Macular hole is an age-related disorder defined by a full-thickness defect of the foveal retina and a profound loss of central vision. First described in the mid-19th century, its study has now extended across more than 150 years. Breakthroughs in science and technology—especially the relentless refinement of retinal imaging platforms—have progressively refined our understanding of the disease. Optical coherence tomography(OCT)in particular has revolutionized characterization of the condition. At the same time, the widespread adoption of macular hole surgery has not only driven deeper investigations into pathogenesis and pre-operative assessment but also facilitated the global dissemination of surgical expertise and a marked rise in anatomical success. This review synthesizes the multimodal imaging hallmarks of macular holes and highlights the remaining clinical challenges in the application of OCT technology.

In recent years, significant progress has been made in the study of the complex pathophysiology of sepsis. However, sepsis remains the main cause of high mortality among critically ill patients worldwide. Early diagnosis, timely treatment, and accurate prediction of the prognosis are crucial for the successful treatment of septic patients. Lactic acid not only serves as a diagnostic indicator for septic shock but also participates in the immune response process of sepsis. It regulates gene epigenetic regulation through lactylation, thereby affecting the expression of related genes, cellular metabolism, and the immune response of the body. Therefore, it may become a new target for the treatment of sepsis. Lactate-related indicators, such as lactic acid/albumin ratio (LAR) and lactic acid/hematocrit ratio (LHR), also have important value in the prognosis assessment of septic patients and are superior to the evaluation efficacy of a single indicator. This is of great significance for timely detection of the changes in the condition of septic patients and their risk stratification and precise treatment. This review focused on the relationship between lactylation, lactatization, lactate-related indicators and sepsis, as well as the latest research progress. By revealing their roles in the occurrence, development and prognosis of sepsis, it provided new ideas for clinical diagnosis and treatment, uncovered new mechanisms of disease onset, guided disease risk stratification, optimized existing treatment strategies, and also offered new references and directions for basic research on lactate-related indicators.
Humans ; Sepsis/metabolism* ; Lactic Acid/metabolism* ; Prognosis ; Biomarkers/blood*

Castleman disease(CD)is a rare lymphoproliferative disorder with an unclear etiology and pathogenesis.This article reports a case of unicentric Castleman disease(UCD)occurring in the submandibular region.The patient presented with a painless submandibular mass.Imaging studies revealed a well-defined,hypervascular lesion,and histopathological examination confirmed the diagnosis of plasma cell-type CD.Submandibular CD is exceptionally rare and can be easily misdiagnosed as lymphadenitis or lymphoma,necessitating a com-bination of imaging and pathological examinations for differential diagnosis.This case report provides valuable insights into diagnosis and management of CD.

Objective:To study the correlation between hair fluorine level and hypertension of permanent residents in high altitude areas of Tibet Autonomous Region (Tibet).Methods:A random cluster sampling method was used to select 5 villages in the high altitude areas of Tibet from June to August 2021 and June to August 2022, respectively, and questionnaire survey, physical examination, and biochemical indicator testing were conducted on permanent Tibetan residents in the above mentioned villages. At the same time, hair samples were collected, the hair fluorine level was determined by ion selective electrode method, and the correlation between various indicators and hair fluorine level and hypertension was analyzed.Results:A total of 227 individuals were included, with hair fluorine level of (15.06 ± 0.16) mg/kg. Correlation analysis showed that there was no correlation between the study subjects' systolic blood pressure, diastolic blood pressure, body mass index, pulse, neck circumference, chest circumference, uric acid level and hair fluorine level ( P > 0.05). Abdominal circumference, hip circumference, and hemoglobin level were positively correlated with hair fluorine level ( r = 0.23, 0.14, 0.29, P < 0.05), while blood glucose level and finger pulse oxygen were negatively correlated with hair fluorine level ( r = - 0.23, - 0.24, P < 0.001). Binary logistic regression analysis showed that age ( OR = 1.04, 95% CI: 1.01 - 1.06), chest circumference ( OR = 1.10, 95% CI: 1.01 - 1.20), and hair fluorine level ( OR = 1.22, 95% CI: 1.02 - 1.46) had an impact on hypertension ( P < 0.05). Conclusion:There is a certain correlation between hair fluoride level and hypertension in the population of high altitude areas in Tibet.

Human Respiratory Stem Cells (RSCs) play a crucial role in the maintenance, repair and regeneration of the respiratory system. As a novel therapeutic method, stem cell therapy is a popular research direction in the medical field. And with the in-depth research on the mechanism of pneumonia caused by respiratory infections in recent years, the use of RSCs to explore pneumonia caused by respiratory infections and its therapeutic strategies has become a hot topic. In this paper, we firstly outlined the types of RSCs, summarized the mechanism of pneumonia caused by respiratory tract infections, discussed the advantages of RSCs application and the progress of culture differentiation, and elaborated the therapeutic exploration of RSCs in pneumonia caused by respiratory tract infections.

Probiotics are natural systems bridging synthetic biology, physical biotechnology, and immunology, initiating innate and adaptive anti-tumor immune activity. We previously constructed an all-in-one engineered food-grade probiotic Lactococcus lactis (FOLactis) which could boost the crosstalk among different immune cells such as dendritic cells (DCs), natural killer cells, and T cells. Herein, considering the limited clinical efficacy of naked personalized neoantigen peptide vaccines, we decorate FOLactis with tumor antigens by employing a Plug-and-Display system comprising membrane-inserted peptides. Intranodal injection of FOLactis coated with neoantigen peptides (Ag-FOLactis) induces robust DCs presentation and neoantigen-specific cellular immunity. Notably, Ag-FOLactis not only triggers a 45-fold rise in the quantity of locally reactive neoantigen-specific T cells but also induces epitope spreading in both subcutaneous and metastatic tumor-bearing models, leading to potent inhibition of tumor growth. These findings imply that Ag-FOLactis represents a powerful platform to rapidly and easily display antigens, facilitating the development of a bio-activated platform for personalized therapy.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

AIM: To assess the impact of optimized pulsed technology(OPT)on the morphological and functional changes of meibomian glands in patients with meibomian gland dysfunction(MGD).METHODS: This prospective case-control study enrolled 60 MGD patients(60 right eyes)treated at Weifang Eye Hospital from September 2023 to February 2024. Patients were categorized into mild, moderate, and severe groups based on the extent of meibomian gland loss, with 20 cases(20 eyes)per group. Treatments consisted of bilateral OPT combined with meibomian gland massages, administered biweekly over four sessions. Ocular surface function indicators including the ocular surface disease index(OSDI), corneal fluorescein staining(CFS), non-invasive average tear break-up time(NIBUTav), and non-invasive tear meniscus height(NITMH), as well as meibomian gland function parameters such as meibomian gland expressibility score(MGES)and meibomian gland secretion score(MGYSS)were observed and recorded before treatment and at 3 mo after final treatment. Cellular-level assessments using in vivo confocal microscopy(IVCM)examined meibomian gland acinar unit density(MGAUD), inflammatory cell density(ICD), meibomian gland acinar longest diameter(MGALD)and meibomian gland acinar shortest diameter(MGASD).RESULTS: At baseline, no significant differences were found in NITMH across groups(P>0.05). Statistical significance were observed in NIBUTav, MGES, MGYSS, MGAUD, MGALD, and MGASD(all P<0.05). Compared to the mild group, the moderate and severe groups showed significant differences in OSDI, CFS, and ICD(all P<0.05), though no significant differences existed between moderate and severe groups(all P>0.05). At 3 mo after treatment, all groups showed no significant differences in NITMH(all P>0.05). All parameters improved significantly in the mild group(all P<0.05); all indicators improved in the moderate group(P>0.05), except for MGASD before and after treatment(all P<0.05); significant improvements were noted in OSDI, CFS, and NIBUTav in the severe group(all P<0.05), while MGES and MGYSS did not differ significantly(all P>0.05). IVCM parameters(MGAUD, ICD, MGALD, and MGASD)showed no significant change in the severe group(all P>0.05).CONCLUSION:OPT effectively enhances various ocular surface functions and improves gland expressibility and secretion quality in mild to moderate MGD cases, while also positively impacting certain cellular parameters. In severe cases, where most acinar functions are lost and structural reversibility is limited, OPT can still mitigate MGD symptoms and decelerate disease progression.

Objective:To screen serum biomarkers of polycystic ovary syndrome (PCOS) patients by high throughput data independent acquisition (DIA) proteomics technology.Methods:This was a case-control study. A total of 39 peripheral blood samples were collected at Reproductive Medical Center of Jiangxi Maternal and Child Health Hospital from March to November 2021. Among which, 20 cases were from PCOS patients, and 19 cases were from women who underwent assisted reproduction due to male factors causing infertility. DIA proteomics technology combined with bioinformatics analysis were performed to screen for differential protein expression profiles in the serum of PCOS patients. Typical differentially expressed proteins were selected for expression analysis and receiver operating characteristic (ROC) curve analysis, followed by enzyme-linked immunosorbent assay (ELISA) validation.Results:The results of DIA proteomics combined with bioinformatics analysis showed that compared with control group, 194 significantly differentially expressed proteins were screened in the peripheral blood of PCOS patients, including 64 upregulated proteins and 130 downregulated proteins. The ROC curve analysis results showed that the area under curve values of PSMD8, RPS15A, NDUFB1, GM2A, and TOP2A were all above 0.9, indicating that these proteins have good diagnostic value. The ELISA validation results showed that the content of TOP2A in peripheral blood of PCOS patients was significantly upregulated ( P=0.046), while the content of GM2A was significantly downregulated ( P=0.021), when compared with control group, which consistent with the DIA results. Conclusion:DIA proteomics can be used to screen the differential expression of peripheral blood proteins in PCOS patients, among which, PSMD8, RPS15A, NDUFB1, GM2A and TOP2A can be used as serum biomarkers for PCOS diagnosis and treatment.