It is proposed that cold qi-induced accumulation encapsulates the core pathogenesis of the inflammation-cancer transformation in inflammatory bowel disease （IBD）. Cold pathogens may serve as the initiating factor. When first invading the intestines， cold pathogens obstruct the flow of qi； over time， the lingering cold impairs the middle jiao （焦）， eventually leading to the accumulation of cold-phlegm and blood stasis. Based on the progressive nature of this transformation， the process can be divided into three stages， active stage， remission stage， and carcinogenic stage. In the active stage， the main pathogenesis involves stagnation of cold qi and accumulation of damp-heat in the intestines； in the remission stage， cold qi impairs the spleen， disrupting its transport and transformation functions； and in the carcinogenic stage， the mechanisms include cold-induced accumulation， phlegm accumulation from cold， and stagnation of cold and blood stasis. Accordingly， the treatment strategies are proposed.In the active stage， regulating qi， relieving stagnation， and harmonizing cold and heat； in the remission stage， warming yang， dispersing cold， tonifying qi， and strengthening the spleen； and in the carcinogenic stage， promoting qi circulation， dispersing cold， resolving phlegm， activating yang， and eliminating stasis to remove accumulation. These approaches aim to interrupt the transformation of IBD into colorectal cancer.

ObjectiveThis study aims to reveal the mechanism of liver and kidney injuries caused by Dictamni Cortex and its interrelationship by metabonomics analysis of liver and kidney via ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）. MethodsThe content of the marker compounds of Dictamni Cortex was measured by high-performance liquid chromatography （HPLC） to carry out quality control. Sprague Dawley （SD） rats were randomly divided into a blank group （normal saline）， an administration group （0.9， 2.7， 8.1 g·kg^-1）， and a high-dose withdrawal control group， with eight rats in each group. Continuous administration was performed once daily for 28 days. The liver and kidney injuries caused by each administration group were assessed by organ indices， pathological observations， and serum and plasma biochemical indices measured by enzyme-linked immunosorbent assay （ELISA）. The potential biomarkers of liver and kidney injuries caused by Dictamni Cortex were screened， and pathway enrichment analysis and correlation analysis were performed based on UPLC-Q-TOF-MS. ResultsCompared with the blank group， both the medium- and low-dose groups showed insignificant damage to the liver and kidney of rats. The high-dose group exhibited the most serious damage， and the level of liver and kidney function indices ［alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， creatinine （Cr）， and blood urea nitrogen （BUN）］ and serum inflammatory indices （［interleukin 1β （IL-1β）， IL-6， and tumor necrosis factor-α （TNF-α）］ in the serum were significantly changed （P<0.01）. The liver and kidney metabolism pathways and differential metabolites were quite different. Among them， phenylalanine metabolism， niacin and nicotinamide metabolism， and glycerophospholipid metabolism were common pathways. Correlation analysis of differential metabolites showed that there were significant correlations among disorders of 4′-Phosphopantothenoylcysteine， PC （16∶0/15∶0）， phenylethylamine， arachidonic acid， and linoleic acid in liver and kidney tissue. ConclusionThe decoction of Dictamni Cortex can cause liver and kidney injuries， and its mechanism may be related to oxidative stress and lipid metabolism disorders. The correlation of differential metabolites indicates the interaction between liver and kidney injuries.

ObjectiveTo explore the mechanism of the immunotoxicity induced by dictamnine （DIC） in rats and the recovery effect after drug withdrawal by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry， thereby providing a theoretical basis for elucidating the toxic mechanism of DIC. MethodsSD rats were randomized into blank （normal saline）， DIC （10 mg·kg^-1）， and DIC withdrawal （recovery period） groups （n=8）. The rats were continuously treated for 7 days， once a day， and the body weight and organ weight were recorded. The levels of interleukin-1 （IL-1）， IL-6， and tumor necrosis factor-α （TNF-α） in the serum and immunoglobulin A （IgA）， immunoglobulin G （IgG）， and immunoglobulin M （IgM） in the spleen were determined by enzyme-linked immunosorbent assay. Hematoxylin-eosin staining was used to observe the pathological changes in the spleen. ultra performance liquid chromatography quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS） was employed to screen the potential biomarkers of immune inflammation caused by DIC， and pathway enrichment analysis and correlation analysis were performed. The mRNA levels of IL-1β， TNF-α， lysophosphatidylcholine acyltransferase 2 （LPCAT2）， and farnesoid X receptor （FXR） in the serum were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， the DIC group showed elevated levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）， and the DIC withdrawal group showcased lowered levels of IL-1β， IL-6， and TNF-α in the serum （P<0.01）. The levels of IgA， IgG， and IgM in the spleen of rats in the DIC group were decreased （P<0.01）， while those in the DIC withdrawal group were recovered （P<0.05， P<0.01）. Untargeted metabolomics of the serum and spleen screened out 14 common differential metabolites and 14 common metabolic pathways. The Spearman correlation analysis between differential metabolites and inflammatory factors identified PC （32∶0）， LysoPC （20∶4/0∶0）， LysoPC （P-18∶0/0∶0）， taurochenodeoxycholic acid， taurocholic acid， LysoPC ［20∶5（5Z，8Z，11Z，14Z，17Z）/0∶0］， chenodeoxycholic acid， arachidonic acid， LysoPC （18∶0/0∶0）， LysoPC （15∶0/0∶0）， LysoPC （16∶0/0∶0）， and LysoPC （17∶0/0∶0） as the biomarkers of immunotoxicity induced by DIC in SD rats. In the process of immunotoxicity caused by DIC， lipid metabolism disorders such as glycerophospholipid metabolism， primary bile acid metabolism， and arachidonic acid metabolism were enriched， which was consistent with the DIC-induced inflammatory factors and pathological characteristics of the spleen. Compared with the blank group， the DIC group exhibited up-regulated mRNA levels of IL-1β， TNF-α， LPCAT2， and FXR （P<0.01）， and the up-regulation was decreased in the withdrawal group （P<0.01）. ConclusionDIC can lead to immune and inflammatory disorders. DIC withdrawal can regulate the expression of biomarkers related to serum and spleen metabolites， regulate the inflammatory metabolic pathway， reduce the inflammation level， and alleviate the metabolic disorders， thus attenuating the potential toxicity induced by DIC.

Irritable bowel syndrome(IBS)is one of the most common functional gastrointestinal disorders,of which diarrhea-predominant IBS(IBS-D)accounts for the largest proportion.The pathogenesis of IBS-D is complicated and diverse,and there is currently a lack of clinically effective drugs.The establishment of animal models is an essential tool for further studies of the disease mechanisms,evaluation of clinical efficacy,and drug development,and the preparation and evaluation standards of models are important factors affecting the quality of the research.Based on the currently accepted pathogenesis of IBS-D and the previous modeling experience of our research group,this review systematically summarizes the evaluation method used in animal models of IBS-D in terms of diarrhea observation,visceral sensitivity tests,and intestinal motility tests,to provide a reference for future studies.

The 2024 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held in San Francisco, the USA from January 18th to 20th, 2024 (local time). The multiple studies presented in this symposium will have a significant impact on the clinical practice of esophageal cancer. This article will focus on the surgical methods of esophageal cancer, perioperative immunotherapy, drug therapy for advanced esophageal cancer, rescue treatment after immunotherapy resistance, and other relevant aspects. It aims to summarize and interpret the significant advancements in the field of esophageal cancer presented in this symposium.

BACKGROUND:Scaffold materials serve as platforms that provide space and structure,playing a crucial role in the regeneration of cartilage tissue.Scholars from around the world are exploring different approaches to fabricate more ideal scaffold materials. OBJECTIVE:To review the design principles and preparation methods of cartilage scaffolds,and to further explore the advantages and limitations of various preparation methods. METHODS:Literature searches were conducted on the databases of CNKI,WanFang Data,PubMed,and FMRS from 1998 to 2023.The search terms were"cartilage repair,cartilage tissue engineering,cartilage scaffold materials,preparation"in Chinese and English.A total of 57 articles were ultimately reviewed. RESULTS AND CONCLUSION:(1)The articular cartilage has a unique structure and limited self-repair capacity after injury.Even if self-repair occurs,the newly formed cartilage is typically fibrocartilage,which is far inferior to normal articular cartilage in terms of structure and mechanical properties.It is difficult to maintain normal function and often leads to degenerative changes.Currently,the design and fabrication of scaffold materials for cartilage repair need to consider the following aspects:biocompatibility and biodegradability,suitable pore structure and porosity,appropriate mechanical properties,and bioactivity.(2)Research on the preparation of cartilage scaffolds has made significant progress,continuously introducing new preparation methods and optimization strategies.These methods have their advantages and disadvantages,providing more possibilities for customized preparation and functional design of cartilage scaffolds according to specific requirements.

Orchitis is a common male genitourinary disorder that significantly impacts patients' life quality.Current treatment strategies have certain limitations and side effects.Ongoing therapeutic strategies focus on the interactions and regulatory networks among pathways and factors involved in the progression of orchitis.The targeted pharmacological agents include inflammatory pathways (p38MAPK, NF-κB, PI3K/Akt), cytokines (TNF-α, IL-6), and the nitric oxide synthase (NOS) system.However, these studies are currently at the animal research stage, and further clinical investigations are necessary to validate their efficacy and safety before clinical use.This article reviews the preclinical animal studies on new treatment methods of orchitis from the aspects of autoimmunity and exogenous microorganism induction, including ketotifen furmarate, aspirin, L-NAME, activin A, cortisol, melatonin, methane, long non-coding RNA MEG3, Abaloparatide, recombinant type Ⅰ interferon, and so on.

Membrane-bound organelles as well as membrane-free compartments exist in eukaryotic cells, which divide the nucleus and cytoplasm into distinct subregions and allow specific biochemical reactions to occur. The physiological mechanisms of membrane-bound organelles have been extensively characterized, but the formation and function of membrane-free compartments have not been thoroughly studied. Over the past decade, significant progress had been made in the studies about the role of liquid-liquid phase separation (LLPS) in the formation of membrane-free organelles. LLPS which serves as an aggregated separation mechanism for cellular biochemical reactions, is associated with a variety of physiological processes such as signal transduction and gene transcriptional regulation; while aberrant LLPS may contribute to the occurrence of developmental diseases. The present review investigates the role of LLPS as a mechanism of aggregation and segregation of cellular biochemical responses. The mechanisms of LLPS development and recent advances in the relationships between aberrant LLPS and developmental diseases are forward discussed, as well as how these advances may aid in the development of LLPS-based therapies.

Objective:To investigate the current comorbidity status among hypertension, diabetes, and dyslipidemia in residents aged 35-75 years in Tianjin and to explore the main influencing factors to provide a scientific basis for the prevention and treatment of chronic disease comorbidity.Methods:From June 2019 to November 2023, 10 districts (Hedong, Hexi, Dongli, Beichen, Nankai, Xiqing, Wuqing, Baodi, Jizhou, and Binhai New District) in Tianjin were selected as the project sites. The community and natural village was used as the primary sampling unit, and each project site selected the screening sites by cluster random sampling method. Residents aged 35-75 who lived in the screening sites for 6 months and above were surveyed by questionnaire, physical examination, and biochemical tests. The chi-square test, analysis of variance, and multivariate unconditional logistic regression analysis were used for statistical analysis. Age-standardized prevalence was based on the data of the sixth national census.Results:A total of 146 832 participants were included in this study, including 61 994 males (42.22%) and 84 838 females (57.78%), with an age of (56.83±8.84) years. The number of people with only one disease was 55 485 (37.79%), the number of people with two diseases was 36 942 (25.16%), and the number of people with three diseases was 9 683 (6.59%). The prevalence of hypertension combined with dyslipidemia was the highest (17.23%), and the standardized prevalence were 14.44%. The prevalence rates of three diseases and hypertension combined with diabetes was 6.59% and 4.98%, respectively, and the standardized prevalence was 5.42% and 4.11%, respectively. The prevalence of diabetes combined with dyslipidemia was 2.95%, and the standardized prevalence was 2.45%. Multivariate unconditional logistic regression analysis showed that advanced age (65- 75 years old: OR=2.69, 95% CI: 2.28-3.18), overweight/obesity (overweight: OR=2.21, 95% CI: 2.02-2.41; obesity: OR=4.50, 95% CI: 4.03-5.02), daily smoking ( OR=1.96, 95% CI: 1.72-2.24), regular and heavy drinking ( OR=1.63, 95% CI: 1.18-2.27), family history of hypertension/diabetes/hyperlipidemia (family history of hypertension: OR=81.17, 95% CI: 74.68-88.22; family history of diabetes: OR=15.26, 95% CI: 13.71-16.99; family history of hyperlipidemia: OR=7.13, 95% CI: 5.92-8.59), tea drinking (occasional tea drinking group: OR=1.74, 95% CI: 1.52-2.00; frequent tea drinking group: OR=2.23, 95% CI: 1.92-2.59) were risk factors for the comorbidity of hypertension, diabetes and dyslipidemia (all P<0.05), while higher education level was a protective factor (senior high school/technical secondary school: OR=0.79, 95% CI: 0.72-0.86; college/bachelor's degree and above: OR=0.60, 95% CI: 0.53-0.68, all P<0.001). Conclusions:The comorbidity rate of hypertension, diabetes, and dyslipidemia is high in residents aged 35-75 years in Tianjin. It is necessary to strengthen the co-management of blood pressure, blood glucose, and blood lipid in key populations with old age, overweight/obesity, junior high school education or below, daily smoking, daily drinking, occasional or frequent tea drinking, and family history of hypertension/diabetes/dyslipidemia, and promote a healthy lifestyle.

OBJECTIVE: To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. METHODS: Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. RESULTS: (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. CONCLUSIONS The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.
Adult ; Humans ; Big Data ; Emergency Service, Hospital ; Triage/methods* ; Intensive Care Units ; Hospitalization ; Retrospective Studies