Dupilumab Induces Long-Term On-Treatment Clinical Remission in Patients With Type 2 Asthma.

BACKGROUND: Remission is proposed as a multicomponent outcome for patients with severe asthma. OBJECTIVE: This post hoc analysis of QUEST (NCT02414854) and TRAVERSE (NCT02134028) evaluated whether dupilumab treatment leads to clinical asthma remission (≥12 months with no severe exacerbations, zero oral corticosteroids [OCS] use, stabilized or improved lung function, patient-reported asthma control <1.5) and assessed its durability in patients with uncontrolled, moderate-to-severe type 2 asthma (blood eosinophils ≥150 cells/µL or fractional exhaled nitric oxide ≥20 ppb at parent-study baseline) who are not on maintenance OCS. METHODS: In QUEST, patients (≥12 years) were randomized to dupilumab 200/300 mg or placebo every 2 weeks (q2w) for 52 weeks. In TRAVERSE, all patients received dupilumab 300 mg q2w for up to 96 weeks. We assessed proportion of patients meeting criteria for on-treatment clinical remission up to 48 weeks of TRAVERSE. RESULTS: At QUEST baseline, 1040 patients receiving dupilumab and 544 on placebo had type 2 asthma; of those, 842 (dupilumab/dupilumab) and 437 (placebo/dupilumab) enrolled in TRAVERSE. At QUEST Week 52 (Year 1), 37.2% of patients receiving dupilumab met clinical remission criteria, compared with 22.2% on placebo (all P < .001). At Week 48 of TRAVERSE (Year 2 overall), 42.8% (dupilumab/dupilumab) and 33.4% (placebo/dupilumab) of patients met clinical remission criteria. Overall, 29.5% of patients in the dupilumab/dupilumab group met the criteria at both Years 1 and 2. CONCLUSIONS: Dupilumab treatment enabled approximately one-third of patients with type 2 asthma to meet the multicomponent endpoint for on-treatment clinical asthma remission for up to 2 years.

Upholding human rights in mega sports: A study of governance practices within the IOC and FIFA through the lens of the Ruggie Principle.

The human rights and mega sport events (SMEs) discourses gain massive importance and have grown immensely in recent years. Most of the time, the sports governance bodies are responsible for administration and management of these sport mega events. Keeping in consideration the situation regarding increasing involvement, the study focuses on the field of sport along with pleasure and basic rights. Through re-evaluation the commercial factors of sports, the mega governing bodies of sport (IOC & FIFA), and researchers discuss what is referred to commonly as Ruggie Principle, and both would be applied to IOC & FIFA practices, operation, and management regarding their events. This study is essential as it emphasizes the contribution and importance of carrying out human rights impact assessments, particularly in the context of hosting rights. The survey's findings reveal that human rights and due diligence assessments are integral components of organizations such as FIFA and the IOC. This study, being an empirical investigation, allowed us to arrive at some normative conclusions that had significant implications for practices and policy issues. Additionally, it laid the groundwork for future research in the crucial area of SMEs globally.

Morchella conica, Morchella esculenta and Morchella delicosa Induce Apoptosis in Breast and Colon Cancer Cell Lines via Pro-apoptotic and Anti-apoptotic Regulation.

OBJECTIVE: To explore the potential apoptotic mechanisms of 3 Morchella extracts (Morchella conica, Morchella esculenta and Morchella delicosa) on breast and colon cancer cell lines using apoptotic biomarkers. METHODS: Human breast cell line (MCF-7) and colon cancer cell line (SW-480) were treated with methanol and ethanol extracts of 3 Morchella species with concentration ranging from 0.0625 to 2 mg/mL. After that their effects on gene expression of apoptosis related markers (pro-apoptotic markers including Bax, caspase-3, caspase-7, and caspase-9, and the antiapoptotic marker including Bcl-2) were determined using reverse transcription polymerase chain reaction. RESULTS: All Morchella extracts reduced breast and colon cancer cells proliferation at half inhibitory concentration (IC50) of 0.02 ±0.01 to 0.68 ±0.30 mg/mL. As expected, all Morchella extracts significantly increased gene expressions of Bax, caspase-3, caspase-7, and caspase-9 and downregulated the gene expression of Bcl-2 in MCF-7 and SW-480 cell lines (P<0.05). CONCLUSIONS: Morchella extracts demonstrated significant anti-proliferative activity against breast and colon cancer cell lines via an apoptosis induction mechanism. Anticancer activity of Morchella extracts and activation of apoptosis in breast and colon cancer cells suggest that it may be used to develop chemotherapeutic agents against cancer in future.

Dupilumab versus mepolizumab for chronic rhinosinusitis with nasal polyposis: an indirect treatment comparison.

BACKGROUND: Dupilumab and mepolizumab have shown efficacy and safety in treating chronic rhinosinusitis with nasal polyps (CRSwNP). OBJECTIVE: Without available results from head-to-head randomized control trials (RCTs) comparing dupilumab with other biologics, we conducted an indirect treatment comparison (ITC) with mepolizumab. METHODS: A systematic literature review identified RCTs of biologics in CRSwNP. A Bucher ITC was performed, including nasal polyp score (NPS; range 0-8), nasal congestion (NC; 0-3), loss of smell (LOS; 0-3), University of Pennsylvania Smell Identification Test (UPSIT; 0-40), visual analog score (VAS; 0-10), Sino-Nasal Outcome Test (SNOT-22; 0-110), systemic corticosteroids (SCS) use or surgery for nasal polyps (NPs), and binary responder analyses for NPS and SNOT-22 improvement by ≥1/≥2 and ≥8.9, respectively. Matching-adjusted indirect comparisons (MAIC) were conducted as supporting analyses. RESULTS: SINUS-24/-52 (SYNAPSE-like subpopulation only) and SYNAPSE were identified for ITC. At 24 weeks, change from baseline in NPS and proportion of patients with a binary responder outcome of NPS improvement ≥1 were significantly (P<0.05) greater in patients receiving dupilumab versus mepolizumab. At 52 weeks, improvements in NPS, NC, LOS, UPSIT, and VAS were significantly (P<0.05) greater for dupilumab versus mepolizumab. Proportion of patients achieving binary responder outcomes of NPS and SNOT-22 improvement by ≥1/≥2 and ≥8.9, respectively, was significantly (P<0.05) higher, while SCS use was significantly (P<0.05) reduced, for dupilumab versus mepolizumab. Surgery rate was numerically reduced with dupilumab versus mepolizumab. The MAIC analyses confirmed these results. CONCLUSIONS: Dupilumab was associated with greater improvements in CRSwNP-related outcomes versus mepolizumab.

Mild and symptom-free months in patients with chronic rhinosinusitis with nasal polyps treated with dupilumab.

BACKGROUND: Commonly reported outcomes of clinical trials in chronic rhinosinusitis with nasal polyps (CRSwNP) may have limited relatability for patients. OBJECTIVE: To enhance the patient relatability of outcomes in dupilumab clinical trials for CRSwNP, daily symptom scores were used to determine new patient­centered endpoints: mild-to-no-symptom months (MSM) and symptom-free months (SFM). METHODS: Post hoc analysis of patients receiving dupilumab 300 mg or placebo every 2 weeks for 24 weeks (SINUS-24 study; NCT02912468) or 52 weeks (SINUS­52; NCT02898454). Patients recorded symptom severity scores daily for each of nasal congestion, loss of smell, and anterior and posterior rhinorrhea on a scale of 0-3 (0 = no symptoms; 1 = mild; 2 = moderate; 3 = severe). We assessed the proportions of patients reporting only mild or no symptoms (MSM) or no symptoms (SFM) throughout the 28­day periods prior to randomization, Week 24 (pooled studies), and Week 52 (SINUS­52). RESULTS: Significantly more dupilumab­treated than placebo-treated patients achieved MSM for all four symptoms (Week 24: 31.0% vs 4.4%; OR 12.9 [6.4, 25.8]; Week 52: 38.3% vs 2.6%; OR 15.6 [5.9, 41.0]; both P < .0001). Additionally, significantly more dupilumab-treated than placebo­treated patients achieved SFM for at least one of the four symptoms (Week 24: 35.4% vs 10.8%; odds ratio [OR] 4.9 [95% confidence interval 3.1, 7.8]; Week 52: 50.0% vs 9.2%; OR 9.1 [4.6, 17.9]; both P < .0001). CONCLUSION: One-third of patients with severe CRSwNP treated with dupilumab achieved MSM for all four cardinal symptoms (nasal congestion, loss of smell, and anterior and posterior rhinorrhea). Moreover, half of patients achieved SFM for at least one of the four symptoms. These results support the benefit of dupilumab in improving patient­centered outcomes.

Effects of copper sulphate stress on the morphological and biochemical characteristics of Spinacia oleracea and Avena sativa.

Plants are subjected to various biotic and abiotic stresses that significantly impact their growth and productivity. To achieve balanced crop growth and yield, including for leafy vegetables, the continuous application of micronutrient is crucial. This study investigates the effects of different concentrations of copper sulphate (0, 75, 125, and 175 ppm) on the morphological and biochemical features of Spinacia oleracea and Avena sativa. Morphological parameters such as plant height, leaf area, root length, and fresh and dry weights were optimized at a concentration of 75 ppm copper sulfate. At this concentration, chlorophyll a & b levels increased significantly in Spinacia oleracea (462.9 and 249.8 𝜇𝑔/𝑔), and Avena sativa (404.7 and 437.63𝜇𝑔/𝑔). However, carotenoid content and sugar levels in Spinacia oleracea were negatively affected, while sugar content in Avena sativa increased at 125 ppm (941.6 µg/ml). Protein content increased in Spinacia oleracea (75 ppm, 180.3 µg/ml) but decreased in Avena sativa. Phenol content peaked in both plants at 75 ppm (362.2 and 244.5 µg/ml). Higher concentrations (175 ppm) of copper sulfate reduced plant productivity and health. Plants exposed to control and optimal concentrations (75 and 125 ppm) of copper sulpate exhibited the best health and growth compared to those subjected to higher concentrations. Maximum plant height, leaf area, root length, fresh and dry weights were observed at lower concentrations (75 and 125 ppm) of copper sulfate, while higher concentrations caused toxicity. Optimal copper sulfate levels enhanced chlorophyll a, chlorophyll b, total chlorophyll, protein, and phenol contents but inhibited sugar and carotenoid contents in both Spinacia oleracea and Avena sativa. Overall, increased copper sulfate treatment adversely affected the growth parameters and biochemical profiles of these plants.

Predicting of novel homoserine dehydrogenase inhibitors against Paracoccidioides brasiliensis: integrating in silico and in vitro approaches.

Aim: To search for potential inhibitors to homoserine dehydrogenase (HSD) in Paracoccidioides brasiliensis the causative agent of paracoccidioidomycosis, an infection with a high mortality rate in Brazil.Materials & methods: The enzyme was modeled and used in the virtual screening of the compounds. The library was first screened by the Autodock, in which 66 molecules were better ranked than substrate, and then, also evaluated by the Molegro and Gold programs.Results: The HS23 and HS87 molecules were selected in common by the three programs, and ADME/Tox evaluation indicates they are not toxic. The molecular dynamics of PbHSD bonded to ligands showed stable complexes until 50 ns. To validate the results, compounds were purchased for assays of minimum inhibitory concentration (MIC), minimum fungicidal concentration (MFC), synergic profile with Amphotericin B (AmB) and cytotoxicity. The two molecules presented MIC of 32 µg/ml and MFC of 64 µg/ml against the P. brasiliensis (strain Pb18). They also showed synergistic activity with AmB and a lack of toxicity against Hela and Vero cell lines.Conclusion: These results suggest that the HS23 and HS87 are promising candidates as PbHSD inhibitors and may be used as hits for the development of new drugs against paracoccidioidomycosis.

[Box: see text].

Dupilumab response onset, maintenance, and durability in patients with severe CRSwNP.

BACKGROUND: Responder analyses of SINUS phase 3 study data have shown clinically meaningful improvements across multiple outcomes of treatment of chronic rhinosinusitis with nasal polyps (CRSwNP) with dupilumab. OBJECTIVE: Our aim was to gain a better understanding of dynamics of the response to dupilumab over 52 weeks. METHODS: We used data from the SINUS-52 (ClinicalTrials.gov identifier NCT02898454) intention-to-treat population to perform a post hoc analysis of patients with severe CRSwNP who had received dupilumab, 300 mg once every 2 weeks, or placebo. Response, which was defined as an improvement from baseline of a least 1 point in Nasal Polyp Score (NPS), nasal congestion (NC) score, and loss of smell (LoS) score, as well as an improvement of at least 8.9 points on the 22-Item Sino-Nasal Outcome Test (SNOT-22), was assessed for rapidity, maintenance, and durability. RESULTS: The study included 303 patients (150 of whom received dupilumab and 153 of whom received placebo). For each outcome measure, a greater proportion of patients achieved a first response by week 16 (rapidity) with dupilumab versus with placebo; specifically, the respective differences in indicators between the 2 groups by week 16 were as follows: NPS, 75.3% versus 39.2%; NC score, 60.0% versus 24.2%; LoS score, 60.7% versus 15.7%; and SNOT-22 score, 83.3% versus 66.0%. Of those patients given dupilumab who had a response by week 16, more than 80% maintained their response at week 52 (maintenance). Over 52 weeks, greater proportions of those patients given dupilumab were responders on at least 80% of time points; specifically, the respective differences in indicators between the 2 groups by week 16 were as follows: NPS, 46.7% versus 2.6%; NC score, 46.7% versus 9.2%; LoS score, 47.3% versus 3.9%; and SNOT-22 score, 62.0% versus 21.6% (durability). CONCLUSION: Most patients with CRSwNP achieve clinically meaningful responses to dupilumab by week 16, and most such patients in our study had maintenance and durability of response with continued treatment over time.

A user-friendly method for estimating discrete choice land-use model in a panel data setting.

Land-use modeling stands as a pivotal tool in shaping sustainable development policies. With the rapid advancement of remote-sensing technology and the widespread adoption of satellite imagery-based land cover products, these datasets have emerged as primary sources for understanding land-use dynamics due to their high spatial and temporal resolutions. Yet, it remains challenging to effectively integrate such rich panel data into nonlinear econometric land-use models. This paper introduces a method to seamlessly incorporate land cover panel data into econometric models, enabling comprehensive utilization of temporal information within a single framework.-By capturing dynamic land-use patterns, the method enhances prediction accuracy while mitigating issues such as autocorrelated error terms commonly encountered in panel data analysis.-The method is straightforward to implement and applicable to many nonlinear models, making it particularly suitable for datasets with large sample sizes.

Corrigendum to "A user-friendly method for estimating discrete choice land-use model in a panel data setting" [MethodsX 13 (2024) 102841].

[This corrects the article DOI: 10.1016/j.mex.2024.102841.].

Literature-based Survey of Medicinal Plants Since 1900: A Case Study to Treat Cancer in the Sultanate of Oman.

ETHNOPHARMACOLOGICAL RELEVANCE: Due to the high prevalence of cancer, researchers for the past decades have made considerable efforts for its management and treatment. Medicinal plants have always been exploited to discover novel anticancer agents. Oman's huge biodiversity has created a rich source of traditional medicine. OBJECTIVE: The current survey has aimed to document the traditionally used medicinal plants of Oman and their therapeutic role in the treatment of cancer. MATERIAL METHOD: This study comprises of literature-based survey through different databases, including Google, Scopus, Google Scholar, Web of Science, Science Direct, Springer Link, BioMed Central and PubMed. RESULTS: The current review revealed a total of 57 plant species that belong to 35 families that are used in the treatment of cancer in Oman. Most documented plants belong to Solanaceae (6 sp.), Apocyanaceae (5 sp.) and Lamiaceae (4 sp.). The literature reveals that the residents of the area mostly use leaves (38.5%) and prepare their recipes in the form of decoction (40.3%). Moreover, herbs are the most dominant life form (43.85%). Among all forms of cancer in Oman, breast (47%), wound (26), and lung cancer (0.5%) were found dominantly. A literature study confirmed that the medicinal plants used for cancer in Oman are rich in phytochemicals such as quercetin, allicin, coumarin, alliin, kaempferol, solamargine, rutin, lupeol, ursolic acid and luteolin that have shown significant biological activities including anti-cancer potential. It reflects the efficacy of these plants to be used as a medicine in clinical trials. Among all, Boswellia sacra Flueck. is of key importance due to the presence Boswellic acid being used for the treatment of different types of cancer. CONCLUSION: The residents of Oman have great knowledge about the traditional use of medicinal plants for the treatment of various diseases like cancer. The therapeutic potential and physiological efficacy of Omani medicinal plants should be further explored at a molecular level via in vivo and in vitro experiments.

Lightweight Prompt Learning Implicit Degradation Estimation Network for Blind Super Resolution.

Blind image super-resolution (SR) aims to recover a high-resolution (HR) image from its low-resolution (LR) counterpart under the assumption of unknown degradations. Many existing blind SR methods rely on supervising ground-truth kernels referred to as explicit degradation estimators. However, it is very challenging to obtain the ground-truths for different degradations kernels. Moreover, most of these methods rely on heavy backbone networks, which demand extensive computational resources. Implicit degradation estimators do not require the availability of ground truth kernels, but they see a significant performance gap with the explicit degradation estimators due to such missing information. We present a novel approach that significantly narrows such a gap by means of a lightweight architecture that implicitly learns the degradation kernel with the help of a novel loss component. The kernel is exploited by a learnable Wiener filter that performs efficient deconvolution in the Fourier domain by deriving a closed-form solution. Inspired by prompt-based learning, we also propose a novel degradation-conditioned prompt layer that exploits the estimated kernel to drive the focus on the discriminative contextual information that guides the reconstruction process in recovering the latent HR image. Extensive experiments under different degradation settings demonstrate that our model, named PL-IDENet, yields PSNR and SSIM improvements of more than 0.4dB and 1.3%, and 1.4dB and 4.8% to the best implicit and explicit blind-SR method, respectively. These results are achieved while maintaining a substantially lower number of parameters/FLOPs (i.e., 25% and 68% fewer parameters than best implicit and explicit methods, respectively).

Biological and Photocatalytic Activities of Silver Nanoparticles Synthesized from the Leaf Extract of Euphorbia royleana Boiss.

INTRODUCTION: Silver nanoparticles (AgNPs) have gained significance due to their practical use in the medicinal field, especially in the treatment of tumors and cancer. The current article explores a green synthetic method for the preparation of AgNPs using leaf extract of Euphorbia royleanas. METHODS: The synthesis was conducted at different parameters like concentration of AgNO3, pH, salt concentration, temperature and time to optimize best results for their biochemical applications. It was validated through UV-V spectroscopy (400-450 nm) with 1:3 (concentration ratio of leaf ethanolic extract and 1 mM AgNO3 solution) at a pH value of 8 at 35oC, which were the best optimization conditions. The FTIR spectral bands showed the presence of C-N and -OH functional groups, indicating that -OH stretching and the aliphatic -C-H stretching were involved in the reduction of Ag ions. The XRD pattern showed the face-centered cubic structure of silver nanoparticles. The results of SEM revealed that AgNPs were predominantly spherical in shape, mono-dispersed, and arranged in scattered form. EDX analysis testified the presence of metallic silver along with other elements like Cl, C, and O. RESULTS: The investigation of biochemical parameters showed that AgNPs were influential in the discoloration of dye wastewater (methylene blue ), where 80% of dye color was removed in 20 min, followed by the significant (p < 0.05) analgesic activity with an inhibition percentage of 86.45% at a dose of 500 mg/kg. CONCLUSION: Similarly, the antioxidant activity with the highest percent inhibition was 55.4% (p < 0.0001), shown by the AgNPs at 500 µg/mL. AgNPs showed a 30 mm zone of inhibition at 100 µl/mL against Aspergillus niger. It was concluded that AgNPs provide a baseline in medical technology for the treatment of simple to chronic diseases.

Enhancing security in smart healthcare systems: Using intelligent edge computing with a novel Salp Swarm Optimization and radial basis neural network algorithm.

A smart healthcare system (SHS) is a health service system that employs advanced technologies such as wearable devices, the Internet of Things (IoT), and mobile internet to dynamically access information and connect people and institutions related to healthcare, thereby actively managing and responding to medical ecosystem needs. Edge computing (EC) plays a significant role in SHS as it enables real-time data processing and analysis at the data source, which reduces latency and improves medical intervention speed. However, the integration of patient information, including electronic health records (EHRs), into the SHS framework induces security and privacy concerns. To address these issues, an intelligent EC framework was proposed in this study. The objective of this study is to accurately identify security threats and ensure secure data transmission in the SHS environment. The proposed EC framework leverages the effectiveness of Salp Swarm Optimization and Radial Basis Functional Neural Network (SS-RBFN) for enhancing security and data privacy. The proposed methodology commences with the collection of healthcare information, which is then pre-processed to ensure the consistency and quality of the database for further analysis. Subsequently, the SS-RBFN algorithm was trained using the pre-processed database to distinguish between normal and malicious data streams accurately, offering continuous monitoring in the SHS environment. Additionally, a Rivest-Shamir-Adelman (RSA) approach was applied to safeguard data against security threats during transmission to cloud storage. The proposed model was trained and validated using the IoT-based healthcare database available at Kaggle, and the experimental results demonstrated that it achieved 99.87 % accuracy, 99.76 % precision, 99.49 % f-measure, 98.99 % recall, 97.37 % throughput, and 1.2s latency. Furthermore, the results achieved by the proposed model were compared with the existing models to validate its effectiveness in enhancing security.

Symptomatic bradycardia associated with topical brimonidine gel (Mirvaso) administration: a case report.

Background: Bradycardia can have a number of different aetiologies, including as a side effect of medications. Brimonidine is a rare, but recognized, cause of bradycardia. Brimonidine is indicated in the treatment of facial erythema in rosacea when given as topical brimonidine gel (Mirvaso). It may also be administered as eye drops for raised intraocular pressure in open-angle glaucoma and ocular hypertension. Brimonidine is an alpha-2 agonist, which if systemically absorbed can present with bradycardia, hypotension, and dizziness. The authors are unaware of any other case reports regarding topical administration of Mirvaso in an adult and symptomatic bradycardia. Case summary: We present the case of a 78-year-old man with a background of rosacea, benign prostatic hyperplasia, and hypertension who had two separate admissions with symptomatic bradycardia. Electrocardiograms showed sinus bradycardia with AV block first degree, with rate recorded as low as 31 b.p.m. during a syncopal episode. These episodes of symptomatic bradycardia were intermittent and had a temporal association with topical administration of Mirvaso. He had no further episodes of bradycardia on discontinuation of Mirvaso and has remained symptom free for over 6 months. Discussion: The topical administration of Mirvaso should be avoided to broken or inflamed skin. This is owing to the increased risk of systemic absorption, which as in this case report, may present with bradycardia. This case reiterates the importance of completing a full medication history including all topical and parenteral medications in patients with arrhythmia.

A grid-forming approach utilizing DC bus dynamics for low inertia power systems with HVDC applications.

While power electronic converters, such as voltage source converters (VSCs), are crucial for the operation of converter-dominated renewables and their integration with the electricity grid, their reliance on VSCs can pose a challenge. The limited inertia of these sources can lead to a deterioration of the rate of change of frequency, potentially causing power system stability issues. A grid-forming approach utilizing dc-link dynamics is one of the attractive alternatives to achieve grid synchronization and support grid frequency. Existing grid-forming control schemes, which assume a constant or virtually constant dc source, rely on a fixed physical dc-link capacitor. Nonetheless, the inertia support from such a capacitor is brief, owing to its limited energy storage capability. Consequently, enhancing inertia becomes imperative; otherwise, it may result in an increased rate of change of voltage on the dc side, potentially leading to issues with protection, undesirable interactions, and system instability. This paper proposes a new grid-forming control strategy that considers a virtual capacitor to achieve grid synchronization while simultaneously providing the network with inertia response services during power imbalances. Moreover, including a virtual resistor in the controller effectively attenuates power and dc voltage oscillations. Simulations using Simulink and small signal stability analysis are conducted to validate the efficacy of the proposed controller.

Complete mitochondrial genomes of edible mushrooms: features, evolution, and phylogeny.

Edible mushrooms are an important food source with high nutritional and medicinal value. They are a useful source for studying phylogenetic evolution and species divergence. The exploration of the evolutionary relationships among these species conventionally involves analyzing sequence variations within their complete mitochondrial genomes, which range from 31,854 bp (Cordyceps militaris) to 197,486 bp (Grifolia frondosa). The study of the complete mitochondrial genomes of edible mushrooms has emerged as a critical field of research, providing important insights into fungal genetic makeup, evolution, and phylogenetic relationships. This review explores the mitochondrial genome structures of various edible mushroom species, highlighting their unique features and evolutionary adaptations. By analyzing these genomes, robust phylogenetic frameworks are constructed to elucidate mushrooms lineage relationships. Furthermore, the exploration of different variations of mitochondrial DNA presents novel opportunities for enhancing mushroom cultivation biotechnology and medicinal applications. The mitochondrial genomic features are essential for improving agricultural practices and ensuring food security through improved crop productivity, disease resistance, and nutritional qualities. The current knowledge about the mitochondrial genomes of edible mushrooms is summarized in this review, emphasising their significance in both scientific research and practical applications in bioinformatics and medicine.