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 explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

ObjectiveTo explore the clinical safety of Feilike Mixture （FLK） in the real world. MethodsThe safety of all children who received FLK from 29 institutions in 12 provinces between January 21，2021 and December 25，2021 was evaluated through prospective centralized surveillance and a nested case control study. ResultsA total of 3 035 juveniles were included. There were 29 research centers involved，which are distributed across 12 provinces，including one traditional Chinese medicine （TCM） hospital and 28 general hospitals. The average age among the juveniles was （4.77±3.56） years old，and the average weight was （21.81±12.97） kg. Among them，119 cases （3.92%） of juveniles had a history of allergies. Acute bronchitis was the main diagnosis for juveniles，with 1 656 cases （54.46%）. FLK was first used in 2 016 cases （66.43%），and 142 juvenile patients had special dosages，accounting for 4.68%. Among them，92 adverse drug reactions （ADRs） occurred，including 73 cases of gastrointestinal system disorders，10 cases of metabolic and nutritional disorders，eight cases of skin and subcutaneous tissue diseases，two cases of vascular and lymphatic disorders，and one case of systemic diseases and various reactions at the administration site. The manifestations of ADRs were mainly diarrhea，stool discoloration，and vomiting，and no serious ADRs occurred. The results of multi-factor analysis indicated that special dosages （the use of FLK）［odds ratio （OR） of 2.642， 95% confidence interval （CI） of 1.105-6.323］，combined administration： spleen aminopeptide （OR of 4.978， 95%CI of 1.200-20.655），and reason for combined administration： anti-infection （OR of 1.814， 95%CI of 1.071-3.075） were the risk factors for ADRs caused by FLK. Conclusion92 ADRs occurred among 3 035 juveniles using FLK. The incidence of ADRs caused by FLK was 3.03%，and the severity was mainly mild or moderate. Generally，the prognosis was favorable after symptomatic treatment such as drug withdrawal or dosage reduction，suggesting that FLK has good clinical safety.

Objective: This study explored the regulatory effects of QiShen Yiqi Dropping Pills (QSYQ) on chronic heart failure (CHF) in rats and their related mechanisms based on the gut microbiota and reactive oxygen species (ROS)/thioredoxin interacting protein (TXNIP)/NOD-like receptor protein 3 (NLRP3) signaling pathway. Methods: Sixty-five SPF-grade male SD rats were used to establish a CHF model through subcutaneous multiple injections of isoproterenol (ISO) combined with exhaustion and food control methods. The modeled rats were randomly divided into model, captopril (5.30 mg/kg), and QSYQ low-, medium-, and high-dose groups (0.08, 0.16, and 0.32 g/kg, respectively), with 11 rats per group, plus a blank group of seven rats. The medication groups were given corresponding drugs by gavage, whereas the blank and model groups were administered an equivalent volume of purified water continuously for four weeks. Rat heart function was assessed via transthoracic echocardiography, and myocardial tissue pathology changes were observed through hematoxylin and eosin staining. Serum levels of brain natriuretic peptide (BNP), lipopolysaccharide (LPS), interleukin-18 (IL-18), and interleukin-1β (IL-1β) were measured using an enzyme-linked immunosorbent assay. Automated biochemical analyzers were used to determine creatine kinase (CK), lactate dehydrogenase (LDH), and MB isoenzyme of creatine kinase (CK-MB) content. Myocardial ROS levels were examined using flow cytometry; myocardial TXNIP and NLRP3 expression were detected using immunohistochemistry. Real-time qPCR and Western blotting were used to examine myocardial mRNA and protein expression of TXNIP, NLRP3, apoptosis-related spot-like protein (ASC), caspase-1, and IL-1β, as well as myocardial thioredoxin (Trx) and colonic tight junction proteins (zonula occludens-1, ZO-1), occludin, and claudin-5. Differences in the gut microbiota of the blank, model, and QSYQ high-dose groups were determined using high-throughput 16S rDNA sequencing. Results: Compared to the blank group, the model group exhibited significantly reduced left ventricular ejection fraction (LVEF) and left ventricular fraction shortening (LVFS) (P<0.01); increased serum BNP, LPS, IL-18, and IL-1β (P<0.01) levels; increased CK, LDH, and CK-MB (P<0.01) contents; visible myocardial tissue fibrous edema, wavy appearance, cytoplasmic loosening, round vacuolar degeneration, local tissue fibrous dissolution replaced by proliferative connective tissue, accompanied by inflammatory cell infiltration; significantly increased myocardial ROS levels (P<0.01); and significantly increased myocardial TXNIP and NLRP3 expression (P<0.01). TXNIP, NLRP3, ASC, caspase-1, and IL-1β mRNA and protein expression were significantly increased (P<0.05, P<0.01, respectively), whereas Trx, ZO-1, occludin, and claudin-5 expression was significantly decreased (P<0.01). Compared to the model group, the QSYQ high-dose group showed the most significant changes (P<0.05, P<0.01), with significant increases in LVEF and LVFS (P<0.01); significant decreases in serum BNP, LPS, IL-18, and IL-1β levels (P<0.01); significant reductions in CK, LDH, and CK-MB content (P<0.01); improved myocardial tissue damage; significantly decreased myocardial ROS levels (P<0.01); and significantly reduced myocardial TXNIP and NLRP3 expression (P<0.01). TXNIP, NLRP3, ASC, caspase-1, and IL-1β mRNA and protein expression were significantly decreased (P<0.05, P<0.01), whereas Trx, ZO-1, occludin, and claudin-5 expression was significantly increased (P<0.01). 16S rDNA sequencing results confirmed that the gut microbiota of rats changed after modeling and drug intervention, with significant differences in both α- and β-diversity. Compared to the blank group, at the family level, the abundance of Oscillospiraceae decreased (P<0.05), whereas the abundance of Lactobacillaceae increased. At the species level, the abundance of Segatella copri and Treponema succinifaciens increased, whereas the abundance of Kineothrix alysoides (P<0.05), Ruminococcus callidus, and Prevotellamassilia timonensis decreased. Compared to the model group, at the family level, the abundance of Oscillospiraceae increased (P<0.05) in the QSYQ high-dose group, whereas the abundance of Lactobacillaceae decreased. At the species level, the abundance of Segatella copri and Treponema succinifaciens decreased, whereas the abundance of Kineothrix alysoides increased (P<0.05). Conclusion QSYQ can regulate the relative abundance of symbiotic bacteria Kineothrix alysoides in the intestines, reduce serum LPS levels, inhibit the ROS/TXNIP/NLRP3 signaling pathway, and improve inflammatory responses, thereby exerting therapeutic effects on CHF.

Polygonatum sibiricum， as a traditional Chinese medicine with both medicinal and edible properties， has attracted considerable attention due to its functions of nourishing Yin and moistening the lungs， tonifying the spleen and benefiting Qi， and nourishing the kidneys and filling essence. Recent studies have demonstrated that Polygonatum sibiricum plays a significant role in regulating the immune system， effectively enhancing and improving the morphology and function of immune organs， stimulating the proliferation and activation of immune cells， and regulating the secretion and release of immune factors， thereby enhancing the immune function of the body and improving various immune-related diseases. Although a large number of studies have explored the pharmacological effects and mechanisms of P. sibiricum， there has been no systematic review and summary of its immune regulatory activity and mechanisms. Therefore， this article comprehensively reviews the research achievements of P. sibiricum polysaccharides and saponins in the field of immune regulation in recent years， and further sorts out the immune regulatory mechanisms of P. sibiricum in multiple aspects： including increasing the organ index of the spleen and thymus， increasing the number and activity of tumor-suppressive bone marrow hematopoietic stem cells， improving intestinal flora imbalance， regulating the quantity and proportion of T lymphocyte subsets， increasing the level of immunoglobulin， promoting the proliferation of macrophages， enhancing the activity of natural killer cells， increasing the number of white blood cells， and promoting the maturation of dendritic cells， providing a solid theoretical basis and scientific evidence for the research and application of P. sibiricum， and promoting its development and application in traditional Chinese medicine immune enhancers and various functional products.

In the context of global climate change, the impact of ambient temperature change on cardiovascular health has become increasingly significant. Epidemiological studies have shown that both high and low temperature can lead to the occurrence of adverse cardiovascular outcomes. For example, exposure to low temperature and high temperature, and diurnal temperature difference can increase the risk of cardiovascular diseases (CVD) mortality. Exposure to cold and heat, heatwaves and cold spells may induce myocardial infarction. Low temperature, high temperature and variations in temperature can increase the risk of heart failure. There are complex interactions among the effects of temperature and humidity, wind speed, radiation, precipitation and air pollution on adverse cardiovascular outcomes. Valnerable groups such as the elderly, patients with chronic diseases, and outdoor workers are particularly susceptible to temperature-related CVD risks. The mechanisms by which temperature affects adverse cardiovascular outcomes involves hemodynamic changes, autonomic nervous system dysregulation, blood rheology alterations, as well as inflammation and metabolic abnormalities, but many research gaps remain. Future studies should conduct in-depth research on mechanisms, individual differences, climate change impacts, and public health interventions to provide more effective policies and interventions to reduce the burden of CVD.

Objective To investigate the clinical value of tumor-stroma ratio (TSR) in combination with KRAS, BRAF, NRAS, and microsatellite status for prognostic assessment of patients with colorectal cancer. Methods A total of 51 colorectal cancer cases meeting the inclusion and exclusion criteria were enrolled in this study. TSR levels were evaluated through optical microscopy. The KRAS/NRAS/BRAF mutation profiles and microsatellite status were determined in accordance with genetic testing results. Clinical data, pathological characteristics, and survival outcomes were systematically recorded. Results Among the 51 patients with colorectal cancer, 19 (37.3%) were categorized into the low stromal group and 32 (62.7%) into the high stromal group. Statistically significant differences were observed between the two groups in drug resistance, M stage, TNM stage, neural invasion, and microsatellite status (P<0.05). Compared with patients exhibiting high TSR, those with low TSR demonstrated significantly increased recurrence rates (5 vs. 21 cases, P=0.007), shortened disease-free survival (34.21 vs. 14.34 months, P=0.001), and reduced overall survival (38.79 vs. 23.09 months, P=0.021). Multivariate Cox regression analysis identified N stage, M stage, TNM stage, neural invasion, lymphovascular invasion, and TSR as independent risk factors for disease-free survival. N stage, M stage, neural invasion, lymphovascular invasion, and TSR emerged as independent prognostic factors for overall survival (P<0.05). Although the combined models of TSR with KRAS, NRAS, BRAF, and microsatellite status, respectively, demonstrated overall statistical significance (P<0.05), none of the dummy variables in these models reached individually statistical significance (P>0.05), and therefore cannot be considered independent prognostic factors. Conclusion TSR serves as an independent predictor of poor prognosis in advanced colorectal cancer, with patients exhibiting low TSR demonstrating a significantly higher risk of recurrence and metastasis than those with high TSR. For patients with colon cancer undergoing first-line palliative chemotherapy after postoperative recurrence, histopathological assessment of TSR in primary tumor sites holds prognostic value and may serve as a relevant factor for evaluating treatment resistance in clinical management.

This document targets digital human metabolic chamber platforms and specifies construction standards and testing protocols covering the full lifecycle of " build-test-operate." It encompasses chamber engineering and environmental control, digital platform and cybersecurity architecture, metabolic measurement and multimodal data acquisition, as well as quantitative system performance and data quality indicators with verifiable acceptance tests. By standardizing architecture, interfaces, and quality control, the specification enables multicenter data interoperability and harmonized quality management, providing high-quality, verifiable, and traceable infrastructure to support precision metabolism research and clinical translation in China.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.