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At least 19 recordsLinked to original sources
PubMed2024

Genetic characterization and selection of litter size traits of Guizhou Black goat and Meigu goat.

The aim of this study is to explore the genetic characteristics of Guizhou Black goats and Meigu goats and their relationship to reproductive performance through population structure analysis, genetic diversity assessment, and selection signal analysis. Blood samples of 19 Guizhou Black goats and 11 Meigu goats were collected for whole-genome high-throughput sequencing. Using PCA and ADMIXTURE analyses, their population structure and genetic relationships were revealed. Further genetic diversity analysis showed that although there is significant population differentiation, the levels of genetic diversity are similar. Subsequently, these goats were categorized into high-yield and low-yield groups based on their litter sizes, with 15 goats in each group. Then, a selection signal analysis was performed using FST and π ratios for 33,563 SNP loci. The results identified six candidate genes, including KCNIP4, GFRA2, and DGKH, which are significantly associated with high litter performance. These findings enhanced our understanding of the genetic characteristics and population structure of Guizhou Black goats and Meigu goats. Moreover, they provide an important theoretical foundation and scientific basis for further breeding improvements.

Animals↗
PubMed2025

Landscape genomics analysis reveals the genetic basis underlying cashmere goats and dairy goats adaptation to frigid environments.

Understanding the genetic mechanism of cold adaptation in cashmere goats and dairy goats is very important to improve their production performance. The purpose of this study was to comprehensively analyze the genetic basis of goat adaptation to cold environments, clarify the impact of environmental factors on genome diversity, and lay the foundation for breeding goat breeds to adapt to climate change. A total of 240 dairy goats were subjected to genome resequencing, and the whole genome sequencing data of 57 individuals from 6 published breeds were incorporated. By integrating multiple approaches such as phylogenetic analysis, population structure analysis, gene flow and population history exploration, selection signal analysis, and genome-environment association analysis, an in-depth investigation was carried out. Phylogenetic analysis unraveled the genetic relationships and differentiation patterns among dairy goats and other goat breeds. Through signal analysis (θπ, FST, XP-CLR), we identified numerous candidate genes associated with cold adaptation in dairy goats (STRIP1, ALX3, HTR4, NTRK2, MRPL11, PELI3, DPP3, BBS1) and cashmere goats (MED12L, MARC2, MARC1, DSG3, C6H4orf22, CHD7, MYPN, KIAA0825, MITF). Genome-environment association (GEA) analysis confirmed the link between these genes and environmental factors. Moreover, a detailed analysis of the critical genes C6H4orf22 and STRIP1 demonstrated their significant roles in the geographical variations of cold adaptation and allele frequency differences among different breeds. This study contributes to understanding the genetic basis of cold adaptation, providing crucial theoretical support for precision breeding programs aimed at improving production performance in cold regions by leveraging adaptive alleles, thereby ensuring sustainable animal husbandry.

Environmental adaptation↗
PubMed1979

Perceptual origins of the phoneme boundary effect and selective adaptation to speech: a signal detection theory analysis.

Differences in discriminability of stimuli near phoneme boundaries and findings from selective adaptation have been used to argue for the existence of neurophysiological mechanisms--feature detectors--which mediate the perception of speech and speechlike sounds. A detection theory model was used in order to discover whether or not the phoneme boundary effect and the shift in phoneme boundary after adaptation might rather be attributable to changes in response bias. This model was applied in the analysis of phoneme identifications of three sets of stimuli before and after adaptation. While the origins for the phoneme boundary effect appear to lie below the level of response bias, findings suggest that identification changes after adaptation may be due solely to shifts in criterion, rather than changes at the sensory level.

Adult↗
PubMed1979

Destruction of noise in biotelemetry.

The difference in statistical characteristics between physiological signals and noise creates the possibility of designing a selective circuit to separate signals from noise. Analysis shows that by an extremely low signal-to-noise ratio before the pulse conditioner in a biotelemetry system, the mixture of normal and spurious pulses are present at the demodulator input. The system of noise destruction analyzes the sequential distances between two following pulses and blanks all spurious pulses using the criteria of high autocorrelation of physiological signals in short intervals. Evaluation of the circuit demonstrates a dramatic increase in accuracy in the presence of strong interference because the system of noise destruction performs a linear extrapolation of free-of-noise parts of pulse flow into destroyed spaces. The equations to calculate selective thresholds and output errors are delineated. The noise destructor is especially useful in long-term monitoring and automatic data analysis because it prevents a formation of sharp noisy spikes at the biotelemetry system's output.

Biomedical Engineering↗
PubMed1979

Complete assignment of carbon signals in a stereospecific peptide via selective and single off-resonance proton decoupling experiments. Analysis of the carbon-13 nuclear magnetic resonance spectrum of alumichrome at 67.88 MHz.

Polypeptides and proteins in native conformation exhibit 13C NMR spectra which are highly nondegenerate. Assignment of resonances to carbons in particular residues is hence a prerequisite for a structural analysis of the spectroscopic data. For nonprotonated carbonyl carbons, the assignment can be achieved by selective (1H alpha)13C' 2J decoupling. Using this method, we have assigned the Orn1 and Gly2 carbonyl resonances in alumichrome at 67.9 MHz. We show that a single off-resonance experiment with the decoupling frequency centered in the aliphatic proton spectrum is sufficient to assign unequivocally all the protonated carbon resonances via analysis of the reduced 1J heteronuclear splittings. Alumichrome thus becomes the first complex polypeptide spin system whose 1H, 15N, and now 13C nuclear resonances have been fully identified to date. 13C chemical shifts and 1H--13C spin--spin couplings are discussed in terms of structural strain leading to specific orbital hybridizations and on the basis of polarization effects due to electron density shifts toward hydrogen-bonding and metal-binding sites. A number of 3J(13C--C--C--1H) coupling constants measured on selected multiplets after resolution enhancement were used to derive the x-related Karplus relationship 3J(theta) = (10.2 cos2 theta -- 1.3 cos theta + 0.2) Hz.

Aluminum↗
PubMed2026

T2T and chromosome-level genome assemblies provide insights into the genetic basis of bioactive compound biosynthesis and environmental adaptation in licorice.

Licorice is an important medicinal herb worldwide, including three Chinese Pharmacopoeia species (Glycyrrhiza uralensis, G. inflata, G. glabra), with bioactive compounds crucial for disease treatment and industrial applications. However, the genetic mechanisms underlying the biosynthesis, diversification, and environmental adaptation of bioactive compounds in Glycyrrhiza species have long remained unclear. Herein, we assembled a gapless telomere-to-telomere (T2T) genome of G. uralensis with resolved telomeres and centromeres and three significantly improved high-quality chromosome-level Glycyrrhiza genomes, alongside a variation map of 188 wild accessions. Population analysis revealed evolutionary divergence among species, with selection signals linked to medicinal compound pathways. We identified 4CL5 as a key gene for stress response and compound synthesis. GWAS validation highlighted the GiPHL1-Gi4CL5 module's role in licochalcone A accumulation and enhanced stress adaptation in G. inflata. This study provides the first T2T Glycyrrhiza genome and insights into medicinal compound biosynthesis and environmental adaptation.

Glycyrrhiza↗
PubMed2026

Genomic characterization and phylogenetic placement of Matryoshka RNA virus 1 associated with Plasmodium vivax malaria in Africa.

Plasmodium vivax is a major cause of human malaria. It harbours Matryoshka RNA virus 1 (MaRNAV-1), a bi-segmented positive-sense RNA virus. MaRNAV-1 was first described in P. vivax and is now recognized as part of a wider group of Matryoshka viruses. These viruses also infect other haemosporidian parasites such as Leucocytozoon and Haemoproteus. The presence of MaRNAV-1 in African-origin human P. vivax, however, has not been clearly established. This study investigated whether MaRNAV-1 is present in public African-origin P. vivax transcriptomic datasets. Any viral sequences recovered were characterized using comparative genomic and phylogenetic analyses. A secondary in silico analysis targeted African-origin P. vivax RNA-seq runs from public repositories. Although the search covered Africa, only Ethiopian datasets could be confidently identified, retrieved and compiled at the time. After quality control and screening for MaRNAV-1 RNA-dependent RNA polymerase (RdRp) signals, three high-confidence runs were selected for further analysis. Reference-guided reconstruction, ORF prediction, blast-based validation and RdRp phylogenetic analysis were performed. MaRNAV-1 was identified in three Ethiopian P. vivax malaria transcriptomes. This was supported by strong segment-level mapping, near-complete coverage, high mean depth and minimal low-depth masking. The recovered genomes showed the expected bisegmented organization of MaRNAV-1. Segment I was highly conserved and encoded the canonical RdRp in all three consensus sequences. Segment II showed the conserved organization of two overlapping hypothetical ORFs in all three consensus sequences. Blast analyses confirmed close similarity to MaRNAV-1 reference sequences. Phylogenetic inference grouped the Ethiopian sequences within the broader P. vivax-associated MaRNAV-1 lineage, alongside other recognized MaRNAV lineages distinct from more divergent narna-like viruses. These findings provide genomic evidence for MaRNAV-1 in publicly available African-origin P. vivax transcriptomic datasets and add to the emerging evidence for the virus in the African malaria context.

MaRNAV↗
PubMedDate not supplied

[Considerations relating to the choice of criteria of automatic detection in tele-E.E.G (author's transl)].

The authors retrace their pragmatic approach, by stages, to analysis the "unsorted" signal of cerebral activity, transmitted by telemetry. They use the selective properties of frequency filters associated with energy level thresholds, in order to obtain discrimination of the events appearing in the E.E.G. They emphasise the learning of objective reading, in its electrical composition, of the E.E.G. signal, and the need for good function of the telemeasure systems which transmit the information. The final stage involves a discriminator of paroxysmal electrical activity, programmable in its selective functions and in its association logic, essential for analysis by calculator, for statistical studies and in order to detect any electro-clinical correlation.

Electroencephalography↗
PubMed2026

Integrated Genome-Wide Association Studies and Selection Signature Analysis Reveal the Genetic Architecture of the Wattle Trait in Goats.

Wattles are finger-like appendages on the ventral neck of goats, serving as a distinctive morphological marker for breed identification that serves potential implications for production performance. However, their genetic basis remains incompletely characterized. Here, we integrated a genome-wide association study (GWAS) and selection signature analysis to identify candidate genes and genomic regions associated with the wattle trait in goats. Using a linear mixed model, GWAS on 463 goats (23 wattled and 440 non-wattled) identified 385 quantitative trait loci (QTLs) at a 5% false discovery rate, yielding 346 candidate genes. The most significant association signal was observed on chromosome 10 (72.61-73.48 Mb), where the lead SNP (rs636481767) is located within a region containing GJD2, GREM1, and FMN1, showing strong linkage disequilibrium (r2 > 0.6) with surrounding loci. Subsequent selection signature analysis (23 wattled and 23 non-wattled) identified 83 genomic regions harboring 119 candidate genes. The strongest signals were detected at MFSD14B on chromosome 8 (FST = 0.154, log2π-ratio = 2.611) and PDLIM7 on chromosome 7 (FST = 0.144, log2π-ratio = 0.806). KEGG pathway enrichment analysis revealed that GWAS-associated genes were involved in glycosylation and immune responses, whereas selection-signature genes were enriched in DNA repair and the Hippo, Notch, and Wnt pathways. Furthermore, cross-species PheWAS revealed that human FMN1 is associated with dermatological, skeletal, and metabolic phenotypes, while porcine FMN1 is associated with backfat thickness and loin muscle depth. Overall, this study provides molecular markers of potential value for goat breeding and pinpoints key candidate genes for future functional validation of wattle development.

Animals↗
PubMed2026

Proteomic and Phosphoproteomic Signatures Link Molecular Remodeling to Behavioral Outcomes Following Elderberry and DHA Supplementation in Aging Mice.

Background: Aging is a risk factor for Alzheimer's disease and related dementias, which are associated with synaptic dysfunction and cognitive decline. Elderberry (Sambucus spp.) is rich in anthocyanins with antioxidant and anti-inflammatory properties. Docosahexaenoic acid (DHA), an essential fatty acid, plays a key role in neuronal membrane integrity during brain aging. However, it remains unclear whether elderberry and DHA exert overlapping or distinct effects on brain aging and how these relate to molecular signaling. This study aimed to characterize molecular signatures induced by dietary supplementation and to determine their relationships with behavioral outcomes. Methods: 44-week-old male C57BL/6J mice were randomly assigned to control, elderberry, DHA, or combined diets for 12 weeks. Behavioral testing assessed anxiety-like behavior, spatial learning and memory. Brain tissues underwent proteomic and phosphoproteomic profiling and fatty-acid analysis. Data were analyzed using Ingenuity Pathway Analysis to identify enriched pathways, upstream regulators, and functional associations. Results: Elderberry as well as DHA supplementation induced targeted remodeling of the proteome and phosphoproteome, with pathway enrichment involving synaptogenesis, glutamatergic signaling, and long-term potentiation. Upstream-regulator analysis predicted elderberry-associated CDK5 signaling, accompanied by reduced MAPT/Tau phosphorylation at selected sites, whereas DHA supplementation was associated with CAMK-related signaling. DHA supplementation altered fatty-acid composition, increasing the n-3/n-6 ratio. Elderberry reduced anxiety-like behavior and improved target-directed search during the Barnes maze probe test. Molecular signatures were examined in relation to the measured behavioral outcomes. Conclusions: Elderberry and DHA are associated with distinct molecular networks related to synaptic function and behavioral outcomes in the aging male mouse brain. These findings support further investigation of elderberry and DHA as dietary interventions targeting molecular and behavioral features of brain aging.

Animals↗
PubMed2026

Genome-wide characterization of the sugar transporter protein family identifies candidate genes for bacterial wilt resistance breeding in tobacco.

Sugar transporter proteins (STPs) play pivotal roles in hexose allocation and plant stress responses. However, systematic characterization of the STP family in tobacco (Nicotiana tabacum) and its involvement in Ralstonia solanacearum resistance remains unclear. In this study, 37 NtSTP genes were identified and classified into six groups, with Group VI being the most conserved and Group V exhibiting dicot-specific expansion. Gene structure and conserved motif analyses revealed that most NtSTP members possess the typical MFS_STP domain, although variations in exon-intron organization and motif composition suggested functional divergence. Tandem duplication (TD) served as the primary driver of NtSTP family expansion, and Ka/Ks values of all paralogous pairs were less than 1, indicative of purifying selection. Promoter cis-element analysis revealed a complex regulatory network involving hormone signaling (ABA, JA, SA, GA, ET), stress responses, and light signaling. RT-qPCR expression profiling revealed that ten NtSTP genes (NtSTP1, 5, 7, 21, 22, 24, 26, 27, 28, and 29) exhibited significant transcriptional upregulation upon R. solanacearum infection. Specifically, NtSTP5, NtSTP7, NtSTP21, NtSTP22, NtSTP24, NtSTP26, and NtSTP27 peaked at 12 h post-inoculation (hpi), whereas NtSTP1, NtSTP28, and NtSTP29 reached their highest expression levels at 24 hpi. By contrast, NtSTP6, NtSTP13, and NtSTP30 displayed reduced expression upon R. solanacearum infection. These expression patterns indicate functional diversification within the NtSTP family and imply that these members may be transcriptionally modulated during plant responses to R. solanacearum. The present work provides preliminary and valuable candidate gene resources that may facilitate future disease resistance breeding programs in tobacco.

NtSTP gene family↗
PubMed2026

Structural and functional characterization of peanut expansin proteins identifies AhEXPA3 as a stress-responsive regulator of seed germination.

Expansins are cell wall-associated proteins that play important roles in plant growth, development, and environmental responses, yet their structural features and functional significance in peanut remain insufficiently understood. Here, we performed a genome-wide identification and characterization of 70 expansin proteins in cultivated peanut. Phylogenetic analysis classified these genes into four subfamilies (EXPA, EXPB, EXLA, and EXLB), with conserved motif patterns and subgroup-specific exon-intron structures. Collinearity and evolutionary analyses revealed that segmental duplication mainly drove peanut expansin family expansion, with most duplicated gene pairs subsequently undergoing purifying selection. Promoter analysis identified abundant cis-regulatory elements associated with light responses, hormone signaling, and stress responses. Expression profiling indicated that many AhEXP genes were differentially expressed during seed germination and in response to abscisic acid (ABA), salt, and osmotic stresses. Among them, AhEXPA3 was identified as a stress-responsive expansin protein with marked transcriptional induction under abiotic stress conditions. Subcellular localization analysis suggested that AhEXPA3 exhibits an endoplasmic reticulum-associated localization pattern. Functional assays further demonstrated that heterologous expression of AhEXPA3 inhibited seed germination and early seedling establishment under stress conditions in both Arabidopsis thaliana and rice. These findings support a negative regulatory role of AhEXPA3 in stress-responsive seed germination and broaden current understanding of expansin protein function in legumes.

Germination↗
PubMed2026

Establishment of a STAT6 Reporter Assay for Screening Environmental Toxicants Affecting Allergic Airway Inflammation.

Air pollution-associated allergic airway inflammation is an increasing public health concern. Interleukin‑4 (IL‑4) and interleukin‑13 (IL‑13), which activate the Signal Transducer and Activator of Transcription 6 (STAT6) pathway, a central mediator of allergic airway inflammation, may modulate the respiratory toxicities of pollutants. The present study describes the generation and validation of a stable STAT6 luciferase reporter assay in human airway epithelial cells for evaluating environmental toxicants that modulate STAT6 signaling. Human bronchial epithelial 16HBE14o- cells were transduced with a STAT6-responsive luciferase reporter using a lentiviral vector, followed by optimization of puromycin selection and multiplicity of infection, and monoclonal isolation by limiting dilution. A stable clone with strong and reproducible induction across serial passages was selected. Reporter responsiveness was validated by IL-4/IL-13 stimulation, and STAT6 dependence was confirmed using selective STAT6, STAT5, and STAT3 inhibitors. Assay performance was quantified by Z'-factor analysis, which indicated reproducible signal separation. Furthermore, the assay was applied to individual air-pollution constituents, and benzo[b]fluoranthene and particulate matter significantly increased STAT6 reporter activity. This method provides a scalable approach for measuring STAT6 activity in airway epithelial cells and for prioritizing environmental toxicants that modulate allergic airway signaling.

STAT6 Transcription Factor↗
PubMed2025

Genetic diversity, population structure in a historical panel of Brazilian soybean cultivars.

Soybean [Glycine max (L.) Merrill] is one of the most widely grown legumes in the world, with Brazil being its largest producer and exporter. Breeding programs in Brazil have resulted from multiple cycles of selection and recombination starting from a small number of USA cultivar ancestors in the 1950s and 1960s years. This process has led to the successful adaptation of this crop to tropical conditions, a phenomenon known as tropicalization. Many studies describe a narrow genetic background in Brazilian soybean cultivars. Various factors can affect the genetic diversity in species, especially in cultivated crops, such as the reproduction type, artificial selection, and the number and sources of variability in the breeding programs. In turns, the genetic diversity can affect the linkage disequilibrium blocks (LD) patterns and, consequently, molecular breeding strategies for selection of target loci for agronomic traits. We used high-throughput genotyping with SoySNP50K Illumina SNP markers to assess a collection of 370 Brazilian soybean accessions covering more than 60 years of soybean breeding in Brazil. Our goal was to investigate population structure and genetic diversity in the Brazilian germplasm, detect patterns of LD blocks, and identify regions presenting signals of selective swaps linked with quantitative trait loci (QTLs) of agronomic interest. Population structure analysis revealed two major groups among all genotypes, primarily differentiated by the year of release, separating old and new cultivars (before and after 2000´s years), and by growth habit (stem termination type-SST). The group I comprises about 75% of the panel and includes cultivars release before 2000`s years, including the oldest cultivars released in Brazil, most of which exhibit a determinate growth habit and maturity groups VI and VII. Group II includes only 83 materials, but shows higher levels of diversity than group I, representing most recent introductions in Brazilian germplasm. Further analysis of substructure within Group I, identified seven subgroups with no clear trend for segregation based on maturity group, STT or year of release. Instead, these subgroups were based on the contribution of key donors of disease resistance and adaptability, as soybean cultivation expanded from the South to Central region of Brazil. This finding is consistent with the history of soybean expansion in Brazil. We identified 123 genomic regions under selection among the groups of Brazilian cultivars associated with 440 quantitative trait loci (QTLs), revealing regions fixed across the breeding process associated with yield, disease resistance, water efficiency use, and others.

Glycine max↗
PubMed2026

Integrated network pharmacology, molecular docking, and experimental validation to reveal the potential mechanism of Ginsenoside Rg1 on chronic obstructive pulmonary disease.

Ginsenoside Rg1 (GS Rg1), a natural flavonoid exhibiting anti-inflammatory and antioxidant properties, holds significant potential for treatment chronic obstructive pulmonary disease (COPD). Nevertheless, the precise mechanisms underlying its therapeutic effects remain to be fully elucidated. This study aimed to explore the role and potential mechanism of GS Rg1 in the treatment of COPD using network pharmacology, molecular docking, and experimental validation.Targets related to GS Rg1 and COPD were screened from public databases, and the potential common targets were then imported into the STRING database to construct a protein-protein interaction (PPI) network. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis were performed to identify key signaling pathways. Molecular docking was employed to predict the binding interactions between GS Rg1 and core targets. A BEAS-2B cell model induced by lipopolysaccharide(LPS) and cigarette smoke extract(CSE) was used to explore the protective mechanisms of GS Rg1. Western blot analysis was conducted to validate the critical targets and pathways involved in the anti-COPD effects of GS Rg1. Network pharmacology analysis revealed 105 common targets between GS Rg1 and COPD. The EGFR/PI3K/AKT and EGFR/STAT3 signaling pathways were selected for further validation. GS Rg1 was demonstrated to effectively inhibit inflammation and mucus hypersecretion in vitro models of COPD. Western blot results showed that GS Rg1 treatment significantly downregulated the expression of proteins involved in the EGFR/PI3K/AKT and EGFR/STAT3 signaling pathway, consistent with the network pharmacology findings. CSE/LPS exposure induces inflammation and oxidative stress in COPD by disrupting the EGFR/PI3K/AKT and EGFR/STAT3 signaling pathways, and GS Rg1 significantly alleviates these effects, which may be partially through regulating the EGFR/PI3K/AKT and EGFR/STAT3 signaling pathway.

Ginsenosides↗
PubMed1977

The electrolytic conductivity detector as an element-selective gas chromatographic detector.

The response and elemental selectivity of the electrolytic conductivity detector (E1CD) to nitrogen-, chlorine-, and sulfur-containing compounds has been investigated as a function of chemical structure, furnace chemistry conditions (i.e., reaction gas, furnace temperature, catalyst, and post-furnace chemical abstractors), and solubilization-and-ionization processes (electrolytic chemistry and electrolytic conductance). The "profiling" of detector response for the gas-liquid chromatographic-E1CD analysis of selected compounds under defined furnace chemistry reaction conditions and electrolytic chemistry included the determination of detector signal to noise ratio, peak tailing, and elemental selectivity. Detector response and conductivity phenomena are discussed in terms of gas-phase furnace chemistry reactions, post-furnace reaction or abstraction processes, and solution-phase ionization and neutralization processes occurring in the conductivity cell.

Antidepressive Agents↗
PubMed2026

Integrated single-cell transcriptomics, Mendelian randomization, and machine learning identify CEBPZ as an immune-related biomarker in oral lichen planus.

BACKGROUND: Oral lichen planus (OLP) is a chronic, immune-mediated oral mucosal disease with complex pathophysiology and potential for malignant transformation. Understanding its molecular basis is critical for the development of precise diagnostic and therapeutic strategies. OBJECTIVES: We aimed to identify key immune-related biomarkers and characterize cellular dynamics in OLP, with a particular focus on the role of CEBPZ in disease pathogenesis. MATERIAL AND METHODS: We analyzed single-cell RNA sequencing (scRNA-seq) data from OLP lamina propria samples (GSE211630) to identify disease-specific T-cell subpopulations using high-dimensional weighted gene co-expression network analysis (hdWGCNA) for oxidative stress-related gene modules.-data-based Mendelian randomization (SMR) integrated FinnGen genome-wide association study (GWAS; 342,499 Europeans) data with Genotype-Tissue Expression (GTEx) expression quantitative trait loci (eQTL) data to identify causal genes. Machine learning (ML) models (least absolute shrinkage and selection operator (LASSO) and convolutional neural network (CNN)) were developed using bulk RNA-seq datasets (GSE52130 and GSE38616) for diagnostic purposes. RESULTS: We identified OLP-specific T-cell populations (clusters 0, 3, 5, 7, 13, and 15) with enhanced migration inhibition factor (MIF) pathway signaling toward B cells and monocytes. Two oxidative stress-associated modules contained hub genes, including CEBPZ. Summary-data-based Mendelian randomization analysis identified 231 OLP-associated genes, with CEBPZ uniquely intersecting LASSO-selected markers (odds ratio (OR) = 1.057, 95% confidence interval (95% CI) = 1.013-1.102, p = 0.010). Machine learning models achieved area under the curve (AUC) values ranging from 0.653 to 0.745, with the CNN model reaching a validation accuracy of 0.735. CEBPZ showed elevated expression in OLP T cells and correlated with enhanced MIF-(CD74+CXCR4) signaling. CONCLUSIONS: This integrative approach identifies CEBPZ as a pivotal biomarker linking genetic susceptibility, oxidative stress, and immune dysregulation in OLP. Our diagnostic models offer promising tools for OLP management.

CEBPZ↗
PubMed2026

Integrated analysis of plasma metabolomics and proteomics reveals the biological characteristics of damp-heat and stasis-toxin syndrome in colorectal cancer.

OBJECTIVE: To investigate the biological attributes of core syndromes in colorectal cancer, namely, the damp-heat and stasis-toxin syndrome (SRYD). METHODS: Between October 2021 and October 2022, a cohort comprising 40 patients with colorectal cancer (CRC) diagnosed with damp-heat and stasis-toxin syndrome (SRYD group), 40 patients with CRC without this syndrome (non-SRYD group), and 40 healthy controls (Normal group) was recruited at Jiangsu Province Hospital of Chinese Medicine. Untargeted metabolomics analysis was conducted on plasma samples from all 120 participants, while differential protein analysis using four-dimensional data-independent acquisition proteomics was performed on 20 randomly selected samples per group. A combined analysis of proteomics and metabolomics data followed, and the identified potential diagnostic biomarkers were subsequently used to train and validate multiple machine learning models. RESULTS: Proteomic analysis revealed 130 differential proteins in the colorectal cancer with damp-heat and stasis-toxin syndrome (CRC-SRYD) group, enriched in pathways including complement and coagulation cascades, as well as nuclear factor kappa-B (NF-κB) signaling. Metabolomic analysis identified 584 differential metabolites within the same group, showing enrichment in pathways such as primary bile acid biosynthesis, central carbon metabolism in cancer, and glucagon signaling. Integrated pathway analysis indicated heightened activity of the NF-κB signaling pathway in the CRC-SRYD group. A biomarker panel, comprising 6 proteins and 9 metabolites selected through the ReliefF algorithm, was used to construct a diagnostic model with random forest, achieving an accuracy of 93.33%, sensitivity of 80.00%, and specificity of 100%. CONCLUSION: This study systematically elucidates plasma metabolomic and proteomic alterations in patients with CRC, establishing a robust diagnostic model for CRC syndrome (CRC-SRYD). Further investigation is warranted to clarify the underlying molecular mechanisms and biological foundations.

Humans↗