ObjectiveQi deficiency and phlegm dampness syndrome is a common type of clinical traditional Chinese medicine（TCM） syndrome. However， there is no standard， scientific， and accurate report on the construction of animal models of Qi deficiency and phlegm dampness syndrome. This study aims to construct a mouse model of Qi deficiency and phlegm dampness syndrome by using a multi-factor composite modeling method and to evaluate the model. MethodsTwenty-one C57BL/6 mice were randomly divided into three groups with seven mice in each group， which were the normal group， model group， and Shenling Baizhusan （SLBZ） group. The control group was fed with ordinary diet and kept in a normal environment. The model group and SLBZ group were fed with a high-fat diet in a high-humidity environment. Swimming with heavy weights until exhaustion and gavage with cold water or lard were used to establish the mouse model of Qi deficiency and phlegm dampness syndrome. In order to test the syndrome by prescription， mice in the SLBZ group were treated with SLBZ for 14 days after model construction. The exhaustive swimming time， body weight， serum lipid levels， tongue changes， "Qi deficiency and phlegm dampness" assessment scale score， and cecal index of mice in each group were measured. The feces of each group of mice were sent for metagenomics and metabolome sequencing， and the changes in intestinal flora and metabolites were analyzed. ResultsAfter the modeling of Qi deficiency and phlegm dampness syndrome， the exhaustive swimming time of mice was obviously shortened （P<0.01）. The serum total cholesterol， low density lipoprotein cholesterol， and non-high density lipoprotein cholesterol of mice were significantly increased （all P<0.01）. The tongue of mice was significantly different from that of the normal group， and the score of the assessment scale was significantly higher than that of the control group （P<0.01）. Cecal index decreased significantly （P<0.01）. The serum lipid level， tongue image， assessment scale score， and cecal index were reversed in the SLBZ group. Metagenomic and metabolome sequencing results showed that intestinal flora and fecal metabolites were significantly changed in mice with Qi deficiency and phlegm dampness syndrome. Akkermansia_muciniphila， Faecalibaculum_rodentium， Eubacterium_plexicaudatum， Eubacterium sp 14_2， Candida glabrata， Romboutsia_ilealis， Turicibacter sp TS3， and other bacteria had significant changes， and the expressions of intestinal metabolites such as chenodeoxycholic acid， choline， L-phenylalanine betaine， and 2-phenylbutyric acid were significantly changed. Related metabolic pathways such as linoleic acid metabolism， primary bile acid biosynthesis， lysine degradation， arginine biosynthesis， and alpha-linolenic acid metabolism were affected. ConclusionThe Qi deficiency and phlegm dampness model of mice can be constructed by the multi-factor composite modeling method of high-fat diet feeding， high-humidity environment feeding， exhaustive swimming with heavy weight， and intragastric administration with cold water or lard. The blood lipid level， tongue change， score of "Qi deficiency and phlegm dampness assessment scale"， cecal index， and changes in related intestinal flora and metabolites of mice can be used as key indicators for model evaluation.

AIM: To analyze the factors influencing total corneal surgically induced astigmatism(SIA)following implantable collamer lens(ICL)implantation.METHODS:This prospective study enrolled 162 patients(162 eyes)who underwent ICL implantation at our hospital between July 2023 and January 2024. Based on preoperative assessment of anticipated postoperative residual astigmatism, different incisions were selected. Superior incision was selected for patients with expected residual astigmatism with the rule in 75 eyes, and temporal incision was selected for patients with expected residual astigmatism againist the rule in 87 eyes. Parameters including total corneal refractive power, incision length, internal ostium-to-visual axis distance, central corneal thickness, preoperative total corneal astigmatism, and corneal diameter were measured using the Pentacam anterior segment analyzer before and at 3 mo after surgery. Postoperative total corneal SIA was calculated based on the changes in total corneal refractive power. Multiple linear regression analysis was performed to assess the influence of the above parameters on postoperative total corneal SIA.RESULTS:A total of 162 cases(162 eyes)that implanted with ICL were included in the analysis, and 8 cases were lost to follow-up, with a loss rate of 4.9%. Eventually 154 cases(154 eyes)completed the research. The superior incision group comprised 72 cases(72 eyes), including 17 males and 55 females, with a mean age of 25.96±6.17 years, while the temporal incision group comprised 82 cases(82 eyes), including 20 males and 62 females, with a mean age of 27.79±6.47 years. No significant difference in postoperative total corneal SIA was observed between the two groups [0.31(0.21, 0.49)D vs. 0.27(0.13, 0.485)D, P=0.159]. Multiple linear regression analysis revealed that internal ostium-to-visual axis distance and preoperative total corneal astigmatism significantly influenced postoperative total corneal SIA in the superior incision group(P=0.001). The regression equation was: postoperative total corneal SIA=0.71-0.381×internal ostium-to-visual axis distance+0.16×preoperative total corneal astigmatism. No significant influencing factors for postoperative total corneal SIA were identified in the temporal incision group.CONCLUSION: During ICL implantation, the magnitude of total corneal SIA is comparable between superior and temporal incisions. For patients receiving a superior incision, the internal ostium-to-visual axis distance and preoperative total corneal astigmatism value can be used to quantitatively predict postoperative total corneal SIA to a certain extent, thereby aiding in the optimization of postoperative visual quality.

ObjectiveTo investigate the migration and distribution characteristics of chemical constituents in blood and hippocampal tissues before and after vinegar processing of Citri Reticulatae Pericarpium Viride（CRPV）， and to explore the potential material basis and mechanisms underlying their regulatory effects on emotional disorders by comparing the effects of raw and vinegar-processed products of CRPV. MethodsUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was employed to characterize and identify the chemical constituents of raw and vinegar-processed products of CRPV extracts， as well as their migrating components in blood and hippocampal tissues after oral administration. Reference standards， databases， and relevant literature were utilized for compound annotation， with data processing performed using PeakView 1.2 software. Seventy male C57BL/6 mice were randomly divided into seven groups， including the blank group， model group， diazepam group（2.5 mg·kg^-1）， raw CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， and vinegar-processed CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， with 10 mice per group. Except for the blank group， all other groups underwent chronic restraint stress（2 h·d^-1） for 20 d. Each drug-treated group received oral administration at the predetermined dose starting 10 d after modeling， with a total treatment duration of 10 d. Following model-based drug administration， mice underwent open-field， forced swimming， and elevated plus maze tests. After anesthesia with isoflurane， whole brains were collected from each group of mice， and hippocampi were dissected. Reactive oxygen species（ROS） level in hippocampal tissues was quantified by enzyme-linked immunosorbent assay（ELISA）. Hematoxylin-eosin（HE） staining was used to observe hippocampal tissue morphology. Immunofluorescence was performed to detect neuronal nuclei（NeuN） and peroxisome proliferator-activated receptor alpha（PPARα） expressions in hippocampal tissue. Then， pharmacodynamic evaluations were conducted to assess the effects of raw and vinegar-processed CRPV on mood disorders， exploring the potential mechanisms. ResultsVinegar processing caused significant changes in the chemical composition of CRPV， with 18 components showing increased relative content and 35 components showing decreased relative content. The primary changes occurred in flavonoid compounds， including 20 flavonoids， 20 flavonoid glycosides， 3 triterpenes， 3 phenolic acids， 1 alkaloid， and 6 other compounds. Twenty-one components were detected in blood（15 methoxyflavones， 4 flavonoid glycosides， and 2 phenolic acids）， with 17 shared between raw and vinegar-processed CRPV. Seven components reached hippocampal tissues（all common to both forms）. In regulating emotional disorders， Vinegar-processed CRPV exhibited superior antidepressant-like effects compared to raw products. HE staining revealed that both treatments improved hippocampal neuronal morphology， particularly in the damaged CA1 and CA3 regions. Immunofluorescence and ELISA analyses demonstrated that both raw and vinegar-processed CRPV significantly modulated NeuN and PPARα expressions in hippocampal tissue while alleviating oxidative stress induced by excessive ROS（P<0.05）. ConclusionThe chemical composition of CRPV undergoes changes after vinegar processing， but the migrating components in blood and hippocampus are primarily methoxyflavonoids. These components may serve as the potential material basis for activating the PPARα pathway， thereby negatively regulating ROS generation in the hippocampus， reducing oxidative stress， and promoting the development of NeuN-positive neurons. These findings provide experimental evidence for enhancing quality standards， pharmacodynamic material research， and active drug development of raw and vinegar-processed CRPV.

OBJECTIVE:A great deal of evidence indicates that regular exercise can improve the health status of elderly individuals,including reducing overall and abdominal fat levels,increasing muscle mass and bone mineral density of the limbs,thereby preventing or delaying the onset of sarcopenia and its comorbidities.This study aims to determine the most reliable type,duration,and intensity of exercise interventions through meta-analysis to prevent,delay,and alleviate sarcopenia and its comorbidities in elderly individuals.METHODS:Randomized controlled trials examining the effects of exercise interventions on elderly individuals with sarcopenia and its comorbidities were searched in the PubMed,Embase,Web of Science,Cochrane Library,CNKI,and WanFang databases.The Cochrane Risk of Bias Tool was used to assess the quality of the included studies,and RevMan 5.3 software was employed for meta-analysis.Subgroup analyses were conducted to explore the effects of different exercise intervention protocols on various outcome measures.In addition,Stata 16.0 software was used to perform sensitivity analysis to assess the stability of the results,and funnel plots and Egger's test were employed to evaluate publication bias,ensuring the comprehensiveness and reliability of the results.RESULTS:(1)Sixteen studies involving 861 patients with sarcopenia and its comorbidities were included.(2)The meta-analysis results indicated that,compared with the control group,exercise significantly improved grip strength,knee muscle strength,appendicular skeletal muscle mass,skeletal muscle index,Timed Up and Go test results,gait speed,and insulin-like growth factor 1 levels(P＜0.05).However,the effect of exercise intervention on the sit-to-stand test was not significantly improved(P＞0.05).(3)Based on the results of subgroup analysis,it is recommended that elderly patients with sarcopenia and its comorbidities engage in exercise at least three times per week,with each session lasting no more than 30 minutes or exceeding 45 minutes,for at least 12 weeks.The exercise protocol should be flexibly adjusted according to the patient's health status and individual needs.CONCLUSION:Exercise interventions significantly improve muscle mass,muscle strength,physical function,and insulin-like growth factor 1 levels in elderly individuals with sarcopenia and its comorbidities,thereby enhancing their quality of life.However,further research is needed to validate these findings and optimize specific intervention protocols.

OBJECTIVE To explore the mechanism of action of Qingre huatan huoxue decoction against atherosclerosis （AS）based on macrophage polarization. METHODS Using atorvastatin served as the positive control， the drug-containing serum of the Qingre huatan huoxue decoction was prepared to treat RAW264.7 macrophages. Macrophage viability， apoptosis rate， and the fluorescence intensities of CD86 and CD206 were measured， along with the levels of tumor necrosis factor-α （TNF-α） and interleukin-1β （IL-1β）. Apolipoprotei n E-deficient （ApoE －/－ ） mice （AS model mice） fed with a high-fat diet were randomly assigned to model group， atorvastatin group （2.6 mg/kg）， and low-， medium- and high-dose groups of Qingre huatan huoxue decoction （90， 180， 360 mg/kg）， respectively. C57BL/6J mice fed with a standard diet served as the normal control group， with 10 mice per group. The treatment group mice were administered the corresponding drugs intragastrically， once daily， for 8 consecutive weeks. Serum levels of TNF-α and IL-1β were measured in all groups. Lipid deposition in the aorta （assessed by the percentage of plaque in the entire aorta and aortic root） and morphological changes in the aortic root were observed. Expression levels of CD86 and CD206 in aortic tissue， as well as the protein expression levels of inducible nitric oxide synthase （iNOS）， arginase-1 （Arg-1）， AMP-activated protein kinase （AMPK）， phosphorylated AMPK （p-AMPK）， and peroxisome proliferator-activated receptor γ （PPAR-γ） in aortic tissues were all detected. RESULTS Cell experiment results showed that， at concentrations of 5-100 μg/mL， the drug-containing serum of the Qingre huatan huoxue decoction significantly increased RAW264.7 cell viability （ P ＜0.05）. The drug-containing serum of the Qingre huatan huoxue decoction at concentrations of 10， 50， and 100 μg/mL， along with atorvastatin， significantly reduced apoptosis rates， CD86 fluorescence intensity， and TNF-α and IL-1β levels in RAW264.7 cells， while markedly enhancing CD206 fluorescence intensity （ P ＜0.05）. Animal experiment results showed that， compared with the model group， all dosage groups of Qingre huatan huoxue decoction and the atorvastatin group showed significantly reduced/down-regulated levels of TNF-α and IL-1β in serum， along with decreased aortic total and root plaque percentages， CD86 expression， and iNOS protein expression. CD206 expression and Arg-1， p-AMPK/AMPK， PPAR-γ protein expression were significantly up-regulated （ P ＜0.05）. Pathological morphology of the aorta showed varying degrees of improvement. CONCLUSIONS The formula of Qingre huatan huoxue decoction exerts its anti-AS effects by regulating macrophage polarization， increasing the proportion of M2 macrophages， thereby effectively inhibiting AS plaque formation and reducing inflammatory responses.

Objective: To investigate the preventive and reparative mechanisms of platelet-rich plasma-biodegradable quick setting spray (PRP-BQSS) on solar dermatitis, thereby providing a safe and effective novel therapeutic approach for clinical application. Methods: PRP-BQSS was prepared. A ultraviolet B (UVB)-induced solar dermatitismodel was established in SPF-grade male SD rats. The rats were divided into the prevention experiment (treated with PRP-BQSS, L' Oréal SPF 50+sunscreen, Nature's Hall SPF 50+sunscreen, or saline) and the treatment experiment (treated with PRP-BQSS, Jingwanhong ointment, Green ointment, or saline). The effects were evaluated by measuring epidermal thickness (HE staining) and quantifying the integrated optical density (IOD) of inflammatory cells (CD11b staining). One-way ANOVA and Tukey's HSD test were performed using GraphPad Prism 9.4.0. Results: The PRP-BQSS exhibited significant efficacy in both prevention and repair. In the prevention experiment, the PRP-BQSS prevention group (Group A) showed only mild pale red erythema on the dorsal skin of rats, without significant swelling or desquamation. Histological analysis revealed that epidermal thickness in Group A (36.55±6.58 μm) was comparable to Groups B (L' Oréal, 34.84±6.59 μm) and C (Natural Hall, 34.59±8.20 μm)(P>0.05), but significantly lower than that in Group D (control group, 47.82±11.69 μm). Skin sections from Group A demonstrated intact epidermal structure with clear stratification and no significant inflammatory cell infiltration. The CD11b-positive cell count (24.30±7.43) was significantly lower than that in Group D (33.65±8.47, P<0.05). In the treatment experiment, HE staining of Group A (PRP-BQSS treatment group) showed intact epidermal structure with orderly arrangement of the basal layer, spinous layer, and granular layer, thin and uniform stratum corneum, and regular collagen fiber arrangement. The epidermal thickness of Group A (37.10±6.41 μm) showed no significant difference from Groups B (Jingwanhong ointment group, 38.66±9.07 μm) or C (Green ointment group, 35.72±4.98 μm)(P>0.05), but was significantly lower than that in Group D (control group, 48.35±8.99 μm)(P<0.05). The integral optical density value of CD11b-positive cells in Group A (32.82±11.01) was significantly lower than that in Group D (47.25±13.52, P>0.05). Moreover, the degree of inflammatory infiltration in Group A was relatively lower compared to Group B (37.14±9.20) and Group C (34.32±16.87), suggesting a superior repair capacity. However, the intergroup differences were not statistically significant (P>0.05). Conclusion: PRP-BQSS hydrogel dressing possesses dual preventive and reparative functions. It exerts its effects by reducing CD11b-positive cell infiltration (inflammation suppression) and promoting the orderly arrangement of the basal layer-epidermal layer-granular layer (epidermal reconstruction). This material holds promise as a novel and effective therapeutic approach for the prevention and treatment of solar dermatitis, particularly suitable for high-risk populations such as children, individuals with sensitive skin, and those engaged in outdoor activities.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

Objective To explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. Methods Patients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1 : 1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. Results A total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.001). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. Conclusion N1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.

Lung cancer is a leading cause of cancer-related morbidity and mortality worldwide. Coupled with the substantial workload, the clinical management of lung cancer is challenged by the critical need to efficiently and accurately process increasingly complex medical information. In recent years, large language models (LLMs) technology has undergone explosive development, demonstrating unique advantages in handling complex medical data by leveraging its powerful natural language processing capabilities, and its application value in the field of lung cancer diagnosis and treatment is continuously increasing. The paper systematically analyzes that the exceptional potential of LLMs in lung cancer auxiliary diagnosis, tumor feature extraction, automatic staging, progression/outcome analysis, treatment recommendations, medical documentation generation, and patient education. However, they face critical technical and ethical challenges including inconsistent performance in complex integrated decision-making (e.g., TNM staging, personalized treatment suggestions) and "black box" opacity issues, along with dilemmas such as training data biases, model hallucinations, data privacy concerns, and cross-lingual adaptation challenges ("data colonization"). Future directions should prioritize constructing high-quality multimodal corpora specific to lung cancer, developing interpretable and compliant specialized models, and achieving seamless integration with existing clinical workflows. Through dual drivers of technological innovation and ethical standardization, LLMs should be prudently advanced for holistic lung cancer management processes, ultimately promoting efficient, standardized, and personalized diagnosis and treatment practices.