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 understand the distribution, species composition, seasonal fluctuations, and presence of Dabie bandavirus in ticks in Tai'an City, providing a basis for assessing tick-borne disease risks and formulating prevention strategies. Methods Free-living ticks were monitored using the flagging method, whereas parasitic ticks were monitored through host surface examination. Reverse transcription-polymerase chain reaction (RT-qPCR) was used to detect the presence of Bandavirus dabieense in tick specimens. Results The density of free-living ticks in Tai'an City showed a continuous decreasing trend over the 3 years from 2021 to 2023, with an average tick density of 0.43 ticks/(flag·100 m). The dominant habitats were scenic areas and forests, and the seasonal fluctuations exhibited a bimodal pattern, peaking in March and August. The only free-living tick species captured was Haemaphysalis longicornis. Over the 3 years, the average tick index for parasitic ticks was 1.85, with sheep as the primary host. Seasonal fluctuations also followed a bimodal pattern, peaking in March and August. The primary parasitic tick species captured were H. longicornis and Rhipicephalus sanguineus. No Dabie bandavirus was detected in the tick specimens. Conclusions Tick density in Tai'an City remains relatively high, necessitating continued efforts to enhance tick surveillance and implement targeted prevention measures in rural environments to further reduce the health risks posed by tick-borne diseases.

To improve the understanding of L?effler endocarditis, we retrospectively analyzed six patients with eosinophilia, predominantly characterized by L?effler endocarditis, who were treated at the First Affiliated Hospital of Soochow University from January 2019 to October 2024. Among the 6 patients, 5 were male, with a median age of 45.5 years (31–77 years). All patients demonstrated increased white blood cell count and eosinophil count in peripheral blood. Clinical symptoms and imaging examination were considered as L?effler endocarditis, and two cases were complicated by cerebral infarction. Fusion gene testing was completed in five patients, with cases 4 and 5 demonstrating FIP1L1::PDGFRA fusion gene positivity, and case 6 with TLS::ERG (+) acute myeloid leukemia. Two patients with FIP1L1::PDGFRA positivity achieved rapid remission after imatinib treatment. Case 6 experienced symptom relief after glucocorticoids and hydroxyurea treatment, followed by complete remission after chemotherapy with the cytarabine (20 mg q12 h × 14 days), idarubicin (5 mg on days 2–12 every other day), and G-CSF (adjusted based on blood counts) regimen. After 8 months, the patient underwent allogeneic hematopoietic stem cell transplantation but died 1 year post-transplantation due to disease relapse complicated by infection. The remaining three patients demonstrated improvement after glucocorticoid treatment. Except for case 6, the other patients were still alive, with case 4 relapsing at 28 months after imatinib discontinuation and relieved after treatment re-initiation.

The long non-coding RNA KCNQ1OT1 plays an important role in promoting the occurrence and development of various cancers.However,there is currently no systematic analysis of KCNQ1OT1 in pan cancer.To elucidate the value of KCNQ1OT1 in tumor diagnosis and prognosis,this study analyzed its expression levels in pan-cancer tissues and its impact on patient prognosis.By analyzing the regulatory mechanism of KCNQ1OT1 in gastric cancer,new molecular targets may be found for the diagnosis and treatment of gastric cancer.Using Sangerbox 3.0,ACLBI and UALCAN databases,we found the expres-sion levels of KCNQ1OT1 were increased in 7 tumor tissues types(P＜0.05).We found KCNQ1OT1 ex-pression was correlated with poor prognosis in many tumor types using Sangerbox 3.0 database.We used R software to analyze the differential genes between the high and low expression groups of KCNQ1OT1 in gastric cancer patients(P＜0.05,|log2FoldChange|＞1).The GO and KEGG enrichment analysis showed that KCNQ1OT1 was involved in the glutamine metabolism of gastric cancer.The cell counting and Western blot detection showed that knocking down KCNQ1OT1 significantly reduced the gastric canc-er cell activity,SLC1A5 expression level and SLC1A5-mediated glutamine transport process(P＜0.01).Bioinformatics,RNA immunoprecipitation and dual luciferase analysis confirmed that KCNQ1OT1 com-petitively bind to miR-138-5p to promote the expression of SLC1A5.Finally,ChIP-seq data was used to detect the high H3K27ac signaling at the gene locus of KCNQ1OT1,and ChIP-qPCR was used to verify that P300-mediated enhancer activity regulated the high expression of KCNQ1OT1 in gastric cancer.KC-NQ1OT1 can serve as an independent diagnostic biomarker and prognostic predictor in various tumors.Targeting the KCNQ1OT1/miR-138-5p/SLC1A5 signaling axis to regulate glutamine metabolism may pro-vide new strategies and molecular targets for the treatment of gastric cancer.

Objective:To explore the clinical characteristics and prognostic risk factors of Mycoplasma pneumoniae pneumonia(MPP)in adults across different age groups,providing evidence for age-stratified management strategies.Methods:A retrospective analysis was conducted on 80 MPP patients admitted to the Respiratory Department of a hospital between January 2023 and December 2024.Patients were divided into three groups based on age:young adults(18-40 years),middle-aged adults(41-60 years),and elderly adults(≥ 61 years).Demographic features,clinical indicators,and mixed infections were analyzed.Univariate and multivariate Logistic regression were used to identify risk factors for disease severity.Results:The severity rate was significantly higher in the elderly group(41.2％)compared to the young adult group(7.1％)and middle-aged group(20.0％)(P=0.022).Elderly patients also exhibited significantly higher rates of underlying diseases(chronic lung disease:35.3％vs.3.6％in young adults),elevated inflammatory markers(C-reactive protein:68.3±19.5 mg/L vs.32.5±8.4 mg/L in young adults),mixed infections(52.9％vs.14.3％),and prolonged hospital stays(8.61±2.22 days vs.5.01±1.11 days)(P＜0.05).Multivariate analysis identified age(OR=1.79 per 10 years),chronic lung disease(OR=3.25),blood urea nitrogen ≥6 mmol/L(OR=2.44),and mixed infections(OR=4.26)as independent risk factors for severe MPP(P＜0.05).Conclusion:Clinical manifestations and prognoses of MPP in adults vary significantly across age groups.Elderly patients are characterized by high mixed infection rates,intense inflammatory responses,and renal function impairment,necessitating individualized monitoring and intervention strategies.

Objective:To quantitatively evaluate the policy texts on mutual recognition of examination and inspection results at the national and local levels in China from 2006 to 2025 based on the PMC index model,and provide reference for policy formulation and improvement.Methods:The ROSTCM6 software was used to sort out and conduct text mining on 27 policy documents issued at the national and local levels,establishing the PMC index model for the mutual recognition of examination and inspection results in China.Quantitative analysis was conducted through a PMC evaluation system consisting of 9 first-level variables and 39 second-level variables.Results:The average PMC index was 6.06(excellent level).Among the 27 policies,4 were rated as perfect,18 as excellent,and 5 as acceptable.Conclusions:Current policies need to strengthen the formulation of scientific and feasible goals,improve legal guarantees and medical insurance coordination mechanisms,and build a complete data security maintenance system to provide policy support and guarantees for the continuous advancement of the mutual recognition of examination and inspection results.

To improve the understanding of L?effler endocarditis, we retrospectively analyzed six patients with eosinophilia, predominantly characterized by L?effler endocarditis, who were treated at the First Affiliated Hospital of Soochow University from January 2019 to October 2024. Among the 6 patients, 5 were male, with a median age of 45.5 years (31–77 years). All patients demonstrated increased white blood cell count and eosinophil count in peripheral blood. Clinical symptoms and imaging examination were considered as L?effler endocarditis, and two cases were complicated by cerebral infarction. Fusion gene testing was completed in five patients, with cases 4 and 5 demonstrating FIP1L1::PDGFRA fusion gene positivity, and case 6 with TLS::ERG (+) acute myeloid leukemia. Two patients with FIP1L1::PDGFRA positivity achieved rapid remission after imatinib treatment. Case 6 experienced symptom relief after glucocorticoids and hydroxyurea treatment, followed by complete remission after chemotherapy with the cytarabine (20 mg q12 h × 14 days), idarubicin (5 mg on days 2–12 every other day), and G-CSF (adjusted based on blood counts) regimen. After 8 months, the patient underwent allogeneic hematopoietic stem cell transplantation but died 1 year post-transplantation due to disease relapse complicated by infection. The remaining three patients demonstrated improvement after glucocorticoid treatment. Except for case 6, the other patients were still alive, with case 4 relapsing at 28 months after imatinib discontinuation and relieved after treatment re-initiation.

OBJECTIVE: To investigate the clinical features and prognosis of central nervous system (CNS) invasion in peripheral T-cell lymphoma (PTCL) and construct a risk prediction model for CNS invasion. METHODS: Clinical data of 395 patients with PTCL diagnosed and treated in the First Affiliated Hospital of Zhengzhou University from 1st January 2013 to 31st December 2022 were analyzed retrospectively. RESULTS: The median follow-up time of 395 PTCL patients was 24(1-143) months. There were 13 patients diagnosed CNS invasion, and the incidence was 3.3%. The risk of CNS invasion varied according to pathological subtype. The incidence of CNS invasion in patients with anaplastic large cell lymphoma (ALCL) was significantly higher than in patients with angioimmunoblastic T-cell lymphoma (AITL) (P <0.05). The median overall survival was significantly shorter in patients with CNS invasion than in those without CNS involvement, with a median survival time of 2.4(0.6-127) months after diagnosis of CNS invasion. The results of univariate and multivariate analysis showed that more than 1 extranodal involvement (HR=4.486, 95%CI : 1.166-17.264, P =0.029), ALCL subtype (HR=9.022, 95%CI : 2.289-35.557, P =0.002) and ECOG PS >1 (HR=15.890, 95%CI : 4.409-57.262, P <0.001) were independent risk factors for CNS invasion in PTCL patients. Each of these risk factors was assigned a value of 1 point and a new prediction model was constructed. It could stratify the patients into three distinct groups: low-risk group (0-1 point), intermediate-risk group (2 points) and high-risk group (3 points). The 1-year cumulative incidence of CNS invasion in the high-risk group was as high as 50.0%. Further evaluation of the model showed good discrimination and accuracy, and the consistency index was 0.913 (95%CI : 0.843-0.984). CONCLUSION The new model shows a precise risk assessment for CNS invasion prediction, while its specificity and sensitivity need further data validation.
Humans ; Lymphoma, T-Cell, Peripheral/pathology* ; Prognosis ; Retrospective Studies ; Central Nervous System Neoplasms/pathology* ; Neoplasm Invasiveness ; Male ; Female ; Central Nervous System/pathology* ; Middle Aged ; Adult

BACKGROUND: Prior studies have shown that drivers with type 2 diabetes are more likely to be involved in motor vehicle collisions (MVCs) compared to the general population. Certain meteorological factors have been increasingly recognized as contributors to MVC risk. This study aims to examine the association of MVCs with temperature, rainfall, wind speed, and sunshine duration among drivers with type 2 diabetes. METHODS: Using Taiwan's National Health Insurance data (2019-2021), we identified individuals diagnosed with type 2 diabetes and linked their records to the Police-Reported Traffic Accident Registry to obtain daily MVC counts. Meteorological data were sourced from the Central Weather Administration. Associations between daily weather conditions and MVCs were assessed using a Distributed Lag Non-Linear Model. RESULTS: Over the 1,096-day study period, 170,468 MVC events involving drivers with type 2 diabetes were recorded. A U-shaped association was observed between same-day temperature and MVC rates. Compared with the reference temperature of 17.5 °C, both lower temperatures (≤15 °C; rate ratio [RR] = 1.014-1.053) and higher temperatures (≥30 °C; RR = 1.062) were associated with increased MVC risk. Rainfall showed an inverse relationship with MVCs. Compared with 70 mm of rainfall, the lowest MVC rate occurred at 129 mm (RR = 0.873), while the highest was on rain-free days (0 mm; RR = 1.068). Stronger effects were observed when lag periods up to 14 days were considered. Wind speed and sunshine duration were not significantly associated with MVC risk. CONCLUSIONS These findings suggest that drivers with type 2 diabetes should exercise greater caution on days with extreme temperatures or in days with lesser rainfall, as these conditions may elevate MVC risk.
Humans ; Diabetes Mellitus, Type 2/epidemiology* ; Taiwan/epidemiology* ; Accidents, Traffic/statistics & numerical data* ; Male ; Middle Aged ; Female ; Weather ; Aged ; Adult ; Temperature ; Risk Factors