This study aims to explore the pharmacodynamic material basis of Jinbei Oral Liquid(JBOL) against idiopathic pulmonary fibrosis(IPF) based on serum pharmacochemistry and network pharmacology. The ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UHPLC-Q-TOF-MS/MS) technology was employed to analyze and identify the components absorbed into rat blood after oral administration of JBOL. Combined with network pharmacology, the study explored the pharmacodynamic material basis and potential mechanism of JBOL against IPF through protein-protein interaction(PPI) network construction, "component-target-pathway" analysis, Gene Ontology(GO) functional enrichment, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis. First, a total of 114 compounds were rapidly identified in JBOL extract according to the exact relative molecular mass, fragment ions, and other information of the compounds with the use of reference substances and a self-built compound database. Second, on this basis, 70 prototype components in blood were recognized by comparing blank serum with drug-containing serum samples, including 28 flavonoids, 25 organic acids, 4 saponins, 4 alkaloids, and 9 others. Finally, using these components absorbed into blood as candidates, the study obtained 212 potential targets of JBOL against IPF. The anti-IPF mechanism might involve the action of active ingredients such as glycyrrhetinic acid, cryptotanshinone, salvianolic acid B, and forsythoside A on core targets like AKT1, TNF, and ALB and thereby the regulation of multiple signaling pathways including PI3K/AKT, HIF-1, and TNF. In conclusion, JBOL exerts the anti-IPF effect through multiple components, targets, and pathways. The results would provide a reference for further study on pharmacodynamic material basis and pharmacological mechanism of JBOL.
Drugs, Chinese Herbal/pharmacokinetics* ; Animals ; Tandem Mass Spectrometry ; Network Pharmacology ; Rats ; Chromatography, High Pressure Liquid ; Rats, Sprague-Dawley ; Male ; Idiopathic Pulmonary Fibrosis/metabolism* ; Humans ; Administration, Oral ; Protein Interaction Maps/drug effects* ; Signal Transduction/drug effects*

Ureaplasma urealyticum (UU) is one of the most commonly occurring pathogens associated with genital tract infections in infertile males, but the impact of seminal UU infection in semen on intrauterine insemination (IUI) outcomes is poorly understood. We collected data from 245 infertile couples who underwent IUI at The First Affiliated Hospital of USTC (Hefei, China) between January 2021 and January 2023. The subjects were classified into two groups according to their UU infection status: the UU-positive group and the UU-negative group. We compared semen parameters, pregnancy outcomes, and neonatal birth outcomes to investigate the impact of UU infection on IUI outcomes. There were no significantly statistical differences in various semen parameters, including semen volume, sperm concentration, total and progressive motility, sperm morphology, leukocyte count, the presence of anti-sperm antibody, and sperm DNA fragmentation index (DFI), between the UU-positive and UU-negative groups of male infertile patients (all P > 0.05). However, the high DNA stainability (HDS) status of sperm differed between the UU-positive and UU-negative groups, suggesting that seminal UU infection may affect sperm nuclear maturation ( P = 0.04). Additionally, there were no significant differences in pregnancy or neonatal birth outcomes between the two groups (all P > 0.05). These results suggest that IUI remains a viable and cost-effective option for infertile couples with UU infection who are facing infertility issues.
Humans ; Male ; Ureaplasma Infections/complications* ; Female ; Infertility, Male/therapy* ; Ureaplasma urealyticum/isolation & purification* ; Pregnancy ; Adult ; Pregnancy Outcome ; Semen Analysis ; Insemination, Artificial ; Semen/microbiology* ; China

Hypothermia is a clinical syndrome characterized by core body temperature<35℃,caused by significant heat loss from body surface in cold environment.As a systemic cold injury,it can be lethal if treatment is delayed.Emergent diagnosis and treatment of hypothermia are expected to improve the prognosis of patients.In 2005,the U.S.Army Research Institute of Environmental Medicine(USARIEM)issued guidelines for the prevention and management of cold injuries,but there has been no corresponding standard in China.Therefore,Emergency Branch of Chinese Medical Rescue Association,Emergency Medical Equipment Society of China Association of Medical Equipment,Integrated Rehabilitation Medical Branch of Chinese Medical Rescue Association,and Pre-Hospital Emergency Care Working Committee of Chinese Aging Well Association jointly developed the Chinese Expert Consensus on Emergent Treatment of Hypothermia(2025 edition).The consensus covers the pathophysiology,etiology and epidemiology,diagnosis and severity grading,prehospital treatment,and in-hospital treatment of hypothermia,including 15 recommendations in total,aiming to provide guidance for the relevant clinical rescue work.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Hypothermia is a clinical syndrome characterized by core body temperature<35℃,caused by significant heat loss from body surface in cold environment.As a systemic cold injury,it can be lethal if treatment is delayed.Emergent diagnosis and treatment of hypothermia are expected to improve the prognosis of patients.In 2005,the U.S.Army Research Institute of Environmental Medicine(USARIEM)issued guidelines for the prevention and management of cold injuries,but there has been no corresponding standard in China.Therefore,Emergency Branch of Chinese Medical Rescue Association,Emergency Medical Equipment Society of China Association of Medical Equipment,Integrated Rehabilitation Medical Branch of Chinese Medical Rescue Association,and Pre-Hospital Emergency Care Working Committee of Chinese Aging Well Association jointly developed the Chinese Expert Consensus on Emergent Treatment of Hypothermia(2025 edition).The consensus covers the pathophysiology,etiology and epidemiology,diagnosis and severity grading,prehospital treatment,and in-hospital treatment of hypothermia,including 15 recommendations in total,aiming to provide guidance for the relevant clinical rescue work.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Pregnancy predisposes to various oral diseases,which can compromise the health of both the pregnant woman and the fe-tus.Management of these diseases often entails both local and systemic anti-infective treatments,which may involve complex medication practices.There is a prevalent concern among pregnant women regarding the potential effects of local anesthetics,antibiotics and other pharmacological agents on fetal health.Dentists should comprehend the drug indications and their safe usage boundaries to formulate ef-fective systematic strategies and clinical management protocols.The rational use of medications should not be precluded.Effective treat-ment should be administered to prevent adverse outcomes.This article reviews the safety of commonly used local and systemic oral med-ications during pregnancy and aims to offer appropriate therapeutic approaches for managing oral diseases in this population.

Objective Pancreatic cancer(PC)is a malignant tumor of the digestive tract that is difficult to diagnose early,easily metastasizes and relapses,and resistant to conventional chemotherapy.PC is a very difficult disease to treat.The key regulatory factors of PC resistance,such as epithelial-mesenchymal transition phenotypic cells,tumor stem cells,and miRNAs,have been reviewed in the past few years,and some new regulatory factors have been discovered as supplements.This review mainly focuses on the characteristics and properties of the key regulatory factors of PC chemotherapy resistance including long noncoding RNAs,nuclear factor KB and exosomes,drug resistance mechanisms,and treatment related strategies,and future treatment directions were predicted.

OBJECTIVES: To evaluate the clinical effectiveness of integrated management during the perinatal period for fetuses diagnosed with total anomalous pulmonary venous connection (TAPVC) by prenatal echocardiography. METHODS: Clinical data of 64 cases of TAPVC fetuses diagnosed by prenatal echocardiography and managed with integrated perinatal care in Qingdao Women and Children's Hospital from January 2017 to December 2021 were retrospectively analyzed. Integrated perinatal care included multidisciplinary collaboration among obstetrics, fetal medicine, ultrasound, pediatric cardiology, pediatric anesthesia, and neonatology. RESULTS: Among the 64 TAPVC fetuses, there were 29 cases of supracardiac type, 27 cases of intracardiac type, 2 cases of infracardiac type, and 6 cases of mixed type. Chromosomal analysis was performed in 42 cases, and no obvious abnormalities were found. Among the 64 TAPVC fetuses, 37 were induced labor, and 27 were followed up until term birth. Among the 27 TAPVC cases, 2 cases accepted palliative care, 2 cases were referred to another hospital for treatment and lost to follow-up, while the remaining 23 cases underwent primary repair surgery. One case died within 6 months after the operation due to low cardiac output syndrome, while the other 22 cases were followed up for (2.1±0.3) years with good outcomes (2 cases underwent a second surgery within 1 year after the first operation due to anastomotic stenosis or pulmonary vein stenosis). CONCLUSIONS TAPVC fetuses can achieve good outcomes with integrated management during the perinatal period.
Female ; Humans ; Pregnancy ; Echocardiography ; Heart Defects, Congenital/surgery* ; Pulmonary Veins/surgery* ; Retrospective Studies ; Scimitar Syndrome/surgery* ; Infant, Newborn

AIM To study the chemical constituents from the heartwood of Dalbergia cochinchinensis Pierre ex Laness.METHODS The 70%ethanol extract from the heartwood of D.cochinchinensis was isolated and purified by silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULT Twenty-three compounds were isolated and identified as 3-O-acetylbetulin aldehyde(1),2,2'-oxybis(1,4-di-tert-butylbenzene)(2),ethyl 4-hydroxybenzoate(3),1-acetyl-β-carboline(4),7-hydroxydihydroflavone(5),palmic acid(6),hexadeca-4,7-diene(7),linoleic acid(8),methyl 4-hydroxybenzoate(9),2-(2-hydroxy-1-methyl-2-phenythyl)-4,5-dimethoxyphenol(10),2-methoxy-3-hydroxyxanthone(11),dibutyl terephthalate(12),6,4'-dihydroxy-7-methoxyflavan(13),pteroyanin G(14),benzoic acid,4-ethoxy-2-methoxy-,methyl ester(15),liquiritigenin(16),4,2',5'-trihydroxy-4'-methoxychalcone(17),7-hydroxy-6-methoxyflavone(18),6,4'-dihydroxy-7-methoxyflavone(19),2'-hydroxyformonetin(20),3'-methoxyformonetin(21),3'-hydroxyformonetin(22),6,7,4'-trihydroxyflavanone(23).CONCLUSION Compounds 2,4 are isolated from genus Dalbergia for the first time.Compounds 6-8,19,21 are isolated from this plant for the first time.