Browse publications by year: 2025

  1. Patel MS, Kumar S, Patel B, Patel SN, Girdhar GA, Patadiya HH, et al.
    Cureus, 2025 Mar;17(3):e81162.
    PMID: 40134460 DOI: 10.7759/cureus.81162
    Artificial intelligence (AI) is changing each of the healthcare fields, including periodontology, through the improvement of every diagnosis, treatment plan, and the handling of all patients. AI-driven technologies such as machine learning, deep learning, and computer vision are incorporated into radiographic analysis, automated disease detection, and prognosis prediction. These improvements effectively enable the early detection of periodontal diseases and efficient classification of disease severity. In addition, they allow for specially personalized treatment approaches. AI makes automated periodontal charting, virtual patient monitoring, and decision support systems easier, which improve clinical outcomes and patient care. Despite its immense potential, many substantial difficulties remain, such as data privacy, algorithm reliability, and the meaningful need for clinical validation. This review indicates the revolutionary function of AI in many current dental works and explores all present uses, advantages, limits, and possibilities in periodontology.
  2. Ayasrah M, Al Hrout RA, Rawahneh K
    Risk Manag Healthc Policy, 2025;18:933-945.
    PMID: 40134522 DOI: 10.2147/RMHP.S507002
    BACKGROUND: High-quality diagnostic imaging is critical to patient safety and effective healthcare. This study assesses the quality of plain chest X-rays (CXR) for expatriates in Jordan, with a focus on complying to American College of Radiology (ACR) and European Commission (EC) criteria at 12 healthcare facilities.

    METHODS: A retrospective cross-sectional evaluation of 1020 CXR radiographs from 2023 was performed. A quantitative classification approach was used to assess CXR for ACR and EC compliance, which included exposure, anatomical visibility, organ superimposition, and image annotation.

    RESULTS: Only 15% of CXRs passed all of the quality standards. While exposure and anatomical visualization demonstrated adequate compliance, organ superimposition and image annotation were much lower, at 23% and 29%, respectively, revealing gaps that may impact diagnostic accuracy and patient safety.

    CONCLUSION: Significant discrepancies in CXR quality highlight the need for enhanced training, rigorous adherence to imaging protocols, and robust quality control to improve diagnosis accuracy and patient outcomes, especially in expatriate screening programs.

  3. Sofi MA, Sofi MA, Nanda A, Nayak BK, Othman Z, Sadikan MZ
    Scientifica (Cairo), 2025;2025:5100547.
    PMID: 40134767 DOI: 10.1155/sci5/5100547
    Medicinal plants have been used for centuries as therapeutic compounds to address various health issues. Their rich phytochemical composition offers diverse bioactive substances with potential health benefits. This study aimed to explore the therapeutic potential of Podophyllum hexandrum root extract by investigating its chemical composition and antimicrobial, antioxidant, and anticancer properties. The phytochemical profiling of P. hexandrum root was conducted using GC-MS analysis, which identified 26 compounds in the extract. The ethanolic root extract displayed strong inhibitory effects in the well diffusion assay against all tested microbes, with minimum inhibitory concentration (MIC) values ranging from 64 to 256 μg/mL. Candida albicans exhibited the lowest MIC value of 64 μg/mL. The antioxidant activity of the extracts was compared to standard antioxidant, revealing a dose-dependent response with a notable radical scavenging activity of 59.23% at 100 μg/mL. Furthermore, the extract demonstrated strong cytotoxic effects against the human cancer cell line HT-29, with IC50 values of 38.20 and 32.5 μg/mL for 24 and 48 h. Overall, this study emphasizes the remarkable antibacterial, antioxidant, and anticancer properties of P. hexandrum root extract.
  4. Saleem Z, Moore CE, Kalungia AC, Schellack N, Ogunleye O, Chigome A, et al.
    JAC Antimicrob Resist, 2025 Apr;7(2):dlaf033.
    PMID: 40134815 DOI: 10.1093/jacamr/dlaf033
    BACKGROUND: There are concerns globally with rising rates of antimicrobial resistance (AMR), particularly in low- and middle-income countries (LMICs). AMR is driven by high rates of inappropriate prescribing and dispensing of antibiotics, particularly Watch antibiotics. To develop future interventions, it is important to document current knowledge, attitudes and practices (KAP) among key stakeholder groups in LMICs.

    METHODS: We undertook a narrative review of published papers among four WHO Regions including African and Asian countries. Relevant papers were sourced from 2018 to 2024 and synthesized by key stakeholder group, country, WHO Region, income level and year. The findings were summarized to identify pertinent future activities for all key stakeholder groups.

    RESULTS: We sourced 459 papers, with a large number coming from Africa (42.7%). An appreciable number dealt with patients' KAP (33.1%), reflecting their influence on the prescribing and dispensing of antibiotics. There was marked consistency of findings among key stakeholder groups across the four WHO Regions, all showing concerns with high rates of prescribing of antibiotics for viral infections despite professed knowledge of antibiotics and AMR. There were similar issues among dispensers. Patients' beliefs regarding the effectiveness of antibiotics for self-limiting infectious diseases were a major challenge, although educational programmes did improve knowledge. The development of the AWaRe (Access, Watch and Reserve) system, including practical prescribing guidance, provides a future opportunity for the standardization of educational inputs.

    CONCLUSIONS: Similar KAP regarding the prescribing and dispensing of antibiotics across LMICs and stakeholder groups presents clear opportunities for standardization of educational input and practical training programmes based on the AWaRe system.

  5. Saeed NK, Almusawi SK, Albalooshi NA, Al-Beltagi M
    World J Virol, 2025 Mar 25;14(1):100501.
    PMID: 40134836 DOI: 10.5501/wjv.v14.i1.100501
    BACKGROUND: Antibiotic resistance is a growing global health threat, and understanding local trends in bacterial isolates and their susceptibility patterns is crucial for effective infection control and antimicrobial stewardship. The coronavirus disease 2019 (COVID-19) pandemic has introduced additional complexities, potentially influencing these patterns.

    AIM: To analyze trends in bacterial isolates and their antibiotic susceptibility patterns at Salmaniya Medical Complex from 2018 to 2023, with a specific focus on the impact of the COVID-19 pandemic on these trends.

    METHODS: A retrospective analysis of microbiological data was conducted, covering the period from 2018 to 2023. The study included key bacterial pathogens such as Escherichia coli (E. coli), Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Staphylococcus aureus, among others. The antibiotic susceptibility profiles of these isolates were assessed using standard laboratory methods. To contextualize the findings, the findings were compared with similar studies from other regions, including China, India, Romania, Saudi Arabia, the United Arab Emirates, Malaysia, and United States.

    RESULTS: The study revealed fluctuating trends in the prevalence of bacterial isolates, with notable changes during the COVID-19 pandemic. For example, a significant increase in the prevalence of Staphylococcus aureus was observed during the pandemic years, while the prevalence of E. coli showed a more variable pattern. Antibiotic resistance rates varied among the different pathogens, with a concerning rise in resistance to commonly used antibiotics, particularly among Klebsiella pneumoniae and E. coli. Additionally, the study identified an alarming increase in the prevalence of multidrug-resistant (MDR) strains, especially within Klebsiella pneumoniae and E. coli isolates. The impact of the COVID-19 pandemic on these trends was evident, with shifts in the frequency, resistance patterns, and the emergence of MDR bacteria among several key pathogens.

    CONCLUSION: This study highlights the dynamic nature of bacterial isolates and their antibiotic susceptibility patterns at Salmaniya Medical Complex, particularly in the context of the COVID-19 pandemic. The findings underscore the need for continuous monitoring and effective anti-microbial stewardship programs to combat the evolving threat of antibiotic resistance. Further research and policy initiatives are required to address the identified challenges and improve patient outcomes in the face of these ongoing challenges.

  6. Abdhood SF, Omar N, Tiun S
    PeerJ Comput Sci, 2025;11:e2685.
    PMID: 40134861 DOI: 10.7717/peerj-cs.2685
    The effectiveness of data augmentation techniques, i.e., methods for artificially creating new data, has been demonstrated in many domains, from images to textual data. Data augmentation methods were established to manage different issues regarding the scarcity of training datasets or the class imbalance to enhance the performance of classifiers. This review article investigates data augmentation techniques for Arabic texts, specifically in the text classification field. A thorough review was conducted to give a concise and comprehensive understanding of these approaches in the context of Arabic classification. The focus of this article is on Arabic studies published from 2019 to 2024 about data augmentation in Arabic text classification. Inclusion and exclusion criteria were applied to ensure a comprehensive vision of these techniques in Arabic natural language processing (ANLP). It was found that data augmentation research for Arabic text classification dominates sentiment analysis and propaganda detection, with initial studies emerging in 2019; very few studies have investigated other domains like sarcasm detection or text categorization. We also observed the lack of benchmark datasets for performing the tasks. Most studies have focused on short texts, such as Twitter data or reviews, while research on long texts still needs to be explored. Additionally, various data augmentation methods still need to be examined for long texts to determine if techniques effective for short texts are also applicable to longer texts. A rigorous investigation and comparison of the most effective strategies is required due to the unique characteristics of the Arabic language. By doing so, we can better understand the processes involved in Arabic text classification and hence be able to select the most suitable data augmentation methods for specific tasks. This review contributes valuable insights into Arabic NLP and enriches the existing body of knowledge.
  7. Sunusi Y, Omar N, Zakaria LQ
    PeerJ Comput Sci, 2025;11:e2667.
    PMID: 40134863 DOI: 10.7717/peerj-cs.2667
    Recent advancements in abstractive summarization models, particularly those built on encoder-decoder architectures, typically produce a single summary for each source text. Controlling the length of summaries is crucial for practical applications, such as crafting cover summaries for newspapers or magazines with varying slot sizes. Current research in length-controllable abstractive summarization employs techniques like length embeddings in the decoder module or a word-level extractive module in the encoder-decoder model. However, these approaches, while effective in determining when to halt decoding, fall short in selecting relevant information to include within the specified length constraint. This article diverges from prior models reliant on predefined lengths. Instead, it introduces a novel approach to length-controllable abstractive summarization by integrating an image processing phase. This phase determines the specific size of the summary output slot. The proposed model harnesses enhanced T5 and GPT models, seamlessly adapting summaries to designated slots. The computed area of a given slot is employed in both models to generate abstractive summaries tailored to fit the output slot perfectly. Experimental evaluations on the CNN/Daily Mail dataset demonstrate the model's success in performing length-controlled summarization, yielding superior results.
  8. Albtoush ES, Gan KH, Alrababa SAA
    PeerJ Comput Sci, 2025;11:e2693.
    PMID: 40134874 DOI: 10.7717/peerj-cs.2693
    The proliferation of fake news has become a significant threat, influencing individuals, institutions, and societies at large. This issue has been exacerbated by the pervasive integration of social media into daily life, directly shaping opinions, trends, and even the economies of nations. Social media platforms have struggled to mitigate the effects of fake news, relying primarily on traditional methods based on human expertise and knowledge. Consequently, machine learning (ML) and deep learning (DL) techniques now play a critical role in distinguishing fake news, necessitating their extensive deployment to counter the rapid spread of misinformation across all languages, particularly Arabic. Detecting fake news in Arabic presents unique challenges, including complex grammar, diverse dialects, and the scarcity of annotated datasets, along with a lack of research in the field of fake news detection compared to English. This study provides a comprehensive review of fake news, examining its types, domains, characteristics, life cycle, and detection approaches. It further explores recent advancements in research leveraging ML, DL, and transformer-based techniques for fake news detection, with a special attention to Arabic. The research delves into Arabic-specific pre-processing techniques, methodologies tailored for fake news detection in the language, and the datasets employed in these studies. Additionally, it outlines future research directions aimed at developing more effective and robust strategies to address the challenge of fake news detection in Arabic content.
  9. Yan M, Tang C, Yan J, Surip SS
    PeerJ Comput Sci, 2025;11:e2732.
    PMID: 40134891 DOI: 10.7717/peerj-cs.2732
    Pattern design is essential in various domains, especially in traditional lantern production, where patterns convey cultural history and artistic values. Our research presents an innovative generative model that produces customizable lantern patterns, integrating classical aesthetics with modern design features via a generative adversarial network (GAN)-based framework. The model was trained on an extensive dataset of over 17,000 pattern images over ten various categories. Experimental assessment demonstrates the model's remarkable proficiency, achieving an Inception Score of 5.259, much surpassing the performance of other GAN-based approaches. This exceptional result demonstrates the effective integration of traditional pattern elements with AI-driven design processes. The model offers enhanced design flexibility via noise vector hybridization and post-processing techniques, allowing for accurate control over pattern production while preserving cultural authenticity. These capabilities make our model a valuable tool for modernizing lantern pattern design while maintaining classic artistic elements.
  10. Suhaimi AN, Roop Kishore YA, Shalihin MSE, Hamzah HA, Abidin S, Mohammad Aidid E, et al.
    Cureus, 2025 Feb;17(2):e79522.
    PMID: 40135017 DOI: 10.7759/cureus.79522
    BACKGROUND: Porphyromonas gingivalis is one of the important pathogens in the initiation and progression of periodontitis. The findings regarding the bacterium and periodontal status in geriatric subjects are not widely reported. Bacterial analysis is needed to provide more insight regarding the severity of the disease. This study evaluated the presence of P. gingivalis in the oral cavity of geriatric patients and found a significant association between P. gingivalis infection and medical illness.

    METHODS: Periodontal pocket samples were obtained from 32 geriatrics who were chosen randomly from health clinics. Clinical periodontal parameters were recorded during the oral examination. Samples were subjected to DNA extraction and polymerase chain reaction (PCR) amplification. The identification of P. gingivalis by PCR assay was determined based on the P. gingivalis 16S rRNA subunit amplification. Medical illnesses of patients were recorded. Mild cognitive impairment was diagnosed according to cognitive score assessment and daily function.

    RESULTS: Approximately 90.63% (n=29) of geriatric patients had periodontitis. The presence of P. gingivalis was significantly associated with periodontal depth and clinical attachment loss (p = 0.037). The extension of periodontal disease, cognitive impairment status, and diabetes status are highly associated with P. gingivalis. Conclusion: Due to asymptomatic periodontal disease in the early phase, early screening of bacterial detection and oral public health awareness is crucial, especially among elderly groups who are smokers and diabetics. P. gingivalis infection is associated with worsening geriatric periodontitis. Adequate oral care and comorbidity control among geriatrics are indeed crucial to preventing disease progression. It is important to improve and modify the local diabetic checklist protocol for geriatric diabetic patients by incorporating oral health and oral microbiome assessments, as well as cognitive assessments.

  11. Ying Y, Yahya N, Abdul Manan H
    Cureus, 2025 Feb;17(2):e79470.
    PMID: 40135019 DOI: 10.7759/cureus.79470
    INTRODUCTION:  Accurate preoperative differentiation between intracranial solitary fibrous tumor (SFT, World Health Organization grade II) and angiomatous meningioma (AM) is crucial for surgical planning and prognosis prediction. While conventional magnetic resonance imaging (MRI) is widely used, distinguishing these tumors based on imaging alone remains challenging. This study aimed to evaluate clinical and MRI features to improve diagnostic accuracy between SFT and AM, focusing on the apparent diffusion coefficient (ADC) and conventional MRI parameters.

    METHODS:  A retrospective analysis was conducted on 51 patients (23 with SFT and 28 with AM) confirmed by pathology. Clinical and MRI characteristics were assessed using t-tests and chi-square tests. Logistic regression analysis was performed to identify independent predictors, and receiver operating characteristic (ROC) curve analysis evaluated diagnostic performance. A nomogram integrating ADC values with conventional MRI features was developed and validated using calibration curves.

    RESULTS:  Significant differences in tumor shape, cystic necrosis, T1-weighted imaging and T2-weighted imaging signal intensities, and ADC values were observed between SFT and AM (p < 0.05). Logistic regression analysis confirmed these factors as independent predictors, with ADC demonstrating the highest diagnostic performance at an optimal cutoff value of 1.08 × 10-³ mm²/second. The ROC analysis showed that combining ADC with conventional MRI features improved diagnostic accuracy. The calibration curve demonstrated strong agreement between nomogram predictions and actual outcomes.

    CONCLUSION:  Integrating ADC values with clinical and MRI features provides a reliable method for differentiating intracranial SFT from AM. This approach enhances diagnostic precision, aiding in optimized clinical decision-making and surgical planning.

  12. Zhang YY, Vimala R, Chui PL, Hilmi IN
    Aliment Pharmacol Ther, 2025 May;61(9):1447-1457.
    PMID: 40135364 DOI: 10.1111/apt.70103
    BACKGROUND: Older patients with constipation are at an increased risk of inadequate bowel preparation.

    AIM: To assess the effectiveness of an abdominal vibration combined with walking exercise (AVCWE) programme compared to walking exercise (WE) and standard preparation regimens for bowel preparation in older patients with constipation.

    METHODS: This three-arm randomised controlled trial involved 271 older patients with constipation scheduled for colonoscopy. Patients assigned to the AVCWE group were asked to walk independently for at least 5500 steps and received two cycles of moderate-intensity abdominal vibrations. Patients in the WE group were required to walk independently for at least 5500 steps, whereas patients in the control group received only the standard regimen. The primary outcome was the rate of adequate bowel preparation, defined as a total score of ≥ 6 on the Boston Bowel Preparation Scale.

    RESULTS: The rate of adequate bowel preparation in the AVCWE group (92.2%) was significantly higher than in the WE group (78.9%) and the control group (60.4%) (p 

    MeSH terms: Aged; Aged, 80 and over; Cathartics; Female; Humans; Male; Middle Aged; Treatment Outcome; Patient Satisfaction
  13. Jum'Ah D, Binsaleh AY, Shilbayeh SA, Halboup A, Abu-Farha R
    Afr J Reprod Health, 2025 Mar 25;29(3):115-124.
    PMID: 40135411 DOI: 10.29063/ajrh2025/v29i3.14
    This exploratory qualitative study examines the awareness, perceptions, and roles of Jordanian community pharmacists in providing emergency contraception. Twenty semi-structured interviews were conducted with pharmacists from two major governorates, exploring their counseling practices, knowledge of emergency contraceptives, product differences, concerns, and views on patient requests. Findings show that pharmacists' decisions are influenced by societal stigma, legal constraints, and personal beliefs, with market trends also affecting dispensing practices. The gap was evident in how pharmacists were short on knowing the variety of different types and approaches to emergency contraception. Patient initiative in seeking information significantly mattered and influenced how pharmacists responded to such situations. Also, they reported ethical dilemmas when they handled these medications. Pharmacies in Jordan are so intertwined with community, where people sought to seek pharmacists' help in almost every occasion, proving ever strongly how it makes a difference whether the space is safe and supportive or not, especially for reproductive health issues. Our study highlighted where do we fall short and the need to design programs that fill the gaps in knowledge, perception, and practice. Cette étude qualitative exploratoire examine la sensibilisation, les perceptions et les rôles des pharmaciens communautaires jordaniens dans la fourniture de contraception d'urgence. Vingt entretiens semi-structurés ont été menés avec des pharmaciens de deux gouvernorats majeurs, explorant leurs pratiques de conseil, leurs connaissances des contraceptifs d'urgence, les différences entre les produits, leurs préoccupations et leurs points de vue sur les demandes des patients. Les résultats montrent que les décisions des pharmaciens sont influencées par la stigmatisation sociétale, les contraintes juridiques et les convictions personnelles, les tendances du marché affectant également les pratiques de délivrance. L’écart était évident dans la mesure où les pharmaciens ne connaissaient pas la variété des différents types et approches de contraception d’urgence. L’initiative des patients dans la recherche d’informations était importante et influençait la manière dont les pharmaciens réagissaient à de telles situations. En outre, ils ont signalé des dilemmes éthiques lorsqu’ils manipulaient ces médicaments. Les pharmacies en Jordanie sont tellement liées à la communauté que les gens ont cherché à demander l'aide d'un pharmacien presque à chaque occasion, prouvant ainsi à quel point il est important que l'espace soit sûr et favorable ou non, en particulier pour les problèmes de santé reproductive. Notre étude a mis en évidence nos lacunes et la nécessité de concevoir des programmes qui comblent les lacunes en matière de connaissances, de perception et de pratique.
    MeSH terms: Adult; Attitude of Health Personnel; Community Pharmacy Services*; Contraceptives, Postcoital*; Female; Humans; Interviews as Topic; Jordan; Health Knowledge, Attitudes, Practice*; Male; Middle Aged; Perception; Pharmacies; Professional Role; Qualitative Research*; Contraception, Postcoital*
  14. Jain M, Patil N, Mohammed A, Hamzah Z
    J Food Sci, 2025 Mar;90(3):e70152.
    PMID: 40135462 DOI: 10.1111/1750-3841.70152
    A multifunctional crop, garlic (Allium sativum L.) belongs to Amaryllidaceae family. It is of high medicinal, nutraceutical, and culinary importance. Its products, including essential oil, aged garlic extract, aged black garlic, and garlic powder, are a potential storehouse of organosulfur compounds, flavonoids, and saponins with diverse biological properties, which include antioxidant, anti-inflammatory, antimicrobial, and cardio-protective properties. These developments recently drew in significant therapeutic powers through a better control mechanism in chronic diseases, including cancer, cardiovascular, neurodegenerative conditions, and hypertension. The processing of garlic byproducts usually increases their efficacy through the improvement of bioavailability and reducibility of undesirable characteristics such as odor. More so, supercritical fluid extraction and ultrasound-assisted methods have improved isolation yields of bioactive compounds with stronger stability. This review puts emphasis on the biochemical composition and biological properties of garlic byproducts, underlining their use as sustainable and effective natural medicine sources. The findings have placed an emphasis on the use of garlic byproducts in functional foods and pharmaceutical preparations to deal with global health challenges. Future research should be aimed at eliciting information on pharmacokinetics, safety, and long-term efficacy of these byproducts from garlic in order to fully appraise them in the clinical field.
    MeSH terms: Anti-Infective Agents/pharmacology; Anti-Inflammatory Agents/pharmacology; Biological Availability; Flavonoids/pharmacology; Flavonoids/chemistry; Humans; Oils, Volatile/pharmacology; Oils, Volatile/chemistry; Saponins/pharmacology; Saponins/chemistry
  15. Zulkifli A, Kong P, Hrk S, Yasin NF, Nam HY, Kamarul T
    Biotech Histochem, 2025 Mar 26.
    PMID: 40135543 DOI: 10.1080/10520295.2025.2482934
    Tendon injuries remains a challenge to treat owing to its poor intrinsic reparative ability. It is hypothesised that hypoxic conditioning of mesenchymal stem cells (MSC) through the activation of hypoxia-inducible factor-1 alpha (HIF-1α), may enhance tendon repair process by promoting cellular proliferation and tenogenic differentiation. To demonstrate this, a study using roxadustat, a specific hypoxia mimetic mediator and HIF-1α inducer was conducted on adipose-derived mesenchymal stromal cells (AD-MSCs). Cellular morphology, proliferation rates, tenogenic protein and gene expression levels in untreated AD-MSCs (Group 1), roxadustat pre-conditioned AD-MSCs (Group 2), AD-MSCs subjected to CAY10585 (Group 3), roxadustat pre-conditioned AD-MSCs with CAY10585 (Group 4) and untreated primary tenocytes (Group 5) were evaluated. MSCs pre-conditioned with 12.5µM roxadustat for 24 hours showed the highest expression of HIF-1α without affecting the proliferation rates of AD-MSCs. However, significant reduction of HIF-1α levels was observed when the cells were treated with 3.5µM CAY10585. Roxadustat significantly up-regulated collagen I and III expressions by 6.6 and 6.3-fold respectively. HIF-1α promoted Scleraxis, Tenascin-C and Collagen III expressions, resulting in an increase of 6, 7, and 3 folds respectively. Conversely, using CAY10585 reduced these expressions to 3, 2 and 1 folds respectively. These trends were observed in the gene expression levels across Groups 1 to 4. However, the expression of these genes in Group 2 was significantly lower as compared to Group 5. Conclusion: HIF-1α accumulation promotes superior cell proliferation and tenogenic differentiation of AD-MSCs, indicating that roxadustat may be a potential therapeutic mediator in tendon repair strategies.
  16. Yee PS, Chai AWY, Yee SM, Ooi S, Tan YH, Garnett MJ, et al.
    Mol Carcinog, 2025 Mar 26.
    PMID: 40135601 DOI: 10.1002/mc.23910
    We identified ADAR1 as one of the top essential genes for oral squamous cell carcinoma (OSCC) survival from our genome-wide CRISPR/Cas9 screen in OSCC cell lines. In this study, we confirm that ADAR1-knockout (KO) inhibits cell viability and colony forming ability, and induces apoptosis. We report that IFN-β treatment sensitizes less-dependent cell lines to ADAR1 KO-induced cell lethality. Overexpression of ADAR1-p150, but not ADAR1-p110, rescued cell lethality upon ADAR1 KO, confirming that the IFN-inducible p150 is responsible for OSCC survival. Using a deaminase inactive mutant, we demonstrate that the editing function of ADAR1 is important for OSCC survival. Furthermore, we show that ADAR1 KO-induced cell death is mediated by both PKR and MDA5. We compute gene signatures of ADAR1 dependency in OSCC tumors, and found that those with high ADAR1 dependency score are associated with well or moderate differentiation, likely due to high PKR expression or activation. While a majority of ADAR1-dependent tumors exhibit a low T cell-inflamed gene expression profile, ADAR1 KO upregulates PD-L1, a marker of anti-PD1 response, indicating that ADAR1 inhibition may enhance immunotherapy response in OSCC. Collectively, these findings suggest that targeting ADAR1-p150 not only induces OSCC cell death but could induce a favorable response to anti-PD1.
  17. Saxena P, Samanta D, Thakur P, Goh KM, Subramaniam M, Peyton BM, et al.
    PMID: 40135858 DOI: 10.1128/aem.02565-24
    Sulfate-reducing bacteria (SRB) exhibit versatile metabolic adaptability with significant flexibility influenced by pH fluctuations, which play a critical role in biogeochemical cycles. In this study, we used a model SRB, Oleidesulfovibrio alaskensis G20, to determine the temporal effects of pH variations (pH 6, 7, and 8) on both growth dynamics and metabolic gene expressions. The specific growth rate at pH 6 (0.014 h-1) closely matched that at pH 7 (0.016 h-1), while pH 8 exhibited a lower growth rate (0.010 h-1). Lactate consumption peaked at pH 7 (0.35 mM lactate.h-1) and declined at pH 8 (0.09 mM lactate.h-1). Significant hydrogen production was evident under both acidic and alkaline conditions. Gene expression studies revealed that ATPases function as proton pumps, while hydrogenases mediate reversible proton-to-hydrogen conversion. Sulfate and energy metabolism act as electron acceptors and donors, while amino acid synthesis regulates basic and acidic amino acids to mitigate pH stress. Downregulation of FtsZ at pH 6 suggests impaired division, correlating with slightly longer lengths (~2 µm), while upregulation of divisome proteins at pH 8 suggests efficient division processes, aligning with shorter lengths (~1.8 µm). This study will facilitate the employment of O. alaskensis G20 in extreme pH environments, enhancing its effectiveness in optimizing bioremediation and anaerobic digestion processes.

    IMPORTANCE: Sulfate-reducing bacteria (SRB) play essential roles in global sulfur and carbon cycling and are critical for bioremediation and anaerobic digestion processes. However, detailed studies on the genotypic and phenotypic responses of SRB under varying pH conditions are limited. This study addresses this gap by examining the pH-dependent genetic and metabolic adaptations of Oleidesulfovibrio alaskensis G20, revealing key mechanisms regulating hydrogenase and ATPase activities, cell division, and extracellular polymeric substance formation. These findings provide new insights into how SRB maintains pH homeostasis, showcasing their ability to survive and function in both acidic and alkaline environments. Furthermore, this study reveals critical genetic and phenotypic characteristics that will directly aid to engineer industrial effluent management systems, bioremediation, and dissolved heavy metal recovery. By elucidating the dynamic response of O. alaskensis G20 to varied pH environments, the research provides a foundation for enhancing the resilience and performance of SRB-based systems, paving the way for improved environmental and industrial applications.

  18. Nimnuan-Ngam S, Hii SYF, Seng R, Saiprom N, Tandhavanant S, West TE, et al.
    Microbiol Spectr, 2025 Mar 26.
    PMID: 40135925 DOI: 10.1128/spectrum.01936-24
    Burkholderia pseudomallei, an environmental bacterium, is the causative agent of melioidosis, a potentially fatal infectious disease predominantly found in tropical regions. Despite the bacterium's intrinsic resistance to numerous antibiotics, the antibiotic resistance mechanisms remain poorly understood. Recently, we identified novel partial deletions in the amrR gene of meropenem less-susceptible (MEM-LS) isolates (DR10212A, DR90049A, and DR90031E) obtained from patients with melioidosis. In this study, we performed mutagenesis and quantitative reverse-transcription real-time polymerase chain reaction (RT-qPCR) to validate the roles of these partial deletions in the amrR gene in MEM-LS isolates. By introducing wild-type amrR fragments from strain K96243 into three parental MEM-LS isolates, we successfully constructed three complemented mutant strains (DR10212A∷K96243-amrR, DR90049A∷K96243-amrR, and DR90031E∷K96243-amrR), which exhibited significantly decreased MEM minimum inhibitory concentrations (MIC) compared with their parental strains. Consistent with the decreased MIC, the expression levels of AmrAB-OprA efflux pump genes (oprA, amrB, and amrA) in the complemented mutant strains were downregulated at least 5-fold compared with the parental isolates, indicating the significant role of the partial amrR gene deletions in MEM-LS. Our findings provide more understanding of the MEM resistance mechanisms of clinical isolates of B. pseudomallei, thereby enhancing future strategies for the treatment and management of melioidosis.IMPORTANCEAntibiotic resistance of B. pseudomallei poses a significant threat to patients with melioidosis because it interferes with the recovery process and is associated with high mortality. This study reported that three new mutations involving efflux pumps in amrR (H92_S154del, V197del, and A202_R207del) confer resistance to MEM. These mutations were previously detected using whole genome sequencing (WGS) analysis of MEM-LS isolates from melioidosis patients in northeast Thailand. The data from this study provide more understanding of common mechanisms of drug resistance in B. pseudomallei. This information is essential for the development of more effective drugs for melioidosis treatment in the future.
  19. Mehri F, Heidarinejad Z, Pilevar Z, Fakhri Y, Sarafraz M, Mousavi Khaneghah A
    Biol Trace Elem Res, 2025 Mar 26.
    PMID: 40140168 DOI: 10.1007/s12011-025-04593-2
    This study investigated the concentration of potentially toxic elements (PTEs) in bird eggs and assessed consumer health risks using the Monte Carlo Simulation (MCS) model. We searched several databases, including Scopus, Web of Science, Science Direct, Embase, and PubMed, covering the period from January 1, 2000, to October 10, 2024. Our analysis included 58 papers and 82 data reports. The ranking of PTEs in the eggs based on pooled concentration was as follows: Nickel (Ni) at 0.935 mg/kg, Lead (Pb) at 0.305 mg/kg, Arsenic (As) at 0.048 mg/kg, Cadmium (Cd) at 0.026 mg/kg, and Mercury (Hg) at 0.007 mg/kg. The countries with the highest hazard quotient (HQ) due to Pb were Palestine, Saudi Arabia, and Australia. For Cd, the highest HQs were found in the USA, Turkey, and Pakistan; Hg, Colombia, Romania, and Thailand; As, Malaysia, Belgium, and Germany; and Ni, Saudi Arabia, Turkey, and the USA. Regarding cancer risk (CR), the countries with the highest values for As were Malaysia, Belgium, and Germany. The ranking of PTEs according to the percentage of studies with an HQ greater than 1 for adult consumers was as follows: Hg (8%), Pb (4%), and Ni and As showed values of 0%, while Cd also recorded 0%. For children, the ranking was As (18%), Hg (17%), Pb (4%), and again, both Ni and Cd showed 0%. The percentage of studies indicating a CR greater than 1E-4 for adults due to inorganic arsenic (iAs) was 24%, while for children, it was 35%. Given the high risk of carcinogenesis associated with As, it is recommended that effective measures be taken to minimize the sources of iAs in eggs.
  20. Al-Anber MA, Almazaydeh H, Al-Momani IF, Sagadevan S, Mousa MS, Sobola D, et al.
    PMID: 40140206 DOI: 10.1007/s11356-025-36259-w
    Uranium pollution in water systems, particularly in areas affected by mining and industrial activity, poses serious environmental and public health hazards. Conventional methods of extracting uranium from aqueous solutions are frequently expensive and energy-intensive and can produce secondary waste. As a result, sustainable, low-cost uranium removal methods, such as biosorption with natural materials, have gained popularity. This study effectively explored the capturing behavior of uranium ions U(VI) onto date palm seed biomass (DPSB) under various experimental settings, emphasizing temperature, pH, and starting concentration. The study found that temperature significantly impacted sorption efficiency, which increased from 70% at 25 °C to 76% at 55 °C, indicating an endothermic process. The equilibrium period decreases considerably with temperature, from 90 min at 25 °C to 60 min at 55 °C, indicating quicker kinetics at higher temperatures. The pseudo-second-order kinetic model fit the data well across all temperature settings (R2 > 0.99), with a maximum sorption rate constant (k2 = 0.148522) seen at 45 °C, followed by a minor drop. pH has a substantial impact on uranium ion U(VI) sorption, with the highest efficiency recorded at pH = 7 (72%). The pseudo-second-order model's accuracy is proven by strong correlation coefficients (R2 > 0.99) at all pH values, with the greatest match at pH = 5 and 11. Initial concentration experiments showed that increasing the U(VI) concentration increased sorption performance. The pseudo-second-order kinetic model revealed important insights into the sorption mechanisms, demonstrating that chemisorption was the rate-limiting step. At a concentration of 10 mg L-1, the rate constant k2 was 0.089751 g mg-1 min-1 at pH = 5, and the equilibrium sorption capacity qe cal = 3.527337 mg g-1 was consistent with the actual result (qe exp = 3.5 mg g-1), validating the model's trustworthiness. Lower concentrations are better suited for the Langmuir model (R2 = 0.9995), indicating monolayer adsorption with moderate binding strength (b = 1). The Freundlich model (R2 = 0.9981) was more suitable for larger concentrations because of the heterogeneous biomass surface. However, its negative 1/n value showed limitations under the specified conditions. The findings of this research provide a sustainable and environmentally friendly solution to mitigate uranium contamination.
External Links