Objective To understand the individual radiation dose levels and changes of occupational external exposure among radiation workers in a steel group from 2020 to 2023, and to provide a basis for strengthening radiation protection in the group. Methods According to the Specifications for individual monitoring of occupational external exposure (GBZ 128-2019), individual monitoring was conducted using a thermoluminescent dosimeter, with each monitoring cycle lasting 90 days, totaling four cycles per year. Individual monitoring data of occupational external exposure among radiation workers in the steel group from 2020 to 2023 were collected for statistical analysis. Results A total of 5889 monitoring records were collected from radiation workers across 37 affiliated units of the steel group during the period of 2020-2023. The average annual effective dose was 0.150 mSv, the maximum annual effective dose was 3.84 mSv, and 0.3% monitored workers showed annual effective doses exceeding 1 mSv. The average annual effective dose in 2023 was 0.146 mSv, which was lower than in 2020 but higher than in 2021 and 2022 (Z = −6.657 to 14.129, P < 0.001). The number of monitored workers in industrial and medical sectors accounted for 86.9% and 13.1%, respectively. Their average annual effective doses were 0.152 mSv and 0.140 mSv, respectively, and the difference was statistically significant (Z = −7.969, P < 0.001). In the industrial sector, the average annual effective dose for the monitored workers in industrial radiography was significantly higher than other occupations (Z = −8.094, P < 0.001). There was a significant difference in average annual effective dose among workers of different occupational categories in the medical sector (H = 67.040, P < 0.001). The average annual effective doses were relatively high for diagnostic radiology and nuclear medicine. Additionally, the average annual effective doses for male and female radiation workers were 0.150 mSv and 0.152 mSv, respectively (P > 0.05). Conclusion The average annual effective dose of radiation workers in the steel group was at low levels for four consecutive years, which meet the requirements of the national standard. However, to maintain the individual radiation dose levels of radiation workers as low as reasonably achievable, it remains necessary to strengthen radiation protection management in the steel group.

Quality control is a key link in the modernization process of traditional Chinese medicine(TCM). Studies have shown that the effects of active components in TCM depend on not only their chemical composition but also their suitable physical forms and states. The physical phase structures, such as micelles, vesicles, gels, and nanoparticles, can improve the solubility, delivery efficiency, and targeting precision of active components. These structures significantly enhance the pharmacological activity while reducing the toxicity and side effects, demonstrating functional activity surpassing that of active components and highlighting the key effects of "structures" on "functions" of active components. Taking the physical phase structure as a breakthrough point, this paper outlines the common types of TCM physical phase structures. Furthermore, this paper explores how to realize the quality upgrading of TCM through the precise regulation of physical phase structures based on the current applications and potential of TCM physical phase structures in processing to increase the efficacy and reduce the toxicity, compounding and decocting processes, drug delivery systems, and quality control, aiming to provide novel insights for the future quality control of TCM.
Quality Control ; Drugs, Chinese Herbal/standards* ; Medicine, Chinese Traditional/standards* ; Humans ; Drug Delivery Systems

OBJECTIVE: This study aimed to explore the interplay between the life-course body mass index (BMI) trajectories and insulin resistance (IR) on incident diabetes. METHODS: This longitudinal cohort included 2,336 participants who had BMI repeatedly measured 3-8 times between 1989 and 2009, as well as glucose and insulin measured in 2009. BMI trajectories were identified using a latent class growth mixed model. The interplay between BMI trajectories and IR on diabetes was explored using the four-way effect decomposition method. Logistic regression and mediation models were used to estimate the interaction and mediation effects, respectively. RESULTS: Three distinct BMI trajectory groups were identified: low-stable ( n = 1,625), medium-increasing ( n = 613), and high-increasing ( n = 98). Both interaction and mediation effects of BMI trajectories and IR on incident diabetes were significant ( P < 0.05). The proportion of incident diabetes was higher in the IR-obesity than in the insulin-sensitivity (IS) obesity group (18.9% vs. 5.8%, P < 0.001). After adjusting for covariates, the odds ratios (95% confidence intervals) of the IR, IS-obesity, and IR-obesity groups vs. the normal group were 3.22 (2.05, 5.16), 2.05 (1.00, 3.97), and 7.98 (5.19, 12.62), respectively. IR mediated 10.7% of the total effect of BMI trajectories on incident diabetes ( P < 0.001). CONCLUSION We found strong interactions and weak mediation effects of IR on the relationship between life-course BMI trajectories and incident diabetes. IS-obesity is associated with a lower risk of incident diabetes than IR-obesity.
Humans ; Insulin Resistance ; Body Mass Index ; Male ; Female ; Middle Aged ; China/epidemiology* ; Adult ; Longitudinal Studies ; Incidence ; Diabetes Mellitus/epidemiology* ; Aged ; Obesity/epidemiology* ; Diabetes Mellitus, Type 2/epidemiology* ; East Asian People

Objective To analyze the changes and clinical significance of aqueous humor stromal cell-de-rived factor-1(SDF-1),macrophage chemoattractant protein-1(MCP-1)and soluble adhesion molecule CD44(sCD44)in patients with diabetic cataract(DC).Methods A total of 80 patients with DC admitted to the hos-pital from January 2021 to January 2023 were selected as the DC group,and 40 patients with simple cataract during the same period were selected as the age-related cataract group.According to the stage of cataract,DC patients were divided into group A(incipient stage,32 cases),group B(intumescent stage,26 cases)and group C(mature stage and over mature stage,22 cases).According to the presence or absence of macular ede-ma after treatment,the patients were divided into occurrence group(20 cases)and non-occurrence group(60 cases).The levels of SDF-1,MCP-1 and sCD44 in each group were detected by enzyme-linked immunosorbent assay.The receiver operating characteristic curve and area under the curve(AUC)were used to analyze the value of SDF-1,MCP-1 and sCD44 levels in the diagnosis of DC.Results The levels of SDF-1,MCP-1 and sCD44 in the DC group were higher than those in the age-related cataract group(P<0.05),and the levels of SDF-1,MCP-1 and sCD44 in the A,B and C groups increased sequentially(P<0.05).The level of MCP-1 in the occurrence group was higher than that in the non-occurrence group(P<0.05).The AUC of MCP-1,sCD44 and SDF-1 in the diagnosis of DC was 0.869,and the diagnostic efficiency was better.Conclusion The changes of aqueous SDF-1,MCP-1 and sCD44 levels are related to the stage of cataract in DC patients.Dynam-ic monitoring of these three indexes,especially MCP-1,is helpful to judge the condition and prognosis of DC patients.

ObjectiveTranscription factor NFE2 was observed abnormal expression in myeloproliferative neoplasm (MPN) patients. However, how NFE2 is transcriptionally regulated remains ambiguous. This study aims to explore the elements and molecular mechanisms involved in the transcriptional regulation of NFE2. MethodsActive enhancers were predicted by public NGS data and conformed experimentally via dual luciferase reporter assay. After that, PRO-seq and GRO-seq data was used to detect enhancer RNAs transcribed from these enhancers. RACE was utilized to clone the full length enhancer RNA (eRNA) transcripts, and RT-qPCR was used to measure their expression in different leukemia cell lines as well as the transcript levels during induced differentiation. Finally, to investigate the molecular function of the eRNA, overexpression and knockdown of the eRNA via lentivirus system was performed in K562 cells. ResultsWe identified three enhancers regulating NFE2 transcription, which located at -3.6k, -6.2k and +6.3k from NFE2 transcription start site (TSS) respectively. At the -3.6k enhancer, we cloned an eRNA transcript and characterized that as a lncRNA which was expressed and located in the nucleus in three types of leukemia cell lines. When this lncRNA was overexpressed, expression of NFE2 was upregulated and decreases of K562 cell proliferation and migration ability were observed. While knocking down of this lncRNA, the level of NFE2 decreases correspondingly and the proliferation ability of K562 cells increases accordingly. ConclusionWe identified an enhancer lncRNA that regulates NFE2 transcription positively and suppresses K562 cell proliferation.

ObjectiveA rapid method for identification of chemical constituents in Baoyuantang reference sample was established in order to clarify the material basis of this formula. MethodBased on ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） and self-established database information， the chemical components in Baoyuantang were systematically characterized and identified. The chromatography was performed on a Waters ACQUITY UPLC HSS T3 column（2.1 mm×100 mm， 1.8 μm） with mobile phase of 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） for gradient elution（0-3 min， 2%-19%B； 3-8 min， 19%B； 8-8.1 min， 19%-22%B； 8.1-14 min， 22%-29%B； 14-16 min， 29%B； 16-32 min， 29%-45%B； 32-32.1 min， 45%-90%B； 32.1-35 min， 90%-95%B； 35-36 min， 95%-98%B； 36-37 min， 98%-2%B； 37-40 min， 2%B）. Based on electrospray ionization（ESI）， continuum data format was collected in both positive and negative ion modes with a scanning range of m/z 50-1 500. Chemical constituents in the decoction of Baoyuantang were systematically analyzed by UNIFI 1.9.4 software matching， control comparison， The Encyclopedia of Traditional Chinese Medicine（ETCM） database search and literature reports. ResultA total of 229 components were identified under negative ion mode and 181 under positive ion mode， with a total of 322 components after removing duplicates， including 116 triterpene saponins， 66 flavonoids， 19 organic acids， 6 gingerphenols， 6 gingerols， 5 gingerones， 10 amino acids， 7 saccharides， 5 coumarins and 82 other components. Among them， 83， 141， 39， 35 and 38 components were attributed to Ginseng Radix et Rhizoma， Glycyrrhizae Radix et Rhizoma， Astragali Radix， Cinnamomi Cortex and Zingiberis Rhizoma Recens， respectively. ConclusionIn this study， the rapid characterization and identification of multi-class components in Baoyuantang was realized， and it was confirmed that the material basis of this formula was mainly triterpenoid saponins， flavonoids， gingerols and organic acids， and the chemical composition was attributed and analyzed， which provided a reference for the subsequent quality control research.

Objective To study the traditional Chinese medicine(TCM)constitution characteristics of overweight/obese patients in Shanghai region and to investigate the correlation of TCM constitution with body composition.Methods Relevant data were collected from the patients with complete information of TCM constitution and human body composition analysis who visited the specialized outpatient clinic of acup-moxibustion catgut embedding therapy in the Department of Endocrinology,Shanghai Tenth People's Hospital from August 2020 to December 2022.The patients were divided into a normal body mass group(BMI＜24 kg/m2),an overweight group(24 kg/m2≤BMI＜28 kg/m2)and obesity group(BMI≥28 kg/m2),and then the distribution of TCM constitution types in the three groups of patients were analyzed.After that,the correlation between TCM constitution and body composition were explored with multiple regression analysis.Results(1)A total of 315 patients were included,of which 43 patients had normal body mass,85 patients were overweight and 187 patients were obese.(2)The TCM constitution types in descending order of the composition ratio in the normal body mass group and in the overweight group were spleen deficiency constitution,liver stagnation constitution,damp-heat constitution,yang deficiency constitution,and yin deficiency constitution,in the obese group were spleen deficiency constitution,yang deficiency constitution,damp-heat constitution,liver stagnation constitution,and yin deficiency constitution,and in the overweight/obese group were spleen deficiency constitution,damp-heat constitution,yang deficiency constitution,liver stagnation constitution,and yin deficiency constitution.No statistically significant differences of the distribution of TCM constitution types were shown between normal body bass population and overweight/obese population(P＞0.05).In both normal body mass population and overweight/obese population,the single body constitution type was common,and biased constitution was rare,and there was no statistically significant difference when comparing between the two groups(P＞0.05).(3)The results of multiple regression analysis showed that the basal metabolism of all patients was positively correlated with yang deficiency constitution and was negatively correlated with damp-heat constitution,and the differences were statistically significant(P＜0.01).It is indicated that if the score of yang deficiency constitution rose by one point,the basal metabolism would increase by 0.54 kcal,and if the score of damp-heat constitution decreased by one point,the basal metabolism would decrease by 1.005 kcal.Conclusion In Shanghai region,obesity may be the main indication of the variation of the body constitution.In addition to spleen deficiency constitution,the proportions of yang deficiency constitution,damp-heat constitution and liver stagnation constitution are also higher in obese patients.In terms of the correlation between TCM constitution and body composition,basal metabolism is positively correlated with yang deficiency constitution and is negatively correlated with damp-heat constitution.Therefore,for the patients with yang deficiency constitution and damp-heat constitution,the influence of the basal metabolism level on the development of the disease should be taken into account.

Objective To investigate the viability and safety of laparoscopic sleeve gastrectomy(LSG)based on the TJ point at the junction of the posterior gastric wall and the apex of the medial edge of the left diaphragm.Methods A retrospective analysis of 135 patients with obesity or obesity with metabolic syndrome who underwent LSG from January 2019 to January 2022 were divided into two groups according to the different free modes of fundogastric body.68 patients underwent surgery using the TPOL model LSG.A control group of 67 patients was treated with conventional LSG surgery.To analyze and compare the duration of operation,gastric fundus free time,intraoperative blood loss time,hospital stay time,postoperative gastric fistula,bleeding rate,and occurrence of gastroesophageal reflux disease(GERD)between the two groups.Results All patients successfully completed LSG surgery and were safely discharged.They were followed for a period of 12 to 36 months.the duration of operation for the study group was(56.13±10.56)minutes,while for the control group it was(62.45±12.74)minutes.The gastric fundus was freed in(6.34±4.16)minutes for the study group and(12.58±6.37)minutes for the control group.The duration of hospitalization was(3.84±0.42)days for the study group and(4.06±0.69)days for the control group.The intraoperative blood loss was(10.87±1.28)ml for the study group and(15.56±3.39)ml for the control group.The incidence of postoperative GERD was 5(7.35％)for the study group and 13(19.40％)for the control group.The differences between the two groups were statistically significant(P＜0.05).The decrease in excess weight at 12 months after surgery,as well as complications such as bleeding and gastric fistula,were not statistically significant(P＞0.05).Conclusion LSG(TPOL model)extends from the TJ point(the Tri-junction point where the gastric left mesangium,gastric posterior mesangium,and pancreatic mesangium meet)to the apex of the medial foot edge of the left diaphragm.LSG(TPOL model)can be efficiently and safely achieve tension-free anastomosis,resulting in a complete free gastric fundus.This method is feasible,and has clinical value for the standardized free gastric fundus of LSG.

Objective To investigate the pathological and magnetic resonance imaging (MRI) characteristics of orbital diffuse large B-cell lymphoma (DLBCL). Methods A total of 48 patients with orbital DLBCL were selected via a retrospective case-control study in the orbital DLBCL group, and 51 patients with DLBCL of primary central nervous system during the same period were included in primary DLBCL group. The clinical characteristics and MRI features of the orbital DLBCL group were analyzed, and the pathological characteristics and peripheral blood platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and lymphocyte-to-monocyte ratio (LMR) were compared between the two groups. Results The main clinical manifestations of orbital DLBCL patients included local orbital mass in 48 cases (100.00%), limited ocular motility in 38 cases (79.17%), exophthalmos in 33 cases (68.75%), decreased visual acuity in 25 cases (52.08%), diplopia in 17 cases (35.42%), and epistaxis in 9 cases (18.75%). Orbital DLBCL predominantly occurred in the extraconal space (54.17%), with lesions mostly located above the orbit (52.08%). T1-weighted images mainly showed intermediate signal intensity (60.42%), T2-weighted images mainly showed intermediate (56.25%) and high signal intensity (29.17%), diffusion-weighted images mainly showed high signal intensity (58.33%), and apparent diffusion coefficient maps mainly showed low signal intensity (60.42%). There were no statistically significant differences in histopathological subtype, CD20 positive expression, CD79a positive expression, CD45RO positive expression, International Prognostic Index score, and pathological stage between the two groups (P>0.05). The PLR in the orbital DLBCL group was higher, while NLR and LMR were lower than that in the primary DLBCL group (P < 0.05). Conclusion Orbital DLBCL exhibits specific clinical manifestations and MRI characteristics. MRI can serve as the primary diagnostic tool, and its combination with pathological immunohistochemical analysis and peripheral blood PLR, NLR, and LMR test results can improve the accuracy and timeliness of diagnosis.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.