Spinal trauma, primarily caused by high-energy external forces, predominantly manifest as vertebral fracture and spinal cord injury. These conditions are characterized by spinal pain, restricted mobility, and sensory and autonomic dysfunction, significantly compromising patients′ quality of life and life expectancy. Current diagnostic and therapeutic practices for spinal fracture remain susceptible to subjective clinical experience, resulting in misdiagnosis, underdiagnosis, and imprecise surgical execution. Similarly, the therapeutic efficacy of spinal cord injury rehabilitation is frequently limited by a lack of personalized treatment protocols. The growing integration of artificial intelligence (AI) in medicine presents novel opportunities to overcome these obstacles. By excelling in image interpretation, data analytics, clinical decision support, and personalized rehabilitation planning, AI has emerged as a prominent focus of modern research. To this end, the authors reviewed the research progress in the application of AI in the diagnosis and treatment of spinal fracture and rehabilitation of spinal cord injury, providing a reference for AI-assisted precision diagnosis and treatment of vertebral fracture and rehabilitation of spinal cord injury.

[Objective]To discover the changes in the thermal characteristics of meridian points in patients with diminished ovarian reserve(DOR)under pathological conditions,and to filter possible optimal acupoints for diagnosis of DOR.[Methods]There was a cross-sectional survey with 50 DOR patients and 50 healthy participants included,to detect the infrared thermal characteristics of certain acupoints,by observing the skin temperature and regional local temperature of 27 certain acupoints that were used to diagnose and treat DOR.The relative temperature was the acupoint's temperature minus regional local temperature.Calculate the relative temperature of acupoints and compare the difference between two groups.Logistic regression analysis of acupoints that showed significant difference were used to examine whether DOR related acupoint temperature was the risk of DOR in women.Prediction model for increased DOR risk was constructed and evaluated by using the receiver operating characteristic curve(ROC)and the area under curve(AUC).Using Spearman's test to analyze the correlation between the temperature of DOR-related and modified Kupperman Index(KI).[Results]Comparing with control group,the relative temperature of Zhongwan(CV12),Guanyuan(CV4),Qixue(KI13),right Siman(KI14)and right Shangliao(BL31)showed a significant decrease in DOR patients(P<0.05).Right Shangliao(BL31)was significantly negatively correlated with KI(P<0.05).According to the results of binary logistic regression,the relative temperatures of Zhongwan(CV12),right Siman(KI14)and right Shangliao(BL31)were closely bound up with DOR risk(P<0.05).The ROC curve was constructed basing on the temperature of the above three acupoints and the AUC of the prediction model was 0.775.[Conclusion]The acupoints related to DOR exhibit specific thermal radiation changes,demonstrating potential predictive value as an auxiliary diagnostic tool for DOR risk.

Spinal trauma, primarily caused by high-energy external forces, predominantly manifest as vertebral fracture and spinal cord injury. These conditions are characterized by spinal pain, restricted mobility, and sensory and autonomic dysfunction, significantly compromising patients′ quality of life and life expectancy. Current diagnostic and therapeutic practices for spinal fracture remain susceptible to subjective clinical experience, resulting in misdiagnosis, underdiagnosis, and imprecise surgical execution. Similarly, the therapeutic efficacy of spinal cord injury rehabilitation is frequently limited by a lack of personalized treatment protocols. The growing integration of artificial intelligence (AI) in medicine presents novel opportunities to overcome these obstacles. By excelling in image interpretation, data analytics, clinical decision support, and personalized rehabilitation planning, AI has emerged as a prominent focus of modern research. To this end, the authors reviewed the research progress in the application of AI in the diagnosis and treatment of spinal fracture and rehabilitation of spinal cord injury, providing a reference for AI-assisted precision diagnosis and treatment of vertebral fracture and rehabilitation of spinal cord injury.

[Objective]To discover the changes in the thermal characteristics of meridian points in patients with diminished ovarian reserve(DOR)under pathological conditions,and to filter possible optimal acupoints for diagnosis of DOR.[Methods]There was a cross-sectional survey with 50 DOR patients and 50 healthy participants included,to detect the infrared thermal characteristics of certain acupoints,by observing the skin temperature and regional local temperature of 27 certain acupoints that were used to diagnose and treat DOR.The relative temperature was the acupoint's temperature minus regional local temperature.Calculate the relative temperature of acupoints and compare the difference between two groups.Logistic regression analysis of acupoints that showed significant difference were used to examine whether DOR related acupoint temperature was the risk of DOR in women.Prediction model for increased DOR risk was constructed and evaluated by using the receiver operating characteristic curve(ROC)and the area under curve(AUC).Using Spearman's test to analyze the correlation between the temperature of DOR-related and modified Kupperman Index(KI).[Results]Comparing with control group,the relative temperature of Zhongwan(CV12),Guanyuan(CV4),Qixue(KI13),right Siman(KI14)and right Shangliao(BL31)showed a significant decrease in DOR patients(P<0.05).Right Shangliao(BL31)was significantly negatively correlated with KI(P<0.05).According to the results of binary logistic regression,the relative temperatures of Zhongwan(CV12),right Siman(KI14)and right Shangliao(BL31)were closely bound up with DOR risk(P<0.05).The ROC curve was constructed basing on the temperature of the above three acupoints and the AUC of the prediction model was 0.775.[Conclusion]The acupoints related to DOR exhibit specific thermal radiation changes,demonstrating potential predictive value as an auxiliary diagnostic tool for DOR risk.

Urticarial vasculitis is a skin disease with urticaria-like lesions and a histopathological pattern of leukocytoclastic vasculitis. It is considered a "hidden rash" in traditional Chinese medicine. Xuanfu is the portal that regulates qi, blood, fluid, and the ascending, descending, exiting, and entering of nutrition qi and defensive qi. Collaterals are the pathways for the circulation of qi and blood. The two accompany each other, connecting zang-fu organs, reaching the surfaces of the skin, hair, and external body, circulating qi and fluid, and moistening and protecting the skin. Based on the theory of Xuanfu-collateral, this study aimed to clarify the etiology, pathogenesis, and treatment method of urticarial vasculitis. External assault by wind and Xuanfu blockage are believed to be the initiating factors of this disease. The malnutrition of Xuanfu and collaterals and accumulated dampness-heat are important links in the occurrence and development of urticarial vasculitis. It spreads from Xuanfu to the collaterals, and blockage of the collaterals is the immanent trend of this disease. Clinically, by closely adhering to the core pathogenesis of blockage of Xuanfu-collateral, treatment method such as using wind medicinals to open Xuanfu with pungent and dispersing properties, using the method of supplement deficiency and removing the blockage, and using medicinals to promote blood circulation and remove blood stasis to unblock the blocked collaterals. The herbs are flexibly added or subtracted to unblock Xuanfu and collaterals, harmonize qi and blood, thus all symptoms can be relieved. We hope that this study will provide new ideas for the treatment of urticarial vasculitis with traditional Chinese medicine.

Objective:To explore the feasibility and application value of an automated method for generation of surgical records for resection of benign soft tissue tumor based on dense video descriptions.Methods:The Transformer deep learning model was used to establish an automated surgical record generation system to analyze the surgical videos of 30 patients with benign soft tissue tumor who had been admitted to Department of Orthopedics, Xijing Hospital, Air Force Military Medical University from September 2021 to August 2023. The patient data were randomly divided into training sets, validation sets, and test sets in a ratio of 8∶1∶1. In the test sets, 7 evaluation indexes, BLEU-1, BLEU-2, BLEU-3, BLEU-4, Meteor, Rouge, and CIDEr, were used to evaluate the text quality of surgical records generated by the model. The text of surgical records was compared with the classical algorithm, dense video captioning with paralled decoding (PDVC) in the field of video-intensive description.Results:The automated surgical record generation system running in the test sets showed the following: BLEU-1, BLEU-2, BLEU-3, BLEU-4, Rouge, Meteor, and CIDEr were 16.80, 15.23, 13.01, 11.68, 16.01, 12.67 and 62.30, respectively. The operation of the classical algorithm PDVC showed the following: BLEU-1, BLEU-2, BLEU-3, BLEU-4, Rouge, Meteor, and CIDEr were 15.63, 14.17, 11.90, 10.45, 12.97, 11.99 and 53.64, respectively. The automated surgical record generation system resulted in significant improvements compared with PDVC in all evaluation indexes. The BLEU-4, Rouge, Meteor, and CIDEr were improved by 1.23, 3.04, 0.68 and 8.66, respectively, demonstrating that the system proposed can better capture the key data in the video to help generate more effective text records.Conclusion:As the automated surgical record generation system shows good performance in generating surgical records for resection of benign soft tissue tumor based on intensive video descriptions, it can be applied in clinical practice.

Objective To evaluate the effectiveness and safety of acupuncture in patients with Major Depressive Disorders.Methods Search the database for relevant literature published before April 15,2023.Select randomized controlled trial that meeting the enrollment criteria,evaluate the quality of the literature and classify before meta-analysis systematic evaluation.Results 15 RCTs are included in this study,with a total of 1077 patients.The results showed that acupuncture treatment,compared with antidepressants alone,The score of Hamilton Depression Scale(HAMD)in patients with liver-qi depression disorder[MD=-0.73,95%CI(-1.22,-0.24),P<0.05],the score of TCM Syndrome Scale[MD=-1.89,95%CI(-2.35,-1.44),P<0.001],effective rate[RR=1.09,95%CI(1.03,1.153),P=0.001]and TESS score[MD=-2.76,95%CI(-3.68,-1.85),P<0.001]were statistically significant.Compared with fluoxetine hydrochloride,the effective rate of HAMD scale score was statistically significant[RR=1.07,95%CI(1.01,1.14),P<0.05].Conclusion Compared with antidepressants alone,acupuncture therapy has the advantages for the improvement of HAMD score in patients,the improvement of Traditional Chinese medicine symptoms,and significantly less adverse effects than those in the control group.Through this study,it is considered that acupuncture can be a safe and effective treatment modality.However,due to the quantity and quality of the included literature,the above conclusions still need to be verified by more high-quality clinical trials.

Background Dibutyl phthalate (DBP) is one of the most commonly used plasticizers, and has been found to relate to allergic asthma. However, mechanisms behind the phenomenon linking DBP and allergic asthma are still not well comprehended. Objective To investigate the role of endoplasmic reticulum stress in DBP-exacerbated allergic asthma. Methods Thirty-two male mice were divided into four groups at random, eight mice in each group: control group, allergic asthma model group (ovalbumin, OVA), OVA+40 mg·kg⁻¹ DBP exposure group (OVA+DBP), and OVA+40 mg·kg⁻¹ DBP+50 mg·kg⁻¹ 4-phenyl butyric acid (4-PBA) group (OVA+DBP+4-PBA). The control group mice were treated with saline via intraperitoneal injection on day 21, 35, 42, and 49, and atomized saline for 30 min per day from day 54 to 60. The OVA group mice were injected with 0.3 mL OVA sensitizing solution via intraperitoneal injection on day 21, 35, 42, and 49, and atomized with 1% OVA solution from day 54 to 60. The OVA+DBP group was treated in the same way as the OVA group to build an allergic asthma model, and was orally exposed to 40 mg·kg⁻¹ DBP from day 1 to 53, plus atomized with 1% OVA solution from day 54 to 60. In order to verify the role of endoplasmic reticulum stress in DBP-exacerbated allergic asthma, 4-PBA was injected intraperitoneally every 2 d from day 1 to 53 in the OVA+DBP+4-PBA group mice. The pathological changes such as airway remodeling, inflammatory cell infiltration, and airway mucous hyperplasia in lung tissues were observed after hematoxylin-eosin (HE) and periodic acid-Schiff (PAS) staining. The contents of total immunoglobulin E (T-IgE) and ovalbumin immunoglobulin E (OVA-IgE) levels in serum, and interleukin (IL)-4, IL-5, IL-13, and IL-17A in alveolar lavage fluid (BALF) were detected by Enzyme-Linked ImmunoSorbent Assay(ELISA). The expression levels of endoplasmic reticulum stress-related proteins including inositol-requiring enzyme 1α (IRE1α), protein kinase R-like endoplasmic reticulum kinase (PERK), and activating transcription factor 6 (ATF6) were detected by immunohistochemistry. Results Compared to the control mice, the OVA mice showed significant asthma-like symptoms, including inflammatory cell infiltration, increased inflammatory cytokines, airway remodeling, and mucous hyperplasia. Compared to the OVA group, long-term exposure to DBP aggravated airway pathological changes in the OVA+DBP mice, and increased the serum T-IgE and OVA-IgE levels (P<0.01), the Th2 (IL-4, IL-5, IL-13) and Th17 (IL-17A) cytokines in BALF (P<0.01), and the expression levels of endoplasmic reticulum stress-related proteins IRE1α, PERK and ATF-6 (P<0.01). In addition, after the 4-PBA treatment, it was found that compared with the OVA+DBP group, the expression levels of endoplasmic reticulum stress-related proteins (IRE1α, PERK and ATF-6) were down-regulated in the OVA+DBP+4-PBA group (P<0.01), the levels of cytokines (IL-4, IL-5, IL-13, and IL-17A) in BALF and T-IgE and OVA-IgE in serum were decreased (P<0.01), and airway remodeling and mucous hyperplasia were significantly alleviated. Conclusion Long-term exposure to DBP could aggravate allergic asthma by activating the endoplasmic reticulum stress pathway. This worsening effect is accompanied by the increase of immunoglobulin IgE levels and the release of Th2 and Th17 cytokines, which in turn leads to lung histopathological changes that affect lung function.

Objective To evaluate the effect of hypothermic machine perfusion (HMP) on the expression levels of inflammatory cytokines in rat kidney. Methods Thirty male rats were randomly divided into the control (Control group), static cold storage group (SCS group) and HMP group, with 10 rats in each group. The velocity, intrarenal resistance and pH value of perfusion effluent were recorded during HMP. The expression levels of CXC chemokine ligand (CXCL)1, CXCL2, interferon (IFN)-β1, IFN-α4, CC chemokine ligand (CCL)2, CCL20, interleukin (IL)-17α, IL-17C and tumor necrosis factor (TNF)-α messenger RNA (mRNA) in renal tissues were evaluated by reverse transcription polymerase chain reaction (RT-PCR). Pathological changes of the kidney were observed by hematoxylin-eosin (HE) staining. Results During HMP, the velocity and intrarenal resistance remained stable, and the pH value of perfusion effluent was decreased slowly. RT-PCR showed that the relative expression levels of CXCL1, CXCL2, CCL2, CCL20, IL-17α, IL-17C and TNF-α mRNA in the SCS and HMP groups were higher compared with those in the Control group. Compared with the SCS group, the relative expression levels of CXCL1, CXCL2, CCL2, CCL20, IL-17α and TNF-α mRNA were up-regulated in the HMP group (all P<0.05). HE staining revealed that the morphology of renal cells was normal in the Control group, whereas evident epithelial necrosis, cytoplasmic vacuolation, brush border loss and epithelial shedding were observed in the SCS group. Compared with the SCS group, pathological changes in the HMP group were alleviated. Conclusions HMP may activate renal inflammation, and inhibiting the activation of inflammation during HMP is expected to further improve the effect of allograft preservation.

Objective:To investigate the omics mechanism of SARS-related immune injury and predict targeted therapeutic drugs through clinical bioinformatics analysis of the transcriptome data of SARS virus in order to provide reference for clinical treatment of COVID-19.Methods:The transcriptome data of SARA virus were collected from the Gene Expression Oibus (GEO) and used to screen differential genes. Enrichment analysis and protein interaction analysis were performed to investigate the mechanism of immune damage associated with SARS. A platform of epigenetics in precision medicine (EpiMed) was established to predict potential therapeutic drugs.Results:The mechanism of SARS-related immune injury was complex, involving affecting the function of immune cells through signaling pathways such as Toll-like receptors, increasing cytokines in plasma through Th17 signaling pathway and inducing autoimmune responses after autoantibodies were generated by molecules such as IL-6, NF-κB, and TNF. Drugs such as Chuanqiong and Etanercept might have therapeutic effects on SARS-related immune damage.Conclusions:SARS virus could cause abnormal expression of many immune-related molecules and signaling pathways. Drugs such as Chuanqiong and Etanercept might have therapeutic effects on SARS-related immune damage. This study might provide reference for clinical treatment of COVID-19.