Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Parkinson's disease (PD) is the most common neurodegenerative movement disease. It is featured by abnormal alpha-synuclein (α-syn) aggregation in dopaminergic neurons in the substantia nigra. Macroautophagy (autophagy) is an evolutionarily conserved cellular process for degradation of cellular contents, including protein aggregates, to maintain cellular homeostasis. Corynoxine B (Cory B), a natural alkaloid isolated from Uncaria rhynchophylla (Miq.) Jacks., has been reported to promote the clearance of α-syn in cell models by inducing autophagy. However, the molecular mechanism by which Cory B induces autophagy is not known, and the α-syn-lowering activity of Cory B has not been verified in animal models. Here, we report that Cory B enhanced the activity of Beclin 1/VPS34 complex and increased autophagy by promoting the interaction between Beclin 1 and HMGB1/2. Depletion of HMGB1/2 impaired Cory B-induced autophagy. We showed for the first time that, similar to HMGB1, HMGB2 is also required for autophagy and depletion of HMGB2 decreased autophagy levels and phosphatidylinositol 3-kinase III activity both under basal and stimulated conditions. By applying cellular thermal shift assay, surface plasmon resonance, and molecular docking, we confirmed that Cory B directly binds to HMGB1/2 near the C106 site. Furthermore, in vivo studies with a wild-type α-syn transgenic drosophila model of PD and an A53T α-syn transgenic mouse model of PD, Cory B enhanced autophagy, promoted α-syn clearance and improved behavioral abnormalities. Taken together, the results of this study reveal that Cory B enhances phosphatidylinositol 3-kinase III activity/autophagy by binding to HMGB1/2 and that this enhancement is neuroprotective against PD.

OBJECTIVE: This study was conducted to explore the mechanism of intestinal inflammation and barrier repair in Crohn's disease (CD) regulated by moxibustion through bile acid (BA) enterohepatic circulation and intestinal farnesoid X receptor (FXR). METHODS: Sprague-Dawley rats were randomly divided into control group, CD model group, mild moxibustion group and herb-partitioned moxibustion group. CD model rats induced by 2,4,6-trinitrobenzene sulfonic acid were treated with mild moxibustion or herb-partitioned moxibustion at Tianshu (ST25) and Qihai (CV6). The changes in CD symptoms were rated according to the disease activity index score, the serum and colon tissues of rats were collected, and the pathological changes in colon tissues were observed via histopathology. Western blot, immunohistochemistry (IHC) and immunofluorescence were used to evaluate the improvement of moxibustion on intestinal inflammation and mucosal barrier in CD by the BA-FXR pathway. RESULTS: Mild moxibustion and herb-partitioned moxibustion improved the symptoms of CD, inhibited inflammation and repaired mucosal damage to the colon in CD rats. Meanwhile, moxibustion could improve the abnormal expression of BA in the colon, liver and serum, downregulate the expression of interferon-γ and upregulate the expression of FXR mRNA, and inhibit Toll-like receptor 4 (TLR4) and myeloid differentiation factor 88 (MyD88) mRNA. The IHC results showed that moxibustion could upregulate the expression of FXR and mucin2 and inhibit TLR4 expression. Western blot showed that moxibustion inhibited the protein expression of TLR4 and MyD88 and upregulated the expression of FXR. Immunofluorescence image analysis showed that moxibustion increased the colocalization sites and intensity of FXR with TLR4 or nuclear factor-κB p65. In particular, herb-partitioned moxibustion has more advantages in improving BA and upregulating FXR and TLR4 in the colon. CONCLUSION Mild moxibustion and herb-partitioned moxibustion can improve CD by regulating the enterohepatic circulation stability of BA, activating colonic FXR, regulating the TLR4/MyD88 pathway, inhibiting intestinal inflammation and repairing the intestinal mucosal barrier. Herb-partitioned moxibustion seems to have more advantages in regulating BA enterohepatic circulation and FXR activation. Please cite this article as: Shen JC, Qi Q, Han D, Lu Y, Huang R, Zhu Y, Zhang LS, Qin XD, Zhang F, Wu HG, Liu HR. Moxibustion improves experimental colitis in rats with Crohn's disease by regulating bile acid enterohepatic circulation and intestinal farnesoid X receptor. J Integr Med. 2023; 21(2): 194-204.
Rats ; Animals ; Crohn Disease/pathology* ; Moxibustion/methods* ; Toll-Like Receptor 4/metabolism* ; Rats, Sprague-Dawley ; Myeloid Differentiation Factor 88/metabolism* ; Colitis ; Inflammation ; Enterohepatic Circulation ; RNA, Messenger/metabolism*

Objective: To summarize the clinical, radiological characteristics, and prognosis of infectious sacroiliitis in children. Methods: A case-control study was conducted, including 12 cases of infectious sacroiliitis diagnosed in the Rheumatology and Immunology Department of the Children's Hospital affiliated with the Capital Institute of Pediatrics from June 2018 to June 2023. These cases comprised the case group. Concurrently, 28 cases of pediatric idiopathic arthritis involving the sacroiliac joint in the same department served as the control group. Basic patient information, clinical features, laboratory parameters, and clinical treatment outcomes for both groups were collected and analyzed. Independent sample t-tests and chi-squared tests were used for inter-group comparisons. Results: Among the 12 cases in the case group, there were 5 males and 7 females, with a disease duration of 0.8 (0.5, 1.2) months. Nine patients presented with fever, and 1 patient had limping gait. Human leukocyte antigen (HLA)-B27 positivity was observed in 1 case, and there was no family history of ankylosing spondylitis. In the control group of 28 cases, there were 19 males and 9 females, with a disease duration of 7.0 (3.0, 17.0) months. One patient (4%) had fever, and 14 cases (50%) exhibited limping gait. HLA-B27 positivity was found in 18 cases (64%), and 18 cases (64%) had a family history of ankylosing spondylitis. The case group had higher white blood cell count (WBC), neutrophil ratio, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) levels, as well as a higher proportion of unilateral involvement on magnetic resonance imaging and bone destruction on CT compared to the control group ((11.1±6.2)×10⁹ vs. (7.3±2.3)×10⁹/L, 0.64±0.10 vs. 0.55±0.12, 72 (34, 86) vs. 18 (5, 41) mm/1 h, 24.6 (10.1, 67.3) mg/L vs. 3.6 (0.8, 15.0) mg/L, 11/12 vs. 36% (10/28), 9/12 vs. 11% (3/28), t=2.90, 3.07, Z=-2.94, -3.28, χ²=10.55, 16.53, all P<0.05). Conclusions: Pediatric infectious sacroiliitis often presents as unilateral involvement with a short disease history. Elevated WBC, CRP, and ESR, as well as a high rate of bone destruction, are also common characteristics.
Male ; Female ; Humans ; Child ; Sacroiliitis/diagnostic imaging* ; Spondylitis, Ankylosing/diagnosis* ; Case-Control Studies ; Sacroiliac Joint/diagnostic imaging* ; Radiography ; Magnetic Resonance Imaging ; Fever

Aim To investigate the effect of curcumin extract on melanin production and melanosome transport, and to explore the possible mechanism of the curcumin extract on microenvironment. Methods (1) B16F10 and HaCaT cells were cultured with different concentrations of curcumin. The proliferation ability was detected by MTT method. Melanin synthesis and tyrosinase activity in B16F10 cells were detected by NaOH pyrolysis method and Oxidation dopamine response in vitro. The expression levels of key proteins were detected by Western blot. (2) B16F10 cells were cultured with different concentrations of ISG15 protein. NaOH pyrolysis method and Oxidation dopamine response in vitro were used to detect melanin synthesis and tyrosinase activity in B16F10 cells. Results Curcumin could directly inhibited tyrosinase activity and melanin production, and inhibit melanocyte migration within a certain concentration range. ISG15 protein could enhance the melanin production, tyrosinase activity. Curcumin could reduce the expression of the ISG15 in HaCaT cell, change the microenvironment of melanocyte, and indirectly inhibit melanin synthesis through ISG15. Conclusions In addition to directly inhibiting melanin synthesis, curcumin can also play an indirect role in inhibiting melanin synthesis by inhibiting the expression of ISG15 protein and altering the microenvironment of melanocytes.

Objective: To explore the clinical features and prognosis of children with histiocytic necrotizing lymphadenitis (HNL). Methods: The clinical data of 118 children with HNL diagnosed and treated in the Department of Rheumatology and Immunology of Children's Hospital, Capital Institute of Pediatrics from January 2014 to December 2021 were retrospectively analyzed. The clinical symptoms, laboratory examination, imaging examination, pathological findings, treatment and follow-up were analyzed. Results: Among the 118 patients, 69 were males and 49 were females. The age of onset was 10.0 (8.0, 12.0) years, ranging from 1.5 to 16.0 years. All the children had fever lymph node enlargement, blood system involvement in 74 cases (62.7%), skin injury in 39 cases (33.1%). The main manifestations of laboratory examination were increased erythrocyte sedimentation rate in 90 cases (76.3%), decreased hemoglobin in 58 cases (49.2%), decreased white blood cells in 54 cases (45.8%) and positive antinuclear antibody in 35 cases (29.7%). Ninety-seven cases (82.2%) underwent B-mode ultrasound of lymph nodes, showing nodular lesions with low echo in the neck; 22 cases (18.6%) underwent cervical X-ray and (or) CT; 7 cases (5.9%) underwent cervical magnetic resonance imaging. Lymph node biopsy was performed in all 118 cases, and the pathological results did not support malignant diseases such as lymphoma or Epstein-Barr virus infection, suggesting HNL. Fifty-seven cases (48.3%) recovered without treatment, 61 cases (51.7%) received oral steroid therapy, and 4 cases (3.4%) received indomethacin as anal stopper. The 118 cases were followed up for 4 (2, 6) years, ranging from 1 to 7 years, 87 cases (73.7%) had one onset and did not develop into other rheumatological diseases, and 24 cases (20.3%) had different degrees of recurrence, 7 cases (5.9%) had multiple system injuries, and all of the tested autoantibodies were positive for medium and high titers. All of them developed into other rheumatic immune diseases, among which 5 cases developed into systemic lupus erythematosus and 2 cases developed into Sjogren's syndrome; 7 cases were given oral steroid therapy, including 6 cases plus immunosuppressant and 2 cases receiving methylprednisolone 20 mg/kg shock therapy. Conclusions: The first-onset HNL portion is self-healing, hormone-sensitive and has a good prognosis. For HNL with repeated disease and multiple system injury, antinuclear antibody titer should be monitored during follow-up, and attention should be paid to the possibility of developing into other rheumatological diseases, with poor prognosis.
Female ; Male ; Humans ; Child ; Histiocytic Necrotizing Lymphadenitis/drug therapy* ; Antibodies, Antinuclear ; Epstein-Barr Virus Infections ; Retrospective Studies ; Herpesvirus 4, Human ; Prognosis ; Steroids

We wished to establish an expert consensus on late stage of critical care (CC) management. The panel comprised 13 experts in CC medicine. Each statement was assessed based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) principle. Then, the Delphi method was adopted by 17 experts to reassess the following 28 statements. (1) ESCAPE has evolved from a strategy of delirium management to a strategy of late stage of CC management. (2) The new version of ESCAPE is a strategy for optimizing treatment and comprehensive care of critically ill patients (CIPs) after the rescue period, including early mobilization, early rehabilitation, nutritional support, sleep management, mental assessment, cognitive-function training, emotional support, and optimizing sedation and analgesia. (3) Disease assessment to determine the starting point of early mobilization, early rehabilitation, and early enteral nutrition. (4) Early mobilization has synergistic effects upon the recovery of organ function. (5) Early functional exercise and rehabilitation are important means to promote CIP recovery, and gives them a sense of future prospects. (6) Timely start of enteral nutrition is conducive to early mobilization and early rehabilitation. (7) The spontaneous breathing test should be started as soon as possible, and a weaning plan should be selected step-by-step. (8) The waking process of CIPs should be realized in a planned and purposeful way. (9) Establishment of a sleep-wake rhythm is the key to sleep management in post-CC management. (10) The spontaneous awakening trial, spontaneous breathing trial, and sleep management should be carried out together. (11) The depth of sedation should be adjusted dynamically in the late stage of CC period. (12) Standardized sedation assessment is the premise of rational sedation. (13) Appropriate sedative drugs should be selected according to the objectives of sedation and drug characteristics. (14) A goal-directed minimization strategy for sedation should be implemented. (15) The principle of analgesia must be mastered first. (16) Subjective assessment is preferred for analgesia assessment. (17) Opioid-based analgesic strategies should be selected step-by-step according to the characteristics of different drugs. (18) There must be rational use of non-opioid analgesics and non-drug-based analgesic measures. (19) Pay attention to evaluation of the psychological status of CIPs. (20) Cognitive function in CIPs cannot be ignored. (21) Delirium management should be based on non-drug-based measures and rational use of drugs. (22) Reset treatment can be considered for severe delirium. (23) Psychological assessment should be conducted as early as possible to screen-out high-risk groups with post-traumatic stress disorder. (24) Emotional support, flexible visiting, and environment management are important components of humanistic management in the intensive care unit (ICU). (25) Emotional support from medical teams and families should be promoted through"ICU diaries"and other forms. (26) Environmental management should be carried out by enriching environmental content, limiting environmental interference, and optimizing the environmental atmosphere. (27) Reasonable promotion of flexible visitation should be done on the basis of prevention of nosocomial infection. (28) ESCAPE is an excellent project for late stage of CC management.
Humans ; Consensus ; Critical Care/methods* ; Intensive Care Units ; Pain/drug therapy* ; Analgesics/therapeutic use* ; Delirium/therapy* ; Critical Illness