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.

ObjectiveSpinal cord injury (SCI) directly impairs the regulatory function of the autonomic nervous system, induces intestinal dysfunction, and significantly reduces patients’ quality of life. Preclinical studies have shown that electroacupuncture (EA) therapy can regulate the brain-gut axis and is used to treat central nervous system diseases such as major depressive disorder, Alzheimer’s disease and Parkinson’s disease. Recent research has established that fecal microbiota transplantation (FMT) from EA-treated SCI rats restored intestinal motility and colonic morphology. However, it remains unclear whether the regulation of gut microbiota by EA therapy directly contributes to neural repair after SCI. This study aims to explore whether gut microbiota mediates the neuroprotective effect of EA in the treatment of SCI and its possible mechanism. MethodsThe study employed RNA transcriptome analysis of spinal cord tissue to characterize gene expression profiles and to identify key signaling pathways following EA treatment for SCI. Hematoxylin-Eosin (HE) staining and Nissl staining were used to observe the morphological changes in spinal cord tissue. Western blot (WB) and enzyme-linked immunosorbent assay (ELISA) were applied to detect the effects of EA on the expression of proteins related to nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) -dependent pyroptosis. Using 16S rDNA sequencing, the study observed alterations in gut microbiota diversity and community composition in SCI rats. Prior to establishing SCI models, rats were pretreated with an antibiotic cocktail to induce gut dysbiosis, and the effects on intestinal function and spinal cord neural repair were evaluated. FMT was performed to investigate the regulatory effects of post-EA FMT on motor function, general status, liver and spleen indices, and NLRP3-mediated pyroptosis in SCI rats. ResultsEA improved motor function and reduced regulated neuronal cell death in SCI rats. Transcriptomic analysis demonstrated the activation of immune- and inflammation-related pathways post-SCI, including NOD-like receptors, nuclear factor-kappa B(NF-κB), and Toll-like receptor (TLR) pathways. EA primarily influenced intestinal inflammation and autoimmune functions. 16S rDNA sequencing illustrated that EA did not alter the diversity of gut microbiota. However, EA altered the gut microbiota composition in SCI rats, increasing Lactobacillus and Akkermansia genera while rebalancing the Firmicutes/Bacteroidetes ratio. Furthermore, depletion of gut microbiota by antibiotics disrupted the intestinal barrier, reduced the expression of intestinal barrier proteins Zonula Occludens-1 (ZO-1) and Occludin, elevated serum lipopolysaccharide-binding protein (LBP) levels, exacerbated spinal cord tissue damage, and hindered motor function recovery in SCI rats. FMT from donors treated with EA reduced LBP levels in the intestine, blood, and spinal cord of rats, inhibited the TLR4 myeloid differentiation primary response protein 88 (MyD88)-NF‑κB pathway and NLRP3-dependent pyroptosis, and improved motor function. On the other hand, FMT treatment resulted in decreased body weight and food intake, whereas FMT using EA-treated donors effectively alleviated these alterations. ConclusionEA effectively alleviated neuroinflammatory responses in rats with SCI, primarily through regulating the gut microbiota and suppressing the NLRP3-dependent pyroptosis signaling pathway.

ObjectiveSpinal cord injury (SCI) directly impairs the regulatory function of the autonomic nervous system, induces intestinal dysfunction, and significantly reduces patients’ quality of life. Preclinical studies have shown that electroacupuncture (EA) therapy can regulate the brain-gut axis and is used to treat central nervous system diseases such as major depressive disorder, Alzheimer’s disease and Parkinson’s disease. Recent research has established that fecal microbiota transplantation (FMT) from EA-treated SCI rats restored intestinal motility and colonic morphology. However, it remains unclear whether the regulation of gut microbiota by EA therapy directly contributes to neural repair after SCI. This study aims to explore whether gut microbiota mediates the neuroprotective effect of EA in the treatment of SCI and its possible mechanism. MethodsThe study employed RNA transcriptome analysis of spinal cord tissue to characterize gene expression profiles and to identify key signaling pathways following EA treatment for SCI. Hematoxylin-Eosin (HE) staining and Nissl staining were used to observe the morphological changes in spinal cord tissue. Western blot (WB) and enzyme-linked immunosorbent assay (ELISA) were applied to detect the effects of EA on the expression of proteins related to nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3) -dependent pyroptosis. Using 16S rDNA sequencing, the study observed alterations in gut microbiota diversity and community composition in SCI rats. Prior to establishing SCI models, rats were pretreated with an antibiotic cocktail to induce gut dysbiosis, and the effects on intestinal function and spinal cord neural repair were evaluated. FMT was performed to investigate the regulatory effects of post-EA FMT on motor function, general status, liver and spleen indices, and NLRP3-mediated pyroptosis in SCI rats. ResultsEA improved motor function and reduced regulated neuronal cell death in SCI rats. Transcriptomic analysis demonstrated the activation of immune- and inflammation-related pathways post-SCI, including NOD-like receptors, nuclear factor-kappa B(NF-κB), and Toll-like receptor (TLR) pathways. EA primarily influenced intestinal inflammation and autoimmune functions. 16S rDNA sequencing illustrated that EA did not alter the diversity of gut microbiota. However, EA altered the gut microbiota composition in SCI rats, increasing Lactobacillus and Akkermansia genera while rebalancing the Firmicutes/Bacteroidetes ratio. Furthermore, depletion of gut microbiota by antibiotics disrupted the intestinal barrier, reduced the expression of intestinal barrier proteins Zonula Occludens-1 (ZO-1) and Occludin, elevated serum lipopolysaccharide-binding protein (LBP) levels, exacerbated spinal cord tissue damage, and hindered motor function recovery in SCI rats. FMT from donors treated with EA reduced LBP levels in the intestine, blood, and spinal cord of rats, inhibited the TLR4 myeloid differentiation primary response protein 88 (MyD88)-NF‑κB pathway and NLRP3-dependent pyroptosis, and improved motor function. On the other hand, FMT treatment resulted in decreased body weight and food intake, whereas FMT using EA-treated donors effectively alleviated these alterations. ConclusionEA effectively alleviated neuroinflammatory responses in rats with SCI, primarily through regulating the gut microbiota and suppressing the NLRP3-dependent pyroptosis signaling pathway.

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.

Diagnosis-related groups (DRG) payment is an important component of deepening the reform of medical insurance payment methods. In June 2023, a tertiary hospital launched an intelligent DRG grouping audit system to enhance grouping accuracy. By establishing a multi departmental collaborative organizational structure, building a standardized knowledge base and a rule base covering five categories (diagnosis, fees, testing, nursing, and pathology), and integrating electronic medical records, medical orders, testing, and imaging data throughout the entire diagnosis and treatment process, the intelligent DRG grouping audit system with data collection, identification, extraction, comparison, and output modules was constructed to achieve intelligent audit. At the same time, it was formed a closed-loop management system for pre reporting quality control, in-process group entry control, and post data analysis and assessment, which would prevent the risk of differentiated behaviors such as high coding and high sets, and ensure the reasonable use of medical insurance funds. By January 2024, the system had covered 89 ADRG groups, and improved the efficiency and quality of DRG grouping audit. Compared with February to May 2023, the monthly average rejection rate of medical records on the first page decreased by 9.4% after the system was put into operation (June to December 2023), and core medical indicators such as the number of DRG groups, medical insurance settlement cases, and time consumption index continued to improve. The practical experience could provide reference and inspiration for other hospitals in China.

Objective To investigate the knowledge of tuberculin skin test(TST)among healthcare workers and provide evidence for improving the standardization of TST screening in primary healthcare staff.Methods A questionnaire survey was conducted among 248 licensed physicians or nurses who were qualified as licensed physicians or nurses and responsible for TST work from 27 districts/counties of Chongqing in 2023.The awareness of TST-related knowledge and its influencing factors were statistically analyzed.Results The average TST knowledge score of 248 healthcare workers was(78.3±10.6)points.The overall awareness rate was 78.9%(8 213/10 416),with specific rates as follows:65.4%(1 135/1 736)for tubercu-losis knowledge,87.3%(3 248/3 720)for TST general knowledge,53.4%(795/1 488)for TST principles,88.0%(1 964/2 232)for TST procedures,and 86.4%(1 071/1 240)for TST result interpretation.Nurses showed higher awareness rates than physicians and other staff(P＞0.05).Healthcare workers from medium-epidemic areas demonstrated significantly higher awareness rates than those from high-and low-epidemic are-as(P＜0.001).No statistically significant differences were observed in gender,age,occupation type,institu-tion type,or regional epidemic level between the qualified group and non-qualified group about TST-related knowl-edge(P＞0.05).Conclusion Healthcare workers exhibit incomplete mastery of TST-related knowledge.Strengthening TST-related knowledge training for standardizing TST implementation.

Mineral oil contaminants composed of saturated hydrocarbons(MOSH)and aromatic hydrocarbons(MOAH)are commonly found in edible oils and related processed foods.Currently,the analysis of mineral oils primarily employs the liquid chromatography-gas chromatography-flame ionization detector(LC-GC-FID)method.Liquid chromatography is used to purify and separate MOSH and MOAH from interfering substances,and the interface technology transfers MOSH or MOAH into different GC channels for quantitative analysis.The MOSH and MOAH chromatograms typically exhibit an irregular hump shape,with sharp peaks above the hump representing natural hydrocarbon interferences,which usually do not affect the identification of the hump profile.However,when the purification of interferences is incomplete,they can form one or more gaps above the hump,interfering with the accurate judgment and delineation of the hump profile,and leading to poor reproducibility of analysis results of mineral oil.In this study,an algorithm that mimicked the manual drawing of the hump shape or contour was proposed for automatically determining the mineral oil hump contour(i.e.,the lower envelope line).The algorithm used a multiple second-order difference quotient filtering method to identify and remove the gaps above the hump.The method involved first searching and determining the lowest value of the mineral oil hump,which was the valley point sequence,and then applying second-order difference quotient filtering to the valley point sequence.Compared to the hump,the second-order difference quotient of sharp peaks was a significantly larger negative value.By filtering out the points in the valley point sequence with larger negative second-order difference quotients(or multiple second-order difference quotients),the sharp peaks above the hump were removed.To verify the accuracy of the algorithm,42 different types of samples,including edible oils and milk powders were analyzed,using both the automatic algorithm and manual methods.The results showed that there were no significant differences in the detected mineral oil contents between these two methods.

Lentiviral vectors(LVs)are key gene delivery tools for integrating target genes into the host genome,but they may also pose risks of insertional mutagenesis.The vector copy number(VCN)in cells is critical for determining the safety of gene modification.However,the reliability and accuracy of its quantification process are influenced by multiple factors.Developing cell reference materials with specific vector copy numbers represents a viable approach to enhance the reliability and consistency of measurement results,enabling quality control of the quantification process and traceability of outcomes.However,the preparation of such reference materials faces challenges in cell sample design,preparation protocols,and advanced quantification techniques.In this study,T lymphocyte cell line Jurkat-based reference materials with LV gene copy numbers of 1 and 2 copy/cell were developed.A high-precision duplex digital polymerase chain reaction(dPCR)method was established to quantify the LV gene and endogenous genes simultaneously.Additionally,the results of dPCR were cross-validated through next-generation sequencing and flow cytometric analysis.Ultimately,confocal microscopy characterization results showed that the developed cell reference materials had intact morphology.The quantification result of VCN-1 was(1.07±0.11)copy/cell,and that of VCN-2 was(2.09±0.21)copy/cell.These cell reference materials demonstrated compliance with stability and homogeneity requirements,and could be applied for quality control throughout the VCN measurement workflow and metrological traceability,improving the accuracy,comparability,and validity of copy number measurements.

Objective To construct an aptamer-functionalized carboxylated graphene oxide(CGO)fluo-rescent sensor to achieve highly sensitive and specific detection of ketamine(KET)and its metabolite norketamine(NK)using an aptamer capable of simultaneously recognizing KET and NK.Methods A specific aptamer for simultaneous recognition of KET and NK was screened using graphene oxide-sys-tematic evolution of ligand by exponential enrichment(GO-SELEX)and molecular docking tech-niques.The aptamer,labeled with Cy5 fluorescence,was chemically conjugated to CGO to construct an aptamer-functionalized CGO fluorescent sensor.By optimizing detection conditions,including the mass concentration of CGO,aptamer concentration,reaction temperature,and incubation time,quantita-tive analysis of the target analytes was achieved using the ratio of fluorescence intensity changes be-fore and after target addition.The stability of the sensor in biological matrices was evaluated by moni-toring fluorescence intensity changes over incubation time in blank blood and urine,in comparison with the traditional physical adsorption-based CGO fluorescent sensor.Spiked recovery experiments in blank blood and urine were conducted to compare performance with that of HPLC-MS/MS.Results A specific aptamer A5 was selected and chemically conjugated with CGO to construct the aptamer-functionalized CGO fluorescent sensor.Under optimized conditions,the proposed fluorescent sensor ex-hibited a linear detection range of 1.0-5.0 ng/mL for KET,with a limit of detection(LOD)of 0.86 ng/mL;while for NK,the linear detection range was 1.0-5.0 ng/mL,with an LOD of 0.70 ng/mL.Com-pared with the CGO fluorescent sensor constructed via physical adsorption,this sensor demonstrated greater stability in blood and urine.The spiked recovery rates of KET and NK in blank blood and urine ranged from 81.50%to 110.03%,exhibiting detection performance comparable to that of HPLC-MS/MS.Conclusion The aptamer screening method offers a novel approach for selecting aptamers tar-geting drugs and their metabolites.The constructed aptamer-functionalized CGO fluorescent sensor pro-vides an efficient and reliable strategy for the high-performance detection of KET and NK.

Objective To explore the levels of serum matrix metalloproteinase-16(MMP-16)and growth differentiation factor-15(GDF-15)in elderly patients with tibial plateau fracture and its predictive value for postoperative deep veinous thrombosis(DVT).Methods A total of 107 elderly patients with tibial plateau fracture admitted to the First Affiliated Hospital of Gannan Medical University from February 2020 to Febru-ary 2024 were collected as study subjects.They were divided into DVT group(n=39)and non-DVT group(n=68)according to whether or not they had formed DVT at 7 d postoperative.The enzyme-linked immu-nosorbent assay was used to detect serum MMP-16 and GDF-15 preoperative,1 d postoperative and 3 d post-operative,and other clinical data of the study subjects were collected.Pearson correlation analysis was used to analyze the correlation between serum MMP-16,GDF-15 and venous thromboembolism risk assessment scale(Caprini)score.Logistic regression analysis was used to analyze the relationship between serum MMP-16,GDF-15 and postoperative DVT.The receiver operating characteristic(ROC)curve was used to evaluate the predictive value of the two indicators for postoperative DVT.Results The serum MMP-16 and GDF-15 level of two groups were first increased and then decreased at 1 d preoperative,1 d postoperative and 3 d postopera-tive(P＜0.05).Serum MMP-16 and GDF-15 levels were higher in DVT group than in non-DVT group at 1 d postoperative and 3 d postoperative(P＜0.05).Serum MMP-16,GDF-15 at 1 d postoperative and 3 d postop-erative were positive associated with Caprini score,respectively(both P＜0.05).Elevated Caprini score,ele-vated D-D,elevated serum MMP-16 and GDF-15 at 3 d postoperative were independent risk factors for DVT(OR=3.445,1.652,1.841,1.715,all P＜0.05).The area under the ROC curve of serum MMP-16,GDF-15 at 3 d postoperative and indicators combined to predict DVT was 0.798,0.792 and 0.895,respectively.The com-bined predictive value of indicators combined was greater than that of single indicator(Z=2.253,2.346,both P＜0.05).Conclusion Serum MMP-16 and GDF-15 expression are upregulated after tibial plateau fracture in elderly patients,which the indicators combined can predict the risk of DVT.