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.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To observe the influence of acupuncture for regulating the mind and replenishing qi combined with butylphthalide soft capsules on sleep parameters and neurological function in patients with sleep disorders after stroke.Methods:From May 2022 to September 2024,a total of 85 patients with sleep disorders after stroke who were admitted to our hospital were prospectively included,and they were divided into control group(received treatment with butylphthalein soft capsules,42 cases)and study group(received treatment with acupuncture for regulating the mind and replenishing qi combined with butylphthalide soft capsules,43 cases)by the double chromosphere method.Sleep parameters,sleep quality score[pittsburgh sleep quality index(PSQI),insomnia severity index(ISI)],related functional scale score[modified edinburgh scandinavian stroke scale(MMSSS),hospital anxiety and depression scale(HADS),Fugl-Meyer assessment scale(FMA),montreal cognitive assessment(MoCA)]and related serum indicators[hypersensitive C-reactive protein(hs-CRP),tumor necrosis factor-α(TNF-α),5-hydroxy tryptamine(5-HT),gama-aminobutyric acid(GABA)]were compared between the two groups.Result:The total sleep time,sleep efficiency,FMA score,MoCA score,5-HT and GABA indicators in the study group after treatment were higher than those in the control group,the number of awakenings,sleep latency,PSQI score,ISI score,MESSS score,HADS score,hs-CRP and TNF-α indicators were lower than those in the control group(P＜0.05).Conclusion:Acupuncture for regulating the mind and replenishing qi combined with butylphthalide soft capsules can effectively improve the sleep quality of patients with sleep disorders after stroke,regulate the neurological functions,reduce inflammatory factors levels,and improve the motor and cognitive function.

Objective:To construct an integrated management model for early screening and diagnosis of PCa based on the In-novative Care for Chronic Conditions Framework(ICCC)and the 1+1 contract-based tiered diagnosis and treatment system(TDTS)in China.Methods:Based on the 1+1 contract-based TDTS platform,we conducted PCa screening for the male residents aged 60 years and above during health check-ups in Pujin Community Health Center from January 1,2023 to December 31,2023.For those with abnormal total prostate-specific antigen(tPSA)≥4 μg/L,we promptly referred them to higher-level hospitals for further diagno-sis and treatment via the two-way referral green channel platform and information sharing service using the 1+1 contract model.We further analyzed the relevant data on screening and diagnosis.Results:A total of 4 080 males aged 71.39±5.059 years received PCa screening from January to December 2023.PSA screening was performed in 43.96％of the male residents,revealing 654 cases of PSA abnormality,with a PSA positivity rate of 16.03％,which was higher than that found in the previous large-scale PCa screenings in other regions of China.Among the males with PSA abnormality,292(44.65％)expressed their willingness for medical referral,while the others did not seek further medical attention for reasons of being asymptomatic,low awareness of the disease,no accompany for medical visits,and concerns about further costs of diagnosis and treatment.Prostate biopsy was recommended to 154 cases after further examinations,which was accepted by 92(59.74％).Fifty-eight cases were diagnosed with Pa,and thedetection rate reached 63.04％.Conclusion:The integrated management model for PSA examination-based early screening and diagnosis of PCa using the 1+1 contract-based TDTS platform is plays a significant role in enhancing peoples awareness and knowledge of PCa and improving the early detection rate of the malignancy.

This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

Traditional Chinese medicine(TCM), a treasure of the Chinese nation, contains abundant chemical components and demonstrates unique pharmacological activities, showing important values in clinical applications. With profound connotations and broad application prospects, TCM urgently needs us to further explore and conduct systematic research. Puerarin is a small-molecule natural isoflavonoid carbon glycoside extracted from plants of Pueraria. It is also the main active ingredient of Puerariae Lobata Radix, a Chinese herbal medicine with both medicinal and edible values. Puerarin has a variety of pharmacological effects such as blood pressure-lowering, anti-atherosclerosis, anti-ischemia-reperfusion injury, antithrombotic, anti-tumor, anti-inflammatory, liver-protecting, nerve cell-protecting, and intestinal microbiota-regulating effects. It is also an active ingredient that has been widely studied. This article comprehensively reviews the research progress in the pharmacological effects and molecular mechanisms of puerarin over the years, aiming to provide references and theoretical support for the in-depth research and development as well as clinical application of puerarin.
Isoflavones/chemistry* ; Humans ; Animals ; Drugs, Chinese Herbal/chemistry* ; Pueraria/chemistry*

Objective To investigate the protective effect and its mechanism of low-dose interleukin-2(IL-2)against hepatocyte injury in Concanavalin A(Con A)-induced autoimmune hepatitis(AIH)mice.Methods Eighteen SPF female C57BL/6 mice were randomly divided into normal group,model group and treatment group,each group with 6 mice.Mice in the treatment group were subcutaneously injected with 300 μl 10,000 U IL-2 for 12 d,once a day.2 h after the last dose,Con A(15 mg/kg)was injected through the tail vein in the model group and treatment group.After 8 h of modeling,the histopathological changes in the mouse liver were observed using HE staining,and the serum levels of aspartate aminotransferase(AST),alanine aminotransferase(ALT),tumor necrosis factor-α(TNF-α),and interferon-γ(IFN-γ)were detected using ELISA method;the expression of apoptotic protein caspase 8/9/3 was detected by Western blotting;and the percentages of Treg and Th1 cells were observed by flow cytometry.Results Compared with normal group,the liver index,spleen index,the percentage of necrotic area of liver tissue,the serum levels of ALT,AST,TNF-α and IFN-γ,and the expression of apoptosis protein caspase 8/9/3 significantly increased in the model group(P<0.05 or P<0.01);Compared with model group,the liver index,spleen index,the percentage of necrotic area of liver tissue,the serum levels of ALT,TNF-α and IFN-γ,and the expression of apoptosis protein caspase 8/9/3 significantly decreased in the treatment group(P<0.05 or P<0.01).The flow cytometry results showed that compared with normal group,the percentages of Treg and Th1 cells and Th1/Treg ratio increased in the model group(P<0.05 or P<0.01);Compared with the model group,the percentage of Treg cells further increased(P<0.01),Th1/Treg ratio decreased significantly in the treatment group(P<0.05),but there was no significant difference in the percentage of Th1 cells between two groups(P>0.05).Conclusion Low-dose of IL-2 can effectively improve liver injury in AIH mice,and the mechanism of action may be related to inducible Treg cell activation.

Objective To explore the influencing factors of cognitive impairment in non-dialysis patients with chronic kidney disease(CKD).Methods A total of 60 hospitalized non-dialysis patients with CKD in the Department of Nephrology of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from September 2022 to September 2023 were enrolled as research objects.According to the estimated glomerular filtration rate(eGFR),they were divided into stage 1 to 2 of CKD group[eGFR ≥60 mL/(min·1.73 m2)]with 23 cases,the stage 3 of CKD group[eGFR 30～＜60 mL/(min·1.73 m2)]with 20 cases,and stage 4 to 5 of CKD group[eGFR＜30 mL/(min·1.73 m2)]with 17 cases.The Montreal Cognitive Assessment Scale(MoCA)was used to evaluate the cognitive function of the patients.Basic data and common clinical laboratory in-dicators on hospital admission were collected to analyze the differences in cognitive function levels under different renal function statuses and to explore the influencing factors of cognitive impairment.Results The incidence rates of cognitive impairment in the stage 1 to 2 of CKD group,stage 3 of CKD group,and stage 4 to 5 of CKD group were 47.8％,85.0％,and 94.1％respectively,the median MoCA scored 26,24 and 20 respectively,with statistically significant between-group differ-ences(P＜0.05).Cognitive function was significantly negatively correlated with age(r=-0.634,P＜0.001),blood urea nitrogen(BUN)(r=-0.574,P＜0.001),serum creatinine(Cr)(r=-0.417,P＜0.001),cystatin C(Cys-C)(r=-0.327,P=0.011),serum β2-microglobulin(β2-MG)(r=-0.259,P=0.046),and N-terminal pro-brain natriuretic peptide(NT-proBNP)(r=-0.474,P＜0.001),and was significantly positively correlated with hemoglobin(HB)(r=0.401,P=0.001)and eGFR(r=0.485,P＜0.001).Multivariate Logistic regression analysis showed that age(P=0.006)and NT-proBNP(P=0.041)were influencing factors of cognitive im-pairment in non-dialysis patients with CKD.Receiver operating characteristic(ROC)curve analysis showed that the area under the curve(AUC),sensitivity,and specificity of age for prediction were 0.860,0.864 and 0.812 respectively,the AUC,sensitivity,and specificity of NT-proBNP for pre-diction were 0.808,0.795 and 0.875 respectively,and the combined prediction of age and NT-proBNP had an AUC,sensitivity,and specificity of 0.893,0.955,and 0.750,respectively.Conclusion As renal function deteriorates,the incidence rate and severity of cognitive impairment in non-dialysis patients with CKD tend to increase.Advanced age,renal function deterioration,high NT-proBNP level,and anemia are associated with the occurrence of cognitive impairment in non-di-alysis patients with CKD,among which age and NT-proBNP are influencing factors for cognitive im-pairment.

Objective:To observe the influence of acupuncture for regulating the mind and replenishing qi combined with butylphthalide soft capsules on sleep parameters and neurological function in patients with sleep disorders after stroke.Methods:From May 2022 to September 2024,a total of 85 patients with sleep disorders after stroke who were admitted to our hospital were prospectively included,and they were divided into control group(received treatment with butylphthalein soft capsules,42 cases)and study group(received treatment with acupuncture for regulating the mind and replenishing qi combined with butylphthalide soft capsules,43 cases)by the double chromosphere method.Sleep parameters,sleep quality score[pittsburgh sleep quality index(PSQI),insomnia severity index(ISI)],related functional scale score[modified edinburgh scandinavian stroke scale(MMSSS),hospital anxiety and depression scale(HADS),Fugl-Meyer assessment scale(FMA),montreal cognitive assessment(MoCA)]and related serum indicators[hypersensitive C-reactive protein(hs-CRP),tumor necrosis factor-α(TNF-α),5-hydroxy tryptamine(5-HT),gama-aminobutyric acid(GABA)]were compared between the two groups.Result:The total sleep time,sleep efficiency,FMA score,MoCA score,5-HT and GABA indicators in the study group after treatment were higher than those in the control group,the number of awakenings,sleep latency,PSQI score,ISI score,MESSS score,HADS score,hs-CRP and TNF-α indicators were lower than those in the control group(P＜0.05).Conclusion:Acupuncture for regulating the mind and replenishing qi combined with butylphthalide soft capsules can effectively improve the sleep quality of patients with sleep disorders after stroke,regulate the neurological functions,reduce inflammatory factors levels,and improve the motor and cognitive function.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.