Bulletins - Sci-Tech Bulletin

IMOP-Cancer Predicts Tumor Behaviour Through Mutation Order

IMOP-Cancer, a computational framework identifies how the order of genetic mutations influences cancer progression, prognosis, immune response, and treatment outcomes. Using genomic and transcriptomic data from over 9,000 tumours across 33 cancer types; 106,034 mutation order pairs have been identified that significantly affects cancer phenotypes. The framework integrates mutation timing, cancer cell fraction, phylogenetic analysis, and gene expression profiling to reveal biologically meaningful mutation sequences that influences tumour proliferation, immune activity, drug sensitivity, and patient survival, highlighting its potential in advance precision oncology, prognostic prediction, and personalized cancer therapy.

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Green Nanotechnology using plants for Cancer and Inflammation treatment

Green-synthesized silver nanoparticles (AgNPs) are developed using the medicinal plant Taxus wallichiana, whose phytochemicals served as natural reducing and stabilizing agents. Characterization by UV–Vis spectroscopy, SEM, FTIR, and GC–MS confirmed the formation of stable spherical and oval nanoparticles measuring 10–20 nm. Biological evaluation demonstrated enhanced cytotoxicity against U87 glioblastoma cells (up to 85.45%) and superior anti-inflammatory activity compared with the crude plant extract, while acute toxicity studies showed no adverse effects at doses up to 2000 mg/kg. These findings underscore the potential of Taxus wallichiana-derived AgNPs as sustainable nanotherapeutics for cancer and inflammatory diseases.

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The Hidden Role of Bed Dust Bacteria in Children’s Respiratory Health

The bacterial microbiome in household bed dust is strongly influenced by environmental factors and may play an important role in childhood asthma. When 90 bed dust samples were analysed using high-throughput 16S rRNA gene sequencing, significant differences in bacterial community composition between asthmatic and healthy children have been found. Factors such as living environment, housing type, pet ownership, and cleaning practices were found to shape indoor microbial diversity. Fostering a healthy diverse indoor microbiome could support respiratory health and inform future indoor air quality and healthy home strategies.

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GOATOOLS Python Library: Transforming Gene Ontology Research

GOATOOLS is an open-source Python library designed to enhance Gene Ontology Enrichment Analysis (GOEA) by making results more accurate, reproducible, and easier to interpret. It efficiently processes Gene Ontology data, performs statistical enrichment analysis using Fisher’s Exact Test with multiple testing corrections, and organizes complex GO results through a novel grouping approach. The library was validated using simulated datasets and a published Alzheimer’s disease RNA-seq dataset, with performance compared against DAVID and GOstats. GOATOOLS delivers comparable or superior enrichment results while offering greater flexibility, automation, and clearer biological insights for genomic and transcriptomic research.

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Antimicrobial Resistance and Global Antibiotic Use: Trends and Projections Through 2030

Global antibiotic consumption increased steadily between 2016 and 2023, with only a temporary decline during the COVID-19 pandemic before rebounding, particularly in middle-income countries. An analysis of data from 67 countries found a 16.3% increase in antibiotic consumption over the study period. Looking ahead, the researchers project global antibiotic use to rise by 52.3%, from 49.3 billion defined daily doses (DDDs) in 2023 to 75.1 billion DDDs by 2030, if current trends continue. Stronger antimicrobial stewardship, improved sanitation, expanded vaccination, better diagnostics, and effective regulatory policies are essential to curb unnecessary antibiotic use and slow the spread of antimicrobial resistance.

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Banana smoothies may reduce flavanol benefits of berries

Polyphenol oxidase (PPO), an enzyme abundant in bananas, affects the bioavailability of flavan-3-ols, beneficial plant compounds found in fruits. When banana smoothies (high PPO) are made by mixing berry smoothies (low PPO), and flavan-3-ol capsules, flavan-3-ol absorption is lowered by 84%, while berry smoothies preserved bioavailability. Even when banana and flavan-3-ols were consumed separately, absorption remained lower, suggesting PPO continues acting during digestion. The findings highlight that fruit selection, and preparation methods can significantly influence nutrient absorption, informing dietary recommendations and smoothie formulation.

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Artificial Light at Night Increases Type 2 Diabetes Risk

Artificial light at night (ALAN) is an increasingly prevalent environmental exposure that may contribute to the rising burden of type 2 diabetes. Nighttime light disrupts circadian rhythms, suppresses melatonin production, impairs insulin sensitivity, and promotes unhealthy lifestyle behaviours associated with poor metabolic health. The ALAN timing, duration, and wavelength of light exposure significantly influence diabetes risk. Strategies such as optimizing sleep environments, minimizing evening screen exposure, and adopting chrononutrition and chronotherapy may help reduce diabetes risk and support better metabolic health, healthier lifestyle habits, and wound enhance diabetes management.

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AI-HEALS: A New AI-Based Approach to Personalized Diabetes Care and Education

The Artificial Intelligence-based Health Education Accurately Linking System (AI-HEALS) is an innovative mobile health intervention designed to enhance Type 2 diabetes self-management through personalized, AI-driven education. Delivered via WeChat, the platform integrates knowledge-based question answering, lifestyle and physiological monitoring, medication reminders, and tailored health messages. This research protocol outlines a rigorous framework for evaluating whether AI-HEALS can improve HbA1c levels, self-management behaviours, health literacy, psychological well-being, and cost-effectiveness, providing valuable evidence for the future of AI-supported diabetes care.

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First Human Trial of stem cell-derived islet transplant offers new hope for Type 1 Diabetes

This first-in-human Phase I clinical trial evaluated a personalized stem cell therapy for Type 1 Diabetes. Researchers chemically reprogrammed the patient’s own fat-derived cells into insulin-producing pancreatic islet cells and transplanted them beneath the abdominal anterior rectus sheath. The patient achieved insulin independence within 75 days, maintained excellent blood glucose control for one year, and reduced HbA1c to non-diabetic levels without transplant-related complications. Although based on a single patient, the study highlights the promising potential of regenerative stem cell therapy for treating Type 1 Diabetes.

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A Promising Oral GLP-1 Drug for Type 2 Diabetes and Obesity

Once a-day, daily oral dose of a novel small-molecule GLP-1 receptor agonist, AZD5004, has demonstrated promising potential for the treatment of type 2 diabetes and obesity. In a Phase I first-in-human study, the drug showed potent GLP-1 receptor activation, enhanced glucose-dependent insulin secretion, and dose-dependent reductions in blood glucose and body weight. Preclinical studies also revealed significant long-term weight-management benefits and a favourable safety profile. Importantly, no serious adverse events were reported in clinical testing, supporting the continued development of AZD5004 as a convenient and effective oral metabolic therapy.

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