Self-face is a unique and highly distinctive stimulus, not shared with others, and serves as a reliable marker of self-awareness. Compared to other faces, self-face processing exhibits several advantages, including the self-face recognition advantage, self-face attention advantage, and self-face positive processing advantage. The self-face recognition advantage manifests as faster and more accurate identification across different orientations and spatial frequency components, supported by enhanced early event-related potential (ERP) components, such as N170. Attentional biases toward self-face are evident in target detection during spatial tasks and the attentional blink effect in temporal paradigms. However, measurement sensitivity, perceptual load, and task demands contribute to some mixed findings. Positive biases further characterize the self-face processing advantage, with individuals perceiving their faces as more attractive or trustworthy than objective representations. These biases even extend to self-similar others, influencing social behaviors such as trust and voting preferences. Self-face processing advantages have been observed at an unconscious level and are regulated by several factors, including self-esteem, cultural differences, and multisensory integration. Cultural and individual differences play a crucial role in shaping self-face advantages. Individuals from Western cultures, which emphasize independent self-construal, exhibit stronger self-face biases compared to those from East Asian collectivist contexts. Self-esteem also modulates self-face advantages: high-self-esteem individuals generally maintain their self-face recognition advantage despite interference, exhibit attentional prioritization of self-faces, and demonstrate enhanced positive associations with subliminal self-faces. In contrast, low-self-esteem individuals display recognition vulnerabilities to social cues, show context-dependent attentional divergence (prioritizing others’ faces in task-oriented settings while prioritizing self-face in free-viewing tasks), and exhibit reversed positive associations with subliminal self-faces. Multisensory integration, such as synchronized visual-tactile cues, enhances self-face advantages and induces perceptual plasticity. This phenomenon is exemplified by the enfacement illusion, in which synchronous visual and tactile inputs update the mental representation of the self-face, leading to assimilation with another face. Neuroanatomically, self-face processing is predominantly lateralized to the right hemisphere and involves a network of brain regions, including the occipital lobe, temporal lobe, frontal lobe, insula, and cingulate gyrus. Disruptions in these networks are linked to self-face processing deficits in socio-cognitive disorders. For instance, autism spectrum disorder (ASD) and schizophrenia are associated with attenuated self-face advantages and abnormal neural activity in regions such as the right inferior frontal gyrus, insula, and posterior cingulate cortex. These findings suggest that self-face processing could serve as a potential biomarker for the early diagnosis and intervention of such disorders. In recent years, researchers have proposed various theoretical explanations for self-face processing and its advantage effects. However, some studies have reported no significant behavioral or neural advantages of self-faces over familiar faces, leaving the specificity of self-face a subject of debate. Further elucidation of self-face specificity requires the adoption of a face association paradigm, which controls for facial familiarity and helps determine whether qualitative differences exist between self-faces and familiar faces. Given the close relationship between self-face processing advantages and socio-cognitive disorders (e.g., ASD, schizophrenia), a deeper understanding of self-face specificity has the potential to provide critical insights into the early identification, classification, and intervention of these disorders. This research holds both theoretical significance and substantial social value.

Objective: To investigate treatment strategies for chronic periapical periodontitis in prematurely erupted premolars and provide guidance for managing pulp and periapical diseases in young permanent teeth with immature roots. Methods: A regenerative endodontic procedure (REP) was performed on a prematurely erupted maxillary left first premolar (tooth 24) at Nolla stage Ⅶ with chronic apical periodontitis, following standardized protocols including root canal irrigation, disinfection, and coronal sealing. The case was followed up, and a literature review was conducted. Results: Clinical resolution of symptoms was observed on tooth 24, with sustained root development. After a 20-month follow-up, the tooth had restored biological function. Literature synthesis revealed that periapical infections in prematurely erupted permanent teeth predominently arise from pulp exposure and bacterial infection, with retrograde infection being rare. For young permanent teeth with necrotic pulp, regenerative endodontic procedures has been established as the treatment of choice to promote apical closure and root maturation. The critical steps of regenerative endodontic procedures include thorough disinfection, induced bleeding to form a fibrin scaffold, and coronal sealing to facilitate stem cell recruitment and differentiation. Conclusion Regenerative endodontic procedures represents an effective and viable treatment option for prematurely erupted young permanent teeth with chronic periapical periodontitis.

BackgroundFear of progression is one of the typical psychological consequences in patients with chronic obstructive pulmonary disease （COPD）. The level of fear of progression is affected by the illness perception status， and the link between social support and fear of progression is acknowledged， whereas the mechanism underlying the three remains unclear due to the lack of empirical research evidence and needs to be further studied. ObjectiveTo explore the mediating role of social support in the relationship between illness perception and fear of progression in COPD patients， and to provide references for effectively alleviating fear in COPD patients. MethodsA total of 435 COPD patients admitted to the Department of Respiratory and Critical Care Medicine， the Affiliated Hospital of Southwest Medical University from March 9 to July 31， 2024 were selected as the study objects. The Chinese version of Fear of Progression Questionnaire-Short Form （FoP-Q-SF）， Chinese version of Brief Illness Perception Questionnaire （BIPQ） and Social Support Rate Scale （SSRS） were used for the evaluation. Pearson's coefficient was calculated to assess the correlation among above scales. Model 4 of the Process macro 3.4.1 for SPSS 25.0 was used to test the mediating effect of social support on the relationship between illness perception and fear of progression， with Bootstrapping used to evaluate the significance of mediating effect. ResultsA total of 412 patients （94.71%） completed this study.BIPQ score was positively correlated with FoP-Q-SF score （r=0.238， P<0.01）， and negatively correlated with SSRS score in COPD patients （r=-0.260， P<0.01）. FoP-Q-SF score was negatively correlated with SSRS score （r=-0.271， P<0.01）. Social support mediated the relationship between illness perception and fear of progression， with an indirect effect value of 0.025 （95% CI： 0.009~0.041）， accounting for 13.02% of the total effect. ConclusionIllness perception can affect the fear of progression in COPD patients both directly and indirectly through social support. ［Funded by Nursing Research Project of Sichuan Province （number， H22010）］

ObjectiveTo evaluate the clinical efficacy of Fuzheng Huaji Formula （扶正化积方） for chronic hepatitis B to reduce the incidence of liver cirrhosis and hepatocellular carcinoma. MethodsA retrospective cohort study was conducted， collecting medical records of 118 patients with chronic hepatitis B and 234 patients with hepatitis B-related cirrhosis who visited the hospital between January 1， 2014， and December 31， 2018. The use of Fuzheng Huaji Formula was designated as the exposure factor. Patients receiving antiviral treatment for hepatitis B without concurrent Fuzheng Huaji Formula therapy were included in the western medicine group， while those receiving antiviral treatment combined with Fuzheng Huaji Formula for a cumulative treatment lasting longer than 3 months were included in the combined treatment group. The follow-up observation period was five years. Kaplan-Meier survival analysis was used to assess the cumulative incidence of cirrhosis in patients with chronic hepatitis B and the cumulative incidence of hepatocellular carcinoma in patients with hepatitis B-related cirrhosis. Univariate and multivariate Cox regression analyses were employed to examine the factors influencing the occurrence of cirrhosis and hepatocellular carcinoma. ResultsAmong patients with chronic hepatitis B， there were 55 cases in the combined treatment group and 63 cases in the western medicine group； among patients with hepatitis B-related cirrhosis， there were 110 cases in the combined treatment group and 124 cases in the western medicine group. Five-year follow-up outcomes for chronic hepatitis B patients showed that the cumulative incidence of cirrhosis was 5.45% （3/55） in the combined treatment group and 17.46% （11/63） in the western medicine group， with a statistically significant difference between groups （Z = 2.003， P = 0.045）. Five-year follow-up outcomes for hepatitis B-related cirrhosis patients showed that the cumulative incidence of hepatocellular carcinoma was 8.18% （9/110） in the combined treatment group and 22.58% （28/124） in the western medicine group， also showing a statistically significant difference （Z = 3.007， P = 0.003）. Univariate and multivariate Cox regression analyses indicated that treatment with Fuzheng Huaji Formula is an independent protective factor in preventing the progression of chronic hepatitis B to cirrhosis and the progression of hepatitis B-related cirrhosis to hepatocellular carcinoma （P＜0.05）. ConclusionCombining Fuzheng Huaji Formula with antiviral therapy for hepatitis B can effectively intervene in the disease progression of chronic hepatitis B， reducing the incidence of cirrhosis and hepatocellular carcinoma.

The Guidelines for Establishing Animal Models of Rheumatoid Arthritis with Cold-dampness Obstruction Syndrome and Dampness-heat Obstruction Syndrome （hereinafter referred to as the Guidelines） （No. T/CACM1567-2024） was published by Chinese Association of Chinese Medicine on January 11， 2024. To assist researchers and medical workers in understanding and applying the Guidelines more accurately， and also to provide reference and assistance for the establishment of guidelines on other types of diseases and syndromes combined with animal models， this paper made a declaration of the workflow， technological links， development references， promotion of its application and after-effect evaluation of the Guidelines that has been made according to the requirements of "Draft Group Standard of the Standardization Office of the Chinese Association of Traditional Chinese Medicine".

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Serine protease inhibitor Kazal-type (SPINK) is a skin keratinizing protease inhibitor, which was initially found in animal serum and is widely present in plants, animals, bacteria, and viruses, and they act as key regulators of skin keratinizing proteases and are involved in the regulation of keratinocyte proliferation and inflammation, primarily through the inhibition of deregulated tissue kinin-releasing enzymes (KLKs) in skin response. This process plays a crucial role in alleviating various skin problems caused by hyperkeratinization and inflammation, and can greatly improve the overall condition of the skin. Specifically, the different members of the SPINK family, such as SPINK5, SPINK6, SPINK7, and SPINK9, each have unique biological functions and mechanisms of action. The existence of these members demonstrates the diversity and complexity of skin health and disease. First, SPINK5 mutations are closely associated with the development of various skin diseases, such as Netherton’s syndrome and atopic dermatitis, and SPINK5 is able to inhibit the activation of the STAT3 signaling pathway, thereby effectively preventing the metastasis of melanoma cells, which is important in preventing the invasion and migration of malignant tumors. Secondly, SPINK6 is mainly distributed in the epidermis and contains lysine and glutamate residues, which can act as a substrate for epidermal transglutaminase to maintain the normal structure and function of the skin. In addition, SPINK6 can activate the intracellular ERK1/2 and AKT signaling pathways through the activation of epidermal growth factor receptor and protease receptor-2 (EphA2), which can promote the migration of melanoma cells, and SPINK6 further deepens its role in stimulating the migration of malignant tumor cells by inhibiting the activation of STAT3 signaling pathway. This process further deepens its potential impact in stimulating tumor invasive migration. Furthermore, SPINK7 plays a role in the pathology of some inflammatory skin diseases, and is likely to be an important factor contributing to the exacerbation of skin diseases by promoting aberrant proliferation of keratinocytes and local inflammatory responses. Finally, SPINK9 can induce cell migration and promote skin wound healing by activating purinergic receptor 2 (P2R) to induce phosphorylation of epidermal growth factor and further activating the downstream ERK1/2 signaling pathway. In addition, SPINK9 also plays an antimicrobial role, preventing the interference of some pathogenic microorganisms. Taken as a whole, some members of the SPINK family may be potential targets for the treatment of dermatological disorders by regulating multiple biological processes such as keratinization metabolism and immuno-inflammatory processes in the skin. The development of drugs such as small molecule inhibitors and monoclonal antibodies has great potential for the treatment of dermatologic diseases, and future research on SPINK will help to gain a deeper understanding of the physiopathologic processes of the skin. Through its functions and regulatory mechanisms, the formation and maintenance of the skin barrier and the occurrence and development of inflammatory responses can be better understood, which will provide novel ideas and methods for the prevention and treatment of skin diseases.

Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

Nanoparticle delivery systems have good application prospects in the field of precision therapy, but the preparation process of nanomaterial has problems such as short in vivo circulation time, easy recognition, and clearance by the immune system in the body. In recent years, biomimetic nanoparticle delivery systems mediated by natural cell membranes have become a research hotspot to address these issues. The natural membrane biomimetic nanoparticle delivery system cleverly integrates the advantages of natural biofilm "autologous" and "artificial" functional carriers by using endogenous cell membranes to modify the surface of nanocarriers, endowing them with characteristics such as tumor targeting, low immunogenicity, and long blood circulation. Currently, biomimetic nanoparticle delivery systems have been used in the treatment of malignant tumors, cardiovascular diseases, bacterial infections, and other diseases. This paper analyzes the development status and current research hotspots of natural cell membrane camouflaged biomimetic nanoparticle delivery systems mainly reviews the latest research progress of red blood cell membrane camouflaged biomimetic nanoparticle delivery systems in the field of disease treatment in recent years. It focuses on exploring the advantages, future development prospects, and limitations of biomimetic nanoparticle delivery systems based on red blood cell membrane camouflage in improving drug delivery, to provide a reference for the in-depth research and development of this system.

Polypoid choroidal vasculopathy(PCV)is associated with poor visual prognosis in its natural course and is more prevalent in Asian populations. Despite advancements in optical coherence tomography(OCT)and OCT angiography(OCTA)that have significantly improved morphological diagnostic capabilities, imaging biomarkers are limited by temporal resolution constraints and fail to elucidate molecular mechanisms underlying vascular angiogenesis, inflammation, genetic factors, and extracellular matrix(ECM)remodeling. This review synthesizes current research on molecular biomarkers associated with PCV, focusing on its core pathological mechanisms. These biomarkers provide crucial insights into disease pathogenesis to inform precision prevention, dynamic disease monitoring, and therapeutic response prediction. Furthermore, this article proposes the integration of multi-omics data(genomics, proteomics, and radiomics)to establish a multimodal hierarchical diagnostic-therapeutic model. This framework will guide risk stratification, real-time disease assessment, and personalized treatment strategies, advancing the development of a precision medicine framework for PCV management.