The AP2/ERF transcription factor family is a class of transcription factors widely present in plants, playing a crucial role in regulating flowering, flower development, flower opening, and flower senescence. Based on transcriptome data from flower, leaf, and stem samples of two Lonicera macranthoides varieties, 117 L. macranthoides AP2/ERF family members were identified, including 14 AP2 subfamily members, 61 ERF subfamily members, 40 DREB subfamily members, and 2 RAV subfamily members. Bioinformatics and differential gene expression analyses were performed using NCBI, ExPASy, SOMPA, and other platforms, and the expression patterns of L. macranthoides AP2/ERF transcription factors were validated via qRT-PCR. The results indicated that the 117 LmAP2/ERF members exhibited both similarities and variations in protein physicochemical properties, AP2 domains, family evolution, and protein functions. Differential gene expression analysis revealed that AP2/ERF transcription factors were primarily differentially expressed in the flowers of the two L. macranthoides varieties, with the differentially expressed genes mainly belonging to the ERF and DREB subfamilies. Further analysis identified three AP2 subfamily genes and two ERF subfamily genes as potential regulators of flower development, two ERF subfamily genes involved in flower opening, and two ERF subfamily genes along with one DREB subfamily gene involved in flower senescence. Based on family evolution and expression analyses, it is speculated that AP2/ERF transcription factors can regulate flower development, opening, and senescence in L. macranthoides, with ERF subfamily genes potentially serving as key regulators of flowering duration. These findings provide a theoretical foundation for further research into the specific functions of the AP2/ERF transcription factor family in L. macranthoides and offer important theoretical insights into the molecular mechanisms underlying floral phenotypic differences among its varieties.
Plant Proteins/chemistry* ; Gene Expression Regulation, Plant ; Transcription Factors/chemistry* ; Lonicera/classification* ; Flowers/metabolism* ; Phylogeny ; Gene Expression Profiling ; Multigene Family

OBJECTIVE: To explore the significance of the plasma cell percentage and immature plasma cells in the prognosis of patients with multiple myeloma (MM). METHODS: The clinical data of 126 newly diagnosed MM patients in Gansu Provincial Hospital from June 2017 to November 2022 were retrospectively analyzed. The enrolled patients were divided into a higher plasma cell percentage group (group A) and a lower plasma cell percentage group (group B) according to the median plasma cell percentage (33.5%). The clinicopathological data of the two groups were compared, and the effect of plasma cell percentage on the prognosis of MM patients was analyzed using survival curves. On this basis, group A and group B were divided into subgroups with immature plasma cells (A1 group, B1 group) and subgroups without immature plasma cells (A2 group, B2 group), respectively, then the survival curves were used to analyze the effect of immature plasma cells on the prognosis of MM patients. RESULTS: Among the 126 patients with MM, the proportions of patients with ISS stage III, elevated β₂-microglobulin(β₂-MG) level, and immature plasma cells in Group A were significantly higher compared those in Group B ( P =0.015, P =0.028, P =0.010). The median overall survival(OS) and progression-free survival(PFS) of group A were 32 months and 10 months, respectively. The median OS of group B was not reached, and the median PFS was 32 months. The 3-year OS rates of patients in group A and group B were 46.7% and 62.2%, respectively ( P =0.021), and the 3-year PFS were 29.2% and 42.5%, respectively ( P =0.033). There were no significant differences in OS and PFS between group A1 and group A2, or between group B1 and group B2 ( P >0.05). Multivariate COX survival analysis showed that the plasma cell percentage ≥33.5%（HR=1.253, 95%CI : 0.580-2.889, P =0.018）, age ≥65 years (HR=2.206, 95%CI : 1.170-3.510, P =0.012), lactate dehydrogenase(LDH) ≥250 U/L (HR=1.180, 95%CI : 0.621-2.398, P =0.048) and β₂-MG ≥3.5 mg/L (HR=1.507, 95%CI : 0.823-3.657, P =0.036) were independent risk factors affecting OS in MM patients. CONCLUSION MM patients with a higher plasma cell percentage (≥33.5%) at the initial diagnosis have a later disease stage, poorer OS and PFS, compared to the patients with a lower percentage(<33.5%) of plasma cells. The presence or absence of immature plasma cells has no significant impact on the survival of MM patients.
Humans ; Multiple Myeloma/pathology* ; Prognosis ; Plasma Cells/cytology* ; Retrospective Studies ; Male ; Female ; Middle Aged ; Aged ; Bone Marrow

Background Workers in the cable manufacturing industry are exposed to high-speed machinery and equipment for a long time, coupled with heavy workload, which poses significant risks to their physical health. However, the issue of occupational injuries in this industry has not received enough attention yet. Objective To understand the incidence of occupational injury of workers in cable manufacturing industry and to analyze the influencing factors. Method A basic information questionnaire and an occupational injury questionnaire were developed to investigate the occupational injuries of 1 343 workers in a cable manufacturing enterprise in the past year, and a total of 1 225 valid questionnaires were recovered, with an effective rate of 91.2%. Descriptive statistics were used to characterize the causes, injury locations, injury types, and other characteristics of employees’ occupational injuries. Chi-square test was used to analyze the occupational injury status of groups with different demographic characteristics, occupational characteristics, lifestyles, and interpersonal relationships. Logistic regression was used to analyze the influencing factors of occupational injuries. Result The incidence of occupational injuries among workers in a cable manufacturing enterprise in the past year was 8.6%, which mainly happened in male workers (80.0%) and occurred from May to July in summer (45.7%). The main causes were mechanical injuries (32.4%) and object blows (27.6%). The main sources of damage were machinery and equipment (36.2%) as well as raw materials and products (15.2%). The main injuries were located in upper limbs (53.3%) and lower limbs (22.9%). The main types of injuries were fractures (33.3%) and abrasions/contusions/puncture wounds (19.0%). The results of univariate analysis showed that there were statistically significant variations in the incidence of occupational injuries by gender, overtime, pre-job training, years of service in current position, alcohol consumption, physical exercise per week, and co-worker relationship (P<0.05). The logistic regression model showed that workers who exercised less than twice a week, did not participate in pre-job training, worked overtime, and had fair/poor/very poor colleague relationship had a higher risk of occupational injury, while women had a lower risk of occupational injury. Conclusion The distribution of occupational injury population is mainly male, and the time distribution is mainly from May to July. Gender, physical exercise, pre-job training, overtime, and colleague relationship are the influencing factors of occupational injuries. We should strengthen pre-job training, arrange work hours reasonably, and create a good working atmosphere to reduce the occurrence of occupational injuries.

Background Social psychological factors have emerged as a key area of research in occupational injury prevention. Occupational stress, a significant component of social psychology, has garnered widespread attention due to its potential impact on occupational injury. Objective To analyze the factors influencing occupational stress among cable manufacturing workers and explore the relationship between occupational stress and occupational injury, and to provide scientific evidence for reducing occupational stress and injury. Methods A questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. Results A total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%). Conclusion Shift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

Objective To investigate the current situation of medical record writing and management in lnternet hospitals in Chongqing.Methods The medical record writing,medical record management and medical record risk of 45 lnternet hospitals in Chongqing were investigated by questionnaire and expert consultation.Results ln terms of lnternet medical record management,80.95%of them are structured medical records.61.90%had the quality control standard for medical records of lnternet hospitals.76.19%took the current quality control standard of medical records of general outpatient service as the quality control standard of medical records of lnternet hospitals.59.52%of them had a special person responsible for the quality control of medical records on the lnternet.ln terms of lnternet writing,47.62%of the current lnternet electronic medical records are simpler in format and content than the outpatient medical records of physical medical institutions,and 45.24%are consistent.Only 28.57%of people believe that the identity information of guardians of young children or patients with mental disorders needs to be recorded in medical records.ln terms of the risks of lnternet medical records,78.57%believed that there were risks in the management and writing of lnternet medical records.After medical disputes occurred,85.72%of the lnternet medical records as a legal support were at risk,of which 33.33%thought the risk was high,and 7.14%thought the risk was particularly high.Conclusion Chongqing's lnternet medical record writing and management ability needs to be further improved.lt is of practical significance to establish national or local or online medical record writing and management standards.

Objective:To investigate the correlation between leucine-rich α2 glycoprotein (LRG) and endoscopic activity in patients with Crohn′s disease (CD), based on the assessment of inflammation in small intestinal lesion by double-balloon enteroscope (DBE).Methods:From 15 August 2022 to 22 August 2023, the clinical data of 139 patients with small bowel CD diagnosed by DBE at the First Affiliated Hospital of Anhui Medical University were prospectively collected, which included fecal calprotectin (FC), C-reactive protein (CRP), white blood cell count, hemoglobin, albumin, Crohn′s disease activity index (CDAI), and simple endoscopic score for Crohn′s disease (SES-CD). According to the SES-CD, endoscopic activity was classified as mucosal healing (0), endoscopic remission (0 to 2), mild activity (3 to 6), moderate activity (7 to 15), and severe activity (≥16). LRG levels were detected in all patients. Spearman rank correlation was used to analyze the correlation between LRG, clinical biochemical parameters and endoscopic scores. Receiver operating characteristic curve (ROC) was performed to determine the optimal cut-off value of LRG for evaluating endoscopic mucosal healing. Mann-Whitney U test, Kruskal-Wallis H test, and Bonferroni corrected test were used for statistical analysis. Results:Among 139 patients with small bowel CD, the LRG level was 17.3 (13.0, 25.2) mg/L, and SES-CD was 5 (1, 9); 32 patients achieved mucosal healing, 50 patients achieved endoscopic remission; 39 patients had mild activity, 40 patients had moderate activity, and 10 patients had severe activity. The SES-CD was negatively correlated with both hemoglobin and albumin ( r=-0.177 (95% confidence interval, 95% CI: -0.334 to -0.011), -0.293 (95% CI: -0.438 to -0.133)), with statistical significance ( P=0.037, <0.001). The SES-CD was positively correlated with CRP, CDAI, LRG and FC ( r=0.344 (95% CI: 0.188 to 0.482), 0.429 (95% CI: 0.282 to 0.556), 0.525 (95% CI: 0.393 to 0.636), 0.661 (95% CI: 0.556 to 0.745)), with statistical significant (all P<0.001). For the 64 small bowel CD patients with CRP in the normal reference value, SES-CD was positively correlated with CDAI, LRG and FC ( r=0.296 (95% CI: 0.054 to 0.505), 0.364 (95% CI: 0.129 to 0.559), 0.547 (95% CI: 0.348 to 0.699)), with statistical significance ( P=0.017, =0.003, <0.001). The LRG level of patients with endoscopic mucosal healing was significantly lower than that of patients with endoscopic remission (11.5 (10.1, 17.2) mg/L vs. 17.3 (13.4, 23.5) mg/L), with statistical significance ( Z=-3.25, P<0.001). ROC analysis showed that the area under the curve (AUC) of LRG in predicting endoscopic mucosal healing was 0.81 (95% CI: 0.73 to 0.89), with an optimal cut-off value of 15.27 mg/L. The sensitivity, specificity, positive predictive value and negative predictive value were 0.757, 0.718, 0.900 and 0.469, respectively. The accuracy of the combination of LRG and FC (AUC was 0.88, 95% CI: 0.82 to 0.94) in predicting endoscopic mucosal healing was higher than that of LRG alone (AUC was 0.81, 95% CI: 0.73 to 0.89), and the difference was statistically significant ( P=0.011). Conclusion:Based on the results of DBE, LRG may be a reliable biomarker for predicting endoscopic remission and mucosal healing in patients with small bowel CD.

Objective:To summarize the clinical manifestations of anti-synthetase syndrome (ASS) with interstitial lung disease (ILD) patients with different antibody subtypes and the skeletal muscle pathology of ASS.Methods:A total of 106 ASS-ILD patients admitted to the First Medical Center of Chinese People′s Liberation Army General Hospital from May 11, 2015 to June 25, 2023 were included. Their intramuscular and extramuscular clinical manifestations were collected. The correlation between different antibody subtypes in patients with ASS and the various subtypes of ILD was investigated. The skeletal muscle pathological characteristics of 13 ASS patients were also summarized.Results:Among the 106 ASS-ILD patients, 56 (52.8%) were anti-JO-1 antibody positive, 19 (17.9%) were anti-PL-7 antibody positive, 11 (10.4%) were anti-PL-12 antibody positive, 14 (13.2%) were anti-EJ antibody positive, and 6 (5.7%) were anti-OJ antibody positive. All the patients had ILD [including nonspecific interstitial pneumonia (NSIP), usual interstitial pneumonia (UIP), organizing pneumonia (OP), mixed pneumonia]. In all the patients, 46.2% (49/106) had cardiac damage, 37.7% (40/106) had arthritis, 29.2% (31/106) had myasthenia gravis, 24.5% (26/106) had myalgia, and 19.8% (21/106) had Raynaud′s phenomenon. The incidence of NSIP was 75.0% (42/56) in the anti-JO-1 antibody-positive group, significantly higher than other groups (anti-PL-7 antibody-positive group, 8/19;anti-PL-12 antibody-positive group, 3/11;anti-EJ antibody-positive group, 5/14;anti-OJ antibody-positive group, 2/6; P=0.001). UIP was most common in the anti-PL-7 antibody-positive group (8/19). OP was most frequent in the anti-PL-12 antibody-positive group (5/11). The incidence of arthritis was highest in the anti-JO-1 antibody-positive group (51.8%, 29/56). The anti-Ro-52 antibody-positive rate was significantly higher in the anti-EJ antibody-positive group (12/14) than in the other 4 groups [anti-JO-1 antibody-positive group, 33.9% (19/56); anti-PL-7 antibody-positive group, 10/19; anti-PL-12 antibody-positive group, 6/11; anti-OJ antibody-positive group, 0/6; P=0.001]. ASS skeletal muscle pathology was manifested as necrotizing myopathy pattern (6/13), inflammatory myopathy pattern (4/13), and nonspecific myopathy pattern (3/13). All the 106 patients received methylprednisolone as the basic treatment. Among them, 69 patients (65.1%) received methylprednisolone alone, while 37 patients (34.9%) received combination therapy involving immunosuppressants, whose symptoms improved after treatment. Conclusions:A discernible correlation exists between the clinical manifestations of ASS with ILD and specific antibody subtypes. ASS patients generally respond well to immunotherapy. ASS can manifest as 3 distinct skeletal muscle pathological patterns: necrotizing myopathy pattern, inflammatory myopathy pattern, and nonspecific myopathy pattern.

Objectives:The study assessed the relationship between atherogenic index of plasma(AIP)and the rapid progression of coronary non-target lesions.Methods:A total of 1 247 patients with coronary artery disease who underwent two coronary angiography examinations at Fuwai Hospital,Chinese Academy of Medical Sciences between January 2010 and September 2014 were enrolled in this retrospective study.The AIP is defined as the base 10 logarithm of the ratio of the concentrations of triglyceride to high-density lipoprotein cholesterol.Patients were divided into the high AIP group(n=623)and the low AIP group(n=624)based on the median value of AIP.Lesion rapid progression is defined as an increase of more than 10%in the lumen stenosis of the lesion with a stenosis rate of more than 50%,or an increase of more than 30%in the lumen stenosis rate of the lesion with a stenosis rate of less than 50%,or a progression to total occlusion within 2 years.Results:Median AIP was 0.39(0.23-0.56)in this patient cohort.Rapid progression of non-target lesions occurred in 65(5.21%),including 42(6.74%)in the high AIP group.The Kaplan-Meier curve showed that the cumulative incidence of rapid progression of non-target lesions was higher in the high AIP group than in the low AIP group(HR=1.751,95%CI:1.053-2.912,log-rank P=0.028).In univariate cox analysis,the AIP and high AIP correlated with rapid progression of non-target lesions.After multivariate adjustment,AIP was an independent risk factor for rapid progression of non-target lesions(adjusted HR=2.731,95%CI:1.090-6.844,P=0.032).Conclusions:AIP is an independent risk factor for rapid progression of non-target lesions.AIP should be considered as a biomarker for estimating the risk of cardiovascular disease,along with other traditional risk factors.