Bulk integrated single-cell-spatial transcriptomics reveals the impact of preoperative chemotherapy on cancer-associated fibroblasts and tumor cells in colorectal cancer, and construction of related predictive models using machine learning.

BACKGROUND: Preoperative chemotherapy (PC) is an important component of Colorectal cancer (CRC) treatment, but its effects on the biological functions of fibroblasts and epithelial cells in CRC are unclear. METHODS: This study utilized bulk, single-cell, and spatial transcriptomic sequencing data from 22 independent cohorts of CRC. Through bioinformatics analysis and in vitro experiments, the research investigated the impact of PC on fibroblast and epithelial cells in CRC. Subpopulations associated with PC and CRC prognosis were identified, and a predictive model was constructed using machine learning. RESULTS: PC significantly attenuated the pathways related to tumor progression in fibroblasts and epithelial cells. NOTCH3 + Fibroblast (NOTCH3 + Fib), TNNT1 + Epithelial (TNNT1 + Epi), and HSPA1A + Epithelial (HSPA1A + Epi) subpopulations were identified in the adjacent spatial region and were associated with poor prognosis in CRC. PC effectively diminished the presence of these subpopulations, concurrently inhibiting pathway activity and intercellular crosstalk. A risk signature model, named the Preoperative Chemotherapy Risk Signature Model (PCRSM), was constructed using machine learning. PCRSM emerged as an independent prognostic indicator for CRC, impacting both overall survival (OS) and recurrence-free survival (RFS), surpassing the performance of 89 previously published CRC risk signatures. Additionally, patients with a high PCRSM risk score showed sensitivity to fluorouracil-based adjuvant chemotherapy (FOLFOX) but resistance to single chemotherapy drugs (such as Bevacizumab and Oxaliplatin). Furthermore, this study predicted that patients with high PCRSM were resistant to anti-PD1therapy. CONCLUSION: In conclusion, this study identified three cell subpopulations (NOTCH3 + Fib, TNNT1 + Epi, and HSPA1A + Epi) associated with PC, which can be targeted to improve the prognosis of CRC patients. The PCRSM model shows promise in enhancing the survival and treatment of CRC patients.

Study on the relationship between KCNQ1 gene-environment interaction and abnormal glucose metabolism in the elderly in a county of Hechi City, Guangxi.

This study aimed to understand the potassium voltage-gated channel KQT-like subfamily, member 1 gene polymorphism in a rural elderly population in a county in Guangxi and to explore the possible relationship between its gene polymorphism and blood sugar. The 6 SNP loci of blood DNA samples from 4355 individuals were typed using the imLDRTM Multiple SNP Typing Kit from Shanghai Tianhao Biotechnology Co. The data combining epidemiological information (baseline questionnaire and physical examination results) and genotyping results were statistically analyzed using GMDR0.9 software and SPSS22.0 software. A total of 4355 elderly people aged 60 years and above were surveyed in this survey, and the total abnormal rate of glucose metabolism was 16·11 % (699/4355). Among them, male:female ratio was 1:1·48; the age group of 60-69 years old accounted for the highest proportion, with 2337 people, accounting for 53·66 % (2337/4355). The results of multivariate analysis showed that usually not doing farm work (OR 1·26; 95 % CI 1·06, 1·50), TAG ≥ 1·70 mmol/l (OR 1·19; 95 % CI 1·11, 1·27), hyperuricaemia (OR 1·034; 95 % CI 1·01, 1·66) and BMI ≥ 24 kg/m2 (OR 1·06; 95 % CI 1·03, 1·09) may be risk factors for abnormal glucose metabolism. Among all participants, rs151290 locus AA genotype, A allele carriers (AA+AC) were 0.70 times more likely (0.54 to 0.91) and 0.82 times more likely (0.70 to 0.97) to develop abnormal glucose metabolism than CC genotype carriers, respectively. Carriers of the T allele at the rs2237892 locus (CT+TT) were 0.85 times more likely to have abnormal glucose metabolism than carriers of the CC genotype (0.72 to 0.99); rs2237897 locus CT gene. The possibility of abnormal glucose metabolism in the carriers of CC genotype, TT genotype and T allele (CT + TT) is 0·79 times (0·67-0·94), 0·74 times (0·55-0·99) and 0·78 times (0·66, 0·92). The results of multifactor dimensionality reduction showed that the optimal interaction model was a three-factor model consisting of farm work, TAG and rs2237897. The best model dendrogram found that the interaction between TAG and rs2237897 had the strongest effect on fasting blood glucose in the elderly in rural areas, and they were mutually antagonistic. Environment-gene interaction is an important factor affecting abnormal glucose metabolism in the elderly of a county in Hechi City, Guangxi.

Roles of the tumor microenvironment in the resistance to programmed cell death protein 1 inhibitors in patients with gastric cancer.

Despite the continuous developments and advancements in the treatment of gastric cancer (GC), which is one of the most prevalent types of cancer in China, the overall survival is still poor for most patients with advanced GC. In recent years, with the progress in tumor immunology research, attention has shifted toward immunotherapy as a therapeutic approach for GC. Programmed cell death protein 1 (PD-1) inhibitors, as novel immunosuppressive medications, have been widely utilized in the treatment of GC. However, many patients are still resistant to PD-1 inhibitors and experience recurrence in the advanced stages of PD-1 immunotherapy. To reduce the occurrence of drug resistance and recurrence in GC patients receiving PD-1 immunotherapy, to maximize the clinical activity of immunosuppressive drugs, and to elicit a lasting immune response, it is essential to research the tumor microenvironment mechanisms leading to PD-1 inhibitor resistance in GC patients. This article reviews the progress in studying the factors influencing the resistance to PD-1 inhibitors in the GC tumor microenvironment, aiming to provide insights and a basis for reducing resistance to PD-1 inhibitors for GC patients in the future.

A Comprehensive Nomogram Integrating Phonocardiogram and Echocardiogram Features for the Diagnosis of Heart Failure With Preserved Ejection Fraction.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is associated with high hospitalization and mortality rates, representing a significant healthcare burden. This study aims to utilize various information including echocardiogram and phonocardiogram to construct and validate a nomogram, assisting in clinical decision-making. METHODS: This study analyzed 204 patients (68 HFpEF and 136 non-HFpEF) from the First Affiliated Hospital of Chongqing Medical University. A total of 49 features were integrated and used, including phonocardiogram, echocardiogram features, and clinical parameters. The least absolute shrinkage and selection operator (LASSO) regression was used to select the optimal matching factors, and a stepwise logistic regression was employed to determine independent risk factors and develop a nomogram. Model performance was evaluated by the area under receiver operating characteristic (ROC) curve (AUC), calibration curve, decision curve analysis (DCA), and clinical impact curve (CIC). RESULTS: The nomogram was constructed using five significant indicators, including NT-proBNP (OR = 4.689, p = 0.015), E/e' (OR = 1.219, p = 0.032), LAVI (OR = 1.088, p < 0.01), D/S (OR = 0.014, p < 0.01), and QM1 (OR = 1.058, p < 0.01), and showed a better AUC of 0.945 (95% CI = 0.908-0.982) in the training set and 0.933 (95% CI = 0.873-0.992) in the testing set compared to conventional nomogram without phonocardiogram features. The calibration curve and Hosmer-Lemeshow test demonstrated no statistical significance in the training and testing sets (p = 0.814 and p = 0.736), indicating the nomogram was well-calibrated. The DCA and CIC results confirmed favorable clinical usefulness. CONCLUSION: The nomogram, integrating phonocardiogram and echocardiogram features, enhances HFpEF diagnostic efficiency, offering a valuable tool for clinical decision-making.

A Novel CT-Based Fracture Risk Prediction Model for COPD Patients.

RATIONALE AND OBJECTIVES: The aim of this study was to develop and validate a novel computed tomography (CT)-based fracture risk assessment model (FRCT) specifically tailored for patients suffering from chronic obstructive pulmonary disease (COPD). METHODS: We conducted a retrospective analysis encompassing a cohort of 284 COPD patients, extracting data on demographics, clinical profiles, pulmonary function tests, and CT-based bone quantification metrics. The Boruta feature selection algorithm was employed to identify key variables for model construction, resulting in a user-friendly nomogram. RESULTS: Our analysis revealed that 37.32% of the patients suffered fragility fractures post-follow-up. The FRCT model, integrating age, cancellous bone volume, average cancellous bone density, high-density lipoprotein levels, and prior fracture incidence, demonstrated superior predictive accuracy over the conventional fracture risk assessment tool (FRAX), with a C-index of 0.773 in the training group and 0.797 in the validation group. Calibration assessments via the Hosmer-Lemeshow test confirmed the model's excellent fit, and decision curve analysis underscored the FRCT model's substantial positive net benefit. CONCLUSION: The FRCT model, leveraging opportunistic CT screening, offers a highly accurate and personalized approach to fracture risk prediction in COPD patients, surpassing the capabilities of existing tools. This model is poised to become an indispensable asset for clinicians in managing osteoporotic fracture risks within the COPD population.

Factors influencing self-regulated learning ability among Medical undergraduates in China: a cross-sectional study.

BACKGROUND: Self-regulated learning (SRL) is the core purpose of lifelong learning and the precondition for medical staff to continuously adapt to and excel in their current and future positions. Good SRL abilities positively impact the academic performance and clinical skills of medical students. Despite its importance, the factors influencing SRL among medical students in China remain under-explored. This study investigates these factors among Chinese medical undergraduates. METHODS: This cross-sectional survey was conducted among a convenience sample of undergraduate students at all four medical universities in Guangxi, using a questionnaire developed and tailored by Zude Zhu. Responses from 2,179 Chinese medical undergraduate students were included in the analyses. The data were collected using the College Student SRL Questionnaire which consisted of 69 items rated on a 6-point Likert scale, ranging from 1 (very inconsistent) to 6 (very consistent), and scored by calculating the mean and standard deviation. The data were analyzed using the Statistical Package for Social Sciences, version 22.0 (IBM SPSS Corp). RESULTS: Univariate analysis showed that registered residence, specialty, educational system, parental educational background, parenting style, annual household income, parental occupation, grade point average (GPA), engagement in SRL activities, and participation in SRL training were significantly associated with SRL scores (p < 0.05 for all). The results of the multiple linear regression analysis revealed that educational system ("5 + 3"-year) (p < 0.001; 95% Confidence Interval (CI), 9.842 to 15.686), mother's occupation (staff of government agency/institution) (p < 0.001; 95% CI, - 3.798 to - 2.081), GPA (p < 0.001; 95% CI, - 10.009 to - 5.712), engagement in SRL activities (p = 0.001; 95% CI, - 11.903 to - 3.162), and participation in SRL training (p < 0.001; 95% CI, - 15.966 to - 9.972) were positively related to SRL abilities in medical students. CONCLUSIONS: Further studies are necessary to identify additional external (e.g., academic environment, parents' expectations for their children) and internal factors (e.g., student cadres or not, interest in medicine or not, whether there is a clear career planning) affecting SRL abilities. Initiating relevant training early in the college career could enhance SRL capabilities in medical students.

FLAIR: A Phase II, Open Label, Randomized Study of Osimertinib Plus Bevacizumab Versus Osimertinib in Recurrent or Metastatic Treatment-Naïve NSCLC Patients Harboring EGFR 21L858R Mutation.

INTRODUCTION: Osimertinib, the 3rd generation EGFR-TKI, has emerged as standard first-line treatment for patients with advanced EGFR mutated nonsmall cell lung cancer (NSCLC). Patients with exon 21 L858R mutation showed lower efficacy with EGFR-TKIs than those with 19Del mutation, even with osimertinib, it remains an unmet medical need to further improve the efficacy in L858R population. We present the rationale and design for FLAIR (NCT04988607), which will investigate the efficacy and safety of osimertinib plus bevacizumab versus osimertinib monotherapy in treatment-naïve recurrent or metastatic NSCLC patients harboring EGFR exon 21 L858R mutation. MATERIALS AND METHODS: FLAIR is a prospective, multicenter, randomized, open label study, which is initiated by Chinese Thoracic Oncology Group (CTONG2002). Patients age ≥18 years with primary recurrent or metastatic nonsquamous NSCLC who are treatment-naïve with documented EGFR exon 21 L858R mutation is eligible. Patients will be randomized 1:1 to receive osimertinib 80 mg once daily plus bevacizumab 15mg/kg every 3 weeks or osimertinib monotherapy 80 mg once daily until progression or another discontinuation criterion is met. The primary endpoint is investigator-assessed progression free survival (PFS). Secondary endpoints include: overall survival rate at 24 months, time to treatment failure (TTF), overall response rate (ORR), disease control rate (DCR), duration of response (DoR), central nervous system (CNS) PFS, CNS ORR and safety. RESULTS: FLAIR has completed the enrollment, and results are expected in the fourth quarter of 2025 (depending on the actual event rate). CONCLUSIONS: This study will offer better perspectives on the efficacy and safety of osimertinib plus bevacizumab combination therapy in treatment-naïve recurrent or metastatic NSCLC patients harboring EGFR exon 21 L858R mutation, providing valuable guidance for clinical practice.

Mitigative Effect and Mechanism of Caffeic Acid Combined with Umbilical Cord-Mesenchymal Stem Cells on LPS-Induced Mastitis.

Mastitis is an inflammation of the mammary gland tissue that can lead to decreased milk production and altered milk composition, carrying serious implications for the safety of dairy products. Although both caffeic acid (CA) and umbilical cord-mesenchymal stem cells (UC-MSCs) showed potential anti-inflammatory and immunomodulatory properties, little is known about their combined roles in treating mastitis. Here, we report the combined effects and mechanisms of CA and UC-MSCs on lipopolysaccharide (LPS)-induced mastitis. Based on the network pharmacological analysis, the potential relevant genes involved in the alleviating effects of CA on LPS-induced mastitis were inferred. In LPS-treated mammary epithelial cells, CA or/and UC-MSC conditioned medium (UC-MSC-CM) inhibited the phosphorylation of p65, p50, p38, IκB, and MKK3/6 proteins and the expression of downstream inflammatory factors TNF-α, IL-1ß, IL-6, IL-8, and COX-2. Additionally, CA or/and hydrogel-loaded UC-MSCs also suppressed the activation of the above inflammatory pathway, leading to the alleviation of pathological damages in the LPS-induced mouse mastitis model. UC-MSCs exhibited more significant effects than CA, and the combined treatment of both was more effective. Our study sheds light on the synergistic and complementary effects of CA and UC-MSCs in alleviating mastitis, offering clues for understanding the regulation of the p38-MAPK/NF-κB↔TNF-α signal transduction loop in the tumor necrosis factor (TNF) pathway as a potential mechanism. This study provides a theoretical basis for developing a novel antibiotic alternative treatment of mastitis that may contribute to reducing economic losses in animal husbandry and protecting public health safety.

Emerging role of liver-bone axis in osteoporosis.

Background: Increasing attention to liver-bone crosstalk has spurred interest in targeted interventions for various forms of osteoporosis. Liver injury induced by different liver diseases can cause an imbalance in bone metabolism, indicating a novel regulatory paradigm between the liver and bone. However, the role of the liver-bone axis in both primary and secondary osteoporosis remains inadequately elucidated. Therefore, exploring the exact regulatory mechanisms of the liver-bone axis may offer innovative clinical approaches for treating diseases associated with the liver and bone. Methods: Here, we summarize the latest research on the liver-bone axis by searching the PubMed and Web of Science databases and discuss the possible mechanism of the liver-bone axis in different types of osteoporosis. The literature directly reporting the regulatory role of the liver-bone axis in different types of osteoporosis from the PubMed and Web of Science databases has been included in the discussion of this review (including but not limited to the definition of the liver-bone axis, clinical studies, and basic research). In addition, articles discussing changes in bone metabolism caused by different etiologies of liver injury have also been included in the discussion of this review (including but not limited to clinical studies and basic research). Results: Several endocrine factors (IGF-1, FGF21, hepcidin, vitamin D, osteocalcin, OPN, LCAT, Fetuin-A, PGs, BMP2/9, IL-1/6/17, and TNF-α) and key genes (SIRT2, ABCB4, ALDH2, TFR2, SPTBN1, ZNF687 and SREBP2) might be involved in the regulation of the liver-bone axis. In addition to the classic metabolic pathways involved in inflammation and oxidative stress, iron metabolism, cholesterol metabolism, lipid metabolism and immunometabolism mediated by the liver-bone axis require more research to elucidate the regulatory mechanisms involved in osteoporosis. Conclusion: During primary and secondary osteoporosis, the liver-bone axis is responsible for liver and bone homeostasis via several hepatokines and osteokines as well as biochemical signaling. Combining multiomics technology and data mining technology could further advance our understanding of the liver-bone axis, providing new clinical strategies for managing liver and bone-related diseases.The translational potential of this article is as follows: Abnormal metabolism in the liver could seriously affect the metabolic imbalance of bone. This review summarizes the indispensable role of several endocrine factors and biochemical signaling pathways involved in the liver-bone axis and emphasizes the important role of liver metabolic homeostasis in the pathogenesis of osteoporosis, which provides novel potential directions for the prevention, diagnosis, and treatment of liver and bone-related diseases.

Photoinduced Nickel-Catalyzed Homolytic C(sp3)-N Bond Activation of Isonitriles for Selective Carbo- and Hydro-Cyanation of Alkynes.

The exploration of strong chemical bonds as synthetic handles offers new disconnection strategies for the synthesis of functionalized molecules via transition metal catalysis. However, the slow oxidative addition rate of these covalent bonds to a transition metal center hampers their synthetic utility. Here, we report a C(sp3)-N bond activation strategy that bypasses thermodynamically challenging 2e- or 1e- oxidative addition via a distinct pathway in nickel catalysis. This strategy leverages a previously unknown activation pathway of photoinduced inner-sphere charge transfer of low-valent nickel(isonitriles), triggering a C(sp3)-N bond cleavage distal to the metal-ligand interaction to deliver nickel(cyanide) and versatile alkyl radicals. Utilizing this catalytic strategy, the selective intermolecular 1,2-carbocyanation reaction of alkynes with alkyl isonitriles as both alkylating and cyanating agents can be achieved, delivering a wide array of trisubstituted alkenyl nitriles with excellent atom-economy, regio-, and stereoselectivity under mild conditions. Furthermore, Markovnikov-selective hydrocyanation of aliphatic alkynes can be accomplished through the synergistic action of a photocatalyst utilizing isonitriles as the cyanation agents. Mechanistic investigations support the photogeneration of low-valent Ni(isonitrile) complexes that undergo photochemical homolysis of the C(sp3)-N bond to engage catalytic cyanation with alkynes.

Vonoprazan Dual or Triple Therapy Versus Bismuth-Quadruple Therapy as First-Line Therapy for Helicobacter pylori Infection: A Three-Arm, Randomized Clinical Trial.

BACKGROUND: We compared efficacy of vonoprazan-dual or triple therapies and bismuth-quadruple therapy for treatment-naive Helicobacter pylori (HP) infection in Southern China, where primary resistance rates of clarithromycin and levofloxacin are >30%. METHODS: This was an investigator-initiated, three-arm, randomized clinical trial in Southern China. Between March 2022 and August 2023, treatment-naïve HP-infected adults were randomly assigned to receive one of three 14-day regimens (1:1:1 ratio): vonoprazan-dual (VA-dual; vonoprazan 20 mg twice daily and amoxicillin 1 g thrice daily), vonoprazan-triple (VAC-triple; vonoprazan 20 mg/amoxicillin 1 g/clarithromycin 500 mg twice daily), or bismuth-quadruple therapy containing bismuth, esomeprazole, tetracycline, and metronidazole. Primary outcome was noninferiority in HP eradication, evaluated by UBT 4-6 weeks post-treatment by intention-to-treat (ITT) and per-protocol (PP) analysis (based on subjects who completed 14-day treatment and rechecked UBT). Bonferroni-adjusted p-value of <0.017 was used to determine statistical significance. RESULTS: A total of 298 subjects (mean age: 35.7 ± 8.4 years; male: 134 [45.0%]; VC-dual: 100, VAC-triple: 98, bismuth-quadruple: 100) were enrolled, and 292 (98.0%) had UBT rechecked. ITT analysis showed that both VA-dual (eradication rate of 96.0%) and VAC-triple therapies (95.9%) were noninferior to bismuth-quadruple therapy (92.0%) (difference: 4.0%, 95% CI: -2.9% to 11.5%, p < 0.001; and 3.9%, 95% CI: -3.1% to 11.5%, p < 0.001, respectively). PP analysis also revealed noninferiority (96.7% or 96.7% vs. 97.4%, with difference: -2.9% and -2.9%, p = 0.009 and 0.010, respectively). The frequency of adverse events was 39.0%, 56.1%, and 71.0% in VA-dual, VAC-triple, and bismuth-quadruple therapies, respectively. CONCLUSIONS: VA-dual and VA-triple therapies are highly effective and noninferior to bismuth-quadruple therapy in Southern China. Given the lower adverse effects and fewer antibiotic use, VA-dual therapy is the preferred first-line treatment for HP infection. TRIAL REGISTRATION: Chinese Clinical Trial Registry (No. ChiCTR2200056375). Registered on February 4, 2022, https://www.chictr.org.cn/showproj.aspx?proj=14131.

Loss of SELENOW aggravates muscle loss with regulation of protein synthesis and the ubiquitin-proteasome system.

Sarcopenia is characterized by accelerated muscle mass and function loss, which burdens and challenges public health worldwide. Several studies indicated that selenium deficiency is associated with sarcopenia; however, the specific mechanism remains unclear. Here, we demonstrated that selenoprotein W (SELENOW) containing selenium in the form of selenocysteine functioned in sarcopenia. SELENOW expression is up-regulated in dexamethasone (DEX)-induced muscle atrophy and age-related sarcopenia mouse models. Knockout (KO) of SELENOW profoundly aggravated the process of muscle mass loss in the two mouse models. Mechanistically, SELENOW KO suppressed the RAC1-mTOR cascade by the interaction between SELENOW and RAC1 and induced the imbalance of protein synthesis and degradation. Consistently, overexpression of SELENOW in vivo and in vitro alleviated the muscle and myotube atrophy induced by DEX. SELENOW played a role in age-related sarcopenia and regulated the genes associated with aging. Together, our study uncovered the function of SELENOW in age-related sarcopenia and provides promising evidence for the prevention and treatment of sarcopenia.

The effects of simvastatin on the bone microstructure and mechanics of ovariectomized mice: a micro-CT and micro-finite element analysis study.

BACKGROUND: Osteoporosis is a major health concern for postmenopausal women, and the effect of simvastatin (Sim) on bone metabolism is controversial. This study aimed to investigate the effect of simvastatin on the bone microstructure and bone mechanical properties in ovariectomized (OVX) mice. METHODS: 24 female C57BL/6J mice (8-week-old) were randomly allocated into three groups including the OVX + Sim group, the OVX group and the control group. At 8 weeks after operation, the L4 vertebral bones were dissected completely for micro-Computed Tomography (micro-CT) scanning and micro-finite element analysis (µFEA). The differences between three groups were compared using ANOVA with a LSD correction, and the relationship between bone microstructure and mechanical properties was analyzed using linear regression. RESULTS: Bone volume fraction, trabecular number, connectivity density and trabecular tissue mineral density in the OVX + Sim group were significantly higher than those in the OVX group (P < 0.05). For the mechanical properties detected via µFEA, the OVX + Sim group had lower total deformation, equivalent elastic strain and equivalent stress compared to the OVX group (P < 0.05). In the three groups, the mechanical parameters were significantly correlated with bone volume fraction and trabecular bone mineral density. CONCLUSIONS: The findings suggested that simvastatin had a potential role in the treatment of osteoporosis. The results of this study could guide future research on simvastatin and support the development of simvastatin-based treatments to improve bone health.

Cell comparative learning: A cervical cytopathology whole slide image classification method using normal and abnormal cells.

Automated cervical cancer screening through computer-assisted diagnosis has shown considerable potential to improve screening accessibility and reduce associated costs and errors. However, classification performance on whole slide images (WSIs) remains suboptimal due to patient-specific variations. To improve the precision of the screening, pathologists not only analyze the characteristics of suspected abnormal cells, but also compare them with normal cells. Motivated by this practice, we propose a novel cervical cell comparative learning method that leverages pathologist knowledge to learn the differences between normal and suspected abnormal cells within the same WSI. Our method employs two pre-trained YOLOX models to detect suspected abnormal and normal cells in a given WSI. A self-supervised model then extracts features for the detected cells. Subsequently, a tailored Transformer encoder fuses the cell features to obtain WSI instance embeddings. Finally, attention-based multi-instance learning is applied to achieve classification. The experimental results show an AUC of 0.9319 for our proposed method. Moreover, the method achieved professional pathologist-level performance, indicating its potential for clinical applications.

Role of NF-κB signaling pathway in H2O2-induced oxidative stress of hiPSCs.

The balance between oxidation and antioxidation is crucial for the development of embryo. It is harmful to the early embryonic development if embryonic stem cells (ESCs) encounter the serious oxidative stress in vivo. Induced pluripotent stem cells (iPSCs) are very similar to ESCs and are the important cell source to replace ESCs for research and therapy. Studies show that iPSCs have better resistant ability to oxidative stress, but the involved mechanism remains unclear. In this study, we predicted that the NF-κB pathway might be involved in H2O2-induced developmental damage by network toxicology analysis. Then, the oxidative stress model was established with different concentrations of H2O2 to investigate the mechanism of NF-κB pathway in oxidative stress of human induced pluripotent stem cells (hiPSCs). The results showed as follows: With the increase of H2O2 concentration, the ROS level gradually went up leading to an increasing damage degree of hiPSCs; however, the MDA content was obviously high only in the 400 µM H2O2 group; the activities of some antioxidant indexes such as SOD2 and T-AOC were significantly upregulated in the 100 µM group, while most of antioxidant indexes showed downregulated tendency to different degrees with the increase of H2O2 concentration. The expression levels of P65, P50, IκB, SOD2, and FHC mRNA were upregulated in most H2O2-treated groups, showing a dose-dependent relationship. In subsequent experiments, the inhibitor of IκB-α phosphorylation, Bay11-7082, reversed the upregulation of P65, IκB, and FHC mRNA expression induced by 400 µM H2O2. The protein levels of P65, p-P65, P50, p-P50, IκB, p-IκB, SOD2, and FHC were upregulated in most H2O2-treated groups. However, the upregulation induced by 400 µM H2O2 could be reversed by BAY 11-7082, except for IκB and SOD2. In conclusion, H2O2 could promote the expressions and phosphorylations of NF-κB that could upregulate the expressions of its downstream antioxidant genes to minimize the damage of hiPSCs caused by oxidative stress. These results contribute to a fundamental understanding of the antioxidant mechanism of iPSCs and will further facilitate the application of iPSCs, as well as provide a reference for controlling the oxidative stress encountered in the early development stage of embryo.

METTL14/IGF2BP2-mediated m6A modification of STEAP1 aggravates acute lung injury induced by sepsis.

BACKGROUND: Acute lung injury (ALI) is a severe complication of sepsis, characterized by inflammation, edema, and injury to alveolar cells, leading to high mortality rates. Septic ALI is a complex disease involving multiple factors and signaling pathways. STEAP family member 1 (STEAP1) has been reported to be upregulated in a sepsis-induced ALI model. However, the role of STEAP1 in the regulation of septic ALI is not yet fully understood. METHODS: The study stimulated human pulmonary microvascular endothelial cells (HPMECs) using lipopolysaccharides (LPS) to establish an in vitro ALI model. The study used quantitative real-time polymerase chain reaction (qRT-PCR) to measure mRNA expression, and western blotting assay or immunohistochemistry (IHC) assay to analyze protein expression. Cell counting kit-8 (CCK-8) assay was performed to assess cell viability. Flow cytometry was conducted to analyze cell apoptosis. Tube formation assay was used to analyze the tube formation rate of human umbilical vein endothelial cells (HUVECs). Enzyme-linked immunosorbent assays (ELISAs) were used to measure the levels of interleukin-1beta (IL-1ß) and tumor necrosis factor-alpha (TNF-α). The levels of Fe2+ and reactive oxygen species (ROS) were determined using colorimetric and fluorometric assays, respectively. The glutathione (GSH) level was also determined using a colorimetric assay. m6A RNA immunoprecipitation assay, dual-luciferase reporter assay, and RNA immunoprecipitation assay were performed to identify the association of STEAP1 with methyltransferase 14, N6-adenosine-methyltransferase non-catalytic subunit (METTL14) and insulin like growth factor 2 mRNA binding protein 2 (IGF2BP2). The transcript half-life of STEAP1 was analyzed by actinomycin D assay. Finally, a rat model of polymicrobial sepsis was established to analyze the effects of STEAP1 knockdown on lung injury in vivo. RESULTS: We found that the mRNA expression levels of STEAP1 and METTL14 were upregulated in the blood of ALI patients induced by sepsis compared to healthy volunteers. LPS treatment increased the protein levels of STEAP1 and METTL14 in HPMECs. STEAP1 depletion attenuated LPS-induced promoting effects on HPMECs' apoptosis, inflammatory response, and ferroptosis, as well as LPS-induced inhibitory effect on tube formation. We also found that METTL14 and IGF2BP2 stabilized STEAP1 mRNA expression through the m6A methylation modification process. Moreover, METTL14 silencing attenuated LPS-induced effects by decreasing STEAP1 expression in HPMECs, and STEAP1 silencing ameliorated cecal ligation and puncture-induced lung injury of mice. CONCLUSION: METTL14/IGF2BP2-mediated m6A modification of STEAP1 aggravated ALI induced by sepsis. These findings suggest potential therapeutic targets for the treatment of this disease.

Association between Copper Exposure and Cognitive Function: A Cross-Sectional Study in a County, Guangxi, China.

There has been growing attention to the impact of copper exposure on cognitive function; however, current research on the specific information regarding urinary copper and cognitive function is limited, particularly detailed analyses in the Chinese adult population. This study aimed to explore the association between copper exposure and cognitive function in a cross-sectional design. A total of 2617 participants in a county, Guangxi Zhuang Autonomous Region (Guangxi), China, were included. The mini-mental state examination (MMSE) was used to assess cognitive function, and inductively coupled plasma mass spectrometry was used to measure urinary metal levels. Spearman's rank correlation was used to analyze the correlation between urinary copper levels and various cognitive function assessment indices. After adjusting for potential confounders, binary logistic regression was used to explore the association between urinary copper levels and the risk of cognitive impairment (CI) as revealed by MMSE, and restricted cubic spline regression was further used to explore the dose-response relationship. The results showed a negative correlation between urinary copper levels and orientation, attention and calculation, memory, language ability, and MMSE total scores (P < 0.05). Compared with the low copper exposure group, the high exposure group showed a 58.5% increased risk of CI (OR = 1.585, 95%CI: 1.125 to 2.235, P = 0.008). A significant linear dose-response relationship was observed between urinary copper levels and the risk of CI (P overall = 0.045, P nonlinearity = 0.081). Our findings suggest that higher copper exposure may be associated with CI in the population of a county, Guangxi, China.

METTL3 promotes immature dental pulp stem cells-induced angiogenesis by regulating ETS1 mRNA stability in an m6A-HuR-dependent manner.

Angiogenesis serves as the determinate element of pulp regeneration. Dental pulp stem cell (DPSC) implantation can promote the regeneration of dental pulp tissue. Herein, the role of m6A methyltransferase methyltransferase-like 3 (METTL3) in regulating DPSCs-induced angiogenesis during pulp regeneration therapy was investigated. Cell DPSC viability, HUVEC migration, and angiogenesis ability were analyzed by CCK-8 assay, wound healing, Transwell assay, and tube formation assay. The global and EST1 mRNA m6A levels were detected by m6A dot blot and Me-RIP. The interactions between E26 transformation-specific proto-oncogene 1(ETS1), human antigen R(HuR), and METTL3 were analyzed by RIP assay. The relationship between METTL3 and the m6A site of ETS1 was performed by dual-luciferase reporter assay. ETS1 mRNA stability was examined with actinomycin D. Herein, our results revealed that human immature DPSCs (hIDPSCs) showed stronger ability to induce angiogenesis than human mature DPSCs (hMDPSCs), which might be related to ETS1 upregulation. ETS1 knockdown inhibited DPSCs-induced angiogenesis. Our mechanistic experiments demonstrated that METTL3 increased ETS1 mRNA stability and expression level on DPSCs in an m6A-HuR-dependent manner. ETS1 upregulation abolished sh-METTL3's inhibition on DPSCs-induced angiogenesis. METTL3 upregulation promoted DPSCs-induced angiogenesis by enhancing ETS1 mRNA stability in an m6A-HuR-dependent manner. This study reveals a new mechanism by which m6A methylation regulates angiogenesis in DPSCs, providing new insights for stem cell-based tissue engineering.

Linggui Zhugan Decoction Improves High Glucose-Induced Autophagy in Podocytes.

OBJECTIVES: To explore the influence of Linggui Zhugan Decoction (LGZGD) on high glucose induced podocyte autophagy. METHODS: LGZGD containing serum was prepared by intragastric administation of 4.2 g/kg (low dose), 8.4 g/kg (medium dose), and 12.6 g/kg (high dose) LGZGD into SD rats respectively. MPC5 and AB8/13 podocyte cells were treated with 60 mmol/L glucose to establish diabetic nephropathy podocyte model in vitro. Both podocytes were divided into control group, high glucose group, low dose LGZGD group, medium dose LGZGD group, and high dose LGZGD group, respectively. For the three LGZGD groups, before LGZGD intervention, podocytes were treated with 60 mmol/L glucose for 3 days. After treated with LGZGD containing serum, cells were collected to analyze cell migration using Transwell assay, proliferation using CCK8, apoptosis and cell cycle using flow cytometry, autophagosome formation using transmission electron microscopy, and expression levels of Beclin-1, Atg5, LC3II/I, and P62 proteins using Western blot. RESULTS: Compared with the control group, the proliferation and migration of MPC5 and AB8/13 cells in the high glucose group slightly decreased, whereas these parameters restored after intervention with low and medium concentrations of LGZGD, with the medium dose LGZGD having the better effect (P < 0.05). Flow cytometry showed that the medium dose LGZGD group had a significantly lower apoptosis rate (P < 0.05) and higher survival rate (P > 0.05) compared to the high dose LGZGD group. High glucose arrested podocytes in G1 phase, whereas LGZGD shifted podocytes from being predominant in G1 phase to G2 phase. High dose LGZGD significanly reduced high glucose-increased autophagosome formation in both podocytes (P < 0.05). Western blot analysis showed that Beclin-1, Atg5, LC3II/I, and P62 expressions were increased in MPC5 cells treated with high glucose and reversed after adminstration of low and medium doses of LGZGD (P < 0.05). CONCLUSIONS: LGZGD reduced apoptosis and enhanced autophagy in high glucose treated podocytes via regulating Beclin-1/LC3II/I/Atg5 expression.