Frostbite is the most common cold injury and is caused by both immediate cold-induced cell death and the gradual development of localized inflammation and tissue ischemia. Delayed healing of frostbite often leads to scar formation, which not only causes psychological distress but also tends to result in the development of secondary malignant tumors. Therefore, a rapid healing method for frostbite wounds is urgently needed. Herein, we used a mouse skin model of frostbite injury to evaluate the recovery process after frostbite. Moreover, single-cell transcriptomics was used to determine the patterns of changes in monocytes, macrophages, epidermal cells, and fibroblasts during frostbite. Most importantly, human-induced pluripotent stem cell (hiPSC)-derived skin organoids combined with gelatin-hydrogel were constructed for the treatment of frostbite. The results showed that skin organoid treatment significantly accelerated wound healing by reducing early inflammation after frostbite and increasing the proportions of epidermal stem cells. Moreover, in the later stage of wound healing, skin organoids reduced the overall proportions of fibroblasts, significantly reduced fibroblast-to-myofibroblast transition by regulating the integrin α5β1-FAK pathway, and remodeled the extracellular matrix (ECM) through degradation and reassembly mechanisms, facilitating the restoration of physiological ECM and reducing the abundance of ECM associated with abnormal scar formation. These results highlight the potential application of organoids for promoting the reversal of frostbite-related injury and the recovery of skin functions. This study provides a new therapeutic alternative for patients suffering from disfigurement and skin dysfunction caused by frostbite.
Animals ; Organoids/metabolism* ; Mice ; Humans ; Wound Healing ; Frostbite/metabolism* ; Skin/pathology* ; Induced Pluripotent Stem Cells/cytology* ; Cicatrix/pathology* ; Fibroblasts/metabolism* ; Disease Models, Animal ; Mice, Inbred C57BL ; Extracellular Matrix/metabolism* ; Male

Over the years,the American Diabetes Association(ADA)has been actively committed to the development and promotion of standards for the diagnosis,treatment,and daily care of diabetes.Since 1989,it has updated the diabetes diagnosis and treatment standards every year,which have become one of the most authoritative guidelines in diabetes and have been recognized and adopted by various countries.On December 10,2024,the 2025 Standards of Care in Diabetes were released,incorporating the latest evidence-based medicine content related to diabetes and its complications and comorbidities.It aims to provide guidance on the diagnosis,treat-ment,and management of the condition for clinicians,patients and their families,and researchers.This article interprets the major up-dates from the Standards.

With the acceleration of population aging in China,the management of elderly patients with diabetes has become a critical issue in the field of public health.By integrating international evidence-based medical research data with the specific conditions of China,the 2024 edition of Guideline for the management of diabetes mellitus in the elderly in China proposes individualized diagnosis and treatment strategies for elderly patients with diabetes.This article gives a systematic interpretation of the guideline from a nursing perspective,with a focus on the core contents closely associated with nursing practice,and it also elaborates on the implications for nursing work,summarizes and analyzes the challenges in the management of elderly patients with diabetes,and proposes corresponding strategies,in order to provide a theoretical basis and practical guidance for implementing nursing management of elderly patients with diabetes among clinical nurses.

The Guideline for the prevention and treatment of diabetes mellitus in China(2024 edition),released by the Chinese Dia-betes Society on January 20,2025,has updated evidence on diabetes mellitus from various aspects including its epidemiological status in China,diagnosis and treatment progress,and complication management,aiming to guide and facilitate standardized comprehensive management of diabetes mellitus in clinical practice.This paper interprets the guideline from the perspective of nursing practice,focus-ing on nursing care for special diabetic conditions,lifestyle and behavioral interventions,and the procedures of relevant nursing tech-niques.We hope to provide nursing professionals with standardized guidance on diabetes prevention and treatment,thereby further standardizing and refining specialized nursing care for diabetes mellitus,enhancing the quality of patient care,and improving patient prognosis.

Objective To evaluate the performance of models constructed based on demographic infor-mation and tumor characteristics for predicting distant metastasis in gastric adenocarcinoma patients.Methods Data of 7 788 gastric adenocarcinoma patients from the Surveillance,Epidemiology,and End Results(SEER)database(2001-2021)were collected as the training set,and clinical data of 259 gastric adenocarci-noma patients from Nanchong Jialing District People's Hospital(January 2019 to October 2024)were collect-ed as the test set.Four machine learning algorithms were used to construct a risk prediction model for distant metastasis of gastric adenocarcinoma,and multivariate logistic regression was used to analyze the influencing factors of distant metastasis in patients with gastric adenocarcinoma.Results Distant metastasis was present in 801 cases(10.3%)in the training set and 25 cases(9.7%)in the test set.Multivariate logistic regression analysis showed that high differentiation,advanced T stage,and higher log odds of positive lymph nodes(LODDS)were risk factors for distant metastasis(P<0.05),while older age,primary tumor site at the gas-troesophageal junction,and higher total number of lymph nodes examined were protective factors(P<0.05).Validation on the test set using the four models showed that the predictive ability of the random forest model was superior to that of logistic regression,K-nearest neighbors(KNN),and support vector machine(SVM).The predictive ability of SVM was better than that of logistic regression and KNN,while logistic regression and KNN showed comparable performance.Delong's test showed that the predictive performance of the ran-dom forest model was superior to that of logistic regression,KNN,and SVM.Calibration curve analysis showed that the predictive accuracy of the random forest model was superior to that of logistic regression,KNN,and SVM.The top five important factors in the random forest model were negative lymph node count,tumor size,metastatic lymph node count,T stage and age.Conclusion The risk prediction model for distant metastasis in gastric adenocarcinoma constructed using the random forest algorithm demonstrats optimal per-formance.

Objective The purpose of this study was to investigate the bacterial communities of biting midges and ticks collected from three sites in the Poyang Lake area,namely,Qunlu Practice Base,Peach Blossom Garden,and Huangtong Animal Husbandry,and whether vectors carry any bacterial pathogens that may cause diseases to humans,to provide scientific basis for prospective pathogen discovery and disease prevention and control. Methods Using a metataxonomics approach in concert with full-length 16S rRNA gene sequencing and operational phylogenetic unit(OPU)analysis,we characterized the species-level microbial community structure of two important vector species,biting midges and ticks,including 33 arthropod samples comprising 3,885 individuals,collected around Poyang Lake. Results A total of 662 OPUs were classified in biting midges,including 195 known species and 373 potentially new species,and 618 OPUs were classified in ticks,including 217 known species and 326 potentially new species.Surprisingly,OPUs with potentially pathogenicity were detected in both arthropod vectors,with 66 known species of biting midges reported to carry potential pathogens,including Asaia lannensis and Rickettsia bellii,compared to 50 in ticks,such as Acinetobacter lwoffii and Staphylococcus sciuri.We found that Proteobacteria was the most dominant group in both midges and ticks.Furthermore,the outcomes demonstrated that the microbiota of midges and ticks tend to be governed by a few highly abundant bacteria.Pantoea sp7 was predominant in biting midges,while Coxiella sp1 was enriched in ticks.Meanwhile,Coxiella spp.,which may be essential for the survival of Haemaphysalis longicornis Neumann,were detected in all tick samples.The identification of dominant species and pathogens of biting midges and ticks in this study serves to broaden our knowledge associated to microbes of arthropod vectors. Conclusion Biting midges and ticks carry large numbers of known and potentially novel bacteria,and carry a wide range of potentially pathogenic bacteria,which may pose a risk of infection to humans and animals.The microbial communities of midges and ticks tend to be dominated by a few highly abundant bacteria.

With the development of molecular pharmacognosy, the advantages of DNA molecular markers in the identification of original plants of Chinese medicinal materials are becoming increasingly significant. To compensate for the limitations of existing markers in the quality supervision of Chinese medicinal materials, our team has independently designed a new molecular marker named DNA signature sequence(DSS). This marker is a nucleotide sequence that only appears in a specific taxonomic unit, with a length of 40 bp and high identification accuracy. This article aims to screen and verify the DSS markers that can accurately identify the original plants of the medicinal materials included in the volume one of the Chinese Pharmacopoeia, establish the operating procedure for developing standard nucleotide sequences, and lay a foundation for the widespread application of polymerase chain reaction in the quality supervision of traditional Chinese medicine. Firstly, the Chloroplast Genome Information Resource(CGIR) was searched for the chloroplast genome sequences of the test samples, species of the same genus, and common background species. IdenDSS was used to obtain the DSS tags and specific identification primers of the tested species. After DNA extraction, PCR amplification, sequencing, and sequence alignments, a total of 203 DSS markers of Chinese medicinal materials were obtained for validation. The above sequences were uploaded to the Traditional Chinese Medicine Molecular Identification Platform(www.herbsdna.com), and a standard DSS library was established for identifying the original plants of medicinal materials, serving as an important tool for quality supervision of Chinese materia medica. On this basis, an operating procedure for DSS development is formed, laying a foundation for further DSS screening and application based on more diverse genome sequences.
Plants, Medicinal/classification* ; DNA, Plant/genetics* ; Drugs, Chinese Herbal ; Pharmacopoeias as Topic ; Genetic Markers ; Medicine, Chinese Traditional

The paper introduces professor ZHUANG Li-xing's clinical experience in treatment of dyskinesia of Parkinson's disease with acupuncture at triple-acupoint prescription. In pathogenesis, dyskinesia of Parkinson's disease refers to yang deficiency and disturbing wind. In treatment, acupuncture focuses on warming yang, promoting the circulation of the governor vessel, regulating the spirit and stopping trembling; and Baihui (GV 20), Suliao (GV 25) and Dingchanxue (Extra) are selected to be "trembling relief needling". In combination with Jin's three needling, named "three-trembling needling" "three-governor-vessel needling" and "three-spasm needling", the triple-acupoint prescription is composed. To ensure the favorable therapeutic effect, this prescription is modified according to the symptoms and the specific techniques of acupuncture are combined such as conducting qi, harmonizing yin and yang, and manipulating gently for reinforcing and reducing.
Humans ; Acupuncture Points ; Parkinson Disease/therapy* ; Acupuncture Therapy/methods* ; Acupuncture ; Dyskinesias

We investigated the impact and predictive value of bladder function in patients with benign prostatic hyperplasia (BPH) on the efficacy of transurethral prostatectomy. Symptomatic, imaging, and urodynamic data of patients who underwent transurethral prostatectomy at West China Hospital of Sichuan University (Chengdu, China) from July 2019 to December 2021 were collected. Follow-up data included the quality of life (QoL), International Prostate Symptom Score (IPSS), and IPSS storage and voiding (IPSS-s and IPSS-v). Moreover, urinary creatinine (Cr), nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF), and prostaglandin estradiol (PGE2) were measured in 30 patients with BPH and 30 healthy participants. Perioperative indicators were determined by subgroup analyses and receiver operating characteristic (ROC) curve analysis. Among the 313 patients with BPH included, patients with severe micturition problems had more improvements but higher micturition grades postoperatively than those with moderate symptoms. Similarly, good bladder sensation, compliance, and detrusor contractility (DC) were predictors of low postoperative IPSS and QoL. The urinary concentrations of BDNF/Cr, NGF/Cr, and PGE2/Cr in patients were significantly higher than those in healthy participants (all P < 0.001). After evaluation, only DC was significantly related to both urinary indicators and postoperative recovery of patients. Patients with good DC, as predicted by urinary indicators, had lower IPSS and IPSS-v than those with reduced DC at the 1st month postoperatively (both P < 0.05). In summary, patients with impaired bladder function had poor recovery. The combined levels of urinary BDNF/Cr, NGF/Cr, and PGE2/Cr in patients with BPH may be valid predictors of preoperative bladder function and postoperative recovery.

Objective: A gradient stress model of PC12 cells induced by corticosterone was established to provide a basis for the evaluation and regulation of cell stress. Methods: The effect of corticosterone on cell viability was observed by measuring PC12 cell viability at different concentrations of corticosterone (0~1 000 μmol/L) after different intervention times (8~48 h) to screen the cell models for optimal intervention conditions. Key stress indicators (MDA, SOD, NADH, LDH) were measured spectrophotometrically and microscopically to evaluate the models. Results: When the concentration of corticosterone was below 200 μmol/L and the intervention time was 12 h, the cell viability was below half inactivation rate, which could reduce the confounding factors due to the decrease of cell viability in each group. Compared with the blank control group, corticosterone increased the levels of MDA, NADH and LDH,and decreased the levels of SOD in the model group in a concentration-dependent manner (P＜0.01), which was consistent with the construction of the gradient stress model. Conclusion: A gradient stress injury model of PC12 cells was successfully established, with intervention concentrations of 0 μmol/L, 25 μmol/L, 50 μmol/L, 100 μmol/L, 150 μmol/L and 200 μmol/L corticosterone at an intervention time of 12 h. The degree of stress injury of the cell model was increased gradually, which could be used as a basis and object for conducting cell stress injury assessment and regulation experiments.
Animals ; Cell Survival ; Corticosterone/pharmacology* ; NAD/pharmacology* ; PC12 Cells ; Rats ; Superoxide Dismutase