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PubMed2026

Detection and antimicrobial susceptibility patterns of Salmonella enterica subsp. arizonae and Proteus spp. associated with gastrointestinal disease in rescued hedgehogs (Erinaceus europaeus).

Western European hedgehogs (Erinaceus europaeus) are frequently admitted to wildlife rehabilitation centres, where infectious diseases may affect recovery and raise One Health concerns. This study aimed to identify bacterial isolates recovered from hedgehog samples submitted for suspected gastrointestinal infection and to characterise their antimicrobial susceptibility profiles. Five bacterial isolates were analysed using the MicroScan WalkAway Plus® system with the Neg-Urine-Combo 98 panel, and the results were interpreted in accordance with EUCAST guidelines. The identified bacteria included one isolate of Salmonella enterica subsp. arizonae, three isolates of Proteus mirabilis and one isolate of Proteus penneri. The Salmonella enterica subsp. arizonae isolate was susceptible to all antimicrobials for which a valid result was obtained. Proteus spp. isolates were susceptible to cefotaxime, nalidixic acid, ciprofloxacin, levofloxacin, norfloxacin, amikacin, gentamicin, tobramycin, aztreonam, cefoxitin, ceftazidime and fosfomycin. However, resistance was observed to amoxicillin-clavulanic acid, ampicillin, ertapenem, meropenem, trimethoprim-sulfamethoxazole, cefuroxime, piperacillin-tazobactam, colistin and nitrofurantoin, with the latter two showing resistance in all Proteus spp. The Proteus penneri isolate displayed the broadest resistance profile, including resistance to several β-lactams, carbapenems. As expected, all Proteus spp. showed intrinsic non-susceptibility to colistin and nitrofurantoin. Although the Salmonella enterica subsp. arizonae isolate was susceptible to the tested agents, Proteus spp. from hedgehog samples may display relevant antimicrobial resistance (AMR) patterns. Therefore, continuous bacteriological monitoring and antimicrobial susceptibility testing are important in wildlife rehabilitation settings to guide treatment decisions and support One Health surveillance.

Antimicrobial resistance↗
PubMed2026

Predicting risk of ischemic stroke: A transformer model using genomic data.

BACKGROUND AND OBJECTIVE: Ischemic stroke is a leading cause of mortality and long-term disability worldwide. Genetic factors contribute to IS susceptibility, yet conventional polygenic risk score approaches are primarily based on additive effects and may not fully capture non-linear relationships or positional context and interactions among genetic variants. This study aimed to develop and evaluate a transformer-based genomic model incorporating position-wise genotype embedding for IS risk prediction. METHODS: We conducted a genome-wide association study using the UK Biobank dataset to identify IS-associated loci. Gene prioritisation was subsequently performed using tissue-specific expression quantitative trait locus-based Mendelian randomisation and colocalization analyses in whole blood and brain cortex. We then developed a transformer-based model that encoded genotype and SNP-position information using a position-wise embedding layer. Model performance was evaluated across three UK Biobank control definitions and externally assessed in the independent All of Us cohort. Performance metrics included the area under the receiver operating characteristic curve (AUROC), precision, recall, and F1 score. RESULTS: Across the three UK Biobank control definitions, the proposed method achieved the numerically highest discrimination among the evaluated models, with AUROCs of 0.8109, 0.7843, and 0.7468 using MRF-negative, combined, and MRF-positive controls, respectively. In the external All of Us cohort, the proposed method achieved an AUROC of 0.7251 and retained the highest AUROC among the evaluated models. In a separate incident-stroke survival analysis, medium- and high-score groups had hazard ratios of 1.13 and 1.21, respectively, relative to the low-score group. A total of 18 IS-associated loci were identified. Among the tissue-specific MR results, EDEM2 in the brain cortex remained significant after Bonferroni correction, while DCHS2 showed a nominal association. CONCLUSIONS: The proposed transformer-based framework provides a genomic modelling approach that achieved the highest discrimination among the evaluated models in this study and retained comparative performance in an independent external cohort. In further applications, integrating this genomic framework with conventional clinical, lifestyle, and environmental risk factors may support more comprehensive and personalised IS risk assessment. Prospective, population-representative, and multi-ancestry validation will be important to establish its potential role in future prevention-oriented risk management.

Genomics and bioinformatics↗
PubMed2026

Uncovering hub genes and key pathways responsive to drought stress in rice via meta-analysis of transcriptomic data.

Drought stress presents a formidable threat to global rice cultivation, triggering complex molecular responses that impact plant growth and productivity. To decipher the underlying gene expression dynamics, we performed a comprehensive meta-analysis of transcriptomic datasets derived from drought-tolerant rice genotypes. Via microarray data from three independent studies, we identified a set of consistently expressed differentially expressed genes (DEGs) under drought conditions. Integration of functional annotation tools, including GO and KEGG pathway enrichment, revealed key biological processes and signaling cascades involved in stress mitigation, such as ABA signaling, protein folding, and photosynthesis suppression. Protein-protein interaction (PPI) network construction, followed by hub gene identification via maximal clique centrality (MCC), highlighted pivotal regulators including LEA proteins, dehydrins, HSP70, and several transcription factors. Machine learning approaches further prioritize potential biomarkers, with Random Forest models achieving high classification accuracy and pinpointing key predictive genes. Chromosomal localization analysis provided spatial insights into the distribution of these hub genes, whose expression patterns were further compared against qRT-PCR data from previously published studies. This integrative approach identifies candidate genomic markers and mechanistic insights that may support future breeding strategies for drought-tolerant rice, pending experimental validation.

Cytoscape↗
PubMed2026

Predictive biomarkers in cancer immunotherapy for genitourinary malignancies.

Immunotherapy has transformed the management of genitourinary cancers, offering durable responses in selected patient groups. However, the clinical benefit of immune checkpoint inhibitors varies significantly across renal cell carcinoma, urothelial carcinoma, and prostate cancer, underscoring the need for reliable predictive biomarkers. This review summarizes current knowledge on established and emerging biomarkers, including PD L1 expression, tumor mutational burden, molecular subtypes, genomic alterations, tumor microenvironment characteristics, circulating biomarkers, microbiome influences, and multi omic integrative approaches. We discuss their potential clinical relevance, limitations, and applicability across different tumor types. Future directions emphasize the development of composite biomarkers, standardization of testing platforms, real time monitoring strategies, and the integration of advanced technologies such as artificial intelligence and spatial profiling. Understanding and validating these biomarkers will be essential for optimizing personalized immunotherapy in genitourinary cancers.

Circulating tumor DNA↗
PubMed2026

Multimodal alignment improves generalizability of genomic biomarker prediction in computational pathology.

Computational pathology models that use digitized histopathology whole-slide images have the potential to become a cost-effective and scalable alternative to molecular assays for the prediction of genomic biomarkers, a key task in precision oncology. However, as new genomic biomarkers are discovered or quantified, large, labeled datasets must be prospectively collected to train new models. To address this challenge, we developed multimodal alignment for biomarker learning and generalization (MARBLE), a multimodal contrastive pretraining strategy that integrates structured biomarker knowledge into representation learning of histopathology images. MARBLE aligns histopathology-derived representations with representations of genomic biomarkers generated by a large language model (LLM) and a protein language model (PLM). This biologically informed alignment enables data-efficient generalization to novel, out-of-distribution biomarkers. Using the MSK-IMPACT cohort of over 40,000 patients across multiple biomarker panel versions, we design experiments grounded in real-world data to demonstrate the value of our proposed approach.

CP: computational biology↗
PubMed2026

Tracing the evolution and diversity of human parvovirus B19 across human history.

Human parvovirus B19 (B19V) is an ubiquitously spread, exclusively human pathogen, mainly posing risks to children, as well as pregnant and immunocompromised individuals. Despite evidence of B19V infection of human populations as far back as 7,000 years, the evolutionary history of B19V remains poorly understood. In this study, we present B19V genomic data from the remains of 53 globally distributed individuals spanning more than 8,000 years, including 7 children. Our findings suggest that the most recent common ancestor of all present B19V lineages existed around 12,000 years ago, at the end of the last Ice Age. Additionally, we identified an extinct Eurasian clade that participated in the recombination event that led to the emergence of B19V genotype 2 (GT-2). We date this event to ∼3,200-1,800 BP, potentially in the greater Mediterranean area. Our study shows aspects of how ancient parvovirus variants arose, disseminated, and impacted human health through time.

ancient DNA↗
PubMed2026

Liquid biopsy: a new window on the BRCA genes.

The Breast Cancer Susceptibility Gene (BRCA)-associated tumors represent a constantly evolving and intriguing scenario in oncology, in which the availability of novel systemic treatment, mainly including the poly (ADP-ribose) polymerase (PARP) inhibitors, has enabled an improved survival benefit in clinical subgroups. The expanding regulatory approvals of PARP inhibitors have inevitably reshaped the clinical indications for BRCA testing, moving the BRCA1/2 profiling from the traditional and preventive workflows to therapeutic paths. Despite advances in technology and treatment, substantial limitations remain in current genetic and genomic tools for the detection of deleterious BRCA1/2 variants. Germline and tumor tissue testing provide only a snapshot of a patient's disease, failing to capture the dynamic and longitudinal aspects of tumor clonal evolution. In this scenario, liquid biopsy (LB) profiling of BRCA1/2 genes, primarily as circulating tumor DNA, represents a highly active area of research potentially affecting many aspects of cancer screening, diagnosis, and monitoring in individuals who are carriers of BRCA1/2 deleterious variants. Beyond the attractive potential to surrogate the tumor tissue testing, to overcome the cancer spatial and temporal heterogeneity, and to monitor the tumor mutational profile over time, accurately detecting all clinically relevant BRCA genetic variants and epigenetic modifications using LB remains technically challenging.

BRCA1/2↗
PubMed2026

Precision UV-B irradiation for flavonoid biofortification in indoor-cultivated Morus nigra: Integrated multi-omics and molecular docking insights.

Precision application of UV irradiation represents an effective strategy for improving the quality of functional food crops under controlled environmental conditions. Morus nigra serves as a significant functional food resource in Xinjiang, with its leaves being rich in diverse bioactive compounds with nutritional and health-promoting properties. In this study, a low-dose UV-B treatment regimen was developed to enhance flavonoids in indoor-cultivated M. nigra without growth penalty. Multi-omics revealed a hormone shift (suppressed auxin vs. activated JA signaling). This triggered transcriptional reprogramming of PAL/4CL and CHS/CYP75B1, redirecting carbon flux towards flavonoid biosynthesis. Transient overexpression of MYB, NAC, and TIFY variants validated this regulatory network. The UV-B-induced NAC upregulated key genes and flavonoids, while different TIFY members showed diverse regulatory effects. Molecular docking predicted that the induced flavonoids had hypoglycemic, antioxidant, and anti-browning potential. This study indicates targeted UV-B as a green biofortification strategy for high-value crops in controlled environments.

Flavonoid biosynthesis↗
PubMed2026

Detection rate of pathogenic variants by postmortem genetic testing for sudden cardiac death among children and young adults: systematic review and meta-analysis.

PURPOSE: Postmortem genetic testing (PMGT) can clarify the causes of sudden cardiac death (SCD) in children and young adults and provide preventive care for relatives. We systematically reviewed studies to estimate the detection rate of pathogenic variants identified by PMGT in SCD cases aged 1-50 years and examined factors influencing detection rates. METHODS: Ovid MEDLINE and Ovid Embase were searched for observational studies on PMGT in cases of SCD, records in duplicate were screened, and study- and variant-level data were extracted. Risk of bias was assessed using the Joanna Briggs Institute checklist. The pooled detection rates were estimated using random-effects meta-analysis, and heterogeneity was explored based on subgroup and meta-regression analyses. RESULTS: Sixty-six studies (4,452 cases from 23 countries) were included. The pooled detection rate was 19% (95% confidence interval, 15% to 24%). Among the detected pathogenic variants, 76% were found in genes included on the ACMG Secondary Findings list. Higher detection rates were associated with earlier publication years, lower mean age, and lower risk of bias. Substantial between-study heterogeneity persisted (I2 = 91%) despite the subgroup and meta-regression analyses. CONCLUSION: PMGT can be used to identify pathogenic variants in young SCD cases, however, there is considerable heterogeneity in study conditions.

Forensic genetics↗
PubMed2026

Evaluating the pathogenic significance of unique chromosomal variants in craniosynostosis using patient-derived induced pluripotent stem cells and mouse modelling.

PURPOSE: Unravelling causal links between unique structural/copy-number variants (SV/CNV) and associated phenotypes is essential for correct genetic counselling. We investigated two families in which patients with craniosynostosis had SV/CNV potentially dysregulating a fibroblast growth factor (FGF)-encoding gene; a 730 kb dup(4)(q21.21) including FGF5; and a complex 568 kb interspersed 13q12.11 duplication, located 841 kb from FGF9. METHODS: We combined bioinformatic predictions of altered topologically-associating domain (TAD) structure, with experimental analysis (RNA- and ATAC- [assay for transposase-accessible chromatin] sequencing) of patient induced pluripotent stem cell lines (iPSCs) differentiated to neural crest (NCC) and osteoprogenitor (OPC) identities. For the dup(4)(q21.21) we generated a mouse bearing an equivalent rearrangement using CRISPR-Cas9 targeting. RESULTS: TAD analysis suggested potential dysregulation of the FGF5/FGF9 gene by bringing it into a novel genomic milieu. The RNA- and ATAC-seq assays demonstrated FGF5/FGF9 upregulation (2.7-18x) and local opening of chromatin, in 3/4 cell lines. For the dup(4)(q21.21), a causal role was supported by the mouse model, whereas interpretation of the 13q12.11 SV is confounded by a co-existing FOXP2 pathogenic variant. CONCLUSION: Patient iPSC-differentiated NCC and OPC lines, combined with TAD-based modelling to generate testable functional hypotheses, provide valuable functional evidence when evaluating causation of unique SV/CNV in craniosynostosis.

copy-number variant↗
PubMed2026

Comparative analysis of lipopolysaccharide lipid A structure and its biosynthetic genes in the plant-associated bacteria Brucella cytisi and Brucella lupini.

The genus Brucella comprises important human and animal pathogens, as well as numerous environmental and symbiotic species. Lipopolysaccharide (LPS), a major component of the outer membrane of Gram-negative bacteria, plays a crucial role in bacterial physiology and host interactions. In this study, the structures of lipid A, the hydrophobic anchor of lipopolysaccharide, isolated from two plant-associated strains, Brucella cytisi ESC1ᵀ and Brucella lupini LUP21ᵀ, were presented. Lipid A preparations were structurally characterized using chemical methods, MALDI-TOF mass spectrometry, and nuclear magnetic resonance spectroscopy. The obtained results indicated that both lipid A molecules have almost identical structures. Their sugar backbones consist exclusively of 2,3-diamino-2,3-dideoxy-d-glucose (d-GlcpN3N). Phosphate residues were connected to distal and proximal GlcpN3N in approximately half of the lipid A molecules. Fatty acid analysis revealed the presence of C14:0 (3-OH), C16:0 (3-OH), and traces of C18:0 (3-OH). All of these were primary fatty substituents of the sugar backbone and were amide-linked residues. Lactobacillic acid C19:0cyc and 27-hydroxyoctacosanoic acid (C28:0 (27-OH)) were found as ester-linked secondary acyl residues. In turn, C28:0 (27-OH) was partly esterified by a 3-hydroxybutyroyl residue. Two unsubstituted 3-hydroxyfatty acids were linked exclusively to the proximal d-GlcpN3N residue. It was pointed out that sequences of putative genes encoding enzymes required for lipid A biosynthesis and genes encoding specific enzymes involved in structural modifications of lipid A occurring in the genomes of both bacterial species are almost identical. The high sequence similarity of these proteins reflects the observed similarities in the lipid A structures in both investigated Brucella species.

Brucella↗
PubMed2026

Mapping Wastewater Pathogens and Their Associated Environmental and Public Health Risk Factors: A Systematic Review and Meta-Analysis.

BACKGROUND: Wastewater-based epidemiology (WBE) has emerged as a critical tool for public health surveillance, yet its application across diverse pathogens and geographical settings remains inconsistent. This systematic review synthesizes global evidence on wastewater surveillance to identify associated risk factors. METHODS: Following PRISMA 2020 guidelines (PROSPERO: CRD420261297382), a systematic search was conducted across PubMed, Scopus, Google Scholar, and Web of Science for studies published between 2000 and 2025. RESULTS: Thirty-nine peer-reviewed studies were included. The evidence base is geographically skewed toward the European Region (48.7%) and the Americas (23.1%), with significant underrepresentation in LMICs. Viruses were the primary biological target (89.7%), followed by bacteria (7.7%) and parasites (2.6%). A proportion meta-analysis of 31 eligible studies demonstrated a pooled wastewater pathogen detection prevalence of 62% (95% CI: 47.5-74.6%), with the European Region yielding the highest regional estimate (73%) and the African Region the lowest (8.3%). Conventional PCR and sequencing methods showed higher pooled detection rates (92.4% and 90.1%, respectively) than RT-qPCR (47.9%). CONCLUSION: WBE provides a robust early-warning system indicating a need for broader pathogen diversity, incorporating bacterial and parasitic surveillance and expansion into rural and resource-limited regions.

Contamination↗
PubMed2026

Enhanced CRISPR-Cas3-mediated genome editing using circularized crRNAs.

Type I-E CRISPR-Cas3 represents a genome-editing technology in which large deletions averaging several kilobases are introduced in target regions. However, its genome-editing efficiency varies considerably across targets and cell types, making it difficult to achieve consistent results. Here, we investigated the efficacy and stability of circularized CRISPR RNAs (ccrRNAs) to enhance CRISPR-Cas3-mediated genome editing in human cells. Using in vitro single-strand DNA cleavage assays, we demonstrated that ccrRNA induces Cascade complex formation. Significant genome-editing activity targeting the EMX1 and B2M genes was observed in cellular assays using K562 cells. Long-read sequencing identified large-scale deletion mutations at the target loci and no detectable off-target effects using ccrRNA. Furthermore, ccrRNAs exhibited extended intracellular stability compared with that for linear crRNAs, resulting in an enhanced editing efficiency. These results demonstrate that ccrRNAs enable stable, efficient, and highly specific genome editing and support the broader application of the long-range deletion system.

CRISPR-Cas3↗
PubMed2026

Genetic Determinants of Early Heart Failure in Hypoplastic Left Heart Syndrome: A Prospective NC-DEFINE Study.

BACKGROUND: Survivors of hypoplastic left heart syndrome (HLHS), the most severe form of congenital heart disease, are at high risk for heart failure (HF). HF in early life is a major contributor to mortality in this vulnerable population. However, reliable approaches to identify infants at highest risk for early HF are currently lacking. OBJECTIVES: The purpose of this study was to evaluate whether ultra-rare variants in cardiomyopathy-associated genes are associated with HF risk in HLHS. METHODS: Neonates with HLHS were prospectively enrolled within the first 21 days of life at Duke University Health System. Children and adults with HLHS who were older than 21 days were enrolled from Duke University Health System and the University of North Carolina into an ambispective cohort. External HLHS cohorts from Nationwide Children's Hospital and Vanderbilt University Medical Center were evaluated to assess for reproducibility across institutions. Participants underwent genome sequencing, and ultra-rare variants in dilated cardiomyopathy-associated genes (minor allele frequency &#x2264;0.01%) were evaluated. The primary outcome was HF, categorized as severe (ventricular assist device implantation, heart transplantation, or death) or medically managed (reduced systemic ventricular ejection fraction and/or HF diagnosis requiring initiation or escalation of HF therapy). Associations between variant status and HF risk were assessed using Cox regression. RESULTS: Among 35 neonates in the prospective cohort, 7 (20.0%) developed severe HF, 10 (28.6%) developed medically managed HF, and 18 (51.4%) remained HF free. The presence of a likely pathogenic/pathogenic variant was associated with a marked 9-fold increased risk of severe HF compared with genotype-negative individuals (P = 0.02). Most severe HF events occurred within the first month of life (67%). Similar associations between likely pathogenic/pathogenic variants and severe HF were observed in the Nationwide Children's Hospital and Vanderbilt University Medical Center cohorts (11- and 3-fold increased risk, respectively; all P < 0.05). Associations were attenuated in the ambispective cohort (all P > 0.05), which consisted of individuals significantly older than the prospective cohort (P < 0.0001). CONCLUSIONS: This study provides the first prospective evidence linking dilated cardiomyopathy-associated variants to early-onset HF in HLHS. These findings suggest that genetic variation may contribute to myocardial vulnerability in HLHS, highlighting the potential for genetic screening to enable early risk stratification and guide precision medicine approaches in this high-risk population.

Humans↗
PubMed2026

Multiscale Modeling Primer: Focus on Chromatin and Epigenetics.

A central challenge in modern biology is to understand how molecular interactions produce cellular and organismal functions across vast spatiotemporal scales. Nowhere is this challenge more apparent than in the study of chromatin, where meters of DNA compact into a micron-sized nucleus. How this polymer folds is a dynamic process, regulated by epigenetic modifications-chemical changes to DNA and histones that involve only a handful of atoms. These small changes cooperate to produce emergent, higher-order structures that define cellular identity and function. To explain this system, we must integrate static, high-resolution snapshots from techniques like cryo-EM with dynamic, lower-resolution data from microscopy and genomics. Multiscale computational models are essential tools that bridge these experimental gaps and reveal the mechanisms of emergent behavior. However, the communication divide between experimental biologists and quantitative modelers often hampers progress. This primer addresses that gap. It first introduces the fundamental biology of chromatin and epigenetics at an introductory level for non-biologists audiences. We then survey the landscape of computational approaches, from atomistic to systems-level models, and connect them to the experimental data that inform and validate them at an introductory level for non-computationalists. We argue that the next frontier will require us to build integrative models that can predict how molecular perturbations mechanistically alter cellular phenotypes, which will open a new era of chromatin-targeted therapeutics.

Chromatin Dynamics↗
PubMed2026

Pathway incompatibility between NF-&#x3ba;B and RAS signaling constrains oncogenicity in B-cell leukemia.

Oncogenic pathways do not always cooperate; in some contexts, their co-activation is antagonistic and suppresses tumorigenesis, a phenomenon we termed pathway incompatibility. However, the mechanisms underlying this antagonism and the role of receptor context in shaping these interactions remain unclear. During normal B-cell development, precursor B-cell receptor (pre-BCR) signaling supports survival and proliferation of early B-cell precursors before transition to expression of the mature B-cell receptor (BCR). B-cell acute lymphoblastic leukemia (B-ALL), the most common childhood cancer, is characterized by developmental arrest prior to BCR expression, and approximately 35% of cases harbor activating RAS-ERK mutations that mimic pre-BCR-dependent survival signaling. NF-&#x3ba;B plays context-dependent roles in B-cell malignancies, but whether it influences the compatibility between oncogenic RAS signaling and BCR expression remains poorly understood. Activation of canonical NF-&#x3ba;B induced apoptotic depletion of RAS-driven B-ALL cells. Mechanistically, NF-&#x3ba;B suppressed pre-BCR-dependent survival signaling while promoting expression of BCR components. Consistent with this shift, oncogenic RAS signaling was poorly tolerated in BCR-positive cells unless BCR expression was disrupted. Pharmacologic activation of NF-&#x3ba;B reduced ERK signaling and selectively impaired viability of RAS-driven B-ALL cells, with enhanced effects in combination with ERK inhibition. Together, these findings show that canonical NF-&#x3ba;B signaling promotes BCR expression, which constrains oncogenic RAS activity, and establish pathway incompatibility as a mechanism through which receptor context can limit oncogenic potential.

Cancer biology↗
PubMed2026

Siglec-7 orchestrates mitochondrial dynamics and metabolic reprogramming to restrain human NK cell cytotoxic function.

Natural killer (NK) cells are innate lymphocytes that directly eliminate tumor and virus-infected cells by integrating signals from activating and inhibitory receptors, and their effector functions are tightly coupled to cellular metabolism. Given that the inhibitory receptor PD-1 reprograms T cell metabolism to shape functional fate, the bioenergetic consequences of inhibitory receptor engagement on human NK cells remain largely unexplored, particularly for sialic acid-binding immunoglobulin-like lectin (Siglec-7), a glyco-immune checkpoint receptor. Here, we investigated metabolic programs and effector functions associated with Siglec-7 expression and antibody-mediated Siglec-7 ligation in primary NK cells and NK-92MI cells. Siglec-7POS NK cells exhibited selectively impaired CD107a degranulation under glycolytic and oxidative phosphorylation inhibition, whereas Siglec-7NEG cells remained relatively resistant, indicating distinct energetic wiring between these subsets. Engagement of Siglec-7 by an agonistic antibody induced mitochondrial fission with altered Drp1 phosphorylation, transient mitochondrial depolarization, and broadly suppressed mitochondrial respiration, while concurrently enhancing glycolytic capacity, consistent with a dual metabolic shift upon Siglec-7 ligation. In contrast, sustained Siglec-7 expression in NK-92MI-S cells was associated with globally enhanced mitochondrial respiratory capacity, indicating that sustained Siglec-7 expression and short-term treatment with an agonistic anti-Siglec-7 antibody were associated with distinct metabolic profiles in NK cells. Furthermore, Siglec-7POS NK cells showed increased accumulation of autophagic vacuole, reduced proliferation, and heightened apoptotic susceptibility compared with Siglec-7NEG counterparts. Collectively, these findings support an association between Siglec-7 status, mitochondrial homeostasis, and metabolic fitness in NK cells, with Siglec-7NEG cells retaining a metabolically robust, cytotoxic phenotype.

Journal Article↗