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.

BACKGROUND: The potential impact of pre-existing coronary artery stenosis (CAS) on right ventricular (RV) function during acute pulmonary embolism (PE) episodes remains underexplored. This study aimed to investigate the association between pre-existing CAS and RV dysfunction in patients with acute PE. METHODS: In this multicenter, case-control study, 89 cases and 176 controls matched for age were enrolled at three study centers (Peking Union Medical College Hospital, Fuwai Hospital, and the Second Affiliated Hospital of Harbin Medical University) from January 2016 to December 2020. The cases were patients with acute PE with CAS, and the controls were patients with acute PE without CAS. Coronary artery assessment was performed using coronary computed tomographic angiography. CAS was defined as ≥50% stenosis of the lumen diameter in any coronary vessel >2.0 mm in diameter. Conditional logistic regression analysis was used to evaluate the association between CAS and RV dysfunction. RESULTS: The percentages of RV dysfunction (19.1% [17/89] vs. 44.6% [78/176], P <0.001) and elevated systolic pulmonary artery pressure (sPAP) (19.3% [17/89] vs. 39.5% [68/176], P = 0.001) were significantly lower in the case group than those in the control group. In the multivariable logistic regression model, CAS was independently and negatively associated with RV dysfunction (adjusted odds ratio [OR]: 0.367; 95% confidence interval [CI]: 0.185-0.728; P = 0.004), and elevated sPAP (OR: 0.490; 95% CI: 0.252-0.980; P = 0.035), respectively. CONCLUSIONS Pre-existing CAS was significantly and negatively associated with RV dysfunction and elevated sPAP in patients with acute PE. This finding provides new insights into RV dysfunction in patients with acute PE with pre-existing CAS.
Humans ; Pulmonary Embolism/complications* ; Case-Control Studies ; Male ; Ventricular Dysfunction, Right/physiopathology* ; Female ; Middle Aged ; Aged ; Coronary Stenosis/complications* ; Logistic Models ; Adult

As a common neurological disease in China, stroke has an extremely high rate of death and disability, of which 80% is ischemic stroke (IS), causing a serious burden to individuals and society. Neuronal death is an important factor in the pathogenesis of stroke. Studies have shown that mitochondrial dynamics, as a key mechanism regulating intracellular energy metabolism and cell death, plays an important role in the pathogenesis of IS. In recent years, targeting mitochondrial dynamics has become an emerging therapeutic tool to improve neurological impairment after stroke. This paper reviews the research advance in recent years in IS mitochondrial dynamics, summarizing and discussing the overview of mitochondrial dynamics, the role of mitochondrial dynamics in IS, and the studies on mitochondrial dynamics-based treatment of IS. This paper helps to explore the mechanism of the role of mitochondrial dynamics in IS and effective interventions, and provides a theoretical strategy for targeting mitochondrial dynamics to treat IS in the clinic.
Humans ; Mitochondrial Dynamics/physiology* ; Ischemic Stroke/metabolism* ; Mitochondria/physiology* ; Animals ; Brain Ischemia/physiopathology* ; Energy Metabolism

Process analytical technology(PAT) is a key means for digital transformation and upgrading of the traditional Chinese medicine(TCM) manufacturing process, serving as an important guarantee for consistent and controllable TCM product quality. Near-infrared(NIR) spectroscopy has become the core technology for measuring the TCM manufacturing process. By incorporating NIR spectroscopy into PAT and starting from the construction of a smart platform for the TCM manufacturing process, this paper systematically described the development history and innovative application of the combination of NIR spectroscopy with chemometrics in measuring the TCM manufacturing process by the research team over the past two decades. Additionally, it explored the application of a validation method based on accuracy profile(AP) in the practice of NIR spectroscopy. Furthermore, the software development progress driven by NIR spectroscopy supported by modeling technology was analyzed, and the prospect of integrating NIR spectroscopy in smart factory control platforms was exemplified with the construction practices of related platforms. By integrating with the smart platform, NIR spectroscopy could improve production efficiency and guarantee product quality. Finally, the prospect of the smart platform application in measuring the TCM manufacturing process was projected. It is believed that the software development for NIR spectroscopy and the smart manufacturing platform will provide strong technical support for TCM digitalization and industrialization.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/analysis* ; Software ; Medicine, Chinese Traditional ; Quality Control

OBJECTIVE: To evaluate the clinical efficacy and safety of clavicular anatomical plate in the treatment of clavicular Allmanic fracture. METHODS: Between January 2016 and December 2022, 27 patients with Allman ⅡC distal clavicle fractures were treated with clavicular anatomical plate. There were 19 males and 8 females, aged from 16 to 69 years old, with an average of (39.74±12.71) years old. There were 15 patients on the left side and 12 patients on the right side. There were 15 patients with single clavicle fracture and 12 patients complicated with other parts of the body or organ injury. The broken ends of the fractures were fixed with clavicular anatomical plate, including common compression clavicular anatomical plate in 19 patients and locking clavicular anatomical plate in 8 patients. The operation time and hospitalization days were recorded. Visual analogue scales (VAS) were utilized to assess subjective pain levels both preoperatively and 3 days postoperatively. Postoperatively, patients were monitored at intervals of 1 to 3 months until X-ray films confirmed fracture healing. In accordance with the University of California, Los Angeles (UCLA) shoulder rating system, evaluations were conducted on postoperative pain alleviation, functional recovery, range of motion in forward flexion, strength in forward flexion, and patient satisfaction. RESULTS: All patients were followed up for a period ranging from 12 to 18 months with an average of (14.70±1.61) months, and all clavicular fractures achieved successful union. The wounds of 24 patients healed in one stage, and 3 patients developed bleeding and exudation, they were cured after dressing change. There were no complications such as infection, plate and screw fracture, vascular and nerve injury. The operation time was(67.56±11.01) min. Significant differences were observed in pain relief, functional improvement, range of motion for forward flexion, strength of forward flexion, patient satisfaction, and overall scores at preoperative, 3 months postoperatively, 6 months postoperatively, and at the final follow-up(P<0.001). CONCLUSION The utilization of clavicular anatomical plates for the management of Allman typeⅡC fractures can provide early and stable fixation without compromising the acromioclavicular joint, thereby enabling patients to commence early mobilization and ensuring optimal fracture healing.
Humans ; Male ; Female ; Clavicle/surgery* ; Adult ; Bone Plates ; Middle Aged ; Fractures, Bone/physiopathology* ; Adolescent ; Aged ; Fracture Fixation, Internal/instrumentation* ; Young Adult

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

Objective To investigate the effect of Mex3c gene knockout on embryonic neural tube development and its possible mechanisms.Methods The NCBI database was used to analyze the expression of Mex3c gene in various tissues of mice.Fluorescence in situ hybridization(FISH)was employed to detect the expression of Mex3c in neural tubes of Mex3c+/+mice at different developmental stages(E12.5 d,E14.5 d).Sexual mature mice were mated at a ratio of Mex3c+/-male to female(1:1)in the same cage.Embryos were collected and genotyped using PCR.They were divided into 3 groups based on their genotype:wild-type group(Mex3c+/+,WT group),homozygous knockout group(Mex3c-/-,KO group),and heterozygous knockout group(Mex3c+/-).HE staining was employed to observe the development of neural tubes in the 3 groups of embryos.Immunofluorescence staining and Western blotting were performed to detect the proliferation and apoptosis of embryonic neural stem cells in the WT and KO groups.Transmission electron microscopy was used to observe the ultrastructure of the neural tubes and mitochondria in the WT and KO groups.RNA was extracted from the neural tubes of WT and KO groups for RNA-seq sequencing.The R.3.6.3 software was used to perform KEGG signaling pathway enrichment analysis on differentially expressed genes.RT-qPCR was used to validate the sequencing results.Results The NCBI database analysis and FISH detection results showed that the Mex3c gene was mainly expressed in the central nervous system of embryos.HE staining results showed that there was no significant difference in the development of embryonic neural tubes between KO group,WT group,and heterozygous knockout group at E12.5 d and E13.5 d.However,at E14.5 d,the embryonic neural tube development in KO group was delayed and the phenotype was significantly abnormal compared with those in WT group.Therefore,the embryonic neural tube tissues of KO group and WT group at E14.5 d were selected for subsequent experiments.The immunofluorescence staining results showed that the PCNA positive cell rate in KO group was significantly lower than that in WT group(P<0.001).The Western blotting results showed that the Bax/Bcl-2 ratio in KO group was higher than that in WT group(P<0.01).Transmission electron microscopy observation showed that compared with WT group,the synaptic gap in KO group disappeared,the mitochondrial of the embryonic neural tube in KO group were swollen,the mitochondrial cristae were disrupted,and the structure was significantly abnormal.The results of RNA-seq analysis showed that a total of 377 differentially expressed genes were obtained,including 101 up-regulated genes and 276 down-regulated genes.KEGG signaling pathway enrichment analysis revealed that the main signaling pathways of differentially expressed genes were enriched in the neuroactive ligand receptor interaction signaling pathways.The RT-qPCR validation results showed that the mRNA expression levels of Avpr1a,Drd1,Htr7,Sstr1,Oxtr and Gabra5 in this signaling pathway were down-regulated(P<0.05 or P<0.01),which was consistent with the RNA-seq results.Conclusion Mex3c plays an important role in the development of neural tubes in mouse embryos,which may participate in regulating the proliferation and apoptosis of neural stem cells through neural active ligand receptor interaction signaling pathways,thereby affecting the development of neural tubes.

Objective To establish a normal three-dimensional model of the hip bone in adolescents aged 10-19 years old,analyze the morphology and positional parameters of the posterior superior iliac spine of the hip bone among different genders,sides,and ages,which can supplement the study of the anatomical morphology of the hip bone and to provide a reference for the diagnosis of the clinically relevant diseases and for the therapeutic manipulation and localization of the hip bone.Methods Forty adolescent patients aged 10-19 years without previous spinal pelvic diseases were selected,and the pelvic CT image data were collected and imported into Mimics 21.0 software to establish the model.The relative position parameters of the posterior superior iliac spine and the surrounding anatomical landmarks included the length from the posterior superior iliac spine to the anterior superior iliac spine(ab),the length from the tip of the posterior superior iliac spine to the sciatica(ac),the length from the tip of the posterior superior iliac spine to the pubic tubercle(ae),the length from the tip of the posterior superior iliac spine to the midpoint of the posterior margin of the auricular joint surfaces(af),the length from the tip of the posterior superior iliac spine to the iliac spine turn(ag),and the length from the sciatica tubercle to the highest point of the iliac spine(cd).The local parameters of the posterior superior iliac spine included the width(W0)and the thickness(H0)at point A.The maximum width of the posterior iliac spine(WMAX),its distance from point a(D0),and the width of the iliac spine were measured at 0.5,1,and 1.5 cm from point a,and were recorded sequentially as W1,W2,and W3.The width of the iliac spine at the turn of the iliac spine(point g)was measured(W4).The relative positions and parameters of the posterior superior iliac spine to the surrounding anatomical landmarks and the localized parameters of the posterior superior iliac spine were compared sequentially for different genders,sides,and age groups.Results In the measurement result of the parameters of the posterior superior iliac spine and the surrounding anatomical landmarks,the differences in the comparisons between different genders of the ac,ae,and af indexes were statistically significant(P＜0.05),and the differences in the comparisons between different genders of the ab,ag,and cd indexes were not statistically significant(P＞0.05).The differences in the comparisons between the right and left sides of the ab,ac,ae,af,ag,and cd indexes were not statistically significant(P＞0.05).The difference in comparison between different age groups of ab,ac,ae,af,ag,and cd indicators was statistically significant(P＜0.05).In the measurement result of the local parameters of the posterior superior iliac spine,the difference in the comparison between the sexes of the W0,W1,W2,WMAX,and H0 indexes was statistically significant(P＜0.05),and the difference in the comparison between the sexes of the W3,W4,and D0 indexes was not statistically significant(P＞0.05);And the difference in the comparison between the left and right sides of the W0,W1,W2,and the right and left sides of the W3,W4,WMAX,D0,and H0 indexes was not statistically significant(P＞0.05);The difference between W0,W1,W2,W3,W4,WMAX,D0,H0 indicators compared between different age groups was not statistically significant(P＞0.05).Conclusion Adolescent females have overall greater pelvic parameters than males,with wider and thicker tips of the posterior superior iliac spine in females and narrower and thinner tips of the posterior superior iliac spine in males;Pelvic parameters show a tendency to increase with age,while the width and thickness of the posterior superior iliac spine,as well as the width of the cephalic end to the iliac spine remain essentially unchanged.

Rapid and accurate detection methods for food-borne pathogens are essential to ensure food safety and human health.One promising innovation in this area is the clustered regularly interspaced short palindromic repeats/CRISPR-associated systems(CRISPR/Cas)biosensor,which utilizes Cas protein and CRISPR RNA(crRNA)ribonucleo protein to specifically recognize target genes,and converts target signals into detectable physical and chemical signals.The CRISPR/Cas biosensor shows many advantages,such as high specificity,programmability,and ease of use,making it promising to pathogen detection.This paper introduced the principles and characteristics of CRISPR/Cas systems,along with the strategies for signal recognition,amplification,and output based on different CRISPR/Cas biosensors,and their respective applications in food-borne pathogen detection.Furthermore,the construction principles and challenges of multiple biosensors based on CRISPR/Cas were explored,as well as their potential for simultaneous detection of multiple pathogens.Finally,the challenges and future development trends of CRISPR/Cas-based biosensors in rapid pathogen detection were discussed,aiming to provide valuable reference and inspiration for biosensor designers and food safety practitioners.

To address the key challenges in multivariate statistical modeling,a higher-order derivative approach combined with vector space angle multiplicative error correction was proposed for establishing an acid value prediction ordinary least squares(OLS)regression model based on attenuated total reflectance-Fourier transform infrared(ATR-FTIR)spectroscopy.By using acid values measured by potentiometric titration as reference,ATR-FTIR spectroscopy was utilized for direct calibration and prediction of acid values on 96 kinds of lubricating oil samples from a wind turbine.Firstly,the simulated hyperbolic(SH)method was employed to obtain accurate fourth derivative spectrum,resolving overlapping bands and enhancing spectral selectivity.Then,from the calibration set(48 samples),informative spectral regions were identified based on correlation coefficients.Next,the sample with the highest acid value was selected as the reference and1/(1+tan(θ/2))was used as the metric relation of the spectrum to suppress the multiplicity error caused by factors such as the change of effective optical path in ATR-FTIR spectroscopy.After pretreatment of the spectrum by the method of fourth-order derivative combined with angular quantity,the number of variables decreased from 1737 to 8,and the matrix condition number decreased from 1.85×1015 to 56.34,which effectively eliminated the collinearity issue for OLS regression.Direct OLS modeling on spectral preprocessed data achieved a determination coefficient of 0.981 for 47 validation samples,with a relative error range of-8.38%-8.22%,outperforming the commonly used partial least squares(PLS)method(Determination coefficient of 0.865,relative error of-27.82%-22.38%).It was proved that effective data preprocessing significantly improved the prediction accuracy of the model.Furthermore,when the number of calibration set was compressed to 25 and the number of validation set was expanded to 70,the model retained 8 variables with a condition number of 42.60,the determination coefficient of validation set was 0.972,and the relative error ranged from-10.80%to 12.31%.Comparing with the PLS method(Determination coefficient of 0.724,relative error of-34.26%-53.84%),the improvement was more obvious,which showed that the method could still have high prediction accuracy even with fewer modeling samples as well as robustness against multiplicative error interference.