In recent years, China's manned space program has advanced rapidly, with deep space exploration missions such as manned lunar landing steadily progressing, leading to a significant extension of astronauts' duration in outer space. In this context, the impact of the space magnetic field environment on astronaut health has become increasingly conspicuous. Characterized by its complexity, the spatial magnetic field indirectly regulates the circadian rhythm system by interfering with mitochondrial functions, such as electron transport chain activity, ATP synthesis efficiency, and reactive oxygen species (ROS) balance. This disruption can lead to circadian misalignment, sleep disorders, metabolic dysregulation, and other issues, severely compromising astronauts' physical and mental well-being, as well as mission performance. Currently, researchers have carried out extensive investigations into the influence of the space magnetic environment on circadian rhythms. Nevertheless, due to disparities in magnetic field parameters, exposure durations, and the model organisms employed in experiments, the results have been inconsistent. This review systematically elaborates on ground-based simulation technologies for spatial magnetic field environments and their applications, summarizes the effects of magnetic fields with varying intensities and types on core circadian rhythm biomarkers in model organisms and humans, and explores the underlying molecular and physiological mechanisms of magnetic field-induced circadian rhythm perturbation. This work aims to deepen the understanding of the mechanisms of the space magnetic environment on biological rhythms, and establish a scientific basis for formulating adaptive protective strategies centered on circadian regulation for astronauts, thereby ensuring the successful implementation of long-term deep-space missions.
Circadian Rhythm/physiology* ; Humans ; Magnetic Fields/adverse effects* ; Space Flight ; Animals ; Extraterrestrial Environment

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

Objective: To analyze the association between exposure patterns of adverse childhood experiences (ACEs) and anxiety symptom trajectories in medical college students. Methods: A survey was conducted on first-year students from Anhui Medical College and Anqing Medical College, using the Childhood Abuse Questionnaire, Family Disability Questionnaire, Childhood Adverse Social Experience Item, and Anxiety Self Rating Scale. The baseline survey was conducted from November to December 2019, and two follow-up visits were conducted once every six months until November to December 2020. The latent class analysis (LCA) was used to analyze the exposure patterns of ACEs. The latent class growth analysis (LCGA) was used to analyze the development trajectory of anxiety symptoms. The multiple logistic regression model was used to analyze the correlation between different exposure patterns of ACEs and the trajectory of anxiety symptom trajectories. Results: A total of 3 662 college students aged (19.2±1.0) were surveyed. The LCA showed that the exposure patterns of ACEs could be divided into the "high ACEs" group (13.4%), "high neglect/emotional abuse" group (25.7%), "high family dysfunction" group (6.9%), "high neglect" group (27.1%), and "low ACEs" group (26.3%). The LCGA divided anxiety trajectories into four groups: "high anxiety decline" (7.1%),"anxiety increase "(4.1%), "moderate anxiety"(52.9%), and "low anxiety"(35.9%). Using the low ACEs group as a reference group, compared with the low anxiety trajectory, the high ACEs group, high neglect/emotional abuse group, high family dysfunction group, high neglect group, and medium to high-level anxiety trajectory were all associated with an increased risk (P<0.05). Conclusion: There is heterogeneity in ACEs exposure patterns among medical college students, and ACEs exposure patterns are important influencing factors for anxiety symptom trajectories.
Humans ; Adverse Childhood Experiences ; Anxiety/epidemiology* ; Child Abuse/psychology* ; Students/psychology* ; Surveys and Questionnaires ; Adolescent ; Young Adult

Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
Female ; Humans ; Adolescent ; SARS-CoV-2 ; Smell ; COVID-19/complications* ; Cross-Sectional Studies ; COVID-19 Vaccines ; Incidence ; Olfaction Disorders/etiology* ; Taste Disorders/etiology* ; Prognosis

This study investigated the choroplast genome sequence of wild Atractylodes lancea from Yuexi in Anhui province by high-throughput sequencing, followed by characterization of the genome structure, which laid a foundation for the species identification, analysis of genetic diversity, and resource conservation of A. lancea. To be specific, the total genomic DNA was extracted from the leaves of A. lancea with the improved CTAB method. The chloroplast genome of A. lancea was sequenced by the high-throughput sequencing technology, followed by assembling by metaSPAdes and annotation by CPGAVAS2. Bioiformatics methods were employed for the analysis of simple sequence repeats(SSRs), inverted repeat(IR) border, codon bias, and phylogeny. The results showed that the whole chloroplast genome of A. lancea was 153 178 bp, with an 84 226 bp large single copy(LSC) and a 18 658 bp small single copy(SSC) separated by a pair of IRs(25 147 bp). The genome had the GC content of 37.7% and 124 genes: 87 protein-coding genes, 8 rRNA genes, and 29 tRNA genes. It had 26 287 codons and encoded 20 amino acids. Phylogenetic analysis showed that Atractylodes species clustered into one clade and that A. lancea had close genetic relationship with A. koreana. This study established a method for sequencing the chloroplast genome of A. lancea and enriched the genetic resources of Compositae. The findings are expected to lay a foundation for species identification, analysis of genetic diversity, and resource conservation of A. lancea.
Phylogeny ; Atractylodes/genetics* ; Genome, Chloroplast ; Whole Genome Sequencing ; Microsatellite Repeats ; Lamiales

Humans ; Gemcitabine ; Neoplasms

OBJECTIVE: To explore the clinical significance of magnetic resonance imaging water-fat separation (Dixon) technique in patients with multiple myeloma. METHODS: A total of 41 newly diagnosed patients with multiple myeloma who underwent Dixon in The Affiliated Hospital of Qingdao University from April 2019 to April 2021 were included in this study. Patients were divided into observation group and control group according to whether Dixon performance was normal or not. The differences of clinical data and fat fraction (FF) between the two groups were compared. The correlation between FF and clinical data, disease stages and differences before and after treatment were also compared. The receiver operator characteristic curve of patients was drawn to analyze the diagnostic value of FF combined with serum alkaline phosphatase for bone destruction in patients with multiple myeloma. RESULTS: Among the 41 patients, there were 12 cases in the control group and 29 cases in the observation group. There was no significant difference in age and sex between the two groups. In the observation group, β2-microglobulin concentration and M protein were significantly higher than those in the control group, while serum alkaline phosphatase and FF were lower (P<0.05). In all 41 patients included in the study, there was a significant negative correlation between FF value and β2-microglobulin concentration (r=-0.57), and a significant positive correlation between FF value and serum alkaline phosphatase (r=0.31). After treatment, FF value increased, while myeloma cell percentage, β2-microglobulin concentration and M protein decreased in 11 patients who completed 4 cycles of chemotherapy, and the differences before and after treatment were statistically significant (P<0.05). The value of serum alkaline phosphatase combined with FF value in predicting bone destruction is higher than that of FF value or serum alkaline phosphatase alone. CONCLUSION Dixon's different imaging manifestations can reflect the severity of the disease. FF value is correlated with clinical examination results and R-ISS staging, and there is a significant difference before and after treatment. Serum alkaline phosphatase combined with FF value is better than two indicators alone in predicting bone destruction.
Humans ; Magnetic Resonance Imaging ; Multiple Myeloma/diagnostic imaging* ; Technology ; Water

Objective:To study the differences in genetic relationship， shape， size， and flavonoid content between traditional and nontraditional medicinal varieties of Citri Reticulatae Semen produced in Sichuan province as well as their equivalence. Method:Six batches of traditional medicinal Citri Reticulatae Semen （Citrus reticulata 'Dahongpao'） and 23 batches of nontraditional medicinal varieties were collected， and their genetic relationship was explored using sequence-related amplified polymorphism （SRAP） markers. Following the observation of their shapes and sizes under a stereomicroscope， the contents of naringin， hesperidin， and neohesperidin were measured by high performance liquid chromatography （HPLC）. SIMCA 14.1 software was used for cluster analysis of their shapes， sizes， and flavonoid contents， thus figuring out the similarities between the traditional and nontraditional medicinal varieties in character， size， and chemical components. Result:SRAP markers-based genetic relationship analysis effectively distinguished different Citri Reticulatae Semen varieties from each other. Some samples collected from the same or adjacent places exhibited a close genetic relationship and they shared high similarities in shape， size， and flavonoid content. However， the traditional medicinal Citri Reticulatae Semen was still quite different from most nontraditional medicinal varieties. Conclusion:The analysis of differences in genetic materials， appearance， character， and active ingredient content between the traditional and nontraditional medicinal varieties revealed that the equivalence of C. reticulata 'Ponkan' samples from some regions with the traditional medicinal variety was the largest， enabling them to be considered as the emerging medicinal variety.

Objective:To evaluate the diagnostic and predictive value of ultrasonic cardiac output monitor (USCOM) in premature infants with hemodynamic significant patent ductus arteriosus (hsPDA).Methods:A total of 165 preterm infants with gestational age less than 34 weeks and within 72 hours after birth in the Neonatal Medical Center of Children′s Hospital of Nanjing Medical University from January 2018 to June 2020 were retrospectively analyzed.According to the echocardiograph (ECHO) results within 72 hours after birth, clinical manifestations and oral administration of Ibuprofen, premature infants were divided into non-patent ductus arteriosus (non-PDA group, 77 cases), non-hsPDA group (59 cases), and hsPDA group (29 cases). USCOM was performed within half of an hour after ECHO.During the course of oral medication of Ibuprofen in the hsPDA group, USCOM was repeatedly examined every 24 hours.ECHO and USCOM were re-examined within 24 hours after the course of oral medication of ibuprofen.Results:Compared with non-hsPDA group and non-PDA group, the gestational age [(31.51±1.62) weeks, (32.09±1.27) weeks vs.(30.82±1.61) weeks, F=8.425, P<0.001], birth weight [(1 154.49±192.55) g, (1 195.58±182.02) g vs.(1 094.66±153.69) g, F=3.366, P=0.037] and the mean blood pressure [(38.37±2.20) mmHg, (38.53±2.37) mmHg vs.(30.52±2.31) mmHg, 1 mmHg=0.133 kPa, F=142.860, P<0.001]were significantly lower in hsPDA group.On the contrary, the heart rate[(129.68±7.11) times/min, (130.34±7.27) times/min vs.(164.76±7.65) times/min, F=271.790, P<0.001], B-type natriuretic peptide[(203.76±108.68) ng/L, (152.43±54.24) ng/L vs.(3 385.31±856.26) ng/L, F=931.30, P<0.001] and left artrium/aorta (1.32±0.12, 1.29±0.09 vs.1.60±0.12, F=84.970, P<0.001)were significantly higher.Among the USCOM parameters, left ventricular cardiac output [(0.40±0.08) L/min, (0.40±0.08) L/min vs.(0.51±0.04) L/min, F=26.760, P<0.001], cardiac index (CI) [(3.76±0.48) L/(min·m 2), (3.54±0.30) L/(min·m 2) vs.(4.43±0.36) L/(min·m 2), F=56.060, P<0.001], stroke volume[(3.75±0.28) mL, (3.70±0.23) mL vs.(4.22±0.36)mL, F=40.170, P<0.001], stroke volume index [(34.42±2.66) mL/m 2, (34.47±3.29) mL/m 2vs.(38.45±3.32) mL/m 2, F=20.080, P<0.001], peak ejection velocity [(1.12±0.12) m/s, (1.11±0.10) m/s vs.(1.23±0.09) m/s, F=14.890, P<0.001] and corrected flow time [(379.02±22.69) ms, (376.51±27.95) ms vs.(403.69±39.04) ms, F=10.120, P<0.001]were significantly higher in hsPDA group, while systemic vascular resistance index (SVRI) [(1 109.49±115.67) ds·cm -5·m 2, (1 070.01±133.55) ds·cm -5·m 2vs.(861.31±115.22) ds cm -5m 2, F=41.130, P<0.001]was significantly lower than that of non-hsPDA and non-PDA group.The area under the receiver operating characteristic curve of CI and SVRI for predicting hsPDA were 0.916 and 0.905, respectively.The sensitivity and specificity of CI>4.05 L/(min·m 2) for predicting hsPDA was 0.828 and 0.860, respectively, which was 0.660 and 1.000 for SVRI<1 002.5 ds·cm -5·m 2.The sensitivity and specificity of combining CI and SVRI for predicting hsPDA was 0.966 and 0.949, respectively. Conclusions:USCOM has a good diagnostic and predictive value for hsPDA in premature infants.The combined application of CI and SVRI can improve the predictive value, and help formulate the early diagnostic and treatment strategy for PDA in premature infants

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome