ObjectiveThis study aimed to investigate the effects of 4-week high-intensity interval training (HIIT) on synaptic plasticity in the prefrontal cortex (PFC) of rats exposed to chronic unpredictable mild stress (CUMS), and to explore its potential mechanisms. MethodsA total of 48 male Sprague-Dawley rats were randomly divided into 4 groups: control (C), model (M), control plus HIIT (HC), and model plus HIIT (HM). Rats in groups M and HM underwent 8 weeks of CUMS to establish depression-like behaviors, while groups HC and HM received HIIT intervention beginning from the 5th week for 4 consecutive weeks. The HIIT protocol consisted of repeated intervals of 3 min at high speed (85%-90% maximal training speed, S_max) alternated with one minute at low speed (50%-55% S_max), with 3 to 5 sets per session, conducted 5 d per week. Behavioral assessments and tail-vein blood lactate levels were measured at the end of the 4th and 8th weeks. After the intervention, rat PFC tissues were collected for Golgi staining to analyze synaptic morphology. Enzyme-linked immunosorbent assays (ELISA) were employed to detect brain-derived neurotrophic factor (BDNF), monocarboxylate transporter 1 (MCT1), lactate, and glutamate levels in the PFC, as well as serotonin (5-HT) levels in serum. Additionally, Western blot analysis was conducted to quantify the expression of synaptic plasticity-related proteins, including c-Fos, activity-regulated cytoskeleton-associated protein (Arc), and N-methyl-D-aspartate receptor 1 (NMDAR1). ResultsCompared to the control group (C), the CUMS-exposed rats (group M) exhibited significant reductions in sucrose preference rates, number of grid crossings, frequency of upright postures, and entries into and duration spent in open arms of the elevated plus maze, indicating marked depressive-like behaviors. Additionally, the group M showed significantly reduced dendritic spine density in the PFC, along with elevated levels of c-Fos, Arc, NMDAR1 protein expression, and increased concentrations of lactate and glutamate. Conversely, BDNF and MCT1 contents in the PFC and 5-HT levels in serum were significantly decreased. Following HIIT intervention, rats in the group HM displayed considerable improvement in behavioral indicators compared with the group M, accompanied by significant elevations in PFC MCT1 and lactate concentrations. Furthermore, HIIT notably normalized the expression levels of c-Fos, Arc, NMDAR1, as well as glutamate and BDNF contents in the PFC. Synaptic spine density also exhibited significant recovery. ConclusionFour weeks of HIIT intervention may alleviate depressive-like behaviors in CUMS rats by increasing lactate levels and reducing glutamate concentration in the PFC, thereby downregulating the overexpression of NMDAR, attenuating excitotoxicity, and enhancing synaptic plasticity.

Objective To investigate the effect of rats'injuries and its mechanism caused by specific dose of radiation combined with decompression exposure.Methods 81 male SD rats were randomly divided into control group(n=9),radiation group(n=18),radiation+low-load decompression group(n=18),radiation+medium-load decompression group(n=18),and radiation+high-load decompression group(n=18).In addition to control group,the rats were irradiated with 60Co γ rays at 4 Gy and then underwent rapid escape experiments.The high-pressure exposure schemes were to stay underwater 57 m for 30 min,45 min or 60 min and reduce to normal pressure within(30±5)s,respectively.The high-pressure exposure was not carried out in radiation group.The behavior and death of rats in each group were observed 0.5 h after leaving the cabin.Blood(abdominal aorta)and lung tissues were collected at 3 h and 72 h,respectively.The changes of lung wet-dry weight ratio(W/D),lung pathology and serum levels of interleukin(IL)-1β,IL-6,tumor necrosis factor-α(TNF-α),superoxide dismutase(SOD),malondialdehyde(MDA),nitric oxide(NO),intercellular adhesion molecule-1(ICAM-1)and thromboxane B2(TXB2)were analyzed.Results Compared with control group and radiation group,radiation+low-load decompression group showed no significant difference in the injury and death rate of rats(P＞0.05),while radiation+medium-load decompression group and radiation+high-load decompression group showed significantly increase of the injury and death rate of rats(P＜0.05).Compared with control group,other groups showed no significant change in pulmonary W/D at 3 h(P＞0.05),and increased at 72 h(P＜0.05).HE staining showed that compared with control group,radiation group showed mild lung interstitial edema,while radiation+low-load decompression group showed obvious pulmonary tissue edema and a small number of red blood cells exudated in the alveolar cavity.The edema,congestion and inflammatory cell infiltration of lung tissue were more serious in radiation+medium-load decompression group and radiation+high-load decompression group.Compared with control group and radiation group,all radiation+decompression groups showed an increase in serum levels of IL-1β,IL-6,TNF-α,MDA,NO,ICAM-1 and TXB2(P＜0.05),and a decrease in SOD activity(P＜0.05).Compared with radiation+low-load decompression group,radiation+medium-load decompression group and radiation+high-load decompression group showed increase in serum levels of IL-1β,IL-6,MDA,ICAM-1 and TXB2(P＜0.05),and decrease in activity of SOD(P＜0.05).Except for control group,serum levels of IL-1β,IL-6,TNF-α,MDA,NO,ICAM-1 and TXB2 were decreased at 72 h compared with 3 h(P＜0.05),and SOD activity was increased at 72 h in all groups(P＜0.05).Conclusions High-load decompression can increase the injury and death rate of rats exposed to radiation and high pressure.The potential mechanism of the combined injury effect of radiation and decompression was related to inflammation,immune stress,oxidative damage,vasomotor activity and coagulation mechanism.

Objective To evaluate the patient-reported outcome(PRO)of patients with breast cancer who underwent autologous breast reconstruction and implant breast reconstruction.Methods Patients who underwent breast reconstruction in Shanghai Cancer Center,Fudan University from Jan 2020 to Jun 2021 were selected,including 111 patients who underwent autologous breast reconstruction and 108 patients who underwent implant breast reconstruction.Chinese version Breast-Q2.0 scale,breast cancer specificity scale QLQ-BR23 and EORTC quality of life scale QLQ-C30 were used to investigate the PRO of the two groups 18 months after operation.Results The rate of stage Ⅲ breast cancer in the self-weight construction group was higher than that in the implant reconstruction group(64.9%vs.44.4%,P<0.001).The preoperative neoadjuvant therapy and postoperative radiotherapy in the autologous reconstruction group were higher than those in the implant reconstruction group(P<0.001).Postoperative chemotherapy and endocrine therapy in the autologous reconstruction group were lower than those in the implant reconstruction group(P<0.001).The study based on Breast-Q scale showed that the breast satisfaction of autologous reconstruction group was higher than that of implant reconstruction(59.28±17.20 vs.54.94±14.48,P<0.05).The study based on QLQ-BR23 showed that the self-weight construction group was higher than the implant reconstruction group in the field of arm symptoms(20.02±20.80 vs.12.65±16.18,P<0.05).The study based on QLQ-C30 scale showed that there was no significant difference in all functional areas and symptom areas of patients.There was no significant difference in the number and time of social regression between the two groups.Conclusion Breast reconstruction can improve the PRO of breast cancer patients,and oncology factors will affect the choice of breast reconstruction.Patients with autologous breast reconstruction are more satisfied with breast appearance,but upper limb symptoms such as swelling and pain are more obvious than implant reconstruction,which is related to the higher proportion of axillary lymph node dissection in patients with autologous reconstruction.There is no significant difference in quality of life and social regression between the two groups.

ObjectiveProtein arginine methyltransferases (PRMTs) play pivotal roles in numerous cellular biological processes. However, the precise regulatory effects of PRMTs on the fate determination of mesenchymal stromal/stem cells (MSCs) remain elusive. Our previous studies have shed light on the regulatory role and molecular mechanism of PRMT5 in MSC osteogenic differentiation. This study aims to clarify the role and corresponding regulatory mechanism of PRMT7 during the adipogenic differentiation of bone marrow-derived mesenchymal stem cells (BMSCs). Methods(1) Human bone marrow-derived mesenchymal stem cells (hBMSCs) were cultured in a medium that induces adipogenesis. We used qRT-PCR and Western blot to monitor changes in PRMT7 expression during adipogenic differentiation. (2) We created a cell line with PRMT7 knocked down and assessed changes in PRMT7 expression and adipogenic capacity using Oil Red O staining, qRT-PCR and Western blot. (3) We implanted hBMSCs cell lines mixed with a collagen membrane subcutaneously into nude mice and performed Oil Red O staining to observe ectopic lipogenesis in vivo. (4) A cell line overexpressing PRMT7 was generated, and we examined changes in PRMT7 expression using qRT-PCR and Western blot. We also performed Oil Red O staining and quantitative analysis after inducing the cells in lipogenic medium. Additionally, we assessed changes in PPARγ expression. (5) We investigated changes in insulin-like growth factor 1 (IGF-1) expression in both PRMT7 knockdown and overexpressing cell lines using qRT-PCR and Western blot, to understand PRMT7’s regulatory effect on IGF-1 expression. siIGF-1 was transfected into the PRMT7 knockdown cell line to inhibit IGF-1 expression, and knockdown efficiency was confirmed. Then, we induced cells from the control and knockdown groups transfected with siIGF-1 in lipogenic medium and performed Oil Red O staining and quantitative analysis. Finally, we assessed PPARγ expression to explore IGF-1’s involvement in PRMT7’s regulation of adipogenic differentiation in hBMSCs. Results(1) During the adipogenesis process of hBMSCs, the expression level of PRMT7 was significantly reduced (P<0.01). (2) The adipogenic differentiation ability of PRMT7 knockdown group was significantly stronger than that of control group (P<0.001). (3) The ectopic adipogenic differentiation ability of PRMT7 knockdown group was significantly stronger than that of control group. (4) The adipogenic differentiation ability of the PRMT7 overexpression group was significantly weaker than that of the control group (P<0.01). (5) The expression level of IGF-1 increased after PRMT7 knockdown (P<0.000 1). The expression level of IGF-1 decreased after PRMT7 overexpression (P<0.000 1), indicating that PRMT7 regulates the expression of IGF-1. After siIGF-1 transfection, the expression level of IGF-1 in all cell lines decreased significantly (P<0.001). The ability of adipogenic differentiation of knockdown group transfected with siIGF-1 was significantly reduced (P<0.01), indicating that IGF-1 affects the regulation of PRMT7 on adipogenic differentiation of hBMSCs. ConclusionIn this investigation, our findings elucidate the inhibitory role of PRMT7 in the adipogenic differentiation of hBMSCs, as demonstrated through both in vitro cell-level experiments and in vivo subcutaneous transplantation experiments conducted in nude mice. Mechanistic exploration revealed that PRMT7’s regulatory effect on the adipogenic differentiation of hBMSCs operates via modulation of IGF-1 signaling pathway. These collective findings underscore PRMT7 as a potential therapeutic target for fatty metabolic disorders, thereby offering a novel avenue for leveraging PRMT7 and hBMSCs in the therapeutic landscape of relevant diseases.

Human-animal interaction has a long-standing tradition dating back to ancient times. With the rapid advancements in intelligent chips, wearable devices, and machine algorithms, the intelligent interaction between animals and electronic technology, facilitated by electronic devices and systems for communication, perception, and control, has become a reality. These electronic devices aim to implement an animal-centric working mode to enhance human understanding of animals and promote the development of animal intelligence and creativity. This article takes medium-sized and large animals as research objects, with the goal of developing their ability enhancement, and introduces the concept of “intelligent animal augmentation system (IAAS)”. This concept is used to describe the characteristics of such devices and provides a comprehensive overview of existing animal and computer interface solutions. In general, IAAS can be divided into implantable and non-implantable types, each composed of interface platforms, perception and interpretation, control and instruction components. Through various levels of enhancement systems and architectural patterns, intelligent interaction between humans and animals can be realized. Although existing IAAS still lack a complete independent interaction system architecture, they hold great promise and development space in the future. Not only can they be applied as substitutes for cutting-edge devices and transportation equipment, but they are also expected to achieve cross-species information interaction through intelligent interconnection. Additionally, IAAS can promote bidirectional interaction between humans and animals, playing a significant role in advancing animal ethics and ecological protection. Furthermore, the development of interaction models based on animal subjects can provide insightful research experiences for the design of human-computer interaction systems, thereby contributing to the more efficient realization of the ambitious goal of human-machine integration.

ObjectiveExisting artificial vision devices can be divided into two types: implanted devices and extracorporeal devices, both of which have some disadvantages. The former requires surgical implantation, which may lead to irreversible trauma, while the latter has some defects such as relatively simple instructions, limited application scenarios and relying too much on the judgment of artificial intelligence (AI) to provide enough security. Here we propose a system that has voice interaction and can convert surrounding environment information into tactile commands on head and neck. Compared with existing extracorporeal devices, our device can provide a larger capacity of information and has advantages such as lower cost, lower risk, suitable for a variety of life and work scenarios. MethodsWith the latest remote wireless communication and chip technologies, microelectronic devices, cameras and sensors worn by the user, as well as the huge database and computing power in the cloud, the backend staff can get a full insight into the scenario, environmental parameters and status of the user remotely (for example, across the city) in real time. In the meanwhile, by comparing the cloud database and in-memory database and with the help of AI-assisted recognition and manual analysis, they can quickly develop the most reasonable action plan and send instructions to the user. In addition, the backend staff can provide humanistic care and emotional sustenance through voice dialogs. ResultsThis study originally proposes the concept of “remote virtual companion” and demonstrates the related hardware and software as well as test results. The system can not only achieve basic guide functions, for example, helping a person with visual impairment to shop in supermarkets, find seats at cafes, walk on the streets, construct complex puzzles, and play cards, but also can meet the demand for fast-paced daily tasks such as cycling. ConclusionExperimental results show that this “remote virtual companion” is applicable for various scenarios and demands. It can help blind people with their travels, shopping and entertainment, or accompany the elderlies with their trips, wilderness explorations, and travels.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Eye diagnosis is a method for inspecting systemic diseases and syndromes by observing the eyes.With the development of intelligent diagnosis in traditional Chinese medicine(TCM),artificial intelligence(AI)can improve the accuracy and efficiency of eye diagnosis.However,the research on intelligent eye diagnosis still faces many challenges,including the lack of standardized and precisely labeled data,multi-modal information analysis,and artificial in-telligence models for syndrome differentiation.The widespread application of AI models in medicine provides new insights and opportunities for the research of eye diagnosis intelli-gence.This study elaborates on the three key technologies of AI models in the intelligent ap-plication of TCM eye diagnosis,and explores the implications for the research of eye diagno-sis intelligence.First,a database concerning eye diagnosis was established based on self-su-pervised learning so as to solve the issues related to the lack of standardized and precisely la-beled data.Next,the cross-modal understanding and generation of deep neural network models to address the problem of lacking multi-modal information analysis.Last,the build-ing of data-driven models for eye diagnosis to tackle the issue of the absence of syndrome dif-ferentiation models.In summary,research on intelligent eye diagnosis has great potential to be applied the surge of AI model applications.

Multisystem inflammatory syndrome in children(MIS-C)is a complex syndrome characterized by multi-organ involvement that has emerged in the context of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)outbreak.The clinical presentation of MIS-C is similar to Kawasaki disease but predominantly presents with fever and gastrointestinal symptoms,and severe cases can involve toxic shock and cardiac dysfunction.Epidemiological findings indicate that the majority of MIS-C patients test positive for SARS-CoV-2 antibodies.The pathogenesis and pathophysiology of MIS-C remain unclear,though immune dysregulation following SARS-CoV-2 infection is considered a major contributing factor.Current treatment approaches for MIS-C primarily involve intravenous immunoglobulin therapy and symptomatic supportive care.This review article provides a comprehensive overview of the definition,epidemiology,pathogenesis,clinical presentation,diagnosis,treatment,and prognosis of MIS-C.

[Objective]To explore the regulatory mechanism of hypoxia exposure on carbon metabolism pathway in spleen of mice.[Methods]C57BL/6 mice were raised at altitudes of 400 m and 4 200 m,with 5 mice in each group.After 30 days,spleen tissues were aseptically removed for analysis of differentially expressed genes,proteins,and metabolites using transcriptome sequencing,proteomics,and non-targeted metabolomics.GO and KEGG enrichment analysis were conducted to explore key pathways.The key genes and protein in the pathway were validated by RT-qPCR and Western blot.[Results]Transcriptome sequencing revealed a significant difference in the expression of 4 213 genes in hypoxic exposure,of which 1 947 were up-regulated and 2 266 were down-regulated.The analysis of differentially expressed proteins showed that 166 proteins were up-regulated and 39 proteins were down-regulated.The results of non-targeted metabolomics showed that 133 different metabolites were screened under high altitude hypoxia condition,of which 95 were up-regulated and 38 were down-regulated.KEGG enrichment analysis showed that differentially expressed genes,differentially expressed proteins and differentially expressed metabolites were enriched into the carbon metabolic pathway.Therefore,the key genes and proteins in the carbon metabolic pathway were verified.The mRNA and protein expressions of PGAM2、ENO3、PRPS2、PGLS、RPE、IDH3A、SUCLA2 and MDH2 were significantly down-regulated in the carbon metabolism pathway.[Conclusion]Low oxygen environment at high altitude weakens glycolysis,tricarboxylic acid cycle and pentose phosphate pathway by inhibiting the carbon metabolism pathway of the body,resulting in oxidative stress and energy metabolism imbalance.