Development of maximum relevant prior feature ensemble (MRPFE) index to characterize future drought using global climate models.

Drought is one of the foremost outcomes of global warming and global climate change. It is a serious threat to humans and other living beings. To reduce the adverse impact of drought, mitigation strategies as well as sound projections of extreme events are essential. This research aims to strengthen the robustness of anticipated twenty-first century drought by combining different Global Climate Models (GCMs). In this article, we develop a new drought index, named Maximum Relevant Prior Feature Ensemble index that is based on the newly proposed weighting scheme, called weighted ensemble (WE). In the application, this study considers 32 randomly scattered grid points within the Tibetan Plateau region and 18 GCMs of Coupled Model Intercomparison Project Phase 6 (CMIP6) of precipitation. In this study, the comparative inferences of the WE scheme are made with the traditional simple model averaging (SMA). To investigate the trend and long-term probability of various classes, this research employs Markov chain steady states probability, Mann-Kendall trend test, and Sen's Slope estimator. The outcomes of this research are twofold. Firstly, the comparative inference shows that the proposed weighting scheme has greater efficiency than SMA to conflate GCMs. Secondly, the research indicates that the Tibetan Plateau is projected to experience "moderate drought (MD)" in the twenty-first century.

Development of Ridge Ensemble Standardized Drought Index (RESDI) for improving drought characterization and future assessment.

Global warming upsets the environmental balance and leads to more frequent and severe climatic events. These extreme events include floods, droughts, and heatwaves. These widespread extreme events disrupt various sectors of ecosystems directly. However, among all these events, drought is one of the most prolonged climatic events that significantly destroys the ecosystem. Therefore, accurate and efficient assessment of droughts is necessary to mitigate their detrimental impacts. In recent years, several drought indices based on global climate models (GCMs) of Coupled Model Intercomparison Project Phase 6 (CMIP6) have been proposed to quantify and monitor droughts. However, each index has its advantages and limitations. As each index ensembles different models by using different statistical approaches, it is well known that the margin of error is always a part of statistics. Therefore, this study proposed a new drought index to reduce the uncertainty involved in the assessment of droughts. The proposed index named the Ridge Ensemble Standardized Drought Index (RESDI) is based on the innovative ensemble approach termed ridge parameters and distance-based weighting (RDW) scheme. And the development of this RDW scheme is based on two types of methods i.e., ridge regression and divergence-based method. In this research, we ensemble 18 different GCMs of CMIP6 using the RDW scheme. A comparative analysis of the RDW scheme is performed against the simple model average (SMA) and Bayesian model averaging (BMA) schemes at 32 locations on the Tibetan plateau. The comparison revealed that RDW has less mean absolute error (MAE) and root-mean-square error (RMSE). Therefore, the developed RESDI based on RDW is used to project drought properties under three distinct shared socioeconomic pathway (SSP) scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5, across seven different time scales (1, 3, 7, 9, 12, 24, and 48). The projected data is then standardized by using the K-components Gaussian mixture model (K-CGMM). In addition, the study employs steady-state probabilities (SSPs) to determine the long-term behavior of drought. The outcome of this research shows that "normal drought (ND)" has the highest probability of occurrence under all scenarios and time scales.

CETARS/CAR Practice Guideline on Imaging the Pregnant Trauma Patient.

Imaging of pregnant patients who sustained trauma often causes fear and confusion among patients, their families, and health care professionals regarding the potential for detrimental effects from radiation exposure to the fetus. Unnecessary delays or potentially harmful avoidance of the justified imaging studies may result from this understandable anxiety. This guideline was developed by the Canadian Emergency, Trauma and Acute Care Radiology Society (CETARS) and the Canadian Association of Radiologists (CAR) Working Group on Imaging the Pregnant Trauma Patient, informed by a literature review as well as multidisciplinary expert panel opinions and discussions. The working group included academic subspecialty radiologists, a trauma team leader, an emergency physician, and an obstetriciangynaecologist/maternal fetal medicine specialist, who were brought together to provide updated, evidence-based recommendations for the imaging of pregnant trauma patients, including patient safety aspects (eg, radiation and contrast concerns) and counselling, initial imaging in maternal trauma, specific considerations for the use of fluoroscopy, angiography, and magnetic resonance imaging. The guideline strives to achieve clarity and prevent added anxiety in an already stressful situation of injury to a pregnant patient, who should not be imaged differently.

Initial Imaging of Pregnant Patients in the Trauma Bay-Discussion and Review of Presentations at a Level-1 Trauma Centre.

Trauma is the leading non-obstetric cause of maternal and fetal mortality and affects an estimated 5-7% of all pregnancies. Pregnant women, thankfully, are a small subset of patients presenting in the trauma bay, but they do have distinctive physiologic and anatomic changes. These increase the risk of certain traumatic injuries, and the gravid uterus can both be the primary site of injury and mask other injuries. The primary focus of the initial management of the pregnant trauma patient should be that of maternal stabilization and treatment since it directly affects the fetal outcome. Diagnostic imaging plays a pivotal role in initial traumatic injury assessment and should not deviate from normal routine in the pregnant patient. Radiographs and focused assessment with sonography in the trauma bay will direct the use of contrast-enhanced computed tomography (CT), which remains the cornerstone to evaluate the potential presence of further management-altering injuries. A thorough understanding of its risks and benefits is paramount, especially in the pregnant patient. However, like any other trauma patient, if evaluation for injury with CT is indicated, it should not be denied to a pregnant trauma patient due to fear of radiation exposure.

Insights from the molecular docking analysis of gambogic acid with the Chikungunya spike glycoprotein E2.

Chikungunya fever is a mosquito-borne disease caused by the chikungunya virus (CHIKV) and has drawn substantial attention in recent years. So far, no effective treatment is available in the form of drugs or vaccines. In this study, we aimed to screen some drugs against the pathogenic Chikungunya virus through a molecular docking approach. As a fact, the spike E2 protein plays an important role in viral attachment to the human host cell, binding to a cell receptor MXRA8. The molecules screened for in-silico interaction against MXRA8 were selected with top hit based on binding affinity. The existing intermolecular bonds were investigated further in the active site of the protein that interacts with the top-hit ligands. Gambogic acid (guttic acid) was depicted as the furthermost potential inhibitor when compared to the others it had the lowest binding affinity (-10.9 kcal/mol). Gambogic acid, as a potential antiviral agent against the spike E2 protein, could be a promising candidate.

Equity, diversity & inclusion in academic radiology: An elusive dream.

BACKGROUND: Disparities in sex and race/ethnicity continue to persist in the academic radiology. This study addresses the sex/racial underrepresentation and evolution in the academic radiology. PURPOSE: To evaluate academic radiology temporal trends disparities by analyzing sex and race/ethnicity diversity in academic degree and tenure status. MATERIALS AND METHODS: A retrospective cross-sectional analysis conducted using American Association of Medical College database between 2007 and 2018. Trends in academic degree, tenure status, race/ethnicity, and sex assessed with linear regression analysis and Poisson regression model for annual percent change with statistical significance of p < 0.05. RESULTS: Out of 107,213 radiologists 72%, n = 76,893 males and 64%, n = 68,738 white faculty with 1277 males and 872 females. White MD-degree radiologists constitute 67.2%, Asian (20.9%), Black (2.5%), Hispanic (3.2%), multiple (3.4%), unknown (1.8%) and "other" (1%) races with a similar PhD/other doctoral and dual-degree. White faculty recruitment trend (n2007 = 955, n2018 = 703) and representation (-0.82% per year; 95% CI, -1.00 to -0.63; p < 0.0001) decreased, while Asian URM decreased respectively (n2007 = 152, n2018 = 205) (0.68% per year; 95% CI, 0.58 to 0.77; p < 0.0001). Females were underrepresented in all categories. CONCLUSION: URM and females are underrepresented in academic radiology. Academic degree types and tenure track may contribute to White and male academic radiologists overrepresentation.

Development of an assessment framework for the proposed Multi-Scalar Seasonally Amalgamated Regional Standardized Precipitation Evapotranspiration Index (MSARSPEI) for regional drought classifications in global warming context.

Drought hazard is one of the main consequences of global warming and climate change. Unlike other natural disasters, drought has complex climatic features. Therefore, accurate drought monitoring is a challenging task. This paper proposes a framework for assessing drought classifications at the regional level. The proposed framework provides a new drought monitoring indicator called Multi-Scalar Seasonally Amalgamated Regional Standardized Precipitation Evapotranspiration Index (MSARSPEI). MSARSPEI is an amalgam of the Standardized Precipitation Evapotranspiration (SPEI) (Vicente-Serrano et al., 2010) and Regionally Improved Weighted Standardized Drought Index (RIWSDI) (Jiang et al., 2020). In the proposed framework, the Boruta algorithm of feature selection is configured to ensemble monthly time series data of evaporation in various meteorological stations located in specific regions. Further, the framework suggests the standardization of the Cumulative Distribution Function (CDF) of K-Component Gaussian (K-CG) mixture distribution function for obtaining MSARSPEI data. The application of the proposed framework is based on seven different regions of Pakistan. For comparative analysis, this paper compared the performance of MSARSPE with SPEI using Pearson correlation. Outcomes associated with this research show that the proposed regional drought index has a strong correlation with the competing indicator in various time scales. In addition, the study assessed the spatial extent of various drought classifications under MSARSPEI. In summation, this research concludes that the choice of the MSARSPEI is rationally valid and more appropriate for the regional assessment of drought under the global warming scenario.

On the Extended Generalized Inverted Kumaraswamy Distribution.

In this work, we provide a new generated class of models, namely, the extended generalized inverted Kumaraswamy generated (EGIKw-G) family of distributions. Several structural properties (survival function (sf), hazard rate function (hrf), reverse hazard rate function (rhrf), quantile function (qf) and median, s th raw moment, generating function, mean deviation (md), etc.) are provided. The estimates for parameters of new G class are derived via maximum likelihood estimation (MLE) method. The special models of the proposed class are discussed, and particular attention is given to one special model, the extended generalized inverted Kumaraswamy Burr XII (EGIKw-Burr XII) model. Estimators are evaluated via a Monte Carlo simulation (MCS). The superiority of EGIKw-Burr XII model is proved using a lifetime data applications.

National Institutes of Health: Gender Differences in Radiology Funding.

RATIONALE AND OBJECTIVE: Radiology has traditionally remained one of the most male-dominated specialties, although a higher proportion of women are now beginning to occupy roles as academic radiologists than their male counterparts. The present study investigated trends in National Institutes of Health (NIH) funding within Diagnostic Radiology stratified by gender, and correlated with measures of academic output, including h-index. MATERIALS AND METHODS: Data on funding was obtained from the online NIH Research Portfolio Online Reporting Tools Expenditure and Results for fiscal years 2016-2019, and information regarding each Principal Investigator (PI) was obtained from the Scopus database and departmental websites. Mann-Whitney U tests were performed on collected data for statistical comparison of continuous variables. RESULTS: Of the 2929 grants included in this analysis, 1789 (61.07%) were awarded to male PIs and 1140 (38.9%) to female PIs.  Among PIs holding a PhD degree, male PIs had a higher mean grant amount ($619,807.00) compared to female PIs ($158,486.00). CONCLUSION: Although female representation within academic radiology has been increasing, the mean NIH grants awarded to women is less than that awarded to men. Reasons for this are numerous and may include differential prioritization of career objectives among men and women, although such rationalization is inevitably speculative in nature. Significant gender differences in NIH funding were seen at the PhD level, and the strongest correlation between NIH funding and academic output was observed for the h-index of female PIs. These results underscore the fact that women are ostensibly being held to a higher academic standard than men in terms of funding decisions.

Development and Optimization of Supercritical Fluid Extraction Setup Leading to Quantification of 11 Cannabinoids Derived from Medicinal Cannabis.

In this study, the optimal setup of supercritical fluid extraction (SFE) was designed and developed, leading to the quantitation of 11 distinct cannabinoids (cannabidivann (CBDV), tetrahydrocannabivann (THCV), cannabidiol (CBD), cannabigerol (CBG) cannabidiolic acid (CBDA), cannabigerolic acid (CBGA), cannabinol (CBN), delta 9-tetrahydrocannabinol (Δ9-THC), delta 8-tetrahydrocannabinol (Δ8-THC), cannabichomere (CBC) and delta 9-tetrahydrocannabinol acid (THCA-A)) extracted from the flowers of medicinal cannabis (sp. Sativa). Supercritical carbon dioxide (scCO2) extraction was performed at 37 °C, a pressure of 250 bar with the maximum theoretical density of CO2 (893.7 kg/m3), which generated the highest yield of cannabinoids from the flower-derived extract. Additionally, a cold separator (separating chamber) was used and positioned immediately after the sample containing chamber to maximize the yield. It was also found that successive washing of the extract with fresh scCO2 further increased yields. Ultra-high performance liquid chromatography coupled with DAD (uHPLC-DAD) was used to develop a method for the quantification of 11 cannabinoids. The C18 stationary phase was used in conjunction with a two solvent system gradient program resulting in the acquisition of the well-resolved chromatogram over a timespan of 32 min. The accuracy and precision of isolated cannabinoids across inter-and intra-day periods were within acceptable limits (<±15%). The assay was also fully validated and deemed sensitive from linearity, LOQ, and LOD perspective. The findings of this body of work are expected to facilitate improved conditions for the optimal extraction of select cannabinoids using scCO2, which holds promise in the development of well-characterized medicinal cannabis formulations. As to our best knowledge, this is the first study to report the uHPLC quantification method for the analysis of 11 cannabinoids from scCO2 extract in a single run with more than 1 min peak separation.

Clinical Applications of Dual-Energy CT.

Dual-energy CT (DECT) provides insights into the material properties of tissues and can differentiate between tissues with similar attenuation on conventional single-energy imaging. In the conventional CT scanner, differences in the X-ray attenuation between adjacent structures are dependent on the atomic number of the materials involved, whereas in DECT, the difference in the attenuation is dependent on both the atomic number and electron density. The basic principle of DECT is to obtain two datasets with different X-ray energy levels from the same anatomic region and material decomposition based on attenuation differences at different energy levels. In this article, we discuss the clinical applications of DECT and its potential robust improvements in performance and postprocessing capabilities.

Extraction of medicinal cannabinoids through supercritical carbon dioxide technologies: A review.

The pharmaceutical importance of cannabis is growing due to the natural non-psychoactive and psychoactive cannabinoids. For medicinal and forensic purposes, the effective extraction and quantification are essential to fully utilise the natural cannabinoids. The supercritical fluid extraction (SFE) process has gained increasing interest due to its selective extraction, short processing time (partly due to the efficient solvent removal process - supercritical fluid to vapour - leaving a solvent free product), low running cost, and low impact on the environment, compared to that of most conventional extraction methods. In this review, the extraction of cannabinoids through SFE methods have been summarised. The advantages of SFE of cannabinoids over conventional extraction procedures; such as microwave-assisted extraction, solid phase microextraction, hard-cap espresso, soxhlet extraction, high-throughput homogenization, ultrasound-assisted extraction, vacuum distillation of lipid-based extract, and liquid-liquid extraction are discussed. Furthermore, this review examines the importance of the SFE of cannabinoids by coupling with various conventional extraction methods, separation techniques, selection of a suitable co-solvent/modifier, and appropriate sample preparation. Additionally, the applications of using SFE technology and cannabinoids are reviewed with a focus on industrial, pharmaceutical, waste by-products, and purification.

Overnight attending radiologist coverage decreases imaging-related emergency department recalls by at least 90.

PURPOSE: Benefits of overnight attending radiologist final reports are debated, often stating low resident discrepancy rates, usually assessed retrospectively. The objective of this study was to assess the impact of overnight final reporting on the recall rates for patients in the emergency department (ED) receiving overnight imaging. METHODS: Retrospective matched cohorts of two separate years prior (prior-16 and prior-17) and 1 year after (post-18) introduction of overnight attending radiologist final reporting. Patients receiving imaging between 22:00 and 07:00 h and returned to ED within 48 h of initial visit discharge were electronically identified. String matching identified return visits possibly related to imaging completed on first visit. Identified return visit notes were scored by three observers individually. Unclear and discrepant cases were resolved by consensus meeting, using full patient charts where needed. Incidences were provided and logistic regression analysis defined if coverage model was a predictor for recall. Odds ratios were calculated. RESULTS: ED patient count with imaging completed overnight in prior-16 was 9200, in prior-17 was 9543, and in post-18 was 9992. The number of overnight imaging studies performed was respectively 13,883, 14,463, and 15,112. Imaging-related ED recalls were respectively 54, 61, and 7, a decrease with the new coverage model of 89% to true and at least 90% of expected recalls.Logistic regression demonstrated that coverage model was a significant predictor of ED recalls with chi-square of 59.86 and p < 0.001, an R2 of 0.03 (Hosmer and Lemeshow). Compared to post-18, ED patients had an odds ratio of 8.42 (prior-16) and 9.18 (prior-17) to be called back to ED. CONCLUSION: Overnight final reporting significantly decreases ED recalls for patients receiving diagnostic imaging overnight. While numbers are low even prior to rollout, the number should be minimized wherever possible to diminish patient anxiety and discomfort, reduce ED overcrowding and expedite definitive management. KEY MESSAGES/WHAT THIS PAPER ADDS: Section 1: What is already known on this subject • Radiology resident preliminary report discrepancy rates are low. • Overnight attending radiologist coverage is a model increasingly applied in academic and large non-academic centers. • Patient recalls to the ED are a burden to the patient and impact patient throughput in (over)crowded EDs. Section 2: What this study adds • First study to look at the impact of overnight attending final reports on the recall rate for ED patients with overnight imaging performed. • While absolute numbers are low, there is a significant decrease in patients returning to ED for imaging related issues after introducing overnight attending coverage. • Resident autonomy can be preserved and training enhanced while increasing patient safety and comfort.

Gender Disparity in Chest Radiology in North America.

PURPOSE: In the current cultural climate, gender disparity is a topical and contentious issue. In academic medicine, there is an underrepresentation of female faculty in leadership positions with lower research output and fewer grant awards. We study the gender differences in faculty rank, leadership positions, and research output among chest radiologists in North America. MATERIALS AND METHODS: A list of clinical faculty at radiology programs in North America was obtained using the FREIDA database and program websites. Demographic information and data pertaining to academic rank, peer-reviewed publications, and research productivity of each chest radiologist was obtained from Doximity and SCOPUS databases. RESULTS: Four hundred ten (281 male:129 female) academic chest radiologists were included. Females were underrepresented at senior faculty level accounting for 18.8% (n = 21) of full, 29.2% (n = 21) of associate and 40.7% (n = 61) of assistant professors. 23.1% (n = 14) of department chiefs were women. Women were more likely to occupy a faculty position in chest radiology in Canada than in US (P < 0.05). The median H-index, and numbers of publications and citations were lower for females than male faculty (P < 0.05). Male faculty had more years of experience - median of 19 years, 16.5 years for females (P < 0.05). CONCLUSIONS: Gender disparity exists in chest radiology with similar male predominance in terms of senior faculty rank, leadership roles, and research productivity to other medical specialties. The observed deficiency of research and scholarly output among female chest radiologists and the paucity of aspirational female radiologists in senior academic/leadership positions are factors which perpetuate this gender disparity and contribute to persistence of the gender pay gap.

Emergent Comprehensive Imaging of the Major Trauma Patient: A New Paradigm for Improved Clinical Decision-Making.

Modern advances in the medical imaging layered onto sophisticated trauma resuscitation strategies in highly organized regionalized trauma systems have created a paradigm shift in the management of severely injured patients. Although immediate exploratory surgery to identify and control life-threatening injuries still has its place, accelerated image acquisition and interpretation procedures now make it rare for trauma surgeons in major centers to venture into damage control surgery unaided by computed tomography (CT) or other imaging, particularly in cases of blunt trauma. Indeed, because of the high incidence of clinically occult injuries associated with major mechanism trauma, and even lower energy trauma in frail or elderly patients, CT imaging has become as invaluable as physical examination, if not more so, in critical decision-making in support of optimal outcomes. In particular, whole-body computed tomography (WBCT) completed promptly after initial assessment of a major trauma provides a quick, comprehensive survey of injuries that enables better surgical planning, obviates the need for multiple subsequent studies, and permits specialized reconstructions when needed. For those at risk for problematic occult injury after modest trauma, WBCT facilitates safer discharge planning and simplified follow-up. Through standardized guidelines, streamlined protocols, synoptic reporting, accessible web-based platforms, and active collaboration with clinicians, radiologists dedicated to trauma and emergency imaging enable clearer understanding of complex injuries in high-risk patients which leads to superior clinical decision-making. Whereas dated dogma has long warned that the CT scanner is the last place to take a challenging trauma patient, modern practice suggests that, more often than not, early comprehensive imaging can be done safely and efficiently and is in the patient's best interest. This article outlines how the role of diagnostic imaging for major trauma has evolved considerably in recent years.

Role of sulfur in combating arsenic stress through upregulation of important proteins, and in-silico analysis to study the interaction between phosphate transporter (PHO1), arsenic and phosphate in spinach.

An adequate amount of Sulfur (S) is essential for proper plant growth and defence against abiotic stresses including metals and metalloids. Arsenic (As) contamination is increasing in agricultural soils rapidly due to anthropogenic activities. Sulfur deficiency and arsenic stress could be more harmful than these individual stresses alone. To understand the impact of S-deficiency and arsenic (31 ppm Na3AsO4 of soil) on ecophysiology, growth, inorganic phosphate level, and proteomic profile of spinach, the present study was conducted. Interaction of arsenic with phosphate transporters, phytochelatins, and glutathione was also analyzed in silico. Comparative 2D MS/MS proteomics helped in the identification of important proteins which might be the key players under S-deficiency and As stress. Upregulation and downregulation of 36 and 21 proteins under As stress; 19 and 36 proteins under S-deficiency; 38 and 31 proteins under combined stress, respectively was observed. A total, 87 proteins subjected to identification via MS/MS ion search were found to be associated with important plant functions. PHO1 abundance was highly influenced by As stress; hence an in-silico homology modeling based molecular docking was performed which indicated high interaction between PHO1 and As/phosphate. Varied proximity of arsenic with phosphate transporters, phytochelatin, and glutathione revealed these components as a potential target of As toxicity/detoxification in Spinach, reflecting sulfur as an important criterion for arsenic tolerance.

Cinematic Rendering of Traumatic Intrathoracic Gastric Herniation.

Online supplemental material is available for this article.

Bayesian network based procedure for regional drought monitoring: The Seasonally Combinative Regional Drought Indicator.

Drought is a complex natural hazard. It occurs due to a prolonged period of deficient in rainfall amount in a certain region. Unlike other natural hazards, drought hazard has a recurrent occurrence. Therefore, comprehensive drought monitoring is essential for regional climate control and water management authorities. In this paper, we have proposed a new drought indicator: the Seasonally Combinative Regional Drought Indicator (SCRDI). The SCRDI integrates Bayesian networking theory with Standardized Precipitation Temperature Index (SPTI) at varying gauge stations in various month/seasons. Application of SCRDI is based on five gauging stations of Northern Area of Pakistan. We have found that the proposed indicator accounts the effect of climate variation within a specified territory, accurately characterizes drought by capturing seasonal dependencies in geospatial variation scenario, and reduces the large/complex data for future drought monitoring. In summary, the proposed indicator can be used for comprehensive characterization and assessment of drought at a certain region.

Differential impact of some metal(loid)s on oxidative stress, antioxidant system, sulfur compounds, and protein profile of Indian mustard (Brassica juncea L.).

Levels of arsenic (As), chromium (Cr), and copper (Cu) are increasing in the soils worldwide. Such contaminants cause toxicity in the plant systems which adversely affects growth and productivity. The objective of the present investigation was to elucidate individual and combined effects of As, Cr, and Cu (100 µM each) stress in metal hyper-accumulator plant Indian mustard (Brassica juncea L.), exposed for a week. The highest accumulation was in the roots and in decreasing order viz. Cu > As > Cr. The magnitude of oxidative stress was maximal in combined stress, followed by As, Cr, and then Cu stress. Glutathione in conjunction with glutathione reductase, glutathione peroxidase, and glutathione S-transferase increased in all set of stress treatments, notably when exposed to Cr alone. In addition, the level of sulfur-rich compounds like cysteine, phytochelatins, and non-protein thiols increased under each stress indicating efficient coupling of the enzyme system and sulfur-containing compounds during stress conditions. The highest tolerance or growth index of plants was recorded for Cu. Protein profiling of leaf tissues showed modulation of protein patterns in each stress. Mediator of RNA polymerase II transcription subunit 1 isoform X1, RuBisCO (large subunit), and ribosomal protein S3 proteins were more abundant under Cr and Cu stress. Zinc finger A20/AN1 domain-containing stress-associated protein 5-like protein was more abundant under Cu stress. HSP (15.7 kDa) and autophagy protein 5-like were in higher abundance under As and combined stress. Our results suggest that Indian mustard has a differential mode of defense against a particular stressor at the level of protein expression profile.