Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.

Hemoglobin (Hb) concentration is a key clinical biomarker for diagnosing and managing anemia, ischemic stroke, perioperative blood loss, and chronic diseases such as renal failure. Traditional venous blood sampling remains the gold standard due to its high accuracy, but its invasive nature limits frequent testing, real time monitoring, and large scale screening. This has driven growing interest in non-invasive Hb detection technologies over the past decade. Among these, optical methods are the most promising because of their safety, potential for continuous monitoring, and compatibility with portable or wearable devices. This paper systematically reviews major advances in optical non invasive Hb detection from the last ten years. We focus on near-infrared spectroscopy branches—photoplethysmography (PPG) and dynamic spectrum (DS)—and also cover color analysis/RGB imaging, Raman spectroscopy, and photoacoustic spectroscopy. For each technology, we explain its detection principles, analyze advantages and limitations, and summarize optimization strategies reported in recent literature. PPG, based on pulsatile blood volume changes, underpins many commercial continuous monitors. However, its accuracy is constrained by motion artifacts, individual physiological variations (e.g., skin tone, tissue thickness), and low AC signal to noise ratio. In contrast, DS—an advanced derivative of PPG—uses a differential principle to extract absorbance changes between systolic and diastolic peaks. This theoretically eliminates interference from static tissues (skin, bone, venous blood) and common mode noise (e.g., ambient light), positioning DS as a more robust framework for high precision Hb quantification. Beyond spectral methods, color analysis/RGB imaging offers a hardware minimalist approach. By analyzing images of vascular rich, thin tissues (e.g., conjunctiva, nail beds, palms), it enables Hb estimation using smartphone cameras. Recent advances have shifted from manual RGB feature extraction to deep learning models and spectral super resolution that reconstruct hyperspectral data from RGB inputs, significantly improving screening accuracy. Our academic perspective emphasizes critical and integrative analysis. We highlight persistent challenges that hinder clinical translation: profound individual biological variability (skin optics, microvascular architecture), sensitivity to measurement conditions (pressure, ambient light), and a lack of standardized validation protocols and multi center trials. A central thesis is that no single optical method is universally superior; each involves trade offs between accuracy, complexity, cost, and practicality. Looking forward, we posit that the next performance leap will come from multimodal information fusion—combining PPG, electrocardiogram (ECG), bioimpedance, or different optical modalities to compensate for individual differences and environmental noise. AI and deep learning are essential not only for image analysis but also for automated, end to end feature extraction from complex waveforms like PPG sequences. Advancing hardware (tunable lasers, quantum dot LEDs, novel sensor designs) is crucial to improve signal fidelity and portability. Finally, we advocate for clinical scenario specific optimization and rigorous standardized evaluation frameworks to gain regulatory approval (e.g., FDA, NMPA) and achieve widespread clinical acceptance. In conclusion, this review synthesizes a decade of progress. Optical non-invasive Hb detection has evolved from proof of concept studies to emerging products and validated screening tools, but the journey toward reliable, clinic ready quantitative devices continues. The convergence of smarter algorithms, fused sensing modalities, and focused clinical validation offers the most promising path to transform this potential into routine medical practice, ultimately enabling personalized, continuous, and accessible hematological management.

ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis （RA） patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction （补肾治尪汤， BZD） based on metabolomics. MethodsA prospective cohort study was conducted， enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs （csDMARDs） for 12 months. Clinical data were collected， and the change in disease activity score in 28 joints （DAS28） after treatment compared with baseline （△DAS28） was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator （LASSO） regression were used to preliminarily screen differential metabolites， followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination， a novel metabolite index， namely the metabolomics-based inflammatory remission score （Met-IRS）， was calculated using standar-dized metabolite values， and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS， and the model performance was assessed. ResultsAmong the 60 patients， those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group， while those with △DAS28 ＜ 0.27 were assigned to the low inflammatory remission group， with 30 cases in each group. Compared to the low inflammatory remission group， the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor （RF） （P＜0.05）. Seven core metabolites were identified as the optimal combination， including mangiferic acid， fatty acid-hydroxy fatty acid ester 40∶6， fatty acid-hydroxy fatty acid ester 18∶0， fatty acid-hydroxy fatty acid ester 36∶1， glucosylceramide， lysophosphatidylcholine 22∶5， and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group， and was positively correlated with high inflammatory remission outcomes （P＜0.05）. Based on the variables Met-IRS， methotrexate use， leflunomide use， and RF positivity， a clinical prediction model for inflammatory remission in RA treatment （Cj-RTRM） was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability， with an area under the receiver operating characteristic curve （AUC） of 0.880， sensitivity 0.967， specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring， targeted management， and identification of populations with advantages in traditional Chinese medicine.

ObjectiveTo reveal the molecular mechanism by which the traditional Chinese medicine compound prescription Qiangjing tablets regulate the aging of the testicular tissue and Leydig cells in rats through the cyclin-dependent kinase 4 （CDK4）-early 2 factor （E2F） signaling pathway. MethodsFor the cell experiment， 2-month-old SPF-grade SD male rats were selected and randomly assigned into a blank control group （administrated with an equal volume of 0.9% sodium chloride injection） and a Qiangjing tablets group （20 rats in each group） according to body weight. The Leydig cell model of aging was established by treatment of TM3 cells with 100 μmol·L^-1 H₂O₂， and the modeling performance was evaluated based on the levels of p16 and p21 determined by Western blot. The antioxidant NAC （1 mmol·L^-1） was used as the positive control for eliminating reactive oxygen species （ROS）. Cells were intervened with Qiangjing tablets-containing serum at low （2.5%）， medium （5%）， and high （10%） concentrations. The testosterone level in the cell supernatant was determined by enzyme-linked immunosorbent assay （ELISA）， and the protein levels of CDK4， E2F1， and E2F2 were analyzed by Western blot. In the animal experiment， 19-month-old naturally aging rats were used as the model group， and 2-month-old rats as the young control group. The positive control group was subcutaneously injected with 5.21 mg·kg^-1·d^-1 testosterone propionate. Qiangjing tablets were administered by gavage at low， medium， and high doses of 0.72， 1.44， 2.88 g·kg^-1·d^-1， respectively. The general conditions of rats were observed， and the protein levels of CDK4， E2F1， and E2F2 in the testicular tissue were determined by Western blot. ResultsIn the cell experiment， compared with the blank control group， the model group showed upregulated expression of CDK4 and E2F1 （P<0.05） and slightly downregulated expression of E2F2. Compared with that in the model group， the expression of CDK4 was upregulated in the NAC group and the low-dose Qiangjing tablets group （P<0.05）， slightly upregulated in the medium-dose Qiangjing tablets group， and downregulated in the high-dose Qiangjing tablets group （P<0.05）. The NAC group showed downregulated expression of E2F1 （P<0.05） and E2F2， and the low-， medium-， and high-dose Qiangjing tablets groups showed downregulated expression of both E2F1 and E2F2 （P<0.05）. Compared with that in the NAC group， the expression of CDK4 was upregulated in the low-dose Qiangjing tablets group and downregulated in the medium-dose and high dose （P<0.05） groups. The expression of E2F1 was down-regulated in all the three dose groups， with statistically significance in the high dose group （P<0.05）， and that of E2F2 were downregulated in all the three dose groups （P<0.05）. In the animal experiment， compared with the young control group， the model group exhibited downregulated expression of CDK4 （P<0.05） and slightly upregulated expression of E2F1 and E2F2. Compared with that in the model group， the expression of CDK4 decreased in the testosterone propionate group and the low-dose Qiangjing tablets group （P<0.05） but increased in the medium-dose （P<0.05） and high-dose groups. In addition， the expression of E2F1 decreased （P<0.05）， and that of E2F2 was slightly elevated. Compared with that in the NAC group， CDK4 expression was elevated in the Qiangjing tablets groups， with statistical significance in the medium- and high-dose groups （P<0.05）. Similarly， the E2F1 expression was also upregulated in the Qiangjing tablets groups， with statistical significance in the medium-dose group （P<0.05）. The expression of E2F2 was downregulated in all the Qiangjing tablets groups. ConclusionQiangjing tablets delay the aging process of Leydig cells and testicular tissue by up-regulating the expression of CDK4 and lowering the levels of E2F1 and E2F2.

ObjectiveBased on the multidimensional correlation analysis framework of "disease， syndrome， formula， and medicine"， this study aims to systematically elucidate the regulatory effects of effective components in Qiangjing tablet on testosterone synthesis pathways in testicular Leydig cells under oxidative stress， providing a theoretical basis for the treatment of male infertility with traditional Chinese medicine and modern research on compounds. MethodsDisease targets for male infertility were obtained from The Human Gene Database （GeneCards， score ≥20）， the Comparative Toxicogenomics Database （CTD， score ≥150）， DrugBank （score ≥0.2）， and DisGeNET （score ≥0.2）. Targets related to the syndrome of kidney deficiency and blood stasis were acquired from the traditional Chinese medicine syndrome association database SymMap. Components of Qiangjing tablet were retrieved based on The Encyclopedia of Traditional Chinese Medicine （ETCM） database and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP）， and they were screened according to a quantitative estimate of drug-likeness （QED ≥ 0.49） and a target confidence index>0.8. Intersecting targets were taken to construct a protein-protein interaction （PPI） network using the STRING database. The network was visualized with Cytoscape software and subjected to the functional annotation of gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） pathway enrichment analysis. Quality markers （Q-markers） were predicted via the ADMETlab 2.0 platform based on Lipinski's rule， Pfizer's rule， GSK's rule， and the Golden Triangle. For experimental validation， rats' testicular Leydig cells were used. Exosomes were extracted and loaded with active components via the ultrasonic method. Exosome concentration was determined using a BCA protein quantification kit. Morphology was observed using a transmission electron microscope. The particle size was analyzed with a particle size analyzer. The surface marker proteins such as cluster of differentiation 9 （CD9）， cluster of differentiation 63 （CD63）， and cluster of differentiation 81 （CD81） were identified by Western blot， and drug loading capacity was measured by high-performance liquid chromatography （HPLC）. An oxidative stress model was induced by alpha， alpha'-azodiisobutyramidine dihydrochloride （AAPH）， and Leydig cells were divided into the following groups： A control group， an AAPH group， a quercetin group （Que group）， an exosome group （Exo group）， and a QUE-loaded Exo group （Que-Exo group）. The cell viability was detected using the 3-（4，5-dimethylthiazol-2-yl）-2，5-diphenyltetrazolium bromide （MTT） thiazolyl blue assay. The reactive oxygen species （ROS） levels and mitochondrial membrane potential were measured by flow cytometry. The levels of oxidative indicators， including malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione peroxidase （GSH-Px）， catalase （CAT）， and testosterone （T）， were detected by enzyme-linked immunosorbent assay （ELISA）. The expressions of steroidogenic enzymes such as cytochrome p450 family 11 subfamily a member 1 （CYP11A1）， hydroxy-delta-5-steroid dehydrogenase， 3 beta- and steroid delta-isomerase 1 （HSD3B1）， and hydroxysteroid 17-beta dehydrogenase 3 （HSD17B3）， regulatory factors such as steroidogenic factor 1 （SF-1） and steroidogenic acute regulatory protein （StAR）， and miR-145-5p content， were detected by Western blot and real-time polymerse chain reaction （Real-time PCR）. ResultsNetwork pharmacology analysis reveals that the main active components of Qiangjing tablet for intervening in male infertility with kidney deficiency and blood stasis syndrome were Que， luteolin， etc.， with the core mechanism involving pathways such as steroid hormone biosynthesis. Experimental results show that compared with the control group， the AAPH group exhibits significantly reduced cell viability （P<0.01）， decreased mitochondrial membrane potential （P<0.01）， significantly elevated levels of ROS， MDA， and miR-145-5p （P<0.01）， significantly reduced activities of SOD， GSH-Px， and CAT， as well as reduced testosterone content （P<0.01）， and significantly downregulated protein and mRNA expressions of steroidogenic enzymes， SF-1， and StAR （P<0.01）. The above indicators were reversed in the Que and Que-Exo groups （P<0.05）. Compared with the Que group， the Que-Exo group showed more significant effects in enhancing cell viability， mitochondrial membrane potential， testosterone level， antioxidant enzyme activities， and expressions of key molecules in the steroidogenic pathway （P<0.05）. ConclusionThis study demonstrates that Que， an active component of Qiangjing tablet， inhibits oxidative stress reaction， improves mitochondrial function in Leydig cells， upregulates steroidogenic enzyme expression， and restores testosterone production. As a carrier for Que， Exo enhance its stability， delivery efficiency， and biological effect. Additionally， miR-145-5p may be closely associated with testosterone synthesis， though its precise molecular mechanism requires further exploration. By integrating traditional Chinese medicine compounds with modern scientific technology， this research expands the paths for the modernized research of traditional Chinese medicine and opens a novel therapeutic direction with translational potential for clinical intervention of male infertility.

Objective To systematically evaluate the efficacy and safety of traditional Chinese medicine (TCM) compound in treating pulmonary nodules, providing evidence-based medical evidence for TCM intervention in pulmonary nodules. Methods Computer search of PubMed, CNKI, Wanfang, VIP, and SinoMed was conducted to select randomized controlled trials (RCTs) of TCM compound intervention in pulmonary nodules, with the retrieval time from the inception to November 29, 2023. The Cochrane bias risk assessment tool was used to evaluate the quality of the included studies, and Review Manager 5.4 was used for Meta-analysis. Results A total of 18 RCTs were included, covering 8 provinces across the country, with a total sample size of 1301 patients. The TCM compounds used in the included studies all incorporated the method of dissolving phlegm and dissipating nodules. There was a high risk of bias uncertainty in the included studies. Meta-analysis results suggested that TCM compound could significantly reduce the diameter of pulmonary nodules [MD=−1.41, 95%CI (−1.70, −1.13), P<0.001], decrease the number of nodules [MD=−0.37, 95%CI (−0.73, −0.01), P=0.05], alleviate clinical symptoms [MD=−4.84, 95%CI (−6.04, −3.64), P<0.001], and improve lung function [forced expiratory volume in one second (FEV1), MD=0.55, 95%CI (0.09, 1.01), P=0.02; FEV1/forced vital capacity, MD=6.12, 95%CI (4.47, 7.78), P<0.001]. However, there was no statistically significant difference in the probability of malignancy between the experimental group and the control group [MD=−0.01, 95%CI (−0.01, 0.00), P=0.09]. Conclusion TCM compound can significantly reduce the diameter of pulmonary nodules, decrease the number of nodules, alleviate clinical symptoms, and improve lung function, but future multicenter, large-sample, high-quality RCTs are still needed to further explore and verify this conclusion.

ObjectiveTo investigate the intervention effects and mechanisms of the flavonoid hyperoside （Hyp） on lipopolysaccharide （LPS）-induced inflammation in the zebrafish model. MethodsZebrafish larvae were either microinjected with 0.5 g·L^-1 LPS or immersed in 1 g·L^-1 LPS for the modeling of inflammation. The larvae were then treated with Hyp at 25， 50， and 100 mg·L^-1 through immersion for four consecutive days. The inflammatory phenotypes were assessed by analyzing the mortality rate， malformation rate， body length， and yolk sac area ratio. Behavioral tests were conducted to evaluate the inflammatory stress responses， and macrophage migration was observed by fluorescence microscopy. Additionally， the mRNA levels of inflammation-related genes， including interleukin-1β （IL-1β）， interleukin-6 （IL-6）， chemokine C-C motif ligand 2 （CCL2）， chemokine C-X3-C motif receptor 1 （CX3CR1）， chemokine C-C motif receptor 2 （CCR2）， and genes associated with the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-kappa B （NF-κB） signaling pathway， were measured by Real-time quantitative polymerase chain reaction（Real-time PCR）. ResultsCompared with the pure water injection group， the model group exhibited increased mortality， malformation rates and yolk sac area ratio （P0.01）， reduced body length （P0.01）， increased total swimming distance and high-speed swimming duration （P0.01）， and up-regulated mRNA levels of TLR4， MyD88， NF-κB， IL-1β， IL-6， CCL2， CX3CR1， and CCR2 （P0.01）. Hyp at low， medium and high doses， as well as aspirin， reduced the mortality and malformation rates （P0.05，P0.01）， increased the body length （P0.05，P0.01）， decreased the yolk sac area ratio （P0.01）， reduced the high-speed swimming duration （P0.01）， and down-regulated the mRNA levels of TLR4， MyD88， NF-κB， IL-1β， IL-6， CCL2， CX3CR1， and CCR2 （P0.05，P0.01） compared with the model group. ConclusionHyp may modulate the TLR4/MyD88/NF-κB pathway to ameliorate inflammatory phenotypes and alleviate stress conditions in zebrafish， thereby exerting the anti-inflammatory effect.

ObjectiveTo analyze the correlation between the clinical symptoms， signs， syndrome characteristics and laboratory indicators of cough variant asthma （CVA） and deepen the understanding of the treatment of this disease based on the theory of "Fu Feng". MethodsAn observational study was conducted. A total of 207 CVA patients who visited the respiratory department of the Third Affiliated Hospital of Beijing University of Chinese Medicine from September 2022 to November 2023 were included. The information from the four diagnostic methods and the laboratory test results of patients were collected. Factor analysis was conducted on the information obtained through the four diagnostic methods in TCM， and the nature and location of CVA were extracted. Sample cluster analysis （Q clustering） and the K-means method were used for data clustering analysis to determine the syndrome types of CVA and analyze the syndrome characteristics and differences in laboratory indicators among different syndrome types. ResultsThe main symptom of CVA patients was cough， accompanied by symptoms such as itchy throat， foreign body sensation in the throat， dry throat， shortness of breath， dry mouth， chest tightness， hoarseness， bitter mouth， poor appetite， and skin itching. Factor analysis showed that the disease was located in the lung， involving the liver， spleen， and kidney. The pathological factors involved Yin deficiency， Yang deficiency， wind factor， dampness factor， Yin factor， and Qi stagnation. Cluster analysis revealed four syndrome types： Fengfu Yinshang syndrome， Shixie Neiyun syndrome， Tanyin Zufei syndrome， and Ganhuo Fanfei syndrome. Fengfu Yinshang syndrome accounted for the highest proportion， followed by Tanyin Zufei syndrome. There were no significant differences in eosinophil count and percentage， fractional nasal nitric oxide （FnNO） level， and pulmonary function indexes among the four syndromes. The levels of serum total IgE and fractional exhaled nitric oxide （FeNO） in patients with Fengfu Yinshang syndrome were significantly higher than those in patients with Shixie Neiyun syndrome and Tanyin Zufeisyndrome. ConclusionCough is the main symptom of CVA， accompanied by pharyngeal itching， foreign body sensation in the throat， dry throat， shortness of breath， dry mouth， and allergic manifestations. The disease involves the lung， liver， spleen， and kidneys. The essence of the pathogenesis lies in a latent dormant pathogen and a disorder of the pivot mechanism. The four common syndrome types are Fengfu Yinshang syndrome， Shixie Neiyun syndrome， Tanyin Zufei syndrome， and Ganhuo Fanfei syndrome. The TCM syndrome types are correlated with laboratory indexes. The serum total IgE and FeNO of patients with Fengfu Yinshang syndrome are worse.

BACKGROUND: Lung cancer is currently the most prevalent malignancy and the leading cause of cancer deaths worldwide. Although the early stage non-small cell lung cancer (NSCLC) presents a relatively good prognosis, a considerable number of lung cancer cases are still detected and diagnosed at locally advanced or late stages. Surgical treatment combined with perioperative multimodality treatment is the mainstay of treatment for locally advanced NSCLC and has been shown to improve patient survival. Following the standard methods of neoadjuvant therapy, perioperative management, postoperative adjuvant therapy, and other therapeutic strategies are important for improving patients' prognosis and quality of life. However, controversies remain over the perioperative management of NSCLC and presently consensus and standardized guidelines are lacking for addressing critical clinical issues in multimodality treatment. METHODS: The working group consisted of 125 multidisciplinary experts from thoracic surgery, medical oncology, radiotherapy, epidemiology, and psychology. This guideline was developed using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The clinical questions were collected and selected based on preliminary open-ended questionnaires and subsequent discussions during the Guideline Working Group meetings. PubMed, Web of Science, Cochrane Library, Scopus, and China National Knowledge Infrastructure (CNKI) were searched for available evidence. The GRADE system was used to evaluate the quality of evidence and grade the strengths of recommendations. Finally, the recommendations were developed through a structured consensus-building process. RESULTS: The Guideline Development Group initially collected a total of 62 important clinical questions. After a series of consensus-building conferences, 24 clinical questions were identified and corresponding recommendations were ultimately developed, focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assement, and follow-up protocols for NSCLC. CONCLUSIONS This guideline puts forward reasonable recommendations focusing on neoadjuvant therapy, perioperative management, adjuvant therapy, postoperative psychological rehabilitation, prognosis assessment, and follow-up protocol of NSCLC. It standardizes perioperative multimodality treatment and provides guidance for clinical practice among thoracic surgeons, medical oncologists, and radiotherapists, aiming to reduce postoperative recurrence, improve patient survival, accelerate recovery, and minimize postoperative complications such as atelectasis.
Humans ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Combined Modality Therapy ; Perioperative Care