Dear Editor,Heart failure(HF)is a common multi-faceted and life-threatening syndrome,of which up to 23%occur acute kidney injury(AKI)[1].HF-related AKI is largely overlooked or delayed in identification[2].Approximate...Dear Editor,Heart failure(HF)is a common multi-faceted and life-threatening syndrome,of which up to 23%occur acute kidney injury(AKI)[1].HF-related AKI is largely overlooked or delayed in identification[2].Approximately 85%of AKI cases that occurred during cardiac hospitalization in China were either ignored or identifi ed too late[3].Currently,there are no specific guidelines for the management of HF-related AKI.Hence,it is essential to identify patients at the risk of developing AKI and intervene promptly.展开更多
Background: Forest canopy height is a key forest structure parameter. Precisely estimating forest canopy height is vital to improve forest management and ecological modelling. Compared with discrete-return LiDAR(Light...Background: Forest canopy height is a key forest structure parameter. Precisely estimating forest canopy height is vital to improve forest management and ecological modelling. Compared with discrete-return LiDAR(Light Detection and Ranging), small-footprint full-waveform airborne LiDAR(FWL) techniques have the capability to acquire precise forest structural information. This research mainly focused on the influence of voxel size on forest canopy height estimates.Methods: A range of voxel sizes(from 10.0 m to 40.0 m interval of 2 m) were tested to obtain estimation accuracies of forest canopy height with different voxel sizes. In this study, all the waveforms within a voxel size were aggregated into a voxel-based LiDAR waveform, and a range of waveform metrics were calculated using the voxelbased LiDAR waveforms. Then, we established estimation model of forest canopy height using the voxel-based waveform metrics through Random Forest(RF) regression method.Results and conclusions: The results showed the voxel-based method could reliably estimate forest canopy height using FWL data. In addition, the voxel sizes had an important influence on the estimation accuracies(R2 ranged from 0.625 to 0.832) of forest canopy height. However, the R2 values did not monotonically increase or decrease with the increase of voxel size in this study. The best estimation accuracy produced when the voxel size was 18 m(R2= 0.832, RMSE = 2.57 m, RMSE% = 20.6%). Compared with the lowest estimation accuracy, the R2 value had a significant improvement(33.1%) when using the optimal voxel size. Finally, through the optimal voxel size, we produced the forest canopy height distribution map for this study area using RF regression model. Our findings demonstrate that the optimal voxel size need to be determined for improving estimation accuracy of forest parameter using small-footprint FWL data.展开更多
Clear cell renal cell carcinoma(ccRCC)is a heterogeneous malignancy with poor prognosis.Methylation of the N6 position of adenosine(m6A),the most common epigenetic modification in both messenger RNAs and noncodi...Clear cell renal cell carcinoma(ccRCC)is a heterogeneous malignancy with poor prognosis.Methylation of the N6 position of adenosine(m6A),the most common epigenetic modification in both messenger RNAs and noncoding RNAs,has been reported to regulate the initiation and progression of ccRCC.However,whether and how m6A-related long noncoding RNAs(m6ArlncRNAs)signify the progression of ccRCC remain unclear.We found m6ArlncRNAs are effective signatures illustrating immune landscape and risk stratification in ccRCC.We identified two differently expressed m6ArlncRNAs(DEm6ArlncRNAs),AC008870.2 and EMX2OS,as independent risk factors for overall survival of ccRCC patients,by applying stringent variable selection procedure to data from the Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma project.The risk score generated from the DEm6ArlncRNA expression categorizes patients into either high or low-risk groups,between which,enrichment analysis indicated an enrichment in immune-related pathways.Under different DEm6ArlncRNA transcription pattern,the two risk groups differ in immune cell population composition and expression levels of therapy targeting genes.Nanoparticle is satisfactory strategy to delivering therapeutic drugs.For further clinical translation,we designed a novel nanoparticle delivery system packaged STM2457(STM@8P4 NPs),which selectively inhibits AC008870.2-correlated m6A writer.STM@8P4 NPs loaded drug successfully with uniform particle size,long-term stability and high release efficiency.STM@8P4 NPs can easily enter ccRCC cells and showed a highly efficient ccRCC killing activity in vitro.Our results therefore indicate that m6ArlncRNAs expression can depict tumor microenvironment,predict prognosis for ccRCC patient and give hint to therapeutic strategies in ccRCC.展开更多
Hyperuricemia is considered a modifiable risk factor for the development and progression of chronic kidney disease(CKD).There remains controversy over the effects of urate-lowering therapy(ULT)on kidney outcomes in pa...Hyperuricemia is considered a modifiable risk factor for the development and progression of chronic kidney disease(CKD).There remains controversy over the effects of urate-lowering therapy(ULT)on kidney outcomes in patients with CKD and hyperuricemia.We conducted a cohort study using a sequential target trial emulation framework to evaluate the composite kidney outcomes in patients with CKD and hyperuricemia initiating ULT versus supportive care alone(control).A total of 269,831 eligible person trials(56,936 unique persons)with CKD and hyperuricemia who had received supportive care were included from the China Renal Data System database.The primary outcome was a composite kidney outcome defined as a greater than 40%decline in the estimated GFR or end-stage kidney disease(ESKD).The 3-year cumulative incidence rates of the composite kidney outcomes were 19.69%and 23.22%in the ULT group and the control group,respectively,with a risk difference of−3.53%(95%CI,−5.25%to−1.94%).The estimated 3-year risk differences for ESKD,all-cause mortality,and cardiovascular mortality were−1.88%(−3.28%to−0.45%),−2.25%(−3.02%to−1.51%),and−0.69%(−1.33%to−0.05%),respectively,all of which favor the ULT group.The estimates from the subgroup and sensitivity analyses were consistent with those from the primary analysis.Thus,ULT is associated with a significantly lower risk of kidney disease progression and mortality in patients with stage 3 or higher CKD and hyperuricemia.Large randomized clinical trials with refined designs are needed to assess the effect of ULT in these patients.展开更多
The growing demand for high-quality,temporally consistent satellite imagery for environmental monitoring and land use research has exposed a substantial data gap in China.Unlike the United States,which provides Analys...The growing demand for high-quality,temporally consistent satellite imagery for environmental monitoring and land use research has exposed a substantial data gap in China.Unlike the United States,which provides Analysis Ready Data(ARD)for Landsat imagery,Chinese researchers currently lack an equivalent resource,resulting in time-intensive data processing and potential research inaccuracies.In this study,we introduce the first seamless,annual Leaf-On Landsat composite data cube for China,covering 1985 to 2023.Leveraging the comprehensive image compositing approach,our dataset harmonizes images across multiple Landsat sensors and addresses key challenges such as cloud and shadow contamination,reflectance consistency,and the data gaps.Over this period,an average of 7.9% of data remained unavailable due to cloud/shadow cover and limited data accessibility.To address this,we applied segmented linear interpolation to generate proxies,which we validated for stability,achieving high consistency with actual Landsat references for both stable and dynamic pixel sequences(r=0.77 to 0.99,root mean square error[RMSE]=0.0043 to 0.0232).Additionally,representativeness assessments indicate a strong correlation between our composites and Landsat reference images(closest to day of year 225)(r=0.75 to 0.94,RMSE=0.025 to 0.063),confirming that these composites effectively capture seasonal vegetation conditions across diverse land cover types.This dataset is expected to help reduce preprocessing efforts for researchers and provide a solid basis for land use monitoring and environmental assessments across China.展开更多
Diabetic nephropathy(DN)is a severe complication of diabetes,characterized by changes in kidney structure and function.The natural product rosmarinic acid(RA)has demonstrated therapeutic effects,including anti-inflamm...Diabetic nephropathy(DN)is a severe complication of diabetes,characterized by changes in kidney structure and function.The natural product rosmarinic acid(RA)has demonstrated therapeutic effects,including anti-inflammation and anti-oxidative-stress,in renal damage or dysfunction.In this study,we characterized the heterogeneity of the cellular response in kidneys to DN-induced injury and RA treatment at single cell levels.Our results demonstrated that RA significantly alleviated renal tubular epithelial injury,particularly in the proximal tubular S1 segment and on glomerular epithelial cells known as podocytes,while attenuating the inflammatory response of macrophages,oxidative stress,and cytotox-icity of natural killer cells.These findings provide a comprehensive understanding of the mechanisms by which RA alleviates kidney damage,oxidative stress,and inflammation,offering valuable guidance for the clinical application of RA in the treatment of DN.展开更多
Early insulin therapy is capable to achieve glycemic control and restoreβ-cell function in newly diagnosed type 2 diabetes(T2D),but its effect on cardiovascular outcomes in these patients remains unclear.In this nati...Early insulin therapy is capable to achieve glycemic control and restoreβ-cell function in newly diagnosed type 2 diabetes(T2D),but its effect on cardiovascular outcomes in these patients remains unclear.In this nationwide real-world study,we analyzed electronic health record data from 19 medical centers across China between 1 January 2000,and 26 May 2022.We included 5424 eligible patients(mean age 56 years,2176 women/3248 men)who were diagnosed T2D within six months and did not have prior cardiovascular disease.Multivariable Cox regression models were used to estimate the associations of early insulin therapy(defined as the first-line therapy for at least two weeks in newly diagnosed T2D patients)with the incidence of major cardiovascular events including coronary heart disease(CHD),stroke,and hospitalization for heart failure(HF).During 17,158 persons years of observation,we documented 834 incident CHD cases,719 stroke cases,and 230 hospitalized cases for HF.Newly diagnosed T2D patients who received early insulin therapy,compared with those who did not receive such treatment,had 31%lower risk of incident stroke,and 28%lower risk of hospitalization for HF.No significant difference in the risk of CHD was observed.We found similar results when repeating the aforesaid analysis in a propensity-score matched population of 4578 patients and with inverse probability of treatment weighting models.These findings suggest that early insulin therapy in newly diagnosed T2D may have cardiovascular benefits by reducing the risk of incident stroke and hospitalization for HF.展开更多
Our understanding of the protective immunity,particularly the long-term dynamics of neutralizing antibody(NAbs)response to SARS-CoV-2,is currently limited.We enrolled a cohort of 545 COVID-19 patients from Hubei,China...Our understanding of the protective immunity,particularly the long-term dynamics of neutralizing antibody(NAbs)response to SARS-CoV-2,is currently limited.We enrolled a cohort of 545 COVID-19 patients from Hubei,China,who were followed up up to 7 months,and determined the dynamics of NAbs to SARS-CoV-2 by using a surrogate virus neutralization test(sVNT).In our validation study,sVNT IC50 titers and the neutralization rate measured at a single dilution(1:20)were well correlated with FRNT titers(r=0.85 and 0.84,respectively).The median time to seroconversion of NAbs was 5.5 days post onset of symptoms.The rate of positive sVNT was 52% in the first week,reached 100% in the third week,and remained above 97% till 6 months post onset.Quantitatively,NAbs peaked in the fourth week and only a quarter of patients had an estimated peak titer of>1000.NAbs declined with a half-time of 61 days(95%CI:49-80 days)within the first two months,and the decay deaccelerated to a half-time of 104 days(95%CI:86-130 days)afterward.The peak levels of NAbs were positively associated with severity of COVID-19 and age,while negatively associated with serum albumin levels.The observation that the low-moderate peak neutralizing activity and fast decay of NAbs in most naturally infected individuals called for caution in evaluating the feasibility of antibody-based therapy and vaccine durability.NAbs response positively correlated with disease severity,warning for the possibility of repeat infection in patients with mild COVID-19.展开更多
Ice,Cloud,and land Elevation Satellite-2(ICESat-2)provides effective photon-counting light detection and ranging(LiDAR)data for estimating forest height across extensive geographical areas.Although prior studies have ...Ice,Cloud,and land Elevation Satellite-2(ICESat-2)provides effective photon-counting light detection and ranging(LiDAR)data for estimating forest height across extensive geographical areas.Although prior studies have illustrated canopy conditions during leaf-on and leafoff phases may influence ICESat-2 derived forest heights,a comprehensive understanding of this effect remains incomplete.This study seeks to comprehensively assess how varying canopy conditions(leaf-on/leaf-off)affect ICESat-2 forest height retrieval and modelling.First,the accuracies of ICESat-2 terrain and canopy heights under leafon and leaf-off conditions were validated.Second,random forest algorithm was utilized to model forest height by integrating ICESat-2,Sentinel-2,and other ancillary datasets.Finally,we evaluated the influence of leaf-on and leaf-off conditions on forest height retrieval and modelling.Results reveal higher consistency between ICESat-2 and airborne LiDAR-derived terrain heights compared to the agreement between two canopy height datasets.Accuracies of ICESat-2 terrain and canopy heights are higher under leaf-off conditions in contrast to leafon conditions.Notably,the accuracies of ICESat-2 terrain and canopy heights under various conditions are closely linked to canopy cover.Furthermore,the accuracy of forest height modelling can be enhanced by combining ICESat-2 data collected during both leaf-on and leaf-off seasons with further eliminating low-quality samples.展开更多
Communication tower(CT)and its accessory equipment(AE)such as radio frequency equipment(RFE)and antenna,are essential in providing highspeed and stable mobile network services.It is necessary to routinely monitor the ...Communication tower(CT)and its accessory equipment(AE)such as radio frequency equipment(RFE)and antenna,are essential in providing highspeed and stable mobile network services.It is necessary to routinely monitor the security and stability of CT and AE for seamless communication.There is limited research on fine segmentation of communication base station objects.This paper proposes a method for accurately segmenting the point cloud of the CT and AE from Terrestrial Laser Scanning(TLS)data.At first,the CT point cloud is accurately segmented based on region growing and Random Sample Consensus(RANSAC).Then,the point cloud of pole-shaped apart is extended to a certain distance to obtain the buffer point cloud containing AE.Normal Differential(ND)clustering is employed to obtain several groups of clusters containing planes,and calculate each plane's filling rate and size.Finally,the cluster type(such as antenna,RFE,or other)is distinguished.The experimental results demonstrate that the point-based average F1-score of CTs is 98.70%,the point-based and object-based average F1-scores of antennas are 96.09%and 97.93%,and the corresponding values for the RFE are 89.89%and 90.00%,respectively,indicating the optimal performance of the proposed method.展开更多
Spaceborne photon-counting LiDAR is significantly affected by noise,and existing denoising algorithms cannot be universally adapted to different surface types and topographies under all observation conditions.Accordin...Spaceborne photon-counting LiDAR is significantly affected by noise,and existing denoising algorithms cannot be universally adapted to different surface types and topographies under all observation conditions.Accordingly,a new denoising method is presented to extract signal photons adaptively.The method includes two steps.First,the local neighborhood radius is calculated according to photons’density,then thefirst-step denoising process is completed via photons’curvature feature based on KNN search and covariance matrix.Second,the local photonfiltering direction and threshold are obtained based on thefirst-step denoising results by RANSAC and elevation frequency histogram,and the local dense noise photons that thefirst-step cannot be identified are further eliminated.The following results are drawn:(1)experimental results on MATLAS with different topographies indicate that the average accuracy of second-step denoising exceeds 0.94,and the accuracy is effectively improves with the number of denoising times;(2)experiments on ICESat-2 under different observation conditions demonstrate that the algorithm can accurately identify signal photons in different surface types and topographies.Overall,the proposed algorithm has good adaptability and robustness for adaptive denoising of large-scale photons,and the denoising results can provide more reasonable and reliable data for sustainable urban development.展开更多
Objective:To identify the effectiveness of a personnel protection strategy in protection of healthcare workers from SARS-CoV-2 infection.Design:During the COVID-19 pandemic,943 healthcare staff sent from Guangzhou to ...Objective:To identify the effectiveness of a personnel protection strategy in protection of healthcare workers from SARS-CoV-2 infection.Design:During the COVID-19 pandemic,943 healthcare staff sent from Guangzhou to Wuhan to care for patients with suspected/confirmed COVID-19 received infection precaution training before their mission and were equipped with Level 2/3 personal protective equipment(PPE),in accordance with guidelines from the National Health Commission of China.We conducted a serological survey on the cumulative attack rate of SARS-CoV-2 among the healthcare workers sent to Wuhan and compared the seropositive rate to that in local healthcare workers from Wuhan and Jingzhou.Results:Serial tests for SARS-CoV-2 RNA and tests for SARS-CoV-2 immunoglobulin M and G after the 6-8 week mission revealed a zero cumulative attack rate.Among the local healthcare workers inWuhan and Jingzhou of Hubei Province,2.5%(113 out of 4495)and 0.32%(10 out of 3091)had RT-PCR confirmed COVID-19,respectively.The seropositivity for SARS-CoV-2 antibodies(IgG,IgM,or both IgG/IgM positive)was 3.4%(53 out of 1571)in local healthcare workers from Wuhan with Level 2/3 PPE working in isolation areas and 5.4%(126 out of 2336)in healthcare staff with Level 1 PPE working in non-isolation medical areas,respectively.Conclusions and relevance:Our study confirmed that adequate training/PPE can protect medical personnel against SARS-CoV-2.展开更多
Recent advancements in the field of medical artificial intelligence(AI)have led to the widespread adoption of foundational and large language models.This review paper explores their applications within medical AI,intr...Recent advancements in the field of medical artificial intelligence(AI)have led to the widespread adoption of foundational and large language models.This review paper explores their applications within medical AI,introducing a novel classification framework that categorizes them as disease-specific,general-domain,and multi-modal models.The paper also addresses key challenges such as data acquisition and augmentation,including issues related to data volume,annotation,multi-modal fusion,and privacy concerns.Additionally,it discusses the evaluation,validation,limitations,and regulation of medical AI models,emphasizing their transformative potential in healthcare.The importance of continuous improvement,data security,standardized evaluations,and collaborative approaches is highlighted to ensure the responsible and effective integration of AI into clinical applications.展开更多
Airborne laser scanning(ALS)has recently been identified as a potential tool in topographic mapping for archaeological prospection.However,most existing applications in this field refers to manned ALS systems,for whic...Airborne laser scanning(ALS)has recently been identified as a potential tool in topographic mapping for archaeological prospection.However,most existing applications in this field refers to manned ALS systems,for which the high operation and maintenance costs limits its application in small-scale archaeological investigation.In this paper,we conducted an exploratory study on the application of the unmanned aerial vehicle(UAV)laser scanning(ULS)system in ancient micro-topography detection over wooded areas.Compared with manned ALS technology,we analyzed the advantages and potentials of ULS technology for archaeological applications.Then we outlined existing mainstream survey-grade UAV-based laser scanners,data processing and visualization approaches.Furthermore,we performed case studies in three cultural heritage sites in Zhejiang Province,China using two representative mainstream survey-grade ULS systems.Results were then verified by an in-site investigation.Finally,the correct selection of ULS devices,the planning of data acquisition missions and the use of appropriate data processing methods specifically for archaeological prospection were discussed.This paper provides a cost-effective and flexible solution for micro-topography detection in wooded areas.ULS technology,as demonstrated here,can be an important supplement to existing archaeological investigation methods,particularly for small-scale areas,and has promising prospects in archaeological applications.展开更多
Observational studies have identified that declined kidney function was associated with a higher risk of cardiovascular disease(CVD).However,the causation of such associations requires further exploration.Here,we comp...Observational studies have identified that declined kidney function was associated with a higher risk of cardiovascular disease(CVD).However,the causation of such associations requires further exploration.Here,we compared the observational associations of various kidney function measurements with CVD and its major subtypes and further assessed the potential causality using Mendelian randomization(MR)analyses with individual-level data of 306,246 participants from the UK Biobank and genome-wide association study summary-level data from FinnGen consortium,Coronary ARtery DIsease Genome wide Replication and Meta-analysis plus The Coronary Artery Disease Genetics(CARDIoGRAMplusC4D)consortium,and MEGASTROKE Consortium,respectively.Kidney function measurements included circulating levels of cystatin C and creatinine,urine albumin-to-creatinine ratio(uACR),and estimated glomerular filtration rates(eGFR)from three chronic kidney disease epidemiology collaboration formulae(i.e.,that using cystatin C,creatinine,and both).In the observational analyses,decreased kidney function measurements were associated with a higher risk of CVD in the UK Biobank study.For example,per one standard deviation decrease in baseline estimated glomerular filtration rates using both cystatin C and creatinine(eGFRcys+cre)was associated with 11%higher risk of CVD(hazard ratio=0.89;95%confidence interval,0.87-0.90).In contrast,two-sample MR analyses did not suggest significant associations of any genetically instrumented kidney function measurement with the risk of CVD or its subtypes.Our findings suggested the inverse associations of kidney function measurements with CVD risk from observational studies were not supported by large MR analyses.展开更多
The ICESat-2(Ice,Cloud,and Land Elevation Satellite-2)can collect earth surface elevation data with high precision on a global scale.However,the collected photon data contains a large amount of background noise due to...The ICESat-2(Ice,Cloud,and Land Elevation Satellite-2)can collect earth surface elevation data with high precision on a global scale.However,the collected photon data contains a large amount of background noise due to the influence of sunlight,cloud reflection,and other factors.For photon data of different scenes,how to effectively denoise and achieve accurate classification of photon point clouds is crucial for subsequent applications.This study proposes a random forest based method for denoising and classifying ICESat-2 photon data in urban areas by fusing spectral features from Sentinel-2 images and spatial distribution features from photon data.The experimental results show that the method can effectively identify various types of photons.Compared with the reference data,the overall accuracy of photon denoising and classification is 95.97%on average,and the average kappa coefficient is 94.18%.Further analysis demonstrates that the addition of sentinel-2 spectral information can effectively improve the classification accuracy of photon point clouds in urban areas,and the photon classification method of combining photon lidar data and optical images can be a promising solution to improve classification accuracy.展开更多
基金supported by the National Key Research and Development Program of China(2021YFC2500200,2021YFC2500204)the Key Technologies Research and Development Program of Guangdong Province(2023B1111030004)the Guizhou Science and Technology Department(QKHPTRC2018-5636-2,QKHCG2023-ZD010).
摘要Dear Editor,Heart failure(HF)is a common multi-faceted and life-threatening syndrome,of which up to 23%occur acute kidney injury(AKI)[1].HF-related AKI is largely overlooked or delayed in identification[2].Approximately 85%of AKI cases that occurred during cardiac hospitalization in China were either ignored or identifi ed too late[3].Currently,there are no specific guidelines for the management of HF-related AKI.Hence,it is essential to identify patients at the risk of developing AKI and intervene promptly.
基金funded by the Guangxi Natural Science Fund for Innovation Research Team (No. 2019JJF50001)the Natural Science Foundation of Fujian Province,China (No. 2019 J01396)+1 种基金the Special Fund for Guangxi Innovation and Driving Development (Major science and technology projects)(No. 2018AA13005)the Youth Innovation Promotion Association CAS (2019130)。
摘要Background: Forest canopy height is a key forest structure parameter. Precisely estimating forest canopy height is vital to improve forest management and ecological modelling. Compared with discrete-return LiDAR(Light Detection and Ranging), small-footprint full-waveform airborne LiDAR(FWL) techniques have the capability to acquire precise forest structural information. This research mainly focused on the influence of voxel size on forest canopy height estimates.Methods: A range of voxel sizes(from 10.0 m to 40.0 m interval of 2 m) were tested to obtain estimation accuracies of forest canopy height with different voxel sizes. In this study, all the waveforms within a voxel size were aggregated into a voxel-based LiDAR waveform, and a range of waveform metrics were calculated using the voxelbased LiDAR waveforms. Then, we established estimation model of forest canopy height using the voxel-based waveform metrics through Random Forest(RF) regression method.Results and conclusions: The results showed the voxel-based method could reliably estimate forest canopy height using FWL data. In addition, the voxel sizes had an important influence on the estimation accuracies(R2 ranged from 0.625 to 0.832) of forest canopy height. However, the R2 values did not monotonically increase or decrease with the increase of voxel size in this study. The best estimation accuracy produced when the voxel size was 18 m(R2= 0.832, RMSE = 2.57 m, RMSE% = 20.6%). Compared with the lowest estimation accuracy, the R2 value had a significant improvement(33.1%) when using the optimal voxel size. Finally, through the optimal voxel size, we produced the forest canopy height distribution map for this study area using RF regression model. Our findings demonstrate that the optimal voxel size need to be determined for improving estimation accuracy of forest parameter using small-footprint FWL data.
基金funded by the National Natural Science Foundation of China(Nos.8210102561,81900626,51973243,52173150)Nanfang Hospital(No.2019C028)+2 种基金International Cooperation and Exchange of the National Natural Science Foundation of China(No.51820105004)Science and Technology Planning Project of Shenzhen(No.JCYJ20190807155801657)Guangdong Innovative and Entrepreneurial Research Team Program(No.2016ZTO6S029).
摘要Clear cell renal cell carcinoma(ccRCC)is a heterogeneous malignancy with poor prognosis.Methylation of the N6 position of adenosine(m6A),the most common epigenetic modification in both messenger RNAs and noncoding RNAs,has been reported to regulate the initiation and progression of ccRCC.However,whether and how m6A-related long noncoding RNAs(m6ArlncRNAs)signify the progression of ccRCC remain unclear.We found m6ArlncRNAs are effective signatures illustrating immune landscape and risk stratification in ccRCC.We identified two differently expressed m6ArlncRNAs(DEm6ArlncRNAs),AC008870.2 and EMX2OS,as independent risk factors for overall survival of ccRCC patients,by applying stringent variable selection procedure to data from the Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma project.The risk score generated from the DEm6ArlncRNA expression categorizes patients into either high or low-risk groups,between which,enrichment analysis indicated an enrichment in immune-related pathways.Under different DEm6ArlncRNA transcription pattern,the two risk groups differ in immune cell population composition and expression levels of therapy targeting genes.Nanoparticle is satisfactory strategy to delivering therapeutic drugs.For further clinical translation,we designed a novel nanoparticle delivery system packaged STM2457(STM@8P4 NPs),which selectively inhibits AC008870.2-correlated m6A writer.STM@8P4 NPs loaded drug successfully with uniform particle size,long-term stability and high release efficiency.STM@8P4 NPs can easily enter ccRCC cells and showed a highly efficient ccRCC killing activity in vitro.Our results therefore indicate that m6ArlncRNAs expression can depict tumor microenvironment,predict prognosis for ccRCC patient and give hint to therapeutic strategies in ccRCC.
基金supported by grants 2021YFC2500200 and 2021YFC2500204(X.X.)from the National Key R&D Program of China2023B1111030004 to F.F.H.from the Key Technologies R&D Program of Guangdong Province+3 种基金2020B11170013 from Guangdong Provincial Clinical Research(F.F.H.)D18005 from the Program of Introducing Talents of Discipline to Universities(F.F.H.)82030022(F.F.H.)and 82330020(F.F.H.)from the National Natural Science Foundation of China2024A1515220155 from the Basic and Applied Basic Research Foundation of Guangdong Province(S.N.).
摘要Hyperuricemia is considered a modifiable risk factor for the development and progression of chronic kidney disease(CKD).There remains controversy over the effects of urate-lowering therapy(ULT)on kidney outcomes in patients with CKD and hyperuricemia.We conducted a cohort study using a sequential target trial emulation framework to evaluate the composite kidney outcomes in patients with CKD and hyperuricemia initiating ULT versus supportive care alone(control).A total of 269,831 eligible person trials(56,936 unique persons)with CKD and hyperuricemia who had received supportive care were included from the China Renal Data System database.The primary outcome was a composite kidney outcome defined as a greater than 40%decline in the estimated GFR or end-stage kidney disease(ESKD).The 3-year cumulative incidence rates of the composite kidney outcomes were 19.69%and 23.22%in the ULT group and the control group,respectively,with a risk difference of−3.53%(95%CI,−5.25%to−1.94%).The estimated 3-year risk differences for ESKD,all-cause mortality,and cardiovascular mortality were−1.88%(−3.28%to−0.45%),−2.25%(−3.02%to−1.51%),and−0.69%(−1.33%to−0.05%),respectively,all of which favor the ULT group.The estimates from the subgroup and sensitivity analyses were consistent with those from the primary analysis.Thus,ULT is associated with a significantly lower risk of kidney disease progression and mortality in patients with stage 3 or higher CKD and hyperuricemia.Large randomized clinical trials with refined designs are needed to assess the effect of ULT in these patients.
基金supported in part by the National Science Foundation for Distinguished Young Scholars of China under Grant 42225107the National Key Research and Development Program of China under Grant 2022YFB3903402the National Natural Science Foundation of China under Grant 42171409 and Grant 42171410.
摘要The growing demand for high-quality,temporally consistent satellite imagery for environmental monitoring and land use research has exposed a substantial data gap in China.Unlike the United States,which provides Analysis Ready Data(ARD)for Landsat imagery,Chinese researchers currently lack an equivalent resource,resulting in time-intensive data processing and potential research inaccuracies.In this study,we introduce the first seamless,annual Leaf-On Landsat composite data cube for China,covering 1985 to 2023.Leveraging the comprehensive image compositing approach,our dataset harmonizes images across multiple Landsat sensors and addresses key challenges such as cloud and shadow contamination,reflectance consistency,and the data gaps.Over this period,an average of 7.9% of data remained unavailable due to cloud/shadow cover and limited data accessibility.To address this,we applied segmented linear interpolation to generate proxies,which we validated for stability,achieving high consistency with actual Landsat references for both stable and dynamic pixel sequences(r=0.77 to 0.99,root mean square error[RMSE]=0.0043 to 0.0232).Additionally,representativeness assessments indicate a strong correlation between our composites and Landsat reference images(closest to day of year 225)(r=0.75 to 0.94,RMSE=0.025 to 0.063),confirming that these composites effectively capture seasonal vegetation conditions across diverse land cover types.This dataset is expected to help reduce preprocessing efforts for researchers and provide a solid basis for land use monitoring and environmental assessments across China.
基金This work was supported by the Establishment of Sino-Austria“Belt and Road”Joint Laboratory on Traditional Chinese Medicine for Severe Infectious Diseases and Joint Research(2020YFE0205100,China)National Key Research and Development Program of China(grant number 2020YFA0908000,2022YFC2303600)+6 种基金the Innovation Team and Talents Cultivation Program of the National Administration of Traditional Chinese Medicine(grant number ZYYCXTD-C-202002,China)the National Natural Science Foundation of China(grant number 82074098,81841001),the Fundamental Research Funds for the Central Public Welfare Research Institutes(grant number ZZ16-ND-10-23,ZZ15-ND-10,ZZ14-ND-010,ZZ14-FL-002,ZZ14-YQ-050,ZZ14-YQ-051,China)Shenzhen Science and Technology Innovation Commission(grant number JCYJ20210324115800001 and JCYJ20210324114014039,China)the Shenzhen Medical Research Fund(B2302051,China)the Distinguished Expert Project of Sichuan Province Tianfu Scholar(CW202002,China)CACMS Innovation Fund(CI2023E002,CI2021A05101 and CI2021A05104,China)support from State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs,Scientific and technological innovation project of China Academy of Chinese Medical Sciences(CI2023D003,CI2021B014,China).
摘要Diabetic nephropathy(DN)is a severe complication of diabetes,characterized by changes in kidney structure and function.The natural product rosmarinic acid(RA)has demonstrated therapeutic effects,including anti-inflammation and anti-oxidative-stress,in renal damage or dysfunction.In this study,we characterized the heterogeneity of the cellular response in kidneys to DN-induced injury and RA treatment at single cell levels.Our results demonstrated that RA significantly alleviated renal tubular epithelial injury,particularly in the proximal tubular S1 segment and on glomerular epithelial cells known as podocytes,while attenuating the inflammatory response of macrophages,oxidative stress,and cytotox-icity of natural killer cells.These findings provide a comprehensive understanding of the mechanisms by which RA alleviates kidney damage,oxidative stress,and inflammation,offering valuable guidance for the clinical application of RA in the treatment of DN.
基金the National Key R&D Program of China(grant No.2021YFC2500501)the Strategic Priority Research Program of Chinese Academy of Sciences(grant no.XDB38010100)+4 种基金the National Natural Science Foundation of China(grant no.82030022 and 82330020)Program for Innovative Research Team of The First Affiliated Hospital of USTC(grant no.CXGG02)the Program of Introducing Talents of Discipline to Universities,111 Plan(grant no.D18005)Guangdong Provincial Clinical Research Center for Kidney Disease(2020B1111170013)Key Technologies R&D Program of Guangdong Province(grant no.2023B1111030004).
摘要Early insulin therapy is capable to achieve glycemic control and restoreβ-cell function in newly diagnosed type 2 diabetes(T2D),but its effect on cardiovascular outcomes in these patients remains unclear.In this nationwide real-world study,we analyzed electronic health record data from 19 medical centers across China between 1 January 2000,and 26 May 2022.We included 5424 eligible patients(mean age 56 years,2176 women/3248 men)who were diagnosed T2D within six months and did not have prior cardiovascular disease.Multivariable Cox regression models were used to estimate the associations of early insulin therapy(defined as the first-line therapy for at least two weeks in newly diagnosed T2D patients)with the incidence of major cardiovascular events including coronary heart disease(CHD),stroke,and hospitalization for heart failure(HF).During 17,158 persons years of observation,we documented 834 incident CHD cases,719 stroke cases,and 230 hospitalized cases for HF.Newly diagnosed T2D patients who received early insulin therapy,compared with those who did not receive such treatment,had 31%lower risk of incident stroke,and 28%lower risk of hospitalization for HF.No significant difference in the risk of CHD was observed.We found similar results when repeating the aforesaid analysis in a propensity-score matched population of 4578 patients and with inverse probability of treatment weighting models.These findings suggest that early insulin therapy in newly diagnosed T2D may have cardiovascular benefits by reducing the risk of incident stroke and hospitalization for HF.
基金Guangzhou Regenerative Medicine and Health Guangdong Laboratory(2018GZR0201003,2018GZR110102004)to Dr.F.F.H.
摘要Our understanding of the protective immunity,particularly the long-term dynamics of neutralizing antibody(NAbs)response to SARS-CoV-2,is currently limited.We enrolled a cohort of 545 COVID-19 patients from Hubei,China,who were followed up up to 7 months,and determined the dynamics of NAbs to SARS-CoV-2 by using a surrogate virus neutralization test(sVNT).In our validation study,sVNT IC50 titers and the neutralization rate measured at a single dilution(1:20)were well correlated with FRNT titers(r=0.85 and 0.84,respectively).The median time to seroconversion of NAbs was 5.5 days post onset of symptoms.The rate of positive sVNT was 52% in the first week,reached 100% in the third week,and remained above 97% till 6 months post onset.Quantitatively,NAbs peaked in the fourth week and only a quarter of patients had an estimated peak titer of>1000.NAbs declined with a half-time of 61 days(95%CI:49-80 days)within the first two months,and the decay deaccelerated to a half-time of 104 days(95%CI:86-130 days)afterward.The peak levels of NAbs were positively associated with severity of COVID-19 and age,while negatively associated with serum albumin levels.The observation that the low-moderate peak neutralizing activity and fast decay of NAbs in most naturally infected individuals called for caution in evaluating the feasibility of antibody-based therapy and vaccine durability.NAbs response positively correlated with disease severity,warning for the possibility of repeat infection in patients with mild COVID-19.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences under Grant[numbers XDA19090130 and XDA19090124]National Key Research and Development Program of China under Grant[number 2021YFF0704600]+2 种基金National Natural Science Foundation of China under Grant[number 41901289]Youth Innovation Promotion Association CAS under Grant[number 2019130]Postgraduate Scientific Research Innovation Project of Hunan Province under Grant[number CX20201147].
摘要Ice,Cloud,and land Elevation Satellite-2(ICESat-2)provides effective photon-counting light detection and ranging(LiDAR)data for estimating forest height across extensive geographical areas.Although prior studies have illustrated canopy conditions during leaf-on and leafoff phases may influence ICESat-2 derived forest heights,a comprehensive understanding of this effect remains incomplete.This study seeks to comprehensively assess how varying canopy conditions(leaf-on/leaf-off)affect ICESat-2 forest height retrieval and modelling.First,the accuracies of ICESat-2 terrain and canopy heights under leafon and leaf-off conditions were validated.Second,random forest algorithm was utilized to model forest height by integrating ICESat-2,Sentinel-2,and other ancillary datasets.Finally,we evaluated the influence of leaf-on and leaf-off conditions on forest height retrieval and modelling.Results reveal higher consistency between ICESat-2 and airborne LiDAR-derived terrain heights compared to the agreement between two canopy height datasets.Accuracies of ICESat-2 terrain and canopy heights are higher under leaf-off conditions in contrast to leafon conditions.Notably,the accuracies of ICESat-2 terrain and canopy heights under various conditions are closely linked to canopy cover.Furthermore,the accuracy of forest height modelling can be enhanced by combining ICESat-2 data collected during both leaf-on and leaf-off seasons with further eliminating low-quality samples.
基金funded by Guangxi Natural Science Fund for Innovation Research Team[grant number 2019GXNSFGA245001]High-Level Talent Aggregation Project in Hunan Province,China-Innovation Team[grant number 2019RS1060].
摘要Communication tower(CT)and its accessory equipment(AE)such as radio frequency equipment(RFE)and antenna,are essential in providing highspeed and stable mobile network services.It is necessary to routinely monitor the security and stability of CT and AE for seamless communication.There is limited research on fine segmentation of communication base station objects.This paper proposes a method for accurately segmenting the point cloud of the CT and AE from Terrestrial Laser Scanning(TLS)data.At first,the CT point cloud is accurately segmented based on region growing and Random Sample Consensus(RANSAC).Then,the point cloud of pole-shaped apart is extended to a certain distance to obtain the buffer point cloud containing AE.Normal Differential(ND)clustering is employed to obtain several groups of clusters containing planes,and calculate each plane's filling rate and size.Finally,the cluster type(such as antenna,RFE,or other)is distinguished.The experimental results demonstrate that the point-based average F1-score of CTs is 98.70%,the point-based and object-based average F1-scores of antennas are 96.09%and 97.93%,and the corresponding values for the RFE are 89.89%and 90.00%,respectively,indicating the optimal performance of the proposed method.
基金supported by the National Key R&D Program of China under[grant number 2021YFF0704600]the National Natural Science Foundation of China under[grant number 42171352,42271365,U22A20566]the High-Level Talent Aggregation Project in Hunan Province,China-Innovation Team under[grant number 2019RS1060].
摘要Spaceborne photon-counting LiDAR is significantly affected by noise,and existing denoising algorithms cannot be universally adapted to different surface types and topographies under all observation conditions.Accordingly,a new denoising method is presented to extract signal photons adaptively.The method includes two steps.First,the local neighborhood radius is calculated according to photons’density,then thefirst-step denoising process is completed via photons’curvature feature based on KNN search and covariance matrix.Second,the local photonfiltering direction and threshold are obtained based on thefirst-step denoising results by RANSAC and elevation frequency histogram,and the local dense noise photons that thefirst-step cannot be identified are further eliminated.The following results are drawn:(1)experimental results on MATLAS with different topographies indicate that the average accuracy of second-step denoising exceeds 0.94,and the accuracy is effectively improves with the number of denoising times;(2)experiments on ICESat-2 under different observation conditions demonstrate that the algorithm can accurately identify signal photons in different surface types and topographies.Overall,the proposed algorithm has good adaptability and robustness for adaptive denoising of large-scale photons,and the denoising results can provide more reasonable and reliable data for sustainable urban development.
基金This work is supported by the Clinical Innovation Research Program of Guangzhou Regenerative Medicine and Health Guangdong Laboratory(Grants No.2018GZR0201003 and 2020GZR110306001)the National Innovation Team Program(Grant No.81521003)Recruitment Program of Leading Talent in Guangdong Province(Grant No.2016LJ06Y375),and a Macao FDCT(Grant No.0035/2020/A).
摘要Objective:To identify the effectiveness of a personnel protection strategy in protection of healthcare workers from SARS-CoV-2 infection.Design:During the COVID-19 pandemic,943 healthcare staff sent from Guangzhou to Wuhan to care for patients with suspected/confirmed COVID-19 received infection precaution training before their mission and were equipped with Level 2/3 personal protective equipment(PPE),in accordance with guidelines from the National Health Commission of China.We conducted a serological survey on the cumulative attack rate of SARS-CoV-2 among the healthcare workers sent to Wuhan and compared the seropositive rate to that in local healthcare workers from Wuhan and Jingzhou.Results:Serial tests for SARS-CoV-2 RNA and tests for SARS-CoV-2 immunoglobulin M and G after the 6-8 week mission revealed a zero cumulative attack rate.Among the local healthcare workers inWuhan and Jingzhou of Hubei Province,2.5%(113 out of 4495)and 0.32%(10 out of 3091)had RT-PCR confirmed COVID-19,respectively.The seropositivity for SARS-CoV-2 antibodies(IgG,IgM,or both IgG/IgM positive)was 3.4%(53 out of 1571)in local healthcare workers from Wuhan with Level 2/3 PPE working in isolation areas and 5.4%(126 out of 2336)in healthcare staff with Level 1 PPE working in non-isolation medical areas,respectively.Conclusions and relevance:Our study confirmed that adequate training/PPE can protect medical personnel against SARS-CoV-2.
基金supported by grants from the Macao Science and Technology Development Fund(No.0069/2021/AFJ)the Macao University of Science and Technology Faculty Research Grants(No.FRG-22-022-FMD).
摘要Recent advancements in the field of medical artificial intelligence(AI)have led to the widespread adoption of foundational and large language models.This review paper explores their applications within medical AI,introducing a novel classification framework that categorizes them as disease-specific,general-domain,and multi-modal models.The paper also addresses key challenges such as data acquisition and augmentation,including issues related to data volume,annotation,multi-modal fusion,and privacy concerns.Additionally,it discusses the evaluation,validation,limitations,and regulation of medical AI models,emphasizing their transformative potential in healthcare.The importance of continuous improvement,data security,standardized evaluations,and collaborative approaches is highlighted to ensure the responsible and effective integration of AI into clinical applications.
基金the National Natural Science Foundation of China under grant number 41771489the National Natural Science Foundation of China under grant number 41701497the Open Foundation of Hengyang Base of International Centre on Space Technologies for Natural and Cultural Heritage under the auspices of UNESCO under grant number HIST19K02.
摘要Airborne laser scanning(ALS)has recently been identified as a potential tool in topographic mapping for archaeological prospection.However,most existing applications in this field refers to manned ALS systems,for which the high operation and maintenance costs limits its application in small-scale archaeological investigation.In this paper,we conducted an exploratory study on the application of the unmanned aerial vehicle(UAV)laser scanning(ULS)system in ancient micro-topography detection over wooded areas.Compared with manned ALS technology,we analyzed the advantages and potentials of ULS technology for archaeological applications.Then we outlined existing mainstream survey-grade UAV-based laser scanners,data processing and visualization approaches.Furthermore,we performed case studies in three cultural heritage sites in Zhejiang Province,China using two representative mainstream survey-grade ULS systems.Results were then verified by an in-site investigation.Finally,the correct selection of ULS devices,the planning of data acquisition missions and the use of appropriate data processing methods specifically for archaeological prospection were discussed.This paper provides a cost-effective and flexible solution for micro-topography detection in wooded areas.ULS technology,as demonstrated here,can be an important supplement to existing archaeological investigation methods,particularly for small-scale areas,and has promising prospects in archaeological applications.
基金supported by the National Key R&D Program of China(2020YFC2005000)the Program for Professor of Special Appointment(Eastern Scholar)at Shanghai Institutions of Higher LearningThe funding organization had no role in the design and conduct of the study,collection,management,analysis,interpretation of the data,and preparation of the manuscript.
摘要Observational studies have identified that declined kidney function was associated with a higher risk of cardiovascular disease(CVD).However,the causation of such associations requires further exploration.Here,we compared the observational associations of various kidney function measurements with CVD and its major subtypes and further assessed the potential causality using Mendelian randomization(MR)analyses with individual-level data of 306,246 participants from the UK Biobank and genome-wide association study summary-level data from FinnGen consortium,Coronary ARtery DIsease Genome wide Replication and Meta-analysis plus The Coronary Artery Disease Genetics(CARDIoGRAMplusC4D)consortium,and MEGASTROKE Consortium,respectively.Kidney function measurements included circulating levels of cystatin C and creatinine,urine albumin-to-creatinine ratio(uACR),and estimated glomerular filtration rates(eGFR)from three chronic kidney disease epidemiology collaboration formulae(i.e.,that using cystatin C,creatinine,and both).In the observational analyses,decreased kidney function measurements were associated with a higher risk of CVD in the UK Biobank study.For example,per one standard deviation decrease in baseline estimated glomerular filtration rates using both cystatin C and creatinine(eGFRcys+cre)was associated with 11%higher risk of CVD(hazard ratio=0.89;95%confidence interval,0.87-0.90).In contrast,two-sample MR analyses did not suggest significant associations of any genetically instrumented kidney function measurement with the risk of CVD or its subtypes.Our findings suggested the inverse associations of kidney function measurements with CVD risk from observational studies were not supported by large MR analyses.
基金supported by the State Key Project of National Natural Science Foundation of China-Key projects of joint fund for regional innovation and development[grant number U22A20566]the National Natural Science Foundation of China[grant number 42271365]the Fundamental Research Funds for the Universities of Henan Province[grant number NSFRF220203].
摘要The ICESat-2(Ice,Cloud,and Land Elevation Satellite-2)can collect earth surface elevation data with high precision on a global scale.However,the collected photon data contains a large amount of background noise due to the influence of sunlight,cloud reflection,and other factors.For photon data of different scenes,how to effectively denoise and achieve accurate classification of photon point clouds is crucial for subsequent applications.This study proposes a random forest based method for denoising and classifying ICESat-2 photon data in urban areas by fusing spectral features from Sentinel-2 images and spatial distribution features from photon data.The experimental results show that the method can effectively identify various types of photons.Compared with the reference data,the overall accuracy of photon denoising and classification is 95.97%on average,and the average kappa coefficient is 94.18%.Further analysis demonstrates that the addition of sentinel-2 spectral information can effectively improve the classification accuracy of photon point clouds in urban areas,and the photon classification method of combining photon lidar data and optical images can be a promising solution to improve classification accuracy.