Beyond the Surface: Tracing the Evolution of Inflammatory Mechanism in Depression through Bibliometric Analysis.

Background: Depression is a common mental illness that has become a major economic burden worldwide. Recently, increasing evidence has highlighted the inflammatory mechanism of depression. In order to understand the research status of this field, this study used the bibliometric analysis method to overview the research content and progress, as well as analyze the development trend and limitations.

Construction of prediction model of early glottic cancer based on machine learning.

Background: The early diagnosis of glottic laryngeal cancer is the key to successful treatment, and machine learning (ML) combined with narrow-band imaging (NBI) laryngoscopy provides a new idea for the early diagnosis of glottic laryngeal cancer.

Objective: To explore the clinical applicability of the diagnosis of early glottic cancer based on ML combined with NBI.

Material And Methods: A retrospective study was conducted on 200 patients diagnosed with laryngeal mass, and the general clinical characteristics and pathological results of the patients were collected.

[The 510th case: fever of unknown origin, acute kidney injury].

A 65-year-old male was admitted to Peking Union Medical College Hospital. The patient had intermittent fever for 2 months with a maximum body temperature of 39.3 ℃ and elevated serum creatinine levels for 1 week.

Relationship between cognitive impairment and hippocampal iron overload: a quantitative susceptibility mapping study of a rat model.

Background: The aim of this study was to establish an iron overload rat model to simulate the elevated iron levels in patients with thalassemia and to investigate the potential association between hippocampal iron deposition and cognition.

Methods: Two groups of iron overloaded rats and one group of control rats were used for this study. The Morris water maze (MWM) was used to test spatial reference memory indicated by escape latency time and number of MWM platform crossings.

Characterization of the differences in lipid profiles and volatile compounds of adipose stem cells adipogenic differentiation and adipocytic transdifferentiation of muscle stem cells from large yellow croakers based on UPLC-MS/MS and GC-IMS.

Lipids contribute significantly to the flavor of cell-cultured fish meat as precursor components of flavor compounds. Here, we initially reported the differences in lipid metabolite profiles and volatile compounds between adipogenic differentiation of adipose stem cells (ASCs) and adipocytic transdifferentiation of muscle stem cells (MSCs) from large yellow croakers. A total of 2106 lipid metabolites were identified by UPLC-MS/MS.