ObjectiveTo investigate whether intestinal deficiency of lanosterol synthase （LSS）， a key enzyme in cholesterol synthesis， influences the progression of metabolic dysfunction-associated steatotic liver disease （MASLD） by regulating intestinal cholesterol absorption and immune response. MethodsLSS heterozygous knockout （LSS^+/-） mice and wild-type （WT） controls were generated using CRISPR/Cas9 technology and fed either a high-fat diet （HFD） or regular chow （CHOW）. The model was validated by genotyping. Hepatic steatosis was assessed by HE and oil red O staining. Immunohistochemistry was used to detect the localization and expression of NPC1L1 and CD36 proteins in the intestine. Western blot analysis was performed to measure JNK phosphorylation and TLR4 protein levels in intestinal tissues. Real-time quantitative polymerase chain reaction （qPCR） was employed to examine the mRNA expression of TLR4 and IL-6. ResultsLSS^+/- mice were successfully validated by genotyping and reduced intestinal LSS protein expression. HE and oil red O staining of liver sections showed that， compared with WT mice fed a CHOW diet， WT mice fed a HFD exhibited a marked increase in hepatic lipid vacuoles. In contrast， compared with HFD-fed WT mice， HFD-fed LSS^+/- mice displayed significantly attenuated hepatic lipid deposition and reduced serum ALT levels （P<0.05）. Immunohistochemical analysis revealed that， compared with WT mice， the expression of the cholesterol absorption protein NPC1L1 in the intestinal villi of LSS^+/- mice was downregulated under both CHOW and HFD conditions （P_HFD<0.001）. Conversely， the expression of the fatty acid transporter CD36 was upregulated in the intestines of LSS^+/- mice （P_CHOW<0.05， P_HFD<0.01）. Western blot analysis demonstrated that， compared with WT mice， TLR4 protein expression in the intestines of LSS^+/- mice significantly increased under both CHOW and HFD conditions （both P<0.05）. JNK phosphorylation level was significantly elevated in LSS^+/- mice under CHOW condition （both P<0.05）. Under HFD condition， total JNK protein expression increased， but its phosphorylation level showed no significant change. qPCR analysis showed that， compared with WT mice， the mRNA levels of TLR4 （P_CHOW<0.01， P_HFD<0.000 1） and IL-6 （P_CHOW<0.001， P_HFD<0.01） were significantly upregulated in the intestines of LSS^+/-mice. ConclusionLSS deficiency counteracts hepatic lipid deposition by orchestrating a synergistic reprogramming involving restricted intestinal cholesterol absorption， enhanced fatty acid utilization， and activation of immune pathways， suggesting intestinal LSS as a potential therapeutic target of MASLD.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

ObjectiveTo investigate the effect of hypoxia on pemetrexed （PE）-mediated apoptosis in non-small cell lung cancer cells. MethodsA549 cells were cultured under 21% O₂ （normoxia） or 1% O₂ （hypoxia）， and treated with 8 μmol/L PE for 48 h. The cells were divided into normoxic control group， normoxic vehicle group， normoxic drug-treated group， hypoxic control group， hypoxic vehicle group and hypoxic drug-treated group. Trypan blue staining was used to observe cell death after PE intervention under normoxia and hypoxia. Flow cytometry was adopted to detect cell apoptosis rate. Wound healing assay was used to assess cell migration. Western blot was performed to detect the protein levels of MRP-1， Cleaved Caspase-3， E-Cadherin and N-Cadherin. ResultsTrypan blue staining results showed that the cell death rate was reduced in PE-treated cells under hypoxia compared with the normoxic PE group （P<0.001）. Flow cytometry results indicated that PE induced cell apoptosis under both normoxic and hypoxic conditions.However， the apoptosis rate of the normoxic PE group was significantly higher than that of the hypoxic PE group （P<0.000 1）. Wound healing assay showed that the migration distance of A549 cells decreased after PE treatment for 24 h and 48 h under normoxia and hypoxia when compared with the control group （P<0.05）， while no significant difference was found between the normoxic PE group and the hypoxic PE group. Western blot results revealed that MRP-1 expression was markedly higher in hypoxic PE-treated cells than in normoxic PE-treated cells （P<0.000 1）. Compared with the control group， Cleaved Caspase-3 expression was upregulated in A549 cells following PE intervention under normoxia （P<0.05）， whereas no obvious alteration in Cleaved Caspase-3 expression was detected in hypoxic PE-treated cells. Under both normoxic and hypoxic conditions， PE treatment downregulated the expression of E-Cadherin （P<0.000 1，P<0.001） and N-Cadherin （P<0.05，P<0.000 1）. In addition， the expression levels of E-Cadherin and N-Cadherin in the hypoxic PE group were significantly lower than those in the normoxic PE group （all P<0.000 1）. ConclusionHypoxia significantly attenuates the pro-apoptotic effect of PE on A549 cells and blocks Cleaved Caspase-3 activation. This mechanism may be related to hypoxia-induced MRP-1 overexpression and reduced drug accumulation. Interfering with MRP-1 or restoring the activity of the apoptosis pathway may serve as a novel strategy to overcome hypoxia-induced drug resistance.

Objective To establish and internally validate a predictive model for poorly differentiated adenocarcinoma based on CT imaging and tumor marker results. Methods Patients with solid and partially solid lung nodules who underwent lung nodule surgery at the Department of Thoracic Surgery, the Affiliated Brain Hospital of Nanjing Medical University in 2023 were selected and randomly divided into a training set and a validation set at a ratio of 7:3. Patients' CT features, including average density value, maximum diameter, pleural indentation sign, and bronchial inflation sign, as well as patient tumor marker results, were collected. Based on postoperative pathological results, patients were divided into a poorly differentiated adenocarcinoma group and a non-poorly differentiated adenocarcinoma group. Univariate analysis and logistic regression analysis were performed on the training set to establish the predictive model. The receiver operating characteristic (ROC) curve was used to evaluate the model's discriminability, the calibration curve to assess the model's consistency, and the decision curve to evaluate the clinical value of the model, which was then validated in the validation set. Results A total of 299 patients were included, with 103 males and 196 females, with a median age of 57.00 (51.00, 67.25) years. There were 211 patients in the training set and 88 patients in the validation set. Multivariate analysis showed that carcinoembryonic antigen (CEA) value [OR=1.476, 95%CI (1.184, 1.983), P=0.002], cytokeratin 19 fragment antigen (CYFRA21-1) value [OR=1.388, 95%CI (1.084, 1.993), P=0.035], maximum tumor diameter [OR=6.233, 95%CI (1.069, 15.415), P=0.017], and average density [OR=1.083, 95%CI (1.020, 1.194), P=0.040] were independent risk factors for solid and partially solid lung nodules as poorly differentiated adenocarcinoma. Based on this, a predictive model was constructed with an area under the ROC curve of 0.896 [95%CI (0.810, 0.982)], a maximum Youden index corresponding cut-off value of 0.103, sensitivity of 0.750, and specificity of 0.936. Using the Bootstrap method for 1000 samplings, the calibration curve predicted probability was consistent with actual risk. Decision curve analysis indicated positive benefits across all prediction probabilities, demonstrating good clinical value. Conclusion For patients with solid and partially solid lung nodules, preoperative use of CT to measure tumor average density value and maximum diameter, combined with tumor markers CEA and CYFRA21-1 values, can effectively predict whether it is poorly differentiated adenocarcinoma, allowing for early intervention.

[Objective] To compare the clinical efficacy of super pulse thulium laser enucleation of the prostate (SPThuLEP) with "open tunnel" and transurethral holmium laser enucleation of the prostate (HoLEP) in the treatment of benign prostatic hyperplasia (BPH), in order to provide reference for the treatment options of BPH. [Methods] The clinical data of 112 BPH patients treated in our hospital during Jan.2023 and Jul.2023 were retrospectively analyzed, including 65 treated with SPThuLEP with "open tunnel" and 57 with HoLEP.The operation time, postoperative hemoglobin decrease, postoperative bladder irrigation, catheter indwelling time, hospitalization time and complications were compared between the two groups.The changes of maximum urine flow rate (Qmax), international prostate symptom score (IPSS), quality of life score (QoL), postvoid residual (PVR) and prostate-specific antigen (PSA) were compared between the two groups before operation and one month after operation. [Results] All operations were successful without conversion to open or transurethral plasmakinetic resection.The postoperative decrease of hemoglobin in SPThuLEP group was lower than that in HoLEP group [(13.12±6.72) g/L vs. (21.02±6.51) g/L], with statistical difference (P<0.05). There were no significant differences in the operation time [(63.35±15.73) min vs.(61.02±17.55) min], postoperative bladder irrigation time [(1.07±0.45) d vs. (1.06±0.36) d], catheter indwelling time [(2.98±0.56) d vs. (3.01±0.63) d] and hospitalization time [(3.63±0.61) d vs.(3.79±0.76) d] between the two groups (P>0.05). No blood transfusion, secondary bleeding or unplanned hospitalization occurred, and there were no serious complications such as transurethral electroresection syndrome (TURS), urethral stricture and urinary incontinence.One month after operation, the Qmax, IPSS, QoL, PVR and PSA of the two groups were significantly improved compared with those before operation (P<0.05), but with no statistical difference between the two groups (P>0.05). [Conclusion] SPThuLEP with "open tunnel" has comparable efficacy as HoLEP in the treatment of BPH.With advantages of small amount of bleeding and high safety, this minimally invasive technique can be widely popularized in clinical practice.

Objective To observe the difference of bone micro-structure in different regions of proximal femur,micro-CT scanning was performed on 30 proximal femur specimens to explain the mechanism of proximal femur fracture and to provide anatomical basis for prosthesis design.Methods Totally 30 intact proximal femur specimens were obtained from 60-80 year-old cadavers.Micro-CT scanning was used to measure the trabecular thickness(Tb.Th),trabecular number(Tb.N),trabecular space(Tb.Sp),connectivity(Conn)and bone mineral density(BMD)and other parameters in 7 regions of proximal femur,including proximal pressure trabecular(PPT),distal pressure trabecular(DPT),femoral head-neck junction(FHNJ),head and neck of femoral neck(HNFN),the base of femoral neck(BPFN),intertrochanteric line(IL)and greater trochanter(GT).Results The bone mineral density of IL and GT were higher than those of BPFN,FHNJ,DPT and PPT.The trabecular thickness of GT was the largest,followed by IL,BPFN and HNFN,and the smallest was FHNJ,DPT and PPT.The trabecular space of IL was larger than that of GT,and the data of both were larger than those of other parts,among which DPT and PPT were the smallest.The trabecular number of IL and GT were the smallest,BPFN,HNFN and FHNJ were larger,and DPT was the largest.The volume fraction of IL was the smallest,BPFN and HNFN were larger,DPT and PPT were the largest.Conclusion The bone density,trabecular thickness,bone volume,and total volume of GT and IL in the proximal femur of elderly patients are all relatively large,so the reason for the high incidence of fractures is not due to weak internal bone microstructure;The bone density,trabecular thickness,and trabecular gap at the proximal and distal ends of the vertical trabecular bone are relatively small.If it is necessary to perform core decompression for prosthesis filling at this location,the design should be conducive to the mechanical conduction of the prosthesis and the regeneration of surrounding bone tissue.

Arsenic is a semi-metal,and lipid-soluble arsenic compounds are one of the widespread forms in the environment and food chain,but there is a lack of standards for lipid-soluble arsenic compounds,which is one of the bottlenecks in the current analytical detection and toxicological studies of organic arsenic.In this study,four saturated arsenic-containing hydrocarbons,AsHC 318,AsHC 332,AsHC 346,and AsHC 374(The number is relative molecular mass),were successfully synthesized in three steps by using dimethylarsinic acid,potassium iodide,sodium hydroxide,and four brominated alkanes(1-Bromotetradecane,1-bromopentadecane,1-bromohexadecane,and 1-bromooctadecane)as raw materials.The structures of these four saturated arsenic-containing hydrocarbons were characterized by proton nuclear magnetic resonance(1H NMR)spectroscopy,13C nuclear magnetic resonance(13C NMR)spectroscopy,and high-resolution mass spectrometry(HR-MS).The yields of the method were 8%-10%,and the synthesized compounds could be used in subsequent toxicity evaluation experiments to assess the toxic effects and mechanisms of action of arsenic-containing hydrocarbons.This study provided an effective method for synthesis of arsenic-containing hydrocarbons,enriching the synthesis methods of arsenic-containing hydrocarbons,and provided raw materials for the subsequent toxicological studies of arsenic-containing hydrocarbons.

Abastract:Objective To validate the performance of six different lipoprotein(a)[Lp(a)]immunoassay detection systems,compare the correlation and consistency of the measurement results of different detection systems,and explore their clinical application in the e-valuation of atherosclerotic cardiovascular disease(AsCVD).Methods A total of 150 AsCVD patients attending Peking Union Medi-cal College Hospital were retrospectively selected as the subjects of study group,and 50 individuals of physical examination during the same period were selected as healthy control group.Lp(a)levels were measured in 200 serum samples using six immunoassay detection systems,including two Lp(a)particle concentration assays in nmol/L(Roche and Mindray Ⅱ),and four Lp(a)mass concentration assays in mg/L(Mindray,MedicalSystem,BSBE,and Sekisui).All assays'precisions were evaluated.The results of each assay sys-tem were compared with the mean value of all the Lp(a)assays.Passing-Bablok regression analysis and Bland-Altman bias plots were used to assess the accuracy of assays,and the consistency between different systems was analyzed using the concordance correlation co-efficient(CCC).In addition,the consistencies of different assays in assessing AsCVD in clinical setting were compared using weighted Kappa statistical method,and the positive rates of Lp(a)particle concentration and mass concentration,as well as the overestimation and underestimation of mass concentration were also assessed for both the study group and the healthy control group.Results The pre-cision of the six Lp(a)assays ranged from 0.6％to 2.1％.Passing-Bablok regression analysis showed that the Spearman correlation co-efficients of the regression equations were all greater than 0.970,and the intercepts and slopes of the regression lines were-43.311 to 39.456 and 0.547 to 5.500,respectively.The Bland-Altman bias plots showed that the percent bias of the six assays compared to the mean value of Lp(a)determination was in the range of-25.939％to 40.205％.The results of the Lp(a)mass concentration detection system showed a positive deviation in Mindray and MedicalSystem,and a negative deviation in BSBE and Sekisui.Compared with the mean value of Lp(a),the results of consistency analysis showed that Roche and Mindray Ⅱ had excellent consistency(CCC:0.992 to 0.993).Mindray,MedicalSystem and BSBE had good consistency(CCC:0.950 to 0.986),and Sekisui showed moderate consistency(CCC:0.935).In descending order,the positivity rates of Lp(a)in the study groups were:MedicalSystem＞BSBE＞Mindray＞Roche=Mindray Ⅱ＞Sekisui.The overall concordances of Mindray,MedicalSystem,BSBE and Sekisui compared to Lp(a)particle concentration assay in different groups were 97.33％,93.33％,97.33％and 98.00％with Kappa values of 0.910,0.798,0.912 and 0.927,respec-tively.Conclusion The two assays for Lp(a)particle concentration have fine correlation and consistency,but there were significant differences between the four assays for Lp(a)mass concentration.Compared to the Lp(a)particle concentration assays,the four assay for Lp(a)mass concentration resulted in overestimation or underestimation of Lp(a)levels in the assessment of AsCVD.Accurate de-termination of Lp(a)concentration should be of great importance in accurately assessing the overall risk of AsCVD in patients.

Yinyang Gongji Pills have the effects of strengthening the body resistance to eliminate pathogenic factors, removing stasis, and reducing swelling, which is a commonly used traditional Chinese medicine(TCM) formula for treating intestinal accumulation. A real-world, registered, and single-arm clinical trial was conducted to observe the clinical efficacy and safety of Yinyang Gongji Pills combined with capecitabine in the treatment of advanced colorectal cancer and analyze the clinical characteristics of the patients. A total of 60 patients with advanced colorectal cancer who refused or could not tolerate standard treatment of western medicine were included in the study. They were treated with Yinyang Gongji Pills combined with capecitabine until disease progression or intolerable adverse events occurred. The main observation indicators were progression-free survival(PFS) and safety. The treatment effects of the patients under different baseline characteristics were analyzed. The clinical trial has found that the median PFS of all enrolled patients was 7.3 months, with 30.1% of patients having a PFS exceeding 12.0 months. Layered analysis showed that the median PFS of patients with the onset site being the colon and rectum were respectively 8.4 and 4.7 months. The median PFS of patients with high, medium, and low tumor burden were respectively 7.0, 4.7, and 10.8 months. The median PFS of patients with wild-type and mutant-type RAS/BRAF were respectively 7.9 and 6.9 months. The median PFS of patients with KPS scores ≥80 and ≤70 were respectively 7.9 and 6.5 months. The median PFS of patients treated with Yinyang Gongji Pills for ≥6, 3-6, and ≤3 months were respectively 8.0, 5.2, and 4.2 months. The median PFS of patients with spleen, kidney, liver, and lung syndrome differentiation in TCM were respectively 8.3, 6.7, 7.3, and 5.6 months. The median PFS of patients with TCM pathological factors including phlegm, dampness, and blood stasis were respectively 7.0, 7.3, and 6.5 months. Common adverse reactions include anemia, decreased white blood cells, decreased appetite, fatigue, and hand foot syndrome, with incidence rates being respectively 44.2%, 34.6%, 42.3%, 32.7%, and 17.3%. The results showed that the combination of Yinyang Gongji Pills and capecitabine demonstrated potential clinical efficacy and good safety in this study. The patients have clinical characteristics such as low tumor burden, onset site at the colon, KPS scores ≥ 80, long duration of oral TCM, and TCM syndrome differentiation including spleen or liver.
Humans ; Capecitabine/adverse effects* ; Colorectal Neoplasms/mortality* ; Drugs, Chinese Herbal/adverse effects* ; Male ; Middle Aged ; Female ; Aged ; Adult ; Treatment Outcome

Process analytical technology(PAT) is a key means for digital transformation and upgrading of the traditional Chinese medicine(TCM) manufacturing process, serving as an important guarantee for consistent and controllable TCM product quality. Near-infrared(NIR) spectroscopy has become the core technology for measuring the TCM manufacturing process. By incorporating NIR spectroscopy into PAT and starting from the construction of a smart platform for the TCM manufacturing process, this paper systematically described the development history and innovative application of the combination of NIR spectroscopy with chemometrics in measuring the TCM manufacturing process by the research team over the past two decades. Additionally, it explored the application of a validation method based on accuracy profile(AP) in the practice of NIR spectroscopy. Furthermore, the software development progress driven by NIR spectroscopy supported by modeling technology was analyzed, and the prospect of integrating NIR spectroscopy in smart factory control platforms was exemplified with the construction practices of related platforms. By integrating with the smart platform, NIR spectroscopy could improve production efficiency and guarantee product quality. Finally, the prospect of the smart platform application in measuring the TCM manufacturing process was projected. It is believed that the software development for NIR spectroscopy and the smart manufacturing platform will provide strong technical support for TCM digitalization and industrialization.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/analysis* ; Software ; Medicine, Chinese Traditional ; Quality Control