ObjectiveTo investigate the effects of Erchentang （ECD） on the body weight of the mouse model of simple obesity induced by a high-fat diet （HFD） and decipher the underlying mechanisms. MethodsFirstly， single-cell transcriptomics （Sc-RNAseq） was employed to analyze the transcriptional changes in the ileum tissue of mice in the normal group and model group. Then， a mouse model of simple obesity was established with a high-fat diet. The successfully modeled mice were randomly allocated into the following four groups （n=8）： model， low-dose （7.5 g·kg^-1） ECD， medium-dose （15 g·kg^-1） ECD， and high-dose （30 g·kg^-1） ECD. Additionally， 8 mice of the same age were selected as the normal group. The body weight was measured at fixed time points during the 4-week gavage period. The overall efficacy of ECD in alleviating obesity was evaluated through glucose tolerance testing， behavioral analysis， hematoxylin-eosin （HE） staining， and biochemical testing. Protein docking was employed to predict the degree of binding between corresponding proteins. Molecular docking was employed to predict the binding degree between key components of ECD and target proteins. Real-time PCR was employed to determine the mRNA levels of tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， interleukin-1β （IL-1β）， CD68， CD206， zonula occludens-1 （ZO-1）， and Claudin-5 in the ileum. Immunofluorescence staining was used to observe the expression and distribution of Claudin-5 and ZO-1. ResultsThe Sc-RNAseq results indicated that the differentially expressed genes of immune cells in the model group in comparison with the normal group were primarily enriched in biological functions related to lipid metabolism and inflammatory metabolism. Additionally， these genes were associated with the janus kinases（JAK）/signal transducers and activators of transcription （STAT） signaling pathway， an inflammation-related pathway. Compared with the normal group， the model group showed increases in body weight （P<0.01） and blood glucose level （P<0.01）， a decrease in limb strength （P<0.01）， an increase in liver weight （P<0.05）， and elevated serum alanine amino-transferase （ALT） and aspartate transferase （AST） levels （P<0.05， P<0.01）. Additionally， the model group exhibited increased hepatic fat vacuoles， notably enlarged adipocytes in the epididymal and inguinal white adipose tissue， and increased inflammation. Compared with the model group， ECD groups showed reduced body weights （P<0.01） and blood glucose levels （P<0.01）， increased limb strength （P<0.05， P<0.01）， decreased liver weights （P<0.05， P<0.01）， and declined serum ALT and AST levels （P<0.05， P<0.01）. Additionally， ECD reduced hepatic fat vacuoles and the adipocyte volume in the epididymal and inguinal white adipose tissue， and alleviated inflammation. Potential interactions existed between CD68 and ZO-1/Claudin-5， as well as between CD206 and ZO-1/Claudin-5. The key components of ECD， nobiletin， diosmetin， and naringenin， all demonstrated strong binding affinity with the target proteins ZO-1 and Claudin-5. Compared with the normal group， the model group exhibited up-regulated mRNA levels of the pro-inflammatory cytokines TNF-α， iNOS， IL-1β， and CD68 （P<0.05， P<0.01） and down-regulated mRNA levels of the anti-inflammatory cytokine CD206 （P<0.01） and the tight junction proteins Claudin-5 and ZO-1 （P<0.05， P<0.01）. In comparison with the model group， the ECD groups showed down-regulated mRNA levels of TNF-α， iNOS， IL-1β， and CD68 （P<0.05， P<0.01） and up-regulated mRNA levels of CD206， Claudin-5， and ZO-1 （P<0.05， P<0.01）. Compared with the normal group， the model group exhibited down-regulated expression of tight junction proteins Claudin-5 and ZO-1 （P<0.01）. Compared with the model group， ECD groups showed up-regulated expression of Claudin-5 and ZO-1 （P<0.05， P<0.01）. ConclusionECD can significantly ameliorate HFD-induced obesity and excessive body weight gain in mice by improving the inflammatory microenvironment in the ileum and further restoring the integrity of the impaired ileal barrier.

Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.

This study was aimed at predicting and analyzing the structural and functional properties of the persistence-associated secretory protein PaaX in Mycobacterium tuberculosis(M.tb),identifying its interacting partners,and elucidating its biological roles.Bioinformatics analysis revealed that PaaX comprises 240 amino acids with a molecular mass of 26.54 kDa(C1158H1866N354O334S14).The protein lacks transmembrane domains but contains a signal peptide.Its secondary structure is dominated by α-helices(53.33%),fol-lowed by random coils(36.25%)and extended strands(10.42%),thereby forming a homotetrameric spatial configuration.Potential PaaX-interacting proteins,including Rv0406c,EchA4,EchA5,HsaE,FadE8,LpqP,and End,were predicted.These candidate genes and the paaX gene were cloned into bacterial two-hybrid vectors and co-transformed into Escherichia coli BTH101 cells.Colony PCR and sequencing confirmed the accuracy of the recombinant constructs.Bacterial two-hybrid assays demonstrated direct interac-tions of PaaX with EchA4,HsaE,FadE8,and LpqP.Moreover,gradient dilution experiments indicated that the strongest binding af-finity occurred between PaaX and EchA4.AlphaFold 3 modeling further validated these interactions,thus providing high-confidence predictions of binding interfaces.Our findings revealed that PaaX,a secreted α-helix-rich protein,engages in specific interactions with key metabolic enzymes(EchA4,HsaE,and FadE8)and a lipoprotein(LpqP),thus suggesting its potential involvement in lipid metabolism,stress adaptation,and host-pathogen interactions.This study provides novel insights into PaaX's contribution to M.tb per-sistence and pathogenicity,and highlights its value as a potential target for tuberculosis diagnostics and therapeutic development.

Wound repair and infection have long posed significant challenges in clinical medicine.Am-phibians,adapting to complex environments through long-term natural selection,have evolved skin sys-tems with remarkable abilities to resist external damage and promote rapid wound healing,making them an important source for discovering candidate molecules for wound healing.In this study,a novel peptide composed of 22 amino acids,with the sequence"VGKAGLETAACKATNSCFNIDW"and a molecular weight of 2299.6 D,was screened from the cDNA library of Odorrana tormota and named PN-VW22.The peptide was synthesized by solid-phase synthesis,and its effects on cell proliferation were evaluated using the CCK-8 assay and scratch wound healing assay in human keratinocytes(HaCaT)and mouse em-bryonic fibroblasts(NIH3T3).Antibacterial activity was assessed by determining the minimum inhibitory concentration(MIC).Results showed that PN-VW22 at various concentrations had no significant effect on the cell viability in NIH3T3 cells(P＞0.05),but significantly enhanced HaCaT cell viability at 0.5μmol/L(P＜0.001).Meanwhile,PN-VW22 induced cell proliferation and promoted wound healing in HaCaT cells,with a healing rate of 64.44％after 24 h incubation at 0.5 μmol/L.Furthermore,PN-VW22 exhibited antibacterial activity against Staphylococcus aureus with an MIC value of 13.92 μmol/L.In sum,this study identified PN-VW22 as a novel bifunctional peptide with both wound repair and anti-infective properties,providing a new toxin peptide template for the development of wound healing drugs.

Objective To explore the policy foundations of early family education and rehabilitation support systems for children with developmental disabilities aged zero to three years,based on the International Classification of Functioning,Disability and Health(ICF),and to construct a comprehensive,whole-person and whole-lifecycle support system integrating early childhood education and rehabilitation services for families;and to propose corresponding sys-tem architecture,construction pathways and governance models.Methods Policy documents were compared,which were related to children's rehabilitation from the World Health Orga-nization,early education guidelines for children with disabilities from the United Nations Educational,Scientific and Cultural Organization,the U.S.Individuals with Disabilities Education Act,European Union children's reha-bilitation policies,and the"14th Five-Year Plan"from China Disabled Persons'Federation.The related policy frameworks and key content of early family education and rehabilitation were reviewed,and the composition,implementation pathways and governance models of the support system were systymatically analyzed.Results The support system consisted of early screening and assessment,family education and parent training,counsel-ing and personalized education and rehabilitation support,community support and resource integration,and re-mote digital support platforms.The study proposed the implementation pathways for five systems,including early screening and assessment,family education and parent training,counseling and personalized rehabilitation support,community support and resource integration,and remote digital support platforms.It emphasized gover-nance mechanisms such as multidisciplinary collaboration,interdepartmental coordination and support from re-mote digital platforms to build a continuous service chain from standardized assessments to interdepartmental collaboration.Conclusion The person-centered approach and whole life span development concept based on the ICF model,as well as the guiding principles of the health services continuum,provide systematic theoretical and policy support for early childhood education and rehabilitation for children with developmental disabilities aged zero to three years.Through multidisciplinary collaboration,interdepartmental coordination and the application of digital platforms,a scientific,continuous and child-centered support system can be built.This not only facilitates early detection and precise intervention but also promotes multi-party collaboration among families,communities and profes-sional institutions.It will further integrate disability prevention,rehabilitation and healthcare services,thereby im-proving children's functional abilities and family quality of life.

Wound repair and infection have long posed significant challenges in clinical medicine.Am-phibians,adapting to complex environments through long-term natural selection,have evolved skin sys-tems with remarkable abilities to resist external damage and promote rapid wound healing,making them an important source for discovering candidate molecules for wound healing.In this study,a novel peptide composed of 22 amino acids,with the sequence"VGKAGLETAACKATNSCFNIDW"and a molecular weight of 2299.6 D,was screened from the cDNA library of Odorrana tormota and named PN-VW22.The peptide was synthesized by solid-phase synthesis,and its effects on cell proliferation were evaluated using the CCK-8 assay and scratch wound healing assay in human keratinocytes(HaCaT)and mouse em-bryonic fibroblasts(NIH3T3).Antibacterial activity was assessed by determining the minimum inhibitory concentration(MIC).Results showed that PN-VW22 at various concentrations had no significant effect on the cell viability in NIH3T3 cells(P＞0.05),but significantly enhanced HaCaT cell viability at 0.5μmol/L(P＜0.001).Meanwhile,PN-VW22 induced cell proliferation and promoted wound healing in HaCaT cells,with a healing rate of 64.44％after 24 h incubation at 0.5 μmol/L.Furthermore,PN-VW22 exhibited antibacterial activity against Staphylococcus aureus with an MIC value of 13.92 μmol/L.In sum,this study identified PN-VW22 as a novel bifunctional peptide with both wound repair and anti-infective properties,providing a new toxin peptide template for the development of wound healing drugs.

Objective To investigate the regulatory effect of lipocalin 2(LCN2)on epidermal growth factor receptor(EGFR)phosphorylation and its impact on inflammatory damage in human fallopian tube epithelial cells.Methods Human fallopian tube epithelial cells were isolated and a lipopolysaccharide(LPS)intervention was applied to establish an in vitro cell model.The cells were randomly assigned into the following groups:a blank control group(Control),a model group(Model),experimental groups(Model+si-LCN2 or Model+oe-LCN2),and negative control groups(Model+si-NC or Model+oe-NC).Changes in cell viability,apoptosis rates,inflam-matory levels,as well as the expression of EGFR mRNA,LCN2,EGFR,p-EGFR,and the ratio of p-EGFR/EGFR proteins were evaluated.Results Compared to the Model group,the Model+si-LCN2 group exhibited enhanced cell viability,a reduced apoptosis rate,and decreased expression of inflammatory factors(P＜0.05).Immunopre-cipitation analysis confirmed a direct interaction between LCN2 and EGFR.In comparison with the Model group,the Model+oe-LCN2 group demonstrated elevated levels of p-EGFR and the p-EGFR/EGFR ratio(P＜0.05),while no significant change was observed in total EGFR expression(P＞0.05).Conclusion Inhibition of LCN2-mediated EGFR phosphorylation enhances cell viability,reduces apoptosis,and mitigates inflammatory responses,thereby ameliorating LPS-induced inflammatory injury in human fallopian tube epithelial cells.

This study was aimed at predicting and analyzing the structural and functional properties of the persistence-associated secretory protein PaaX in Mycobacterium tuberculosis(M.tb),identifying its interacting partners,and elucidating its biological roles.Bioinformatics analysis revealed that PaaX comprises 240 amino acids with a molecular mass of 26.54 kDa(C1158H1866N354O334S14).The protein lacks transmembrane domains but contains a signal peptide.Its secondary structure is dominated by α-helices(53.33%),fol-lowed by random coils(36.25%)and extended strands(10.42%),thereby forming a homotetrameric spatial configuration.Potential PaaX-interacting proteins,including Rv0406c,EchA4,EchA5,HsaE,FadE8,LpqP,and End,were predicted.These candidate genes and the paaX gene were cloned into bacterial two-hybrid vectors and co-transformed into Escherichia coli BTH101 cells.Colony PCR and sequencing confirmed the accuracy of the recombinant constructs.Bacterial two-hybrid assays demonstrated direct interac-tions of PaaX with EchA4,HsaE,FadE8,and LpqP.Moreover,gradient dilution experiments indicated that the strongest binding af-finity occurred between PaaX and EchA4.AlphaFold 3 modeling further validated these interactions,thus providing high-confidence predictions of binding interfaces.Our findings revealed that PaaX,a secreted α-helix-rich protein,engages in specific interactions with key metabolic enzymes(EchA4,HsaE,and FadE8)and a lipoprotein(LpqP),thus suggesting its potential involvement in lipid metabolism,stress adaptation,and host-pathogen interactions.This study provides novel insights into PaaX's contribution to M.tb per-sistence and pathogenicity,and highlights its value as a potential target for tuberculosis diagnostics and therapeutic development.

Extensive epigenetic reprogramming involves in memory CD8+ T-cell differentiation. The elaborate epigenetic rewiring underlying the heterogeneous functional states of CD8+ T cells remains hidden. Here, we profile single-cell chromatin accessibility and map enhancer-promoter interactomes to characterize the differentiation trajectory of memory CD8+ T cells. We reveal that under distinct epigenetic regulations, the early activated CD8+ T cells divergently originated for short-lived effector and memory precursor effector cells. We also uncover a defined epigenetic rewiring leading to the conversion from effector memory to central memory cells during memory formation. Additionally, we illustrate chromatin regulatory mechanisms underlying long-lasting versus transient transcription regulation during memory differentiation. Finally, we confirm the essential roles of Sox4 and Nrf2 in developing memory precursor effector and effector memory cells, respectively, and validate cell state-specific enhancers in regulating Il7r using CRISPR-Cas9. Our data pave the way for understanding the mechanism underlying epigenetic memory formation in CD8+ T-cell differentiation.
CD8-Positive T-Lymphocytes/metabolism* ; Cell Differentiation ; Chromatin/immunology* ; Animals ; Mice ; Immunologic Memory ; Epigenesis, Genetic ; SOXC Transcription Factors/immunology* ; NF-E2-Related Factor 2/immunology* ; Mice, Inbred C57BL ; Gene Regulatory Networks ; Enhancer Elements, Genetic

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology