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As adults, we might understand that beliefs often spread because people are strongly influenced by their friends, family, and other social connections. However, do we think those influences are strong enough to overrule direct evidence of a friend's unreliability? And do preschoolers expect people to show such biases toward friends and to privilege friendship over reliability? Across three experiments, we explored whether friendship influences the evaluations of trust when others learn labels for novel objects as well as personal opinions. After watching scenes involving a main character, her best friend, and a stranger, preschoolers and adults judged who would be trusted for information from the main character's perspective (third person) as well as their own (first person). Adults (n = 128, 55 female, recruited online from across the United States) expected the main character to trust information from her friend even if she had been previously inaccurate, while basing their own first-person judgments on accuracy. In contrast, 4- and 5-year-olds (n = 128, 62 female, from the United States) thought that the main character would be like themselves and prioritize accuracy over friendship. Further, preschoolers expected the main character to trust her (inaccurate) friend and (accurate) stranger equally when forming personal opinions. Thus, young children, unlike adults, do not expect others' epistemic trust to privilege friendship with the speaker over accuracy information.

Understanding cognitive effort expended during assessments is essential to improving efficiency, accuracy, and accessibility within these assessments. Pupil dilation is commonly used as a psychophysiological measure of cognitive effort, yet research on its relationship with effort expended specifically during language processing is limited. The present study adds to and expands on this literature by investigating the relationships among pupil dilation, trial difficulty, and accuracy during a vocabulary test. Participants (n = 63, M[subscript age] = 19.25) completed a subset of trials from the Peabody Picture Vocabulary Test while seated at an eye-tracker monitor. During each trial, four colored images were presented on the monitor while a word was presented via audio recording. Participants verbally indicated which image they thought represented the target word. Words were categorized into Easy, Medium, and Hard difficulty. Pupil dilation during the Medium and Hard trials was significantly greater than during the Easy trials, though the Medium and Hard trials did not significantly differ from each other. Pupil dilation in comparison to trial accuracy presented a more complex pattern, with comparisons between accurate and inaccurate trials differing depending on the timing of the stimulus presentation. These results present further evidence that pupil dilation increases with cognitive effort associated with vocabulary tests, providing insights that could help refine vocabulary assessments and other related tests of language processing.

Abstract Background In the United States (US), premature cardiovascular disease (CVD) mortality rates (35–74 years) have exhibited increases in recent years, particularly in younger adults, and large differentials by educational attainment. This trend has occurred concurrently with high and increasing obesity prevalence, which also show significant differences by education. This study aims to jointly model premature CVD mortality trends in the US according to obesity status and educational attainment. Methods We used multiple cause of death data from the National Center for Health Statistics, obesity prevalence data from the National Health and Nutrition Examination Survey (NHANES), and educational attainment data from the American Community Survey and NHANES. We applied Bayes’ theorem to these data to calculate the conditional probability of premature CVD mortality given obesity status and educational attainment for 2003–2019. We then projected this conditional probability for 2020–2029 using the Lee-Carter model. Results The probability of premature CVD mortality was greatest for obesity and low education (not graduated high school) and was substantially higher (females 6.7 times higher, males 5.9) compared with non-obesity and high education (Bachelor’s degree or higher) in 2019. There was a widening of the gap in premature CVD mortality from 2003 to 2019 between the obese and non-obese populations, which occurred at each education level and was projected to continue in 2020–2029, especially for males. The conditional probability of premature CVD death for obesity and middle education (finished high school but no Bachelor’s degree) increased substantially and was projected to surpass the level for non-obesity and low education in coming years for males and in younger age groups. At high education, the conditional probability of premature CVD death for the obese population was projected to increase to 2029, while for non-obesity it was projected to remain steady for females and fall for males; this projected widening is greatest at older age groups. Conclusions The findings demonstrate the public health challenge to reduce premature US CVD mortality posed by continued high obesity prevalence, especially for younger ages, lower education groups and males. The relative importance of obesity in influencing premature CVD mortality trends has risen partly due to the decline in CVD mortality attributable to other risk factors.

Abstract Background Non-suicidal self-injury (NSSI) behaviors among adolescents with mood disorders represent a significant global public health concern. This study aimed to assess the prevalence and identify key predictors of NSSI behaviors in Chinese adolescents diagnosed with depressive or bipolar disorders, addressing a critical gap in the literature. Method Data from 2343 participants in the Chinese Adolescent Depression Cohort (CADC) were analyzed. The study employed a comprehensive approach, utilizing medical records, clinical assessments, and validated psychometric instruments. Statistical analyses included chi-square tests, logistic regression, and ROC curve analyses, culminating in the development of a predictive nomogram. Results The prevalence of NSSI behaviors was strikingly high at 73.32%. Significant predictors included female gender (AOR = 2.14, 95% CI [1.70, 2.68]), presence of hallucinations (AOR = 1.52, 95% CI [1.18, 1.97]), borderline personality features (AOR = 1.03, 95% CI [1.01, 1.08]), and childhood trauma (AOR = 1.02, 95% CI [1.01, 1.03]). The study’s key contribution is a predictive nomogram with an AUC of 0.74, demonstrating good efficacy in predicting NSSI behaviors. Conclusion This research reveals an alarmingly high prevalence of NSSI behaviors in Chinese adolescents with mood disorders and identifies critical predictors spanning demographic, clinical, and psychometric domains. The developed nomogram offers a novel approach for risk assessment, highlighting the importance of comprehensive evaluations in adolescent mental healthcare. These findings have significant implications for developing targeted interventions and improving risk assessment strategies in clinical practice.

Central precocious puberty secondary to Leydig cell tumors is rare in children. We retrospectively analyzed the mid- to long-term follow-up data of patients with Leydig cell tumors. The clinical data of 12 consecutive patients who were treated at Beijing Children’s Hospital, Capital Medical University (Beijing, China), between January 2016 and October 2023 were retrospectively reviewed. Clinical evaluations, including physical examination, hormone examination, serum tumor marker analysis, abdominal and scrotal ultrasound, chest X-ray, and bone age measurement, were conducted before surgery and at follow-up time points. Surgical approaches were selected according to the individual conditions. Patients with an abnormal hormonal status and suspected of having central precocious puberty were referred to endocrinologists to confirm the diagnosis. Subsequently, gonadotropin-releasing hormone analog therapy was proposed. The mean patient age was 81.3 (range: 40–140) months at the time of the operation. Ten patients had peripheral precocious puberty at admission. All patients had elevated preoperative testosterone levels, whereas tumor marker levels were normal. Testis-sparing surgery was performed in eleven patients, and radical orchiectomy was performed in one patient. The follow-up duration (mean ± standard deviation) was 36.2 ± 25.3 months. Five patients had central precocious puberty, with a mean duration of 3.4 (range: 1–6) months postoperatively. Three patients were receiving gonadotropin-releasing hormone analog therapy, and good suppression of puberty was observed. No risk factors were found for secondary central precocious puberty. There was a high prevalence of central precocious puberty secondary to Leydig cell tumors in our study. Gonadotropin-releasing hormone analog therapy has satisfactory treatment effects. Larger sample sizes and long-term follow-up are needed in future studies.

The vaccinia virus Tiantan (VTT) is widely utilized as a smallpox vaccine in China and holds significant importance in the prevention of diseases stemming from poxvirus infections. Nevertheless, few studies have investigated the influence of VTT infection on host gene expression. In this study, we constructed time series transcriptomic profiles of HeLa cells infected with both VTT and western reserve (WR) strains. We observed similar patterns of viral gene expression, while the expression levels of host genes varied between the two strains. There was an immediate and significant repression of host gene expression, particularly in genes associated with oxidative phosphorylation. Conversely, genes involved in nerve growth factor (NGF)-stimulated transcription were significantly activated. The upregulation of genes linked to the ribonucleic acid (RNA)-induced silencing complex (RISC) suggested a potential role for posttranscriptional regulation in the interaction between the vaccinia virus and the host. In the later stages of infection, pathways such as extracellular matrix organization, neutrophil degranulation, complement and interferon responses, translation, and programmed cell death are largely inhibited. A significant number of host genes exhibit correlations with changes in the expression levels of viral genes. The host genes that are negatively correlated with viral genes are mainly enriched in pathways associated with translation and the response to viral infection. This study significantly contributes to advancing our understanding of the dynamics between the vaccinia virus and the host, improving the application of VTTs and facilitating the development of effective vaccines against diseases such as smallpox and monkeypox.

Abstract Electrocatalytic C-N coupling from carbon dioxide and nitrate provides a sustainable alternative to the conventional energy-intensive urea synthetic protocol, enabling wastes upgrading and value-added products synthesis. The design of efficient and stable electrocatalysts is vital to promote the development of electrocatalytic urea synthesis. In this work, copper phthalocyanine (CuPc) is adopted as a modeling catalyst toward urea synthesis owing to its accurate and adjustable active configurations. Combining experimental and theoretical studies, it can be observed that the intramolecular Cu-N coordination can be strengthened with optimization in electronic structure by amino substitution (CuPc-Amino) and the electrochemically induced demetallation is efficiently suppressed, serving as the origination of its excellent activity and stability. Compared to that of CuPc (the maximum urea yield rate of 39.9 ± 1.9 mmol h−1 g−1 with 67.4% of decay in 10 test cycles), a high rate of 103.1 ± 5.3 mmol h−1 g−1 and remarkable catalytic durability have been achieved on CuPc-Amino. Isotope-labelling operando electrochemical spectroscopy measurements are performed to disclose reaction mechanisms and validate the C-N coupling processes. This work proposes a unique scheme for the rational design of molecular electrocatalysts for urea synthesis.

Abstract Deep learning algorithms have demonstrated remarkable efficacy in various medical image analysis (MedIA) applications. However, recent research highlights a performance disparity in these algorithms when applied to specific subgroups, such as exhibiting poorer predictive performance in elderly females. Addressing this fairness issue has become a collaborative effort involving AI scientists and clinicians seeking to understand its origins and develop solutions for mitigation within MedIA. In this survey, we thoroughly examine the current advancements in addressing fairness issues in MedIA, focusing on methodological approaches. We introduce the basics of group fairness and subsequently categorize studies on fair MedIA into fairness evaluation and unfairness mitigation. Detailed methods employed in these studies are presented too. Our survey concludes with a discussion of existing challenges and opportunities in establishing a fair MedIA and healthcare system. By offering this comprehensive review, we aim to foster a shared understanding of fairness among AI researchers and clinicians, enhance the development of unfairness mitigation methods, and contribute to the creation of an equitable MedIA society.

A series of star-shaped multi-arm styrene-butadiene copolymers (S-g-SSB-6) were synthesized by living anionic polymerization, with n-butyllithium as initiator, styrene and butadiene as monomers, 2,2-di(tetra-hydrofuran-2-yl) propane as polar structure regulator and hexachlorodisilane as coupling agent. The molecular weight and its distribution, coupling arm number and coupling efficiency of S-g-SSB-6 were characterized by gel permeation chromatogram. The rheological properties of S-g-SSB-6, star-shaped multi-arm styrene-butadiene copolymer with SiCl4 as coupling agent, and linear styrene-butadiene copolymer (L-SSB) were characterized by rotational rheometer, and the effects of branched chain length and branched chain flexibility on the rheological properties of S-g-SSB-6 were also investigated. The results showed that the coupling arm numbers of S-g-SSB-6 reached 4.1, and the coupling efficiency was greater than 80%. S-g-SSB had lower melt viscosity and better fluid flow than those of L-SSB under the same weight-average molecular weight. When the branching degree was the same, the melt viscosity of S-g-SSB-6 increased with the increase of single arm molecular weight and molecular chain rigidity.

Abstract Damage to the development of porcine gametes and embryos caused by high temperatures (HT) is one of the main reasons for the decline in the economic benefits of the livestock industry. Zygotic genome activation (ZGA) marks the beginning of gene expression programs in mammalian pre-implantation embryos. In pigs, ZGA occurs at the 4-cell (4 C) stage, indicating that correct gene expression at this stage plays an important regulatory role in embryonic development. However, the effect of the HT environment on early porcine embryonic development and the RNA expression profile of ZGA remain unclear. In this study, we compared the RNA transcription patterns of porcine 4 C embryos under normal and HT conditions using RNA-seq and identified 326 differentially expressed genes (DEGs). These changes were mainly related to DNA polymerase activity, DNA replication, and nucleotidyltransferase activity. In addition, entries for reverse transcription and endonuclease activity were enriched, indicating that ZGA interfered under HT conditions. Further comparison of the experimental results with the porcine ZGA gene revealed 39 ZGA genes among the DEGs. KEGG and GSEA analysis showed that the oxidative phosphorylation pathway was significantly enriched and signaling pathways related to energy metabolism were significantly downregulated. We also found that NDUFA6 and CDKN1A were located at the center of the protein-protein interaction network diagram of the DEGs. In summary, HT conditions affect mitochondrial function and oxidative phosphorylation levels, and lead to changes in the expression pattern of ZGA in early porcine embryos, with its hub genes NDUFA6 and CDKN1A.

Abstract Formulating a course of action (COA) before a combat is crucial for operational command. Research in command and control (C2) artificial intelligence is currently focused on using intelligent auxiliary decision-making methods to implement COA. This paper proposes a COA planning method based on line of operation (LOO) and uses planning domain definition language (PDDL) to describe combat scenarios and COA. Following the effect-based optimization (EBO) principle, an effect evaluation model for COA was constructed, and dynamic bayesian networks (DBNs) was used to determine the reasoning and calculate the results of the effect evaluation network. To further improve the execution efficiency of the effect evaluation model in practical applications, the network was optimized through a back propagation neural network (BPNN). Relevant experiments based on the coordinated distributed air defense and anti-missile scenario were carried out using the LOO model to complete the planning of COA. A BPNN evaluation model based on the DBNs evaluation model was built. After training and fine-tuning, it achieved similar evaluation results, with a mean absolute percentage error (MAPE) of less than 0.02%. Compared with the DBNs model, the BPNN model achieved an efficiency improvement of no less than 65%, effectively reducing the consumption of computing resources. This research is the first time to realize the modeled description of COA planning, automatic evaluation, and calculation optimization of COA effects. It can support the development of decision support systems (DSS) and has the potential for practical application.

Abstract Regulated cell death (RCD) plays a crucial role in the immune microenvironment, development, and progression of hepatocellular carcinoma (HCC). However, reliable immune-related cell death signatures have not been explored. In this study, we collected 12 RCD modes (e.g., apoptosis, ferroptosis, and cuproptosis), including 1078 regulators, to identify immune-related cell death genes based on HCC immune subgroups. Using a developed competitive machine learning framework, nine genes were screened to construct the immune-related cell death index (IRCDI), which is available for online application. Multi-omics data, along with clinical features, were analyzed to explore the HCC malignant heterogeneity. To validate the efficacy of this model, more than 18 independent cohorts, including survival and diverse treatment cohorts and datasets, were utilized. These findings were further validated using in-house samples and molecular biological experiments. Overall, the IRCDI may have a wide application in individual therapeutic decision-making and improving outcomes for HCC patients.

Abstract Purpose The survival rate of patients with medullary thyroid carcinoma (MTC) who fail to achieve a biochemical cure after surgery is reduced. This study aimed to investigate the prognostic factors affecting the survival of MTC patients who do not achieve a biochemical cure after surgery. Methods Cox univariate and multivariate proportional hazard models were used to determine the influence of different variables on overall survival (OS). Pearson’s chi-square test was used for categorical variables, and paired t-test was used for continuous variables. Results In our study of 277 MTC patients treated between 2012 and 2022, there were 96 with raised postoperative 1-month calcitonin (Ct) levels (0–9.52 pg/ml). The overall survival (OS) rates of patients with high postoperative 1-month Ct values at 1, 3, and 5 years were 97.9%, 94.6%, and 86.8%, respectively. The univariate analysis revealed that patients with a postoperative 1-month Ct > 441.9 pg/ml had a greater risk of mortality than patients with postoperative 1-month Ct values ranging from 9.52 to 73.4 pg/ml (p = 0.043). Subsequent analyses revealed that receiving targeted therapy did not improve the OS of patients with distant metastasis among those with high postoperative 1-month Ct values (p = 0.527). Conclusion This study confirmed that MTC patients who did not achieve biochemical remission after surgery had an increased risk of death when the Ct level was > 441.9 pg/ml 1 month after surgery. Additionally, for MTC patients who have not achieved biochemical remission and have experienced disease progression or distant metastasis after surgery, the use of targeted therapy does not prolong survival.

Graphene-based materials (GBMs) have become potential soil pollutants due to their wide applications in agricultural environments. Although physiological mechanisms of plant responses to GBMs have been previously explored, the underlying molecular mechanisms remain unclear. In this paper, we analysed the physiological and transcriptomic changes of buckwheat (Fagopyrum spp.) roots exposed to 100 mg/L graphene oxide (GO) with different diameter. GO negatively affected root growth and higher diameters of GO caused more adverse effects on the root. In total 3 724 GO-responsive genes were identified in root by transcriptome analysis. 70 differentially expressed genes (DEGs) were involved in ROS detoxification, and 37 transporter-encoding genes were found to be involved in GO response. These transporters may regulate the uptake and transport of GO in buckwheat. The gene expression of 84 transcription factors (TFs) showed a response to GO stress in the root, which may regulate the transporters and reactive oxygen species (ROS) detoxification-related genes. Finally, the difference in the transcriptomic response of the root to the three GO materials with different diameters was investigated. 49 GO-responsive genes may be involved in the difference in the toxicity of GO with different diameters. This study provides new insights into the molecular mechanisms of plant roots to GBMs.

According to developmental psychologists, more supportive and less conflictual relationships with teachers play a positive role in children's social behavior with peers both concurrently and in the future. This meta-analysis examined the association between teacher-student relationship quality, as measured by the Student-Teacher Relationship Scale (STRS), and social competence from early childhood through high school. Based on nearly 30,000 students from 87 studies, the weighted average association between teacher-student relationship quality and social competence with peers was r = 0.31 (z = 0.32; 95% CI: 0.28, 37). Neither age nor length of time between assessments were associated with effect size, suggesting that teacher-student relationships continue to be associated with children's social competence beyond the early years. Additionally, the STRS total score was the best predictor of social competence, whereas dependency was more weakly associated with social competence. The findings of this study suggest that teacher-student relationship quality as measured by the STRS is an important correlate of both concurrent and future social competence from early childhood to adolescence.

Following the initial treatment of nasopharyngeal carcinoma (NPC), tumor progression often portends an adverse prognosis for these patients. MicroRNAs (miRNAs) have emerged as critical regulators of tumor immunity, yet their intricate mechanisms in NPC remain elusive. Through comprehensive miRNA sequencing, tumor tissue microarrays and tissue samples analysis, we identified miR-142-3p as a significantly upregulated miRNA that is strongly associated with poor prognosis in recurrent NPC patients. To elucidate the underlying molecular mechanism, we employed RNA sequencing, coupled with cellular and tissue assays, to identify the downstream targets and associated signaling pathways of miR-142-3p. Our findings revealed two potential targets, CFL2 and WASL, which are directly targeted by miR-142-3p. Functionally, overexpressing CFL2 or WASL significantly reversed the malignant phenotypes induced by miR-142-3p both in vitro and in vivo. Furthermore, signaling pathway analysis revealed that miR-142-3p repressed the RIG-I-mediated immune defense response in NPC by inhibiting the nuclear translocation of IRF3, IRF7 and p65. Moreover, we discovered that ADAR1 physically interacted with Dicer and promoted the formation of mature miR-142-3p in a dose-dependent manner. Collectively, ADAR1-mediated miR-142-3p processing promotes tumor progression and suppresses antitumor immunity, indicating that miR-142-3p may serve as a promising prognostic biomarker and therapeutic target for NPC patients.

The energy storage is an effective solution for the current imbalance between energy supply and demand. In particular, the cascaded storage method can enhance the heat exchange temperature difference and heat storage efficiency. Previous research mainly focused on the combination of different phase change materials, while there was rare research on efficient cascaded conversion pathways for electrothermal direct conversion coupled thermal storage devices. This study investigated the influence of sensible and latent heat storage materials on the thermal performance, and identified the optimal volume ratios and materials types. When the volume share of Mg-Al:PW-EG=1:1, the heat storage performance was the optimal with a quantity/efficiency of heat stored as 7328.7 kJ/97.3 %, leading to an increase of 458.5 kJ/6.6 % than the sensible heat storage condition (Mg-Al:PW-EG=1:0) and 630.18 kJ/8.5 % than the latent heat storage condition (Mg-Al:PW-EG=0:1). When the melting point and latent heat of phase change materials increased from 68.9∼79.1 °C and 224.8 kJ/kg to 118.0 °C and 344.9 kJ/kg respectively, the heat storage temperature rose by 162.7 °C, quantity of heat stored rose by 7535.5 kJ. While materials with large subcooling were not recommended for short-term heat storage, as approximately 25.6 % (3309.3 kJ) of stored heat and 22.4 % (2505.2 kJ) of exergy were wasted when the subcooling degree was 70 °C. The findings provided solutions to support the synergistic enhancement of heat storage/release performance of the composite energy storage heat sink.

The global COVID-19 pandemic has severely impacted human health and socioeconomic development, posing an enormous public health challenge. Extensive research has been conducted into the relationship between environmental factors and the transmission of COVID-19. However, numerous factors influence the development of pandemic outbreaks, and the presence of confounding effects on the mechanism of action complicates the assessment of the role of environmental factors in the spread of COVID-19. Direct estimation of the role of environmental factors without removing the confounding effects will be biased. To overcome this critical problem, we developed a Double Machine Learning (DML) causal model to estimate the debiased causal effects of the influencing factors in the COVID-19 outbreaks in Chinese cities. Comparative experiments revealed that the traditional multiple linear regression model overestimated the impact of environmental factors. Environmental factors are not the dominant cause of widespread outbreaks in China in 2022. In addition, by further analyzing the causal effects of environmental factors, it was verified that there is significant heterogeneity in the role of environmental factors. The causal effect of environmental factors on COVID-19 changes with the regional environment. It is therefore recommended that when exploring the mechanisms by which environmental factors influence the spread of epidemics, confounding factors must be handled carefully in order to obtain clean quantitative results. This study offers a more precise representation of the impact of environmental factors on the spread of the COVID-19 pandemic, as well as a framework for more accurately quantifying the factors influencing the outbreak.

Mycobacteria are causative agents of tuberculosis (TB), which is a global health concern. Drug-resistant TB strains are rapidly emerging, thereby necessitating the urgent development of new drugs. Two-component signal transduction systems (TCSs) are signaling pathways involved in the regulation of various bacterial behaviors and responses to environmental stimuli. Applying specific inhibitors of TCSs can disrupt bacterial signaling, growth, and virulence, and can help combat drug-resistant TB. We conducted a comprehensive pharmacophore-based inhibitor screening and biochemical and biophysical examinations to identify, characterize, and validate potential inhibitors targeting the response regulators PhoP and MtrA of mycobacteria. The constructed pharmacophore model Phar-PR-n4 identified effective inhibitors of formation of the PhoP–DNA complex: ST132 (IC50 = 29 ± 1.6 µM) and ST166 (IC50 = 18 ± 1.3 µM). ST166 (KD = 18.4 ± 4.3 μM) and ST132 (KD = 14.5 ± 0.1 μM) strongly targeted PhoP in a slow-on, slow-off manner. The inhibitory potency and binding affinity of ST166 and ST132 for MtrAC were comparable to those of PhoP. Structural analyses and molecular dynamics simulations revealed that ST166 and ST132 mainly interact with the α8-helix and C-terminal β-hairpin of PhoP, with functionally essential residue hotspots for structure-based inhibitor optimization. Moreover, ST166 has in vitro antibacterial activity against Macrobacterium marinum. Thus, ST166, with its characteristic 1,2,5,6-tetrathiocane and terminal sulphonic groups, has excellent potential as a candidate for the development of novel antimicrobial agents to combat pathogenic mycobacteria.

The increasing interest in multilineage differentiating stress-enduring (Muse) cells within the field of regenerative medicine is attributed to their exceptional homing capabilities, prolonged viability in adverse conditions, and enhanced three-germ-layer differentiate ability, surpassing their parent mesenchymal stem cells. Given their abundant sources, non-invasive collection procedure, and periodic availability, human menstrual blood-derived endometrium stem cells (MenSCs) have been extensively investigated as a potential resource for stem cell-based therapies. However, there is no established modality to isolate Muse cells from MenSCs and disparity in gene expression profiles between Muse cells and MenSCs remain unknown. In this study, Muse cells were isolated from MenSCs by long-time trypsin incubation method. Muse cells expressed pluripotency markers and could realize multilineage differentiation in vitro. Compared with MenSCs, Muse cells showed enhanced homing ability and superior therapeutic efficacy in animal models of acute liver injury (ALI) and intracerebral hemorrhage (ICH). Furthermore, the RNA-seq analysis offers insights into the mechanism underlying the disparity in trypsin resistance and migration ability between Muse and MenSCs cells. This research offers a significant foundation for further exploration of cell-based therapies using MenSCs-derived Muse cells in the context of various human diseases, highlighting their promising application in the field of regenerative medicine.