ObjectiveTo investigate the effect and underlying mechanism of the Wulao Qisun prescription on pathological new bone formation in ankylosing spondylitis （AS）. MethodsSynovial fibroblasts were isolated from the hip joints of AS patients and observed under a microscope to assess cell morphology. The cells were identified using immunofluorescence staining. The isolated AS fibroblasts were divided into blank group， low drug-containing serum group， medium drug-containing serum group， high drug-containing serum group， and positive drug group. After drug intervention， cell proliferation was measured using the cell counting kit-8 （CCK-8） assay to observe fibroblast growth and determine the optimal intervention time. Alkaline phosphatase （ALP） activity was measured using the alkaline phosphatase assay. Protein expression of osteocalcin （OCN）， osteopontin （OPN）， and runt-related transcription factor 2 （Runx2） was detected by Western blot. The mRNA expression levels of Wnt5a， β-catenin， and Dickkopf-1 （DKK-1） were measured by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， each drug-containing serum group of Wulao Qisun prescription and the positive drug group inhibited the proliferation of AS fibroblasts and reduced ALP expression （P<0.01）. Compared with the blank group， the low drug-containing serum group of Wulao Qisun prescription downregulated β-catenin mRNA expression （P<0.05）. The medium and high drug-containing serum groups and the positive drug group significantly downregulated Wnt5a and β-catenin mRNA expression （P<0.05， P<0.01）， with the positive drug group showing the most pronounced effect （P<0.01）. The high drug-containing serum group and the positive drug group significantly upregulated DKK-1 mRNA expression （P<0.01）. Compared with the blank group， the low drug-containing serum group of Wulao Qisun prescription inhibited the expression of OPN and Runx2 proteins （P<0.05， P<0.01）， while the medium and high drug-containing serum groups and the positive drug group inhibited the expression of OCN， OPN， and Runx2 proteins （P<0.05， P<0.01）. ConclusionThe Wulao Qisun prescription can inhibit the proliferation and osteogenic differentiation of AS fibroblasts， thereby delaying the formation of pathological new bone in AS. The possible mechanism involves the regulation of Wnt/β-catenin-related gene expression， further inhibiting the transcription of downstream target genes.

Objective To investigate the impact of dietary protein intake on the prevalence of type 2 diabetes in adult residents, and to provide a reference for formulating diabetes prevention and control measures. Methods The research was based on cross-sectional survey data from the Nutrition and Health Follow-up Study of Chinese Residents in Chongqing (2021). Energy and nutrient intake was calculated in combination with the Chinese food composition table. Multivariate logistic regression was used to analyze the association between dietary protein and diabetes, and then restricted cubic spline regression (RCS) was used to analyze the dose-response relationship between dietary protein intake and the development of diabetes. Results Among the 1 415 adult residents, dietary intake of total protein, animal protein, and plant protein was 69.69g/d, 26.26g/d, and 43.43g/d, respectively. The ratio of protein to energy supply was 14.31%, and the prevalence of diabetes was 18.02%. Comparing with the residents in the first percentile of total dietary protein intake, the multivariable-adjusted odds ratios of those in the second and third percentile were 1.754 and 2.453 respectively. Comparing the residents in the third percentile with those in the first percentile, the multivariable-adjusted odds ratios of diabetes were 1.592 for protein energy supply ratio, and 1.558 for animal protein intake. Conclusion High protein intake, high protein energy supply ratio and high animal protein intake may increase the risk of diabetes, and different types of protein may have different effects on diabetes.

AIM: To investigate the correlation of the expression of stromal cell-derived factor-1(SDF-1)and angiopoietin like protein 4(ANGPTL4)in serum with the severity of disease in patients with diabetic macular edema(DME).METHODS: From April 2020 to August 2023, 193 patients with diabetic retinopathy who were admitted to our hospital were prospectively separated into DME group(128 cases)(56 cases in mild group, 44 cases in moderate group, 28 cases in severe group)and non DME group(65 cases)according to whether the patients had macular edema and the severity of disease. Enzyme-linked immunosorbent assay(ELISA)was applied to determine the levels of ANGPTL4 and SDF-1 in serum. Multivariate Logistic regression was applied to analyze the factors that affected the severity of DME; receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of ANGPTL4 and SDF-1 levels in serum of DME patients for the severity of DME.RESULTS: The levels of ANGPTL4 and SDF-1 in serum of the DME group were obviously higher than those of the non DME group(P<0.01); the expression levels of ANGPTL4 and SDF-1 in serum of the mild, moderate, and severe groups increased obviously in sequence(P<0.05); multivariate Logistic regression analysis showed that the levels of ANGPTL4 and SDF-1 in serum were risk factors affecting the severity of DME(P<0.01); The area under the curve(AUC)of serum SDF-1 in the diagnosis of DME severity was 0.772(95%CI: 0.690-0.842), and the AUC of ANGPTL4 in the diagnosis of DME severity was 0.801(95%CI: 0.722-0.867). The AUC of ANGPTL4 combined with SDF-1 in the diagnosis of DME was 0.884(95%CI: 0.816-0.934), the sensitivity was 87.50%, and the specificity was 85.71%, which were significantly higher than ANGPTL4 or SDF-1 alone(Z=2.658, 2.469, all P<0.05).CONCLUSION: The levels of ANGPTL4 and SDF-1 in serum of DME patients are significantly increased, and their levels increase with the severity of the disease. They can be used as auxiliary indicators for diagnosing the severity of DME disease, and the combined diagnosis has a better effect.

AIM: To investigate the correlation of the expression of stromal cell-derived factor-1(SDF-1)and angiopoietin like protein 4(ANGPTL4)in serum with the severity of disease in patients with diabetic macular edema(DME).METHODS: From April 2020 to August 2023, 193 patients with diabetic retinopathy who were admitted to our hospital were prospectively separated into DME group(128 cases)(56 cases in mild group, 44 cases in moderate group, 28 cases in severe group)and non DME group(65 cases)according to whether the patients had macular edema and the severity of disease. Enzyme-linked immunosorbent assay(ELISA)was applied to determine the levels of ANGPTL4 and SDF-1 in serum. Multivariate Logistic regression was applied to analyze the factors that affected the severity of DME; receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of ANGPTL4 and SDF-1 levels in serum of DME patients for the severity of DME.RESULTS: The levels of ANGPTL4 and SDF-1 in serum of the DME group were obviously higher than those of the non DME group(P<0.01); the expression levels of ANGPTL4 and SDF-1 in serum of the mild, moderate, and severe groups increased obviously in sequence(P<0.05); multivariate Logistic regression analysis showed that the levels of ANGPTL4 and SDF-1 in serum were risk factors affecting the severity of DME(P<0.01); The area under the curve(AUC)of serum SDF-1 in the diagnosis of DME severity was 0.772(95%CI: 0.690-0.842), and the AUC of ANGPTL4 in the diagnosis of DME severity was 0.801(95%CI: 0.722-0.867). The AUC of ANGPTL4 combined with SDF-1 in the diagnosis of DME was 0.884(95%CI: 0.816-0.934), the sensitivity was 87.50%, and the specificity was 85.71%, which were significantly higher than ANGPTL4 or SDF-1 alone(Z=2.658, 2.469, all P<0.05).CONCLUSION: The levels of ANGPTL4 and SDF-1 in serum of DME patients are significantly increased, and their levels increase with the severity of the disease. They can be used as auxiliary indicators for diagnosing the severity of DME disease, and the combined diagnosis has a better effect.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

ObjectivePhotoacoustic pump-probe imaging can effectively eliminate the interference of blood background signal in traditional photoacoustic imaging, and realize the imaging of weak phosphorescence molecules and their triplet lifetimes in deep tissues. However, background differential noise in photoacoustic pump-probe imaging often leads to large fitting results of phosphorescent molecule concentration and triplet lifetime. Therefore, this paper proposes a novel triplet lifetime fitting method for photoacoustic pump-probe imaging. By extracting the phase of the triplet differential signal and the background noise, the fitting bias caused by the background noise can be effectively corrected. MethodsThe advantages and feasibility of the proposed algorithm are verified by numerical simulation, phantom and in vivo experiments, respectively. ResultsIn the numerical simulation, under the condition of noise intensity being 10% of the signal amplitude, the new method can optimize the fitting deviation from 48.5% to about 5%, and has a higher exclusion coefficient (0.88>0.79), which greatly improves the fitting accuracy. The high specificity imaging ability of photoacoustic pump imaging for phosphorescent molecules has been demonstrated by phantom experiments. In vivo experiments have verified the feasibility of the new fitting method proposed in this paper for fitting phosphoometric lifetime to monitor oxygen partial pressure content during photodynamic therapy of tumors in nude mice. ConclusionThis work will play an important role in promoting the application of photoacoustic pump-probe imaging in biomedicine.

As a complex autoimmune disease， rheumatoid arthritis （RA） involves immune microenvironment dysregulation resulting from excessive activation of pyroptosis， which is a crucial factor in disease progression. Based on the theory of ying-wei in traditional Chinese medicine， "ying decline and wei attack" is considered the fundamental pathogenesis of RA. Pyroptosis serves as a microscopic manifestation of this concept， suggesting a potential correlation between "ying decline and wei attack" and pyroptosis nd immune microenvironment dysregulation in RA. Accordingly， treatment principles based on this theory are proposed： in the early stage of the disease， boosting wei to consolidate the exterior， and regulating ying to dispel pathogens； in the middle and late stages， harmonizing ying to remove stagnation， and nourishing its transformational source.

Background Fine particulate matter (PM_2.5) monitoring stations may generate missing data for a certain period of time due to various factors. This data loss will adversely affect air quality assessment and pollution control decision-making. Objective To propose an inverse distance weighted (IDW) spatiotemporal interpolation method based on particle swarm optimization (PSO) to interpolate and fill missing PM_2.5 spatiotemporal sequence data and increase interpolation accuracy. Methods An interpolation experiment was designed into two parts. The first part used hourly PM_2.5 observational data from four moments on January 1, 2017 in the Yangtze River Delta region. The second part employed daily PM_2.5 observational data from the first 10 d of January 2017 in the Beijing-Tianjin-Hebei region. Interpolation accuracy was evaluated using four metrics: root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and mean relative error (MRE). Results IDW spatiotemporal interpolation method optimized with PSO significantly improved the accuracy of filling missing PM_2.5 spatiotemporal sequence data. In the hourly-scale experiment conducted in the Yangtze River Delta region, compared to a distance index of 2, the accuracy metrics RMSE, MAE, MAPE, and MRE generated by the proposed method improved on average by 0.17 μg·m⁻³, 0.27 μg·m⁻³, 0.17%, and 0.01%, respectively. The PM_2.5 spatial field maps generated for four moments based on this method clearly illustrated the spatiotemporal distribution characteristics of hourly PM_2.5 concentrations in the Yangtze River Delta region. In the daily-scale experiment conducted in the Beijing-Tianjin-Hebei region, the PSO-optimized distance index outperformed the traditional method, with interpolation accuracy improvements of approximately 0.215 μg·m⁻³, 0.283 μg·m⁻³, 0.174%, and 0.014%, respectively. Furthermore, the seasonal PM_2.5 spatial field maps generated by this method revealed the spatiotemporal distribution characteristics of PM_2.5 concentrations in the Beijing-Tianjin-Hebei region across different seasons, further validating the effectiveness and applicability of this method. Conclusion The IDW spatiotemporal interpolation method optimized with PSO is highly accurate and reliable for interpolating the missing data in the Yangtze River Delta region and the Beijing-Tianjin-Hebei region, providing valuable insights for air pollution control and public health protection.

Given the current ethical issues such as unknown high risks in the clinical application of new biomedical technology， thus， medical institutions need to establish new technology management systems， including clarifying the concept， the assessment and admission mechanism， and ethical management systems of new technology. According to the direction of the development of new technology in the medical institution， the ethics review committee should also perfect the management system of ethics committees and the professional composition of ethics review committee members， improve the ability of ethics committee members to evaluate new biomedical technology， increase the assessment of ethical risks of new technology in the preliminary review stage， strengthen the requirements for emergency plan formulation， as well as set the frequency of the follow-up review based on the risk level of new technology. The ethics review committee should work together with the medical management department to formulate an ethical standardization training system for the clinical application of medical technology in the institution， and regularly conduct training for all staff， to promote medical workers’ understanding of the management requirements of biomedical technologies. Different types of new biomedical technology have different ethical risks. Therefore， the medical management departments and ethics review committees of medical institutions should formulate specific management rules based on the characteristics of new technology types. However， it should be noted that when new biomedical technology generally is first introduced into clinical practice， there are often issues regarding fairness and justice in the use of the technology.

Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.