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Abstract Background With global climate change, the health threats of ambient high temperature have received widespread attention. However, latest spatio-temporal patterns of the non-communicable diseases (NCDs) burden attributable to high temperature have not been systematically reported. We aimed to analyze vulnerable areas and populations based on a detailed profile for the NCDs burden attributable to high temperature globally. Methods We obtained data from the Global Burden of Diseases (GBD) Study (2019) to describe the temporal and spatial patterns of NCDs burden attributable to high temperature globally from 1990–2019. Then we analyzed the differences by region, sex, and socio-demographic index (SDI). Finally, the age‑period‑cohort (APC) model was utilized to explore the age, period, and cohort effects of NCDs mortality caused by high temperature. Results In 2019, the number of deaths and Disability-adjusted life years (DALYs) from high-temperature-related NCDs was about 150,000 and 3.4 million globally, of which about 70% were in South Asia and North Africa and Middle East, and the burden was higher in men. Among 204 countries and territories, the highest age-standardized mortality rate (ASMR) and age-standardized DALY rate (ASDR) were observed in Oman and United Arab Emirates, respectively. The global burden showed an upward trend from 1990 to 2019, with an EAPC of 3.66 (95%CI: 3.14–4.18) for ASMR and 3.68 (95%CI: 3.16-4.21) for ASDR. Cardiovascular diseases were the main contributors to the global burden of high-temperature-related NCDs in 2019. The age and period effect in APC model showed an increasing trend globally. There was a significant negative correlation between SDI and both ASMR (r = -0.17) and ASDR (r = -0.20) from 1990 to 2019. Conclusion There was an increasing trend of the global burden of high-temperature-related NCDs. The burden was likely to be higher in males and the elderly, as well as in countries and regions with less economically and socially developed and in tropical climates. Surveillance and prevention measures should be implemented with a focus on these vulnerable areas and susceptible populations.

Abstract Objective The outbreak of the COVID-19 pandemic has drawn attention from all sectors of society to the level of public health services. This study aims to investigate the level of public health service supply in the four major regions of Guangdong Province, providing a basis for optimizing health resource allocation. Methods This article uses the entropy method and panel data of 21 prefecture-level cities in Guangdong Province from 2005 to 2021 to construct the evaluation index system of public health service supply and calculate its supply index. On this basis, the standard deviation ellipse method, kernel density estimation, and Markov chain are used to analyze the spatiotemporal evolution trend of the public health service supply level in Guangdong Province. The Dagum Gini coefficient and panel regression model are further used to analyze the relative differences and the key influencing factors of difference formation. Finally, the threshold effect model is used to explore the action mechanism of the key factors. Results Overall, the level of public health service supply in Guangdong Province is on an upward trend. Among them, polarization and gradient effects are observed in the Pearl River Delta and Eastern Guangdong regions; the balance of public health service supply in Western Guangdong and Northern Mountainous areas has improved. During the observation period, the level of public health services in Guangdong Province shifted towards a higher level with a smaller probability of leapfrogging transition, and regions with a high level of supply demonstrated a positive spillover effect. The overall difference, intra-regional difference and inter-regional difference in the level of public health service supply in Guangdong Province during the observation period showed different evolutionary trends, and spatial differences still exist. These differences are more significantly positively affected by factors such as the level of regional economic development, the degree of fiscal decentralization, and the urbanization rate. Under different economic development threshold values, the degree of fiscal decentralization and urbanization rate both have a double threshold effect on the role of public health service supply level. Conclusion The overall level of public health service supply in Guangdong Province has improved, but spatial differences still exist. Key factors influencing these differences include the level of regional economic development, the degree of fiscal decentralization, and the urbanization rate, all of which exhibit threshold effects. It is suggested that, in view of the actual situation of each region, efforts should be made to build and maintain their own advantages, enhance the spatial linkage of public health service supply, and consider the threshold effects of key factors in order to optimize the allocation of health resources.

Abstract Background The digital economy based on the internet and IT is developing rapidly in China, which makes a profound impact on urban environmental quality and residents’ health activities. Thus, this study introduces environmental pollution as a mediating variable based on Grossman’s health production function to explore the impact of digital economic development on the health of the population and its influence path. Methods Based on the panel data of 279 prefecture-level cities in China from 2011 to 2017, this paper investigates the acting mechanism of digital economic development on residents’ health by employing a combination of mediating effects model and spatial Durbin model. Results The development of digital economy makes direct improvement on residents’ health condition, which is also obtained indirectly by means of environmental pollution mitigation. Besides, from the perspective of spatial spillover effect, the development of digital economy also has a significant promoting effect on the health of adjacent urban residents, and further analysis reveals that the promoting effect in the central and western regions of China is more pronounced than that in the eastern region. Conclusions Digital economy can have a direct promoting effect on the health of residents, and environmental pollution has an intermediary effect between digital economy and residents’ health; At the same time, there is also a regional heterogeneity among the three relationships. Therefore, this paper believes that the government should continue to formulate and implement scientific digital economy development policies at the macro and micro levels to narrow the regional digital divide, improve environmental quality and enhance the health level of residents.

Human cancers induce a chaotic, dysfunctional vasculature that promotes tumor growth and blunts most current therapies; however, the mechanisms underlying the induction of a dysfunctional vasculature have been unclear. Here, we show that split end (SPEN), a transcription repressor, coordinates rRNA synthesis in endothelial cells (ECs) and is required for physiological and tumor angiogenesis. SPEN deficiency attenuated EC proliferation and blunted retinal angiogenesis, which was attributed to p53 activation. Furthermore, SPEN knockdown activated p53 by upregulating noncoding promoter RNA (pRNA), which represses rRNA transcription and triggers p53-mediated nucleolar stress. In human cancer biopsies, a low endothelial SPEN level correlated with extended overall survival. In mice, endothelial SPEN deficiency compromised rRNA expression and repressed tumor growth and metastasis by normalizing tumor vessels, and this was abrogated by p53 haploinsufficiency. rRNA gene transcription is driven by RNA polymerase I (RNPI). We found that CX-5461, an RNPI inhibitor, recapitulated the effect of Spen ablation on tumor vessel normalization and combining CX-5461 with cisplatin substantially improved the efficacy of treating tumors in mice. Together, these results demonstrate that SPEN is required for angiogenesis by repressing pRNA to enable rRNA gene transcription and ribosomal biogenesis and that RNPI represents a target for tumor vessel normalization therapy of cancer.

ObjectiveTo analyze the influence of non-pharmacological interventions (NPIs) against coronavirus disease 2019 (COVID-19) on tuberculosis (TB) incidence in Ningxia Hui Autonomous Region (Ningxia) in 2020. MethodsUsing TB incidents reported in Ningxia during 2004 – 2018 as a training set and those during 2019 – 2020 as a prediction set, a seasonal autoregressive moving average (SARIMA) model was established to predict TB incidents during the three COVID-19 epidemic periods with different response level in 2020 in Ningxia. The relative rate of change in the number of TB incidence for the three response periods were calculated by comparing the TB incidence number in the COVID-19 response periods with the number of same periods in 2019 or the number predicted based on the established SARIMA model. Results The established ARIMA(1,1,2) (1,1,2)12 model was fitted to the data well, with a root mean square error of 1280.50 and a mean absolute percentage error of 13.15%. The NPIs against COVID-19 showed an inhibitive co-benefits effect on the incidence of TB in Ningxia, resulting the expected incidence reductions of 63.58%, 29.61% and 8.59% for the response periods of level I, level II and level III, respectively. ConclusionNon-pharmacological interventions against COVID-19 could exert an incidence reduction co-benefits effect on TB in Ningxia, and the effect may be positively related to the grade of emergency response.

Abstract Background With the accelerated global integration and the impact of climatic, ecological and social environmental changes, China will continue to face the challenge of the outbreak and spread of emerging infectious diseases and traditional ones. This study aims to explore the spatial and temporal evolutionary characteristics of the incidence of Class B notifiable infectious diseases in China from 2007 to 2020, and to forecast the trend of it as well. Hopefully, it will provide a reference for the formulation of infectious disease prevention and control strategies. Methods Data on the incidence rates of Class B notifiable infectious diseases in 31 provinces, municipalities and autonomous regions of China from 2007 to 2020 were collected for the prediction of the spatio-temporal evolution and spatial correlation as well as the incidence of Class B notifiable infectious diseases in China based on global spatial autocorrelation and Autoregressive Integrated Moving Average (ARIMA). Results From 2007 to 2020, the national incidence rate of Class B notifiable infectious diseases (from 272.37 per 100,000 in 2007 to 190.35 per 100,000 in 2020) decreases year by year, and the spatial distribution shows an “east-central-west” stepwise increase. From 2007 to 2020, the spatial clustering of the incidence of Class B notifiable infectious diseases is significant and increasing year by year (Moran’s I index values range from 0.189 to 0.332, p

Lobelia species, as rich source of the alkaloid lobeline which has been shown to have important biological activity, have been used in folk medicine throughout East Asia to treat various diseases. However, Lobelia is a complex and varied genus in East Asia and is thus difficult to identify. Genomic resources would aid identification, however the availability of such information is poor, preventing a clear understanding of their evolutionary history from being established. To close this gap in the available genomic data, in this study, 17 plastomes of East Asian lobelias were newly sequenced and assembled. Although the plastomes of Lobelia sect. Hypsela, L. sect. Speirema, and L. sect. Rhynchopetalum shared the gene structure, the inverted repeat (IR)/large single copy (LSC) boundaries, genome size, and the number of repeats were variable, indicating the non-conservative nature of plastome evolution within these sections. However, the genomes of the Lobelia sect. Delostemon and L. sect. Stenotium showed rearrangements, revealing that these two sections might have undergone different evolutionary histories. We assessed nine hotspot genes and 27-51 simple sequence repeat motifs, which will also serve as valuable DNA barcode regions in future population genetics studies and for the delineation of plant species. Our phylogenetic analysis resolved the evolutionary positions of the five sections in agreement with previous evolutionary trees based on morphological features. Although phylogenetic reconstruction of Lobelioideae based on the rpoC2 gene has rarely been performed, our results indicated that it contains a considerable amount of phylogenetic information and offers great promise for further phylogenetic analysis of Lobelioideae. Our site-specific model identified 173 sites under highly positive selections. The branch-site model exhibited 11 positive selection sites involving four genes in the East Asian branches. These four genes may play critical roles in the adaptation of East Asian taxa to diverse environments. Our study is the first to detect plastome organization, phylogenetic utility, and signatures of positive selection in the plastomes of East Asian lobelias, which will help to further advance taxonomic and evolutionary studies and the utilization of medicinal plant resources.

Abstract Background In this research, the factors that influence the self-precautionary behavior during the pandemic are explored with the combination of social support and a risk perception attitude framework. Methods An online survey was conducted among 429 members to collect information on demographic data, social support, perceptions of outbreak risk, health self-efficacy, and self-precautionary behaviors with the guide of the Social Support Scale, the COVID-19 Risk Perception Scale, the Health Self-Efficacy Scale and the Self-precautionary Behavior Scale. Results The research shows that among the three dimensions of social support, both objective support and support utilization negatively predict risk perception, while subjective support positively predicts health self-efficacy; health self-efficacy and risk perception significantly predict self-precautionary behavior; the relationship between risk perception and self-precautionary behavior is significantly moderated by health self-efficacy. Conclusions The combined influence of social capital and risk perception attitudinal frameworks on self-precautionary behavior is highlighted in this study, with the relationship between the public’s risk perception, health self-efficacy, and self-precautionary behavior intentions examined against the background of coronavirus disease 2019 (COVID-19). These findings contribute to understanding the impact of social capital factors on risk perception and health self-efficacy, which provides insight into the current status and influencing factors of the public’s precautionary behavior and facilitates early intervention during a pandemic.

Debregeasia is an economically important genus of the nettle family (Urticaceae). Previous systematic studies based on morphology, or using up to four plastome regions, have not satisfactorily resolved relationships within the genus. Here, we report 25 new plastomes for Urticaceae, including 12 plastomes from five Debregeasia species and 13 plastomes from other genera. Together with the one published plastome for Debregeasia, we analyzed plastome structure and character, identified mutation hotspots and loci under selection, and constructed phylogenies. The plastomes of Debregeasia were found to be very conservative, with a size from 155,743 bp to 156,065 bp, and no structural variation. Eleven mutation hotspots were identified, including three (rpoB-trnC-GCA, trnT-GGU-psbD and ycf1) that are highly variable both within Debregeasia and among genera; these show high potential value for future DNA barcoding, population genetics and phylogenetic reconstruction. Selection pressure analysis revealed nine genes (clpP, ndhF, petB, psbA, psbK, rbcL, rpl23, ycf2, and ycf1) that may experience positive selection. Phylogenomic analyses results suggest that Debregeasia was monophyletic, and closest to Boehmeria among genera examined. Within Debregeasia, D. longifolia was sister to D. saeneb, whereas D. elliptica, D. orientalis with D. squamata formed the other subclade. This study enriches organelle genome resources for Urticaceae, and highlights the utility of plastome data for detecting mutation hotspots for evolutionary and systematic analysis.

Maize growth and development is affected by low temperature (LT) especially at the early stages of development. To describe the response of different varieties to LT stress and determine an effective method to cope with LT stress, maize hybrids Zhengdan 958 (ZD 958) and Danyu 39 (DY 39) were planted and grown at 10 and 25°C, respectively. Effects of the chemicals potassium chloride (KCl), gibberellin (GA3), 2-diethylaminoethyl-3,4-dichlorophenylether (DCPTA), and all three combined chemicals (KGD) on coping with LT stress were tested by seed priming. The varieties performed significantly different at 10°C. Compared to leaf, root growth was more severely affected by LT stress. Root/leaf ratio is likely a more reliable parameter to evaluate cold tolerance based on its close correlation with leaf malondialdehyde (MDA) content (R=−0.8). GA3 advanced seed germination by about 2 days compared with control treatment of water. GA3 and DCPTA both resulted in lower leaf MDA content and higher leaf and root area, and root/leaf ratio. KCl resulted in the highest evenness of plant height. KGD performed the best in increasing cold tolerance of maize morphologically and physiologically. Strategies to increase maize tolerance of cold stress, such as variety breeding or chemical selection, would increase maize yield especially at high-latitude regions and have great implications for food security.

The conflicts exist between the phylogeny of Campanulaceae based on nuclear ITS sequence and plastid markers, particularly in the subdivision of Cyanantheae (Campanulaceae). Besides, various and complicated plastid genome structures can be found in species of the Campanulaceae. However, limited availability of genomic information largely hinders the studies of molecular evolution and phylogeny of Campanulaceae. We reported the complete plastid genomes of three Cyanantheae species, compared them to eight published Campanulaceae plastomes, and shed light on a deeper understanding of the applicability of plastomes. We found that there were obvious differences among gene order, GC content, gene compositions and IR junctions of LSC/IRa. Almost all protein-coding genes and amino acid sequences showed obvious codon preferences. We identified 14 genes with highly positively selected sites and branch-site model displayed 96 sites under potentially positive selection on the three lineages of phylogenetic tree. Phylogenetic analyses showed that Cyananthus was more closely related to Codonopsis compared with Cyclocodon and also clearly illustrated the relationship among the Cyanantheae species. We also found six coding regions having high nucleotide divergence value. Hotpot regions were considered to be useful molecular markers for resolving phylogenetic relationships and species authentication of Campanulaceae.

Quorum sensing (QS) plays an important role in the growth, nodulation, and nitrogen fixation of rhizobia. In this study, we show that water-soluble humic materials (WSHM) repress the expression of the QS related genes sinI, sinR, and expR in Sinorhizobium meliloti. This decreased the production of N-acetyl homoserine lactones (AHL) and exopolysaccharides (EPS), and ultimately increased S. meliloti cell density. We also identified a novel regulator, SMc03890 (renamed QsrR), which binds directly to the expR promoter. Deletion of qsrR increased expR expression. WSHM repressed the expression of expR by augmenting the interaction between QsrR and the expR promoter; this was determined by a bacterial-one-hybrid assay. These effects of WSHM on the QS system in S. meliloti may be the underlying mechanism by which WSHM increase the symbiotic nitrogen fixation of Medicago sativa inoculated with S. meliloti. This study provides the first evidence that humic acids regulate the QS of rhizobia and suggests that WSHM could be used as fertilizers to improve the efficiency of symbiotic nitrogen fixation.

Psathyrostachys huashanica Keng belongs to the genus Psathyrostachys within the Gramineae family, is a rare and endangered herb plant endemic to China. In the current work, we first developed its whole chloroplast (cp) genome sequence. The cp genome of P. huashanica is 136,632 bp in size, including a large single copy (LSC) region of 81,803 bp, a small single copy (SSC) region of 12,763 bp, and a pair of inverted repeats (IRs) of 21,033 bp. The genome contains 114 genes, including 78 protein-coding genes, 32 tRNA genes, and 4 rRNA genes. The GC content in cp genome, LSC, SSC, and IR regions were 38.5, 36.5, 32.6, and 38.5%, respectively. The phylogenetic analysis showed P. huashanica is closely related to Triticum genus.

The complete chloroplast genome from Cardiocrinum cathayanum (Liliaceae), an important herbaceous perennial species of the Liliaceae, is determined in this study. We characterized its whole plastid genome sequence using the Illumina sequencing platform. The whole plastid genome of C. cathayanum was a typical quadripartite circular molecule with 152,502 bp in length, comprised of a large single copy region of 82,517 bp, a small single copy region of 17,311 bp, and two inverted repeat regions of 26,337 bp. A total of 136 genes, 84 protein-coding genes, 38 tRNA, and 8 rRNA genes were identified. The GC content in the chloroplast genome, LSC region, SSC region, and IR region were 42.5, 34.9, 30.8, and 42.5%, respectively. Phylogenetic analysis suggested that C. cathayanum is more closely related with Allium cepa, Allium prattii, Amana edulis, and Erythronium sibiricum, these species were clustered into a clade with high bootstrap support.

Debregeasia orientalis is an economically and ecologically important species, which belongs to the genus Debregeasia within the family Urticaceae. The complete chloroplast genome size of D. orientalis is 155,894 bp in length, including a large single copy (LSC) region of 85,558 bp, a small single copy (SSC) region of 19,064 bp, and a pair of inverted repeats (IRs) of 25,636 bp. The genome contains 112 genes, including 78 protein-coding genes, 30 tRNA genes, and four rRNA genes. The GC content in chloroplast genome, LSC region, SSC region, and IR region were 36.3%, 34.0%, 29.4%, and 42.7%, respectively. A total of 15 species are used to construct the phylogenetic tree of Rosales, employing the maximum likelihood (ML), and the results showed that D. orientalis is closely related to Debregeasia saeneb.

Abies chensiensis Van Tiegh. (Pinaceae) is a rare and endangered endemic conifer in China. In this study, using the Illumina sequencing platform, we firstly characterized its whole plastid genome sequence. Our study revealed that A. chensiensis have a typical plastid genome of 121,498 bp in length, comprised of a large single copy region of 76,484 bp, a small single copy region of 42,654 bp and two inverted repeat regions of 1180 bp. A total of 113 genes, 74 protein-coding genes, 35 tRNA, and 4 rRNA genes were identified. The phylogenetic analysis indicated that A. chensiensis was placed as a sister to the congeneric A. sibirica.