Marginal Adaptation of BioRoot RCS, MTA-Fillapex, EpoxySeal, and Sealapex to Radicular Dentin: An In Vitro Study.

Introduction The primary goal of endodontic therapy is to achieve a three-dimensional filling of the root canal. The sealer plays a crucial role in filling the residual gaps between the gutta-percha and the canal wall, which prevents fluids and bacteria from entering the canal and causing complications. This study evaluates and compares the sealing ability of four root canal sealers to the root dentin. Methods and materials In this study, forty single-rooted mandibular premolar teeth with fully-formed apices were collected. The teeth were decoronated and instrumented. Later, the teeth were randomly divided into four groups, each comprising ten specimens, based on the sealer used for obturation. The first group was obturated with BioRoot RCS (Septodont, Septodont Holding, Paris, France), the second group with MTA-Fillapex (Angelus, Angelus Indústria de Produtos Odontológicos S/A, Brazil), the third group with EpoxySeal (Safe Endo, SafeEndo Dental India Pvt. Ltd., Gujarat, India), and the fourth group with Sealapex (Kerr, Kerr Corporation, Brea, CA). Following obturation, the teeth were sectioned vertically using a diamond disc, and the marginal adaptation of these sealers to the root dentin was assessed using scanning electron microscopy (SEM). The values were then statistically analyzed. Results EpoxySeal showed the maximum amount of marginal adaptation (5.22±0.47), followed by BioRoot RCS (5.48±0.58) and MTA-Fillapex (8.24±0.74), and the least amount of marginal adaptation was shown by Sealapex (11.64±1.35). Based on the analysis of variance (ANOVA), a statistically significant difference (p≤0.001) was observed. According to Tukey's post hoc test, the mean difference between all groups showed statistical significance (p≤0.05) except between BioRoot RCS and EpoxySeal. Conclusion Within the limitations of this in vitro study, it is concluded that EpoxySeal and BioRoot RCS exhibited superior marginal adaptation to the root dentin. BioRoot RCS can be recommended as a sealer of choice owing to its additional properties, such as antimicrobial and hydrophilic affinity during setting.

Early Childhood Screen Use Contexts and Cognitive and Psychosocial Outcomes: A Systematic Review and Meta-analysis.

Importance: The multifaceted nature of screen use has been largely overlooked in favor of a simplistic unidimensional measure of overall screen time when evaluating the benefits and risks of screen use to early childhood development. Objective: To conduct a systematic review and meta-analysis to examine associations of screen use contexts in early childhood with cognitive and psychosocial outcomes. Data Sources: PsycINFO, Embase, MEDLINE Ovid, ProQuest, CINAHL, Web of Science, and Scopus were searched from inception to December 31, 2023. Study Selection: A total of 7441 studies were initially identified. Studies were included if they examined associations between a contextual factor of screen use among children aged 0 to 5.99 years and cognitive or psychosocial development. Observational, experimental, and randomized clinical trial study designs were included. Data Extraction and Synthesis: All studies were independently screened in duplicate following PRISMA guidelines. Effect sizes of associations (r) from observational studies were pooled using random-effects 3-level meta-analyses. The remaining study designs were narratively synthesized. Main Outcomes and Measures: Screen use contexts included content (child directed and age inappropriate), type (program viewing and game or app use), co-use (or solo use), background television, caregiver screen use during child routines, and purpose. Outcomes were cognitive (executive functioning, language, and academic skills) or psychosocial (internalizing and externalizing behavior problems and socioemotional competence). Results: Overall, 100 studies (176 742 participants) were included, and of these, 64 observational studies (pooled sample sizes ranging from 711 to 69 232) were included in meta-analyses. Program viewing (n = 14; k = 48; r, -0.16; 95% CI, -0.24 to -0.08) and background television (n = 8; k = 18; r, -0.10; 95% CI, -0.18 to -0.02) were negatively associated with cognitive outcomes, while program viewing (n = 6; k = 31; r, -0.04; 95% CI, -0.07 to -0.01), age-inappropriate content (n = 9; k = 36; r, -0.11; 95% CI, -0.17 to -0.04), and caregiver screen use during routines (n = 6; k = 14; r, -0.11; 95% CI, -0.20 to -0.03) were negatively associated with psychosocial outcomes. Co-use was positively associated with cognitive outcomes (n = 8; k = 28; r, 0.14; 95% CI, 0.03 to 0.25). Conclusions and Relevance: Findings show small to moderate effect sizes that highlight the need to consider screen use contexts when making recommendations for families, clinicians, and educators beyond screen time limits; including encouraging intentional and productive screen use, age-appropriate content, and co-use with caregivers.

Measurement Method Options to Investigate Digital Screen Technology Use by Children and Adolescents: A Narrative Review.

The role and potential impact of digital screen technology in the lives of children is heavily debated. Current evidence is limited by the weakness of measures typically used to characterise screen use, predominantly proxy- or self-reports with known inaccuracy and bias. However, robust and detailed evidence is needed to provide practical trustworthy guidance to families and professionals working with families. The purpose of this paper is to support researchers to select measurement method(s) that will provide robust and detailed evidence. The paper outlines the challenges in measuring contemporary screen use by children, using a child-technology interaction model to organise considerations. A range of different methods used to measure digital screen technology use in children and adolescents (i.e., questionnaires, diaries, electronically prompted sampling, direct observation, fixed room cameras, wearable/portable cameras, audio recorders, screen-device onboard logging, remote digital trace logging and proximity logging) are described along with examples of their use and constructs typically measured as well as a summary of the advantages and disadvantages of each method. A checklist and worked examples are provided to support researchers determining the best methods or combination of methods for a research project.

Neuroimaging and fluid biomarkers in Parkinson's disease in an era of targeted interventions.

A major challenge in Parkinson's disease is the variability in symptoms and rates of progression, underpinned by heterogeneity of pathological processes. Biomarkers are urgently needed for accurate diagnosis, patient stratification, monitoring disease progression and precise treatment. These were previously lacking, but recently, novel imaging and fluid biomarkers have been developed. Here, we consider new imaging approaches showing sensitivity to brain tissue composition, and examine novel fluid biomarkers showing specificity for pathological processes, including seed amplification assays and extracellular vesicles. We reflect on these biomarkers in the context of new biological staging systems, and on emerging techniques currently in development.

Predictors of Shock-Reduction Programming and Its Impact on Implantable Cardioverter-Defibrillator Therapies and Mortality: The CERTITUDE Registry.

BACKGROUND: Shock-reduction implantable cardioverter-defibrillator programming (SRP) was associated with fewer therapies and improved survival in randomized controlled trials, but real-world studies investigating SRP and associated outcomes are limited. METHODS AND RESULTS: The BIOTRONIK CERTITUDE registry was linked with the Medicare database. We included all patients with an implantable cardioverter-defibrillator implanted between August 22, 2012 and September 30, 2021 in the United States. SRP was defined as programming to either a therapy rate cutoff ≥188 beats per minute or number of intervals to detection ≥30/40 for treatment. Among 6781 patients (mean 74±9 years; 27% women), 3393 (50%) had SRP. Older age, secondary prevention indication, and device implantation in the southern or western United States were associated with lower use of SRP. The cumulative incidence rate of implantable cardioverter-defibrillator shocks was lower in the SRP group (5.1% shocks/patient year) compared with the non-SRP group (7.2% shocks/patient year) (adjusted hazard ratio [HR], 0.83 [95% CI, 0.73-0.96]; P=0.005). Over a median follow-up of 2.9 years, 739 deaths occurred in the SRP group and 822 deaths occurred in the non-SRP group (adjusted HR, 0.97 [95% CI, 0.88-1.07]; P=0.569). SRP was associated with a lower all-cause mortality among patients without ischemic heart disease compared with patients with ischemic heart disease (adjusted HR, 0.64 [95% CI, 0.48-0.87] versus adjusted HR, 1.02 [95% CI, 0.92-1.14]; Pinteraction=0.004). CONCLUSIONS: Adoption of SRP is low in real-world clinical practice. Age, clinical variables, and geographic factors are associated with use of SRP. In this study, SRP-associated decrease in mortality was limited to patients without ischemic heart disease.

Analysis of Top 100 Articles Cited in Top Pain Journals: A Comprehensive Two Decade Bibliometric Analysis.

PURPOSE OF REVIEW: A bibliometric analysis was performed to analyze and compare the top 100 articles from the most well-known five pain journals: Pain, Pain Physician, Pain Medicine, Regional Anesthesia & Pain Medicine, and Journal of Pain. A query of the Scopus database was performed to filter the top 200 most cited articles from each journal. CY score was calculated for the top 200 articles from each journal by dividing the total number of citations by the number of years the article has been published. RECENT FINDINGS: All articles had a collective analysis of the top CY scores, the top 100 of which were further analyzed. The pain subtype, type of publication, country of origin, and senior author were extrapolated from these top 100 articles. Frequency tables were organized, revealing Pain Journal as the highest publishing journal out of the top 100 articles. Chronic pain was the most studied subtype of pain and narrative reviews were the most common type of evidence. Studies were also organized in five-year epochs to analyze the frequency of publications in these intervals. Results show that 2010-2014 had the highest frequency of articles published overall. Journal Impact Factor (JIF) is also an objective indicator of the average number of citations per published article from each journal. The journal with the highest JIF was Pain with an impact factor of 7.926. (6).

Androgen receptor activity inversely correlates with immune cell infiltration and immunotherapy response across multiple cancer lineages.

There is now increasing recognition of the important role of androgen receptor (AR) in modulating immune function. To gain a comprehensive understanding of the effects of AR activity on cancer immunity, we employed a computational approach to profile AR activity in 33 human tumor types using RNA-Seq datasets from The Cancer Genome Atlas. Our pan-cancer analysis revealed that the genes most negatively correlated with AR activity across cancers are involved in active immune system processes. Importantly, we observed a significant negative correlation between AR activity and IFNγ pathway activity at the pan-cancer level. Indeed, using a matched biopsy dataset from subjects with prostate cancer before and after AR-targeted treatment, we verified that inhibiting AR enriches immune cell abundances and is associated with higher IFNγ pathway activity. Furthermore, by analyzing immunotherapy datasets in multiple cancers, our results demonstrate that low AR activity was significantly associated with a favorable response to immunotherapy. Together, our data provide a comprehensive assessment of the relationship between AR signaling and tumor immunity.

Rates of pulmonary vein reconnection at repeat ablation for recurrent atrial fibrillation and its impact on outcomes among females and males.

BACKGROUND: Several studies have demonstrated that females have a higher risk of arrhythmia recurrence after pulmonary vein (PV) isolation for atrial fibrillation (AF). There are limited data on sex-based differences in PV reconnection rates at repeat ablation. We aimed to investigate sex-based differences in electrophysiological findings and atrial arrhythmia recurrence after repeat AF ablation METHODS: We conducted a retrospective study of 161 consecutive patients (32% female, age 65 ± 10 years) who underwent repeat AF ablation after index PV isolation between 2010 and 2022. Demographics, procedural characteristics and follow-up data were collected. Recurrent atrial tachycardia (AT)/AF was defined as any atrial arrhythmia ≥30 s in duration. RESULTS: Compared to males, females tended to be older and had a significantly higher prevalence of prior valve surgery (10 vs. 2%; P = .03). At repeat ablation, PV reconnection was found in 119 (74%) patients. Males were more likely to have PV reconnection at repeat ablation compared to females (81 vs. 59%; P = .004). Excluding repeat PV isolation, there were no significant differences in adjunctive ablation strategies performed at repeat ablation between females and males. During follow-up, there were no significant differences in freedom from AT/AF recurrence between females and males after repeat ablation (63 vs. 59% at 2 years, respectively; P = .48). CONCLUSIONS: After initial PV isolation, significantly fewer females have evidence of PV reconnection at the time of repeat ablation for recurrent AF. Despite this difference, long-term freedom from AT/AF was similar between females and males after repeat ablation.

Intense and problematic social media use and sleep difficulties of adolescents in 40 countries.

INTRODUCTION: Social media has become a ubiquitous part of everyday life; however, evidence suggests patterns of social media use can affect sleep health in children and adolescents. This study aimed to examine the associations of intense and problematic social media use (SMU) with sleep-onset difficulties in adolescence. METHODS: We analysed data from 212,613 adolescents aged 11-15 years (51.1% girls) from 40 European and North American countries that participated in the 2017/2018 Health Behaviour in School-aged Children survey. Intense SMU assessed how often respondents had online contact through social media, and problematic SMU was assessed by symptoms of addiction to social media. Sleep-onset difficulties were assessed using a self-reported item. Multilevel mixed-effects logistic regression was used to obtain the estimates. RESULTS: Sleep-onset difficulties were more common among girls than boys (27.1% vs 20.8%). Intense SMU was significantly associated with sleep-onset difficulties in boys in 17 countries and in girls in 25 countries, while problematic SMU was significantly associated in most of the participating countries. Overall, exposure to problematic SMU alone was highly associated with sleep-onset difficulties both in girls (OR 2.20, 2.04-2.38) and boys (OR 1.88, 1.73-2.04), while the association estimates for intense SMU were smaller and comparable across gender (Girls: OR 1.27, 1.23-1.31; Boys: OR 1.22, 1.18-1.27). Sensitivity analyses supported the above findings. CONCLUSIONS: Intense and/or problematic SMU were associated with sleep-onset difficulties across gender with associations being higher for problematic compared to intense SMU. Prospective research with objective measures is needed to understand the causal mechanisms underlying these relationships.

Immunomodulatory Effect of Phytoactive Compounds on Human Health: A Narrative Review Integrated with Bioinformatics Approach.

BACKGROUND: Immunomodulation is the modification of immune responses to control disease progression. While the synthetic immunomodulators have proven efficacy, they are coupled with toxicity and other adverse effects, and hence, the efforts were to identify natural phytochemicals with immunomodulatory potential. OBJECTIVE: To understand the immunomodulatory properties of various phytochemicals and investigate them in Echinacea species extracts using an in silico approach. METHODOLOGY: Several scientific database repositories were searched using different keywords: "Phytochemicals," "Alkaloids," "Polyphenols," "Flavonoids," "Lectins," "Glycosides," "Tannins," "Terpenoids," "Sterols," "Immunomodulators," and "Human Immune System" without any language restriction. Additionally, the study specifically investigated the immunomodulatory properties of Echinacea species extracts using gene expression analysis of GSE12259 from NCBI-GEO through the Bioconductor package GEOquery and limma. RESULTS: A total of 182 studies were comprehensively analyzed to understand immunomodulatory phytochemicals. The in silico analysis highlighted key biological processes (positive regulation of cytokine production, response to tumor necrosis factor) and molecular functions (cytokine receptor binding, receptor-ligand activity, and cytokine activity) among Echinacea species extracts contributing to immune responses. Further, it also indicated the association of various metabolic pathways, i.e., pathways in cancer, cytokine-cytokine receptor interaction, NF-kappa B, PI3K-Akt, TNF, MAPK, and NOD-like receptor signaling pathways, with immune responses. The study revealed various hub targets, including CCL20, CCL4, GCH1, SLC7A11, SOD2, EPB41L3, TNFAIP6, GCLM, EGR1, and FOS. CONCLUSION: The present study presents a cumulative picture of phytochemicals with therapeutic benefits. Additionally, the study also reported a few novel genes and pathways in Echinacea extracts by re-analyzing GSE 12259 indicating its anti-inflammatory, anti-viral, and immunomodulatory properties.

Driving employee organizational citizenship behaviour through CSR: An empirical study in the context of luxury hotels.

In the recent years, there has been a rising interest among luxury brands to be environmentally responsible and promote employee discretionary behaviour. However, the underlying mechanisms that explain why, when, and how employees demonstrate discretionary environmental attitudes and behaviour in luxury contexts are not well-known. To accelerate this discourse; the current study examines the impact of environmental corporate social responsibility (CSR) on employees' organizational citizenship behaviour towards environment. Drawing insights from social cognitive theory, this study empirically validates a conceptual model through the data collected from 406 employees of luxury hotels and analysed using structural equation modelling. The results confirm the significant effect of environmental CSR on employees' organizational citizenship behaviour towards environment. The results also reveal that employee environmental commitment and green work engagement partially mediate the proposed relationship. Moreover, contrary to expectations, gender did not moderate the influence of environmental CSR on employee environmental commitment and employee green work engagement, whereas the relationship between environmental CSR and organizational citizenship behaviour towards environment was stronger for males than females. We argue that creative environmental CSR assignments in luxury hotel chains help employees develop engagement, identification, and commitment with the environmental strategy of the hotels towards solving grave environmental problems that modern societies are grappling with.

Predicting hypertension control using machine learning.

Hypertension is a widely prevalent disease and uncontrolled hypertension predisposes affected individuals to severe adverse effects. Though the importance of controlling hypertension is clear, the multitude of therapeutic regimens and patient factors that affect the success of blood pressure control makes it difficult to predict the likelihood to predict whether a patient's blood pressure will be controlled. This project endeavors to investigate whether machine learning can accurately predict the control of a patient's hypertension within 12 months of a clinical encounter. To build the machine learning model, a retrospective review of the electronic medical records of 350,008 patients 18 years of age and older between January 1, 2015 and June 1, 2022 was performed to form model training and testing cohorts. The data included in the model included medication combinations, patient laboratory values, vital sign measurements, comorbidities, healthcare encounters, and demographic information. The mean age of the patient population was 65.6 years with 161,283 (46.1%) men and 275,001 (78.6%) white. A sliding time window of data was used to both prohibit data leakage from training sets to test sets and to maximize model performance. This sliding window resulted in using the study data to create 287 predictive models each using 2 years of training data and one week of testing data for a total study duration of five and a half years. Model performance was combined across all models. The primary outcome, prediction of blood pressure control within 12 months demonstrated an area under the curve of 0.76 (95% confidence interval; 0.75-0.76), sensitivity of 61.52% (61.0-62.03%), specificity of 75.69% (75.25-76.13%), positive predictive value of 67.75% (67.51-67.99%), and negative predictive value of 70.49% (70.32-70.66%). An AUC of 0.756 is considered to be moderately good for machine learning models. While the accuracy of this model is promising, it is impossible to state with certainty the clinical relevancy of any clinical support ML model without deploying it in a clinical setting and studying its impact on health outcomes. By also incorporating uncertainty analysis for every prediction, the authors believe that this approach offers the best-known solution to predicting hypertension control and that machine learning may be able to improve the accuracy of hypertension control predictions using patient information already available in the electronic health record. This method can serve as a foundation with further research to strengthen the model accuracy and to help determine clinical relevance.

Comparative evaluation of remineralization potential of four different remineralization agents on human enamel: An in vitro study.

Aim: The study aimed to assess the remineralizing potential of four different commercially available agents using a Scanning Electron Microscope (SEM), energy dispersive X-ray (EDX) analysis, and Vickers Microhardness (VMH) Test. Materials and Methods: Forty-four specimens (n = 11 per group) were prepared from extracted teeth. A window of 6 mm × 4 mm was made on all the specimens that represented three zones, namely, sound enamel, demineralized enamel, and remineralized enamel. The zone for demineralized enamel was subjected to four different remineralizing agents; casein phosphopeptide-amorphous calcium phosphate fluoride (CPP-ACPF), tricalcium phosphate fluoride (TCP-F), calcium sucrose phosphate (CSP), and self-assembling peptide (P11-4). Remineralization (REM) was assessed using VMH; the structural changes were assessed using SEM that was analyzed using EDX analysis. The specimens were subjected to a newer regimen of demineralization. One-way ANOVA followed by post hoc Tukey test was used with a level of significance at P ≤ 0.05. Results: There were no significant differences in VMH between the groups for sound enamel (P = 0.472) and demineralized enamel (P = 0.116). VMH was statistically significantly more for P11-4 and the least for CPP-ACPF (P = 0.011). A post hoc analysis revealed higher VMH for P11-4 compared to CPP-ACPF (P = 0.014) and TCP-F (P = 0.035). SEM showed a homogeneous layer of minerals for all groups except CPP-ACPF. TCP-F reported a higher degree of REM, followed by P11-4 as assessed using EDX analysis. Conclusion: Self-assembling peptide (P11-4) exhibited a higher degree of REM than other remineralizing agents followed by CSP.

Longitudinal Associations of Magnetic Susceptibility with Clinical Severity in Parkinson's Disease.

BACKGROUND: Dementia is common in Parkinson's disease (PD), but there is wide variation in its timing. A critical gap in PD research is the lack of quantifiable markers of progression, and methods to identify early stages of dementia. Atrophy-based magnetic resonance imaging (MRI) has limited sensitivity in detecting or tracking changes relating to PD dementia, but quantitative susceptibility mapping (QSM), sensitive to brain tissue iron, shows potential for these purposes. OBJECTIVE: The objective of the paper is to study, for the first time, the longitudinal relationship between cognition and QSM in PD in detail. METHODS: We present a longitudinal study of clinical severity in PD using QSM, including 59 PD patients (without dementia at study onset), and 22 controls over 3 years. RESULTS: In PD, increased baseline susceptibility in the right temporal cortex, nucleus basalis of Meynert, and putamen was associated with greater cognitive severity after 3 years; and increased baseline susceptibility in basal ganglia, substantia nigra, red nucleus, insular cortex, and dentate nucleus was associated with greater motor severity after 3 years. Increased follow-up susceptibility in these regions was associated with increased follow-up cognitive and motor severity, with further involvement of hippocampus relating to cognitive severity. However, there were no consistent increases in susceptibility over 3 years. CONCLUSIONS: Our study suggests that QSM may predict changes in cognitive severity many months prior to overt cognitive involvement in PD. However, we did not find robust longitudinal changes in QSM over the course of the study. Additional tissue metrics may be required together with QSM for it to monitor progression in clinical practice and therapeutic trials. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Microwave quantum diode.

The fragile nature of quantum circuits is a major bottleneck to scalable quantum applications. Operating at cryogenic temperatures, quantum circuits are highly vulnerable to amplifier backaction and external noise. Non-reciprocal microwave devices such as circulators and isolators are used for this purpose. These devices have a considerable footprint in cryostats, limiting the scalability of quantum circuits. As a proof-of-concept, here we report a compact microwave diode architecture, which exploits the non-linearity of a superconducting flux qubit. At the qubit degeneracy point we experimentally demonstrate a significant difference between the power levels transmitted in opposite directions. The observations align with the proposed theoretical model. At - 99 dBm input power, and near the qubit-resonator avoided crossing region, we report the transmission rectification ratio exceeding 90% for a 50 MHz wide frequency range from 6.81 GHz to 6.86 GHz, and over 60% for the 250 MHz range from 6.67 GHz to 6.91 GHz. The presented architecture is compact, and easily scalable towards multiple readout channels, potentially opening up diverse opportunities in quantum information, microwave read-out and optomechanics.

Comparative analyses reveal a phenylalanine ammonia lyase dependent and salicylic acid mediated host resistance in Zingiber zerumbet against the necrotrophic soft rot pathogen Pythium myriotylum.

Little is known about the molecular basis of host defense in resistant wild species Zingiber zerumbet (L.) Smith against the soil-borne, necrotrophic oomycete pathogen Pythium myriotylum Drechsler, which causes the devastating soft rot disease in the spice crop ginger (Zingiber officinale Roscoe). We investigated the pattern of host defense between Z. zerumbet and ginger in response to P. myriotylum inoculation. Analysis of gene expression microarray data revealed enrichment of phenylpropanoid biosynthetic genes, particularly lignin biosynthesis genes, in pathogen-inoculated Z. zerumbet compared to ginger. RT-qPCR analysis showed the robust activation of phenylpropanoid biosynthesis genes in Z. zerumbet, including the core genes PAL, C4H, 4CL, and the monolignol biosynthesis and polymerization genes such as CCR, CAD, C3H, CCoAOMT, F5H, COMT, and LAC. Additionally, Z. zerumbet exhibited the accumulation of the phenolic acids including p-coumaric acid, sinapic acid, and ferulic acid that are characteristic of the cell walls of commelinoid monocots like Zingiberaceae and are involved in cell wall strengthening by cross linking with lignin. Z. zerumbet also had higher total lignin and total phenolics content compared to pathogen-inoculated ginger. Phloroglucinol staining revealed the enhanced fortification of cell walls in Z. zerumbet, specifically in xylem vessels and surrounding cells. The trypan blue staining indicated inhibition of pathogen growth in Z. zerumbet at the first leaf whorl, while ginger showed complete colonization of the pith within 36 h post inoculation (hpi). Accumulation of salicylic acid (SA) and induction of SA regulator NPR1 and the signaling marker PR1 were observed in Z. zerumbet. Silencing of PAL in Z. zerumbet through VIGS suppressed downstream genes, leading to reduced phenylpropanoid accumulation and SA level, resulting in the susceptibility of plants to P. myriotylum. These findings highlight the essential role of PAL-dependent mechanisms in resistance against P. myriotylum in Z. zerumbet. Moreover, our results suggest an unconventional role for SA in mediating host resistance against a necrotroph. Targeting the phenylpropanoid pathway could be a promising strategy for the effective management of P. myriotylum in ginger.