Addressing low-value care (LVC) in Asia: a narrative review of Choosing Wisely and other initiatives across Asia Jia Xuan Yeo, Yasuharu Tokuda, Shu Sasaki, Jay Pan, Hanin Kamaruzaman, Priya Ranganathan, Liyong Lu, Aliza Mohamad Yusof, Azarinah Izaham, C S Pramesh, Hairil Rizal Abdullah BMJ Open Quality.2026; 15(2): e003806. CrossRef
Objectives This review and meta-analysis examined the effectiveness of non-pharmacological therapies delivered through school-based interventions for smoking cessation among adolescents in South and Southeast Asian countries.
Methods A systematic search was conducted across PubMed, Scopus, Science Direct, BioMed Central, the Cochrane Library, and ProQuest Dissertations & Theses Global from inception to October 2024. Eligible studies comprised randomized controlled trials and quasi-experimental studies that compared non-pharmacological smoking cessation interventions delivered in schools or other educational institutions. Data on smoking abstinence outcomes were extracted from published studies, and odds ratios (ORs) with 95% confidence intervals (CIs) were pooled using a random-effects model via the Mantel-Haenszel estimator.
Results Seven studies involving 1,260 participants were included. The meta-analysis demonstrated that non-pharmacological school-based therapies significantly increased smoking abstinence compared to controls (OR, 2.83; 95% CI, 1.83–4.40; p<0.001. Subgroup analyzes revealed benefits across both randomized controlled trials and quasi-experimental studies with varying abstinence rates. Studies utilizing biochemical verification showed significant positive effects despite substantial heterogeneity, and short-term (<3 months) abstinence was significantly higher in intervention groups compared to controls. Overall, no differences were found between subgroups regarding intervention effectiveness.
Conclusion This meta-analysis indicates that non-pharmacological school-based interventions positively impact smoking abstinence rates, although effectiveness may vary based on study design, follow-up duration, and use of biochemical verification. The findings underscore the need for further research with larger sample sizes, extended follow-up periods, and improved methodological rigor in these regions.
Citations
Citations to this article as recorded by
Global disease burden of laryngeal cancer attributable to smoking from 1990 to 2021 Xiao Han, Shanchun Gong, Chao Wang, Yulin Zhang, Yufei Pan, Jing Li, Kai Liu, Zhenkun Yu European Journal of Cancer Prevention.2026; 35(4): 291. CrossRef
Adapting and Implementing a School-Based “Implementation Intentions” Program Within FRESHAIR4Life to Prevent Smoking Initiation Among Adolescents in Greece: A Study Protocol Izolde Bouloukaki, Antonios Christodoulakis, Sevasti Peraki, Floor A. Van Den Brand, Faraz Siddiqui, Theodoros Krasanakis, Antonia Aravantinou-Karlatou, Purva Abhyankar, Siân Williams, Julia van Koeveringe, Rianne MJJ van der Kleij, Ioanna Tsiligianni Healthcare.2026; 14(7): 938. CrossRef
Objectives Vitamin D regulates immune function, cell proliferation, and differentiation. Its deficiency is linked to sepsis, although the causal relationship remains unclear. Studies suggest a strong correlation between FokI polymorphism and sepsis in the context of vitamin D deficiency. This study examined the association between vitamin D levels, the VDR FokI polymorphism, and sepsis risk through a systematic review and meta-analysis.
Methods Relevant articles from 2014–2024 were identified from various databases, including PubMed, Scopus, and Cochrane. A meta-analysis was conducted to assess the difference in vitamin D levels between the sepsis and control groups, as well as the relationship between VDR FokI genotypes (TT, CT, CC) and sepsis risk.
Results Vitamin D levels in sepsis patients were consistently lower than in the control group, with a mean difference of –4.17 ng/mL (95% confidence interval, –7.87 to –0.47; p=0.03). However, the relationship between VDR FokI genotype and sepsis risk was not statistically significant (p>0.05), although several individual studies showed a positive correlation. High heterogeneity was found in the analysis of vitamin D levels (I2=100%) and FokI genotypes (I2=91%), which affected the interpretation of the results.
Conclusion Vitamin D deficiency is a potential risk factor for sepsis, while the relationship between the VDR FokI polymorphism and sepsis risk requires further investigation. These findings highlight the importance of early detection of vitamin D deficiency as a preventive strategy in at-risk populations, although additional studies with more standardized designs are needed to definitively confirm this relationship.
Citations
Citations to this article as recorded by
Vitamin D Status and Sepsis Outcomes: A PRISMA-Compliant Umbrella Review and Meta-Analysis Gracia Castro-Luna, Henar Gómez Galera, Meritxell Sánchez Martínez, Cristina Gongora-Beltran Nutrients.2026; 18(5): 869. CrossRef
Objectives The objectives of this review and meta-analysis were twofold: first, to critically evaluate the effectiveness of cognitive behavioral therapy (CBT)-based interventions relative to standard care or control conditions in promoting smoking abstinence at the end of treatment, and second, to determine abstinence rates at 3 and 6 months of follow-up.
Methods A comprehensive search of electronic databases, including PubMed, Cochrane Library, PsycINFO, Embase, and ClinicalTrials.gov, was conducted for randomized controlled trials published from 2001 to September 2024. Studies evaluating the effect of CBT on abstinence rates among healthy smokers (aged ≥12 years) were included and analyzed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
Results Out of 1,514 study records screened, 7 studies (comprising 17 arms and 1,438 participants) met eligibility criteria for inclusion in the final analysis. The pooled analysis revealed that CBT significantly improved smoking abstinence rates, demonstrating a fourfold increase in effectiveness compared to controls (odds ratio [OR], 4.04; 95% confidence interval [CI], 2.73–5.99; I2=19%; p<0.00001). Additionally, CBT significantly impacted smoking cessation at 3-month follow-up (OR, 1.62; 95% CI, 1.11–2.38; I2=0%; p=0.01) and 6-month follow-up (OR, 2.19; 95% CI, 1.59–3.00; I2=0%; p<0.00001).
Conclusion CBT has demonstrated efficacy in facilitating smoking abstinence, particularly immediately after treatment, with sustained but diminished effects over time. However, robust conclusions on the efficacy of CBT require further studies involving larger sample sizes, diverse geographical regions, and longer follow-up periods.
Citations
Citations to this article as recorded by
The Development and Implementation of a Multimodal Preoperative-specific Smoking Cessation Project Mary Ann Z. de Vera, Rashmi J. Patel, Andrea H. Kline-Simon, Felicia W. Chi, Kelly C. Young-Wolff Journal of PeriAnesthesia Nursing.2026; 41(3): 564. CrossRef
Effectiveness of Workplace-Based Tobacco Awareness Interventions on Quit Readiness Among Bus Drivers: A Randomized Comparative Pilot Trial Gagan Raj, Ankita Jain Cureus.2026;[Epub] CrossRef
Protocol for a randomized controlled trial of a cognitive-behavioral therapy–based smoking cessation intervention in incarcerated individuals: The PRISANTABAC Study Mélanie Rome, Xavier Laqueille, Carine Meslot, Katia Illel, Delphine Bourdeau, Lucia Romo Contemporary Clinical Trials Communications.2026; 51: 101643. CrossRef
Objectives This study aimed to identify safe, conserved, and highly immunogenic epitopes from all proteins of human-infecting norovirus (NoV) and to design a multi-epitope subunit vaccine construct from these epitopes using an immunoinformatics approach. Additionally, the vaccine construct was evaluated using both sequence- and structure-based assessments.
Methods Conserved fragments were identified from all proteins of human-infecting NoV, and B and T lymphocyte epitopes were subsequently predicted using multiple epitope prediction tools. The selected epitopes were linked to form a multi-epitope construct, incorporating various adjuvants in the design. Vaccine constructs with different adjuvants were analyzed for their physicochemical properties and immune simulation profiles, and the optimal combination was selected as the final vaccine candidate for further study. Finally, molecular docking and dynamics simulations were performed to visualize the interaction between the construct and a host immune receptor.
Results Twenty-two safe, conserved, and highly immunogenic epitopes were identified from all human-infecting NoV proteins. The construct adjuvanted with 50S ribosomal protein L7/L12 (50SrpL7/L12) was chosen as the final vaccine candidate due to its optimal physicochemical properties and favorable immune simulation profile. Furthermore, the construct exhibited high binding affinity and a stable interaction with toll-like receptor 4).
Conclusion The multi-epitope subunit vaccine designed in this study shows promise as a potential NoV vaccine candidate for human immunization. Further in vitro and in vivo experiments are warranted to validate these findings.
Citations
Citations to this article as recorded by
A multi-epitope pan-betacoronavirus vaccine construct predicted to induce broad-spectrum and durable immune responses: an immunoinformatics approach Anabella Margareth Arapa, Trina Ekawati Tallei, Rinaldi Idroes, Fatimawali, Elly Juliana Suoth, Maghfirah Savitri, Ahmad Akroman Adam, Beivy Jonathan Kolondam, Chika Yamada, Rosy Iara Maciel de Azambuja Ribeiro, Amama Rani, Moon Nyeo Park, Youdiil Ophinn Frontiers in Bioinformatics.2026;[Epub] CrossRef
A Multi-Domain Approach for Designing of Novel Epitopes-Based Vaccine Against Chandipura Virus Alhanouf I. Al-Harbi, Raed Amer Ali Alsahoo, Asad Ullah, Sajjad Ahmad Journal of Pharmaceutical Innovation.2026;[Epub] CrossRef
Immunoinformatics-based design of artificial chimeric proteins as universal vaccine candidates against foot-and-mouth disease virus serotypes A, O, and SAT2 Alyaa Elrashedy, Mohamed Nayel, Akram Salama, Ahmed Zaghawa, Mohamed E. Hasan Scientific Reports.2026;[Epub] CrossRef
Immunoinformatics-guided design of a multi-epitope mRNA vaccine candidate against Western Equine Encephalitis virus Elijah Kolawole Oladipo, Boluwatife Ayobami Irewolede, Stephen Toluwanimi Gbadero, Favour Adebimpe Adebisi, Noor-Al-Hudah Nurudeen, Emmanuel Ololade Oyediran, Rukayat Romoke Tajudeen, Taiwo Dorcas Akinpelu, Christiana Iyanuoluwa Kolapo, Balqis Ajoke Adeji The Veterinary Journal: Pharmacology & Toxicology.2026; 1(4): 100019. CrossRef
Objectives This study investigated the relationship between metabolic factors (blood lipids and glucose) and inflammatory indicators (tumor necrosis factor-alpha [TNF-α] and high-sensitivity C-reactive protein [hs-CRP]), disease activity, and the rheumatoid arthritis (RA) risk.
Methods Serum fasting blood glucose (FBG) and lipid profiles—including total cholesterol (Chol), triglycerides (TG), high-density lipoprotein (HDL), and low-density lipoprotein—were measured in 100 RA patients and 100 healthy individuals. Disease severity was assessed using the disease activity score 28. Inflammatory indicators (TNF-α and hs-CRP) were measured using the enzyme-linked immunosorbent assay method.
Results In RA patients, serum FBG, TG, Chol/HDL, and TG/HDL were significantly elevated, whereas HDL levels reduced compared to healthy individuals. Multivariate analysis indicated that each unit increase in serum FBG, HDL, Chol/HDL, and TG/HDL was associated with a 64% increase (p<0.001), a 7% reduction (p=0.001), a 52% increase (p=0.007), and a 54% increase (p=0.001) in the odds of RA, respectively. Disease activity showed no correlation with metabolic factors (p>0.05). Among all metabolic factors studied, FBG had the largest area under the curve (0.981) (p<0.0001) for predicting RA. Across the total participant group, FBG, TG, and TG/HDL were positively associated with hs-CRP and TNF-α (p<0.05). HDL showed an inverse association with hs-CRP (p=0.008). Among RA patients specifically, TNF-α positively correlated with TG and TG/HDL, while hs-CRP correlated only with TG/HDL.
Conclusion These findings indicate that increased FBG and Chol/HDL and decreased HDL may elevate RA risk by promoting systemic inflammation. Among these, elevated FBG may serve as the strongest predictor of RA risk.
Citations
Citations to this article as recorded by
Roles of immune cell metabolism in rheumatoid arthritis Rui Xie, Zeping Chen, Shufang Deng, Xiaofeng Jiang, Yue Feng, Wei Zhao Frontiers in Immunology.2026;[Epub] CrossRef
Rheumatoid Factor Beyond Rheumatoid Arthritis: A Potential Marker of Cardiometabolic and Hepatic Risk Simeon Egba, Innocent Orhonigbe, Ngozi Achi, Gavin Ikechukwu, Charles Chukwu, Chukwudi Omeoga Biologics: Targets and Therapy.2026; Volume 20: 1. CrossRef
Objectives This study investigated the correlation between food insecurity and infectious diseases among toddlers in Indonesia.
Methods This research employed a cross-sectional study design using data from the 2021 Indonesian Nutrition Status Survey, which included a sample of 84,115 toddlers. Food insecurity levels were assessed using the food insecurity experience scale, developed by the Food and Agriculture Organization. The dependent variable, infectious disease, was defined as a toddler experiencing 1 or more of the following conditions: acute respiratory infections, diarrhea, pneumonia, measles, or worms. Multivariate analysis was conducted using multiple logistic regression to determine adjusted odds ratios (ORs).
Results The findings indicate that 23.78% of toddlers experienced at least 1 infectious disease. While more than half of the respondents were food secure, 26.5% faced mild food insecurity, 13.6% moderate food insecurity, and 6.5% severe food insecurity. Toddlers from households experiencing mild, moderate, and severe food insecurity had higher risks of infectious diseases compared to those from food-secure households, with adjusted ORs of 1.367 (95% confidence interval [CI], 1.308–1.428), 1.490 (95% CI, 1.399–1.588), and 1.500 (95% CI, 1.374–1.638), respectively.
Conclusion In conclusion, more severe food insecurity is correlated with an increased risk of toddlers suffering infectious diseases.
Citations
Citations to this article as recorded by
From pantry to physiology: A narrative review linking food insecurity to biological dysfunction Liahm Blank, Joshua Khorsandi, Nicole Kang, Kaloyan Momchilov, Itai Blank, Kavita Batra Dialogues in Health.2026; 8: 100308. CrossRef
Structural Equation Modelling of Socioeconomic Status on Malnutrition Among Urban Preschoolers: Multi-Group Analysis of Hungary and Indonesia Arie Dwi Alristina, Éva Kovács, Diyah Arini, Helga Judit Feith International Journal of Environmental Research an.2026; 23(7): 858. CrossRef
Implementasi Gerakan Kebun Gizi Keluarga (GK2) Sebagai Upaya Ketahanan Pangan dan Gizi Keluarga di Desa Gading Watu, Kabupaten Gresik Noveansyah Maskur Nurgah, Dhuha Nuri Samsiyah, Shafa Dwi Candra Syahputra, Aisyah Rahmah Maulidiyah , Rambu Breathy Salwasty Ananda Tamu Rambu, Intan Adinda Putri, Nabil Habib Abdillah, Devita Astrid Renata, Nurul I.A. Cahyo Wibowo, Muchammad Bachrul Ulu Journal of Community Development.2026; 7(2): 1. CrossRef
Prematurity and Low Birth Weight Among Food-Secure and Food-Insecure Households: A Comparative Study in Surabaya, Indonesia Arie Alristina, Nour Mahrouseh, Anggi Irawan, Rizky Laili, Alexandra Zimonyi-Bakó, Helga Feith Nutrients.2025; 17(15): 2479. CrossRef
Objectives To develop and evaluate forecasting models using the Holt-Winters statistical approach and the long short-term memory (LSTM) deep learning method for weekly seasonal influenza-like illness (ILI) incidences in Saudi Arabia. The study compares model performance and assesses the predictive value added by incorporating region-specific exogenous variables within Middle Eastern epidemiological modeling.
Methods This study compared the performance of Holt-Winters and LSTM models in forecasting weekly ILI cases in Saudi Arabia, using data collected from 2017 to 2022. Time series analysis integrated exogenous variables including climatic conditions and population mobility trends. The Holt-Winters model employed both additive and multiplicative seasonal components. Model performance was evaluated using root mean squared error (RMSE), mean absolute percentage error, and R2.
Results The best-performing model, LSTM with exogenous variables, achieved an RMSE of 28.55, mean absolute error (MAE) of 0.14, R2 of 0.96, and percent bias (PBIAS) of +2.1%, indicating negligible systematic error. The LSTM model without exogenous variables demonstrated slightly lower accuracy (RMSE of 34.07, MAE of 0.18, R2 of 0.93, PBIAS of +5.8%), indicating strong predictive capability but less precision in determining peak ILI cases. The Holt-Winters model effectively captured seasonal and long-term trends, but showed a moderate performance with an RMSE of 82.57, MAE of 0.38, R2 of 0.58, and a high PBIAS of +14.2%, revealing significant unexplained variability during periods of high incidence fluctuation.
Conclusion This study highlights the respective strengths and limitations of statistical and machine learning approaches for ILI forecasting.
Citations
Citations to this article as recorded by
Early-warning prediction of visceral leishmaniasis mortality using a multivariate STL–deep learning hybrid approach on 20 years of monthly time series Fathelrhman El Guma, Maaweya Awadalla, Halah Z. Al Rawi, Bashayer Saeed, Huda M. Alshanbari, Alshaikh A. Shokeralla, Bandar Alosaimi Frontiers in Public Health.2026;[Epub] CrossRef
A hybrid STL–LightGBM framework with probabilistic forecasting for Influenza A incidence in the post-pandemic Saudi Arabia Reham M. Alahmadi, Maaweya Awadalla, Bashayer Saeed, Huda M. Alshanbari, Alshaikh A. Shokeralla, Ali Atif Yassin, Bandar Alosaimi, Fathelrhman El Guma Frontiers in Public Health.2026;[Epub] CrossRef
Bayesian inference for modeling seasonal influenza transmission under control measures Rania Saadeh, Naseam Al-Kuleab, Fathelrhman EL Guma, Alshaikh A. Shokeralla, Suliman Jamiel M. Abdalla, Mohamed A. Abdoon, Mohamed Hafez Results in Control and Optimization.2026; 23: 100714. CrossRef
Machine Learning-Based Prediction of Seasonal Influenza Trends in Saudi Arabia: A Tool for Regional Public Health Planning Alshaikh A. Shokeralla, Fathelrhman El Guma, Ali H. Abdalla, Amal E.Y. Hagsddig, Rahma AbuBakr Musa, M.A.M. Eltaweel, Abdelaziz H. Elawad, Ibrahim Elshamy International Journal of Statistics in Medical Res.2025; 14: 688. CrossRef
Objectives Subacute sclerosing panencephalitis (SSPE) is a rare but fatal neurodegenerative disease caused by persistent measles virus infection. After a significant measles outbreak in 2000–2001, the Republic of Korea implemented a nationwide measles elimination program, which led to a dramatic reduction in measles incidence. This study aimed to evaluate the impact of these measles elimination efforts on the incidence of SSPE in the Republic of Korea.
Methods This nationwide, population-based retrospective cohort study identified patients newly diagnosed with measles and SSPE between 2007 and 2022, registered in the Health Insurance Review and Assessment Service (HIRA) and Korea Disease Control and Prevention Agency (KDCA) databases. Population-based incidence rates of measles and SSPE were calculated and compared annually.
Results A total of 236 measles cases (HIRA data) and 1,168 measles cases (KDCA data), along with 2,736 SSPE cases, were diagnosed during the study period. Measles incidence significantly declined, reaching zero cases in 2021, while SSPE incidence displayed an upward trend, peaking in 2014. The mean age at SSPE onset was 21.2 years, with a marked male-to-female ratio of 13.0:1.
Conclusion SSPE incidence was remarkably low in the post-outbreak period, likely attributable to successful measles control. This study underscores the critical importance of maintaining low measles incidence through sustained vaccination efforts, preventing SSPE and other measles-related complications.
Citations
Citations to this article as recorded by
Measles subacute sclerosing panencephalitis in children: past and present G. P. Ivanova, N. V. Skripchenko, E. Yu. Skripchenk, O. V. Goleva, A. V. Astapova Rossiyskiy Vestnik Perinatologii i Pediatrii (Russ.2026; 71(4): 14. CrossRef
Long-term survival (≥2 years) in subacute sclerosing panencephalitis: a systematic review of prolonged survivors Ravindra Kumar Garg, Shweta Pandey, Imran Rizvi, Sanjay Singhal encephalitis.2026; 6(4): 91. CrossRef
The Republic of Korea’s health system at a turning point: from infectious disease threats to comprehensive reform Jong-Koo Lee Osong Public Health and Research Perspectives.2025; 16(3): 193. CrossRef
Pan-Immune Inflammation Value and Clinical Outcomes in Subacute Sclerosing Panencephalitis: A Retrospective Study Bilge Özgör, Murat Çağlar Şahin, Işınsu Bıçakcıoğlu, Gül Yücel, Meral Karadağ, Serdal Güngör Viruses.2025; 18(1): 18. CrossRef
Objectives In the Republic of Korea, the previous surveillance system for zoonotic tuberculosis (TB) involved the X-ray testing of humans in contact with Mycobacterium bovis-infected livestock. In contrast, the updated surveillance system incorporates the genotyping of cultured Mycobacterium isolates for high-risk occupational groups. This study aimed to systematically document the detection, diagnosis, assessment, and response in the epidemic investigation of zoonotic TB in a laboratory worker in the Republic of Korea.
Methods M. bovis was confirmed using spoligotyping and whole genome sequencing. Clinical characteristics were reviewed through epidemiological investigation and interviews with the affected individual. Transmission routes and secondary spread were assessed via field epidemiological investigations and contact evaluations using chest X-ray and interferon gamma release assay for latent TB infection.
Results A 56-year-old laboratory worker presented with chest X-ray findings compatible with TB and subsequently tested positive for M. bovis. She had no clinical or family history of TB and remained asymptomatic. She completed a 6 month treatment regimen of isoniazid, rifampin, ethambutol, and pyrazinamide without hospitalization. Although no direct transmission pathways for zoonotic TB were identified, her work in a laboratory, processing specimens for zoonotic TB, indicated potential laboratory related exposure.
Conclusion This case underscores the importance of stringent use of personal protective equipment among high-risk occupational groups and the implementation of an enhanced surveillance system to report zoonotic TB. These findings highlight the need for a One Health approach and proactive surveillance, emphasizing the necessity of refining and strengthening surveillance systems for precise monitoring and an effective response.
Objectives This study presents the standardized protocols developed by the Clinical-Based Human Microbiome Research and Development Project (cHMP) in the Republic of Korea.
Methods It addresses clinical metadata collection, specimen handling, DNA extraction, sequencing methods, and quality control measures for microbiome research.
Results The cHMP involves collecting samples from healthy individuals and patients across various body sites, including the gastrointestinal tract, oral cavity, respiratory system, urogenital tract, and skin. These standardized procedures ensure consistent data quality through controlled specimen collection, storage, transportation, DNA extraction, and sequencing. Sequencing encompasses both amplicon and whole metagenome methods, followed by stringent quality checks. The protocols conform to international guidelines, ensuring that the data generated are both reliable and comparable across microbiome studies.
Conclusion The cHMP underscores the importance of methodological standardization in enhancing data integrity, reproducibility, and advancing microbiome-based research with potential applications for improving human health outcomes.
Citations
Citations to this article as recorded by
Harnessing Dietary Tryptophan: Bridging the Gap Between Neurobiology and Psychiatry in Depression Management Amanda Chabrour Chehadi, Enzo Pereira de Lima, Cláudia Rucco Penteado Detregiachi, Rafael Santos de Argollo Haber, Virgínia Maria Cavallari Strozze Catharin, Lucas Fornari Laurindo, Vitor Engracia Valenti, Cristiano Machado Galhardi, Masaru Tanaka, Sandra International Journal of Molecular Sciences.2026; 27(1): 465. CrossRef
Human Microbiota-Associated Pig Models for Translational Microbiome Research: A Scoping Review Seong-Jin Wang, Hao-Yang Nian, Zhi-Hao Chen, Li Cui International Journal of Molecular Sciences.2026; 27(4): 1987. CrossRef
Gut microbiota-regulated tryptophan metabolism in breast cancer: mechanisms and therapeutic perspectives Jiaxi Yan, Linfeng Qian, Shiqi Chen, Maryam Mohammed Abbas Karekad, Xuanwei Wu, Musheng Xu, Xiaohong Xu Frontiers in Oncology.2026;[Epub] CrossRef
Genome-based medicine in Korea: the Korea National Institute of Health infrastructure for precision medicine Hyun-Young Park Childhood Kidney Diseases.2026; 30(1): 15. CrossRef
The gut microbiome as a biomarker and modifiable risk factor in Lynch Syndrome Verona Sarena Colaco, Annemarie Boleij Familial Cancer.2026;[Epub] CrossRef
The Expanding Landscape of Microbiota Medicine: Indications, Therapeutic Modalities, and the Path Towards Integrative Microbiome‐Targeting Healthcare Min Dai, Yisha Lin, Renyou Gan, Xiaotao Shen, Shin Young Park, Sunjae Lee, Qi Su Microbiota Medicine Research.2026; 1(2): 63. CrossRef
Gut microbiome biomarkers for colorectal cancer detection: a systematic review highlighting age as a key confounder Pankaj Chejara, Anders Eriksson Frontiers in Oncology.2026;[Epub] CrossRef
The gut microbiome organ Yang Bi, Weibin Song, Maria Glymenaki, Jie Hu, Xiru Li, Heng Huang, Yousong Peng, Shuaishuai Ni, Ornuma Haonon, Zhu Liu, Krai Daowtak, Xiaotao Shen, Huadong Peng, Jutarop Phetcharaburanin, Huiru Tang, Yulan Wang, Jia V. Li, Mizu Jiang, Nick Powell, Victor iMeta.2026;[Epub] CrossRef
Microbiome-based therapeutics for
Clostridioides difficile
infection: additive, subtractive, and modulatory strategies in modern clinical practice
Roxana-Elena Cristian, Corneliu Ovidiu Vrancianu, Marian Constantin, Mihaela Paun, Eduard C. Milea, Dragos Malaescu, Mariana Carmen Chifiriuc Gut Microbes.2026;[Epub] CrossRef
The emerging role of microbiota in neuro-oncology Golnaz Morad, Rebecca A. Soto, Nadim J. Ajami, Sherise D. Ferguson, Jennifer A. Wargo Nature Reviews Neurology.2026;[Epub] CrossRef
Associating the oral microbiome across the head and neck cancer continuum: a scoping review Nicholas G. Beacher, Marcello Riggio, Adil Khan, Mark C. Butcher, Chris Delaney, David I. Conway Critical Reviews in Microbiology.2026; : 1. CrossRef
First
Prev
