ObjectiveTo investigate the effects of Yueju Wan on the 5-hydroxytryptamine （5-HT） signaling pathway in rats with functional dyspepsia （FD） and to explore its therapeutic mechanism in the treatment of FD. MethodsSixty Sprague-Dawley （SD） rats were randomly divided into a normal group， model group， mosapride group （1.575 mg·kg^-1）， and Yueju Wan low-， medium-， and high-dose groups （0.735， 1.47， and 2.94 g·kg^-1， respectively）. The FD rat model was established using GUO's tail-clamping stimulation combined with irregular feeding. After 14 days of modeling， rats were administered the corresponding drugs by gavage for 28 days. After treatment， gastric emptying rate and small intestinal propulsion rate were measured. Serum levels of 5-HT， tryptophan hydroxylase （TPH）， and substance P （SP） were detected by enzyme-linked immunosorbent assay （ELISA）， and acetylcholine （ACh） levels were determined by chemical methods. Histopathological changes in the gastric antrum were observed using hematoxylin-eosin （HE） staining. Real-time quantitative polymerase chain reaction （Real-time PCR） and Western blot were used to assess the mRNA and protein expression levels of 5-hydroxytryptamine 4 receptor （5-HT4R）， SP， and acetylcholinesterase （AChE） in colon tissue， as well as 5-hydroxytryptamine 3 receptor （5-HT3R）， SP， and AChE in hypothalamic tissue. Immunohistochemistry （IHC） was used to examine the expression of 5-HT and 5-HT4R in the colon and 5-HT and 5-HT3R in the hypothalamus. ResultsCompared with the normal group， the gastric emptying rate and small intestinal propulsion rate in the model group were significantly decreased （P<0.01）. Serum levels of 5-HT， SP， ACh， and TPH were significantly reduced （P<0.01）. Histopathological examination revealed irregular arrangement of glands in the gastric antrum， slight mucosal atrophy， and mild inflammatory cell infiltration. The mRNA and protein expression levels of 5-HT4R， SP， and AChE in colon tissue， as well as 5-HT3R， SP， and AChE in hypothalamic tissue， were significantly decreased （P<0.01）， and 5-HT protein expression in both the colon and hypothalamus was also significantly reduced （P<0.01）. Compared with the model group， all Yueju Wan groups showed significantly increased gastric emptying rate and small intestinal propulsion rate （P<0.01）. The glands in the gastric antrum were more regularly arranged， with no inflammatory cell infiltration observed. Serum levels of 5-HT， SP， ACh， and TPH were significantly increased （P<0.01）. The mRNA and protein expression levels of 5-HT4R， SP， and AChE in colon tissue and 5-HT3R， SP， and AChE in hypothalamic tissue were significantly upregulated （P<0.05， P<0.01）， and 5-HT protein expression in both the colon and hypothalamus was significantly increased （P<0.01）. ConclusionYueju Wan has preventive and therapeutic effects on FD， and its mechanism may be related to regulation of the 5-HT signaling pathway， promotion of brain-gut peptide secretion， and enhancement of gastric motility.

Objective: To investigate the situation and influencing factors of school bullying experienced by primary and middle school students, so as to provide the basis for formulating school bullying intervention measures and promoting students' physical and mental health development. Methods: All the counties (cities, districts) in Zhejiang Province were stratified to urban and suburban areas, primary, junior high and senior high school students were selected using a stratified cluster sampling method. Basic information, lifestyle and school bullying were collected through questionnaire surveys. Factors affecting school bullying experienced by primary and middle school students were analyzed using a multivariable logistic regression model. Results: Totally 137 846 valid questionnaires were recovered, with an effective recovery rate of 97.17%. There were 72 526 males (52.61%) and 65 320 females (47.39%). There were 47 561 primary school students (34.50%), 47 701 junior high school students (34.61%) and 42 584 senior high school students (30.89%). A total of 3 987 students suffered from school bullying, accounting for 2.89%. The proportions of being maliciously teased, being intentionally excluded from group activities/isolated, being teased about physical defects or appearance, being hit/kicked/pushed/shoved/locked in a room, being threatened, and being extorted for money were 2.04%, 1.18%, 1.11%, 0.86%, 0.84% and 0.83%, respectively. Multivariable logistic regression analysis showed that the students who were males (OR=1.122, 95%CI: 1.048-1.202), lived in suburban areas (OR=1.322, 95%CI: 1.233-1.418), lived in areas with medium (OR=1.086, 95%CI: 1.006-1.173) or underdeveloped (OR=1.298, 95%CI: 1.191-1.415) economic level, had higher academic levels (junior high school, OR=1.380, 95%CI: 1.270-1.499; senior high school, OR=1.210, 95%CI: 1.083-1.351), lived on campus (OR=1.489, 95%CI: 1.372-1.616), engaged in fights (OR=6.029, 95%CI: 5.585-6.509), attempted to smoke (OR=1.320, 95%CI: 1.128-1.545), drank (OR=1.735, 95%CI: 1.575-1.912), were scolded and beaten by parents (OR=1.972, 95%CI: 1.822-2.135) and were obese (OR=1.240, 95%CI: 1.132-1.360) were more likely to experience school bullying. Conclusion The harm of school bullying to the physical and mental health of primary and middle school students should be taken seriously, and active policy measures should be adopted to strengthen intervention.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

AIM: To investigate timing of glucocorticoids use in the treatment of syphilitic uveitis.METHODS: A retrospective study was conducted in 110 patients(134 eyes)with syphilitic uveitis diagnosed from January 2008 to January 2021, of whom 24 were binocular. The time from onset to treatment was 1 d to 3 mo. They were divided into three groups according to the treatment, including 98 eyes with completed clearely fundus lesions and no abnormalities in fundus fluorescein angiography(FFA)+ indocyanine green angiography(ICGA)+ optical coherence tomography(OCT)after treated with antibiotics alone for 1 to 2 wk in single antibiotics group, 26 eyes with in completely cleared fundus lesions and retinal vessels wall staining observed by FFA or choroidal weak fluorescence observed by ICGA after standard antisyphilitic treatments for 1 to 2 wk in first antibiotics followed by hormones group, and 10 eyes treated according to uveitis at other hospital in the absence of a clear cause of disease, that was intravenously dripped with 250 mL of normal saline and 10 mg of dexamethasone once a day for 7 to 10 d in total, then clearly diagnosed as syphilitic uveitis by Treponema pallidum particle agglutination(TPPA)test after receiving treatment for 10 to 14 d in hormones followed by antibiotics group. The best corrected visual acuity, slit-lamp examination, fundus photography, OCT, FFA, ICGA and prognosis of the three groups of patients were compared.RESULTS: There were statistically significant difference in the best corrected visual acuity, optic disc, retinal vasculitis, choroidal weak fluorescence, and RPR titer before and after treatment of the three groups of patients. The prognosis of the hormones followed by antibiotics group was lower than that in the single antibiotics group and antibiotics followed by hormones group, and the proportion of “good” prognosis in the antibiotics followed by hormones group was larger than that in other groups.CONCLUSION: Early diagnosis and regular treatment of syphilitic uveitis has a good overall prognosis, and giving large doses of glucocorticoids before thorough antisyphilitic treatments is not conducive to the recovery of disease. In patients with residual lesions after standard antisyphilitic, the application of small doses of glucocorticoids is helpful for the recovery of the disease.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Neurofibromatosis type 1 (NF1) presents with a diverse range of symptoms that can affect the skin, bones, eyes, central nervous system, and other organs. This article reports the diagnosis and treatment process of a patient with NF1 complicated by bilateral severe-to-profound sensorineural hearing loss. Genetic testing revealed a heterozygous variant of NF1 NM_ 000267.3: c.4054_ 4058del(p.Ser1352LeufsTer20, supporting the diagnosis of NF1. After thorough evaluation, a right cochlear implantation was performed, yielding satisfactory postoperative results. This case suggests that NF1 patients may exhibit phenotypic heterogeneity and atypicality, providing a reference for clinicians in the diagnosis and treatment of such patients.

OBJECTIVE: To screen the population for acupuncture treatment of neck pain, using functional magnetic resonance imaging (fMRI) technology and based on machine learning algorithms. METHODS: Eighty patients with neck pain were recruited. Using FPX25 handheld pressure algometer, the tender points were detected in the areas with high-frequent onset of neck pain and high degree of acupoint sensitization. Acupuncture was delivered at 4 tender points with the lowest pain threshold, once every two days; and the treatment was given 3 times a week and for 2 consecutive weeks. The amplitude of low-frequency fluctuation (ALFF) of the brain before treatment was taken as a predictive feature to construct support vector machine (SVM), logistic regression (LR), and K-nearest neighbors (KNN) models to predict the responses of neck pain patients to acupuncture treatment. A longitudinal analysis of the ALFF features was performed before and after treatment to reveal the potential biological markers of the reactivity to the acupuncture therapy. RESULTS: The SVM model could successfully distinguish high responders (48 cases) and low responders (32 cases) to acupuncture treatment, and its accuracy rate reached 82.5%. Based on the SVM model, the ALFF values of 4 brain regions were identified as the consistent predictive features, including the right middle temporal gyrus, the right superior occipital gyrus, and the bilateral posterior cingulate gyrus. In the patients with high acupuncture response, the ALFF value in the left posterior cingulate gyrus decreased after treatment (P<0.05), whereas in the patients with low acupuncture response, the ALFF value in the right superior occipital gyrus increased after treatment (P<0.01). The longitudinal functional connectivity (FC) analysis found that compared with those before treatment, the high responders showed the enhanced FC after treatment between the left posterior cingulate gyrus and various regions, including the bilateral Crus1 of the cerebellum, the right insula, the bilateral angular gyrus, the left medial superior frontal gyrus, and the left middle cingulate gyrus (GRF: corrected, voxel level: P<0.05, mass level: P<0.05). In contrast, the low responders exhibited the enhanced FC between the left posterior cingulate gyrus and the left Crus2 of the cerebellum, the left middle temporal gyrus, the right posterior cingulate gyrus, and the left angular gyrus; besides, FC was reduced in low responders between the left posterior cingulate gyrus and the right supramarginal gyrus (GRF: corrected, voxel level: P<0.05, mass level: P<0.05). CONCLUSION This study validates the practicality of pre-treatment ALFF feature prediction for acupuncture efficacy on neck pain. The therapeutic effect of acupuncture on neck pain is potentially associated with its impact on the default mode network, and then, alter the pain perception and emotional regulation.
Humans ; Neck Pain/physiopathology* ; Acupuncture Therapy ; Female ; Male ; Adult ; Middle Aged ; Machine Learning ; Magnetic Resonance Imaging ; Young Adult ; Brain/physiopathology* ; Acupuncture Points ; Aged

OBJECTIVE: To observe the clinical effect of acupuncture-moxibustion therapy of Daoqi Tongluo (conducting qi and unblocking collateral) on chronic primary tinnitus. METHODS: A total of 32 patients with chronic primary tinnitus were included and treated with the acupuncture-moxibustion therapy of Daoqi Tongluo. This regimen was composed of abdominal acupuncture, body acupuncture, warm needling and posterior-auricular local flashing cupping, Zhongwan (CV12), Guanyuan (CV6) and Yindu (KI9), Tinggong (SI19), Cong'er point, Waiguan (TE5) of the affected side, etc. are selected. The treatment was given once every two days, 3 treatments a week; and one course of intervention was required, with 10 treatments included. Before and after treatment, the scores of tinnitus handicap inventory (THI), tinnitus evaluation questionnaire (TEQ), self-rating scale of sleep (SRSS), self-rating anxiety scale (SAS), and self-rating depression scale (SDS) were observed, and the clinical effect was evaluated. RESULTS: After interventions, the scores of THI, TEQ, SRSS, SAS and SDS were reduced in comparison with those before interventions in the patients (P<0.001, P<0.01, P<0.05), and the total effective rate was 71.9% (23/32). CONCLUSION Acupuncture-moxibustion therapy of Daoqi Tongluo is effective on chronic primary tinnitus and this therapy can alleviate tinnitus degree, improve sleep quality and attenuate the anxious and depressive emotion of the patients.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Acupuncture Points ; Acupuncture Therapy ; Chronic Disease/therapy* ; Moxibustion ; Tinnitus/psychology* ; Treatment Outcome