ObjectiveTo investigate the effects and potential mechanisms of morning and evening fasting on postprandial lipid responses, a post hoc analysis based on a crossover randomized controlled trial was conducted to assess the effects of different fasting strategies on postprandial lipid metabolism in community residents in Shanghai. MethodsA total of 23 participants took part in a randomized crossover trial involving two intervention days: morning fasting and evening fasting, with a washout period of 6 days between intervention days. Two-way analysis of variance was used to test the differences in total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the relative expression of circadian clock genes before and after the next meal under fasting. Wilcoxon rank sum tests were used to analyze the different metabolites between the two groups. Principal component analysis and Orthogonal partial least squares-discriminant analysis were conducted to evaluate the ability of metabolites to differentiate between morning fasting and evening fasting and identify the important differential metabolites. After adjusting for age, sex, and BMI, a partial correlation analysis was performed to identify metabolites associated with plasma lipids. In addition, important metabolites associated with plasma lipids were computed by pathway enrichment analysis. ResultsAfter evening fasting intervention, fasting TG level [(0.37±0.29) vs (0.27±0.18)] mmol·L^-1, fasting and postprandial change values in TC [(2.74±0.47) vs (2.51±0.27)] mmol·L^-1 and LDL-C [(1.32±0.38) vs (0.99±0.27)] mmol·L^-1 were significantly lower than those after morning fasting (P<0.05). While, change values of fasting LDL-C [(0.89±0.37) vs (1.14±0.37)] mmol·L^-1 and TG [(1.14±0.19) vs (1.28±0.17)] mmol·L^-1 were significantly higher than those after morning fasting intervention (P<0.05). After fasting intervention, the relative expression of AMPK, CRY1, CLOCK, MTNR1B, AANAT, and ASMT was correlated with the amount of plasma lipid changes (P<0.05). Specifically, CLOCK and AANAT were upregulated following evening fasting and downregulated after morning fasting. Among the 217 important differential metabolites, 111 were correlated with plasma lipids, and which were primarily enriched in the cysteine and methionine metabolism pathways (P<0.05). ConclusionCompared to morning fasting, evening fasting was more effective in improving postprandial lipid responses, indicating that an evening fasting window during intermittent fasting could be conducive to cardiovascular disease prevention in adults. Meanwhile, it is suggested that morning and evening fasting may affect lipid responses through circadian rhythm oscillations and the cysteine and methionine metabolism pathways.

ObjectiveTo investigate the effect and potential mechanism of caffeic acid （CA） on severe acute pancreatitis （SAP） induced by caerulein combined with lipopolysaccharide （LPS）， and to provide a basis for the research on novel drugs for the treatment of SAP. MethodsC57BL/6J mice， aged 6 weeks， were divided into control group， model group， CA group， and octreotide acetate （OA） group， with 6 mice in each group. The mice in the control group were given injection of normal saline， and those in the other groups were given intraperitoneal injection of caerulein combined with LPS to establish a mouse model of SAP. At 1 hour after the first injection of caerulein， the mice in the CA group and the OA group were given intraperitoneal injection of CA or subcutaneous injection of OA at an interval of 8 hours. The general status of the mice was observed after 24 hours of modeling， and serum， pancreas， lung， and colon samples were collected. HE staining was used to observe the histopathological changes of the pancreas and lungs， and the serum levels of α-amylase， lipase， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， alanine aminotransferase， aspartate aminotransferase， and creatinine were measured. RT-PCR was used to measure the expression of proinflammatory factors in the pancreas and lungs； myeloperoxidase （MPO） immunohistochemistry was used to observe the degree of neutrophil infiltration； Western blot was used to measure the activation of nuclear factor-kappa B （NF-κB） and the level of citrullinated histone H3 （CitH3）， a marker for the formation of neutrophil extracellular traps （NETs）， in the pancreas and lungs， as well as the expression level of ZO-1 in colon tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the Dunnett’s t-test was used for further comparison between two groups. ResultsCompared with the control group， the model group had severe injury in the pancreas and lungs and significant increases in the activity of serum α- amylase and lipase and the levels of the proinflammatory cytokines IL-6， interleukin-1β （IL-1β）， and TNF-α in serum and lung tissue （all P<0.05）， as well as significant increases in NF-κB activation， neutrophil infiltration， and the formation of NETs in the pancreas and lungs （all P<0.05）. Compared with the model group， the CA group had alleviated pathological injury of the pancreas and lungs and significant reductions in the activity of serum α-amylase and the levels of the proinflammatory cytokines IL-6， IL-1β， and TNF-α in serum and lung tissue （all P<0.05）， as well as significant reductions in NF-κB activation， neutrophil infiltration， and the formation of NETs in the pancreas and lungs （all P<0.05）. ConclusionCA can alleviate SAP induced by caerulein combined with LPS in mice， possibly by inhibiting neutrophil recruitment and the formation of NETs.

Exercise, as a non-pharmacological intervention, holds a pivotal role in metabolic regulation, neuroplasticity, and immune homeostasis maintenance. However, human exercise studies are constrained by ethical limitations in tissue sampling, especially for key organs such as muscles and the brain. Meanwhile, rodent models like mice exhibit physiological differences in exercise patterns and metabolic rates from human. Despite these challenges, approximately 70% of human and mouse genes are conserved, providing a molecular basis for cross-species comparisons. This paper leverages the GEPREP database, which integrates human and mouse exercise transcriptomic data from multiple platforms, to conduct a comprehensive cross-species analysis of exercise-induced gene expression patterns. We employ a stringent data standardization process, including the conversion of orthologous genes and the filtering of low-expressing genes, to ensure the accuracy and reliability of the analysis. A mixed-effects model is utilized to assess differential gene expression across multiple cohorts, identifying genes that are significantly upregulated or downregulated in response to exercise. The analysis reveals a complex pattern of gene expression, with a significant number of genes showing conserved responses between humans and mice, particularly in acute aerobic exercise, where genes such as ATF3, PPARGC1A, and ANKRD1 are commonly upregulated. These genes are implicated in muscle stress response, metabolic regulation, and muscle adaptation, highlighting the shared molecular pathways activated by exercise across species. However, the study also uncovers substantial species-specific differences in gene expression, especially in chronic aerobic exercise, where the number of divergently regulated genes increases. These differences suggest that while some fundamental biological processes are conserved, the specific regulatory mechanisms and gene expression patterns can vary significantly between humans and mice. Functional enrichment analysis further reveals that conserved genes are involved in muscle development, inflammation regulation, and energy metabolism, while species-specific genes are associated with ion transport, extracellular matrix (ECM) organization, and muscle contraction, indicating the multifaceted impact of exercise on skeletal muscle function. The findings emphasize the importance of considering species-specific differences when interpreting results from animal models and translating them to human health applications. The study highlights the need for a more nuanced understanding of the molecular underpinnings of exercise-induced adaptations and underscores the value of cross-species comparative analyses in uncovering the evolutionary and functional basis of these responses. Future research should focus on integrating multi-omics data and expanding the analysis to include other tissues to provide a more comprehensive view of the systemic effects of exercise. Additionally, the development of species-specific gene editing models and the validation of key genes in exercise physiology will further enhance our understanding of the evolutionary logic behind exercise interventions. This study not only provides valuable insights into the molecular mechanisms of exercise-induced adaptations but also underscores the necessity of validating findings from animal models in human cohorts to ensure the reliability and applicability of translational research in exercise science. By addressing these aspects, the study aims to bridge the gap between basic research and clinical applications, ultimately contributing to the development of personalized exercise prescriptions and interventions that can effectively promote health and prevent diseases.

The pathogenesis of neurodegenerative diseases (NDDs) is fundamentally linked to complex and profound alterations in metabolic networks within the brain, which exhibit marked spatial heterogeneity. While conventional bulk metabolomics is powerful for detecting global metabolic shifts, it inherently lacks spatial resolution. This methodological limitation hampers the ability to interrogate critical metabolic dysregulation within discrete anatomical brain regions and specific cellular microenvironments, thereby constraining a deeper understanding of the core pathological mechanisms that initiate and drive NDDs. To address this critical gap, spatial metabolomics, with mass spectrometry imaging (MSI) at its core, has emerged as a transformative approach. It uniquely overcomes the limitations of bulk methods by enabling high-resolution, simultaneous detection and precise localization of hundreds to thousands of endogenous molecules—including primary metabolites, complex lipids, neurotransmitters, neuropeptides, and essential metal ions—directly in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β‑protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.

Osteoporosis （OP） is a common bone disease affecting the quality of life and causing huge medical burden to the patients and society. The occurrence of OP is mainly caused by excessive bone resorption and insufficient bone formation， which are directly influenced by external calcium ion balance. Calcium imbalance can impair bone integrity， reduce the calcium supply to the bone， and lower the calcium content in the bone， thus triggering OP. Drugs are the main anti-OP therapy in modern medicine， which， however， may cause adverse reactions and drug dependence. Chinese medicines have good clinical effects and high safety in treating OP， being suitable for long-term use. Recent studies have shown that Chinese medicines can alleviate estrogen deficiency， regulate bone cell and calcium metabolism， which is crucial for the formation and development of OP. The transient receptor potential cation channel superfamily V members 5 and 6 （TRPV5 and TRPV6， respectively） affect bone homeostasis by mediating the transmembrane calcium ion transport in the intestine （TRPV6） and kidney （TRPV5）. Therefore， TRPV5/6 is one of the key targets to understand the anti-OP mechanisms of the effective parts of Chinese medicines， which is worthy of further study. This paper summarizes the research results about the anti-OP effects of Chinese medicines in the last two decades， especially the mechanism of regulating calcium metabolism， aiming to provide new ideas for the basic research， clinical application， and drug development of OP treatment.

BACKGROUND:With the right bio-inks,3D printing can be used to create replacements for human tissues and organs that work inside the body.In recent years,3D printing technology has developed rapidly and has great application potential in regenerative medicine. OBJECTIVE:To introduce the types of bio-inks for 3D printing,and review the classification,application,advantages and disadvantages of bio-inks,as well as the future vision. METHODS:With"3D printing,biological ink,tissue engineering,hydrogel,synthetic material,cytoactive factor"as search terms,relevant articles published on PubMed and CNKI databases from 2000 to 2022 were searched by computer and finally 83 articles were included for review. RESULTS AND CONCLUSION:3D bioprinting technology has developed rapidly over the past few decades and has received great attention in various fields,including tissue engineering and biomedicine.Compared with the limitations of traditional biological scaffold manufacturing methods in terms of function and structure,3D printing can better simulate the complex structure of biological tissues and has appropriate mechanical,rheological and biological characteristics.Bio-ink is an essential part of 3D printing.Bioscaffolds produced by printing bio-ink prepared by biological materials have great scientific potential and clinical significance in tissue repair and regenerative medicine.The research of the materials itself is also getting more and more attention from experts.Bio-inks for 3D printing come in a variety of materials,from natural to synthetic,to aggregations of cells that do not require any additional biomaterials,and their usefulness in practical use varies.In the future,more and more bio-inks will be developed for tissue engineering.It is necessary to analyze the printability of bio-inks through sufficient experimental simulation and equipment testing to meet the actual medical needs.

ObjectiveTo explore the effect and mechanism of Zhishi Xiebai Guizhitang on the progression of atherosclerosis （AS） mice based on the regulation of cholesterol metabolism in foam cells by transient receptor potential channel ankyrin 1 （TRPA1）. MethodThe AS model was established on apolipoprotein E knockout （ApoE^-/-） mice with a high-fat diet. The mice were randomly divided into low-dose， middle-dose， and high-dose groups of Zhishi Xiebai Guizhitang （2.97， 5.94， 11.88 g·kg^-1） and simvastatin group （0.002 g·kg^-1）， and the drug was administered along with a high-fat diet. C57BL/6J mice were fed an ordinary diet as a normal group. After the above process， the aorta and serum of mice were taken. The pathological changes of the aortic root were observed by hematoxylin-eosin （HE） staining. The lipid plaques in the aorta were observed by gross oil redness. Serum levels of total cholesterol （TC）， triglyceride （TG）， low density lipoprotein cholesterol （LDL-C）， and high density lipoprotein cholesterol （HDL-C） were detected， and the levels of interleukin-1β （IL-1β） and interleukin-18 （IL-18） were detected by enzyme-linked immunosorbent assay （ELISA）. Western blot and immunohistochemical method were used to analyze the expression of TRPA1， ATP-binding cassette transporter A1 （ABCA1）， ATP-binding cassette transporter G1 （ABCG1）， and mannose receptor （CD206）. ResultFrom the perspective of drug efficacy， compared with the normal group， pathological changes such as plaque， a large number of foam cells， and cholesterol crystals appeared in the aorta of the model group， and the serum levels of TC， LDL-C， IL-1β， and IL-18 were significantly increased （P<0.01）. The HDL-C level was significantly decreased （P<0.01）， and the CD206 level in aortic tissue was significantly decreased （P<0.01）. Compared with the model group， the lipid deposition in the aorta was alleviated in all drug administration groups. In addition， except for the high-dose group of Zhishi Xiebai Guizhitang， all drug administration groups could significantly decrease the levels of TC and LDL-C （P<0.01）. In terms of inflammation， except for the middle-dose group of Zhishi Xiebai Guizhitang， the levels of IL-1β and IL-18 were significantly decreased in all drug administration groups （P<0.05）. Moreover， Zhishi Xiebai Guizhitang could also up-regulate the levels of CD206， and the difference was significant in the middle-dose and high-dose groups （P<0.05）. From the perspective of mechanism， the expression levels of TRPA1， ABCA1， and ABCG1 in the aorta in the model group were lower than those in the normal group （P<0.05）. Compared with the model group， all drug administration groups significantly increased the expression of TRPA1 in the aorta （P<0.05）， and the expressions of ABCA1 and ABCG1 were increased. The differences in the middle-dose and high-dose groups and the simvastatin group were significant （P<0.05）， which was basically consistent with the trend of immunohistochemical results. ConclusionZhishi Xiebai Guizhitang can effectively reduce blood lipid and inflammation levels and inhibit the formation of aortic plaque. The mechanism may be explained as follows： the expressions of ABCA1 and ABCG1 downstream are increased through TRPA1， which promotes cholesterol outflow in foam cells， thereby regulating cholesterol metabolism， intervening in inflammation level to a certain extent， and finally treating AS.