ObjectiveTo explore the changes in color， odor and chemical components during wine-processing of Chuanxiong Rhizoma（CR）， identify differential markers， and provide a basis for standardizing the process and establishing quality standards. MethodsFifteen batches of CR samples from 4 producing areas were collected. Colorimeter and electronic nose were used to detect the color changes and odor components of CR before and after wine-processing. Multivariate statistical methods including partial least squares-discriminant analysis（PLS-DA）， principal component analysis（PCA）， discriminant factor analysis（DFA） and Fisher discriminant analysis were applied to identify wine-processed CR at different processing stages and establish discriminant models， and differential components were screened out based on variable importance in the projection（VIP） value1. Then， high performance liquid chromatography（HPLC） was employed to detect the content changes of four components（ferulic acid， senkyunolide I， senkyunolide A and ligustilide） during the processing stages. ResultsThe differences of wine-processed CR at various stages were primarily reflected in color parameters L^*（brightness value）， a^*（red-green value） and b^*（yellow-blue value）. Based on chromaticity differences， the color reference ranges were established for moderately processed CR， including L^* of 46.75-48.24， a^* of 5.37-6.07 and b^* of 20.32-21.70. In odor analysis， DFA revealed significant differences among processing stages， and 11 odor markers were identified， with four differential markers（4-hydroxy-3-butylphthalide， isopropyl butyrate， L-limonene and 1-methoxyhexane） based on VIP values. HPLC results showed that there was no significant difference of the four components except for ligustilide in wine-processed CR at different stages. ConclusionThis study achieved rapid identification of wine-processed CR with different processing degrees by electronic sensory technology and differential component content detection， with discrimination accuracy rates of 92.4% and 93.272% for color and odor， respectively. This paper also established the reference ranges of main colorimetric parameters for wine-processed CR at different stages， and four differential components were screened out， providing a basis for standardizing the processing of wine-processed CR and establishing quality standards for this decoction pieces.

ObjectiveTo explore the changes in color， odor and chemical components during wine-processing of Chuanxiong Rhizoma（CR）， identify differential markers， and provide a basis for standardizing the process and establishing quality standards. MethodsFifteen batches of CR samples from 4 producing areas were collected. Colorimeter and electronic nose were used to detect the color changes and odor components of CR before and after wine-processing. Multivariate statistical methods including partial least squares-discriminant analysis（PLS-DA）， principal component analysis（PCA）， discriminant factor analysis（DFA） and Fisher discriminant analysis were applied to identify wine-processed CR at different processing stages and establish discriminant models， and differential components were screened out based on variable importance in the projection（VIP） value1. Then， high performance liquid chromatography（HPLC） was employed to detect the content changes of four components（ferulic acid， senkyunolide I， senkyunolide A and ligustilide） during the processing stages. ResultsThe differences of wine-processed CR at various stages were primarily reflected in color parameters L^*（brightness value）， a^*（red-green value） and b^*（yellow-blue value）. Based on chromaticity differences， the color reference ranges were established for moderately processed CR， including L^* of 46.75-48.24， a^* of 5.37-6.07 and b^* of 20.32-21.70. In odor analysis， DFA revealed significant differences among processing stages， and 11 odor markers were identified， with four differential markers（4-hydroxy-3-butylphthalide， isopropyl butyrate， L-limonene and 1-methoxyhexane） based on VIP values. HPLC results showed that there was no significant difference of the four components except for ligustilide in wine-processed CR at different stages. ConclusionThis study achieved rapid identification of wine-processed CR with different processing degrees by electronic sensory technology and differential component content detection， with discrimination accuracy rates of 92.4% and 93.272% for color and odor， respectively. This paper also established the reference ranges of main colorimetric parameters for wine-processed CR at different stages， and four differential components were screened out， providing a basis for standardizing the processing of wine-processed CR and establishing quality standards for this decoction pieces.

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 understand the level of medical narrative competence among hospice care practitioners in Shanxi Province， explore its influencing factors， and provide references for carrying out targeted training and improving the medical narrative competence of the medical and nursing staff. MethodsUsing convenience sampling， a total of 102 medical and nursing staff from hospitals providing hospice care in Shanxi Province were recruited as the research subjects. Questionnaire surveys were conducted with the Self-Designed General Information Questionnaire and the Self-Rating Scale for Medical Narrative Competence as the research tools. Univariate analysis and multiple linear regression analysis were adopted to explore the level of medical narrative competence and its influencing factors among hospice care practitioners in Shanxi Province. ResultsThe total score of medical narrative competence among hospice care practitioners in Shanxi Province was （158.19±19.69）. The mean scores of all dimensions were ranked from the lowest to the highest as attention and listening， understanding and response， and reflection and representation. Univariate analysis demonstrated that working years in hospice care， daily communication frequency with patients， weekly communication duration， degree of colleague care， professional recognition， job satisfaction， and familiarity with narrative medicine constituted the influencing factors for the level of medical narrative competence among hospice care practitioners （all P<0.05）. Multiple linear regression analysis showed that working years in hospice care， degree of colleague care， and familiarity with narrative medicine had statistically significant effects on the medical narrative competence of hospice care practitioners （all P<0.05）. ConclusionAdministrators of hospice care should prioritize medical and nursing staff who lack familiarity with narrative medicine， have low degrees of colleague care， experience short working years， and possess low professional recognition and job satisfaction with hospice care work. Targeted training should be strengthened for these individuals to improve their medical narrative competence level， thereby enhancing the quality of hospice care services.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

ObjectiveTo investigate the effect of Gelian Tiaotang pills on renal fibrosis in db/db mice based on the nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 （NLRP3）/cysteinyl aspartate-specific proteinase （Caspase）-1/gasdermin D （GSDMD） signaling pathway. MethodsForty db/db mice were randomly assigned into model， positive control （0.001 3 g·kg·d^-1 dapagliflozin suspension）， and high-， medium-， and low-dose Gelian Tiaotang pills （3.12， 1.56， and 0.78 g·kg·d^-1 suspension of Gelian Tiaotang pills， respectively） groups， with 8 mice in each group. Eight db/m mice were selected as the normal group. The normal group and model group were given equal volumes of pure water， while the drug interventions groups were administrated with corresponding agents by gavage once a day for 12 consecutive weeks. The general conditions of mice were observed daily. The fasting blood glucose （FBG） and body mass were measured every 4 weeks. Kidneys were weighed after sampling， and the kidney index was calculated. An automatic biochemical analyzer was used to measure the serum levels of triglyceride （TG）， total cholesterol （TC）， serum creatinine （SCr）， and blood urea nitrogen （BUN）. The pathological changes， extracellular matrix deposition， and renal fibrosis degree were examined by hematoxylin-eosin， periodic acid-schiff （PAS）， and Masson staining， respectively. Enzyme-linked immunosorbent assay was employed to measure the levels of interleukin （IL）-1β and IL-18 in the renal tissue. Immunohistochemistry （IHC） was used to detect the localization and expression of fibronectin and collagen Ⅰ in the renal tissue. Western blot was employed to determine the protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， and GSDMD-N in the renal tissue. ResultsCompared with the normal group， the model group generally had poor general states and increases in the body mass， kidney weight， kidney index， and levels of FBG， TG， TC， SCr， and BUN （P<0.01）. In addition， glomerular pyknosis， increased matrix， vacuolar degeneration of renal tubular epithelial cells， and interstitial infiltration of inflammatory cells were observed in the model group （P<0.01）， together with rises in the levels of IL-1β and IL-18 in the renal tissue （P<0.01） and up-regulated protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， GSDMD-N， fibronectin， and collagen Ⅰ in the renal tissue （P<0.01）. Compared with the model group， 12 weeks of drug interventions reduced the body mass， kidney weight， and kidney index and lowered the levels of FBG， TG， TC， SCr， and BUN in the serum and IL-1β and IL-18 in the renal tissue （P<0.05， P<0.01）. Furthermore， drug interventions ameliorated the renal lesions and down-regulated the protein levels of NLRP3， Caspase-1， cleaved Caspase-1， GSDMD， GSDMD-N， fibronectin， and collagen Ⅰ in the renal tissue （P<0.05， P<0.01）. The high-dose group of Gelian Tiaotang pills had the best effects. ConclusionGelian Tiaotang pills may inhibit pyroptosis and reduce inflammatory responses by regulating the NLRP3/Caspase-1/GSDMD signaling pathway， thus delaying the process of renal fibrosis in diabetes.

Objective:To investigate the hepatoprotective effect of N-acetylcysteine(NAC)on rats with liver injury induced by cisplatin and its effect on intestinal flora and the expression of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),and nuclear factor-kappa B(NF-κB).Methods:Male Sprague-Dawley rats were randomly divided into control group(CG),cisplatin group(CP),and NAC group.The rats in the NAC group were given NAC 15 mg/kg by gavage for 8 consecutive days.At half an hour after intragastric administration on the fifth day,all rats except those in the NC group were given intraperitoneal injection of 8 mg/kg cisplatin to induce acute liver injury.An automatic biochemical analyzer was used to measure the content of aspartate aminotransferase(AST),alanine aminotransferase(ALT),alkaline phosphatase(ALP),and total bilirubin(TBIL);liver index was calculated for the rats;Western blot was used to measure the relative expression levels of NF-κB,IL-6,and TNF-α in liver tissue;the 16S rDNA technique was used to measure and analyze the amplification information of the V3-V4 regions of each sample.Results:Compared with the NC group,the CP group had significant increases in the content of AST,ALT,ALP,and TBIL,while NAC reversed the abnormal liver function caused by cisplatin.Compared with the NC group,the CP group had a sig-nificant increase in liver index(P=0.000),while the NAC group had a significant reduction in liver index compared with the CP group(P=0.007).Compared with the NC group,the CP group had signifi-cant increases in the expression levels of IL-6,TNF-α,and NF-κB,while the NAC group showed reductions in the expression of these genes,with significant differences in the expression of IL-6 and TNF-α(P=0.006 and 0.000).Compared with the NC group,the CP group had a significant increase in the α-diversity index of intesti-nal flora,while compared with the CP group,the NAC group tended to have a reduction in the α-diversity index of intestinal flora.Com-pared with the CP group at the phylum level,the NAC group had an increase in the abundance of Actinobacteria and a reduction in the abundance of Firmicutes.Compared with the CP group at the genus level,the NAC group had a reduction in the abundance of Rumino-coccaceae and increases in the abundance of Bifidobacterium and Allobaculum.Conclusion:NAC can alleviate acute liver injury caused by cisplatin,possibly by downregulating the expression of IL-6,TNF-α,and NF-κB and regulating the abundance and diver-sity of intestinal flora.

Objective To reveal the molecular mechanism by which nuclear epidermal growth factor receptor(nEGFR)synergistically regulates the expression of cell migration-inducing protein(CEMIP)by forming a complex with the transcription factor Yin Yang 1(YY1),and to investigate the biological functions of the nEGFR-YY1-CEMIP signaling axis in invasion of hepatocellular carcinoma(HCC).Methods After HCC cells were serum-starved for 24 h,the cells were treated with 100 ng/mL EGF.Thus,the cells were divided into a control group and EGF-treated groups at different time points.Nuclear expression and localization changes of EGFR were detected by Western blotting and immunofluorescence(IF).To investigate the interaction between nEGFR and YY1,their nuclear colocalization and interaction were examined by IF and co-immunoprecipitation(Co-IP),respectively.Transcriptional profiling was performed using RNA sequencing(RNA-seq)to identify differentially expressed genes at the genome-wide level.Combined with Gene Ontology(GO)functional enrichment analysis and transcription factor binding profiles via using the JASPAR database,CEMIP was identified as a candidate target gene.To validate the regulatory mechanism,the following experimental groups were established,Control,EGF,siYY1,and siYY1+EGF.The expression of CEMIP at protein and mRNA levels was detected by Western blotting and RT-qPCR.To elucidate the molecular mechanism of nEGFR/YY1 binding to the CEMIP promoter,the control and EGF-treated groups were established.Chromatin immunoprecipitation followed by quantitative PCR(ChIP-qPCR)was performed to assess the enrichment of nEGFR/YY1 at the CEMIP promoter region.Luciferase reporter assay was conducted following transfection with either wild-type EGFR(EGFR-WT),nuclear localization-deficient mutant(EGFR-dNLS),YY1 overexpression plasmid(YY1-OE),or dominant-negative YY1 mutant(YY1-DN)to evaluate changes in promoter activity.Subsequently,cell migration and invasion capabilities were evaluated using scratch wound healing assay and Transwell assay,while hyaluronic acid(HA)level was quantified by ELISA.The expression of matrix metalloproteinases(MMP2/9)was analyzed via Western blotting to assess the regulatory role of the nEGFR/YY1-CEMIP axis in the migration and invasion of HCC cells.By analyzing the CEMIP expression profiles in HCC patients from National Center for Biotechnology Information(NCBI)public databases,its potential association with tumor metastasis risk was validated.Results Western blotting and IF demonstrated that EGF treatment significantly induced nuclear translocation of EGFR,peaking at 30 min(P<0.001).Co-IP and IF assays indicated both physical interaction and nuclear co-localization between nEGFR and YY1.RNA-seq analysis identified CEMIP as a significantly differentially expressed gene.GO enrichment analysis revealed that CEMIP was significantly enriched in biological processes related to cell invasion promotion.JASPAR prediction identified conserved YY1 potential binding region within the CEMIP promoter region.Western blot and RT-qPCR analyses confirmed that EGF treatment up-regulated CEMIP at both protein and mRNA levels(P<0.05).Notably,YY1 knockdown significantly suppressed CEMIP expression,while exogenous EGF supplementation restored CEMIP level in YY1-deficient cells(P<0.05).ChIP-qPCR analysis demonstrated specific enrichment of the nEGFR/YY1 complex at the CEMIP promoter region,with EGF stimulation significantly enhancing its binding affinity(P<0.001).Luciferase reporter assay confirmed that nEGFR/YY1 robustly enhanced CEMIP promoter activity(P<0.01),while either the EGFR-dNLS or the YY1-DN substantially attenuated this transcriptional activation.Functional phenotyping showed that the nEGFR/YY1-CEMIP axis significantly enhanced the migration and invasion of HCC cells by promoting HA catabolism and up-regulating MMP2/9 expression(P<0.05).Analysis of NCBI datasets revealed that CEMIP expression was significantly up-regulated in HCC tumor tissues than adjacent normal tissues(P<0.001).Moreover,HCC patients with elevated CEMIP expression exhibited higher risk of metastasis(P<0.001).Conclusion nEGFR promotes HCC invasion by forming a transcriptional complex with YY1 to cooperatively activate CEMIP expression.

Objective To reveal the mechanism by which the programmed death-ligand 1(PD-L1)-protein tyrosine phosphatase 1B(PTP1B)-focal adhesion kinase(FAK)signaling axis promotes the progression of hepatocellular carcinoma(HCC)and elucidate its effector functions in HCC.Methods GEPIA database was used to plot a 10-year survival curve for PD-L1 and FAK expression levels in HCC patients.Immunohistochemical(IHC)staining was utilized to analyze the relative expression levels of PD-L1 and FAK phosphorylated at the Y397 site[p-FAK(Y397)]in HCC tissues,and the results were compared to those in the adjacent non-tumor tissues.Subsequently,endogenous PD-L1 expression was detected with Western blotting in HCC cell lines with low(SNU-387)and high(Hep3B)PD-L1 expression levels.After lentivirus-transduced SNU-387PDL1+and Hep3BPDL1-cells were constructed,the effect of high and low expression of PD-L1 on the expression of p-FAK(Y397)with Western blotting.To elucidate the functional mechanism of FAK in HCC,functional rescue experiments were performed by administering a FAK inhibitor to SNU-387PDL1+cells and a FAK activator to Hep3BPDL1-cells,combined with wound healing scratch assay,Transwell invasion assay,EdU proliferation assay,and colony formation assay to evaluate tumor malignant effects.The GENEMANIA database predicted functional interactions between protein tyrosine phosphatase 1B(PTP1B),PD-L1,and FAK.IHC staining was performed to analyze the correlation among PD-L1,PTP1B,and p-FAK(Y397)expression.Co-immunoprecipitation(Co-IP)and indirect immunofluorescence(IF)were applied to validate the interaction between PD-L1 and PTP1B.Western blotting was utilized to confirm the regulatory relationship between PD-L1 and PTP1B.In vitro PTP1B phosphatase activity assay measured the changes in PTP1B activity.Subsequently,Western blotting was used to screen cell lines with high endogenous PTP1B expression(SNU-387)and low endogenous PTP1B expression(Hep3B).Furthermore,Hep3BPTP1B+and SNU-387PTP1B-cell lines were generated,and then p-FAK(Y397)levels were then detected in these modified cell lines,and the aforementioned functional effect assays(migration,invasion,proliferation and colony formation)and rescue experiments were repeated.Furthermore,Western blotting was employed to detect changes in downstream signaling pathways following enhancement or attenuation of p-FAK(Y397)in SNU-387 and Hep3B cells.Results IHC staining revealed a positive correlation between PD-L1 and p-FAK(Y397)expression in HCC tissues(95%CI:1.065～3.801,P<0.01).In SNU-387PDL1+cells,PD-L1 overexpression significantly enhanced phosphorylation at the FAK Y397 site(P<0.01)and increased cell migration,invasion,proliferation,and colony formation capabilities(P<0.01),and these effects could be reversed by FAK inhibitor treatment(P<0.05).Conversely,in Hep3BPDL1-cells,PD-L1 knockdown significantly reduced FAK Y397 phosphorylation(P<0.01)and decreased cell migration,invasion,proliferation,and colony formation abilities(P<0.01),and these effects were restored by FAK activator treatment(P<0.05).IHC staining further showed a negative correlation between PTP1B expression and both PD-L1 and p-FAK(Y397)in HCC tissues(95%CI:1.886～3.514,P<0.05).Co-IP and IF assays confirmed a direct interaction between PD-L1 and PTP1B,with PD-L1 suppressing PTP1B expression level and reducing its activity(P<0.01).In SNU-387PTP1B-cells,PTP1B knockdown significantly increased FAK Y397 phosphorylation(P<0.01)and enhanced cell migration,invasion,proliferation,and colony formation(P<0.01),and these effects were reversed by FAK inhibitor(P<0.05).While in Hep3BPTP1B+cells,PTP1B overexpression significantly decreased FAK Y397 phosphorylation(P<0.01)and reduced cell migration,invasion,proliferation,and colony formation(P<0.01),and those effects were restored by FAK activator treatment(P<0.05).Furthermore,enhanced phosphorylation at the FAK Y397 site in SNU-387 cells activated downstream PI3K/AKT and MEK/ERK signaling pathways(P<0.01),whereas inhibition of FAK(Y397)phosphorylation in Hep3B cells attenuated the activation of these signaling pathways(P<0.01).Conclusion PD-L1 activates FAK by suppressing PTP1B,thereby promoting migration,invasion,and proliferation in HCC.

Objective To explore the relationship between serum S100 calcium-binding protein(S100)A4,S100A12 and the infection type and prognosis of neonatal infectious pneumonia(NIP).Methods A total of 300 children with NIP admitted to the Neijiang Second People's Hospital from January 2021 to March 2024 were selected and divided into the bacterial infection group(214 cases)and the non-bacterial infection group(86 cases)according to the types of pathogenic bacteria.Another 150 healthy newborns in the same hospital during the same period were selected as the control group.The levels of serum S100A4 and S100A12 were de-tected by enzyme-linked immunosorbent assay.Pearson correlation analysis was conducted to examine the cor-relations between serum S100A4,S100A12 and procalcitonin(PCT),white blood cell count(WBC),albumin(Alb),and platelet count(PLT).The receiver operating characteristic(ROC)curve was used to evaluate the differential value of serum S100A4,S100A12,PCT,WBC,Alb,and PLT alone and in combination for NIP bac-terial infection.According to the prognosis,children with NIP were divided into the poor prognosis group(63 cases)and the good prognosis group(237 cases).Multivariate Logistic regression model was used to analyze the influencing factors of poor prognosis in children with NIP,and ROC curve was used to analyze the value of each factor in predicting poor prognosis in children with NIP.Results The levels of serum S100A4,S100A12,PCT,WBC,and PLT in the bacterial infection group were higher than those in the non-bacterial infection group and the control group,while Alb was lower than that in the non-bacterial infection group and the control group,the differences were statistically significant(P<0.05).Pearson correlation analysis showed that serum S100A4 and S100A12 in children with NIP were positively correlated with PCT,WBC and PLT(P<0.05),and negatively correlated with Alb(P<0.05).The results of ROC curve analysis showed that the area under the curve(AUC)of serum S100A4 and S100A12 in differentiating NIP infection types was slightly lower than that of PCT,WBC,Alb,and PLT in differentiating NIP infection types.The results of multivariate Logistic re-gression analysis showed that elevated S100A4,elevated S100A12,elevated PCT,bacterial infection,and lung consolidation were independent risk factors for poor prognosis in children with NIP(P<0.05).The AUC of bacterial infection,lung consolidation,PCT,S100A4,and S100A12 for predicting the poor prognosis of chil-dren with NIP was 0.903.It was greater than the AUC predicted separately by bacterial infection,lung consol-idation,PCT,S100A4,and S100A12 levels(Z=9.989,9.460,5.514,4.084,4.376,P<0.001).Conclusion The combination of serum S100A4 and S100A12 with traditional markers has certain discrimina-tory value for the infection types of NIP,and the levels of serum S100A4 and S100A12 are related to the prog-nosis of NIP.