of MI.

Synthesis and Antimicrobial Activity of Some New 2-(3-(4-Aryl)-1-phenyl-1H-pyrazol-4-yl) Chroman-4-ones

Seven new 2-(3-(4-aryl)-1-phenyl-1H-pyrazol-4-yl) chroman-4-ones (4a-4g) have been synthesized by cyclization of 2-hydroxychalcone analogues of pyrazole 3a-3g using conc. HCl in acetic acid. The structures of the compounds 4a-4g were established by the combined use of (1)HNMR, IR and mass spectra. All the seven compounds were tested in vitro for their antibacterial activity against two Gram positive bacteria namely Staphylococcus aureus and Bacillus subtilis and two Gram negative bacteria Escherichia coli and Pseudomonas aeruginosa. The compounds 4b, 4c, 4e, 4f, 4g have displayed good antibacterial activity when compared with commercially available antibiotic, ciprofloxacin. These compounds also were screened for their antifungal activity against two ear pathogenic fungi, namely Aspergillus Niger and A. flavus. The compounds 4a, 4c, 4d, 4g exhibited good antifungal activity when compared with commercially available antifungal, fluconazole.

Chemical characteristics of aerosols and trace gas distribution over North and Central India

A field campaign on aerosol chemical properties and trace gases measurements was carried out along the Delhi-Hyderabad-Delhi road corridor (spanning about 3,200 km) in India, during February 1-29, 2004. Aerosol particles were collected on quartz and cellulose filters using high volume (PM(10)) sampler at various locations along the route (i.e., urban, semi-urban, rural, and forest areas) and have been characterized for major cations (Na(+), Ca(2+), Mg(2+), K(+), and NH (4) (+)), anions (Cl(-), NO (3)(-), and SO (4)(2-)), and heavy metals (Cu, Cd, Fe, Zn, Mn, and Pb). Simultaneously, we measured NO(2) and SO(2) gases. These species show large spatial and temporal variations. The ambient PM(10) concentration has been observed to be the highest (55 ± 4 μg m(-3)) near semi-urban areas followed by forest areas (48 ± 2 μg m(-3)) and in rural areas (44 ± 22 μg m(-3)). The concentrations of NO( x ) (NO(2)+NO) and SO(2) ranged from 16 to 69 μg m(-3) and 4 to 11 μg m(-3), respectively. Among anions, NO(3)(-) and SO(4) (2-) are the major constituents of PM(10). The urban and semi-urban sites showed enhanced concentrations of Fe, Zn, Mn, Cd, and Pb. This study provide information about atmospheric concentrations of various species in the northern to central India, which may be important for policy makers to better understand the air quality of the region.

Abstract P1-03-01: Generation of a Novel In Vivo Model of Patient-Derived Chemoresistant Breast Cancers

Background: Breast cancer patients who have significant residual cancer after neoadjuvant chemotherapy (NCT) are at high risk of relapse. There is a pressing need to identify novel therapeutics that can be offered to these patients. In vivo models available to test new agents are limited. We hypothesized that tumors from patients with poor response to NCT can be transplanted into nude mice to establish xenografts, providing a novel in vivo model to study therapies for chemoresistant tumors. Materials and Methods: After informed consent, excess tumor was taken from the mastectomy specimens from six patients who had either disease progression during NCT or significant residual disease after NCT. On surgical pathologic evaluation, average tumor size was 8.6 ± 3.2 cm (range 4.5-12 cm), and average number of positive lymph nodes was 6.2 ± 6.8 (range 0-18). Patients had RECIST criteria of partial response (n=2), stable disease (n= 1) or progressive disease (n=3). For each patient, tumors were implanted subcutaneously into the flanks of five nude mice. Tumors were passaged to successive generations when they reached 1.5 cm in diameter. In vivo tumor growth and the ability to serially passage tumors were assessed. Patient and tumor characteristics, and patient outcomes were evaluated.

Results: Three patients had ER+HER2- tumors and three had ER-HER2- tumors. Serially transplanted xenografts were established from all six patients (100%); see Figure 1. Within each group of five mice implanted with the human tumors, 60 ± 26% developed tumor. Time to tumor size of 1.5 cm diameter was 4.2 ± 2.6 months (range 1.5-7.8 months). Two mice also developed tumors at a location distant from the implantation site (Met). These tumors were separately engrafted, also with 100% take, reaching 1.5 cm diameter at 1.5 and 1.7 months. Of the six patients, one had metastatic disease at surgery and underwent palliative mastectomy. Of the other five patients, four (80%) developed metastatic disease 4-8.4 months after surgery. Mice developed passagable tumors at least 2 months before the donor patients developed distant recurrence. The one patient who remains distant disease-free had the longest time to tumor passage (8.4 months).

Figure 1. Time to passage of tumor to next generation of mice. Flank tumors xenografts were derived from patients with chemoresistant breast cancers. When tumors reach 1.5 cm in diameter, they are passaged to the next generation of 5 mice. X-axis depicts time to reach 1.5 cm with each passage.

Discussion: Patients with progression or significant residual disease after NCT are at very high risk of distant relapse. Their chemoresistant tumors can be used to create serially transplantable xenografts. This in vivo model of chemoresistant breast cancer may be utilized to allow individualization of additional adjuvant or metastatic breast cancer treatment.