The genome tagging project (GTP) plays a pivotal role in addressing a critical gap in the understanding of protein functions. Within this framework, we successfully generated a human influenza hemagglutinin-tagged sperm-specific protein 411 (HA-tagged Ssp411) mouse model. This model is instrumental in probing the expression and function of Ssp411. Our research revealed that Ssp411 is expressed in the round spermatids, elongating spermatids, elongated spermatids, and epididymal spermatozoa. The comprehensive examination of the distribution of Ssp411 in these germ cells offers new perspectives on its involvement in spermiogenesis. Nevertheless, rigorous further inquiry is imperative to elucidate the precise mechanistic underpinnings of these functions. Ssp411 is not detectable in metaphase II (MII) oocytes, zygotes, or 2-cell stage embryos, highlighting its intricate role in early embryonic development. These findings not only advance our understanding of the role of Ssp411 in reproductive physiology but also significantly contribute to the overarching goals of the GTP, fostering groundbreaking advancements in the fields of spermiogenesis and reproductive biology.
Animals ; Female ; Humans ; Male ; Mice ; Spermatids/metabolism* ; Spermatogenesis/physiology* ; Spermatozoa/metabolism* ; Thioredoxins/genetics*

Objective To explore the abnormal expression of the MT-ND family in pan-cancers and its prognostic value.Methods Transcriptome expression and clinical data of 33 cancers were downloaded from the TCGA database,thereby analyzing the expression differences of the MT-ND family in tissuesof different types of cancers and normal tissues.The prognostic role of the MT-ND family in pan-cancers was explored by univariate Cox regression analysis and Kaplan-Meier survival analysis.Results The expression of the MT-ND family was upregulated in the kidney chromophobe,acute myeloid leukemia and thymoma,and downregulated in the remaining tumors.The expression of the MT-ND family was associated with the overall survival rate of different types of cancers.In addition,the MT-ND family were significantly correlated with the immune invasion subtypes,and were correlated with stromal cell invasion and tumor cell stemness to varying degrees.The expression of MT-ND4 was downregulated in brain lower grade glioma,which was a protective factor for prognosis;while the expression of MT-ND4 in thymoma was upregulated,which was a risk factor for prognosis.Conclusion Pan-cancer analysis has confirmed that the MT-ND family can predict the tumor prognosis,which provides new ideas and strategies for the precision treatment and prognostic management of cancer.

Objective To explore the abnormal expression of the MT-ND family in pan-cancers and its prognostic value.Methods Transcriptome expression and clinical data of 33 cancers were downloaded from the TCGA database,thereby analyzing the expression differences of the MT-ND family in tissuesof different types of cancers and normal tissues.The prognostic role of the MT-ND family in pan-cancers was explored by univariate Cox regression analysis and Kaplan-Meier survival analysis.Results The expression of the MT-ND family was upregulated in the kidney chromophobe,acute myeloid leukemia and thymoma,and downregulated in the remaining tumors.The expression of the MT-ND family was associated with the overall survival rate of different types of cancers.In addition,the MT-ND family were significantly correlated with the immune invasion subtypes,and were correlated with stromal cell invasion and tumor cell stemness to varying degrees.The expression of MT-ND4 was downregulated in brain lower grade glioma,which was a protective factor for prognosis;while the expression of MT-ND4 in thymoma was upregulated,which was a risk factor for prognosis.Conclusion Pan-cancer analysis has confirmed that the MT-ND family can predict the tumor prognosis,which provides new ideas and strategies for the precision treatment and prognostic management of cancer.

Objective To screen genes associated with poor prognosis of colorectal cancer(CRC)through bioinformatics analysis.Methods The gene expression profiles of GSE74602,GSE110223,GSE113513 and GSE141174 were obtained from Gene Expression Omnibus(GEO)database,including samples from 65 CRC tissues and 65 normal tissues.Differentially expressed genes(DEGs)between CRC tissues and normal tissues were screened out by GEO2R tool and Venn software,and the consistent genes were extracted from DEGs by Venn software.A protein-protein interaction(PPI)network was constructed by the STRING database to identify key genes,which were analyzed by Kaplan-Meier Plotter and GEPIA.Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis was conducted on the 13 selected genes.Results There were 171 DEGs obtained from the four datasets,including 148 up-regulated genes and 23 down-regulated genes.Up-regulated DEGs were enriched in the redox processes,bicarbonate transport,digestion,ion trans-membrane transport,and one-carbon metabolism;and down-regulated DEGs were enriched in the positive regulation of cell proliferation.The survival curve analysis showed that 30 of the 87 genes were significantly associated with poor survival prognosis.GEPIA showed that 13 of the 30 genes were highly expressed in CRC tissues compared to normal tissues,among which MYC and FGFR3 markedly enriched in the CRC pathway.Conclusion This study identifies that MYC and FGFR3 are significantly up-regulated in CRC and closely associated with poor prognosis,suggesting that they may serve as potential prognostic markers and therapeutic targets for CRC patients.

Objective To screen genes associated with poor prognosis of colorectal cancer(CRC)through bioinformatics analysis.Methods The gene expression profiles of GSE74602,GSE110223,GSE113513 and GSE141174 were obtained from Gene Expression Omnibus(GEO)database,including samples from 65 CRC tissues and 65 normal tissues.Differentially expressed genes(DEGs)between CRC tissues and normal tissues were screened out by GEO2R tool and Venn software,and the consistent genes were extracted from DEGs by Venn software.A protein-protein interaction(PPI)network was constructed by the STRING database to identify key genes,which were analyzed by Kaplan-Meier Plotter and GEPIA.Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis was conducted on the 13 selected genes.Results There were 171 DEGs obtained from the four datasets,including 148 up-regulated genes and 23 down-regulated genes.Up-regulated DEGs were enriched in the redox processes,bicarbonate transport,digestion,ion trans-membrane transport,and one-carbon metabolism;and down-regulated DEGs were enriched in the positive regulation of cell proliferation.The survival curve analysis showed that 30 of the 87 genes were significantly associated with poor survival prognosis.GEPIA showed that 13 of the 30 genes were highly expressed in CRC tissues compared to normal tissues,among which MYC and FGFR3 markedly enriched in the CRC pathway.Conclusion This study identifies that MYC and FGFR3 are significantly up-regulated in CRC and closely associated with poor prognosis,suggesting that they may serve as potential prognostic markers and therapeutic targets for CRC patients.

Glioma is the most common malignancy of the central nervous system, originating mainly from glial cells. Because of its highly aggressive nature, glioma has one of the highest rates of death among all types of cancer. Therefore, it is very important to develop new therapeutic approaches and drugs for glioma treatment. Instead of activate the telomerase, approximately 30% of glioma use alternative lenthening of telomere (ALT) to maintain telomere length. The mechanism of ALT development is poorly understood, however, some genetic mutations have been reported to induce the development of ALT glioma, such as ATRX, IDH1, p53, etc. The lack of ALT glioma cell lines and preclinical ALT glioma models has limited the mechanistic studies of ALT glioma. Therefore, this review listed ALT glioma cell lines that derived from primary culture or gene editing in the last decade, as well as the xenografted animal models established by ALT glioma cell lines, and discussed the role and significance these cell and animal models play in preclinical studies.

We explored the correlations between the color difference values [ΔL~*(lightness), Δa~*(red-green), Δb~*(yellow-blue)] and the content of four active components(including sesquiterpenoids and polyacetylenes) in the powder of Atractylodes lancea and A. chinensis, aiming to provide reference for the quality evaluation of Atractylodis Rhizoma and establish a qualitative model that can distinguish between A. lancea and A. chinensis based on the chromatic values. The tristimulus values(L~*, a~*, and b~*) of 23 batches of A. lancea and A. chinensis were measured by a color difference meter. The content of atractylenolide Ⅱ, β-eudesmol, atractylodin, and atractylone in the 23 batches of samples were measured by high performance liquid chromatography(HPLC). Principal component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA) were performed to establish the qualitative models for distinguishing between A. lancea and A. chinensis. SPSS was employed to analyze the correlations between the tristimulus values and the content of the four index components. The results showed that the established PCA and PLS-DA models can divide the A. lancea and A. chinensis samples into two regions, and the tristimulus values of A. lancea and A. chinensis were positively correlated with the content of β-eudesmol and atractylodin. Therefore, the PCA and PLS-DA models can successfully identify A. lancea and A. chinensis, and the appearance color can be used to quickly predict the internal quality of Atractylodis Rhizoma. This study provides a reference for the quality evaluation of Atractylodis Rhizoma and the modern research on the color of Chinese medicinal materials.
Atractylodes ; Sesquiterpenes, Eudesmane ; Drugs, Chinese Herbal ; Rhizome ; Excipients

Diabetes is one of the most important non-communicable chronic diseases. Although a large amount of clinical evidence on the effectiveness of diabetes prevention and treatment interventions has been established, the current quality of care and results are still insufficient. Implementation Research can bridge the gap between research and practice. Implementation Research on diabetes management can clarify what is effective and what is ineffective in management, and promote the transformation of complex, multi-component interventions into medical practice faster and more effectively. This paper reviews the main research contents and application of implementation research of diabetes management at home and abroad, aiming to provide reference for related research and promote the application of implementation research in diabetes management in China.
Humans ; Self Care/methods* ; China ; Diabetes Mellitus/prevention & control*

Diabetes is one of the most important non-communicable chronic diseases. Although a large amount of clinical evidence on the effectiveness of diabetes prevention and treatment interventions has been established, the current quality of care and results are still insufficient. Implementation Research can bridge the gap between research and practice. Implementation Research on diabetes management can clarify what is effective and what is ineffective in management, and promote the transformation of complex, multi-component interventions into medical practice faster and more effectively. This paper reviews the main research contents and application of implementation research of diabetes management at home and abroad, aiming to provide reference for related research and promote the application of implementation research in diabetes management in China.
Humans ; Self Care/methods* ; China ; Diabetes Mellitus/prevention & control*

ObjectiveTo investigate the nephroprotective and anti-inflammatory effects of Fufang Shelong capsules （FFSL） in rats with membranous nephropathy （MN）， and the role of the p38 mitogen-activated protein kinase （MAPK） signaling pathway. MethodMale SD rats of SPF grade were divided into a normal group and an experimental group. The MN model was induced by tail vein injection of cationized bovine serum albumin in the experimental group. After screening， the eligible model rats were included and divided into a positive control group （tripterygium glycosides tablets） and low-， medium-， and high-dose FFSL groups （0.375， 0.75， 1.5g·kg^-1）. The rats were treated correspondingly for eight weeks， and urine protein was detected during drug intervention. Renal function and inflammation-related indicators were detected after drug intervention. The changes in 24-hour urine total protein （24 h UP）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， tumor necrosis factor-α （TNF-α）， creatinine （Cr）， blood urea nitrogen （BUN）， total protein （TP）， albumin （Alb）， and total cholesterol （TC） were detected. Flow cytometry was used to detect CD4⁺/CD8⁺ changes. Kidney tissues were collected to observe pathological changes under a light microscope and an electron microscope. The protein expression of p38 MAPK and phosphorylated p38 MAPK （p-p38 MAPK） in kidney tissues was detected by Western blot. ResultCompared with the normal group， the model group showed increased 24 h UP （P<0.01）， elevated serum Cr， BUN， TC， IL-6， IL-8， and TNF-α （P<0.05，P<0.01）， decreased serum Alb and TP levels （P<0.05，P<0.01）， increased CD4⁺/CD8⁺ in the peripheral blood （P<0.01）， and up-regulated protein expression of p38 MAPK and p-p38 MAPK in kidney tissues （P<0.05）. Additionally， in the model group， immune complex deposition and foot process fusion， accompanied by infiltration of inflammatory cells， were observed on the epithelial side of the basement membrane in the pathological kidney tissues. Compared with the model group， the groups with drug intervention showed declining 24 h UP levels at six weeks （P<0.05，P<0.01）， decreased serum Cr， BUN， TC， IL-6， IL-8， and TNF-α （P<0.05，P<0.01）， increased serum Alb and TP levels （P<0.05，P<0.01）， reduced CD4⁺/CD8⁺ in the peripheral blood （P<0.01）， improved renal pathological damage， and down-regulated p38 MAPK and p-p38 MAPK in kidney tissues （P<0.05，P<0.01）. ConclusionFFSL can decrease the expression of inflammatory factors， reduce proteinuria， delay kidney damage， and protect kidney function by inhibiting the expression of the p38 MAPK signaling pathway.