BACKGROUND: Diabetic foot is a complex condition with high incidence, recurrence, mortality, and disability rates. Current treatments for diabetic foot ulcers are often insufficient. This study was conducted to identify potential therapeutic targets for diabetic foot. METHODS: Datasets related to diabetic foot and diabetic skin were retrieved from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using R software. Enrichment analysis was conducted to screen for critical gene functions and pathways. A protein interaction network was constructed to identify node genes corresponding to key proteins. The DEGs and node genes were overlapped to pinpoint target genes. Plasma and chronic ulcer samples from diabetic and non-diabetic individuals were collected. Western blotting, immunohistochemistry, and enzyme-linked immunosorbent assays were performed to verify the S100 calcium binding protein A9 (S100A9), inflammatory cytokine, and related pathway protein levels. Hematoxylin and eosin staining was used to measure epidermal layer thickness. RESULTS: In total, 283 common DEGs and 42 node genes in diabetic foot ulcers were identified. Forty-three genes were differentially expressed in the skin of diabetic and non-diabetic individuals. The overlapping of the most significant DEGs and node genes led to the identification of S100A9 as a target gene. The S100A9 level was significantly higher in diabetic than in non-diabetic plasma (178.40 ± 44.65 ng/mL vs. 40.84 ± 18.86 ng/mL) and in chronic ulcers, and the wound healing time correlated positively with the plasma S100A9 level. The levels of inflammatory cytokines (tumor necrosis factor-α, interleukin [IL]-1, and IL-6) and related pathway proteins (phospho-extracellular signal regulated kinase [ERK], phospho-p38, phospho-p65, and p-protein kinase B [Akt]) were also elevated. The epidermal layer was notably thinner in chronic diabetic ulcers than in non-diabetic skin (24.17 ± 25.60 μm vs. 412.00 ± 181.60 μm). CONCLUSIONS S100A9 was significantly upregulated in diabetic foot and was associated with prolonged wound healing. S100A9 may impair diabetic wound healing by disrupting local inflammatory responses and skin re-epithelialization.
Calgranulin B/therapeutic use* ; Diabetic Foot/metabolism* ; Humans ; Datasets as Topic ; Computational Biology ; Mice, Inbred C57BL ; Animals ; Mice ; Protein Interaction Maps ; Immunohistochemistry

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

BACKGROUND:Knee osteoarthritis is a common degenerative disease that significantly impacts patients'quality of life and increases the societal healthcare burden.Early and accurate diagnosis of knee osteoarthritis is crucial for the treatment and prognosis of patients.Traditional diagnostic methods are not only subjective and time-consuming but also do not guarantee consistently high accuracy.OBJECTIVE:To develop an automatic diagnostic method for knee osteoarthritis based on deep learning,utilizing deep learning networks to improve diagnostic accuracy and efficiency.METHODS:A new network model,YOLOV8-ViT,was proposed by replacing the backbone network of YOLOv8n with the Efficient-ViT network and incorporating attention mechanisms for the automatic identification and classification of X-ray images of knee osteoarthritis.The experimental dataset included 5 078 X-ray images of patients with knee osteoarthritis obtained from the Third Affiliated Hospital of Guangzhou University of Chinese Medicine.Three imaging physicians annotated the sites of knee osteoarthritis and classified them according to the Kellgren-Lawrence grading standard using Labelme software,and the results were combined.The evaluation indicators used in this study included Precision,F1 score,mean average precision(mAP),Recall,val/box_loss,val/cls_loss,and val/dfl_loss.RESULTS AND CONCLUSION:The experimental results showed that the YOLOV8-ViT model outperformed the YOLOv5n,YOLOv8n,and YOLOv9n models in terms of precision,mAP50,mAP50-95,F1 score,and Recall,while lowering val/box_loss,val/cls_loss,and val/dfl_loss by 0.496,0.45,and 0.523;1.037,0.305,and 0.728;and 0.267,0.654,and 0.854,respectively.These experimental data validate that this model has high detection accuracy.

Further evidence is needed to explore the impact of high-altitude environments on the neurologic function of neonates.Non-invasive techniques such as cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography can provide data on cerebral oxygenation and brain electrical activity.This study will conduct multiple cerebral near-infrared spectroscopy and amplitude-integrated electroencephalography monitoring sessions at various time points within the first 3 days postpartum for healthy full-term neonates at different altitudes.The obtained data on cerebral oxygenation and brain electrical activity will be compared between different altitudes,and corresponding reference ranges will be established.The study involves 6 participating centers in the Chinese High Altitude Neonatal Medicine Alliance,with altitude gradients divided into 4 categories:800 m,1 900 m,2 400 m,and 3 500 m,with an anticipated sample size of 170 neonates per altitude gradient.This multicenter prospective cohort study aims to provide evidence supporting the impact of high-altitude environments on early brain function and metabolism in neonates.[Chinese Journal of Contemporary Pediatrics,2024,26(4):403-409]

Objective:To investigate the genotype,mutation type,and ethnic distribution characteristics of thalassemia in the population of Hechi area,Guangxi,and to provide a reference basis for prevention and control of thalassemia and eugenic counseling in the region.Methods:Gap-polymerase chain reaction(gap-PCR)and reverse dot blot(RDB)were used for genetic testing on suspected thalassemia persons,and the results were analyzed.Results:Among 29 136 samples,a total of 17 016(58.40％)positive samples for thalassemia genes were detected,with a higher detection rate in males than in females(X2=49.917,P＜0.001).The detection rates of thalassemia genes were significant different among Zhuang,Han,Yao,Mulao,and Maonan ethnic groups(x2=546.121,P＜0.001).The α-thalassemia genotypes were mainly--SEA/αα(16.67％),-α3.7/αα(8.90％),αCSα/αα(6.00％).Additionally,four rare genotypes were detected,including--THAI/αα(47 cases),HKαα/αα(2 cases),--SEA/-α21.9(2 cases),and--THAI/αcsα(1 case).The β-thalassemia genotypes were mainly βCD17/βN(7.49％),βCD41-42/βN(6.70％),βCD71-72/βN(0.44％).108 cases of moderate and severeβ-thalassemia were detected,of which 81 cases had a history of blood transfusion,the transfusion frequency of 60 cases was more than 10 times/year,and 10 cases received bone marrow transplantation.Conclusion:Thalassemia in Hechi area is predominantly deletion type--SEA/αα,the detection rate of thalassemia in ethnic minorities is higher than that in Han population.In this area,moderate and severe β-thalassemia have certain incidence,these patients mostly need regular blood transfusion and iron removal treatment,and very few patients have received bone marrow transplantation.This study provides a certain reference basis for prevention and control of thalassemia and eugenic counseling in the region.

Objective To explore the protective mechanism of RNA binding protein LIN28 on diabetic nephropathy(DN).Methods LIN28 was overexpressed or knocked down by adenovirus in HEK 293T cells.The gene and functional signaling pathway significantly changed after overexpression of LIN28 were obtained through RNA Seq transcriptome sequencing and bioinformatics analysis.HEK 293T cells were divided into the Control group,the Treatment group,the Adv-LIN28-OE+D-ribose group and the Adv-LIN28-NC+D-ribose group in in vitro LIN28 overexpression studies.And HEK 293T cells were divided into the Control group,the Treatment group,the Adv-shRNA LIN28+D-ribose group and the Adv-shRNA NT+D-ribose group in in vitro LIN28 knockdown studies.ELISA was used to detect the levels of human advanced glycation end products(AGEs)of cells supernatants in the above groups.Western blot was used to detect the expression levels of RAGE,NF-κB and MMP-2 of cells in the above groups.Results The results of RNA-Seq transcriptome sequencing,GO analysis and KEGG analysis showed that overexpression of LIN28 resulted in a significant down-regulation of AGE-RAGE signaling pathway in HEK 293T cells(P<0.05).The results of ELISA showed that compared with the Control group,the cell in the Treatment group produced a large amount of AGEs(P<0.05);compared with the Treatment group,the AGEs level of cells in the Adv-LIN28-OE+D-ribose group was significantly decreased(P<0.05),while the AGEs level of cells in the Adv-shRNA LIN28+D-ribose group was increased(P>0.05).The results of Western blot showed that compared with the Control group,the expression levels of RAGE,NF-κB and MMP-2 of cells in the Treatment group were significantly increased(P<0.05);compared with the Treatment group,the expression levels of RAGE,NF-κB and MMP-2 of cells in the Adv-LIN28-OE+D-ribose group were significantly decreased(P<0.05),while the expression levels of RAGE,NF-κB and MMP-2 of cells in the Adv-shRNA LIN28+D-ribose group were significantly increased(P>0.05).Conclusion Overexpression of LIN28 by adenovirus at the cellular level in vitro can lead to significant differential expression of thousands of genes.In particular,it can inhibit the diabetes and complications-related AGE-RAGE signaling pathway,which is critical in the progression of DN disease,and play a role in protecting DN.

OBJECTIVE: To investigate the gene mutation and genotype distribution of thalassemia in the population of childbearing age in Chongzuo area of Guangxi. METHODS: Six α-thalassemia and 17 β-thalassemia gene mutations common in Chinese were detected by gap-polymerase chain reaction (gap-PCR) combined with agarose gel eletrophoresis and reserve dot bolt hybridization in 29 266 cases of child-bearing age suspected of thalassemia. RESULTS: A total of 19 128 (65.36%) cases were identified with thalassemia. The detection rate of α-thalassemia, β-thalassemia and α-combining β-thalassemia was 45.25% (13 242/29 266), 15.47% (4 526/29 266) and 4.65% (1 360/29 266), respectively. A total carrying rate of 8 kinds of α-thalassemia gene mutations was 26.74% (15 649/58 532), including 12.51% for --^SEA, followed by 5.70% for -α^3.7, and 0.24% for --^Thai. Among 32 α-thalassemia genotypes, the most common five were --^SEA/αα, -α^3.7/αα, α^CSα/αα, -α^4.2/αα and α^WSα/αα, accounting for 47.27%, 18.31%, 8.56%, 8.52% and 7.91%, respectively, as well as 0.97% for --^Thai/αα. A total carrying rate of 13 kinds of β-thalassemia gene mutations was 10.07% (5 897/58 532), including 3.63% for CD41-42, followed by 2.55% for CD17, and 0.003% for -50 (G>A). Among 17 β-thalassemia genotypes, the most common six were CD41-42/N, CD17/N, CD71-72/N, CD26/N, 28/N and IVSI-1/N, accounting for 36.15%, 25.81%, 9.43%, 8.18%, 8.09% and 7.75%. The homozygous genotype CD26/CD26 [hemoglobin (Hb): 121 g/L] and -28/-28 (Hb: 56 g/L) were respectively detected in one case, and double heterozygous genotype were detected in 5 cases, including 3 cases of CD41-42/CD26 (Hb: 41 g/L, 51 g/L, 63 g/L, respectively), 1 case of -28/IVSI-1 (Hb: 53 g/L), and 1 case of CD71-72/CD26 (Hb: 89 g/L), in which patients with moderate or severe anemia had a history of blood transfusion. Among 104 α-combining β-thalassemia genotypes, the most common were --^SEA/αα, -α^3.7/αα combining CD41-42/N and --^SEA/αα combining CD17/N, accounting for 12.13%, 9.63% and 9.26%, respectively. In addition, 1 case of --^SEA/-α^3.7 combining -28/IVSI-1 (Hb: 83 g/L) and 1 case of -α^3.7/αα combining CD41-42/ CD41-42 (Hb: 110 g/L) were detected without history of blood transfusion, while 1 case of α^WSα/αα combining CD41-42/CD17 (Hb: 79 g/L) and 1 case of --^SEA/αα combining CD17/-28 (Hb: 46 g/L) were detected with history. CONCLUSIONS The detection rate of thalassemia genes is high and the mutations are diverse in the population of childbearing age in Chongzuo area of Guangxi. The common deletion genotype is --^SEA/αα in α-thalassemia and CD41-42/N in β-thalassemia, and deletion genotype --^Thai is not rare. There is a certain incidence of intermediate and severe β-thalassemia, and most patients require transfusion therapy. The results are beneficial for genetic consultation and intervention of thalassemia.
Humans ; beta-Thalassemia/genetics* ; alpha-Thalassemia/genetics* ; Dipeptidyl Peptidase 4/genetics* ; China/epidemiology* ; Genotype ; Mutation