Objective:To investigate regulatory effect and mechanism of protein kinase C(PKC)δ/θ-dual functional oxidase 1(Duox1)-reactive oxygen species(ROS)signaling pathway on human airway mucin(MUC)5AC,to provide a new target for treatment of high secretion of airway mucus.Methods:Human airway epithelial cells 16HBE were pretreated with PKC and its subunit PKCδ/θ inhibitor,Duox1 inhibitor or free radical scavenger DMTU,respectively,and then human neutrophil elastase(HNE)stimulation to establish an in vitro airway inflammatory cell model.Generation level of ROS in each group of cells was determined by kit,mRNA levels of Duox1 and MUC5AC were detected by real-time fluorescent quantitative PCR,influence of interfering factors of each group of cells on Duox1 protein level was determined by Western blot,and protein expression of MUC5AC in each group of cells was detected by ELISA and immunofluorescence.Results:Compared with control group,ROS production in HNE group was increased significantly,expressions of Duox1 and MUC5AC mRNA and protein were also increased(P<0.05).After administration of Duox1 inhibitors,free radical scavengers or PKC inhibitors and PKCδ/θ inhibitors,ROS production was significantly inhibited,Duox1 and MUC5AC mRNA and protein expressions were decreased(P<0.05),while after giving PKCα/β,ROS generation,Duox1 and MUC5AC mRNA and pro-tein expressions were not significantly changed compared with HNE group(P>0.05).Conclusion:HNE can mediate high expression of MUC5AC through PKCδ/θ-Duox1-ROS,which plays an important role in development of high secretion of airway mucus in vitro cell model experiment.

Objective:To explore the relationship between insomnia and osteoporosis.Methods:Mendelian randomization (MR) analysis were used in this study. The single nucleotide polymorphisms (SNPs) related to insomnia from genome-wide association analysis research data were selected as the instrumental variables by using inverse variance weighted (IVW), MR-Egger regression, weighted median method, maximum likelihood, penalized weighted median estimator, and Mendelian randomization robust adjusted profile score (MR-RAPS) to determine the causal relationship between insomnia and osteoporosis. Odds ratio ( OR) and 95% confidence interval ( CI) values were used to evaluate the association between insomnia and osteoporosis. Cochran′s Q-test was used to detect heterogeneity of SNPs, MR-Egger regression was used to test for level pleiotropy, and the leave-one-out method was used to test sensitivity, MR pleiotropy residual sum and outlier (MR-PRESSO) method and radial MR were used to detect erroneous outliers. Results:The screening criteria were set based on the three major assumptions of MR; finally, 31 SNPs were included in the MR analysis. The results of MR causal effect analysis using the IVW method showed that insomnia increased the risk of osteoporosis by about 0.7% ( OR=1.007, 95% CI 1.001-1.014, P=0.044); heterogeneity testing showed heterogeneity between SNPs ( Q=57.91, P<0.001); and the MR- Egger intercept test did not indicate horizontal pleiotropy in this study (intercept value=3.807×10 -5, P=0.888). Leave-one-out method showed that no single SNP had a significant impact on the overall results. No abnormal SNP was detected according to the MR-PRESSO results ( P=0.059), and radial MR did not detect any outliers. Conclusion:Mendelian randomization analysis showed that insomnia can increase the risk of osteoporosis.

Objective:To report a case of Kufor-Rakeb syndrome caused by novel ATP13A2 mutation, collect the cases related to ATP13A2 gene mutation published in recent years, summarize the clinical manifestations of the disease, and broaden the clinical diagnostic thinking. Methods:The clinical manifestations of a newly diagnosed patient with Kufor-Rakeb syndrome caused by ATP13A2 gene mutation admitted to Zhongda Hospital, Southeast University on November 26, 2021, were summarized. The related cases of ATP13A2 mutation published from January 2000 to December 2021 were searched through the PubMed and CNKI databases using the keywords "ATP13A2" and "Parkinson′s disease". The onset age, clinical symptoms, family history, genetic testing, and levodopa responsiveness results of the patients were collected. Results:The patient is a 52-year-old female with the main clinical symptoms of static tremor and bradykinesia. Physical examination showed a gear like increase in muscle tension in the right upper limb, involuntary shaking of the right hand and slow movement. She had good responsiveness to levodopa, and the magnetic resonance imaging and susceptibility weighted imaging of the head showed a lack of clear observation of bilateral black matter swallowtail sign. Whole exome sequencing showed that mutations c.3010A>G (p.S1004G) and c.1195+5G>A (splice) were found in the ATP13A2 gene, both of which were not reported. The c.3010A>G (p.S1004G) mutation originated from the mother, and the c.1195+5G>A (splice) mutation originated from the father. In the retrospective literature review, a total of 10 cases were collected, with onset ages ranging from 18 months to 24 years. Among them, 4/10 patients′ parents married close relatives, and the clinical manifestations were mainly motor symptoms of Parkinson′s disease. In addition, 5/10 patients had cognitive dysfunction, and 3/10 patients had mental symptoms. And demonstrations of most patients′ magnetic resonance imaging were normal in the early stage of the disease, and as the disease progressed, some patients′ imaging results showed specific changes, such as whole brain atrophy and changes in the corpus callosum. Meanwhile, 8/10 patients showed good responsiveness to levodopa. Conclusions:Kufor-Rakeb syndrome is a special type of adolescent levodopa responsive Parkinson′s disease caused by ATP13A2 mutation, which is an autosomal recessive disorder. In addition to motor symptoms such as static tremor and bradykinesia, its clinical manifestations may also be accompanied by non motor symptoms such as cognitive and psychiatric disorders. The disease responds well to treatment with levodopa.

Cerebral small vessel disease (CSVD) is a clinical condition resulting from lesions in the small blood vessels within the brain. Cause and mechanism of CSVD are intricate, and early diagnosis and specific treatment are currently lacking in clinical practice. This paper presents a synthesis of recent methodologies for creating animal models of CSVD, as well as a compilation of imaging and biological markers for CSVD early diagnosis. Additionally, the article reviews intervention strategies that target crucial pathways in the development of CSVD, aiming to offer novel insights into early diagnosis and intervention techniques for CSVD.

Objective To investigate the relationship between signal-to-noise ratio loss and electrocochleo-gram in noise exposed subjects and its assistive diagnosis value for hidden hearing loss.Methods Forty-one workers with a history of noise exposure were tested with pure tone audiometry,acoustic immittance,speech recognition un-der noise and electrocochleogram.They were divided into two groups according to their speech recognition ability under noise:Group A:SNR loss＜0(19 ears),Group B:SNR loss＞0(22 ears).The difference of electrocochleo-gram between the two groups was recorded and analyzed.Results The results of speech recognition test showed that there was significant difference in SNR loss between Group A and Group B(P＜0.05).The results of cochlear electrogram showed that the AP amplitudes of the two groups were significantly different at 96,90 and 80 dB nHL(P＜0.05).At 96,90,80,70,60 dB nHL,there were significant differences in SP amplitudes between the two groups(P＜0.001).At 96,90,80 and 70 dB nHL,there was significant difference in SP/AP amplitude ratio be-tween the two groups(P＜0.05).Conclusion There is a significant difference of SP/AP amplitude ratio between subjects with SNR loss of＜0 and＞0 at different sound intensities.

Objective To investigate the effect of staphylococcal nuclease and tudor domain containing 1(SND1)on the biological function of osteosarcoma cells and decipher the mechanism of SND1 in regulating fer-roptosis in osteosarcoma cells via SLC7A11.Methods Human osteoblasts hFOB1.19 and osteosarcoma cell lines Saos-2,U2OS,HOS,and 143B were cultured,in which the expression level of SND1 was determined.Small in-terfering RNA was employed to knock down the expression of SND1(si-SND1)in the osteosarcoma cell line HOS and 143B.The CCK8 assay kit,colony formation assay,and Transwell assay were employed to examine the effect of SND1 expression on the biological function of osteosarcoma cells.Furthermore,we altered the expression of SND1 and SLC7A11 in osteosarcoma cells to investigate the effect of SND1 on osteosarcoma ferroptosis via SLC7A11.Results The mRNA and protein levels of SND1 in Saos-2,U2OS,HOS,and 143B cells were higher than those in hFOB1.19 cells(all P<0.01).Compared with the control group,transfection with si-SND1 down-regulated the expression level of SND1 in HOS and 143B cells(all P<0.01),decreased the viability of HOS and 143B cells,reduced the number of colony formation,and inhibited cell invasion and migration(all P<0.001).The ferroptosis inducer Erastin promoted the apoptosis of HOS and 143B cells,while the ferroptosis inhibitor Fer-rostatin-1 improved the viability of HOS and 143B cells(all P<0.001).After SND-1 knockdown,Erastin reduced the viability of HOS and 143B cells,while Ferrostatin-1 restored the cell viability(all P<0.001).After treatment with Erastin in the si-SND1 group,the levels of iron and malondialdehyde were elevated,and the level of glutathione was lowered(all P<0.001).The results of in vivo experiments showed that SND1 knockdown inhibited the mass of the transplanted tumor in 143B tumor-bearing nude mice(P<0.001).Knocking down the expression of SND1 resul-ted in down-regulated SLC7A11 expression(all P<0.001)and increased ferroptosis in HOS and 143B cells(P<0.001,P=0.020).Conclusions SND1 presents up-regulated expression in osteosarcoma cells.It may inhibit ferrop-tosis by up-regulating the expression of SLC7A11,thereby improving the viability of osteosarcoma cells.

Objective:To compare image quality and diagnostic parameters of whole-brain CT perfusion scans under different scanning conditions and assess the utility of deep learning image reconstruction algorithm (DLIR) in reducing tube current during low-dose scans.Methods:Method A total of 105 patients with suspected acute ischemic stroke (AIS) were prospectively enrolled in the First Affiliated Hospital of Zhengzhou University from March, 2022 to March, 203 and their baseline information was recorded. All patients underwent head non-contrast CT and CT perfusion (CTP) examinations. CTP scanning was performed at 80 kV in two groups with the tube current of 150 mA (regular dose) and 100 mA (low dose), respectively. The CTP images of 150 mA group were reconstructed using filtered back-projection algorithm as well as adaptive statistical iterative reconstruction-V (ASIR-V) at 40% and 80% strength levels, which were denoted as groups A-C. The CTP images of 100 mA group were reconstructed using ASIR-V80%, DLIR-M, and DLIR-H, which were denoted as groups D-F. Clinical baseline characteristics and radiation doses were compared between the two groups under different scanning conditions. Furthermore, we assessed the subjective and objective image quality, conventional perfusion parameters, and abnormal perfusion parameters of AIS patients across the six groups of reconstructed CTP images.Results:Under the scanning conditions of 150 mA and 100 mA, 47 and 48 patients were diagnosed with AIS, respectively. There were no significant differences in the baseline characteristics between the two groups. However, there was a significant difference in the mean effective radiation dose (5.71 mSv vs. 3.80 mSv, t = 2 768.30, P < 0.001). The standard deviation (SD) of noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of gray matter (GM) and white matter (WM) were significantly different among the six groups of reconstructed images ( F = 40.58-212.13, P < 0.001). In GM, the SD values in groups C, D, and F were lower than those in other groups ( P < 0.05), and the SNR values in groups C and F were higher than those in other groups ( P < 0.05). In WM, the SD and SNR values in groups C and F were significantly different from those in other groups ( P < 0.05). Additionally, CNR values in groups C and F were higher than those in other groups ( P < 0.05). There was no significant difference in subjective scores among groups B, C, and F ( P > 0.05). Regarding perfusion parameters in the brain GM, groups D and E had lower cerebral blood volume (CBV) values compared to groups A to C ( P < 0.05), and group F had lower CBV values than group B ( P < 0.05). In the brain WM, group D had consistently lower mean transit time (MTT) values compared to the other groups ( P < 0.05). Notably, there were no significant differences in AIS lesion detection rates and relevant diagnostic parameters across the six image groups. Conclusions:Low-tube current CTP scan combined with the DLIR-H algorithm can enhance image quality without affecting perfusion parameters such as CBV and MTT, while reducing radiation dose by 30%. This algorithm can be routinely applied in brain CTP examinations.

Objective:To preliminarily explore the long-term improvement of low-frequency deep brain stimulation (DBS) on the nucleus basalis of Meynert (NBM) in cognitive disorders, neuropsychiatric symptoms and sleep disorders of patients with early-onset severe Alzheimer's disease (AD).Methods:A retrospective study was performed; 18 patients with early-onset severe AD admitted to Department of Neurosurgery, First Medical Center of PLA General Hospital from January 2016 to December 2022 were included. These patients were divided into NBM-DBS group and control group according to different treatments; 6 patients received low-frequency NBM-DBS on basis of conservative treatments; 12 patients accepted conservative treatments. Changes in Brief Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Neuropsychiatric Inventory (NPI), Hamilton Depression Rating Scale (HAMD), Becker-Lavanson Mania Scale (BRMS), Pittsburgh Sleep Quality Index (PSQI), and Zarit Caregiver Burden Interview (ZBI) were observed before treatment and 1 year after follow up.Results:MMSE and MoCA scores 1 year after follow up obviously reduced compared with those before treatment in both NBM-DBS and control patients; MMSE and MoCA scores in NBM-DBS patients showed no significant differences between 1 year after follow up and before treatment ( P>0.05), while significant differences were noted in the control group between 1 year after follow-up and before treatment ( P<0.05); and no significant differences in MMSE and MoCA scores were noted between the 2 groups 1 year after follow up ( P>0.05). NPI, HAMD, BRMS and ZBI scores in the NBM-DBS group 1 year after follow up were significantly different compared with those before treatment ( P<0.05); no significant differences were noted in NPI, HAMD and ZBI scores in the control group between 1 year after follow up and before treatment ( P>0.05), while significant difference was noted in BRMS scores ( P<0.05); significant differences in NPI, HAMD, BRMS and ZBI scores were noted between the 2 groups 1 year after follow up ( P<0.05). Conclusion:Low-frequency NBM-DBS is not only effective in improving cognitive disorders, but also effective in improving neuropsychiatric symptoms and sleep disorders, as well as reducing caregiver burden in patients with early-onset severe AD.

ObjectiveTo investigate the effect of Yiqi Tongxin formula （YQTM） on liver inflammation in apolipoprotein E^-∕- （ApoE^-∕-） mice by regulating the nuclear transcription factor-κB （NF-κB）/NOD-like receptor protein 3 （NLRP3） signaling pathway. MethodForty ApoE^-∕- mice were randomly divided into a model group， an atorvastatin group （positive drug group）， and low-， medium-， and high-dose YQTM groups （0.39， 0.78， 1.56 g·kg^-1）. Each drug administration group was given the corresponding concentration of the drug by gavage on the basis of high-fat feeding for 12 consecutive weeks. Eight C57BL/6J mice were used as a blank group and fed with normal chow. After 12 weeks， oil red O staining and Masson staining were used to observe the aortic lesions in mice and to determine whether the modeling was successful. Oil red O staining was used to observe the lipidosis in the livers of mice. Hematoxylin-eosin （HE） staining was used to observe the tissue lesions in the livers of mice. Masson staining was used to observe the distribution of collagen fibers in the livers of mice. Enzyme markers were used to detect the total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein （LDL-C）， aspartate aminotransferase （AST）， and alanine aminotransferase （ALT） in mouse serum， as well as total cholesterol （TC） and triglyceride （TG） in the liver. Interleukin-1β （IL-1β） and IL-18 were detected in mouse liver by enzyme-linked immunosorbent assay （ELISA）. Immunohistochemistry （IHC） was utilized to observe the expression regions of NF-κB and NLRP3 in the livers of mice. Western blot was employed to detect the protein expression levels of NF-κB， NF-κB inhibitory protein （IκB）， IκB kinase β （IKKβ）， phosphorylated NF-κB （p-NF-κB）， phosphorylated IκB （p-IκB）， phosphorylated IKK β （p-IKKβ）， NLRP3， and Caspase-1 in the livers of mice. ResultCompared with the blank group， the model group showed severe aortic lipidosis， and the intracellular fat droplets in the livers aggregated in large quantities. The cytoplasm was filled with fat vacuoles（P<0.01）. The serum levels of TG， TC， LDL-C， AST， and ALT were significantly elevated in the mice（P<0.01）. TG and TC levels were elevated in the liver（P<0.01）. The levels of IL-1β and IL-18 in liver tissue， as well as the protein expression levels of NF-κB， IκB， IKKβ， p-NF-κB， p-IκB， p-IKKβ， NLRP3， and Caspase-1 in the liver were significantly elevated（P<0.01）. Compared with the model group， the aortic arch plaques of mice in each YQTM group were attenuated， and the fat aggregation in the liver was reduced. The inflammatory cell infiltration was alleviated（P<0.05，P<0.01）. The serum levels of TG， TC， LDL-C， AST， and ALT were significantly reduced（P<0.05，P<0.01）. TG and TC levels in the liver were reduced. The IL-1β and IL-18 levels in liver tissue， as well as protein expression levels of NF-κB， IκB， IKKβ， p-NF-κB， p-IκB， p-IKKβ， NLRP3， and Caspase-1 in the liver were significantly reduced（P<0.05，P<0.01）. ConclusionThe intervention mechanism of YQTM on liver inflammation in ApoE^-∕- mice may be related to the down-regulation of the NF-κB/NLRP3 signaling pathway.

Objective To establish a method for the simultaneous determination of DOX·HCl and LND. Methods HPLC was performed on Agilent 5 HC-C₁₈（2） （4.6 mm × 250 mm, 5 µm） column. The mobile phase was methanol-0.1% TFA aqueous solution, and the gradient elution procedure were: 0 to 3 min, 65% methanol; 3 to 7 min, 65%→90% methanol; 7 to 13 min, 90% methanol; 13 to 15 min, 90%→65% methanol; 15 to 20 min, 65% methanol. The collection time was 20 min, the balance time was 3 min, the UV detection wavelengths were 205 nm and 253 nm. The flow rate was 1.0 ml/min and the column temperature was 35℃. The amount of inlet was 10 µl. Results The method was highly specific, and both DOX·HCl and LND exhibited good linearity in the concentration range of 1-40 µg/ml and 6-240 µg/ml, respectively. The two compounds’ precision, stability, and recovery satisfied the requirements of the method. Conclusion This study established a HPLC method that was suitable for the simultaneous detection of DOX·HCl and LND. This method’s high level of specificity, accuracy, and reliability .