Objective: To identify latent class characteristic of negative life events among college and middle school students and to examine their associations with cigarette, e-cigarette, and dual use experiences, thereby providing evidence for precision prevention for tobacco use among young students. Methods: Using multistage cluster sampling from 2022 to 2023, 2 347 college and middle school students were recruited from 13 cities, including Beijing, Taiyuan, Longkou, Shanghai, Suzhou, Hangzhou, Yuyao, Guangzhou, Shenzhen, Zhongshan, Chongqing, Chengdu and Chuxiong, covering northern, eastern, southern, and southwestern China. And a questionnaire was applied to collect data on demographics, family characteristics, and tobacco use experiences. Negative life events of students were measured by Adolescent Self rating Life Events Checklist. Latent class analysis (LCA) was conducted to identify distinct subgroups of negative life events, and multivariable generalized estimating equation (GEE) model was used to assess associations between negative life events of different classes and tobacco use experiences among college and middle school students. Results: Three latent classes for negative life events of interviewed students were identified by LCA: a low risk group ( n = 1 606, 68.4%), an interpersonal-academic stress group ( n =704, 30.0%), and a multiple high risk group ( n =37, 1.6 %). Multivariable GEE model revealed that, compared with the low risk group, the interpersonal-academic stress group had higher risk of cigarette use ( OR=1.78, 95%CI =1.25-2.53), e-cigarette use ( OR=2.33, 95%CI =1.58-3.43), and dual use ( OR= 1.99, 95%CI =1.28-3.08) (all P <0.01). The multiple high risk group showed substantially elevated risk for cigarette use ( OR=5.98, 95%CI =2.56-13.98), e-cigarette use ( OR=7.94, 95%CI =3.35-18.83), and dual use ( OR=4.85, 95%CI =1.81-12.99) (all P < 0.01). Conclusion Negative life events among college and middle school students exhibit marked heterogeneity, with a cumulative risk gradient for tobacco use risk.

OBJECTIVE To systematically investigate the changes of volatile components in Euphorbia wallichii after milk and wine processing， and preliminarily elucidate the material basis for reducing toxicity. METHODS Using headspace gas chromatography-mass spectrometry technology， the volatile components in raw E. wallichii， milk-processed E. wallichii， and wine- processed E. wallichii were isolated and identified， and the relative percentage content of each component was calculated by the peak area normalization method. Combining chemometric methods such as principal component analysis and orthogonal partial least- squares discriminant analysis， changes in volatile components in samples after milk and wine processing were compared. Differential components were screened. RESULTS A total of 66 volatile components were identified from the three samples， with the types of compounds primarily comprising alkanes， olefins， heterocycles and esters， among others. A total of 39， 24 and 36 volatile components were identified from raw E. wallichii， milk-processed E. wallichii， and wine-processed E. wallichii， respectively， with 10 components common to all three preparations. Compared with raw E. wallichii， the relative percentage of other components in milk-processed E. wallichii decreased， except for alkanes and esters. The relative percentage of alkanes， olefins， aldehydes and esters in wine-processed E. wallichii increased， but the contents of heterocyclic compounds， ketones， ethers and alcohols decreased. The results of chemometric analysis showed that the volatile components of raw and processed products were significantly different. A total of 5 kinds of differential components in milk-processed products and 3 kinds of differential components in wine-processed products were screened out. Among them， the relative percentage of potential toxic components such as linalool， octanal and 3-pentanone decreased significantly after processing（P＜0.05）. CONCLUSIONS Milk and wine processing may exert a toxicity-reducing effect by reducing the contents of toxic components such as linalool， octanal and 3-pentanonein E. wallichii.

Background and aims:Primary sclerosing cholangitis(PSC)is an autoimmune liver disease characterized by complex pathogenesis and limited available therapeutic options.The mechanisms underlying the development and progression of PSCs remain unclear.Liver X receptor beta(LXR-β)is recognized to modulate lipid metabolism and immune response,but its specific involvement in the PSC has not been elucidated.Here,we explored the role and mechanism of LXR-β in PSC induced by 3,5-diethoxycarbonyl-1,4-dihydro-2,4,6-collidine(DDC).Methods:CRISPR-Cas9 technology was applied to generate Abcb4(coding MDR2,next named as Mdr2),Nr1h2(coding LXR-β,next named as Lxrβ),and Rag2(coding RAG2)knockout mice.DDC was used to induce PSC.Hematoxylin and eosin and Sirius red staining were used to assess the extent of hepatic injury and fibrosis.Flow cytometry was used to observe immune cell subsets.Results:We observed a declining trend in hepatic Lxrβ in the PSC model.Unexpectedly,Lxrβ knockout failed to modulate DDC-induced PSC pathogenesis.Concomitantly,assessment of the influence of Rag2 deficiency on PSC progression revealed the absence of aggravated or alleviated hepatic injury or fibrosis in the Rag2-/-DDC mice.However,Lxrβ depletion intensified DDC-induced PSC in the Rag2-/-mice,with more abundant infiltrative inflammatory cells and more severe liver fibrosis.Compared with Rag2-/-DDC mice,Lxrβ-/-Rag2-/-DDC mice had higher serum ALT and AST levels and mRNA expression of proinflammatory and profibrotic genes.Flow cytometry showed that LXR-β deficiency resulted in a diminished population of hepatic innate immune cells.Conclusion:This study indicated innate immune cell LXR-β deficiency can exacerbate hepatic injury and fibrosis in murine models of PSC suggesting that LXR-β may regulate the function of innate immunity in the fibrotic advancement of PSC.

BackgroundThe functional changes of the default mode network （DMN） are closely related to the onset of major depressive disorders. However， the relationship between the DMN subsystem （core subsystem， dorsomedial prefrontal cortex subsystem， medial temporal lobe subsystem） and symptoms of first-episode major depressive disorder remains unclear. ObjectiveTo investigate abnormal functional connectivity between DMN subsystems and the whole brain in first-episode major depressive disorder patients during the resting-state， and to analyse the correlations between these functional connectivity patterns and clinical symptoms， so as to reveal the potential neural mechanisms from the perspective of DMN subsystem. MethodsFrom September 2020 to September 2023， a total of 64 first-episode outpatients and inpatients meeting the diagnostic criteria for major depressive disorder in the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） were enrolled at the Inner Mongolia Autonomous Region Mental Health Center as the study group. During the same period， 54 healthy volunteers matched for age， gender， and years of education were recruited from the community as the control group. Both groups were assessed using the Hamilton Depression Scale-24 item （HAMD-24）. Resting-state functional magnetic resonance images （rs-fMRI） of the two groups were acquired using a Siemens 3.0 T scanner， and differences in functional connectivity between DMN subsystems （core subsystem， dorsomedial prefrontal cortex subsystem， medial temporal lobe subsystem） and the whole brain were compared. The functional connectivity values of brain regions with statistically significant differences between the two groups were extracted. Spearman's rank correlation coefficient analysis was used to investigate the correlation between these functional connectivity values and HAMD-24 scores of the study group. ResultsUltimately， 46 patients and 43 controls completed the study. Compared with the control group， the study group exhibited significantly stronger functional connectivity in the following pathways： between the right superior parietal lobule （core subsystem） and right cerebellar lobule VIII （t=3.954， P<0.05， GRF-corrected）， between the right lateral temporal cortex （dorsomedial prefrontal cortex subsystem） and right cerebellar lobule VIII， right and left hippocampi， right medial， and paracingulate gyrus （t=4.595， 4.208， 5.200， 4.038， P<0.05， GRF-corrected）， and between the temporoparietal junction （dorsomedial prefrontal cortex subsystem） and left lingual gyrus and right cerebellar lobule VIII （t=3.557， 4.274， P<0.05， GRF-corrected）. Conversely， weaker functional connectivity was observed between the right inferior frontal gyrus and left gyrus rectus （t=-3.824， P<0.05， GRF-corrected）. Furthermore， within the study group， the functional connectivity values between the right lateral temporal cortex and right hippocampus， as well as between the temporoparietal junction and right cerebellar lobule VIII， were both negatively correlated with the HAMD-24 cognitive impairment factor score （r=-0.306， -0.318， P<0.05）. ConclusionIncreased functional connectivity between the DMN （specifically its core and dorsomedial prefrontal cortex subsystems） and cerebellum， partial limbic system， and lingual gyrus may be associated with the neuropathology of first-episode major depressive disorder. Furthermore， alterations in functional connectivity between the dorsomedial prefrontal cortex subsystem and both the cerebellum and hippocampus in these patients may be related to cognitive function. ［Funded by 2019 Annual Inner Mongolia Autonomous Region Natural Science Foundation Project （number， 2019MS03038）； 2023 Annual Inner Mongolia Autonomous Region Natural Science Foundation Project （number， 2023MS08028）］

Objective:To investigate the efficacy and treatment adherence of digital cognitive behavioral therapy for insomnia (dCBT-I) in patients with insomnia disorder accompanied by anxiety and depressive symptoms, and to provide empirical evidence for its clinical application.Methods:From December 2023 to December 2024, 102 patients with insomnia disorder accompanied by anxiety and depressive symptoms were recruited from the outpatient department of Inner Mongolia Brain Hospital and randomly assigned to either the dCBT-I group ( n=56) or the digital sleep hygiene education (dSHE) group ( n=46). The dCBT-I group received a 4-week intervention comprising 5 core modules, while the dSHE group received 4 weeks of digital sleep hygiene education. Both groups received weekly guidance from clinical psychologists. Subjective sleep quality (Insomnia Severity Index, ISI), anxiety (Hamilton Anxiety Scale, HAMA), and depressive symptoms (17-item Hamilton Depression Scale, HAMD 17) were assessed at baseline, week 4, week 8, and week 12. Objective sleep parameters (polysomnography, PSG) and cognitive function (Repeatable Battery for the Assessment of Neuropsychological Status, RBANS) were evaluated at baseline and week 4. Linear mixed-effects model was used to analyze the effects of group, timepoint, and their interaction on outcome measures, after controlling medication history, age, sex, education level, ethnicity, and marital status as covariates. Results:A total of 76 patients (dCBT-I: n=42; dSHE: n=34) completed the 4-week intervention, yielding a treatment adherence rate of 74.5%(76/102). At weeks 4, 8, and 12, the dCBT-I group demonstrated significantly lower scores on the ISI, HAMA, and HAMD 17 scales compared to the dSHE group (β=-1.70--0.66, t=-15.38--6.21, all P<0.05), along with higher rates of medication reduction (χ 2=16.40, 9.22, 6.66, all P<0.05). No significant differences were observed in PSG parameters between the two groups. However, the dCBT-I group demonstrated significant improvements in RBANS subdomains, including immediate memory, language function, and delayed memory (β=0.45, 0.86, 1.43, t=3.09, 2.67, 4.36, all P<0.05). Conclusion:dCBT-I is an effective and well-adhered intervention for patients with insomnia disorder accompanied by anxiety and depressive symptoms, warranting broader clinical implementation.

Objective:To investigate the efficacy and treatment adherence of digital cognitive behavioral therapy for insomnia (dCBT-I) in patients with insomnia disorder accompanied by anxiety and depressive symptoms, and to provide empirical evidence for its clinical application.Methods:From December 2023 to December 2024, 102 patients with insomnia disorder accompanied by anxiety and depressive symptoms were recruited from the outpatient department of Inner Mongolia Brain Hospital and randomly assigned to either the dCBT-I group ( n=56) or the digital sleep hygiene education (dSHE) group ( n=46). The dCBT-I group received a 4-week intervention comprising 5 core modules, while the dSHE group received 4 weeks of digital sleep hygiene education. Both groups received weekly guidance from clinical psychologists. Subjective sleep quality (Insomnia Severity Index, ISI), anxiety (Hamilton Anxiety Scale, HAMA), and depressive symptoms (17-item Hamilton Depression Scale, HAMD 17) were assessed at baseline, week 4, week 8, and week 12. Objective sleep parameters (polysomnography, PSG) and cognitive function (Repeatable Battery for the Assessment of Neuropsychological Status, RBANS) were evaluated at baseline and week 4. Linear mixed-effects model was used to analyze the effects of group, timepoint, and their interaction on outcome measures, after controlling medication history, age, sex, education level, ethnicity, and marital status as covariates. Results:A total of 76 patients (dCBT-I: n=42; dSHE: n=34) completed the 4-week intervention, yielding a treatment adherence rate of 74.5%(76/102). At weeks 4, 8, and 12, the dCBT-I group demonstrated significantly lower scores on the ISI, HAMA, and HAMD 17 scales compared to the dSHE group (β=-1.70--0.66, t=-15.38--6.21, all P<0.05), along with higher rates of medication reduction (χ 2=16.40, 9.22, 6.66, all P<0.05). No significant differences were observed in PSG parameters between the two groups. However, the dCBT-I group demonstrated significant improvements in RBANS subdomains, including immediate memory, language function, and delayed memory (β=0.45, 0.86, 1.43, t=3.09, 2.67, 4.36, all P<0.05). Conclusion:dCBT-I is an effective and well-adhered intervention for patients with insomnia disorder accompanied by anxiety and depressive symptoms, warranting broader clinical implementation.

Objective:To report single-center clinical experience with endovascular recanalization for non-acute symptomatic intracranial vertebral artery occlusion, to assess the feasibility and safety of endovascular recanalization and to propose the benefit group for selected patients.Methods:From January 2019 to December 2021, 92 patients with non-acute symptomatic intracranial vertebral artery occlusion who underwent endovascular recanalization were retrospectively analyzed. The patients were divided into three groups (low, medium and high-risk group) according to occlusion length, occlusion duration, occlusion nature, calcification of the occlusion segment, and occlusion angulation, and the indicators of patients in each group were analyzed, including the general baseline data of the patients, surgical status and follow-up results. The technical success and perioperative complication rates of low, medium and high-risk groups were calculated. Meanwhile, the differences between three groups were evaluated using the χ2 test for trend or ANOVA analysis. Results:The overall technical success rate of endovascular recanalization was 83.7% (77/92), and the perioperative complication rate was 10.9% (10/92). Among the 3 classification groups, the recanalization success rate from the low-risk group to the high-risk group was 100%, 93.3%, 27.8%( P=0.047), and gradually decreased; while the overall perioperative complication rate was 0, 10.0%, 38.9% ( P=0.001), and gradually increased; the proportion of 90-day mRS score 0-2 was 100%, 83.3%, 22.2% ( P=0.026), and progressively decreased; 77 patients with successful recanalization were followed up, the rate of restenosis/reocclusion was 0, 17.9%, 80.0%( P=0.001), and progressively increased. Patients in the low-and intermediate-risk groups performed well with endovascular recanalization. In 88 patients (4 patients lost to follow-up), a median clinical follow-up of 13 (7, 16) months, stroke or death beyond 30 days was 17.4% (16/92). Conclusions:Endovascular recanalization is safe and feasible for reasonably selected patients with non-acute symptomatic intracranial vertebral artery occlusion, especially in low-and medium-risk groups, and it also provides an alternative to conservative therapy for patients with non-acute symptomatic intracranial vertebral artery occlusion.

This study investigates the metabolic regulatory effects of exogenous lactate on obesity mice induced by high-fat diet.We established obesity and metabolic disorder C57 mice model using a synthetic high-fat forage containing 60% fat.Some mice were fed with high-fat diet for 4 weeks to establish the model, being given 500 mg/(kg?d) lactate with ip for 4 weeks at the same time; the others were fed with high-fat diet for 8 weeks to establish the model, being given 500 mg/(kg?d) lactate 4 weeks after 4 weeks of modeling.During the trial period, the change of body weight and food intake, as well as serum glucose, lactate, triglycerides, insulin, and liver glycogen levels of both groups of mice were measured.Oral glucose tolerance test (OGTT) and insulin tolerance test (ITT) were used to assess glucose metabolism and insulin resistance in the body.At the end of the experiment, adipose tissue was dissected for weighing and histopathological examination.The expression of lipid synthesis and lipolysis genes in adipose tissue was detected by real-time PCR.The results showed that: (1) in the 4-week preventive medication trial, lactate had no significant effect on the body weight of normal and high-fat diet (HFD) mice, yet it increased the subcutaneous fat/visceral fat weight ratio; lactate could significantly reduce fasting blood glucose and liver glycogen levels in HFD mice while increasing blood lactate levels, significantly improving impaired glucose tolerance in HFD mice; lactate could improve the size and arrangement of adipocytes in the HFD group while significantly down-regulating the expression of fatty acid synthesis and lipolysis genes in adipose tissue; (2) in the 8-week treatment, both routes of lactate administration could partially reduce body weight in HFD group mice and reduce food intake, with the improvement trend for fat weight; both routes of lactate administration could significantly reduce fasting blood glucose levels in HFD mice, while significantly improving glucose and insulin tolerance, with some improvement of fasting insulin levels and insulin resistance index; both routes of lactate administration showed different degrees of improvement effect on adipocyte morphology in obese mice while significantly down-regulating lipolysis gene expression in adipose tissue.Therefore, for high-fat diet-induced obese mice with metabolic imbalance, exogenous lactate can stimulate glucose metabolism, inhibit adipose tissue lipolysis, and prevent adipocyte hypertrophy, thereby improving glucose tolerance and insulin sensitivity and reducing sugar-lipid metabolic disorder.

Objective:Based on single-center clinical results of endovascular recanalization for symptomatic non-acute internal carotid artery occlusion (ICAO), a new patient classification method is proposed to distinguish the most suitable ICAO patient subgroups for endovascular recanalization.Methods:A total of 140 patients with symptomatic non-acute ICAO accepted endovascular recanalization in Department of Cerebrovascular Intervention, He'nan Provincial People's Hospital from January 2019 to December 2021 were selected. These patients were divided into low risk group ( n=57), medium risk group ( n=54) and high risk group ( n=29) according to the occlusion segments, occlusion times, plaque features, calcification at the occlusion site and occlusion segment angulation. The immediate postoperative recanalization rate, perioperative complications, perioperative death, and prognoses 90 d after endovascular recanalization (modified Rankin scale scores of 0-2 as good prognosis) were evaluated in the 3 groups. Results:The immediate postoperative recanalization rate was 82.9% (114/140), perioperative complication rate was 11.4% (16/140), and perioperative mortality was 0.7% (1/140). The success recanalization rate decreased gradually from the low risk group to the high risk group (100%, 85.2%, and 37.9%), while the perioperative complication rate was the opposite (0%, 11.1%, and 34.5%), with significant differences ( P<0.05). Ninety d after endovascular recanalization, 109 patients had good prognosis and 27 had poor prognosis; the good prognosis rate in low risk group, medium risk group and high risk group was 98.2%, 79.6% and 34.5%, respectively, with significant differences ( P<0.05). The vascular restenosis rate in low risk group, medium risk group and high risk group was 0%, 8.7% and 18.2%, and re-occlusion rate was 0%, 6.5% and 27.2%, respectively, 90 d after endovascular recanalization, with significant differences ( P<0.05). Conclusion:Endovascular recanalization is technically feasible for patients with symptomatic non-acute ICAO, especially those met the criterions of low and medium risk groups in our study.

Objective:To investigate the differences of white matter diffusion properties between vulnerable and resistant individuals to continuous attention after sleep deprivation.Methods:According to the psychomotor vigilance test performance before and after sleep deprivation, the participants were divided into the vulnerable group( n=24) and resistant group( n=25). All participants underwent diffusion tensor imaging (DTI) scans.Tract based spatial statistics(TBSS) was used to compare fractional anisotropy(FA), mean diffusivity(MD), axial diffusivity(AD), radial diffusivity(RD) maps between the two groups.Spearman correlation analysis was conducted by SPSS 24.0 to investigate the relationships between the altered DTI metrics and PVT task performance. Results:(1) Compared with resistant group, FA value of vulnerable group decreased in the body of corpus callosum(x, y, z=-8, 9, 25, t=-7.855), right superior longitudinal fasciculus(x, y, z=-39, -7, 26, t=-6.252), bilateral anterior limb of internal capsule(x, y, z=-13, 8, 13, t=-5.235; x, y, z=12, 8, 3, t=-5.024) and right posterior thalamic radiation(x, y, z=-26, -56, 17, t=-5.469)(TFCE corrected, P<0.05, cluster size≥50 voxel). (2) Compared with resistant group, MD value of vulnerable group increased in the body of corpus callosum(x, y, z=-3, -6, 26, t=7.613), right superior longitudinal fasciculus(x, y, z=-31, -19, 38, t=5.314), bilateral anterior limb of internal capsule(x, y, z=-16, 7, 8, t=6.898; x, y, z=15, 5, 7, t=6.652), splenium of corpus callosum(x, y, z=27, -53, 17, t=6.541), and AD value increased in the right superior longitudinal fasciculus(x, y, z=-33, -19, 39, t=4.892), splenium of corpus callosum(x, y, z=-22, -49, 21, t=5.450), genu of corpus callosum(x, y, z=4, 26, 0, t=4.332), as well as RD value increased in the right superior corona radiata(x, y, z=-17, 1, 33, t=7.558), body of corpus callosum(x, y, z=4, -8, 26, t=6.699), right anterior limb of internal capsule(x, y, z=-12, 7, 3, t=5.212) (TFCE corrected, P<0.05, cluster size≥50 voxel). (3) Correlational analysis revealed that the negative correlations were found between PVT task performance and the FA value in the right superior longitudinal fasciculus( r=-0.492, P<0.001), right anterior limb of internal capsule( r=-0.510, P<0.001), right posterior thalamic radiation( r=-0.502, P<0.001) and body of corpus callosum( r=-0.464, P<0.001). The positive correlations were found between PVT task performance and the MD value in the body of corpus callosum( r=0.500, P<0.001), right superior longitudinal fasciculus( r=0.499, P<0.001), splenium of corpus callosum( r=0.462, P<0.001), right anterior limb of internal capsule( r=0.471, P<0.001), and AD value in right superior longitudinal fasciculus( r=0.643, P<0.001), as well as RD value in right superior corona radiate( r=0.498, P<0.001) (Bonferroni corrected, P<0.003). Conclusion:Differences in the microstructural characteristics of white matter fiber tracts in specific brain regions may constitute the potential neuropathological basis for the phenotypes of vulnerable and resistant individuals to continuous attention after sleep deprivation.