Liver cancer has high prevalence and mortality rates around the world， and its development and progression are closely associated with the interaction between the tumor microenvironment and tumor-associated macrophages （TAMs）. TAMs play a significant role in immune suppression， immune escape， cell proliferation， invasion， metastasis， and drug resistance in liver cancer. Traditional Chinese medicine （TCM）， with its unique therapeutic concepts and methods， has shown great potential in regulating TAMs and improving the prognosis of liver cancer. This article reviews the role and molecular mechanisms of TCM in regulating TAMs for the treatment of liver cancer， discusses the key role of TAMs in the progression of liver cancer， and analyzes the impact of Chinese medicinal components on the recruitment， polarization， and activity of TAMs and the expression of related factors based on TCM theory. Studies have shown that TCM can regulate the polarization state of TAMs， promote the formation of M1-type antitumor macrophages， and inhibit the activity of M2-type tumor macrophages， thereby playing a role in inhibiting the proliferation of liver cancer cells， promoting apoptosis， inhibiting angiogenesis， and enhancing immune response. In addition， this article also summarizes the molecular targets and mechanisms of action of TCM monomers， compound prescriptions， and novel preparations in the treatment of liver cancer， such as inhibiting the secretion of cytokines by TAMs， regulating signaling pathways， and affecting metabolic pathways， in order to provide a scientific basis for the application of TCM in liver cancer treatment and offer new ideas for immunotherapy for liver cancer.

This article combined the pathogenic characteristics of "latent wind" with the theory of collateral diseases to clarify the pathological features of tumor blood vessels， including their active proliferation， high permeabi-lity， and promotion of metastasis. The theory framework of "latent wind in collaterals" as the tumor mechanism was proposed， which suggests that at the site of tumor lesions， the collaterals inherit the nature of latent wind to grow excessively， adopt an open and discharge nature to leak essence， and tumor toxins， characterized by their rapid movement and frequent changes， spread and metastasize， driving the progression of malignant tumors. Focusing on the fundamental pathogenesis of "latent wind in collaterals"， specific clinical treatment principles and methods centered on treating wind are proposed， including regulating qi and dispelling wind， clearing heat and extinguishing wind， unblocking collaterals and expelling wind， and reinforcing healthy qi to calm wind， so as to provide references for enhancing the precision of traditional Chinese medicine in treating malignant tumors.

China is currently in an accelerated stage of population aging, and brain diseases pose a significant threat to the health of the elderly. " Preventing brain aging and maintaining brain health" has become a high-level goal of healthy aging. During the process of aging, the physiological and psychological states of elderly people change, making them prone to nervousness and exhaustion, which can disturb the brain spirit, damage the brain collaterals, and severely endanger brain health. Starting from the holistic view of cultivating both body and spirit in traditional Chinese medicine, based on the physical and mental characteristics of the elderly, this paper applies the concept and method of " relaxation and tranquility" in the protection of elderly brain health, focusing on maintaining relaxation and tranquility in both physical and mental aspects. Specific measures include emphasizing subjective consciousness, relaxing the heart and calming down; utilizing the daoyin method, relaxing the body and calming down, combining relaxation and tranquility, cultivating both body and spirit to prevent diseases and protect the brain, which enables the elderly to have a healthy mind and body, a sense of happiness and fulfillment, and to age gracefully. Simultaneously, advocating for tranquility is also called " respect" for relaxation, following nature to understand constant changes, and improving one′s ability to think positively in old age, in order to expand ideas for the protection of elderly brain health.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

Coronary microvascular dysfunction （CMD） is one of the important causes of myocardial ischemia and non-obstructive coronary artery ischemic symptoms. However， effective diagnostic methods and targeted treatment strategies for CMD are currently lacking. According to traditional Chinese medicine （TCM）， the comorbidity theory of "blood-vessel-cardiac collaterals" plays a central role throughout the entire development process of CMD. It suggests that in the clinical diagnosis and treatment of CMD， the treatment of blood， vessels， and cardiac collaterals should not be neglected. In light of this， insect medicines， known for their efficacy in promoting blood circulation， resolving stasis， and alleviating spasms， hold promise as a potential treatment for CMD. However， there is currently no research or summary on the use of insect medicines for the treatment of CMD. Therefore， this article took the comorbidity theory of "blood-vessel-cardiac collaterals" as the starting point and divided the pathogenesis of CMD into five evolution stages： Beginning in the blood （changes in blood components and hemorheology）， progressing in the vessels （atheromatous plaque formation and unstable plaques）， occurring in the cardiac collaterals （microvascular endothelial damage and microvascular constriction and spasms）， ending in the cardiac collaterals （microvascular remodeling）， and resulting in energy metabolism disorders throughout the process， so as to explore the pathogenesis and evolution of CMD. In addition， based on the modern pharmacological research on insect medicines， this article discussed the clinical application of insect medicines in the treatment of CMD from four aspects： Promoting blood circulation and removing blood stasis to relieve vessels' obstruction， relieving spasms to alleviate pain， combating poison with poison to disperse stagnation， and tonifying cardiac collaterals to nourish the heart， which aims to provide a theoretical basis for the use of TCM in treating CMD， broaden the scope of medication， and improve clinical efficacy.

Objective To investigate the imaging features of papillary tumor of the pineal region(PTPR).Methods The ima-ging data of 10 patients with PTPR confirmed by operation and pathology were analyzed retrospectively.Results All lesions were located in the posterior commissure area of the posterior inferior wall of the third ventricle.All lesions were heterogeneously hyper-intensity on T1WI and hyperintensity on T2WI.Multiple small cysts or microcapsules signal intensity were observed within the tumor.Of all 10 lesions,there were 9 lesions with high signal intensity within or at the edge of the lesion on T1WI.All lesions showed restricted diffusion.All 10 cases showed uneven and obvious enhancement patterns.Midbrain tectum was compressed and moved backward in 5 cases,moved downward in 2 cases,moved forward and downward in 1 case,and was not clearly displayed in other 2 cases.One case was disseminated and 1 case was hyperperfusion.There were all 10 cases with obstructive hydrocephalus and equal or slightly high density on CT imaging,and 4 cases with calcification.Conclusion Imaging characteristics of PTPR included the lesions centered on the posterior commissure,compressed tectum with backward and downward,multiple small cysts or micro-capsules components within the tumor,hyperintensity on T1WI,and uneven and obvious enhancement patterns.

Currently,electroencephalogram(EEG),functional near-infrared spectroscopy(fNIRS),and functional magnetic resonance imaging have been widely studied and applied to neuropsychiatric disorders.In recent years,the devices which can realize the simultaneous acquisition of EEG and fNIRS has been developed and gradually applied in the studies on neuropsychiatric disorders.The review provides an introduction of the techniques of synchronized detection and data analysis for EEG-fNIRS,summarizes the analysis methods and new findings of the recent studies of stroke,epilepsy,and other neuropsychiatric disorders using EEG-fNIRS,and also discusses the future research directions.

Purpose To explore the application value of combining 18F-FDG PET images with interpretable deep learning radiomics(IDLR)models in the differential diagnosis of primary Parkinson's disease(IPD)and atypical Parkinson's syndrome.Materials and Methods This cross-sectional study was conducted using the Parkinson's Disease PET Imaging Benchmark Database from Huashan Hospital,Fudan University from March 2015 to February 2023.A total of 330 Parkinson's disease patients underwent 18F-FDG PET imaging,both 18F-FDG PET imaging and clinical scale information were collected for all subjects.The study included two cohorts,a training group(n=270)and a testing group(n=60),with a total of 211 cases in the IPD group,59 cases in the progressive supranuclear palsy(PSP)group,and a group of 60 patients with multiple system atrophy(MSA).The clinical information between different groups were compared.An IDLR model was developed to extract feature indicators.Under the supervision of radiomics features,IDLR features were selected from the features collected by neural network extractors,and a binary support vector machine model was constructed for the selected features in images of in testing group.The constructed IDLR model,traditional radiomics model and standard uptake ratio model were separately used to calculate the performance metrics and area under curve values of deep learning models for pairwise classification between IPD/PSP/MSA groups.The study conducted independent classification and testing in two cohorts using 100 10-fold cross-validation tests.Brain-related regions of interest were displayed through feature mapping,using gradient weighted class activation maps to highlight and visualize the most relevant information in the brain.The output heatmaps of different disease groups were examined and compared with clinical diagnostic locations.Results The IDLR model showed promising results for differentiating between Parkinson's syndrome patients.It achieved the best classification performance and had the highest area under the curve values compared to other comparative models such as the standard uptake ratio model(Z=1.22-3.23,all P<0.05),and radiomics model(Z=1.31-2.96,all P<0.05).The area under the curve values for the IDLR model in differentiating MSA and IPD were 0.935 7,for MSA and PSP were 0.975 4,for IPD and PSP were 0.982 5 in the test set.The IDLR model also showed consistency between its filtered feature maps and the visualization of gradient-weighted class activation mapping slice thermal maps in the radiomics regions of interest.Conclusion The IDLR model has the potential for differential diagnosis between IPD and atypical Parkinson's syndrome in 18F-FDG PET images.