In recent years,significant progress has been made in diabetes research both domestically and internationally,new diagno-sis and treatment techniques and methods have been constantly emerging,and clinical research evidence has been continuously accu-mulated and updated.To keep pace with these important developments,the Diabetes Branch of the Chinese Medical Association has ac-tively organized experts to update the China Guidelines for the Prevention and Treatment of Diabetes.This update aims to provide a more comprehensive and scientific guide for diabetes prevention and treatment,greatly promote the standardized and integrated man-agement of diabetes by clinicians,and ensure that patients receive standardized and personalized treatment plans to improve therapeu-tic outcomes and quality of life.

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:Through the meta-analysis of activation likelihood estimation (ALE), the functional magnetic resonance imaging research evidence of acupuncture in the treatment of depression was systematically integrated to analyze the effect of acupuncture on brain activity in patients with depression and systematically reveal its potential neural mechanism.Methods:The literatures which used functional magnetic resonance imaging to explore brain image changes of patients with depression after receiving acupuncture intervention were retrieved from CNKI, VIP database, Wanfang database, PubMed, Embase, EBSCO host MEDLINE and Web of Science database. The retrieval time is from the establishment of the database to March 2025. Data processing was performed using the ALE method by the Ginger ALE 2.3 software. The coordinates of the subjects included in the study were extracted, and the brain regions with abnormal spontaneous brain activity in patients with depression were integrated and analyzed.Results:A total of 28 articles involving 770 subjects were included. Depressed patients receiving acupuncture exhibited increased brain activity in the bilateral medial frontal gyrus and bilateral anterior cingulate cortex. Exploratory analysis revealed that depressed patients receiving acupuncture exhibited reduced activation in the left posterior cerebellar lobe (MNI: x, y, z = -6, -68, -21; x, y, z = -9, -81, -9) compared to healthy controls (voxel sum=5 824 mm 3,P<0.05). Conclusion:Patients with depression who received acupuncture intervention exhibited relatively consistent activation in brain regions compared to depressed patients who did not receive acupuncture and healthy individuals. Compared to healthy individuals, patients with depression who received acupuncture showed reduced activation in the left posterior cerebellum. It is suggested that acupuncture intervention may play a therapeutic role by regulating the functional state of emotion-related brain regions and brain networks.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective:Through the meta-analysis of activation likelihood estimation (ALE), the functional magnetic resonance imaging research evidence of acupuncture in the treatment of depression was systematically integrated to analyze the effect of acupuncture on brain activity in patients with depression and systematically reveal its potential neural mechanism.Methods:The literatures which used functional magnetic resonance imaging to explore brain image changes of patients with depression after receiving acupuncture intervention were retrieved from CNKI, VIP database, Wanfang database, PubMed, Embase, EBSCO host MEDLINE and Web of Science database. The retrieval time is from the establishment of the database to March 2025. Data processing was performed using the ALE method by the Ginger ALE 2.3 software. The coordinates of the subjects included in the study were extracted, and the brain regions with abnormal spontaneous brain activity in patients with depression were integrated and analyzed.Results:A total of 28 articles involving 770 subjects were included. Depressed patients receiving acupuncture exhibited increased brain activity in the bilateral medial frontal gyrus and bilateral anterior cingulate cortex. Exploratory analysis revealed that depressed patients receiving acupuncture exhibited reduced activation in the left posterior cerebellar lobe (MNI: x, y, z = -6, -68, -21; x, y, z = -9, -81, -9) compared to healthy controls (voxel sum=5 824 mm 3,P<0.05). Conclusion:Patients with depression who received acupuncture intervention exhibited relatively consistent activation in brain regions compared to depressed patients who did not receive acupuncture and healthy individuals. Compared to healthy individuals, patients with depression who received acupuncture showed reduced activation in the left posterior cerebellum. It is suggested that acupuncture intervention may play a therapeutic role by regulating the functional state of emotion-related brain regions and brain networks.

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

【Objective】 To explore the characteristics of white matter degeneration in amyotrophic lateral sclerosis (ALS) patients with different onset and spreading patterns by using diffusion tensor imaging (DTI). 【Methods】 We enrolled 86 ALS patients and 44 healthy controls. The patients were divided into bulbar- and spinal-onset subgroups according to their onset site, as well as horizon, vertical, interpose/skip, and caudal-rostral subgroups based on the spreading direction of the involved regions. The white matter fiber tracts corresponding to the motor network were set as the region of interest. We used tract-based spatial statistics to evaluate differences between the above groups and the normal controls, with family-wise error (FWE) correction and P<0.05 as statistical significance. 【Results】 The white matter degeneration of ALS patients with bulbar onset was mainly limited to the corona radiation part of the corticospinal tract, while those with spinal onset showed extensive degeneration of corticospinal tract and corpus callosum Ⅲ area (FWE correction, P<0.05). In patients with horizontal and vertical dissemination, decreased integrity of the entire corticospinal tract was found, with patients in the latter group showed extra degeneration in the Ⅲ part of the corpus callosum. Restricted degeneration of the corticospinal tract within bilateral corona radiata was detected in patients with caudal-rostral and interposed/skip spreading pattens (FWE correction, P<0.05). 【Conclusion】 Different onset and disease spread patterns of ALS patients correspond to divergent brain degeneration patterns. The diagnosis, treatment, and management of ALS should fully consider the heterogeneity of the disease.

【Objective】 To investigate changes in thalamus structure and function and their associations with cognitive impairment in patients with amyotrophic lateral sclerosis (ALS). 【Methods】 3D high-resolution structural imaging and resting-state fMRI were applied in 78 ALS patients and 49 healthy volunteers. The shape of the thalamus was assessed using a vortex analysis and functional connectivity between the thalamus subregion and cortex was evaluated by a seed-based correlation analysis. Partial correlation analysis was used to evaluate the correlation between focal thalamus alterations and clinical assessments. 【Results】 Compared with the control group, vertex analysis showed significant atrophy in the prefrontal and temporal subregions of bilateral thalamus in the ALS group. Patients exhibited increased functional connectivity of motor-sensory ROI with the right motor cortex, of temporal ROI with the bilateral lateral occipital cortex, precuneus and right temporal subregion. In contrast, decreased function connectivity was found mainly between temporal ROI and paracingulate gyrus, left dorsomedial prefrontal lobe and left caudate. Partial correlation analysis showed that the functional connectivity of the precuneus, paracingulate cortex, left caudate nucleus and left prefrontal lobe was correlated with multiple cognitive performances. 【Conclusion】 Selective damage of thalamic structure and function in ALS plays an important role in cognitive and behavioral disorders.