Quantifying Protein Shape to Elucidate Its Influence on Solution Viscosity in High-Concentration Electrolyte Solutions.

Therapeutic proteins with a high concentration and low viscosity are highly desirable for subcutaneous and certain local injections. The shape of a protein is known to influence solution viscosity; however, the precise quantification of protein shape and its relative impact compared to other factors like charge-charge interactions remains unclear. In this study, we utilized seven model proteins of varying shapes and experimentally determined their shape factors (v) based on Einstein's viscosity theory, which correlate strongly with the ratios of the proteins' surface area to the 2/3 power of their respective volumes, based on protein crystal structures resolved experimentally or predicted by AlphaFold. This finding confirms the feasibility of computationally estimating protein shape factors from amino acid sequences alone. Furthermore, our results demonstrated that, in high-concentration electrolyte solutions, a more spherical protein shape increases the protein's critical concentration (C*), the transition concentration beyond which protein viscosity increases exponentially relative to concentration increases. In summary, our work elucidates protein shape as a key determinant of solution viscosity through quantitative analysis and comparison with other contributing factors. This provides insights into molecular engineering strategies to optimize the molecular design of therapeutic proteins, thus optimizing their viscosity.

Safety and efficacy of indocyanine green fluorescence imaging for real-time guidance of laparoscopic thermal ablation in patients with liver cancer.

PURPOSE: To evaluate the safety and efficacy of indocyanine green fluorescence imaging for real-time guidance of laparoscopic thermal ablation in patients with liver cancer. MATERIALS AND METHODS: A total of 27 patients with 40 liver lesions underwent fluorescence-assisted laparoscopic ablation between January 2020 to March 2023. The sensitivity of indocyanine green (ICG)-fluorescence imaging, technique effectiveness rate and complications of fluorescence-assisted laparoscopic thermal ablation were evaluated. RESULTS: In total, 33 out of the 40 lesions were identified by ICG-fluorescence imaging technique, with the sensitivity of 82.5%. The sensitivity of ICG-fluorescence imaging of tumor detection in liver surface of parenchyma was significantly higher than that in the deeply located hepatic parenchyma (96.8% vs 33.3%, p = 0.002). ICG-fluorescence imaging procedures detected 4 lesions that cannot be seen on intraoperative ultrasound. It provides clear demarcation lines on the hepatic surface. Technical success is achieved if the necrotic zone had at least a 5 mm ablative margin around the outer edge of the ICG-fluorescence image. Technical success of fluorescence laparoscopic radiofrequency ablation (FLRFA) and fluorescence laparoscopic microwave ablation (FLMWA) was 100% (27/27). Technical effectiveness is defined by the complete necrotic lesions of the local tumor tissue during follow-up. According to the CT/MRI one month after FLRFA or FLMWA, the technical efficacy rate was 92.5% (37/40) and local tumor progression occurred in 7.5% (3/40) of the enrolled lesions. During the follow-up period, no major complications were observed. CONCLUSION: ICG-fluorescence imaging guided laparoscopic thermal ablation was feasible, safe and effective.

Adenosine Triphosphate-Induced Rapid Liquid-Liquid Phase Separation of a Model IgG1 mAb.

Adenosine triphosphate (ATP) is amphiphilic in nature and has the characteristics of a hydrotrope because of the charged triphosphate moiety and the large aromatic ring located on each end of its structure. Previous studies revealed that ATP can effectively maintain the solubility and prevent liquid-liquid phase separation (LLPS) of some biological proteins. In this study, we assessed the impact of ATP on the stability of a model therapeutic IgG1 antibody (MA1) to evaluate its potential application in protein formulation design. In our system, ATP promotes rapid LLPS of MA1 and we demonstrate that the ATP-MA1 static interaction drives phase separation of MA1. The attractive protein-protein interaction increased exclusively in the presence of ATP but not in the presence of other ATP analogues, such as adenosine diphosphate, adenosine monophosphate, and adenine. Through an intrinsic fluorescence quenching study, we revealed that ATP bound to MA1 electrostatically and formed static interactions; furthermore, such static ATP-MA1 interactions significantly altered the surface property of the protein and the protein-protein interactions and subsequently induced LLPS of MA1. This ATP-induced LLPS could be effectively eliminated by Mg2+, which chelated with ATP and thus negated ATP-MA1 static interaction. Our results revealed the unique molecular mechanism of ATP-induced rapid LLPS of MA1.

Comparative Analysis of 95 Patients with Different Severity in the Early Outbreak of COVID-19 in Wuhan, China.

OBJECTIVE: To explore the clinical characteristics of patients with different severity in the early outbreak of COVID-19, hoping to provide reference for clinical diagnosis and treatment. METHODS: We retrospectively analyzed the clinical data of 95 COVID-19 patients in Wuhan Red Cross Hospital of China from January 17 to February 13, 2020. All patients were investigated with epidemiological questionnaires. Outcomes were followed up until April 1, 2020. RESULTS: There were 53 males and 42 females, aged 22-84 years (mean 57.3 years). Clinical classification included 54 cases of common type, 27 cases of severe type, and 14 cases of critical type. Six patients had been exposed to the local Huanan seafood market. There were 38 clusters of COVID-19, including 27 family clusters and 11 work unit clusters. Common symptoms included fever (86 (90.5%) of 95), cough (73 (76.8%)), and fatigue (50 (52.6%)). Laboratory findings showed that the most common abnormalities were lymphopenia (75 (78.9%)), elevated D-dimer (60 (63.2%)), and elevated C-reactive protein (56 (58.9%)) on admission. All patients had abnormal chest computed tomography, showing patchy shadows or ground-glass opacities. Severe and critical cases were older, more likely to have shortness of breath, more likely to have underlying comorbidities, and more likely to have abnormal laboratory findings than common cases. The prognosis of patients with different degrees of severity was significantly different. All common and severe patients (100%) were cured and discharged from the hospital, while 10 (71.4%) of 14 critical patients died. CONCLUSIONS: COVID-19 has fast transmission speed and high pathogenicity. We must assess the severity of the disease and take corresponding treatment measures as early as possible.

Ammonia and greenhouse gas emissions from a subtropical wheat field under different nitrogen fertilization strategies.

Minimizing soil ammonia (NH3) and nitrous oxide (N2O) emission factors (EFs) has significant implications in regional air quality and greenhouse gas (GHG) emissions besides nitrogen (N) nutrient loss. The aim of this study was to investigate the impacts of different N fertilizer treatments of conventional urea, polymer-coated urea, ammonia sulfate, urease inhibitor (NBPT, N-(n-butyl) thiophosphoric triamide)-treated urea, and nitrification inhibitor (DCD, dicyandiamide)-treated urea on emissions of NH3 and GHGs from subtropical wheat cultivation. A field study was established in a Cancienne silt loam soil. During growth season, NH3 emission following N fertilization was characterized using active chamber method whereas GHG emissions of N2O, carbon dioxide (CO2), and methane (CH4) were by passive chamber method. The results showed that coated urea exhibited the largest reduction (49%) in the EF of NH3-N followed by NBPT-treated urea (39%) and DCD-treated urea (24%) over conventional urea, whereas DCD-treated urea had the greatest suppression on N2O-N (87%) followed by coated urea (76%) and NBPT-treated urea (69%). Split fertilization of ammonium sulfate-urea significantly lowered both NH3-N and N2O-N EF values but split urea treatment had no impact over one-time application of urea. Both NBPT and DCD-treated urea treatments lowered CO2-C flux but had no effect on CH4-C flux. Overall, application of coated urea or urea with NPBT or DCD could be used as a mitigation strategy for reducing NH3 and N2O emissions in subtropical wheat production in Southern USA.

[Inlaid labial versus bladder mucosal graft repair for complex urethral skin fistula].

OBJECTIVE: To compare the effect of inlaid labial mucosal graft repair (LMGR) with that of bladder mucosal graft repair (BMGR) in the treatment of complex urethral skin fistula after hypospadias repair. METHODS: This study included 55 cases of complex urethral skin fistula following hypospadias repair. We randomly assigned them to receive inlaid LMGR (n=36) or BMGR (n=19). After surgery, we compared the incidence of complications and recurrence rate of urinary fistula between the two groups of patients. RESULTS: The success rates of operation were 91.7% and 84.2% in the LMGR and BMGR groups, respectively, and the penile appearance was desirable in both groups. Postoperative complications included 2 cases of urinary fistula and 1 case of urethral stricture in each group. There were no statistically significant differences between the two groups in the success rate of operation (P>0.05) or the incidence rate of postoperative complications (P>0.05). CONCLUSIONS: Both inlaid LMGR and BMGR yield satisfactory results in the treatment of complex urethral skin fistula. However, LMGR involves less injury in mucosa collection and is easier to perform and therefore deserves more clinical attention.

Influence of high intensity focused ultrasound (HIFU) treatment to the pancreatic function in pancreatic cancer patients.

Present study was designed to investigate the pancreatic endocrine and exocrine function damage after High Intensity Focused Ultrasound (HIFU) therapy in patients with advanced pancreatic cancer. It was a retrospective analysis of blood glucose and amylase changes in 59 advanced pancreatic cancer patients treated with HIFU from 2010 February to 2014 January. The mean glucose and amylase before HIFU treatment were 6.02mmol/L and 59.17 U/L respectively. After HIFU treatment, it was shown that the mean glucose and amylase levels were 5.66mmol/L and 57.86/L respectively. There was no statistical significance between them. No acute pancreatitis was observed. The endocrine and exocrine function of pancreatic cancer patients was not damaged by HIFU treatment. HIFU treatment for the pancreatic cancer patients seems to be safe.

The Emerging Landscape for Combating Resistance Associated with Energy-Based Therapies via Nanomedicine.

Cancer represents a serious disease with significant implications for public health, imposing substantial economic burden and negative societal consequences. Compared to conventional cancer treatments, such as surgery and chemotherapy, energy-based therapies (ET) based on athermal and thermal ablation provide distinct advantages, including minimally invasive procedures and rapid postoperative recovery. Nevertheless, due to the complex pathophysiology of many solid tumors, the therapeutic effectiveness of ET is often limited. Nanotechnology offers unique opportunities by enabling facile material designs, tunable physicochemical properties, and excellent biocompatibility, thereby further augmenting the outcomes of ET. Numerous nanomaterials have demonstrated the ability to overcome intrinsic therapeutic resistance associated with ET, leading to improved antitumor responses. This comprehensive review systematically summarizes the underlying mechanisms of ET-associated resistance (ETR) and highlights representative applications of nanoplatforms used to mitigate ETR. Overall, this review emphasizes the recent advances in the field and presents a detailed account of novel nanomaterial designs in combating ETR, along with efforts aimed at facilitating their clinical translation.

High expression of ADAM8 correlates with poor prognosis in hepatocellular carcinoma.

OBJECTIVES: To evaluate the association between ADAM8 tissue expression and patient prognosis in hepatocellular carcinoma (HCC). METHODS: ADAM8 expression was analyzed using immunohistochemical staining methods on tissue samples from a consecutive series of 105 HCC patients who underwent resections between 2000 and 2006. The correlation of ADAM8 expression and patients' clinicopathological parameters was evaluated. Survival analysis was performed using the Kaplan-Meier method and Cox's proportional hazards model. RESULTS: ADAM8 was highly expressed in 54.3% of the HCC patients. The ADAM8 expression level was closely associated with serum AFP elevation, tumor size, histological differentiation, tumor recurrence, tumor metastasis, and tumor stage. Kaplan-Meier survival analysis showed that a high expression level of ADAM8 resulted in a significantly poor prognosis of HCC patients. Multivariate analysis revealed that ADAM8 expression level was an independent prognostic parameter for the overall survival rate of HCC patients. CONCLUSIONS: These findings provide evidence that a high expression level of ADAM8 serves as a biomarker for poor prognosis for HCC. Thus, we speculate that ADAM8 may be a potential target of antiangiogenic therapy for HCC.

Economic simulation of sports industry based on deep learning algorithm and data mining.

In recent years, the research on the domestic and international sports industry has made considerable achievements, but there are still some loopholes in the content, that is, there is still a vacancy in the comprehensive quantitative evaluation of the economic development of the sports industry, especially in the statistics of the output value of the sports industry, which lacks a comprehensive understanding of the economic development of the industry. In the state of dual demand research and application, it is still necessary to reveal the publicity and education of industrial scale, industrial structure, industrial function and industrial safety between people and industries, which is also a necessary way to develop the talent guarantee industry. In this work, we should establish an economic model related to the sports industry. It mainly applies the deep learning algorithm and data information mining technology. After allowing the extraction of information from the sports industry database, it is converted into an economic model of the sports industry. It uses scientific and efficient processing methods to analyze a large number of diverse data, in order to find the hidden laws and knowledge behind it. Therefore, this paper uses data mining technology to process and analyze the economic development data of sports industry in detail and conducts corresponding quantitative analysis according to the requirements of data development. Finally, this paper points out that the neural network in the deep learning algorithm has further training and learning on the economic data of the sports industry, which is convenient for the subsequent prediction of the economic development of the sports industry to make a greater breakthrough.

A Booster for Radiofrequency Ablation: Advanced Adjuvant Therapy via In Situ Nanovaccine Synergized with Anti-programmed Death Ligand 1 Immunotherapy for Systemically Constraining Hepatocellular Carcinoma.

Radiofrequency ablation (RFA) is one of the most common minimally invasive techniques for treating hepatocellular carcinoma (HCC), which could destroy tumors through hyperthermia and generate massive tumor-associated antigens (TAAs). However, residual malignant tissues or small satellite lesions are hard to eliminate, generally resulting in metastases and recurrence. Herein, an advanced in situ nanovaccine formed by layered double hydroxides carrying cGAMP (STING agonist) (LDHs-cGAMP) and adsorbed TAAs was designed to potentiate the RFA-induced antitumor immune response. As-prepared LDHs-cGAMP could effectively enter cancerous or immune cells, inducing a stronger type I interferon (IFN-I) response. After further adsorption of TAAs, nanovaccine generated sustained immune stimulation and efficiently promoted activation of dendritic cells (DCs). Notably, infiltrations of cytotoxic lymphocytes (CTLs) and activated DCs in tumor and lymph nodes were significantly enhanced after nanovaccine treatment, which distinctly inhibited primary, distant, and metastasis of liver cancer. Furthermore, such a nanovaccine strategy greatly changed the tumor immune microenvironment and promoted the response efficiency of anti-programmed death ligand 1 (αPD-L1) immunotherapy, significantly arresting the poorly immunogenic hepa1-6 liver cancer progression. These findings demonstrate the potential of nanovaccine as a booster for RFA in liver cancer therapy and provide a promising in situ cancer vaccination strategy.

Overexpression of HOXA1 correlates with poor prognosis in patients with hepatocellular carcinoma.

HOXA1 overexpression is sufficient for malignant transformation of nontumorigenic epithelial cells. It is known that HOXA1, which was upregulated in squamous cell carcinomas, affects both cell growth and death. The forced expression of HOXA1 in human breast cancer cells results in increased cell growth activity. However, it has not been reported in hepatocellular carcinoma (HCC). In this study, we used immunohistochemistry to compare HOXA1 protein expression in HCC and normal liver tissues and further analyzed HOXA1 protein expression in 156 clinicopathologically characterized HCC cases. We stably knocked down the endogenous expression level of HOXA1 in HepG2 cells with specific shRNA-expressing lentiviral vector. Following the successful establishment of stable cells, we examined in vitro cell growth by the MTT assay, anchorage-independent growth through a soft agar colony formation assay and cell migration/invasion by transwell and Boyden chamber assay. In addition, we also investigated in vivo tumor growth by xenograft transplantation of HepG2 cells into nude mice. Our results showed that the protein expression level of HOXA1 was markedly higher in HCC tissues than that in normal liver tissue (P = 0.019). In addition, a high expression level of HOXA1 protein was positively correlated with the T classification (P < 0.001), the N classification (P < 0.001), distant metastasis (P = 0.004), and the clinical stage (P < 0.001) of HCC patients. Patients with higher HOXA1 expression showed a significantly shorter overall survival time compared with patients with low HOXA1 expression. Multivariate analysis suggested that HOXA1 expression might be an independent prognostic indicator (P < 0.001) for the survival of patients with HCC. HOXA1-specific shRNA (shHOXA1) successfully knocked down HOXA1 endogenous expression in HepG2 cells. Compared to the parental and control shRNA-transfected (shCtrl) HepG2 cells, the shHOXA1 cells exhibited significantly reduced in vitro cell growth, anchorage-independent growth, and cell migration and invasion (P < 0.05). In vivo, the xenograft transplants from shHOXA1 cells gave rise to much smaller tumors compared with those from shCtrl cells. Collectively, high HOXA1 expression is associated with poor overall survival in patients with HCC. The downregulation of HOXA1 inhibits growth, anchorage-independent growth, and migration and invasion of HepG2 cells.

High RIN1 expression is associated with poor prognosis in patients with gastric adenocarcinoma.

The aim of this study was to investigate the expression and prognostic significance of RIN1 in gastric adenocarcinoma. RIN1 expression was analyzed using quantitative real-time PCR (qRT-PCR), Western blotting, and immunohistochemical staining on tissue samples from a consecutive series of 315 gastric adenocarcinoma patients who underwent tumor resections between 2003 and 2006. The relationship between RIN1 expression, clinicopathological factors, and patient survival was investigated. qRT-PCR results showed that the RIN1 mRNA expression was higher in tumor tissue samples than in the adjacent normal tissues, and a corresponding increase in protein expression was confirmed by Western blotting. Immunohistochemical staining indicated that RIN1 is highly expressed in 54.3 % of gastric adenocarcinomas. RIN1 expression levels were closely associated with tumor size, histological differentiation, tumor stage, and lymph node involvement. Kaplan-Meier survival analysis showed that high RIN1 expression exhibited a significant correlation with poor prognosis for gastric adenocarcinoma patients. Multivariate analysis revealed that RIN1 expression is an independent prognostic parameter for the overall survival rate of gastric adenocarcinoma patients. Our data suggest that RIN1 plays an important role in gastric adenocarcinoma progression and that a high RIN1 expression predicts an unfavorable prognosis in gastric adenocarcinoma patients.

Life Cycle Assessment and Multiobjective Optimization for Steam Cracking Process in Ethylene Plant.

With energy savings and emission reduction becoming national policies in recent years, the environmental impacts of industrial production are more and more critical. Most of the studies have concentrated on the environmental effects of the industrial production process. Little attention has been paid to the energy consumption and pollution emission in extracting, processing, and transporting the feedstock and other secondary materials. An integrated multiobjective optimization framework is proposed for the steam cracking process on the basis of a life cycle assessment and data-driven modeling methods. A multiobjective economic-environmental optimization model is developed on the basis of industrial and simulated data. A multiobjective optimization model combined with energy cost is also developed for comparative study. The nondominated sorting genetic algorithm-II is utilized to solve the problems, and the Pareto front is obtained. An industrial case study is carried out to indicate the effectiveness of the proposed method. The results show that the LCA-based method can better represent the environmental impacts in comparison with the standard energy cost model. Therefore, the proposed method can achieve a better tradeoff between economic benefits and environmental impacts for guiding ethylene production.

Combination of Radiofrequency Ablation With Resiquimod to Treat Hepatocellular Carcinoma Via Inflammation of Tumor Immune Microenvironment and Suppression of Angiogenesis.

Background: Radiofrequency ablation (RFA) destroys tumors through hyperthermic injury, which induces the release of immunogenic intracellular substrates and damages associated molecular patterns (DAMPs) to evoke a systemic immune response, but its therapeutic effect is limited. This study aimed to combine RFA with an immunomodulator, resiquimod (R848), to enhance the RFA-induced antitumor immunity. Methods: We performed RFA on subcutaneous tumors in immunocompetent mice and intraperitoneally injected R848 to observe the efficacy of the combination therapy. Our research investigated changes in the composition of tumor-infiltrating immune cells in primary and distant tumors by flow cytometry. Natural killer (NK) cell depletion experiment was applied to confirm the role of NK cell in the combination therapy. The expression levels of cytokines and chemokines were detected by real-time quantitative PCR. Immunohistochemical test was conducted to reveal tumor angiogenesis, tumor proliferation, and apoptosis after the different treatments. Results and Conclusion: Compared with RFA or R848 monotherapy, the combination therapy significantly slowed the tumor growth, prolonged the survival time, and shrank the tumor-draining lymph nodes of tumor-bearing mice. The flow cytometry results showed that tumor-infiltrating immune cells, total T cells, the ratio of CD8+ T and NK cells to CD45+ cells, and functional NK cells were obviously increased after the combined treatment. Distal tumor growth was also suppressed, and the profile of tumor-infiltrating immune cells was remodeled, too. In addition, the additive effect of the combination therapy disappeared after NK cell depletion. Furthermore, immunohistochemical results verified that R848 inhibited tumor angiogenesis in murine liver cancer, and the combination therapy promoted tumor cell apoptosis. In conclusion, our data suggest that RFA combined with R848 stimulated a stronger antitumor immune response and effectively inhibited liver cancer progression in a NK cell-dependent manner. Meanwhile, we confirmed that R848 inhibited tumor angiogenesis and promoted apoptosis in murine liver cancer. Overall, this is a promising therapeutic strategy to improve the efficacy of RFA in the treatment of liver cancer and provides a novel option for combined thermal ablation and immunotherapy.

Catalytic asymmetric [3 + 2] cycloaddition of pyrazolone-derived MBH carbonate: highly stereoselective construction of the bispiro-[pyrazolone-dihydropyrrole-oxindole] skeleton.

A catalytic asymmetric construction of the bispiro[pyrazolone-dihydropyrrole-oxindole] skeleton catalyzed by chiral DMAP-derived catalyst was successfully achieved by employing recently explored pyrazolone-derived MBH carbonate in high yields with excellent stereoselectivities. The proposed transition state indicated that the intermolecular hydrogen bonds and π-π interactive forces played an essential role in stereoselective chemical transformation.

FDG-PET/CT Radiomics Models for The Early Prediction of Locoregional Recurrence in Head and Neck Cancer.

PURPOSE: Both CT and PET radiomics is considered as a potential prognostic biomarker in head and neck cancer. This study investigates the value of fused pre-treatment functional imaging (18F-FDG PET/CT) radiomics for modeling of local recurrence of head and neck cancers. MATERIALS AND METHODS: Firstly, 298 patients have been divided into a training set (n = 192) and verification set (n = 106). Secondly, PETs and CTs are fused based on wavelet transform. Thirdly, radiomics features are extracted from the 3D tumor area from PETCT fusion. The training set is used to select the features reduction and predict local recurrence, and the random forest prediction models combining radiomics and clinical variables are constructed. Finally, the ROC curve and KM analysis are used to evaluate the prediction efficiency of the model on the validation set. RESULTS: Two PET/CT fusion radiomics features and three clinic parameters are extracted to construct the radiomics model. AUC value in the verification set 0.70 is better than no fused sets 0.69. The accuracy of 0.66 is not the highest value (0.67). Either consistency index CI 0.70 (from 0.67 to 0.70) or the p-value 0.025 (from 0.03 to 0.025) get the best result in all four models. CONCLUSION: The radiomics model based on the fusion of PETCT is better than the model based on PET or CT alone in predicting local recurrence, the inclusion of clinical parameters may result in more accurate predictions, which has certain guiding significance for the development of personalized, precise treatment scheme.

Efficacy and safety of weekly rifapentine and isoniazid for tuberculosis prevention in Chinese silicosis patients: a randomized controlled trial.

OBJECTIVE: The aim was to evaluate the efficacy, safety and completion rate of 3-month, once-weekly rifapentine and isoniazid for tuberculosis (TB) prevention among Chinese silicosis patients. METHODS: Male silicosis patients without human immunodeficiency virus infection, aged 18 years to 65 years, with or without latent TB infection, were randomized 1:1 to receive rifapentine/isoniazid under direct observation (3RPT/INH group) or were untreated (observation group). Active TB incidence was compared between the two groups with 37 months of follow-up. Safety profile and complete rates were evaluated. RESULTS: A total of 1227 adults with silicosis were screened; 513 eligible participants were enrolled and assigned to 3RPT/INH (n = 254) vs. observation (n = 259). Twenty-eight participants were diagnosed with active TB, and 9 and 19 in the 3RPT/INH group and observation groups, respectively. In the intention-to-treat analysis, the cumulative active TB rate was 3.5% (9/254) in the 3RPT/INH group and 7.3% (19/259) in the observation group (log rank p 0.055). On per protocol analysis, the cumulative active TB rates were 0.7% (1/139) and 7.3% (19/259), respectively (log rank p 0.01). Owing to an unexpected high frequency of adverse events (70.4%) and Grade 3 or 4 AEs (7.9%), the completion rate of the 3RPT/INH regimen was 54.7% (139/254). Twenty-six (10.8%) participants had flu-like systemic drug reactions; five (2.1%) experienced hepatotoxicity. DISCUSSION: Weekly rifapentine/isoniazid prophylaxis prevented active TB among Chinese people with silicosis when taken, irrespective of LTBI screening; efficacy was reduced by lack of compliance. The regimen must be used with caution because of the high rates of adverse effects. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov number: NCT02430259.

First-order nucleation and subsequent growth promote liquid-liquid phase separation of a model IgG1 mAb.

Although protein aggregation is commonly encountered during the manufacturing and storage of bio-therapeutics, the actual aggregation mechanism remains unclear, and little has been reported about the protein aggregation kinetics from time zero under particular solution conditions. In this study, we used real-time dynamic light scattering (DLS) to continuously monitor the time-dependent evolution of the Z-average hydrodynamic radius of a model IgG1 (JM2) immediately after the JM2 solution was subjected to various low temperatures (0-4 °C). We observed that JM2 aggregated to form nuclei first, and then it subsequently grew to small liquid droplets via a two-step, first-order, reversible process without causing irreversible structural changes: a slow first step defined as the "nucleation" step, wherein nuclei formed slowly until reaching a transitional time point (tonset), and a much faster second step initiated after tonset and the nucleus size of the protein increased rapidly, which eventually caused liquid droplet formation and liquid-liquid phase separation (LLPS). The "nucleation" rate constant (Knucleation) and particle growth rate constant (Kgrowth), as well as tonset, were found to be temperature, pH and concentration dependent. The aggregation of JM2 could be universally described by these two-step first-order kinetics: under conditions where JM2 aggregated very slowly, the second step was not observed within the experimental time scale, while under conditions where JM2 aggregated very rapidly, the first step could not be recorded. We believe that these three parameters, Knucleation, Kgrowth, and tonset, can be used to quantify and compare the aggregation kinetics of JM2 under different solution and temperature conditions and, furthermore, serve as a theoretical base to account for the key characteristics of the aggregation kinetics of JM2 and other protein therapeutics under conditions of interest.

Insight Derived from Molecular Dynamics Simulation into the Selectivity Mechanism Targeting c-MYC G-Quadruplex.

Stabilizing G-quadruplex (G4) structures formed in the c-MYC oncogene promoter represents a fundamental strategy for cancer therapy. However, most G4 stabilizers lack selectivity over various G4s in the genomes. By investigating the binding characteristics of a conjugated imidazole/carbazole (IZCZ-3) molecule with the G4s of c-MYC, c-KIT, and telomere through molecular docking and molecular dynamics simulations, the present study demonstrates that though the binding affinities between IZCZ-3 and the monomeric G4s are inconsistent with the experimental data, the dimeric c-MYC and c-KIT G4s can be targeted by IZCZ-3 through forming concomitant π-π stacking interactions with the intermolecular assembly producing significant contributions to the binding affinity. In the intermolecular dimeric G4-IZCZ-3 binding complexes, IZCZ-3 prefers the c-MYC G4 that has two exposed G-tetrads per monomer over the single G-tetrad-exposed c-KIT G4 by creating more aggregation effects. Taking the aggregation effects into account, the binding affinity order of IZCZ-3 follows c-MYC G4 > c-KIT G4 > telomeric G4, agreeing well with the experimental observation. Thus, the selectivity of IZCZ-3 for c-MYC G4 probably comes from its role in stabilizing the sandwichlike intermolecular aggregates, providing a framework for the development of selective stabilizers targeting c-MYC G4.