Transcriptome wide analysis of MADS box genes in Crocus sativus and interplay of CstMADS19-CstMADS26 in orchestrating apocarotenoid biosynthesis.

Flowers of Crocus sativus L. are immensely important not only for arrangement of floral whorls but more because each floral organ is dominated by a different class of specialized compounds. Dried stigmas of C. sativus flowers form commercial saffron, and are known to accumulate unique apocarotenoids like crocin, picrocrocin and safranal. Inspite of being a high value crop, the molecular mechanism regulating flower development in Crocus remains largely unknown. Moreover, it would be very interesting to explore any co-regulatory mechanism which controls floral architecture and secondary metabolic pathways which exist in specific floral organs. Here we report transcriptome wide identification of MADS box genes in Crocus. A total of 39 full length MADS box genes were identified among which three belonged to type I and 36 to type II class. Phylogeny classified them into 11 sub-clusters. Expression pattern revealed some stigma up-regulated genes among which CstMADS19 encoding an AGAMOUS gene showed high expression. Transient over-expression of CstMADS19 in stigmas of Crocus resulted in increased crocin by enhancing expression of pathway genes. Yeast one hybrid assay demonstrated that CstMADS19 binds to promoters of phytoene synthase and carotenoid cleavage dioxygenase 2 genes. Yeast two hybrid and BiFC assays confirmed interaction of CstMADS19 with CstMADS26 which codes for a SEPALATA gene. Co-overexpression of CstMADS19 and CstMADS26 in Crocus stigmas enhanced crocin content more than was observed when genes were expressed individually. Collectively, these findings indicate that CstMADS19 functions as a positive regulator of stigma based apocarotenoid biosynthesis in Crocus.

Selenium and concomitant anions removal in a fixed bed bioreactor to satisfy drinking water regulations and subsequent stability check of selenium-laden biosludge.

This is the first successful report on selenium bio-attenuation to satisfy drinking water regulations as per Indian Standards (10 µg/L) in the presence of concomitant nitrate and sulfate from water sources utilizing a fixed bed bioreactor. The bioreactor was immunized with blended microbial culture and worked in downflow mode under anoxic conditions at 30±2°C for around 190 days under varying influent selenate (100 - 500 µg/L as selenium), nitrate (50 mg/L), sulfate concentrations (as per selenium removal) and necessary dose of acetic acid (as COD, a carbon source) in synthetic groundwater, operated at an empty bed contact time (EBCT) of 45 - 120 min. After supplying an adequate dosage of sulfate and alteration of EBCT, selenium was found to comply with drinking water regulations and nitrate was completely removed. X-ray diffraction and transmission electron microscopy analyses depicted nanocrystalline selenium sulfides (SeS and SeS2) formation as the possible mechanisms of selenium removal. Extended toxicity characteristic leaching procedure (TCLP) extractions confirmed a maximum selenium leaching of 52 and 282 µg/L during anoxic and oxic extractions, respectively. Long-term column leaching (> 3-month equilibration) under aerobic conditions at pH 7 confirmed the produced precipitate to be essentially stable (∼ 0.14% Se leaching). This work exhibits the synchronous bioremoval of selenium and its co-anions from contaminated water complying with drinking water standards, and leaving a stable and non-hazardous selenium-laden biosludge.

An in vitro comparative evaluation of cyclic fatigue resistance of two rotary and two reciprocating file systems.

Context: Root canal instrumentation is one of the important procedures for successful endodontic therapy. Unexpected fracture of files occurs during root canal instrumentation without any visible signs of deformation compromising the success of root canal treatment. Aims: The aim of the study was to evaluate and compare cyclic fatigue resistance (CFR) of rotary and reciprocating files in simulated canals with 45°, 60°, and 90° angle of curvature. Settings and Design: The study design was an In vitro study. Subjects and Methods: Sixty nickel-titanium files, 30 each of rotary and reciprocating files were selected and divided into four groups (n = 15) of Neoendo Flex, ProTaper Next, WaveOne Gold (WOG), and Reciproc Blue (RPB) files. Each group was further subdivided into three subgroups containing five samples each based on their use in simulated canals with 45°, 60°, and 90° angle of curvature. To simulate root canals with 45°, 60°, and 90° angle of curvature, three artificial canals were designed in a stainless steel metal block. Each file was autoclaved, immersed in 3% sodium hypochlorite (NaOCl), and coated with 17% ethylenediaminetetraacetic acid (EDTA). Each file was tested for CFR using a torque-controlled reduction handpiece by instrumenting in a simulated canal for 10 s until fracture. The cycle of autoclaving, exposure to NaOCl, EDTA, and testing of CFR for 10 s per canal as per groups and subgroups was repeated again and again until the respective file fracture. The time taken to file fracture was recorded using a digital chronometer. The time taken for each file fracture (in minutes) was multiplied by the number of rotations per minute to attain the number of cycles to failure (NCF). Statistical Analysis Used: The obtained results were subjected to statistical analysis using one-way analysis of variance and independent t-test. Results: One-way ANOVA test showed a statistically significant difference between the four groups, P < 0.001. Independent "t"-test between individual subgroups showed a statistically significant difference, as P < 0.05. Conclusions: WOG and RPB reciprocating file systems showed superior CFR, more especially in canals with abrupt 90° angle of curvature compared to both rotary file systems tested. Among rotary file systems tested, Neoendo Flex showed greater CFR than ProTaper Next.

Transformer-based decoder of melanoma classification using hand-crafted texture feature fusion and Gray Wolf Optimization algorithm.

Melanoma is a type of skin cancer that poses significant health risks and requires early detection for effective treatment. This study proposing a novel approach that integrates a transformer-based model with hand-crafted texture features and Gray Wolf Optimization, aiming to enhance efficiency of melanoma classification. Preprocessing involves standardizing image dimensions and enhancing image quality through median filtering techniques. Texture features, including GLCM and LBP, are extracted to capture spatial patterns indicative of melanoma. The GWO algorithm is applied to select the most discriminative features. A transformer-based decoder is then employed for classification, leveraging attention mechanisms to capture contextual dependencies. The experimental validation on the HAM10000 dataset and ISIC2019 dataset showcases the effectiveness of the proposed methodology. The transformer-based model, integrated with hand-crafted texture features and guided by Gray Wolf Optimization, achieves outstanding results. The results showed that the proposed method performed well in melanoma detection tasks, achieving an accuracy and F1-score of 99.54% and 99.11% on the HAM10000 dataset, and an accuracy of 99.47%, and F1-score of 99.25% on the ISIC2019 dataset. • We use the concepts of LBP and GLCM to extract features from the skin lesion images. • The Gray Wolf Optimization (GWO) algorithm is employed for feature selection. • A decoder based on Transformers is utilized for melanoma classification.

Role of textural and radiomic analysis parameters in predicting histopathological parameters of the tumor in breast cancer patients.

INTRODUCTION: Texture and radiomic analysis characterizes the tumor's phenotype and evaluates its microenvironment in quantitative terms. This study aims to investigate the role of textural and radiomic analysis parameters in predicting histopathological factors in breast cancer patients. MATERIALS AND METHODS: Two hundred and twelve primary breast cancer patients underwent 18F-FDG PET/computed tomography for staging. The images were processed in a commercially available textural analysis software. ROI was drawn over the primary tumor with a 40% threshold and was processed further to derive textural and radiomic parameters. These parameters were then compared with histopathological factors of tumor. Receiver-operating characteristic analysis was performed with a P-value <0.05 for statistical significance. The significant parameters were subsequently utilized in various machine learning models to assess their predictive accuracy. RESULTS: A retrospective study of 212 primary breast cancer patients was done. Among all the significant parameters, SUVmin, SUVmean, SUVstd, SUVmax, discretized HISTO_Entropy, and gray level co-occurrence matrix_Contrast were found to be significantly associated with ductal carcinoma type. Four parameters (SUVmin, SUVmean, SUVstd, and SUVmax) were significant in differentiating the luminal subtypes of the tumor. Five parameters (SUVmin, SUVmean, SUVstd, SUVmax, and SUV kurtosis) were significant in predicting the grade of the tumor. These parameters showcased robust capabilities in predicting multiple histopathological parameters when tested using machine learning algorithms. CONCLUSION: Though textural analysis could not predict hormonal receptor status, lymphovascular invasion status, perineural invasion status, microcalcification status of tumor, and all the molecular subtypes of the tumor, it could predict the tumor's histologic type, triple-negative subtype, and score of the tumor noninvasively.

Antitubercular evaluation of dihydropyridine-triazole conjugates: design, synthesis, in vitro screening, SAR and in silico ADME predictions.

This study investigates the potential of click chemistry for the development of novel anti-tuberculosis agents. A targeted library of 1,4-dihydropyridine-1,2,3-triazole conjugates was synthesized and evaluated for their in vitro activity against Mycobacterium tuberculosis H37Ra using the resazurin microtiter assay (REMA). Among the synthesized derivatives, compounds J10, J11, J14, J22 and J23 demonstrated significant antimycobacterial activity. These compounds exhibited low MIC values ranging from 6.24 to 6.64 µg mL-1, highlighting their promising potential as lead compounds for further developing novel tuberculosis therapeutics. In addition to the promising in vitro activity, structure-activity relationship (SAR) analysis revealed that electron-withdrawing groups on the aryl-substituted ring of the dihydropyridines (J10-J24), a triazole with an unsubstituted aryl ring or with electron-donating groups (methyl or methoxy), and a geminal dimethyl group are essential structural features for the observed antitubercular activity. Furthermore, in silico ADME (absorption, distribution, metabolism, and excretion) parameters and pharmacokinetic studies supported the potential of these conjugates for oral bioavailability. These findings collectively highlight the 1,4-dihydropyridine-1,2,3-triazole scaffold as a promising platform for developing novel orally active anti-tuberculosis drugs.

A Real­World Pharmacovigilance Study of FDA Adverse Event Reporting System (FAERS) for Mavacamten.

BACKGROUND: Mavacamten is a first-in-class cardiac myosin inhibitor approved by the US Food and Drug Administration (FDA) for symptomatic obstructive hypertrophic cardiomyopathy (HCM). This pharmacovigilance study aimed to assess mavacamten-related adverse drug reactions (ADRs) in the real world as reported in the FDA Adverse Event Reporting System (FAERS). METHODS: We conducted disproportionality analyses with four signal detection algorithms-reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network, and the multi-item gamma Poisson shrinker to identify mavacamten-related ADRs. RESULTS: Out of 4,500,131 reports from the FAERS database, 1004 mavacamten-related ADRs were identified from 1 January 2022 to 30 September 2023. A total of 26 significant disproportionality preferred terms (PTs) conforming to the four signal detection algorithms were noted. Some of the statistically significant cardiac ADRs at PT level include decreased ejection fraction (EF) [ROR 33.60 (95% confidence interval, CI 21.79-51.82), PRR 32.86 (χ2 615.96), information component (IC) 5.03, IC025 4.61, empirical Bayesian geometric mean (EBGM) 32.77, EBGM05 21.25], cardiac failure [ROR 9.39 (95% CI 6.49-13.60), PRR 9.13 (χ2 202.42), IC 3.19, IC025 2.83, EBGM 9.12, EBGM05 6.30], and atrial fibrillation [ROR 16.63 (95% CI 12.72-21.75), PRR 15.66 (χ2 769.93), IC 3.97, IC025 3.71, EBGM 15.64, EBGM05 11.96]. CONCLUSIONS: The results of our study were consistent with the safety data of clinical trials, including reduced ejection fraction, atrial fibrillation, dyspnea, and syncope. We also found potential new and unexpected ADR signals, such as urinary tract infection, gout, and peripheral edema.

Bidirectional link between periodontitis and systemic inflammation in diabetic retinopathy.

Periodontitis is independently associated with numerous lifestyle diseases. Diabetic patients have approximately threefold increased odds of periodontitis, which in turn increases the risk of systemic inflammation. The study by Thazhe Poyil et al is an effort to establish the inflammatory link between diabetic re-tinopathy (DR) and periodontitis based on the periodontal inflamed surface area in diabetic patients with and without DR. To further advance the study, we suggest refining the eligibility criteria to explicitly state the clinical correlates of periodontitis and DR, larger sample size and improved sampling methodology, matching of baseline characteristics of the two groups, as well as improved statistical approach and interpretation of the study findings. Measurement of hemoglobin A1c (HbA1c) in studies comparing type 2 diabetes mellitus patients with DR of matched severity with and without periodontitis could provide a clearer picture of whether HbA1c level is indeed influenced by periodontitis.

Combatting synthetic dye toxicity through exploring the potential of lignin peroxidase from Pseudomonas fluorescence LiP RL5.

Untreated release of toxic synthetic and colorful dyes is a serious threat to the environment. Every year, several thousand gallons of dyes are being disposed into the water resources without any sustainable detoxification. The accumulation of hazardous dyes in the environment poses a severe threat to the human health, flora, fauna, and microflora. Therefore, in the present study, a lignin peroxidase enzyme from Pseudomonas fluorescence LiP-RL5 has been employed for the maximal detoxification of selected commercially used dyes. The enzyme production from the microorganism was enhanced ~ 20 folds using statistical optimization tool, response surface methodology. Four different combinations (pH, production time, seed age, and inoculum size) were found to be crucial for the higher production of LiP. The crude enzyme showed decolorization action on commonly used commercial dyes such as Crystal violet, Congo red, Malachite green, and Coomassie brilliant blue. Successful toxicity mitigation of these dyes culminated in the improved seed germination in three plant species, Vigna radiate (20-60%), Cicer arietinum (20-40%), and Phaseolus vulgaris (10-25%). The LiP treated dyes also exhibit reduced bactericidal effects against four common resident microbial species, Escherichia coli (2-10 mm), Bacillus sp. (4-8 mm), Pseudomonas sp. (2-8 mm), and Lactobacillus sp. (2-10 mm). Therefore, apart from the tremendous industrial applications, the LiP from Pseudomonas fluorescence LiP-RL5 could be a potential biocatalyst for the detoxification of synthetic dyes.

Effects of Limosilactobacillus reuteri strains PTA-126787 and PTA-126788 on intestinal barrier integrity and immune homeostasis in an alcohol-induced leaky gut model.

Intestinal barrier is a first line of defense that prevents entry of various harmful substances from the lumen into the systemic environment. Impaired barrier function with consequent translocation of harmful substances into systemic circulation ("leaky gut") is a central theme in many gastrointestinal, autoimmune, mental, and metabolic diseases. Probiotics have emerged as a promising strategy to maintain intestinal integrity and address "leaky gut". Using in silico, in vitro and avian in vivo analyses, we previously showed that two novel L. reuteri strains, PTA-126787 (L. reuteri 3630) and PTA-126788 (L. reuteri 3632), isolated from broiler chickens possess favorable safety profiles. Consistent with a recent study, here we show that L. reuteri 3630 and 3632 are phylogenetically similar to human L. reuteri strains. Daily administration of high doses of L. reuteri 3630 and 3632 to Sprague Dawley rats for 28 days was found to be safe with no adverse effects. More importantly, administration of L. reuteri 3630 and 3632 significantly reduced markers associated with alcohol-induced leaky gut, by downregulating inflammatory cytokines and upregulating anti-inflammatory cytokines in an alcohol model of leaky gut in mice. While L. reuteri 3630 cells and supernatant showed no activation, L. reuteri 3632 cells but not supernatant showed activation of AhR, a key transcription factor that regulates gut and immune homeostasis. L. reuteri 3630 is creamish white in morphology typical of Lactobacillus species and L. reuteri 3632 displays a unique orange pigmentation, which was stable even after passaging for 480 generations. We identified a rare polyketide biosynthetic gene cluster in L. reuteri 3632 that likely encodes for the orange-pigmented secondary metabolite. Similar to L. reuteri 3632 cells, the purified orange metabolite activated AhR. All together, these data provide evidence on the phylogenetic relatedness, safety, efficacy, and one of the likely mechanisms of action of L. reuteri 3630 and 3632 for potential probiotic applications to address "leaky gut" and associated pathologies in humans.

A novel mutation in non-constitutive lycopene beta cyclase (CstLcyB2a) from Crocus sativus modulates carotenoid/apocarotenoid content, biomass and stress tolerance in plants.

MAIN CONCLUSION: Mutation at A126 in lycopene-ß-cyclase of Crocus (CstLcyB2a) sterically hinders its binding of δ-carotene without affecting lycopene binding, thereby diverting metabolic flux towards ß-carotene and apocarotenoid biosynthesis. Crocus sativus, commonly known as saffron, has emerged as an important crop for research because of its ability to synthesize unique apocarotenoids such as crocin, picrocrocin and safranal. Metabolic engineering of the carotenoid pathway can prove a beneficial strategy for enhancing the quality of saffron and making it resilient to changing climatic conditions. Here, we demonstrate that introducing a novel mutation at A126 in stigma-specific lycopene-ß-cyclase of Crocus (CstLcyB2a) sterically hinders its binding of δ-carotene, but does not affect lycopene binding, thereby diverting metabolic flux towards ß-carotene formation. Thus, A126L-CstLcyB2a expression in lycopene-accumulating bacterial strains resulted in enhanced production of ß-carotene. Transient expression of A126L-CstLcyB2a in C. sativus stigmas enhanced biosynthesis of crocin. Its stable expression in Nicotiana tabacum enhanced ß-branch carotenoids and phyto-hormones such as abscisic acid (ABA) and gibberellic acids (GA's). N. tabacum transgenic lines showed better growth performance and photosynthetic parameters including maximum quantum efficiency (Fv/Fm) and light-saturated capacity of linear electron transport. Exogenous application of hormones and their inhibitors demonstrated that a higher ratio of GA4/ABA has positive effects on biomass of wild-type and transgenic plants. Thus, these findings provide a platform for the development of new-generation crops with improved productivity, quality and stress tolerance.

Assessment of obstructive airway disease in the multicenter SWORD survey India.

BACKGROUND AND OBJECTIVES: The study aimed to assess the control of asthma and the severity of chronic obstructive pulmonary disease (COPD) and evaluate the adequacy of treatment in patients presenting to the outpatient department (OPD) across India. The secondary aim was to assess the risk factors associated with poorly controlled asthma and severe COPD. MATERIALS AND METHODS: This is the analysis of Phase IV of the multicenter questionnaire-based point prevalence SWORD survey, conducted in May 2018, and designed to capture details on disease control and treatment as per the global initiative for asthma and the global initiative for chronic obstructive lung disease guidelines. RESULTS: Of the 5,311 respiratory disease patients presenting to the OPD, there were 1,419 and 412 patients with asthma and COPD, respectively, across 290 sites in India. There were 1,022 (72%) patients having well-controlled asthma, 293 (20.6%) patients with partly controlled asthma, and 104 (7.4%) patients with poorly controlled asthma. Of the 412 patients with COPD, there were 307 (74.5%) in A, 54 (13.1%) in B, and 51 (12.4%) in the E category. In spite of poor control or severe disease, 34.8% of asthmatic and 25.7% of patients in the B and E categories of COPD were not using any medicine. Risk factors for partly and poorly controlled asthma included rain wetting (adjusted odds ratio [AOR]: 1.59, 95% confidence interval [CI]: 1.02-2.47) and gastroesophageal reflux disease (AOR: 1.50, 95%CI: 1.08-2.10). CONCLUSION: This study identifies a gap in the treatment of both poorly controlled asthma and severe COPD. A substantial number of patients had poorly controlled asthma and severe COPD, and many were either not taking treatment or taking it inappropriately.

Retrospective analysis of neoplasms in patients using angiotensin receptor blockers.

In recent years, regulatory agencies have raised concerns about the presence of potentially carcinogenic substances in certain formulations of Angiotensin Receptor Blockers (ARBs). Specifically, nitrosamines and azido compounds have been identified in some ARB products. Nitrosamines are known to have carcinogenic properties and are associated with an increased risk of neoplasms. Spontaneous safety reports from the EudraVigilance Data Analysis System (EVDAS) database were analyzed to investigate cases of neoplasms associated with ARBs. A disproportionality analysis was conducted, calculating the reporting odds ratio (ROR) and 95% confidence intervals (CIs) using a case/non-case approach for each ARB drug. The EVDAS database contained 68,522 safety reports related to ARBs (including Azilsartan, Candesartan, Irbesartan, Olmesartan, Losartan, Valsartan, and Telmisartan), among which 3,396 (5%) cases were associated with neoplasms. The majority of these cases were reported in Germany (11.9%), followed by France (9.7%). Approximately 70% of the reports were submitted by healthcare professionals such as physicians and nurses. Among the ARBs, valsartan had the highest ROR for neoplasm (ROR 1.949, 95% CI 1.857-2.046). This association remained significant when comparing ARBs with other classes of antihypertensive drugs, including ACE inhibitors, beta-blockers, calcium channel blockers, and diuretics. Our study identifies a possible signal of an association between ARBs, particularly valsartan, and the risk of neoplasms. However, further observational and analytical studies are necessary to confirm these findings and elucidate the underlying mechanisms.

An in-depth analysis of factors and forecasting techniques for emerging solid waste streams.

Technological advances have led to the generation of novel streams of solid wastes, comprising materials previously excluded from traditional waste considerations. The absence of proper handling and management policies for these Emerging Solid Waste Streams (ESWSs) poses a great cause of concern. Proper estimation of current and future quantities is necessary for efficient policy making. This study, through a systematic literature review, analyses forecasting models for four major ESWSs: PV waste, e-waste, battery waste, and biomedical waste. A total of 40 modelling methodologies which successfully forecast the quantities of these ESWSs are identified and analyzed in this review. These highly heterogeneous models are classified into several crucial categories based on the modelling method, independent variable, geographical scale and data type involved. This categorization proves to be pivotal in the selection of an appropriate forecasting model. Around 40 modelling methods and 100+ independent variables, crucial for a successful forecast are identified and categorized. This study also focuses on the uncertainty involved in input data, a factor contributing to inaccurate predictions. It further entails identifying and analysing potential data sources, examining the rationale behind their selection, and providing recommendations for choosing suitable data sources. Beyond analysis, potential future areas of research and gaps involved in the field of forecasting ESWSs have also been highlighted. Serving as a valuable guide for beginners, the research also proposes a methodology to navigate the intricacies of forecasting ESWSs, contributing to both our understanding of forecasting models and the development of robust waste management policies in the evolving technological landscape.

How substituents tune quantum interference in meta-OPE3 molecular junctions to control thermoelectric transport.

Quantum interference (QI) can strongly affect electric and thermoelectric properties of molecular junctions (MJs). So far, however, a limited number of experimental studies have explored the influence of QI on thermoelectric transport in MJs. To address this open point, we synthesized derivatives of meta-OPE3 with an electron-withdrawing nitro (-NO2) substituent or an electron-donating N,N-dimethyl amine (-NMe2) substituent, attached at two different positions of the central phenylene ring, and systematically studied the electrical conductance and thermopower of the corresponding gold-molecule-gold junctions. We show that (i) the electrical conductance of MJs depends weakly on the polarity of the substituents but strongly on the substitution position and (ii) MJs with the N,N-dimethyl amine group feature a higher thermopower than MJs with the nitro group. We also present calculations based on first principles, which explain these trends and show that the transport properties are highly sensitive to microscopic details in junctions, exhibiting destructive QI features.

Study on significance of pillar dimensions on stability of caverns in rocks with high overburden.

The present study aims to examine the influence of pillar widths on the stability of caverns. Case study considering two caverns viz. Powerhouse Cavern (PHC) and Transformerhall Cavern (TC), in a major hydro-electric project in the eastern Himalayas is considered. 2D and 3D numerical analysis was carried out for w/B ratios 1.5 and 3.0 respectively. Primary aspects like major principal stress and development of plastic zone were investigated for the two pillar widths. An optimum pillar width was observed that resulted in reduced stress acting along the cavern periphery, a better stress distribution, and no overlap of plastic zones between the caverns. Further, the optimum pillar width resulted in a better stress-redistribution with progress of excavation and the in-situ stress became constant at an earlier stage of excavation. Observations from comparative analysis revealed that a pillar width nearly equal to the largest dimension or twice the width of the larger of the caverns in the group resulted in a better stability and hence can be considered as the optimum width. Furthermore, the analysis suggests that along the pillar width, maximum stress was observed at mid-height, and it is more in the vicinity of the face of the caverns.

Ultra-wide range non-contact surface profilometry based on reconfigurable fiber interferometry.

Surface characterization is essential for a technical evaluation of device performance and to assess surface dynamics in fabrication units. In this regard, a number of surface profiling techniques have been developed that accurately map sample topography but have significantly limited detection range. Here, we demonstrate a cascaded non-contact fiber interferometer-based approach for real-time high-precision surface profiling with ultrawide detection range (nm to mm). This compact interferometers' system operates by wavelength interrogation that provides a scope to study several types of surfaces and has a tunable cavity configuration for varying the sensitivity and range of the detectable features' size. The proposed system enables nanoscale profiling over 10-1000 nm with resolution of 10 nm and microscale mapping over 1-1000 µm with resolution of 0.2 µm. The technique is utilized to map the features of nanostructured surfaces and estimate the surface roughness of standardized industrial samples.

Air pollution mitigation and suspended particulate matter retention potential of selected plant species across seasonal variation in the urban area.

Air pollution is a pressing environmental concern in urban areas, especially in densely populated cities like Delhi, India. However, plant species can effectively capture airborne suspended pollutants. Given this, the present study aimed to investigate the seasonal variations (pre- and post-monsoon) in the pollution-mitigating potential, biochemical characteristics, and suspended particulate matter (SPM) capturing capacities of select plant species in Delhi. Also, using biochemical parameters, plant morphology, and socioeconomic factors, the study computed tolerance indices such as the Air Pollution Tolerance Index (APTI) and Anticipated Performance Index (API). Ficus religiosa L. exhibited the highest APTI value of 11.94, while Polyalthia longifolia (Sonn.) Thwaites displayed the lowest 7.99 APTI value during the pre-monsoon. Ficus benghalensis L. showed the maximum SPM adhesion on the leaves, with a deposition of 1305.46 µg/cm2, whereas F. religiosa exhibited the lowest SPM deposition of 56.62 µg/cm2. Moreover, the statistical analysis indicated a positive correlation between ascorbic acid and chlorophyll content (R2 > 0.6) with APTI. Also, F. religiosa demonstrated a significant Pearson's correlation (P < 0.05) between chlorophyll content and SPM deposition during the pre-monsoon. The study highlighted the dynamic nature of plant-based air pollution mitigation. It offered valuable insights into the potential of green infrastructure as a sustainable solution for addressing air quality concerns in urban environments. The results emphasized the significance of selecting adequate plant species and considering seasonal variations in developing urban greening strategies to combat air pollution.

PMTPred: machine-learning-based prediction of protein methyltransferases using the composition of k-spaced amino acid pairs.

Protein methyltransferases (PMTs) are a group of enzymes that help catalyze the transfer of a methyl group to its substrates. These enzymes play an important role in epigenetic regulation and can methylate various substrates with DNA, RNA, protein, and small-molecule secondary metabolites. Dysregulation of methyltransferases is implicated in various human cancers. However, in light of the well-recognized significance of PMTs, reliable and efficient identification methods are essential. In the present work, we propose a machine-learning-based method for the identification of PMTs. Various sequence-based features were calculated, and prediction models were trained using various machine-learning algorithms using a tenfold cross-validation technique. After evaluating each model on the dataset, the SVM-based CKSAAP model achieved the highest prediction accuracy with balanced sensitivity and specificity. Also, this SVM model outperformed deep-learning algorithms for the prediction of PMTs. In addition, cross-database validation was performed to ensure the robustness of the model. Feature importance was assessed using shapley additive explanations (SHAP) values, providing insights into the contributions of different features to the model's predictions. Finally, the SVM-based CKSAAP model was implemented in a standalone tool, PMTPred, due to its consistent performance during independent testing and cross-database evaluation. We believe that PMTPred will be a useful and efficient tool for the identification of PMTs. The PMTPred is freely available for download at https://github.com/ArvindYadav7/PMTPred and http://www.bioinfoindia.org/PMTPred/home.html for research and academic use.

Intensive care unit-acquired weakness and mechanical ventilation: A reciprocal relationship.

Intensive care unit-acquired weakness (ICU-AW; ICD-10 Code: G72.81) is a syndrome of generalized weakness described as clinically detectable weakness in critically ill patients with no other credible cause. The risk factors for ICU-AW include hyperglycemia, parenteral nutrition, vasoactive drugs, neuromuscular blocking agents, corticosteroids, sedatives, some antibiotics, immobilization, the disease severity, septicemia and systemic inflammatory response syndrome, multiorgan failure, prolonged mechanical ventilation (MV), high lactate levels, older age, female sex, and pre-existing systemic morbidities. There is a definite association between the duration of ICU stay and MV with ICU-AW. However, the interpretation that these are modifiable risk factors influencing ICU-AW, appears to be flawed, because the relationship between longer ICU stays and MV with ICU-AW is reciprocal and cannot yield clinically meaningful strategies for the prevention of ICU-AW. Prevention strategies must be based on other risk factors. Large multicentric randomized controlled trials as well as meta-analysis of such studies can be a more useful approach towards determining the influence of these risk factors on the occurrence of ICU-AW in different populations.