Octapeptin has strong antibacterial activity against Gram-negative bacteria such as Escherichia coli, Klebsiella pneumoniae and Acinetobacter baumannii, while it also has activity against some Gram-positive bacteria. This study used natural octapeptin A3 and B3 as lead compounds for structural modification. Twenty-one peptide derivatives (including A3 and B3) containing eight amino acid residues were prepared by solid-phase synthesis, and evaluated for antibacterial activity and renal cytotoxicity. Among them, three compounds 6, 7 and 17 exhibited broad-spectrum antibacterial activity and significantly enhanced the activity for Gram-positive bacteria while maintaining the activity of Gram-negative bacteria. Several compounds improved the activity for Pseudomonas aeruginosa. Compound 7 was active against all test strains and had relatively low renal cytotoxicity. The results provide a basis for the further development of novel polypeptide antibiotics.

Objective To investigate the expression of serum Elabela and leucine-rich-alpha-2-glycoprotein-1(LRG1)in ulcerative colitis(UC)patients and their correlation with disease activity index(DAI).Methods A total of 98 patients with UC admitted to Yuncheng Central Hospital from January to December 2022 were selected as the UC group,including 62 patients in active stage and 36 patients in remission stage.According to the severity of the disease,these patients were divided into mild group(n=26),moderate group(n=43)and severe group(n=29).In addition,these patients were grouped into gradeⅠ group(n=25),grade Ⅱ group(n=40)and grade Ⅲ group(n=33)based on the endoscopic activity index(EAI).According to the mucosal healing condition under endoscopy,these patients were divided into the healed group(n=65)and the unhealed group(n=33).Another 51 patients with colonic polyps were selected as control group 1,and 50 healthy individuals were selected as control group 2.Serum Elabela and LRG1 levels were detected by enzyme-linked immunosorbent assay(ELISA).Pearson method was used to analyze the correlation between serum Elabela,LRG1 levels and DAI in UC patients.Receiver operating characteristic(ROC)curve was applied to analyze the predictive value of serum Elabela and LRG1 for endoscopic mucosal healing.Results The levels of Elabela(4.77±1.36 ng/ml)and LRG1(352.12±39.45 ng/ml)in UC group were higher than those in control group 1(2.51±0.53 ng/ml,121.02±21.06 ng/ml)and control group 2(2.35±0.42 ng/ml,120.35±23.49 ng/ml),and the differences were statistically significant(t= 11.410～39.000,all P＜0.05).The levels of Elabela(5.26±0.54 ng/ml)and LRG1(370.42±12.49 ng/ml)in the active group were higher than those in the remission group(3.93±0.42 ng/ml,320.60±8.47 ng/ml),and the differences were statistically significant(t=12.705,21.242,all P＜0.05).The levels of Elabela(5.89±0.20 ng/ml)and LRG1(369.92±16.59 ng/ml)in the severe group were higher than those in the moderate groups(4.51±0.67 ng/ml,356.12±18.75 ng/ml)and mild groups(3.95±0.21 ng/ml,325.65±10.14 ng/ml),and the differences were statistically significant(t=3.205～35.077,all P＜0.05).The levels of Elabela(5.80±0.18 ng/ml)and LRG1(369.16±13.47 ng/ml)in grade Ⅲ group were higher than those in grade Ⅱ group(4.49±0.35 ng/ml,355.46±16.34 ng/ml)and grade Ⅰgroup(3.86±0.16 ng/ml,324.15±8.71 ng/ml),and the differences were statistically significant(t= 3.854～48.725,all P＜0.05).The levels of Elabela(5.12±0.42 ng/ml)and LRG1(367.12±14.27 ng/ml)in unhealed group were higher than those in healed group(4.08±0.37 ng/ml,322.57±10.35 ng/ml),and the differences were statistically significant(t=12.043,15.917,all P＜0.05).The serum levels of Elabela and LRG1 in UC patients were positively correlated with EAI and ESR(r=0.602,0.298;0.576,0.302,all P＜0.05),but negatively correlated with hemoglobin level(r=-0.351,-0.334,all P＜0.05).The area under the curve predicted by the combination of serum Elabela and LRG1 for endoscopic mucosal healing was 0.926(95%CI:0.880～0.958),was higher than the 0.803(95%CI:0.741～0.856)and 0.783(95%CI:0.720～0.838)predicted by Elabela and LRG1 alone,and the difference was statistically significant(Z=4.101,4.228,all P＜0.05).Conclusion The serum levels of Elabela and LRG1 in UC patients increased,and they were related to the increase of DAI and worsening of the condition.Testing serum Elabela and LRG1 can provide a reference for evaluating mucosal healing under UC endoscopy.

Exploring the action targets (groups) of traditional Chinese medicine (TCM) is an important proposition to promote the innovation and development of TCM, but it has attracted a lot of attention as to whether it is related to the efficacy or the disease. Our team found that the metabolomic signature molecules in the development of diabetes mellitus (DM) were significantly associated with the clinical efficacy of Yuquan Pill through a large clinical sample study. Taking this as a clue, our team intends to expand the information on the omics features of DM development, and discover the key targets (groups) and their lead compounds for the hypoglycemic effect of Yuquan Pill. The project includes: ① Based on the retrospective clinical trials, using omics technology integrated with generative artificial intelligence, mining the characteristic information of proteome and microbiome, forming driving factors together with metabolome characteristic molecules, and characterizing the molecular trajectories of diabetes evolution and their interference by Yuquan Pill; ② Taking the evolving molecular trajectories as a link and pointer, using anthropomorphic modeling and molecular biology techniques such as chemical proteomics to discover the key targets (groups) of Yuquan Pill's hypoglycemic effect, with the prospective clinical samples for validation; ③ Evaluate the overall response of key targets (groups) using graph neural network technology, and search for drug-derived/endogenous lead compounds with proven clinical pathologies and clear mechanisms of action, so as to provide a new paradigm and technology for the discovery of complex active ingredient targets (groups) of TCM that are related to their clinical efficacy, as well as for the discovery of innovative medicines.

ObjectiveThe advent of atomic force microscope (AFM) provides a powerful tool for the studies of life sciences. Particularly, AFM-based indentation assay has become an important method for the detection of cellular mechanics, yielding numerous novel insights into the physiological and pathological activities from the single-cell level and considerably complementing traditional biochemical ensemble-averaged assays. However, current AFM indentation technology is mainly dependent on manual operation with low efficiency, seriously restricting its practical applications in the field of life sciences. Here, a method based on the combination of deep learning image recognition and AFM is developed for precisely and efficiently detecting the mechanical properties of single isolated cells and clustered cells. MethodsThe YOLO deep learning algorithm was used to recognize the central region of the cell in the optical image, the dual UNet neural network with an embedded vision transformer (ViT) module was used to recognize the peripheral regions of cell, and the template matching algorithm was used to recognize the tip of spherical probe. Based on the automatic determination of the positional relationships between the microsphere tip and the different parts of cell, the AFM tip was accurately moved to the central and peripheral regions of the target cell for rapid measurements of cell mechanical properties. Two types of cells, including HEK 293 cell (human embryonic kidney cell) and HGC-27 cell (human undifferentiated gastric cancer cell), were used for the experiments. The Hertz model was applied to analyze the force curves obtained on cells to obtain cellular Young’s modulus. ResultsAFM probe can be precisely moved to the different parts (central areas and peripheral areas) of cells to perform mechanical measurements under the guidance of deep learning-based optical image automatic recognition. The experimental results show that the proposed method is not only suitable for single isolated cells, but also suitable for clustered cells. ConclusionThe research demonstrates the great potential of deep learning image recognition to aid AFM in the precise and efficient detection of cellular mechanical properties mechanics, and combining deep learning-based image recognition with AFM will benefit the development of high-throughput AFM-based methodology to measure the mechanical properties of cells.

Objective:To analyze the factors for low libido in male patients with sexual dysfunction and provide some evidence for the clinical diagnosis and treatment of the condition.Methods:We retrospectively analyzed the clinical data on 111 cases of sex-ual dysfunction(including disorders in erection,ejaculation or libido)treated in the Zhengzhou University First Hospital from June to September 2023.According to the patients'complaints of low libido or accompanied symptoms,we divided them into a normal libido group(n=68)and a low libido(n=43),obtained their scores on IIEF-5,Premature Ejaculation Diagnostic Tool(PEDT),13-1-tem Self-Rating Libido Scale for Males(SRLS-M),Patients'Health Questionnaire-9(PHQ-9)and General Anxiety Disorder-7(GAD-7),examined the levels of the sexual hormones FSH,LH,PRL,T,free testosterone(fT),E2,?insulin-like growth factor 1(IGF-1)and growth hormone(GH),compared the basic parameters between the two groups,and analyzed their correlation with the libido values.Results:The IIEF-5,PEDT and libido scores and IGF-1 level were significantly higher and the GAD-7 score remark-ably lower in the normal than in the low libido group(P＜0.05),but no statistically significant differences were observed between the two groups in the PHQ-9 score and the levels FSH,LH,PRL,T,fT,E2,T/E2 and GH(P＞0.05).The libido value was correla-ted positively with the I1EF-5(r=0.28,P＜0.01)and PEDT scores(r=0.29,P＜0.01)and IGF-1 level(r=0.23,P＜0.05),but negatively with the GAD-7 score(r=-0.21,P＜0.05).Conclusion:Low libido results from multiple factors,which cannot be fully explained by sexual hormone levels but is closely related to the decreased level of IGF-1 and severity of ED and anxiety.

Functional membrane microdomains (FMMs) that are mainly composed of scaffold proteins and polyisoprenoids play important roles in diverse cellular physiological processes in bacteria. The aim of this study was to identify the correlation between MK-7 and FMMs and then regulate the MK-7 biosynthesis through FMMs. Firstly, the relationship between FMMs and MK-7 on the cell membrane was determined by fluorescent labeling. Secondly, we demonstrated that MK-7 is a key polyisoprenoid component of FMMs by analyzing the changes in the content of MK-7 on cell membrane and the changes in the membrane order before and after destroying the integrity of FMMs. Subsequently, the subcellular localization of some key enzymes in MK-7 synthesis was explored by visual analysis, and the intracellular free pathway enzymes Fni, IspA, HepT and YuxO were localized to FMMs through FloA to achieve the compartmentalization of MK-7 synthesis pathway. Finally, a high MK-7 production strain BS3AT was successfully obtained. The production of MK-7 reached 300.3 mg/L in shake flask and 464.2 mg/L in 3 L fermenter.
Bacillus subtilis/metabolism* ; Vitamin K 2/metabolism* ; Bioreactors/microbiology* ; Membrane Microdomains/metabolism*

Bacillus subtilis is recognized as a generally-regarded-as-safe strain, and has been widely used in the biosynthesis of high value-added products, including N-acetylneuraminic acid (NeuAc) which is widely used as a nutraceutical and a pharmaceutical intermediate. Biosensors responding to target products are widely used in dynamic regulation and high-throughput screening in metabolic engineering to improve the efficiency of biosynthesis. However, B. subtilis lacks biosensors that can efficiently respond to NeuAc. This study first tested and optimized the transport capacity of NeuAc transporters, and obtained a series of strains with different transport capacities for testing NeuAc-responsive biosensors. Subsequently, the binding site sequence of Bbr_NanR responding to NeuAc was inserted into different sites of the constitutive promoter of B. subtilis, and active hybrid promoters were obtained. Next, by introducing and optimizing the expression of Bbr_NanR in B. subtilis with NeuAc transport capacity, we obtained an NeuAc-responsive biosensor with wide dynamic range and higher activation fold. Among them, P535-N2 can sensitively respond to changes in intracellular NeuAc concentration, with the largest dynamic range (180-20 245) AU/OD. P566-N2 shows a 122-fold of activation, which is 2 times of the reported NeuAc-responsive biosensor in B. subtilis. The NeuAc-responsive biosensor developed in this study can be used to screen enzyme mutants and B. subtilis strains with high NeuAc production efficiency, providing an efficient and sensitive analysis and regulation tool for biosynthesis of NeuAc in B. subtilis.
N-Acetylneuraminic Acid/metabolism* ; Bacillus subtilis/metabolism* ; Promoter Regions, Genetic/genetics* ; Binding Sites ; Biosensing Techniques

OBJECTIVES: Occult cervical lymph node metastasis is the most important reason for recurrence of early-stage tongue cancer and oropharyngeal cancer. Cervical sentinel lymph node (SLN) biopsy may help to identify them. Pigment dyes and radionuclide were used to label SLN. Both of them had shortage. This study aims to investigate the application and clinical value of indocyanine green fluorescence imaging in cervical SLN biopsy for patients with early-stage tongue cancer and oropharyngeal cancer. METHODS: Retrospective analysis was conducted on 23 patients with early tongue cancer and oropharyngeal cancer, who received surgical treatment and used indocyanine green as a tracer to find SLN in Hunan Cancer Hospital from April to October 2021. The detection rate of SLN was calculated and the distribution of SLN in different regions of the neck was analyzed. RESULTS: SLN was successfully identified in 22 of 23 patients, with a detection rate of 95.65%. Among these 22 patients, 3 patients were found to have cancer metastasis, and the rate of occult lymph node metastasis was 13.63%. No pathologically positive lymph nodes were detected in SLN-negative patients, and thus the positive predictive rate was 100%. For patients with primary lesions located in the anterior 2/3 of the tongue, the constituent ratios of SLN in neck area I, II, III, and IV were 15.15%, 71.72%, 13.13%, and 0, respectively. For patients with primary lesions located in base of the tongue, the constituent ratios of SLN in neck area I, II, III, and IV were 0, 44.44%, 44.44%, and 11.12%, respectively. CONCLUSIONS Indocyanine green fluorescence imaging has a high detection rate with accurate positive prediction in the anterior cervical SLN biopsy in patients with early-stage tongue cancer and oropharyngeal cancer. Meanwhile, it can also reflect the lymphatic drainage of tumors located at different primary sites, which has high clinical value.
Humans ; Sentinel Lymph Node Biopsy/methods* ; Indocyanine Green ; Lymphatic Metastasis/pathology* ; Tongue Neoplasms/surgery* ; Retrospective Studies ; Lymph Nodes/pathology* ; Oropharyngeal Neoplasms/surgery* ; Tongue

Rhein is an anthraquinone compound extracted from rhubarb, aloe vera, Polygonum multiflorum. In this study, we screened the potential targets of rhein through protein chip technology and investigated the underlying mechanism of its inhibition of colorectal cancer. Colony formation assay and scratch assay were used to examine the effect of rhein on the proliferation and migration abilities of HCT116 cell; KEGG and protein interaction analyses of rhein specific binding proteins by screening rhein binding proteins using protein chip; qRT-PCR and Western blot assays were used to determine the effect of rhein on the expression levels of BCL-2-associated X protein (BAX), B-cell lymphoma-2 (BCL-2) and argininosuccinate synthetase 1 (ASS1) in HCT116 cell. The antitumor effect of rhein was verified by azoxymethane combined with dextran sodium sulfate (AOM/DSS) induced colorectal cancer model. Experimental animal procedures were performed in accordance with animal welfare and the standards of the Laboratory Animal Ethics Committee of South China Agricultural University, with approval from the ethics committee. In vivo and in vitro results indicate that rhein specific binding proteins are mainly involved in amino acid anabolism, especially the arginine anabolic signaling pathway. Rhein inhibited the proliferation and migration of HCT116 cell in a concentration-dependent manner. Treated with rhein for 24 h significantly enhanced the expression of BAX and ASS1 in HCT116 cells, as well as the level of nitric oxide (NO) metabolism. In a mouse model of colorectal cancer, rhein significantly alleviated AOM/DSS induced weight loss and reduced fecal occult blood score. Meanwhile, rhein enhanced BAX and ASS1 expression in colon tumor tissue, as well as increased arginine and NO in serum. IHC and HE stain indicated that rhein alleviated Ki67 expression and macrophage infiltration in the colonic tissue of mice with AOM/DSS and delayed tumor formation. In conclusion, rhein can exert antitumor activity by regulating arginine and NO metabolism through ASS1.

OBJECTIVES: To reconstruct the cases of acceleration craniocerebral injury caused by blunt in forensic cases by finite element method (FEM), and to study the biomechanical mechanism and quantitative evaluation method of blunt craniocerebral injury. METHODS: Based on the established and validated finite element head model of Chinese people, the finite element model of common injury tool was established with reference to practical cases in the forensic identification, and the blunt craniocerebral injury cases were reconstructed by simulation software. The cases were evaluated quantitatively by analyzing the biomechanical parameters such as intracranial pressure, von Mises stress and the maximum principal strain of brain tissue. RESULTS: In case 1, when the left temporal parietal was hit with a round wooden stick for the first time, the maximum intracranial pressure was 359 kPa; the maximum von Mises stress of brain tissue was 3.03 kPa at the left temporal parietal; the maximum principal strain of brain tissue was 0.016 at the left temporal parietal. When the right temporal was hit with a square wooden stick for the second time, the maximum intracranial pressure was 890 kPa; the maximum von Mises stress of brain tissue was 14.79 kPa at the bottom of right temporal lobe; the maximum principal strain of brain tissue was 0.103 at the bottom of the right temporal lobe. The linear fractures occurred at the right temporal parietal skull and the right middle cranial fossa. In case 2, when the forehead and left temporal parietal were hit with a round wooden stick, the maximum intracranial pressure was 370 kPa and 1 241 kPa respectively, the maximum von Mises stress of brain tissue was 3.66 kPa and 26.73 kPa respectively at the frontal lobe and left temporal parietal lobe, and the maximum principal strain of brain tissue was 0.021 and 0.116 respectively at the frontal lobe and left temporal parietal lobe. The linear fracture occurred at the left posterior skull of the coronary suture. The damage evaluation indicators of the simulation results of the two cases exceeded their damage threshold, and the predicted craniocerebral injury sites and fractures were basically consistent with the results of the autopsy. CONCLUSIONS The FEM can quantitatively evaluate the degree of blunt craniocerebral injury. The FEM combined with traditional method will become a powerful tool in forensic craniocerebral injury identification and will also become an effective means to realize the visualization of forensic evidence in court.
Humans ; Finite Element Analysis ; Biomechanical Phenomena ; Wounds, Nonpenetrating ; Head ; Craniocerebral Trauma