Slatteryspencer1370

all evaluation of a resident's experience with the clinical learning environment.

Primary liver cancer has high mortality and morbidity worldwide. However, the characteristic of gut microbiota profile and its correlation with inflammation status in liver cancer patients remains largely unknown, and a gut microbiome-based diagnostic model for liver cancer is still absent.

Here, we provided a comprehensive analysis based on fecal 16S rRNA sequencing and clinical data in a cohort consisting of 40 healthy volunteers, 143 hepatocellular carcinoma (HCC) patients, and 46 cholangiocarcinoma (CCA) patients.

Our results indicated a distinct shift of gut microbiota composition between two primary liver cancer types and compared with healthy volunteers. Based on the diversity constitute of gut microbiome taxonomy and random forest algorithm, eight genera with mean abundance above 0.1% were selected to construct the classification model with half of the randomly selected cohort. Based on this signature, high diagnostic accuracy in the validation cohort to classify liver cancer types (AUC = 0.989, 0.967, 0.920 for Control, HCC, CCA separately) was achieved. Further analysis showed increased Gram-negative bacteria and elevated inflammatory response markers in CCA group versus HCC group. The correlation analysis between inflammatory response markers and composition of gut microbiome revealed decreased potentially beneficial genus and increased opportunistic pathogens positively correlated with adverse prognostic inflammatory response markers.

Generally, our study established the gut microbiome-based signature for liver cancer prediction and screening and revealed that gut microbiome characteristic in primary liver cancer was correlated with adverse inflammatory response markers in liver cancer.

Generally, our study established the gut microbiome-based signature for liver cancer prediction and screening and revealed that gut microbiome characteristic in primary liver cancer was correlated with adverse inflammatory response markers in liver cancer.

Liver cancer is a detrimental complication in patients with chronic viral hepatitis and alcoholic or nonalcoholic fatty liver disease (NAFLD). However, metabolic risk factors underlying NAFLD usually cause substantial differences in their clinical outcomes. Recently, several studies have used a novel definition of metabolic dysfunction-associated fatty liver disease (MAFLD) to reassess patients with NAFLD and pointed out the importance of metabolic risk factors. Since patients with NAFLD, MAFLD, or metabolic syndrome (MetS) have different burden of metabolic risk factors, it is crucial to decipher the risk of developing hepatic complications in these populations.

Through a longitudinal nationwide cohort study, the risk of liver cancer was investigated in patients with MetS alone, NAFLD alone, overlap NAFLD/MAFLD, and coexisting MetS and NAFLD. The general characteristics, comorbidities, and incidence of liver cancer were also compared.

Intriguingly, patients diagnosed with MetS alone did not have a signis crucial in these patients.

There is no sufficient data about the clinical course and outcome in thyroid cancer patients who become pregnant after diagnosis of distant metastasis (DM). The current study was conducted to collect information regarding the clinical and reproductive characteristics, and outcomes in thyroid cancer patients who became pregnant after being diagnosed with DM.

Records of 125 differentiated thyroid cancer (DTC) patients with age ≤45 years at DM diagnosis who had visited Ito Hospital from January 2005 to June 2021 were retrospectively reviewed. Among those 125 patients, 28 who became pregnant after DM diagnosis were classified as pregnancy group, and the remained 97 patients were classified as comparator group.

In pregnancy group, the median age at malignancy diagnosis, DM diagnosis, and first pregnancy after DM diagnosis was 25 years (range, 4-41 years), 27 years (range, 11-41 years), and 32 years (range, 25-45 years), respectively. Fifty-five pregnancies and 40 live births were reported. Other pregnancy outcomes were miscarriage (n = 14) and induced abortion (n = 1). The 10-year progression-free survival (PFS) rates of pregnant and comparator group were 92.1% and 74.4%, respectively (p = 0.018). The multivariate analysis showed that multiple

I treatment was independent negative prognostic factor for PFS (p = 0.046).

DTC patients with age ≤45 years at DM diagnosis had good survival even though they became pregnant. Our results add to the information required for counseling thyroid cancer patients who have concerns about their fertility in the future.

DTC patients with age ≤45 years at DM diagnosis had good survival even though they became pregnant. Our results add to the information required for counseling thyroid cancer patients who have concerns about their fertility in the future.

This study aimed to determine the association of decreased muscle mass with reduced bone mineral density in patients with Graves' disease.

A total of 758 patients with Graves' disease at diagnosis (mean age 41.2 years) were enrolled for a cross-sectional study; of these, 287 were enrolled for a cohort study with a median follow-up of 24 months. Meanwhile, 1164 age- and sex-matched healthy controls were recruited. All participants underwent dual-energy x-ray absorptiometry and muscle mass index (ASMI) measurements. The changes in ASMI and bone mineral density (BMD) were calculated from the measurements made at a gap of 2 years.

The BMD of patients with Graves' disease was still significantly lower after normalizing serum thyroid hormone levels compared with that of healthy controls. learn more ASMI positively correlated with BMD in patients with Graves' disease (lumbar BMD, r = 0.210; femoral neck BMD, r = 0.259; hip BMD, r = 0.235; P < 0.001), and this relationship persisted after successful anti-thyroid therapy (lumbar BMD, r = 0.169; femoral neck BMD, r = 0.281; hip BMD, r = 0.394; P < 0.001). Low muscle mass was associated with low BMD (OR, 1.436; 95% CI, 1.026-2.010). Improving the muscle mass led to changes in the bone mass of the femoral neck (OR, 0.420; 95% CI, 0.194-0.911) and hip (OR, 0.217; 95% CI, 0.092-0.511) during the follow-up. However, this phenomenon was not observed in lumbar and bone turnover markers.

The recovery of bone mass might be related to the recovery of the muscle mass. Patients with Graves' disease should be helped to regain their muscle mass and thus accelerate the recovery of bone mass while administering anti-thyroid therapy.

The recovery of bone mass might be related to the recovery of the muscle mass. Patients with Graves' disease should be helped to regain their muscle mass and thus accelerate the recovery of bone mass while administering anti-thyroid therapy.

In this study, we aimed to reveal mortality rates and factors affecting survival in geriatric patients infected with COVID-19.

This is a retrospective study of 873 geriatric patients with COVID-19 who were hospitalized between March 11, 2020 and March 11, 2021. Demographic, clinical, laboratory data, and treatment options were obtained from electronic medical records. Multivariate logistic regression was used to explore the risk factors for in-hospital death.

During the specified period, 643 patients were discharged, and 230 patients died in the hospital. The mean age was 75.08 ± 7.39years (mean ± SD) and 51.8% were males. We found that older age (≥ 85), polypharmacy, dyspnea, abnormal thorax computed tomography (CT), lower doses of anticoagulation, and high values of white blood cell, aspartate aminotransferase, C-reactive protein, lactate dehydrogenase, ferritin were associated with a significant increase in mortality (P < 0.001 for all). Although all of these values were significant in multivariate logistic regression analysis, the most important ones were dyspnea (Odds ratio (OR) 57.916, 95% confidence interval (CI) 23.439-143.104, P < 0.001), polypharmacy (OR 6.782, 95% CI 3.082-14.927, P < 0.001), and thorax CT classification (typical; OR 9.633, 95% CI 2.511-37.122, P < 0.001).

Older age, polypharmacy, dyspnea, andabnormal thorax CTwere the most significant mortality criteria and in addition appropriate anticoagulant use was associated with reduced mortality. Identifying the risk factors to predict mortality in older adults with COVID-19 is important to treat future cases successfully.

Older age, polypharmacy, dyspnea, and abnormal thorax CT were the most significant mortality criteria and in addition appropriate anticoagulant use was associated with reduced mortality. Identifying the risk factors to predict mortality in older adults with COVID-19 is important to treat future cases successfully.Chorioamnionitis (CA) is a risk factor for preterm birth and is associated with neurodevelopmental delay and cognitive disorders. Prenatal inflammation-induced brain injury may resolve during the immediate postnatal period when rapid brain remodeling occurs. Cerebrospinal fluid (CSF) collected at birth may be a critical source of predictive biomarkers. Using pigs as a model of preterm infants exposed to CA, we hypothesized that prenatal lipopolysaccharide (LPS) exposure induces proteome changes in the CSF and brain at birth and postnatally. Fetal piglets (103 days gestation of full-term at 117 days) were administered intra-amniotic (IA) lipopolysaccharide (LPS) 3 days before preterm delivery by caesarian section. CSF and brain tissue were collected on postnatal Days 1 and 5 (P1 and P5). CSF and hippocampal proteins were profiled by LC-MS-based quantitative proteomics. Neuroinflammatory responses in the cerebral cortex, periventricular white matter and hippocampus were evaluated by immunohistochemistry, and geay predict later structural brain damage in preterm infants exposed to variable types and durations of CA-related inflammation in utero.Cerebral ischemia/reperfusion (I/R) injury contributes considerably to the poor prognosis in patients with ischemic stroke. This study is aimed to delineate the molecular mechanistic actions by which sevoflurane protects against cerebral I/R injury. A rat model of cerebral I/R injury was established and pre-treated with sevoflurane, in which hippocampal neuron apoptosis was found to be repressed and the level of E2F transcription factor 1 (E2F1) was observed to be down-regulated. Then, the up-regulated expression of E2F1 was validated in rats with cerebral I/R injury, responsible for stimulated neuron apoptosis. Further, the binding of E2F1 to enhancer of zeste homolog 2 (EZH2) and EZH2 to tissue inhibitor of metalloproteinases-2 (TIMP2) was identified. The stimulative effect of the E2F1/EZH2/TIMP2 regulatory axis on neuron apoptosis was subsequently demonstrated through functional assays. After that, it was substantiated in vivo that sevoflurane suppressed the apoptosis of hippocampal neurons in rats with cerebral I/R injury by down-regulating E2F1 to activate the EZH2/TIMP2 axis. Taken together, our data elucidated that sevoflurane reduced neuron apoptosis through mediating the E2F1/EZH2/TIMP2 regulatory axis, thus protecting rats against cerebral I/R injury.