To summarize the clinical experience of Professor WANG Jie in treating palpitation using the method of tonifying the kidneys and invigorating blood. It is believed that kidney yang deficiency and heart vessel stasis are the key pathogenesis of palpitation， and it is advocated to treat palpitation by tonifying the kidney and invigorating the blood. Meanwhile，the methods of draining water， dissolving phlegm， and fortifying the spleen to supplement the blood should be applied. For palpitation with kidney yang deficiency and heart vessel stasis with upward water， the treatment could use self-prescribed Bushen Huoxue Lishui Formula （补肾活血利水方）； for palpitation with phlegm obstruction in blood vessel， the treatment could use self-prescribed Bushen Huoxue Huatan Formula （补肾活血化痰方）； for palpitation with spleen yang deficiency， the treatment could use self-prescribed Bushen Huoxue Jianpi Formula （补肾活血健脾方）.

Osteoarthritis(OA)is a common joint disease in clinical practice,and cartilage damage is a typical pathological change.The pathogenesis of OA is complex,and various adverse factors can lead to the occurrence of OA.Mitochondria are im-portant organelles within cells and play important roles in cellular physiological and pathological activ-ities.Mitochondrial quality control is an important regulatory mechanism in the body to maintain nor-mal mitochondrial structure and function,mainly including mitochondrial biogenesis,mitochondrial dynamics,mitochondrial autophagy,mitochondrial oxidative stress,and other forms.The imbalance of mitochondrial quality control in chondrocytes is closely related to the occurrence and development of osteoarthritis,and regulating the balance of mi-tochondrial quality control is a potential therapeu-tic point for osteoarthritis.The author reviewed rel-evant research literature in recent years to provide a review of the relationship between mitochondrial quality control and the occurrence and develop-ment of osteoarthritis,in order to provide new ideas and directions for the research and diagnosis and treatment strategies of osteoarthritis.

Objective:To assess iodine nutritional status and the prevalence of thyroid dysfunction in Kunming, Yunnan Province, along with correlation and risk factors between thyroid dysfunction and urinary iodine levels.Methods:This cross-sectional study was conducted from January 2014 to July 2016 using a multi-stage, stratified cluster sampling method. A total of 2 650 residents of Kunming, Yunnan Province, who met the inclusion criteria were selected. Data on participants′ demographics, physical measurements, and laboratory tests were collected through questionnaire and clinical assessments which led to 1 463 subjects in the final analysis considering missing data. Statistical analysis were performed using SPSS 26.0, while R Studio was used to model the nonlinear relationship between urinary iodine levels and the risk of thyroid dysfunction.Results:(1) Among 2 650 subjects, 755(28.5%) were diagnosed with thyroid dysfunction, with incidence rates of clinical hyperthyroidism(0.83%), subclinical hyperthyroidism(0.38%), clinical hypothyroidism(1.36%), subclinical hypothyroidism(17.66%), and isolated thyroid antibody positive(13.85%). The median urinary iodine concentration was 177.49(123.59, 251.85) μg/L, indicating adequate iodine nutritional. (2)Among the 1 463 subjects analyzed, significant differences in urinary iodine were found between healthy individual group and abnormal TSH group or abnormal TSH group and thyroid antibody positive group( H=-83.437, P=0.003; H=107.489, P=0.003). Logistic regression revealed that rural residents had a lower risk of thyroid dysfunction than urban residents( OR=0.429, 95% CI 0.256-0.717, P=0.001). Risk of thyroid disease increased with age, and TSH, thyroid peroxidase antibody(TPOAb), thyroglobulin antibody(TgAb), and urinary iodine levels were identified as significant risk factors, with a U-shaped relationship between urinary iodine levels and thyroid dysfunction. Conclusions:The prevalence of thyroid dysfunction in Kunming is comparable to the national average. The relationship between urinary iodine concentration and thyroid dysfunction follows a U-shaped curve. Factors including region, age, TSH, TPOAb, TgAb, and urinary iodine concentration are associated with thyroid dysfunction.

Radiotherapy can cause varying degrees of damage to surrounding normal tissues while treating tumors. In recent years, single-cell RNA sequencing (scRNA-Seq), an emerging technology in modern biology, has gradually played a significant role in research on radiation-induced injuries. Researchers have delved into a variety of radiation-induced brain injuries, including radiation-induced brain injury (RIBI), cardiovascular injury, lung injury, intestinal injury, skin injury, and hematopoietic injury. Their studies provide novel perspectives for revealing the mechanisms behind radiation-induced injuries, assessing the degree of injury, and exploring potential therapies. This study reviews the advances in the application of scRNA-seq to research on radiation-induced injuries.

Objective:To establish a mouse model of liver cancer resistant to PD-1 monoclonal antibody and analyze the changes in its metabolomics to explore the potential mechanism of drug resistance.Methods:BALB/c mice were randomly divided into control and treatment groups after being loaded with tumor,and a normal group was additionally set up.The normal and control groups were injected with saline,and the treatment group was injected with PD-1 monoclonal antibody,after which the mice in the treatment group were screened for drug resistant and response groups.Observed the drug-resistant situation,body mass,tumor growth and survival rate of mice in each group,calculate the spleen index.The pathological features of tumor tissues were observed by HE staining method.Serum metabolites were detected by non-targeted metabolomics.Finally,a bivariate Pearson correlation analysis was conducted between the differential serum metabolites and tumor size.Results:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established,and the drug resistance rate of the mice was 50％.Compared with the normal and response groups,mice in the resistant group showed an increase in body weight,a significant increase in tumor volume,a decrease in survival rate,and a significant increase in splenic index.There was less lymphocyte infiltration in the tumor tissue.Metabolomics analysis showed that the serum levels of glutamic acid and aspartic acid increased and malic acid decreased in the resistant mice compared with the response group,and these changes were closely related to the arginine biosynthesis pathway.Conclusions:The tumor-bearing mouse model with PD-1 monoclonal antibody resistance was successfully established.The changes in its peripheral serum metabolomics mainly involve arginine metabolism and the related changes of aspartate,malate and glutamate.

Osteoarthritis(OA)is a common joint disease in clinical practice,and cartilage damage is a typical pathological change.The pathogenesis of OA is complex,and various adverse factors can lead to the occurrence of OA.Mitochondria are im-portant organelles within cells and play important roles in cellular physiological and pathological activ-ities.Mitochondrial quality control is an important regulatory mechanism in the body to maintain nor-mal mitochondrial structure and function,mainly including mitochondrial biogenesis,mitochondrial dynamics,mitochondrial autophagy,mitochondrial oxidative stress,and other forms.The imbalance of mitochondrial quality control in chondrocytes is closely related to the occurrence and development of osteoarthritis,and regulating the balance of mi-tochondrial quality control is a potential therapeu-tic point for osteoarthritis.The author reviewed rel-evant research literature in recent years to provide a review of the relationship between mitochondrial quality control and the occurrence and develop-ment of osteoarthritis,in order to provide new ideas and directions for the research and diagnosis and treatment strategies of osteoarthritis.

AIM To prepare the borneol-menthol eutectic mixture-loaded nanoemulsion gel of tetramethylpyrazine.METHODS The equilibrium solubilities of tetramethylpyrazine in different oil phases,emulsifiers and co-emulsifiers were determined,after which compatibility experiment was performed,and pseudo-ternary phase diagram was drawn.With Km value,oil phase proportion and water phase consumption as influencing factors,particle size,PDI and saturated drug loading as evaluation indices,the formulation was optimized by central composite design-response surface method.The drug-loaded nanoemulsion was dispersed into carbomer 940 gel matrix to prepare nanoemulsion gel,then the physicochemical properties,in vitro drug release and transdermal absorption properties were investigated.RESULTS The optimal formulation was determined to be 3.31∶6.16∶1.56∶88.97 for eutectic mixture-EL-40-1,2-propylene glycol-water ratio,the particle size,PDI and saturated drug loading were 37.85 nm,23.04 and 5.82 mg/g,respectively.The obtained white,semi-solid nanoemulsion gel demonstrated the average pH value and viscosity of 6.68±0.07 and(289.69±1.06)mPa·s,respectively,whose in vitro drug release accorded with Higuchi equation,and the accumulative permeability per unit area was(2 048.23±55.6)μg/cm2 within 24 h,which were 3.72 and 1.21 times higher than those of hydrogel and aqueous solution,respectively.CONCLUSION The borneol-menthol eutectic mixture-loaded nanoemulsion gel of tetramethylpyrazine meets preparation requirements,thus can achieve the effective transdermal delivery of raw medicine.

Radiotherapy can cause varying degrees of damage to surrounding normal tissues while treating tumors. In recent years, single-cell RNA sequencing (scRNA-Seq), an emerging technology in modern biology, has gradually played a significant role in research on radiation-induced injuries. Researchers have delved into a variety of radiation-induced brain injuries, including radiation-induced brain injury (RIBI), cardiovascular injury, lung injury, intestinal injury, skin injury, and hematopoietic injury. Their studies provide novel perspectives for revealing the mechanisms behind radiation-induced injuries, assessing the degree of injury, and exploring potential therapies. This study reviews the advances in the application of scRNA-seq to research on radiation-induced injuries.

ObjectiveIn nature, objects cast shadows due to illumination, forming the basis for stereoscopic perception. Birds need to adapt to changes in lighting (meaning they can recognize stereoscopic shapes even when shadows look different) to accurately perceive different three-dimensional forms. However, how neurons in the key visual brain area in birds handle these lighting changes remains largely unreported. In this study, pigeons (Columba livia) were used as subjects to investigate how neurons in pigeon’s ventrolateral mesopallium (MVL) represent stereoscopic shapes consistently, regardless of changes in lighting. MethodsVisual cognitive training combined with neuronal recording was employed. Pigeons were first trained to discriminate different stereoscopic shapes (concave/convex). We then tested whether and how light luminance angle and surface appearance of the stereoscopic shapes affect their recognition accuracy, and further verify whether the results rely on specify luminance color. Simultaneously, neuronal firing activity of neurons was recorded with multiple electrode array implanted from the MVL during the presentation of difference shapes. The response was finally analyzed how selectively they responded to different stereoscopic shapes and whether their selectivity was affected by the changes of luminance condition (like lighting angle) or surface look. Support vector machine (SVM) models were trained on neuronal population responses recorded under one condition (light luminance angle of 45°) and used to decode responses under other conditions (light luminance angle of 135°, 225°, 315°) to verify the invariance of responses to different luminance conditions. ResultsBehavioral results from 6 pigeons consistently showed that the pigeons could reliably identify the core 3D shape (over 80% accuracy), and this ability wasn’t affected by changes in light angle or surface appearance. Statistical analysis of 88 recorded neurons from 6 pigeons revealed that 83% (73/88) showed strong selectivity for specific 3D shapes (selectivity index>0.3), and responses to convex shapes were consistently stronger than to concave shapes. These shape-selective responses remained stable across changes in light angle and surface appearance. Neural patterns were consistent under both blue and orange lighting. The decoding accuracy achieves above 70%, suggesting stable responses under different conditions (e.g., different lighting angles or surface appearance). ConclusionNeurons in the pigeon MVL maintain a consistent neural encoding pattern for different stereoscopic shapes, unaffected by illumination or surface appearance. This ensures stable object recognition by pigeons in changing visual environments. Our findings provide new physiological evidence for understanding how birds achieve stable perception (“invariant neural representations”) while coping with variations in the visual field.

Delirium is a common cause and complication of hospitalization in the elderly and is associated with higher risk of future dementia and progression of existing dementia, of which 70% is Alzheimer's disease (AD). AD and delirium, which are known to be aggravated by one another, represent significant societal challenges, especially in light of the absence of effective treatments. The intricate biological mechanisms have led to numerous clinical trial setbacks and likely contribute to the limited efficacy of existing therapeutics. Artificial intelligence (AI) presents a promising avenue for overcoming these hurdles by deploying algorithms to uncover hidden patterns across diverse data types. This review explores the pivotal role of AI in revolutionizing drug discovery for AD and delirium from target identification to the development of small molecule and protein-based therapies. Recent advances in deep learning, particularly in accurate protein structure prediction, are facilitating novel approaches to drug design and expediting the discovery pipeline for biological and small molecule therapeutics. This review concludes with an appraisal of current achievements and limitations, and touches on prospects for the use of AI in advancing drug discovery in AD and delirium, emphasizing its transformative potential in addressing these two and possibly other neurodegenerative conditions.