Enhancing the Structural Stability and Electrochemical Performance of High-Nickel Cathode Materials through Ti Doping with an Exothermic Non-oxide Precursor.

The foreseeable global cobalt (Co) crisis has driven the demand for cathode materials with less Co dependence, where high-nickel layered oxides are a promising solution due to their high energy density and low cost. However, these materials suffer from poor cycling stability and rapid voltage decay due to lattice displacement and nanostrain accumulation. Here, we introduced an exothermic TiN dopant via a scalable coating method to stabilize LiNi0.917Co0.056Mn0.026O2 (NCM92) materials. The exothermic reaction of TiN conversion generates extra heat during the calcination process on the cathode surface, promotes the lithiation process, and tunes the morphology of the cathode material, resulting in compact and conformal smaller particle sizes to provide better particle integration and lithium diffusion coefficient. Moreover, the Ti dopant substitutes the Ni3+ site to generate stronger Ti-O bonding, leading to higher structural stability and extended cycle life. The Ti-doped NCM (NCM92_TiN) shows a remarkable cycling stability of maintaining 80% capacity retention for 400 cycles, while bare NCM92 can only reach 88 cycles. Furthermore, the NCM92_TiN cathodes demonstrate an enhanced rate capability and achieve a discharge capacity of over 168 mAh g-1 at 5C.

Clinical burden and healthcare resource utilization associated with managing transfusion-dependent ß-thalassemia in France.

Objective: This retrospective, real-world claims database analysis aimed to describe the clinical burden and healthcare resource utilization associated with managing transfusion-dependent ß-thalassemia (TDT) in France.Methods: We used the French National Health Data System (système national des données de santé) to identify eligible patients from January 1, 2012, to March 1, 2019. Inclusion criteria were a diagnosis of ß-thalassemia, ≥8 red blood cell (RBC) transfusion episodes per year in ≥2 consecutive years following the diagnosis, and ≥1 year of follow-up data. Patients were excluded if their medical records showed evidence of sickle cell disease, α-thalassemia, hereditary persistence of fetal hemoglobin, or hematopoietic stem cell transplant. Clinical complications, mortality, treatment use, and healthcare resource utilization were evaluated in the follow-up period.Results: Overall, 331 eligible patients with TDT were identified. The mean age was 26.1 (standard deviation [SD]: 18.0) years, and 50.5% were male. Common clinical complications were endocrine (26.0%), hepatobiliary (22.7%), and cardiopulmonary (18.7%). Fifteen (4.5%) patients died during follow-up, with a mortality rate of 1.16 deaths per 100 person-years (mean age of death: 52.5 years [SD: 22]). Patients had a mean of 13.5 (SD: 5.2) RBC transfusion episodes and 11.2 (SD: 5.3) iron chelation therapy treatments per patient per year. healthcare resource utilization was substantial, with a mean of 14.8 inpatient hospitalizations (including 13.8 mean inpatient day cases) and 16.9 outpatient prescriptions per patient per year.Conclusions: Patients with TDT in France experience significant clinical complications, elevated mortality, and substantial healthcare resource utilization driven by frequent RBC transfusion episodes and inpatient hospitalizations. These results reinforce the need for disease-modifying therapies for this patient population.

A Simplified GBR Treatment and Evaluation of Posterior Seibert Class I Ridge Defects via Bio-collagen and Platelet-Rich Fibrin: A Retrospective Study.

BACKGROUND: Classical guided bone regeneration (GBR) treatments can achieve favorable clinical results for ridge defects. However, extensive bone augmentation in the non-esthetic area in the posterior region for minor ridge defects is unnecessary. Therefore, this study used a collagen and Platelet-rich fibrin (PRF) mixture for bone augmentation on minor posterior ridge defects and evaluated the effects. METHODS: 22 Seibert Class I ridge defects were treated with BC and covered with a PRF membrane (simplified guided bone regeneration, simplified GBR) and other 22 were treated with Bio-Oss and covered with Bio-Gide (classical GBR). Cone-beam computed tomography imaging was conducted 6 months post-surgery to compare the ridge's horizontal width (HW) and buccal ridge's horizontal width to assess the osteogenic effect. In addition, the buccal ridge contour morphology was studied and classified. RESULTS: The buccal ridge contour of simplified GBR was Type A in 14 cases, Type B in 7 cases, and Type C in 1 case and it of classical GBR was Type A in 11 cases, Type B in 8 cases, and Type C in 3 cases. The mean HW significantly increased by 1.50 mm of simplified GBR treatment, while it increased by 1.83 mm in classical GBR treatment. CONCLUSION: The combined use of BC and PRF had a significant effect on bone augmentation and this treatment exhibited promising clinical results for correcting posterior Seibert Class I ridge defects. The morphological classification of the reconstructive effect in this study can be utilized in future clinical work.

Developing a nomogram based on SEER database for predicting prognosis in choroid plexus tumors.

Choroid plexus tumors (CPT) are rare and highly vascularized neoplasms that have three histologically confirmed diagnoses, including choroid plexus papilloma, atypical choroid plexus papilloma, and choroid plexus carcinoma (CPC). This study aimed to determine the epidemiology and survival of patients with CPTs and develop a nomogram to quantify the prognosis of the patients with CPT. Data of 808 patients who were diagnosed as CPT between 2000 and 2020 was obtained from the surveillance, epidemiology, and end results database. Descriptive analysis was used to assess the distribution and tumor-related characteristics of the patients with CPT. Independent prognostic factors for patients with CPT were identified by univariate and multivariate Cox regression analysis. The nomogram was established and evaluated by receiver operating characteristic curve, and decision curve analysis (DCA), calibration curves. The independent prognostic factors for patients with CPT are age, tumor size, surgery, chemotherapy, tumor number, pathologies, and race. For the prognostic nomogram, the area under the curve (AUC) of 60-, 120-, and 180-months were 0.855, 0.869 and 0.857 in the training set and 0.836, 0.864 and 0.922 in the test set. The DCA and calibration curve indicated the good performance of the nomogram. Patients with CPTs can be diagnosed at any age. Among the three histopathological tumors, patients with CPC had the worst prognosis. The nomogram was established to predict the prognosis of patients with CPT, which had satisfactory accuracy, and clinical utility may benefit for clinical decision-making.

Surface-Enhanced Raman Spectroscopy-Based Detection of EMT-Related Targets in Endometrial Cancer: Potential for Diagnosis and Prognostic Prediction.

Epithelial-mesenchymal transformation (EMT) is one of the important mechanisms of malignancy in endometrial cancer, and detection of EMT targets is a key challenge to explore the mechanism of endometrial carcinoma (EC) malignancy and discover novel therapeutic targets. This study attempts to use surface-enhanced Raman spectroscopy (SERS), a highly sensitive, ultrafast, and highly specific analytical technology, to rapidly detect microRNA-200a-3p and ZEB1 in endometrial cancer cell lines. The silver nanoparticles were decorated with iodine and calcium ions, can capture the SERS fingerprints of microRNA-200a-3p and ZEB1 protein, and effectively avoid the interference of impurity signals. At the same time, the method has high sensitivity for the detection of the above EMT targets, and the lowest detection limits for microRNA-200a-3p and ZEB1 are 4.5 pmol/mL and 10 ng/mL, respectively. At the lowest detection concentration, the method still has high stability. In addition, principal component analysis can not only identify microRNA-200a-3p and ZEB1 protein from a variety of EMT-associated microRNA and proteins but also identify them in the total RNA and total protein of endometrial cancer cell lines and normal endometrial epithelial cell lines. This study modified silver nanoparticles with iodine and calcium ions and for the first time captured the fingerprints of EMT-related targets microRNA-200a-3p and ZEB1 at the same time without label, and the method has high sensitivity and stability. This SERS-based method has immense potential for elucidating the molecular mechanisms of EMT-related EC, as well as identifying biomarkers for malignant degree and prognosis prediction.

JAK/STAT3 signaling in cardiac fibrosis: a promising therapeutic target.

Cardiac fibrosis is a serious health problem because it is a common pathological change in almost all forms of cardiovascular diseases. Cardiac fibrosis is characterized by the transdifferentiation of cardiac fibroblasts (CFs) into cardiac myofibroblasts and the excessive deposition of extracellular matrix (ECM) components produced by activated myofibroblasts, which leads to fibrotic scar formation and subsequent cardiac dysfunction. However, there are currently few effective therapeutic strategies protecting against fibrogenesis. This lack is largely because the molecular mechanisms of cardiac fibrosis remain unclear despite extensive research. The Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling cascade is an extensively present intracellular signal transduction pathway and can regulate a wide range of biological processes, including cell proliferation, migration, differentiation, apoptosis, and immune response. Various upstream mediators such as cytokines, growth factors and hormones can initiate signal transmission via this pathway and play corresponding regulatory roles. STAT3 is a crucial player of the JAK/STAT pathway and its activation is related to inflammation, malignant tumors and autoimmune illnesses. Recently, the JAK/STAT3 signaling has been in the spotlight for its role in the occurrence and development of cardiac fibrosis and its activation can promote the proliferation and activation of CFs and the production of ECM proteins, thus leading to cardiac fibrosis. In this manuscript, we discuss the structure, transactivation and regulation of the JAK/STAT3 signaling pathway and review recent progress on the role of this pathway in cardiac fibrosis. Moreover, we summarize the current challenges and opportunities of targeting the JAK/STAT3 signaling for the treatment of fibrosis. In summary, the information presented in this article is critical for comprehending the role of the JAK/STAT3 pathway in cardiac fibrosis, and will also contribute to future research aimed at the development of effective anti-fibrotic therapeutic strategies targeting the JAK/STAT3 signaling.

Lysine demethylase 5C inhibits transcription of prefoldin subunit 5 to activate c-Myc signal transduction and colorectal cancer progression.

BACKGROUND: Lysine demethylase 5C (KDM5C) has been implicated in the development of several human cancers. This study aims to investigate the role of KDM5C in the progression of colorectal cancer (CRC) and explore the associated molecular mechanism. METHODS: Bioinformatics tools were employed to predict the target genes of KDM5C in CRC. The expression levels of KDM5C and prefoldin subunit 5 (PFDN5) in CRC cells were determined by RT-qPCR and western blot assays. The interaction between KDM5C, H3K4me3, and PFDN5 was validated by chromatin immunoprecipitation. Expression and prognostic values of KDM5C and PFDN5 in CRC were analyzed in a cohort of 72 patients. The function of KDM5C/PFDN5 in c-Myc signal transduction was analyzed by luciferase assay. Silencing of KDM5C and PFDN5 was induced in CRC cell lines to analyze the cell malignant phenotype in vitro and tumorigenic activity in nude mice. RESULTS: KDM5C exhibited high expression, while PFDN5 displayed low expression in CRC cells and clinical CRC samples. High KDM5C levels correlated with poor survival and unfavorable clinical presentation, whereas elevated PFDN5 correlated with improved patient outcomes. KDM5C mediated demethylation of H3K4me3 on the PFDN5 promoter, suppressing its transcription and thereby enhancing the transcriptional activity of c-Myc. KDM5C knockdown in CRC cells suppressed cell proliferation, migration and invasion, epithelial-mesenchymal transition, and tumorigenic activity while increasing autophagy and apoptosis rates. However, the malignant behavior of cells was restored by the further silencing of PFDN5. CONCLUSION: This study demonstrates that KDM5C inhibits PFDN5 transcription, thereby activating c-Myc signal transduction and promoting CRC progression.

A nomogram prediction model based on clinicopathological combined radiological features for metachronous liver metastasis of colorectal cancer.

Objective: To establish a nomogram prediction model (based on clinicopathological and radiological features) for the development of metachronous liver metastasis (MLM) in patients with colorectal cancer (CRC). Methods: This retrospective study included patients with CRC who underwent surgery at Changshu No.1 People's Hospital and the Second Affiliated Hospital of Soochow University between January 2016 and December 2018. The clinical, pathological, and radiological features of each patient were investigated. Risk factors for MLM were identified by univariable and multivariable analyses. The predictive nomogram for MLM development was constructed. The predictive performance of the nomogram was estimated by the receiver operating characteristics curve, calibration curve, and decision curve analysis. Results: This study included 161 patients with CRC [median age: 66 (range, 33-87) years]. Fifty-nine developed MLM after a median of 12 (range, 2-52) months after surgery. The multivariable logistic regression analysis showed that age >66 years (OR=3.471, 95% CI: 1.272-9.473, P=0.015), N2 stage (OR=6.534, 95% CI: 1.456-29.317, P=0.014), positive vascular invasion (OR=2.995, 95% CI: 1.132-7.926, P=0.027), positive tumor deposit (OR=4.451, 95% CI: 1.153-17.179, P=0.030), and linear (OR=6.774, 95% CI: 1.306-35.135, P=0.023) and nodal pericolic fat infiltration patterns (OR=8.762, 95% CI: 1.521-50.457, P=0.015) were independently associated with MLM. These five factors were used to create a nomogram. The area under the receiver operating characteristics curve of the nomogram was 0.866 (95% CI: 0.803-0.914), indicating favorable prediction performance. The calibration curve of the nomogram showed a satisfactory agreement between the predicted and actual probabilities. Conclusions: A nomogram prediction model based on five clinicopathological and radiological features might have favorable prediction performance for MLM in patients who underwent surgery for CRC. Hence, the present study proposes a nomogram that can easily be used to predict MLM after CRC surgery based on readily available features.

The complex role of IL-10 in malignant ascites: a review.

The emergence of malignant ascites (MA) indicates poor prognoses in patients with ovarian, gastrointestinal, breast, and pancreatic cancer. Interleukin-10 (IL-10) is a pleiotropic cytokine with immunoregulatory effects in tumor microenvironment. The level of IL-10 in MA varied across cancer types and patients, influencing cancer progression and outcomes. Originating from various immune and cancer cells, IL-10 contributes to complex signaling pathways in MA. Systemic IL-10 administration, although the evidence of its efficacy on MA is limited, still emerges as a promising therapeutic strategy because it can increase CD8+ T cells cytotoxicity and invigorate exhausted CD8+ tumor infiltration lymphocytes (TILs) directly. IL-10 signaling blockade also demonstrates great potential when combined with other immunotherapies in MA treatment. We reviewed the levels, origins, and functions of IL-10 in malignant ascites and overviewed the current IL-10 signaling targeting therapies, aiming to provide insights for MA treatment.

Molecular mechanism of NR4A1/MDM2/P53 signaling pathway regulation inducing ferroptosis in renal tubular epithelial cells involved in the progression of renal ischemia-reperfusion injury.

Revealing the possible molecular mechanism of the NR4A1 (nuclear receptor subfamily 4 group A member 1)-MDM2 (MDM2 proto-oncogene)-P53 (tumor protein p53) signaling pathway that induces ferroptosis in renal tubular epithelial cells. Renal ischemia-reperfusion injury (RIRI) -related datasets were obtained from the GEO database. Differentially expressed genes in RIRI were analyzed using R language, intersected with RIRI-related genes in the GeneCard database, and retrieved from the literature to finally obtain differential ferroptosis-related genes. An in vitro cell model of RIRI was constructed using mouse renal cortical proximal tubule epithelial cells (mRTEC cells) treated with hypoxia-reoxygenation (H/R). Bioinformatic analysis showed that NR4A1 may be involved in RIRI through the induction of ferroptosis; in addition, we predicted through online databases that the downstream target gene of NR4A1, MDM2, could be targeted and regulated by ChIP and dual luciferase assays, and that NR4A1 could prevent MDM2 by inhibiting it, and NR4A1 was able to promote ferroptosis by inhibiting the ubiquitinated degradation of P53. NR4A1 expression was significantly increased in mRTEC cells in the hypoxia/reoxygenation model, and the expression of ferroptosis-related genes was increased in vitro experiments. NR4A1 reduces the ubiquitinated degradation of P53 by targeting the inhibition of MDM2 expression, thereby inducing ferroptosis and ultimately exacerbating RIRI by affecting the oxidative respiration process in mitochondria and producing oxidized lipids. This study presents a novel therapeutic approach for the clinical treatment of renal ischemia-reperfusion injury by developing drugs that inhibit NR4A1 to alleviate kidney damage caused by renal ischemia-reperfusion.

miR-9 promotes canine endothelial-like cell migration by targeting COL15A1.

BACKGROUND: Endothelial cell migration is the initial stage of angiogenesis. In previous studies, miR-9 has been found to regulate angiogenesis and cell migration in human medicine. OBJECTIVES: This study aimed to reveal the regulatory effect of miR-9 on canine endothelial cell migration. METHODS: Embryonic canine ventricle myocardium tissues were collected and induced to differentiate into endothelial-like cells (ELCs). A transwell and invasion assay were used to evaluate the impact of miR-9 on the migration capacity of ELCs, after which a luciferase reporter assay, western blotting, RNA sequencing and reverse transcription-polymerase chain reaction were conducted to explore the regulatory mechanism. RESULTS: Our results showed that we successfully induced the primary cells derived from canine cardiac embryo tissues into ELCs. MiR-9 also promoted the migration and invasion of canine ELCs, and inhibited the expression of collagen XV, an angiogenic inhibitor, at the translational level by targeting the 3' untranslated region of COL15A1 gene. Furthermore, RNA sequencing showed that overexpression of miR-9 impacted several signalling pathways and eight genes involved in angiogenesis and cell migration in canine ELCs. CONCLUSIONS: These findings suggest that miR-9 enhances the migration of canine ELCs and may serve as a potential diagnostic and therapeutic target for canine diseases involved in endothelial cells migration and angiogenesis, but more further studies are needed.

Subspecialty Faculty in Obstetrics and Gynecology: Distribution, Demographics, and Implications for Training and Clinical Practice.

OBJECTIVE: The objective of this study was to quantify the subspecialist workforce involved in the clinical education of Obstetrics and Gynecology (OBGYN) residents and to provide an overview of the subspecialist faculty workforce geographic distribution and demographics. METHODS: This cross-sectional, observational study used public data collected from July 1, 2022, through August 31, 2022. A list of Obstetrics and Gynecology residency programs, their sponsoring institutions/locations, and affiliated locations was compiled from the American Medical Association's Fellowship and Residency Electronic Interactive Database. Faculty subspecialists' names were collected by manually searching each program's website. Demographics were collected from the National Plan and Provider Enumeration System. Subspecialty faculty who had completed an Obstetrics and Gynecology residency, were fellowship trained, and/or had board certification in the subspecialty were included in the study. RESULTS: A total of 4,659 subspecialist faculty were identified from 278 residency programs, representing 81.5% of the total subspecialist workforce in Obstetrics and Gynecology (n=5,716). Of the subspecialists identified, 2,838 were faculty at sponsoring institutions, representing 49.7% of the entire subspecialist workforce; the remainder worked with residents at affiliate locations. Our results showed 59.9% of subspecialists were female and 40.1% were male; 97.0% were allopathic subspecialists. The largest proportion of subspecialists were in the age group of 40-49 years (36.6%). Subspecialists were present in 45 states, with the exception of Alaska, Idaho, Montana, North Dakota, South Dakota, and Wyoming. CONCLUSION: Most of the Obstetrics and Gynecology subspecialty workforce is involved in the clinical education of OBGYN residents, with half of the workforce on faculty at the residency program sponsor site. The subspecialty faculty workforce is primarily female, has an allopathic degree, is mid-career, and is geographically diverse.

Molecular Mechanism Analysis of Protopine Against Triple Negative Breast Cancer.

In this study, we utilized a pharmacological network and bioinformatics approach to investigate the molecular mechanism underlying the resistance of Protopine (PRO) against Triple Negative Breast Cancer (TNBC). To uncover the underlying mechanism of PRO, we employed network pharmacology analysis. We collected and enriched targets using various databases such as TCMSP, SwissTargetPrediction, PubChem, Genecards, and DAVID. Furthermore, we constructed Potential targets network and components-disease-core targets network by STRING 11.5 and Cytoscape 3.7.1 to investigate the association of targets of PRO with disease targets of TNBC. The results of the network pharmacology approach indicated that PRO may play a key role in protein phosphorylation, protein autophosphorylation, Progesterone-mediated oocyte maturation signaling pathway, PI3K-Akt signaling pathway, and acting as targets such as PRKACA, JAK2, CDK2, LRRK2, CCNE1, KDR, JAK1. Our findings suggest that PRO exerts its effects against TNBC through multi-channel and multi-target mechanisms. Therefore, this study provides a basis for further research on the mechanism of action of PRO.

Improved effects of the b-value for 2000 sec/mm2 DWI on an accurate qualitative and quantitative assessment of rectal cancer.

BACKGROUND AND STUDY OBJECTIVES: A higher b-value Diffusion-weighted imaging (DWI) would improve the contrast between cancerous and noncancerous tissue. Apparent diffusion coefficient (ADC)-histogram analysis is a method that can provide statistical data and quantitative information on tumor heterogeneity. This study aimed to compare two high b-values (1000 and 2000 sec/mm2) DWI in tumor detection and diagnostic performance in identifying early-stage tumor rectal cancer. PATIENTS AND METHODS: This blinded and blinded retrospective study involved 56 patients with rectal cancer and 45 patients. Two radiologists evaluated the qualitative detection parameters and quantitative parameters of the ADC evaluated histogram and compared them between two DWI sequences (b-value for 1000 sec/mm2 and 2000 sec/mm2). The characteristic curves were used to assess diagnostic administration for the ADC histogram in discriminating early-stage tumors. RESULTS: The b-value for 2000 sec/mm2 DWI significantly improved AUCs, sensitivity, specificity, and precision and decreased false-positive rate for detection compared to the b-value for 1000 sec/mm2 (p < 0.05). The mean and fifth percentile ADC value for stage I using the b-value for 1000 sec/mm2 DWI was significantly higher than stage ≥ II (p = 0.036II and 0.016 respectively), as the well as fifth, 10th, mean ADC of the fifth, 10th, and 25th ADC percentile at b-value for 2000 sec/mm2 (p = 0.031, 0.014, 0.035 and 0.025 respectively). The AUCs of the fifth percentile ADC at b-value for 2000 sec/mm2 DWI in both readers in differentiating the stage Ⅰ tumor were the highest (0.732 and 0.751). CONCLUSION: The b-value for 2000 sec/mm2 DWI could improve the accurate detection of rectal cancer. The fifth percentile ADC at b-value for 2000 sec/mm2 sec/mm2 DWI was more useful for discriminating early stage than the b-value for 1000 sec/mm2 DWI.

Identification of ROCK1 as a novel biomarker for postmenopausal osteoporosis and pan-cancer analysis.

BACKGROUND: Postmenopausal osteoporosis (PMOP) is a prevalent bone disorder with significant global impact. The elevated risk of osteoporotic fracture in elderly women poses a substantial burden on individuals and society. Unfortunately, the current lack of dependable diagnostic markers and precise therapeutic targets for PMOP remains a major challenge. METHODS: PMOP-related datasets GSE7429, GSE56814, GSE56815, and GSE147287, were downloaded from the GEO database. The DEGs were identified by "limma" packages. WGCNA and Machine Learning were used to choose key module genes highly related to PMOP. GSEA, DO, GO, and KEGG enrichment analysis was performed on all DEGs and the selected key hub genes. The PPI network was constructed through the GeneMANIA database. ROC curves and AUC values validated the diagnostic values of the hub genes in both training and validation datasets. xCell immune infiltration and single-cell analysis identified the hub genes' function on immune reaction in PMOP. Pan-cancer analysis revealed the role of the hub genes in cancers. RESULTS: A total of 1278 DEGs were identified between PMOP patients and the healthy controls. The purple module and cyan module were selected as the key modules and 112 common genes were selected after combining the DEGs and module genes. Five Machine Learning algorithms screened three hub genes (KCNJ2, HIPK1, and ROCK1), and a PPI network was constructed for the hub genes. ROC curves validate the diagnostic values of ROCK1 in both the training (AUC = 0.73) and validation datasets of PMOP (AUC = 0.81). GSEA was performed for the low-ROCK1 patients, and the top enriched field included protein binding and immune reaction. DCs and NKT cells were highly expressed in PMOP. Pan-cancer analysis showed a correlation between low ROCK1 expression and SKCM as well as renal tumors (KIRP, KICH, and KIRC). CONCLUSIONS: ROCK1 was significantly associated with the pathogenesis and immune infiltration of PMOP, and influenced cancer development, progression, and prognosis, which provided a potential therapy target for PMOP and tumors. However, further laboratory and clinical evidence is required before the clinical application of ROCK1 as a therapeutic target.

Novel Molecular Subtyping Scheme Based on In Silico Analysis of Cuproptosis Regulator Gene Patterns Optimizes Survival Prediction and Treatment of Hepatocellular Carcinoma.

BACKGROUND: The liver plays an important role in maintaining copper homeostasis. Copper ion accumulation was elevated in HCC tissue samples. Copper homeostasis is implicated in cancer cell proliferation and angiogenesis. The potential of copper homeostasis as a new theranostic biomarker for molecular imaging and the targeted therapy of HCC has been demonstrated. Recent studies have reported a novel copper-dependent nonapoptotic form of cell death called cuproptosis, strikingly different from other known forms of cell death. The correlation between cuproptosis and hepatocellular carcinoma (HCC) is not fully understood. MATERIALS AND METHODS: The transcriptomic data of patients with HCC were retrieved from the Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC) and were used as a discovery cohort to construct the prognosis model. The gene expression data of patients with HCC retrieved from the International Cancer Genome Consortium (ICGC) and Gene Expression Omnibus (GEO) databases were used as the validation cohort. The Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to construct the prognosis model. A principal component analysis (PCA) was used to evaluate the overall characteristics of cuproptosis regulator genes and obtain the PC1 and PC2 scores. Unsupervised clustering was performed using the ConsensusClusterPlus R package to identify the molecular subtypes of HCC. Cox regression analysis was performed to identify cuproptosis regulator genes that could predict the prognosis of patients with HCC. The receiver operating characteristics curve and Kaplan-Meier survival analysis were used to understand the role of hub genes in predicting the diagnosis and prognosis of patients, as well as the prognosis risk model. A weighted gene co-expression network analysis (WGCNA) was used for screening the cuproptosis subtype-related hub genes. The functional enrichment analysis was performed using Metascape. The 'glmnet' R package was used to perform the LASSO regression analysis, and the randomForest algorithm was performed using the 'randomForest' R package. The 'pRRophetic' R package was used to estimate the anticancer drug sensitivity based on the data retrieved from the Genomics of Drug Sensitivity in Cancer database. The nomogram was constructed using the 'rms' R package. Pearson's correlation analysis was used to analyze the correlations. RESULTS: We constructed a six-gene signature prognosis model and a nomogram to predict the prognosis of patients with HCC. The Kaplan-Meier survival analysis revealed that patients with a high-risk score, which was predicted by the six-gene signature model, had poor prognoses (log-rank test p < 0.001; HR = 1.83). The patients with HCC were grouped into three distinct cuproptosis subtypes (Cu-clusters A, B, and C) based on the expression pattern of cuproptosis regulator genes. The patients in Cu-cluster B had poor prognosis (log-rank test p < 0.001), high genomic instability, and were not sensitive to conventional chemotherapeutic treatment compared to the patients in the other subtypes. Cancer cells in Cu-cluster B exhibited a higher degree of the senescence-associated secretory phenotype (SASP), a marker of cellular senescence. Three representative genes, CDCA8, MCM6, and NCAPG2, were identified in patients in Cu-cluster B using WGCNA and the "randomForest" algorithm. A nomogram was constructed to screen patients in the Cu-cluster B subtype based on three genes: CDCA8, MCM6, and NCAPG2. CONCLUSION: Publicly available databases and various bioinformatics tools were used to study the heterogeneity of cuproptosis in patients with HCC. Three HCC subtypes were identified, with differences in the survival outcomes, genomic instability, senescence environment, and response to anticancer drugs. Further, three cuproptosis-related genes were identified, which could be used to design personalized therapeutic strategies for HCC.

Endothelial Cell-Derived Lactate Triggers Bone Mesenchymal Stem Cell Histone Lactylation to Attenuate Osteoporosis.

Blood vessels play a role in osteogenesis and osteoporosis; however, the role of vascular metabolism in these processes remains unclear. The present study finds that ovariectomized mice exhibit reduced blood vessel density in the bone and reduced expression of the endothelial glycolytic regulator pyruvate kinase M2 (PKM2). Endothelial cell (EC)-specific deletion of Pkm2 impairs osteogenesis and worsens osteoporosis in mice. This is attributed to the impaired ability of bone mesenchymal stem cells (BMSCs) to differentiate into osteoblasts. Mechanistically, EC-specific deletion of Pkm2 reduces serum lactate levels secreted by ECs, which affect histone lactylation in BMSCs. Using joint CUT&Tag and RNA sequencing analyses, collagen type I alpha 2 chain (COL1A2), cartilage oligomeric matrix protein (COMP), ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1), and transcription factor 7 like 2 (TCF7L2) as osteogenic genes regulated by histone H3K18la lactylation are identified. PKM2 overexpression in ECs, lactate addition, and exercise restore the phenotype of endothelial PKM2-deficient mice. Furthermore, serum metabolomics indicate that patients with osteoporosis have relatively low lactate levels. Additionally, histone lactylation and related osteogenic genes of BMSCs are downregulated in patients with osteoporosis. In conclusion, glycolysis in ECs fuels BMSC differentiation into osteoblasts through histone lactylation, and exercise partially ameliorates osteoporosis by increasing serum lactate levels.

Restoration of energy homeostasis under oxidative stress: Duo synergistic AMPK pathways regulating arginine kinases.

Rapid depletion of cellular ATP can occur by oxidative stress induced by reactive oxygen species (ROS). Maintaining energy homeostasis requires the key molecular components AMP-activated protein kinase (AMPK) and arginine kinase (AK), an invertebrate orthologue of the mammalian creatine kinase (CK). Here, we deciphered two independent and synergistic pathways of AMPK acting on AK by using the beetle Tribolium castaneum as a model system. First, AMPK acts on transcriptional factor forkhead box O (FOXO) leading to phosphorylation and nuclear translocation of the FOXO. The phospho-FOXO directly promotes the expression of AK upon oxidative stress. Concomitantly, AMPK directly phosphorylates the AK to switch the direction of enzymatic catalysis for rapid production of ATP from the phosphoarginine-arginine pool. Further in vitro assays revealed that Sf9 cells expressing phospho-deficient AK mutants displayed the lower ATP/ADP ratio and cell viability under paraquat-induced oxidative stress conditions when compared with Sf9 cells expressing wild-type AKs. Additionally, the AMPK-FOXO-CK pathway is also involved in the restoration of ATP homeostasis under oxidative stress in mammalian HEK293 cells. Overall, we provide evidence that two distinct AMPK-AK pathways, transcriptional and post-translational regulations, are coherent responders to acute oxidative stresses and distinguished from classical AMPK-mediated long-term metabolic adaptations to energy challenge.

Label-free detection of virus based on surface-enhanced Raman scattering.

Due to the background interference from biological samples, detecting viruses using surface-enhanced Raman scattering (SERS) in clinical samples is challenging. This study is based on SERS by reducing sodium borohydride and aggregating silver nanoparticles to develop suitable virus detection "hot spot." The monkeypox virus and human papillomavirus fingerprints were quickly obtained, tested, and identified in serum and artificial vaginal discharge, respectively, by combining the principal component analysis method. Therefore, these viruses were successfully identified in the biological background. In addition, the lowest detection limit was 100 copies/mL showing good reproducibility and signal-to-noise ratio. The concentration-dependent curve of the monkeypox virus had a good linear relationship. This method helps solve the SERS signal interference problem in complex biological samples, with low detection limits and high selectivity in virus characterization and quantitative analysis. Therefore, this method has a reasonable prospect of clinical application.

Open Payments Data Analysis of General and Fellowship-trained Surgeons Receiving Industry General Payments From 2016 to 2020: Payment Disparities and COVID-19 Pandemic Impact.

OBJECTIVE: To characterize industry nonresearch payments made to general and fellowship-trained surgeons between 2016 and 2020. BACKGROUND: The Centers for Medicare & Medicaid Services Open Payments Data (OPD) reports industry payments made to physicians related to drugs and medical devices. General payments are those not associated with research. METHODS: OPD data were queried for general and fellowship-trained surgeons who received general payments from 2016 to 2020. Payments' nature, amount, company, covered product, and location were collected. Surgeons' demographics, subspecialty, and leadership roles in hospitals, societies, and editorial boards were evaluated. RESULTS: From 2016 to 2020, 44,700 general and fellowship-trained surgeons were paid $535,425,543 in 1,440,850 general payments. The median payment was $29.18. The most frequent payments were for food and beverage (76.6%) and travel and lodging (15.6%); however, the highest dollar payments were for consulting fees ($93,128,401; 17.4%), education ($88,404,531; 16.5%), royalty or license ($87,471,238; 16.3%), and travel and lodging ($66,333,149; 12.4%). Five companies made half of all payments ($265,654,522; 49.6%): Intuitive Surgical ($128,517,411; 24%), Boston Scientific ($48,094,570; 9%), Edwards Lifesciences ($41,835,544, 7.8%), Medtronic Vascular ($33,607,136; 6.3%), and W. L. Gore & Associates ($16,626,371; 3.1%). Medical devices comprised 74.7% of payments ($399,897,217), followed by drugs and biologicals ($33,945,300; 6.3%). Texas, California, Florida, New York, and Pennsylvania received the most payments; however, the top dollar payments were in California ($65,702,579; 12.3%), Michigan ($52,990,904, 9.9%), Texas ($39,362,131; 7.4%), Maryland ($37,611,959; 7%), and Florida ($33,417,093, 6.2%). General surgery received the highest total payments ($245,031,174; 45.8%), followed by thoracic surgery ($167,806,514; 31.3%) and vascular surgery ($60,781,266; 11.4%). A total of 10,361 surgeons were paid >$5000, of which 1614 were women (15.6%); in this group, men received higher payments than women (means, $53,446 vs $22,571; P <0.001) and thoracic surgeons received highest payments (mean, $76,381; NS, P =0.14). A total of 120 surgeons were paid >$500,000 ($203,011,672; 38%)-5 non-Hispanic White (NHW) women (4.2%) and 82 NHW (68.3%), 24 Asian (20%), 7 Hispanic (5.8%), and 2 Black (1.7%) men; in this group, men received higher payments than women (means, $1,735,570 vs $684,224), and NHW men received payments double those of other men (means, $2,049,554 vs $955,368; NS, P =0.087). Among these 120 highly paid surgeons (>$500,000), 55 held hospital and departmental leadership roles, 30 were leaders in surgical societies, 27 authored clinical guidelines, and 16 served on journal editorial boards. During COVID-19, 2020 experienced half the number of payments than the preceding 3 years. CONCLUSIONS: General and fellowship-trained surgeons received substantial industry nonresearch payments. The highest-paid recipients were men. Further work is warranted in assessing how race, gender, and leadership roles influence the nature of industry payments and surgical practice. A significant decline in payments was observed early during the COVID-19 pandemic.