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.

Objective:To analyze the predictive role of WT1 expression levels pre-and early post-transplantation on relapse and overall survival(OS)in patients with acute myeloid leukemia(AML)undergoing allogeneic hematopoietic stem cell transplantation(allo-HSCT)during their first complete remission(CR1).Methods:A retrospective analysis was conducted on the clinical data of 107 adult AML patients who underwent allo-HSCT during their CR1 at our center between May 2012 and December 2021.The predictive role of bone marrow WT1 expression levels before transplantation and at 3 and 6 months post-transplantation on relapse and OS was explored in combination with relevant clinical factors.Results:The median follow-up time for the 107 patients was 70(range:11-117)months.Among the patients,15 cases died.Kaplan-Meier survial analysis showed that the 3-year overall survival(OS)rate was 85.0％.20 patients experienced relapse,with a median time to relapse of 8(range:0.5-44)months and a l-year cumulative relapse rate of 13.1％.The overall median value of WT1 before transplantation,3 months after transplantation,and 6 months after transplantation was 0.26％(range:0％-23.64％),with an upper quartile value of 0.74％.No statistically significant differences in WT1 expression levels were observed among the pre-transplantation,3-month post-transplantation,and 6-month post-transplantation time points(P=0.227).Univariate analysis showed that patients with WT1 levels＞0.74％at 3 months post-transplantation had a higher 1-year relapse rate(P=0.029)and lower 3-year OS rate(P＜0.001)compared to patients with WT1 levels ≤0.74％.Other significant factors affecting 1-year relapse included stem cell source(P=0.041)and chronic graft-versus-host disease(cGVHD)(P=0.013).For 3-year OS,additional influencing factors were genetic high risk(P=0.048)and stem cell source(P=0.016).Multivariate analysis revealed that WT1 level＞0.74％at 3 months post-transplantation had a trend to affect 1-year relapse rate(HR=3.309,95％CI:0.958-11.431,P=0.058),while the absence of cGVHD was an independent risk factor for 1-year relapse(HR=3.473,95％CI:0.749-16.100,P=0.037).Only WT1 level＞0.74％at 3 months post-transplantation was an independent risk factor for 3-year OS(HR=6.886,95％CI:2.402-19.738,P＜0.001).Conclusion:High WT1 expression level at 3 months post-transplantation in AML patients undergoing allo-HSCT during CR1 affects the 1-year relapse rate and 3-year OS,and is an independent risk factor affecting 3-year OS.These findings suggest that dynamic monitoring of WT1 expression levels has certain value in prognostic assessment of AML patients who received allo-HSCT during CR1.

Objective To explore the correlation between fasting blood glucose(FBG)level and fractional flow reserve(FFR)in patients with borderline coronary artery disease,and to clarify its potential influence on FFR measurement.Methods From August 2020 to August 2023,the data of 135 patients with coronary atherosclerotic heart disease who received coronary angiography and FFR evaluation in the Fourth Affiliated Hospital of Harbin Medical University were retrospectively collected.According to the exclusion and inclusion criteria,85 cases of borderline diseased vessels of single coronary artery with stenosis degree of 50％-80％were screened out,and they were divided into FBG≥6.1 mmol/L group(47 cases)and FBG＜6.1 mmol/L group(38 cases).The baseline data,angiographic and functional indexes of the two groups were compared,and the correlation between FBG and FFR was analyzed.Results Compared with the FBG＜6.1 mmol/L group,the FBG≥6.1 mmol/L group had a higher proportion of FFR negative results(72.3％vs.23.7％,P＜0.001),and the FFR measurement values were generally increased[0.84(0.80,0.90)vs.0.75(0.68,0.80),P＜0.001],with statistically significant differences.Pearson correlation analysis was performed on all lesions,and FFR＞0.80(negative result)was positively correlated with FBG≥6.1 mmol/L(r=0.484,P＜0.001).Conclusions Among the patients with borderline coronary artery disease(50％-80％stenosis)included in this study,FBG≥6.1 mmol/L is significantly correlated with FFR＞0.80.For patients with borderline coronary lesions with elevated FBG,the influence of blood glucose factors should be carefully considered in clinical interpretation of FFR results.

Objectives:This study aims to explore the causal relationships between immune cells and serum metabolites in the development of coronary heart disease(CHD)using Mendelian randomization(MR)methods.Methods:We conducted a two-sample MR analysis utilizing data from the FinnGen Project's genome-wide association study(GWAS)on CHD,alongside data on metabolites and immune cells from the GWAS catalog.For the identified associated metabolites,we further employed mediation MR methods to evaluate their mediating roles in the influence of immune cells on CHD.Results:The MR analysis indicated that three immune cells(IgD-CD24-%B cell,CD11b on CD14+monocyte,HLA DR on DC)had stable causal relationship with CHD(under the premise of inverse variance weighted[IVW]method P<0.05,both MR-Egger and weighted median methods also showed P<0.05).Furthermore,these immune cells were associated with CHD through four metabolites(N-acetylneuraminic acid levels,the ratio of desmethyltaurine to taurine,X-24801 and X-18779).Conclusions:This study reveals the causal relationships between immune cells and serum metabolites in the pathogenesis of CHD,providing new biomarkers for early prediction and risk assessment of CHD.

Objective To explore the correlation between fasting blood glucose(FBG)level and fractional flow reserve(FFR)in patients with borderline coronary artery disease,and to clarify its potential influence on FFR measurement.Methods From August 2020 to August 2023,the data of 135 patients with coronary atherosclerotic heart disease who received coronary angiography and FFR evaluation in the Fourth Affiliated Hospital of Harbin Medical University were retrospectively collected.According to the exclusion and inclusion criteria,85 cases of borderline diseased vessels of single coronary artery with stenosis degree of 50％-80％were screened out,and they were divided into FBG≥6.1 mmol/L group(47 cases)and FBG＜6.1 mmol/L group(38 cases).The baseline data,angiographic and functional indexes of the two groups were compared,and the correlation between FBG and FFR was analyzed.Results Compared with the FBG＜6.1 mmol/L group,the FBG≥6.1 mmol/L group had a higher proportion of FFR negative results(72.3％vs.23.7％,P＜0.001),and the FFR measurement values were generally increased[0.84(0.80,0.90)vs.0.75(0.68,0.80),P＜0.001],with statistically significant differences.Pearson correlation analysis was performed on all lesions,and FFR＞0.80(negative result)was positively correlated with FBG≥6.1 mmol/L(r=0.484,P＜0.001).Conclusions Among the patients with borderline coronary artery disease(50％-80％stenosis)included in this study,FBG≥6.1 mmol/L is significantly correlated with FFR＞0.80.For patients with borderline coronary lesions with elevated FBG,the influence of blood glucose factors should be carefully considered in clinical interpretation of FFR results.

Objectives:This study aims to explore the causal relationships between immune cells and serum metabolites in the development of coronary heart disease(CHD)using Mendelian randomization(MR)methods.Methods:We conducted a two-sample MR analysis utilizing data from the FinnGen Project's genome-wide association study(GWAS)on CHD,alongside data on metabolites and immune cells from the GWAS catalog.For the identified associated metabolites,we further employed mediation MR methods to evaluate their mediating roles in the influence of immune cells on CHD.Results:The MR analysis indicated that three immune cells(IgD-CD24-%B cell,CD11b on CD14+monocyte,HLA DR on DC)had stable causal relationship with CHD(under the premise of inverse variance weighted[IVW]method P<0.05,both MR-Egger and weighted median methods also showed P<0.05).Furthermore,these immune cells were associated with CHD through four metabolites(N-acetylneuraminic acid levels,the ratio of desmethyltaurine to taurine,X-24801 and X-18779).Conclusions:This study reveals the causal relationships between immune cells and serum metabolites in the pathogenesis of CHD,providing new biomarkers for early prediction and risk assessment of CHD.

Aim To investigate the effects of Mdivi-1 on A1 astrocyte activation and its associated signaling molecules.Methods CTX-TNA2 astrocytes were di-vided into the control,ACM,and low-,medium-,and high-dose Mdivi-1 groups based on concentration screening via CCK-8 assay.ACM,a DMEM high-glu-cose medium containing preset concentrations of IL-1α,TNF-α,and C1q,was used to induce A1 activa-tion.The ACM group was stimulated with ACM for 24 hours.Mdivi-1 groups were pretreated with correspond-ing concentrations of Mdivi-1 for 2 hours,followed by ACM stimulation for 24 hours.Real-time quantitative PCR and Western blot were employed to assess mRNA levels and protein expression of IL-1β,C3,and iNOS in all groups.Immunofluorescence and Western blot were used to detect the expression of signaling molecules NLRP3,caspase-1,and ASC.DHE labeling was used to assess and flow cytometry was used to examine reac-tive oxygen species(ROS)levels.Results The CCK-8 assay identified 5,10,and 25 μmol·L-1as ap-propriate concentrations for Mdivi-1 intervention in CTX-TNA2 cells.Real-time quantitative PCR and Western blot results indicated that,compared to the control group,IL-1 β,C3,and iNOS mRNA levels and protein expression were significantly elevated in the ACM group(P＜0.05).In contrast,these levels were significantly reduced in the 10 and 25 μmnol·L-1 Mdi-vi-1 groups compared to the ACM group(P＜0.05).Immunofluorescence and Western blot results confirmed that ACM stimulation significantly activated the NLRP3 inflammasome in astrocytes,while Mdivi-1 intervention effectively reversed the ACM-induced upregulation of NLRP3,caspase-1,and ASC.DHE staining results demonstrated that 5,10,and 25 μmol·L-1Mdivi-1 in-terventions partially reversed the ACM-induced in-crease in ROS levels in a dose-dependent manner.Conclusion Mdivi-1 effectively inhibits A1 astrocyte activation,potentially through modulation of ROS and the NLRP3 inflammasomes.

Aim To investigating the effects and mech-anisms of chlorogenic acid(CGA)on neutrophil(NEU)function and the formation of neutrophil extra-cellular traps(NETs).Methods NEU was isolated and purified from mouse bone marrow by using density gradient centrifugation method;NEU were cultivated with CGA,and the suitable concentration of CGA with NEU were explored through CCK-8 method;To observ-ing the impact of CGA on the function of NEU,we measured the migration ability of NEU,and the levels of myeloperoxidase(MPO),neutrophil elastase(NE),and matrix metalloproteinase 9(MMP-9);The histone H3 of NETs and the DNA skeleton of NEU were stained with immunofluorescence,and the cell-free DNA(cf-DNA)released by NEU was detected to ob-serve the structure of NETs;In addition,the levels of reactive oxygen species(ROS)were also examined to determine whether CGA affects the production of ROS during the release of NETs from NEU.Results There was a significant inhibitory effect on the activity of NEU at a concentration of 100,200,400 μmol·L-1 of CGA(P＜0.01);When compared with the blank group,the effects of CGA(100,200,400 μmol·L-1)on the migration ability of NEU and the ability to se-crete MPO,NE,and MMP-9 were increased(P＜0.05),the release of histone H3,DNA backbone and cf-DNA was significantly increased(P＜0.01),and the ROS produced by the cells was also significantly in-creased(P＜0.01).And the above effects are concen-tration-dependent within a certain range.Conclusion CGA can enhance the function of NEU and promote the formation of NETs,which may be related to the in-crease of intracellular ROS levels.

Objective:To investigate the association of cumulative resting heart rate(cumRHR)exposure with cardi-ovascular disease(CVD)risk and accumulation of cardiovascular risk factors in the elderly.Methods:This prospec-tive study enrolled 336 elderly physical examinees from Cangzhou People's Hospital between March and October 2016.Resting heart rate(RHR)measured by electrocardiogram was collected during three consecutive health check-ups at 2-year intervals to calculate cumRHR.Six common cardiovascular risk factors were recorded,including smoking,alcohol consumption,hypertension,diabetes,hyperuricemia,and dyslipidemia.A three-year follow-up commenced after the third health check-up,with incident CVD(including coronary heart disease and ischemic stroke)as the endpoint event.The association between cumRHR and CVD risk was assessed using a Logistic regres-sion model,with subgroup analysis stratified by gender.Spearman correlation analysis was performed to examine the association of cumRHR with the number of accumulated cardiovascular risk factors.Results:During follow-up,21 participants occurred incident CVD.Compared to participants in the no CVD group,those in CVD group had sig-nificant higher proportions of smoking(47.6％vs.20.3％,P=0.003),hypertension(61.9％vs.35.9％,P=0.017),diabetes(38.1％vs.19.1％,P=0.035),hyperuricemia(38.1％vs.13.0％,P=0.002),dyslipidemia(71.4％vs.41.9％,P=0.008)and cumRHR[(349.90±30.24)bpm*year vs.(290.77±32.43)bpm*year,P＜0.001].After adjusting for confounding factors,multivariate Logistic regression analysis showed that cumRHR was still an independent risk factor of incident CVD(OR 1.05,95％CI 1.03～1.07,P＜0.001).This association remained in subgroup analysis stratified by gender in both males and females(OR 1.05,95％CI 1.03～1.07 and OR 1.06,95％CI 1.03～1.09,respectively,P＜0.001 both).Spearman correlation analysis detected a positive correla-tion between cumRHR and number of accumulated cardiovascular risk factors≥3(r=0.459,P＜0.001).Conclu-sion:Higher cumRHR is associated with an increased risk of CVD,and there is a significant positive correlation be-tween the number of accumulated cardiovascular risk factors and the risk of elevated cumRHR.

Objective:To investigate the association of cumulative resting heart rate(cumRHR)exposure with cardi-ovascular disease(CVD)risk and accumulation of cardiovascular risk factors in the elderly.Methods:This prospec-tive study enrolled 336 elderly physical examinees from Cangzhou People's Hospital between March and October 2016.Resting heart rate(RHR)measured by electrocardiogram was collected during three consecutive health check-ups at 2-year intervals to calculate cumRHR.Six common cardiovascular risk factors were recorded,including smoking,alcohol consumption,hypertension,diabetes,hyperuricemia,and dyslipidemia.A three-year follow-up commenced after the third health check-up,with incident CVD(including coronary heart disease and ischemic stroke)as the endpoint event.The association between cumRHR and CVD risk was assessed using a Logistic regres-sion model,with subgroup analysis stratified by gender.Spearman correlation analysis was performed to examine the association of cumRHR with the number of accumulated cardiovascular risk factors.Results:During follow-up,21 participants occurred incident CVD.Compared to participants in the no CVD group,those in CVD group had sig-nificant higher proportions of smoking(47.6％vs.20.3％,P=0.003),hypertension(61.9％vs.35.9％,P=0.017),diabetes(38.1％vs.19.1％,P=0.035),hyperuricemia(38.1％vs.13.0％,P=0.002),dyslipidemia(71.4％vs.41.9％,P=0.008)and cumRHR[(349.90±30.24)bpm*year vs.(290.77±32.43)bpm*year,P＜0.001].After adjusting for confounding factors,multivariate Logistic regression analysis showed that cumRHR was still an independent risk factor of incident CVD(OR 1.05,95％CI 1.03～1.07,P＜0.001).This association remained in subgroup analysis stratified by gender in both males and females(OR 1.05,95％CI 1.03～1.07 and OR 1.06,95％CI 1.03～1.09,respectively,P＜0.001 both).Spearman correlation analysis detected a positive correla-tion between cumRHR and number of accumulated cardiovascular risk factors≥3(r=0.459,P＜0.001).Conclu-sion:Higher cumRHR is associated with an increased risk of CVD,and there is a significant positive correlation be-tween the number of accumulated cardiovascular risk factors and the risk of elevated cumRHR.