Natural Products From Plants Targeting Leptin Resistance for the Future Development of Anti-Obesity Agents.

Obesity is a serious health threat, which has affected 16% of adults globally in 2022 and shows a trend toward youthfulness. Leptin, as a regulator of body weight, can suppress appetite and promote energy expenditure, making it potential in obesity treatment. Nevertheless, with the progress of relevant research, it is worth noting that monotherapy with leptin is not an effective strategy since most obese individuals are hyperleptinemic and resistant to leptin, where high levels of leptin fail to exert its weight-loss effects.

Bioactive microspheres to enhance sonodynamic-embolization-metalloimmune therapy for orthotopic liver cancer.

The development of novel microspheres for the combination of sonodynamic therapy (SDT) with transarterial embolization (TAE) therapy to amplify their efficacy has received increasing attention. Herein, a novel strategy for encapsulating sonosensitizers (e.g.

Association of pre-exiting heart failure with long-term mortality and the recurrence of sepsis.

This retrospective cohort study aimed to evaluate the association between pre-existing heart failure and both mortality and the recurrence of sepsis. A total of 16,092 sepsis patients without a history of heart failure and 841 sepsis patients with pre-existing heart failure were identified from the Medical Information Mart for Intensive Care version IV (MIMIC-IV ) database. All patients were adults admitted to intensive care units, and no specific interventions were applied.

Network characteristics of referrals for chronic disease patients: results from hierarchical medical reform in Shenzhen, China.

Background: The Chinese government has introduced a series of hierarchical medical policies to ensure continuity of care, but referrals remain difficult to implement effectively. This study aimed to evaluate the chronic disease referral network and explore the problems associated with the specific implementation of referrals.

Methods: This study was a repeated cross-sectional study of monthly data collected between August 2017 and December 2023 in Luohu district, Shenzhen, China.

Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China.

Background: Perimembranous ventricular septal defect (PMVSD) is a prevalent congenital heart disease, presenting challenges in predicting spontaneous closure, which is crucial for therapeutic decisions. Existing models mainly rely on structured echocardiographic parameters or restricted data. This study introduces an artificial intelligence (AI)-based model, which uses natural language processing (NLP) and machine learning with the aim of improving spontaneous closure predictability in PMVSD.