Search Results (4,542)

Colorectal cancer (CRC) remains a leading cause of cancer-related morbidity and mortality, with substantial heterogeneity that is not fully explained by genetic alterations alone. Emerging evidence positions metabolic reprogramming as a central driver of tumor behavior, integrating glycolysis, mitochondrial function, lipid and amino acid metabolism, and autophagy into coordinated networks that extend beyond cancer cells to the tumor microenvironment. Tumor–immune metabolic competition and metabolite-mediated signaling shape immune responses, often promoting immunosuppression and resistance to immunotherapy, particularly in microsatellite-stable (MSS) CRC. Systemic factors, including obesity, insulin resistance, and the diet–microbiota axis, further modulate tumor metabolism and immune function, reinforcing disease progression. Metabolic biomarkers reflecting these multi-level interactions, spanning tumor-intrinsic pathways, immune contexture, and host metabolism, offer promising opportunities for improved patient stratification and therapeutic targeting, although clinical validation remains limited. Current treatments, including chemotherapy, targeted agents, and immune checkpoint inhibitors, are effective in selected subgroups but are constrained by resistance mechanisms. In this review, we propose an integrative immunometabolic framework in which tumor, immune, and systemic metabolic processes co-evolve, defining CRC progression and treatment response. Targeting this interconnected network through combinatorial and metabolism-oriented strategies may enable precision therapies, particularly for immunotherapy-resistant MSS CRC. Full article

Multiple sclerosis (MS) is a heterogeneous autoimmune disorder of the central nervous system of polygenic nature. Uncovering the genetic predictors of MS phenotype can help to explain the nature of the disease’s clinical heterogeneity, and contribute to the development of novel tools for precise disease prognosis. We conducted a retrospective genetic association study of 35 polymorphic variants in immune-related genes with MS severity assessed using the Multiple Sclerosis Severity Score (MSSS) in a sample of 548 Russian relapsing-onset MS patients who have not previously received immunomodulatory therapy. Variants in the CXCR5, EOMES, TNFRSF1A, IRF8, PVT1, CCR5, HLA-DRB1, IL6, TCF7, and CD40 genes were identified as MSSS-associated in at least two of the three models analyzed (MSSS > 3.5 versus ≤3.5; MSSS > 5.0 versus <2.5; MSSS as a continuous variable). Among them, variants in CCR5, HLA-DRB1 and IL6 genes were associated with MSSS only in women, while variants in the TCF7 and CD40 genes only in men. The variant in CXCR5 was MSSS-associated both in the total sample and in subgroups of female and male MS patients. Thus, we demonstrate that several GWAS-identified MS risk genes, along with other immunological loci, act as modifiers of the MS phenotype. Full article

Background/Objectives: Popcorn (Zea mays L. var. everta) is an important specialty maize type; however, the genetic variation underlying popping-related quality traits remains insufficiently characterized in breeding. Methods: In this study, 18 popcorn inbred lines were analyzed using 25 simple sequence repeat (SSR) markers distributed across all 10 maize chromosomes, and 16 lines were further evaluated for popping performance and image-based flake morphology. Results: Substantial phenotypic variation was observed among the tested lines, with expansion volume ranging from 173.33 to 343.33 mL and expandability ranging from 16.79- to 32.46-fold. Image-based analysis of 957 popped kernels revealed continuous variation in flake circularity, indicating that flake morphology represents a quantitative trait rather than a strictly discrete classification. SSR analysis detected 2 to 11 alleles per locus, with polymorphism information content values ranging from 0.05 to 0.85, indicating moderate-to-high genetic diversity among the tested lines. Principal component analysis (PCA), unweighted pair group method with arithmetic mean (UPGMA) clustering, and population structure analysis revealed clear genetic differentiation and heterogeneous genetic backgrounds within the germplasm collection. Marker–trait association analysis identified several putative SSR loci associated with expansion efficiency, flake morphology, pericarp retention, and popping dynamics. Notably, marker M18 was putatively associated with both expansion volume and expandability. Conclusions: Based on these results, a conceptual framework was proposed in which popping-related traits were organized into partially independent but interconnected functional modules. Overall, this study provides SSR-based genetic information for popcorn germplasm characterization and offers preliminary marker resources for quality-oriented popcorn breeding. Full article

Background: Gastrointestinal (GI) cancers, particularly colorectal, gastric, and liver cancers, account for a major global burden of incidence and mortality and remain important targets for genetic susceptibility research. Long non-coding RNAs (lncRNAs) can regulate gene expression and are increasingly studied in carcinogenesis. Numerous case–control studies have investigated associations between lncRNA polymorphisms and cancer risk, but findings are inconsistent. This study systematically evaluated the association between lncRNA single nucleotide polymorphisms (SNPs) and GI cancer susceptibility. Methods: A systematic literature search from Embase, Medline, Scopus, and Web of Science databases identified 174 potentially extractable studies. Eligible studies were case–control or cross-sectional studies published up to 8 May 2026; case reports, reviews, and meta-analyses were excluded. After screening for identical cancer type, identical SNP, and sufficient statistical data, only variants supported by at least three independent case–control studies were eligible for meta-analysis. Seven SNPs across six lncRNAs, comprising 23 studies (15,131 cases and 20,969 controls), were selected. Because of the limited number of eligible studies, subgroup analyses could not be performed consistently. Odds ratios (ORs) with 95% confidence intervals (CIs) were assessed under allelic, dominant, and recessive genetic models using fixed- or random-effects models according to heterogeneity. Results: In the primary analyses restricted to homogenous Chinese populations, H19 rs3024270 was significantly associated with hepatocellular carcinoma under allelic (OR = 1.22, 95% CI: 1.05–1.42, p = 0.01) and dominant models (OR = 1.22, 95% CI: 1.03–1.45, p = 0.02). Exploratory analyses including mixed populations identified additional associations, with the strongest observed for MEG3 rs7158663 and colorectal cancer, showing significant risk elevation under allelic (OR = 1.42, 95% CI: 1.25–1.63, p < 0.00001), dominant (OR = 1.42, 95% CI: 1.20–1.68, p < 0.0001), and recessive models (OR = 1.98, 95% CI: 1.46–2.68, p < 0.0001). PRNCR1 rs16901946 showed a significant association with gastric cancer under the dominant model (OR = 1.20, 95% CI: 1.02–1.41, p = 0.03), while GAS5 rs145204276 demonstrated a recessive-model association with gastric cancer (OR = 1.30, 95% CI: 1.16–1.46, p < 0.0001). In contrast, GAS5 rs145204276 in colorectal cancer; H19 rs2839698 and MALAT1 rs619586 in hepatocellular carcinoma yielded heterogeneous or unstable pooled estimates. Findings should be interpreted cautiously due to the limited number of studies, heterogeneity, and potential publication bias. Conclusions: Among the primary analyses, H19 rs3024270 showed the most consistent association with HCC susceptibility. Exploratory analyses identified candidate variants, including MEG3 rs7158663, PRNCR1 rs16901946, and GAS5 rs145204276. Population-specific effects and study heterogeneity remain important limitations. PROSPERO registration number for this study: CRD42023389742. Full article

Lipedema is a chronic adipose tissue disorder characterized by disproportionate and often painful enlargement of the extremities, occurring predominantly in women. Despite increasing clinical recognition, the underlying pathophysiology remains incompletely understood and is likely multifactorial. Existing evidence suggests contributions from vascular alterations, adipose tissue remodeling, inflammatory activation, hormonal influences, and lymphatic dysfunction. This review proposes a hypothesis-generating integrative framework in which lipedema may reflect a regenerative imbalance of subcutaneous adipose tissue. Within this model, genetically and hormonally modulated endothelial permeability could promote activation of perivascular adipose-derived stromal/stem-cell niches and stromal vascular fraction signaling pathways, thereby facilitating coupled angiogenesis and adipogenesis. Progressive adipocyte hyperplasia and hypertrophy may subsequently contribute to inflammatory remodeling, pain generation, and secondary impairment of dermal and subdermal lymphatic drainage. The proposed framework attempts to integrate clinical, histological, imaging, molecular, and endocrine observations into a biologically coherent conceptual model. At the same time, the review emphasizes the current limitations of the available evidence, the heterogeneity of lipedema phenotypes, and the ongoing controversies regarding disease progression, obesity overlap, and the relative role of lymphatic dysfunction. Finally, the potential mechanistic rationale of lymphatic-sparing liposuction is discussed in the context of tissue decompression, restoration of lymphatic transport, and interruption of persistent adipose remodeling. The model presented here should be interpreted as a hypothesis-generating conceptual scaffold requiring prospective validation. Importantly, the present framework should be interpreted as a biologically plausible and hypothesis-generating conceptual model rather than a definitive mechanistic doctrine. Several proposed interactions remain associative and require prospective biological validation. Full article

Deep excavation dewatering is an energy-intensive groundwater control process in underground engineering, especially under strong recharge and heterogeneous hydrogeological conditions. Conventional dewatering designs often rely on conservative pumping schemes to ensure the required drawdown, which may generate redundant groundwater extraction, unnecessary electricity consumption, additional carbon emissions, and excessive drawdown-induced settlement. To address this problem, this study develops a coupled improved genetic algorithm and MODFLOW optimization model, termed IGA-M, for dewatering well-group operation under engineering safety constraints. The purpose of the proposed model is not to reduce pumping arbitrarily, but to identify and eliminate redundant pumping while satisfying prescribed requirements for target water levels, settlement control, and hydraulic-gradient safety. Through the FloPy interface, the Improved Genetic Algorithm is dynamically linked with MODFLOW to establish a closed-loop simulation-optimization framework. In each optimization iteration, candidate well operation schemes are automatically transferred to MODFLOW, and the simulated hydraulic heads and settlement responses are returned to evaluate the objective function and safety constraints. In this framework, groundwater extraction, electricity consumption, carbon emissions, and land subsidence are treated as physically linked performance indicators of the optimized dewatering scheme. Validation using an idealized case shows that, under the same safety requirements, the IGA-M model reduces redundant hydraulic loading compared with the traditional uniformly distributed pumping method. By removing redundant pumping beyond the safety requirement, the optimized scheme reduced groundwater extraction by 62.7%, which was accompanied by a 44.9% decrease in both carbon emissions and comprehensive costs, as well as a 57.7% reduction in settlement at observation points. In a practical high-permeability deep excavation adjacent to the Yellow River, the model achieved well-group flow regulation under strong recharge conditions. Compared with the traditional scheme, it eliminated approximately 661,000 m³ of redundant groundwater extraction, corresponding to a 17.7% decrease, and consequently saved 26,800 kWh of electricity and reduced CO₂ emissions by nearly 16,000 kg during the dewatering period. These results demonstrate that the proposed IGA-M framework can transform MODFLOW from a post-design verification tool into an active optimization engine for dewatering design. It provides a physically based decision-support method for reducing redundant pumping and improving energy efficiency while maintaining engineering safety. Full article

As the primary peripheral relay station for vibrissal tactile information, the trigeminal ganglion (TG) features heterogeneous three-dimensional (3D) cytoarchitecture that eludes full characterization using conventional two-dimensional methodologies. A high-resolution 3D imaging and reconstruction pipeline is thus required to unveil TG structural organization and define the spatial framework of target-related sensory neurons. Herein, we established a fluorescence micro-optical sectioning tomography (fMOST)-based workflow for 3D cytoarchitectural mapping of TG anatomy and validated its utility for profiling the distributions of TG neurons innervating vibrissae via single-axon tracing. fMOST imaging coupled with propidium iodide (PI) staining was applied to acquire whole-head anatomical data encompassing the vibrissae and the TG at cellular resolution. Based on clearly resolved cellular morphology and the spatial distribution of neuronal somata, we delineated the soma distribution of TG neurons and revealed a spatially heterogeneous 3D organization pattern, from which we operationally defined two anatomically distinct subdomains: the neuronal soma-rich region (NSRR) and the fiber-rich region (FRR). Furthermore, with retrograde viral/genetic labeling combined with neuronal tracing, TG neurons innervating the C2, D3, and δ vibrissae were observed in both NSRR and FRR, showing partially overlapping yet spatially biased distributions consistent with previous population-level observations of vibrissa-row-dependent topography. Notably, TG neurons innervating the δ vibrissa occupied a comparatively broader spatial extent along the anteroposterior plane in our dataset. Overall, this study facilitates an in-depth mechanistic and anatomical understanding of TG cytoarchitectural organization and underlying functional mechanisms. Full article

Background/Objectives: Melophagus ovinus is an economically important ectoparasite of small ruminants with a broad global distribution. Although mitochondrial genomes are widely used in population genetic studies, the D-loop region of M. ovinus remains poorly characterized because its high AT content and repetitive structure complicate amplification, assembly, and sequencing. Methods: We sequenced the mitochondrial genome of M. ovinus collected from Qinghai using an integrative approach combining Illumina paired-end sequencing, targeted PCR amplification, and Nanopore long-read sequencing. Comparative genomic analysis was performed against published mitogenomes from Gansu (MH024396) and Xinjiang (NC_037368). Results: The Qinghai mitochondrial genome contained the typical 37 mitochondrial genes within a 14,728 bp conserved region. Comparative analysis revealed exceptionally high conservation (>99.6% sequence identity) among Qinghai, Gansu, and Xinjiang isolates outside the D-loop region. Notably, the D-loop exhibited length polymorphism, with different assembly strategies or samples yielding lengths ranging from 317 bp to 2385 bp. Targeted long-read sequencing of ten individuals identified a predominant D-loop variant of approximately 844 bp in nine samples and a markedly shorter variant of approximately 164 bp in one sample. The short variant was characterized by extensive deletions and a novel 45 bp insertion. Support for this variant was obtained from independent Illumina DNA-seq, RNA-seq, Nanopore sequencing, and de novo assembly analyses. Conclusions: This study provides preliminary evidence for D-loop structural heterogeneity in M. ovinus, suggesting remarkable length polymorphism and complex indel patterns that require further validation. These findings significantly expand the genomic resources available for this important veterinary parasite and establish a foundation for future population genetic and evolutionary studies. Full article

Acute myeloid leukemia (AML) is a genetically and clinically heterogeneous hematologic malignancy in which intensive induction chemotherapy remains the standard therapeutic platform for medically fit adults. In recent years, however, the frontline treatment paradigm has progressively evolved from a purely cytotoxic approach toward a biologically informed strategy. This shift has been driven by the identification of recurrent molecular alterations—particularly FLT3 and IDH1/2 mutations—as well as renewed interest in antibody-based therapies and the growing recognition that relapse, resistance, and measurable residual disease (MRD) are shaped by clonal architecture rather than blast burden alone. This review examines the development of targeted therapies combined with intensive chemotherapy in AML. We discuss the biological rationale for combination approaches and summarize the key clinical studies that have defined current practice, including trials evaluating FLT3 inhibitors, gemtuzumab ozogamicin, IDH inhibitors, and venetoclax-based strategies. We also address the role of targeted therapy across different treatment phases, including induction, consolidation, and post-remission settings, and analyze emerging data regarding MRD-guided treatment strategies, mechanisms of resistance, and integration with allogeneic hematopoietic stem cell transplantation. The integration of targeted agents with intensive chemotherapy is reshaping frontline AML therapy and represents a critical step toward precision medicine. While genotype-directed strategies—such as FLT3 inhibition—have already demonstrated survival benefit, optimal patient selection, treatment sequencing, and duration remain areas of active investigation. Future progress will likely depend on MRD-driven treatment adaptation, improved understanding of clonal evolution, and the development of rational multi-agent combinations capable of achieving deeper and more durable remissions. Full article

Background/Objectives: Acute lymphoblastic leukaemia (ALL) is a biologically heterogeneous disease in which transcriptional dysregulation contributes to disease onset and progression. Despite survival rates exceeding 90% in high-income countries, relapsed and high-risk cases remain a major clinical challenge, highlighting the need for improved molecular stratification, namely the classification of patients based on genetic and transcriptomic features associated with prognosis, therapeutic response, and disease biology, as well as for the identification of novel therapeutic targets. Methods: We performed an integrative cross-platform analysis to investigate the expression and potential relevance of three candidate genes: PXDN, TCF4, and TSPAN7 in ALL. Gene expression was interrogated across the MILE microarray cohort and the St. Jude Cloud PeCan paediatric RNA-sequencing dataset. Results: Differential expression analyses consistently showed significant upregulation of TCF4 and PXDN in B-cell ALL (B-ALL) across both platforms (adjusted p < 0.001), while TSPAN7 displayed higher expression in T-cell ALL (T-ALL) and variable upregulation in B-ALL. These findings were supported by preliminary validation using quantitative PCR in paediatric B-ALL samples. To explore potential functional associations, we performed gene regulatory network inference using scGraphVerse, identifying differentially expressed genes putatively linked to PXDN, TCF4, and TSPAN7. Structural modelling using AlphaFold suggested candidate protein–protein interaction interfaces for a subset of these genes, although these predictions require experimental validation. Functional enrichment analysis indicated an over-representation of developmental pathways associated with PXDN- and TCF4-related networks, whereas TSPAN7-associated genes were enriched in processes linked to neuronal lineage development. Conclusions: Collectively, our results identify, for the first time, PXDN, TCF4 and TSPAN7 as differentially expressed genes in ALL and highlight the usefulness of integrative transcriptomic analyses across independent datasets. While limited by small-scale experimental validation and reliance on computational predictions, this study provides a framework for prioritising candidate genes and generates testable hypotheses regarding their potential involvement in leukaemia-associated molecular pathways. Full article

Human ageing and longevity are increasingly understood as biologically integrated and heterogeneous processes shaped by interactions among genetic susceptibility, epigenetic remodelling, and environmental modulation. This narrative review examines these interconnections within a nutrigenomic framework, with particular emphasis on how inherited variation and epigenetic plasticity may influence responses to ageing-related interventions. A structured literature search was conducted in PubMed, Scopus, Web of Science, and Embase, focusing on English-language studies published during the last 10 years. The review was organized into three major domains: (i) genetic determinants of longevity, (ii) epigenetic mechanisms of ageing, and (iii) intervention-responsive pathways relevant to precision geroscience. Current evidence supports a polygenic model of longevity in which loci such as FOXO3 and APOE show the most consistent human associations, while telomere maintenance, insulin/IGF-1 and mTOR signalling, sirtuins, Klotho, inflammatory mediators, and DNA repair remain biologically important but variably supported at the variant level. Epigenetic mechanisms, including DNA methylation drift, epigenetic clocks, histone modifications, chromatin remodelling, heterochromatin loss, and non-coding RNA regulation, provide an environmentally responsive interface linking genetic background to ageing phenotypes. Nutritional, pharmacological, behavioural, and circadian interventions converge on overlapping molecular pathways involving AMPK, mTOR, FOXO, sirtuins, autophagy, mitochondrial maintenance, and inflammatory signalling, although human evidence remains heterogeneous and biomarker modulation should not be equated with clinically meaningful slowing of organismal ageing. Overall, this review highlights the value of integrating genetics, epigenetics, and intervention biology to support a more cautious and translationally relevant model of healthy ageing. It also underscores the need for precision nutrigeroscience approaches that account for tissue context, baseline physiology, and inter-individual molecular variability. Full article

Dietary emulsifiers, common in processed and ultra-processed foods, improve food texture and shelf life but may affect gut health by interacting with the microbiota and intestinal barrier. While emulsifiers have long been considered safe, growing evidence links their presence in ultra-processed foods to chronic disease risk. This review aims to evaluate the current understanding of the factors and mechanisms underlying individual differences in intestinal mucosal susceptibility to dietary emulsifiers. A search of PubMed and Embase through February 2026 identified eight relevant studies. Overall, the available evidence indicates a heterogeneous and highly individualized host response to dietary emulsifiers. These differences appear to be strongly influenced by the gut microbiota and its functional properties, while animal studies further suggest that host factors such as sex-related differences in microbial composition may also contribute to variability in response. Importantly, not all emulsifiers have the same effects, underscoring compound-specific impacts on gut physiology. The findings demonstrate that sensitivity to dietary emulsifiers varies substantially between individuals, challenging the long-standing assumption that these additives are universally safe. Given the multifactorial nature of this susceptibility, particularly the role of the gut microbiota, future research should adopt an integrative approach that combines microbial profiling with host genetics, immune responses, and early-life exposures. Such efforts will be essential to identify at-risk individuals and to inform more personalized dietary recommendations aimed at preserving intestinal health and reducing disease risk. Importantly, there is a clear need for larger, well-powered studies that can validate and expand upon these initial observations. Full article

Hepatoblastoma (HB), the most common pediatric liver cancer, exhibits marked variability in therapeutic response despite minimal genetic heterogeneity, implicating epigenetic regulation as a key driver of tumor behavior. Among these, polycomb repressor complexes (PRC) remain poorly explored as therapeutic targets. Integrative analysis of samples from patients with HB and public datasets identified BMI1, a core component of PRC1, as significantly upregulated, with high expression strongly associated with aggressive disease and poor survival. Functional screening of epigenetic inhibitors across 15 HB cell lines revealed BMI1 inhibition as the most effective therapeutic strategy, with strong concordance between in vitro predictions and in vivo responses in patient-derived xenograft (PDX) models. The BMI1 inhibitor PTC596 demonstrated the highest potency, consistently suppressing tumor growth across models. Mechanistically, PTC596 induced BMI1 degradation, reduced histone H2A ubiquitination, impaired microtubule dynamics, and restored intrinsic apoptosis by shifting the BCL2–BAX balance, leading to caspase-3/7 activation. Transcriptomic profiling confirmed apoptosis as the most significantly enriched pathway. In vivo, PTC596 markedly reduced tumor burden and proliferation while inducing pro-apoptotic signaling, without detectable toxicity. Together, these findings establish BMI1 as a critical oncogenic dependency in HB, demonstrate the value of robust preclinical tumor modeling for therapeutic validation, and identify PTC596 as a promising, mechanism-based treatment strategy. Full article

Background/Objectives: Malignant transformation of soft tissue lesions is uncommon but represents a significant diagnostic challenge with substantial clinical consequences. This spectrum encompasses four interrelated processes but biologically distinct processes: (1) true malignant transformation of benign lesions; (2) dedifferentiation of low-grade or intermediate malignancies; (3) secondary malignancy arising in chronic inflammatory or non-neoplastic conditions; and (4) apparent progression related to tumor heterogeneity and sampling error. Although these four entities involve biologically distinct mechanisms, they are grouped under “malignant progression” for conceptual clarity. While this umbrella approach has limitations due to biological heterogeneity, this unified radiologic framework aims to supplement, rather than oversimplify, their distinct biological behaviors. Representative examples include neurofibroma and epidermal inclusion cyst among benign lesions; atypical lipomatous tumor/well-differentiated liposarcoma, dermatofibrosarcoma protuberans, and solitary fibrous tumor among lesions showing dedifferentiation or malignant progression; and chronic inflammatory or scar-related conditions and previously irradiated tissue associated with secondary malignancy. Some lesions that appear to progress during follow-up may represent initial underdiagnosis rather than true biologic progression. Methods: This narrative review summarizes current imaging features, underlying pathologic mechanisms, and clinical risk factors associated with these processes in soft tissue lesions. Particular emphasis is placed on radiologic–pathologic correlation and conditions prone to histopathologic misinterpretation. Results: Imaging red flags—including interval or rapid growth, deep fascial invasion, heterogeneous enhancement, perilesional edema, and necrosis—should raise concern for malignant progression across these categories. However, overlapping imaging features and sampling errors may result in pathologic misdiagnosis and delayed treatment. Particularly, atypical lipomatous tumors are frequently misdiagnosed as simple lipomas, while fibrosarcomas may be erroneously interpreted as aggressive fibromatosis. Advanced imaging and multidisciplinary review may help reduce diagnostic errors. Patients with predisposing factors such as genetic syndromes, chronic inflammation, prior burns, or previous radiation exposure warrant close surveillance. Conclusions: Accurate diagnosis of soft tissue lesions with true malignant transformation, dedifferentiation, or secondary malignancy—as well as recognition of diagnostic pitfalls—is essential for appropriate management. Integrated radiologic–pathologic assessment may help improve diagnostic accuracy and clinical decision-making in soft tissue oncology. Full article