1.Research and Application of Scalp Surface Laplacian Technique
Rui-Xin LUO ; Si-Ying GUO ; Xin-Yi LI ; Yu-He ZHAO ; Chun-Hou ZHENG ; Min-Peng XU ; Dong MING
Progress in Biochemistry and Biophysics 2025;52(2):425-438
Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.
2.Study on accumulation of polysaccharide and steroid components in Polyporus umbellatus infected by Armillaria spp.
Ming-shu YANG ; Yi-fei YIN ; Juan CHEN ; Bing LI ; Meng-yan HOU ; Chun-yan LENG ; Yong-mei XING ; Shun-xing GUO
Acta Pharmaceutica Sinica 2025;60(1):232-238
In view of the few studies on the influence of
3.Evidence-based research on the nutritional and health effects of functional components of tea
Zhijian HE ; Yuping LI ; Fan BU ; Jia CUI ; Xinwen BI ; Yuanjie CUI ; Zhiyuan GUO ; Ming LI
Shanghai Journal of Preventive Medicine 2025;37(2):190-198
As a traditional nutritional and healthy cash crop in China, tea has certain significance in promoting human health and preventing and controlling chronic diseases. Studies have shown that the nutritional health effect of tea is due to its rich functional components, mainly including tea polyphenols, tea pigments, tea polysaccharides, theanine, alkaloids and other bioactive substances. At present, researchers from the academic circles have continuously carried out animal and human experiments on the health effects of various functional components of tea, which has accumulated abundant research data and materials. Based on this, this article reviews the literature on the nutritional and health effects of the main functional components of tea, and adopts the method of evidence-based research to screen and extract relevant data for qualitative and quantitative meta-analysis. Subsequently, the nutritional health effects of the five functional components of tea, namely tea polyphenols, tea pigments, tea polysaccharides, theanine, and alkaloids, are summarized and outlined. Studies have shown that tea polyphenols, tea pigments, tea polysaccharides, theanine and alkaloids have different health effects and are expected to play their unique roles in promoting human health and preventing and controlling diseases.
4.Hepatocyte Nuclear Factor 4α Transcriptionally Activates TM4SF5 Through The DR1 Motif
Yi-Ming GUO ; Xiao-Fei ZHANG ; Han FENG ; Li ZHENG
Progress in Biochemistry and Biophysics 2025;52(5):1241-1251
ObjectiveHepatocyte nuclear factor 4-alpha (HNF4A) is a critical transcription factor in the liver and pancreas. Dysfunctions of HNF4A lead to maturity onset diabetes of the young 1 (MODY1). Notably, MODY1 patients with HNF4A pathogenic mutations exhibit decreased responses to arginine and reduced plasma triglyceride levels, but the mechanisms remain unclear. This study aims to investigate the potential target genes transcriptionally regulated by HNF4A and explore its role in these metabolic pathways. MethodsA stable 293T cell line expressing the HNF1A reporter was overexpressed with HNF4A. RNA sequencing (RNA-seq) was performed to analyze transcriptional differences. Transcription factor binding site prediction was then conducted to identify HNF4A binding motifs in the promoter regions of relevant target genes. ResultsRNA-seq results revealed a significant upregulation of transmembrane 4 L six family member 5 (TM4SF5) mRNA in HNF4A-overexpressing cells. Transcription factor binding predictions suggested the presence of five potential HNF4A binding motifs in the TM4SF5 promoter. Finally, we confirmed that the DR1 site in the -57 to -48 region of the TM4SF5 promoter is the key binding motif for HNF4A. ConclusionThis study identified TM4SF5 as a target gene of HNF4A and determined the key binding motif involved in its regulation. Given the role of TM4SF5 as an arginine sensor in mTOR signaling activation and triglyceride secretion, which closely aligns with phenotypes observed in MODY1 patients, our findings provide novel insights into the possible mechanisms by which HNF4A regulates triglyceride secretion in the liver and arginine-stimulated insulin secretion in the pancreas.
5.Effectiveness of Acupoint Application in Patients with Pharyngeal Pain: Evidence from CHUNBO, A Prospective Real-World Study.
Hang-Kun MA ; Yi-Ming WANG ; Man-Ping GUO ; Chen-Fei LI ; Rui LI ; Rui GAO
Chinese journal of integrative medicine 2024;30(1):18-24
OBJECTIVE:
To assess the outcomes after acupoint application in patients with pharyngeal pain in a real-world settings, and analyze the characteristics of effective population and prescription characteristics of acupoint application.
METHODS:
Based on CHUNBO platform, patients with pharyngeal pain who were candidates for acupoint application on the basis of physician-evaluation, were enrolled in a nationwide, prospective, 69-week multicenter observational study from August 2020 to February 2022. Propensity score matching (PSM) was used to match the confounding factors and the association rules were used to analyze the characteristics of effective population and prescription characteristics of acupoint application. Outcome assessments included the disappearance rate of pharyngeal pain (within 3, 7, and 14 days), disappearance time of pharyngeal pain, as well as adverse events.
RESULTS:
Of 7,699 enrolled participants, 6,693 (86.9%) received acupoint application and 1,450 (21.7%) with non-acupoint application. After PSM, there were 1,004 patients each in the application group (AG) and non-application group (NAG). The disappearance rate of pharyngeal pain in the AG at 3, 7, and 14 days were all higher than those in the NAG (P<0.05). The disappearance time of pharyngeal pain in the AG were shorter than that in the NAG (logrank P<0.001, hazard ratio=1.51, 95% confidence interval: 1.41-1.63). The median age of effective cases was 4 years, mainly 3-6 years old (40.21%). The disappearance rate of pharyngeal pain in the application group with tonsil diseases was 2.19 times higher than that in the NAG (P<0.05). The commonly used acupoints for the effective cases were Tiantu (RN 22), Shenque (RN 8) and Dazhui (DU 14). The commonly used herbs for the effective cases were Natrii sulfas, Radix et Rhizoma Rhei, and Herba Ephedrae. Among them, Natrii sulfas was applied to RN 8 most frequently (support 84.39%). A total of 1,324 (17.2%) patients experienced AEs, and mainly occurred in the AG, with significant difference in the incidence of AEs between goups (P<0.05). All AEs reported were the first grade, and the average regression days of AEs was 2.8 days.
CONCLUSIONS
Acupoint application in patients with pharyngeal pain resulted in improved effective rate and shortened duration, especially children aged 3-6 years old, and those with tonsil diseases. Acupoint of RN 22, RN 8 and DU 14, Natrii sulfas, Radix et Rhizoma Rhei, and Herba Ephedrae were the most commonly used herbs in the treatment of pharyngeal pain.
Child
;
Humans
;
Child, Preschool
;
Acupuncture Points
;
Medicine, Chinese Traditional/methods*
;
Prospective Studies
;
Pain
6.No Incidence of Liver Cancer Was Observed in A Retrospective Study of Patients with Aristolochic Acid Nephropathy.
Tao SU ; Zhi-E FANG ; Yu-Ming GUO ; Chun-Yu WANG ; Jia-Bo WANG ; Dong JI ; Zhao-Fang BAI ; Li YANG ; Xiao-He XIAO
Chinese journal of integrative medicine 2024;30(2):99-106
OBJECTIVE:
To assess the risk of aristolochic acid (AA)-associated cancer in patients with AA nephropathy (AAN).
METHODS:
A retrospective study was conducted on patients diagnosed with AAN at Peking University First Hospital from January 1997 to December 2014. Long-term surveillance and follow-up data were analyzed to investigate the influence of different factors on the prevalence of cancer. The primary endpoint was the incidence of liver cancer, and the secondary endpoint was the incidence of urinary cancer during 1 year after taking AA-containing medication to 2014.
RESULTS:
A total of 337 patients diagnosed with AAN were included in this study. From the initiation of taking AA to the termination of follow-up, 39 patients were diagnosed with cancer. No cases of liver cancer were observed throughout the entire follow-up period, with urinary cancer being the predominant type (34/39, 87.17%). Logistic regression analysis showed that age, follow-up period, and diabetes were potential risk factors, however, the dosage of the drug was not significantly associated with urinary cancer.
CONCLUSIONS
No cases of liver cancer were observed at the end of follow-up. However, a high prevalence of urinary cancer was observed in AAN patients. Establishing a direct causality between AA and HCC is challenging.
Humans
;
Retrospective Studies
;
Incidence
;
Carcinoma, Hepatocellular
;
Liver Neoplasms/epidemiology*
;
Kidney Diseases/chemically induced*
;
Aristolochic Acids/adverse effects*
7. Establishment of a rat model of myocardial hypertrophy by a modified abdominal aortic coarctation method
Yona-Ming HAO ; Han-Jun PEI ; Li LI ; Zhe ZHAO ; Lei GUO ; Cheng-Hui ZHOU
Acta Anatomica Sinica 2024;55(1):120-124
Objective To compare effectiveness between the modified and traditional pressure-overload myocardial hypertrophy(POMH) model by abdominal aorta coarctation (AAC) method. Methods Totally 45 rats were divided into three groups(n = 15 per group), sham group, traditional group, and modified group. In the traditional group, the diameter ol the abdominal aorta was narrowed to 0. 70 mm through a midline incision for 4 weeks; in the modified group, the diameter of the abdominal aorta was narrowed above the left kidney to 0. 45 mm for 1 week, and then the narrowing was lifted postoperatively. The cardiac index, heart weight (HW) /body weight (BW) and left ventricular index, left ventricular weight (LVW)/BW were measured from the heart specimens, and the cross-sectional area of cardiac myocytes, myocardial collagen area, and myocardial collagen area Iraction were measured in the pathological sections by HE staining and Masson staining. Results Compared with the sham group, the differences in end-systolic interventricular septum thickness (IVSs), left ventricular end-systolic posterior wall thickness (LVPWs), HW/BW, LVW/BW, cardiomyocyte cross-sectional area, myocardial collagen area, myocardial collagen area fraction, and brain natriuretic peptide (BNP) expression levels were statistically significant (P<0. 05) in the modilied and traditional groups of rats. The differences in these indices were not statistically significant between the modified and traditional groups (P>0. 05). Conclusion The modified abdominal aortic constriction method used in this experiment is time-saving, stable, homogeneous and easy to replicate, and is a more ideal approach to establish a rat model of POMH.
8.Visualization Analysis of Artificial Intelligence Literature in Forensic Research
Yi-Ming DONG ; Chun-Mei ZHAO ; Nian-Nian CHEN ; Li LUO ; Zhan-Peng LI ; Li-Kai WANG ; Xiao-Qian LI ; Ting-Gan REN ; Cai-Rong GAO ; Xiang-Jie GUO
Journal of Forensic Medicine 2024;40(1):1-14
Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.
9.Correlation between the lateral and anteroposterior sacral ratios in anorectal malformation
Aijie YAO ; Chong XUN ; Bin GUO ; Shu LI ; Ming YANG
Journal of Practical Radiology 2024;40(4):625-628
Objective To determine the correlation and agreement of sacral ratio(SR)measured by lateral and anteroposterior radiographs in patients with anorectal malformation(ARM).Methods A retrospective analysis was conducted on the anteroposterior and lateral radiographs images of the sacral vertebrae of patients with ARM.All SR values were measured by three radiologists.Pearson's correlation coefficient were used to assess the correlation between the SR measured by lateral and anteroposterior radiographs.A weighted Kappa statistic was used to measure the agreement between how the anteroposterior and lateral SR categorized observations into risk groups.Results Of the 385 ARM patients,25 patients whose radiographs image quality was insufficient to calculate SR value were excluded.For a given pair of measurements,the mean lateral SR value was 0.08 units greater than the anteroposterior SR value[95%confidence interval(CI)0.06-0.09,P<0.01].Anteroposterior and lateral images had a moderate positive correlation(r=0.79,95%CI 0.73-0.79,P<0.01)and moderate agreement in risk categorization(Kappa=0.62,P<0.01).Anteroposterior and lateral readings conducted by all three radiologists had excellent inter-rater reliability with intraclass correlation coefficient(ICC)for anteroposterior and lateral SR of 0.88 and 0.84,respectively.Conclusion Even though the anteroposterior and lateral SR values have moderate positive correlation,the mean SR value determined by images in the lateral is 0.08 units greater than the anteroposterior.Anteroposterior and lateral SR value conclude different risk categories relatively often.The SR values measured by lateral sacral radiographs are more clinically significant than those measured by anteroposterior radiographs.
10.Longitudinal extrauterine growth restriction in extremely preterm infants: current status and prediction model
Xiaofang HUANG ; Qi FENG ; Shuaijun LI ; Xiuying TIAN ; Yong JI ; Ying ZHOU ; Bo TIAN ; Yuemei LI ; Wei GUO ; Shufen ZHAI ; Haiying HE ; Xia LIU ; Rongxiu ZHENG ; Shasha FAN ; Li MA ; Hongyun WANG ; Xiaoying WANG ; Shanyamei HUANG ; Jinyu LI ; Hua XIE ; Xiaoxiang LI ; Pingping ZHANG ; Hua MEI ; Yanju HU ; Ming YANG ; Lu CHEN ; Yajing LI ; Xiaohong GU ; Shengshun QUE ; Xiaoxian YAN ; Haijuan WANG ; Lixia SUN ; Liang ZHANG ; Jiuye GUO
Chinese Journal of Neonatology 2024;39(3):136-144
Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

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