Sleep is an instinctive behavior alternating awakening state, sleep entails many active processes occurring at the cellular, circuit and organismal levels. The function of sleep is to restore cellular energy, enhance immunity, promote growth and development, consolidate learning and memory to ensure normal life activities. However, with the increasing of social pressure involved in work and life, the incidence of sleep disorders (SD) is increasing year by year. In the short term, sleep disorders lead to impaired memory and attention; in the longer term, it produces neurological dysfunction or even death. There are many ways to directly or indirectly contribute to sleep disorder and keep the hormones, including pharmacological alternative treatments, light therapy and stimulus control therapy. Exercise is also an effective and healthy therapeutic strategy for improving sleep. The intensities, time periods, and different types of exercise have different health benefits for sleep, which can be found through indicators such as sleep quality, sleep efficiency and total sleep time. So it is more and more important to analyze the mechanism and find effective regulation targets during sleep disorder through exercise. Dopamine (DA) is an important neurotransmitter in the nervous system, which not only participates in action initiation, movement regulation and emotion regulation, but also plays a key role in the steady-state remodeling of sleep-awakening state transition. Appreciable evidence shows that sleep disorder on humans and rodents evokes anomalies in the dopaminergic signaling, which are also implicated in the development of psychiatric illnesses such as schizophrenia or substance abuse. Experiments have shown that DA in different neural pathways plays different regulatory roles in sleep behavior, we found that increasing evidence from rodent studies revealed a role for ventral tegmental area DA neurons in regulating sleep-wake patterns. DA signal transduction and neurotransmitter release patterns have complex interactions with behavioral regulation. In addition, experiments have shown that exercise causes changes in DA homeostasis in the brain, which may regulate sleep through different mechanisms, including cAMP response element binding protein signal transduction, changes in the circadian rhythm of biological clock genes, and interactions with endogenous substances such as adenosine, which affect neuronal structure and play a neuroprotective role. This review aims to introduce the regulatory effects of exercise on sleep disorder, especially the regulatory mechanism of DA in this process. The analysis of intracerebral DA signals also requires support from neurophysiological and chemical techniques. Our laboratory has established and developed an in vivo brain neurochemical analysis platform, which provides support for future research on the regulation of sleep-wake cycles by movement. We hope it can provide theoretical reference for the formulation of exercise prescription for clinical sleep disorder and give some advice to the combined intervention of drugs and exercise.

Neuroscience,a cutting-edge field in interdisciplinary research,consistently draws considerable research interest,of which quantitatively probing the neurochemical dynamics is essential for brain science research.In vivoelectrochemical analysis,featuring with high sensitivity,high spatiotemporal resolution,free from transfection,and designable electrode/solution interfaces,provides important tools for in vivo neurochemicals sensing.Fast scan cyclic voltammetry combined with microelectrodes can not only enable precise detection of dopamine but also is compatible with existing neurosurgical equipment.This offers new opportunities for the clinical application of in vivo electrochemical analysis and paves new avenues for the diagnosis and treatment of neurological diseases.This review summarized recent progress of in vivo electrochemical techniques for brain neurochemistry and addressed key clinical challenges and their potential solutions.

Objective To analyze the situation of blood lipid and blood routine parameters in patients with pneumoconiosis,and construct a column chart diagnostic model to explore their diagnostic value for pneumo-coniosis.Methods A total of 456 patients with pneumoconiosis admitted to the First Affiliated Hospital of Chongqing Medical and Pharmaceutical College from January 2022 to January 2024 were selected as the pneu-moconiosis group,while 462 healthy subjects exposed to dust during the same period were chosen as the con-trol group.Serum lipids and blood routine parameters related to pneumoconiosis were measured and compared between two groups.Univariate and multivariate Logistic regression analyzes were conducted to examine ser-um lipids and blood routine parameters associated with pneumoconiosis.A risk prediction model was construc-ted using logistic regression in machine learning,and the diagnostic efficacy of the column chart diagnostic model was evaluated by calculating the C-index through receiver operating characteristic(ROC)curve and plotting the model calibration curve based on Hosmer Lemeshow goodness of fit.Decision curve analysis(DCA)was used to assess the clinical practicality of the column chart diagnostic model.Results The levels of serum high-density ester protein cholesterol(HDL-C),cholesterol(TC),red blood cell(RBC),hematocrit(HCT),hemoglobin concentration(HGB),lymphocyte number(LYM),and lymphocyte percentage(LYM％)in the pneumoconiosis group were lower than those in the control group(P＜0.05).The levels of neutrophil-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune inflammation index(SII)were higher than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that HDL-C,LYM％,PLR,and SII were independent influencing factors for pneumoconiosis(P＜0.05).A column chart diagnostic model for the occurrence of pneumoconiosis was constructed using HDL-C,TC,LYM％,PLR,and SII as diagnostic factors.The ROC curve C-index of the diagnostic model was 0.84(95％CI:0.81-0.86),with sensitivity for diagnosing pneumoconiosis of 75.29％,specificity of 77.51％,posi-tive predictive value of 83.25％,and negative predictive value of 67.88％.Internal validation was conducted on the constructed column chart diagnostic model,with a validation set ROC curve C-index of 0.84(95％CI:0.80-0.87),sensitivity of 80.91％,specificity of 72.62％,positive diagnostic value of 79.46％,and negative diagnostic value of 74.39％.The calibration positive curve slope of the diagnostic model was close to 1,and in the fit test P＞0.05.DCA analysis showed that the diagnostic model had clinical practical value for risk diag-nosis of pneumoconiosis.Conclusion HDL-C,TC,LYM％,PLR and SII are independent influencing factors for pneumoconiosis.A column chart diagnostic model for the occurrence of pneumoconiosis is successfully constructed based on machine learning principles,and it has been verified to have high diagnostic efficiency.

Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.

Objective To explore the expression levels of ribonucleic acid(miR)-127-5p,miR-127 and miR-155 in elderly patients with pneumonia infection by multidrug-resistant bacteria and their correlation with immune-related cytokines.Methods 65 elderly patients with pneumonia infection by multidrug-resistant bacteria,80 healthy physical examination persons and 80 elderly patients with common pneumonia in our hospital from June 2020 to June 2022 were retrospectively selected as the observation group,the control group A and the control group B,respectively.The expression levels of miR-127-5p,miR-127,miR-155,interferon-γ(IFN-γ),interleu-kin(IL-4),IL-17,and transforming growth factor-β(TGF-β)in serum samples were detected and compared among the three groups.Pearson correlation analysis analyzed the correlation between miR-127-5p,miR-127,miR-155 and IFN-γ,IL-4,IL-17,TGF-β,and the Receiver operating characteristic curve(ROC)analyzed the diagnostic value of miR-127-5p,miR-127,miR-155 alone or in combination.Results The serum levels of miR-127-5p and IFN-γ in the control group B and the observation group were lower than those in the control group A,and the both in the observation group were lower than the both in the control group B(P<0.05).The serum levels of miR-127,miR-155,IL-4,IL-17,and TGF-β in the control group B and observation group were higher than those in the control group A,and those in the observation group were higher than those in the control group B(P<0.05).There was a positive correlation between serum miR-127-5p and serum IFN-γ levels(r=0.463,P<0.05),serum miR-127 and IL-4,IL-17 or TGF-β levels(r=0.306,0.273 or 0.330,P<0.05),and serum miR-155 and IL-4,IL-17 or TGF-β levels(r=0.410,0.453 or 0.385,P<0.05),and as well as a negative correlation between serum miR-127-5p and IL-4,IL-17 or TGF-β(r=-0.378,-0.396 or-0.408,P<0.05),serum miR-127 or miR-155 and IFN-γ levels(r=-0.267 or-0.513,P<0.05).Serum miR-127-5p,miR-127 and miR-155 expression levels alone and in combination have a certain diagnostic value in elderly patients with pneumonia infec-tion by multi-drug resistant bacteria,and the area under ROC curve(AUC)values were 0.811,0.733,0.817 and 0.906,and the sensitivities were 90.77%,60.00%,67.69%,84.62%,and the specificities were 66.87%,80.62%,83.75%,83.18%.Conclusion MiR-127-5p,miR-127 and miR-155 were differentially expressed in the elderly patients with pneumonia infection by multi-drug resistant bacteria,and were correlated with immune-related cytokines to a certain extent,and the combination of the three has a good diagnostic value,thus may providing a new target for clinical diagnosis of this disease.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To screen and extract relevant evidence on the management of malnutrition in pediatric cancer patients and provide a best evidence summary.Methods:A systematic search was conducted across multiple websites and databases, including UpToDate, BMJ Best Practice, WHO website, Guidelines International Network, National Institute for Health and Care Excellence, National Guideline Clearinghouse, PubMed, Web of Science Core Collection, Embase, Cochrane Library, China National Knowledge Infrastructure, China Biology Medicine disc, Wanfang Data and others, for evidence on nutritional management of malnutrition in pediatric cancer patients. The search included literature from inception to August 31, 2023. Literature was selected following strict inclusion and exclusion criteria by researchers trained in evidence-based nursing courses. The quality of the selected literature was evaluated, and evidence was extracted and summarized.Results:A total of 11 articles were included, comprising two clinical decision papers, three guidelines, one evidence summary, two systematic reviews, and three expert consensus documents. The evidence was summarized into 24 evidence across five main areas: multidisciplinary team approach, nutritional risk screening and assessment, nutrient intake, dietary and nutritional education, and enteral and parenteral nutrition support.Conclusions:This study provides a best evidence summary for the nutritional management of malnutrition in pediatric cancer patients, offering evidence-based support for clinical practice among healthcare professionals.

Objective To construct a clinical-radiological nomo-gram model for severe mycoplasma pneumoniae pneumonia coinfec-tion with other pathogens(Co-SMPP)in children.Methods The clinical and radiological data of children with severe mycoplasma pneumoniae pneumonia(SMPP)who underwent nucleic acid testing or bronchoalveolar lavage(BAL)were analyzed retrospectively.The data analysis were performed by using SPSS 27.0 software.The group comparison between simple SMPP and Co-SMPP children was conducted by using t-tests,Mann-Whitney U tests,or chi-square tests.Nomogram analysis was performed by using R software and rms packages.The predictive performance of the model was evaluated by using the receiver operating characteristic(ROC)curve.Results A total of 194 SMPP children were included in the study,including 136 cases(70.1％)with simple SMPP,58 cases(29.9％)with Co-SMPP.The fibrinogen and albumin levels were lower in Co-SMPP children[(3.53±0.85)g/L,41.00(39.03,43.68)g/L]than in simple SMPP children[(3.79±0.80)g/L,42.80(41.00,44.40)g/L],with P values of 0.047 and 0.036,respec-tively.The probability of bronchial stenosis and grid shadow were higher in Co-SMPP children than in simple SMPP children,and there were significant differences between the two groups(P＜0.001,P=0.010).The odds ratio of bronchial stenosis in predicting Co-SMPP children was 14.085.The clinical-radiological nomogram model had an area under the curve(AUC)of 0.840,with sensi-tivity and specificity of 0.756 and 0.848,respectively.Conclusion The nomogram model based on clinical-radiological features can effectively predict Co-SMPP.

Objective:To observe the relationship between serum insulin-like growth factor binding protein-3(IGFBP-3),insulin-like growth factor-1(IGF-1)and cardiac function and short-term prognosis in patients with dilated cardiomyopathy(DCM)complicated with heart failure(HF).Methods:102 patients with DCM complicated with HF were selected as study group and they were divided into good prognosis group and poor prognosis group based on prognosis,and 100 patients with simple DCM during the same period were selected as the control group.The cardiac function indicators[left ventricular end systolic volume(LVESV),left ventricular ejection fraction(LVEF),left ventricular end diastolic volume(LVEDV)]and serum IGFBP-3 and IGF-1 levels between the control group and the study group were compared.The correlation between cardiac function and IGFBP-3,IGF-1 was analyzed by pearson analysis.The serum IGFBP-3 and IGF-1 leveles between good prognosis group and poor prognosis group were compared,the correlation between prognosis and IGFBP-3,IGF-1 was analyzed by spearman.Receiver operating characteristic(ROC)curves were used to analyze the predictive value of serum levels of IGFBP-3 and IGF-1 alone and in combination for the short-term prognosis of DCM complicated with HF patients.Results:Compared with control group,study group had higher LVEDV,LVESV,IGFBP-3,IGF-1,and lower LVEF(P＜0.05).Pearson analysis results showed that,IGFBP-3 and IGF-1 were positively correlated with LVEDV and LVESV,while which was negatively correlated with LVEF(P＜0.05).Compared with good prognosis group,poor prognosis group had higher IGFBP-3,IGF-1(P＜0.05).Spearman correlation analysis results showed that,the levels of IGFBP-3 and IGF-1 were positively correlated with the poor prognosis of DCM complicated with HF patients(P＜0.05).The area under the curve(AUC)of serum IGFBP-3,IGF-1 levels,and their combined use for short-term prognosis of DCM complicated with HF patients were 0.715,0.749,and 0.831,respectively.Conclusion:Serum IGFBP-3 and IGF-1 levels are elevated in patients with DCM complicated with HF,and the changes in these two indicators are associated with poor cardiac function and prognosis in patients.The combined detection of IGFBP-3 and IGF-1 levels has a high predictive value for the short-term prognosis of DCM combined with HF.