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To investigate the effects of different moisture contents on the storability of lightly salted large yellow croaker at 4 ℃, changes in total volatile basic nitrogen (TVB-N) content, microbial community composition, taste and volatile organic compounds were analyzed during the storage period, and the correlation between microbial community composition and VOCs was examined. The results showed that the shelf-life of lightly salted large yellow croaker with moisture contents of 60%, 55%, and 50% was 27, 33, and 39 days, respectively. During storage, there were significant changes in the bacterial flora, with four specific spoilage organisms (SSOs) being dominant at the end of the shelf-life. In the samples with 60% moisture content, Hafnia alvei (61.22%) and Brochothrix thermosphacta (19.39%) were dominant. In the samples with 55% moisture content, H. alvei (31.13%), B. thermosphacta (29.25%), Carnobacterium divergens (17.92%) and Citrobacter freundii (16.98%) were dominant. C. freundii was not observed at the end of the shelf-life of lightly salted large yellow croaker with 50% moisture content, and H. alvei (43.96%) and B. thermosphacta (37.36%) were dominant, respectively.The electronic tongue results showed that the trend of response values was basically the same among the three groups of samples. A total of 29 VOCs were detected by gas chromatography-ion mobility spectrometry (GC-IMS), including seven alcohols, six esters, four ketones, four aldehydes, three amines, two heterocycles, one olefin, one ether and one terpene. The fingerprinting results showed no significant difference in the composition of VOCs among the groups. Pearson’s correlation analysis showed that H. alvei and B. thermosphacta were positively correlated with amines for all groups.

Colorectal cancer (CRC) ranks the 3rd in cancer types globally. Long noncoding RNAs (lncRNAs) are related to the initiation and progression of CRC. The current study plans to reveal the action of rhabdomyosarcoma 2-associated transcript (RMST) in CRC. The results show that RMST is downregulated in CRC specimens and cell lines relative to normal specimens and a fetal normal colon cell line (FHC), respectively. Elevation of RMST represses cell proliferation and colony formation and induces cell apoptosis in CRC cells. Bioinformatic analysis reveals a binding site in RMST for miR-27a-3p. The direct association between RMST and miR-27a-3p is confirmed by dual luciferase reporter assay, RNA pull-down assay, and real time-quantitative polymerase chain reaction (RT-qPCR). miR-27a-3p is upregulated in CRC tumor specimens relative to normal specimens, and there is a negative correlation between RMST and miR-27a-3p in CRC tumor specimens. In addition, the effects of RMST overexpression are weakened by the elevation of miR-27a-3p. RMST and retinoid X receptor (RXRα) share the same complementary site with miR-27a-3p. The direct association between RXRα and miR-27a-3p is confirmed by RNA pull-down assay, RT-qPCR and western blot analysis. Overexpression of RMST induces RXRα expression and inactivates the Wnt signaling pathway by decreasing β-catenin levels in CRC cells. Collectively, our findings reveal a pivotal role of RMST in regulating miR-27a-3p/RXRα axis and counteracting Wnt signaling pathway during the progression of CRC.

Pathological scars (PS), including hypertrophic scars (HTS) and keloids, are a common complication of poor wound healing that significantly affects patients' quality of life. Currently, there are several treatment options for PS, including surgery, drug therapy, radiation therapy, and biological therapy. However, these treatments still face major challenges such as low efficacy, high side effects, and a high risk of recurrence. Therefore, the search for safer and more effective treatments is particularly urgent. New materials often have less immune rejection, good histocompatibility, and can reduce secondary damage during treatment. New technology can also reduce the side effects of traditional treatments and the recurrence rate after treatment. Furthermore, derivative products of new materials and biomaterials can improve the therapeutic effect of new technologies on PS. Therefore, new technologies and innovative materials are considered better options for enhancing PS. This review concentrates on the use of two emerging technologies, microneedle (MN) and photodynamic therapy (PDT), and two novel materials, photosensitizers and exosomes (Exos), in the treatment of PS. [ABSTRACT FROM AUTHOR]

While the delay in adjuvant chemotherapy (AC) is known to impact colon cancer outcomes, its effect on rectal cancer is less clear. This study aims to evaluate the influence of AC timing on survival in stage II and III rectal cancer. This retrospective multicenter study enrolled 1,144 patients receiving chemotherapy following resection of stage II–III rectal cancers. The effect of delayed AC on survival was assessed using multivariable Cox models with restricted cubic splines and logistic regression. Compared to patients initiating AC within four weeks postsurgery, those initiating within 5–8 weeks had a similar survival (HR=0.85, 95 % CI=0.66–1.11), whereas those initiating within 8–12 weeks (HR=1.62, 95 % CI=1.05–2.51) or beyond 12 weeks (HR=2.07, 95 % CI=1.21–3.56) had a significantly inferior survival. A delayed time to chemotherapy (>8 weeks) was associated with worse survival in patients aged ≥60 years but not in younger patients (<60 years: HR=1.36; 95 % CI=0.75–2.46, p=0.312; ≥60 years: HR=2.37; 95 % CI=1.56–3.60, p<0.001). Additionally, our exploratory analysis suggested that FOLFOX and FOLFIRI were more effective when starting within 5–8 weeks post-surgery, while CAPEOX and a single agent showed a slight advantage when starting within four weeks. Our findings advocate for initiating AC within eight weeks post-surgery in stage II–III rectal cancer, especially in older patients. Delayed treatment is linked to significantly worse survival outcomes. [ABSTRACT FROM AUTHOR]

Background: Compliance with colonoscopy among elderly individuals participating in colorectal cancer (CRC) screening programs is unsatisfactory, despite a high detection rate of bowel‐related diseases. In this study, our aim was to analyze the impact of risk factors on the trends of compliance and detection rates in colonoscopy among high‐risk individuals aged 60–74. Methods: A retrospective study was conducted on the high‐risk individuals aged 60–74 participating in the 2021 CRC screening program in Tianjin, China. Logistic regression analyses, including both univariate and multivariate analyses, were performed to explore the impact of different risk factors on colonoscopy compliance among the high‐risk individuals. Besides, the study investigated the influence of various risk factors on the detection rates of bowel‐related diseases among the high‐risk individuals who underwent colonoscopy. Results: A total of 24,064 high‐risk individuals were included, and 5478 individuals received a free colonoscopy, with an overall compliance of 22.76%. Among them, the adenoma detection rate was 55.46%. Males and individuals with a positive FIT had high compliance and detection rates for CRC, advanced adenomas (AA), advanced colorectal neoplasia (ACN), and colorectal neoplasm (CN). Individuals aged 70–74 were associated with low compliance but high CRC, ACN, and CN detection rates. Individuals who reported a history of chronic constipation, bloody mucous, and CRC in first‐degree relative showed high compliance but no significantwere associated with the detection rates of CRC, AA, and CN. Conclusion: This study reported several risk factors associated with the screening behaviors for CRC. Patterns and trends in CRC, AA, ACN, and CN compliance and detection rates correlate with risk factors. [ABSTRACT FROM AUTHOR]

Background and Aim: The incidence of colorectal cancer (CRC) in individuals under 50 is increasing worldwide. We conducted an analysis of colonoscopy findings in high‐risk individuals under 50 in the CRC screening program in Tianjin, China, to determine the detection rate and risk factors of advanced adenomas (AA), advanced colorectal neoplasia (ACN), colorectal neoplasia (CN). Methods: Our study investigated individuals aged 40–49 who underwent CRC screening and completed colonoscopy, 2012–2020, while the 50–54 age group served as a control. We compared the detection rates of AA, ACN, and CN among three age groups using univariate and multivariable logistic regression analyses, and investigated the risk factors associated with AA, ACN, and CN among individuals aged 40–49. Results: We found a gradual increase in the detection rate of AA, ACN, and CN among individuals aged 40–54. The detection rates for AA (OR 0.58; 95% CI 0.41–0.81), ACN (OR 0.58; 95% CI 0.43–0.77), and CN (OR 0.64; 95% CI 0.56–0.74) were lower in individuals aged 40–44 compared to 45–49. The detection rates of AA (OR 1.08; 95% CI 0.87–1.34) and ACN (OR 1.12; 95% CI 0.93–1.35) in individuals aged 45–49 were comparable with 50–54. Besides, lifestyle factors, BMI, and FIT are not associated with the detection rates of AA, ACN, and CN among individuals aged 40–49. Conclusions: Our study reveals screening data in individuals under 50, indicating comparable detection rates of AA and ACN in individuals aged 45–49 and 50–54. These findings provide valuable data support for optimizing the optimal age to initiate screening. [ABSTRACT FROM AUTHOR]

High-precision statistics on desertification of grassland features are an important part of grassland ecosystem research. The traditional manual survey is inefficient, and satellite remote sensing has very limited statistical precision, so high-spectral remote sensing by lowaltitude drones is preferable. Here, we report a hyperspectral remote-sensing system for unmanned aerial vehicles (UAVs). We used the vegetation and soil of typical desertified grassland in Inner Mongolia as research objects to collect vis-NIR hyperspectral data on desertification using a deep belief network (DBN), 2D convolutional neural network (2D-CNN), and 3D convolutional neural network (3D-CNN). The results show that these typical deep learning models can effectively classify hyperspectral data on desertified grassland features. The highest classification accuracy was achieved by 3D-CNN, with an overall accuracy of 86.36%. This study enriches the spatial scale of remote sensing research on grassland desertification, and provides a basis for further high-precision statistics and inversion of remote sensing of grassland desertification., The term desertification was first proposed by the French scientist A. Aubreville in 1949. At the 1977 United Nations conference on desertification, it was defined as the decline or destruction [...]