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At least 19 recordsLinked to original sources

PubMed2026

Assessment the Effects of Roasted and Non-Roasted Coffee Extracts on Colon Cancer Cells.

Coffee extracts contain numerous bioactive compounds. Given the dietary link between coffee consumption and colorectal cancer, this study compared the effects of roasted and green (unroasted) coffee extracts on human colorectal cancer cells (HCT116) and non-cancerous fibroblasts (BJ-5ta) to evaluate how processing influences proliferation and molecular signaling. Real-time cell analysis (RTCA), qRT-PCR, and label-free quantitative proteomic analysis were performed to assess cellular responses. MTS and RTCA showed that in BJ-5Ta fibroblasts, coffee extracts increased proliferation in the order CNR < CAR < CAU < CNU, whereas the trend was reversed in HCT116 cancer cells. Proteomic analysis revealed that in BJ-5Ta cells, unroasted coffee extract caused downregulation of the ribosome pathway, and natural coffee extract caused downregulation of the gap junction pathway, indicating reduced protein synthesis and cell-cell communication as a potential stress-adaptive response. In contrast, in HCT116 cells, unroasted coffee extract upregulated the ribosome pathway. Also, natural coffee extract upregulated the pentose phosphate pathway in HCT116 cells, which may enhance NADPH production and reduce oxidative stress. Current evidence suggests coffee's bioactive compounds may have different effects varying by coffee extract type and their preparation.

Humans↗

PubMed2026

Furanic compounds in different coffee extraction systems: Analysis of the main influencing factors and correlation with acrylamide.

This study investigates how different coffee types representative of distinct roast profiles and brewing methods jointly affect the occurrence of furanic compounds and acrylamide in brewed coffee. Coffees were prepared using eight extraction methods (AeroPress, Clever, Chemex, French Press, Moka, Pure Brew, Turkish and V60). Five furanic compounds (furfural, furfuryl acetate, 5-methylfurfural, furfuryl alcohol and 5-hydroxymethylfurfural) were quantified in coffee powders and brews by HS-SPME-GC-MS, while acrylamide was determined by UHPLC-MS/MS. Moka and Turkish brews consistently exhibited the highest concentrations of furanic compounds, whereas paper-filtered pour-over methods (V60 and Chemex) showed the lowest levels. Pearson correlation analysis revealed coffee-dependent relationships between furanic compounds, acrylamide and extraction parameters with the strongest associations observed in dark-roasted coffee, reflecting advanced Maillard reaction chemistry. Overall, these results demonstrate that contaminant levels arise from the combined effects of intrinsic coffee chemistry and brewing mechanics and support targeted mitigation strategies: such as roast selection and brewing method optimization.

Acrylamide↗

PubMed2026

Chemical and sensory profiling of fermented, washed, and artificially flavored coffee beans: Insights into flavour quality, authenticity, and food safety implications.

This study establishes an integrated framework combining chemical profiling, sensory analysis, and molecular mechanism evaluation to compare flavour quality and authenticity among fermented, washed, and artificially flavored coffees. GC × GC-TOF-MS and UHPLC-HRMS showed that fermented samples had markedly higher ester and aromatic alcohol levels (total esters 74.5 ± 7.8 mg kg-1; phenylethanol 27.5 ± 3.2 mg kg-1, p < 0.01), enhancing fruity-floral notes. Washed coffees contained the highest organic acid concentrations (45.2 ± 3.8 mg kg-1, p < 0.01), supporting brightness and umami. Artificially flavored coffees exhibited elevated exogenous aromatics (vanillin 21.5 ± 3.1 mg kg-1) but significantly fewer Maillard products (p < 0.05) and reduced flavour retention (55% after 14 days). Molecular docking revealed higher theoretical binding affinities for naturally generated compounds, suggesting a potential molecular basis for their greater sensory persistence. The framework supports constructing coffee quality fingerprints and verifying flavour authenticity.

Flavoring Agents↗

PubMed2026

The science of Arabic coffee (Qahwa): from phytochemistry and nutritional profile to health benefits and safety evaluation.

Arabic coffee (Qahwa), a traditional beverage widely consumed in the Middle East, has attracted increasing scientific attention due to its distinctive phytochemical composition and associated health effects. This review provides an integrated analysis of Qahwa's nutritional profile, focusing on its key bioactive constituents, including chlorogenic acids, caffeine, diterpenes (cafestol and kahweol), and phenolic compounds. These constituents contribute to a range of biological activities, notably antioxidant, anti-inflammatory, hepatoprotective, and metabolic regulatory effects. The influence of technological variables, including roasting degree, brewing method, and bean origin, on the chemical composition and functional properties is critically examined. Safety concerns, particularly acrylamide formation and mycotoxin contamination, are also discussed. Although emerging data support Qahwa's potential as a functional beverage, further research is required to clarify dose-response relationships, synergistic interactions, and long-term health outcomes. This work highlights Qahwa as a promising candidate for food and nutraceutical applications, warranting standardized compositional profiling and toxicological evaluation.

Humans↗

PubMed2026

The complete and annotated mitochondrial genome of Hemileia vastatrix Race I, causal agent of coffee leaf rust.

Hemileia vastatrix is the fungal pathogen responsible for coffee leaf rust (CLR), the most economically important disease of Coffea arabica worldwide. Recently, the nuclear genome of this fungus was completely deciphered. However, the mitochondrial genome of H. vastatrix has remained undercharacterized. Here, we present the complete, circularized mitochondrial genome of H. vastatrix Race I (isolate HvRI), assembled using a hybrid approach combining PacBio HiFi long reads and BGIseq short reads. The genome is 173,525 bp in length with a GC content of 33.1% and encodes 41 functional genes, including 15 protein-coding genes, 2 rRNAs, and 24 tRNAs. The assembly reveals significant structural complexity, driven by intron expansion in the cox1 and cob genes. Notably, the atp8 gene contains a group II intron, rare for this locus, whose internal open reading frame displays evidence of pseudogenization via internal stop codons.. We also characterized a putative replication initiation zone (~1.2 kb) defined by a poly-G homopolymer and conserved regulatory motifs. The mitogenome of the HvRI isolate does not contain cob mutations that lead to amino acid substitutions G143A and F129L associated with the quinone outside inhibitor (QoI) fungicide resistance. This high-quality mitogenome is an important resource for comparative mitogenomics, population diversity studies, and the molecular surveillance of QoI fungicide resistance.

Genome, Mitochondrial↗

PubMed2026

Endophytic fungi isolated from coffee plants promote Arabidopsis thaliana growth and suppress soil-borne fungal pathogens.

Endophytic beneficial microorganisms are widely used in agriculture for promoting plant growth and enhancing plant defense mechanisms. This study aimed to characterize endophytic fungi isolated from the roots of coffee plants cultivated in organic agroforestry systems and evaluate their potential as biocontrol agents against fungal pathogens, as well as their ability to promote plant growth. Biocontrol activity was assessed using in vitro dual-culture assays on potato dextrose agar, measuring the inhibition of pathogen growth. Plant growth promotion was evaluated by co-cultivating Arabidopsis thaliana seedlings with fungal isolates on Murashige and Skoog medium. Isolates were further subjected to both qualitative and quantitative biochemical characterization. A total of 18 endophytic fungal strains were identified and classified in five genera: Colletotrichum, Fusarium, Simplicillium, Lasiodiplodia and Trichoderma. Among these, ten Trichoderma isolates demonstrated strong antagonistic activity against selected fungal pathogens and significantly enhanced the growth of Arabidopsis seedlings in vitro. These beneficial effects were associated with the production of siderophores and indole-3-acetic acid, as well as the apparent nitrogen availability -- likely mediated through interactions with nitrogen-fixing bacteria.

Arabidopsis↗

PubMed2026

Genetic and Environmental Influences on Caffeine Intake in Korean Twins.

Caffeine intake may be influenced by both genetic and environmental factors. This study aimed to examine the genetic contribution to variation in coffee and tea drinking, as well as total caffeine intake. A total of 1,106 Korean twins, comprising 456 monozygotic and 97 dizygotic twin pairs aged 30 years or older, from the Healthy Twin Study were included. Structural equation models were used to assess heritability estimates and their 95% confidence intervals (CIs). Heritability (95% CI) was estimated at 0.29 (0.21, 0.37) for coffee drinking, 0.11 (0.02, 0.20) for tea drinking, and 0.27 (0.16, 0.38) for total caffeine intake, with the remaining variance in each trait attributed to unique environmental factors. The unique environmental factors contributed more substantially to coffee drinking than genetic factors during early adulthood, while the genetic contribution to tea drinking remained consistently low across all ages. In conclusion, coffee drinking, tea drinking, and total caffeine intake were partly heritable, with unique environmental factors playing a predominant role.

Humans↗

PubMed2026

Standard tea intake is causally associated with a reduced risk of wet age-related macular degeneration: a Mendelian randomization study.

Researchers have posited that increased consumption of tea and coffee may be associated with more favorable treatment outcomes in patients with age-related macular degeneration (AMD). However, there is no clear evidence regarding the causal associations. To delve deeper into this potential connection, scientists used a rigorous method known as Mendelian randomization (MR). This technique was used to explore the causal impact of tea and coffee consumption on the development or progression of AMD. With the aim of investigating the cause-and-effect relationship between 16 tea- and coffee-consuming subtypes and 3 AMD, we designed a two-sample MR study using comprehensive data from genome-wide association studies (GWAS). The major approach adopted was inverse variance weighting (IVW). Furthermore, we implemented complementary methods like the weighted median (WM), weighted mode, and MR-Egger to strengthen our findings. Sensitivity analyses, including MR-Egger, MR-PRESSO, leave-one-out, and Cochran's Q tests, were used to validate results, explore heterogeneity and pleiotropy, and pinpoint potential biases. Two hundred and sixty-eight instrumental variables were selected for MR analysis. The results showed that standard tea intake may be a protective factor for wet AMD [odds ratio (OR) = 0.7076, 95% confidence interval (CI) = 0.5776-0.8668, P = 8 × 10-4, PFDR = 0.0402]. Sensitivity analysis suggests that the results are robust. Our findings provide genetic evidence that standard tea intake is a protective factor against wet AMD, providing new insights into early risk stratification and prevention strategies for the disease.NEW & NOTEWORTHY This study investigates the potential causal relationship between tea and coffee consumption and age-related macular degeneration (AMD) using Mendelian randomization. Analyzing data from genome-wide association studies, we focused on 16 beverage subtypes and 3 AMD conditions. Our findings suggest that standard tea consumption may protect against wet AMD, with robust evidence supporting this link. The results offer new insights into risk stratification and prevention strategies for AMD, highlighting the importance of dietary factors in eye health.

Mendelian Randomization Analysis↗

PubMed2026

Integrated Functional Characterization of Hemileia vastatrix Effector Candidates Reveals Coordinated Immune Suppression, Sequential Deployment and Compartment-Specific Targeting.

Coffee leaf rust, caused by the obligate biotrophic fungus Hemileia vastatrix, remains the most destructive disease of coffee worldwide. Although genomic and transcriptomic studies have identified a large number of candidate effectors, experimental evidence supporting their biological roles during infection remains limited. Here, we integrated functional assays, temporal expression profiling during coffee infection and subcellular localization analyses to investigate the biological properties of 44 H. vastatrix effector candidates (HvECs). Using the Pseudomonas fluorescens EtHAn effector delivery system in Nicotiana benthamiana, 15 HvECs consistently suppressed pattern-triggered immunity (PTI), indicating that immune suppression is a widespread property among the H. vastatrix effector repertoire, as assessed in this heterologous system. Five HvECs also attenuated AvrB-triggered effector-triggered immunity (ETI), and three suppressed both PTI and ETI, suggesting that a subset of HvECs targets conserved regulatory nodes shared by these interconnected immune pathways. Temporal expression profiling revealed sequential deployment of HvECs throughout infection, with distinct subsets predominating during pre-biotrophic development, host penetration or biotrophic colonization, consistent with stage-specific functions during fungal pathogenesis. Subcellular localization analyses further showed that HvECs preferentially accumulated in the nucleus or chloroplasts, compartments known as central hubs of plant immune regulation. This study provides the most comprehensive functional characterization of H. vastatrix effector candidates to date, establishes a biologically informed framework for prioritizing candidates for future identification of avirulence determinants recognized by SH resistance genes, and advances our understanding of how the coffee rust fungus orchestrates immune suppression across time and cellular space during pathogenesis.

Nicotiana↗

PubMed2025

A chromosome-level genome assembly of Coffea arabica L. var. 'Kona Typica'.

Coffea arabica L. var. 'Kona Typica' is renowned for its premium cup quality, but its vulnerability to pests and diseases limits production. To accelerate cultivar improvement, we generated a chromosome-level genome assembly of 'Kona Typica' using PacBio HiFi sequencing and Hi-C scaffolding technology. The final assembly spans 1.13 Gb, with a scaffold N50 of 50.50 Mb, organized into 22 chromosomes. BUSCO assessment indicated a high completeness at 99.1%. We annotated 65,458 protein-coding genes and identified 1,073,545 interspersed repeats, accounting for 65.16% of the genome. Analysis of transposon insertion ages revealed that most long terminal repeat retrotransposons proliferated after the polyploidization event. This high-quality genome assembly of 'Kona Typica' provides a valuable resource for exploring coffee genomic evolution and genetic mechanisms of complex traits, facilitating genomics studies and the development of improved coffee cultivars with enhanced disease resistance and quality traits.

Coffea↗

PubMed2026

Genome-wide subgenome-resolved analysis validates chromosome 4 differentiation and prioritizes introgressed Coffea arabica accessions.

Chromosome 4 introgression in Timor hybrid-derived Coffea arabica is established, but the robustness of accession prioritization and the relative strength of cultivated-introgressed differentiation across the canephora-derived (sgC) and eugenioides-derived (sgE) subgenomes remained unclear under explicit subgenome filtering. We reanalyzed public genomic resources from 44 coffee accessions using strict contig-level subgenome filtering, Arabica-only population-structure analysis, SNP-panel sensitivity testing, genome-wide differentiation scans, permutation testing, and direct sequence alignment. Population structure and accession rankings were stable across marker densities and random seeds, and the same six introgressed references were retained throughout. Chromosome 4 ranked first in both subgenomes, with a strong sgC signal and a markedly weaker sgE signal; independent baseline-panel permutation tests supported both chromosome 4-associated signals. Direct alignment supported correspondence to the expected chromosome 4 pseudomolecules while showing incomplete source coverage and unresolved exact boundaries. Alignment-supported blocks contained 88 sgC and 62 sgE provisional defense-, signaling-, and regulatory-associated annotations. These results provide a genome-wide, quantitatively validated framework for prioritizing introgressed germplasm and candidate chromosome 4 regions for phenotype-linked coffee research without implying equivalent introgression, exact liftover, or causal resistance genes.

Coffea arabica↗

PubMed2025

Biophysical metabolic modeling of complex bacterial colony morphology.

Microbial colony growth is shaped by the physics of biomass propagation and nutrient diffusion and by the metabolic reactions that organisms activate as a function of the surrounding environment. While microbial colonies have been explored using minimal models of growth and motility, full integration of biomass propagation and metabolism is still lacking. Here, building upon our framework for computation of microbial ecosystems in time and space (COMETS), we combine dynamic flux balance modeling of metabolism with collective biomass propagation and demographic fluctuations to provide nuanced simulations of E. coli colonies. Simulations produced realistic colony morphology, consistent with our experiments. They characterize the transition between smooth and furcated colonies and the decay of genetic diversity. Furthermore, we demonstrate that under certain conditions, biomass can accumulate along "metabolic rings" that are reminiscent of coffee-stain rings but have a completely different origin. Our approach is a key step toward predictive microbial ecosystems modeling. A record of this paper's transparent peer review process is included in the supplemental information.

Models, Biological↗

PubMed2026

Genome-wide analysis of lipoxygenase genes in Coffea arabica and its diploid progenitors.

Lipoxygenase proteins (LOXs) play a crucial role in plant growth, development, and defense notably through their involvement in jasmonic acid (JA) biosynthesis. Here, we aimed to identify and characterize genes encoding LOXs in three coffee species, Coffea arabica, Coffea canephora, and Coffea eugenioides, and to evaluate whether LOX genes are differentially expressed following hexanoic acid application in Coffea arabica. We found 18 LOX genes in Coffea arabica and 9 genes each in Coffea eugenioides and Coffea canephora. Chromosomal localization analyses revealed strong correspondence between the LOX genes of tetraploid Coffea arabica and those of its putative diploid progenitors, Coffea eugenioides and Coffea canephora. Transcriptomic and enzymatic analyses showed that hexanoic acid application modulates the expression of specific LOX genes and alters LOX activity in leaves and roots of Coffea arabica cvs. Catuaí Vermelho and Obatã. Notably, three LOX genes displayed strong correlations between transcript abundance and enzymatic activity. Together, these results indicate that a subset of LOX genes in Coffea arabica represents promising candidates for detailed functional analyses, as they likely contribute substantially to LOX activity and elicitor-induced defense responses in Coffea species.

Coffea↗

PubMed2026

Genome-Wide Association Analyses of Bitter Food Preferences Link Genetic Loci to Sensory and Metabolic Pathways.

BACKGROUND: Genetic variation is implicated in individual preferences for bitter-tasting foods. However, previous studies have focused on candidate genes and limited varieties of bitter-tasting foods and have treated food preference scale responses as continuous data. OBJECTIVES: The present investigation aimed to identify genetic variants associated with preferences for bitter-tasting foods using ordinal multinomial regression models in genome-wide association studies (GWAS). In addition, post-GWAS functional annotation and mapping, genetic correlations, and associations with dietary intake were examined. METHODS: Food preference and genome-wide genotyping data were used from the UK Biobank (n = 125,578). Preference data from Likert scale rankings (from 1 to 9) for 12 individual foods were analyzed using ordinal multinomial regression GWAS. In addition, 1 composite continuous variable was created for preference for cruciferous vegetables as a group and analyzed using a linear mixed-model GWAS to enable the calculation of a polygenic score (PGS) for cruciferous vegetable preference. Convergent validity of GWAS results was assessed with dietary intake data for the same food items in the CARTaGENE cohort (n = 8176). Post-GWAS gene-level and pathway-level association analyses were conducted in MAGMA (Multimarker Analysis of GenoMic Annotation). RESULTS: Forty-six single-nucleotide polymorphisms (SNPs) were identified for preferences for 11 bitter-tasting foods at a genome-wide significance level (P < 7.14 × 10-9). Gene-set analysis for enrichment identified pathways related to caffeine metabolism and bitter taste perception for preference of coffee without sugar and grapefruit, respectively. Genes with higher expression in brain tissues showed stronger genetic associations with cruciferous vegetable preference. The PGS for cruciferous vegetable preference was weakly correlated with intake (r = 0.05, P < 0.0001), but individual SNPs were not associated with intake in a consistent manner. CONCLUSIONS: Genetic variation contributes to preferences for bitter-tasting foods among adults, and some links with food intake are detectable. Nevertheless, effect sizes are small and inconsistent, reflecting the multifactorial complexity of food intake.

bitter taste↗

PubMed2026

THE1 repeats: Ancient endogenous retroviruses rampaging behind sarcoid myopathy.

Transposon-like human element (THE1) repeats are classified as part of the ERVL (endogenous retrovirus-like) -MaLR family and were previously thought to be remnants derived from retroviral infections in the germ cells of ancient primates. At present, at least 60,561 THE1 repeats have been mapped in the human genome, and they are divided into four subfamilies: THE1A, THE1B, THE1C, and THE1D. Although these repeats are largely silenced in somatic cells through multiple mechanisms, some of them are known to influence gene functions and genomic structures, particularly under disease conditions. Recently, we happened to identify the CIR1 driven from THE1B in the individuals with sarcoid myopathy (SM), which is characterized by the non-caseating granulomatous inflammation recognized in skeletal muscles biopsy. Retrotrans-genomics based on the COFFEE method showed that various THE1B fusion transcripts (THE1B/FTs) and retrotransposon-associated genomic dynamics in muscle of SM, including (1) splicing of THE1B to neighborhood exons, (2) expression of THE1B associated long noncoding RNAs in the intergenic regions, (3) ectopic expression of tissue specific transcripts driven by THE1B in SM, and (4) identification of a read through transcript, SIRPB1-SIRPD. Seven of eight THE1B/FTs downregulated by tofacitinib in cutaneous sarcoidosis were confined to the granuloma associated macrophage in sarcoidosis. The remaining transcript, SMFT4 exhibited stronger expression in mesenchymal stem cells. In addition, ectopic co-expression of canonical and LINE1 and THE1A-exonizing IL23R transcripts were identified in SM. This directory of THE1B/FTs in SM may serve as a fundamental molecular basis for understanding the pathogenesis of sarcoidosis.

Journal Article↗

PubMed2026

A reinforcement learning-enhanced fuzzy multi-objective equilibrium optimization framework for multiple sequence alignment.

Multiple sequence alignment (MSA) is a fundamental task in bioinformatics, underpinning comparative genomics, structural analysis, and evolutionary inference. However, MSA remains a challenging multi-objective optimization problem due to the need to simultaneously maximize alignment accuracy, preserve conserved regions, and control gap proliferation, particularly in large and heterogeneous sequence collections. In this work, we propose MOFSACEO-MSA, a novel hybrid optimization framework for multiple sequence alignment that integrates a fuzzy multi-objective evaluation scheme with the Equilibrium Optimizer (EO) and a Soft Actor-Critic (SAC)-based adaptive control mechanism. The proposed framework formulates MSA as a dynamic multi-objective optimization problem, in which alignment quality is assessed using complementary residue-level and column-level criteria, including Sum-of-Pairs score, column conservation, entropy, and gap statistics. Fuzzy membership functions are employed to harmonize competing objectives into a unified optimization landscape, while EO provides robust global exploration. To further enhance adaptability, SAC dynamically regulates key EO parameters during the search process, enabling an effective balance between exploration and exploitation across datasets of varying size and heterogeneity. Extensive experiments werew conducted on diverse biological sequence datasets, with a primary focus on RNA benchmarks, including structured families from Rfam, large-scale repositories from RNAcentral and GenBank, and organism-specific tRNA datasets from GtRNAdb. Comparative evaluations against classical alignment tools (ClustalW, MAFFT, MUSCLE, PRANK, KAlign, and T-Coffee), metaheuristic methods (SAGA, Sequoya and EAFSA), and a reinforcement learning-based approach (RLALIGN) demonstrate that MOFSACEO-MSA consistently achieves competitive or superior Sum-of-Pairs scores while significantly reducing gap proportions and maintaining compact alignment lengths. Notably, the proposed framework exhibits improved robustness on large and highly heterogeneous datasets, where existing methods often suffer from excessive gap insertion or unstable convergence. Overall, MOFSACEO-MSA provides a flexible and extensible optimization paradigm that effectively bridges evolutionary search and reinforcement learning for high-quality multiple sequence alignment, with demonstrated effectiveness on challenging RNA alignment tasks.

Sequence Alignment↗

PubMed2026

A Kansei-mediated protocol for transforming painting palettes into product aesthetics.

To address users' increasingly diverse aesthetic and emotional needs, this study develops an innovative product color design framework based on Kansei. The proposed method transfers color from paintings (source) to consumer products (target) using Kansei as an intermediary, thereby enhancing the affective quality of color and the perceived design value. The framework initiates with cluster analysis to extract color feature groups (CFGs) from paintings. Subsequently, product color genomes (PCGs) are constructed through functional and structural analysis. Following this, subjective evaluation quantifies Kansei for both CFGs and PCGs, identifying representative groups linked to specific Kansei words. Finally, a Kansei-mediated mapping bridges painting CFGs and PCGs to execute the transfer. Validated using Chinese paintings and a coffee machine, the method effectively transfers painting color schemes, enriches product design, improves color quality, and supports culturally adaptive design within international marketing strategies.

Aesthetic enhancement↗

PubMed2025

The Southern Hemisphere yeast frontier: from nature dwellers to accomplished fermenters.

Yeast biodiversity has been extensively investigated by wealthy countries of the Northern Hemisphere. In contrast, despite the widespread use of fermentation practices in the Southern Hemisphere, yeast diversity in this region remains largely underexplored. However, this trend is beginning to shift as several reports have started to document yeast populations both in the natural environment and in association with the fermentation of various substrates, including grape and apple juice, cocoa and coffee beans, grains, fruits, or tree sap. Numerous yeast species from the Southern Hemisphere have now been described and characterized, with whole-genome sequencing providing essential insights into the evolutionary history of wild yeast isolates from this region. This review highlights the emerging research on yeast biodiversity in the Southern Hemisphere and explores the application of diverse yeast species in the food and beverage industries.

Fermentation↗