• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    High-Throughput Profiling of Serological Immunoglobulin G N-Glycome as a Noninvasive Biomarker of Gastrointestinal Cancers

    2024-01-22 10:32:42PngchngLiuXiobingWngAishDunYutongLiHouqingLiLuWngYichunZhngCncnLiJinxiZhngXioyuZhngLixingHingHou
    Engineering 2023年7期

    Pngchng Liu, Xiobing Wng, Aish Dun, Yutong Li, Houqing Li, Lu Wng, Yichun Zhng,Cncn Li, Jinxi Zhng, Xioyu Zhng, Lixing M, Hing Hou,g,*

    a School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China

    b State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

    c School of Stomatology, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China

    d Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, China

    e Beijing Sanbo Brain Hospital, Capital Medical University, Beijing 100093, China

    f Department of Gastroenterology, The Second Affiliated Hospital of Shandong First Medical University, Taian 271000, China

    g Department of Epidemiology, School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China

    Keywords:Gastrointestinal cancer Glycosylation Immunoglobulin G Diagnostic biomarker

    ABSTRACT Immunoglobulin G (IgG) N-glycosylation plays a crucial role in the development of inflammatory diseases.This study aimed to evaluate the diagnostic performance of IgG for gastrointestinal(GI)cancer subtypes.A total of 749 GI cancer patients were enrolled from the Cancer Hospital, Chinese Academy of Medical Sciences,including esophageal cancer(EC),gastric cancer(GC),colorectal cancer(CRC),and pancreatic cancer(PC)patients.Hydrophilic interaction liquid chromatography using ultra-performance liquid chromatography (HILIC-UPLC) was employed to analyze the composition of the plasma IgG Nglycome.The levels of circulating inflammatory cytokines were detected by means of a Bio-Plex Pro Human Th17 Cytokine Assay.Canonical correlation analysis (CCA) was used to explore the correlation between IgG N-glycosylation patterns and inflammatory cytokines.A Lasso algorithm, accompanied by a logistic regression model, was used to develop a glycan-based model for differentiating GI cancer patients from healthy individuals.The levels of sialylation and galactosylation were significantly decreased among EC, GC, CRC, and PC patients, whereas the abundance of glycans with bisecting Nacetylglucosamine(GlcNAc)was increased in GI cancer patients in comparison with the healthy controls.Moreover, only PC patients had a decreased level of fucosylation.The levels of interleukin 1β (IL-1β), IL-31,and soluble CD40 ligand(sCD40L)were significantly higher in GI cancer patients than in the controls.In addition, the composition of IgG N-glycans was correlated with that of inflammatory cytokines(r=0.556).The glycan-based models for diagnosing GI cancers exhibited an excellent performance,with areas under the receiver operating characteristic curves (AUCs) of 0.972 for EC, 0.871 for GC, 0.867 for CRC, and 0.907 for PC.Our findings demonstrate that IgG N-glycosylation plays an important role in modulating the pathogenesis of GI cancers.Serological IgG N-glycosylation is thus a potential candidate for noninvasively assisting in the clinical diagnosis of GI cancer subtypes.

    1.Introduction

    Gastrointestinal (GI) cancers, including digestive tract (mouth,throat,esophagus,stomach, colorectum, and appendix) and digestive organ(pancreatic and hepatobiliary)carcinomas,are the most common malignancies, accounting for approximately 39% of all cancer deaths worldwide [1].In China, among the new cancer patients reported in 2020 (nearly 4.5 million), 478 508 (10.47%)had gastric cancer (GC), 555 477 (12.16%) had colorectal cancer(CRC), and 324 422 (7.10%) had esophageal cancer (EC) [2].The main health challenges caused by GI cancers have imposed a heavy burden on the healthcare system [3].Early diagnosis has been shown to be of great clinical significance for cancer management;however, commonly used noninvasive diagnostic approaches lack sufficient accuracy.

    Glycosylation is an enzyme-catalyzed post-translational reaction by which oligosaccharides are transferred to specific sites on biological macromolecules (e.g., proteins and lipids) and together form glycoconjugates (i.e., glycoproteins and glycolipids) [4–6].Glycosylation aberrations can be detected in the tumor tissues and biological fluids of cancer patients.The glycosylation signatures change dramatically along with the process of malignant transformation and tumor progression [7,8].As such, manifold serological glycoproteins have been widely employed as tumor markers, such as carbohydrate antigen 19–9 (CA19-9) for GI cancers, carcinoembryonic antigen (CEA) for colon cancer, alphafetoprotein (AFP) for liver cancer, carbohydrate antigen 125(CA125) for ovarian cancer, and prostate-specific antigen (PSA)for prostate cancer[9].However,these biomarkers possess insufficient sensitivity (Se) and specificity (Sp) [10].In addition, cancerspecific cell-surface glycophenotypes have been investigated in clinical settings and serve as treatment targets rather than as diagnostic biomarkers for high-throughput screening at the population level.Serological glycoproteins that carry out regulating functions in tumorigenesis,as well as relevant detection techniques,must be identified for the diagnosis and subtype differentiation of GI cancers.

    As a major component of humoral immunity and the most abundant immunoglobulin in human plasma, immunoglobulin G(IgG) plays a vital role in the inflammatory response [11,12].Each IgG contains two N-linked glycosylation sites at asparagine 297(Asn-297) of the fragment crystallizable (Fc) segment in heavy chains [13].N-glycans in the Fc region regulate the function of IgG effectors by affecting the binding affinity of Fcγ receptors[4,14,15].IgG glycosylation responds quickly to physiological or pathological changes but remains relatively stable within healthy individuals [16].By detecting glycoconjugates, the features of cancer-associated IgG glycosylation can be displayed.Studies have explored the potential role of the glycol phenotypes of IgG in hepatic, colorectal, gastric, lung, and ovarian cancers [17–20].

    Taking advantage of the progress that has been achieved in glycomics analyses, we conducted this investigation to comprehensively analyze the features of IgG N-glycosylation in four types of GI cancer—that is, EC, GC, CRC, and pancreatic cancer (PC)—and to evaluate the performance of glycan-based models for diagnosing GI cancers and subtypes.

    2.Materials and methods

    2.1.Study participants

    This case-control study included 749 GI cancer patients who were hospitalized at the Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China, between October 2018 and January 2020 (Fig.S1 in Appendix A).Among them, 100 patients had EC, 121 had GC, 328 had CRC, and 200 had PC.In addition,112 healthy participants of similar ages were recruited as controls.

    The inclusion criteria for cancer patients were as follows:①patients diagnosed with EC (International Classification of Diseases Tenth Revision (ICD-10) code, C15), GC (C16), CRC (C18), or PC(C25)through histopathological examination of tissue biopsies;②histological diagnostic criteria conforming to the World Health Organization (WHO) Classification of Tumours (4th edition), Volume 1: Digestive System Tumours [21]; ③no other severe somatic or psychiatric disorders; and ④not enrolled in other clinical trials.The exclusion criteria were:①patients with severe infectious diseases and cardiovascular diseases, such as coronary heart disease(I25.1) and stroke (I64); ②patients with psychiatric disorders(F99); and ③patients who declined to participate in this study.

    The study protocol was approved by the ethics committee of the National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences (No.NCC1839).Written informed consent was obtained from each participant.

    2.2.Collection and storage of blood samples

    Blood samples were collected by venipuncture after 12 h of overnight fasting.The separated plasma and serum were used for the detection of IgG N-glycans and routine biochemical tests,respectively.All collected blood samples were processed within 8 h and stored at -80 °C until further measurement.

    2.3.Measurements of demographic and clinical variables

    Demographic information was obtained through in-person interviews with participants and/or their families.Hematology and biochemical parameters, including fasting blood glucose(FBG), total cholesterol (TC), high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides(TG),were determined with an automatic analyzer(Hitachi,Japan) (Table 1).

    2.4.Analysis of cancer biomarkers and inflammatory cytokines

    The levels of circulating CA19-9 and CEA were measured by means of immunochemiluminometric assays (AutoLumo A2000Plus, China).The normal range of CA19-9 was 0–37 U?mL-1,and participants with CA19-9 > 37 U?mL-1were defined as abnormal [22].Serological CEA levels were classified into two groups:normal (≤5.0 ng?mL-1) and elevated (> 5.0 ng?mL-1) [23].

    To identify the levels of inflammatory cytokines among GI cancers, a subset of the participants (45 EC, 45 GC, 45 CRC, and 45 PC patients, and 48 healthy controls) were randomly selected to test against nine inflammatory cytokines—that is, interleukin-1β (IL-1β), IL-4, IL-6, IL-17A, IL-17F, IL-31, IL-33, soluble CD40 ligand(sCD40L), and tumor necrosis factor-α (TNF-α), using the Bio-Plex 200 suspension array system (Bio-Rad, USA) with the Bio-Plex Pro Human Th17 Cytokine 15-plex Assay (Bio-Rad) [24].

    2.5.Analysis of IgG glycans

    Isolation of plasma IgG and release of IgG Fc N-linked glycans were performed in accordance with the approaches established previously [25,26].In brief, a 100 μL plasma sample was added to a 96-well protein G monolithic plate(BIA Separations,Slovenia)for IgG isolation.Isolated IgG samples were denaturized with 1 mL of 0.1 mol?L-1formic acid and immediately neutralized with 1 mol?L-1ammonium bicarbonate.For N-glycan release, 4 μL of PNGase F enzyme was added to the IgG samples and incubated in a 37 °C water bath for 18 h.

    The released N-glycans were labeled with 2-aminobenzamide(2-AB) and then transferred into an oven at 65 °C for 3 h.The 2-AB labeled glycans were analyzed with hydrophilic interaction liquid chromatography using an ultra-performance liquid chromatography (HILIC-UPLC) instrument (Walters Corporation, USA), by which 24 IgG glycan peaks (GPs) were detected.The structures of these GPs were identified by reference to a dataset established by mass spectrometry [27].The level of each glycan was quantitated by the percentage of the area of the relevant chromatogram peak to the integrated area of all glycans.Furthermore, we calculated the 54 derived glycan traits using the measurements of the initial glycans, which consisted of sialylation, bisectingN-acetylglucosamine (GlcNAc), galactosylation, and fucosylation traits (Table S1 in Appendix A) [28].

    Table 1 Characteristics of the study participants.

    2.6.Statistical analysis

    The assumption of normal distribution of continuous data was tested using the Kolmogorov–Smirnov test.The mean and standard deviation (SD) were used to represent normally distributed data;otherwise, the median (M) and interquartile range (IQR) were employed when a normal distribution was absent.One-way analysis of variance (ANOVA) was performed to analyze the betweengroup difference in normally distributed variables; otherwise, the nonparametric test (i.e., Kruskal–Wallis test) was carried out.Moreover, multiple comparison correction was performed with the Benjamini–Hochberg method of false discovery rate(FDR)correction.Categorical variables were expressed by frequency and percentage (%) and analyzed by the chi-squared test (χ2test),accompanied by a post hoc Bonferroni correction.Canonical correlation analysis (CCA) was used to explore the overall correlation between the 24 glycan structures (x) and inflammatory cytokines(y).Identified variables with a statistically significant impact on the canonical variables were judged by the canonical loadings.In general,an absolute value greater than 0.30 was used to define significant loadings [29].A clustering analysis and heatmap were undertaken to further explore the inflammatory cytokines significantly associated with GI cancers [30].

    We established glycan-based diagnostic models for GI cancers.Internal validation was performed by randomly splitting the participants into training and validation sets at a certain ratio (7:3)[31].First, the least absolute shrinkage and selection operator(Lasso) algorithm was used to screen initial glycans that were significantly associated with GI cancers,thus avoiding overfitting and effectively controlling the model’s complexity.Significant glycans selected with Lasso were then introduced into multivariate logistic regression analysis, with the forward maximum likelihood ratio test being taken as the stopping rule during the model building;in this way, adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were then obtained.A diagnostic model for each GI cancer was developed using the significant glycans.Then, a receiver operator characteristic (ROC) curve was created to evaluate the performance of this model, by which the area under the curve(AUC) value, Se, and Sp were calculated.R software version 4.1.1(R Core Team, New Zealand) and SPSS software version 25.0(IBM,USA) were used for statistical analyses.The R package‘‘glmnet”was used to run the Lasso algorithm.ROC curves and AUC values were generated using the ‘‘pROC” R package and GraphPad Prism(GraphPad Software,Inc.,USA).A P value<0.05 was considered statistically significant.

    3.Results

    3.1.Characteristics of study participants

    The demographics,biochemical indicators,and clinical features of the 749 GI cancer patients(mean age 58 years,484 men and 265 women)and 112 healthy controls are listed in Table 1,as well as in Tables S2–S11 and Figs.S2 and S3 in Appendix A.No statistically significant difference in age was detected between each cancer group and the controls.Significantly lower levels of serum TC and HDL-C were observed among the EC, GC,CRC,and PC patients compared with the healthy control group.The FBG in the EC, GC,and CRC groups was also significantly lower than that in the control group.The prevalence of dyslipidemia was significantly higher in the GC,CRC,and PC patients than in the controls.In addition,the PC patients had a higher prevalence of hyperglycemia than the GC,CRC, and control groups.

    3.2.Description of clinically used cancer biomarkers

    The level of CA19-9 in the healthy control group was 7.63 U?mL-1(IQR:5.11,10.70),which was significantly lower than that in the GC (M = 9.23; IQR: 5.15, 18.95), CRC (M = 12.56; IQR: 7.50,25.31), and PC (M = 66.88; IQR: 11.89, 529.83) groups.The level of CEA in the control group was 1.53 ng?mL-1(IQR: 1.21, 2.00),which was significantly lower than that in the EC (M = 2.04;IQR: 1.19, 2.97), GC (M = 1.78; IQR: 1.04, 3.73), CRC (M = 3.07;IQR: 1.48, 8.37), and PC (M = 2.76; IQR: 1.80, 6.40) groups.

    3.3.Inflammatory cytokines

    As shown in Tables S12–S22 in Appendix A,the circulating concentrations of IL-1β, IL-31, sCD40L, and TNF-α were significantly higher in the four cancer groups than in the control group.Compared with the EC group, PC patients had significantly higher plasma levels of IL-31, sCD40L, and TNF-α.No significant differences were observed for IL-4,IL-6,IL-17A,IL-17F,or IL-33 between the groups.

    A clustering analysis was conducted to identify the patterns of circulating inflammatory cytokines in GI cancers.As shown in Fig.1, individuals with GI cancers shared similar inflammatory cytokines, which were significantly different from those of the healthy controls (e.g., sCD40L and IL-31).

    Fig.1.Clustering analysis of the patterns of inflammatory cytokines in GI cancers.

    3.4.The IgG glycome composition in GI cancer patients

    Our HILIC-UPLC assay initially identified 24 oligosaccharide chains that were linked to the IgG Fc segment.Of these, there were significant differences in the abundance of 21 glycans between the EC, GC, CRC, PC, and control groups (Table 2;Figs.S4–S7 in Appendix A).We further calculated 54 derived glycan traits using the measurements of the initial glycans [28].As indicated in Tables S23–S33 in Appendix A, 48 of the 54 derived glycan traits differed between the four types of GI cancer groups and the controls.

    Moreover, to explore the modulatory role of IgG N-glycans in the development of GI cancers, we calculated the summary abundances of the four major glycosylation features—that is,sialylation,bisecting GlcNAc, galactosylation, and fucosylation (Table S34 in Appendix A) [13].

    3.4.1.Galactosylation

    As depicted in Table 3, the percentages of glycan structures without a terminal galactose (agalactosylation, G0) were 37.37%in EC, 36.00% in GC, 36.78% in CRC, and 36.85% in PC patients,which were significantly higher than those in the control group(31.42%).The galactosylation traits include glycans with one terminal galactose (monogalactosylation, G1) and two galactoses(digalactosylation, G2) [6].The abundances of G1 in the EC, GC,CRC, and PC groups were 42.22%, 42.90%, 42.98%, and 43.05%,respectively, which were lower than those in the control group(44.47%).In addition, the abundances of G2 in the EC, GC, CRC,and PC patients (19.75%,20.40%,19.30%, and 18.99%,respectively)were also lower than those in the control group (22.93%).

    3.4.2.Sialylation

    In total, a lower level of sialylation was identified in the EC(20.70%), GC (20.93%), CRC (20.22%), and PC (20.86%) groups than in the controls (21.63%) (Table 3).

    Table 2 A comparison of abundance (%) between 24 initial glycans in the studied groups.

    Table 3 A comparison of the relative abundance (%) of four IgG glycome features.

    3.4.3.Bisecting GlcNAc

    The percentage of glycans with bisecting GlcNAc was significantly higher in the EC (17.68%), GC (17.10%), CRC (17.31%), and PC (17.09%) patients than in the controls (15.92%) (Table 3).

    3.4.4.Fucosylation

    The level of fucosylation was significantly lower in the PC patients (94.96%) than in the controls (95.49%) (Table 3).

    These findings indicated a significant decrease in galactosylated, sialylated, and fucosylated glycans among GI cancers,while bisecting GlcNAc was significantly higher among these glycans.Details on galactosylation, sialylation, bisecting GlcNAc,and fucosylation are provided in Tables S35-S38 and Box S1 in Appendix A.

    3.5.Association of IgG N-glycans with GI cancers

    As listed in Table S39 in Appendix A, after being adjusted for sex, FBG, TC, HDL-C, and the prevalence of dyslipidemia, four glycans were significantly associated with EC: GP10 (OR: 7.371; 95%CI: 2.301, 23.608; P = 0.001); GP11 (OR: 5.943 × 10-6; 95% CI:3.061 × 10-8, 0.001; P < 0.001); GP14 (OR: 0.758; 95% CI: 0.607,0.948; P = 0.015); and GP23 (OR: 0.195; 95% CI: 0.055, 0.697;P = 0.012).Meanwhile, sex, FBG, TC, HDL-C, and the prevalence of dyslipidemia showed no significance.

    For the logistic regression analysis of GC, GP5 (OR: 4.489 ×10-4; 95% CI: 1.817 × 10-5, 0.011; P < 0.001), GP6 (OR: 2.652;95% CI: 1.625, 4.326; P < 0.001), sex (OR: 0.190; 95% CI: 0.070,0.519; P = 0.001), FBG (OR: 0.585; 95% CI: 0.435, 0.787;P <0.001), and TC(OR:0.438;95%CI:0.25,0.745;P =0.002) were of significance (Table S40 in Appendix A).

    With regard to CRC,two glycans and three covariates were statistically significant: GP2 (OR: 12.941; 95% CI: 3.840, 43.616;P < 0.001), GP20 (OR: 1.305 × 10-10; 95% CI: 3.535 × 10-14,4.818 × 10-7; P < 0.001), sex (OR: 0.428; 95% CI: 0.203, 0.901;P = 0.026), FBG (OR: 0.647; 95% CI: 0.496, 0.844; P = 0.001), and HDL-C (OR: 0.222; 95% CI: 0.087, 0.566; P = 0.002) (Table S41 in Appendix A).

    Four glycans and one covariate were significantly associated with PC: GP17 (OR: 53.358; 95% CI: 9.165, 310.659; P < 0.001), GP19(OR: 3.855; 95% CI: 1.506, 9.869; P = 0.005), GP20 (OR: 3.076 ×10-5; 95% CI: 1.251 × 10-7, 0.008; P < 0.001), GP23 (OR: 0.115;95% CI: 0.046, 0.286; P < 0.001), and HDL-C (OR: 0.061; 95% CI:0.022,0.175;P<0.001)(Table S42 in Appendix A).

    3.6.Association between IgG N-glycans and inflammatory cytokines

    Fig.2.Canonical structures of the IgG N-glycans and inflammatory cytokines.An absolute value of canonical loadings greater than 0.30 was considered significant.All variables are sorted by the absolute value of their canonical loadings.Positive relationships are represented in red boxes, while negative relationships are shown in black boxes.

    The compositions of IgG N-glycans were significantly correlated with inflammatory cytokines, with a canonical correlation coefficient (r) of 0.556 (P = 0.005) (Fig.2).Six glycans (GP1, GP2, GP4,GP14, GP15, and GP18) were associated with sCD40L, IL-31, TNFα, IL-17A, and IL-6.Moreover, a strong association was observed between GP18 and the canonical variables, with a loading of 0.497,and the response variable with the highest canonical loading was -0.669 (sCD40L).

    3.7.Discrimination of EC,GC,CRC,and PC from healthy controls based on IgG N-glycosylation

    Fig.3.Logistic regression analyses of the associations between the initial glycans and GI cancers.(a) EC; (b) GC; (c) CRC; (d) PC.

    Fig.4.Receiver operating characteristic curves (ROC) with AUC values for glycan-based prediction models.Glycan model of (a) EC; (b) GC; (c) CRC; (d) PC.

    As shown in Figs.3 and 4, to establish a diagnostic model of GI cancers on the basis of the 24 initial glycans,a Lasso algorithm was used and a logistic regression analysis was carried out,according to which four glycans (GP10, GP11, GP14, and GP23) were employed for the diagnosis of EC(Fig.3(a));a ROC curve analysis was used to evaluate the performance of this diagnostic model (Fig.4(a)).The AUC value was 0.972 (95% CI: 0.945, 0.998), with an Se of 95.3%and an Sp of 95.0%, indicating that the glycan-based model had a significantly better performance than CA19-9 (AUC: 0.693; 95%CI: 0.603, 0.783) and CEA (AUC: 0.797; 95% CI: 0.723, 0.871).

    GP5,GP6,and GP18 were employed for the diagnosis of GC,and also demonstrated a better performance (AUC: 0.871; 95% CI:0.815, 0.926) compared with CA19-9 (AUC: 0.662; 95% CI: 0.577,0.747) and CEA (AUC: 0.731; 95% CI: 0.653, 0.810) (Figs.3(b) and 4(b)).

    In addition,the diagnostic model of CRC,which consisted of GP2 and GP20,showed a significantly better performance(AUC:0.867;95% CI: 0.816, 0.917) than CA19-9 (AUC: 0.521; 95% CI: 0.453,0.590) and CEA (AUC: 0.530; 95% CI: 0.466, 0.594) (Figs.3(c) and 4(c)).

    Furthermore, GP6, GP8, GP10, GP15, GP17, GP19, GP20, GP21,and GP23 were selected for the diagnosis of PC, and also demonstrated a significantly better performance (AUC: 0.907; 95% CI:0.865, 0.949) than CA19-9 (AUC: 0.690; 95% CI: 0.620, 0.759) and CEA (AUC: 0.562; 95% CI: 0.486, 0.639) (Figs.3(d) and 4(d)).

    In the validation dataset, the glycan-based models had AUCs of 0.991 (95% CI: 0.977, 0.999), 0.874 (95% CI: 0.791, 0.957), 0.856(95% CI: 0.785, 0.928), and 0.872 (95% CI: 0.800, 0.944) for EC,GC, CRC, and PC, respectively (Fig.5).

    3.8.Comparison between glycans in early and advanced GI cancers

    As shown in Tables S43–S46 in Appendix A, the glycosylation patterns were similar in early-and advanced-stage cancer patients.

    3.9.Diagnostic model for GI cancer patients in early and advanced stages

    In this study,clinical stages I–II were defined as early stage,and stages III–IV were defined as advanced stage (Fig.S3 in Appendix A).Taking 24 glycans as a starting point, a diagnostic model for early-stage EC was established, with four glycans (GP11, GP21,GP23,and GP24)being included in the model(Table S47 in Appendix A).Three glycans (GP11, GP17, and GP23) were selected to establish a diagnostic model for advanced EC(Table S47 in Appendix A).

    Fig.5.ROC curves in the internal validation set.(a) EC; (b) GC; (c) CRC; (d) PC.

    Regarding a subgroup analysis of GC, two glycans (GP5 and GP6)were employed for the diagnosis of early GC,and two glycans(GP4 and GP5)were selected for developing a diagnostic model for advanced GC (Table S48 in Appendix A).With regard to CRC, four glycans (GP8, GP10, GP11, and GP20) were employed for the diagnosis of early-stage patients,and two glycans (GP2 and GP18)were selected for the diagnosis of advanced patients (Table S49 in Appendix A).Furthermore, two glycans (GP2 and GP13) were employed for the diagnosis of early PC, and six glycans (GP7,GP8,GP17,GP18,GP20, and GP23)were selected for the diagnosis of advanced PC (Table S50 in Appendix A).Details of the model validation are provided in Fig.S8 in Appendix A.

    4.Discussion

    The massive amount of data generated by high-throughput genomics and proteomics experiments has advanced our understanding of cancer; nevertheless, there is still a surprising scarcity of well-validated,clinically useful biomarkers.In addition to genomics and proteomics, the emerging field of glycomics is gaining importance in glycomedicine and cancer research [32].Glycan moieties of IgG Fc segments (i.e., galactose, sialic acid, bisecting GlcNAc, and fucose) participate in the pathophysiological process of inflammatory disorders and provide potential for the early diagnosis and targeted treatment of inflammatory diseases, including cancers (Table S51 in Appendix A) [9,25,28,33,34].

    This study comprehensively analyzed serological IgG N-glycan profiles in four types of GI cancer (EC, GC, CRC, and PC) by means of an HILIC-UPLC-based high-throughput method.We demonstrated a decrease in IgG sialylation and galactosylation and an increase in bisecting GlcNAc among GI patients.These alterations in IgG glycosylation induced a pathological increase in inflammatory cytokines, such as IL-1β, IL-31, sCD40L, and TNF-α, and contributed to the development of GI cancers.In addition, the IgG N-glycosylation trait has the capacity to serve as a potential biomarker for GI cancer diagnosis and subtype differentiation from healthy individuals, and demonstrates a significantly higher performance than clinically used serological biomarkers such as CA19-9 and CEA.Consequently, high-throughput assay of IgG N-glycans is expected to be exploited for the early diagnosis and targeted treatment of GI cancers.

    The mechanism of tumorigenesis is regulated by both acute and chronic inflammation [35,36].A variety of molecules, especially pro-inflammatory cytokines (e.g., IL-1β, IL-6, and TNF-α), are engaged in the development of cancer [37–40].Studies have demonstrated that IgG N-glycans modulate the pro- and antiinflammatory balance in both inflammatory and autoimmune diseases [15,41–43].In the current study, an overall correlation between GI cancer-related IgG N-glycans and inflammatory cytokines was identified, supporting previous findings in the investigation of patients with primary tumors of the GI tract [44].These findings emphasize the role of IgG N-glycosylation in the regulation of inflammatory response.

    IgG sialylation—also known as sialic acid or N-acetylneuraminic acid (Neu5Ac)—plays a role in the anti-inflammatory properties of IgG [45–47].During the development of IgG N-glycans, the terminal sialic acid residue covalently attaches to galactose and leads to a reduced capacity to ligate FcγRIIIa on natural killer(NK) cells, thereby lowering inflammatory activity via antibodydependent cell cytotoxicity (ADCC) [48,49].The absence of sialic acid dramatically impacts the function of IgG, shifting from anti- to pro-inflammatory.Consistent with our findings, a decrease in sialylation has also been associated with GI cancers[7,8,50,51].

    Galactosylation can promote IgG of its affinity for the inhibitory FcγRIIb and thereby increase its anti-inflammatory activities [52].A decrease in IgG galactosylation—termed agalactosylation—can expose GlcNAc residues; this increases IgG binding with mannose-binding lectin, which results in the upregulation of CDC activity and leads to the initiation of inflammation[5,52–54].Studies have reported that the complement effector system is extensively activated in various tumor microenvironments, leading to tumor initiation and growth [55].Consistent with our findings,an elevated level of agalactosylated IgG has been detected in GC,CRC,and PC patients,indicating its role in the development of cancers [8,51,54,56–58].Studies have also suggested that agalactosylation is strongly correlated with an increase in proinflammatory cytokines such as TNF-α and C-reactive protein(CRP) [59,60].Our findings showed significantly higher TNF-α levels in EC,GC,CRC,and PC patients,evidencing that the agalactosylation of IgG plays a crucial role in the upregulation of the inflammatory process in cancer.

    Fucosylation has been intensively studied due to its mechanisms of antibody-based therapeutics against tumors via ADCC.Fucosylation on IgG inhibits ADCC via decreased FcγRIIIa binding on NK cells, downregulating the pro-inflammatory activity of IgG[61,62].The ADCC activity of IgG without a core fucose on the N-glycan is enhanced by up to 100-fold [63].A decreased level of fucosylation was observed in PC patients in our study, supporting the findings in another Chinese PC patients, among which significantly lower fucosylation, sialylation and galactosylation were demonstrated[7].Moreover,lower fucosylated IgG promotes the production of pro-inflammatory cytokines that are secreted by monocytes,including IL-1β,IL-6,and TNF-α[64].Similarly,fucoserich IgG reduces the production of TNF-α and IL-6, resulting in anti-inflammatory activity [65].Our findings showed that TNF-α,IL-1β,IL-31,and sCD40L levels were significantly higher in GI cancer patients than in the controls, supporting the abovementioned findings [66–68].

    The bisecting GlcNAc of IgG regulates ADCC by causing an increase in affinity to FcγRIIIa, leading to the pro-inflammatory function of IgG[47,69].This disruption in the balance of inflammation progression is considered to play an important role in the development of carcinomas [62,70].In the present study, we observed an increase in bisecting GlcNAc among EC, GC, CRC, and PC patients, which was consistent with analogous findings in previous reports [7,50,54,57].An in vitro experiment showed that a decrease in bisecting GlcNAc was associated with increasing levels of IL-21[71].However,no IL-21 values were detected in the serum of our study participants.

    Although ADCC is a crucial pathway against tumors,the upregulation of ADCC induced by abnormal IgG N-glycans has not been demonstrated to be associated with more accurate diagnosis.Studies have reported that decreased galactosylation, decreased sialylation, and increased bisecting GlcNAc in IgG N-glycans are associated with poorer prognosis among CRC patients [51].

    Massive quantities of serum biomarkers have been investigated to monitor the clinical progression of cancer or to define treatment regimens.Although some of these tumor biomarkers play an important role in disease management, they are of limited use as diagnostic tools due to insufficient Sp or Se.At present,the noninvasive IgG N-glycan assay provides a high level of accuracy in the diagnosis of inflammatory and immune diseases [72].The combination of the HILIC analysis of fluorescently tagged N-glycans with UPLC analysis has been demonstrated to be a valuable approach[27].In the current study, the high-throughput analysis of IgG Nglycosylation presented significantly high AUC values of 0.972,0.871, 0.867, and 0.907 for distinguishing EC, GC, CRC, and PC,respectively.Consistent with findings in prostate cancer,lung cancer, and bladder cancer[73–75], the present findings demonstrate the potential of IgG N-glycosylation for the early diagnosis of GI cancers.

    This study has several limitations that should be interpreted.First, the case-control study design limited the inference of the causal effect between IgG N-glycosylation and diseases.Second,even though glycosylation can have major etiological effects in cancers, environmental and lifestyle factors were not measured in this study,although they play important roles in the development of cancers.

    In conclusion, our findings indicate that decreases in IgG sialylation and galactosylation, together with an increase in bisecting GlcNAc,might play important roles in the carcinogenesis and progression of GI cancers.Serological IgG N-glycosylation may serve as a potential candidate for noninvasively assisting the clinical diagnosis of GI cancer subtypes.To the best of our knowledge, this is the first report on integrative comparisons of IgG N-glycosylation profiles in EC, GC, CRC, and PC patients; it offers opportunities for the identification of new diagnostic biomarkers for GI cancers.

    Acknowledgments

    This work was supported by the Shandong Provincial Natural Science Foundation (ZR2022MH082) and the National Natural Science Foundation of China (81872682).We thank Professor Youxin Wang at Capital Medical University for his helpful suggestions on this work.

    Compliance with ethics guidelines

    Pengcheng Liu,Xiaobing Wang,Aishe Dun,Yutong Li,Houqiang Li, Lu Wang, Yichun Zhang, Cancan Li, Jinxia Zhang, Xiaoyu Zhang,Lixing Ma, and Haifeng Hou declare that they have no conflicts of interest or financial conflicts to disclose.

    Appendix A.Supplementary data

    Supplementary data to this article can be found online at https://doi.org/10.1016/j.eng.2023.02.008.

    免费黄网站久久成人精品| 插阴视频在线观看视频| 欧美一区二区国产精品久久精品| 亚洲成人中文字幕在线播放| 99国产极品粉嫩在线观看| 2021天堂中文幕一二区在线观| 天堂中文最新版在线下载 | 亚洲人成网站在线观看播放| 青春草视频在线免费观看| 免费av观看视频| 一个人看视频在线观看www免费| 亚洲最大成人中文| 亚洲成人av在线免费| 国产午夜福利久久久久久| 男的添女的下面高潮视频| 大型黄色视频在线免费观看| 日韩欧美精品v在线| 久久99热这里只有精品18| 亚洲内射少妇av| 国产私拍福利视频在线观看| 亚洲丝袜综合中文字幕| 高清在线视频一区二区三区 | 日日啪夜夜撸| 亚洲欧美日韩东京热| 成人永久免费在线观看视频| 又黄又爽又刺激的免费视频.| 午夜福利成人在线免费观看| 国产视频内射| 嘟嘟电影网在线观看| 欧美成人免费av一区二区三区| 最近2019中文字幕mv第一页| 中国美女看黄片| 99riav亚洲国产免费| 成人av在线播放网站| 99热这里只有是精品在线观看| 色尼玛亚洲综合影院| 日韩一区二区视频免费看| 久久久久久久久久成人| 国产老妇女一区| 神马国产精品三级电影在线观看| 最新中文字幕久久久久| 国产av不卡久久| 午夜亚洲福利在线播放| 国产精品久久久久久av不卡| 国产人妻一区二区三区在| 久久久国产成人精品二区| 亚洲欧美成人精品一区二区| 免费看a级黄色片| 噜噜噜噜噜久久久久久91| 狂野欧美白嫩少妇大欣赏| 可以在线观看毛片的网站| av在线蜜桃| 变态另类丝袜制服| 午夜激情欧美在线| 99久久精品一区二区三区| 白带黄色成豆腐渣| 女同久久另类99精品国产91| 国产黄片美女视频| 国产黄a三级三级三级人| 成人国产麻豆网| 哪个播放器可以免费观看大片| 插逼视频在线观看| 亚洲不卡免费看| 亚洲图色成人| 亚洲国产精品国产精品| 国产乱人偷精品视频| 免费人成在线观看视频色| 九草在线视频观看| 亚洲成人久久性| 成人国产麻豆网| 欧美一区二区国产精品久久精品| av卡一久久| 亚洲成人久久爱视频| 高清毛片免费看| 精品久久久久久久人妻蜜臀av| 一个人看的www免费观看视频| 日日啪夜夜撸| 97超视频在线观看视频| 日本av手机在线免费观看| 国产精品美女特级片免费视频播放器| 内地一区二区视频在线| 久久久欧美国产精品| 高清午夜精品一区二区三区 | 99视频精品全部免费 在线| 此物有八面人人有两片| 精品国产三级普通话版| 亚洲精品粉嫩美女一区| 91久久精品国产一区二区成人| 老司机影院成人| 99热这里只有精品一区| 日韩成人伦理影院| 日本免费一区二区三区高清不卡| 久久精品国产亚洲av香蕉五月| 九色成人免费人妻av| 免费人成视频x8x8入口观看| 国产高清有码在线观看视频| 亚洲在久久综合| 欧美最黄视频在线播放免费| 91精品一卡2卡3卡4卡| 国产毛片a区久久久久| 国产女主播在线喷水免费视频网站 | 欧美不卡视频在线免费观看| 国产色爽女视频免费观看| 日韩一区二区视频免费看| 国产色爽女视频免费观看| 亚洲在线自拍视频| kizo精华| 两性午夜刺激爽爽歪歪视频在线观看| 亚洲欧美成人精品一区二区| 国产伦在线观看视频一区| 国产精品一区二区三区四区免费观看| 成年版毛片免费区| 两个人的视频大全免费| 天堂中文最新版在线下载 | a级毛片a级免费在线| 色吧在线观看| 日韩精品有码人妻一区| 看片在线看免费视频| 搞女人的毛片| .国产精品久久| 成人亚洲欧美一区二区av| 蜜臀久久99精品久久宅男| 国产男人的电影天堂91| av又黄又爽大尺度在线免费看 | 少妇裸体淫交视频免费看高清| 搡老妇女老女人老熟妇| 成人毛片a级毛片在线播放| 特大巨黑吊av在线直播| 国产淫片久久久久久久久| 国产日本99.免费观看| 国产精品永久免费网站| 伦精品一区二区三区| 久久久久免费精品人妻一区二区| 国产黄色视频一区二区在线观看 | 日本一二三区视频观看| 亚洲精品久久国产高清桃花| 高清午夜精品一区二区三区 | 色综合站精品国产| 免费搜索国产男女视频| 男人狂女人下面高潮的视频| 日韩一区二区视频免费看| 亚洲电影在线观看av| 久久亚洲精品不卡| а√天堂www在线а√下载| 美女 人体艺术 gogo| 九九爱精品视频在线观看| 搞女人的毛片| 亚洲成人精品中文字幕电影| 精品久久久久久久久av| 久久久色成人| 亚洲精品乱码久久久v下载方式| 中文资源天堂在线| 国产精品综合久久久久久久免费| 国产一区亚洲一区在线观看| 午夜福利在线观看吧| 国产在视频线在精品| 午夜福利在线观看免费完整高清在 | 麻豆成人午夜福利视频| 免费人成在线观看视频色| 成年女人看的毛片在线观看| 国产蜜桃级精品一区二区三区| 91久久精品国产一区二区三区| 日本黄大片高清| 日日摸夜夜添夜夜添av毛片| 女同久久另类99精品国产91| 国产精品福利在线免费观看| 久久久精品94久久精品| av天堂在线播放| 一个人看的www免费观看视频| 国产三级在线视频| 日日撸夜夜添| 91久久精品国产一区二区三区| 美女内射精品一级片tv| 麻豆乱淫一区二区| 又黄又爽又刺激的免费视频.| 久久久久免费精品人妻一区二区| 亚洲电影在线观看av| 国产乱人视频| 深夜精品福利| 激情 狠狠 欧美| 岛国在线免费视频观看| 麻豆精品久久久久久蜜桃| 国产成人精品一,二区 | 国产精品免费一区二区三区在线| 天天躁日日操中文字幕| 免费看日本二区| av在线亚洲专区| 男人舔奶头视频| 国国产精品蜜臀av免费| 亚洲av免费高清在线观看| 欧美区成人在线视频| 嫩草影院精品99| 伦理电影大哥的女人| 国产精品女同一区二区软件| 男人的好看免费观看在线视频| 在线免费十八禁| 国产伦精品一区二区三区四那| 国产亚洲精品久久久久久毛片| 亚洲欧美成人综合另类久久久 | 午夜福利在线观看吧| 高清毛片免费看| 欧美日韩综合久久久久久| 久久婷婷人人爽人人干人人爱| 久久九九热精品免费| 久久久久久久久中文| 久久亚洲精品不卡| 久久韩国三级中文字幕| 国产高清三级在线| 中文字幕av成人在线电影| 一夜夜www| 天堂影院成人在线观看| 一级黄色大片毛片| 亚洲av.av天堂| 久99久视频精品免费| 欧美人与善性xxx| 色综合亚洲欧美另类图片| 在线免费十八禁| 国产伦一二天堂av在线观看| 蜜臀久久99精品久久宅男| 美女xxoo啪啪120秒动态图| 女的被弄到高潮叫床怎么办| 欧美区成人在线视频| 精品久久国产蜜桃| 久久九九热精品免费| 麻豆一二三区av精品| 2021天堂中文幕一二区在线观| 男人舔女人下体高潮全视频| 国产一区二区在线av高清观看| 亚洲人与动物交配视频| 亚洲在线自拍视频| 一个人看的www免费观看视频| 久久99精品国语久久久| 成人特级av手机在线观看| 免费看av在线观看网站| 免费av不卡在线播放| 久久久久久国产a免费观看| 老司机福利观看| 身体一侧抽搐| 校园人妻丝袜中文字幕| 又黄又爽又刺激的免费视频.| 人人妻人人澡欧美一区二区| 欧美成人一区二区免费高清观看| 国产探花在线观看一区二区| 亚洲自拍偷在线| 男人的好看免费观看在线视频| 91精品一卡2卡3卡4卡| 日韩欧美一区二区三区在线观看| 最近的中文字幕免费完整| 成年版毛片免费区| 变态另类丝袜制服| 中文字幕制服av| 寂寞人妻少妇视频99o| 日韩强制内射视频| 简卡轻食公司| 久久久欧美国产精品| 亚洲真实伦在线观看| 一个人免费在线观看电影| 国产精品三级大全| 99热全是精品| 久久精品国产亚洲av涩爱 | 亚洲欧美中文字幕日韩二区| 99视频精品全部免费 在线| 一夜夜www| 99久久精品一区二区三区| 美女国产视频在线观看| 成年av动漫网址| 日本五十路高清| 日韩亚洲欧美综合| 欧美三级亚洲精品| 中国美女看黄片| 伊人久久精品亚洲午夜| 美女xxoo啪啪120秒动态图| 国产探花在线观看一区二区| 亚洲精品色激情综合| 国产精品久久电影中文字幕| 97人妻精品一区二区三区麻豆| 最近2019中文字幕mv第一页| 成人毛片a级毛片在线播放| 午夜老司机福利剧场| 久久鲁丝午夜福利片| 精品久久国产蜜桃| 联通29元200g的流量卡| 亚州av有码| 免费黄网站久久成人精品| 中文欧美无线码| 麻豆成人午夜福利视频| 人妻夜夜爽99麻豆av| 欧美xxxx黑人xx丫x性爽| av在线亚洲专区| 男女边吃奶边做爰视频| 国产高清三级在线| 国产精品免费一区二区三区在线| 中文字幕人妻熟人妻熟丝袜美| 精品人妻视频免费看| 国产美女午夜福利| 不卡一级毛片| 18禁裸乳无遮挡免费网站照片| 婷婷亚洲欧美| 一个人免费在线观看电影| 中文字幕av在线有码专区| 欧美精品国产亚洲| 啦啦啦观看免费观看视频高清| 久久久久久伊人网av| 亚洲av不卡在线观看| 久久99蜜桃精品久久| 熟女人妻精品中文字幕| 色哟哟哟哟哟哟| 18禁在线无遮挡免费观看视频| 国产精品乱码一区二三区的特点| 嫩草影院新地址| 啦啦啦观看免费观看视频高清| 91麻豆精品激情在线观看国产| 午夜精品国产一区二区电影 | 国产亚洲精品久久久com| 国产精品一区二区在线观看99 | avwww免费| 干丝袜人妻中文字幕| 亚洲精品日韩在线中文字幕 | 婷婷色综合大香蕉| 性欧美人与动物交配| 欧美又色又爽又黄视频| 国产日本99.免费观看| 日本免费一区二区三区高清不卡| 国产精品美女特级片免费视频播放器| 中文字幕av成人在线电影| 好男人在线观看高清免费视频| 女同久久另类99精品国产91| 高清毛片免费观看视频网站| 久久精品91蜜桃| 嫩草影院入口| 岛国毛片在线播放| 色播亚洲综合网| 麻豆成人av视频| 乱人视频在线观看| 国产成人一区二区在线| 国产黄色小视频在线观看| 18+在线观看网站| 久久久久久国产a免费观看| 青春草视频在线免费观看| 国产一区亚洲一区在线观看| 成人综合一区亚洲| 色哟哟·www| 啦啦啦韩国在线观看视频| 精品午夜福利在线看| 中文在线观看免费www的网站| 亚洲美女视频黄频| 国内久久婷婷六月综合欲色啪| 午夜a级毛片| 晚上一个人看的免费电影| 91aial.com中文字幕在线观看| 99热6这里只有精品| 久久精品人妻少妇| 免费在线观看成人毛片| 亚洲成人精品中文字幕电影| 国产v大片淫在线免费观看| 成人三级黄色视频| 老司机福利观看| 少妇被粗大猛烈的视频| 国产精品久久电影中文字幕| 久久久成人免费电影| 国产精品永久免费网站| 免费av毛片视频| 尤物成人国产欧美一区二区三区| 亚洲欧洲国产日韩| 国产乱人偷精品视频| 亚洲综合色惰| 乱码一卡2卡4卡精品| 国产精品,欧美在线| 尤物成人国产欧美一区二区三区| 日韩欧美三级三区| 精品国内亚洲2022精品成人| 成人特级av手机在线观看| 少妇的逼水好多| 欧美精品国产亚洲| 午夜视频国产福利| 免费大片18禁| 免费av观看视频| 国产私拍福利视频在线观看| 国产91av在线免费观看| 男人舔女人下体高潮全视频| 欧美xxxx性猛交bbbb| 国产白丝娇喘喷水9色精品| 男女视频在线观看网站免费| 熟女电影av网| 久久久色成人| 精品人妻偷拍中文字幕| 少妇熟女欧美另类| 哪个播放器可以免费观看大片| 亚洲欧美精品综合久久99| 婷婷色综合大香蕉| 国产av一区在线观看免费| 久久久久久久久大av| 观看免费一级毛片| av免费在线看不卡| 可以在线观看毛片的网站| 色综合站精品国产| 熟妇人妻久久中文字幕3abv| 亚洲久久久久久中文字幕| 亚洲欧美成人综合另类久久久 | 国产精品一区二区在线观看99 | 亚州av有码| 国产色婷婷99| 一级毛片电影观看 | 三级男女做爰猛烈吃奶摸视频| 亚洲精品久久国产高清桃花| 亚洲一区二区三区色噜噜| 简卡轻食公司| 日本五十路高清| 女人被狂操c到高潮| 日韩中字成人| 尤物成人国产欧美一区二区三区| 亚洲国产欧美在线一区| 日韩欧美在线乱码| 狠狠狠狠99中文字幕| 网址你懂的国产日韩在线| 中国美女看黄片| 亚洲中文字幕日韩| 亚洲欧美中文字幕日韩二区| 国产三级在线视频| 成人二区视频| 国产精品av视频在线免费观看| 中文在线观看免费www的网站| 亚洲18禁久久av| 天堂av国产一区二区熟女人妻| 国产精品一区二区三区四区久久| 在线国产一区二区在线| 国产精品女同一区二区软件| 亚洲经典国产精华液单| 亚洲最大成人手机在线| 国产精品久久久久久亚洲av鲁大| 亚洲欧美精品综合久久99| 草草在线视频免费看| 又黄又爽又刺激的免费视频.| 国产成人福利小说| 看黄色毛片网站| 我要看日韩黄色一级片| 成年版毛片免费区| 亚洲四区av| 国产一级毛片七仙女欲春2| 一本一本综合久久| 日本五十路高清| 国产视频内射| 国产一区二区在线观看日韩| 久久久a久久爽久久v久久| 国产精品人妻久久久影院| 日韩一区二区视频免费看| 深爱激情五月婷婷| 亚洲精品久久国产高清桃花| 九九在线视频观看精品| 国产精品嫩草影院av在线观看| ponron亚洲| 99热这里只有是精品在线观看| 国产一区二区在线观看日韩| 亚洲人成网站高清观看| 中文字幕熟女人妻在线| 岛国毛片在线播放| 日本欧美国产在线视频| 久久99精品国语久久久| 别揉我奶头 嗯啊视频| 国产高清视频在线观看网站| 亚洲欧美成人精品一区二区| 毛片一级片免费看久久久久| 边亲边吃奶的免费视频| 女人被狂操c到高潮| 菩萨蛮人人尽说江南好唐韦庄 | 亚洲精华国产精华液的使用体验 | 午夜福利在线观看免费完整高清在 | 岛国毛片在线播放| 亚洲av免费高清在线观看| 神马国产精品三级电影在线观看| 亚洲人成网站在线播| 国产一区亚洲一区在线观看| 日日摸夜夜添夜夜添av毛片| 色播亚洲综合网| 天堂中文最新版在线下载 | 成人永久免费在线观看视频| 中国美女看黄片| 欧美精品一区二区大全| 如何舔出高潮| 国产高清视频在线观看网站| av在线亚洲专区| 亚洲精品影视一区二区三区av| 三级国产精品欧美在线观看| 久久精品久久久久久久性| 婷婷六月久久综合丁香| 国产av麻豆久久久久久久| 一个人免费在线观看电影| 国产老妇女一区| 亚洲人与动物交配视频| 日韩精品有码人妻一区| 成人欧美大片| 成人漫画全彩无遮挡| 亚洲av二区三区四区| 在线免费十八禁| 日本色播在线视频| 亚洲av成人精品一区久久| 狂野欧美激情性xxxx在线观看| 伦理电影大哥的女人| 欧美色视频一区免费| 亚洲乱码一区二区免费版| 亚洲不卡免费看| 麻豆国产97在线/欧美| 日韩国内少妇激情av| 美女cb高潮喷水在线观看| 2022亚洲国产成人精品| 99久久人妻综合| 国产精品日韩av在线免费观看| 久久久久国产网址| 好男人在线观看高清免费视频| 黄片无遮挡物在线观看| 国产高清三级在线| 综合色丁香网| 亚洲国产高清在线一区二区三| 麻豆乱淫一区二区| 高清日韩中文字幕在线| 日韩在线高清观看一区二区三区| 亚洲婷婷狠狠爱综合网| 男人舔奶头视频| 别揉我奶头 嗯啊视频| 久久久久久国产a免费观看| 色综合色国产| 国产美女午夜福利| 男女做爰动态图高潮gif福利片| 日韩大尺度精品在线看网址| а√天堂www在线а√下载| 日本黄大片高清| 嘟嘟电影网在线观看| 国产高清视频在线观看网站| 欧美激情国产日韩精品一区| 一本一本综合久久| www日本黄色视频网| 联通29元200g的流量卡| 欧美激情在线99| 国产免费一级a男人的天堂| 极品教师在线视频| 变态另类丝袜制服| 成年版毛片免费区| 亚洲人与动物交配视频| 菩萨蛮人人尽说江南好唐韦庄 | 黄色一级大片看看| 亚洲欧美中文字幕日韩二区| 少妇丰满av| 可以在线观看毛片的网站| 日韩av在线大香蕉| 一进一出抽搐gif免费好疼| 校园春色视频在线观看| 欧美一区二区国产精品久久精品| 欧美最新免费一区二区三区| 国产中年淑女户外野战色| 久久这里只有精品中国| 97超碰精品成人国产| 一本久久中文字幕| 久久国产乱子免费精品| 成人一区二区视频在线观看| 一个人观看的视频www高清免费观看| 22中文网久久字幕| 在线播放国产精品三级| 中国国产av一级| av.在线天堂| 成人二区视频| 九色成人免费人妻av| 免费无遮挡裸体视频| a级一级毛片免费在线观看| 激情 狠狠 欧美| 熟女电影av网| 91精品国产九色| 国产精品三级大全| 免费av不卡在线播放| 久久精品国产亚洲网站| 深夜精品福利| 99久久九九国产精品国产免费| 久久精品夜色国产| 免费电影在线观看免费观看| 国产伦一二天堂av在线观看| 狠狠狠狠99中文字幕| 亚洲成a人片在线一区二区| 亚洲av第一区精品v没综合| 国产高潮美女av| 日本在线视频免费播放| 日韩强制内射视频| 又黄又爽又刺激的免费视频.| 免费看美女性在线毛片视频| 寂寞人妻少妇视频99o| 亚洲久久久久久中文字幕| 久久久精品欧美日韩精品| 天堂中文最新版在线下载 | 精品不卡国产一区二区三区| 欧美xxxx性猛交bbbb| 国产真实伦视频高清在线观看| 99九九线精品视频在线观看视频| 精品熟女少妇av免费看| 午夜精品国产一区二区电影 | 欧美成人免费av一区二区三区| 久久精品综合一区二区三区| 国产亚洲精品久久久久久毛片| 国产精品久久久久久久久免| 亚洲欧洲日产国产| 久久精品久久久久久噜噜老黄 | 国产视频内射| 亚洲18禁久久av| 网址你懂的国产日韩在线| 夜夜夜夜夜久久久久| 亚洲内射少妇av| 美女脱内裤让男人舔精品视频 | 此物有八面人人有两片| 亚洲人成网站高清观看| 一个人观看的视频www高清免费观看| 午夜福利在线在线| 国产美女午夜福利| 99久久九九国产精品国产免费| 午夜激情欧美在线| 国产一区亚洲一区在线观看| 国产黄片美女视频| 成人二区视频| 91久久精品国产一区二区三区|