Abstract Incretins are gut-produced peptide-hormones that potentiate insulin secretion, especially after food intake. The concept of incretin was formed more than 100 years ago, even before insulin was isolated and utilized in the treatment of subjects with type 1 diabetes. The first incretin, glucose-dependent insulinotropic polypeptide (GIP), was identified during later 1960’s and early 1970’s; while the second one, known as glucagon-like peptide-1 (GLP-1), was recognized during 1980’s. Today, GLP-1-based therapeutic agents [also known as GLP-1 receptor (GLP-1R) agonists, GLP-1RAs] are among the first line drugs for type 2 diabetes. In addition to serving as incretin, extra-pancreatic functions of GLP-1RAs have been broadly recognized, including those in the liver, despite the absence of GLP-1R in hepatic tissue. The existence of insulin-independent or gut-pancreas-liver axis-independent hepatic function of GLP-1RAs explains why those therapeutic agents are effective in subjects with insulin resistance and their profound effect on lipid homeostasis. Following a brief review on the discovery of GLP-1, we reviewed literature on the exploration of hepatic function of GLP-1 and GLP-1RAs and discussed recent studies on the role of hepatic hormone fibroblast growth factor 21 (FGF21) in mediating function of GLP-1RAs in animal models. This was followed by presenting our perspective views. 

pdf/hepatic-function-of-glucagon-like-peptide-1-and-its-based-2rw8zgmhws.pdf

Hepatic function of glucagon-like peptide-1 and its based diabetes drugs

Obstructive sleep apnea (OSA) is an important but frequently overlooked risk factor for hypertension (HTN). The prevalence of hypertension is high in patients with OSA, but the differences in clinical symptoms and comorbidities between patients with OSA with hypertension and those with normal blood pressure have not been fully defined.This study retrospectively analyzed OSA patients diagnosed for the first time in Lihuili Hospital Affiliated to Ningbo University from 2016 to 2020. Patients were divided into an OSA group with hypertension and an OSA group without hypertension. The sociodemographic information, clinical symptoms, comorbidities, and polysomnography results of the two groups were compared. The independent risk factors associated with hypertension in patients with OSA were explored.A total of 1108 patients with OSA initially diagnosed were included in the study, including 387 with hypertension and 721 without. Compared with OSA patients without hypertension, OSA patients with hypertension were older; had a higher body mass index (BMI) and Epworth sleepiness score (ESS); a higher incidence of nocturia; and a higher proportion of diabetes mellitus, coronary heart disease, and cerebrovascular disease. Multivariate analysis showed age (odds ratio [OR]:1.06, 95% confidence interval [CI]:1.04-1.08), BMI (OR:1.17, 95% CI:1.11-1.23), ESS score (OR:0.97, 95%CI: 0.94-1.00) and nocturia symptoms (OR:1.64, 95% CI:1.19-2.27) was independently associated with hypertension in OSA patients, and comorbid diabetes (OR: 3.86, 95% CI: 2.31-6.45), coronary heart disease (OR: 1.90, 95% CI:1.15-3.16), and ischemic stroke (OR: 3.69,95% CI:1.31-10.40) was independently associated with hypertension in OSA patients.Compared to OSA patients with normal blood pressure, OSA patients with hypertension had more significant daytime sleepiness, more frequent nocturnal urination, and a higher risk of diabetes, coronary heart disease, and cerebrovascular disease.

Symptom and comorbidity burden in hypertensive patients with obstructive sleep apnea

AIM
Brucellosis may affect the eye to varying degrees. The aim of this study was to investigate the ocular involvement of brucellosis and highlight key points.


MATERIAL AND METHODS
Published literature in English language on the ocular involvement of brucellosis within last 30 years was evaluated. The PubMed international database was screened using certain keywords.


RESULTS
The study included 27 publications evaluating a total of 159 cases. The most common types of ocular involvement were uveitis (52.2%) and conjunctivitis (17.6%). Most cases had concomitant systemic brucellosis (27.7%), and the most commonly used diagnostic method was a serological test (92.4%). Of all the patients, 37.1% recovered with sequelae.


CONCLUSION
Brucellosis may cause a wide range of ophthalmic manifestations, and an overlooked or late diagnosis may also lead to the development of sequelae or loss of vision. A routine ophthalmologic examination should be performed in all patients with systemic brucellosis.

Ocular Involvement of Brucellosis: A Pooled Analysis Study.

AIMS
The association of sleep traits (insomnia, sleep duration, chronotype, daytime sleepiness, and snoring) with benign prostatic hyperplasia (BPH) is unclear. This research aimed to examine the effects of sleep traits on BPH risk.


METHODS
A total of 170 241 men aged 38 to 73 years from UK Biobank were included. An overall healthy sleep score was created based on five sleep traits. A Cox regression model was utilized to compute adjusted hazard ratios (HRs) and population attributable fractions (PAFs) with 95% confidence intervals (CIs) for BPH risk in relation to sleep traits.


RESULTS
During a median of 12.0 years follow-up, 13 026 incident BPH cases occurred. We observed that sleep duration (7-8 h/d; HR 0.95; 95% CI 0.92-0.99), no frequent insomnia (HR 0.71; 95% CI 0.69-0.74), and no frequent daytime sleepiness (HR 0.86; 95% CI 0.79-0.93) were significantly related to reduced BPH risk. Each one-point increment of the healthy sleep score was related to a decreased BPH risk, with an adjusted HR of 0.90 (95% CI 0.89-0.92). The multivariable-adjusted HR in men adopting five versus zero to one low-risk sleep traits was 0.68 (95% CI 0.61-0.75) for BPH risk. Estimates of the PAF indicated that 9.1% (95% CI 5.8-12.5%) of BPH cases would be prevented if all individuals had adopted all five low-risk sleep traits, assuming causality.


CONCLUSIONS
Our study indicates an association between a healthy sleep pattern and a lower risk of BPH, emphasizing the importance of adhering to such patterns for potentially reducing BPH risk. Geriatr Gerontol Int 2024; ••: ••-••.

Association of sleep traits with benign prostatic hyperplasia in middle-aged and elderly men: A prospective analysis in UK Biobank.

The application of gemcitabine and pirarubicin in patients with non-muscle invasive bladder cancer

Objectives The objective of this study was to explore the association between nocturia and hypertension in a large, nationally representative adult sample. Methods We used data from 2005 to 2016 National Health and Nutritional Examination Surveys (NHANES). A total of 29,505 participants aged 20 years old or older were included. A participant was considered to have nocturia if he or she had two or more voiding episodes at night. Multivariable logistic regression models were used to explore the association between nocturia and hypertension. Results Participants with nocturia were associated with a higher risk of hypertension (OR, 1.36; 95% CI, 1.28–1.45). Interaction tests revealed no significant effect of sex, age, race, or body mass index on the association of nocturia with hypertension. As the severity of nocturia increases, the risk of hypertension increases (P for trend <0.0001). In addition, nocturia was also related to different grades of hypertension (II vs. I: OR, 1.34, 95% CI, 1.16–1.55; III vs. I: OR, 1.67, 95% CI, 1.32–2.13). Conclusion In this cross-sectional study, our results suggest that nocturia is associated with an increased risk for hypertension.

https://www.frontiersin.org/articles/10.3389/fcvm.2023.1165092/pdf

Relationship between nocturia and hypertension: findings from the NHANES 2005–2016

BACKGROUND
The purpose of this study was to evaluate the various causes of death among patients with non-muscular invasive bladder cancer (NMIBC), non-metastatic muscle invasive bladder cancer (non-MMIBC) and metastatic bladder cancer (MBC) after diagnosis.


METHODS
With the Surveillance, Epidemiology, and Final Results database, patients diagnosed with bladder cancer from 2004 to 2015 were identified. All causes of death and the standardization mortality ratio (SMR) were analyzed.


RESULTS
A total of 111,784 NMIBC, 26,546 non-MIBC and 4,678 MBC patients were identified. For NMIBC patients, 44,638 patients died during the follow-up, including 20.57% of bladder cancer, 18% of other tumors and 61.36% of non-tumor diseases. Main causes of other tumors death were cancers from lung and bronchus [n=2,860, SMR: 1.56 (1.51-1.62)], pancreas [n=506, SMR: 1.15 (1.05-1.26)], and prostate [n=442, SMR: 0.62 (0.56-0.68)]. Main causes of non-tumor deaths were diseases of heart [n=10,007, SMR: 1.15 (1.13-1.17)], chronic obstructive pulmonary disease (COPD) [n=3,153, SMR: 1.54 (1.49-1.59)], cerebrovascular diseases [n=1,704, SMR: 0.96 (0.91-1)], alzheimers [n=1,211, SMR: 0.87 (0.82-0.92)] and diabetes mellitus [n=1,047, SMR: 1.19 (1.12-1.27)]. Among the 18829 deaths in non-MMIBC patients, 62.65% patients died of bladder cancer, 11.08% of other tumors and 26.39% of non-tumor causes. Main deaths of other cancers were tumors from lung and bronchus [n=435, SMR: 1.83 (1.66-2.01)], prostate [n=192, SMR: 2.21 (1.91-2.54)]. Main causes of non-tumor death were diseases of heart [n=1717, SMR: 1.56 (1.49-1.64)], COPD [n=561, SMR: 2.18 (2.01-2.37)], and cerebrovascular diseases [n=290, SMR: 1.28 (1.14-1.44)]. Among the 4,392 deaths of MBC patients, 3,486 (79.37%) died of bladder cancer. Main cause of other deaths included diseases of heart (n=128) and prostate cancer (n=57).


CONCLUSION
For NMIBC patients, leading causes of death were diseases of heart, COPD, lung and bronchus cancer, cerebrovascular diseases, Alzheimer's, and diabetes mellitus. Leading causes of deaths for non-MMIBE patients were bladder cancer, diseases of heart, COPD, lung and bronchus cancer, cerebrovascular diseases and prostate cancer. Main causes of death for MBC patients were bladder cancer itself. Our results of all causes of death and mortality risks provided useful information for bladder cancer patients.

Cause of death of patients with non-muscular invasive, non-metastatic muscular invasive and metastatic bladder cancer after diagnosis.

BACKGROUND Secondary thyroid malignancies are rarely reported, especially thyroid metastasis after resection of hepatocellular carcinoma (HCC). We report a patient with thyroid metastasis after resection of HCC. CASE SUMMARY A 42-year-old female underwent partial hepatectomy for HCC three years ago. She attended hospital because of neck discomfort. After various examinations, she was diagnosed with metastatic HCC. She survived after surgical resection of the affected side of the thyroid. CONCLUSION Although secondary malignant tumor of the thyroid is classified as distant metastasis, surgical resection is still necessary according to the patient's condition.

https://doi.org/10.12998/wjcc.v10.i15.5036

Metastasis of liver cancer to the thyroid after surgery: A case report

Background The aim was to evaluate the causes of death for patients with localized, regional and metastatic penile cancer (PeCa) after diagnosis. Methods PeCa patients diagnosed during 2004-2018 in the Surveillance, Epidemiology, and End Results program database were identified. Causes of deaths including PeCa, second malignant tumors (SMTs) and non-tumor diseases were analyzed, as well as the standardized mortality ratio (SMR) of each cause. Results For localized PeCa, 800 of 2155 patients died during the follow-up. 24.9% of all deaths were due to PeCa. 18.0% and 57.1% deaths were due to SMTs and non-tumor causes. Main SMTs included cancers of lung and bronchus (n = 40) and skin (n = 11) with significantly increased SMRs of 1.71 (1.22-2.33) and 4.82 (2.41-8.63). Mortality risks of other SMTs were mostly similar with the general populations. Main causes of non-tumor diseases included diseases of heart [n = 172, SMR: 1.66 (1.42-1.93)], COPD and allied cond [n = 38, SMR: 1.63 (1.15-2.24)], and cerebrovascular diseases [n = 33, SMR: 1.71 (1.17-2.4)]. For regional PeCa, 679 of 1310 patients died including 43.5% PeCa, 14.8% SMTs and 26.6% non-tumor causes. The mortality risks of cancers from lung and bronchus [SMR: 2.41 (1.53-3.62)], skin [SMR: 6.41 (2.35-13.95)] and testis [SMR: 149.35 (18.09-539.5)] were significantly increased. Main non-tumor causes of death included diseases of heart [n = 71, SMR: 1.77 (1.38-2.23)], COPD and allied cond [n = 17, SMR: 1.85 (1.08-2.95)] and diabetes mellitus [n = 16, SMR: 3.62 (2.07-5.88)]. For distant diseases, 109 of 132 patients died including 76 (69.7%) died for PeCa itself, 24 (22.0%) died for SMTs and 9 (8.3%) died for non-tumor diseases. The majority of PeCa deaths (67.1%) and SMTs deaths (79.2%) occurred within 1 year after the diagnosis of PeCa. Conclusions We firstly analyzed the SMTs and non-tumor causes of death and morality risks of each cause for PeCa patients, which provided valuable information for PeCa patients on disease prevention and health care during their survivorship.

Second Malignant Tumors and Non-Tumor Causes of Death for Patients With Penile Cancer During Their Survivorship

Abstract Background The association between sleep quality and benign prostate hyperplasia (BPH) has rarely been studied. The aim of this study was to examine the relationship between sleep quality and BPH among middle-aged and older men in India. Methods This study used data from men over 45 years old in Wave 1 (2017–2018) of the Longitudinal Aging Study in India (LASI). Benign prostate hyperplasia was self-reported, and sleep symptoms were assessed using five questions modified from the Jenkins Sleep Scale. A total of 30,909 male participants were finally included. Multivariate logistic regression analysis, subgroup analysis, and interaction tests were performed. Results Total 453 (1.49%) men reported benign prostatic hyperplasia and have higher sleep quality score (9.25 ± 3.89 vs. 8.13 ± 3.46). The results revealed that the sleep quality score and risk of benign prostatic hyperplasia were significantly correlated after adjusting for all confounding factors (OR:1.057, 95% CI: 1.031–1.084, p &lt; 0.001]. After dividing people into four groups based on the quartile of sleep quality scores, compared with the first quartile group, the third quartile group was 1.32 times, and the fourth quartile group was 1.615 times more likely to develop benign prostate hyperplasia. A significant interaction effect of alcohol consumption was observed. (p for interaction &lt; 0.05). Conclusion Worse sleep quality was significantly associated with a higher incidence of benign prostatic hyperplasia among middle-aged and older Indian men. A further prospective study is needed to clarify this association and explore potential mechanisms. 

/pdf/association-between-sleep-quality-and-benign-prostate-3gxk9gw7.pdf

Association between sleep quality and benign prostate hyperplasia among middle-aged and older men in India

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Kai Ma

Author Tools

Chat about Author