Transition from sulfur autotrophic to mixotrophic denitrification: performance with different carbon sources, microbial community and artificial neural network modeling.

To address the limitations inherent in both sulfur autotrophic denitrification (SAD) and heterotrophic denitrification (HD) processes, this study introduces a novel approach. Three carbon sources (glucose, methanol, and sodium acetate) were fed into the SAD system to facilitate the transition towards mixotrophic denitrification. Batch experiments were conducted to explore the effects of influencing factors (pH, HRT) on the denitrification performance of the mixotrophic system. Carbon source dosages were varied at 12.5%, 25%, and 50% of the theoretical amounts required for HD (18, 36, and 72 mg/L, respectively). The results showed distinct optimal dosages for each of the three organic carbon sources. The mixotrophic system, initiated with sodium acetate at 25% of the theoretical value, demonstrated the highest denitrification performance, achieving NO3--N removal efficiency of 99.8% and the NRR of 6.25 mg/(L·h). In contrast, the corresponding systems utilizing glucose (at 25% of the theoretical value) and methanol (at 50% of the theoretical value) achieved lower removal efficiency of 77.0% and 88.4%, respectively. The corresponding NRRs were 4.85 mg/(L·h) and 5.65 mg/(L·h). Following the transition from SAD to a mixotrophic system, the abundance of Thiobacillus decreased from 78.5% to 34.4% at the genus level, and the mixotrophic system cultivated a variety of other denitrifying bacteria (Thauera, Aquimonas, Azoarcus, and Pseudomonas), indicating an enhanced microbial community structure diversity. The established artificial neural network (ANN) model accurately predicted the effluent quality of mixotrophic denitrification, which predicted values closely aligning with experimental results (R2 > 0.9). Furthermore, initial pH exerted greater relative importance for COD removal and sulfur conversion, while the relative importance of HRT was more pronounced for NO3--N removal.

Effects of different substrate ratios on the enrichment of anammox bacteria at low substrate concentration.

Anammox bacteria (AnAOB) can be easily enriched under high temperatures and high substrate concentrations, while the application of the mainstream anammox process in low substrate municipal sewage is still relatively uncommon. Therefore, this study investigated the enrichment of AnAOB under conditions of low ammonia nitrogen and nitrite concentration at 25 °C. Results showed that using inoculated aerobic sludge, four ASBRs (R1, R2, R3 and R4) were successfully initiated with different influent substrate (NO2--N/NH4+-N) ratios of 1.2, 1.32, 1.4 and 1.5, respectively, with reactor start-up times were 162, 150, 120 and 134 days, respectively. The values of ΔNO2--N/ΔNH4+-N in reactors were stable at 1.17, 1.32, 1.43 and 1.53 respectively. The increase in influent substrate ratios resulted in improved TN removal rates and accelerated consumption of chemical oxygen demand (COD) during the initial start-up stage. The maximum TN removal rates achieved in the four reactors were 76.09%, 79.24%, 82.82% and 82.63%, respectively. The color of sludge gradually changes from yellowish-brown to reddish-brown. Furthermore, the surface of sludge exhibited a porous mineral structure, with crater-like cavities. The dominant anammox species in the system was identified as Candida Brocadia (3.04%). According to qPCR, the abundance of hzsB in the system is 1.65 × 1012 copies/g VSS, confirming the effective enrichment of AnAOB.

Optimizing operation strategy to improve storage of intracellular carbon sources in anaerobic/oxic/anoxic system: Enhanced nitrogen removal by endogenous denitrification.

Endogenous denitrification (ED) can make full use of the carbon sources and avoid replenishment of it. However, strengthening the storage of intracellular carbon sources is an important factor in improving ED efficiency. In this study, employed batch experiments using real domestic wastewater in the anaerobic/oxic (A/O) process. The anaerobic and oxic processes were run for 4 h under ambient conditions with the dissolved oxygen (DO) concentrations in the oxic stage controlled at 0.5, 1.0, 1.5, and 3.0 mg/L, respectively. The results showed that the content of poly-ß-hydroxyalkanoates (PHA) reached its peak at 60 min (1.25 mmolC/L). And with DO concentrations of 1.5 mg/L, the contents of glycogen (Gly) were 27.74 mmolC/L. Subsequently, the AOA-SBR was established to investigate its effect on the long-term nitrogen removal performance of domestic wastewater by optimizing the anaerobic time and DO concentrations. The results showed that at an anaerobic time of 60 min and DO concentration of 1.5 mg/L, the storage of the intracellular carbon sources was highest and the total nitrogen (TN) removal efficiency increased to 82.12%. In addition, Candidatus Competibacter dominated gradually in the system as the strategy was optimized.

Effect of Adding Electroacupuncture to Standard Triple Antiemetic Therapy on Chemotherapy-Induced Nausea and Vomiting: A Randomized Controlled Clinical Trial.

PURPOSE: We aim to determine the effectiveness of adding electroacupuncture to standard triple antiemetic therapy for treating chemotherapy-induced nausea and vomiting (CINV). METHODS: From March 2022 to December 2023, a randomized, blind, sham-controlled trial conducted across six Chinese hospitals investigated patients with breast cancer undergoing highly emetogenic chemotherapy (HEC). Patients were randomly assigned to either true electroacupuncture (n = 120) or sham electroacupuncture (n = 119) groups, with both groups receiving standard triple antiemetic therapy. The primary end point was the proportion of complete protection (no vomiting, no need for rescue treatment, and no significant nausea, as evaluated using the visual analog scale [VAS]) within 120 hours after receiving HEC. RESULTS: Among 239 randomly assigned patients, 235 (98.3%) completed the trial. In the full analysis set, compared with the sham electroacupuncture group, the true electroacupuncture group demonstrated a significant increase in the complete protection rate from 34.5% to 52.9% (P = .004). Additionally, true electroacupuncture also showed enhanced total control (4.3% v 13.4%; P = .014), no significant nausea (37.9% v 58.8%; P = .001), no nausea (4.3% v 13.4%; P = .014), and nausea VAS score = 0 mm (4.3% v 12.6%; P = .023). However, the occurrence of no vomiting in the overall stage was similar (76.7% v 73.9%; P = .622) in both groups. Post hoc exploratory analysis showed a significantly higher rate of complete protection during the delayed stage in the true electroacupuncture group compared with the sham electroacupuncture group, with no significant difference observed during the acute stage. CONCLUSION: Adding true electroacupuncture to standard triple antiemetic therapy significantly enhances the efficacy of CINV treatment in patients with breast cancer receiving HEC.

Impacts of cefalexin on nitrite accumulation, antibiotic degradation, and microbial community structure in nitrification systems.

The intensive use of various antibiotics for clinical and agricultural purposes has resulted in their widespread use in wastewater treatment plants. However, little research has been conducted on the effects of antibiotics on nitrite accumulation, antibiotic degradation pathways, or the microbial community structure in nitrification systems. In this study, a laboratory-scale sequencing batch reactor was used to treat wastewater containing cefalexin (CFX) at different doses (5, 10, 15, and 20 mg/L). The results showed that the nitrification performance was gradually inhibited with increasing CFX concentration. Ammonia-oxidizing bacteria (AOB) are more tolerant to CFX than nitrite-oxidizing bacteria (NOB). Under 15 mg/L of CFX, NOB were completely suppressed, whereas AOB were partially inhibited, as evidenced by an ammonium removal efficiency of 60 % and a 90 % of nitrite accumulation ratio. The partial nitritation was achieved. CFX can be degraded into 2-hydroxy-3phenylpyrazine and cyclohexane through bacterial co-metabolism, and CFX degradation gradually diminishes with decreasing nitrification performance. The abundance of Nitrospira gradually decreased with increasing CFX concentration. Ferruginibacter, Hydrogenophaga, Thauera, and Pseudoxanthomonas were detected at relative abundances of 13.2 %, 0.4 %, 0.9 %, and 1.3 %, respectively, indicating their potential roles in antibiotic degradation. These findings provide insight into the interactions between antibiotics and microbial communities, which are beneficial for a better understanding of antibiotic degradation in nitrification systems.

Cationic Polythiophene as Gene Carrier and Sonosensitizer for Sonodynamic Synergic Gene Therapy of Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is one of the most lethal and highly malignant tumors. Sonodynamic therapy (SDT) is a new cancer treatment method. One of its unique advantages lies in the treatment of deep tumors due to its excellent tissue penetration ability caused by ultrasound (US). However, most sonosensitizers suffer from weak sonodynamic activity and poor tumor-targeting ability. In addition, small interfering RNA (siRNA) is a promising anticancer drug, and the efficacy of siRNA-based gene therapy largely depends on the cell impermeability of the gene carrier. Here, we designed and synthesized a cationic polythiophene derivative (PT2) that can be used as a siRNA carrier for gene therapy. Moreover, PT2 could generate singlet oxygen (1O2) and hydroxyl radicals (O2•-) under US irradiation, which suggests that PT2 could be used for SDT. Our study discovered that NUDT1 promoted HCC proliferation and inhibited intracellular ROS production. Therefore, si-NUDT1 was designed and synthesized. NUDT1 silencing can inhibit the proliferation of tumor cells and increase the production of intracellular ROS to further improve the efficacy of SDT. Then, si-NUDT1 assembled with PT2 and DSPE-PEG-FA to prepare a novel tumor-targeting nanodrug (PT2-siRNA@PEG-FA) for synergic SDT and gene therapy of HCC.

Advances and perspectives in phototherapy-based combination therapy for cancer treatment.

Phototherapy, including photothermal therapy (PTT) and photodynamic therapy (PDT), has the advantages of spatiotemporal selectivity, non-invasiveness, and negligible drug resistance. Phototherapy has been approved for treating superficial epidermal tumors. However, its therapeutic efficacy is limited by the hypoxic tumor microenvironment and the highly expressed heat shock protein. Moreover, poor tissue penetration and focused irradiation laser region in phototherapy make treating deep tissues and metastatic tumors challenging. Combination therapy strategies, which integrate the advantages of each treatment and overcome their disadvantages, can significantly improve the therapeutic efficacy. Recently, many combination therapy strategies have been reported. Our study summarizes the strategies used for combining phototherapy with other cancer treatments such as chemotherapy, immunotherapy, sonodynamic therapy, gas therapy, starvation therapy, and chemodynamic therapy. Some research cases were selected to analyze the combination therapy effect, delivery platform feature, and synergetic anticancer mechanisms. Moreover, additional research cases are summarized in the tables. This review provides strong evidence that phototherapy-based combination strategies can enhance the anticancer effect compared with phototherapy alone. Additionally, the challenges and future perspectives associated with these combinational therapies are discussed.

RPGRIP1L as a new biomarker for prognosis and tumor immune of breast cancer.

The Retinitis pigmentosa GTPase regulator interacting protein 1-like (RPGRIP1L) gene encodes an important protein that performs various physiological functions. Variants of RPGRIP1L are related to a number of diseases. However, it is currently unknown whether RPGRIP1L is correlated with breast invasive carcinoma (BRCA). In BRCA tissue specimens, the expression of RPGRIP1L was found to be elevated in comparison to its levels in normal breast tissue. A notable decline in survival rates was associated with patients exhibiting heightened RPGRIP1L gene expression. Consistent with these findings, our data also show the above results. Furthermore, elevated expression of RPGRIP1L corresponded with a spectrum of unfavorable clinicopathological features, including the presence of human epidermal growth factor receptor 2 (HER2) positive, estrogen receptor (ER) positive, over 60 years old, T2, N0, and N3. At the same time, our research indicated that 50 genes and 15 proteins were positively related to RPGRIP1L, and that these proteins and genes were mostly involved in T cell proliferation, immune response, cytokine activity, and metabolic regulation. In addition, in the present study, there was a significant correlation between RPGRIP1L expression and immune cell infiltration. Finally, we found that four Chemicals could downregulate the expression of RPGRIP1L. Altogether, our results strongly indicated that RPGRIP1L might serve as a new prognostic biomarker for BRCA.

Factors influencing cardiovascular system-related post-COVID-19 sequelae: A single-center cohort study.

Background: COVID-19 sequelae are long-term symptoms of COVID-19. Cardiovascular disease is not only a risk factor for the occurrence of COVID-19 sequelae but also a potential result directly or indirectly caused by COVID-19 infection. Objectives: The aim of this study is to investigate the cardiovascular system-related symptoms of outpatients and inpatients of the Cardiovascular Department of the Affiliated Hospital of Shandong University of Traditional Chinese Medicine after recovery from novel coronavirus infection, analyze the influencing factors, and symptom characteristics of related symptoms, and thereby provide a basis for further formulating a reasonable diagnosis and treatment plan. Materials and methods: From January 15, 2023 to February 15, 2023, 452 recovered patients with novel coronavirus infection who were admitted to the Cardiovascular Department of the Affiliated Hospital of Shandong University of Traditional Chinese Medicine due to symptoms of the cardiovascular system (complaints of chest pain and palpitations) were involved in this study. A unified questionnaire was used to record the general information, past medical history, characteristics of chest pain or palpitations, and other COVID-19-related sequelae of the selected patients. All data were statistically analyzed by SPSS 26.0 statistical software. Results: A total of 226 patients with cardiovascular symptoms and 226 patients without cardiovascular symptoms were included in this study. After univariate and multivariate logistic regression analysis, women (OR 2.081, 95% CI = 1.358-3.189) and young people (OR 2.557, 95% CI = 1.44-4.54) had a higher risk of cardiovascular symptoms; prehypertension (OR 1.905, 95% CI = 1.091-3.329) and hypertension (OR 2.287, 95% CI = 1.433-3.649) increased the risk of cardiovascular symptoms; patients with history of previous cardiovascular disease (OR 1.862, 95% CI = 1.16-2.988) and history of diabetes (OR 2.138, 95% CI = 1.058-4.319) had a higher risk of developing cardiovascular symptoms. The main symptoms related to COVID-19 sequelae reported by all 452 patients were fatigue (76.8%), shortness of breath (54.2%), dry mouth and bitter mouth (46.0%), gastrointestinal symptoms (42.7%), sleep disturbances (37.4%), sweating (31.9%), chills (29%), dizziness (25.7%), confusion of brain fog (25.2%), and tinnitus (14.6%). Compared with patients without cardiovascular symptoms, patients with cardiovascular symptoms were more likely to have shortness of breath (OR 3.521, 95% CI = 2.226-5.472), gastrointestinal symptoms (OR 2.039, 95% CI = 1.226-3.393), and dry mouth and bitter mouth (OR 1.918, 95% CI = 1.229-2.992). The differences were statistically significant (P < 0.05). Conclusion: In this new coronavirus infection, women, young people, the elderly, people with prehypertension, hypertension, and patients with a history of cardiovascular disease and diabetes have a higher risk of developing cardiovascular symptoms, and patients with cardiovascular symptoms are more likely to develop other COVID-19 sequelae.

Cervical cancer subtype identification and model building based on lipid metabolism and post-infection microenvironment immune landscape.

Background: As the second most common gynecological cancer, cervical cancer (CC) seriously threatens women's health. The poor prognosis of CC is closely related to the post-infection microenvironment (PIM). This study investigated how lipid metabolism-related genes (LMRGs) affect CC PIM and their role in diagnosing CC. Methods: We analyzed lipid metabolism scores in the CC single-cell landscape by AUCell. The differentiation trajectory of epithelial cells to cancer cells was revealed using LMRGs and Monocle2. Consensus clustering was used to identify novel subgroups using the LMRGs. Multiple immune assessment methods were used to evaluate the immune landscape of the subgroups. Prognostic genes were determined by the LASSO and multivariate Cox regression analysis. Finally, we perform molecular docking of prognostic genes to explore potential therapeutic agents. Results: We revealed the differentiation trajectory of epithelial cells to cancer cells in CC by LMRGs. The higher LMRGs expression cluster had higher survival rates and immune infiltration expression. Functional enrichment showed that two clusters were mainly involved in immune response regulation. A novel LMR signature (LMR.sig) was constructed to predict clinical outcomes in CC. The expression of prognostic genes was correlated with the PIM immune landscape. Small molecular compounds with the best binding effect to prognostic genes were obtained by molecular docking, which may be used as new targeted therapeutic drugs. Conclusion: We found that the subtype with better prognosis could regulate the expression of some critical genes through more frequent lipid metabolic reprogramming, thus affecting the maturation and migration of dendritic cells (DCs) and the expression of M1 macrophages, reshaping the immunosuppressive environment of PIM in CC patients. LMRGs are closely related to the PIM immune landscape and can accurately predict tumor prognosis. These results further our understanding of the underlying mechanisms of LMRGs in CC.

Long-term survival after neoadjuvant therapy for triple-negative breast cancer under different treatment regimens: a systematic review and network meta-analysis.

BACKGROUND: Triple-negative breast cancer (TNBC) is a life-threatening subtype of breast cancer with limited treatment options. Therefore, this network meta-analysis (NMA) aimed to evaluate and compare the effect of various neoadjuvant chemotherapy (NCT) options on the long-term survival of patients with TNBC. METHODS: PubMed, Embase, Medline, Cochrane Library, Web of Science, and major international conference databases were systematically searched for randomized controlled trials (RCTs) on the efficacy of various NCT options in patients with TNBC. Searches were performed from January 2000 to June 2023. Study heterogeneity was assessed using the I2 statistic. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate disease-free survival (DFS) and overall survival (OS). Odds ratios (ORs) and 95% CIs were used to evaluate the pathologic complete response (pCR). The primary outcome was DFS. RESULTS: We conducted an NMA of 21 RCTs involving 8873 patients with TNBC. Our study defined the combination of anthracyclines and taxanes as the preferred treatment option. On this basis, the addition of any of the following new drugs is considered a new treatment option: bevacizumab (B), platinum (P), poly-ADP-ribose polymerase inhibitors (PARPi), and immune checkpoint inhibitor (ICI). Based on the surface under the cumulative ranking curve (SUCRA) values, the top three SUCRA area values of DFS were taxanes, anthracycline, and cyclophosphamide (TAC; 89.23%); CT (84.53%); and B (81.06%). The top three SUCRA area values of OS were CT (83.70%), TAC (62.02%), and B-containing regimens (60.06%). The top three SUCRA area values of pCR were B + P-containing regimens (82.7%), ICI + P-containing regimens (80.2%), and ICI-containing regimens (61.8%). CONCLUSIONS: This NMA showed that standard chemotherapy is a good choice with respect to long-term survival. Moreover, B associated with P-containing regimens is likely to be the optimal treatment option for neoadjuvant TNBC in terms of pCR.

Sorafenib and tetrakis (4-carboxyphenyl) porphyrin assembled nanoparticles for synergistic targeted chemotherapy and sonodynamic therapy of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is characterized by a high degree of malignancy and mortality. Sorafenib (SOR), a multi-kinase inhibitor, is clinically used in the treatment of HCC. However, SOR suffers from serious side effects and drug resistance. The development of novel therapeutic strategies for HCC therapy is urgently needed. Sonodynamic therapy (SDT) has unique advantages in treating deep tumors due to the merits of deep tissue penetration, low side effects, and the absence of drug resistance. Here, we developed multifunctional nanoparticles (NPs) termed SOR-TCPP@PEG-FA by assembling SOR, tetrakis (4-carboxyphenyl) porphyrin (TCPP), and folic acid (FA)-modified DSPE-PEG. The FA group enhances the tumor targeting capability of these NPs, while TCPP generates ROS under ultrasound (US) irradiation, which are toxic to tumor cells, and SOR with chemotherapeutic effects is released, thus realizing the synergistic SDT and chemotherapy of tumors.

Response of sulfide autotrophic denitrification process and microbial community to oxytetracycline stress.

The coexistence of antibiotics with sulfide and nitrate is common in sewage. Thus, this study explored the removal performance of nitrate and sulfide, and the response of extracellular polymer substances (EPS) and the microbial community to the sulfide autotrophic denitrification (SAD) process under oxytetracycline (OTC) stress. In Phase Ⅰ, the SAD system showed favouranle performance (nitrate removal rate ＞ 92.57%, sulfide removal rate ＞ 97.75%). However, in Phase Ⅳ, at OTC concentrations of 10, 15, and 20 mg/L, the NRE decreased to 76.13%, 40.71%, 11.37%, respectively, and the SRE decreased to 97.58%, 97.09%, 92.84%, respectively. At OTC concentrations of 0, 10, 15, and 20 mg/L, the EPS content were 1.62, 1.75, 2.03, and 1.42 mg/gVSS, respectively. The results showed that SAD performance gradually deteriorated under OTC stress. In particular, when the OTC concentration was 20 mg/L, the EPS content was lower than that of the control test, which could be attributed to the occurrence of microbial death. Finally, high-throughput sequencing results showed that OTC exposure led to gradual domination by heterotrophic denitrifying bacteria.

Analysis of full nitrification performance and optimization of reaction properties using N and O isotope fractionation.

Isotopic fractionation properties have been successfully applied to identify the distribution and fate of nitrogen in ecosystems, revealing the dynamic response of N and O elements during nitrogen transport and transformation. However, only a few studies used the dual isotope technology in activated sludge treatment of domestic wastewater and many aspects of the process are unclear. Here, we use the dual isotope techniques to increase the understanding of the substrates required for nitrification reactions, nitrification performance, and process operation. Mixed sludge was successfully enriched with nitrifying bacteria in a continuous culture, and three dissolved oxygen (DO; 0.2-0.4, 3-4, and 7-8 mg/L) and three temperature levels (18 ± 1, 25 ± 1, and 33±1 °C) were tested for efficiency of nitrate nitrogen accumulation. Both δ15NNO3 and δ18ONO3 showed a gradual increase with an increase in DO or temperature, the increase in DO slowed down the fractionation effect of isotopes, and the increase in temperature reduced the variability in N and O utilization. The slope of δ15NNO3:δ18ONO3 gradually approached 1 with the increase in DO (<7 mg/L) or in temperature, and the optimal range of DO and temperature were accurately judged to strengthen the denitrification performance of nitrifying bacteria. δ18OH2O was successfully taken up to form NO2--N and NO3--N with 74 and 91% replacement rates, respectively, indicating that DO and H2O jointly completed the formation of nitrate nitrogen during the long nitrification process. In summary, the in situ dual isotope technology can help optimize the influence of environmental factors on nitrification performance to guide the long-term stable operation of nitrification reactions in sludge treatment and provide a reliable basis for complex activated sludge nitrification systems.

The mechanism of the Shuang Bai Su Qing recipe in treating periodontitis based on network pharmacology and molecular docking technology.

AIM: To explore the material basis of action of the Shuang Bai Su Qing recipe in the treatment of periodontitis using network pharmacology. METHODS: Using TCMSP, we screened the chemical components of 5 drugs. The components were input into the UniProt and PubChem databases to obtain target proteins; Genecards, Online Mendelian Inheritance in Man (OMIM), and CEO databases were used to screen target proteins for periodontal disease. The targets were imported into the Cytoscape software to obtain intersecting targets, and conduct visual analysis to build the PPI network. The intersecting targets were then input into the Matescape database and subjected to biological process (BP) analysis, molecular function (MF) analysis, cell component (CC) analysis, and KEGG enrichment analysis. RESULTS: Twenty-seven TCM chemical components were obtained, with 198 target proteins associated with drugs and 2587 target proteins for periodontitis. Ten core targets were identified. Gene Ontology (GO) functional enrichment analysis yielded results for 20 BP, 11 MF, and 10 CC. KEGG analysis revealed that the main mechanisms of action were related to MAPK signaling pathway. Molecular docking results showed that luteolin strongly bind to TNF, IL6, and IL1B target proteins. CONCLUSION: The mechanism underlying the treatment of periodontitis with the recipe formula may be closely related to multiple targets in the MAPK signaling pathway.

Cellular nucleic acid-binding protein restricts SARS-CoV-2 by regulating interferon and disrupting RNA-protein condensates.

A detailed understanding of the innate immune mechanisms involved in restricting SARS-CoV-2 infection and how the virus disrupts these processes could reveal new strategies to boost antiviral mechanisms and develop therapeutics for COVID-19. Here, we identify cellular nucleic acid-binding protein (CNBP) as a key host factor controlling SARS-CoV-2 infection. In response to RNA-sensing pathways, CNBP is phosphorylated and translocates from the cytosol to the nucleus where it binds to the interferon-ß enhancer to initiate transcription. Because SARS-CoV-2 evades immune detection by the host's RNA-sensing pathways, CNBP is largely retained in the cytosol where it restricts SARS-CoV-2 directly, leading to a battle between the host and SARS-CoV-2 that extends beyond antiviral immune signaling pathways. We further demonstrated that CNBP binds SARS-CoV-2 viral RNA directly and competes with the viral nucleocapsid protein to prevent viral RNA and nucleocapsid protein from forming liquid-liquid phase separation (LLPS) condensates critical for viral replication. Consequently, cells and animals lacking CNBP have higher viral loads, and CNBP-deficient mice succumb rapidly to infection. Altogether, these findings identify CNBP as a key antiviral factor for SARS-CoV-2, functioning both as a regulator of antiviral IFN gene expression and a cell-intrinsic restriction factor that disrupts LLPS to limit viral replication and spread. In addition, our studies also highlight viral condensates as important targets and strategies for the development of drugs to combat COVID-19.

Stemness signature and targeted therapeutic drugs identification for Triple Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer and carries the worst prognosis, characterized by the lack of progesterone, estrogen, and HER2 gene expression. This study aimed to analyze cancer stemness-related gene signature to determine patients' risk stratification and prognosis feature with TNBC. Here one-class logistic regression (OCLR) algorithm was applied to compute the stemness index of TNBC patients. Cox and LASSO regression analysis was performed on stemness-index related genes to establish 16 genes-based prognostic signature, and their predictive performance was verified in TCGA and METABERIC merged data cohort. We diagnosed the expression level of prognostic genes signature in the tumor immune microenvironment, analyzed the TNBC scRNA-seq GSE176078 dataset, and further validated the expression level of prognostic genes using the HPA database. Finally, the small molecular compounds targeted at the anti-tumor effect of predictive genes were screened by molecular docking; this novel stemness-based prognostic genes signature study could facilitate the prognosis of patients with TNBC and thus provide a feasible therapeutic target for TNBC.

Single-cell and bulk RNA-sequencing analysis to predict the role and clinical value of CD36 in lung squamous cell carcinoma.

The majority of patients with lung squamous cell carcinoma are diagnosed at an advanced stage, which poses a challenge to the efficacy of chemotherapy. Therefore, the search for an early biomarker needs to be addressed. CD36 is a scavenger receptor expressed in various cell types. It has been reported that it is closely related to the occurrence and development of many kinds of tumours. However, its role in lung squamous cell carcinoma has not been reported. Our research aims to reveal the role of CD36 in lung squamous cell carcinoma by integrating single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing data. We used bioinformatics methods to explore the potential carcinogenicity of CD36 by analysing the data from the cancer genome map (TCGA), gene expression comprehensive map (GEO), human protein map (HPA) comparative toxicology genomics database (CTD) and other resources. Our study dissected the relationship between CD36 and prognosis and gene correlation, functional analysis, mutation of different tumours, infiltration of immune cells and exploring the interaction between CD36 and chemicals. The results showed that the expression of CD36 was heterogeneous. Compared with normal patients, the expression was low in lung squamous cell carcinoma. In addition, CD36 showed early diagnostic value in four kinds of tumours (LUSC, BLCA, BRCA and KIRC) and was positively or negatively correlated with the prognosis of different tumours. The relationship between CD36 and the tumour immune microenvironment was revealed by immunoinfiltration analysis, and many drugs that might target CD36 were identified by the comparative toxicological genomics database (CTD). In summary, through pancancer analysis, we found and verified for the first time that CD36 may play a role in the detection of lung squamous cell carcinoma. In addition, it has high specificity and sensitivity in detecting cancer. Therefore, CD36 can be used as an auxiliary index for early tumour diagnosis and a prognostic marker for lung squamous cell carcinoma.

Application of Novel Transcription Factor Machine Learning Model and Targeted Drug Combination Therapy Strategy in Triple Negative Breast Cancer.

Transcription factors (TFs) have been shown to play a key role in the occurrence and development of tumors, including triple-negative breast cancer (TNBC), with a worse prognosis. Machine learning is widely used for establishing prediction models and screening key tumor drivers. Current studies lack TF integration in TNBC, so targeted research on TF prognostic models and targeted drugs is beneficial to improve clinical translational application. The purpose of this study was to use the Least Absolute Shrinkage and Selection Operator to build a prognostic TFs model after cohort normalization based on housekeeping gene expression levels. Potential targeted drugs were then screened on the basis of molecular docking, and a multi-drug combination strategy was used for both in vivo and in vitro experimental studies. The machine learning model of TFs built by E2F8, FOXM1, and MYBL2 has broad applicability, with an AUC value of up to 0.877 at one year. As a high-risk clinical factor, its abnormal disorder may lead to upregulation of the activity of pathways related to cell proliferation. This model can also be used to predict the adverse effects of immunotherapy in patients with TNBC. Molecular docking was used to screen three drugs that target TFs: Trichostatin A (TSA), Doxorubicin (DOX), and Calcitriol. In vitro and in vivo experiments showed that TSA + DOX was able to effectively reduce DOX dosage, and TSA + DOX + Calcitriol may be able to effectively reduce the toxic side effects of DOX on the heart. In conclusion, the machine learning model based on three TFs provides new biomarkers for clinical and prognostic diagnosis of TNBC, and the combination targeted drug strategy offers a novel research perspective for TNBC treatment.