Relationships between high-concentration toxic metals in sediment and evolution of microbial community structure and carbon-nitrogen metabolism functions under long-term stress perspective

Microorganisms are highly sensitive to toxic metal pollution and play an important role in the material cycling and energy flow of the water ecosystem. Herein, 13 sediment samples from Junchong Reservoir (Guangxi Province, China) were collected in December 2021. The spatial distribution of pollution levels for toxic metals and the effects of toxic metals on the composition, functional characteristics, and metabolism of microorganisms were investigated. The results demonstrated that the area is a proximate area to industrial zones with severity of toxic metal pollution. Their mean concentrations of As, Cu, Zn, and Pb were up to 128.79 mg/kg, 57.62 mg/kg, 594.77 mg/kg, and 97.12 mg/kg respectively. There was a strong correlation between As, Cu, Zn, and Pb, with the highest correlation coefficient reaching 0.94. As the level of toxic metal pollution increases, the diversity and abundance of microorganisms gradually decrease. Compared to those with lower pollution levels, the Shannon index in regions with higher pollution levels decreases by up to 0.373, and the Chao index decreases by up to 143.507. However, the relative abundance of Bacteroidota, Patescibacteria, and Chloroflexi increased by 23%, 20%, and 5%, respectively, indicating their higher adaptability to toxic metals. Furthermore, microbial carbon and nitrogen metabolism were also affected by the presence of toxic metals. FAPROTAX analysis demonstrated an abundant reduction of ecologically functional groups associated with carbon and nitrogen transformations under high toxic metal pollution levels. KEGG pathway analysis indicated that carbon fixation and nitrogen metabolism pathways were inhibited with increasing toxic metal concentrations. These findings would contribute to a better understanding of the effects of toxic metal pollution on sediment microbial communities and function, shedding light on the ecological consequences of toxic metal contamination.

Single-Cell Mapping of Large and Small Arteries During Hypertensive Aging

Vascular aging is directly related to several major diseases including clinical primary hypertension. Conversely, elevated blood pressure itself accelerates vascular senescence. However, the interaction between vascular aging and hypertension has not been characterized during hypertensive aging. To depict the interconnectedness of complex mechanisms between hypertension and aging, we performed single-cell RNA sequencing of aorta, femoral and mesentery arteries, respectively, from male Wistar Kyoto rats and male spontaneously hypertensive rats aging 16 or 72 weeks. We integrated 12 data sets to map the blood vessels of senile hypertension from 3 perspective: vascular aging, hypertension, and vascular type. We found that aging and hypertension independently exerted a significant impact on the alteration of cellular composition and artery remodeling, even greater when superimposed. Consistently, smooth muscle cells (SMCs) underwent phenotypic switching from contractile toward synthetic, apoptotic, and senescent SMCs with aging/hypertension. Furthermore, we identified 3 subclusters of Spp1high, encoding protein osteopontin (OPN), synthetic SMCs, Spp1high matrix activated fibroblasts, and Spp1high scar-associated macrophage involved in hypertensive aging. Spp1high scar-associated macrophage enriched for reactive oxygen species metabolic process and cell migration-associated function. Cell-cell communication analysis revealed Spp1-Cd44 receptor pairing was markedly aggravated in the hypertensive aging condition. Importantly, the concentration of serum OPN significantly potentiated in aged hypertensive patients compared with the normal group. Thus, we provide a comprehensive cell atlas to systematically resolve the cellular diversity and dynamic cellular communication changes of the vessel wall during hypertensive aging, identifying a protein marker OPN as a potential regulator of vascular remodeling during hypertensive aging.

MRI-based automatic identification and segmentation of extrahepatic cholangiocarcinoma using deep learning network

BACKGROUND

Accurate identification of extrahepatic cholangiocarcinoma (ECC) from an image is challenging because of the small size and complex background structure. Therefore, considering the limitation of manual delineation, it's necessary to develop automated identification and segmentation methods for ECC. The aim of this study was to develop a deep learning approach for automatic identification and segmentation of ECC using MRI.

METHODS

We recruited 137 ECC patients from our hospital as the main dataset (C1) and an additional 40 patients from other hospitals as the external validation set (C2). All patients underwent axial T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), and diffusion-weighted imaging (DWI). Manual delineations were performed and served as the ground truth. Next, we used 3D VB-Net to establish single-mode automatic identification and segmentation models based on T1WI (model 1), T2WI (model 2), and DWI (model 3) in the training cohort (80% of C1), and compared them with the combined model (model 4). Subsequently, the generalization capability of the best models was evaluated using the testing set (20% of C1) and the external validation set (C2). Finally, the performance of the developed models was further evaluated.

RESULTS

Model 3 showed the best identification performance in the training, testing, and external validation cohorts with success rates of 0.980, 0.786, and 0.725, respectively. Furthermore, model 3 yielded an average Dice similarity coefficient (DSC) of 0.922, 0.495, and 0.466 to segment ECC automatically in the training, testing, and external validation cohorts, respectively.

CONCLUSION

The DWI-based model performed better in automatically identifying and segmenting ECC compared to T1WI and T2WI, which may guide clinical decisions and help determine prognosis.

MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study

OBJECTIVE

To build T2WI-based multiregional radiomics for predicting tumor deposit (TD) and prognosis in patients with resectable rectal cancer.

MATERIALS AND METHODS

A total of 208 patients with pathologically confirmed rectal cancer from two hospitals were prospectively enrolled. Intra- and peritumoral features were extracted separately from T2WI images and the least absolute shrinkage and selection operator was used to screen the most valuable radiomics features. Clinical-radiomics nomogram was developed by radiomics signatures and the most predictive clinical parameters. Prognostic model for 3-year recurrence-free survival (RFS) was constructed using univariate and multivariate Cox analysis.

RESULTS

For TD, the area under the receiver operating characteristic curve (AUC) for intratumoral radiomics model was 0.956, 0.823, and 0.860 in the training cohort, test cohort, and external validation cohort, respectively. AUC for the peritumoral radiomics model was 0.929, 0.906, and 0.773 in the training cohort, test cohort, and external validation cohort, respectively. The AUC for combined intra- and peritumoral radiomics model was 0.976, 0.918, and 0.874 in the training cohort, test cohort, and external validation cohort, respectively. The AUC for clinical-radiomics nomogram was 0.989, 0.777, and 0.870 in the training cohort, test cohort, and external validation cohort, respectively. The prognostic model constructed by combining intra- and peritumoral radiomics signature score (radscore)-based TD and MRI-reported lymph nodes metastasis (LNM) indicated good performance for predicting 3-year RFS, with AUC of 0.824, 0.865, and 0.738 in the training cohort, test cohort and external validation cohort, respectively.

CONCLUSION

Combined intra- and peritumoral radiomics model showed good performance for predicting TD. Combining intra- and peritumoral radscore-based TD and MRI-reported LNM indicated the recurrence risk.

CLINICAL RELEVANCE STATEMENT

Combined intra- and peritumoral radiomics model could help accurately predict tumor deposits. Combining this predictive model-based tumor deposits with MRI-reported lymph node metastasis was associated with relapse risk of rectal cancer after surgery.

KEY POINTS

• Combined intra- and peritumoral radiomics model provided better diagnostic performance than that of intratumoral and peritumoral radiomics model alone for predicting TD in rectal cancer. • The predictive performance of the clinical-radiomics nomogram was not improved compared with the combined intra- and peritumoral radiomics model for predicting TD. • The prognostic model constructed by combining intra- and peritumoral radscore-based TD and MRI-reported LNM showed good performance for assessing 3-year RFS.

Fine mapping and candidate gene analysis of a novel fertility restorer gene for C-type cytoplasmic male sterility in maize (Zea mays L.)

KEY MESSAGE

A novel strong fertility restorer gene Rf12 for C-type cytoplasmic male sterility of maize was finely mapped on chromosome 2. Its best candidate gene Zm00001d007531 is predicted to encode a p-type PPR protein. The lack of strong restorer gene of maize CMS-C greatly limits its application in hybrid seed production. Therefore, the cloning of maize CMS-C novel strong restorer genes is necessary. In this study, a strong restorer line ZH91 for maize CMS-C was found, and the novel restorer gene named Rf12 in ZH91 had been mapped in a 146 kb physical interval on maize chromosome 2. Using the third-generation high-throughput sequencing (ONT), the whole genome sequence of ZH91 was got, and with integrating the annotation information of the reference genome B73_RefGen_v4 and B73_RefGen_v5, four candidate genes were predicted in ZH91 within the mapping region. Then using gene cloning, stranded specific RNA sequencing, qRT-PCR analysis and subcellular localization, Zm00001d007531 was identified as the most likely candidate gene of Rf12. Zm00001d007531 encodes a p-type PPR protein with 19 PPR motifs and targets mitochondria and chloroplast. Stranded specific RNA sequencing and qRT-PCR results both show that the expression of Zm00001d007531 between anthers of near-isogenic lines C478Rf12Rf12 and C478rf12rf12 was significantly difference in pollen mother cell stage. And the result of sequence alignment for Zm00001d007531 gene in 60 materials showed that there are twelve SNPs in CDS region of Zm00001d007531 were tightly linked to the fertility. The finding of a novel strong restorer germplasm resource ZH91 for maize CMS-C can greatly promote the application of maize CMS-C line in maize hybrid seeds production, and the identification of candidate gene Zm00001d007531 can accelerate the backcrossing process of maize CMS-C strong restorer gene Rf12 to some extent.

LncRNA CARMN facilitates odontogenic differentiation of dental pulp cells by impairing EZH2

OBJECTIVE

This study aimed to reveal the potential role of CARMN in odontogenic differentiation of dental pulp cells (DPCs).

METHODS

Laser capture microdissection was used to detect Carmn in DPCs and odontoblasts in P0 mice. After manipulating CARMN expression in odontogenic differentiation induced hDPCs, the state of odontogenic differentiation was evaluated by ALP staining, ARS, and related marker expression in qRT-PCR and western blotting. The subcutaneous transplantation of HA/β-TCP loaded with hDPCs was performed to verify CARMN's role in promoting odontogenic differentiation in vivo. RNAplex and RIP were employed to reveal potential mechanism of CARMN in hDPCs.

RESULTS

CARMN expressed more abundantly in odontoblasts than DPCs in P0 mice. CARMN expression boosted during in vitro odontogenic differentiation of hDPCs. CARMN overexpression enhanced odontogenic differentiation of hDPCs in vitro, while inhibition impaired the process. CARMN overexpression in HA/β-TCP composites promoted more mineralized nodule formation in vivo. CARMN knockdown led to soared EZH2, while CARMN overexpression brought about EZH2 inhibition. CARMN functioned via direct interaction with EZH2.

CONCLUSIONS

The results uncovered CARMN as a modulator during the odontogenic differentiation of DPCs. CARMN promoted odontogenic differentiation of DPCs by impairing EZH2.

A Real-World Study of Recombinant Human Growth Hormone in the Treatment of Idiopathic Short Stature and Growth Hormone Deficiency

Objective

This study aimed to evaluate the clinical efficacy of recombinant human growth hormone (rhGH) in the treatment of children with idiopathic short stature (ISS) and growth hormone deficiency (GHD) and to explore the related factors affecting treatment efficacy.

Methods

The current research reflects a real-world study. A total of 79 patients with ISS and 95 patients with GHD (both groups pre-puberty) who had been treated with rhGH for more than one year from January 2010 to September 2019 were included in this study. The patients were divided into two groups, ie, an ISS and a GHD group, respectively. The growth indexes, such as chronological age (CA), bone age (BA), height standard deviation score (HtSDS), insulin-like growth factor-1 (IGF-1) SDS, and body mass index were recorded and compared between the two groups before and after treatment. The treatment efficacy was evaluated according to changes in HtSDS before and after treatment, and the influencing factors of clinical efficacy were analyzed using a multivariate regression model.

Results

At the start of treatment, the differences in CA, BA, height, weight, sexual development stage, HtSDS, mid-parental height SDS, and IGF-1 SDS between the two groups were not statistically significant (P > 0.05). However, the initial dose of rhGH in the GHD group was significantly lower than in the ISS group (P < 0.001). Following rhGH treatment, the differences in CA, BA, BA/CA ratio, and IGF-1 SDS measured at 6, 12, 18, and 24 months between the ISS and GHD groups were not statistically significant, while the difference in HtSDS measured at 6 months was statistically significant. With the extension of rhGH treatment time, the annual growth rate (GV) gradually decreased, and the difference between HtSDS and the baseline gradually increased; however, the differences between the ISS and GHD groups were not statistically significant. The most important factor affecting the treatment efficacy for patients with ISS was age at the start of treatment; the most important factors affecting the treatment efficacy for patients with GHD were age and IGF-1 SDS.

Conclusion

Recombinant human growth hormone treatment can significantly improve the height of patients with ISS and GHD. There was no significant difference in growth rate between patients with ISS and those with GHD at relatively high doses. The common factor affecting the treatment efficacy of the two groups was the age at the start of treatment. During treatment, monitored data indicated that rhGH treatment of GHD and ISS thyroid function showed a clinical phenomenon in the form of increased free triiodothyronine, rather than hypothyroidism, which was rarely reported in existing studies.