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.

This study was aimed at exploring the interaction between the nucleoprotein(NP)of influenza A virus(IAV)and TRIM25.The physicochemical properties and protein structure of IAV NP protein were analyzed through bioinformatics methods.The interaction between IAV NP and TRIM25 proteins was simulated with molecular docking techniques,and the in-teraction sites were predicted.With the cDNA of the A/Puerto Rico/8/1934(H1N1)PR8 strain as the template,the NP pro-tein was cloned into the eukaryotic expression vector pCMV-C-Flag through PCR amplification,the eukaryotic expression re-combinant plasmid pCMV-Flag-NP was constructed,and the expression was further verified.The protein expression levels of pCMV-Flag-NP and pCMV-HA-TRIM25 were detected at various time periods.The interaction between NP protein and TRIM25 protein was verified by co-immunoprecipitation.The co-localization of NP protein and TRIM25 protein in cells was ob-served with laser confocal microscopy.Bioinformatics analysis revealed that the NP protein consists of 498 amino acids and 20 amino acids,and is an unstable hydrophilic protein.The NP protein has multiple phosphorylation sites,as well as N-glycosyla-tion and O-glycosylation sites,but no transmembrane domain or signal peptide domain.Additionally,the NP protein's second-ary structure consists of a high proportion of alpha-helices and random coils.The molecular docking prediction results indicated that IAV NP interacts with TRIM25 protein and has multiple potential interaction sites,including the 233rd alanine,234th ala-nine,236th lysine,and 440th alanine of the NP protein.After successfully constructing and expressing the IAV NP protein,we verified the interaction between IAV NP and TRIM25 protein by immunoprecipitation and laser confocal microscopy obser-vations.Our results together suggested that the structure of the IAV NP protein is closely related to its function,and its im-portance to the virus is clear.In addition,the interaction between IAV NP and TRIM25 protein may be associated with TRIM25's anti-influenza virus mechanism.Further in-depth research may provide new ideas for anti-influenza virus strategies.

Objective:To Investigate the impact of blood glucose fluctuations within 24 hours of admission on the short-term (3-month) prognosis of patients with acute pancreatitis.Methods:A total of 416 patients with acute pancreatitis admitted to the Department of Gastroenterology of the First Affiliated Hospital of Nanchang University from November 2022 to October 2023 were enrolled as the research subjects. According to whether re-admission occurred within 3 months after discharge, they were divided into good prognosis group ( n=352) and poor prognosis group ( n=64). General data, laboratory indicators, and blood glucose values within 24 hours of admission [including initial blood glucose, 24-hour average blood glucose, maximum blood glucose, minimum blood glucose, standard deviation of blood glucose (SDBG), and largest amplitude of glycemic excursion (LAGE)] were compared between the two groups. Logistic regression analysis was used to identify risk factors affecting the prognosis of patients with acute pancreatitis. Receiver operating characteristic curves (ROC) were plotted and the area under the curve (AUC), sensitivity, and specificity were calculated, so as to evaluate the predictive efficacy of each indicator for the prognosis of patients with acute pancreatitis. Results:Compared with the good prognosis group, the poor prognosis group showed significantly higher levels of initial blood glucose [12.80(7.13, 17.75) mmol/L vs 8.90(6.80, 11.60) mmol/L], maximum blood glucose [16.15(13.45, 21.10) mmol/L vs 11.2(9.10, 14.40) mmol/L], SDBG [4.19(2.47, 5.03) mmol/L vs 1.79(1.15, 2.81) mmol/L], and LAGE [5.15(3.58,7.65) mmol/L vs 4.05(2.40, 5.70) mmol/L], as well as a significantly longer length of hospital stay [10.5(6, 26.75) days vs 9(6, 15) days], with all differences being statistically significant (all P value <0.05). Multivariate logistic regression analysis showed that initial blood glucose ( OR=1.201, 95% CI 1.099-1.313), SDBG ( OR=1.681, 95% CI 1.306-2.164), LAGE ( OR=1.848, 95% CI 1.524-2.240), and length of hospital stay ( OR=1.136, 95% CI 1.082-1.193) were influencing factors for the prognosis of patients with acute pancreatitis. ROC analysis showed that the AUC values for initial blood glucose, SDBG, LAGE, and length of hospital stay were 0.741(0.676-0.806), 0.794 (0.728-0.860), 0.836(95% CI 0.793-0.879), and 0.847(95% CI 0.807-0.887), respectively, with sensitivities of 80.1%, 91.8%, 60.8%, and 64.8%, and specificities of 56.3%, 56.3%, 93.8%, and 93.8%. Conclusions:Blood glucose fluctuations within 24 hours of admission are risk factors for poor prognosis in patients with acute pancreatitis.

Objective To explore the clinical effect of totally laparoscopic total gastrectomy combined with hand-sewn esophagojejunos-tomy for gastric cancer.Methods Ninety cases of gastric cancer patients were seleted,of which 45 cases undergoing Roux-en-Y esophagoje-junostomy for digestive tract reconstruction were set as the control group,while 45 cases undergoing hand-sewn esophagojejunostomy for digestive tract reconstruction were set as the observation group.Patients in the control group underwent laparoscopic-assisted total gastrectomy combined with Roux-en-Y esophagojejunostomy to reconstruct digestive tract,while patients in the observation group underwent totally laparoscopic total gastrectomy combined with hand-sewn esophagojejunostomy to reconstruct digestive tract.The perioperative indicators and complications of patients in the two groups were compared.Results The surgical time,time of esophagojejunostomy,and time to get out of bed after surgery of patients in the observation group were significantly shorter than those in the control group(P<0.05),the pain score 24 hours after surgery was significantly lower than that in the control group(P<0.05).There was no statistically significant difference between the two groups in terms of the incidence of complications or Clavien-Dindo grading(P>0.05).Conclusion Hand-sewn esophagojejunostomy for digestive tract reconstruction has a good clinical effect in gastric cancer during totally laparoscopic total gastrectomy.It can shorten the surgical time and time of esophagojejunostomy,reduce postoperative pain,and accelerate postoperative recovery,whose safety is comparable to Roux-en-Y esophagojejunostomy.

Objective To explore the value of deep learning image reconstruction(DLIR)by comparing subjective and objec-tive evaluation of DLIR and adaptive statistical iterative reconstruction(ASIR-V)images in gastric cancer CT.Methods Abdominal CT images in the venous phase of 80 untreated patients with primary gastric cancer were included,and five CT reconstruction meth-ods of 50％ASIR-V,80％ASIR-V,DLIR-low(DLIR-L),DLIR-medium(DLIR-M)and DLIR-high(DLIR-H)were adopted,respec-tively.The objective evaluation included background standard deviation(SD),signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)values and pericancerous fat density resolution.The subjective evaluation included SD,overall image quality,the display of gastric cancer lesions,and diagnostic confidence in whether the serosal surface of the gastric wall was infiltrated.Results The subjective and objective evalua-tion indicators showed statistically significant differences among the five reconstruction models(P＜0.001).In terms of objective evalua-tion,the SD value of gastric cancer lesions in the DLIR-H was the lowest,while the SNR and CNR values were the highest among the five groups.In terms of subjective evaluation,the DLIR-M had the highest scores in gastric cancer lesions display,overall image quality and diagnostic confidence among the five groups.Conclusion Compared with ASIR-V,DLIR can significantly reduce image noise and improve image quality,and DLIR-M and DLIR-H are respectively the optimal subjective and objective reconstruction models for showing gastric cancer lesions.

This study was aimed at exploring the interaction between the nucleoprotein(NP)of influenza A virus(IAV)and TRIM25.The physicochemical properties and protein structure of IAV NP protein were analyzed through bioinformatics methods.The interaction between IAV NP and TRIM25 proteins was simulated with molecular docking techniques,and the in-teraction sites were predicted.With the cDNA of the A/Puerto Rico/8/1934(H1N1)PR8 strain as the template,the NP pro-tein was cloned into the eukaryotic expression vector pCMV-C-Flag through PCR amplification,the eukaryotic expression re-combinant plasmid pCMV-Flag-NP was constructed,and the expression was further verified.The protein expression levels of pCMV-Flag-NP and pCMV-HA-TRIM25 were detected at various time periods.The interaction between NP protein and TRIM25 protein was verified by co-immunoprecipitation.The co-localization of NP protein and TRIM25 protein in cells was ob-served with laser confocal microscopy.Bioinformatics analysis revealed that the NP protein consists of 498 amino acids and 20 amino acids,and is an unstable hydrophilic protein.The NP protein has multiple phosphorylation sites,as well as N-glycosyla-tion and O-glycosylation sites,but no transmembrane domain or signal peptide domain.Additionally,the NP protein's second-ary structure consists of a high proportion of alpha-helices and random coils.The molecular docking prediction results indicated that IAV NP interacts with TRIM25 protein and has multiple potential interaction sites,including the 233rd alanine,234th ala-nine,236th lysine,and 440th alanine of the NP protein.After successfully constructing and expressing the IAV NP protein,we verified the interaction between IAV NP and TRIM25 protein by immunoprecipitation and laser confocal microscopy obser-vations.Our results together suggested that the structure of the IAV NP protein is closely related to its function,and its im-portance to the virus is clear.In addition,the interaction between IAV NP and TRIM25 protein may be associated with TRIM25's anti-influenza virus mechanism.Further in-depth research may provide new ideas for anti-influenza virus strategies.

Objective To explore the clinical effect of totally laparoscopic total gastrectomy combined with hand-sewn esophagojejunos-tomy for gastric cancer.Methods Ninety cases of gastric cancer patients were seleted,of which 45 cases undergoing Roux-en-Y esophagoje-junostomy for digestive tract reconstruction were set as the control group,while 45 cases undergoing hand-sewn esophagojejunostomy for digestive tract reconstruction were set as the observation group.Patients in the control group underwent laparoscopic-assisted total gastrectomy combined with Roux-en-Y esophagojejunostomy to reconstruct digestive tract,while patients in the observation group underwent totally laparoscopic total gastrectomy combined with hand-sewn esophagojejunostomy to reconstruct digestive tract.The perioperative indicators and complications of patients in the two groups were compared.Results The surgical time,time of esophagojejunostomy,and time to get out of bed after surgery of patients in the observation group were significantly shorter than those in the control group(P<0.05),the pain score 24 hours after surgery was significantly lower than that in the control group(P<0.05).There was no statistically significant difference between the two groups in terms of the incidence of complications or Clavien-Dindo grading(P>0.05).Conclusion Hand-sewn esophagojejunostomy for digestive tract reconstruction has a good clinical effect in gastric cancer during totally laparoscopic total gastrectomy.It can shorten the surgical time and time of esophagojejunostomy,reduce postoperative pain,and accelerate postoperative recovery,whose safety is comparable to Roux-en-Y esophagojejunostomy.

Objective To explore the value of deep learning image reconstruction(DLIR)by comparing subjective and objec-tive evaluation of DLIR and adaptive statistical iterative reconstruction(ASIR-V)images in gastric cancer CT.Methods Abdominal CT images in the venous phase of 80 untreated patients with primary gastric cancer were included,and five CT reconstruction meth-ods of 50％ASIR-V,80％ASIR-V,DLIR-low(DLIR-L),DLIR-medium(DLIR-M)and DLIR-high(DLIR-H)were adopted,respec-tively.The objective evaluation included background standard deviation(SD),signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)values and pericancerous fat density resolution.The subjective evaluation included SD,overall image quality,the display of gastric cancer lesions,and diagnostic confidence in whether the serosal surface of the gastric wall was infiltrated.Results The subjective and objective evalua-tion indicators showed statistically significant differences among the five reconstruction models(P＜0.001).In terms of objective evalua-tion,the SD value of gastric cancer lesions in the DLIR-H was the lowest,while the SNR and CNR values were the highest among the five groups.In terms of subjective evaluation,the DLIR-M had the highest scores in gastric cancer lesions display,overall image quality and diagnostic confidence among the five groups.Conclusion Compared with ASIR-V,DLIR can significantly reduce image noise and improve image quality,and DLIR-M and DLIR-H are respectively the optimal subjective and objective reconstruction models for showing gastric cancer lesions.

OBJECTIVE: We aimed to investigate the patterns of fasting blood glucose (FBG) trajectories and analyze the relationship between various occupational hazard factors and FBG trajectories in male steelworkers. METHODS: The study cohort included 3,728 workers who met the selection criteria for the Tanggang Occupational Cohort (TGOC) between 2017 and 2022. A group-based trajectory model was used to identify the FBG trajectories. Environmental risk scores (ERS) were constructed using regression coefficients from the occupational hazard model as weights. Univariate and multivariate logistic regression analyses were performed to explore the effects of occupational hazard factors using the ERS on FBG trajectories. RESULTS: FBG trajectories were categorized into three groups. An association was observed between high temperature, noise exposure, and FBG trajectory ( P < 0.05). Using the first quartile group of ERS1 as a reference, the fourth quartile group of ERS1 had an increased risk of medium and high FBG by 1.90 and 2.21 times, respectively (odds ratio [ OR] = 1.90, 95% confidence interval [ CI]: 1.17-3.10; OR = 2.21, 95% CI: 1.09-4.45). CONCLUSION An association was observed between occupational hazards based on ERS and FBG trajectories. The risk of FBG trajectory levels increase with an increase in ERS.
Humans ; Male ; Adult ; Blood Glucose/analysis* ; China ; Prospective Studies ; Occupational Exposure/adverse effects* ; Risk Factors ; Middle Aged ; Steel ; Fasting/blood* ; Metal Workers ; East Asian People