To facilitate the early intelligent screening of pediatric genu valgum, this study develops a deep learning-based gait recognition model tailored for clinical application. The model is constructed upon a three-dimensional residual network architecture and incorporates a triplet attention module alongside a spatial hierarchical pooling module, jointly enhancing feature interaction across temporal, spatial, and channel dimensions. This design ensures an optimal balance between representational capacity and computational efficiency. Evaluated on a self-constructed dataset, the model achieves precision of 98.0%, 97.1%, and 96.5%, recall rates of 97.5%, 97.0%, and 95.0%, and F ₁-scores of 0.98, 0.97, and 0.96 on the training, validation, and test sets, respectively, demonstrating excellent recognition performance and strong generalization ability. Ablation experiments confirm the importance of the proposed model's core components in improving performance, and comparative experiments further highlight its significant advantages in recognition accuracy and robustness. Visualization experiments reveal that the model effectively focuses on key regions of gait images, with attention regions aligning closely with clinical anatomical landmarks, thereby enhancing the interpretability of the model's decision-making in clinical applications. In summary, the proposed model not only offers an efficient and reliable technical solution for early intelligent screening of genu valgum in children, but also provides a practical pathway for applying gait recognition technology in medical diagnosis.
Humans ; Gait ; Deep Learning ; Genu Valgum/physiopathology* ; Child ; Neural Networks, Computer ; Algorithms

OBJECTIVE: To investigate the characteristics of central nervous system regulation in patients with refractory overactive bladder (rOAB) using resting-state functional magnetic resonance imaging (rs-fMRI), and to analyze the differences in brain function and connection between the patients and healthy population. METHODS: From May 1 to November 30, 2024, we performed rs-fMRI for 47 rOAB patients and another 47 matched healthy controls, documented relevant clinical data from all the participants and obtained their Overactive Bladder Symptom Scores (OABSS) and Overactive Bladder Questionnaire (OAB-Q) scores. Based on rs-fMRI, we compared the results of Independent Component Analysis (ICA), amplitude of low-frequency fluctuations (ALFF), fractional amplitude of low-frequency fluctuations (fALFF), regional homogeneity (ReHo) and degree centrality (DC) between the rOAB patients and healthy controls. RESULTS: The rOAB patients, in comparison with the healthy controls, showed dramatically higher daytime urination frequency (11.64 ± 3.85) vs (5.76 ± 0.91), nighttime urination frequency (3.72 ± 1.64) vs (0.31 ± 0.47), OABSS (8.22 ± 2.21) vs (0.64±0.78), OAB-Q1 score (20.85 ± 5.28) vs (6.78 ± 1.04), and OAB-Q2 score (45.04 ± 12.11) vs (14.51 ± 1.66) (all P<0.01). No statistically significant differences were observed in the results of ICA and ALFF between the right superior frontal and right middle frontal regions in the rOAB patients (P>0.05), but fALFF, ReHo and DC were significantly decreased in the patients compared with those in the healthy controls (P<0.01). CONCLUSION Compared with healthy population, the functions and connection of the frontal superior right and frontal middle right brain regions in rOAB patients are significantly down-regulated, which may serve as new therapeutic targets.
Humans ; Urinary Bladder, Overactive/physiopathology* ; Magnetic Resonance Imaging ; Brain/physiopathology* ; Female ; Male ; Adult ; Surveys and Questionnaires ; Case-Control Studies ; Middle Aged ; Rest ; Brain Mapping

ObjectiveSodium hyaluronate (HA) was used as the research object to modify it with phenolic acid in order to obtain the molecular structure with better antioxidant activity or even new activity. MethodsIn this study, 5 kinds of phenolic acid-sodium hyaluronate was prepared by free radical-mediated grafting method, and the grafts with the highest grafting degree were selected to optimize the synthesis conditions. Then, grafts structure and physicochemical properties were analyzed. The grafts were characterized by IR, UV, ¹H NMR, FESEM and TGA spectra. The in vitro antioxidant capacity of grafts was determined by the scavenging ability of DPPH·, ABTS⁺· and O^2-·. ResultsAmong 5 kinds of phenolic acid-sodium hyaluronate, the grafting rate of ferulic acid-sodium hyaluronate copolymer (FA-HA) was highest , which was chosen as experimental sample in the following tests. Firstly, the reaction conditions were investigated and the highest grafting rate was (16.59±0.31) mg/g at the optimal preparation conditions. Then, FA-HA structure and physicochemical properties were analyzed. Data from UV, IR, ¹H NMR analyses, TGA showed that FA were successfully grafted to HA. Compared with HA, the results of gel permeation chrematography (GPC) showed that the molecular mass distribution ofFA-HA copolymer decreased from 34.4 to 31.5 ku, but the uniformity of molecular distribution was improved. FESEM results showed that the structure of copolymer exhibited a closely connected lamellar structure with a relatively smooth surface. TGA results showed that thermal stability of FA-HA had a little decline. The antioxidant performance in vitro results showed that, during 0.25-10 g/L, FA-HA can eliminate (83.76±4.86)% DPPH·, (76.95±5.06)% ABTS⁺· and (83.08±2.51)% O^2-· respectively at 10 g/L. which were higher than that of native HA and FA. ConclusionFA and HA were successfully grafted together by free radical grafting, and the grafted FA-HA had better antioxidant activity in vitro, which provided a theoretical basis for further research and development of phenolic acid-HA grafts.

Sodium-glucose linked transporter 2 inhibitors（SGLT2i） are novel oral hypoglycaemic agents and are widely used for hypoglycemic therapy in patients with type 2 diabetes mellitus， but differences in the genetic backgrounds of patients often lead to variable responsiveness to drug therapy. By summarizing the pharmacogenomic studies of SGLT2i， the article found that the genetic variants of UGT1A9， UGT2B4， SLC5A2， ABCB1， PNPLA3 and WFS1 may influence the pharmacokinetics of SGLT2i and the external hypoglycemic effects of SGLT2i in improving non-alcoholic fatty liver disease， weight loss and so on， but there is no clinical evidence that genetic polymorphisms affect the hypoglycemic efficacy of SGLT2i.

Objective To investigate the expression of serum Maresin 1 and pro-platelet basic protein(PPBP)in patients with diabetes nephropathy(DN)and their correlation with long-term prognosis.Methods A total of 83 patients with diabetes nephropathy admitted to Tangshan Central Hospital from May 2018 to May 2020 were selected as the diabetes nephropathy group.In the same period,60 patients with simple type 2 diabetes were selected as the diabetes group and 60 healthy people as the control group.Enzyme linked immunosorbent assay(ELISA)was used to detect the levels of serum Maresin1 and PPBP.Spearman correlation analysis was used to analyze the correlation between the levels of serum Maresin1 and PPBP and renal pathological damage.COX proportional hazard regression analysis was used to analyze the factors influencing the long-term poor prognosis of patients with diabetes nephropathy.ROC curve was used to evaluate the predictive value of serum Maresin1 and PPBP for the long-term poor prognosis.Results The levels of serum Maresin1(15.90±4.53 ng/ml,12.34±4.29 ng/ml,9.65±4.38 ng/ml)in the control group,diabetes group and diabetes nephropathy group were decreased in turn while the levels of serum PPBP(263.45±85.22 pg/ml,349.28±80.49 pg/ml,435.76±87.21 pg/ml)were increased in turn,and the differences were statistically significant(F=35.159,72.678,all P＜0.05).With the increase of IFTA score,interstitial inflammation score,and glomerular grading,serum Maresin1 level was decreased(F=25.838,25.187,9.751,all P＜0.05),while serum PPBP level was increased(F=56.513,92.702,58.137,all P＜0.05),and the differences were statistically significant,respectively.Serum Maresin1 was negatively correlated with IFTA score,interstitial inflammation score,and glomerular grading(r=-0.637,-0.581,-0.594,all P＜0.05),while serum PPBP was positively correlated with IFTA score,interstitial inflammation score,and glomerular grading(r=0.659,0.664,0.608,all P＜0.05),with significant differences.The course of diabetes nephropathy(HR=1.135,95％CI:1.012～1.370),24-hour urinary protein(HR=1.087,95％CI:1.016～1.164),PPBP(HR=1.208,95％CI:1.119～1.365),and IFTA score(HR=1.139,95％CI:1.024～1.219),interstitial inflammation score(HR=1.122,95％CI:1.006～1.249)and glomerular grading(HR=1.139,95％CI:1.052～1.273)were independent risk factors for long-term prognosis of diabetes nephropathy patients,while eGFR(HR=0.934,95％CI:0.892～0.993)and Maresin1(HR=0.903,95％CI:0.816～0.982)were protective factors for long-term prognosis(all P＜0.05).The areas under the curve(AUC)of serum Maresin1,PPBP and two indicators combined to predict the long-term poor prognosis of patients with diabetes nephropathy were 0.781,0.777 and 0.901,respectively.The AUC of two indicators combined was higher than that,and the differences were significant(Z=3.049,3.258,all P＜0.05).Conclusion In patients with diabetes nephropathy,serum Maresin1 was decreased and PPBP was increased,and the two indexes were closely related to the degree of renal injury.The combined test could effectively predict the long-term poor prognosis of patients.

The emerging biomedical industry has an increasing demand for the professional talents and puts forward higher requirements for the quality, especially the innovation ability of the talents. Exploring a new model for fostering the innovation ability of postgraduates majoring in biological and medical sciences based on the principle of integrating production, education and research is of practical significance for improving the quality of professional talents and empowering the bio-economic development. Taking the training of innovation ability of postgraduates majoring in biological and medical sciences at Jiangnan University as an example, this paper introduced a new training system of "six integration and six optimizations". This system included ideological guidance, discipline system, training program, faculty, research innovation platform, and communication and cooperation. Satisfactory cultivation results were achieved with this new system. This paper is expected to provide reference for the training of innovative talents in the biological and medical industry.
Biological Science Disciplines/education* ; China ; Biomedical Research ; Humans ; Inventions

As an essential amino acid, l-tryptophan is widely used in food, feed and medicine sectors. Nowadays, microbial l-tryptophan production suffers from low productivity and yield. Here we construct a chassis E. coli TRP3 producing 11.80 g/L l-tryptophan, which was generated by knocking out the l-tryptophan operon repressor protein (trpR) and the l-tryptophan attenuator (trpL), and introducing the feedback-resistant mutant aroG^fbr. On this basis, the l-tryptophan biosynthesis pathway was divided into three modules, including the central metabolic pathway module, the shikimic acid pathway to chorismate module and the chorismate to tryptophan module. Then we used promoter engineering approach to balance the three modules and obtained an engineered E. coli TRP9. After fed-batch cultures in a 5 L fermentor, tryptophan titer reached to 36.08 g/L, with a yield of 18.55%, which reached 81.7% of the maximum theoretical yield. The tryptophan producing strain with high yield laid a good foundation for large-scale production of tryptophan.
Escherichia coli/metabolism* ; Tryptophan ; Metabolic Engineering ; Bioreactors ; Metabolic Networks and Pathways

Adipic acid is a high-value-added dicarboxylic acid which is primarily used in the production of nylon-66 for manufacturing polyurethane foam and polyester resins. At present, the biosynthesis of adipic acid is hampered by its low production efficiency. By introducing the key enzymes of adipic acid reverse degradation pathway into a succinic acid overproducing strain Escherichia coli FMME N-2, an engineered E. coli JL00 capable of producing 0.34 g/L adipic acid was constructed. Subsequently, the expression level of the rate-limiting enzyme was optimized and the adipic acid titer in shake-flask fermentation increased to 0.87 g/L. Moreover, the supply of precursors was balanced by a combinatorial strategy consisting of deletion of sucD, over-expression of acs, and mutation of lpd, and the adipic acid titer of the resulting E. coli JL12 increased to 1.51 g/L. Finally, the fermentation process was optimized in a 5 L fermenter. After 72 h fed-batch fermentation, adipic acid titer reached 22.3 g/L with a yield of 0.25 g/g and a productivity of 0.31 g/(L·h). This work may serve as a technical reference for the biosynthesis of various dicarboxylic acids.
Escherichia coli/metabolism* ; Metabolic Engineering ; Bioreactors ; Fermentation ; Adipates/metabolism*

The use of light energy to drive carbon dioxide (CO₂) reduction for production of chemicals is of great significance for relieving environmental pressure and solving energy crisis. Photocapture, photoelectricity conversion and CO₂ fixation are the key factors affecting the efficiency of photosynthesis, and thus also affect the efficiency of CO₂ utilization. To solve the above problems, this review systematically summarizes the construction, optimization and application of light-driven hybrid system from the perspective of combining biochemistry and metabolic engineering. We introduce the latest research progress of light-driven CO₂ reduction for biosynthesis of chemicals from three aspects: enzyme hybrid system, biological hybrid system and application of these hybrid system. In the aspect of enzyme hybrid system, many strategies were adopted such as improving enzyme catalytic activity and enhancing enzyme stability. In the aspect of biological hybrid system, many methods were used including enhancing biological light harvesting capacity, optimizing reducing power supply and improving energy regeneration. In terms of the applications, hybrid systems have been used in the production of one-carbon compounds, biofuels and biofoods. Finally, the future development direction of artificial photosynthetic system is prospected from the aspects of nanomaterials (including organic and inorganic materials) and biocatalysts (including enzymes and microorganisms).
Carbon Dioxide/metabolism* ; Photosynthesis ; Metabolic Engineering

Chronic pancreatitis (CP) is a progressive and irreversible fibroinflammatory disorder, accompanied by pancreatic exocrine insufficiency and dysregulated gut microbiota. Recently, accumulating evidence has supported a correlation between gut dysbiosis and CP development. However, whether gut microbiota dysbiosis contributes to CP pathogenesis remains unclear. Herein, an experimental CP was induced by repeated high-dose caerulein injections. The broad-spectrum antibiotics (ABX) and ABX targeting Gram-positive (G⁺) or Gram-negative bacteria (G^-) were applied to explore the specific roles of these bacteria. Gut dysbiosis was observed in both mice and in CP patients, which was accompanied by a sharply reduced abundance for short-chain fatty acids (SCFAs)-producers, especially G⁺ bacteria. Broad-spectrum ABX exacerbated the severity of CP, as evidenced by aggravated pancreatic fibrosis and gut dysbiosis, especially the depletion of SCFAs-producing G⁺ bacteria. Additionally, depletion of SCFAs-producing G⁺ bacteria rather than G^- bacteria intensified CP progression independent of TLR4, which was attenuated by supplementation with exogenous SCFAs. Finally, SCFAs modulated pancreatic fibrosis through inhibition of macrophage infiltration and M2 phenotype switching. The study supports a critical role for SCFAs-producing G⁺ bacteria in CP. Therefore, modulation of dietary-derived SCFAs or G⁺ SCFAs-producing bacteria may be considered a novel interventive approach for the management of CP.