OBJECTIVE: To identify the key features of facial and tongue images associated with anemia in female populations, establish anemia risk-screening models, and evaluate their performance. METHODS: A total of 533 female participants (anemic and healthy) were recruited from Shuguang Hospital. Facial and tongue images were collected using the TFDA-1 tongue and face diagnosis instrument. Color and texture features from various parts of facial and tongue images were extracted using Face Diagnosis Analysis System (FDAS) and Tongue Diagnosis Analysis System version 2.0 (TDAS v2.0). Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for feature selection. Ten machine learning models and one deep learning model (ResNet50V2 + Conv1D) were developed and evaluated. RESULTS: Anemic women showed lower a-values, higher L- and b-values across all age groups. Texture features analysis showed that women aged 30-39 with anemia had higher angular second moment (ASM)and lower entropy (ENT) values in facial images, while those aged 40-49 had lower contrast (CON), ENT, and MEAN values in tongue images but higher ASM. Anemic women exhibited age-related trends similar to healthy women, with decreasing L-values and increasing a-, b-, and ASM-values. LASSO identified 19 key features from 62. Among classifiers, the Artificial Neural Network (ANN) model achieved the best performance [area under the curve (AUC): 0.849, accuracy: 0.781]. The ResNet50V2 model achieved comparable results [AUC: 0.846, accuracy: 0.818]. CONCLUSION Differences in facial and tongue images suggest that color and texture features can serve as potential TCM phenotype and auxiliary diagnostic indicators for female anemia.
Humans ; Female ; Tongue/diagnostic imaging* ; Adult ; Anemia/diagnosis* ; Middle Aged ; Face/diagnostic imaging* ; Young Adult ; Machine Learning

The efficient production of L-glutamate is dependent on the product's rapid efflux, hence researchers have recently concentrated on artificially modifying its transport system and cell membrane wall structure. Considering the unique composition and structure of the cell wall of Corynebacterium glutamicum, we investigated the effects of CmpLs on L-glutamate synthesis and transport in SCgGC7, a constitutive L-glutamate efflux strain. First, the knockout strains of CmpLs were constructed, and it was confirmed that the deletion of CmpL1 and CmpL4 significantly improved the performance of L-glutamate producers. Next, temperature-sensitive L-glutamate fermentation with the CmpL1 and CmpL4 knockout strains were carried out in 5 L bioreactors, where the knockout strains showcased temperature-sensitive characteristics and enhanced capacities for L-glutamate production under high temperatures. Notably, the CmpL1 knockout strain outperformed the control strain in terms of L-glutamate production, showing production and yield increases of 69.2% and 55.3%, respectively. Finally, the intracellular and extracellular metabolites collected at the end of the fermentation process were analyzed. The modification of CmpLs greatly improved the L-glutamate excretion and metabolic flux for both L-glutamate production and transport. Additionally, the CmpL1 knockout strain showed decreased accumulation of downstream metabolites of L-glutamate and intermediate metabolites of tricarboxylic acid (TCA) cycle, which were consistent with its high L-glutamate biosynthesis capacity. In addition to offering an ideal target for improving the stability and performance of the industrial strains for L-glutamate production, the functional complementarity and redundancy of CmpLs provide a novel target and method for improving the transport of other metabolites by modification of the cell membrane and cell wall structures in C. glutamicum.
Corynebacterium glutamicum/genetics* ; Glutamic Acid/biosynthesis* ; Fermentation ; Metabolic Engineering ; Bacterial Proteins/metabolism* ; Bioreactors/microbiology* ; Gene Knockout Techniques

Objective To generate minichromosome maintenance protein 2(MCM2)gene knockout cervi-cal cancer HeLa cell lines using inducible CRISPR/Cas9 technology,and to explore the effect of MCM2 on DNA replication and replication stress.Methods The inducible CRISPR/Cas9 system,TLCV2,was used to construct MCM2 knockout HeLa cell lines.And the cell lines were divided into control group(Control),knockout group 1(KO1),and knockout group 2(KO2).Western blot,Edu incorporation experiment,real-time quantitative PCR(qPCR),immunofluorescence and MTT assay were used to analyze the effects of MCM2 knockout on DNA replica-tion and replication stress induced by hydroxyurea.Results The CRISPR/Cas9 system successfully knocked out the MCM2 gene after induction,and MCM2 knockout affected the stability of MCM2-7 complex.Compared with the control cells,MCM2 knockout cells had a dramatic decrease in the capacity of DNA replication,and the mRNA levels of Cyclin A1,Cyclin E1 and CDK4.Under DNA replication stress,MCM2 knockout cells decreased cell viability,DNA damage repair capacity,and increased genomic instability compared with control cells.Conclusion Knockout of MCM2 gene reduces the DNA replication capacity of HeLa cells under normal conditions and cell viability under replication stress.This study successfully generates MCM2 gene inducible knockout HeLa cell lines,laying the foundation for further research on the role and biological function of MCM2 gene in the occurrence and progression of cervical cancer.

Objective    To analyze the influencing factors for re-positive nucleic acid test in discharged corona-virus disease 2019 (COVID-19) patients in Chengdu, Sichuan Province, and to provide data support for the epidemics prevention and control. Methods    The clinical data of 660 discharged COVID-19 patients from January 23, 2020 to February 28, 2021 in our center were retrospectively analyzed. The patients were divided into two groups according to the reexamination of virus nucleic acid, including a negative group [549 patients, including 428 males and 121 females with a median age of 33.0 (28.0, 48.0) years] and a positive group [111 patients, including 76 males and 35 females with a median age of 39.0 (28.0, 51.0) years]. The clinical data of the two groups were compared. Results     The re-positive rate of the discharged patients was 16.82%. Univariate analysis showed that the re-positive rate of females was higher than that of males (χ2=4.608, P=0.032). The re-positive rate of confirmed patients was higher than that of asymptomatic infected patients (χ2=8.140, P=0.004). The re-positive rate of domestic patients was higher than that of imported patients (χ2=9.178, P=0.002). The counts of CD3+ (P=0.038), CD4+ (P=0.048) and CD8+ (P=0.040) T lymphocytes in the negative group were higher than those in the positive group. The binary logistic regression analysis showed that the clinical classification and CD8+ T lymphocyte count were independent risk factors affecting the recurrence of virility. Conclusion    The gender, origin, T lymphocyte subsets count and clinical type are the influencing factors for re-positive result, and clinical type and CD8+ T lymphocyte count are the independent influencing factors for re-positive result. Therefore, improving the immunity of infected patients, as well as early detection and timely treatment are effective means to reduce the re-positive occurrence.

Objective:To construct a scientifically standardized and promotable pneumonia prevention and nursing plan for acute stroke patients to guide clinical nursing practice.Methods:According to the evidence-based retrieval strategy, we systematically searched the domestic and foreign clinical decision support system, guideline networks, professional association websites and relevant databases. All databases were searched from January 2012 to November 2022. A preliminary pneumonia prevention and nursing plan for acute stroke patients was formulated after literature quality evaluation, evidence extraction, evidence integration and evaluation. The plan was further revised and improved through three rounds of Delphi expert consultation.Results:In the three rounds of expert consultation, the enthusiasm of experts was 100.0%, 100.0%, 83.3%, the authority coefficient of experts were 0.967, 0.967, 0.937, the coefficient of variation were 0.048 to 0.363, 0 to 0.177, 0 to 0.144, and the Kendal harmony coefficient were 0.221, 0.139, 0.339 ( P<0.001) . The final nursing plan included 8 modules, including pneumonia risk prediction, general nursing, swallowing and dietary management, airway management, oral management, position and exercise, condition observation, and health education, with a total of 30 items. Conclusions:The evidence and Delphi method based pneumonia prevention and nursing plan for acute stroke patients is scientific, reliable and applicable, which can provide a basis for nursing practice.

This study employed Box-Behnken design combined with flux attenuation to explore the nanofiltration conditions for separation of alcohol precipitation liquid during the preparation of Reduning Injection and discussed the applicability of nanofiltration in the separation of the liquid with high-concentration ethanol. The effects of nanofiltration molecular weight cut-off(MWCO) and pH on the rejection of chlorogenic acid, 3,5-dicaffeoylquinic acid, and 4,5-dicaffeoylquinic acid were consistent with the principles of pore size sieving and charge effect, respectively. The rejection of the three phenolic acids was reduced by concentration polarization effect caused by trans-membrane pressure(TMP). The swelling of membrane surface decreased the pore size and membrane flux for effective separation. Chlorogenic acid and 4,5-dicaffeoylquinic acid were more sensitive to pH and ethanol concentration than 3,5-dicaffeoylquinic acid. A certain correlation existed between the compound structure and the separation factors of nanofiltration, and the separation rules were associated with the comprehensive effect of charge effect, pore size sieving, concentration polarization, steric hindrance and so on.
Chlorogenic Acid ; Drugs, Chinese Herbal/chemistry* ; Ethanol ; Injections

Dyslipidemia is an important risk factor of atherosclerotic cardiovascular disease (ASCVD). Statins delay the occurrence and development of ASCVD, and reduce the risk of cardiovascular events and death. Due to safety concerns, there exist insufficient use of lipid-lowering agents and a high withdrawal rate of the agents in the elderly. To promote the prevention and treatment of ASCVD, this expert consensus is issued and focuses on the management of dyslipidemia of Chinese elderly basing on the clinical evidence of the use of lipid-lowering drugs by the elderly, and the lipid management guidelines and expert consensus recommendations at home and abroad.

OBJECTIVE: To explore the characteristics and influencing factors of high-risk factors and adverse outcomes of pregnancy in different occupational populations in a medical college community. METHODS: A total of 719 pregnant women in a medical college community were selected by convenient sampling method and divided into medical staff group(218 women) and non-medical staff group(501 women, including 138 teaching staff subgroup, 129 administrative service staff subgroup and 234 other occupation subgroup). The detection rate of high-risk factors and adverse outcomes of pregnancy were compared among these groups. RESULTS: Among the study subjects with the top five detection rates, high-risk factors of pregnancy were abnormal body mass index, advanced age, diabetes mellitus, scarred uterus and abnormal thyroid function, with the detection rate of 21.4%, 17.5%, 9.7%, 7.5% and 7.5%, respectively. The detection rates of pregnancy high-risk factors≥two, adverse pregnancy outcome, adverse fetal outcome, miscarriage and low birth weight in the medical group were significantly lower than those in the non-medical staff group(all P<0.05). The detection rates of pregnancy risk factors, primary screening risk factors, scarred uterus and pregnancy anemia in the teaching staff subgroup were significantly higher than those in the other occupation subgroups(all P<0.008). The detection rates of pregnancy high-risk factors ≥two and advanced age in the teaching staff subgroup were higher than those in medical staff group(all P<0.008). The detection rates of adverse pregnancy outcome and miscarriage in the administrative service staff subgroup were higher than those in medical staff group(all P<0.008). Multivariate logistic regression analysis results showed that occupation, advanced age, parity and scarred uterus were the main influencing factors of adverse pregnancy outcome(all P<0.05). CONCLUSION: There are differences in pregnancy high-risk factors and adverse pregnancy outcomes among different occupational groups. The teaching staff subgroup has a relatively higher detection rate of pregnancy high-risk factors, and the adverse pregnancy outcomes and miscarriage were relatively higher in the administrative service staff subgroup, compared with the medical staff group.

Objective:To investigate the risk factors for death in patients with corona virus disease 2019 (COVID-19).Methods:The clinical data of 141 cases of patients diagnosed with COVID-19 at Renmin Hospital of Wuhan University from February 1 to February 26, 2020 were included in this retrospective analysis. The gender, age, time of hospitalization after the onset, clinical manifestations, underlying diseases, laboratory examination indicators (inculding white blood cell counts, neutrophil counts, lymphocyte counts, lymphocyte subsets, immunoglobulin, complement 3, complement 4, D-dimer, fibrinogen), and short term prognosis were compared between the death group and the survival group. Logistic regression was used to analyze the factors influencing the death of COVID-19 patients. The t test, Mann Whitney U test or chi-square test were used for comparison between groups. Results:Of the 141 COVID-19 patients, 52 died and 89 survived. The age, hypertension, chronic respiratory diseases, cardiovascular and cerebrovascular diseases, fever and wheeze of patients in the death group were all higher than those in the survival group, which were (70.7±13.3) years old vs (50.4±15.3) years old, 51.9%(27/52) vs 14.6%(13/89), 15.4%(8/52) vs 4.5%(4/89), 30.8%(16/52) vs 7.9%(7/89), 80.8%(42/52) vs 61.8%(55/89) and 50.0%(26/52) vs 25.8%(23/89), respectively. The differences were all statistically significant ( t=7.972, χ2=22.104, 3.615, 12.392, 5.503 and 8.447, respectively, all P<0.05). The white blood cell count, neutrophil count, CD4 + /CD8 + T lymphocyte, immunoglobulin E, D-dimer, fibrinogen, CD19 + T lymphocyte proportion and CD19 + T lymphocyte count of patients in the death group were all higher than those in the survival group, which were 8.20(5.26, 13.01)×10 9/L vs 5.29(3.96, 7.04)×10 9/L, 7.40(4.54, 11.46)×10 9/L vs 3.16(2.20, 5.01)×10 9/L, 2.32(1.77, 3.11) vs 1.63(1.25, 2.08), 125.0(42.6, 275.0) IU/mL vs 66.8(38.3, 143.0) IU/mL, 7.27(2.11, 16.21) mg/L vs 0.95(0.38, 2.54) mg/L, 4.37(2.72, 6.78) g/L vs 4.10(2.78, 4.97) g/L, (23.19±13.43)% vs (15.38±6.38)%, and (181.5±115.4)/μL vs (98.89±77.64)/μL, respectively. The differences were all statistically significant ( Z=3.944, 4.210, 2.834, 1.190, 5.497, 1.180, t=3.987, 3.411, respectively, all P<0.05). The lymphocyte count, CD3 + T lymphocyte proportion, CD3 + T lymphocyte count, CD8 + T lymphocyte proportion, CD8 + T lymphocyte count, CD16 + CD56 + T lymphocyte count and CD4 + T lymphocyte count were all lower than those in survival group, which were 0.47(0.37, 0.96)×10 9/L vs 1.33(0.90, 1.55)×10 9/L, 48.72%(42.31%, 76.92%) vs 69.91%(65.05%, 75.36%), 223.0(100.0, 403.0)/μL vs 761.0(499.0, 1 092.0)/μL, 13.82%(10.32%, 19.82%) vs 24.90%(20.87%, 29.57%), 55.5(30.5, 106.0)/μL vs 318.0(162.5, 443.5)/μL, 63.0(29.0, 99.5)/μL vs 140.0(69.5, 195.5)/μL and (209.74±140.13)/μL vs (487.61±232.02)/μL, respectively. The differences were all statistically significant ( Z=6.937, 3.944, 5.883, 3.924, 5.703, 3.517 and t=7.558, respectively, all P<0.01). Age, history of hypertension, white blood cell count, D-dimer, and fibrinogen were the risk factors for death of COVID-19 (odds ratio ( OR)=1.170, 10.405, 3.055, 1.128 and 1.343, respectively, all P<0.05). Conclusion:Age, underlying hypertension, white blood cell count, D-dimer and fibrinogen are independent prognostic factors for COVID-19.

Objective To analyze the differences among electrical damage, burns and abrasions in pig skin using Fourier transform infrared microspectroscopy （FTIR-MSP） combined with machine learning algorithm, to construct three kinds of skin injury determination models and select characteristic markers of electric injuries, in order to provide a new method for skin electric mark identification. Methods Models of electrical damage, burns and abrasions in pig skin were established. Morphological changes of different injuries were examined using traditional HE staining. The FTIR-MSP was used to detect the epidermal cell spectrum. Principal component method and partial least squares method were used to analyze the injury classification. Linear discriminant and support vector machine were used to construct the classification model, and factor loading was used to select the characteristic markers. Results Compared with the control group, the epidermal cells of the electrical damage group, burn group and abrasion group showed polarization, which was more obvious in the electrical damage group and burn group. Different types of damage was distinguished by principal component and partial least squares method. Linear discriminant and support vector machine models could effectively diagnose different damages. The absorption peaks at 2 923 cm^-1, 2 854 cm^-1, 1 623 cm^-1, and 1 535 cm^-1 showed significant differences in different injury groups. The peak intensity of electrical injury's 2 923 cm^-1 absorption peak was the highest. Conclusion FTIR-MSP combined with machine learning algorithm provides a new technique to diagnose skin electrical damage and identification electrocution.
Algorithms ; Animals ; Fourier Analysis ; Least-Squares Analysis ; Machine Learning ; Swine