TriCAFFNet: A Tri-Cross-Attention Transformer with a Multi-Feature Fusion Network for Facial Expression Recognition.

In recent years, significant progress has been made in facial expression recognition methods. However, tasks related to facial expression recognition in real environments still require further research. This paper proposes a tri-cross-attention transformer with a multi-feature fusion network (TriCAFFNet) to improve facial expression recognition performance under challenging conditions. By combining LBP (Local Binary Pattern) features, HOG (Histogram of Oriented Gradients) features, landmark features, and CNN (convolutional neural network) features from facial images, the model is provided with a rich input to improve its ability to discern subtle differences between images. Additionally, tri-cross-attention blocks are designed to facilitate information exchange between different features, enabling mutual guidance among different features to capture salient attention. Extensive experiments on several widely used datasets show that our TriCAFFNet achieves the SOTA performance on RAF-DB with 92.17%, AffectNet (7 cls) with 67.40%, and AffectNet (8 cls) with 63.49%, respectively.

Occlusion Robust Cognitive Engagement Detection in Real-World Classroom.

Cognitive engagement involves mental and physical involvement, with observable behaviors as indicators. Automatically measuring cognitive engagement can offer valuable insights for instructors. However, object occlusion, inter-class similarity, and intra-class variance make designing an effective detection method challenging. To deal with these problems, we propose the Object-Enhanced-You Only Look Once version 8 nano (OE-YOLOv8n) model. This model employs the YOLOv8n framework with an improved Inner Minimum Point Distance Intersection over Union (IMPDIoU) Loss to detect cognitive engagement. To evaluate the proposed methodology, we construct a real-world Students' Cognitive Engagement (SCE) dataset. Extensive experiments on the self-built dataset show the superior performance of the proposed model, which improves the detection performance of the five distinct classes with a precision of 92.5%.

Transcriptional regulation of the yersiniabactin receptor fyuA gene by the ferric uptake regulator in Klebsiella pneumoniae NTUH-K2044.

The ferric uptake regulator (Fur) is a global regulator that influences the expression of virulence genes in Klebsiella pneumoniae. Bioinformatics analysis suggests Fur may involve in iron acquisition via the identified regulatory box upstream of the yersiniabactin receptor gene fyuA. To observe the impact of the gene fyuA on the virulence of K. pneumoniae, the gene fyuA knockout strain and complementation strain were constructed and then conducted a series of phenotypic experiments including chrome azurol S (CAS) detection, crystal violet staining, and wax moth virulence experiment. To examine the regulatory relationship between Fur and the gene fyuA, green fluorescent protein (GFP) reporter gene fusion assay, real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR), gel migration assay (EMSA), and DNase I footprinting assay were used to clarify the regulatory mechanism of Fur on fyuA. CAS detection revealed that the gene fyuA could affect the generation of iron carriers in K. pneumoniae. Crystal violet staining experiment showed that fyuA could positively influence biofilm formation. Wax moth virulence experiment indicated that the deletion of the fyuA could weaken bacterial virulence. GFP reporter gene fusion experiment and RT-qPCR analysis revealed that Fur negatively regulated the expression of fyuA in iron-sufficient environment. EMSA experiment demonstrated that Fur could directly bind to the promoter region of fyuA, and DNase I footprinting assay further identified the specific binding site sequences. The study showed that Fur negatively regulated the transcriptional expression of fyuA by binding to upstream of the gene promoter region, and then affected the virulence of K. pneumoniae.

Facial Expression Recognition Based on Fine-Tuned Channel-Spatial Attention Transformer.

Facial expressions help individuals convey their emotions. In recent years, thanks to the development of computer vision technology, facial expression recognition (FER) has become a research hotspot and made remarkable progress. However, human faces in real-world environments are affected by various unfavorable factors, such as facial occlusion and head pose changes, which are seldom encountered in controlled laboratory settings. These factors often lead to a reduction in expression recognition accuracy. Inspired by the recent success of transformers in many computer vision tasks, we propose a model called the fine-tuned channel-spatial attention transformer (FT-CSAT) to improve the accuracy of recognition of FER in the wild. FT-CSAT consists of two crucial components: channel-spatial attention module and fine-tuning module. In the channel-spatial attention module, the feature map is input into the channel attention module and the spatial attention module sequentially. The final output feature map will effectively incorporate both channel information and spatial information. Consequently, the network becomes adept at focusing on relevant and meaningful features associated with facial expressions. To further improve the model's performance while controlling the number of excessive parameters, we employ a fine-tuning method. Extensive experimental results demonstrate that our FT-CSAT outperforms the state-of-the-art methods on two benchmark datasets: RAF-DB and FERPlus. The achieved recognition accuracy is 88.61% and 89.26%, respectively. Furthermore, to evaluate the robustness of FT-CSAT in the case of facial occlusion and head pose changes, we take tests on Occlusion-RAF-DB and Pose-RAF-DB data sets, and the results also show that the superior recognition performance of the proposed method under such conditions.

Bimodal Learning Engagement Recognition from Videos in the Classroom.

Engagement plays an essential role in the learning process. Recognition of learning engagement in the classroom helps us understand the student's learning state and optimize the teaching and study processes. Traditional recognition methods such as self-report and teacher observation are time-consuming and obtrusive to satisfy the needs of large-scale classrooms. With the development of big data analysis and artificial intelligence, applying intelligent methods such as deep learning to recognize learning engagement has become the research hotspot in education. In this paper, based on non-invasive classroom videos, first, a multi-cues classroom learning engagement database was constructed. Then, we introduced the power IoU loss function to You Only Look Once version 5 (YOLOv5) to detect the students and obtained a precision of 95.4%. Finally, we designed a bimodal learning engagement recognition method based on ResNet50 and CoAtNet. Our proposed bimodal learning engagement method obtained an accuracy of 93.94% using the KNN classifier. The experimental results confirmed that the proposed method outperforms most state-of-the-art techniques.

Protective Effect of 1,25-Dihydroxy Vitamin D3 on Pepsin-Trypsin-Resistant Gliadin-Induced Tight Junction Injuries.

BACKGROUND: Tight junction (TJ) injuries induced by pepsin-trypsin-resistant gliadin (PT-G) play an important role in the pathogenesis of celiac disease. Previously, 1,25-dihydroxy vitamin D3 (VD3) was reported to be a TJ regulator that attenuates lipopolysaccharide- and alcohol-induced TJ injuries. However, whether VD3 can attenuate PT-G-induced TJ injuries is unknown. AIM: The aim of this study was to evaluate the effects of VD3 on PT-G-induced TJ injuries. METHODS: Caco-2 monolayers were used as in vitro models. After being cultured for 21 days, the monolayers were treated with PT-G plus different concentrations of VD3. Then, the changes in trans-epithelial electrical resistance and FITC-dextran 4000 (FD-4) flux were determined to evaluate the monolayer barrier function. TJ protein levels were measured to assess TJ injury severity, and myeloid differentiation factor 88 (MyD88) expression and zonulin release levels were determined to estimate zonulin release signaling pathway activity. Additionally, a gluten-sensitized mouse model was established as an in vivo model. After the mice were treated with VD3 for 7 days, we measured serum FD-4 concentrations, TJ protein levels, MyD88 expression, and zonulin release levels to confirm the effect of VD3. RESULTS: Both in vitro and in vivo, VD3 significantly attenuated the TJ injury-related increase in intestinal mucosa barrier permeability. Moreover, VD3 treatment up-regulated TJ protein expression levels and significantly decreased MyD88 expression and zonulin release levels. CONCLUSIONS: VD3 has protective effects against PT-G-induced TJ injuries both in vitro and in vivo, which may correlate with the disturbance of the MyD88-dependent zonulin release signaling pathway.

Review: A Japanese population-based meta-analysis of vonoprazan versus PPI for Helicobacter pylori eradication therapy: Is superiority an illusion?

BACKGROUND: Vonoprazan (VPZ) is a novel acid suppressant that has been used in Helicobacter pylori (H. pylori) eradication therapies in recent years. However, the efficacy and safety of VPZ vs proton-pump inhibitor (PPI) in H. pylori eradication therapies remain controversial. OBJECTIVE: To perform a meta-analysis in order to assess the efficacy and safety of VPZ vs PPI for H. pylori eradication. MATERIALS AND METHODS: The PubMed, EMBASE, and Cochrane Library databases were searched up to July 10, 2017, for relevant randomized controlled trials (RCTs) and nonrandomized clinical studies (NRCTs). The pooled eradication rate (ER) and pooled occurrence rates of adverse events were used to compare the efficacy and safety of VPZ - and PPI-containing regimens. RESULT: A total of 14 studies with 14 636 patients were included in this meta-analysis. The results showed that the pooled ER of VPZ -containing regimens was much higher than that of PPI-containing regimens when used as first-line therapies. This difference was significant for both intention-to-treat (85.1% vs 68.0%, P < .00001) and per-protocol analyses (89.0% vs 74.2%, P < .00001). Moreover, subgroup analysis indicated significant superiority of VPZ in both patients with clarithromycin-resistant strains (81.5% vs 40.9%, P < .00001) and those with clarithromycin-susceptible strains (94.9% vs 89.6%, P = .006). However, VPZ did not show superiority to PPI as part of a second-line triple therapy based on both intention-to-treat (83.4% vs 82.0%, P = .79) and per-protocol analyses (89.3% vs 90.1%, P = .06). Finally, RCT subgroup analysis showed the safety of VPZ -containing regimens to be better than PPI-containing regimens (26.4% vs 33.3%, P = .008), whereas there was no significant difference in this regard for the NRCT subgroup analysis (5.7% vs 4.7%, P = .08). CONCLUSIONS: The efficacy of VPZ is superior to PPI in first-line H. pylori triple eradication therapies but not in second-line therapies. The safety of VPZ -containing regimens appears to be equal or even superior to that of PPI. However, most reports included in this study had low levels of evidence. Hence, adequate and high-quality RCTs will be needed to support our results.

Artificial intelligence in lung cancer screening: Detection, classification, prediction, and prognosis.

BACKGROUND: The exceptional capabilities of artificial intelligence (AI) in extracting image information and processing complex models have led to its recognition across various medical fields. With the continuous evolution of AI technologies based on deep learning, particularly the advent of convolutional neural networks (CNNs), AI presents an expanded horizon of applications in lung cancer screening, including lung segmentation, nodule detection, false-positive reduction, nodule classification, and prognosis. METHODOLOGY: This review initially analyzes the current status of AI technologies. It then explores the applications of AI in lung cancer screening, including lung segmentation, nodule detection, and classification, and assesses the potential of AI in enhancing the sensitivity of nodule detection and reducing false-positive rates. Finally, it addresses the challenges and future directions of AI in lung cancer screening. RESULTS: AI holds substantial prospects in lung cancer screening. It demonstrates significant potential in improving nodule detection sensitivity, reducing false-positive rates, and classifying nodules, while also showing value in predicting nodule growth and pathological/genetic typing. CONCLUSIONS: AI offers a promising supportive approach to lung cancer screening, presenting considerable potential in enhancing nodule detection sensitivity, reducing false-positive rates, and classifying nodules. However, the universality and interpretability of AI results need further enhancement. Future research should focus on the large-scale validation of new deep learning-based algorithms and multi-center studies to improve the efficacy of AI in lung cancer screening.

Application of computer-aided detection for NCCN-based follow-up recommendation in subsolid nodules: Effect on inter-observer agreement.

RATIONALE AND OBJECTIVES: Computer-aided detection (CAD) of pulmonary nodules reduces the impact of observer variability, improving the reliability and reproducibility of nodule assessments in clinical practice. Therefore, this study aimed to assess the impact of CAD on inter-observer agreement in the follow-up management of subsolid nodules. MATERIALS AND METHODS: A dataset comprising 60 subsolid nodule cases was constructed based on the National Cancer Center lung cancer screening data. Five observers independently assessed all low-dose computed tomography scans and assigned follow-up management strategies to each case according to the National Comprehensive Cancer Network (NCCN) guidelines, using both manual measurements and CAD assistance. The linearly weighted Cohen's kappa test was used to measure agreement between paired observers. Agreement among multiple observers was evaluated using the Fleiss kappa statistic. RESULTS: The agreement of the five observers for NCCN follow-up management categorization was moderate when measured manually, with a Fleiss kappa score of 0.437. Utilizing CAD led to a notable enhancement in agreement, achieving a substantial consensus with a Fleiss kappa value of 0.623. After using CAD, the proportion of major and substantial management discrepancies decreased from 27.5% to 15.8% and 4.8% to 1.5%, respectively (p < 0.01). In 23 lung cancer cases presenting as part-solid nodules, CAD significantly elevates the average sensitivity in detecting lung cancer cases presenting as part-solid nodules (overall sensitivity, 82.6% vs. 92.2%; p < 0.05). CONCLUSION: The application of CAD significantly improves inter-observer agreement in the follow-up management strategy for subsolid nodules. It also demonstrates the potential to reduce substantial management discrepancies and increase detection sensitivity in lung cancer cases presenting as part-solid nodules.

Psychosocial characteristics associated with frequent physical fighting: findings from the 2009 National Youth Risk Behavior Survey.

The goal of the current study was to determine the prevalence and psychosocial correlates associated with frequent fighting among US high school students. Cross-sectional analyses were conducted using the 2009 Youth Risk Behavior Survey (N=16 410). Multivariate logistic regression analyses determined associations between demographic and psychosocial correlates of frequent fighting. Among students, 13.6% reported fighting once, 15.3% reported fighting 2-11 times and 2.6% reported fighting 12 or more times in the past year. Risk factors associated with frequent fighting were weapon carrying (adjusted OR=10.55; 95% CI 7.40 to 15.05), suicide attempt (adjusted OR=6.16; 95% CI 3.70 to 10.28), binge drinking (adjusted OR=3.15; 95% CI 2.16 to 4.59) and feeling too unsafe to go to school (adjusted OR=3.09; 95% CI 2.00 to 4.77). There is a clear need to better understand the patterns and psychosocial characteristics of frequent physical fighting and the prevention and interventions strategies that may be most relevant for these vulnerable youth.

Microbial Fuel Cell-Based Organic Matter Sensors: Principles, Structures and Applications.

Wastewater contains a significant quantity of organic matter, continuously causing environmental pollution. Timely and accurate detection of organic content in water can facilitate improved wastewater treatment and better protect the environment. Microbial fuel cells (MFCs) are increasingly recognized as valuable biological monitoring systems, due to their ability to swiftly detect organic indicators such as biological oxygen demand (BOD) and chemical oxygen demand (COD) in water quality. Different types of MFC sensors are used for BOD and COD detection, each with unique features and benefits. This review focuses on different types of MFC sensors used for BOD and COD detection, discussing their benefits and structural optimization, as well as the influencing factors of MFC-based biomonitoring systems. Additionally, the challenges and prospects associated with the development of reliable MFC sensing systems are discussed.

Constructing model-averaging species sensitivity distributions of Phenanthrene based on reproductive fitness: Implications for assessing ecological risk in urban watershed.

The challenge in optimizing the method of constructing species sensitivity distribution (SSD) remains. In this study, a model-averaging SSD was created to evaluate the ecological risk of Phenanthrene (PHE) in urban watershed based on reproductive fitness. Specifically, concentrations of PHE were measured in surface water samples collected from various watersheds of Wuhan, including five lake watersheds and the Wuhan reach of the Yangtze River and Han River. The reproductive endpoint of aquatic species was calculated to be most sensitive to PHE exposure, with the value of predict no-effect concentration (PNEC) at 0.19 µg/L. The results of probabilistic assessment methods, including joint probability curve (JPC), overall risk probability (ORP), and distribution-based quotient (DBQ), indicated that the ecological risks of PHE in large lakes have dropped significantly with distance from the downtown area of Wuhan, and the long-term effects of industrial activities may increase the risks in the lake watersheds. Basically, the ecological risks in Yangtze River are negligible; however, there is a relatively high risk of PHE in the Han River and some lake watersheds. The cos Î¸ similarity analysis indicated the Yangtze River is strongly connected to the low-risk lake watersheds, and that in part reflects the risk in the Yangtze River being controlled by its surrounding these lake watersheds.

Efficacy and safety of proprioceptive neuromuscular facilitation for chronic low back pain: A meta-analysis of randomized controlled trials.

Objectives: This study aimed to evaluate the effectiveness and safety of proprioceptive neuromuscular facilitation for chronic low back pain.Materials and methods: Eleven databases were searched from their inception through January 2021. The primary outcomes were pain intensity, individual activities, quality of life, and adverse events. Results: Four randomized controlled trials (RCTs) with 184 patients (mean age: 37.8±3.1 years; range, 35 to 50 years) met the inclusion criteria. The pooled effect size showed proprioceptive neuromuscular facilitation, relieved pain (standard means difference [SMD]: -0.835, 95% CI: -1.139 to -0.531, p<0.001, n=4), and improved individual activity (Roland Morris Disability Questionnaire, SMD: -1.765, 95% CI: -2.642 to -0.888, p<0.001, n=2; Oswestry Disability Index, SMD: -0.893, 95% CI: -1.434 to -0.352, p=0.001, n=1) for chronic low back pain (CLBP). Conclusion: This study verified that proprioceptive neuromuscular facilitation could relieve pain and improve individual activities without serious adverse events in patients with CLBP; however, it should be cautiously recommended due to the small number of included RCTs.

The status of anxiety state among cancer patients and their relatives during coronavirus disease 2019 (COVID-19) in Hubei, China.

BACKGROUND: During the coronavirus disease 2019 (COVID-19) epidemic, tumor patients and their families might suffer from greater psychological stress as a result of anxiety or other psychological disorders. We conducted an online study during the epidemic to explore the mental state of tumor patients and their families during this extraordinary time. METHODS: A cross-sectional survey was carried out. Questionnaires were distributed through the WeChat "Questionnaire Star" network. The snowball sampling technique was adopted and further promoted by subjects who had completed the questionnaire. RESULTS: A total of 1,030 valid questionnaires were collected. There were 609 (59.13%) tumor patients and 421 (40.87%) family members. One hundred and fifty-six (15.15%) subjects had anxiety, among which 65 (6.31%) had moderate to severe anxiety. Single-factor analysis indicated that age (>60 years old), the farmer occupation, and a high sleep disorder assessment score were risk factors for anxiety, while the latter two might also be independent risk factors, as suggested by multi-factor analysis. Infrequent contact with doctors was an independent risk factor for cancer patients, while uninterrupted anti-tumor therapy was an independent protective factor. 40.19% of the subjects expressed a need for psychosocial support during the COVID-19 period. CONCLUSIONS: The COVID-19 outbreak resulted in tumor patients and their relatives experiencing greater psychological pressure than usual, and patients were more worried about anti-tumor treatment and disease progression impacted by the epidemic. Both groups had a significant need for psychosocial help.

Analysis of CHEN Yongcan's Experience in Treating Chronic Atrophic Gastritis with Intestinal Metaplasia Based on the Patho-genesis of"Deficiency in Origin and Toxin Accumulation" / 浙江中医药大学学报

[Objective]To summarize Director CHEN Yongcan's experience in treating chronic atrophic gastritis with intestinal metaplasia the pathogenesis of"deficiency in origin and toxin accumulation".[Methods]Through following Director CHEN Yongcan's outpatient service,sorting out and analyzing typical medical cases,combined with the view of Director CHEN in clinical practice,it summed up his experience in treating chronic atrophic gastritis with intestinal metaplasia from three aspects:core pathogenesis,syndrome differentiation and treatment,prescription and medication,and a proved case was attached to support the treatment.[Results]Chronic atrophic gastritis with intestinal metaplasia is one of the key links in the occurrence and development of gastric cancer.Director CHEN Yongcan believes that the"deficiency in origin and toxin accumulation"is the core pathogenesis of chronic atrophic gastritis with intestinal metaplasia."Deficiency in origin"means deficiency in the spleen and stomach,insufficiency of vital Qi;"toxin accumulation"namely turbidity-toxicity stays stagnation,accumulated and hidden.Taking the cold-heat complex syndrome as the basic point for syndrome differentiation and treatment,it's called for keeping the balance of cold and heat.According to the proportion of deficiency and excess,he treats the disease with the syndrome.The prescription is mainly self-made prescription Shiwei Xiexin Decoction,which can detoxify and benefit vital Qi.If spleen deficiency causes kidney deficiency,kidney-nourishing herbs should be added to solve this condition.If there're Qi and blood stasis,flower herbs are preferred for use.Aiming at the difference between phlegm toxin,stasis toxin and heat toxin,three pairs of triplet herbs which include Cremastrae Pseudobulbus-Salvia chinensis-Actinidia Valvata Dunn,Nidus Vespae-Herba Artemisiae Anomalae-Rhizoma Curcumae and Taraxacum mongolicum-Scutellariae Barbatae Herba-Hedyotis Diffusa are selected for treatment.The syndrome differentiation of the case was spleen deficiency and toxin accumulation,and complex cold-heat.The treatment was invigorating the spleen and detoxifying,and adjusting cold-heat in balance,and Shiwei Xiexin Decoction was used,considering the combination of blood stasis and toxin accumulation,Nidus Vespae-Herba Artemisiae Anomalae-Rhizoma Curcumae were selected.At the follow-up visit,because of obstruction of Qi and blood and imbalance of Qi movement,and Sanhua Baicao Drink to gently promote depression.In the third visit,considering age growth,the liver and kidney were gradually declining,the long-term illness damaged primordial Qi,and the Sijun Zhenyuan Decoction was used to invigorate the spleen and tonify the kidney,consolidate the basis and cultivate primordial Qi.[Conclusion]Director CHEN's experience in differentiating and treating chronic atrophic gastritis with intestinal metaplasia from"deficiency in origin and toxin accumulation"is unique and effective,which is worthy of promotion and learning.

Analysis on Chen Yongcan's Experience in the Treatment of Chronic Atrophic Gastritis with Intestinal Metaplasia Based on the Theory of"Yang Transforming into Qi and Yin Forming Shape" / 中国中医药信息杂志

Chronic atrophic gastritis with intestinal metaplasia is a necessary stage for chronic gastritis to develop into gastric cancer.Chen Yongcan believes that the theory of"yang transforming into qi and yin forming shape"can explain the development and diagnosis of chronic atrophic gastritis with intestinal metaplasia.The deficiency of"yang transforming into qi"leads to too much"yin forming shape",which changes the physiological function of the spleen and stomach,and then develops into the pathological process of chronic atrophic gastritis with intestinal metaplasia.Based on the theory of"yang transforming into qi and yin forming shape",the pathogenesis of this disease was briefly analyzed.In clinical treatment,the state of yin and yang was first identified,and the treatment principle of tonifying yang qi to remove yin turbidity was put forward to achieve the purpose of treating both manifestation and root causes.

Cryptogenic Multifocal Ulcerous Stenosing Enteritis Treated by Integrated Traditional Chinese and Western Medicine： A Case Report / 中医杂志

Cryptogenic multifocal ulcerous stenosing enteritis（CMUSE） is a rare and difficult disease characte-rized by chronic recurrent intestinal obstruction and gastrointestinal bleeding caused by multiple ulcers and strictures of the small intestine. There is still a lack of mature and systematic guidance for the treatment of the disease. This paper reported a case of CMUSE mainly manifested as fatigue， abdominal distention， and edema of both lower limbs ， who is treated by integrated traditional Chinese and western medicine. In western medicine treatment， hormone and symptomatic treatment are mainly used. In traditional Chinese medicine treatment， the method of fortifying spleen and reinforcing healthy qi is taken as the basis； during the active stage of the disease， the method of moving qi and removing stagnation， clearing and removing dampness and heat， astringing and engendering flesh should be combined with， while during the remission stage， it is advised to unite with the method of diffusing lung and moving water， regulating and harmonizing zang-fu （脏腑） organs； simultaneously， replenishing qi and invigorating blood can be used throughout the treatment， and attach importance to the maintenance therapy of the traditional Chinese medicine immunomo-dulatory agent Tripterygium glycosides. After more than 2 years of treatment， the patient's clinical symptoms were significantly relieved， and all indicators basically restored to normal， having a stable condition.

Clinical and pathological features of 52 patients with glomerulonephritis with dominant C3 / 中南大学学报(医学版)

Objective:With the in-depth study of complement dysregulation,glomerulonephritis with dominant C3 has received increasing attention,with a variety of pathologic types and large differences in symptoms and prognosis between pathologic types.This study analyzes the clinical,pathological,and prognostic characteristics of different pathological types of glomerulonephritis with dominant C3,aiming to avoid misdiagnosis and missed diagnoses. Methods:The clinical,pathological,and follow-up data of 52 patients diagnosed as glomerulonephritis with dominant C3 by renal biopsy from June 2013 to October 2022 were retrospectively analyzed.According to the clinical feature and results of pathology,15 patients with post-infectious glomerulonephritis(PIGN)and 37 patients with of non-infectious glomerulonephritis(N-PIGN)were classified.N-PIGN subgroup analysis was performed,and 16 patients were assigned into a C3-alone-deposition group and 21 in a C3-dominant-deposition group,or 27 in a C3 glomerulopathy(C3G)group and 10 in a non-C3 nephropathy(N-C3G)group. Results:The PIGN group had lower creatinine values(84.60 μmol/L vs 179.62 μmol/L,P= 0.001),lower complement C3 values(0.36 g/L vs 0.74 g/L,P<0.001)at biopsy,and less severe pathological chronic lesions compared with the N-PIGN group.In the N-PIGN subgroup analysis,the C3-dominant-deposition group had higher creatinine values(235.30 μmol/L vs 106.70 μmol/L,P=0.004)and higher 24-hour urine protein values(4 025.62 mg vs 1 981.11 mg,P=0.037)than the C3-alone-deposition group.The prognosis of kidney in the PIGN group(P=0.049),the C3-alone-deposition group(P=0.017),and the C3G group(P=0.018)was better than that in the N-PIGN group,the C3-dominant-deposition group,and the N-C3G group,respectively. Conclusion:Glomerulonephritis with dominant C3 covers a variety of pathological types,and PIGN needs to be excluded before diagnosing C3G because of considerable overlap with atypical PIGN and C3G;in addition,the deposition of C1q complement under fluorescence microscope may indicate poor renal prognosis,and relevant diagnosis,treatment,and follow-up should be strengthened.

Application of two phacoemulsification modes in cataract surgery with different hard nuclear / 国际眼科杂志(Guoji Yanke Zazhi)

AIM: To compare the clinical efficacy of the Balanced energy system versus the conventional torsional ultrasound system in phacoemulsification surgeries for cataracts with varying nuclear hardness.METHODS: In this study, 120 patients(122 eyes)with age-related cataracts scheduled for surgery between November 2021 and November 2022 at our hospital were randomly divided into two groups: 58 patients(59 eyes)in the experimental group underwent surgery using the Balanced energy system, while 62 patients(63 eyes)in the control group were treated with the conventional torsional ultrasound system. Intraoperative cumulative dissipated energy(CDE), case time(CT), aspiration time(AST), and estimated fluid used(EFU)were recorded. Patients were followed-up for 3mo to examine and record the best-corrected visual acuity(BCVA)and corneal endothelial cell density(ECD), and to calculate the rate of endothelial cell loss.RESULTS: Comparing the intraoperative parameters between the two groups, there was no significant difference in CT(P&#x003E;0.05), but the CDE, AST and EFU of the patients in the experimental group were lower than those of the control group(P&#x003C;0.05), and the CDE of patients with grade III nuclear hardness in the experimental group was lower than the control group(P&#x003C;0.05), CDE, AST and EFU in patients with grade IV nuclear hardness were lower than those in the control group(P&#x003C;0.05). After 3mo of follow-up, BCVA in both groups improved significantly, and the experimental group recovered faster than the control group. At 3mo after surgery, the ECD of the two groups of patients was reduced compared with that before surgery(P&#x003C;0.01), but there were no significant differences in ECD and endothelial cell loss rates between the experimental and control groups before and at 3mo after surgery(P&#x003E;0.05). In grade IV nuclear hardness cataracts, the rate of endothelial cell loss in the experimental group was significantly lower than that in the control group(4.63%±4.10% vs. 6.63%±4.49%, P&#x003C;0.01).CONCLUSION: The Balanced energy system and the conventional torsional ultrasound system both show high safety and efficiency in phacoemulsification of cataracts with different nuclear hardness. However, the former demonstrates substantial advantages in cases with dense nuclei, offering lower ultrasound energy, shorter aspiration and infusion times, and reduced volume of infusion fluid.

Production of limonene and its derivative in Saccharomyces cerevisiae via metabolic engineering / 生物工程学报

Limonene and its derivative perillic acid are widely used in food, cosmetics, health products, medicine and other industries as important bioactive natural products. However, inefficient plant extraction and high energy-consuming chemical synthesis hamper the industrial production of limonene and perillic acid. In this study, limonene synthase from Mentha spicata was expressed in Saccharomyces cerevisiae by peroxisome compartmentalization, and the yield of limonene was 0.038 mg/L. The genes involved in limonene synthesis, ERG10, ERG13, tHMGR, ERG12, ERG8, IDI1, MVD1, ERG20ww and tLS, were step-wise expressed via modular engineering to study their effects on limonene yield. The yield of limonene increased to 1.14 mg/L by increasing the precursor module. Using the plasmid with high copy number to express the above key genes, the yield of limonene significantly increased up to 86.74 mg/L, which was 4 337 times higher than that of the original strain. Using the limonene-producing strain as the starting strain, the production of perillic acid was successfully achieved by expressing cytochrome P450 enzyme gene from Salvia miltiorrhiza, and the yield reached 4.42 mg/L. The results may facilitate the construction of cell factory with high yield of monoterpene products by S. cerevisiae.