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.

ObjectiveTo explore the anti-eczema efficacy and mechanism of Mongolian medicine Cymbaria dahurica n-butanol extract. MethodsThe compounds of C. dahurica n-butanol extract were obtained by ultra-performance liquid chromatography-quadrupole-electrostatic field orbital trap high resolution mass spectrometry （UPLC-Q-Exactive MS） analysis and literature mining. GEO chip analysis and network pharmacology were employed to predict potential targets and pathways for the anti-eczema effect. Seventy-five mice were randomized into a normal group （10 mice） and a modeling group （65 mice）. The model was induced by 1% dinitrochlorobenzene （DNCB） for 3 days. The modeled mice were grouped as follows： Positive drug （hydrocortisone butyrate cream， 250 mg·kg^-1·d^-1） and low-， medium-， and high-dose （95.94， 191.88， and 383.76 mg·kg^-1·d^-1， respectively） C. dahurica n-butanol extract， with 13 mice in each group. From day 5 of the experiment， 0.5% DNCB was applied， once every other day， until day 22. At the same time， drugs were applied daily from day 5. The appearance damage of back skin of mice in each group was analyzed. The pathological changes of the back skin of mice in each group were observed by hematoxylin-eosin （HE） staining and toluidine blue （TB） staining. The levels of inflammatory factors ［histamine （HIS）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， and tumor necrosis factor-α （TFN-α）］， thymic stromal lymphopoietin （TSLP）， and immunoglobulin E （IgE） in the serum were determined by enzyme-linked immunosorbent assay （ELISA）. Metabolomics analysis was performed for the mouse skin. The HaCaT cell model of eczema was induced with TNF-α/interferon-γ （IFN-γ）. The secretion levels of IL-6， IL-8， thymus and activation-regulated chemokine （TARC/CCL17）， macrophage-derived chemokine （MDC）， and TSLP in the cell supernatant from each group were measured by ELISA， while the protein levels of phosphorylated （p）-Janus kinase 2 （JAK2）， JAK2， p-signal transducer and activator of transcription 3 （STAT3）， and STAT3 were assessed by Western blot. ResultsThrough UPLC-Q-Exactive MS and literature review， a total of 125 compounds of C. dahurica n-butanol extract were obtained. The Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis showed that the anti-eczema mechanism of C. dahurica n-butanol extract may be related to the Janus kinase/signal transducer and activator of transcription （JAK/STAT） pathway. The results of animal experiments showed that compared with the normal group， the modeling group exhibited redness， swelling， exudation， erosion， and scab formation on the back skin surface， and thickened dermis and epidermis with inflammatory cell infiltration. Compared with the modeling group， the positive drug and C. dahurica n-butanol alleviated the skin lesions （including redness， swelling， exudation， roughness， and keratosis and scab formation on the back）， reduced the thickness of dermis and epidermis， mitigated inflammatory cell infiltration， and restored the skin tissue structure. Compared with the normal group， the modeling group showed elevated levels of HIS， IL-4， IL-6， IL-8， TNF-α， TSLP， and IgE （P<0.05， P<0.01）， which were reversed in the positive drug group and C. dahurica n-butanol extract groups （P<0.05， P<0.01）. The results of metabolomics analysis showed that 12 differential metabolites might be the key substances for mitigating metabolic disorders of the skin and were closely related to the JAK/STAT signaling pathway. The cell experiement showed that compared with the normal group， the model group exhibited upregulated expression levels of IL-6， IL-8， MDC， TARC， TSLP， p-JAK2， p-STAT3， p-JAK2/JAK2， and p-STAT3/STAT3 in HaCaT cells （P<0.05， P<0.01）. Compared with the model group， C. dahurica n-butanol extract and dexamethasone downregulated the expression levles of these molecules （P<0.05， P<0.01）. ConclusionC. dahurica n-butanol extract may play an anti-eczema role by inhibiting the JAK2/STAT3 signaling pathway， reducing the inflammatory response， and correcting the metabolic disorder.

Real-world study (RWS), based on multi-source data from real medical environments, is gradually becoming an important supplement to traditional randomized controlled trials, and its application in the field of transfusion medicine is becoming increasingly widespread. This article systematically reviews the definition and methodological system of RWS, examines its application cases in clinical blood transfusion research, and discusses the advantages, limitations, and future research directions of RWS, aiming to provide a reference for evidence-based research in blood transfusion medicine.

Real-world study (RWS), based on multi-source data from real medical environments, is gradually becoming an important supplement to traditional randomized controlled trials, and its application in the field of transfusion medicine is becoming increasingly widespread. This article systematically reviews the definition and methodological system of RWS, examines its application cases in clinical blood transfusion research, and discusses the advantages, limitations, and future research directions of RWS, aiming to provide a reference for evidence-based research in blood transfusion medicine.

OBJECTIVE: To investigate the relationship between serum levels of fibroblast growth factor-23 (FGF-23), heparanase (HPSE) and early renal impairment (RI) in patients with multiple myeloma (MM). METHODS: A retrospective analysis was conducted on the clinical data of 125 MM patients who were initially diagnosed in the Department of Hematology of the First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology from June 2020 to June 2023. The patients were divided into RI group (>176.80 μmol/L) and non-RI group (≤176.80 μmol/L) based on their serum creatinine levels when diagnosed. The baseline data and laboratory indexes of the two groups were compared. The relationship between serum FGF-23, HPSE and early RI in MM patients was analyzed. RESULTS: Among 125 newly diagnosed MM patients, 33 cases developed early RI, accounting for 26.40%. The proportion of light chain type, blood urea nitrogen (BUN), blood uric acid, lactate dehydrogenase, FGF-23, and HPSE levels in RI group were higher than those in non-RI group (all P <0.05). There was no statistical significant difference in other data between the two groups (P >0.05). Multivariate logistic regression analysis showed that BUN, FGF-23 and HPSE were associated with early RI in MM patients (all P <0.05). The serum FGF-23 level was divided into Q1-Q4 groups by quartile, and the serum HPSE level was divided into q1-q4 groups. The correlation analysis showed that with the increase of serum FGF-23 and HPSE levels, the incidence of early RI increased (r =0.668, 0.592). Furthermore, logistic regression analysis showed that after controlling for confounding factors, elevated levels of serum FGF-23 and HPSE were still influencing factors for early RI in MM patients (OR>1, P <0.05). According to Pearson's linear correlation test, there was a positive correlation between serum FGF-23 level and HPSE level (r =0.373). CONCLUSION There is a certain correlation between serum levels of FGF-23, HPSE and early RI in MM patients, and the incidence of early RI is higher in patients with abnormally high levels of both.
Humans ; Multiple Myeloma/complications* ; Fibroblast Growth Factor-23 ; Retrospective Studies ; Fibroblast Growth Factors/blood* ; Glucuronidase/blood* ; Male ; Female ; Middle Aged ; Renal Insufficiency/blood* ; Aged

BACKGROUND: Biomarkers-based prediction of long-term risk of acute coronary syndrome (ACS) is scarce. We aim to develop a risk score integrating clinical routine information (C) and plasma biomarkers (B) for predicting long-term risk of ACS patients. METHODS: We included 2729 ACS patients from the OCEA (Observation of cardiovascular events in ACS patients). The earlier admitted 1910 patients were enrolled as development cohort; and the subsequently admitted 819 subjects were treated as validation cohort. We investigated 10-year risk of cardiovascular (CV) death, myocardial infarction (MI) and all cause death in these patients. Potential variables contributing to risk of clinical events were assessed using Cox regression models and a score was derived using main part of these variables. RESULTS: During 16,110 person-years of follow-up, there were 238 CV death/MI in the development cohort. The 7 most important predictors including in the final model were NT-proBNP, D-dimer, GDF-15, peripheral artery disease (PAD), Fibrinogen, ST-segment elevated MI (STEMI), left ventricular ejection fraction (LVEF), termed as CB-ACS score. C-index of the score for predication of cardiovascular events was 0.79 (95% CI: 0.76-0.82) in development cohort and 0.77 (95% CI: 0.76-0.78) in the validation cohort (5832 person-years of follow-up), which outperformed GRACE 2.0 and ABC-ACS risk score. The CB-ACS score was also well calibrated in development and validation cohort (Greenwood-Nam-D'Agostino: P = 0.70 and P = 0.07, respectively). CONCLUSIONS CB-ACS risk score provides a useful tool for long-term prediction of CV events in patients with ACS. This model outperforms GRACE 2.0 and ABC-ACS ischemic risk score.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective:To explore the dynamic trends of family caregivers' supportive care needs and family resilience in enterostomy patients and to analyze the reciprocal predictive relationship between the two.Methods:This study was longitudinal. Convenience sampling was used to select 370 family primary caregivers of colorectal cancer patients with enterostomy in the Affiliated Cancer Hospital of Xinjiang Medical University and the Xinjiang Bazhou People's Hospital from December 2023 to September 2024 as study subjects. Patients were surveyed using the General Information Questionnaire, Family Hardiness Index, and Supportive Care Needs Survey-Partners and Caregivers at four time points of admission (T1), discharge (T2), one month after surgery (T3), and three months after surgery (T4). Spearman correlation was used to analyze the correlation between supportive care needs of family caregivers of enterostomy patients and family resilience at different time points, and a cross-lagged model was constructed to explore the predictive role of supportive care needs on family resilience.Results:A total of 370 questionnaires were distributed and 336 valid questionnaires were finally recovered, with a valid recovery rate of 90.81% (336/370). Supportive care needs of family caregivers and family resilience of 336 family caregivers of enterostomy patients showed an increasing and then decreasing trend during hospitalization to three months after surgery ( P<0.05). Spearman correlation analysis showed that supportive care needs of family caregivers of enterostomy patients were negatively correlated with family resilience ( P<0.01). Cross-lagged model showed that supportive care needs of family caregivers of enterostomy patients at T1, T2, and T3 negatively predicted family resilience in the next period (β=-0.308, -0.204, and -0.243; all P<0.05), but not vice versa. Conclusions:Family caregiver supportive care needs and family resilience of enterostomy patients showed a dynamic trend of increasing and then decreasing during the hospitalization to three months postoperatively, and family caregiver supportive care needs are able to influence subsequent family resilience. Healthcare professionals should assess the supportive care needs of family caregivers and take targeted measures to meet their supportive care needs in a timely manner, in order to enhance the family resilience, create a good family environment for patients' recovery, and improve the quality of life of patients and their family caregivers.

Objective:To investigate the effect of infusing different doses of graft cells on viral infections and survival after allogeneic hematopoietic stem cell transplantation(allo-HSCT).Methods:Clinical data of 99 patients with hematological diseases who underwent allo-HSCT in Shanxi Bethune Hospital were retrospectively analysed.The proportion of mononuclear cells(MNC)was counted microscopically,the proportions and absolute counts of CD34+cells and lymphocyte subsets(including CD3+T,CD4+T,CD8+T,CD4+CD8+T,B,and NK cells)were detected by flow cytometry,and the infusion dose of each cell types was calculated.The patients were divided into high-dose group and low-dose group based on the median value of the infused cell dose.The effects of different doses of various graft cells on post-transplant viral infections(CMV,EBV,BKV)and survival were analyzed.Results:The low-dose MNC(＜7.97 × 108/kg)and high-dose CD4+CD8+T cell(≥3.02 × 106/kg)groups had a higher Epstein-Barr virus(EBV)infection rate(P=0.031;P=0.020).The high-dose CD34+cell group and low-dose CD3+T,CD8+T and natural killer(NK)cell groups showed a trend toward higher EBV infection rates,but the differences were not statitsically significant(P＞0.05).There was no significant difference in the rates of EBV infection between the high-dose and low-dose groups of CD4+T and B cells(P＞0.05).Multivariate analysis revealed that the doses of MNC and CD4+CD8+T cells in the graft were independent factors influencing EBV infection(P=0.023;P=0.016).The doses of cells in the graft showed no significant impact on CMV and BKV infection,or patient survival(P＞0.05).Conclusion:Infusing a lower dose of MNC and a higher dose of CD4+CD8+T cells increases the risk of EBV infection,but does not affect the survival outcome.