BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

Ganoderic acid is a class of lanostane-type triterpenoids found in Ganoderma species, and is one of the most important pharmacologically active components in G. lucidum, exhibiting antioxidant, anti-neuropsychiatric, anti-tumor, and immune-enhancing properties. The content of ganoderic acid in G. lucidum is very low, and the traditional extraction process is complex, yielding minimal amounts at high cost. The biosynthetic pathway of G. lucidum triterpenoids(GLTs), including the synthesis of different structural forms of ganoderic acid from lanosterol, as well as the molecular regulatory mechanisms involving key regulatory enzyme genes and their functions, are not yet fully understood. With the continuous development of synthetic biology technologies, there has been a deeper understanding of the biosynthesis and metabolic regulation pathways of ganoderic acid and its derivatives at the molecular level. Research has explored the key regulatory enzyme genes related to ganoderic acid biosynthesis and their functions. Moreover, through the optimization of synthetic biology and culture conditions, large-scale production and preparation of GLTs at the cellular level have been achieved. This paper reviews and analyzes the latest research progress on the biosynthesis pathways and metabolic regulation of GLTs, focusing on the configuration of ganoderic acid and its derivatives, the biosynthetic pathways, key enzyme genes, transcription factors related to ganoderic acid biosynthesis, signal transduction mechanisms, and factors affecting triterpenoid biotransformation. This review is expected to provide a theoretical basis and technical reference for improving the efficient production of triterpenoid pharmacological components and the exploitation and utilization of G. lucidum resources.
Triterpenes/chemistry* ; Reishi/chemistry* ; Biosynthetic Pathways ; Lanosterol

OBJECTIVE: To retrospectively analyze the genetic differences of thalassemia gene mutations among ethnic groups in Hechi, Guangxi. METHODS: A total of 15 595 whole blood samples of residents of Hechi from January 1, 2020 to June 30, 2023 were screened for thalassemia, and the Gap-PCR method and RDB-PCR method were used to perform genetic testing on the positive samples. Gene sequencing was performed on the samples with positive screening results but negative genotyping results. RESULTS: Among the 15 595 samples, 10 501 cases were screened positively, and 8 506 cases were thalassemia gene carriers among the positive samples, with a positive coincidence rate of 81.00%. Among them, there were 5 374 cases of α-thalassemia, 2 531 cases of β-thalassemia, and 601 cases of α+β compound thalassemia. A total of 13 mutant types were detected in α-thalassemia, including --^SEA (48.57%), -α ^3.7 (31.31%), α ^CS (8.57%) and -α ^4.2 (8.07%). A total of 17 mutant types were detected in β-thalassemia, mainly CD17 (48.27%) and CD41-42 (41.24%). The thalassemia gene carriers were mainly from the Zhuang (6 106 cases), Han (969 cases), Yao (793 cases), Mulam (275 cases), and Maonan (228 cases) ethnic groups. The comparison of constituent ratios within the above five ethnic groups demonstrated that there were differences in the proportions of -- ^SEA, -α ^3.7, α ^CS , and -α ^4.2 among the Zhuang, Han, and Yao ethnic groups (P < 0.005). The proportion of α ^CS in the Mulam ethnic group was not significantly different from -α ^3.7 and -α ^4.2. The proportions of -- ^SEA, -α^3.7, and α ^CS in the Maonan ethnic group were not significantly different. There were no significant differences in the proportion of CD17 and CD41-42 among the Han, Yao, Mulam and Maonan ethnic groups. The proportion of --^SEA was the highest in the Mulam ethnic group (56.68%), which was statistically different from 35.92% in the Maonan ethnic group. The proportion of -α ^3.7 was the highest in the Zhuang ethnic group (33.25%), and the difference was statistically significant compared to the Mulam ethnic group which had the lowest proportion (18.72%). The proportion of α ^CS was the highest in the Maonan ethnic group (27.46%), and the differences were statistically significant compared with other ethnic groups. The proportions of CD17 in the Zhuang and Maonan ethnic groups (50.79%, 55.68%) were higher than those in the Han (39.12%), Yao (39.63%) and Mulam (30.00%), and the differences were statistically significant. There was no significant difference in the proportion of CD41-42 among the above five ethnic groups. CONCLUSIONS The mutation type and distribution differences of genes causing thalassemia among main ethnic groups in the minority inhabited areas of Hechi, Guangxi, show the characteristics of ethnic differentiation. The result is helpful to develop a special prevention and control plan for thalassemia in line with the population distribution characteristics, and provide reference for revealing the genetic background and geographical distribution of thalassemia in this area.
Humans ; China ; beta-Thalassemia/genetics* ; Ethnicity/genetics* ; alpha-Thalassemia/genetics* ; Mutation ; Genotype ; Retrospective Studies ; Asian People/genetics* ; Thalassemia/genetics* ; Male

[This corrects the article DOI: 10.11909/j.issn.1671-5411.2017.08.005.].

After entering the body from the drug delivery site, antitumor nanomedicines need to cross a series of physiopathological barriers to reach the target site of action to effectively exert antitumor therapeutic effects. The ligand modification strategy is a classic method to enhance the efficiency of nanomedicine delivery in vivo, but the contradiction between the single ligand modification strategy, which is characterized by unity and stage, and the in vivo delivery process, which is characterized by versatility and whole-process characteristics, determines that nanomedicines modified by a single ligand alone cannot satisfy the target efficacy requirements. Therefore, the use of multiligand combinatorial modification strategies by virtue of nanomedicine surface area advantages is key to advancing the next generation of smart nanomedicines. In this paper, on the basis of summarizing and classifying the commonly used functional ligands for in vivo delivery, the advantages and research progress of multiligand combination modification of antitumor nanomedicines are discussed with special focus, and the multiligand combination modification is classified as synergistic and complementary according to the combination of the ligands, which is of great significance to ensure that antitumor nanomedicines can overcome the multiple physiopathological barriers to achieve precise delivery.

Objective This study aimed to clarify the intervention effect of salidroside(SAL)on lung injury caused by PM2.5 in mice and illuminate the function of SIRT1-PGC-1ɑ axis. Methods Specific pathogen-free(SPF)grade male C57BL/6 mice were randomly assigned to the following groups:control group,SAL group,PM2.5 group,SAL+PM2.5 group.On the first day,SAL was given by gavage,and on the second day,PM2.5 suspension was given by intratracheal instillation.The whole experiment consist of a total of 10 cycles,lasting 20 days.At the end of treatment,blood samples and lung tissues were collected and analyzed.Observation of pathological changes in lung tissue using inverted microscopy and transmission electron microscopy.The expression of inflammatory,antioxidants,apoptosis,and SIRT1-PGC-1ɑ proteins were detected by Western blotting. Results Exposure to PM2.5 leads to obvious morphological and pathologica changes in the lung of mice.PM2.5 caused a decline in levels of antioxidant-related enzymes and protein expressions of HO-1,Nrf2,SOD2,SIRT1 and PGC-1ɑ,and an increase in the protein expressions of IL-6,IL-1β,Bax,caspase-9 and cleaved caspase-3.However,SAL reversed the aforementioned changes caused by PM2.5 by activating the SIRT1-PGC-1α pathway. Conclusion SAL can activate SIRT1-PGC-1ɑ to ameliorate PM2.5-induced lung injury.

The disease risk prediction model is the basis of precision prevention and an essential reference for clinical treatment decisions. The development of risk prediction models requires the support of a large amount of high-quality data. A large population cohort study is an important basis for this study. The United Kingdom Biobank (UKB), as a mega-population cohort and biobank, has played an essential role in the exploration of disease etiology and research related to disease prevention and control, with its rich baseline and follow-up data and concepts and mechanisms shared globally. This study followed PRISMA guidelines and included 210 articles with corresponding authors from 18 countries, of which 58 (27.62%) were from the UKB. A total of 491 disease risk prediction models were extracted for cancer, cardiovascular and cerebrovascular diseases, endocrine and metabolic diseases, respiratory diseases, and other diseases and their subgroups, of which 132 were developed by UKB without validation, 183 were developed by UKB with internal validation, 17 were developed by UKB with external validation, and 159 were developed by external development with UKB validation. A total of 188 models used only macro variables (38.29%), and 303 models combined macro and micro variables (61.71%). Model construction methods included survival outcome models, logistic regression, and machine learning. Survival outcome models were dominated by Cox proportional risk regression models and a few models considering competitive risk, accelerated failure models, or different baseline risk functions. Machine learning models included random forest, XGBoost, CatBoost, support vector machine, convolutional neural network, and other methods. The UKB is an essential resource for multiple disease risk prediction modeling studies.

Objective To analyze the medication rule of Traditional Chinese Medicine(TCM)in treating diabetes nephropathy(DN)and to explore the interaction between core components and key targets.Methods Based on the ancient and modern medical case cloud platform,the medication rules of TCMs and the drug pairs with the highest frequency in treating DN were summarized.Then the network pharmacology approach was utilized to analyze the pharmacodynamic material basis and mechanisms of the highest frequency-drug pairs.The potential targets were predicted by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)databases.TTD,DISGENET,and GENECARD databases were used to obtain the related targets of DN and screen out the potential targets for DN.In order to clarify the relationships between the active ingredients,the core targets,and pathways,STRING and Cytoscape 3.7.1 software were used to construct the protein-protein interaction(PPI)network and core drugs-ingredients-targets-disease interaction network,DAVID database was screened for Kyoto Encyclopedia of Genes and Gnomes(KEGG)enrichment analysis of core targets.Sybyl 2.1 software and biofilm interference verify the combined capacity between the core ingredients and key targets.Results Among 183 prescriptions,Astragali Radix had the highest use frequency and average dose,43 times and 37 g,respectively,followed by Salviae miltiorrhizae Radix and Poria cocos.To find the core combined with the highest confidence in association analysis was astragalus,salvia miltiorrhiza,and tuckahoe.Correlation analysis indicates that the core combination with the highest confidence was Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos.Network pharmacologic showed 89 potential targets and 15 key signaling pathways for the treatment of DN by the drug pair.TNF signaling pathway,Nod-like receptor signaling pathway,and MAPK signaling pathway were disease-related pathways,and IL-6,TNF,and vascular endothelial growth factor A(VEGFA)were core targets.Isorhamnetin and quercetin of the drug pair had high binding ability with IL6,the scores were 8.2 and 7.4,respectively,and the dissociation constants(KD)were 5.6×10-5 mol·L-1 and 6.8×10-5 mol·L-1,respectively.Conclusion This study preliminarily finds the prescription rule of treating DN with Astragali Radix-Salviae miltiorrhizae Radix-Poria cocos as the core drug pair,isorhamnetin,and quercetin are probably the main active compounds of this drug pair in DN treatment,which provides a basis for clinical treatment and drug discovery of DN.

ObjectiveIn kinesin-3, the neck coil correlates with the following segments to form an extended neck that contains a characteristic hinge diverse from a proline in KIF13B to a long flexible linker in KIF1A. The function of this neck hinge for controlling processive movement, however, remains unclear. MethodsWe made a series of modifications to the neck hinges of KIF13B and KIF1A and tested their movement using a single-molecule motility assay. ResultsIn KIF13B, the insertion of flexible residues before or after the proline differentially impacts the processivity or velocity, while the removal of this proline increases the both. In KIF1A, the deletion of entire flexible neck hinge merely enhances the processivity. The engineering of these hinge-truncated necks of kinesin-3 into kinesin-1 similarly boosts the processive movement of kinesin-1. ConclusionThe neck hinge in kinesin-3 controls its processive movement and proper modifications tune the motor motility, which provides a novel strategy to reshape the processive movement of kinesin motors.