ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.

Alzheimer’s disease (AD), a progressive neurodegenerative disorder and the leading cause of dementia in the elderly, is characterized by severe cognitive decline, loss of daily living abilities, and neuropsychiatric symptoms. This condition imposes a substantial burden on patients, families, and society. Despite extensive research efforts, the complex pathogenesis of AD, particularly the early mechanisms underlying cognitive dysfunction, remains incompletely understood, posing significant challenges for timely diagnosis and effective therapeutic intervention. Among the various cellular components implicated in AD, GABAergic interneurons have emerged as critical players in the pathological cascade, playing a pivotal role in maintaining neural network integrity and function in key brain regions affected by the disease. GABAergic interneurons represent a heterogeneous population of inhibitory neurons essential for sustaining neural network homeostasis. They achieve this by precisely modulating rhythmic oscillatory activity (e.g., theta and gamma oscillations), which are crucial for cognitive processes such as learning and memory. These interneurons synthesize and release the inhibitory neurotransmitter GABA, exerting potent control over excitatory pyramidal neurons through intricate local circuits. Their primary mechanism involves synaptic inhibition, thereby modulating the excitability and synchrony of neural populations. Emerging evidence highlights the significant involvement of GABAergic interneuron dysfunction in AD pathogenesis. Contrary to earlier assumptions of their resistance to the disease, specific subtypes exhibit vulnerability or altered function early in the disease process. Critically, this impairment is not merely a consequence but appears to be a key driver of network hyperexcitability, a hallmark feature of AD models and potentially a core mechanism underlying cognitive deficits. For instance, parvalbumin-positive (PV⁺) interneurons display biphasic alterations in activity. Both suppressing early hyperactivity or enhancing late activity can rescue cognitive deficits, underscoring their causal role. Somatostatin-positive (SST⁺) neurons are highly sensitive to amyloid β-protein (Aβ) dysfunction. Their functional impairment drives AD progression via a dual pathway: compensatory hyperexcitability promotes Aβ generation, while released SST-14 forms toxic oligomers with Aβ, collectively accelerating neuronal loss and amyloid deposition, forming a vicious cycle. Vasoactive intestinal peptide-positive (VIP⁺) neurons, although potentially spared in number early in the disease, exhibit altered firing properties (e.g., broader spikes, lower frequency), contributing to network dysfunction (e.g., in CA1). Furthermore, VIP release induced by 40 Hz sensory stimulation (GENUS) enhances glymphatic clearance of Aβ, demonstrating a direct link between VIP neuron function and modulation of amyloid pathology. Given their central role in network stability and their demonstrable dysfunction in AD, GABAergic interneurons represent promising therapeutic targets. Current research primarily explores three approaches: increasing interneuron numbers (e.g., improving cortical PV⁺ interneuron counts and behavior in APP/PS1 mice with the antidepressant citalopram; transplanting stem cells differentiated into functional GABAergic neurons to enhance cognition), enhancing neuronal activity (e.g., using low-dose levetiracetam or targeted activation of specific molecules to boost PV⁺ interneuron excitability, restoring neural network γ‑oscillations and memory; non-invasive neuromodulation techniques like 40 Hz repetitive transcranial magnetic stimulation (rTMS), GENUS, and minimally invasive electroacupuncture to improve inhibitory regulation, promote memory, and reduce Aβ), and direct GABA system intervention (clinical and animal studies reveal reduced GABA levels in AD-affected brain regions; early GABA supplementation improves cognition in APP/PS1 mice, suggesting a therapeutic time window). Collectively, these findings establish GABAergic interneuron intervention as a foundational rationale and distinct pathway for AD therapy. In conclusion, GABAergic interneurons, particularly the PV⁺, SST⁺, and VIP⁺ subtypes, play critical and subtype-specific roles in the initiation and progression of AD pathology. Their dysfunction significantly contributes to network hyperexcitability, oscillatory deficits, and cognitive decline. Understanding the heterogeneity in their vulnerability and response mechanisms provides crucial insights into AD pathogenesis. Targeting these interneurons through pharmacological, neuromodulatory, or cellular approaches offers promising avenues for developing novel, potentially disease-modifying therapies.

Myocardial fibrosis （MF） is a common pathological manifestation of various heart diseases. Due to the non-renewable nature of myocardial cells， the occurrence of MF represents irreversible damage to the myocardium. Previous studies have suggested that fibroblast-mediated collagen deposition is the main mechanism of MF. Recent studies have found that there is an immune regulation mechanism in the heart itself， and macrophage activation/polarization plays an important role in MF. With the deepening of traditional Chinese medicine research， scholars have found that traditional Chinese medicine can interfere with MF by regulating the renin-angiotensin-aldosterone system （RAAS） system and the inflammatory process， repairing the extracellular matrix， managing oxidative stress， and maintaining the balance of autophagy. This process is closely related to the activation and M1/M2 polarization of macrophages. Throughout the MF process， macrophage activation is beneficial， but excessive activation will be harmful. In the early stage of MF， appropriate M1 macrophage polarization is conducive to activating immunity and removing harmful substances. In the middle and late stages of MF， appropriate M2 macrophage polarization is conducive to remodeling the damaged myocardium. If macrophage activation is excessive/insufficient， or the balance of M1/M2 macrophage polarization is broken， the effect changes from improvement to destruction. Traditional Chinese medicines that regulate the activation/polarization of macrophages have the effects of replenishing Qi and nourishing Yin， as well as regulating Qi and activating blood， but there are also some heat-clearing， dampness-drying， and detoxification products. Therefore， the occurrence of MF may be caused by Qi and Yin deficiency， damp heat accumulation， and Qi stagnation and blood stasis. By summarizing the biological processes involved in macrophage activation/polarization in MF， this paper expounded on the research progress of traditional Chinese medicine in regulating macrophage activation and M1/M2 polarization from different angles to improve MF， so as to provide a reference for the treatment of MF with traditional Chinese medicine.

Aim To anticipate the mechanism of zuka- mu granules (ZKMG) in the treatment of bronchial asthma, and to confirm the projected outcomes through in vivo tests via using network pharmacology and molecular docking technology. Methods The database was examined for ZKMG targets, active substances, and prospective targets for bronchial asthma. The protein protein interaction network diagram (PPI) and the medication component target network were created using ZKMG and the intersection targets of bronchial asthma. The Kyoto Encyclopedia of Genes and Genomics (KEGG) and gene ontology (GO) were used for enrichment analysis, and network pharmacology findings were used for molecular docking, ovalbumin (OVA) intraperitoneal injection was used to create a bronchial asthma model, and in vivo tests were used to confirm how ZKMG affected bronchial asthma. Results There were 176 key targets for ZKMG's treatment of bronchial asthma, most of which involved biological processes like signal transduction, negative regulation of apoptotic processes, and angiogenesis. ZKMG contained 194 potentially active components, including quercetin, kaempferol, luteolin, and other important components. Via signaling pathways such TNF, vascular endothelial growth factor A (VEGFA), cancer pathway, and MAPK, they had therapeutic effects on bronchial asthma. Conclusion Key components had strong binding activity with appropriate targets, according to molecular docking data. In vivo tests showed that ZKMG could reduce p-p38, p-ERKl/2, and p-I

In order to investigate the chemical constituents of glycosides in Piper sintenense Hatusima, column chromatographic techniques such as silica gel, ODS, MCI GEL CHP20P, Sephadex LH-20, and semi-preparative high performance liquid chromatography were used to afford nine glycosides from the n-butanol part of the 95% ethanol extract of Piper sintenense Hatusima. Based on the physicochemical properties and NMR data, the above compounds were identified as (2S)-2-hydroxy-1-(4-hydroxy-3-methoxyphenyl)-1-propanone-2-O-β-D-glucopyranoside (1), 2-phenylethyl β-D-glucopyranoside (2), benzyl α-L-arabinopyranosyl-(1''→6')-β-D-glucopyranoside (3), benzyl β-D-xylopyanosyl-(1''→6')-β-D-glucopyranoside (4), phenethyl β-D-apiofuranosyl-(1''→ 2')-β-D-glucopyranoside(5), salidroside (6), phenethanol β-D-xylopyanosyl-(1''→6')-β-D-glucopyranoside (7), (Z)-hexenyl-O-α-L-arabinopyranosyl-(1''→6')-O-β-D-glucopyranoside (8), (Z)-hexenyl-O-β-D-xylopyanosyl-(1''→6')-O-β-D-glucopyranoside (9). Compound 1 was identified as a new compound, and compounds 3-9 were isolated from the genus Piper for the first time.

Objective To discuss the safety and efficacy of arterial embolization combined with local ablation in the treatment of recurrent and refractory chest wall tumors.Methods The clinical data of 11 patients with chest wall tumor that recurred after surgery and progressed after treatment were retrospectively analyzed.On the basis of the original treatment regimen,DSA-guided arterial embolization and CT-guided local ablation were employed.VAS score of pain relief and postoperative complications were recorded,and the therapeutic efficacy was evaluated Results All the patients were follow up for a median time of 18.5 months.Successful DSA-guided arterial embolization was accomplished in all patients.Seven patients(9 lesions in total)initially received CT-guided radiofrequency ablation(RFA),and tumor reoccurred in 2 patients,who had to receive RFA once more.Four patients(5 lesions in total)initially received CT-guided microwave ablation(MWA),and tumor reoccurred in one patient,who had to receive MWA again.According to mRECIST criteria,the 6-month,12-month and 18-month objective response rates(ORR)were 72.7%(8/11),45.5%(5/11)and 18.2%(2/11)respectively,the 6-month,12-month and 18-month overall survival rates were 81.8%(9/11),63.6%(7/11)and 27.3%(3/11)respectively,with a median survival time of 13.2 months.The postoperative one-month and 3-month VAS scores were(2.42±1.25)points and(1.91±1.24)points respectively,which were strikingly lower than preoperative(6.78±1.13)points,the differences were statistically significant(P＜0.05).After surgery,3 patients developed pleural effusion,which disappeared after puncture and drainage treatment,and 2 patients developed fever,which was improved after symptomatic treatment.One patient died of respiratory failure six months after treatment.Conclusion Arterial embolization combined with local ablation can improve the symptoms of pain and prolong the survival time of patients with chest wall tumors.This combination therapy is less traumatic and clinically safe,and it can be used as an effective treatment for patients with recurrent and refractory chest wall tumors.

Objective To explore the efficacy of a new anti-heart failure drug,Entresto,in the prevention of cardiotoxicity caused by doxorubicin(DOX).Methods Male adult ICR mice were randomly divided into three groups(n = 8):control group,DOX group and DOX plus Entresto group.Cardiac function of mice was measured by echocardiography.H9c2 cells were pretreated with Entresto(0-48 μmol/L)for 24 hours in the presence or absence of DOX(1 mmol/L),and then cell viability,oxidative stress,apoptosis and mitochondrial function were evaluated.Results As compared with the control group,leakage of CK,CK-MB and LDH increased significantly in the DOX group(P<0.01),and left ventricular systolic dysfunction occurred.Entresto administration reversed these changes in the DOX group.The level of ROS and the number of apoptotic cells in cardiomyocytes in the DOX plus Entresto group were lower than those in the DOX group(P<0.05).As compared with the DOX group,the level of ROS and the number of apoptotic cells in H9c2 cells decreased significantly in the Entresto plus DOX group(P<0.05),and mitochondrial membrane potential increased significantly(P<0.05).Entresto reversed the inhibitory effect of DOX on SIRT1/PGC-1α/MFN2 signaling pathway.Conclusions Entresto improves DOX-induced cardiotoxicity by inhibiting ROS-mediated oxidative stress and apoptosis,and its mechanism may be related to SIRT1/PGC-1α/MFN2 signal transduction pathway.

Objective:To investigate the cognition and learning habits of different types of postgraduates and evaluate learning effect and its potential risk factors on clinical epidemiology in a medical college, so as to provide relevant data for improving the teaching method and learning effect of clinical research methods for postgraduates.Methods:A cross-sectional study design was conducted to enroll all the postgraduates of Grade 2020 in a military medical school. A self-filled questionnaire was adopted to collect data. The discrepancy of cognition and learning habits between different types of postgraduates was evaluated by univariate analysis. Discussion was conducted to clarify the potential risk factors of learning effect. t tests or Mann-Whitney U tests were conducted to test the differences between groups for continuous variables. Chi-squared tests or McNemar tests were applied to evaluate the difference between groups for categorical variables. Results:A total of 652 postgraduate students were enrolled for analysis, including 409 master students (62.7) and 243 doctoral students (37.3). The proportion of doctoral students who have heard of clinical epidemiology ( χ2=19.99, P<0.001), who have learned clinical epidemiology ( χ2=9.20, P=0.002), who are interested in ( χ2=11.41, P=0.001) and think the course is important ( χ2=10.71, P=0.001), who previewed before class( χ2=11.21, P=0.001), reviewed after class ( χ2=3.29, P=0.001) and actively discuss in class ( χ2=11.64, P=0.001) is significantly higher than that of master students, the difference was statistically significance. The average score of all the postgraduates was (5.50±1.62) points before teaching and (7.47±1.90) points after teaching, the difference was statistically significant ( t=-23.49, P<0.001). After teaching, the grades of full-time students improved more than that of part-time graduate students, there was statistical significance in the master group ( t=4.41, P<0.001), while not in the doctor group ( t=0.94, P=0.351). Conclusions:The mastery of key points on clinical epidemiology have significantly improved after teaching among the postgraduates of different types. Different teaching methods and processes should be adopted to the variety of postgraduates according to their knowledge foundations and shortcomings. Besides, standardizing their learning habits are of certain significance to improve the learning effect.

Objective To investigate the risk factors of periprosthetic femoral fracture(PFF)after total knee arthroplasty(TKA)in the elderly and to construct a predictive model for the prevention of PFF after clinical operation.Methods The clinical data of 537 elderly patients who underwent TKA in the orthopedic department of the First Affiliated Hospital of Air Medical University from October 2016 to October 2021 were retrospectively analyzed.The occurrence of PFF during the follow-up period was statistically analyzed and the clinical data were collected.Binary Logistic regression was used to analyze the risk factors of PFF after TKA in the elderly,and a predictive model of PFF after TKA in the elderly was constructed based on the risk factors.Receiver operating characteristic(ROC)curve and Hosmer-Lemeshow(H-L)were used to test the discrimination and calibration of prediction model.Results The patients were followed up for 12 to 72 months after discharge,with a median time of 47 months.During the follow-up period,31 patients(5.77%)developed PFF.Age,osteoporosis,Parkinson's disease and anterior femoral notch(AFN)were the risk factors for PFF after TKA in the elderly(P<0.05),and cross fixation of prosthesis and bone cement fixation were the protective factors(P<0.05).The results of H-L test showed that the risk prediction model of PFF after TKA in the elderly had good calibration(P>0.05).ROC curve analysis showed that the risk prediction model of PFF after TKA in the elderly has high discrimination(area under the curve was 0.858,95%CI:0.826 to 0.887),the sensitivity was 83.87%,the specificity was 88.34%.Conclusion The risk of PFF after TKA in the elderly is high,and prevention should be carried out according to the high risk factors.The prediction model constructed based on the high risk factors has good prediction efficiency.

Objective To summarize and analyze the clinical phenotypes,hereditary features and treatment and follow-up strategies of different hereditary pheochromocytoma/paragangliomas(PCC/PGL)and related syndromes.Methods Forty-four clinically diagnosed PCC/PGL patients admitted in our hospital from January 2000 to August 2022 were enrolled,and the clinical data of them and their family members were collected.Second-generation sequencing was performed on 43 patients for genetic detection,and Sanger sequencing was applied to verify the mutation of the probands and family members.Results There were 15 patients diagnosed with hereditary PCC/PGL,including 7 cases of von Hippel-Lindau(VHL)syndrome,3 cases of multiple endocrine neoplasia type 2(MEN2),and 5 cases of familial paraganglioma syndrome.Seven VHL syndrome families were diagnosed as VHL2A(c.500G＞A),VHL2B(c.239G＞T and c.444_457del),and VHL2C(c.293A＞G)according to their clinical manifestations.All probands received surgical treatment,and 2 cases of recurrent PCC and the patients with multiple renal cancer also received targeted therapy with sunitinib.Three MEN2 families carried c.1901G＞C,c.1832G＞A,and c.1901G＞A missense mutations,respectively,and were diagnosed with MEN2A clinically.All of them underwent adrenalectomy and thyroidectomy,including one for preventive thyroidectomy.Among the 5 familial paraganglioma syndrome families,4 patients carried SDHB mutations(SDHB:c.343C＞T,c.541-2A＞G,c.575G＞A,c.268C＞T)and 1 patient carried an SDHD mutation(SDHD:c.337_340del).Sporadic retroperitoneal PGL were most common.Conclusion More than 1/3 of PCC/PGL patients carry germline gene mutations,showing obvious genotype-phenotype correlation.Genetic diagnosis technology plays an important guidance role for clinical precision treatment and follow-up,and genetic counseling.