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.

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 effect of low-dose aspirin combined with dydrogesterone in the treatment of patients with polycystic ovary syndrome (PCOS) complicated with infertility and its influence on hormones and helper T cytokines.Methods:300 PCOS patients with infertility in the Second Affiliated Hospital of Air Force Military Medical University were selected from January 2018 to October 2023. A prospective randomized controlled study was performed. The study subjects were divided into control group and observation group by random envelope method, with 150 cases in each group. The control group was treated with dydrogesterone on the basis of routine intervention, while the observation group was combined with low-dose aspirin on the basis of the control group. The efficacy, pregnancy rate, hormones, Th1 and Th2 cytokines and incidence of adverse reactions were compared in between groups. Measurement data with normal distribution was represented by xˉ± s. Comparison between groups was performed by two-sample t-test and paired t-test was used for comparison before and after treatment. Enumeration data was represented by n(%). Comparison between groups was performed by χ2 test. Results:After treatment, the total effective rate of treatment and pregnancy rate in observation group were higher than those in control group [86.00%(129/150) vs. 74.67% (112/150), 63.33% (95/150) vs. 47.33% (71/150)] ( χ2=6.10, P=0.014, χ2=6.73, P=0.010). Serum levels of follicle-stimulating hormone (FSH) and luteinizing hormone (LH) in both groups were lower after treatment than those before treatment, and the levels in observation group were lower than those in control group [(5.27±1.01) U/L vs. (6.40±1.13) U/L, (6.78±0.87) U/L vs. (7.16±0.91) U/L], and serum estradiol level was higher than that before treatment, and the level in observation group was higher compared to control group [(93.35±8.17) ng/L vs. (82.45±9.14) ng/L] ( t=9.13, 3.70, 10.89, all P<0.001). After treatment, serum γ-interferon, interleukin (IL-2), IL-4 and IL-6 levels were all lower in both groups than those before treatment, and the above levels were lower in observation group than those in control group [(56.96±4.64) ng/L vs. (61.36±4.41) ng/L, (38.74±7.43) ng/L vs.(45.63±8.64) ng/L, (41.03±7.06) ng/L vs. (43.36±8.12 ng/L), (23.14±4.33) ng/L vs. (27.14±5.14) ng/L] ( t=8.42, 7.40, 2.65, 7.29, P<0.001, <0.0 010.008, <0.001). There was no statistical significance in the total incidence rate of adverse reactions between observation group and control group [12.67%(22/150) vs. 9.33% (14/150), χ2=0.85, P=0.356]. Conclusions:Low-dose aspirin combined with dydrogesterone has a significant clinical effect in the treatment of PCOS with infertility, and it can improve 3-month pregnancy rate, and effectively regulate hormones levels and Th1 and Th2 cytokines, and it will not increase adverse reactions, with high safety.

By using a strategy of leveraging the ability of metal-organic frameworks(MOFs)materials to precisely regulate the spatial orientation of cyclodextrins(CD),a polystyrene-modified γ-cyclodextrin metal-organic frameworks(PS-CD-MOFs)capillary coating was established and applied to the chiral separation of amino acids in open-tubular capillary electrochromatography(OT-CEC)based on the excellent film-forming property of polystyrene(PS).Characterization results by Fourier transform infrared spectroscopy(FT-IR),X-ray diffraction(XRD)indicated that PS was successfully grafted onto the surface of CD-MOFs.The modification significantly improved the structural stability and thermal stability of CD-MOFs while maintaining the integrity of the MOFs.The PS-CD-MOFs coated capillary electrophoresis system exhibited excellent performance in separating dansylated amino acid enantiomers(Dns-D,L-AAs).Specifically,under the optimal separation conditions(Sodium dodecyl sulfate/boric acid buffer system,20 cm capillary,and 10 kV effective voltage),good separation was achieved for D,L-methionine(D,L-Met)and D,L-serine(D,L-Ser).Further quantitative analysis showed that Dns-D,L-Met presented a good linear relationship in the concentration range of 10.0-1500.0 μmol/L,with a correlation coefficient close to 0.998,demonstrating high sensitivity and repeatability.Not only did it overcome the problem that traditional CD(used as additives in capillary electrophoresis)could not precisely control the spatial orientation of chiral resolvents,but also it solved the issues of insufficient stability and bonding amount of CD-MOFs coatings by utilizing the excellent film-forming property of polymers on the inner wall of capillaries.This study provided an efficient and controllable new strategy for construction of chiral separation stationary phases.

Objective To explore the microstructural characteristics of white matter in patients with acute ischemic stroke and their relationship with collateral circulation.Methods In all,150 patients with acute ischemic stroke admitted to our hospi-tal from January 2023 to May 2024 were selected as the study subjects,and another 150 healthy volunteers during the same peri-od were selected as the control group to compare the general clinical data of the two groups.All subjects underwent head MRI examination to extract microstructural features of brain white matter and analyze the correlation between microstructural fea-tures of brain white matter and brain white matter lesions.According to the formation status of collateral circulation,150 pa-tients with acuteischemic stroke were divided into good collateralcirculation group(n=91)and poor collateral circulation group(n=59).The general clinical data and microstructure characteristics of white matter were compared between the two groups.The predictive value of microstructurecharacteristics of white matter for stroke,white matter lesions,and poor collater-al circulation were analyzed using ROC curves.Results Comparing the general information between the healthy group and the stroke group,it could be seen that there were significant differences between the two groups in terms of smoking history,hyper-lipidemia history,hypertension history,LDL-C,HDL-C,FIB,and D-D(all P<0.05);The brain white matter fiber bundles with statistically significant FA values in the healthy and stroke groups included:cerebellar peduncle,pontine chiasmatic tract,corpus callosum,fornix column and fornix body,right corticospinal tract,left corticospinal tract,right cerebellar peduncle,left cerebellar peduncle,right anterior radial crown,and left anterior radial crown;The brain white matter fiber bundles with statistically sig-nificant MD values in the healthy and stroke groups included:cerebellar peduncle,pontine chiasmatic tract,right cerebellar pe-duncle,left cerebellar peduncle,right external capsule,left external capsule,and right frontal occipital bundle;The brain white matter fiber bundles with statistically significant RD values in the healthy and stroke groups included:cerebellar peduncle,pon-tine chiasmatic tract,left corticospinal tract,right cerebellar peduncle,left cerebellar peduncle,right cerebellar peduncle,left cer-ebellar peduncle,right external capsule,and left external capsule;The brain white matter fiber bundles with statistically signifi-cant AD values in the healthy and stroke groups included:midcerebellar peduncle,right medial thalamus,left medial thalamus,right superior cerebellar peduncle,left superior cerebellar peduncle,right posterior thalamic radiation,right sagittal layer,right external capsule,left external capsule,right cingulate and left cingulate.Correlation analysis showed that the FA values of the cerebellar peduncle,pontine chiasmatic tract,corpus callosum,fornix column and fornix body,right corticospinal tract,left corti-cospinal tract,right cerebellar peduncle,left cerebellar peduncle,right anterior radial crown,and left anterior radial crown were significantly negatively correlated with the white matter lesion score(all P<0.05);The MD values of the cerebellar peduncle,pontine chiasmatic tract,right cerebellar peduncle,left cerebellar peduncle,right external capsule,left external capsule,and right frontal occipital tract were significantly positively correlated with the white matter lesion score(all P<0.05);The RD values of the cerebellar peduncle,pontine chiasmatic tract,left corticospinal tract,right cerebellar peduncle,left cerebellar peduncle,right cerebellar peduncle,left cerebellar peduncle,right external capsule,and left external capsule were significantly positively correla-ted with the white matter lesion score(all P<0.05);The AD values of the cerebellar peduncle,right cerebellar peduncle,left cerebellar peduncle,right external capsule,and left external capsule were significantly positively correlated with the white matter lesion score(all P<0.05),while the AD values of the right medial thalamus,left medial thalamus,right posterior thalamus radi-ation,right sagittal layer,right cingulate and left cingulate were significantly negatively correlated with the white matter lesion score(all P<0.05).Comparing the general information between good collateral circulation group and poor collateral circulation group,it could be seen that there was a significant difference in the white matter lesion score between the two groups of patients(P<0.05).The ROC analysis showed that FA,MD,RD,and AD values in the cerebellar midfoot had good predictive value for stroke,white matter injury,and collateral circulation disorders,and the combined diagnostic efficacy of the four values was high-er than the diagnostic efficacy of each value alone.Conclusion The microstructure of white matter in patients with acute ische-mic stroke exhibits varying degrees of damage.Changes in FA,MD,AD,and RD values in the white matter of the cerebellar pe-duncle can be used to differentiate collateral circulation status,and the combined diagnostic efficacy of the four is better.

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.

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.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.