Heat stress reduces theanine content in tea plants,but the underlying molecular mechanism remains unclear.In this study,a temperature gradient treatment(20℃,25℃,30℃,and 35℃)was performed to unveil the effect of he...Heat stress reduces theanine content in tea plants,but the underlying molecular mechanism remains unclear.In this study,a temperature gradient treatment(20℃,25℃,30℃,and 35℃)was performed to unveil the effect of heat stress on biosynthesis and accumulation of theanine.We found that heat stress induced metabolic changes,characterized by decreased theanine content and increased catechin levels.In addition,heat stress up-regulated the expression of the class B heat shock transcription factor gene CsHSFB2c,while significantly suppressing the transcription of key theanine biosynthetic genes CsTS1 and CsGS1.Functional studies showed that silencing CsHSFB2c increased theanine content,while its overexpression significantly decreased theanine levels.Consistent with these changes,silencing CsHSFB2c upregulated the expression of CsTS1 and CsGS1,while overexpression of CsHSFB2c downregulated their expression.Yeast one-hybrid(Y1H)and dual-luciferase reporter gene(Dual-LUC)assays showed that CsHSFB2c directly binds to the promoters of CsTS1 and CsGS1 and inhibits their expression.These results demonstrate that CsHSFB2c mediates heat-induced suppression of theanine biosynthesis by directly inhibiting the expression of CsTS1 and CsGS1.This study provides a theoretical basis for improving the heat resistance and quality of tea plants via molecular breeding.展开更多
Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial ...Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial for the distinctiveness of fermented food flavor and the variability in quality.Chinese liquor(Baijiu)is one of the typical representatives of spontaneous fermented food.In this review,the multifaceted relationship between regional environmental attributes and the fermentation dynamics of Baijiu was examined,with a spotlight on the strong-flavor,sauce-flavor,and light-flavor varieties.It reveals the influence of regional environmental factors and brewing environmental factors on microbial function and metabolism,which results in the formation of unique flavor characteristics of Baijiu.The 9 main factors affecting the microecology of Baijiu fermentation were further explored,including environmental sensitivity,microbial interactions,biogeographic patterns,and key abiotic factors such as temperature and humidity.Environmental factor management is crucial for controlling microbial community in fermentation.Intelligent detection of the fermentation system is combined with artificial intelligence to realize the digitalization of Baijiu fermentation,with a view to further studying the environmental mechanism or quantitative control relationship of natural fermentation,improving the environmental stability of natural fermentation,and promoting the mechanization and intelligence of fermentation production.展开更多
The pathophysiology of many ailments,including neurological,gastrointestinal,and metabolic disorders,is well known to be influenced by intestinal dysbiosis.Clinical research has provided evidence suggesting a strong c...The pathophysiology of many ailments,including neurological,gastrointestinal,and metabolic disorders,is well known to be influenced by intestinal dysbiosis.Clinical research has provided evidence suggesting a strong correlation between dysbiosis of the gut microbiome and colorectal cancer(CRC)development.The active reprogramming of metabolic pathways to boost glycolysis,fatty acid production,lipogenesis,and glutaminolysis constitutes a major metabolic shift in cancer development,including CRC.The complex combination of different factors leads to CRC,making it an environmental disease.These factors include food and lifestyle choices,genetics and family history,age,underlying intestinal diseases,and dysbiosis of the gut microbiota.One of the primary risk factors for carcinoma development is diet,which impacts an individual’s gut microbiome.In addition to impacting CRC formation,the gut microbiome also has immunomodulatory effects,including various immunological interactions and the underlying mechanisms governing them.Microbial interactions in CRC have been extensively studied,yet numerous unresolved queries exist on how gut bacteria can influence treatment.Microbiome-driven immunotherapies,focusing on probiotics,prebiotics,and synbiotics,represent a promising therapeutic avenue.However,large-scale treatment utilization in CRC patients is limited by several issues,including variations in the microbial makeup of each patient’s gut and a lack of established methods.The study highlights the impact of several risk factors,including dysbiosis of the gut microbiome and different approaches to halting and treating CRC progression with a focus on diet changes and modulation of the gut flora.Given the foregoing,we propose that if research gaps are addressed and immunotherapy is paired with microbial interventions,microbiota-based therapeutics could potentially impede the growth of tumors and treat CRC.展开更多
Flavonoids,abundant in the fruits,are pivotal to their growth,development,and storage.In addition,they have significant beneficial effects on human health.Consequently,research is increasingly concentrating on the reg...Flavonoids,abundant in the fruits,are pivotal to their growth,development,and storage.In addition,they have significant beneficial effects on human health.Consequently,research is increasingly concentrating on the regulatory mechanisms governing flavonoid biosynthesis in fruits.Phytohormones are involved in the regulation of flavonoid biosynthesis.The abscisic acid,ethylene,jasmonic acid,cytokinins,and brassinosteroids promote flavonoid biosynthesis,while auxin negatively regulates flavonoid biosynthesis.Subsequently,transcription factors from the MYB,bHLH,WRKY,NAC,and bZIP families are pivotal in regulating flavonoid biosynthesis.In addition,non-coding RNAs(microRNA and lncRNA)also participate in the regulation of flavonoids biosynthesis.MicroRNAs are generally believed to negatively regulate flavonoid metabolism in fruits,while lncRNAs have the opposite effect.Furthermore,the interactions between plant hormones,transcription factors,and non-coding RNAs in fruit flavonoid biosynthesis were analyzed.Ultimately,a foundational regulatory network for fruit flavonoid biosynthesis was hereby established.展开更多
Landslides pose a formidable natural hazard across the Qinghai-Tibet Plateau(QTP),endangering both ecosystems and human life.Identifying the driving factors behind landslides and accurately assessing susceptibility ar...Landslides pose a formidable natural hazard across the Qinghai-Tibet Plateau(QTP),endangering both ecosystems and human life.Identifying the driving factors behind landslides and accurately assessing susceptibility are key to mitigating disaster risk.This study integrated multi-source historical landslide data with 15 predictive factors and used several machine learning models—Random Forest(RF),Gradient Boosting Regression Trees(GBRT),Extreme Gradient Boosting(XGBoost),and Categorical Boosting(CatBoost)—to generate susceptibility maps.The Shapley additive explanation(SHAP)method was applied to quantify factor importance and explore their nonlinear effects.The results showed that:(1)CatBoost was the best-performing model(CA=0.938,AUC=0.980)in assessing landslide susceptibility,with altitude emerging as the most significant factor,followed by distance to roads and earthquake sites,precipitation,and slope;(2)the SHAP method revealed critical nonlinear thresholds,demonstrating that historical landslides were concentrated at mid-altitudes(1400-4000 m)and decreased markedly above 4000 m,with a parallel reduction in probability beyond 700 m from roads;and(3)landslide-prone areas,comprising 13%of the QTP,were concentrated in the southeastern and northeastern parts of the plateau.By integrating machine learning and SHAP analysis,this study revealed landslide hazard-prone areas and their driving factors,providing insights to support disaster management strategies and sustainable regional planning.展开更多
Major chemical ionic components in water serve as indicators of natural factors in the areas traversed by water bodies,and are thus widely used to elucidate key hydrogeochemical processes,including rock weathering,aqu...Major chemical ionic components in water serve as indicators of natural factors in the areas traversed by water bodies,and are thus widely used to elucidate key hydrogeochemical processes,including rock weathering,aquatic evaporation-crystallization,and the input of precipitation-derived materials into river basins.A total of 208 water samples were collected between August 2021 and August 2022 to investigate the hydrochemical characteristics and their influencing factors of the surface water and the groundwater in the Mingyong River Basin.To systematically analyze the data,we combined hydrogeochemical and statistical methods:descriptive statistics characterized ion concentration and physicochemical parameter distributions;Piper trilinear diagrams classified hydrochemical types;Pearson correlation analysis assessed ion-ion and ionTDS dependencies;Gibbs diagrams and ion ratio analysis identified solute sources;and the absolute principal component score-multiple linear regression(APCS-MLR)model quantified the contribution rates of different influencing factors.The results revealed that the dominant cations in the surface water and groundwater are Ca^(2+)and Mg^(2+),while the dominant anions are HCO_(3)^(-)and SO_(4)^(2-).The groundwater exhibits an extended residence time within rock strata,facilitating prolonged interaction with soluble minerals and intensifying the water-rock reaction process,thereby resulting in higher levels of electrical conductivity(EC),pH,and total dissolved solids(TDS)than those in the surface water.Secondly,the parameters of the surface water and groundwater indicate positive correlation.The weathering of rocks constitutes the primary solute source in the water of the basin.The hydrochemical composition of the basin water is primarily influenced by both carbonate and silicate rocks,with a minor contribution from evaporite rocks.The water bodies in the basin are affected by anthropogenic activities.The surface water is influenced by four sources,namely lixiviation-enrich,human activities,geological environmental,and unknown sources.The groundwater is influenced by five sources,namely lixiviation-enrich,primary geological,human activities,geological environmental,and unknown sources.展开更多
Objectives This study aimed to explore the lagged and cumulative effects of risk factors on disability in older adults using distributed lag non-linear models(DLNMs).Methods We utilized data from the China Health and ...Objectives This study aimed to explore the lagged and cumulative effects of risk factors on disability in older adults using distributed lag non-linear models(DLNMs).Methods We utilized data from the China Health and Retirement Longitudinal Study(CHARLS).After feature selection via Elastic Net Regularization,we applied DLNMs to evaluate the lagged effects of risk factors.Disability was defined as the presence of any difficulties in basic activities of daily living(BADL).The cumulative relative risk(CRR)was calculated by summing the lag-specific risk estimates,representing the cumulative disability risk over the specified lag period.Effect modifications and sensitivity analyses were also performed.Results This study included a total of 2,318 participants.Early-phase lag factors,such as the difficulty in stooping(CRR=3.58;95%CI:2.31-5.55;P<0.001)and walking(CRR=2.77;95%CI:1.39-5.55;P<0.001),exerted the strongest effects immediately upon occurrence.Mid-phase lag factors,such as arthritis(CRR=1.51;95%CI:1.10-2.06;P=0.001),showed a resurgence in disability risk within 2-3 years.Late-phase lag factors,including depressive symptoms(CRR=2.38;95%CI:1.30-4.35;P<0.001)and elevated systolic blood pressure(CRR=1.64;95%CI:1.06-2.79;P=0.02),exhibited significant long-term cumulative risks.Conversely,grip strength(CRR=0.80;95%CI:0.54-0.95;P=0.02)and social participation(CRR=0.89;95%CI:0.73-0.99;P=0.04)were significant protective factors.Conclusions The findings underscore the importance of tailored interventions that account for various lag characteristics of different factors to effectively mitigate disability risk.Future studies should explore the underlying biological and sociological mechanisms of these lagged effects,identify intervention strategies that target risk factors with different lagged patterns,and evaluate their effectiveness.展开更多
Objective Frailty is becoming increasingly common among aging adults.Frailty transitionis shaped by biological,social,psychological,and environmental factors.This study investigated combined effects of protective fact...Objective Frailty is becoming increasingly common among aging adults.Frailty transitionis shaped by biological,social,psychological,and environmental factors.This study investigated combined effects of protective factors on frailty transition by constructing a Protection Index(PI)to guide targeted interventions.Methods Data were extracted from the 4th Sample Survey of the Aged Population in Urban and Rural China,including baseline(2017)and follow-up(2019)surveys.Frailty was assessed using the Frailty Index(FI),whereas the PI measured protective factors.Frailty transitions over 2 years were analyzed prospectively.Pearson’s correlation examined the relationship between FI and PI,and logistic regression assessed the effects of PI on frailty transitions.Results This study included 9,093 older adults.FI values increased with age and were higher in women,whereas PI values decreased with age and were higher in men.Over 2 years,56.2%of the participants showed a stable frailty status,14.2%improved,and 29.6%worsened.Negative transitions were more common than positive transitions,with transitions occurring most frequently between adjacent states.The PI was moderately negatively correlated with the FI(r=−0.349,P<0.001).A higher PI was associated with a lower risk of negative transitions among robust and prefrail individuals(OR=0.989,0.981,both P<0.05),but showed no significant effect among those with existing frailty.Conclusion Negative frailty transitions were more common with advancing age.Enhancing PI may help prevent negative frailty transitions among robust and pre-frail older adults,underscoring the value of early interventions.展开更多
Urban rainwater runoff is an important source of nonpoint source pollution due to its transport of diverse contaminants,including polycyclic aromatic hydrocarbons(PAHs)and chlorinated derivatives.Importantly,these chl...Urban rainwater runoff is an important source of nonpoint source pollution due to its transport of diverse contaminants,including polycyclic aromatic hydrocarbons(PAHs)and chlorinated derivatives.Importantly,these chlorinated polycyclic aromatic hydrocarbons(Cl-PAHs)exhibit elevated toxicological potential compared to their non-halogenated parent compounds.In this study,we proposed an approach that combined multivariate receptor model with integration of SHapley Additive exPlanations and Random Forest model.This method identifies the possible sources and reveals the impact of source apportionment results and environmental driving factors(such as geographical and meteorological data)on pollutant concentrations.Sixteen PAHs and nine ClPAHs were detected in 79 runoff samples from all three sites.TheΣ_(16)PAHs average concentration(2923.93 to 6071.83 ng/L)was significantly higher than theΣ_(9)Cl-PAHs(384.34 to 1314.73 ng/L).The source apportionment was conducted by positive matrix factorization(PMF),and six potential pollution sources for PAHs and three for Cl-PAHs were quantified.PAHs primarily originate from the combustion of fossil fuels such as traffic,industrial emissions and coal tar,while Cl-PAHs are mainly derived from atmospheric deposition and industrial emissions.Meanwhile,the self‑organizing map classified PAHs and Cl-PAHs into 2 and 3 groups,respectively.The k-means algorithm yielded 4 clusters for runoff samples.Among machine learning models,Random Forest(RF)demonstrated optimal predictive performance and integrated with SHapley Additive exPlanations(RF-SHAP)revealed the effects of driving factors on the predicted concentration of PAHs and Cl-PAHs in urban runoff samples.展开更多
This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs...This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs)from inland rivers to the sea and the environmental impact factors from this perspective.The results showed that in general,the pollution of antibiotics and ARGs in Daliao River-Liaodong Bay belonged to the medium-low level,and levels of antibiotics and ARGs were nd–106.23 ng/L and nd–1.95×10^(8)copies/L,respectively.The concentrations and types of antibiotics and ARGs decreased from inland to sea regions.Analysis of the distributional characteristics of antibiotics and ARGs from a regionalized perspective revealed significant differences among the three regions in sulfonamide antibiotics,tetracycline antibiotics,and dominant ARGs.Sulfonamide antibiotic levels were significantly higher in the estuarine zone than in the riverine and offshore zones;tetracycline antibiotic levels were significantly higher in the riverine and estuarine zones than in the offshore zone.Aminoglycosides were dominant in the riverine and estuarine zones,and macrolides were dominant in the offshore zone.We characterized the effects of environmental factors on the assignment of antibiotics and ARGs and found that overall temperature contributed the most to variation in antibiotics and ARGs;the contribution of dissolved oxygen was the lowest.The estuarine zone was most affected by these factors,followed by the offshore zone and finally the riverine zone.展开更多
The Liushagang Formation in the Weixinan Depression,Beibu Gulf Basin,southern China,is one of the key stratigraphic units for offshore shale oil exploration in the country.The shale oil reservoirs in the formation are...The Liushagang Formation in the Weixinan Depression,Beibu Gulf Basin,southern China,is one of the key stratigraphic units for offshore shale oil exploration in the country.The shale oil reservoirs in the formation are characterized by low porosity,low permeability and strong heterogeneity,which constrain the precise evaluation of reservoir properties,the accurate prediction of sweet spots,and efficient development.This study integrates core observation,mineralogical analysis,and multi-scale pore characterization to systematically clarify the variations in reservoir properties and their controlling mechanisms.The results show that the physical properties of matrix-type,lamina-type,and interlayer-type reservoirs exhibit distinct stepwise variations:Among these,interlayer-type reservoirs show the greatest development potential(quartz content 65%,average porosity 15%,permeability>10 mD,and mobile fluid saturation 60%),whereas matrix-type reservoirs are the least favorable(dominated by 40 nm nanoscale pores,and clay content 45%).Mineral composition,sedimentary-diagenetic processes,and fault systems collectively control reservoir property heterogeneity.Quartz-rich rigid frameworks resist compaction,resulting in a porosity increase by approximately 2% for every 10%rise in q uartz content.The transformation of clay minerals induces stratified porosity zoning within the layered reservoirs,while fault systems enhance heterogeneity through the development of fracture networks and acid-induced dissolution.This study provides theoretical support for the evaluation and development of shale oil sweet spots in the Weixinan Depression and holds practical significance for the commercial development of shale oil in China's offshore areas.展开更多
Flower color is an essential trait in ornamental plant breeding. Lycoris longituba is a popular ornamental plant native to central eastern China. The decrease in anthocyanin accumulation causes L. longituba petal colo...Flower color is an essential trait in ornamental plant breeding. Lycoris longituba is a popular ornamental plant native to central eastern China. The decrease in anthocyanin accumulation causes L. longituba petal color fading during flower development, which considerably affects the ornamental value of L. longituba. However, mechanisms underlying anthocyanin biosynthesis inhibition during L. longituba petal development remain unclear. In this study, three LlDFR genes were confirmed to be involved in anthocyanin biosynthesis and LlDFRc exerted the strongest promoting effect on anthocyanin accumulation. According to the correlation analysis results, LlbHLH12 exhibited the strongest negative correlation with LlDFRc. Quantitative real-time PCR analysis showed that LlbHLH12 was highly expressed during the medium bud and full bloom stages of flower development. LlbHLH12 was identified as a member of subgroup XII of bHLH transcription factor family. Subcellular localization and transcriptional activation ability assay revealed that LlbHLH12 was located in the nucleus without transcriptional activation activity. Overexpression of LlbHLH12 in Nicotiana tabacum and L. longituba inhibited anthocyanin accumulation by suppressing the expression of anthocyanin biosynthetic pathway genes. Furthermore, yeast one-hybrid, dual-luciferase, and β-glucuronidase activity assays showed that LlbHLH12 directly bound to the promoters of LlPAL and LlDFRc and suppressed their expression to inhibit anthocyanin biosynthesis. Overall, our study identified a novel bHLH repressor negatively regulating anthocyanin biosynthesis and provided new insights into the molecular mechanisms underlying color fading in L. longituba petals.展开更多
Objective:Based on the theory of“Taiyang governs tendons”,to explore the effect of acupuncture at points of the Bladder Meridian of Foot-Taiyang on the expression of serum inflammatory factors in rabbit models of ce...Objective:Based on the theory of“Taiyang governs tendons”,to explore the effect of acupuncture at points of the Bladder Meridian of Foot-Taiyang on the expression of serum inflammatory factors in rabbit models of cervical spondylosis.Methods:Thirty New Zealand white rabbits were randomly divided into a blank group,a model group,and a treatment group,with 10 rabbits in each group.The models of cervical spondylosis in the model group and treatment group were established by long-term head-down flexion combined with cold-damp stimulation.After modeling,the treatment group received acupuncture at three points(Kunlun,Weizhong,and Feishu)on the Bladder Meridian of Foot-Taiyang,once a day for 20 minutes each time,for 14 consecutive days;the model group and blank group received no therapeutic intervention.After the intervention,cardiac blood was collected from all rabbits to detect the expression levels of serum inflammatory factors IL-6,TNF-α,and IL-1β.Meanwhile,cervical muscle tissue was collected,stained with HE,and the morphological changes of the posterior cervical muscle tissue in each group were observed under an optical microscope.Results:After modeling,the levels of inflammatory factors in the serum of rabbits in the model group and treatment group were significantly increased compared with those before modeling,with a statistically significant difference(p<0.01).After intervention,the serum inflammatory factors in the treatment group decreased significantly compared with those in the model group,and the difference was statistically significant(p<0.01).Conclusion:Acupuncture at points of the Bladder Meridian of Foot-Taiyang in rabbit models of cervical spondylosis can reduce the serum levels of inflammatory factors TNF-α,IL-1β,and IL-6.展开更多
Objectives:Uretero-enteric strictures are feared complications following cystectomy.Despite surgical advancements,particularly the rise of robot-assisted approaches,the risk factors associated with these strictures re...Objectives:Uretero-enteric strictures are feared complications following cystectomy.Despite surgical advancements,particularly the rise of robot-assisted approaches,the risk factors associated with these strictures remain poorly defined.This study aimed to identify the risk factors associated with uretero-enteric anastomotic strictures after cystectomy,according to the surgical approach and type of urinary diversion(extracorporeal vs.intracorporeal).Methods:We conducted a single-center retrospective study including 340 patients who underwent cystectomy between 2016 and 2024 at Tours University Hospital.Clinical,biological,perioperative,and postoperative data were analyzed.The occurrence of a uretero-ileal anastomotic stricture was defined radiologically by a uretero-hydronephrosis≥20 mm.We constructed and analyzed a learning curve for robotic surgery with intracorporeal urinary diversion.Results:Strictures occurred in 60 patients(17.6%).On multivariable analysis,reduced preoperative glomerular filtration rate(odds ratio[OR]=1.45 per 10 mL/min decrease,95%CI[1.12-1.87],p=0.004),elevated creatinine(OR=1.30 per 10μmol/L increase,95%CI[1.05-1.61],p=0.018),prior myocardial infarction(OR=2.25,95%CI[1.10-4.62],p=0.027),and postoperative urinary tract infection(OR=3.10,95%CI[1.65-5.82],p<0.001)were independent predictors.Most strictures were left-sided.Intracorporeal robotic diversion had a higher,though non-significant,stricture rate(21.5%vs.15.2%,OR=1.52,p=0.12).Stricture rates fell markedly after 20 robotic cases per surgeon(23.8%vs.12.1%).Conclusion:Uretero-enteric strictures are multifactorial,strongly influenced by baseline renal function,cardiovascular comorbidity,and postoperative infection.Robotic intracorporeal diversion shows a learning curve effect,underlining the importance of surgical expertise and infection prevention in reducing risk.展开更多
Iron isotopes,represented byδ^(56)Fe,serve as valuable tools for constraining the surface iron processes and as potent tracers for studying the biogeochemical cycle of iron.Nevertheless,our comprehension of iron isot...Iron isotopes,represented byδ^(56)Fe,serve as valuable tools for constraining the surface iron processes and as potent tracers for studying the biogeochemical cycle of iron.Nevertheless,our comprehension of iron isotopes in the land surface processes of the Tibetan Plateau(TP)remains limited.In this study,we present the results of iron isotopic composition(δ^(56)Fe)in the surface soils of the TP,encompassing both glacial and non-glacial regions characterized by rugged and flat topographies.Our findings reveal that soilδ^(56)Fe values ranged from-0.01‰±0.05‰to 0.14‰±0.01‰,with the highest values observed in eastern locations(0.14‰)and the lowest appeared in the northeast(-0.1‰).On a global scale,theδ^(56)Fe values observed in Tibetan soils exhibited relatively small variability compared to reservoirs marked by significant iron isotope fractionation.By contrast,the range of TP soils measured here was slightly larger than that of the Chinese Loess.Furthermore,we discerned noticeable spatial variations inδ^(56)Fe across the large-scale region of TP,indicating a gradual increase trend from the northeast to the south and from the west to the east.These regional disparities inδ^(56)Fe likely arise from a combination of constraining factors,including differences in mineralogy,lithological variations,organic matter content,and variations in chemical weathering intensity.This study is pivotal in advancing our understanding of land surface iron isotope dynamics and its role in the biogeochemical cycle within the TP region.展开更多
Background:The trajectory of intrinsic capacity(IC)among the older population is characterized by its diversity and is predictive of adverse health outcomes such as disability,nursing home admission,decline in quality...Background:The trajectory of intrinsic capacity(IC)among the older population is characterized by its diversity and is predictive of adverse health outcomes such as disability,nursing home admission,decline in quality of life,and mortality.Gaining an understanding of the trajectory of IC and the factors that influence it is of paramount importance for fostering healthy aging.This research is focused on exploring the trajectory of IC among older adults in China and examining the factors that influence it.Methods:This observational longitudinal cohort study leveraged data from the China Health and Retirement Longitudinal Study(CHARLS),which was conducted in the years 2011,2013,and 2015.For the purpose of this analysis,a total of 2,233 participants who were aged 60 and over were included.A Growth Mixture Model(GMM)was utilized to define trajectory categories for IC.Influential factors were ascertained based on the health ecology model,and binary logistic regression analysis was utilized to investigate the factors linked with the different trajectory categories.Results:Two distinct trajectory classes of IC were identified:Class 1,the normal-stable group,encompassed 90.4%of the elderly population,while Class 2,the declining group,made up 9.6%.Advanced age and a history of stroke were found to be significantly associated with Class 2.High scores in activities of daily living(ADL),employment status,receiving primary or junior high school education,and residence in the East or Central regions of China were significantly linked with Class 1.Conclusion:The trajectory of IC among older Chinese adults is marked by its heterogeneity.Advanced age and a history of stroke are significant risk factors for a declining IC trajectory,while higher ADL scores,being employed,receiving primary or junior high school education,and residing in the East or Central regions of China are protective factors associated with a stable IC trajectory.Healthcare institutions must closely monitor IC levels and understand these trajectory patterns to implement personalized and targeted interventions promptly to maintain IC at a healthy level and advocate for healthy aging.展开更多
BACKGROUND Esophageal cancer is highly malignant and frequently metastasizes to bones.Concomitant depression worsens prognosis;however,its incidence and determinants in this specific population remain poorly defined.A...BACKGROUND Esophageal cancer is highly malignant and frequently metastasizes to bones.Concomitant depression worsens prognosis;however,its incidence and determinants in this specific population remain poorly defined.AIM To determine the incidence of depression and its independent risk factors in patients with esophageal cancer and bone metastasis.METHODS A total of 100 consecutive eligible patients admitted between March 2022 and March 2025 were recruited.Depression was assessed with the Beck Depression Inventory-II;scores>4 defined the depression group(n=42)and scores≤4 the non-depression group(n=58).Demographic,clinical,and laboratory variables were compared between the groups.Multivariate logistic regression was used to identify independent risk factors.RESULTS Depression prevalence was 42.0%(42/100).Univariate analysis demonstrated significant differences in monthly per-capita household income,education level,social support,sleep disorders,and serum high-sensitivity C-reactive protein(all P<0.05);no differences were observed in sex,age,tumor characteristics,or other laboratory indices(all P>0.05).Multivariable analysis revealed the following independent risk factors for depression:Low income[odds ratio(OR)=2.66,95%confidence interval(CI):1.17-6.03],low education(OR=2.46,95%CI:1.08-5.61),low social support(OR=5.10,95%CI:1.81-14.39),sleep disorders(OR=2.79,95%CI:1.23-6.35),and elevated high-sensitivity C-reactive protein(OR=1.31 per unit increase,95%CI:1.18-1.46).CONCLUSION Depression is common among patients with esophageal cancer and bone metastasis.Low socioeconomic status,limited education,insufficient social support,sleep disturbances,and systemic inflammation were independent predictors.Interventions that address these modifiable factors may reduce depression risk in this population.展开更多
Tooth morphogenesis is orchestrated by a complex interplay of signaling pathways and transcription factors that control cell proliferation,apoptosis,and differentiation,with the Wnt/β-catenin signaling pathway playin...Tooth morphogenesis is orchestrated by a complex interplay of signaling pathways and transcription factors that control cell proliferation,apoptosis,and differentiation,with the Wnt/β-catenin signaling pathway playing a pivotal role.However,the comprehensive regulatory mechanisms of Wnt/β-catenin signaling remain largely unclear.Smad7,a key antagonist of the TGF-βsuperfamily,is essential for maintaining tissue homeostasis and ensuring proper cellular function.Our previous study has demonstrated that Smad7 knockout in mice leads to impaired proliferative property of tooth germ cells,resulting in small molars.Here,we identified SMAD7 expression in human dental papilla and dental pulp,colocalized with β-CATENIN and cell proliferationrelated proteins.RNA sequencing analysis revealed a significant reduction in Wnt signaling activity in Smad7-deficient mouse tooth germs.Using lentivirus transfection,we established SMAD7-knockdown human dental papilla stem cells,which manifested remarkably blunt proliferation rate,along with diminished Wnt signaling activity.In vivo transplantation investigations further revealed the indispensable role of SMAD7 in dentin formation.Mechanistically,we revealed that β-CATENIN interacts with P-SMAD2/3 and SMAD7 through co-immunoprecipitation and yeast two-hybrid assays.Inhibition of TGF-β pathway or disruption of SMAD7/β-CATENIN transcription factor complex formation potently impacted Wnt/β-catenin activities,indicating both direct and indirect regulatory mechanisms.These findings highlight the critical role of SMAD7 in the proliferation and diffe rentiation of human dental stem cells,which could contribute to dental tissue regeneration and engineering.展开更多
AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANE...AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANES)were analyzed,a nationally representative U.S.dataset.ERM was identified via retinal imaging based on the presence of cellophane changes.Key predictors included age group,eye surgery history,and refractive error,with additional demographic and health-related covariates.Weighted univariate and multiple logistic regression models were used to assess associations and interaction effects between eye surgery and refractive error.RESULTS:Totally 3925 participants were analyzed.Older age,eye surgery,and refractive errors were significantly associated with ERM.Compared to those under 65y,the odds ratio(OR)for ERM was 3.08 for ages 65–75y(P=0.0014)and 4.76 for ages 75+years(P=0.0069).Eye surgery increased ERM risk(OR=3.48,P=0.0018).Moderate to high hyperopia and myopia were also associated with ERM(OR=2.65 and 1.80,respectively).A significant interaction between refractive error and eye surgery was observed(P<0.0001).Moderate to high myopia was associated with ERM only in those without eye surgery(OR=1.92,P=0.0443).Eye surgery was most strongly associated with ERM in the emmetropic group(OR=3.60,P=0.0027),followed by the moderate to high myopia group(OR=3.01,P=0.0031).CONCLUSION:ERM is significantly associated with aging,eye surgery,and refractive errors.The interaction between eye surgery and refractive error modifies ERM risk and highlights the importance of considering combined effects in clinical risk assessments.These findings may help guide individualized ERM risk assessment that may inform personalized approaches to ERM prevention and management.展开更多
基金supported by the Major Project of Guizhou Provincial Science and Technology Program,China([2024]027)the High-Level Innovative Talents Project of Guizhou Province,China(GCC[2023]014)+1 种基金the Guizhou Provincial Tea Industry Technology System,China(GZCYCYJSTX-03)the Science and Technology Project of China Huaneng Group(HNKJ2022-H135)。
文摘Heat stress reduces theanine content in tea plants,but the underlying molecular mechanism remains unclear.In this study,a temperature gradient treatment(20℃,25℃,30℃,and 35℃)was performed to unveil the effect of heat stress on biosynthesis and accumulation of theanine.We found that heat stress induced metabolic changes,characterized by decreased theanine content and increased catechin levels.In addition,heat stress up-regulated the expression of the class B heat shock transcription factor gene CsHSFB2c,while significantly suppressing the transcription of key theanine biosynthetic genes CsTS1 and CsGS1.Functional studies showed that silencing CsHSFB2c increased theanine content,while its overexpression significantly decreased theanine levels.Consistent with these changes,silencing CsHSFB2c upregulated the expression of CsTS1 and CsGS1,while overexpression of CsHSFB2c downregulated their expression.Yeast one-hybrid(Y1H)and dual-luciferase reporter gene(Dual-LUC)assays showed that CsHSFB2c directly binds to the promoters of CsTS1 and CsGS1 and inhibits their expression.These results demonstrate that CsHSFB2c mediates heat-induced suppression of theanine biosynthesis by directly inhibiting the expression of CsTS1 and CsGS1.This study provides a theoretical basis for improving the heat resistance and quality of tea plants via molecular breeding.
基金financially supported by the National Natural Science Foundation of China(22138004)National Treasure Ecological Research Synergetic Innovation Center.
文摘Environment serves as the pivotal medium to produce fermented food,with fluctuations in environmental factors exerting a profound impact on the modulation of fermentation microbial communities.Such shifts are crucial for the distinctiveness of fermented food flavor and the variability in quality.Chinese liquor(Baijiu)is one of the typical representatives of spontaneous fermented food.In this review,the multifaceted relationship between regional environmental attributes and the fermentation dynamics of Baijiu was examined,with a spotlight on the strong-flavor,sauce-flavor,and light-flavor varieties.It reveals the influence of regional environmental factors and brewing environmental factors on microbial function and metabolism,which results in the formation of unique flavor characteristics of Baijiu.The 9 main factors affecting the microecology of Baijiu fermentation were further explored,including environmental sensitivity,microbial interactions,biogeographic patterns,and key abiotic factors such as temperature and humidity.Environmental factor management is crucial for controlling microbial community in fermentation.Intelligent detection of the fermentation system is combined with artificial intelligence to realize the digitalization of Baijiu fermentation,with a view to further studying the environmental mechanism or quantitative control relationship of natural fermentation,improving the environmental stability of natural fermentation,and promoting the mechanization and intelligence of fermentation production.
文摘The pathophysiology of many ailments,including neurological,gastrointestinal,and metabolic disorders,is well known to be influenced by intestinal dysbiosis.Clinical research has provided evidence suggesting a strong correlation between dysbiosis of the gut microbiome and colorectal cancer(CRC)development.The active reprogramming of metabolic pathways to boost glycolysis,fatty acid production,lipogenesis,and glutaminolysis constitutes a major metabolic shift in cancer development,including CRC.The complex combination of different factors leads to CRC,making it an environmental disease.These factors include food and lifestyle choices,genetics and family history,age,underlying intestinal diseases,and dysbiosis of the gut microbiota.One of the primary risk factors for carcinoma development is diet,which impacts an individual’s gut microbiome.In addition to impacting CRC formation,the gut microbiome also has immunomodulatory effects,including various immunological interactions and the underlying mechanisms governing them.Microbial interactions in CRC have been extensively studied,yet numerous unresolved queries exist on how gut bacteria can influence treatment.Microbiome-driven immunotherapies,focusing on probiotics,prebiotics,and synbiotics,represent a promising therapeutic avenue.However,large-scale treatment utilization in CRC patients is limited by several issues,including variations in the microbial makeup of each patient’s gut and a lack of established methods.The study highlights the impact of several risk factors,including dysbiosis of the gut microbiome and different approaches to halting and treating CRC progression with a focus on diet changes and modulation of the gut flora.Given the foregoing,we propose that if research gaps are addressed and immunotherapy is paired with microbial interventions,microbiota-based therapeutics could potentially impede the growth of tumors and treat CRC.
基金supported by the China Agricultural Research System(Grant No.CARS-09)the Central Government Guiding Local Science and Technology Development Project(Grant No.YDZX2023029)the Gansu Planning Projects on Science and Technology(Grant No.23CXNJ0013).
文摘Flavonoids,abundant in the fruits,are pivotal to their growth,development,and storage.In addition,they have significant beneficial effects on human health.Consequently,research is increasingly concentrating on the regulatory mechanisms governing flavonoid biosynthesis in fruits.Phytohormones are involved in the regulation of flavonoid biosynthesis.The abscisic acid,ethylene,jasmonic acid,cytokinins,and brassinosteroids promote flavonoid biosynthesis,while auxin negatively regulates flavonoid biosynthesis.Subsequently,transcription factors from the MYB,bHLH,WRKY,NAC,and bZIP families are pivotal in regulating flavonoid biosynthesis.In addition,non-coding RNAs(microRNA and lncRNA)also participate in the regulation of flavonoids biosynthesis.MicroRNAs are generally believed to negatively regulate flavonoid metabolism in fruits,while lncRNAs have the opposite effect.Furthermore,the interactions between plant hormones,transcription factors,and non-coding RNAs in fruit flavonoid biosynthesis were analyzed.Ultimately,a foundational regulatory network for fruit flavonoid biosynthesis was hereby established.
基金The National Key Research and Development Program of China,No.2023YFC3206601。
文摘Landslides pose a formidable natural hazard across the Qinghai-Tibet Plateau(QTP),endangering both ecosystems and human life.Identifying the driving factors behind landslides and accurately assessing susceptibility are key to mitigating disaster risk.This study integrated multi-source historical landslide data with 15 predictive factors and used several machine learning models—Random Forest(RF),Gradient Boosting Regression Trees(GBRT),Extreme Gradient Boosting(XGBoost),and Categorical Boosting(CatBoost)—to generate susceptibility maps.The Shapley additive explanation(SHAP)method was applied to quantify factor importance and explore their nonlinear effects.The results showed that:(1)CatBoost was the best-performing model(CA=0.938,AUC=0.980)in assessing landslide susceptibility,with altitude emerging as the most significant factor,followed by distance to roads and earthquake sites,precipitation,and slope;(2)the SHAP method revealed critical nonlinear thresholds,demonstrating that historical landslides were concentrated at mid-altitudes(1400-4000 m)and decreased markedly above 4000 m,with a parallel reduction in probability beyond 700 m from roads;and(3)landslide-prone areas,comprising 13%of the QTP,were concentrated in the southeastern and northeastern parts of the plateau.By integrating machine learning and SHAP analysis,this study revealed landslide hazard-prone areas and their driving factors,providing insights to support disaster management strategies and sustainable regional planning.
基金funded by the National Natural Science Foundation of China(No.42061012)the Open Project of Yunnan Province’s First Class Discipline of Soil and Water Conservation and Desertification Control(SBK20240019)。
文摘Major chemical ionic components in water serve as indicators of natural factors in the areas traversed by water bodies,and are thus widely used to elucidate key hydrogeochemical processes,including rock weathering,aquatic evaporation-crystallization,and the input of precipitation-derived materials into river basins.A total of 208 water samples were collected between August 2021 and August 2022 to investigate the hydrochemical characteristics and their influencing factors of the surface water and the groundwater in the Mingyong River Basin.To systematically analyze the data,we combined hydrogeochemical and statistical methods:descriptive statistics characterized ion concentration and physicochemical parameter distributions;Piper trilinear diagrams classified hydrochemical types;Pearson correlation analysis assessed ion-ion and ionTDS dependencies;Gibbs diagrams and ion ratio analysis identified solute sources;and the absolute principal component score-multiple linear regression(APCS-MLR)model quantified the contribution rates of different influencing factors.The results revealed that the dominant cations in the surface water and groundwater are Ca^(2+)and Mg^(2+),while the dominant anions are HCO_(3)^(-)and SO_(4)^(2-).The groundwater exhibits an extended residence time within rock strata,facilitating prolonged interaction with soluble minerals and intensifying the water-rock reaction process,thereby resulting in higher levels of electrical conductivity(EC),pH,and total dissolved solids(TDS)than those in the surface water.Secondly,the parameters of the surface water and groundwater indicate positive correlation.The weathering of rocks constitutes the primary solute source in the water of the basin.The hydrochemical composition of the basin water is primarily influenced by both carbonate and silicate rocks,with a minor contribution from evaporite rocks.The water bodies in the basin are affected by anthropogenic activities.The surface water is influenced by four sources,namely lixiviation-enrich,human activities,geological environmental,and unknown sources.The groundwater is influenced by five sources,namely lixiviation-enrich,primary geological,human activities,geological environmental,and unknown sources.
基金supported by ScientificResearch Fund of National Health Commission of the People’s Republic of China-Major Science and Technology Program for Medicine and Health in Zhejiang Province(WKJ-ZJ-2406).
文摘Objectives This study aimed to explore the lagged and cumulative effects of risk factors on disability in older adults using distributed lag non-linear models(DLNMs).Methods We utilized data from the China Health and Retirement Longitudinal Study(CHARLS).After feature selection via Elastic Net Regularization,we applied DLNMs to evaluate the lagged effects of risk factors.Disability was defined as the presence of any difficulties in basic activities of daily living(BADL).The cumulative relative risk(CRR)was calculated by summing the lag-specific risk estimates,representing the cumulative disability risk over the specified lag period.Effect modifications and sensitivity analyses were also performed.Results This study included a total of 2,318 participants.Early-phase lag factors,such as the difficulty in stooping(CRR=3.58;95%CI:2.31-5.55;P<0.001)and walking(CRR=2.77;95%CI:1.39-5.55;P<0.001),exerted the strongest effects immediately upon occurrence.Mid-phase lag factors,such as arthritis(CRR=1.51;95%CI:1.10-2.06;P=0.001),showed a resurgence in disability risk within 2-3 years.Late-phase lag factors,including depressive symptoms(CRR=2.38;95%CI:1.30-4.35;P<0.001)and elevated systolic blood pressure(CRR=1.64;95%CI:1.06-2.79;P=0.02),exhibited significant long-term cumulative risks.Conversely,grip strength(CRR=0.80;95%CI:0.54-0.95;P=0.02)and social participation(CRR=0.89;95%CI:0.73-0.99;P=0.04)were significant protective factors.Conclusions The findings underscore the importance of tailored interventions that account for various lag characteristics of different factors to effectively mitigate disability risk.Future studies should explore the underlying biological and sociological mechanisms of these lagged effects,identify intervention strategies that target risk factors with different lagged patterns,and evaluate their effectiveness.
基金supported by grants from the National Key R&D Program of China[Grant Nos.2020YFC2003000 and 2020YFC2003001]the National High Level Hospital Clinical Research Funding(BJ-2023-074 and BJ-2023-018)+1 种基金Beijing Municipal Science&Technology Commission“AI+Health Collaborative Innovation Cultivation”Project(Z221100003522015)the Non-Profit Central Research Institute Fund of the Chinese Academy of Medical Sciences(2021-JKCS-024).
文摘Objective Frailty is becoming increasingly common among aging adults.Frailty transitionis shaped by biological,social,psychological,and environmental factors.This study investigated combined effects of protective factors on frailty transition by constructing a Protection Index(PI)to guide targeted interventions.Methods Data were extracted from the 4th Sample Survey of the Aged Population in Urban and Rural China,including baseline(2017)and follow-up(2019)surveys.Frailty was assessed using the Frailty Index(FI),whereas the PI measured protective factors.Frailty transitions over 2 years were analyzed prospectively.Pearson’s correlation examined the relationship between FI and PI,and logistic regression assessed the effects of PI on frailty transitions.Results This study included 9,093 older adults.FI values increased with age and were higher in women,whereas PI values decreased with age and were higher in men.Over 2 years,56.2%of the participants showed a stable frailty status,14.2%improved,and 29.6%worsened.Negative transitions were more common than positive transitions,with transitions occurring most frequently between adjacent states.The PI was moderately negatively correlated with the FI(r=−0.349,P<0.001).A higher PI was associated with a lower risk of negative transitions among robust and prefrail individuals(OR=0.989,0.981,both P<0.05),but showed no significant effect among those with existing frailty.Conclusion Negative frailty transitions were more common with advancing age.Enhancing PI may help prevent negative frailty transitions among robust and pre-frail older adults,underscoring the value of early interventions.
基金supported by Guangdong Basic and Applied Basic Research Foundation(Nos.2021B1515120055 and 2022A1515010499).
文摘Urban rainwater runoff is an important source of nonpoint source pollution due to its transport of diverse contaminants,including polycyclic aromatic hydrocarbons(PAHs)and chlorinated derivatives.Importantly,these chlorinated polycyclic aromatic hydrocarbons(Cl-PAHs)exhibit elevated toxicological potential compared to their non-halogenated parent compounds.In this study,we proposed an approach that combined multivariate receptor model with integration of SHapley Additive exPlanations and Random Forest model.This method identifies the possible sources and reveals the impact of source apportionment results and environmental driving factors(such as geographical and meteorological data)on pollutant concentrations.Sixteen PAHs and nine ClPAHs were detected in 79 runoff samples from all three sites.TheΣ_(16)PAHs average concentration(2923.93 to 6071.83 ng/L)was significantly higher than theΣ_(9)Cl-PAHs(384.34 to 1314.73 ng/L).The source apportionment was conducted by positive matrix factorization(PMF),and six potential pollution sources for PAHs and three for Cl-PAHs were quantified.PAHs primarily originate from the combustion of fossil fuels such as traffic,industrial emissions and coal tar,while Cl-PAHs are mainly derived from atmospheric deposition and industrial emissions.Meanwhile,the self‑organizing map classified PAHs and Cl-PAHs into 2 and 3 groups,respectively.The k-means algorithm yielded 4 clusters for runoff samples.Among machine learning models,Random Forest(RF)demonstrated optimal predictive performance and integrated with SHapley Additive exPlanations(RF-SHAP)revealed the effects of driving factors on the predicted concentration of PAHs and Cl-PAHs in urban runoff samples.
基金supported by the Key R&D Projects in Hainan Province(No.ZDYF2024SHFZ085)Hainan Provincial Joint Project of Sanya Yazhou Bay Science and the Technology City(No.2021CXLH0009)the National Natural Science Foundation of China(No.42376234).
文摘This paper takes the water body of Daliao River-Liaodong Bay as the research object,divides it into three regions:river,estuary,and offshore,and analyzes the changes of antibiotics and antibiotic resistance genes(ARGs)from inland rivers to the sea and the environmental impact factors from this perspective.The results showed that in general,the pollution of antibiotics and ARGs in Daliao River-Liaodong Bay belonged to the medium-low level,and levels of antibiotics and ARGs were nd–106.23 ng/L and nd–1.95×10^(8)copies/L,respectively.The concentrations and types of antibiotics and ARGs decreased from inland to sea regions.Analysis of the distributional characteristics of antibiotics and ARGs from a regionalized perspective revealed significant differences among the three regions in sulfonamide antibiotics,tetracycline antibiotics,and dominant ARGs.Sulfonamide antibiotic levels were significantly higher in the estuarine zone than in the riverine and offshore zones;tetracycline antibiotic levels were significantly higher in the riverine and estuarine zones than in the offshore zone.Aminoglycosides were dominant in the riverine and estuarine zones,and macrolides were dominant in the offshore zone.We characterized the effects of environmental factors on the assignment of antibiotics and ARGs and found that overall temperature contributed the most to variation in antibiotics and ARGs;the contribution of dissolved oxygen was the lowest.The estuarine zone was most affected by these factors,followed by the offshore zone and finally the riverine zone.
基金jointly supported by the National Natural Science Foundation of China(42474156)the Technical Service Project of China Oilfield Services Limited(YJB23YF001)。
文摘The Liushagang Formation in the Weixinan Depression,Beibu Gulf Basin,southern China,is one of the key stratigraphic units for offshore shale oil exploration in the country.The shale oil reservoirs in the formation are characterized by low porosity,low permeability and strong heterogeneity,which constrain the precise evaluation of reservoir properties,the accurate prediction of sweet spots,and efficient development.This study integrates core observation,mineralogical analysis,and multi-scale pore characterization to systematically clarify the variations in reservoir properties and their controlling mechanisms.The results show that the physical properties of matrix-type,lamina-type,and interlayer-type reservoirs exhibit distinct stepwise variations:Among these,interlayer-type reservoirs show the greatest development potential(quartz content 65%,average porosity 15%,permeability>10 mD,and mobile fluid saturation 60%),whereas matrix-type reservoirs are the least favorable(dominated by 40 nm nanoscale pores,and clay content 45%).Mineral composition,sedimentary-diagenetic processes,and fault systems collectively control reservoir property heterogeneity.Quartz-rich rigid frameworks resist compaction,resulting in a porosity increase by approximately 2% for every 10%rise in q uartz content.The transformation of clay minerals induces stratified porosity zoning within the layered reservoirs,while fault systems enhance heterogeneity through the development of fracture networks and acid-induced dissolution.This study provides theoretical support for the evaluation and development of shale oil sweet spots in the Weixinan Depression and holds practical significance for the commercial development of shale oil in China's offshore areas.
基金supported by the National Natural Science Foundation of China(Grant Nos.31870695,32071828)the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD).
文摘Flower color is an essential trait in ornamental plant breeding. Lycoris longituba is a popular ornamental plant native to central eastern China. The decrease in anthocyanin accumulation causes L. longituba petal color fading during flower development, which considerably affects the ornamental value of L. longituba. However, mechanisms underlying anthocyanin biosynthesis inhibition during L. longituba petal development remain unclear. In this study, three LlDFR genes were confirmed to be involved in anthocyanin biosynthesis and LlDFRc exerted the strongest promoting effect on anthocyanin accumulation. According to the correlation analysis results, LlbHLH12 exhibited the strongest negative correlation with LlDFRc. Quantitative real-time PCR analysis showed that LlbHLH12 was highly expressed during the medium bud and full bloom stages of flower development. LlbHLH12 was identified as a member of subgroup XII of bHLH transcription factor family. Subcellular localization and transcriptional activation ability assay revealed that LlbHLH12 was located in the nucleus without transcriptional activation activity. Overexpression of LlbHLH12 in Nicotiana tabacum and L. longituba inhibited anthocyanin accumulation by suppressing the expression of anthocyanin biosynthetic pathway genes. Furthermore, yeast one-hybrid, dual-luciferase, and β-glucuronidase activity assays showed that LlbHLH12 directly bound to the promoters of LlPAL and LlDFRc and suppressed their expression to inhibit anthocyanin biosynthesis. Overall, our study identified a novel bHLH repressor negatively regulating anthocyanin biosynthesis and provided new insights into the molecular mechanisms underlying color fading in L. longituba petals.
基金Yunnan Provincial High-Level Traditional Chinese Medicine Talent Training ProjectYunnan Provincial Department of Science and Technology Traditional Chinese Medicine Basic Research Joint Special Project(Project No.:202101AZ070001-138)。
文摘Objective:Based on the theory of“Taiyang governs tendons”,to explore the effect of acupuncture at points of the Bladder Meridian of Foot-Taiyang on the expression of serum inflammatory factors in rabbit models of cervical spondylosis.Methods:Thirty New Zealand white rabbits were randomly divided into a blank group,a model group,and a treatment group,with 10 rabbits in each group.The models of cervical spondylosis in the model group and treatment group were established by long-term head-down flexion combined with cold-damp stimulation.After modeling,the treatment group received acupuncture at three points(Kunlun,Weizhong,and Feishu)on the Bladder Meridian of Foot-Taiyang,once a day for 20 minutes each time,for 14 consecutive days;the model group and blank group received no therapeutic intervention.After the intervention,cardiac blood was collected from all rabbits to detect the expression levels of serum inflammatory factors IL-6,TNF-α,and IL-1β.Meanwhile,cervical muscle tissue was collected,stained with HE,and the morphological changes of the posterior cervical muscle tissue in each group were observed under an optical microscope.Results:After modeling,the levels of inflammatory factors in the serum of rabbits in the model group and treatment group were significantly increased compared with those before modeling,with a statistically significant difference(p<0.01).After intervention,the serum inflammatory factors in the treatment group decreased significantly compared with those in the model group,and the difference was statistically significant(p<0.01).Conclusion:Acupuncture at points of the Bladder Meridian of Foot-Taiyang in rabbit models of cervical spondylosis can reduce the serum levels of inflammatory factors TNF-α,IL-1β,and IL-6.
文摘Objectives:Uretero-enteric strictures are feared complications following cystectomy.Despite surgical advancements,particularly the rise of robot-assisted approaches,the risk factors associated with these strictures remain poorly defined.This study aimed to identify the risk factors associated with uretero-enteric anastomotic strictures after cystectomy,according to the surgical approach and type of urinary diversion(extracorporeal vs.intracorporeal).Methods:We conducted a single-center retrospective study including 340 patients who underwent cystectomy between 2016 and 2024 at Tours University Hospital.Clinical,biological,perioperative,and postoperative data were analyzed.The occurrence of a uretero-ileal anastomotic stricture was defined radiologically by a uretero-hydronephrosis≥20 mm.We constructed and analyzed a learning curve for robotic surgery with intracorporeal urinary diversion.Results:Strictures occurred in 60 patients(17.6%).On multivariable analysis,reduced preoperative glomerular filtration rate(odds ratio[OR]=1.45 per 10 mL/min decrease,95%CI[1.12-1.87],p=0.004),elevated creatinine(OR=1.30 per 10μmol/L increase,95%CI[1.05-1.61],p=0.018),prior myocardial infarction(OR=2.25,95%CI[1.10-4.62],p=0.027),and postoperative urinary tract infection(OR=3.10,95%CI[1.65-5.82],p<0.001)were independent predictors.Most strictures were left-sided.Intracorporeal robotic diversion had a higher,though non-significant,stricture rate(21.5%vs.15.2%,OR=1.52,p=0.12).Stricture rates fell markedly after 20 robotic cases per surgeon(23.8%vs.12.1%).Conclusion:Uretero-enteric strictures are multifactorial,strongly influenced by baseline renal function,cardiovascular comorbidity,and postoperative infection.Robotic intracorporeal diversion shows a learning curve effect,underlining the importance of surgical expertise and infection prevention in reducing risk.
基金supported by the National Natural Science Foundation of China(Nos.42201152,42371139)the Gansu Province Natural Science Foundation Key Project(No.23JRRA858)+2 种基金the Fundamental Research Funds for the Central Universities,China University of Geosciences(Wuhan)(No.CUG240629)the“CUG Scholar”Scientific Research Funds at China University of Geosciences(Wuhan)(No.2023092)EJRP is supported by the German Research Foundation(DFG)through the Heisenberg Programme“Multiscale Simulation of Earth Surface Processes”。
文摘Iron isotopes,represented byδ^(56)Fe,serve as valuable tools for constraining the surface iron processes and as potent tracers for studying the biogeochemical cycle of iron.Nevertheless,our comprehension of iron isotopes in the land surface processes of the Tibetan Plateau(TP)remains limited.In this study,we present the results of iron isotopic composition(δ^(56)Fe)in the surface soils of the TP,encompassing both glacial and non-glacial regions characterized by rugged and flat topographies.Our findings reveal that soilδ^(56)Fe values ranged from-0.01‰±0.05‰to 0.14‰±0.01‰,with the highest values observed in eastern locations(0.14‰)and the lowest appeared in the northeast(-0.1‰).On a global scale,theδ^(56)Fe values observed in Tibetan soils exhibited relatively small variability compared to reservoirs marked by significant iron isotope fractionation.By contrast,the range of TP soils measured here was slightly larger than that of the Chinese Loess.Furthermore,we discerned noticeable spatial variations inδ^(56)Fe across the large-scale region of TP,indicating a gradual increase trend from the northeast to the south and from the west to the east.These regional disparities inδ^(56)Fe likely arise from a combination of constraining factors,including differences in mineralogy,lithological variations,organic matter content,and variations in chemical weathering intensity.This study is pivotal in advancing our understanding of land surface iron isotope dynamics and its role in the biogeochemical cycle within the TP region.
基金China Health and Retirement Longitudinal Study(CHARLS)the 2022-2023 Nursing Research Project of Chinese Medical Association Publishing House(Grant No.CMAPH-NRD2022024)。
文摘Background:The trajectory of intrinsic capacity(IC)among the older population is characterized by its diversity and is predictive of adverse health outcomes such as disability,nursing home admission,decline in quality of life,and mortality.Gaining an understanding of the trajectory of IC and the factors that influence it is of paramount importance for fostering healthy aging.This research is focused on exploring the trajectory of IC among older adults in China and examining the factors that influence it.Methods:This observational longitudinal cohort study leveraged data from the China Health and Retirement Longitudinal Study(CHARLS),which was conducted in the years 2011,2013,and 2015.For the purpose of this analysis,a total of 2,233 participants who were aged 60 and over were included.A Growth Mixture Model(GMM)was utilized to define trajectory categories for IC.Influential factors were ascertained based on the health ecology model,and binary logistic regression analysis was utilized to investigate the factors linked with the different trajectory categories.Results:Two distinct trajectory classes of IC were identified:Class 1,the normal-stable group,encompassed 90.4%of the elderly population,while Class 2,the declining group,made up 9.6%.Advanced age and a history of stroke were found to be significantly associated with Class 2.High scores in activities of daily living(ADL),employment status,receiving primary or junior high school education,and residence in the East or Central regions of China were significantly linked with Class 1.Conclusion:The trajectory of IC among older Chinese adults is marked by its heterogeneity.Advanced age and a history of stroke are significant risk factors for a declining IC trajectory,while higher ADL scores,being employed,receiving primary or junior high school education,and residing in the East or Central regions of China are protective factors associated with a stable IC trajectory.Healthcare institutions must closely monitor IC levels and understand these trajectory patterns to implement personalized and targeted interventions promptly to maintain IC at a healthy level and advocate for healthy aging.
文摘BACKGROUND Esophageal cancer is highly malignant and frequently metastasizes to bones.Concomitant depression worsens prognosis;however,its incidence and determinants in this specific population remain poorly defined.AIM To determine the incidence of depression and its independent risk factors in patients with esophageal cancer and bone metastasis.METHODS A total of 100 consecutive eligible patients admitted between March 2022 and March 2025 were recruited.Depression was assessed with the Beck Depression Inventory-II;scores>4 defined the depression group(n=42)and scores≤4 the non-depression group(n=58).Demographic,clinical,and laboratory variables were compared between the groups.Multivariate logistic regression was used to identify independent risk factors.RESULTS Depression prevalence was 42.0%(42/100).Univariate analysis demonstrated significant differences in monthly per-capita household income,education level,social support,sleep disorders,and serum high-sensitivity C-reactive protein(all P<0.05);no differences were observed in sex,age,tumor characteristics,or other laboratory indices(all P>0.05).Multivariable analysis revealed the following independent risk factors for depression:Low income[odds ratio(OR)=2.66,95%confidence interval(CI):1.17-6.03],low education(OR=2.46,95%CI:1.08-5.61),low social support(OR=5.10,95%CI:1.81-14.39),sleep disorders(OR=2.79,95%CI:1.23-6.35),and elevated high-sensitivity C-reactive protein(OR=1.31 per unit increase,95%CI:1.18-1.46).CONCLUSION Depression is common among patients with esophageal cancer and bone metastasis.Low socioeconomic status,limited education,insufficient social support,sleep disturbances,and systemic inflammation were independent predictors.Interventions that address these modifiable factors may reduce depression risk in this population.
基金supported by the National Key Research and Development Program of China to W.Tian (2022YFA1104400)the National Natural Science Foundation of China to T.Chen (82100959)a grant from the Sichuan Science and Technology Program to Z.Liu (2024YFFK0068)。
文摘Tooth morphogenesis is orchestrated by a complex interplay of signaling pathways and transcription factors that control cell proliferation,apoptosis,and differentiation,with the Wnt/β-catenin signaling pathway playing a pivotal role.However,the comprehensive regulatory mechanisms of Wnt/β-catenin signaling remain largely unclear.Smad7,a key antagonist of the TGF-βsuperfamily,is essential for maintaining tissue homeostasis and ensuring proper cellular function.Our previous study has demonstrated that Smad7 knockout in mice leads to impaired proliferative property of tooth germ cells,resulting in small molars.Here,we identified SMAD7 expression in human dental papilla and dental pulp,colocalized with β-CATENIN and cell proliferationrelated proteins.RNA sequencing analysis revealed a significant reduction in Wnt signaling activity in Smad7-deficient mouse tooth germs.Using lentivirus transfection,we established SMAD7-knockdown human dental papilla stem cells,which manifested remarkably blunt proliferation rate,along with diminished Wnt signaling activity.In vivo transplantation investigations further revealed the indispensable role of SMAD7 in dentin formation.Mechanistically,we revealed that β-CATENIN interacts with P-SMAD2/3 and SMAD7 through co-immunoprecipitation and yeast two-hybrid assays.Inhibition of TGF-β pathway or disruption of SMAD7/β-CATENIN transcription factor complex formation potently impacted Wnt/β-catenin activities,indicating both direct and indirect regulatory mechanisms.These findings highlight the critical role of SMAD7 in the proliferation and diffe rentiation of human dental stem cells,which could contribute to dental tissue regeneration and engineering.
基金Supported by Chengdu Municipal Science and Technology Bureau Key R&D Support Program(No.2023-YF09-00041-SN)。
文摘AIM:To assess risk factors for epiretinal membranes(ERM)and examine their interactions in a nationally representative U.S.dataset.METHODS:Data from the 2005–2008 National Health and Nutrition Examination Survey(NHANES)were analyzed,a nationally representative U.S.dataset.ERM was identified via retinal imaging based on the presence of cellophane changes.Key predictors included age group,eye surgery history,and refractive error,with additional demographic and health-related covariates.Weighted univariate and multiple logistic regression models were used to assess associations and interaction effects between eye surgery and refractive error.RESULTS:Totally 3925 participants were analyzed.Older age,eye surgery,and refractive errors were significantly associated with ERM.Compared to those under 65y,the odds ratio(OR)for ERM was 3.08 for ages 65–75y(P=0.0014)and 4.76 for ages 75+years(P=0.0069).Eye surgery increased ERM risk(OR=3.48,P=0.0018).Moderate to high hyperopia and myopia were also associated with ERM(OR=2.65 and 1.80,respectively).A significant interaction between refractive error and eye surgery was observed(P<0.0001).Moderate to high myopia was associated with ERM only in those without eye surgery(OR=1.92,P=0.0443).Eye surgery was most strongly associated with ERM in the emmetropic group(OR=3.60,P=0.0027),followed by the moderate to high myopia group(OR=3.01,P=0.0031).CONCLUSION:ERM is significantly associated with aging,eye surgery,and refractive errors.The interaction between eye surgery and refractive error modifies ERM risk and highlights the importance of considering combined effects in clinical risk assessments.These findings may help guide individualized ERM risk assessment that may inform personalized approaches to ERM prevention and management.
