Inhibition of miR-9 Combined With Cisplatin Targeting APE1 Against Angiogenesis in Osteosarcoma.

Osteosarcoma (OS) is a highly malignant tumor, and chemotherapy resistance suggests poor prognosis in OS patients. In this study, the authors discovered that miR-9 has a pro-angiogenic role in OS. The anti-angiogenic effects of cisplatin were greatly increased when miR-9 was suppressed in OS. In addition, the authors demonstrated that miR-9 plays a pro-angiogenic role by targeting apoptosis-inducing factor 1 (APE1) in OS. Importantly, our in vivo experiments showed that inhibition of miR-9 combined with cisplatin could suppress xenograft tumor growth by targeting APE1 and decreasing angiogenesis in OS. In summary, our results suggest that miR-9 plays a role as a tumor promoter, and inhibiting miR-9 and APE1 is a new strategy for inhibiting OS angiogenesis and chemotherapy resistance.

Therapeutic study of hyperbaric oxygen on heme oxygenase-1 (HO-1) in patients with acute carbon monoxide poisoning and myocardial injury.

Carbon monoxide (CO) poisoning causes myocardial injury, which is attenuated by hyperbaric oxygen therapy (HBOT). During CO poisoning, the body increases anti-inflammatory proteins, including heme oxygenase-1 (HO-1), in response to oxidative stress. Considering the myocardial injury resulting from CO poisoning and the lack of sufficient information about the effect of HBOT on HO-1, the present study evaluated the effect of hyperbaric oxygen therapy on heme oxygenase-1 (HO-1) in patients with acute carbon monoxide poisoning and myocardial injury. In this regard, in a before-after Quasi-Experimental study, 20 patients with carbon monoxide poisoning and myocardial injury were studied. All patients underwent 40 daily hyperbaric oxygen therapy sessions for 90 minutes at a pressure of 2.4 ATA. Also, 20 healthy individuals, as a control group, were participated. To evaluate and compare the mRNA level of the HO-1 gene, the Real-time PCR technique was used. Paired t-test was used to compare the two indices of 6min walking distance and pulmonary arterial pressure (PAP) before and after the intervention. The results showed that the difference during 12 weeks was 8.65 ± 4.91 for PAP, and this reduction in pressure was statistically significant (P = 0.0092). The distance traveled increased by 28 ± 10.88 m in 6 minutes at the end of the study (P = 0.0084). Regarding the expression level of HO-1, the results showed that the expression level in the intervention group before the test had a significant increase compared to the control group (p = 0.0004). However, after hyperbaric oxygen therapy, the expression of this gene decreased significantly, and there was no statistically significant difference with the control group (p = 0.062). Overall, the results showed that HBOT significantly decreased HO-1 gene expression in CO poisoning and myocardial injury patients. It indicates the importance of HBOT in the treatment and compensation of cardiac tissue damage caused by CO poisoning.

Gravity-driven electrospun membranes for effective removal of perfluoro-organics from synthetic groundwater.

Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are emerging contaminants in water and soil. Electrospun membranes with open structure could treat PFAS in a gravity-driven mode with ultralow pressure needs. The electrospun ultrathin fibers (67 ± 27 nm) was prepared for the enhanced specific surface area; where polyvinylidene fluoride (PVDF) backbones and the grafted quaternary ammonium moieties (QA; PVDF-g-QA membranes) provided both hydrophobicity and anion-exchange ability (electrostatic interaction). High affinity towards the perfluorooctanoic acid (PFOA)/perfluorooctanesulfonic acid (PFOS) molecules (denoted as PFOX collectively) was observed, and >95% PFOX was removed from synthetic groundwater with a flux of 32.3 Lm-2h-1 at ΔPo = 313 Pa. With a higher octanol/water partitioning coefficient (Log Kow = 6.3) and close dispersion interaction parameter to the membrane backbones (16.6% difference in δd), the effective PFOS removal remained under alkaline and high conductivity conditions due to the intensive hydrophobic interaction compared to that of PFOA. Long-term studies exhibited >90% PFOX removal in an 8 h test with a capacity of 258 L/m2. Under mild regeneration conditions, PFOA and PFOS were concentrated by 35-fold and 39-fold, respectively. Overall, the gravity-driven electrospun PVDF-g-QA membranes, with adsorptive effectiveness and ease of regeneration, showed great potential in PFAS remediation.

Porous Structure Engineering of Iridium Oxide Nanoclusters on Atomic Scale for Efficient pH-Universal Overall Water Splitting.

Water electrolysis, which is a promising high-purity H2 production method, lacks pH-universality; moreover, highly efficient electrocatalysts that accelerate the sluggish anodic oxygen evolution reaction (OER) are scarce. Geometric structure engineering and electronic structure modulation can be efficiently used to improve catalyst activity. Herein, a facile Ar plasma treatment method to fabricate a composite of uniformly dispersed iridium-copper oxide nanoclusters supported on defective graphene (DG) to form IrCuOx @DG, is described. Acid leaching can be used to remove Cu atoms and generate porous IrOx nanoclusters supported on DG (P-IrOx @DG), which can serve as efficient and robust pH-universal OER electrocatalysts. Moreover, when paired with commercial 20 wt% Pt/C, P-IrOx @DG can deliver current densities of 350.0, 317.6, and 47.1 mA cm-2 at a cell voltage of 2.2 V for overall water splitting in 0.5 m sulfuric acid, 1.0 m potassium hydroxide, and 1.0 m phosphate buffer solution, respectively, outperforming commercial IrO2 and nonporous IrOx nanoclusters supported on DG (O-IrOx @DG). Probing experiment, X-ray absorption spectroscopy, and theoretical calculation results demonstrate that Cu removal can successfully create P-IrOx nanoclusters and introduce unsaturated Ir atoms. The optimum binding energies of oxygenated intermediate species on unsaturated Ir sites and ultrafine IrOx nanoclusters contribute to the high intrinsic OER catalytic activity of P-IrOx @DG.

Printed Nanochain-Based Colorimetric Assay for Quantitative Virus Detection.

Fast and ultrasensitive detection of pathogens is very important for efficient monitoring and prevention of viral infections. Here, we demonstrate a label-free optical detection approach that uses a printed nanochain assay for colorimetric quantitative testing of viruses. The antibody-modified nanochains have high activity and specificity which can rapidly identify target viruses directly from biofluids in 15 min, as well as differentiate their subtypes. Arising from the resonance induced near-field enhancement, the color of nanochains changes with the binding of viruses that are easily observed by a smartphone. We achieve the detection limit of 1 PFU µL-1 through optimizing the optical response of nanochains in visible region. Besides, it allows for real-time response to virus concentrations ranging from 0 to 1.0×105  PFU mL-1 . This low-cost and portable platform is also applicable to rapid detection of other biomarkers, making it attractive for many clinical applications.

See-through near-eye displays enabling vision correction.

We propose a see-through near-eye display, which is dedicated to the visually impaired users who suffer from refractive anomalies. Our solution is characterized by a pair of corrective lenses coated with multiplexed volume holograms. Its key performance including diffraction efficiency, field of view, modulation transfer function, and distortion has been studied.

Crosstalk-free dual-view liquid crystal display using patterned E-type polarizer.

We present a dual-view liquid crystal display that allows two faces of the display to be viewed in opposite directions to show different image/video content simultaneously. This device is characterized by a two-domain twisted nematic liquid crystal and a patterned E-type polarizer. Its key optical performance, including the voltage-luminance curve, crosstalk, and viewing angle, has been investigated. When observed at the best viewing angle, the crosstalk between the right and left views is less than 0.07% for all grayscales. In addition, this type of crosstalk can be immune to the misalignment between the polarizers and the liquid crystal layer. For each right/left view, the range of the viewing angle spans roughly 50°.

Virus-like particle vaccine by intranasal vaccination elicits protective immunity against respiratory syncytial viral infection in mice.

Respiratory syncytial virus (RSV) is a leading cause of lower respiratory infection in infants and children, but there is still no licensed vaccine available. In this report, we developed virus-like particle (VLP) vaccines based on the Bac-to-Bac baculovirus expression system, consisting of an influenza virus matrix (M1) protein and the RSV fusion protein (F) or glycoprotein (G). These RSV VLPs were identified by western blot analysis and electron microscopy. Female BALB/c mice immunized intranasally (i.n.) with RSV-F VLPs, RSV-G VLPs, or both showed viral-specific antibody responses against RSV. Total IgG, IgG1, IgG2a, and mucosal IgA were detected in mice with RSV-F plus RSV-G VLPs, revealing potent cellular and mucosal immune responses. Moreover, we found that these mixed RSV VLPs conferred enhanced protection against live RSV challenges, showing significant decreases in lung viral replication and obvious attenuation of histopathological changes associated with viral infections. These results demonstrate that RSV-F plus RSV-G VLPs by intranasal vaccination is a promising vaccine candidate that warrants further evaluation using cotton rat and primate models.

Combining features in a graphical model to predict protein binding sites.

Large efforts have been made in classifying residues as binding sites in proteins using machine learning methods. The prediction task can be translated into the computational challenge of assigning each residue the label binding site or non-binding site. Observational data comes from various possibly highly correlated sources. It includes the structure of the protein but not the structure of the complex. The model class of conditional random fields (CRFs) has previously successfully been used for protein binding site prediction. Here, a new CRF-approach is presented that models the dependencies of residues using a general graphical structure defined as a neighborhood graph and thus our model makes fewer independence assumptions on the labels than sequential labeling approaches. A novel node feature "change in free energy" is introduced into the model, which is then denoted by ΔF-CRF. Parameters are trained with an online large-margin algorithm. Using the standard feature class relative accessible surface area alone, the general graph-structure CRF already achieves higher prediction accuracy than the linear chain CRF of Li et al. ΔF-CRF performs significantly better on a large range of false positive rates than the support-vector-machine-based program PresCont of Zellner et al. on a homodimer set containing 128 chains. ΔF-CRF has a broader scope than PresCont since it is not constrained to protein subgroups and requires no multiple sequence alignment. The improvement is attributed to the advantageous combination of the novel node feature with the standard feature and to the adopted parameter training method.

Synthesis and characterization of 1'-C-cyano-2'-fluoro-2'-C-methyl pyrimidine nucleosides as HCV polymerase inhibitors.

The first synthesis of 1'-C-CN, 2'-F, 2'-C-Me pyrimidines is described. Anti-HCV activity was assessed and compared to the 1'-C-CN, 2'-C-Me as well as the 2'-F, 2'-C-Me pyrimidines. A phosphoramidate prodrug of the cytidine derivative showed activity in the low micromolar range against HCV replicons.

CRF-based models of protein surfaces improve protein-protein interaction site predictions.

BACKGROUND: The identification of protein-protein interaction sites is a computationally challenging task and important for understanding the biology of protein complexes. There is a rich literature in this field. A broad class of approaches assign to each candidate residue a real-valued score that measures how likely it is that the residue belongs to the interface. The prediction is obtained by thresholding this score.Some probabilistic models classify the residues on the basis of the posterior probabilities. In this paper, we introduce pairwise conditional random fields (pCRFs) in which edges are not restricted to the backbone as in the case of linear-chain CRFs utilized by Li et al. (2007). In fact, any 3D-neighborhood relation can be modeled. On grounds of a generalized Viterbi inference algorithm and a piecewise training process for pCRFs, we demonstrate how to utilize pCRFs to enhance a given residue-wise score-based protein-protein interface predictor on the surface of the protein under study. The features of the pCRF are solely based on the interface predictions scores of the predictor the performance of which shall be improved. RESULTS: We performed three sets of experiments with synthetic scores assigned to the surface residues of proteins taken from the data set PlaneDimers compiled by Zellner et al. (2011), from the list published by Keskin et al. (2004) and from the very recent data set due to Cukuroglu et al. (2014). That way we demonstrated that our pCRF-based enhancer is effective given the interface residue score distribution and the non-interface residue score are unimodal.Moreover, the pCRF-based enhancer is also successfully applicable, if the distributions are only unimodal over a certain sub-domain. The improvement is then restricted to that domain. Thus we were able to improve the prediction of the PresCont server devised by Zellner et al. (2011) on PlaneDimers. CONCLUSIONS: Our results strongly suggest that pCRFs form a methodological framework to improve residue-wise score-based protein-protein interface predictors given the scores are appropriately distributed. A prototypical implementation of our method is accessible at http://ppicrf.informatik.uni-goettingen.de/index.html.

Solution-Processed Metallic Nanowire Network for Wearable Transparent Thermal Radiation Shield.

Heating requirements for residential and commercial dwellings result in significant energy consumption and deleterious environmental effects. Personal radiative thermal management textiles regulate the wearer's body temperature by controlling the material's intrinsic optical properties. Passive heating textiles suppress radiative heat losses and therefore significantly reduce the energy consumption required for building heating systems. Guided by an optical theoretical approach, a transparent radiation shield (TRS) is designed based on silver nanowires (AgNWs) that can suppress human body heat with simultaneous visible light transmittance anticipated for practical fabrics. We experimentally demonstrated a TRS with large infrared light reflectance (low emissivity of 35%) and a visible (VIS) transparency value of 75% (400-800 nm). The results are well corroborated by the Mie scattering theory and the wire-mesh equivalent sheet impedance model, which provide fundamental mechanism understanding and guidance toward higher performance. The TRS is fabricated by a simple, solution-processing method with thermoplastic elastomer protective layers, granting notable stretching capabilities, mechanical robustness, and conformability to any body shape or object. The rigorous theoretical strategy enables the scalable synthesis of low-emissivity and visibly transparent textiles for personal thermal comfort.

Multivalence-State Tungsten Species Facilitated Iridium Loading for Robust Acidic Water Oxidation.

The development of the proton exchange membrane water electrolyzer (PEMWE) is still limited by the prohibitive cost and scarcity of iridium (Ir)-based oxygen evolution reaction (OER) catalyst. This work presents a novel catalyst synthesized by precursor-atomization and rapid joule-heating method, successfully doping iridium atoms into polyvalent tungsten blends (W0 , W5+ , W6+ ) based on titanium substrate. The vacancy engineering of unsaturated tungsten oxide (W5+ , W6+ ) reconstructs the electronic structure of the catalyst surface, which resulting in the low-valence state iridium species, avoiding excessive oxidation of iridium and accelerating the catalytic kinetics. Meanwhile, metallic tungsten (W0 ) improves the conductivity of catalyst and guarantees the stable existence of oxygen vacancy. The TiIrWOx possesses excellent performance in acidic OER catalysis, requiring overpotential of only 181 mV to drive 10.0 mA cm-2 , and exhibiting a high mass activity of 753 A gIr -1 at an overpotential of 300 mV. The membrane electrode assembly (MEA) with TiIrWOx as anode electrocatalyst can reduce the Ir consumption amount by >60% compared to commercial IrO2 , and it can operated over 120 h at a current density of 1.0 A cm-2 .

Comparison analysis of microbial agent and different compost material on microbial community and nitrogen transformation genes dynamic changes during pig manure compost.

This study aimed to assess the impact of microbial agent and different compost material, on physicochemical parameters dynamic change, nitrogen-transfer gene/bacterial community interaction network during the pig manure composting. Incorporating a microbial agent into rice straw-mushroom compost reduced the NH3 and total ammonia emissions by 25.52 % and 14.41 %, respectively. Notably, rice straw-mushroom with a microbial agent reduced the total ammonia emissions by 37.67 %. NH4+-N and pH emerged as primary factors of phylum-level and genus-level microorganisms. Microbial agent increased the expression of narG, nirK, and nosZ genes. Rice straw-mushroom elevated the content of amoA, nirK, nirS, and nosZ genes. Alcanivorax, Luteimonas, Pusillimonas, Lactobacillus, Aequorivita, Clostridium, Moheibacter and Truepera were identified as eight core microbial genera during the nitrogen conversion process. This study provides a strategy for reducing ammonia emissions and analyzes the potential mechanisms underlying compost processes.

Three species of rape responded to cadmium and melatonin alleviating Cd-toxicity in species-specific strategy.

Cadmium (Cd) pollution has been a significant concern in heavy metal pollution, prompting plants to adopt various strategies to mitigate its damage. While the response of plants to Cd stress and the impact of exogenous melatonin has received considerable attention, there has been limited focus on the responses of closely related species to these factors. Consequently, our investigation aimed to explore the response of three different species of rape to Cd stress and examine the influence of exogenous melatonin in this scenario. The research findings revealed distinctive responses among the investigated rape species. B. campestris showed the resistance to Cd and exhibited lower Cd absorption and sustained its physiological activity under Cd stress. In contrast, B. juncea accumulated much Cd and increased the amount of anthocyanin to mitigate the Cd-damage. Furthermore, B. napus showed the tolerance to Cd and tended to accumulate Cd in vacuoles under Cd stress, thereby decreasing the Cd damage and leading to higher activity of antioxidant enzymes and photosynthesis. Moreover, the application of exogenous melatonin significantly elevated the melatonin level in plants and mitigated Cd toxicity by promoting the activity of antioxidant enzymes, reducing Cd absorption, enhancing the chelating capacity with Cd, decreasing Cd accumulation in organelles, and reducing its fluidity. Specifically, exogenous melatonin increased the FHAc content in B. campestris, elevated the phytochelatins (PCs) level in B. napus, and stimulated photosynthesis in B. juncea. In summary, the findings underscore the species-specific responses of the three species of rape to both Cd stress and exogenous melatonin, highlighting the potential for tailored mitigation strategies based on the unique characteristics of each species.

Antiviral effectiveness and survival correlation of azvudine and nirmatrelvir/ritonavir in elderly severe patients with COVID-19: a retrospective real-world study.

Background: Azvudine and nirmatrelvir/ritonavir are approved to treat mild-to-moderate coronavirus disease 2019 (COVID-19) in adults with a high risk for progression to severe infection. We sought to compare the antiviral effectiveness and clinical outcomes of elderly severe patients with COVID-19 receiving these two antiviral agents. Methods: In this observational study, we identified 249 elderly patients with severe COVID-19 infection who were admitted to the Second Medical Center of the People's Liberation Army General Hospital from December 2022 to January 2023, including 128 azvudine recipients, 66 nirmatrelvir/ritonavir recipients and 55 patients not received antiviral treatments. We compared the cycle threshold (Ct) value dynamic change of all three groups. The primary outcome was a composite outcome of disease progression, including all-cause death, intensive care unit admission, and initiation of invasive mechanical ventilation. The outcomes of all enrolled patients were followed up from the electronic medical record system. Kaplan-Meier and Cox risk proportional regression analyses were used to compare the clinical outcomes of all three groups. To more directly compare the effectiveness of the two antiviral drugs, we performed propensity-score matching between the two antiviral groups and compared antiviral efficacy and clinical outcomes in the matched population. Findings: Among 249 patients (mean age, 91.41 years), 77 patients died during the follow-up period. When compared to patients who did not receive any antivirals, neither nirmatrelvir/ritonavir nor azvudine demonstrated a survival benefit. The Cox analysis of the all-cause death of the three groups showed that the risk of death was 0.730 (0.423-1.262) in the azvudine group 0.802 (0.435-1.480) and in the nirmatrelvir/ritonavir group compared with the non-antiviral group. After propensity score matching, we included 58 azvudine recipients and 58 nirmatrelvir/ritonavir recipients. The fitted curve of the Ct value after matching illustrated that the rate of viral decline in the early stage of nirmatrelvir/ritonavir treatment seems to surpass that of azvudine, but there was no statistical significance. Azvudine was seemly associated with a lower risk of composite outcomes (HR:1.676, 95% CI:0.805-3.488) and short-term all-cause death (HR: 1.291, 95%CI: 0.546-3.051). Interpretation: Patients who received azvudine have a similar antiviral effectiveness and survival curve trend compared to nirmatrelvir/ritonavir. In this limited series, antiviral treatment was not associated with a significant clinical benefit. This lack of clinical benefit might be attributed to potential bias. Funding: This study was supported by the "National Key R&D Program of China" (Funding No. 2020YFC2008900) and the National Defense Science and Technology Innovation Special Zone Project (223-CXCY-N101-07-18-01).

The synergistic effects of polyphenols and intestinal microbiota on osteoporosis.

Osteoporosis is a common metabolic disease in middle-aged and elderly people. It is characterized by a reduction in bone mass, compromised bone microstructure, heightened bone fragility, and an increased susceptibility to fractures. The dynamic imbalance between osteoblast and osteoclast populations is a decisive factor in the occurrence of osteoporosis. With the increase in the elderly population in society, the incidence of osteoporosis, disability, and mortality have gradually increased. Polyphenols are a fascinating class of compounds that are found in both food and medicine and exhibit a variety of biological activities with significant health benefits. As a component of food, polyphenols not only provide color, flavor, and aroma but also act as potent antioxidants, protecting our cells from oxidative stress and reducing the risk of chronic disease. Moreover, these natural compounds exhibit anti-inflammatory properties, which aid in immune response regulation and potentially alleviate symptoms of diverse ailments. The gut microbiota can degrade polyphenols into more absorbable metabolites, thereby increasing their bioavailability. Polyphenols can also shape the gut microbiota and increase its abundance. Therefore, studying the synergistic effect between gut microbiota and polyphenols may help in the treatment and prevention of osteoporosis. By delving into how gut microbiota can enhance the bioavailability of polyphenols and how polyphenols can shape the gut microbiota and increase its abundance, this review offers valuable information and references for the treatment and prevention of osteoporosis.

Prognostic value of baseline C-reactive protein in diffuse large B-cell lymphoma: a systematic review and meta-analysis.

Background: C-reactive protein (CRP) is an inflammatory marker of great significance for progression and prognosis of diffuse large B-cell lymphoma (DLBCL). However, previous studies reported the inconsistent findings of the relationship between CRP levels and survival in DLBCL patients. This meta-analysis was performed to investigate the predictive value of baseline CRP in the prognosis of DLBCL. Methods: Relevant studies on baseline CRP and prognosis of DLBCL were searched from PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform, and other databases. The search time was from establishment of the database to December 2022. The studies that reported the baseline CRP level, DLBCL confirmed by pathology, data on the relationship between CRP and overall survival (OS) or progression-free survival (PFS), and published in English or Chinese were included in this meta-analysis. No evidence showed the risk of bias of the included studies. Random-effects meta-analysis were conducted to calculate hazard ratio (HR). Stata15.0 software was used for the meta-analysis. Results: A total of 11 studies with 2,314 patients were included. All included studies were of high quality. The result of prognosis in patients with CRP and DLBCL was HR =2.48 [95% confidence interval (CI): 1.52 to 4.07]. The subgroup analysis showed that the risk of death was higher in both groups (HR =2.58, 95% CI: 2.10 to 3.18, random effects model I2=39.7%). There was a significant difference between group 1 and group 2 (P=0.000). Conclusions: Current evidence suggests that baseline CRP is a potential predictor of DLBCL patients and has potential prognostic value in clinical practice, improving the survival rate and quality of life of DLBCL patients. Additionally, OS appears to be strongly influenced by potential country specific differences, which may be related to racial differences and specific lifestyles.

Combined with multiplex and network analysis to reveal the key genes and mechanisms of nonalcoholic fatty liver disease.

BACKGROUND AND AIMS: Non-alcoholic fatty liver disease (NAFLD) has become a significant cause of chronic liver disease in developed countries, as a result of the worldwide trend of obesity and associated metabolic syndrome. Obesity and high-fat diet (HFD) are very common in patients with NAFLD. However, how to screen out key differentially expressed genes (DEGs) is a challenging task. The purpose of this study is to study the screen of key genes and pathways of HFD on the formation process of non-alcoholic fatty liver through network pharmacological analysis. METHODS: In this study, 173 genes associated with NAFLD were collected from the Gene Expression Omnibus (GEO) database. To find significant genes and pathways, combine network clustering analysis, topology analysis, and pathway analysis. RESULTS: The results showed that there were four key signaling pathways related to HFD, including complement cascade, Atorvastatin ADME, Asthma and Aflatoxin activation and detoxification. In addition, we identified six representative key genes, including Ccl5, Tlr2, Cd274, Cxcl10, Cxcl9 and Cd74, and screened three intersecting genes in Mus musculus and Homo sapiens sample, including C3, F2 and C7. CONCLUSIONS: In conclusion, our study constructed the NAFLD gene regulatory network of C57BL/6J mice for the first time and jointly analyzed the Mus musculus samples and Homo sapiens samples. It provides new insights for identifying potential biomarkers and valuable therapeutic clues, and puts forward a new method for web-based research. These findings may provide potential targets for early diagnosis, effective therapy and prognostic markers of NAFLD.

Discovery of a heterotrophic aerobic denitrification Pseudomonas sp. G16 and its unconventional nitrogen metabolic pathway.

From the aerobic pond of the farm, the Pseudomonas sp. G16 was screened and isolated, which was confirmed to exhibit heterotrophic nitrification and aerobic denitrification. The removal rates of Ammonia (100 mg/L), nitrate (120 mg/L), and nitrite (100 mg/L) by the strain were 94.13%, 92.62%, and 85.67%, and the nitrogen metabolism pathway of strain G16 was analyzed by whole genome sequencing combined with its nitrification-denitrification intermediate products, it was found that the strain had independent nitrification-denitrification ability and no nitrite accumulation. Under the conditions of carbon source of sodium succinate hexahydrate, C/N ratio of 15, pH of 7.5, temperature of 15 °C, and DO of 210 rpm, strain G16 showed excellent denitrification performance. Strain G16 was prepared into biochar-based immobilized bacterial particles, which successfully improved its nitrogen removal efficiency and stability. Therefore, the application of strain G16 in the field of real wastewater treatment has very necessary research value.