OBJECTIVE: To investigate the effect of Yinlai Decoction (YD) on the microstructure of colon, and activity of D-lactic acid (DLA) and diamine oxidase (DAO) in serum of pneumonia mice model fed with high-calorie and high-protein diet (HCD). METHODS: Sixty male Kunming mice were randomly divided into 6 groups by the random number table method: normal control, pneumonia, HCD, HCD with pneumonia (HCD-P), YD (229.2 mg/mL), and dexamethasone (15.63 mg/mL) groups, with 10 in each group. HCD mice were fed with 52% milk solution by gavage. Pneumonia mice was modeled with lipopolysaccharide inhalation and was fed by gavage with either the corresponding therapeutic drugs or saline water, twice daily, for 3 days. After hematoxylin-eosin staining, the changes in the colon structure were observed under light microscopy and transmission electron microscope, respectively. Enzyme-linked immunosorbent assay was used to detect the protein levels of DLA and DAO in the serum of mice. RESULTS: The colonic mucosal structure and ultrastructure of mice in the normal control group were clear and intact. The colonic mucosal goblet cells in the pneumonia group tended to increase, and the size of the microvilli varied. In the HCD-P group, the mucosal goblet cells showed a marked increase in size with increased secretory activity. Loose mucosal epithelial connections were also observed, as shown by widened intercellular gaps with short sparse microvilli. These pathological changes of intestinal mucosa were significantly reduced in mouse models with YD treatment, while there was no significant improvement after dexamethasone treatment. The serum DLA level was significantly higher in the pneumonia, HCD, and HCD-P groups as compared with the normal control group (P<0.05). Serum DLA was significantly lower in the YD group than HCD-P group (P<0.05). Moreover, serum DLA level significantly increased in the dexamethasone group as compared with the YD group (P<0.01). There was no statistical significance in the serum level of DAO among groups (P>0.05). CONCLUSIONS YD can protect function of intestinal mucosa by improving the tissue morphology of intestinal mucosa and maintaining integrity of cell connections and microvilli structure, thereby reducing permeability of intestinal mucosa to regulate the serum levels of DLA in mice.
Mice ; Male ; Animals ; Lactic Acid/pharmacology* ; Intestinal Mucosa ; Colon/pathology* ; Dexamethasone/pharmacology* ; Diet, High-Protein ; Pneumonia/pathology*

Objective:To explore the cellular heterogeneity and the differences in branched trajectory of pericytes between keloids and localized scleroderma, and to provide new clues for the pathogenesis and therapeutic targets of the two skin fibrotic diseases.Methods:Single cell transcriptome sequencing (scRNA-seq) data of 3 cases of scleroderma, 4 cases of keloid and their corresponding 4 cases of adjacent normal skin samples were selected from GEO and GSA-Human databases, and the expression matrix of the data was drawn. Seurat 4.3.0 of R (4.2.2) was used to process the t-distributed stochastic neighbor embedding ( t-SNE) visualization map. Monocle 2.24.0 was used to analyze the pseudo-temporal trajectory of pericytes. Results:The unsupervised clustering of keloid and scleroderma skin tissues revealed 19 different cell populations, among which C7 and C11 cells were pericytes, marked by high expression levels of PDGFRB and RGS5 genes, accounting for 7.53% of the total cells. Pericytes can be further divided into 8 subgroups. Pseudo-temporal analysis revealed a branched trajectory with two major branches, that is, cell fate 1 and cell fate 2, which could be further divided into 5 cellular states of pericytes (S1-S5). S4 constituted the most of the prebranch, which represented the cellular state of the initial pericyte phenotype. S5 constituted the most of the cell fate 1 branch, which represented the early differentiation state of the pericyte phenotype. S1, S2, S3 constituted the most of the cell fate 2 branch. S3 represented the intermediate differentiation state of the pericyte phenotype, while S1 and S2 represented the terminal differentiation states of the pericyte phenotype. Compared with the uniform distribution of various differentiation states of pericytes in normal skin, the keloid pericytes mainly distributed in the prebranch (S4), cell fate 1 (S5) and the first half of cell fate 2 (S3), representing cellular states of the initial, early and intermediate phases of the pericyte phenotype. Branched expression analysis modeling revealed the overexpression of SOX4, COL4A1, COL6A3, AHR, CXCL3 and IL1R1 genes, et cetera. On the other hand, the localized scleroderma pericytes mainly distributed in the bottom half of cell fate 2 (S1, S2), representing the final differentiated phase of pericyte phenotype, which overexpressed ACTA2 and MYH11 genes.Conclusion:Pericytes in keloid and scleroderma are heterogenous and have different differentiation trajectories. Pericytes in keloid have stem-like characteristics, and play an important role in the pathologic characteristics of invasiveness and recurrence through high expression of genes related to cell stemness, epithelial-mesenchymal transition, invasiveness, and immune microenvironment regulation. However, pericytes in localized scleroderma may mainly transdifferentiate into myofibroblasts, leading to their fibrotic pathological phenotype.

Objective:To explore the cellular heterogeneity and the differences in branched trajectory of pericytes between keloids and localized scleroderma, and to provide new clues for the pathogenesis and therapeutic targets of the two skin fibrotic diseases.Methods:Single cell transcriptome sequencing (scRNA-seq) data of 3 cases of scleroderma, 4 cases of keloid and their corresponding 4 cases of adjacent normal skin samples were selected from GEO and GSA-Human databases, and the expression matrix of the data was drawn. Seurat 4.3.0 of R (4.2.2) was used to process the t-distributed stochastic neighbor embedding ( t-SNE) visualization map. Monocle 2.24.0 was used to analyze the pseudo-temporal trajectory of pericytes. Results:The unsupervised clustering of keloid and scleroderma skin tissues revealed 19 different cell populations, among which C7 and C11 cells were pericytes, marked by high expression levels of PDGFRB and RGS5 genes, accounting for 7.53% of the total cells. Pericytes can be further divided into 8 subgroups. Pseudo-temporal analysis revealed a branched trajectory with two major branches, that is, cell fate 1 and cell fate 2, which could be further divided into 5 cellular states of pericytes (S1-S5). S4 constituted the most of the prebranch, which represented the cellular state of the initial pericyte phenotype. S5 constituted the most of the cell fate 1 branch, which represented the early differentiation state of the pericyte phenotype. S1, S2, S3 constituted the most of the cell fate 2 branch. S3 represented the intermediate differentiation state of the pericyte phenotype, while S1 and S2 represented the terminal differentiation states of the pericyte phenotype. Compared with the uniform distribution of various differentiation states of pericytes in normal skin, the keloid pericytes mainly distributed in the prebranch (S4), cell fate 1 (S5) and the first half of cell fate 2 (S3), representing cellular states of the initial, early and intermediate phases of the pericyte phenotype. Branched expression analysis modeling revealed the overexpression of SOX4, COL4A1, COL6A3, AHR, CXCL3 and IL1R1 genes, et cetera. On the other hand, the localized scleroderma pericytes mainly distributed in the bottom half of cell fate 2 (S1, S2), representing the final differentiated phase of pericyte phenotype, which overexpressed ACTA2 and MYH11 genes.Conclusion:Pericytes in keloid and scleroderma are heterogenous and have different differentiation trajectories. Pericytes in keloid have stem-like characteristics, and play an important role in the pathologic characteristics of invasiveness and recurrence through high expression of genes related to cell stemness, epithelial-mesenchymal transition, invasiveness, and immune microenvironment regulation. However, pericytes in localized scleroderma may mainly transdifferentiate into myofibroblasts, leading to their fibrotic pathological phenotype.

ObjectiveTo explore the structural characteristics and functional differences of intestinal flora in patients with type 2 diabetes mellitus （T2DM） of dampness heat trapping spleen（DHTS） syndrome and Qi-Yin deficiency（QYD） syndrome. MethodFrom June 2018 to January 2020，62 T2DM patients with DHTS syndrome and 60 with QYD syndrome were selected from Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine. Serum and fecal samples were collected to compare body mass index（BMI），glucose and lipid metabolism，fasting insulin （FINS） and fasting C-peptide （FCP） levels，and homeostasis model assessment of insulin resistance（HOMA-IR） of the two syndrome types. Fecal samples were extracted for DNA database construction，and 16S rDNA high-throughput sequencing was used to analyze and compare the intestinal flora and metabolic pathways. Result① The BMI，fasting plasma glucose（FPG），2-hour postprandial blood glucose （2 h PBG），total cholesterol（TC），triglyceride（TG），low density lipoprotein（LDL），FINS，FCP，and HOMA-IR were higher in patients with DHTS syndrome than in patients with QYD syndrome，and the high density lipoprotein（HDL） of the former was lower than that of the latter，（P<0.05，P<0.01）. ② In terms of species composition and differences，Bacteroidetes， Clostridia and Gammaproteobacteria were dominant at the class level，and the relative abundance of Clostridia，Mollicutes and Verrucomicrobiae in QYD syndrome group was higher than that in DHTS syndrome group. At the order level，Bacteroidales，Clostridiales and Enterobacteriales were mainly found. The relative abundance of Clostridiales，Erysipelotrichales and Verrucomicrobiales in QYD syndrome group was obviously higher than that in DHTS syndrome group，while Aeromonadales in the former was lower than that in the latter （P<0.05）. At the family level，Bacteroidaceae，Prevotellaceae and Ruminococcaceae were predominant. The relative abundance of Ruminococcaceae，Porphyromonadaceae and Erysipelotrichaceae in QYD syndrome group was higher than that in DHTS syndrome group（P<0.05）. At the genus level，Bacteroides，Prevotella and Parabacteroides were mainly found. The relative abundance of Parabacteroides，Butyrivibrio and Ruminiclostridium in QYD syndrome group was higher than that in DHTS syndrome group，while that of Klebsiella and Megasphaera in DHTS syndrome group was higher than that in QYD syndrome group（P<0.05）. ③ Through Venn analysis of operational taxonomic units（OTU），it was found that there were 49 OTUs in patients with DHTS syndrome patients and 47 OTUs in QYD syndrome patients. ④ The results of OTU β diversity and α analysis showed that Shannon and Simpson indexes had statistical differences，while Ace and Chao indexes had no statistical differences. The intestinal microbial diversity of patients with QYD syndrome was higher than that of patients with DHTS syndrome（P<0.05）. The analysis of similarities （ANOSIM） showed that the difference of β diversity between the two groups was significant（P<0.05）. ⑤ Linear discriminant analysis Effect Size（LEfSe） results demonstrated that Klebsiella，Megasphaera and Aeromonadales could be selected as the key biomarkers for DHTS syndrome； 14 bacteria such as Ruminiclostridium，Burkholderiaceae，Lautropia，Butyrivibrio，Erysipelotrichales can be selected as the key biomarkers for QYD syndrome. ⑥Functional annotation and analysis showed that the DHTS syndrome involved 9 metabolic pathways，including arginine and proline metabolism，lipopolysaccharide biosynthesis，nicotinic acid and nicotinamide metabolism，while the QYD syndrome involved 10 metabolic pathways，including acarbose and valinomycin biosynthesis，glucagon signaling pathway and NOD-like receptor signaling pathway. ConclusionThere are obvious differences in intestinal flora and functions in T2DM patients of DHTS syndrome and QYD syndrome，which can be used as reference for traditional Chinese medicine （TCM） syndrome differentiation and the target of TCM treatment.

The progression of hyperuricemia disease is often accompanied by damage to renal function. However, there are few studies on hyperuricemia nephropathy, especially its association with intestinal flora. This study combines metabolomics and gut microbiota diversity analysis to explore metabolic changes using a rat model as well as the changes in intestinal flora composition. The results showed that amino acid metabolism was disturbed with serine, glutamate and glutamine being downregulated whilst glycine, hydroxyproline and alanine being upregulated. The combined glycine, serine and glutamate could predict hyperuricemia nephropathy with an area under the curve of 1.00. Imbalanced intestinal flora was also observed. , , , , and other conditional pathogens increased significantly in the model group, while and , the short-chain fatty acid producing bacteria, declined greatly. At phylum, family and genus levels, disordered nitrogen circulation in gut microbiota was detected. In the model group, the uric acid decomposition pathway was enhanced with reinforced urea liver-intestine circulation. The results implied that the intestinal flora play a vital role in the pathogenesis of hyperuricemia nephropathy. Hence, modulation of gut microbiota or targeting at metabolic enzymes, , urease, could assist the treatment and prevention of this disease.

Objective The aim of this research is to identify and compare the adjustment levels in patients with temporary and permanent colostomy, and to provide evidence to improve nursing performance. Methods In the First, Second, and Third Affiliated Hospital of Kunming Medical University, 52 patients with colorectal stoma participated in the research and completed the questionnaire of OAS (Ostomy Adjustment Scale) and demographic data. The data were established using Epidata 3.1, then analyzed with SPSS 17.0. The results were described using frequency, mean, stand deviations, and p values.Results Patients with permanent colostomy gained higher scores in OAS scores and psychological adaptation. Patients with temporary colostomy had higher scores in physical adaptation and social adaptation. Conclusion The nursing staff will promote the quality of life for this population from multiple perspectives in the future.

Objective To explore the effect of the combination of Tuina and treadmill training on denervation skeletal muscle atrophy. Methods A total of 80 Sprague-Dawley rats (one month old) were randomly divided into control group (n=40) and manipulation group (n=40). Their sciatic nerves were transected, and the manipulative group accepted treadmill training and kneading of Tuina, while the control group accepted no intervention. Their muscle wet weight ratio, muscle satellite cells and insulin-like growth factor I (IGF-I) positive cells count were measured, and HE staining of gastrocnemius muscle were observed one, two, three and four months after intervention, ten rats in each group. Results Compared with the control group, the muscle wet weight ratio decreased three months after intervention (F=4.590, P<0.05), muscle satellite cells increased three months after intervention (F=12.466, P<0.01), and IGF-I positive cells increased two, three and four months after intervention (F>6.489, P<0.05). HE staining showed the skeletal muscle injury relieved somehow.Conclusion The combination of Tuina and treadmill training can relieve denervation skeletal muscle injury, but it is not enough for skeletal muscle atrophy, which may associate with promoting the expression of muscle satellite cells and IGF-I.

Objective To explore the effect of the combination of Tuina and treadmill training on nerve regeneration after sciatic nerve transection.Methods A total of 60 Sprague-Dawley rats were randomly divided into control group,model group and treatment group equal-ly.The sciatic nerve was transected in the latter two groups and the epineurium suture was delayed four days.Then the treatment group ac-cepted Tuina and treadmill training once a day.The motor conduction velocity(MCV)of sciatic nerve was measured one and two months af-ter intervention in ten rats respectively,while the number of regenerated axons and Schwann cells was counted,and structures of sciatic nev-er were observed under electron microscopy. Results Compared with the model group, the MCV accelerated in the treatment group (P<0.05),the number of axons was not significantly different(P>0.05),and the number of Schwann cells increased two months after modeling (P<0.05),with less injury under electron microscopy.Conclusion Tuina combined with treadmill training can promote the regeneration of the injured peripheral nerve.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by high heritability. Recently, autism, the most profound form of ASD, has been increasingly attributed to synaptic abnormalities. Postsynaptic density 95 (PSD95), encoding PSD protein-95, was found essential for synaptic formation, maturation and plasticity at a PSD of excitatory synapse. It is possibly a crucial candidate gene for the pathogenesis of ASD. To identify the relationship between the rs13331 of PSD95 gene and ASD, we performed a case-control study in 212 patients and 636 controls in a Chinese population by using a polymerase chain reaction-restriction fragment length polymerase (PCR-RFLP) assay. The results showed that in genetic analysis of the heterozygous model, an association between the T allele of the rs13331 and ASD was found in the dominant model (OR=1.709, 95% CI 1.227-2.382, P=0.002) and the additive model (OR=1.409, 95% CI=1.104-1.800, P=0.006). Our data indicate that the genetic mutation C>T at the rs13331 in the PSD95 gene is strikingly associated with an increased risk of ASD.
Aged ; Autism Spectrum Disorder ; genetics ; Case-Control Studies ; Child ; Child, Preschool ; China ; Disks Large Homolog 4 Protein ; Female ; Humans ; Intracellular Signaling Peptides and Proteins ; genetics ; Male ; Membrane Proteins ; genetics ; Middle Aged ; Polymorphism, Restriction Fragment Length ; Polymorphism, Single Nucleotide