Scientific Reports最新文献

{"title":"Toxicity and enzymatic activity changes in rice weevil (Sitophilus oryzae) induced by basil (Ocimum basilicum) and cumin (Cuminum cyminum) essential oils.","authors":"Ahmed Fayez Omar, Fatma Mohamed Ameen Khalil, Maryam M Alomran, Tamer Ismail, Ahmed I El-Tokhy, Khaled Abdelaal, Fatehia N Gharsan, Reem Nasser Almozini, Ahmed M Abouelatta","doi":"10.1038/s41598-024-80329-x","DOIUrl":"https://doi.org/10.1038/s41598-024-80329-x","url":null,"abstract":"<p><p>The rice weevil Sitophilus oryzae is one of the primary insects that infest stored grains, causing both quantitative and qualitative losses. The use of synthetic pesticides to control it has led to the emergence of several problems related to human health and the environment, which has prompted the search for safer alternatives for their control. In this study, the effectiveness of two essential oils, cumin (Cuminum cyminum) and basil (Ocimum basilicum), was evaluated as insecticides for controlling the rice weevil at three different times intervals and various concentrations. (GC-MS) analysis revealed that both oils contain several key compounds, such as procanal (26.07%), ˠ- terpinene (15.78%), for C. cyminum and linalool (56.7%), cadinol, epi-α (11.4%) for O. basilicum, in addition to some secondary components. The results showed that, the lethal concentration (LC₅₀) of cumin was 49%, 45%, and 33% lower than that of basil at the 24, 48, and 72-h assessment periods, respectively demonstrating the superiority of cumin over basil. Regarding the effects on the levels of certain enzymes activity, the results indicated that both oils had a significant impact on the activity of both enzymes ALP and GOT, while there was no significant effect on (GOT), α-amylase, and acetylcholinesterase (AChE) compared to control. Based on the obtained results, it can be concluded that tested essential oils could be developed as a safe and effective alternatives for controlling rice weevil.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28684"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using machine learning to develop a stacking ensemble learning model for the CT radiomics classification of brain metastases.","authors":"Huai-Wen Zhang, Yi-Ren Wang, Bo Hu, Bo Song, Zhong-Jian Wen, Lei Su, Xiao-Man Chen, Xi Wang, Ping Zhou, Xiao-Ming Zhong, Hao-Wen Pang, You-Hua Wang","doi":"10.1038/s41598-024-80210-x","DOIUrl":"https://doi.org/10.1038/s41598-024-80210-x","url":null,"abstract":"<p><p>The objective of this study was to explore the potential of machine-learning techniques in the automatic identification and classification of brain metastases from a radiomic perspective, aiming to improve the accuracy of tumor volume assessment for radiotherapy. By using various machine-learning algorithms, including random forest, support vector machine, gradient boosting machine, XGBoost, decision tree, artificial neural network, k-nearest neighbors, LightGBM, and CatBoost algorithms, a stacking ensemble model was developed to classify gross tumor volume (GTV), brainstem, and normal brain tissue based on radiomic features. Multiple evaluation metrics, including the specificity, sensitivity, negative predictive value, positive predictive value, accuracy, Matthews correlation coefficient, and the Youden index, were used to assess the model's performance. The stacked ensemble model integrated the strengths of the nine base models and consistently outperformed individual base models in classifying GTV (area under the curve [AUC] = 0.928), brainstem (AUC = 0.932), and normal brain tissue (AUC = 0.942). Among the base models, the support vector machine model demonstrated the best performance in the three classifications (AUC = 0.922, 0.909, and 0.928). The higher performance of the stacked ensemble model highlighted the low performance of other models, including the decision tree (AUC = 0.709, 0.706, 0.804) and k-nearest neighbors (AUC = 0.721, 0.663, 0.729) models in certain contexts, such as when faced with high-dimensional feature spaces. While machine learning shows significant promise in medical image analysis, relying solely on a single model may lead to suboptimal results. By combining the strengths of various algorithms, the stacking ensemble model offers a better solution for the classification of brain metastases based on radiomic features.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28575"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assembly and analysis of the complete mitochondrial genome of Carya illinoinensis to provide insights into the conserved sequences of tRNA genes.","authors":"Yu Chen, Wu Wang, Shijie Zhang, Yuqiang Zhao, Liuchun Feng, Cancan Zhu","doi":"10.1038/s41598-024-75324-1","DOIUrl":"https://doi.org/10.1038/s41598-024-75324-1","url":null,"abstract":"<p><p>Carya illinoinensis is an economically important nut tree, and its chloroplast (cp.) genome has been reported; however, its mitochondrial (mt) genome remains unknown. In the present study, we assembled the first mt genome of C. illinoinensis. The circular mt genome of C. illinoinensis is 495,205 bp long, with 37 protein-coding genes(PCGs), 24 tRNA genes, and 3 rRNA genes. All the tRNAs could be folded into typical cloverleaf secondary structures, with lengths of 58-88 bp. A conserved U-U-C-x-A-x2 consensus nucleotide sequence was discovered in the Ψ-loops of tRNA sequences. In addition, 447 dispersed repeats were detected, as well as found 482 RNA editing sites and 9,960 codons in the mt genome. Furthermore, a total of 27 DNA sequences with a length of 43,277 bp were transferred from the cp. to the mt genome, and eight integrated cp-derived genes (trnL-CAA, trnV-GAC, trnD-GUC, trnW-CCA, trnN-GUU, trnH-GUG, trnM-CAU, and rps7) were identified. We also obtained 1,086 hits, including 364.023 kp of nuclear genome sequences, that were transferred to the mt genome. To determine the evolutionary position of C. illinoinensis, we conducted a phylogenetic analysis of the mitogenomes of C. illinoinensis and 14 other taxa. The results strongly suggested that C. illinoinensis and Fagus sylvatica formed a single clade with 100% bootstrap support. This study sequenced comprehensive data on the C. illinoinensis mitochondrial genome and provided insights into the conserved sequences of tRNA genes, which could facilitate evolutionary research in other Carya trees in the future.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28571"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a new anthropometric equation to predict skeletal muscle mass in a heterogeneous caucasian population.","authors":"Daniel Rojano-Ortega, Heliodoro Moya-Amaya, Antonio Molina-López, Antonio Jesús Berral-Aguilar, Francisco José Berral-de la Rosa","doi":"10.1038/s41598-024-77965-8","DOIUrl":"https://doi.org/10.1038/s41598-024-77965-8","url":null,"abstract":"<p><p>Assessment of skeletal muscle mass (SMM) is essential to monitor physical performance and health status. The most widely used anthropometric equations have repeatedly demonstrated to overestimate or underestimate SMM in different populations. Herein, we developed and cross-validated a new anthropometric regression equation for estimating SMM, using dual-energy X-ray absorptiometry (DXA) as the reference method. A group of 206 healthy Caucasian participants aged 18-65 years were included in the final analysis. Participants underwent a DXA scan, and body mass, stature, four skinfolds (biceps, triceps, subscapular, and supracrestal) and four breadths (femoral, humeral, ankle, and wrist) were assessed by an accredited anthropometrist. Accuracy was assessed by mean differences, coefficient of determination, standard error of the estimate (SEE), concordance correlation coefficient (CCC), and Bland-Altman plots. The proposed equation explained 91.3% of the variance in the DXA-derived SMM percentage, with a low random error (SEE = 1.95%), and a very strong agreement (CCC = 0.94). In addition, it demonstrated no fixed or proportional bias and a relatively low individual variability (3.84%). The new anthropometric equation can accurately predict SMM percentage in a Caucasian population with a wide age range (18-65 years).</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28646"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On physical analysis of topological indices and entropy measures for porphyrazine structure using logarithmic regression model.","authors":"Asms Khalid, Shoaib Iqbal, Muhammad Kamran Siddiqui, Tariq Javed Zia, Brima Gegbe","doi":"10.1038/s41598-024-78045-7","DOIUrl":"https://doi.org/10.1038/s41598-024-78045-7","url":null,"abstract":"<p><p>The porphyrazine structure, known for its high chemical and thermal stability, has become a significant focus in materials science, chemical reactivity, functionalization, and drug design. By utilizing the new Zagreb-type indices to analyze the chemical structure of porphyrazine, we can gather more information about their bonding and connecting patterns. This enables us to construct an entropy measure that helps evaluate the stability of the material and predict its behavior in different scenarios. Furthermore, establishing correlations between these indices and entropy using logarithmic regression models allows for a deeper understanding of complex properties of porphyrazine. This, in turn, opens up new possibilities for the compound's potential applications across various scientific and technical fields. In our work, we have used the M-polynomial to derive molecular descriptors for degree-based topological indices and determine the entropy of the porphyrazine structure based on these descriptors.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28669"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tracing embodied CO₂ emissions and drivers in China's financial industry under inter-provincial trade.","authors":"Donghua Xiao, Wenhui Guo, Xincong Liu, Yi Zheng, Hao Gong, Chuan Wang","doi":"10.1038/s41598-024-79833-x","DOIUrl":"https://doi.org/10.1038/s41598-024-79833-x","url":null,"abstract":"<p><p>With the establishment of \"Dual Carbon\" targets and industrial restructuring in China, the transition from the secondary industry to the tertiary industry has facilitated the rapid development of the financial sector. However, the significant CO₂ emissions embodied within inter-provincial trade result in carbon leakage, posing challenges in assigning equitable carbon reduction responsibilities to the financial sectors across the 31 provinces of China. This study establishes a framework for evaluating CO₂ emissions of financial sectors through 134 samples of 60 listed financial enterprises in the 31 provinces, tracking the embodied CO₂ emissions within inter-provincial trade by using a multiregional input-output approach. The results reveal that the total CO₂ emissions of the financial sector in China surged from 4.591 to 12.423 Tg CO₂-eq between 2012 and 2020. The regions with the highest annual net CO₂ emissions are Anhui (0.244 Tg), Zhejiang (0.242 Tg), and Henan (0.211 Tg). The key factors influencing net CO₂ emissions are in the following order of importance: net CO₂ density, per capita added value of service industry, the proportion of finances in service industries, and population size. Based on the findings, this study provides policy implications: reducing net carbon intensity, enacting tailored carbon tax policies based on embodied CO₂ emissions, and fostering interdepartmental collaboration to address the impact of carbon leakage.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28668"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of a novel hybrid sterility locus S67 between temperate japonica subgroup and basmati subgroup in Oryza sativa L.","authors":"Yonggang Lv, Jing Li, Ying Yang, Qiuhong Pu, Jiawu Zhou, Xianneng Deng, Yu Zhang, Dayun Tao","doi":"10.1038/s41598-024-80011-2","DOIUrl":"https://doi.org/10.1038/s41598-024-80011-2","url":null,"abstract":"<p><p>Asian cultivated rice (Oryza sativa L.) is the most important cultivated species in the AA genome species of the genus Oryza. basmati is a special and famous subgroup in Asian cultivated rice, and temperate japonica is one of the most important cultivated subgroup, too. However, hybrid sterility hinders the introgression of favorable traits and the utilization of hybrid vigour between the two subgroups. The genetic basis of intraspecific hybrid sterility between temperate japonica and basmati remained elusive. In this study, a novel hybrid sterility locus S67 was identified, which caused hybrid male sterility in hybrids between the temperate japonica rice variety Dianjingyou 1 (DJY1) and the basmati rice variety Dom-sufid. Initial mapping with BC₁F₁, BC₄F₁, BC₄F₂ populations and DNA markers located S67 between RM5362 and K1-40.6 on the long arm of chromosome 1. Genetic analysis confirmed that S67 caused a transmission advantage for the temperate japonica rice S67-te allele in the hybrid offsprings. This result not only fills the gap in the research on hybrid sterility between basmati and temperate japonica, but also lays a good foundation for the systematic study of the genetic nature of hybrid sterility between basmati and other subgroups, as well as the full exploration and utilization of this subgroup through the creation of wide or specific compatibility lines to overcome hybrid sterility. In addition, this result can also help us broaden our understanding of genetic differentiation within Asian cultivated rice and hybrid sterility between inter-subgroups.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28619"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surveillance and mapping of tribenuron-methyl-resistant weeds in wheat fields.","authors":"Behrouz Khalil Tahmasebi, Eskandar Zand, Alireza Yousefi, Sirwan Babaei, Amir Sadeghpour","doi":"10.1038/s41598-024-75308-1","DOIUrl":"https://doi.org/10.1038/s41598-024-75308-1","url":null,"abstract":"<p><p>Tribenuron-methyl (TBM) is among the herbicides that are widely used for controlling broadleaf weeds in wheat fields in Iran due to its low mammalian toxicity and environmental risk, use at low doses, the broad spectrum of weed control, and low price compared to other herbicides. However, wheat farmers' repeated application and dissatisfaction with the optimal and effective control of the TBM herbicide have led to investigating broadleaf weed resistance in Iranian wheat fields. For this purpose, through a national call in 2018, a total of 240 broadleaf weed populations belonging to 13 species and 7 plant families were collected from 153 wheat fields in 72 counties across 14 provinces suspected to be resistant to the TBM herbicide. Then, a screening test was conducted in a completely randomized design with 5 replications of each biotype using the recommended dose of 25 g a.i. ha^- 1 of TBM in the greenhouse. Overall, the results indicated that 124 (51.7%) of the screened populations were resisted to TBM. Specifically, 44 populations (81%) of Sinapis arvensis L., 18 populations (45%) of Malva neglecta Wallr., 25 populations (45%) of Silybum marianum (L.) Gaertn, 2 populations (66.6%) of Ammi majus L., 1 population (50%) of Rapistrum rugosum L., 3 populations (21%) of Descurainia Sophia (L.) Webb ex Prantl, 9 populations (36%) of Vaccaria hispanica Mill., 8 populations (48%) of Galium aparine L., 9 populations (75%) of Melilotus indicus L. According to the Adkins and Maas evaluation, 4 populations (100%) of Raphanus raphanistrum L. were classified as resistant to TBM. This study is the first comprehensive investigation of broadleaf weed resistance to TBM across Iranian wheat fields, providing crucial insights for future herbicide management strategies. Given the high incidence of resistance, continued use of TBM in Iranian wheat fields may lead to increased yield loss and environmental pollution. Additionally, it is necessary to investigate cross-resistance in resistant populations to other ALS-inhibiting herbicides.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28626"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Therapeutic and antioxidant properties of Acridocarpus monodii Arène & Jaeger, an endemic plant of Dogon Country in Mali.","authors":"Mamadou A Konaré, Joudy Dougnon, Issiaka Togola, Nah Traoré, Nouhoum Diarra, Moussa Karembé","doi":"10.1038/s41598-024-78405-3","DOIUrl":"https://doi.org/10.1038/s41598-024-78405-3","url":null,"abstract":"<p><p>Acridocarpus monodii Arène & Jaeger is an endemic plant species to the ''Dogon Country'' in Mali. This species is highly popular in Dogon ethnic groups, but no scientific data on its medicinal and biochemical properties are available in Mali. This work aimed to list its medicinal uses and assess its phytochemical composition and antioxidant power. An ethnobotanical investigation based on semi structured questionnaire was used to identify the traditional uses of A. monodii among the local population in three villages (Ireli, Youdiou and Yon-biré) inside ''Dogon country'' in Mali. The phytochemical composition was determined using qualitative tests, while the antioxidant potency was performed using 2,2-diphenyl-1-picryhydazyl (DPPH) and phosphomolybdate (TAC) tests. A total of 45 people were interviewed, the majority of whom were male (82.20%) and over 52 years of age. A. monodii is used to treat a dozen pathologies or diseases, dominated by malaria (71.10%), yellow fever (24.40%) and dysuria (20%). Although, all parts of this species are used to treat these pathologies, leaves (88.90%) were the most coveted followed by roots (37.80%). The use of these parts was significantly (p = 0.016 < 0.05) associated with the educational levels of the respondents (77.70%), who coveted primarily roots and barks, and thus constituted a threat to the species. These medicinal recipes derived from these organs were mostly prepared as decoctions, before being administered by oral (100%) or bath (82.20%) routes. Extracts of A. monodii were found to contain various biocompounds, especially a high quantity of flavonoids and polyphenols and demonstrated increased in vitro antioxidant inhibitory effects. The decoction extracts showed the highest content of phenolic compounds (109.82 ± 2.36 mg GAE/g). The strongest activity for the DPPH free radical scavenging were recorded by the decoction with IC₅₀ = 107.41 ± 4.25 µg/mL and the hydroethanolic macerate with 107.31 ± 9.28 µg/mL. But, based on the results from of TAC test, the antioxidant capacity was higher for the hydroethanolic macerate 42.85 ± 2.59 mg EQ/g than those of the decoction 19.27 ± 0.93 mg EQ/g. This is the first scientific report on the therapeutic use of A. monodii within ''Dogon country'' in Mali. This work highlights its medicinal, phytochemical and biochemical properties and therefore contributes to its improved valorization. These results demonstrated that A. monodii is a promising species for the discovery of novel medicines.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28656"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tissue factor pathway inhibitor 2 (TFPI2) is a potential serum biomarker for clear cell renal carcinoma.","authors":"Hiroki Ito, Ryosuke Jikuya, Shohei Myoba, Tomoyuki Tatenuma, Go Noguchi, Daiki Ueno, Yusuke Ito, Mitsuru Komeya, Kentaro Muraoka, Masahiro Yao, Hisashi Hasumi, Noboru Nakaigawa, Kazuhide Makiyama","doi":"10.1038/s41598-024-80248-x","DOIUrl":"https://doi.org/10.1038/s41598-024-80248-x","url":null,"abstract":"<p><p>Renal and ovarian clear cell carcinoma (CCC) are both characterized by a clear cytoplasm and exhibit similar genomic alterations and clinical characteristics. We hypothesized that both CCCs may share clinical biomarker. Tissue factor pathway inhibitor 2 (TFPI2), a serine protease inhibitor, has emerged as a promising serum biomarker for ovarian CCC, and we evaluated the efficacy of TFPI2 as a biomarker for renal cell carcinoma (RCC). Serum samples were collected from patients with RCC and healthy volunteers, and TFPI2 levels were measured. Expression of TFPI2 in each cell type was evaluated using single-cell RNA sequencing. Survival analyses according to TFPI2 expression levels were performed based on publicly available databases. Serum TFPI2 was significantly elevated in patients with RCC compared to healthy volunteers, particularly those with clear cell histology. Metastatic RCC tumors exhibited higher TFPI2 than localized RCCs. Moreover, higher TFPI2 correlated with higher Fuhrman grades in clear cell RCC. Publicly available databases showed an association between TFPI2 expression and overall survival, particularly in clear cell RCC. Single-cell RNA sequencing confirmed TFPI2 expression in clear cell RCC and normal kidney tubular epithelial cells. TFPI2 has emerged as a potential serum biomarker for RCC, offering avenues for improved detection and prognostication.</p>","PeriodicalId":21811,"journal":{"name":"Scientific Reports","volume":"14 1","pages":"28639"},"PeriodicalIF":3.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}