Long-term outcomes of pelvic exenterations for gynecological malignancies: a single-center retrospective cohort study.

BACKGROUND: Recently, with the advancement of medical technology, the postoperative morbidity of pelvic exenteration (PE) has gradually decreased, and it has become a curative treatment option for some patients with recurrent gynecological malignancies. However, more evidence is still needed to support its efficacy. This study aimed to explore the safety and long-term survival outcome of PE and the feasibility of umbilical single-port laparoscopic PE for gynecologic malignancies in a single medical center in China. PATIENTS AND METHODS: PE for gynecological cancers except for ovarian cancer conducted by a single surgical team in Sun Yat-sen University Cancer Center between July 2014 and December 2019 were included and the data were retrospectively analyzed. RESULTS: Forty-one cases were included and median age at diagnosis was 53 years. Cervical cancer accounted for 87.8% of all cases, and most of them received prior treatment (95.1%). Sixteen procedures were performed in 2016 and before, and 25 after 2016. Three anterior PE were performed by umbilical single-site laparoscopy. The median operation time was 460 min, and the median estimated blood loss was 600 ml. There was no perioperative death. The years of the operations was significantly associated with the length of the operation time (P = 0.0018). The overall morbidity was 52.4%, while the severe complications rate was 19.0%. The most common complication was pelvic and abdominal infection. The years of surgery was also significantly associated with the occurrence of severe complication (P = 0.040). The median follow-up time was 55.8 months. The median disease-free survival (DFS) was 17.9 months, and the median overall survival (OS) was 25.3 months. The 5-year DFS was 28.5%, and the 5-year OS was 30.8%. CONCLUSION: PE is safe for patient who is selected by a multi-disciplinary treatment, and can be a curative treatment for some patients. PE demands a high level of experience from the surgical team. Umbilical single-port laparoscopy was a technically feasible approach for APE, meriting further investigation.

Trends in glucagon-like peptide 1 receptor agonist use, 2014 to 2022.

BACKGROUND: Recent Food and Drug Administration approvals of glucagon-like peptide 1 (GLP-1) receptor agonists linked to substantial weight loss have generated interest in demand projections. However, a longitudinal analysis in a large, diverse, current, real-world database has not been published. OBJECTIVES: The study objective was to determine user frequency of GLP-1 receptor agonist products overall and by type 2 diabetes (T2D), cardiovascular disease (CVD), and overweight or obese status. Secondary objective was monthly growth rate estimation by product since first appearance in University of California Health. METHODS: This retrospective cohort study included patients who were dispensed a GLP-1 receptor agonist from 2014 to 2022 in the University of California Health Data Warehouse. Exponential growth rates were estimated using a log-linear regression model. RESULTS: Between 2014 and 2018, only Trulicity and Victoza exceeded 5000 annual users. Ozempic users increased from 569 in 2019 to 7667 in 2020. Use accelerated with more than 13,310 users in 2021 to surpass Trulicity. Ozempic count was 22,891 in 2022. Wegovy rose from 989 in 2021 to 2992 in 2022. Mounjaro increased to 1508 users in 2022. Although generally similar trends were observed for T2D, CVD, and overweight or obese subgroups, the ascent of Ozempic as most frequently used was more apparent in the overweight or obese group. The monthly growth rates were 83.9% for Ozempic, 119.2% for Wegovy, 84.8% for Rybelsus, 53.3% for Saxenda, 12.9% for Adlyxin, 78.8% for Trulicity, and 254.3% for Mounjaro. CONCLUSION: This first cohort study of weight loss-associated GLP-1 receptor agonists in a large, diverse, state-wide health system demonstrated a rapid increased use that represents a clear and likely durable transition in utilization for this category. Informed decision making and longitudinal studies are needed to ensure evidence-concordant prescribing and supply stability.

Debiased lasso for stratified Cox models with application to the national kidney transplant data.

The Scientific Registry of Transplant Recipients (SRTR) system has become a rich resource for understanding the complex mechanisms of graft failure after kidney transplant, a crucial step for allocating organs effectively and implementing appropriate care. As transplant centers that treated patients might strongly confound graft failures, Cox models stratified by centers can eliminate their confounding effects. Also, since recipient age is a proven non-modifiable risk factor, a common practice is to fit models separately by recipient age groups. The moderate sample sizes, relative to the number of covariates, in some age groups may lead to biased maximum stratified partial likelihood estimates and unreliable confidence intervals even when samples still outnumber covariates. To draw reliable inference on a comprehensive list of risk factors measured from both donors and recipients in SRTR, we propose a de-biased lasso approach via quadratic programming for fitting stratified Cox models. We establish asymptotic properties and verify via simulations that our method produces consistent estimates and confidence intervals with nominal coverage probabilities. Accounting for nearly 100 confounders in SRTR, the de-biased method detects that the graft failure hazard nonlinearly increases with donor's age among all recipient age groups, and that organs from older donors more adversely impact the younger recipients. Our method also delineates the associations between graft failure and many risk factors such as recipients' primary diagnoses (e.g. polycystic disease, glomerular disease, and diabetes) and donor-recipient mismatches for human leukocyte antigen loci across recipient age groups. These results may inform the refinement of donor-recipient matching criteria for stakeholders.

Group vs Individual Prenatal Care and Gestational Diabetes Outcomes: A Secondary Analysis of a Randomized Clinical Trial.

Importance: The impact of group-based prenatal care (GPNC) model in the US on the risk of gestational diabetes (GD) and related adverse obstetric outcomes is unknown. Objective: To determine the effects of the GPNC model on risk of GD, its progression, and related adverse obstetric outcomes. Design, Setting, and Participants: This is a single-site, parallel-group, randomized clinical trial conducted between February 2016 and March 2020 at a large health care system in Greenville, South Carolina. Participants were individuals aged 14 to 45 years with pregnancies earlier than 21 weeks' gestational age; follow-up continued to 8 weeks post partum. This study used an intention-to-treat analysis, and data were analyzed from March 2021 to July 2022. Interventions: Eligible participants were randomized to receive either CenteringPregnancy, a widely used GPNC model, with 10 group-based sessions or traditional individual prenatal care (IPNC). Main Outcomes and Measures: The primary outcome was the incidence of GD diagnosed between 24 and 30 weeks of gestation. The secondary outcomes included progression to A2 GD (ie, GD treated with medications) and GD-related adverse obstetric outcomes (ie, preeclampsia, cesarean delivery, and large for gestational age). Log binomial models were performed to estimate risk differences (RDs), 95% CIs, and P values between GPNC and IPNC groups, adjusting for all baseline covariates. Results: Of all 2348 participants (mean [SD] age, 25.1 [5.4] years; 952 Black participants [40.5%]; 502 Hispanic participants [21.4%]; 863 White participants [36.8%]), 1176 participants were randomized to the GPNC group and 1174 were randomized to the IPNC group. Among all participants, 2144 (91.3%) completed a GD screening (1072 participants [91.3%] in GPNC vs 1071 [91.2%] in IPNC). Overall, 157 participants (6.7%) developed GD, and there was no difference in GD incidence between the GPNC (83 participants [7.1%]) and IPNC (74 participants [6.3%]) groups, with an adjusted RD of 0.7% (95% CI, -1.2% to 2.7%). Among participants with GD, GPNC did not reduce the risk of progression to A2 GD (adjusted RD, -6.1%; 95% CI, -21.3% to 9.1%), preeclampsia (adjusted RD, -7.9%; 95% CI, -17.8% to 1.9%), cesarean delivery (adjusted RD, -8.2%; 95% CI, -12.2% to 13.9%), and large for gestational age (adjusted RD, -1.2%; 95% CI, -6.1% to 3.8%) compared with IPNC. Conclusions and Relevance: In this secondary analysis of a randomized clinical trial among medically low-risk pregnant individuals, the risk of GD was similar between participants who received GPNC intervention and traditional IPNC, indicating that GPNC may be a feasible treatment option for some patients. Trial Registration: ClinicalTrials.gov Identifier: NCT02640638.

Statistical Inference for Cox Proportional Hazards Models with a Diverging Number of Covariates.

For statistical inference on regression models with a diverging number of covariates, the existing literature typically makes sparsity assumptions on the inverse of the Fisher information matrix. Such assumptions, however, are often violated under Cox proportion hazards models, leading to biased estimates with under-coverage confidence intervals. We propose a modified debiased lasso method, which solves a series of quadratic programming problems to approximate the inverse information matrix without posing sparse matrix assumptions. We establish asymptotic results for the estimated regression coefficients when the dimension of covariates diverges with the sample size. As demonstrated by extensive simulations, our proposed method provides consistent estimates and confidence intervals with nominal coverage probabilities. The utility of the method is further demonstrated by assessing the effects of genetic markers on patients' overall survival with the Boston Lung Cancer Survival Cohort, a large-scale epidemiology study investigating mechanisms underlying the lung cancer.

Dynamic-Reversible MRI Nanoprobe for Continuous Imaging Redox Homeostasis in Hepatic Ischemia-Reperfusion Injury.

Hepatic ischemia-reperfusion (I/R) injury accompanied by oxidative stress is responsible for postoperative liver dysfunction and failure of liver surgery. However, the dynamic non-invasive mapping of redox homeostasis in deep-seated liver during hepatic I/R injury remains a great challenge. Herein, inspired by the intrinsic reversibility of disulfide bond in proteins, a kind of reversible redox-responsive magnetic nanoparticles (RRMNs) is designed for reversible imaging of both oxidant and antioxidant levels (ONOO-/GSH), based on sulfhydryl coupling/cleaving reaction. We develop a facile strategy to prepare such reversible MRI nanoprobe via one-step surface modification. Owing to the significant change in size during the reversible response, the imaging sensitivity of RRMNs is greatly improved, which enables RRMNs to monitor the tiny change of oxidative stress in liver injury. Notably, such reversible MRI nanoprobe can non-invasively visualize the deep-seated liver tissue slice by slice in living mice. Moreover, this MRI nanoprobe can not only report molecular information about the degree of liver injury but also provide anatomical information about where the pathology occurred. The reversible MRI probe is promising for accurately and facilely monitoring I/R process, accessing injury degree and developing powerful strategy for precise treatment.

Zinc-Carnosine Metallodrug Network as Dual Metabolism Inhibitor Overcoming Metabolic Reprogramming for Efficient Cancer Therapy.

The targeting of tumor metabolism as a novel strategy for cancer therapy has attracted tremendous attention. Herein, we develop a dual metabolism inhibitor, Zn-carnosine metallodrug network nanoparticles (Zn-Car MNs), which exhibits good Cu-depletion and Cu-responsive drug release, causing potent inhibition of both OXPHOS and glycolysis. Notably, Zn-Car MNs can decrease the activity of cytochrome c oxidase and the content of NAD+, so as to reduce ATP production in cancer cells. Thereby, energy deprivation, together with the depolarized mitochondrial membrane potential and increased oxidative stress, results in apoptosis of cancer cells. In result, Zn-Car MNs exerted more efficient metabolism-targeted therapy than the classic copper chelator, tetrathiomolybdate (TM), in both breast cancer (sensitive to copper depletion) and colon cancer (less sensitive to copper depletion) models. The efficacy and therapy of Zn-Car MNs suggest the possibility to overcome the drug resistance caused by metabolic reprogramming in tumors and has potential clinical relevance.

Acute diffuse peritonitis secondary to a seminal vesicle abscess: A case report.

BACKGROUND: Seminal vesicle abscess (SVA) is the manifestation of a relatively rare urinary system infection. In response to urinary system inflammation, an abscess forms in special locations. However, acute diffuse peritonitis (ADP) induced by SVA is unusual. CASE SUMMARY: We report a case of a left SVA in a male patient complicated with pelvic abscess, ADP, multiple organ dysfunction syndrome, infectious shock, bacteremia, and acute appendiceal extraserous suppurative inflammation as a result of a long-term indwelling urinary catheter. The patient received a course of morinidazole + cefminol antibiotics but showed no obvious relief, so the perineal SVA underwent puncture drainage and abdominal abscess drainage + appendectomy was performed. The operations were successful. After the operation, anti-infection, anti-shock, and nutritional support treatments were continued and various laboratory indicators were regularly reviewed. The patient was discharged from the hospital after recovery. This disease is a challenge for the clinician because of the unusual spreading path of the abscess. Moreover, appropriate intervention and adequate drainage of abdominal and pelvic lesions are necessary, especially when the primary focus cannot be determined. CONCLUSION: The etiology of ADP varies, but acute peritonitis secondary to SVA is very rare. In this patient, the left SVA not only affected the adjacent prostate and bladder but also spread retrogradely through the vas deferens, forming a pelvic abscess in the loose tissues of the extraperitoneal fascia layer. Inflammation involving the peritoneal layer led to ascites and pus accumulation in the abdominal cavity, and appendix involvement led to extraserous suppurative inflammation. In clinical practice, surgeons need to consider the results of various laboratory tests and imaging examinations to make comprehensive judgments involving the diagnosis and treatment plan.

Debiased lasso for generalized linear models with a diverging number of covariates.

Modeling and drawing inference on the joint associations between single-nucleotide polymorphisms and a disease has sparked interest in genome-wide associations studies. In the motivating Boston Lung Cancer Survival Cohort (BLCSC) data, the presence of a large number of single nucleotide polymorphisms of interest, though smaller than the sample size, challenges inference on their joint associations with the disease outcome. In similar settings, we find that neither the debiased lasso approach (van de Geer et al., 2014), which assumes sparsity on the inverse information matrix, nor the standard maximum likelihood method can yield confidence intervals with satisfactory coverage probabilities for generalized linear models. Under this "large n, diverging p" scenario, we propose an alternative debiased lasso approach by directly inverting the Hessian matrix without imposing the matrix sparsity assumption, which further reduces bias compared to the original debiased lasso and ensures valid confidence intervals with nominal coverage probabilities. We establish the asymptotic distributions of any linear combinations of the parameter estimates, which lays the theoretical ground for drawing inference. Simulations show that the proposed refined debiased estimating method performs well in removing bias and yields honest confidence interval coverage. We use the proposed method to analyze the aforementioned BLCSC data, a large-scale hospital-based epidemiology cohort study investigating the joint effects of genetic variants on lung cancer risks.

Posterior white matter hyperintensities are associated with reduced medial temporal lobe subregional integrity and long-term memory in older adults.

White matter hyperintensities are a marker of small vessel cerebrovascular disease that are strongly related to cognition in older adults. Similarly, medial temporal lobe atrophy is well-documented in aging and Alzheimer's disease and is associated with memory decline. Here, we assessed the relationship between lobar white matter hyperintensities, medial temporal lobe subregional volumes, and hippocampal memory in older adults. We collected MRI scans in a sample of 139 older adults without dementia (88 females, mean age (SD) = 76.95 (10.61)). Participants were administered the Rey Auditory Verbal Learning Test (RAVLT). Regression analyses tested for associations among medial temporal lobe subregional volumes, regional white matter hyperintensities and memory, while adjusting for age, sex, and education and correcting for multiple comparisons. Increased occipital white matter hyperintensities were related to worse RAVLT delayed recall performance, and to reduced CA1, dentate gyrus, perirhinal cortex (Brodmann area 36), and parahippocampal cortex volumes. These medial temporal lobe subregional volumes were related to delayed recall performance. The association of occipital white matter hyperintensities with delayed recall performance was fully mediated statistically only by perirhinal cortex volume. These results suggest that white matter hyperintensities may be associated with memory decline through their impact on medial temporal lobe atrophy. These findings provide new insights into the role of vascular pathologies in memory loss in older adults and suggest that future studies should further examine the neural mechanisms of these relationships in longitudinal samples.

Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data.

Most work in neural networks focuses on estimating the conditional mean of a continuous response variable given a set of covariates. In this article, we consider estimating the conditional distribution function using neural networks for both censored and uncensored data. The algorithm is built upon the data structure particularly constructed for the Cox regression with time-dependent covariates. Without imposing any model assumptions, we consider a loss function that is based on the full likelihood where the conditional hazard function is the only unknown nonparametric parameter, for which unconstrained optimization methods can be applied. Through simulation studies, we show that the proposed method possesses desirable performance, whereas the partial likelihood method and the traditional neural networks with L2 loss yields biased estimates when model assumptions are violated. We further illustrate the proposed method with several real-world data sets. The implementation of the proposed methods is made available at https://github.com/bingqing0729/NNCDE.

Examination of Medication Use Patterns by Age Group, Comorbidity, and Month in COVID-19 Positive Patients in a Large Statewide Health System During the Pandemic in 2020.

Background: Understanding medication use patterns for patients with COVID-19 will provide needed insight into the evolution of COVID-19 treatment over the course of the SARS-CoV-2 pandemic and aid clinical management considerations. Objectives: To systematically determine most frequently used medications among COVID-19 patients overall and by hospitalization status. Secondary objective was use measurement of medications considered potential therapeutic options. Methods: Retrospective cohort study was performed using data from the University of California COVID Research Data Set (UC CORDS) patients between March 10, 2020, and December 31, 2020. Main outcomes were percentages of patients prescribed medications, overall, by age group, and by comorbidity based on hospitalization status for COVID-19 patients. Use percentage by month of COVID-19 diagnosis was measured. Cumulative count of potential therapeutic options was measured over time. Results: Dataset included 22 896 unique patients with COVID-19 (mean [SD] age, 42.4 [20.4] years; 12 154 [53%] women). Most frequently used medications in patients overall were acetaminophen (21.2%), albuterol (14.9%), ondansetron (13.9%), and enoxaparin (10.8%). Dexamethasone use increased from fewer than 50 total hospitalized patients through April who had received the medication, to more than 500 patients by mid-August. Cumulative count of enoxaparin users was the largest throughout the study period. Conclusion and Relevance: In this retrospective cohort study, across age and comorbidity groups, predominant utilization was for supportive care therapy. Dexamethasone and remdesivir experienced large increases in use. Conversely, hydroxychloroquine and azithromycin use markedly dropped. Medication utilization rapidly shifted toward more evidence-concordant treatment of patients with COVID-19 as rigorous study findings emerged.

Ternary Alloy PtWMn as a Mn Nanoreservoir for High-Field MRI Monitoring and Highly Selective Ferroptosis Therapy.

Ferroptosis exhibits potential to damage drug-resistant cancer cells. However, it is still restricted with the "off-target" toxicity from the undesirable leakage of metal ions from ferroptosis agents, and the lack of reliable imaging for monitoring the ferroptosis process in living systems. Herein, we develop a novel ternary alloy PtWMn nanocube as a Mn reservoir, and further design a microenvironment-triggered nanoplatform that can accurately release Mn ions within the tumor to increase reactive oxygen species (ROS) generation, produce O2 and consume excess glutathione for synergistically enhancing nonferrous ferroptosis. Moreover, this nanoplatform exerts a responsive signal in high-field magnetic resonance imaging (MRI), which enables the real-time report of Mn release and the monitoring of ferroptosis initiation through the signal changes of T1 -/T2 -MRI. Thus, our nanoplatform provides a novel strategy to store, deliver and precisely release Mn ions for MRI-guided high-specificity ferroptosis therapy.

Symptoms of obstructive sleep apnea are associated with less frequent exercise and worse subjective cognitive function across adulthood.

STUDY OBJECTIVES: To determine whether subjective measures of exercise and sleep are associated with cognitive complaints and whether exercise effects are mediated by sleep. METHODS: This study analyzed questionnaire data from adults (18-89) enrolled in a recruitment registry. The Cognitive Function Instrument (CFI) assessed cognitive complaints. Medical Outcomes Study Sleep Scale (MOS-SS) subscales and factor scores assessed sleep quality, daytime sleepiness, nighttime disturbance, and insomnia and obstructive sleep apnea (OSA)-like symptoms. Exercise frequency was defined as the weekly number of exercise sessions. Exercise frequency, MOS-SS subscales, and factor scores were examined as predictors of CFI score, adjusting for age, body mass index, education, sex, cancer diagnosis, antidepressant usage, psychiatric conditions, and medical comorbidities. Analyses of covariance examined the relationship between sleep duration groups (short, mid-range, and long) and CFI score, adjusting for covariates. Mediation by sleep in the exercise-CFI score relationship was tested. RESULTS: Data from 2106 adults were analyzed. Exercise and MOS-SS subscales and factor scores were associated with CFI score. Higher Sleep Adequacy scores were associated with fewer cognitive complaints, whereas higher Sleep Somnolence, Sleep Disturbance, Sleep Problems Index I, Sleep Problems Index II, and factor scores were associated with more cognitive complaints. MOS-SS subscales and factor scores, except Sleep Disturbance and the insomnia factor score, mediated the association between exercise and cognitive complaints. CONCLUSIONS: The relationship between exercise frequency and subjective cognitive performance is mediated by sleep. In particular, the mediation effect appears to be driven by symptoms possibly suggestive of OSA which are negatively associated with exercise engagement, sleep quality, daytime sleepiness, and subjective cognitive performance.

Asymptomatic gastric adenomyoma and heterotopic pancreas in a patient with pancreatic cancer: A case report and review of the literature.

BACKGROUND: Gastric adenomyoma (GA) is a rare submucosal benign neoplasm that occurs mostly in the gastric antrum and is often misdiagnosed. No standard treatment has been established for this disease in cases of malignancy. CASE SUMMARY: A 75-year-old woman with a 10-year history of hypertension was admitted to the Emergency Department of our hospital complaining of paroxysmal exacerbation of acute abdominal pain for 1 d with no apparent cause. Enhanced computed tomography and magnetic resonance imaging indicated a mass in the caudal pancreas, cholecystitis, and cholecystic polypus. Gastrointestinal endoscopy showed a mass arising from the gastric antrum. Due to the imaging findings, pancreatic cancer (PC), gastric lesion, cholecystitis, and cholecystic polypus were our primary consideration. Radical pancreatectomy, splenectomy, and cholecystectomy were performed successfully, and the gastric tumor was locally resected. Postoperative paraffin specimens confirmed the diagnosis of caudal PC, GA, and heterotopic pancreas (HP). Unfortunately, the patient died 13 mo later due to PC metastases to the liver, lung, and adrenal glands. CONCLUSION: GA is a rare benign disease, especially when occurring with HP. It may stem from the same origin as HP. This is the first case report to date of a patient suffering from the simultaneous occurrence of GA, HP, and PC. GA is a lesion that can mimic other benign or malignant gastrointestinal diseases; thus, a definitive diagnosis depends on postoperative pathological biopsy. Although GA and HP are both benign lesions, they should be resected because there is a chance of malignancy. Additional research should be conducted to better understand these submucosal lesions.

A Structured Brain-wide and Genome-wide Association Study Using ADNI PET Images.

A multi-stage variable selection method is introduced for detecting association signals in structured brain-wide and genome-wide association studies (brain-GWAS). Compared to conventional single-voxel-to-single-SNP approaches, our approach is more efficient and powerful in selecting the important signals by integrating anatomic and gene grouping structures in the brain and the genome, respectively. It avoids large number of multiple comparisons while effectively controls the false discoveries. Validity of the proposed approach is demonstrated by both theoretical investigation and numerical simulations. We apply the proposed method to a brain-GWAS using ADNI PET imaging and genomic data. We confirm previously reported association signals and also find several novel SNPs and genes that either are associated with brain glucose metabolism or have their association significantly modified by Alzheimer's disease status.

Ratiometric Semiconducting Polymer Nanoparticle for Reliable Photoacoustic Imaging of Pneumonia-Induced Vulnerable Atherosclerotic Plaque in Vivo.

Acute pneumonia can greatly increase the vulnerable risk of atherosclerotic plaque and contribute to the mortality of cardiovascular disease. To accurately assess the rupture risk caused by acute pneumonia, we developed a novel kind of ratiometric semiconducting polymer nanoparticle (RSPN) for photoacoustic imaging of vulnerable plaque in apolipoprotein E-deficient mice complicated with pneumonia. Specifically, RSPN can react with O2•- and exhibit the enhanced photoacoustic signals at about 690 nm, while 800 nm is regarded as an internal photoacoustic reference. As a result, RSPN can provide reliable determination of O2•- within aortic atherosclerosis by analyzing the ratios of photoacoustic signals, which can successfully reflect the oxidative stress level in vulnerable plaque. Therefore, RSPN enable to specifically distinguish plaque-bearing mice and plaque-bearing mice complicated with pneumonia from healthy mice, which provides a promising tool to predict the vulnerability of plaque for reducing the mortality of atherosclerotic-induced cardiovascular disease.

Salidroside inhibits apoptosis and autophagy of cardiomyocyte by regulation of circular RNA hsa_circ_0000064 in cardiac ischemia-reperfusion injury.

Salidroside (Sal), a natural extract of Rhodiola rosea, shows a latent effect on protecting cardiovascular system. Our study explored the effect of salidroside on ischemia-reperfusion (I/R) injury in rat heart. I/R was performed on Wistar rat hearts, and Sal pretreatment was performed in I/R rats. Cardiac marker enzyme, myocardial infarct size, malondialdehyde (MDA) and superoxide dismutase (SOD) content were then measured. Compared with the untreated group, Sal pretreatment observably ameliorated the cardiac function, decreased the myocardial infarct size, reduced the levels of cardiac lactate creatine kinase-MB (CK-MB) and dehydrogenase (LDH), and inhibited the anti-oxidative stress. In addition, Sal treatment also significantly inhibited autophagy and apoptosis, which could be partially reversed by Rapamycin (RAPA), an autophagic agonist. Furthermore, Sal treatment attenuated autophagy by up-regulating the expression of hsa_circ_0000064 (circ-0000064) and Rapamycin (RAPA) treatment abolished it. Our study showed that Sal protected the heart from I/R injury, which might berelated to the upregulation of circ-0000064 and the inhibition of autophagy.

Synchronous hepatocellular carcinoma and gallbladder adenocarcinoma with neuroendocrine differentiation: a case report and literature review.

BACKGROUND: Double primary cancers have a low incidence rate, and synchronous hepatocellular carcinoma and gallbladder adenocarcinoma are rarely reported. Here, we report such a case- the 12th case of synchronous double primary cancers featuring HCC and GC, but the first case of neuroendocrine differentiation in the gallbladder. CASE PRESENTATION: A 77-year-old female was admitted to the hospital complaining of weakness and inappetence for six months. Contrast-enhanced computed tomography (CT) of the abdomen indicated an 11 cm space-occupying lesion in the right lobe of the liver. Later, magnetic resonance imaging showed a high possibility of a massive hepatoma, and multiple gallstones were also seen. After transhepatic arterial chemoembolization, a repeat abdominal CT showed obvious local nodular thickening in the gallbladder wall. Finally, resection of the right lobe of the liver and cholecystectomy were performed. During an approximately 2-year follow-up, the patient recovered uneventfully without recurrence or metastasis. CONCLUSION: The disease in this case is rare and lacked typical radiological features. More precise and advanced diagnostic techniques are needed to obtain a clear diagnosis and refine treatment strategies. The management strategy should always be curative, even in the presence of multiple malignancies.