Flap transplantation is a critical surgical strategy for the reconstruction of tissue defects caused by trauma, tumor resection, and congenital malformations, and its survival rate directly determines surgical efficacy and patient prognosis. Following transplantation, flaps inevitably undergo ischemia-reperfusion (I/R) injury, during which oxidative stress, inflammatory responses, and metabolic disturbances are intricately intertwined, ultimately leading to cellular injury and tissue necrosis. Recent studies have demonstrated that multiple forms of programmed cell death—including apoptosis, pyroptosis, ferroptosis, necroptosis, and PANoptosis—play central roles in flap I/R injury. The extensive crosstalk and molecular interactions among these pathways form a highly complex cell death network. Specifically, apoptosis is mediated by the imbalance of Bcl-2 family proteins and the activation of cysteine-dependent aspartate-specific protease (caspase) cascades; pyroptosis is driven by the NLRP3-caspase-1-GSDMD axis, resulting in membrane pore formation and the release of pro-inflammatory cytokines; ferroptosis is characterized by iron-dependent lipid peroxidation and dysfunction of glutathione peroxidase 4 (GPX4); necroptosis is triggered by the receptor-interacting serine/threonine-protein kinase 1 (RIPK1)-RIPK3-MLKL signaling complex, leading to membrane rupture; and PANoptosis represents an integrated form of inflammatory cell death that coordinates multiple death pathways. Importantly, these forms of programmed cell death are not independent but are interconnected through extensive signaling crosstalk. Key regulatory molecules, including caspase-8, reactive oxygen species (ROS), nuclear factor-κB (NF-κB), and nuclear factor erythroid 2-related factor 2 (Nrf2), collectively modulate the dynamic balance among these pathways. Therefore, the multidimensional interplay and spatiotemporal dynamics of programmed cell death constitute a fundamental pathological basis of flap I/R injury. This review systematically summarizes the latest advances in the mechanisms and interactions of various programmed cell death pathways in flap I/R injury, aiming to elucidate the underlying regulatory network. These insights may provide novel theoretical foundations for optimizing flap protection strategies, improving flap survival, and promoting tissue repair.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective:To compare the dosimetric characteristics of three fractionated stereotactic radiotherapy techniques,i.e.,tomo-therapy(TOMO),volumetric-modulated arc therapy(VMAT),and CyberKnife(CK),in the treatment of intracranial oligometastases,and to assess their dose distribution,treatment efficiency,and difference in dose delivered to organs at risk(OARs).Methods:A retro-spective analysis was performed for the clinical data of 54 patients with intracranial oligometastases who underwent fractionated stereo-tactic radiotherapy in The First Affiliated Hospital of Army Medical University in 2021-2023.Varian Eclipse 16.1 Physician Worksta-tion was used to perform tumor target volume delineation,and MANTEIA AccContour 3.2 software was used to perform the delineation of OARs,such as brainstem,spinal cord,and optical nerves.The delineated structures and images were transmitted to TOMO,CK,and Eclipse treatment planning systems to design three different radiotherapy treatment plans.Related key parameters were analyzed using the dose-volume histogram to evaluate the dosimetric characteristics of these three radiotherapy techniques,including conformity index(CI)of the target,dose homogeneity index(HI),beam-on time,the number of monitor units(MU),and the exposure dose of OARs.Results:All three treatment plans(TOMO,VMAT,and CK)met the requirements for prescribed dose.TOMO had a slightly better CI than VMAT and CK(1.05 vs.1.09 and 1.17,P<0.001).VMAT had a better HI than CK and TOMO(1.15 vs.1.28 and 1.46,P<0.001).In terms of execution efficiency,VMAT had a significantly shorter beam-on time than TOMO and CK(5 minutes,1 633 MU vs.10 minutes,8 932 MU and 39 minutes,5 191 MU,P<0.001).In terms of the exposure dose of OARs,CK provided the best protection for the lens,with a maximum dose of 15 cGy for the right lens and 17 cGy for the left lens,and TOMO had an advantage in dose control for the right cochlea,with a mean dose of 88 cGy,while VMAT had the best performance in limiting the dose for the spinal cord,with a maximum dose of 31 cGy(P<0.05).Conclusion:This study shows that TOMO,VMAT,and CK all meet the requirements for the prescribed dose and can effectively protect OARs in the treatment of in-tracranial oligometastases.In clinical practice,the most appropriate technique should be selected based on the features of lesions and treatment goals to achieve individualized treatment.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective:To analyze the correlation between caregiver characteristics and clinical manifestations of patients with Alzheimer′s disease (AD) dementia.Methods:It was a cross-sectional study. A total of 167 patients with AD dementia and 167 matched caregivers from Chinese Imaging, Biomarkers, and Lifestyle study of Alzheimer′s Disease (CIBL) study between January 1 and December 31, 2023 were consecutively selected as the study subjects. The data such as gender, age, body max index (BMI), waist to hip ratio, educational years, combined chronic diseases, disease course and the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Neuropsychiatric Inventory (NPI), Activities of Daily Living (ADL), Mini-Nutritional Assessment (MNA), and Dietary Diversity Score (DDS) of the patients were collected. The data such as gender, educational years, the relationship with patients, and the Caregiver Burden Inventory (CBI) score in the caregivers were also evaluated. According to the gender of caregivers, the patients were divided into female caregiver group (108 cases) and male caregiver group (59 cases). The Spearman correlation and multiple linear regression analyses were used to assess the impact of the caregiver characteristics on the cognitive function, NPS, activities of daily living, and nutritional status of the patients with AD dementia.Results:Among the 167 patients with AD dementia, 80 cases were men, and 87 cases were women, with a mean age of (68.43±7.51) years. Among the 167 matched caregivers, 59 were spouse, 98 were offspring, and 10 were others (nanny or other relatives). The AD patients in the male caregiver group had lower BMI and MNA scores than those in female caregivers′ group [(23.35±3.70) vs (24.80±3.33) kg/m 2, 22.00 (20.00, 24.50) vs 24.00 (21.00, 26.00) points] (both P<0.05). The educational years of the caregivers was negatively related to the ADL score ( r=-0.196), and was positively related to the MNA score of the patients ( r=0.180) (both P<0.05); while the CBI score of the caregiver was positively related to the age ( r=0.180), NPI score ( r=0.568) and ADL scores ( r=0.702) in the patients, and it was negatively related to the BMI ( r=-0.163), MMSE score ( r=-0.499), MoCA score ( r=-0.491) and MNA scores ( r=-0.387) in the patients (all P<0.05). The shorter educational years and elevated CBI score were independent risk factors for the decline in the MMSE score ( β=0.310, 95% CI: 0.021-0.598; β=-0.225, 95% CI:-0.297--0.154) and MNA score ( β=0.204, 95% CI: 0.067-0.340; β=-0.082, 95% CI:-0.116--0.049), as well as the increase in the NPI score ( β=-0.628, 95% CI:-1.208--0.047; β=0.575, 95% CI: 0.431-0.718) and ADL score ( β=-0.519, 95% CI:-0.860--0.179; β=0.361, 95% CI: 0.277-0.445) in the patients with AD dementia (all P<0.001). Conclusions:A low educational level of caregivers and a heavy caregiver burden are associated with decreased cognitive function, worsening NPS, reduced ADL, and declining nutritional status in patients with AD dementia.

Osteoarthritis is a chronic inflammatory disease characterized by damage to the articular cartilage, synovitis, and subchondral bone remodeling. Its pathological mechanisms involve extracellular matrix degradation, cell apoptosis, autophagy, and inflammatory responses. Among these, dysregulated apoptosis is a central driver of disease progression, making chondrocyte apoptosis a critical therapeutic target. This review summarizes current understanding of OA pathogenesis. Pro-inflammatory cytokines [e.g., interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), and IL-6] exacerbate cartilage catabolism by activating signaling pathways like NF-κ B and MAPK. Chemokines, including the C-C motif chemokine ligand (CCL) family and the C-X-C motif chemokine ligand (CXC) family, amplify the inflammatory cascade by recruiting inflammatory cells, thereby contributing to the pathological process of osteoarthritis. In the study of programmed cell death, apoptosis is divided into extrinsic (death receptor pathway) and intrinsic (mitochondrial pathway) types. Both pathways induce chondrocyte apoptosis by activating the caspase cascade. Reactive oxygen species and inflammatory factors can promote excessive chondrocyte apoptosis through these pathways. Therapeutic strategies targeting apoptosis are diverse and include non-coding RNAs (miRNA, lncRNA, circRNA) that inhibit apoptosis by regulating related signaling pathways; phytochemicals that exert anti-inflammatory and anti-apoptotic effects; exosomes that suppress apoptosis by modulating immune responses and metabolism; and proteins/cytokines as well as melatonin, which protect chondrocytes by regulating specific signaling pathways. Clinical studies suggest these approaches hold promise for precision and personalized therapy, though challenges such as high cost, off-target effects, and drug resistance remain. In addition, drug delivery systems based on biomaterials (hydrogels) and nanotechnology can improve drug bioavailability and targeting. For example, drug-loaded hydrogels enable sustained release, and nanoparticles enhance drug stability and delivery efficiency, offering new perspectives for the treatment of osteoarthritis.