Temporal dynamics of the microbial heterogeneity-diversity relationship in microcosmic systems.

Spatial heterogeneity significantly enhances biodiversity, representing one of the ecology's most enduring paradigms. However, many studies have found decreasing, humped, and neutral correlations between spatial heterogeneity and biodiversity (heterogeneity-diversity relationships, HDR). These findings have pushed this widely accepted theory back into controversy. Microbial HDR research has lagged compared to that of plants and animals. Nevertheless, microbes have features that add a temporal-scale perspective to HDR research that is critical to understanding patterns of HDR. In this study, 157 microcosms with different types spatial heterogeneity were set up to map the HDR of microorganisms and their temporal dynamics using high-throughput sequencing techniques. The results show that the following: 1. Spatial heterogeneity can significantly alter microbial diversity in microcosmic systems. Changes in microbial diversity, in turn, lead to changes in environmental conditions. These changes caused microorganisms to exhibit increasing, decreasing, humped, U-shaped, and neutral HDR patterns. 2. The emergence of HDR patterns is characterized by temporal dynamics. Additionally, the HDR patterns generated by spatial structural and compositional heterogeneity exhibit inconsistent emergence times. These results suggest that the temporal dynamics of HDR may be one of the reasons for the coexistence of multiple patterns in previous studies. The feedback regulation between spatial heterogeneity-biodiversity-environmental conditions is an essential reason for the temporally dynamics of HDR patterns. All future ecological studies should pay attention to the temporal dynamic patterns of ecological factors.

Circulating miR-222-3p is associated with ankylosing spondylitis development and predicts therapeutic efficacy of nonsteroidal anti-inflammatory drugs.

Ankylosing spondylitis (AS) is a chronic rheumatic disease, and some microRNAs (miRNAs) in AS have been identified. This study aimed to measure miR-222-3p expression in AS patients, investigate the association of miR-222-3p with AS disease activity, and explore the clinical value of miR-222-3p in diagnosing AS and predicting therapeutic efficacy of nonsteroidal anti-inflammatory drugs (NSAIDs) on AS patients. This study included 96 patients with AS, 58 patients with rheumatoid arthritis (RA), and 90 healthy controls. miR-222-3p expression was detected by reverse-transcription quantitative polymerase chain reaction (PCR). The ability of miR-222-3p to discriminate between different groups was evaluated by receiver operating characteristic analysis. The predictive value of miR-222-3p on the efficacy of NSAID treatment for AS was assessed by logistic regression analysis. AS patients treated with oral NSAIDs diclofenac sodium were divided into response (n = 76) and no-response (n = 20) groups after 16 weeks of treatment. miR-222-3p in AS patients was higher than that in healthy subjects and RA patients. miR-222-3p had high diagnostic value in distinguishing patients with AS from RA patients and healthy controls. miR-222-3p, increased in active AS patients, had the ability to screen active AS patients from inactive AS patients. miR-222-3p was decreased in the response group, and had high accuracy in predicting the therapeutic efficiency of NSAIDs. The findings indicate that increased miR-222-3p in AS patients may function as a diagnostic biomarker for AS, and predictive biomarker for the therapeutic efficacy of NSAIDs in patients with AS. In addition, miR-222-3p is associated with AS disease activity.

Revived Amplicon Sequence Variants Monitoring in Closed Systems Identifies More Dormant Microorganisms.

The large number of dormant microorganisms present in the environment is an important component of microbial diversity, and neglecting dormant microorganisms would be disruptive to all research under the science of microbial diversity. However, current methods can only predict the dormancy potential of microorganisms in a sample and are not yet able to monitor dormant microorganisms directly and efficiently. Based on this, this study proposes a new method for the identification of dormant microorganisms based on high-throughput sequencing technology: Revived Amplicon sequence variants (ASV) Monitoring (RAM). Pao cai (Chinese fermented vegetables) soup was used to construct a closed experimental system, and sequenced samples were collected at 26 timepoints over a 60-day period. RAM was used to identify dormant microorganisms in the samples. The results were then compared with the results of the currently used gene function prediction (GFP), and it was found that RAM was able to identify more dormant microorganisms. In 60 days, GFP monitored 5045 ASVs and 270 genera, while RAM monitored 27,415 ASVs and 616 genera, and the RAM results were fully inclusive of the GFP results. Meanwhile, the consistency of GFP and RAM was also found in the results. The dormant microorganisms monitored by both showed a four-stage distribution pattern over a 60-day period, with significant differences in the community structure between the stages. Therefore, RAM monitoring of dormant microorganisms is effective and feasible. It is worth noting that the results of GFP and RAM can complement and refer to each other. In the future, the results obtained from RAM can be used as a database to extend and improve the monitoring of dormant microorganisms by GFP, and the two can be combined with each other to build a dormant microorganism detection system.

Tumor Growth Assessment by Computed Tomography Perfusion Imaging (CTPI), Perfusion-Weighted Imaging (PWI), and Diffusion-Weighted Imaging (DWI) in a Rabbit Pleural Squamous Cell Carcinoma VX2-Implanted Model.

BACKGROUND Computed tomography perfusion imaging (CTPI) and perfusion-weighted imaging (PWI) are non-invasive technologies that can quantify tumor vascularity and blood flow. This study explored the blood flow information, tumor cell viability, and hydrothoraces in a rabbit pleural VX2-implanted model through use of CTPI, PWI, and DWI. MATERIAL AND METHODS A pleural VX2-implanted model was established in 58 New Zealand white rabbits. CTPI, PWI, and DWI were applied with a 16-slice spiral CT and an Archival 1.5 T dual-gradient MRI. RESULTS Compared with muscle tissue, PV, PEI, and BV of parietal and visceral pleural tumor implantation rabbits showed significant differences. The t values of PV, PEI, and BV between parietal and visceral pleura were 2.08, 2.29, and 2.88, respectively. Compared with muscle tissue, WIR, WOR, and MAXR of parietal and visceral pleural tumor implantation rabbits showed significant differences. In parietal pleural tumor implantation rabbits, the section surface of lesion tissues was 5.2±2.7 cm². Hydrothorax appeared 6.0±2.0 days after tumor implantation. The mean value of ADC was 1.5±0.6. In visceral pleural tumor implantation rabbits, the section surface of lesion tissues was 1.6±0.8 cm². Hydrothorax appeared 7.0±3.0 days after tumor implantation. The mean value of ADC was 1.4±0.5. The t values of the above 3 indices for the parietal and visceral pleura were 1.85, 1.83, and 1.76, respectively (P<0.05). CONCLUSIONS The combined application of CTPI, PWI, and DWI accurately and visually reflects the blood perfusion of tumor tissues and quantitatively analyzes blood flow information and the mechanism underlying hydrothorax generation in tumor tissues.

Role of MR-DWI and MR-PWI in the radiotherapy of implanted pulmonary VX-2 carcinoma in rabbits.

OBJECTIVE: To detect the activity of tumor cells and tumor blood flow before and after the radiotherapy of implanted pulmonary VX-2 carcinoma in rabbit models by using magnetic resonance diffusion-weighted imaging (MR-DWI) and magnetic resonance perfusion weighted imaging (MR-PWI), and to evaluate the effectiveness and safety of the radiotherapy based on the changes in the MR-DWI and MR-PWI parameters at different treatment stages. METHODS: A total of 56 rabbit models with implanted pulmonary VX-2 carcinoma were established, and then equally divided into treatment group and control group. MR-DWI and MR-PWI were separately performed using a Philips Acheiva 1.5T MRI machine (Philips, Netherland). MRI image processing was performed using special perfusion software and the WORKSPACE advanced workstation for MRI. MR-DWI was applied for the observation of tumor signals and the measurement of apparent diffusion coefficient (ADC) values; whereas MR-PWI was used for the measurement of wash in rate (WIR), wash out rate (WOR), and maximum enhancement rate (MER). The radiation treatment was performed using Siemens PRIMUS linear accelerator. In the treatment group, the radiotherapy was performed 21 days later on a once weekly dosage of 1,000 cGy to yield a total dosage of 5,000 cGy. RESULTS: THE ADC PARAMETERS IN THE REGION OF INTEREST ON DWI WERE AS FOLLOWS: on the treatment day for the implanted pulmonary VX-2 carcinoma, the t values at the center and the edge of the lesions were 1.352 and 1.461 in the treatment group and control group (P>0.05). During weeks 0-1 after treatment, the t values at the center and the edge of the lesions were 1.336 and 1.137 (P>0.05). During weeks 1-2, the t values were 1.731 and 1.736 (P<0.05). During weeks 2-3, the t values were 1.742 and 1.749 (P<0.05). During weeks 3-4, the t values were 2.050 and 2.127 (P<0.05). During weeks 4-5, the t values were 2.764 and 2.985 (P<0.05). The ADC values in the treatment group were significantly higher than in the control group. After the radiotherapy (5,000 cGy), the tumors remarkably shrank, along with low signal on DWI, decreased signal on ADC map, and remarkably increased ADC values. As shown on PWI, on the treatment day for the implanted pulmonary VX-2 carcinoma, the t values of the WIR, WOR, and MER at the center of the lesions were 1.05, 1.31, and 1.33 in the treatment group and control group (P>0.05); in addition, the t values of the WIR, WOR, and MER at the edge of the lesions were 1.35, 1.07, and 1.51 (P>0.05). During weeks 0-1 after treatment, the t values of the WIR, WOR, and MER at the center of the lesions were 1.821, 1.856, and 1.931 (P<0.05); in addition, the t values of the WIR, WOR, and MER at the edge of the lesions were 1.799, 2.016, and 2.137 (P<0.05). During weeks 1-1 after treatment, the t values of the WIR, WOR, and MER at the center of the lesions were 2.574, 2.156, and 2.059 (P<0.05) and the t values of the WIR, WOR, and MER at the edge of the lesions were 1.869, 2.058, and 2.057 (P<0.05). During weeks 2-3 after treatment, the t values of the WIR, WOR, and MER at the center of the lesions were 2.461, 2.098, and 2.739 (P<0.05) and the t values of the WIR, WOR, and MER at the edge of the lesions were 2.951, 2.625, and 2.154 (P<0.05). During weeks 3-4 after treatment, the t values of the WIR, WOR, and MER at the center of the lesions were 2.584, 2.107, and 2.869 (P<0.05) and the t values of the WIR, WOR, and MER at the edge of the lesions were 2.057, 2.637, and 2.951 (P<0.05). During weeks 4-5 after treatment, the t values of the WIR, WOR, and MER at the center of the lesions were 2.894, 2.827, and 3.285 (P<0.05) and the t values of the WIR, WOR, and MER at the edge of the lesions were 3.45, 3.246, and 3.614 (P<0.05). After the radiotherapy (500 cGy), the tumors shrank on the T1WI, WIR, WOR, and MER; meanwhile, the PWI parameter gradually decreased and reached its minimum value. CONCLUSIONS: MR-DWI and MR-PWI can accurately and directly reflect the inactivation of tumor cells and the tumor hemodynamics in rabbit models with implanted pulmonary VX-2 carcinoma, and thus provide theoretical evidences for judging the clinical effectiveness of radiotherapy for the squamous cell carcinoma of the lung.