The lung collaterals form a network that branches from the lung meridian, traversing the lung system and extending across the body′s surface. Lung collateral disease refers to the structural alterations or dysfunction in these collaterals caused by external or internal pathogens. Research into the structural and physiological functions of children′s lung collaterals, as well as the pathogenesis and syndrome differentiation for treating lung collateral diseases in children, holds significant value in guiding the prevention and treatment of pediatric respiratory conditions. Drawing on the theory of collateral disease, the clinical insights of both historical and contemporary physicians, and modern research findings—while considering the unique physiological and pathological characteristics of children′s respiratory systems—this study provides a foundational summary of the morphology and spatial distribution of children′s lung collaterals. The characteristics of these collaterals are highlighted as thin, sparse, short, narrow, brittle, and tender. From this structural understanding, the unique physiological functions of children′s lung collaterals are analyzed. The study further explores the interactions between pathogenic factors and lung collaterals, elucidating the pathogenesis and progression of children′s lung collateral diseases. It proposes treatment principles centered on "seeking treatment in the collaterals and employing the method of unblocking collaterals, "which align with the unique features of pediatric lung collaterals. Common treatment approaches, and relevant prescriptions for managing these diseases are summarized. This paper lays the foundation for a theoretical system encompassing the structure, function, pathogenesis, and syndrome differentiation for treating children′s lung collateral diseases. It offers valuable insights for the clinical diagnosis and management of pediatric respiratory diseases linked to collateral dysfunction and serves as a reference for the systematic development of a broader theoretical framework for children′s collateral diseases.

Dysregulated RNA splicing is a well-recognized characteristic of colorectal cancer (CRC); however, its intricacies remain obscure, partly due to challenges in profiling full-length transcript variants at the single-cell level. Here, we employ high-depth long-read scRNA-seq to define the full-length transcriptome of colorectal epithelial cells in 12 CRC patients, revealing extensive isoform diversities and splicing alterations. Cancer cells exhibited increased transcript complexity, with widespread 3'-UTR shortening and reduced intron retention. Distinct splicing regulation patterns were observed between intrinsic-consensus molecular subtypes (iCMS), with iCMS3 displaying even higher splicing factor activities and more pronounced 3'-UTR shortening. Furthermore, we revealed substantial shifts in isoform usage that result in alterations of protein sequences from the same gene with distinct carcinogenic effects during tumorigenesis of CRC. Allele-specific expression analysis revealed dominant mutant allele expression in key oncogenes and tumor suppressors. Moreover, mutated PPIG was linked to widespread splicing dysregulation, and functional validation experiments confirmed its critical role in modulating RNA splicing and tumor-associated processes. Our findings highlight the transcriptomic plasticity in CRC and suggest novel candidate targets for splicing-based therapeutic strategies.
Humans ; Colorectal Neoplasms/metabolism* ; RNA Isoforms/metabolism* ; Single-Cell Analysis ; RNA Splicing ; Gene Expression Regulation, Neoplastic ; RNA, Neoplasm/metabolism* ; Transcriptome

Benzylisoquinoline alkaloids (BIAs) are a structurally diverse group of plant metabolites renowned for their pharmacological properties. However, sustainable sources for these compounds remain limited. Consequently, researchers are focusing on elucidating BIA biosynthetic pathways and genes to explore alternative sources using synthetic biology approaches. CYP80B, a family of cytochrome P450 (CYP450) enzymes, plays a crucial role in BIA biosynthesis. Previously reported CYP80Bs are known to catalyze the 3'-hydroxylation of (S)-N-methylcoclaurine, with the N-methyl group essential for catalytic activity. In this study, we successfully cloned a full-length CYP80B gene (StCYP80B) from Stephania tetrandra (S. tetrandra) and identified its function using a yeast heterologous expression system. Both in vivo yeast feeding and in vitro enzyme analysis demonstrated that StCYP80B could catalyze N-methylcoclaurine and coclaurine into their respective 3'-hydroxylated products. Notably, StCYP80B exhibited an expanded substrate selectivity compared to previously reported wild-type CYP80Bs, as it did not require an N-methyl group for hydroxylase activity. Furthermore, StCYP80B displayed a clear preference for the (S)-configuration. Co-expression of StCYP80B with the CYP450 reductases (CPRs, StCPR1, and StCPR2), also cloned from S. tetrandra, significantly enhanced the catalytic activity towards (S)-coclaurine. Site-directed mutagenesis of StCYP80B revealed that the residue H205 is crucial for coclaurine catalysis. Additionally, StCYP80B exhibited tissue-specific expression in plants. This study provides new genetic resources for the biosynthesis of BIAs and further elucidates their synthetic pathway in natural plant systems.
Cytochrome P-450 Enzyme System/chemistry* ; Benzylisoquinolines/chemistry* ; Hydroxylation ; Plant Proteins/chemistry* ; Alkaloids/metabolism* ; Stephania tetrandra/genetics*

Cancer is one of the leading causes of morbidity and mortality worldwide. Due to population aging, lifestyle variation and other factors, the morbidity and mortality of cancer continue to rise in China, resulting in a serious public health problem threating people's health. In response to this increasingly serious problem, tremendous efforts have been made in China, including the development of a series of policies and measures for specific needs of cancer prevention and treatment. Currently, China's strategy to reduce the disease burden of cancer mainly focuses on primary and secondary prevention. This paper summarizes the current status of disease burden of cancer and the performance of three-grade cancer prevention in China.

Objective:To explore the value of predicting new-onset heart failure events in patients with hypertrophic cardiomyopathy (HCM) using clinical and cardiac magnetic resonance (CMR) features based on machine learning algorithms.Methods:The study was a retrospective cohort study. Patients with a confirmed diagnosis of HCM who underwent CMR examinations at Beijing Anzhen Hospital from May 2017 to March 2021 were selected and randomly divided into the training set and the validation set in a ratio of 7∶3. Clinical data and CMR parameters (including conventional parameters and radiomics features) were collected. The endpoint events were heart failure hospitalization and heart failure death, with follow-up ending in January 2023. Features with high stability and P value<0.05 in univariate Cox regression analysis were selected. Subsequently, three machine learning algorithms—random forest, decision tree, and XGBoost—were used to build heart failure event prediction models in the training set. The model performance was then evaluated using the independent validation set, with the performance assessed based on the concordance index. Results:A total of 462 patients were included, with a median age of 51 (39, 62) years, of whom 332 (71.9%) were male. There were 323 patients in the training set and 139 in the validation set. The median follow-up time was 42 (28, 52) months. A total of 44 patients (9.5% (44/462)) experienced endpoint events (8 cases of heart failure death and 36 cases of heart failure hospitalization), with 31 events in the training set and 13 in the validation set. Univariate Cox regression analysis identified 39 radiomic features, 4 conventional CMR parameters (left ventricular end-diastolic volume index, left ventricular end-systolic volume index, left ventricular ejection fraction, and late gadolinium enhancement ratio), and 1 clinical feature (history of non-sustained ventricular tachycardia) that could be included in the machine learning model. In the prediction models built with the training set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.966 (95% CI 0.813-0.995), 0.956 (95% CI 0.796-0.992), and 0.973 (95% CI 0.823-0.996), respectively. In the validation set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.854 (95% CI 0.557-0.964), 0.706 (95% CI 0.399-0.896), and 0.703 (95%CI 0.408-0.890), respectively. Conclusion:Integrating clinical and CMR features of HCM patients through machine learning aids in predicting heart failure events, with the random forest model showing superior performance.

Background Patients with post-stroke hemiplegia are likely to experience fatigue and sleep disorder.Attention and interpretation therapy(AIT)has been shown to promote psychological flexibility,thereby alleviating their stress,improving emotional management and somatopsychic adaptation.Currently,there is a lack of application of AIT in patients with post-stroke hemiplegia.Objective To explore the effect of modified AIT on fatigue and sleep quality in patients with post-stroke hemiplegia,so as to provide references for physical and mental rehabilitation nursing of post-stroke hemiplegia patients.Methods A total of 120 patients with post-stroke hemiplegia attending the rehabilitation medicine department of North China University of Science and Technology Affiliated Hospital from August 1,2021 to June 30,2022 and fulfilling the Chinese guidelines for diagnosis and treatment of acute ischemic stroke 2018 and the Chinese guidelines for diagnosis and treatment of acute intracerebral hemorrhage 2019 were enrolled.Patients were assigned into two groups using random number table methods,each with 60 cases.Control group was given chronic illness trajectory model-based nursing,while study group received modified AIT intervention.All participants were evaluated using the Chinese version of Neurological Fatigue Index for Stroke(NFI-Stroke)and Pittsburgh Sleep Quality Index(PSQI)at the baseline,after 4 weeks and 8 weeks of intervention.Results The repeated measures ANOVA on PSQI total score and scores on sleep quality,sleep time,sleep duration,sleep efficiency,sleep disturbance and daytime dysfunction revealed a significant group effect,time effect and interaction effect(Fgroup=4.281,5.598,8.814,4.351,4.302,4.091,7.608,Ftime=122.230,19.698,19.289,16.403,15.421,28.879,90.876,Finteraction=19.508,3.227,11.586,5.237,5.507,5.799,3.338,P<0.05).Significant group effect,time effect and interaction effect were reported on NFI-Stroke total score and scores on physical subscale and cognitive subscale(Fgroup=7.140,5.466,5.547,Ftime=362.192,309.817,70.888,Finteraction=21.079,13.430,13.354,P<0.05).Conclusion Modified AIT may help alleviate fatigue and improve sleep quality in patients with post-stroke hemiplegia.

With the increasing prevalence of diabetes,the prevention and treatment of diabetes nephropathy have become a worldwide problem.The molecular mechanism of the occurrence and development of diabetes nephropathy is still unclear,but many studies in recent years have shown that gut microbiota plays an important role in the progress on diabetes nephropathy.The research progress on the mechanism of gut microbiota participating in diabetes nephropathy was reviewed in this article.

Due to the outstanding hydrophobic and oleophobic properties, per- and polyfluoroalkyl substances (PFAS) are widely used in daily life and frequently detected in the environment. PFAS can enter the human body through water, food, and air exposure and accumulate in the human body. Epidemiological and toxicological evidence suggest that PFAS have endocrine-disrupting properties and may cause thyroid dysfunction by altering the hormonal homeostasis of the thyroid. This in turn affects the body's normal physiological functions, such as the physical growth and neurodevelopment in infants. Pregnancy and early life are special physiological stages, and the special dietary and lifestyle habits of this period make mothers and infants more likely to be exposed to PFAS and more susceptible to PFAS. Therefore, the exposure levels of PFAS and their effects on the thyroid function of mothers and infants were summarized in this review. Possible mechanisms of action by which PFAS may affect thyroid function were also summarized, aiming to provide a theoretical basis for the development of environmental standards and safety limits for PFAS.

Objective: To investigate the changes in the levels of interleukin-6 (IL-6) and let-7e in rats induced by coal mine dust, so as to provide the basis for the mechanism of coal worker's pneumoconiosis (CWP). Methods: Sixty-four clean and healthy male Sprague-Dawley rats were randomly divided into the control group, coal dust group, mixed dust group (mixed coal and silica dust) and quartz group. The rats in the control group were exposed to 1 mL physiological saline by non-exposure tracheal perfusion, and the rats in the dust-exposed groups were exposed to 1 mL dust suspension. Rats were sacrificed by anesthesia after 1 month and 6 months, lung tissue was observed using hematoxylin-eosin staining, the pathological change in the lungs was scored using the Szapiel scoring system, the levels of IL-6 in the bronchoalveolar lavage fluid were detected using enzyme-linked immunosorbent assay, and the expression of let-7e was determined by quantitative real-time PCR. Results: A month after exposure, a small amount of coal spots and inflammatory exudation were observed in the lung tissue of the coal dust group and the mixed dust group. The quartz group showed tissue structure destruction and mild fibrosis and thickening of alveolar septum. Six months after exposure, there were more coal spots and slightly thickened alveolar septum in the coal dust group, and hyperplasia of pulmonary interstitial fibers, destruction of alveolar structure and silica nodules were observed in the mixed dust group. In the quartz group, the alveolar structure was obviously destroyed, the interstitial fiber proliferation was significant and silica nodules were seen. Two-factor analysis of variance showed that the interaction between duration of exposure and dust type significantly influenced the pathological score of lung tissue, IL-6 levels, and let-7e expression levels (P<0.05). Under the same dust type, the pathological score of lung tissue and IL-6 levels were higher at 6 months after exposure than at 1 month, while the relative expression of let-7e was lower at 6 months after exposure than at 1 month (all P<0.05). Under the same duration of exposure, the pathological score of lung tissue and IL-6 levels were higher in the dust-exposed groups than in the control group, while the relative expression of let-7e was lower in the dust-exposed groups than in the control group (all P<0.05). Conclusions Coal dust can cause an increase in levels of IL-6 and a decrease in let-7e expression in rats. The type of dust and duration of exposure can interactively affect IL-6 and let-7e.