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.

Background:Bushen Zhuanggu Formula(BZF),derived from the classic Yougui Pills,has shown favorable clinical efficacy in treating advanced nontraumatic osteonecrosis of the femoral head(NONFH),particularly by promoting bone repair.However,its underlying mechanisms remain unclear.Objective:This study aimed to explore the mechanisms by which BZF promotes bone repair in advanced NONFH.Materials and methods:A total of 518 potential BZF targets were identified from the ETCM v2.0 database.Transcriptomic profiling of clinical cohorts revealed 485 differentially expressed genes in advanced NONFH patients compared to healthy controls.A drug target-disease gene interaction network was constructed to identify candidate BZF targets involved in NONFH pathogenesis.In vivo experiments were conducted to validate the effects of BZF in a rat model of advanced NONFH.Results:Network analysis identified key pathways associated with blood circulation obstruction,immune-inflammatory imbalance,and abnormal bone metabolism.Protein kinase C alpha(PKCA),Ras proto-oncogene(RAS),mitogen-activated protein kinase 3(ERK),ETS proto-oncogene 1(ETS1),and receptor activator of nuclear factor-κB ligand(RANKL)formed a signaling axis implicated in NONFH pathogenesis.BZF treatment alleviated joint inflammation,preserved trabecular bone morphology,reduced bone loss,and promoted bone repair.Mechanistically,BZF significantly downregulated the expression of PKCA,RAS,ERK,ETS1,and RANKL,improved blood circulation,and inhibited osteoclast activation while promoting osteoblast activation.Conclusion:BZF may promote bone repair in advanced NONFH by enhancing blood circulation and modulating the PKC-RAS-ERK-ETS1-RANKL signaling axis,thereby reversing dysregulated bone metabolism.

Background: Bushen Zhuanggu Formula (BZF), derived from the classic Yougui Pills, has shown favorable clinical efficacy in treating advanced nontraumatic osteonecrosis of the femoral head (NONFH), particularly by promoting bone repair. However, its underlying mechanisms remain unclear. Objective: This study aimed to explore the mechanisms by which BZF promotes bone repair in advanced NONFH. Materials and methods: A total of 518 potential BZF targets were identified from the ETCM v2.0 database. Transcriptomic profiling of clinical cohorts revealed 485 differentially expressed genes in advanced NONFH patients compared to healthy controls. A drug target-disease gene interaction network was constructed to identify candidate BZF targets involved in NONFH pathogenesis. In vivo experiments were conducted to validate the effects of BZF in a rat model of advanced NONFH. Results: Network analysis identified key pathways associated with blood circulation obstruction, immune-inflammatory imbalance, and abnormal bone metabolism. Protein kinase C alpha (PKCA), Ras proto-oncogene (RAS), mitogen-activated protein kinase 3(ERK), ETS proto-oncogene 1 (ETS1), and receptor activator of nuclear factor-κB ligand (RANKL) formed a signaling axis implicated in NONFH pathogenesis. BZF treatment alleviated joint inflammation, preserved trabecular bone morphology, reduced bone loss, and promoted bone repair. Mechanistically, BZF significantly downregulated the expression of PKCA, RAS, ERK, ETS1, and RANKL, improved blood circulation, and inhibited osteoclast activation while promoting osteoblast activation. Conclusion: BZF may promote bone repair in advanced NONFH by enhancing blood circulation and modulating the PKC-RAS-ERK-ETS1-RANKL signaling axis, thereby reversing dysregulated bone metabolism.

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.

Circadian rhythm is an endogenous biological clock mechanism that enables organisms to adapt to the earth’s alternation of day and night. It plays a fundamental role in regulating physiological functions and behavioral patterns, such as sleep, feeding, hormone levels and body temperature. By aligning these processes with environmental changes, circadian rhythm plays a pivotal role in maintaining homeostasis and promoting optimal health. However, modern lifestyles, characterized by irregular work schedules and pervasive exposure to artificial light, have disrupted these rhythms for many individuals. Such disruptions have been linked to a variety of health problems, including sleep disorders, metabolic syndromes, cardiovascular diseases, and immune dysfunction, underscoring the critical role of circadian rhythm in human health. Among the numerous systems influenced by circadian rhythm, the skin—a multifunctional organ and the largest by surface area—is particularly noteworthy. As the body’s first line of defense against environmental insults such as UV radiation, pollutants, and pathogens, the skin is highly affected by changes in circadian rhythm. Circadian rhythm regulates multiple skin-related processes, including cyclic changes in cell proliferation, differentiation, and apoptosis, as well as DNA repair mechanisms and antioxidant defenses. For instance, studies have shown that keratinocyte proliferation peaks during the night, coinciding with reduced environmental stress, while DNA repair mechanisms are most active during the day to counteract UV-induced damage. This temporal coordination highlights the critical role of circadian rhythms in preserving skin integrity and function. Beyond maintaining homeostasis, circadian rhythm is also pivotal in the skin’s repair and regeneration processes following injury. Skin regeneration is a complex, multi-stage process involving hemostasis, inflammation, proliferation, and remodeling, all of which are influenced by circadian regulation. Key cellular activities, such as fibroblast migration, keratinocyte activation, and extracellular matrix remodeling, are modulated by the circadian clock, ensuring that repair processes occur with optimal efficiency. Additionally, circadian rhythm regulates the secretion of cytokines and growth factors, which are critical for coordinating cellular communication and orchestrating tissue regeneration. Disruptions to these rhythms can impair the repair process, leading to delayed wound healing, increased scarring, or chronic inflammatory conditions. The aim of this review is to synthesize recent information on the interactions between circadian rhythms and skin physiology, with a particular focus on skin tissue repair and regeneration. Molecular mechanisms of circadian regulation in skin cells, including the role of core clock genes such as Clock, Bmal1, Per and Cry. These genes control the expression of downstream effectors involved in cell cycle regulation, DNA repair, oxidative stress response and inflammatory pathways. By understanding how these mechanisms operate in healthy and diseased states, we can discover new insights into the temporal dynamics of skin regeneration. In addition, by exploring the therapeutic potential of circadian biology in enhancing skin repair and regeneration, strategies such as topical medications that can be applied in a time-limited manner, phototherapy that is synchronized with circadian rhythms, and pharmacological modulation of clock genes are expected to optimize clinical outcomes. Interventions based on the skin’s natural rhythms can provide a personalized and efficient approach to promote skin regeneration and recovery. This review not only introduces the important role of circadian rhythms in skin biology, but also provides a new idea for future innovative therapies and regenerative medicine based on circadian rhythms.

BACKGROUND AND OBJECTIVE: Patients with glioma experience a high symptom burden and have diverse palliative care needs. However, the assessment scales used in palliative care remain non-standardized and highly heterogeneous. To evaluate the application patterns of the current scales used in palliative care for glioma, we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care. METHODS: We conducted a systematic search of five databases including PubMed, Web of Science, Medline, EMBASE, and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care. We extracted data on scale characteristics, domains, frequency, and psychometric properties. Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools. RESULTS: Of the 3,405 records initially identified, 72 studies were included. These studies contained 75 distinct scales that were used 193 times. Mood (21.7%), quality of life (24.4%), and supportive care needs (5.2%) assessments were the most frequently assessed items, exceeding half of all scale applications. Among the various assessment dimensions, the Distress Thermometer (DT) was the most frequently used tool for assessing mood, while the Short Form-36 Health Survey Questionnaire (SF-36) was the most frequently used tool for assessing quality of life. The Mini Mental Status Examination (MMSE) was the most common tool for cognitive assessment. Performance status (5.2%) and social support (6.8%) were underrepresented. Only three brain tumor-specific scales were identified. Caregiver-focused scales were limited and predominantly burden-oriented. CONCLUSIONS: There are significant heterogeneity, domain imbalances, and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care. The scale selected for use should be comprehensive and user-friendly.
Humans ; Glioma/psychology* ; Palliative Care/methods* ; Quality of Life ; Psychometrics ; Brain Neoplasms/psychology*

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

Objective:To investigate the current status of life stress and hypertension among couples of childbearing age across diverse economic regions in China, and to explore relevant influencing factors.Methods:This study was a cross-sectional study, with subjects from the “Research on the standardized system of comprehensive prevention and control of birth defects based on preconception-prenatal-postnatal whole chain”. From February to May 2021, urban and rural couples of childbearing age (18-49 years old) from Beijing, Henan, and Gansu provinces were enrolled, representing the eastern, central, and western regions of China, respectively. The detection rate, cognition and control of hypertension in the general population, as well as the detection rate of hypertension in different genders and regions were analyzed. Subjects were divided into hypertensive group and non-hypertensive group based on whether their blood pressure was≥140/90 mmHg (1 mmHg=0.133 kPa), and the general clinical data of the two groups were compared. Subjects were also divided into prehypertension and hypertension group and normal blood pressure group based on whether their blood pressure was≥130/80 mmHg, and the general clinical data of the two groups were compared, with subgroup analyses conducted by gender. Multifactorial logistic regression model was applied to identify factors associated with prehypertension and hypertension in both males and females.Results:A total of 1 942 couples of childbearing age, comprising 3 884 individuals, aged (29.8±5.2) years were enrolled, with 1 942 males (50.0%). The overall hypertension detection rate was 6.3% (246/3 884), with a detection rate of 10.5% (203/1 942) in males and 2.2% (43/1 942) in females. The hypertension detection rates in Beijing, Henan, and Gansu were 6.2% (92/1 482), 11.6% (139/1 200), and 1.2% (15/1 202), respectively. The overall detection rate of prehypertension and hypertension was 40.5% (1 574/3 884). Multifactorial logistic regression analysis showed that life pressure factors had no effect on female blood pressure levels ( P>0.05), while a significant or high level of life/work pressure was a risk factor for prehypertension and hypertension in males ( OR=2.30, 95% CI 1.06-4.99, P<0.05). Conclusion:The detection rate of prehypertension and hypertension among young couples of childbearing age in China is high, with poor awareness and control of hypertension. There are sex differences in the relationship between life pressure and blood pressure levels. Comprehensive consideration of individual living environments and mental health factors is crucial in blood pressure management. Measures to reduce life stress and enhance mental resilience should be implemented to address this public health issue.