The paper reviews systematically Professor FU Wenbin's academic thinking and clinical experience of integrative acupuncture-moxibustion therapy for cranial tinnitus. Professor FU believes that cranial tinnitus refers to psychosomatic comorbidity. This disease is associated mainly with the brain and liver in terms of the disease location. In pathogenesis, the dysfunction of qi movement, disharmony of internal organs and unhealthy conditions of body and mind are involved. In treatment, based on psychosomatic medicine, from the perspective of the integration of body and mind, and in line with the mode of the integrative acupuncture-moxibustion therapy, holistic regimens are used, including acupuncture, moxibustion, auricular acupuncture, etc. to consolidate the therapeutic effect of "tranquilizing the mind and relieving tinnitus".
Humans ; Tinnitus/psychology* ; Acupuncture Therapy ; Moxibustion ; Psychosomatic Medicine

Heart rate variability time and frequency indices are widely used in functional assessment for autonomic nervous system (ANS). However, this method merely analyzes the effect of cardiac dynamics, overlooking the effect of cardio-pulmonary interplays. Given this, the present study proposes a novel cardiopulmonary coupling (CPC) algorithm based on cross-wavelet transform to quantify cardio-pulmonary interactions, and establish an assessment system for ANS aging effects using wearable electrocardiogram (ECG) and respiratory monitoring devices. To validate the superiority of the proposed method under nonstationary and low signal-to-noise ratio conditions, simulations were first conducted to demonstrate the performance strength of the proposed method to the traditional one. Next, the proposed CPC algorithm was applied to analyze cardiac and respiratory data from both elderly and young populations, revealing that young populations exhibited significantly stronger couplings in the high-frequency band compared with their elderly counterparts. Finally, a CPC assessment system was constructed by integrating wearable devices, and additional recordings from both elderly and young populations were collected by using the system, completing the validation and application of the aging effect assessment algorithm and the wearable system. In conclusion, this study may offers methodological and system support for assessing the aging effects on the ANS.
Humans ; Autonomic Nervous System/physiology* ; Algorithms ; Aging/physiology* ; Electrocardiography/methods* ; Heart Rate/physiology* ; Wavelet Analysis ; Aged ; Signal Processing, Computer-Assisted ; Wearable Electronic Devices

Coronavirus-related diseases pose a significant challenge to the global health system. Given the diversity of coronaviruses and the unpredictable nature of disease outbreaks, the traditional "one bug, one drug" paradigm struggles to address the growing number of emerging crises. Therefore, there is an urgent need for therapeutic agents with broad-spectrum anti-coronavirus activity. Here, we provide evidence that ATV006, an anti-SARS-CoV-2 nucleoside analog targeting RNA-dependent RNA polymerase (RdRp), has broad antiviral activity against human and animal coronaviruses. Using mouse hepatitis virus (MHV) and human coronavirus NL63 (HCoV-NL63) as a model, we show that ATV006 has potent prophylactic and therapeutic activity against murine coronavirus infection in vivo. Remarkably, ATV006 successfully inhibits viral replication in mice even when administered 96 h after infection. Due to its oral bioavailability and potency against multiple coronaviruses, ATV006 has the potential to become a useful antiviral agent against SARS-CoV-2 and other circulating and emerging coronaviruses in humans and animals.

Objective:To investigate the correlation between non-Hodgkin lymphoma (NHL) and chronic hepatitis B virus (HBV) infection by using the method of two-sample bidirectional Mendelian randomization (MR) analysis.Methods:Genetic variation data for NHL came from the Finnish database (FinnGen) Consortium 2021 public genome-wide association study (GWAS) dataset including 1 088 patients with NHL and 299 952 control subjects. The GWAS dataset for chronic HBV infection was derived from GWAS analysis published in 2021, including 145 NHL patients and 351 740 control subjects. NHL was used as an exposure factor, single nucleotide polymorphism (SNP) significantly associated with NHL was used as an instrumental variable (IV), chronic HBV infection was used as an outcome variable. The two-sample MR analysis was performed by using inverse-variance weighted (IVW) method. Chronic HBV infection was taken as an exposure factor, SNP significantly associated with chronic HBV infection was taken as IV, and NHL was taken as outcome variable, and then reverse two-sample MR analysis was performed. The IVW method used the inverse variance of each IV as the weight to fit, and the ratio method was used to measure SNP one by one and make weighted regression analysis, so as to obtain the overall estimate. MR-Egger regression and the weighted median (WME) method were also used to supplement the IVW method. In sensitivity analysis, leave-one-out sensitivity analysis was used to evaluate the impact of a single SNP. Cochran Q test was used to analyze the heterogeneity of the selected IV. MR-Egger regression was used to measure the average horizontal pleiotropy of IV, and the P-value of directivity was calculated. The MR-pleiotropy residual sum and outlier (MR-PRESSO) Global Test was used to exclude possible horizontal pleiotropic outliers and reduce bias. Results:In the leave-one-out sensitivity analysis, SNP with significant effects on causal associations was excluded. In forward MR analysis, IVs were 10 SNPs associated with NHL; the IVW method indicated that there was no causal association between NHL and chronic HBV infection ( OR = 0.979, 95% CI: 0.925-1.036, P = 0.465). MR-Egger regression ( OR = 0.992, 95% CI: 0.926-1.062, P = 0.825) and WME method ( OR = 0.992, 95% CI: 0.934-1.055, P = 0.805) were used as supplementary methods to obtain the consistent results. In sensitivity analysis, Cochran Q test showed no heterogeneity among IVs (IVW method: P = 0.271, MR-Egger regression: P = 0.239). Horizontal pleiotropy was not found in the MR-Egger regression (intercept was -0.01, P = 0.778) and the MR-PRESSO Global Test ( P > 0.05), suggesting robust results. In the reverse MR analysis, IVs were 8 SNPs associated with NHL; the IVW method ( OR = 1.117, 95% CI: 0.942-1.324, P = 0.202) also found no significant causal relationship between chronic HBV infection and NHL; MR-Egger regression ( OR = 0.777, 95% CI: 0.450-1.343, P = 0.401) and WME method ( OR = 1.120, 95% CI: 0.887-1.415, P = 0.351) also showed similar risk estimates. Sensitivity analysis also suggested the consistency and reliability of the results. Cochran Q test showed no heterogeneity among IVs (IVW method: P = 0.775, MR-Egger regression: P = 0.903). Horizontal pleiotropy was not found by MR-Egger regression (intercept was 0.102, P = 0.548) and MR-PRESSO Global Test ( P > 0.05). Conclusions:MR analysis suggests no causal relationship between NHL and chronic HBV infection.

Objective:To investigate the changes in interaction proteome of NUS1 mutant R290C and their relations with pathogenicity of Lennox Gastaut syndrome (LGS). Methods:The wild-type and mutant NUS1(R290C) plasmids were constructed and transfected into human embryonic kidney HEK293T cells; 48 h after that, NUS1 protein expression in HEK293T cells was detected by Western blotting. Co-immunoprecipitation, silver nitrate staining, and proteomic analysis were used to analyze the proteins interacted with wild-type or mutant NUS1 and identify the differential interacting proteins. Enrichment analyses of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed to annotate the molecular function and signaling pathways involved in the differential proteins. DisGeNet database was used to analyze the association between differential proteins and human diseases. Protein-protein interaction (PPI) was used to analyze the interaction network of NUS1 with protein folding regulatory proteins (RTN4 and DHDDS) and developmental epileptic encephalopathy related proteins.Results:(1) There was no significant difference in NUS1 protein expression between the wild-type and mutant NUS1 transfected HEK293T cells ( t=0.536, P=0.620). (2) Compared with that with wild-type NUS1 plasmid, number of proteins interacting with mutant NUS1 plasmid was significantly reduced in the transfected cells; 310 differential interacting proteins were screened in the mutant NUS1. (3) GO and KEGG enrichment analyses showed that the differential proteins were mainly involved in protein folding reaction and translation regulation. (4) DisGeNet association analysis showed that the two most relevant proteins in the differential interacting proteins were associated with frontotemporal dementia and developmental epileptic encephalopathy. (5) PPI analysis showed that NUS1 may be involved in occurrence of neurological diseases such as LGS by affecting protein folding signaling pathways. Conclusion:NUS1 mutant R290C alters its interacting protein lineage and mediates the development of LGS and other neurological diseases probably by regulating protein folding-related signaling.

With the development of population aging, the incidence of lower limb artery ischemic diseases is gradually increasing. Although various treatments such as medication and endovascular surgery are currently available, patients with compromised microcirculation in the distal limbs and poor outflow pathways often do not achieve satisfactory results. Additionally, these treatments can be costly, and long-term patency rates are not ideal. The amendment in situ autologous great saphenous vein arterialization surgery utilizes the patient′s great saphenous vein to provide arterial blood in a retrograde manner and re-establishes blood supply to the tissues through the venous microcirculation system in the distal foot. This approach can achieve good limb salvage results and long-term patency. Therefore, this article aims to elaborate on the methods and value of amendment in situ autologous great saphenous vein arterialization surgery.

Humans ; Data Warehousing ; East Asian People ; Intracranial Hemorrhages/diagnostic imaging* ; Asian People ; Cerebral Hemorrhage/diagnostic imaging*

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers

Objective:To investigate the relationship between pancreatic fibrotic marker transforming growth factor-β(TGF-β) and platelet derived growth factor-BB(PDGF-BB) and serum glycated hemoglobin (HbA1c) levels in patients with type 3c diabetes mellitus secondary to chronic pancreatitis(CP-T3cDM).Methods:The clinical data of 39 patients with CP-T3cDM admitted to the Department of Gastroenterology of the First Affiliated Hospital of Naval Medical University between February 2018 and August 2020 were collected, and the patients' age, gender, body mass index, duration of chronic pancreatitis and diabetes mellitus, smoking history, alcohol consumption history, serum HbA1c level at admission, degree of pancreatic atrophy, morphology of the main pancreatic duct, and treatment of diabetes mellitus were recorded. Serum TGF-β and PDGF-BB were detected by ELISA. Patients were divided into high and low level group according to the median TGF-β and PDGF-BB levels, respectively. Clinical characteristics of patients were compared between the TGF-β and PDGF-BB high and low level group. The correlation between TGF-β, PDGF-BB and HbA1c was analyzed by Spearman's correlation analysis.Results:A total of 39 CP-T3cDM patients were included; 35 were male and 4 were female. The age of first onset of chronic pancreatitis was (42±14) years old, and the duration of diabetes mellitus was 24(4, 36) months. The serum HbA1c level was (7.8±1.6)%, and the serum TGF-β and PDGF-BB levels were 20.5(10.5, 43.1) and 647.5(276.9, 1349.2)pg/ml, respectively. The serum HbA1c levels of patients in the high-level group of serum TGF-β and PDGF-BB were significantly higher than those in the corresponding low-level group [8.6%(7.4%, 9.9%) vs 6.7%(6.2%, 7.8%) and 8.6%(7.4%, 9.6%) vs 6.7%(6.1%, 7.8%), respectively] , and the difference was statistically different (both P value <0.01), while none of other indicators showed statistically significant differences between both groups. The correlation analysis showed that the levels of TGF-β and PDGF-BB were significantly positively correlated with HbA1c level ( r=0.45, 0.53, both P value <0.01). Conclusions:Increased pancreatic fibrosis in patients with CP-T3cDM was an important factor contributing to elevated blood glucose level. Patients with higher serum pancreatic fibrotic factors exhibited a significant increase in HbA1c level.