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Assessing the bioaccessibility and bioavailability of cadmium (Cd) is crucial for effective evaluation of the exposure risk associated with intake of Cd-contaminated rice. However, limited studies have investigated the influence of gut microbiota on these two significant factors. In this study, we utilized in vitro gastrointestinal simulators, specifically the RIVM-M (with human gut microbial communities) and the RIVM model (without gut microbial communities), to determine the bioaccessibility of Cd in rice. Additionally, we employed the Caco-2 cell model to assess bioavailability. Our findings provide compelling evidence that gut microbiota significantly reduces Cd bioaccessibility and bioavailability (p<0.05). Notably, strong in vivo-in vitro correlations (IVIVC) were observed between the in vitro bioaccessibilities and bioavailabilities, as compared to the results obtained from an in vivo mouse bioassay (R2 = 0.63-0.65 and 0.45-0.70, respectively). Minerals such as copper (Cu) and iron (Fe) in the food matrix were found to be negatively correlated with Cd bioaccessibility in rice. Furthermore, the results obtained from the toxicokinetic (TK) model revealed that the predicted urinary Cd levels in the Chinese population, based on dietary Cd intake adjusted by in vitro bioaccessibility from the RIVM-M model, were consistent with the actual measured levels (p > 0.05). These results indicated that the RIVM-M model represents a potent approach for measuring Cd bioaccessibility and underscore the crucial role of gut microbiota in the digestion and absorption process of Cd. The implementation of these in vitro methods holds promise for reducing uncertainties in dietary exposure assessment.

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Klebsiella pneumoniae is one of the most common causes of hospital-acquired infections, especially due to the emergence of the hypervirulent K. pneumoniae (hvKp) strains. Multiple methods have been developed to discriminate hvKp strains from classical K. pneumoniae (cKp) strains, such as the presence of candidate genes (e.g., peg-344, iroB, and iucA), high level of siderophore production, hypermucoviscosity phenotype, etc. Although the string test is commonly used to confirm the hypermucoviscosity of K. pneumoniae strains, it is a method lacking rigidity and accuracy. Surface-enhanced Raman spectroscopy (SERS) coupled with machine learning algorithms has been widely used in discriminating bacterial pathogens with different phenotypes. However, the technique has not be applied to identify hypermucoviscous K. pneumoniae (hmvKp) strains. In this study, we isolated a set of K. pneumoniae strains from clinical samples, among which hmvKp strains (N = 10) and cKP strains (N = 10) were randomly selected to collect SESR spectra. Eight machine learning algorithms were recruited for model construction and spectral prediction in this study, among which support vector machine (SVM) outperforms all other algorithms with the highest prediction accuracy of hmvKp strains (5-fold cross validation = 99.07%). Taken together, this pilot study confirms that SERS, combined with machine learning algorithms, can accurately identify hmvKp strains, which can facilitate the fast recognition of hvKP strains when combined with relevant methods and biomarkers in clinical settings in the near future.

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BACKGROUND: Thoracoscopic-guided thoracic paravertebral nerve block (TG-TPVB) and thoracoscopic-guided intercostal nerve block (TG-INB) are two postoperative analgesia technology for thoracic surgery. This study aims to compared the analgesic effect of TG-TPVB and TG-INB after uniportal video-asssited thoracic surgery (UniVATS). METHODS: Fifty-eight patients were randomly allocated to the TG-TPVB group and the TG-INB group. The surgical time of nerve block, the visual analog scale (VAS) scores, the consumption of sufentanil and the number of patient-controlled intravenous analgesic (PCIA) presses within 24 h after surgery, the incidence of adverse reactions were compared between the two groups. RESULTS: The VAS scores were significantly lower during rest and coughing at 2, 6, 12, and 24 h in the TG-TPVB group than in the TG-INB group (P < 0.05). The consumption of sufentanil and the number of PCIA presses within 24 h after surgery were significantly lower in the TG-TPVB group than in the TG-INB group (P < 0.001).The surgical time of nerve block was significantly shorter in the TG-TPVB group than in the TG-INB group (P < 0.001). The incidence of bleeding at the puncture point was lower in the TG-TPVB group than that in the TG-INB group (P < 0.05). CONCLUSION: TG-TPVB demonstrated superior acute pain relieve after uniVATS, shorter surgical time and non-inferior adverse effects than TG-INB.

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The determination of biogenic amines (BAs) in alcoholic beverages is crucial for assessing their health impact, ensuring beverage quality, and guaranteeing safety. Herein, a rapid one-pot derivatization/magnetic solid-phase extraction (OPD/MSPE) method was proposed using 6-aminoquinolinyl-N-hydroxysuccinimide carbamate as the derivatization reagent and magnetic hydroxyl-functionalized multi-walled carbon nanotubes as the extraction material. Integration of derivatization and extraction steps simplifies the sample preparation process, taking only three minutes and eliminating the need for centrifugation by utilizing magnetic sorbent. The resulting desorption solution was directly analyzed by high-performance liquid chromatography-fluorescence detection (HPLC-FLD) without any evaporation or reconstitution steps. The integrated OPD/MSPE-HPLC-FLD method demonstrates excellent linearity (R2 > 0.992), accuracy (relative recoveries: 85.1-109.2%), precision (RSDs≤9.7%) and detection limits (limits of detection: 0.3-2 ng/mL). It has been successfully applied to determine free BAs in various alcoholic beverages, including red wine, Baijiu, Huangjiu, and beer. This method enables rapid, sensitive and precise analysis of BAs in alcoholic beverages.

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BACKGROUND: Therapeutic resistance is a main obstacle to achieve long-term benefits from immune checkpoint inhibitors. The underlying mechanism of neoadjuvant anti-PD-1 resistance remains unclear. METHODS: Multi-omics analysis, including mass cytometry, single-cell RNA-seq, bulk RNA-seq, and polychromatic flow cytometry, was conducted using the resected tumor samples in a cohort of non-small cell lung cancer (NSCLC) patients received neoadjuvant anti-PD-1 therapy. Tumor and paired lung samples acquired from treatment-naïve patients were used as a control. In vitro experiments were conducted using primary cells isolated from fresh tissues and lung cancer cell lines. A Lewis-bearing mouse model was used in the in vivo experiment. RESULTS: The quantity, differentiation status, and clonal expansion of tissue-resident memory CD8+ T cells (CD8+ TRMs) are positively correlated with therapeutic efficacy of neoadjuvant anti-PD-1 therapy in human NSCLC. In contrast, the quantity of immature CD1c+ classical type 2 dendritic cells (imcDC2) and galectin-9+ cancer cells is negatively correlated with therapeutic efficacy. An epithelium/imDC2 suppressive axis that restrains the antitumor response of CD8+ TRMs via galectin-9/TIM-3 was uncovered. The expression level of CD8+ TRMs and galectin-9+ cancer cell-related genes predict the clinical outcome of anti-PD-1 neoadjuvant therapy in human NSCLC patients. Finally, blockade of TIM-3 and PD-1 could improve the survival of tumor-bearing mouse by promoting the antigen presentation of imcDC2 and CD8+ TRMs-mediated tumor-killing. CONCLUSION: Galectin-9 expressing tumor cells sustained the primary resistance of neoadjuvant anti-PD-1 therapy in NSCLC through galectin-9/TIM-3-mediated suppression of imcDC2 and CD8+ TRMs. Supplement of anti-TIM-3 could break the epithelium/imcDC2/CD8+ TRMs suppressive loop to overcome anti-PD-1 resistance. TRIAL REGISTRATION NUMBER: NCT03732664.

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Cellular senescence is a natural barrier of the transition from premalignant cells to invasive cancer. Pharmacological induction of senescence has been proposed as a possible anticancer strategy. In this study, we found that deoxyarbutin inhibited the growth of glioblastoma (GBM) cells by inducing cellular senescence, independent of tyrosinase expression. Instead, deoxyarbutin induced mitochondrial oxidative stress and damage. These aberrant mitochondria were key to the p53-dependent senescence of GBM cells. Facilitating autophagy or mitigating mitochondrial oxidative stress both suppressed p53 expression and alleviated cellular senescence induced by deoxyarbutin. Thus, our study reveals that deoxyarbutin induces mitochondrial oxidative stress to trigger the p53-dependent senescence of GBM cells. Importantly, deoxyarbutin treatment resulted in accumulation of p53, induction of cellular senescence, and inhibition of tumor growth in a subcutaneous tumor model of mouse. In conclusion, our study reveals that deoxyarbutin has therapeutic potential for GBM by inducing mitochondrial oxidative stress for p53-dependent senescence of GBM cells.

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The ecological stoichiometric characteristics of soil elements have greatly enhanced our understanding of the circulation of soil nutrients. However, there is limited knowledge regarding the alteration of carbon, nitrogen, and phosphorus stoichiometric ratios in deep soil after afforestation. To examine the variations in stoichiometric ratios of soil elements with different vegetation types, restoration times, and soil depths, we collected soil samples from grassland, Caragana korshinskii shrubland, and Picea asperata forestland at different stand ages (10a, 25a, and 40a) in Xining City, which is located on the Loess Plateau. Our results showed that, at 25a, the carbon-to-nitrogen (C:N) and carbon-to-phosphorus (C:P) ratios were significantly higher in the grassland soil than under other vegetation types, whereas the nitrogen-to-phosphorus (N:P) ratio had no significant difference among the three vegetation types. At 40a, the ratios of soil C:N, C:P, and N:P in the shrubland were the highest. With the increasing of the restoration time, the ratios of soil C:N, C:P, and N:P in grassland with 25a became higher than for 40a or 10a. The ratios in the shrubland were highest at 40a, followed by 25a and then 10a, while the ratios in the forestland showed no significant difference. At 40a, the soil C:N, C:P, and N:P ratios of shrubland were highest at the soil depth of 40-100 cm. The soil C:N, C:P, and N:P ratios showed positive correlations with soil ammonium nitrogen and nitrate nitrogen, and the soil N:P ratios showed a negative correlation with soil available phosphorus. Plant diversity significantly influenced the soil stoichiometric ratio of the upper soil layer. In the upper soil layer (0-40 cm), species richness showed a positive correlation with soil C:N, C:P, and N:P ratios, and the Margalef index exhibited a positive correlation with soil C:N and C:P ratios. The results of this study indicate that the stoichiometric ratio and nutrient availability of Caragana korshinskii shrubland were the highest over time. Therefore, these findings can be served as a valuable reference for local revegetation and ecological restoration.

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Background: The incidence rate of thyroid nodules has reached 65%, but only 5-15% of these modules are malignant. Therefore, accurately determining the benign and malignant nature of thyroid nodules can prevent unnecessary treatment. We aimed to develop a deep-learning (DL) radiomics model based on ultrasound (US), explore its diagnostic efficacy for benign and malignant thyroid nodules, and verify whether it improved the diagnostic level of physicians. Methods: We retrospectively included 1,076 thyroid nodules from 817 patients at three institutions. The radiomics and DL features of the US images were extracted and used to construct radiomics signature (Rad_sig) and deep-learning signature (DL_sig). A Pearson correlation analysis and least absolute shrinkage and selection operator (LASSO) regression analysis were used for feature selection. Clinical US semantic signature (C_US_sig) was constructed based on clinical information and US semantic features. Next, a combined model was constructed based on the above three signatures in the form of a nomogram. The model was constructed using a development set (institution 1: 719 nodules), and the model was evaluated using two external validation sets (institution 2: 74 nodules, and institution 3: 283 nodules). The performance of the model was assessed using decision curve analysis (DCA) and calibration curves. Furthermore, the C_US_sigs of junior physicians, senior physicians, and expers were constructed. The DL radiomics model was used to assist the physicians with different levels of experience in the interpretation of thyroid nodules. Results: In the development and validation sets, the combined model showed the highest performance, with areas under the curve (AUCs) of 0.947, 0.917, and 0.929, respectively. The DCA results showed that the comprehensive nomogram had the best clinical utility. The calibration curves indicated good calibration for all models. The AUCs for distinguishing between benign and malignant thyroid nodules by junior physicians, senior physicians, and experts were 0.714-0.752, 0.740-0.824, and 0.891-0.908, respectively; however, with the assistance of DL radiomics, the AUCs reached 0.858-0.923, 0.888-0.944, and 0.912-0.919, respectively. Conclusions: The nomogram based on DL radiomics had high diagnostic efficacy for thyroid nodules, and DL radiomics could assist physicians with different levels of experience to improve their diagnostic level.

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PURPOSE: Breast-conserving surgery (BCS) plus radiotherapy and mastectomy exhibit highly comparable prognoses for early-stage breast cancer; however, the safety of BCS for T1-2N3M0 breast cancer remains unclear. This study compared long-term survival for BCS versus (vs.) modified radical mastectomy (MRM) among patients with T1-2N3M0 breast cancer. METHODS: Data of patients with T1-2N3M0 breast cancer were extracted from the Surveillance, Epidemiology, and End Results database. Eligible patients were divided into 2 groups, BCS and MRM; Pearson's chi-squared test was used to estimate differences in clinicopathological features. Propensity score matching (PSM) was used to balance baseline characteristics. Univariate and multivariate analyses were performed to investigate the effects of surgical methods and other factors on breast cancer-specific survival (BCSS) and overall survival (OS). RESULTS: In total, 2124 patients were included; after PSM, 596 patients were allocated to each group. BCS exhibited the same 5-year BCSS (77.9% vs. 77.7%; P = 0.814) and OS (76.1% vs. 74.6%; P = 0.862) as MRM in the matched cohorts. Multivariate survival analysis revealed that BCS had the same BCSS and OS as MRM (hazard ratios [HR] 0.899 [95% confidence intervals (CI) 0.697-1.160], P = 0.413 and HR 0.858 [95% CI 0.675-1.089], P = 0.208, respectively); this was also seen in most subgroups. BCS demonstrated better BCSS (HR 0.558 [95% CI 0.335-0.929]; P = 0.025) and OS (HR 0.605 [95% CI 0.377-0.972]; P = 0.038) than MRM in those with the triple-negative subtype. CONCLUSIONS: BCS has the same long-term survival as MRM in T1-2N3M0 breast cancer and may be a better choice for triple-negative breast cancer.

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Antibiotics and triazole fungicides coexist in varying concentrations in natural aquatic environments, resulting in complex mixtures. These mixtures can potentially affect aquatic ecosystems. Accurately distinguishing synergistic and antagonistic mixtures and predicting mixture toxicity are crucial for effective mixture risk assessment. We tested the toxicities of 75 binary mixtures of antibiotics and fungicides against Auxenochlorella pyrenoidosa. Both regression and classification models for these mixtures were developed using machine learning models: random forest (RF), k-nearest neighbors (KNN), and kernel k-nearest neighbors (KKNN). The KKNN model emerged as the best regression model with high values of determination coefficient (R2 = 0.977), explained variance in prediction leave-one-out (Q2LOO = 0.894), and explained variance in external prediction (Q2F1 = 0.929, Q2F2 = 0.929, and Q2F3 = 0.923). The RF model, the leading classifier, exhibited high accuracy (accuracy = 1 for the training set and 0.905 for the test set) in distinguishing the synergistic and antagonistic mixtures. These results provide crucial value for the risk assessment of mixtures.

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There has been growing attention to the impact of copper exposure on cognitive function; however, current research on the specific information regarding urinary copper and cognitive function is limited, particularly detailed analyses in the Chinese adult population. This study aimed to explore the association between copper exposure and cognitive function in a cross-sectional design. A total of 2617 participants in a county, Guangxi Zhuang Autonomous Region (Guangxi), China, were included. The mini-mental state examination (MMSE) was used to assess cognitive function, and inductively coupled plasma mass spectrometry was used to measure urinary metal levels. Spearman's rank correlation was used to analyze the correlation between urinary copper levels and various cognitive function assessment indices. After adjusting for potential confounders, binary logistic regression was used to explore the association between urinary copper levels and the risk of cognitive impairment (CI) as revealed by MMSE, and restricted cubic spline regression was further used to explore the dose-response relationship. The results showed a negative correlation between urinary copper levels and orientation, attention and calculation, memory, language ability, and MMSE total scores (P < 0.05). Compared with the low copper exposure group, the high exposure group showed a 58.5% increased risk of CI (OR = 1.585, 95%CI: 1.125 to 2.235, P = 0.008). A significant linear dose-response relationship was observed between urinary copper levels and the risk of CI (P overall = 0.045, P nonlinearity = 0.081). Our findings suggest that higher copper exposure may be associated with CI in the population of a county, Guangxi, China.

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Introduction: In recent years, the incidence of measles in China has consistently remained below 1 per 100,000 population, yet the disease has not been eliminated. This study aims to comprehensively analyze the epidemiological characteristics of measles from 2005 to 2022, identify high-risk populations and areas, and propose targeted interventions. Methods: We utilized data from the China Disease Prevention and Control Information System for our comprehensive analysis. Spatial autocorrelation was employed to examine the spatial clustering of measles, while spatiotemporal scanning analysis was used to detect spatiotemporal clustering to describe measles epidemiology during the study period. Results: Between 2005 and 2022, 732,218 measles cases were reported in China. Overall, the incidence of measles exhibited a downward trend, particularly during the periods of 2008-2011 and 2015-2022. In 2022, the incidence rate reached its historical low at 0.039 per 100,000 population. Measles predominantly affects young children. Since 2017, global spatial clustering has diminished, although hotspot areas persist in the western provinces. Spatial-temporal scanning identified a high-incidence cluster from 2005 to 2008, comprising 15 provinces in the western, central, and northern regions of China. Conversely, from 2016 to 2022, a low-incidence cluster was detected in the southern and central provinces. Conclusions: China has made significant progress in measles prevention and control. The recent low incidence and absence of substantial spatiotemporal clustering indicate that China is nearing measles elimination. However, there is a continuing need to enhance prevention and control efforts among very young children and in historic incidence hotspots in western provinces. Additionally, improving the diagnosis of vaccine-associated rash illnesses is essential.

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Breast cancer is the most common malignant tumor worldwide, and mastectomy remains the primary strategy for treating early stage breast cancer. However, the complication rates, surgical variables, and oncologic safety of minimally invasive nipple-sparing mastectomy (MINSM) have not been fully addressed. We systematically searched PubMed, Web of Science, Embase, and the Cochrane Library for randomized-controlled trials (RCTs) and non-RCTs that compared MINSM with conventional nipple-sparing mastectomy (CNSM), both followed by Prosthesis Breast Reconstruction (PBR). The main outcomes observed included overall complications, (Grade III) complications, skin and nipple necrosis, wound dehiscence, infection, seroma, hematoma, implant loss, and oncologic safety (positive margins and recurrence). Secondary outcomes included operation time, blood loss, hospital stay, cost-effectiveness, and patient satisfaction. Binary and continuous variables were compared using odds ratios (OR) and mean differences (MD) with 95% confidence intervals (CI). A total of 10 studies involving 2,166 patients were included. There were no statistically significant differences between MINSM and CNSM in terms of skin necrosis, wound dehiscence, infection, seroma, hematoma, implant loss, or oncologic safety. However, MINSM significantly reduced overall complications (OR = 0. 74, 95% CI [0. 58, 0. 94], p = 0. 01) and (Grade III) complications (OR = 0. 47, 95% CI [0. 31, 0. 71], p = 0. 0003). Nipple necrosis events were also significantly reduced in the MINSM group (OR = 0. 49, 95% CI [0. 30, 0. 80], p = 0. 005). Patient satisfaction improved notably in the MINSM group. Additionally, compared with the CNSM group, the MINSM group had longer operating times (MD = 46. 88, 95% CI [19. 55, 74. 21], p = 0. 0008) and hospital stays (MD = 1. 39, 95% CI [0. 65, 2. 12], p < 0. 001), while intraoperative blood loss was significantly reduced (MD = -29. 05, 95% CI [-36. 20, -21. 90], p < 0. 001). Compared with CNSM, MINSM offers advantages in reducing complications and intraoperative blood loss, as well as improving aesthetic outcomes and patient satisfaction. Therefore, MINSM may become a viable option for breast surgery. Nevertheless, a long-term evaluation of the oncologic safety of this approach is necessary to ensure its efficacy and safety for patients.

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This study aims to investigate the role and mechanism of Gusong Qianggu Decoction(GSQG) in attenuating bone loss in ovariectomized mice by targeting the endoplasmic reticulum stress(ERS)-induced apoptosis of osteocytes. After the modeling of osteoporosis in mice with bilateral ovary removal(OVX), 60 mice were randomized by the random number method into six groups: sham,model, low-, medium-, and high-dose GSQG(GSQG-L, GSQG-M, and GSQG-H, respectively), and estradiol(E_2), with 10 mice in each group. The mice in each group were administrated with corresponding drugs by gavage one month after surgery and the administration lasted for 3 months. Enzyme-linked immunosorbent assay(ELISA) was employed to determine the serum levels of osteocalcin(OCN), procollagen type Ⅰ N-terminal propeptide(PINP), carboxy-terminal cross-linked telopeptide of type Ⅰ collagen(CTX),and anti-tartarte acid phosphatase 5b(TRAcP-5b). Micro-CT was employed to observe the changes in bone microstructure of the distal femur. Hematoxylin-eosin(HE) staining was employed to observe the morphology of the bone tissue. RT-qPCR was conducted to determine the m RNA levels of tibial stem osteogenesis-associated genes [type Ⅰ collagen(Col-Ⅰ), alkaline phosphatase(ALP), Runtrelated transcription factor-2(Runx2), bone sialoprotein(BSP), and OCN] and bone-breaking related genes [tartrate-resistant acid phosphatase(TRAP), nuclear factor-activated T cell 1(NFATc1), and cathepsin K(CATK)]. TUNEL staining and immunohistochemistry were employed to detect the apoptosis of osteoblasts. Western blot was employed to measure the expression of ERS-related proteins glucose-regulated protein 78( Grp78), protein kinase RNA-like endoplasmic reticulum kinase( PERK), phosphorylated PERK(p-PERK),eukaryotic translation initiation factor 2 alpha(eIF2α), phosphorylated e IF2α(p-eIF2α), inositol-requiring enzyme 1 alpha(IRE1α), phosphorylated IRE1α(p-IRE1α), and activating transcription factor 6(ATF6) in the proximal tibial bone tissue. The results showed that GSQG significantly recovered the levels of OCN, PINP, TRAc P-5b, and CTX in the serum of ovariectomized mice, and Micro-CT showed that GSQG improved the bone microstructure of distal femur in a dose-dependent manner. Compared with the model group, GSQG widened and increased the bone trabeculae, restored the reticular structure with neat arrangement and enlarged interstitial gaps, and reduced the number of TUNEL-positive cells(P<0. 05, P<0. 01). Furthermore, GSQG down-regulated the expression levels of cysteine aspartate protease-3( caspase-3) and factor Bcl-2-associated X protein( Bax)(P< 0. 05,P<0. 01) and up-regulated the expression level of Bcl-2(P<0. 05, P<0. 01). The GSQG groups showed up-regulated m RNA levels of Col-Ⅰ, ALP, Runx2, BSP, and OCN(P< 0. 01) and down-regulated m RNA levels of TRAP, NFATc1, and CATK(P< 0. 05,P<0. 01). In addition, GSQG, especially GSQG-H, down-regulated the protein levels of Grp78, p-PERK, p-eIF2, p-IRE1α, and ATF6(P< 0. 05, P< 0. 01). In conclusion, GSQG can inhibit the apoptosis of osteocytes by inhibiting the Grp78/PERK/e IF2α/IRE1α/ATF6 signaling pathway in the proximal tibia tissue, thus reducing bone loss in ovariectomized mice.

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Sarcoid myositis is a rare and often debilitating extrapulmonary manifestation of sarcoidosis that can be difficult to recognize without a prior sarcoidosis diagnosis. Sarcoidosis with muscle nodules or masses as the first symptom is the least common form, occurring in approximately 0.5%-2.3% of cases. This article presents four middle-aged female patients who initially sought medical attention for a lower limb mass. Ultrasound examinations revealed consistent characteristic changes indicative of myositis. All patients underwent ultrasound-guided muscle biopsy and were diagnosed with sarcoidosis. Therefore, ultrasonography plays a pivotal role as the primary diagnostic tool for the early detection of sarcoid myositis.

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We construct a compartmentalized nanoarchitecture to regulate bioenergy level. Glucose dehydrogenase, urease and nicotinamide adenine dinucleotide are encapsulated inside through liquid-liquid phase separation. ATPase and glucose transporter embedded in hybrid liposomes are attached at the surface. Glucose is transported and converted to gluconic acid catalyzed by glucose dehydrogenase, resulting in an outward proton gradient to drive ATPase for ATP synthesis. In parallel, urease catalyzes hydrolysis of urea to generate ammonia, which leads to an inward proton gradient to drive ATPase for ATP hydrolysis. These processes lead to a change of the direction of proton gradient, thus achieving artificial ATP oscillation. Importantly, the frequency and the amplitude of the oscillation can be programmed. The work explores nanoarchitectonics integrating multiple components to realize artificial and precise oscillation of bioenergy level.

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BACKGROUND: Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by disturbance of pro-inflammatory and anti-inflammatory lymphocytes. Growing evidence shown that gut microbiota participated in the occurrence and development of SLE by affecting the differentiation and function of intestinal immune cells. The purpose of this study was to investigate the changes of gut microbiota in SLE and judge its associations with peripheral T lymphocytes. METHODS: A total of 19 SLE patients and 16 HCs were enrolled in this study. Flow cytometry was used to detect the number of peripheral T lymphocyte subsets, and 16 s rRNA was used to detect the relative abundance of gut microbiota. Analyzed the correlation between gut microbiota with SLEDAI, ESR, ds-DNA and complement. SPSS26.0 software was used to analyze the experimental data. Mann-Whitney U test was applied to compare T lymphocyte subsets. Spearman analysis was used for calculating correlation. RESULTS: Compared with HCs, the proportions of Tregs (P = 0.001), Tfh cells (P = 0.018) and Naïve CD4 + T cells (P = 0.004) significantly decreased in SLE patients, and proportions of Th17 cells (P = 0.020) and γδT cells (P = 0.018) increased in SLE. The diversity of SLE patients were significantly decreased. Addition, there were 11 species of flora were discovered to be distinctly different in SLE group (P < 0.05). In the correlation analysis of SLE, Tregs were positively correlated with Ruminococcus2 (P = 0.042), Th17 cells were positively correlated with Megamonas (P = 0.009), γδT cells were positively correlated with Megamonas (P = 0.003) and Streptococcus (P = 0.004), Tfh cells were positively correlated with Bacteroides (P = 0.040), and Th1 cells were negatively correlated with Bifidobacterium (P = 0.005). As for clinical indicators, the level of Tregs was negatively correlated with ESR (P = 0.031), but not with C3 and C4, and the remaining cells were not significantly correlated with ESR, C3 and C4. CONCLUSION: Gut microbiota and T lymphocyte subsets of SLE changed and related to each other, which may break the immune balance and affect the occurrence and development of SLE. Therefore, it is necessary to pay attention to the changes of gut microbiota and provide new ideas for the treatment of SLE.

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We report neutralization titer data against contemporary SARS-CoV-2 sublineages from an ongoing, phase 2/3, open-label, clinical trial of a single dose (30 µg) of an Omicron XBB.1.5-adapted BNT162b2 monovalent mRNA vaccine. The trial included healthy participants who had received at least three previous doses of an mRNA vaccine authorized in the United States, with the most recent authorized vaccine dose being a bivalent Omicron BA.4/BA.5-adapted vaccine given at least 150 days before the study vaccination. In this analysis, Omicron XBB.1.5, BA.2.86, and JN.1 serum neutralizing titers were assessed at baseline and at 1 month after vaccination. Analyses were conducted in a subset of participants who were at least 18 years of age (N = 40) and who had evidence of previous SARS-CoV-2 infection. Immunogenicity was also evaluated in a group of participants who received bivalent BA.4/BA.5-adapted BNT162b2 in another study (ClinicalTrials.gov Identifier: NCT05472038) and who were matched demographically to the participants in the current trial. In this analysis, monovalent XBB.1.5-adapted BNT162b2 vaccine elicited higher XBB.1.5, BA.2.86, and JN.1 neutralizing titers than those elicited by bivalent BA.4/BA.5-adapted BNT162b2. Overall geometric mean fold rises in neutralizing titers from baseline to 1 month after vaccination were higher among participants who received XBB.1.5-adapted BNT162b2 than those who received bivalent BA.4/BA.5-adapted BNT162b2 for XBB.1.5 (7.6 vs. 5.6), slightly higher for JN.1 (3.9 vs. 3.5), and similar for BA.2.86 (4.8 vs. 4.9). ClinicalTrials.gov Identifier: NCT05997290.