Biomedical subjects

Muhammad Ali

Publications and source records attributed to Muhammad Ali.

6 recordsLinked to original sources

PubMed2026

A review on fungal pathogens in the One Health framework: connecting plant, animal, and human health.

The growing burden of fungal diseases on human, animal, plant, and environmental health is a serious global problem that requires a "One Health" approach beyond disciplinary silos. Fungal diseases are often neglected, yet their prevalence and importance are increasing at an alarming rate. Complex interactions among different host organisms, coupled with human activities, anthropogenic environmental impacts, climate change, globalization, and antifungal drug use, particularly in agriculture, are significant contributing factors. The emergence and spread of resistance to existing antifungal agents is one of the most important consequences, leading to poor treatment outcomes in both clinical and agricultural settings. Azole fungicides used in crops have been associated with the selection of resistant strains in some fungi common in the environment and associated with human disease, such as Aspergillus flavus and Fusarium spp., which have a unique enzyme paralogue cyp51C, and efflux pumps that flush out the azoles, thereby leading directly to treatment failure. The article explains how fungal pathogens can affect each of the three pillars of One Health. In plant health, fungal infections affect food security and economic outcomes, while the use of fungicides for treatment can lead to cross-resistance with clinical medications. In animal health, fungal diseases affect livestock well-being and productivity, and animals act as reservoirs for the zoonotic transmission of resistant strains to humans. In human health, the impact on immunocompromised populations is high, as invasive fungal infections result in significant morbidity and mortality. Limited availability of antifungal drugs, diagnostic challenges, and limited surveillance. To combat these multifaceted, interconnected challenges, a collaborative, multisectoral approach is imperative. Looking ahead, future initiatives should emphasize genomic and eco-epidemiological research to elucidate the drivers of emergence, anticipate outbreaks, and identify emerging threats. In conclusion, addressing the global burden of fungal diseases necessitates a holistic One Health approach that aligns surveillance, research, policy, and public health interventions to preserve the efficacy of existing treatments and protect the health of all interconnected domains.

Humans↗

PubMed2026

Genome-Resolved Metagenomics Revealed the Functional Potential of Core Novel and Known Genera Key to Processes in Full-Scale Aerobic Granular Sludge Plants.

Microbial communities are critical for nutrient removal in aerobic granular sludge (AGS) wastewater treatment plants (WWTPs). Despite the stable long-term operation of full-scale AGS WWTPs, the microbial populations and functional traits sustaining stable long-term performance remain poorly resolved. To address this gap, the recovered MAG catalog from nine full-scale AGS WWTPs across five countries was analyzed. From this catalog, 74 high-quality core MAGs were identified and used for downstream taxonomic characterization and functional analyses. These high-quality core MAGs spanned 48 established and 7 novel genera, representing 31 known and 43 novel species. Functional analysis linked core MAGs to key WWTP processes: polyphosphate accumulation (9), glycogen accumulation (12), denitrification (62), and nitrification (1). These included four novel MAGs with glycogen-accumulating (3) and polyphosphate-accumulating (1) potential and 11 capable of nitrous oxide reduction, critical for mitigating greenhouse gas emissions. Ca. Phosphoribacter was the most abundant genus, highlighting its underestimated role caused by misclassification as Tetrasphaera in 16S rRNA surveys. Specifically, Ca. P. hodrii was the dominant species, exhibiting enhanced sugar uptake and amino acid synthesis as likely drivers of its enrichment in the AGS WWTPs. Overall, this study resolves for the first time the taxa and functional traits consistently enriched in full-scale AGS systems, enabling a shift from an empirical performance assessment toward biologically informed process interpretation.

Sewage↗

PubMed2026

Nanocarrier-Based Gene Delivery Systems: Mechanisms, Clinical Translation, and Future Perspectives.

Gene therapy holds revolutionary potential for managing genetic disorders, cancers and infectious illnesses. However, one of the biggest challenges is delivering DNA or RNA into targeted cells and in the safe and effective way. In this review, nano carrier-based approaches for gene delivery are critically examined, focusing on both viral and non-viral systems. The advancement of CRISPR-Cas genome editing, machine learning-assisted nanocarrier optimization, and biologically inspired delivery systems is being quickly pushed forward in this area. In this review, a comparative analysis of gene delivery systems is being provided, and the key challenges to clinical translation are being pointed out. In addition, expert opinions on future research directions are being offered, with a heavy focus on the development of multifunctional, precisely targeted, and easily scalable delivery systems that can be integrated with next-generation therapeutic technologies.

Humans↗

PubMed2026

Genome-wide identification and characterization of 1-amino-cyclopropane-1- carboxylate synthase (ACS) gene family in Carica papaya and expression insights in response to hormone stress.

ACC-synthase (1-aminocyclopropane-1-carboxylate synthase), also known as the ACS gene, plays a pivotal role in ethylene production, which is of great importance in the fruit ripening process for producing saleable yield (marketable fruit). The ACS gene family presumably controls stress responses, plant growth and development, and particularly fruit ripening. Computational biology was used as an essential tool to identify seven ACS genes in Carica papaya (red hermaphrodite) using an RNA-seq database (NCBI GEO). Further, the phylogenetic relationships of ACS genes determined gene family resemblance in the genomes of Hordeum vulgare, Musa acuminata, C. papaya, and Arabidopsis thaliana; therefore, the identified gene families were further classified into four distinct clades (Type-I, Type-II, Type-III, and Type-IV) in alignment with the well-established Arabidopsis classification. Moreover, encompassing gene structure, domain motifs, cis-element phylogenetic profiling, synteny, and transcriptomic profiling unveiled latent structural and functional attributes within CpACS genes. Through segmental duplication of CpACS, insights into evolutionary duplication events were predicted. The paralogous behavior of ACS genes in C. papaya and a comprehensive transcriptomic analysis demonstrated both up- and down-regulation patterns in response to ethylene treatment at different time points during the fruit ripening process, using the papaya manual handbook V2 (2021). Gene expression showed upregulation of two essential CpACS genes, CpACS5 and CpACS6. RT-qPCR validates the expression of these important genes during fruit ripening. However, one gene, CpACS7, is expressed in the later stages of fruit development. Our results demonstrated novel avenues for understanding the expression pathways of the ACS gene family in red hermaphrodite papaya, and most of these genes were linked to regulating various abiotic stresses, plant growth, and fruit development.

Carica↗

PubMed2026

Workforce Representation in Ophthalmology Oral Board Examiners and Examinees.

PURPOSE: To evaluate the characteristics of the American Board of Ophthalmology (ABO) oral board examiners and examinees as well as trends in examiner and examinee gender over time. DESIGN: Retrospective cohort study. SUBJECTS: ABO oral board examiners and examinees. METHODS: We utilized data from the American Board of Ophthalmology (ABO) and Association of American Medical Colleges (AAMC) to assess board examiner and examinee demographic characteristics from 2011 to 2024. Examiner characteristics included gender, years of experience, initial certification year and average examiner score. Examinee characteristics included gender, years since residency graduation and exam outcome (pass/fail). We utilized logistic regression to examine temporal trends in examiner and examinee gender from 2013 to 2024. MAIN OUTCOME MEASURES: Gender distribution of examiners and examinees. RESULTS: Overall, the proportion of women examiners increased over the study period. Notably, the most pronounced increase occurred following the transition from in-person to virtual oral board exam administration in 2020, rising from 31.3% (95% CI: 24.1%-38.4%) in 2019 to 49.1% (95% CI: 43.8%-54.4%) in 2024 (p < .001). The percentage of women examinees remained stable (41.7% [95% CI: 37.6%-45.8%] in 2019; 37.5% [95% CI: 33.0%-42.0%] in 2024, p-value: .019). CONCLUSIONS: The representation of women among the ABO oral board examiners has increased significantly following the transition to virtual exams while the proportion of examinees remained stable. Strategies to increase flexibility in scheduling exams may be beneficial in continuing to improve examiner representation.

Humans↗

PubMed2025

Patient stratification by genetic risk in Alzheimer's disease is only effective in the presence of phenotypic heterogeneity.

Case-only designs in longitudinal cohorts are a valuable resource for identifying disease-relevant genes, pathways, and novel targets influencing disease progression. This is particularly relevant in Alzheimer's disease (AD), where longitudinal cohorts measure disease "progression," defined by rate of cognitive decline. Few of the identified drug targets for AD have been clinically tractable, and phenotypic heterogeneity is an obstacle to both clinical research and basic science. In four cohorts (n = 7241), we performed genome-wide association studies (GWAS) and Mendelian randomization (MR) to discover novel targets associated with progression and assess causal relationships. We tested opportunities for patient stratification by deriving polygenic risk scores (PRS) for AD risk and severity and tested the value of these scores in predicting progression. Genome-wide association studies identified no loci associated with progression at genome-wide significance (α = 5×10-8); MR analyses provided no significant evidence of an association between cognitive decline in AD patients and protein levels in brain, cerebrospinal fluid (CSF), and plasma. Polygenic risk scores for AD risk did not reliably stratify fast from slow progressors; however, a deeper investigation found that APOE ε4 status predicts amyloid-β and tau positive versus negative patients (odds ratio for an additional APOE ε4 allele = 5.78 [95% confidence interval: 3.76-8.89], P<0.001) when restricting to a subset of patients with available CSF biomarker data. These results provided no evidence for large-effect, common-variant loci involved in the rate of memory decline, suggesting that patient stratification based on common genetic risk factors for progression may have limited utility. Where clinically relevant biomarkers suggest diagnostic heterogeneity, there is evidence that a priori identified genetic risk factors may have value in patient stratification. Mendelian randomization was less tractable due to the lack of large-effect loci, and future analyses with increased samples sizes are needed to replicate and validate our results.

Alzheimer Disease↗