Discovery of deaminase functions by structure-based protein clustering.

The elucidation of protein function and its exploitation in bioengineering have greatly advanced the life sciences. Protein mining efforts generally rely on amino acid sequences rather than protein structures. We describe here the use of AlphaFold2 to predict and subsequently cluster an entire protein family based on predicted structure similarities. We selected deaminase proteins to analyze and identified many previously unknown properties. We were surprised to find that most proteins in the DddA-like clade were not double-stranded DNA deaminases. We engineered the smallest single-strand-specific cytidine deaminase, enabling efficient cytosine base editor (CBE) to be packaged into a single adeno-associated virus (AAV). Importantly, we profiled a deaminase from this clade that edits robustly in soybean plants, which previously was inaccessible to CBEs. These discovered deaminases, based on AI-assisted structural predictions, greatly expand the utility of base editors for therapeutic and agricultural applications.

How seasonality affects the environmental performance of fresh appetite: Insights from cherry consumption in China.

Urbanization and globalization are changing the conventional constraints of seasonality and geography on food consumption, such as that of fresh cherries. The rising demand for year-round cherry consumption in China is currently satisfied by open-field, greenhouse-produced, and imported products. This study conducted a spatial-temporal life cycle evaluation of the environmental performance of cherry consumption behaviors during different seasons of the year. Moreover, based on the definitions of global and local seasonality, the additional environmental costs of out-of-season cherry consumption were estimated. Results show that seasonality was an important factor affecting the environmental burdens of cherry consumption. Eating cherries imported from Chile by air in October resulted in the highest greenhouse gas (GHG) emissions of 6.38 kg CO2-eq/kg, while eating domestic open-field cherries during May to July (the natural harvest season) was a relatively environmentally beneficial option. The total cherry consumption in China in 2019 generated GHG emissions of 126.99 × 104 t CO2-eq. Under the definitions of global and local seasonality, the out-of-season consumption led to additional environmental costs of 57.59 × 104 and 85.67 × 104 t CO2-eq, accounting for 45.35% and 67.46% of total emissions, respectively. Furthermore, the time-environment trade-off effect of cherry consumption illustrates the higher environmental costs are exchanged for satisfying the appetite for out-of-season fresh foods. Our findings emphasize the meaningful implications for developing a sustainable consumption pattern for all stakeholders involved in the entire food chain.

Micro-Image Strain Sensing Method for Displacement and Strain Measurement in One United Sensor.

Micro-image strain sensing (MISS) is an innovative technology to measure strain within a measurement range of ±8300 microstrains. It has been proved to be effective and satisfy all requirements in the field of structural health monitoring. However, there is still room for improvement and extend the range of measurement. In this paper, an improved method is proposed to increase the measurement range of strain and displacement. Moreover, various tests were conducted to verify the efficiency of the improved method. The results showed that the modified method is efficient and accurate and can be readily used to extend the measurement range of both strain and displacement. This research will likely help stimulate the development of multifunctional sensors to obtain abundant useful information about structures in the field of structural health monitoring. It will allow measuring strain and displacement, which require different levels of accuracy, using one unified sensor.

In situ Dispersed Nano-Au on Zr-Suboxides as Active Cathode for Direct CO2 Electroreduction in Solid Oxide Electrolysis Cells.

CO2 electrochemical reduction in solid oxide electrolysis cells is an effective way to combine CO2 conversion and renewable electricity storage. A Au layer is often used as a current collector, whereas Au nanoparticles are rarely used as a cathode because it is difficult to keep nanosized Au at high temperatures. Here we dispersed a Au layer into Au nanoparticles (down to 2 nm) at 800 °C by applying high voltages. A 75-fold decrease in the polarization resistance was observed, accompanied by a 38-fold improvement in the cell current density. Combining electronic microscopy, in situ near-ambient pressure X-ray photoelectron spectroscopy, and theoretical calculations, we found that the interface between the Au layer and the electrolyte (yttria-stabilized zirconia (YSZ)) was reconstructed into nano-Au/Zr-suboxide interfaces, which are active sites that show a much lower reaction activation energy than that of the Au/YSZ interface. The formation of Zr-suboxides promotes Au dispersion and Au nanoparticle stabilization due to the strong interaction between Au and Zr-suboxides.

Increasing disparities in the embedded carbon emissions of provincial urban households in China.

In the context of carbon neutrality and the National Economic Circle Strategy, understanding regional disparities in carbon emissions from household consumption is conducive to regional coordination as well as high-quality and low-carbon development in China. In this study, a multiregional input-output (MRIO) model and structural decomposition analysis (SDA) are adopted to investigate the regional disparity change trends of embedded carbon emissions (ECEs) from urban households and the underlying drivers during the rapid economic development period from 2002 to 2012 in China. The results indicate that the eastern regions tended to have larger increments in total urban household ECEs, while the western regions tended to have faster growth rates. An increasing disparity and evident outsourcing pattern can be observed during the study period. The consumption level had a strong positive effect on urban household ECEs in all of the provinces, while the carbon efficiency, consumption pattern, production structure, and population size had differentiated offsetting effects on urban household ECEs in various provinces. The results obtained in this study are conducive to promoting joint efforts for carbon emission reduction and narrowing regional disparities.

Plant Dehydrins: Expression, Regulatory Networks, and Protective Roles in Plants Challenged by Abiotic Stress.

Dehydrins, also known as Group II late embryogenesis abundant (LEA) proteins, are classic intrinsically disordered proteins, which have high hydrophilicity. A wide range of hostile environmental conditions including low temperature, drought, and high salinity stimulate dehydrin expression. Numerous studies have furnished evidence for the protective role played by dehydrins in plants exposed to abiotic stress. Furthermore, dehydrins play important roles in seed maturation and plant stress tolerance. Hence, dehydrins might also protect plasma membranes and proteins and stabilize DNA conformations. In the present review, we discuss the regulatory networks of dehydrin gene expression including the abscisic acid (ABA), mitogen-activated protein (MAP) kinase cascade, and Ca2+ signaling pathways. Crosstalk among these molecules and pathways may form a complex, diverse regulatory network, which may be implicated in regulating the same dehydrin.

Prioritizing risk mitigation measures for binary heavy metal contamination emergencies at the watershed scale using bayesian decision networks.

Water pollution accidents have the characteristics of high uncertainty, rapid evolution and are difficult to control, thus posing great threats to human health, ecological security, and social stability. During the last 10 years, China has faced the occurrence of six extraordinarily serious heavy metal contamination pollution events at the watershed scale. This has alerted governments and enterprises of the significance of emergency decision-making. To quantitatively prioritize risk mitigation strategies for heavy metal emergencies, a Bayesian Decision Network-based probabilistic model is proposed under the Drivers-Pressures-States-Impacts-Responses (DPSIR) framework. A Copula-based exposure risk model is embedded to simulate the fate of heavy metal ions for each risk reduction option, whose joint probability distributions can then be used as input parameters in the Bayesian Decision Network. This method was applied to the emergency response prioritization for acute Cr(VI)-Hg(II) contamination accidents in the Danshui River watershed. The results indicated that comprehensive measure (M5) was the best option for decreasing ecological and human health risks. As for a single risk mitigation strategy, risk source prevention (M1) was the best alternative compared to exposure pathway interruption (M2) and human/ecological receptor protection (M3-M4). This probabilistic method can not only address the uncertainties between certain risk sources and receptors in the BDN structure, but also realize the risk system optimization in a satisfactory/preferred mode under the DPSIR framework. Overall, it provides the probabilistic risk estimates for watershed-scale risk management and policy making for local risk managers and stakeholders.

Urban dietary changes and linked carbon footprint in China: A case study of Beijing.

Rapidly rising wealth and increased urbanization are driving a global urban dietary transition, which is closely related to global climate change and human health. In light of large urban population, preference for fine foods, and serious environmental challenges, such trends are particularly important for China. This study investigated changes in urban diet and related carbon footprint (CF) of Beijing from 1980 to 2017. Meanwhile, the deviation index was devised to examine the interconnection between diet-related CF and nutritional quality, using dietary pattern recommended by Chinese Nutrition Society (CNS) as benchmark. Results showed that urban Beijing has experienced substantial dietary transition, shifting from traditional grain-based diet to the one higher in non-staple and animal-sourced foods. Correspondingly, the diet-related CF has increased by 41%, from 2.15 in 1980 to 3.04 kg CO2-eq in 2017 per capita per day, mainly due to the rising consumption of animal products. In regard to recommended intake level, the unnecessary CF due to over-consumption of food, accounted for about 15-30% of the total diet-related CF during the concerned period. The trade-off and synergy trends can be identified by phase when examining the interconnection between dietary CF and nutritional quality. The synergy trend offers the opportunity of synchronously alleviating the adverse impacts of urban diet on the environment and human health, by adopting responsible and sustainable dietary pattern. It calls for the joint efforts from both the government and urban consumers.

Quantifying the Urban Food-Energy-Water Nexus: The Case of the Detroit Metropolitan Area.

The efficient provision of food, energy, and water (FEW) resources to cities is challenging around the world. Because of the complex interdependence of urban FEW systems, changing components of one system may lead to ripple effects on other systems. However, the inputs, intersectoral flows, stocks, and outputs of these FEW resources from the perspective of an integrated urban FEW system have not been synthetically characterized. Therefore, a standardized and specific accounting method to describe this system is needed to sustainably manage these FEW resources. Using the Detroit Metropolitan Area (DMA) as a case, this study developed such an accounting method by using material and energy flow analysis to quantify this urban FEW nexus. Our results help identify key processes for improving FEW resource efficiencies of the DMA. These include (1) optimizing the dietary habits of households to improve phosphorus use efficiency, (2) improving effluent-disposal standards for nitrogen removal to reduce nitrogen emission levels, (3) promoting adequate fertilization, and (4) enhancing the maintenance of wastewater collection pipelines. With respect to water use, better efficiency of thermoelectric power plants can help reduce water withdrawals. The method used in this study lays the ground for future urban FEW analyses and modeling.

Identifying sediment-associated toxicity in rivers affected by multiple pollutants from the contaminant bioavailability.

In this study, we estimated the toxicity risks from river sediments that were affected by multiple pollutants in the Haihe River Basin. We used a range of methods to determine the concentrations, bioavailability, and toxicity of a range of metals and contaminants in sediments and sediment porewater and then assessed the ecological risks and toxicity using various multivariate statistical approaches. We found that more than 70% of the samples were toxic. The concentrations of non-ionic ammonia (0.168-9.295 mg L-1) were generally high in the sediment porewater, while the concentrations of bioavailable chromium (Cr) and polycyclic aromatic hydrocarbons (PAHs) were also high in the porewater samples from NW01 and NW02, respectively. We used the toxic unit (TU) approach, based on the bioavailable pollutant concentrations, to determine the toxicity of PAHs, heavy metals, and non-ionic ammonia in river sediments and sediment porewater. We found that non-ionic ammonia was the main source of toxicity for Daphnia magna, and that Cr and zinc were toxic for Pseudokirchneriella subcapitata and Chironomus dilutus. By combining various indexes, we identified the main contributors to the toxicity in sediments collected from rivers affected by multiple pollutants.

A Bayesian Network-based risk dynamic simulation model for accidental water pollution discharge of mine tailings ponds at watershed-scale.

Mine tailings ponds that contain heavy metals are sources of potential risk to human security and ecosystem health. China particularly faces challenge of accidental water pollution risk from more than 8869 mine tailings ponds in serve by 2015, some of which are close to residential areas and other important infrastructures within 1 km downstream. To address watershed-scale risk assessment of accidental water pollution from mine tailings ponds, a Bayesian Network-based Risk Dynamic Simulation (BN-RDS) model was proposed to simulate "sources/stressors-receptors-endpoints" risk routes. An accidental water pollution convection-diffusion simulation was coupled to Bayesian Networks to perform the risk dynamic simulation and risk evolution quantification at watershed-scale. This method was applied to the risk assessment of 23 tailings dams in 12 sub-watersheds covering the Guanting Reservoir basin (the major backup drinking water source for Beijing) in Zhangjiakou City, China. The result indicated that ecosystem health and property security were the endpoints at the highest risk in the overall watershed. Spatially, the combined risk distribution map showed the risk was higher in the downstream of the Guanting Reservoir Watershed and in its two tributary basins (the Qingshui River and the Longyang River). This research highlighted a probabilistic approach to accidental water pollution risk assessment of tailings ponds with verifiable and tangible results for risk managers and stakeholders.

Assessing the environmental externalities for biomass- and coal-fired electricity generation in China: A supply chain perspective.

Biomass power in China is usually regarded as less economically competitive than coal power, partially because the external costs of power generation technologies' effects on human health and the environment are always neglected. To understand the real economic performance of biomass- and coal-fired power in China, a hybrid life cycle inventory modeling approach was developed to estimate the fuel-to-electricity environmental emissions and complete (direct and external) economic costs of the two fuel options. The results show that the direct economic cost of biomass power is 0.44 Chinese yuan (CNY) per kilowatt-hour, about 25%-37% higher than that of coal power. However, because of the significant emissions of greenhouse gas and PM2.5 pollutants during power generation, the external cost of coal-fired power is estimated at 0.17 CNY/kWh on average, substantially higher than that of biomass power (0.06 CNY/kWh). Thus, the economic situations of biomass power reverse when environmental externalities are considered. Specially, wood residue-fired electricity has the lowest complete economic cost (0.48 CNY/kWh), approximately 2%-14% less than that of coal power. Therefore, a reasonable and comprehensive cost accounting mechanism is crucial for the development of the biomass power sector in China. Additionally, win-win policies could be developed to improve the environmental and economic performance of the country's power generation industry.

Chronic Kidney Disease Induces Inflammatory CD40+ Monocyte Differentiation via Homocysteine Elevation and DNA Hypomethylation.

RATIONALE: Patients with chronic kidney disease (CKD) develop hyperhomocysteinemia and have a higher cardiovascular mortality than those without hyperhomocysteinemia by 10-fold. OBJECTIVE: We investigated monocyte differentiation in human CKD and cardiovascular disease (CVD). METHODS AND RESULTS: We identified CD40 as a CKD-related monocyte activation gene using CKD-monocyte -mRNA array analysis and classified CD40 monocyte (CD40+CD14+) as a stronger inflammatory subset than the intermediate monocyte (CD14++CD16+) subset. We recruited 27 patients with CVD/CKD and 14 healthy subjects and found that CD40/CD40 classical/CD40 intermediate monocyte (CD40+CD14+/CD40+CD14++CD16-/CD40+CD14++CD16+), plasma homocysteine, S-adenosylhomocysteine, and S-adenosylmethionine levels were higher in CVD and further elevated in CVD+CKD. CD40 and CD40 intermediate subsets were positively correlated with plasma/cellular homocysteine levels, S-adenosylhomocysteine and S-adenosylmethionine but negatively correlated with estimated glomerular filtration rate. Hyperhomocysteinemia was established as a likely mediator for CKD-induced CD40 intermediate monocyte, and reduced S-adenosylhomocysteine/S-adenosylmethionine was established for CKD-induced CD40/CD40 intermediate monocyte. Soluble CD40 ligand, tumor necrosis factor (TNF)-α/interleukin (IL)-6/interferon (IFN)-γ levels were elevated in CVD/CKD. CKD serum/homocysteine/CD40L/increased TNF-α/IL-6/IFN-γ-induced CD40/CD40 intermediate monocyte in peripheral blood monocyte. Homocysteine and CKD serum-induced CD40 monocyte were prevented by neutralizing antibodies against CD40L/TNF-α/IL-6. DNA hypomethylation was found on nuclear factor-κB consensus element in CD40 promoter in white blood cells from patients with CKD with lower S-adenosylmethionine / S-adenosylhomocysteine ratios. Finally, homocysteine inhibited DNA methyltransferase-1 activity and promoted CD40 intermediate monocyte differentiation, which was reversed by folic acid in peripheral blood monocyte. CONCLUSIONS: CD40 monocyte is a novel inflammatory monocyte subset that appears to be a biomarker for CKD severity. Hyperhomocysteinemia mediates CD40 monocyte differentiation via soluble CD40 ligand induction and CD40 DNA hypomethylation in CKD.

Uncovering the Spatiotemporal Dynamics of Urban Infrastructure Development: A High Spatial Resolution Material Stock and Flow Analysis.

Understanding the complexity and sustainability of infrastructure development is crucial for reconciling economic growth, human well-being, and environmental conservation. However, previous studies on infrastructure's material metabolism were mainly conducted on a global or national scale, due largely to lack of more spatially refined data, and thus could not reveal the spatial patterns and dynamics on a city scale. Here, we integrated material flow analysis (MFA) and geographical information system (GIS) data to uncover the spatiotemporal patterns of the material stocks and flows accompanying the infrastructure development at a high spatial resolution for the case of Shanghai, China. From 1980 to 2010, material stocks and waste output flows of Shanghai's infrastructure system exhibited a significant increase from 83 to 561 million metric tons (Mt) and from 2 to 17 Mt, respectively. Input flows peaked in 2005 because of the economic slowdown and stepped-up policies to cool the housing market. Spatially, the center and peri-urban areas were the largest container of material stocks and biggest generator of demolition waste, while suburban areas absorbed 58%-76% of material inputs. Plans to make the city more compact will enhance the service capacity of stocks but may also increase the use of more energy and emissions-intensive construction materials (e.g., steel). Prolonging the service lifetime of infrastructure through proper management and increasing the recycling and reuse rate of demolition waste are also identified as highly efficient strategies.

Water conservation implications for decarbonizing non-electric energy supply: A hybrid life-cycle analysis.

Low-carbon transition in the non-electric energy sector, which includes transport and heating energy, is necessary for achieving the 2 °C target. Meanwhile, as non-electric energy accounts for over 60% of total water consumption in the energy supply sector, it is vital to understand future water trends in the context of decarbonization. However, few studies have focused on life-cycle water impacts for non-electric energy; besides, applying conventional LCA methodology to assess non-electric energy has limitations. In this paper, a Multi-Regional Hybrid Life-Cycle Assessment (MRHLCA) model is built to assess total CO2 emissions and water consumption of 6 non-electric energy technologies - transport energy from biofuel and gasoline, heat supply from natural gas, biogas, coal, and residual biomass, within 7 major emitting economies. We find that a shift to natural gas and residual biomass heating can help economies reduce 14-65% CO2 and save more than 21% water. However, developed and developing economies should take differentiated technical strategies. Then we apply scenarios from IMAGE model to demonstrate that if economies take cost-effective 2 °C pathways, the water conservation synergy for the whole energy supply sector, including electricity, can also be achieved.

Evaluating the impact of odors from the 1955 landfills in China using a bottom-up approach.

Landfill odors have created a major concern for the Chinese public. Based on the combination of a first order decay (FOD) model and a ground-level point source Gaussian dispersion model, the impacts from odors emitted from the 1955 landfills in China are evaluated in this paper. Our bottom-up approach uses basic data related to each landfill to achieve a more accurate and comprehensive understanding of impact of landfill odors. Results reveal that the average radius of impact of landfill odors in China is 796 m, while most landfills (46.85%) are within the range of 400-1000 m, in line with the results from previous studies. The total land area impacted by odors has reached 837,476 ha, accounting for 0.09% of China's land territory. Guangdong and Sichuan provinces have the largest land areas impacted by odors, while Tibet Autonomous Region and Tianjin Municipality have the smallest. According to the CALPUFF (California Puff) model and an analysis of social big data, the overall uncertainty of our calculation of the range of odor impacts is roughly -32.88% to 32.67%. This type of study is essential for gaining an accurate and detailed estimation of the affected human population and will prove valuable for addressing the current Not In My Back Yard (NIMBY) challenge in China.

High resolution carbon dioxide emission gridded data for China derived from point sources.

A high spatial resolution carbon dioxide (CO2) emission map of China is proving to be essential for China's carbon cycle research and carbon reduction strategies given the current low quality of CO2 emission data and the inconsistencies in data quality between different regions. Ten km resolution CO2 emission gridded data has been built up for China based on point emission sources and other supporting data. The predominance of emissions from industrial point sources (84% of total emissions) in China supports the use of bottom-up methodology. The resultant emission map is informative and proved to be more spatially accurate than the EDGAR data. Spatial distribution of CO2 emissions in China is highly unbalanced and has positive spatial autocorrelation. The spatial pattern is mainly influenced by key cities and key regions, i.e., the Jing-Jin-Ji region, the Yangtze River delta region, and the Pearl River delta region. The emission map indicated that the supervision of 1% of total land could enable the management of about 70% of emissions in China.

The modified cross-suture technique for loop stoma reversal.

TECHNIQUE: (1) A four-pointed star-shaped incision was made to separate the skin around the stoma intestine. (2) The stoma intestine was resected, and side-to-side or end-to-side anastomosis was performed to restore the continuity of the intestine. (3) The peritoneum and rectus sheath should be closed using continuous full-thickness sutures. (4) The subcutaneous fat layer and dermis layer should be sutured using purse-string sutures. Two holes should be made in the center of the sutured area. (5) The cross should be sutured intermittently on all four sides using 1-2 stitches. (6) A rubber strip should be placed in the center of the small hole. RESULTS: The presence of a small hole in the center of the incision and the use of a rubber strip for drainage facilitate early fluid drainage. The design of a cross-stitched skin incision helps reduce local tension. CONCLUSION: The modified cross-suture technique may reduce postoperative incision infections and associated pain, which is a suitable incision treatment method for loop stoma reversal.

Associations between remnant cholesterol levels and mortality in patients with diabetes.

BACKGROUND: Dyslipidemia is frequently present in patients with diabetes. The associations of remnant cholesterol and mortality remains unclear in patients with diabetes. AIM: To explore the associations of remnant cholesterol with all-cause and cardiovascular mortality in patients with diabetes. METHODS: This prospective cohort study included 4740 patients with diabetes who participated in the National Health and Nutrition Examination Survey from 1999 through 2018. Remnant cholesterol was used as the exposure variable, and all-cause and cardiovascular mortality were considered outcome events. Outcome data were obtained from the National Death Index, and all participants were followed from the interview date until death or December 31, 2019. Multivariate proportional Cox regression models were used to explore the associations between exposure and outcomes, in which remnant cholesterol was modeled as both a categorical and a continuous variable. Restricted cubic splines (RCSs) were calculated to assess the nonlinearity of associations. Subgroup (stratified by sex, age, body mass index, and duration of diabetes) and a series of sensitivity analyses were performed to evaluate the robustness of the associations. RESULTS: During a median follow-up duration of 83 months, 1370 all-cause deaths and 389 cardiovascular deaths were documented. Patients with remnant cholesterol levels in the third quartile had a reduced risk of all-cause mortality [hazard ratio (HR) 95% confidence interval (CI): 0.66 (0.52-0.85)]; however, when remnant cholesterol was modeled as a continuous variable, it was associated with increased risks of all-cause [HR (95%CI): 1.12 (1.02-1.21) per SD] and cardiovascular [HR (95%CI): 1.16 (1.01-1.32), per SD] mortality. The RCS demonstrated nonlinear associations of remnant cholesterol with all-cause and cardiovascular mortality. Subgroup and sensitivity analyses did not reveal significant differences from the above results. CONCLUSION: In patients with diabetes, higher remnant cholesterol was associated with increased risks of all-cause and cardiovascular mortality, and diabetes patients with slightly higher remnant cholesterol (0.68-1.04 mmol/L) had a lower risk of all-cause mortality.

Hsa_circ_0070440 mediates the prognosis and progress of human prostate cancer.

BACKGROUND: This study was designed to explore whether hsa_circ_0070440 was dysregulated in prostate cancer (PCa), and assess the effects of hsa_circ_0070440 alteration on PCa prognosis and cell function. METHODS: The expression levels of hsa_circ_0070440 were assessed in PCa tissues and cell lines. After the classification of patients with PCa based on mean hsa_circ_0070440 level in 138 cases, Chi-square test and survival analyses (Kaplan-Meier method and multivariable Cox proportional hazards analysis) were performed to assess the predictive value of hsa_circ_0070440 in treatment failure (TTF), time to PSA progression (TTPP) and overall survival time. To examine the function of hsa_circ_0070440 in PCa cells, 22Rv1 and C4-2B cells were used for CCK-8 proliferation and Transwell migration assays. Hsa_circ_0070440- and TXNDC5-specific bindings with miR-382/383-5p were validated by bioinformatic analysis and luciferase gene reporter assay. RESULTS: An increased expression of hsa_circ_0070440 was found in PCA tissues and cell lines, associated with clinical T stage (p=0.021) and lymph node metastasis. Hsa_circ_0070440 predicted poor overall survival, TTPP, and TTF, acting as independent prognostic factors for overall survival, TTPP, and TTF in patients with PCa. Knockdown of hsa_circ_0070440 inhibited cell proliferation and migration in vitro. Furthermore, hsa_circ_0070440 could sponge miR-382/383-5p. TXNDC5 was a common target gene for miR-382/383-5p in PCa cells. CONCLUSION: This study demonstrated that hsa_circ_0070440 can predict the prognosis of PCa patients. Hsa_circ_0070440 can facilitate the proliferation and migration of PCa cells, possibly by sponging miR-382/383-5p.