Ticagrelor alleviates pyroptosis of myocardial ischemia reperfusion-induced acute lung injury in rats: a preliminary study.

Pulmonary infection is highly prevalent in patients with acute myocardial infarction undergoing percutaneous coronary intervention. However, the potential mechanism is not well characterized. Myocardial ischemia-reperfusion injury (MIRI) induces acute lung injury (ALI) related to pulmonary infection and inflammation. Recent studies have shown that pyroptosis mediates ALI in several human respiratory diseases. It is not known whether MIRI induces pyroptosis in the lungs. Furthermore, ticagrelor is a clinically approved anti-platelet drug that reduces ALI and inhibits the expression levels of several pyroptosis-associated proteins, but the effects of ticagrelor on MIRI-induced ALI have not been reported. Therefore, we investigated whether ticagrelor alleviated ALI in the rat MIRI model, and its effects on pyroptosis in the lungs. Sprague-Dawley rats were randomly divided into four groups: control, MIRI, MIRI plus low ticagrelor (30 mg/kg), and MIRI plus high ticagrelor (100 mg/kg). Hematoxylin and Eosin (HE) staining was performed on the lung sections, and the HE scores were calculated to determine the extent of lung pathology. The wet-to-dry ratio of the lung tissues were also determined. The expression levels of pyroptosis-related proteins such as NLRP3, ASC, and Cleaved caspase-1 were estimated in the lung tissues using the western blot. ELISA was used to estimate the IL-1ß levels in the lungs. Immunohistochemistry was performed to determine the levels of MPO-positive neutrophils as well as the total NLRP3-positive and Cleaved caspase-1-positive areas in the lung tissues. The lung tissues from the MIRI group rats showed significantly higher HE score, wet-to-dry ratio, and the MPO-positive area compared to the control group, but these effects were attenuated by pre-treatment with ticagrelor. Furthermore, lung tissues of the MIRI group rats showed significantly higher expression levels of pyroptosis-associated proteins, including NLRP3 (2.1-fold, P < 0.05), ASC (3.0-fold, P < 0.01), and Cleaved caspase-1 (9.0-fold, P < 0.01). Pre-treatment with the high-dose of ticagrelor suppressed MIRI-induced upregulation of NLRP3 (0.46-fold, P < 0.05), ASC (0.64-fold, P < 0.01), and Cleaved caspase-1 (0.80-fold, P < 0.01). Immunohistochemistry results also confirmed that pre-treatment with ticagrelor suppressed MIRI-induced upregulation of pyroptosis in the lungs. In summary, our data demonstrated that MIRI induced ALI and upregulated pyroptosis in the rat lung tissues. Pre-treatment with ticagrelor attenuated these effects.

Fatty liver is associated with significant liver inflammation and increases the burden of advanced fibrosis in chronic HBV infection.

BACKGROUND: Concurrent non-alcoholic fatty liver disease (NAFLD) is common in patients with chronic HBV infection. But the impact of fatty liver on the histologic progression of HBV infection remains controversial. METHODS: Consecutive HBV-infected patients who underwent liver biopsy between 2016 and 2021 were included. Alcohol consumption and other types of viral hepatitis were excluded. All biopsies were scored for grading and staging by Scheuer's score, and the steatosis was scored as an estimate of the percentage of liver parenchyma replaced by fat. Logistic regression analyses were applied to assess the associated factors for significant liver inflammation (G ≥ 2), significant fibrosis (S ≥ 2) and advanced fibrosis (S ≥ 3). RESULTS: Among the 871 HBV-infected patients, hepatic steatosis was prevalent in 255 patients (29.28%). Significant liver inflammation was present in 461 patients (52.93%). Significant fibrosis was observed in 527 patients (60.51%), while advanced liver fibrosis was observed in 171 patients (19.63%). Patients with concomitant NAFLD were more likely to have significant liver inflammation and advanced fibrosis. Fatty liver was an independent risk factor for significant liver inflammation (OR: 2.117, 95% CI: 1.500-2.988), but it could not predict the development of fibrosis. Especially, in HBV-infected patients with persistent normal ALT (immune tolerant and inactive carrier phase), the presence of significant liver inflammation was higher in NAFLD than those without NAFLD. The prevalence of advanced liver fibrosis was higher in NAFLD than non-NAFLD only in the immune tolerant phase, while NAFLD did not increase fibrosis burden in other stages of HBV infection. We developed a predictive model for significant liver inflammation with the area under receiver operating characteristic curve (AUROC) of 0.825, and a model for significant fibrosis with the AUROC of 0.760. CONCLUSIONS: NAFLD is independently associated with significant liver inflammation, and increases the burden of advanced liver fibrosis in HBV-infected patients. The influence of NAFLD on the degree of liver inflammation and fibrosis is different in distinct clinical phases of chronic HBV infection.

Metabolic dysfunction is associated with steatosis but no other histologic features in nonalcoholic fatty liver disease.

BACKGROUND: Recently, nonalcoholic fatty liver disease (NAFLD) has been renamed metabolic-associated fatty liver disease (MAFLD). Based on the definition for MAFLD, a group of non-obese and metabolically healthy individuals with fatty liver are excluded from the newly proposed nomenclature. AIM: To analyze the histologic features in the MAFLD and non-MAFLD subgroups of NAFLD. METHODS: Eighty-three patients with biopsy-proven NAFLD were separated into MAFLD and non-MAFLD groups. The diagnosis of MAFLD was established as hepatic steatosis along with obesity/diabetes or evidence of metabolic dysfunction. The histologic features were compared according to different metabolic disorders and liver enzyme levels. RESULTS: MAFLD individuals had a higher NAFLD activity score (P = 0.002) and higher severity of hepatic steatosis (42.6% Grade 1, 42.6% Grade 2, and 14.8% Grade 3 in MAFLD; 81.8% Grade 1, 13.6% Grade 2, and 4.5% Grade 3 in non-MAFLD; P = 0.007) than the non-MAFLD group. Lobular and portal inflammation, hepatic ballooning, fibrosis grade, and the presence of nonalcoholic steatohepatitis (NASH) and significant fibrosis were comparable between the two groups. The higher the liver enzyme levels, the more severe the grades of hepatic steatosis (75.0% Grade 1 and 25.0% Grade 2 in normal liver function; 56.6% Grade 1, 39.6% Grade 2, and 3.8% Grade 3 in increased liver enzyme levels; 27.8% Grade 1, 27.8% Grade 2, and 44.4% Grade 3 in liver injury; P < 0.001). Patients with liver injury (alanine aminotransferase > 3 × upper limit of normal) presented a higher severity of hepatocellular ballooning (P = 0.021). Moreover, the grade of steatosis correlated significantly with hepatocellular ballooning degree (r = 0.338, P = 0.002) and the presence of NASH (r = 0.466, P < 0.001). CONCLUSION: Metabolic dysfunction is associated with hepatic steatosis but no other histologic features in NAFLD. Further research is needed to assess the dynamic histologic characteristics in NAFLD based on the presence or absence of metabolic disorders.

Association of Proton Pump Inhibitor and Infection and Major Adverse Clinical Events in Patients With ST-Elevation Myocardial Infarction: A Propensity Score Matching Analysis.

Background: Infections are not common but important in patients with acute myocardial infarction, and are associated with worse outcomes. Infection was proved to be associated with the use of proton pump inhibitor (PPI) in several cohorts. It remains unclear whether PPI usage affects infection in patients with acute myocardial infarction. Methods: We consecutively enrolled patients with ST-elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI) from January 2010 to June 2018. All patients were divided into the PPI group and non-PPI group according to whether the PPI was used. The primary endpoint was the development of infection during hospitalization. Results: A total of 3027 patients were finally enrolled, with a mean age of 62.2 ± 12.6 years. 310 (10.2%) patients were developed infection during hospitalization. Baseline characteristics were similar between the PPI and non-PPI groups (n = 584 for each group) after propensity score analysis. PPI usage was significantly associated with infection based on the propensity score matching analysis (adjusted OR = 1.62, 95% CI = 1.02-2.57, P = 0.041). Comparing to patients with non-PPI usage, PPI administration was positively associated with higher risk of in-hospital all-cause mortality (adjusted OR = 3.25, 95% CI = 1.06-9.97, P = 0.039) and in-hospital major adverse clinical events (adjusted OR = 3.71, 95% CI = 1.61-8.56, P = 0.002). Subgroup analysis demonstrated that the impact of PPI on infection was not significantly different among patients with or without diabetes and patients with age ≥65 years or age <65 years. Conclusion: PPI usage was related to a higher incidence of infection during hospitalization, in-hospital all-cause mortality, and in-hospital major adverse clinical events (MACE) in STEMI patients.

Association between DBP and major adverse cardiovascular events in patients with ST-segment elevation myocardial infarction undergoing percutaneous coronary intervention.

BACKGROUND: In patients with stable coronary artery disease, low DBP is associated with an increased risk of myocardial infarction and cardiovascular death, but its association with clinical outcomes in patients with acute myocardial infarction undergoing percutaneous coronary intervention (PCI) is unknown. METHODS: Consecutive patients with ST-segment elevation myocardial infarction (STEMI) undergoing PCI from January 2010 to June 2016 were enrolled. The patients were divided into five groups according to the quintiles of DBP at admission. The primary outcome was in-hospital major adverse cardiovascular events (MACE) including all-cause death, stroke, target vessel revascularization, and recurrent myocardial infarction. RESULTS: A total of 2198 patients were enrolled, of whom 157 (7.1%) developed in-hospital MACE. Patients with DBP lower than 60 mmHg was associated with a higher rate of in-hospital MACE (14.8, 7.8, 5.6, 6.1, and 3.8%, P < 0.001) and all-cause death (12.5, 6.4, 4.3, 3.9, and 1.9%, P < 0.001) compared with those with DBP 60-69, 70-79, 80-89, and at least 90 mmHg. Multivariate logistic regression analysis demonstrated that DBP higher than 90 mmHg was a significant predictor of lower risk of in-hospital MACE (OR = 0.16, 95% CI = 0.04-0.61, P = 0.007). Cubic spline models for the association between DBP and MACE did not demonstrate a U-type relationship after adjusting for potential risk factors. During the follow-up, lower DBP was associated with a higher risk of all-cause death (P < 0.0001). CONCLUSION: Lower DBP is independently associated with an elevated risk of in-hospital MACE and follow-up all-cause death.

Ticagrelor and the risk of infections during hospitalization in patients with ST-elevation myocardial infarction undergoing percutaneous coronary intervention.

BACKGROUND AND AIMS: Although ticagrelor exerts an antibacterial activity, its effect on infections in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI) is unclear. We aimed to assess whether ticagrelor and clopidogrel affect infections in these patients during hospitalization. METHODS: A total of 2116 consecutive patients with STEMI undergoing PCI were divided into the ticagrelor (n = 388) and clopidogrel (n = 1728) groups. The primary outcome was infection onset. Secondary outcomes were in-hospital all-cause death and major adverse cardiovascular and cerebrovascular events (MACCE). Propensity score analyses were conducted to test the robustness of the results. RESULTS: Infections developed in 327 (15.4%) patients. There was no significant difference in infection between both groups (ticagrelor vs. clopidogrel: 13.1% vs. 16.0%, p = 0.164). Patients in the ticagrelor group had lower rates of in-hospital all-cause death and MACCE than patients in the clopidogrel group. Multivariate logistic regression analysis determined that ticagrelor and clopidogrel had a similar preventive effect on infections during hospitalization (adjusted odds ratio [OR] = 1.20; 95% confidence interval [CI] = 0.80-1.78, p = 0.380). Compared to the patients treated with clopidogrel, patients treated with ticagrelor had a slightly lower risk of other outcomes, but no statistical difference. Propensity score analyses demonstrated similar results for infections and other outcomes. CONCLUSIONS: Compared with clopidogrel treatment, ticagrelor treatment did not significantly alter the risk of infections during hospitalization among STEMI patients undergoing PCI, but was associated with a slightly lower risk of in-hospital all-cause death and MACCE.

Multicenter analysis and a rapid screening model to predict early novel coronavirus pneumonia using a random forest algorithm.

ABSTRACT: Early determination of coronavirus disease 2019 (COVID-19) pneumonia from numerous suspected cases is critical for the early isolation and treatment of patients.The purpose of the study was to develop and validate a rapid screening model to predict early COVID-19 pneumonia from suspected cases using a random forest algorithm in China.A total of 914 initially suspected COVID-19 pneumonia in multiple centers were prospectively included. The computer-assisted embedding method was used to screen the variables. The random forest algorithm was adopted to build a rapid screening model based on the training set. The screening model was evaluated by the confusion matrix and receiver operating characteristic (ROC) analysis in the validation.The rapid screening model was set up based on 4 epidemiological features, 3 clinical manifestations, decreased white blood cell count and lymphocytes, and imaging changes on chest X-ray or computed tomography. The area under the ROC curve was 0.956, and the model had a sensitivity of 83.82% and a specificity of 89.57%. The confusion matrix revealed that the prospective screening model had an accuracy of 87.0% for predicting early COVID-19 pneumonia.Here, we developed and validated a rapid screening model that could predict early COVID-19 pneumonia with high sensitivity and specificity. The use of this model to screen for COVID-19 pneumonia have epidemiological and clinical significance.

A rapid screening model for early predicting novel coronavirus pneumonia in Zhejiang Province of China: a multicenter study.

Novel coronavirus pneumonia (NCP) has been widely spread in China and several other countries. Early finding of this pneumonia from huge numbers of suspects gives clinicians a big challenge. The aim of the study was to develop a rapid screening model for early predicting NCP in a Zhejiang population, as well as its utility in other areas. A total of 880 participants who were initially suspected of NCP from January 17 to February 19 were included. Potential predictors were selected via stepwise logistic regression analysis. The model was established based on epidemiological features, clinical manifestations, white blood cell count, and pulmonary imaging changes, with the area under receiver operating characteristic (AUROC) curve of 0.920. At a cut-off value of 1.0, the model could determine NCP with a sensitivity of 85% and a specificity of 82.3%. We further developed a simplified model by combining the geographical regions and rounding the coefficients, with the AUROC of 0.909, as well as a model without epidemiological factors with the AUROC of 0.859. The study demonstrated that the screening model was a helpful and cost-effective tool for early predicting NCP and had great clinical significance given the high activity of NCP.

Multifocal gastrointestinal epithelioid angiosarcomas diagnosed by endoscopic mucosal resection: A case report.

BACKGROUND: Epithelioid angiosarcoma is a vascular neoplasm that is among the most aggressive subtypes of sarcomas. Its involvement in the gastrointestinal tract is rare. We here report a case of multifocal gastrointestinal epithelioid angiosarcomas presenting with gastrointestinal bleeding. CASE SUMMARY: A 77-year-old woman was admitted because of melena and dizziness for three months. Gastroscopy and colonoscopy were performed, revealing a centrally ulcerated hemorrhagic polypoid lesion in the gastric body and multiple polypoid lesions with blood clots and hemorrhagic tendency in the colon. Histopathological examination of routine endoscopic biopsy samples showed inflammation in the gastric mucosa and tubular adenomas in the colon. The polypoid lesions were removed by endoscopic mucosal resection. Immunohistochemistry suggested a final diagnosis of epithelioid angiosarcomas. The patient refused chemotherapy and died after three months. CONCLUSION: Epithelioid angiosarcomas are characterized by highly vascular nature and tendency to cause gastrointestinal bleeding. Efforts to obtain histological findings using endoscopic mucosal resection are of great importance.

A prediction model based on machine learning for diagnosing the early COVID-19 patients

With the dramatically fast spread of COVID-9, real-time reverse transcription polymerase chain reaction (RT-PCR) test has become the gold standard method for confirmation of COVID-19 infection. However, RT-PCR tests are complicated in operation andIt usually takes 5-6 hours or even longer to get the result. Additionally, due to the low virus loads in early COVID-19 patients, RT-PCR tests display false negative results in a number of cases. Analyzing complex medical datasets based on machine learning provides health care workers excellent opportunities for developing a simple and efficient COVID-19 diagnostic system. This paper aims at extracting risk factors from clinical data of early COVID-19 infected patients and utilizing four types of traditional machine learning approaches including logistic regression(LR), support vector machine(SVM), decision tree(DT), random forest(RF) and a deep learning-based method for diagnosis of early COVID-19. The results show that the LR predictive model presents a higher specificity rate of 0.95, an area under the receiver operating curve (AUC) of 0.971 and an improved sensitivity rate of 0.82, which makes it optimal for the screening of early COVID-19 infection. We also perform the verification for generality of the best model (LR predictive model) among Zhejiang population, and analyze the contribution of the factors to the predictive models. Our manuscript describes and highlights the ability of machine learning methods for improving the accuracy and timeliness of early COVID-19 infection diagnosis. The higher AUC of our LR-base predictive model makes it a more conducive method for assisting COVID-19 diagnosis. The optimal model has been encapsulated as a mobile application (APP) and implemented in some hospitals in Zhejiang Province.

Serum Proteomic Changes as Candidate Biomarkers of Intermediate Liver Fibrosis in Chronic Hepatitis B Infection.

Chronic hepatitis B (CHB) is a major global health burden. Liver fibrosis, an insidious process, is the main histopathological change in CHB that might lead to the end-stage liver disease if left untreated. The intermediate liver fibrosis (S2) is the optimal time to start antiviral therapy. The aim of the present study was to examine the proteomic changes in patients with CHB at different fibrotic stages, with a view to identify future serum biomarkers for S2. Ninety CHB patients were grouped into mild (S0-1), intermediate (S2), and severe liver fibrosis (S3-4) (61 men and 29 women; age 25-63 years). Isobaric tagging for relative and absolute quantitation was applied to screen proteins differentially expressed among the patient groups. Another 46 patients with CHB (age 25-59 years; 31 men and 15 women), and 16 healthy controls (age 26-61 years; 11 men and 5 women) were enrolled in a validation group. Enzyme-linked immunosorbent assay was used to verify the diagnostic value of the candidate biomarkers. We found 139 proteins that were differentially expressed between various fibrotic stage-paired comparisons. Five protein candidates were selected as potential biomarkers of S2 for further verification. Notably, ficolin-2 (FCN2) and carboxypeptidase B2 (CPB2) showed differential expression between patients and healthy controls. In conclusion, serum proteomic changes reported here offer new molecular leads for future research on biomarker candidates to identify liver fibrotic stages in CHB. In particular, FCN2 and CPB2 warrant further research on their possible mechanistic involvement in CHB pathogenesis.

Identification of potential metabolic biomarkers of cerebrospinal fluids that differentiate tuberculous meningitis from other types of meningitis by a metabolomics study.

Tuberculous meningitis (TBM) is caused by tuberculosis infection of of the meninges, which are the membrane systems that encircle the brain, with a high morbidity and mortality rate. It is challenging to diagnose TBM among other types of meningitis, such as viral meningitis, bacterial meningitis and cryptococcal meningitis. We aimed to identify metabolites that are differentially expressed between TBM and the other types of meningitis by a global metabolomics analysis. The cerebrospinal fluids (CSF) from 50 patients with TBM, 17 with viral meningitis, 17 with bacterial meningitis, and 16 with cryptococcal meningitis were analyzed using ultra high performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UHPLC-QTOF-MS). A total of 1161 and 512 features were determined in positive and negative electrospray ionization mode, respectively. A clear separation between TBM and viral, bacterial or cryptococcal meningitis was achieved by orthogonal projections to latent structures-discriminate analysis (OPLS-DA) analysis. Potential metabolic markers and related pathways were identified, which were mainly involved in the metabolism of amino acid, lipids and nucleosides. In summary, differential metabolic profiles of the CSF exist between TBM and other types of meningitis, and potential metabolic biomarkers were identified to differentiate TBM from other types of meningitis.

Old age and hydrocephalus are associated with poor prognosis in patients with tuberculous meningitis: A retrospective study in a Chinese adult population.

Tuberculous meningitis (TBM) is the most common form of central nervous system tuberculosis with a very poor prognosis. We aimed at assessing risk factors related to the prognosis of patients with TBM.Forty-five inpatients with TBM in our institution from January 2013 to December 2015 were enrolled retrospectively. The good or poor prognosis in the patients was defined, based on Glasgow Outcome Scale System at discharge. Patients with a GOS score less than 5 were defined as "poor prognosis." Univariate and multivariate logistic regression analyses were performed to assess the predictors for TBM outcome.Among 45 TBM patients, 35 (77.8%) and 10 (22.2%) were in good, poor prognoses, respectively. Old age, disturbance of consciousness, moderate to severe electroencephalogram abnormality, hydrocephalus, remarkable increase of protein (≥ 236 mg/dL) and white blood cell counts (≥ 243 /µL) in cerebral spinal fluid were associated with poor prognosis. Multivariate analysis indicated that old age (odds ratio (OR) = 18.395, P = .036) and hydrocephalus (OR = 32.995, P = .049) were independent factors for a poor outcome of TBM.In conclusion, old age and hydrocephalus are the predictors for poor prognosis of TBM. Patients with these risk factors should be treated promptly with a special care paid to improve their outcomes.

Endoscopic Ultrasonography in the Diagnosis and Treatment Strategy Choice of Esophageal Leiomyoma.

OBJECTIVES:: Esophageal leiomyoma is the most common benign tumor of the esophagus, and it originates from mesenchymal tissue. This study analyzed the clinicopathological characteristics of esophageal leiomyoma and aimed to evaluate the role of endoscopic ultrasonography in the diagnosis and treatment selection for these lesions. METHODS:: Two hundred and twenty-five patients who had suspected esophageal leiomyomas in endoscopic ultrasonography were enrolled at the Endoscopy Center of The First Affiliated Hospital, Zhejiang University from January 1st, 2009 to May 31th, 2015. The main outcomes included the demographic and morphological characteristics, symptoms, comparisons of diagnosis and treatment methods, adverse events, and prognosis. RESULTS:: One hundred and sixty-seven patients were diagnosed as having an esophageal leiomyoma by pathological examination. The mean patient age was 50.57±9.983 years. In total, 62.9% of the lesions originated from the muscularis mucosa, and the others originated from the muscularis propria. The median distance to the incisors was 30±12 cm. The median diameter was 0.72±0.99 cm. As determined by endoscopic ultrasonography, most existing leiomyomas were homogeneous, endophytic, and spherical. The leiomyomas from the muscularis mucosa were smaller than those from the muscularis propria and much closer to the incisors (p<0.05). SMA (smooth muscle antibody) (97.2%) and desmin (94.5%) were positive in the majority of patients. In terms of treatments, patients preferred endoscopic therapies, which led to less adverse events (e.g., intraoperative bleeding, local infection, pleural effusion) than surgical operations (p<0.05). The superficial leiomyomas presented less adverse events and better recovery (p<0.05) than deep leiomyomas. CONCLUSION:: Endoscopic ultrasonography has demonstrated high accuracy in the diagnosis of esophageal leiomyomas and provides great support in selecting treatments; however, EUS cannot completely avoid misdiagnosis, so combining it with other examinations may be a good strategy to solve this problem.

Endoscopic Ultrasonography in the Diagnosis and Treatment Strategy Choice of Esophageal Leiomyoma

OBJECTIVES: Esophageal leiomyoma is the most common benign tumor of the esophagus, and it originates from mesenchymal tissue. This study analyzed the clinicopathological characteristics of esophageal leiomyoma and aimed to evaluate the role of endoscopic ultrasonography in the diagnosis and treatment selection for these lesions. METHODS: Two hundred and twenty-five patients who had suspected esophageal leiomyomas in endoscopic ultrasonography were enrolled at the Endoscopy Center of The First Affiliated Hospital, Zhejiang University from January 1st, 2009 to May 31th, 2015. The main outcomes included the demographic and morphological characteristics, symptoms, comparisons of diagnosis and treatment methods, adverse events, and prognosis. RESULTS: One hundred and sixty-seven patients were diagnosed as having an esophageal leiomyoma by pathological examination. The mean patient age was 50.57±9.983 years. In total, 62.9% of the lesions originated from the muscularis mucosa, and the others originated from the muscularis propria. The median distance to the incisors was 30±12 cm. The median diameter was 0.72±0.99 cm. As determined by endoscopic ultrasonography, most existing leiomyomas were homogeneous, endophytic, and spherical. The leiomyomas from the muscularis mucosa were smaller than those from the muscularis propria and much closer to the incisors (p<0.05). SMA (smooth muscle antibody) (97.2%) and desmin (94.5%) were positive in the majority of patients. In terms of treatments, patients preferred endoscopic therapies, which led to less adverse events (e.g., intraoperative bleeding, local infection, pleural effusion) than surgical operations (p<0.05). The superficial leiomyomas presented less adverse events and better recovery (p<0.05) than deep leiomyomas. CONCLUSION: Endoscopic ultrasonography has demonstrated high accuracy in the diagnosis of esophageal leiomyomas and provides great support in selecting treatments; however, EUS cannot completely avoid misdiagnosis, so combining it with other examinations may be a good strategy to solve this problem.

Peliosis hepatis: 2 case reports of a rare liver disorder and its differential diagnosis.

RATIONALE: Peliosis hepatis (PH) is a rare tumor-like liver lesion composed of multiple blood-filled cavities within the liver parenchyma. It is hard to differentiate PH from other liver lesions by imaging, such as carcinoma, metastases, or abscess. PATIENT CONCERNS: Here, we reported 2 cases that presented with liver lesions under ultrasound and computed tomography (CT) scanning, without any history of liver diseases or drug usage traced back. DIAGNOSES: Liver biopsy and laparoscopy were processed, and the lesions were eventually diagnosed as PH by histopathology, which microscopically presented with multiple sinusoidal dilatations with blood-filled cystic spaces. INTERVENTIONS: After the liver biopsy or laparoscopy, the patients were discharged and followed up in the clinic. OUTCOMES: Both patients were followed up for at least 1 year with good recovery. LESSONS: PH should always be recognized in the differentiation of liver lesions, particularly indistinctive lesion(s) without any history of liver-related diseases.

National incidence of autoimmune liver diseases and its relationship with the human development index.

OBJECTIVE: Primary biliary cirrhosis (PBC), primary sclerosing cholangitis (PSC), autoimmune hepatitis (AIH) and immunoglobulin G4 related cholangitis represent the major autoimmune liver diseases (AILD). However, the relationship between AILD incidence and socioeconomic development levels is yet to be explored. RESULTS: A total of 43 studies were included. There was a positive but not significant correlation between the PBC incidence and HDI on a global level (r=0.348, P=0.082). However, in Europe, a significantly positive correlation existed between the PBC incidence and HDI (r=0.455, P=0.044). No statistical correlation between PSC incidence and HDI was observed (r=0.116, P=0.706). The incidence of AIH revealed a positive correlation with the national HDI both globally (r=0.638, P=0.014) and in Europe (r=0.644, P=0.045). Moreover, the PBC incidence demonstrated a positive correlation with the health index (r=0.422, P=0.036), but a negative correlation with the education index (r= -0.650, P<0.01). Moreover, the income index presented a positive correlation with both the PSC incidence (r=0.599, P=0.031) and the AIH incidence (r=0.649, P=0.012). METHODS: PubMed was searched to identify relevant epidemiological studies on AILD. The human development index (HDI) was applied as an indicator for socioeconomic development. HDI data were obtained and calculated based on the 2014 Human Development Report. Pearson coefficient and linear regression analysis were conducted to estimate the correlation between incidence and HDI. CONCLUSIONS: There is positive association between the national incidence of AILD and the socioeconomic status, as measured by HDI. In less-developed countries, the incidence of AILD, especially PBC and AIH, might be less common.

[Not Available]. / Aumento del nivel de betatrofina en suero en sujetos con síndrome metabólico: estudio de casos y controles.

Introducción: la betatrofina es una novedosa adipoquina que provoca la proliferación de células ß pancreáticas e interviene en el metabolismo de los lípidos. Objetivos: el propósito de este estudio es evaluar el papel de la betatrofina en el síndrome metabólico. Método: se llevó a cabo un estudio hospitalario de casos y controles según sexo y edad. El nivel de betatrofina en suero fue evaluado mediante ensayo por inmunoabsorción ligado a enzimas. Se midieron las concentraciones en suero de 12 adipoquinas para evaluar las asociaciones con la betatrofina usando los kits comerciales Adipokine Magnetic Bead Panel. Los análisis estadísticos incluyeron correlación bivariada, análisis de curva ROC y análisis de regresión lineal multivariable. Resultados: el nivel de betatrofina en suero fue más elevado en pacientes con síndrome metabólico (997,36 ± 475,92 pg/ml, p = 0,001) que en los controles (735,35 ± 526,51 pg/ml). Frente al tercil más bajo, el tercil más alto del nivel de betatrofina mostró una asociación con mayor riesgo de síndrome metabólico (odds ratio ajustado = 3,521, intervalo de confianza [IC] 95% [1,191-10,413], p = 0,023). Se desarrolló la curva ROC de betatrofina para pronosticar la presencia de síndrome metabólico (área bajo la curva ROC = 0,682 [95% IC, 0,597-0,767], p < 0,001). Además, la betatrofina mostró correlación con distintos parámetros, como edad (r = 0,286, p < 0,001), índice de masa corporal (r = 0,160, p = 0,046), índice cintura-cadera (r = 0,241, p = 0,002), lipoproteína de alta densidad (r = -0,167, p = 0,037), lipoproteína de baja densidad (r = -0,195, p = 0,015), glucosa plasmática en ayunas (r = 0,266, p = 0,001), hemoglobina A1C (r = 0,314, p < 0,001), índice de resistencia a la insulina mediante HOMA (r = 0,272, p = 0,001) y diversas adipoquinas, entre ellas resistina (r = 0,571, p < 0,001), interleucina-8 (r = 0,435, p < 0,001), factor de necrosis tumoral alfa (r = 0,295, p = 0,011) y lipocalina-2 (r = 0,346, p = 0,003). Conclusiones: este estudio demuestra que la betatrofina en suero desempeña una importante labor en el síndrome metabólico, implicando la regulación del metabolismo de la glucosa y los lípidos y la inflamación.

Serum betatrophin level increased in subjects with metabolic syndrome: a case-control study / Aumento del nivel de betatrofina en suero en sujetos con síndrome metabólico: estudio de casos y controles

Background: Betatrophin is a novel adipokine that provokes pancreatic β-cell proliferation and is involved in lipid metabolism. Aims: This study aims to evaluate the role of serum betatrophin in metabolic syndrome (MetS). Methods: A hospital-based, age-/gender-matched case control study was conducted. The serum betatrophin level was evaluated by enzymelinked immunosorbent assay. Serum concentrations of 12 adipokines were measured to assess their associations with serum betatrophin, using commercial Adipokine Magnetic Bead Panel kits. Statistical analyses included bivariate correlation, receiver operating characteristic (ROC) curve, and multivariate stepwise linear regression. Results: Serum betatrophin showed a higher level in MetS patients (997.36 ± 475.92 pg/ml, p = 0.001) compared with controls (735.35 ± 526.51 pg/ml). Compared with the lowest tertile, the highest tertile of serum betatrophin level indicated an association with higher risk of MetS (adjusted odds ratio = 3.521, 95% confidence interval [CI] [1.191-10.413], p = 0.023). ROC curve of betatrophin was developed to predict the presence of MetS (area under ROC = 0.682 [95% CI, 0.597-0.767], p < 0.001). Furthermore, betatrophin correlated with several parameters, e.g. age (r = 0.286, p < 0.001), body mass index (r = 0.160, p = 0.046), waist-to-hip ratio (r = 0.241, p = 0.002), high-density lipoprotein cholesterol (r = -0.167, p = 0.037), low-density lipoprotein cholesterol (r = -0.195, p = 0.015), fasting plasma glucose (r = 0.266, p = 0.001), hemoglobin A1C (r = 0.314, p < 0.001), homeostasis model assessment of insulin resistance (r = 0.272, p = 0.001), and various adipokines, e.g. resistin (r = 0.571, p < 0.001), interleukin-8 (r = 0.435, p < 0.001), tumor necrosis factor-α (r = 0.295, p = 0.011) and lipocalin-2 (r = 0.346, p = 0.003). Conclusions: This study supports that serum betatrophin plays an important role in MetS, involving the regulations of glucose and lipid metabolism and inflammation (AU)

Introducción: la betatrofina es una novedosa adipoquina que provoca la proliferación de células β pancreáticas e interviene en el metabolismo de los lípidos. Objetivos: el propósito de este estudio es evaluar el papel de la betatrofina en el síndrome metabólico. Método: se llevó a cabo un estudio hospitalario de casos y controles según sexo y edad. El nivel de betatrofina en suero fue evaluado mediante ensayo por inmunoabsorción ligado a enzimas. Se midieron las concentraciones en suero de 12 adipoquinas para evaluar las asociaciones con la betatrofina usando los kits comerciales Adipokine Magnetic Bead Panel. Los análisis estadísticos incluyeron correlación bivariada, análisis de curva ROC y análisis de regresión lineal multivariable. Resultados: el nivel de betatrofina en suero fue más elevado en pacientes con síndrome metabólico (997,36 ± 475,92 pg/ml, p = 0,001) que en los controles (735,35 ± 526,51 pg/ml). Frente al tercil más bajo, el tercil más alto del nivel de betatrofina mostró una asociación con mayor riesgo de síndrome metabólico (odds ratio ajustado = 3,521, intervalo de confianza [IC] 95% [1,191-10,413], p = 0,023). Se desarrolló la curva ROC de betatrofina para pronosticar la presencia de síndrome metabólico (área bajo la curva ROC = 0,682 [95% IC, 0,597-0,767], p < 0,001). Además, la betatrofina mostró correlación con distintos parámetros, como edad (r = 0,286, p < 0,001), índice de masa corporal (r = 0,160, p = 0,046), índice cintura-cadera (r = 0,241, p = 0,002), lipoproteína de alta densidad (r = -0,167, p = 0,037), lipoproteína de baja densidad (r = -0,195, p = 0,015), glucosa plasmática en ayunas (r = 0,266, p = 0,001), hemoglobina A1C (r = 0,314, p < 0,001), índice de resistencia a la insulina mediante HOMA (r = 0,272, p = 0,001) y diversas adipoquinas, entre ellas resistina (r = 0,571, p < 0,001), interleucina-8 (r = 0,435, p < 0,001), factor de necrosis tumoral alfa (r = 0,295, p = 0,011) y lipocalina-2 (r = 0,346, p = 0,003). Conclusiones: este estudio demuestra que la betatrofina en suero desempeña una importante labor en el síndrome metabólico, implicando la regulación del metabolismo de la glucosa y los lípidos y la inflamación (AU)

Serum periostin is a potential biomarker for non-alcoholic fatty liver disease: a case-control study.

Recent animal studies support close associations of Periostin with hepatosteatosis and steatohepatitis. This study is to evaluate the role of serum periostin in non-alcoholic fatty liver disease (NAFLD). A hospital-based age-/sex-matched case-control study was conducted. Binary logistic regression and receiver operating characteristic (ROC) curve were performed. Serum adipokines were measured by Adipokine Magnetic Bead Panel kits. The serum concentration of Periostin in NAFLD (1914.16 [1323.59-2654.88] ng/ml, P < 0.001) was higher than it in control (1244.94 [837.87-2028.55] ng/ml). The frequency of NAFLD grew (29.8, 52.6, and 67.2%, P < 0.001), as Periostin concentration increased among its tertiles. Compared with the 1st tertile, the 2nd and the 3rd tertiles of Periostin indicated significant associations with higher odds of NAFLD [adjusted odds ratio = 2.602 (95% confidence interval (CI) 1.030-6.575), P = 0.043 and 2.819 (95% CI 1.629-4.878), P < 0.001]. ROC curve of Periostin was developed to predict the presence of NAFLD (area under ROC = 0.693 [95% CI 0.614-0.771], P < 0.001). Lastly, Periostin correlated with several adipokines, including Resistin (r = 0.269, P = 0.018), Adiponectin (r = -0.352, P = 0.002), Interleukin (IL)-6 (r = 0.359, P = 0.001), IL-8 (r = 0.364, P = 0.001), Lipocalin-2 (r = 0.623, P < 0.001), Hepatocyte growth factor (r = 0.522, P < 0.001), and Nerve growth factor (r = 0.239, P = 0.036). It suggests Periostin as a potential biomarker in the management of NAFLD.