[Analysis of clinical and pathological features of chronic hepatitis B combined with metabolic-associated fatty liver disease].

Objective: To analyze the clinical and histopathological features of patients with chronic hepatitis B (CHB) combined with metabolic-associated fatty liver disease (MAFLD). Methods: Clinical data of 529 cases who had liver biopsies at the First Affiliated Hospital of Zhengzhou University between January 2015 and October 2021 were collected. Among them were 290 cases with CHB, 155 cases with CHB combined with MAFLD, and 84 cases with MAFLD. Three groups of patients clinical data, including general information, biochemical indicators, FibroScan indicators, viral load, and histopathology, were analyzed. A binary logistic regression analysis was used to explore the factors influencing MAFLD in patients with CHB. Results: (1) Age, male status, proportion of hypertension and diabetes, body mass index, fasting blood glucose, γ-glutamyl transpeptidase, low-density lipoprotein, cholesterol, triglycerides, uric acid, creatinine, and the controlled attenuation parameter for hepatic steatosis were higher in CHB combined with MAFLD than in CHB patient groups. In contrast, the high-density lipoprotein, HBeAg positivity rate, viral load level, and liver fibrosis grade (S stage) were lower in CHB patients, and the differences were statistically significant (P < 0.05). (2) Alanine aminotransferase, aspartate aminotransferase, γ-glutamyl transpeptidase, triglycerides, uric acid, creatinine, and the controlled attenuation parameter for hepatic steatosis in CHB combined with the MAFLD were lower than those in MAFLD patient groups, while high-density lipoprotein was higher than that of MAFLD patients, and the difference was statistically significant (P < 0.05). There was no statistically significant difference in the grade of liver inflammation and fibrosis (GS stage) between the two groups (P > 0.05). Binary multivariate logistic regression analysis showed that overweight/obesity, triglycerides, low-density lipoprotein, the controlled attenuation parameter for hepatic steatosis, and HBeAg positivity were independent influencing factors for MAFLD in CHB patients. Conclusion: Patients with CHB combined with metabolic disorders are prone to developing MAFLD, and there is a certain correlation between HBV viral factors, the degree of liver fibrosis, and the fatty degeneration of hepatocytes.

[Clinical features of IgG4-related lung disease].

Objective: To explore the clinical features of IgG4-related lung disease. Methods: The clinical data of 60 patients diagnosed with IgG4-related lung disease in Peking University People's Hospital from February 2012 to May 2021 were retrospectively collected. Analysis was made to explore the features of clinical manifestation, laboratory, imaging, prognosis and other characteristics of the disease. Results: A total of 60 patients were included, with 40 males, age of (58.2±12.9) years, an age of onset of (57.1±13.2) years, and 31.7% (19 cases) of the patients had a history of allergic disease. 36.7% (22 cases) of the patients had respiratory symptoms during the disease. 94.6% (53/56) of patients had serum IgG4>1.35 g/L, 24.1% (14/58) of patients had increased eosinophils, 79.2% (38/48) of patients had increased IgE level, and 53.7% (29/54) of patients had decreased C3 or C4. Common imaging findings included nodular changes (38 cases, 63.3%), mediastinal and/or hilar lymphadenopathy (34 cases, 56.7%), and ground glass opacities (31 cases, 51.7%). Fifty-three cases (88.3%) showed two or more imaging changes. The pathological examination of the patient was mainly characterized by lymphoplasmacytic infiltration and fibrosis, with only one case of phlebitis obliterans. Compared with the asymptomatic group (38 cases), patients with respiratory symptoms (22 cases) showed higher level of serum total IgG and eosinophils (43.2 vs 17.8 g/L, 0.30×109/L vs 0.14×109/L, P<0.05), lower proportion of allergic diseases, and higher proportion of consolidation shadows on chest CT (P<0.05). There were no significant differences in serum IgG4, IgE, complement levels, and imaging outcomes after treatment between the two groups (P>0.05). Conclusions: The clinical manifestations of IgG4-related lung disease are atypical, and asymptomatic patients account for a high proportion. The imaging of the disease is highly heterogeneous, and patients are prone to show coexisted multiple imaging changes. The main clinical features and imaging outcomes of patients with and without respiratory symptoms are not significantly different.

[The value of machine learning models based on biparametric MRI for diagnosis of prostate cancer and clinically significant prostate cancer].

Objective: To evaluate the value of machine learning (ML) models based on biparametric magnetic resonance imaging (bpMRI) for diagnosis of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). Methods: A total of 1 368 patients, aged from 30 to 92 (69.4±8.2) years, from 3 tertiary medical centers in Jiangsu Province were retrospectively collected from May 2015 to December 2020, including 412 cases of csPCa, 242 cases of clinically insignificant prostate cancer (ciPCa) and 714 cases of benign prostate lesions. The data of center 1 and center 2 were randomly divided into training cohort and internal testing cohort at a ratio of 7∶3 by random number sampling without replacement using Python Random package, and the data of center 3 were used as the independent external testing cohort. The training cohort includs 243 cases of csPCa, 135 cases of ciPCa and 384 cases of benign lesions, the internal testing cohort includs 104 cases of csPCa, 58 cases of ciPCa and 165 cases of benign lesions, and the external testing cohort includs 65 cases of csPCa, 49 cases of ciPCa and 165 cases of benign lesions. The radiomics features were extracted on T2-weighted imaging, diffusion-weighted imaging and apparent diffusion coefficient map, and optimal radiomics features were selected by using Pearson correlation coefficient method and analysis of variance. The ML models were built using two ML algorithms, including support vector machine and random forest (RF) and were further tested in the internal testing cohort and external testing cohort. Finally, the PI-RADS scores evaluated by the radiologists were adjusted by the ML models which had superior diagnostic performance, namely adjusted PI-RADS. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the ML models and PI-RADS. DeLong test was used to compare the areas under curve (AUC) of models with those of PI-RADS. Results: For PCa diagnosis, in internal testing cohort, the AUC of ML model using RF algorithm and PI-RADS were 0.869 (95%CI: 0.830-0.908) and 0.874 (95%CI: 0.836-0.913), respectively, and the difference between the model and PI-RADS did not reach to the statistical significance (P=0.793). In the external testing cohort, the AUC of model and PI-RADS were 0.845 (95%CI: 0.794-0.897) and 0.915 (95%CI: 0.880-0.951), respectively, and the difference was statistically significant (P=0.01). For csPCa diagnosis, the AUC of ML model using RF algorithm and PI-RADS were 0.874 (95%CI: 0.834-0.914) and 0.892 (95%CI: 0.857-0.927), respectively, in internal testing cohort, and the difference between the model and PI-RADS was not statistically significant (P=0.341). In the external testing cohort, the AUC of model and PI-RADS were 0.876 (95%CI: 0.831-0.920) and 0.884 (95%CI: 0.841-0.926), respectively, and the difference between the model and PI-RADS was not statistically significant (P=0.704). When PI-RADS assessment was adjusted with the assistance of ML models, the specificities increased from 63.0% to 80.0% in the internal testing cohort and from 92.7% to 93.3% in the external test group in diagnosing PCa. In diagnosing csPCa, the specificities increased from 52.5% to 72.6% in the internal testing cohort and from 75.2% to 79.9% in the external testing cohort. Conclusions: The ML models based on bpMRI showed comparable diagnostic performance to PI-RADS assessed by senior radiologists and achieved good generalization ability in both diagnosing PCa and csPCa. The specificities of the PI-RADS were improved by ML models.

[The comparison of modified ESUR score and Mehralivand grade based on biparametric MRI for assessing extracapsulare extension in prostate cancer].

Objective: To compare the value of the modified European Society of Urogenital Radiology (ESUR) score and Mehralivand grade based on biparametric MRI (bpMRI) in the assessment of extracapsular extension (ECE) in patients with prostate cancer (PCa). Methods: Data of 235 patients with postoperative pathology confirmed PCa, who underwent preoperative 3.0 T bpMRI examinations between March 2019 and March 2022 in the First Affiliated Hospital of Soochow University were retrospectively evaluated, including 107 ECE positive and 128 ECE negative cases, aged [M (Q1, Q3)] [71 (66, 75)] years. Reader 1 and 2 assessed the ECE using the modified ESUR score and Mehralivand grade, and the receiver operating characteristic curve and Delong test were used to evaluate the performance of the two scoring methods. Then, the statistically significant variables were included in multivariate binary logistics regression analysis to obtain the risk factors, which were combined with the scores of reader 1 to establish combined models. The assessment ability of the two combined models and the two scoring methods were compared subsequently. Results: The AUC of Mehralivand grade in reader 1 were higher than that of the modified ESUR score in reader 1 and 2 [0.746 (95%CI: 0.685-0.800) vs 0.696 (95%CI: 0.633-0.754) and 0.691 (95%CI: 0.627-0.749), both P<0.05]. The AUC of Mehralivand grade in reader 2 was higher than that of the modified ESUR score in reader 1 and 2 [0.753 (95%CI: 0.693-0.807) vs 0.696 (95%CI: 0.633-0.754) and 0.691 (95%CI: 0.627-0.749), both P<0.05]. The AUC of the combined model 1 based on the modified ESUR score and the combined model 2 based on Mehralivand grade were higher than that in the separate modified ESUR score [0.826 (95%CI: 0.773-0.879) and 0.841 (95%CI: 0.790-0.892) vs 0.696 (95%CI: 0.633-0.754), both P<0.001], and also higher than that in the separate Mehralivand grade [0.826 (95%CI: 0.773-0.879) and 0.841 (95%CI: 0.790-0.892) vs 0.746 (95%CI: 0.685-0.800), both P<0.05]. Conclusion: Based on bpMRI, the Mehralivand grade showed better diagnostic performance for assessing ECE preoperatively in patients with PCa than the modified ESUR score. The combination model of scoring methods and clinical variables can further enhance the diagnostic certainty in the assessment of ECE.

[Clinical features and predictors of early neurological deterioration in acute isolated pontine infarction].

Objective: To investigate the clinical and imaging characteristics of early neurological deterioration (END) in acute isolated pontine infarction (AIPI) and analyze the predictive factors of END. Methods: Patients with AIPI who were confirmed by magnetic resonance imaging (MRI) in Zhengzhou University People's Hospital from January 2020 to December 2021were collected and divided into END group and non-END group (NEND group). General data and imaging characteristics of the patients were compared between the two groups, the neurological function of patients was evaluated by using the modified Rankin scale (mRS) at 1 and 3 months after stroke. Multivariate binary logistic regression model was used to analyze the risk factors of END after isolated pontine infarction, and the receiver operating characteristic curve(ROC) curve was drawn. Z-test was used to compare the area under the curve to determine the best predictor of END. Results: A total of 113 patients with AIPI were enrolled, including 72 males and 41 females, aged (62±11) years, with 40 cases in the END group and 73 cases in the NEND group. The incidence of END in AIPI was 35.4% (40/113). The National Institutes of Health Stroke Scale (NIHSS) score in the END group (5.15±1.88) was higher than that in the NEND group (4.10±1.63), and the infarcts size in the END group [(2.15±0.39) mm2] was larger than that in the NEND group [(1.61±0.46) mm2] (P=0.002 and P<0.001, respectively). Multivariate binary logistic regression analysis showed that NIHSS score on admission (OR=1.393, 95%CI: 1.017-1.909, P=0.039), infarct size (OR=11.539, 95%CI: 3.574-37.255, P<0.001) were associated with END. Comparing the area of ROC curve, infarct size [area under curve (AUC)=0.787, with a sensitivity of 0.750 and specificity of 0.545] and NIHSS score on admission (AUC=0.688, with a sensitivity of 0.700 and specificity of 0.589) showed no significant difference in the value of predicting END (P=0.056). Conclusion: Patients with AIPI had higher NIHSS score and larger infarct size on admission, and both of them exhibit good predictive performance for END.

Strong band renormalization and emergent ferromagnetism induced by electron-antiferromagnetic-magnon coupling.

The interactions between electrons and antiferromagnetic magnons (AFMMs) are important for a large class of correlated materials. For example, they are the most plausible pairing glues in high-temperature superconductors, such as cuprates and iron-based superconductors. However, unlike electron-phonon interactions (EPIs), clear-cut observations regarding how electron-AFMM interactions (EAIs) affect the band structure are still lacking. Consequently, critical information on the EAIs, such as its strength and doping dependence, remains elusive. Here we directly observe that EAIs induce a kink structure in the band dispersion of Ba1-xKxMn2As2, and subsequently unveil several key characteristics of EAIs. We found that the coupling constant of EAIs can be as large as 5.4, and it shows strong doping dependence and temperature dependence, all in stark contrast to the behaviors of EPIs. The colossal renormalization of electron bands by EAIs enhances the density of states at Fermi energy, which is likely driving the emergent ferromagnetic state in Ba1-xKxMn2As2 through a Stoner-like mechanism with mixed itinerant-local character. Our results expand the current knowledge of EAIs, which may facilitate the further understanding of many correlated materials where EAIs play a critical role.

Development of an adenosquamous carcinoma histo pathology-selective lung metastasis model.

Preclinical tumor models with native tissue microenvironments provide essential tools to understand how heterogeneous tumor phenotypes relate to drug response. Here, we present syngeneic graft models of aggressive, metastasis-prone histopathology-specific NSCLC tumor types driven by KRAS mutation and loss of LKB1 (KL): adenosquamous carcinoma (ASC) and adenocarcinoma (AC). We show that subcutaneous injection of primary KL-ASC cells results in squamous cell carcinoma (SCC) tumors with high levels of stromal infiltrates, lacking the source heterogeneous histotype. Despite forming subcutaneous tumors, intravenously injected KL-AC cells were unable to form lung tumors. In contrast, intravenous injection of KL-ASC cells leads to their lung re-colonization and lesions recapitulating the mixed AC and SCC histopathology, tumor immune suppressive microenvironment and oncogenic signaling profile of source tumors, demonstrating histopathology-selective phenotypic dominance over genetic drivers. Pan-ERBB inhibition increased survival, while selective ERBB1/EGFR inhibition did not, suggesting a role of ERBB network crosstalk in resistance to ERBB1/EGFR. This immunocompetent NSCLC lung colonization model hence phenocopies key properties of the metastasis-prone ASC histopathology, and serves as a preclinical model to dissect therapy responses and metastasis-associated processes.

Semen parameters and sex hormones as affected by SARS-CoV-2 infection: A systematic review.

BACKGROUND: Impaired semen quality and reproductive hormone levels were observed in patients during and after recovery from coronavirus disease 2019 (COVID-19), which raised concerns about negative effects on male fertility. Therefore, this study systematically reviews available data on semen parameters and sex hormones in patients with COVID-19. METHODS: Systematic search was performed on PubMed and Google Scholar until July 18th, 2022. We identified relevant articles that discussed the effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on male fertility. RESULTS: A total number of 1,684 articles were identified by using a suitable keyword search strategy. After screening, 26 articles were considered eligible for inclusion in this study. These articles included a total of 1,960 controls and 2,106 patients. When all studies were considered, the results showed that the semen parameters and sex hormone levels of patients infected with SARS-CoV-2 exhibited some significant differences compared with controls. Fortunately, these differences gradually disappear as patients recover from COVID-19. CONCLUSION: While present data show the negative effects of SARS-CoV-2 infection on male fertility, this does not appear to be long-term. Semen quality and hormone levels will gradually increase to normal as patients recover.

A bibliometric analysis for relapsed/refractory Non-Hodgkin lymphoma.

OBJECTIVE: This study aimed to analyze the current research status and trends of publications on relapsed/refractory Non-Hodgkin lymphoma (r/r NHL) using CiteSpace software and to know which centers and authors we should follow in the first place while doing research on r/r NHL. MATERIALS AND METHODS: The publications were retrieved from the Web of Science Core collection database, and CiteSpace (5.5.R5) software was used to analyze the authors, institutions, countries, and keywords. RESULTS: A total of 567 publications from 2009 to 2021 were retrieved, and the most fertile authors, institutions, nationalities and keywords in the field of r/r NHL were identified. Pier Luigi Zinzani team, Kensei Tobinai team, Andre Goy team, and Julie M. Vose team are recognized the main research teams in this field. USA makes the greatest contribution having research funds for r/r NHL. Key cluster areas of research include mantle cell lymphoma, pathway, lymphoma, relapse, pixantrone, Non-Hodgkin lymphoma, romidepsin, relapsed, T-cell lymphoma, and activated T cells. According to the keywords' timeline, the research trends of r/r NHL changed from bone marrow transplantation, radioimmunotherapy, chemotherapy to novel target drugs (like ibritumomab tiuxetan, inhibitor) and criteria EBM. CONCLUSIONS: The bibliometric study provides insights into hotspots and trends in the field of r/r NHL in the past 12 years. It serves us to extract useful information from complex data and provide information for clinicians and researchers.

[Analysis of the diagnostic efficiency of combining multiple laboratory hematological indicators in alpha-fetoprotein-negative hepatocellular carcinoma].

Objective: To establish a diagnostic model for alpha-fetoprotein-negative hepatocellular carcinoma (AFP-NHCC) by combining multiple laboratory hematological indicators and explore its clinical diagnostic efficiency. Methods: A total of 124 inpatients, including 110 males and 14 females, aged 57 (51, 66) years, who were first diagnosed with AFP-NHCC in the PLA General Hospital were included from December 2011 to June 2017. Meanwhile, 331 cases of non-HCC were enrolled as the control group, including 279 males and 52 females, aged 58 (51, 63) years old, with 47 cases of hepatitis B virus (HBV) infection, 40 cases of liver cirrhosis, 64 cases of hepatic hemangioma or cysts, 7 cases of liver nodules, 8 cases of fatty liver, 146 cases of non-liver disease and 19 health controls. Subjects in the AFP-NHCC group and the control group were divided into a training group and a validation group. A total of 196 subjects were involved in the training group, including 103 AFP-NHCC patients and 93 non-HCC patients (19 healthy controls, 25 patients with HBV infection, 22 patients with liver cirrhosis, 23 patients with hepatic hemangioma or cyst, and 4 patients with liver nodules). The differences in laboratory parameters were analyzed, and a diagnostic model of AFP-NHCC under different AFP levels was established. Likewise, 259 subjects, including 113 patients with liver disease, were involved in the validation group to verify the diagnostic efficiency of the model for AFP-NHCC. The receiver operating characteristic (ROC) curve was used to analyze the sensitivity and specificity of different models, and the area under the curve (AUC) was calculated to evaluate the diagnostic performance of different models. Results: In the training group, the indicators of AFP-NHCC diagnostic model included platelet (PLT), prothrombin activity (PTA), serum albumin (ALB), prothrombin time (PT) and carbohydrate antigen 19-9 (CA19-9), and the AUC of the model was 0.848 (95%CI: 0.786-0.911) when AFP≤5 µg/L. Similarly, the indicators of AFP-NHCC diagnostic model included PLT, PTA, ALB, PT and hematocrit (HCT), and the AUC of the model was 0.839 (95%CI: 0.780-0.897) when AFP≤10 µg/L. When AFP≤20 µg/L, the indicators of AFP-NHCC diagnostic model contained PLT, PTA, ALB, PT, HCT and AFP, and the AUC of the model was 0.866 (95%CI: 0.815-0.917). The AUC values of these three models were higher than those of AFP and CA19-9 alone for the diagnosis of AFP-NHCC [0.634 (95%CI: 0.560-0.709), 0.691 (95%CI:0.620-0.761), all P<0.05]. The indicators screened by these three models were combined to establish the final diagnostic model, and the AUC of the model was 0.873 (95%CI: 0.824-0.923), with the sensitivity of 78.6% (81/103) and the specificity of 81.7% (76/93). In the validation group, the predictive AUC of the final model in liver disease patients was 0.892 (95%CI: 0.832-0.951), with the sensitivity of 100% (21/21) and the specificity of 71.7% (66/92), while in the total validation population, the predictive AUC was 0.931 (95%CI: 0.890-0.972), with the sensitivity of 100.0% (21/21) and the specificity of 75.6% (180/238). Conclusion: The final diagnostic model includes PLT, PTA, ALB, PT, HCT, CA19-9 and AFP, which has higher sensitivity and specificity, and has good diagnostic efficiency for the clinical diagnosis of AFP-NHCC.

Circulating exosomal miRNAs and cancer early diagnosis

Microribonucleic acids (miRNAs) are small non-coding ribonucleic acids (ncRNAs), which can affect recognition of homologous sequences and interfere with transcription. It plays key roles in the initiation, development, resistance, metastasis or recurrence of cancers. Identifying circulatory indicators will positively improve the prognosis and quality of life of patients with early cancer. Previous studies have shown that miRNA is highly involved in cancer. In addition, miRNA derived from cancers can be encapsulated as exosomes and further extracted into circulatory systems to realize malignant functions. It indicates that circulating exosome-derived miRNAs have the potential to replace conventional biomarkers as cancer derived exosomes carrying miRNAs can be identified by specific markers and might be more stable and accurate for early diagnosis.

Circulating exosomal miRNAs and cancer early diagnosis.

Microribonucleic acids (miRNAs) are small non-coding ribonucleic acids (ncRNAs), which can affect recognition of homologous sequences and interfere with transcription. It plays key roles in the initiation, development, resistance, metastasis or recurrence of cancers. Identifying circulatory indicators will positively improve the prognosis and quality of life of patients with early cancer. Previous studies have shown that miRNA is highly involved in cancer. In addition, miRNA derived from cancers can be encapsulated as exosomes and further extracted into circulatory systems to realize malignant functions. It indicates that circulating exosome-derived miRNAs have the potential to replace conventional biomarkers as cancer derived exosomes carrying miRNAs can be identified by specific markers and might be more stable and accurate for early diagnosis.

Low dietary phosphorus impairs keel bone health and quality in laying hens.

1. Phosphorus (P) is a necessary nutrient for egg production and bone quality in poultry diets. To investigate the effects of low dietary available P (avP) on keel bone, 180 laying hens were fed either a control (C, 0.3% avP) or low phosphorus (LP, 0.15% avP) diet from 20-36 weeks of age (WOA). Each diet was replicated in six cages with 15 birds per cage. Keel samples were collected at 24, 28, 32, and 36 WOA to measure indicators.2. The incidence of keel bone damage in the LP group was higher than C group and increased with age throughout the experiment period. Keel bone length from laying hens in the LP group was shorter than C group (P < 0.05) at 32 and 36 WOA.3. The mRNA expression of receptor activator of nuclear factor kappa-B ligand (RANKL) and ratio of RANKL to osteoprotegerin (OPG) were upregulated (P < 0.05), and that of sclerostin and OPG was downregulated (P < 0.05) in the LP group in comparison to hens in the C group. Meanwhile, mRNA expression of the integrin-binding sialoprotein was increased at 24 and 28 WOA (P < 0.05), and decreased at 32 and 38 WOA (P < 0.05) in the LP group.4. Laying hens in LP group had increased trabecular separation and bone surface fraction (P < 0.05), decreased bone volume, bone volume fraction, trabecular number and thickness, and bone mineral density (P < 0.05) at 32 WOA. The LP-fed hens had increased K, Ti, Mn, Fe, Zn, Se, Sr and Pb bone concentrations (P < 0.05), and decreased P and TI bone concentrations (P < 0.05) at 36 WOA.5. Feeding hens a P-deficient diet with 0.15% avP and 3.37% Ca during the laying period impaired keel bone quality, which could be related to the osteoporosis.

Periodontitis Salivary Microbiota Worsens Colitis.

Evidence suggests that periodontitis contributes to the pathogenesis of inflammatory bowel disease, including Crohn's disease and ulcerative colitis. However, few studies have examined the role of swallowing and saliva in the pathogenesis of gastrointestinal diseases. Saliva contains an enormous number of oral bacteria and is swallowed directly into the intestine. Here, we explored the influence of periodontitis salivary microbiota on colonic inflammation and possible mechanisms in dextran sulfate sodium (DSS)-induced colitis. The salivary microbiota was collected from healthy individuals and those with periodontitis and gavaged to C57BL/6 mice. Periodontitis colitis was induced by DSS for 5 d and ligature for 1 wk. The degree of colon inflammation was evaluated through hematoxylin and eosin staining, ELISA, and quantitative real-time polymerase chain reaction. Immune parameters were measured with quantitative real-time polymerase chain reaction, flow cytometry, and immunofluorescence. The gut microbiota and metabolome analyses were performed via 16S rRNA gene sequencing and liquid chromatography-mass spectrometry. Although no significant colitis-associated phenotypic changes were found under physiologic conditions, periodontitis salivary microbiota exacerbated colitis in a periodontitis colitis model after DSS induction. The immune response more closely resembled the pathology of ulcerative colitis, including aggravated macrophage M2 polarization and Th2 cell induction (T helper 2). Inflammatory bowel disease-associated microbiota, such as Blautia, Helicobacter, and Ruminococcus, were changed in DSS-induced colitis after periodontitis salivary microbiota gavage. Periodontitis salivary microbiota decreased unsaturated fatty acid levels and increased arachidonic acid metabolism in DSS-induced colitis, which was positively correlated with Aerococcus and Ruminococcus, suggesting the key role of these metabolic events and microbes in the exacerbating effect of periodontitis salivary microbiota on experimental colitis. Our study demonstrated that periodontitis contributes to the pathogenesis of colitis through the swallowing of salivary microbiota, confirming the role of periodontitis in systemic disease and providing new insights into the etiology of gastrointestinal inflammatory diseases.

[Association of high-density lipoprotein cholesterol with risk of cardiovascular disease mortality].

Objective: To analyze the association between high density lipoprotein cholesterol (HDL-C) and the risk of cardiovascular disease mortality. Methods: A total of 71 618 residents aged over 18 years with complete baseline data, who were filed on the health information big data platform of Yinzhou district, Ningbo city, Zhejiang Province from 2009 to 2014, were selected as the research population. The research population were divided into four groups according to the level of HDL-C: low-level group (HDL-C<1.0 mmol/L), intermediate-level group (1.0 mmol/L≤HDL-C<1.5 mmol/L), medium-high-level group (1.5 mmol/L≤HDL-C<2.0 mmol/L) and high-level group (HDL-C≥2.0 mmol/L). Cox proportional hazard model was used to calculate the risk ratio of cardiovascular diseases mortality in different groups. Results: The study population was followed up for a total of 427 989.4 person-years, follow-up time of (5.98±1.04)years. During the follow-up period, there were 799 deaths due to cardiovascular diseases. After adjusting for confounding factors, compared with the medium-high-level group as the reference group, the HR (95%CI) for cardiovascular diseases mortality was 1.43 (1.13-1.82) in the low-level group and 1.22 (1.02-1.46) in the high-level group. Conclusion: The low level of HDL-C (<1.5 mmol/L) is associated with a higher risk of cardiovascular disease deaths. The level of HDL-C can be used as a biological indicator to monitor the development of cardiovascular diseases and guide treatment.

Early social contact alters the community structure and functions of the faecal microbiome in suckling-growing piglets.

Social contact during suckling, in an enriched social environment, can reduce the aggressive behaviours of piglets during regrouping at weaning, and improve their production performance and welfare. The aim of this study was to determine the possible impact of suckling social contact on gut microbes. We performed 16S rRNA sequencing to measure the faecal microbial structure and function in piglets experiencing social contact. Eighteen-litter piglets were allocated to two treatments: an early continuous social contact (CSC) group where piglets from adjacent pens shared a mutual pen starting at 14 days postpartum and a control (CON) group where piglets had no contact with individuals from adjacent pens during the suckling period. The piglets were regrouped at 36 days of age. The litter weights at 35 and 63 days of age were measured. Faecal samples were randomly collected at 16, 35, 42, and 63 days of age and faecal DNA was determined. The results showed that the litter weight of piglets in the CSC group was significantly decreased at 63 days compared with the CON group. Continuous social contact also significantly decreased the microbial richness at 16 and 35 days of age (P < 0.05). Firmicutes was the most abundant bacterial phylum in both groups at all detected time-points and the abundance increased with social contact. At the genus level, Lactobacillus was the most abundant bacterium after weaning and the abundance increased in the piglets with social contact. Compared with the faecal microbiota of control piglets, a total of 22 genera at 16 days, 20 genera at 35 days, 12 genera at 42 days, and 27 genera at 63 days in the faeces of CSC piglets were observed to be significantly different in abundance (linear discriminant analysis score > 3, P < 0.05). Furthermore, functional analysis of the microbial composition showed that the changes induced by early CSC mainly altered the relative abundance of metabolic and related pathways. The social contact notably had an effect on the abundance of microbial pathways for amino acid and carbohydrate metabolism. In conclusion, CSC changed the microbial composition in the faeces of piglets, which might have a negative effect on nutrient metabolism for the suckling-growing piglets. Our study provided new insight into the influence of social contact on the suckling-growing piglets.

[High-fat diet promotes the impact of periodontitis on gut microbiota and glucose metabolism].

Objective: To study whether high-fat diet could aggravate the effect of periodontitis on gut microbiota and glucose metabolism. Methods: Twenty-four male SD rats were randomly and equally divided into four groups based on table of random numbers (n=6 in each group): control group, in which rats were given normal chow diet; periodontitis group, in which periodontitis was induced by ligating bilateral maxillary second molars with 5-0 silk thread; high-fat diet group, in which rats were given high-fat diet; high-fat diet+periodontitis group, in which rats were given high-fat diet and periodontitis was induced at the end of the 8th week. Fasting blood glucose and glucose tolerance were measured at the end of the 12th week. Then the rats were euthanized and the cecum content was collected. The microbial 16S rRNA gene sequencing was performed on the Illumina MiSeq platform. The taxonomy of the sequences was analyzed through RDP Classifier (http://rdp.cme.msu.edu/) against the SILVA (SSU123) 16S rRNA database. Pearson correlation analysis was performed to analyze the correlation between changes in gut microbiota and blood glucose. Results: After 4 weeks of periodontitis induction, the fasting blood glucose levels of the periodontitis group and the high-fat diet group were (4.93±0.28) and (5.25±0.24) mmol/L, respectively, which were significantly higher than that of the control group [(4.56±0.20) mmol/L] (P<0.05) with glucose intolerance. The fasting blood glucose level of high-fat diet+periodontitis group [(5.53±0.14) mmol/L] was significantly higher than that of periodontitis group and high-fat diet group, respectively (P<0.05), with the glucose tolerance curve higher than that of periodontitis group. The 16S rRNA gene analysis revealed that the Bacteroides/Firmicutes ratio in the periodontitis group is (0.37±0.23), which was significantly lower than that of the control group (0.68±0.05) (P<0.05). The relative abundance of Lachnospiraceae_NK4A136_group in the periodontitis group was (14.03±6.38)%, which was significantly lower than that of the control group [(28.21±4.82)%] (P<0.05). The relative abundance of Allobaculum [(4.27±2.67)%], Ruminococcaceae_UCG_005 [(3.70±0.90)%], Blautia [(0.63±0.45)%] in the periodontitis group were significantly higher than those of the control group [(0.60±0.72) %, (0.43±0.16) %, (0.13±0.13) %, respectively](P<0.05). Compared with periodontitis group, the relative abundance of Proteobacteria in high-fat diet+periodontitis group [(3.06±0.90)%] was significantly higher than that of the periodontitis group [(1.40±0.98)%] (P<0.05). The principal coordinate analysis and similarity analysis based on the Bray-Curtis distance showed that samples of the high-fat diet+periodontitis group clustered separately from the periodontitis group and the high-fat diet group. The results of correlation analysis showed that the abundance of Lachnospiraceae_NK4A136_group was negatively correlated with fasting blood glucose and glucose levels after loading for 60 and 120 minutes (r=-0.56, -0.50, -0.42, respectively) (P<0.05). The abundance of Allobaculum, [Eubacterium]_coprostanoligenes_group, Peptococcaceae_uncultured, [Ruminococcus]_torques_group, and several genera belonging to the Proteobacteria were positively correlated with glucose levels after loading for 120 minutes (P<0.05). Conclusions: Periodontitis might be closely related to impaired gut microbiota and glucose metabolism, and the effect could be aggravated by high-fat diet.

[The prevalence of allergic conjunctivitis based on outpatients in Baotou area].

Objective: To explore the prevalence and influencing factors of allergic conjunctivitis in Baotou area at different times. Methods: A cross-sectional study was conducted in January 2021, 111 patients with allergic conjunctivitis who were admitted to the Department of Ophthalmology, the Second Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology in 2020 were selected as the research subjects. The basic information, allergic conditions, living habits and other information of the patients were obtained by self-made questionnaire. The pollen concentration and allergy related indicators(allergic duration and frequency, eye itching score, eye burn score, eye foreign body sensation score, tears score and the total scores) of 2019 and 2020 were analyzed by paired sample t-test. The pollen concentration of 2019 and 2020 were analyzed by Wilcoxon signed rank test. The allergy related indicators of different genders were analyzed by independent sample t-test. The allergy related indicators of different ages were analyzed by one-way analysis of variance. The relationship between the length of wearing masks and the allergy related indicators were analyzed by Spearman correlation analysis. Results: Among the 111 patients with allergic conjunctivitis, 54 were males and 57 were females, ranging in age from 8 to 69 years old, with a median age of 35 years old and an average age of (36.77±13.18) years old. The average pollen concentration in Baotou in 2019 was (125.35±222.64) grains/1 000 square millimeter, and the average pollen concentration in Baotou in 2020 was (107.38±137.29) grains/1 000 square millimeter. There was no significant difference in pollen concentration between the two years(Z=-0.178, P=0.859). The severity of allergic indicators in all patients in 2020 is significantly lower than in 2019(t values were 4.701,3.587,2.582,3.661,4.444,2.784,2.555,3.886,respectively, with P<0.05). The severity of allergic indicators in male patients is lower than that of female patients (t values were -1.558, -1.257, -3.41, -3.085, -2.335, -2.897, -2.652, -4.124, respectively). The prevalence of allergic conjunctivitis dose not vary significant with age (P values were 0.504, 0.095, 0.499, 0.265, 0.284, 0.655, 0.421, 0.976, respectively). In 2020, the average time that patients wear masks is (6.55±3.28) h/d, and there is a correlation with the difference in allergy duration (r=0.191, P=0.045). Conclusion: The severity of allergic conjunctivitis in Baotou in 2020 was significantly improved compared with that in 2019, which may be related to masks wearing.

Gut Microbiota May Mediate the Influence of Periodontitis on Prediabetes.

Mounting evidence has shown that periodontitis is associated with diabetes. However, a causal relationship remains to be determined. Recent studies reported that periodontitis may be associated with gut microbiota, which plays an important role in the development of diabetes. Therefore, we hypothesized that gut microbiota might mediate the link between periodontitis and diabetes. Periodontitis was induced by ligatures. Glycemic homeostasis was evaluated through fasting blood glucose (FBG), serum glycosylated hemoglobin (HbA1c), and intraperitoneal glucose tolerance test. Micro-computed tomography and hematoxylin and eosin staining were used to evaluate periodontal destruction. The gut microbiota was analyzed using 16S ribosomal RNA gene sequencing and bioinformatics. Serum endotoxin, interleukin (IL) 6, tumor necrosis factor α (TNF-α), and IL-1ß were measured to evaluate the systemic inflammation burden. We found that the levels of FBG, HbA1c, and glucose intolerance were higher in the periodontitis (PD) group than in the control (Con) group (P < 0.05). When periodontitis was eliminated, the FBG significantly decreased (P < 0.05). Several butyrate-producing bacteria were decreased in the gut microbiota of the PD group, including Lachnospiraceae_NK4A136_group, Eubacterium_fissicatena_group, Eubacterium_coprostanoligenes_group, and Ruminococcaceae_UCG-014 (P < 0.05), which were negatively correlated with serum HbA1c (P < 0.05). Subsequently, the gut microbiota was depleted using antibiotics or transplanted through cohousing. Compared with the PD group, the levels of HbA1c and glucose intolerance were decreased in the gut microbiota-depleted mice with periodontitis (PD + Abx) (P < 0.05), as well as the serum levels of endotoxin and IL-6 (P < 0.05). The serum levels of IL-6, TNF-α, and IL-1ß in the PD + Abx group were higher than those of the Con group (P < 0.05). Antibiotics exerted a limited impact on the periodontal microbiota. When the PD mice were cohoused with healthy ones, the elevated FBG and HbA1c significantly recovered (P < 0.05), as well as the aforementioned butyrate producers (P < 0.05). Thus, within the limitations of this study, our data indicated that the gut microbiota may mediate the influence of periodontitis on prediabetes.