Population-environment dynamics across world's top 100 urban agglomerations: With implications for transitioning toward global urban sustainability.

Urbanization is a long-term global trend critical for shaping human-Earth sustainability in the Anthropocene. In past decades, much progress has been made in researching urban sustainability, particularly global assessments of the big picture and case studies of individual cities. Here we examine the world's top 100 urban agglomerations (UAs) in terms of size-that rank high on sustainability agendas and cover 28% of the global UA area-regarding four broadly concerned challenges: population shrinkage, slum development, greenness loss, and heat exposure. Instead of merely focusing on global/regional "averages" or individual cases, we take one step further to identify the "anomalies" of urban sustainability among the 100 UAs for each dimension and on the whole as multi-dimensional coupled infrastructure systems. Results show: (1) urban population of the 100 UAs increased by 36% during 2000-2020; (2) urban slums occurred in 85% of 34 examined UAs in the Global South; (3) urban greenness declined in the 100 UAs by 8% during 2000-2019; and (4) 79% of the 100 UAs were projected to have less than 30 EHDs per year during 2021-2030. Our findings provide global baselines for place-based problem-driven policymaking for the examined UAs and suggest improving urban green infrastructure as their top policy imperative. Our findings point to a critical research gap in the urban sustainability literature: Studying sustainability transitions of the "abnormally" sustainable UAs identified in this study that had exceptional performances on the four examined sustainability dimensions, e.g., Beijing of China and Milan of Italy.

[Establishment of vulnerable plaque model by mast cell activation in adventitia and evaluation of effectiveness of intervention of Shenlian tablet].

This study was designed to investigate the activity of Shenlian tablet in stabilization of the atherosclerosis (As) plaque in apoE(-/-) mice and explore the mechanisms. Rat peritoneal mast cells were randomly allocated and treated with Shenlian tablet (100, 50, 25, 12.5 mg·L(-1)) or cromoglicate sodium (200 µg·L(-1)) for 2 h before exposure to substance P. Histamine, tryptase, IL-1ß and NF-κB were measured in the cell culture supernatant by ELISA assay. The plaque formation was induced by common carotid artery cannula method combined with high-fat diet in apoE(-/-) mice, and the plaque instability was induced by substance P through local mast cell degranulation. Mice were divided into eight groups that included the model 1 (M1, sham-operated group), M2 (carotid artery cannula combined with high-fat diet）, M3 (M2 combined with substance P 0.5 µg/mouse, Shenlian extract (95, 190 and 380 mg·kg(-1)·d(-1)), atorvastatin (2.6 mg·kg-1·d(-1)) and normal control group. Total cholesterol (TC), high-density lipoprotein (HDL-C), high-sensitivity C-reactive protein (hs CRP), matrix metalloproteinases 9 (MMP-9) and histamine were measured by ELISA. Thickness, plaque area, mast cell degranulation were observed by hematoxylin and eosin staining, toluidine blue staining. CD117 antigen expression were observed by confocal microscopy. Intracellular phosphorylation was detected using the Bio-Plex 6-plex phosphoprotein assay kit. The results show that the mast cell membrane was stabilized by Shenlian tablet. Histamine, tryptase, interleukin l-ß and NF-κB exhibited a significantly reduction in the Shenlian tablet-treated group (P < 0.05 or P < 0.01). Substance P significantly enhanced activation and degranulation of adventitial mast cells. In addition, it increased adventitia inflammatory cells infiltration and promoted intraplaque hemorrhages in apoE(-/-) mice model group. The proliferation, degranulation and inflammation of mast cell were significantly inhibited by Shenlian tablet. On the other hand, the same treatment decreased hs-CRP, MMP-9 and histamine in serum. IκB, p38 MAPK phosphorylation, intraplaque hemorrhage and collagen degradation were reduced in the presence of Shenlian tablet, which increased the stability of the As plaque. The results show that the vulnerable plaque model induced by mast cell activation in adventitia was established. Shenlian tablet exhibited a protective effect in this model. Shenlian tablet may increase the plaque stability via inhibition of mast cell-mediated inflammatory response.

An Ideal Detector Composed of Two-Dimensional Cd(II)-Triazole Frameworks for Nitro-Compound Explosives and Potassium Dichromate.

The two-dimensional (2D) metal-organic framework (MOF) [Cd(TPTZ)(H2O)2(HCOOH)(IPA)2]n (1; TPTZ = {4-[4-(1H-1,2,4-triazol-1-yl)phenyl]phenyl}-1H-1,2,4-triazole, IPA = isophthalic acid) has been constructed with the π-electron-rich aromatic ligand TPTZ, auxiliary ligand IPA, and the metal Cd(2+) ion with a d(10) configuration under solvothermal conditions. Complex 1 exhibits a strong ligand-originated photoluminescence emission, which is selectively sensitive toward electron-deficient nitroaromatic compounds, such as nitrobenzene (NB), 1,3-dinitrobenzene (m-DNB), and 1,4-dinitrobenzene (p-DNB), and nitro-aliphatic compounds, such as nitromethane (NM) and tris(hydroxymethyl)nitromethane. This property makes complex 1 a potential fluorescence sensor for these chemicals. Single-crystal X-ray diffraction studies revealed that dinuclear cadmium building units were further bridged by TPTZ ligands to give a four-connected uninodal net with the Schläfli symbol of [4.6(3).4.6(3).6(2).6(4)].

Cation-Exchange Porosity Tuning in a Dynamic 4d-4f-3d Framework for Ni(II) Ion-Selective Luminescent Probe.

A heterometallic complex {[Yb2(L)6Cd2][Cd(H2O)6]·6H2O}n (Yb-Cd) (H2L = oxidiacetic acid) was synthesized under hydrothermal conditions. In Yb-Cd, each L chelates to one Yb(3+) center and bonds to two Cd(2+) ions in an anti-anti configuration. Yb and Cd atoms are arrayed alternatively and connected by O-C-O bridges to form a cubic octahedral cage as the secondary building unit. Consequently, topological NaCl nets with high symmetry in the cubic space group Fd-3c have been constructed. The [Cd(H2O)6](2+) moieties lying in the porosity of anionic metal-organic framework (MOF) act as the thermodynamically stable species, required to balance the two negative charges of [Yb2(L)6Cd2](2-) in Yb-Cd. Interestingly, when Yb-Cd was employed as a precursor and emerged in the aqueous solution of Mn(ClO4)2·6H2O or Zn(ClO4)2·6H2O, a reversible single-crystal-to-single-crystal transformation process driven by [Cd(H2O)6](2+) cations has been exhibited to generate the heterotrimetallic coordination polymer {[Yb2(L)6Cd2][Mn(H2O)6]·6H2O}n (Yb-Cd-Mn) or {[Yb2(L)6Cd2][Zn(H2O)6]·6H2O}n (Yb-Cd-Zn). To the best of out knowledge, Yb-Cd-Mn and Yb-Cd-Zn are the first examples representing 4d-4f-3d polymers based on multicarboxylic acid. Luminescent studies reveal that Yb-Cd-Zn may serve as a good candidate of Ni(2+) a luminescent probe. To our knowledge, Yb-Cd-Zn represent the fist example of the 4d-4f-3d framework to exhibit luminescent selectivity for Ni(2+).

[Effect on M1 macrophages of shenlian extracts].

This study discusses the effects of Shenlian extracts (SL) on M1 macrophages in atherosclerosis. The MTT assay was used to detect the growth inhibition rates of RAW264.7 cells. RAW264.7 cells were stimulated with murine interferon-gamma (IFN-gamma) plus lipopolysaccharide (LPS) to induce M1 macrophages. The different concentrations of SL extracts (high-dose 50 mg x L(-1), moderate-dose 25 mg x L(-1), low-dose 12.5 mg x L(-1)) were added. The CD86 of M1 macrophages in cell membrane was measured by flow cytometry. The mRNA expression of iNOS and TNF-alpha gene was detected by reverse transcription PCR (RT-PCR). And the supernatants were collected, the content of IL-6 and TNF-alpha were detected with ELISA kits. The results of this experiment show that the expression of the cell membrane molecule CD86, iNOS and TNF-alpha gene, the content of IL-6 and TNF-alpha was obviously increased in M1 macrophages by IFN-gamma and LPS. The different doses of SL extract could reduce the expression of the above indicators. The above experimental results demonstrate that IFN-gamma combined LPS can induce RAW264.7 cell to type into M1 macrophages, and SL extracts can inhibit M1 macrophages.

[Pathogenesis of plaque destabilization induced by PM2.5 exposure and coping strategies].

With the increasingly more serious environmental pollution in China in recent years, effective intervention with PM25-induced health risks has become a major scientific issue to be addressed urgently in medical research field in China. NOD-like receptors (NLRs) are a family of cytoplasmic pattern-recognition receptors that have critical roles in innate immunity. On the basis of study progresses in international cardiovascular disease research "Fine particulate matter exposure is a modifiable risk factor for the morbidity and mortality of cardiovascular diseases", and with reference to the current understanding of pulmonary inflammation and oxidative stress in PM2.5-induced acute coronary syndrome, this study intended to investigate whether intracellular pattern recognition NL-RP3 plays a important role in the inital event of PM2.5 induced vessel inflammation as a foreign matter in the process of plaque destabilization and to thoroughly explore the underlying mechanisms responsible for PM2.5-induced acute cardiovascular events. On the other hand, it also studies the feasibility of using traditional Chinese medicine to treat plaque destabilization cause by PM2.5 exposure and discuss it's pathogenesis and intervention strategy based on TCM theory. This paper in order to provide scientific basis for social focal issues in public health proactively and offers the references for relevant research.

Reflections on a vulnerability framework for sustainability science.

The first vulnerability framework for sustainability science was published about two decades ago. It embedded vulnerability analysis into the foundational lens of sustainability and resilience research - the social-environmental system (SES) - and called for an integration of the vulnerabilities of the social and environmental subsystems as opposed to the dominating attention given at the time to societal vulnerability. The framework recognised that the environment itself is vulnerable to disturbances and that the interactions of the two subsystems create a system-wide vulnerability central to questions of sustainability or sustainable development. It also provided multiple components of analysis that should be considered if vulnerability research and assessments were to contribute more fully to sustainability themes. Using bibliometric analysis and attention to subsequent vulnerability publications, various impacts of this original framework on vulnerability studies were examined in the study, including its recognition by citations, citation pathways and fields of study, and the degree to which its various dimensions were employed. It was found that its large citation recognition was not necessarily matched by attention to the dimensions the framework proposed, noting several exceptions. Contribution: The authors interpreted this discrepancy to have followed from the analytical complexity fostered by the framework and to the significant proportion of vulnerability interests that was and remains focused on societal vulnerability as opposed to the social-environmental one, even in this moment in which sustainability in the Anthropocene has become a paramount query.

Changes in PM2.5-related health burden in China's poverty and non-poverty areas during 2000-2020: A health inequality perspective.

China suffers from severe PM2.5 pollution that has resulted in a huge health burden. Such PM2.5-related health burden has long been suspected to differ between China's poverty-stricken areas (PAs) and non-poverty-stricken areas (NPAs). Yet, evidence-based examination of this long-held belief, which is critical as a barrier of environmental injustice to advancing China's sustainability, is still missing. Here our study shows that the PM2.5 pollution is more serious in China's NPAs than PAs-with their annual averages being respectively 54.83 µg/m3 and 43.63 µg/m3-causing higher premature mortality in the NPAs. Compared to economic inequality, China's total PM2.5-related premature mortality was relatively evenly distributed during 2000-2015 across regions of varying levels of gross domestic product (GDP) per capita but increased slightly in 2015-2020 owing to the dramatic change in age structure. The elderly population increased by 31 %. PM2.5-related premature deaths were more severe for populations of low socioeconomic status, and such environmental health inequalities could be amplified by population aging. Additionally, population migration from China's PAs to developed cities contributed to 638, 779, 303, 954, and 896 premature deaths in 2000, 2005, 2010, 2015, and 2020, respectively. Changes in the age structure (53 %) and PM2.5 concentration (28 %) had the greatest impact on premature deaths, followed by changes in population (12 %) and baseline mortality (8 %). The contribution rate of changes in the age structure and PM2.5 concentration was higher in PAs than in NPAs. Our findings provide insight into PM2.5-related premature death and environmental inequality, and may inform more equitable clean air policies to achieve China's sustainable development goals.

Silencing miRNA-324-3p protects against cerebral ischemic injury via regulation of the GATA2/A1R axis.

Previous studies have suggested that miR-324-3p is related to the pathophysiology of cerebral ischemia, but the mechanism underlying this relationship is unclear. In this study, we found that miR-324-3p expression was decreased in patients with acute ischemic stroke and in in vitro and in vivo models of ischemic stroke. miR-324-3p agomir potentiated ischemic brain damage in rats subjected to middle cerebral artery occlusion, as indicated by increased infarct volumes and cell apoptosis rates and greater neurological deficits. In a PC12 cell oxygen-glucose deprivation/reoxygenation model, a miR-324-3p mimic decreased cell viability and expression of the anti-apoptotic protein BCL2 and increased expression of the pro-apoptotic protein BAX and rates of cell apoptosis, whereas treatment with a miR-324-3p inhibitor had the opposite effects. Silencing miR-324-3p increased adenosine A1 receptor (A1R) expression through regulation of GATA binding protein 2 (GATA2). These findings suggest that silencing miR-324-3p reduces ischemic brain damage via the GATA2/A1R axis.

Spatiotemporal patterns and ecological consequences of a fragmented landscape created by damming.

BACKGROUND: Damming disrupts rivers and destroys neighboring terrestrial ecosystems through inundation, resulting in profound and long-lasting impacts on biodiversity and ecosystem processes far beyond the river system itself. Archipelagos formed by damming are often considered ideal systems for studying habitat fragmentation. METHODS: Here we quantified the island attributes and landscape dynamics of the Thousand Island Lake (TIL) in China, which is one of the several long-term biodiversity/fragmentation research sites around the world. We also synthesized the major findings of relevant studies conducted in the region to further ecological understanding of damming and landscape fragmentation. RESULTS: Our results show that the vegetations on islands and the neighboring mainland were both recovering between 1985 and 2005 due to reforestation and natural succession, but the regeneration was partly interrupted after 2005 because of increasing human influences. While major changes in landscape composition occurred primarily in the lakefront areas and near-lakeshore islands, landscape patterns became structurally more complex and fragmented on both islands and mainland. About 80 studies from the TIL region show that the genetic, taxonomic, functional, and phylogenetic diversity on these islands were mainly influenced by island area at the patch scale, but fragmentation per se also affected species composition and related ecological processes at patch and landscape scales. In general, islands had lower species diversity but a steeper species-area relationship than the surrounding mainland. Fragmentation and edge effects substantially hindered ecological succession towards more densely vegetated forests on the islands. Environmental heterogeneity and filtering had a major impact on island biotic communities. We hypothesize that there are multiple mechanisms operating at different spatial scales that link landscape fragmentation and ecological dynamics in the TIL region, which beg for future studies. By focusing on an extensive spatiotemporal analysis of the island-mainland system and a synthesis of existing studies in the region, this study provides an important foundation and several promising directions for future studies.

A modular kernel approach for integrative analysis of protein domain boundaries.

BACKGROUND: In this paper, we introduce a novel inter-range interaction integrated approach for protein domain boundary prediction. It involves (1) the design of modular kernel algorithm, which is able to effectively exploit the information of non-local interactions in amino acids, and (2) the development of a novel profile that can provide suitable information to the algorithm. One of the key features of this profiling technique is the use of multiple structural alignments of remote homologues to create an extended sequence profile and combines the structural information with suitable chemical information that plays an important role in protein stability. This profile can capture the sequence characteristics of an entire structural superfamily and extend a range of profiles generated from sequence similarity alone. RESULTS: Our novel profile that combines homology information with hydrophobicity from SARAH1 scale was successful in providing more structural and chemical information. In addition, the modular approach adopted in our algorithm proved to be effective in capturing information from non-local interactions. Our approach achieved 82.1%, 50.9% and 31.5% accuracies for one-domain, two-domain, and three- and more domain proteins respectively. CONCLUSION: The experimental results in this study are encouraging, however, more work is need to extend it to a broader range of applications. We are currently developing a novel interactive (human in the loop) profiling that can provide information from more distantly related homology. This approach will further enhance the current study.

[Sustainability science revisited: Recent advances and new opportunities]. / 再论可持续性科学: 新形势与新机遇.

During the past decade, sustainability science has rapidly developed into a globally well-recognized and important new science of the 21st century. However, sustainability science has not received much attention from scientists and practitioners in China where sustainable development and ecological civilization have been prominent themes. To promote the development of sustainability science in China, Wu, et al. (2014) published the first in-depth review on the subject in Chinese, entitled What is sustainability science? Here, we revisit the question, and discuss the relationship between sustainability science and sustainable development research, the scientific paradigm and the core research questions of sustainability science. Our review of the recent advances in this field reveals contrasting trends for the world versus China. On the one hand, the world is witnessing sustainability science maturing with global momentum to systematically advance sustainability research and education. On the other hand, China greatly lags behind developed countries and South Africa, albeit the great deal of new passion and desire for sustainable development. To promote the science and practice of sustainability in China, we propose a trinity strategy: 1) bringing in from the global community to guide Chinese practices in sustainable development; 2) reaching out to the global community to share Chinese wisdom of sustainable development; and 3) integrating traditional Chinese philosophy with western science to lead the development of sustainability science.

Improved general regression network for protein domain boundary prediction.

BACKGROUND: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary prediction has been mainly based on widely known machine learning techniques, such as Artificial Neural Networks and Support Vector Machines. In this study, we propose a new machine learning model (IGRN) that can achieve accurate and reliable classification, with significantly reduced computations. The IGRN was trained using a PSSM (Position Specific Scoring Matrix), secondary structure, solvent accessibility information and inter-domain linker index to detect possible domain boundaries for a target sequence. RESULTS: The proposed model achieved average prediction accuracy of 67% on the Benchmark_2 dataset for domain boundary identification in multi-domains proteins and showed superior predictive performance and generalisation ability among the most widely used neural network models. With the CASP7 benchmark dataset, it also demonstrated comparable performance to existing domain boundary predictors such as DOMpro, DomPred, DomSSEA, DomCut and DomainDiscovery with 70.10% prediction accuracy. CONCLUSION: The performance of proposed model has been compared favourably to the performance of other existing machine learning based methods as well as widely known domain boundary predictors on two benchmark datasets and excels in the identification of domain boundaries in terms of model bias, generalisation and computational requirements.

SiteSeek: post-translational modification analysis using adaptive locality-effective kernel methods and new profiles.

BACKGROUND: Post-translational modifications have a substantial influence on the structure and functions of protein. Post-translational phosphorylation is one of the most common modification that occur in intracellular proteins. Accurate prediction of protein phosphorylation sites is of great importance for the understanding of diverse cellular signalling processes in both the human body and in animals. In this study, we propose a new machine learning based protein phosphorylation site predictor, SiteSeek. SiteSeek is trained using a novel compact evolutionary and hydrophobicity profile to detect possible protein phosphorylation sites for a target sequence. The newly proposed method proves to be more accurate and exhibits a much stable predictive performance than currently existing phosphorylation site predictors. RESULTS: The performance of the proposed model was compared to nine existing different machine learning models and four widely known phosphorylation site predictors with the newly proposed PS-Benchmark_1 dataset to contrast their accuracy, sensitivity, specificity and correlation coefficient. SiteSeek showed better predictive performance with 86.6% accuracy, 83.8% sensitivity, 92.5% specificity and 0.77 correlation-coefficient on the four main kinase families (CDK, CK2, PKA, and PKC). CONCLUSION: Our newly proposed methods used in SiteSeek were shown to be useful for the identification of protein phosphorylation sites as it performed much better than widely known predictors on the newly built PS-Benchmark_1 dataset.

Discovery of a potent, selective, and orally active human epidermal growth factor receptor-2 sheddase inhibitor for the treatment of cancer.

The design, synthesis, evaluation, and identification of a novel class of (6S,7S)-N-hydroxy-6-carboxamide-5-azaspiro[2.5]octane-7-carboxamides as the first potent and selective inhibitors of human epidermal growth factor receptor-2 (HER-2) sheddase is described. Several compounds were identified that possess excellent pharmacodynamic and pharmacokinetic properties and were shown to decrease tumor size, cleaved HER-2 extracellular domain plasma levels, and potentiate the effects of the humanized anti-HER-2 monoclonal antibody (trastuzumab) in vivo in a HER-2 overexpressing cancer murine xenograft model.

A novel integrative phylogenetic analysis system.

Existing phylogenetic methods cannot realistically model the evolutionary process. It has become a serious issue for real-life applications which demand accurate phylogenetic results. It is desirable to have an integrative approach which can effectively incorporate multi-disciplinary analyses and synthesise results from various sources. A novel integrative and interactive computing system has been developed to address such an issue. We introduce the concept of super-quartet and explain how it is adopted for effective integration of other computational methods to the algorithm during computation – a key issue of the development of integrative and interactive computing system.

Evolution of the inner light-harvesting antenna protein family of cyanobacteria, algae, and plants.

Two hypotheses account for the evolution of the inner antenna light-harvesting proteins of oxygenic photosynthesis in cyanobacteria, algae, and plants: one in which the CP43 protein of photosytem II gave rise to the extrinsic CP43-like antennas of cyanobacteria (i.e. IsiA and Pcb proteins), as a late development, and the other in which CP43 and CP43-like proteins derive from an ancestral protein. In order to determine which of these hypotheses is most likely, we analyzed the family of antenna proteins by a variety of phylogenetic techniques, using alignments of the six common membrane-spanning helices, constructed using information on the antenna proteins' three-dimensional structure, and surveyed for evidence of factors that might confound inference of a correct phylogeny. The first hypothesis was strongly supported. As a consequence, we conclude that the ancestral photosynthetic apparatus, with 11 membrane-spanning helices, split at an early stage during evolution to form, on the one hand, the reaction center of photosystem II and, on the other hand, the ancestor of inner antenna proteins, CP43 (PsbC) and CP47 (PsbB). Only much later in evolution did the CP43 lineage give rise to the CP43' proteins (IsiA and Pcb) of cyanobacteria.