Objective: To investigate the serological identification and blood group gene sequencing analysis of two rare cases of K phenotype producing high-frequency antigen antibodies (anti-Ku), and to study the serological interrelationship between K cells and the high-frequency antigen antibody anti-KL. Methods: Serological methods were used to identify the antigen phenotypes of the ABO, Rh, and Kell blood group systems and to screen for and identify unexpected antibodies in the two patients. The characteristics of the unexpected antibodies were verified by the indirect antiglobulin test (IAT) using papain or dithiothreitol (DTT) -treated screening cells. The titer of anti-Ku was determined via the tube method using DTT-treated plasma. The Kell blood group genotype was determined by gene sequencing. The distinctive antigenicity of K cells was validated through their reactivity with anti-KL in IAT, and absorption-elution techniques were employed to corroborate the type of anti-KL. Results: Serological findings: Case 1 was blood group O, CCDee; Case 2 was blood group A, CCDee. Both cases exhibited the Kell phenotype: K-k-, Kp (a-b-). High-frequency antigen antibodies were detected in the plasma of both patients. The reactivity of these antibodies was slightly enhanced with papain-treated screening cells but became negative with DTT-treated cells. The anti-Ku (IgG) titer for Case 1 was 64. For Case 2, the anti-Ku (IgM) titer was<1, and the anti-Ku (IgG) titer was 32. Gene sequencing revealed that both cases harbored a homozygous c.715G>T mutation in the KEL gene, corresponding to the genotype KEL02N.24, consistent with the rare K phenotype. The unique high expression of the Kx antigen on K cells was confirmed through the antibody characteristics of anti-KL. Absorption-elution techniques demonstrated that K cells could separate anti-Km and anti-Kx, thereby supporting the classification of anti-KL. Conclusion: Serological and molecular biological assays identified both patients as having the rare Kell-null (K ) phenotype. If such rare blood types go undetected in transfusion medicine, the administration of standard blood products can readily induce the production of high-frequency antigen antibodies such as anti-Ku, potentially leading to a transfusion crisis due to the subsequent difficulty in finding compatible blood. The serological relationship between K cells and anti-KL clarified the characteristic high expression of the Kx antigen on K phenotype erythrocytes and concurrently supported the typological features of the rare high-frequency antibody anti-KL. This represents the first such verified report in China.

Ulcerative colitis （UC） is a chronic nonspecific inflammatory intestinal disease with a complex pathogenesis. Its recurrent attacks easily lead to persistent intestinal mucosal damage， resulting in a year-by-year increase in incidence and imposing a heavy burden on patients. Currently， the treatment of UC mainly relies on corticosteroids， immunosuppressants， and aminosalicylate preparations. However， these therapies are limited by significant side effects， strong drug resistance， and poor long-term prognosis. As one of the important inflammatory pathways， the Janus kinase 2 （JAK2）/signal transducer and activator of transcription 3 （STAT3） signaling pathway can regulate the occurrence and development of UC through multiple pathways by modulating multiple downstream targets. Therefore， the JAK2/STAT3 signaling pathway offers a new research direction for the treatment of UC. Numerous studies have shown that the JAK2/STAT3 signaling pathway plays an important role in intestinal inflammatory responses， intestinal mucosal barrier damage， T helper cell 17 （Th17）/regulatory T cell （Treg） immune imbalance， intestinal epithelial cell apoptosis， and oxidative stress. Chinese medicine has attracted increasing attention because of its unique advantages， including fewer side effects， individualized diagnosis and treatment， and enhancement of efficacy with reduction of toxicity. In addition to traditional Chinese herbal formulas， more Chinese medicine monomers and extracts have played key roles because of their more precise therapeutic targets. In recent years， many studies have confirmed that Chinese medicine can exert therapeutic effects on UC by interfering with the JAK2/STAT3 signaling pathway， thereby alleviating intestinal inflammatory responses， repairing the intestinal mucosal barrier， regulating the balance of Th17/Treg immune cells， inhibiting intestinal epithelial cell apoptosis， and suppressing oxidative stress. This article summarizes and reviews recent research progress in this field from three aspects， including an overview of the JAK2/STAT3 signaling pathway， the relationship between the JAK2/STAT3 signaling pathway and UC， and the regulatory mechanisms of traditional Chinese medicine， with the aim of providing a theoretical basis for the future clinical treatment of UC and drug development.

Ulcerative colitis （UC） is a chronic nonspecific inflammatory intestinal disease with a complex pathogenesis. Its recurrent attacks easily lead to persistent intestinal mucosal damage， resulting in a year-by-year increase in incidence and imposing a heavy burden on patients. Currently， the treatment of UC mainly relies on corticosteroids， immunosuppressants， and aminosalicylate preparations. However， these therapies are limited by significant side effects， strong drug resistance， and poor long-term prognosis. As one of the important inflammatory pathways， the Janus kinase 2 （JAK2）/signal transducer and activator of transcription 3 （STAT3） signaling pathway can regulate the occurrence and development of UC through multiple pathways by modulating multiple downstream targets. Therefore， the JAK2/STAT3 signaling pathway offers a new research direction for the treatment of UC. Numerous studies have shown that the JAK2/STAT3 signaling pathway plays an important role in intestinal inflammatory responses， intestinal mucosal barrier damage， T helper cell 17 （Th17）/regulatory T cell （Treg） immune imbalance， intestinal epithelial cell apoptosis， and oxidative stress. Chinese medicine has attracted increasing attention because of its unique advantages， including fewer side effects， individualized diagnosis and treatment， and enhancement of efficacy with reduction of toxicity. In addition to traditional Chinese herbal formulas， more Chinese medicine monomers and extracts have played key roles because of their more precise therapeutic targets. In recent years， many studies have confirmed that Chinese medicine can exert therapeutic effects on UC by interfering with the JAK2/STAT3 signaling pathway， thereby alleviating intestinal inflammatory responses， repairing the intestinal mucosal barrier， regulating the balance of Th17/Treg immune cells， inhibiting intestinal epithelial cell apoptosis， and suppressing oxidative stress. This article summarizes and reviews recent research progress in this field from three aspects， including an overview of the JAK2/STAT3 signaling pathway， the relationship between the JAK2/STAT3 signaling pathway and UC， and the regulatory mechanisms of traditional Chinese medicine， with the aim of providing a theoretical basis for the future clinical treatment of UC and drug development.

SLC13A5 (solute carrier family 13 member 5) is an important transporter that mediates the transmembrane uptake of extracellular citrate. By regulating cytosolic citrate and acetyl-CoA levels, SLC13A5 participates in energy metabolism, lipid synthesis, inflammatory responses, and the maintenance of neuronal homeostasis. This review focuses on the SLC13A5-driven metabolic–inflammatory axis and systematically summarizes its roles and underlying mechanisms in various diseases, as well as recent advances in targeted interventions. SLC13A5-mediated citrate metabolic reprogramming affects lipid synthesis, oxidative stress, and inflammatory signaling, thereby establishing a regulatory network that links metabolic dysfunction with inflammatory responses. In metabolic diseases, upregulated SLC13A5 promotes hepatic de novo lipogenesis, exacerbates insulin resistance, and drives the progression of metabolic dysfunction-associated steatotic liver disease (MASLD) toward inflammatory and fibrotic stages. In inflammation-related diseases, increased SLC13A5 expression enhances citrate metabolic flux, promotes the production of inflammatory mediators, and amplifies inflammatory responses. In cancer, SLC13A5 contributes to metabolic reprogramming and the maintenance of an inflammatory tumor microenvironment, thereby supporting tumor cell growth and proliferation. In the nervous system, loss of SLC13A5 function or abnormal SLC13A5 expression disrupts neuronal energy metabolism, neurotransmitter homeostasis, and neural network function, leading to epilepsy and neurodevelopmental disorders. This review further summarizes SLC13A5-targeted strategies, including small-molecule inhibitors, antisense oligonucleotides, and gene replacement therapy, and discusses the translational challenges such as tissue selectivity, central nervous system safety risks, species differences, and limited delivery efficiency. This review provides a theoretical basis for investigating the mechanisms of SLC13A5-related diseases and developing precision therapeutic strategies.

Objective To explore the diagnostic value of exhaled volatile organic compounds (VOCs) for cystic fibrosis (CF). Methods A systematic search was conducted in PubMed, EMbase, Web of Science, Cochrane Library, CNKI, Wanfang, VIP, and SinoMed databases up to August 7, 2024. Studies that met the inclusion criteria were selected for data extraction and quality assessment. The quality of included studies was assessed by the Newcastle-Ottawa Scale (NOS), and the risk of bias and applicability of included prediction model studies were assessed by the prediction model risk of bias assessment tool (PROBAST). Results A total of 10 studies were included, among which 5 studies only identified specific exhaled VOCs in CF patients, and another 5 developed 7 CF risk prediction models based on the identification of VOCs in CF. The included studies reported a total of 75 exhaled VOCs, most of which belonged to the categories of acylcarnitines, aldehydes, acids, and esters. Most models (n=6, 85.7%) only included exhaled VOCs as predictive factors, and only one model included factors other than VOCs, including forced expiratory flow at 75% of forced vital capacity (FEF75) and modified Medical Research Council scale for the assessment of dyspnea (mMRC). The accuracy of the models ranged from 77% to 100%, and the area under the receiver operating characteristic curve ranged from 0.771 to 0.988. None of the included studies provided information on the calibration of the models. The results of the Prediction Model Risk of Bias Assessment Tool (PROBAST) showed that the overall bias risk of all predictive model studies was high, and the overall applicability was unclear. Conclusion The exhaled VOCs reported in the included studies showed significant heterogeneity, and more research is needed to explore specific compounds for CF. In addition, risk prediction models based on exhaled VOCs have certain value in the diagnosis of CF, but the overall bias risk is relatively high and needs further optimization from aspects such as model construction and validation.

Objective Uranium compounds are critical materials in the nuclear industry, and their mining, processing, and use pose occupational exposure risks. Epidemiological studies have shown that uranium exposure can impair health, with acute uranium poisoning primarily causing structural and functional damage to the kidneys. Currently, the molecular mechanisms underlying uranium-induced kidney injury remain unclear, and traditional biological models used in toxicological research are inadequate for simulating the human microenvironment. This study employed a human kidney organoid model system to elucidate the nephrotoxic mechanisms of uranyl ions, providing a scientific basis for the prevention and control of uranium poisoning. Methods Kidney organoids were constructed using the human embryonic stem cell line H1 and exposed to solutions with different uranyl ion concentrations. Morphological observation, ATP detection, reactive oxygen species detection, apoptosis assay, and untargeted metabolomics analysis were performed. Mechanisms of toxicity were further explored through KEGG pathway enrichment analysis. Results Uranium exposure led to structural damage in the organoids, accompanied by a dose-dependent decrease in ATP levels, accumulation of reactive oxygen species, and increased apoptosis rate. After 24-hour exposure to 300 μmol/L uranium, significantly disturbed differential metabolites and five core metabolic pathways were identified. Conclusion Uranium induces oxidative stress, mitochondrial dysfunction (ATP reduction), and metabolic disorder (disruption of phospholipid/amino acid metabolism), which synergistically cause DNA damage, apoptosis, and/or necrosis. These findings provide new insights into the mechanisms of uranium-induced kidney injury and support the development of prevention and control strategies.

With the rapid development of mobile internet technology, mobile health application (mHealth APP) are increasingly widely used in the field of health management and have been proven to play an important role in the management of chronic diseases. Solid organ transplant recipients face complex health management needs after surgery, including postoperative follow-up, medication management, prevention and treatment of complications and comorbidities, and lifestyle adjustment. mHealth APP can provide solid organ transplant recipients with convenient self-management tools. Although some progress has been made in this field, there are still many challenges, such as insufficient user experience, technological dependence, and data security risks. Therefore, this article discusses the development process, main functions and current application status of mHealth APP, and analyzes its advantages in improving the self-management ability of solid organ transplant recipients, promoting doctor-patient communication and reducing the incidence of complications. At the same time, based on the practical experience of author’s team in developing the “TransMate” mHealth APP, we propose the directions that mHealth APPs should focus on in the future, in order to provide more effective support and services for the health management of solid organ transplant recipients.

Objective To explore predictive factors of severe community-acquired pneumonia (CAP) complicated with respiratory failure (RF) and to develop and internally validate a clinical prediction model. Methods A retrospective study was conducted on 350 patients with severe CAP admitted to Tianyou Hospital Affiliated to Wuhan University of Science and Technology from September 2022 to December 2024. Patients were randomly divided into a training set (n＝245) and a validation set (n＝105) in a 7∶3 ratio, and further categorized into RF and non-RF groups. LASSO regression was applied to optimize variable selection. Multivariate logistic analysis was used to construct the prediction model, followed by internal validation. Results Univariate regression analysis identified male, hypertension, diabetes, coronary heart disease, age, CURB-65 score, white blood cell count, neutrophil count, C-reactive protein (CRP), serum amyloid A, procalcitonin, and hospital stay as risk factors for RF in severe CAP, while albumin level was a protective factor. LASSO regression selected CURB-65 score, albumin level, and CRP for inclusion in the final model. The area under the receiver operating characteristic curve was 0.903 in the training set and 0.919 in the validation set. Calibration curve analysis demonstrated excellent agreement between predicted and observed probabilities in both sets, and Hosmer-Lemeshow goodness-of-fit tests indicated no significant deviations. Threshold probabilities ranged from 0.01 to 0.99 in both training and validation sets. Conclusions CURB-65 score, albumin level, and CRP are independent predictors of RF in severe CAP. The clinical prediction model based on these factors exhibits strong discrimination, calibration, goodness-of-fit, and clinical utility.

Objective To investigate the interaction relationship among symptoms in middle-aged patients during the recovery period of stroke and explore its correlation with rehabilitation confidence,providing a reference for the implementation of precise rehabilitation nursing.Methods A cross-sectional study was conducted,and 365 middle-aged patients in the recovery period of stroke who were hospitalized in 4 tertiary general hospitals in Wuhan from April 20 to August 31,2024 were conveniently selected as the subjects of the investigation.Data were collected using the General Information Questionnaire,Stroke Symptom Experience Scale,and Confidence after Stroke Measure Questionnaire.Symptom network analysis was conducted using R software,and a network structure model of symptoms-rehabilitation confidence was constructed;meanwhile,the stability of the network structure was evaluated.Results Finally,350 middle-aged stroke patients in the recovery period were included.The most common symptom was"limb weakness"(81.1％).Symptom network analysis showed that"limited limb movement"was the core symptom(rs=1.118).The symptoms strongly associated with recovery confidence were"limited physical movement","annoyance at not being able to do what you want to do"and"slow reaction times".Stability tests suggest that the model results are all good.Conclusion Symptoms of middle-aged patients in the recovery period after stroke are interrelated,and the mechanisms by which different symptoms affect rehabilitation confidence are also different.It is recommended that healthcare professionals prioritize interventions based on core symptoms and inter-symptom relationships in order to accurately enhance patient outcomes and improve recovery outcomes.

Objective To explore the temporal characteristics and correlation between active exercise rehabilitation behaviour and related symptoms in middle-aged chronic obstructive pulmonary disease(COPD)patients,and to provide a basis for constructing a full cycle precision rehabilitation management system.Methods The ecological momentary assessment method was used to select 63 middle-aged COPD patients from the respiratory and critical care medicine department of a tertiary comprehensive hospital in Wuhan from October 15 to December 1,2024,using convenience sampling.Their active exercise rehabilitation behaviour(number of exercise projects,duration)and related symptoms(dyspnea,fatigue,anxiety)were continuously monitored for a week by using baseline survey,daily active exercise rehabilitation behavior assessment questionnaire,daily symptom assessment questionnaire.A multi-layer linear model was used to analyze the dynamic correlation between active exercise rehabilitation behaviour and symptoms.Results 58 patients were included.During the 1-week ecological momentary assessment,the system triggered a total of 1,218 momentary assessments and obtained 1,120 valid responses(with the valid response rate of 91.95％),with patients completing an average of(2.76±0.39)assessments per day.Multilevel linear models showed that momentary dyspnoea,fatigue,anxiety symptoms and baseline kinesiophobia all significantly negatively influenced active exercise rehabilitation behaviour(P＜0.05).Conclusion There are dynamic changes in the active exercise rehabilitation behaviour and related symptoms of middle-aged COPD patients.Nursing staff should establish a precise rehabilitation intervention system based on symptom fluctuations,strengthen patient self-management efficiency through dynamic monitoring and hierarchical management,and achieve long-term optimization of lung rehabilitation effects.