Prevalent arbuscular mycorrhizae in roots and highly variable mycobiome in leaves of epiphytic subtropical fern Ophioderma pendulum.

PREMISE: Endophytic and mycorrhizal fungi are crucial in facilitating plant nutrition acquisition and stress tolerance. In epiphytic habitats, plants face nutrition and water stress, but their roots are mostly nonmycorrhizal and especially lacking in arbuscular mycorrhizal associations. Ophioderma pendulum is an epiphytic fern with a partially mycoheterotrophic lifestyle, likely heavily reliant on symbiotic fungi. To characterize fungal associations in the sporophyte of O. pendulum, we focused on leaves and roots of O. pendulum, seeking to reveal the fungal communities in these organs. METHODS: Roots and leaves from O. pendulum in a subtropical forest were examined microscopically to observe the morphology of fungal structures and determine the percentage of various fungal structures in host tissues. Fungal composition was profiled using metabarcoding techniques that targeted ITS2 of the nuclear ribosomal DNA. RESULTS: Roots were consistently colonized by arbuscular mycorrhizal fungi (Glomeromycota), especially Acaulospora. Unlike previous findings on epiphytic ferns, dark septate endophytes were rare in O. pendulum roots. Leaves were predominantly colonized by Ascomycota fungi, specifically the classes Dothideomycetes (46.88%), Eurotiomycetes (11.51%), Sordariomycetes (6.23%), and Leotiomycetes (6.14%). Across sampling sites, fungal community compositions were similar in the roots but differed significantly in the leaves. CONCLUSIONS: Ophioderma pendulum maintains stable, single-taxon-dominant communities in the roots, primarily featuring arbuscular mycorrhizal fungi, whereas the leaves may harbor opportunistic fungal colonizers. Our study underlines the significance of mycorrhizal fungi in the adaptation of epiphytic ferns.

Linking to the development of economic growth with digital financial inclusion and supply chain management in China.

Much research demonstrates the positive effects of financial inclusion and digital finance on expansion. Supply chains that can be relied upon are essential to national productivity and economic development. This study uses panel data from 2007 to 2022 covering 27 provinces in China to study the results of widespread access to digital financial services and supply chain management on regional economic growth using the instrumental variable approach (fixed effect model). In contrast to earlier research, this study employs an alternative measure of access to digital financial services utilization and digitalization. The data demonstrates that digital financial inclusion and supply chain management have a major impact on the development of the provincial economies in China. Based on the results of this research, we suggest increasing digital financial inclusion and bolstering human capital development to stimulate economic expansion. This essay makes a theoretical advancement in studying digital technology's widespread adoption of financial services by providing a comprehensive critical review and a fresh angle on the nuts and bolts of digital money and universal banking. Boosting institutional quality and governance are two more paths that authorities can take to stimulate economic expansion in the China area, and the results show how important these measures are for achieving this goal.

Circular RNA: A new expectation for cardiovascular diseases.

Circular RNA (circRNA) is a class of RNA with the 5' and 3' ends connected covalently to form a closed loop structure and characterized by high stability, conserved sequences and tissue specificity, which is caused by special reverse splicing methods. Currently, it has become a hot spot for research. With the discovery of its powerful regulatory functions and roles, the molecular mechanisms and future value of circRNA in participating in and regulating biological and pathological processes are becoming increasingly apparent. Among them is the increasing prevalence of cardiovascular diseases (CVDs). Many studies have elucidated that circRNA plays a crucial role in the development and progression of CVDs. Therefore, circRNA shows its advantages and brilliant expectations in the field of CVDs. In this review, we describe the biogenesis, bioinformatics detection and function of circRNA and discuss the role of circRNA and its effects on CVDs, including atherosclerosis, myocardial infarction, cardiac hypertrophy and heart failure, myocardial fibrosis, cardiac senescence, pulmonary hypertension, and diabetic cardiomyopathy by different mechanisms. That shows circRNA advantages and brilliant expectations in the field of CVDs.

Bioactivities of thymol and p-cymene from the essential oil of Adenosma buchneroides against three stored-product insects.

The adverse effects of relying solely on synthetic pesticides have become increasingly evident, leading many countries to explore alternatives sourced from plant-based green economies. Essential oil (EO) from stems and leaves of Adenosma buchneroides Bonati (A. buchneroides) was distilled by using hydrodistillation and subjected to gas chromatography-mass spectrometry (GC-MS) for component identification. Subsequently, EO as well as its main constituents (thymol and p-cymene) were tested for their insecticidal activity against the red flour beetle (Tribolium castaneum), the cigarette beetle (Lasioderma serricorne), and the booklouse (Liposcelis bostrychophila). The joint action of thymol and p-cymene produced an additive or synergistic effect. A. buchneroides essential oil (BHO) and the fixed ratio of the main compounds, thymol, and p-cymene both showed significant toxic activity against the target pests. This toxic effect is not simply the sum of individual effects, as it is influenced by various factors such as insect species and mode of action. These findings imply that the BHO and its phytoconstituents possess great potential to develop plant-derived biopesticides that will be safe for humans and the environment.

Computed tomography features of gastric leiomyoma versus gastric stromal tumor: a case-control study with propensity score matching.

OBJECTIVE: To differentiate gastric leiomyomas (GLs) and gastric stromal tumors (GSTs) based on preoperative enhanced computed tomography characteristics. METHODS: Twenty-six pathologically confirmed GLs were propensity score-matched to 26 GSTs in a 1:1 ratio based on sex, age, tumor site, and tumor size. Tumor shape and contour, mucosal ulceration, growth pattern, enhancement pattern and degree, longest diameter, and longest diameter/vertical diameter ratio were compared between the groups. Hemorrhage, calcification, peripheral invasion, and distant metastasis were also included in the regression analysis for differentiation of the two tumors. RESULTS: Mucosal ulceration was significantly more frequent in GSTs than GLs. The enhancement degree of GSTs was significantly higher than that of GLs in the arterial and portal venous phases. Using enhancement degrees of 18 HU and 23 HU in the arterial phase and venous phase as cutoff values, respectively, we found that an enhancement degree of <18 HU in the arterial phase was an independent influential factor for diagnosis of GLs. No significant differences were found in other morphological characteristics. GLs did not metastasize or invade adjacent tissues. CONCLUSION: A low enhancement degree in GLs is the most valuable quantitative feature for differentiating these two similar tumors.

The influences of AlGaN barrier epitaxy in multiple quantum wells on the optoelectrical properties of AlGaN-based deep ultra-violet light-emitting diodes.

The growth conditions of the AlGaN barrier in AlGaN/AlGaN deep ultra-violet (DUV) multiple quantum wells (MQWs) have crucial influences on the light output power of DUV light-emitting diodes (LEDs). The reduction of the AlGaN barrier growth rate improved the qualities of AlGaN/AlGaN MQWs, such as surface roughness and defects. The light output power enhancement could reach 83% when the AlGaN barrier growth rate was reduced from 900 nm h-1 to 200 nm h-1. In addition to the light output power enhancement, lowering the AlGaN barrier growth rate altered the far-field emission patterns of the DUV LEDs and increased the degree of polarization in the DUV LEDs. The enhanced transverse electric polarized emission indicates that the strain in AlGaN/AlGaN MQWs was modified by lowering the AlGaN barrier growth rate.

Aquaporin 1 is a prognostic marker and inhibits tumour progression through downregulation of Snail expression in intrahepatic cholangiocarcinoma.

BACKGROUND: Recently, some studies have suggested a link between AQP1 and cancer progression. AIMS: The aim of the present study was to investigate the influence of AQP1 on the clinicopathology and prognosis of intrahepatic cholangiocarcinoma (ICC) patients. METHODS: We retrospectively detected the expression of AQP1 protein in 307 patients with ICC who underwent partial hepatectomy. Western blot analysis was used to detect AQP1 protein levels in stable AQP1 overexpression and knockdown cell lines. The influence of AQP1 on the invasion and metastasis ability of ICC cells was assessed by wound-healing and Transwell assays in vitro as well as by a splenic liver metastasis model in vivo. RESULTS: Positive membranous AQP1 expression was identified in 34.2% (105/307) of the ICC specimens. Survival data revealed that positive AQP1 expression was significantly associated with favourable disease-free survival (DFS) and overall survival (OS) (p = 0.0290 and p = 0003, respectively). Moreover, high AQP1 expression inhibited the invasion and migration of ICC cells in vitro as well as inhibited liver metastasis in nude mice. Mechanistically, high AQP1 expression in ICC cells increased the levels of E-cadherin but decreased the levels of the Snail transcription factor. CONCLUSIONS: AQP1 expression is associated with a favourable prognosis in ICC patients. AQP1 inhibits ICC cell invasion, metastasis, and epithelial-mesenchymal transition (EMT) through downregulation of Snail expression.

LncRNA: An Important Regulator of Atherosclerosis.

Long non-coding RNA (lncRNA) is a kind of biomolecule that can regulate important life activities such as cell proliferation, apoptosis, differentiation, aging, and body development. It has been found that lncRNAs are closely related to various diseases. In cardiovascular diseases, lncRNAs affect the expression level of related genes in atherosclerotic plaques, which are closely related to endothelial dysfunction, smooth muscle cell proliferation, macrophage dysfunction, abnormal lipid metabolism, and cellular autophagy, thus participating in regulating the occurrence and development of AS. In view of this, investigating the role of lncRNAs in regulating cardiac gene networks on cardiovascular system diseases has attracted much clinical attention and may be a novel target for AS therapy. This paper focuses on lncRNAs related to AS, explores the relationship between lncRNAs and AS, suggests the role of lncRNAs in the prevention and treatment of AS, and expects the application of more lncRNAs as the marker in the clinical diagnosis and treatment of AS.

Free-space remote detection of a spinning object using the combined vortex beam.

The rotational Doppler effect (RDE) associated with orbital angular momentum (OAM) has been used for remote sensing of a spinning object. However, one of the challenges of long-range detection stems from the low echo signal power. In this paper, we propose a new detection scheme that uses the combined vortex beam (CVB) generated by coherent beam combining (CBC) technology as the probe beam to enhance the echo signal power. Furthermore, we establish a rotational speed remote sensing model based on RDE, the emitted power and emission diameter of the probe beam are investigated in detail. The results show that, compared with the superposition vortex beam (SVB) generated by a single laser beam, the CVB detection scheme can significantly enhance the echo signal intensity and detection distance. The measuring range and accuracy of rotational speed are also studied in detail. And finally, we present the first experimental demonstration of the RDE arising directly from the interaction of the CVB with a rotating rough surface. The scheme proposed in our paper offers a good reference for practical application of the remote detection based on RDE.

The Problems of "Mental Health Trend" in the Ideological and Political Management of College Students Under the Network Environment.

In order to solve the problem that the ideological and political work mechanism in colleges and universities is relatively backward, which has no significant effect on ensuring the healthy and vigorous development of socialist universities with Chinese characteristics and promoting the all-round growth of students, this research focuses on the innovative countermeasures of ideological and political work in colleges and universities under the network environment from the perspective of ideological and political education. Therefore, the current situation and problems of ideological and political education management in colleges and universities are understood through questionnaire survey and interview. It is learned that 24.09% of students believe that the level of ideological and political education activities in colleges and universities is declining, 32.12% of students do not like the traditional way of ideological and political education, 33.94% of students have a general evaluation of the current ideological and political education management, and 58.03% of students believe that the way of ideological and political education is relatively single. Network psychological education for college students is a kind of educational behavior aimed at the psychological change process of college students in the Internet environment, and it conducts psychological education for college students in terms of cognition, emotion, will, ethics, personality shaping, interpersonal communication, and so on. Based on the above problems, combined with the requirements of ideological and political management and the needs of students, this article puts forward countermeasures from three aspects: management mechanism innovation, team improvement, and adaptation ways. Therefore, the management of ideological and political education in the network era is not a thing overnight, and must be adhered to for a long time. Only by constantly exploring, strengthening research, absorbing the strengths of others, innovating and developing, the ideological and political education management in the network era will increasingly show its strong effectiveness and play a more and more important role in practical work. The lack of network morality and network norms not only affects the ideological and political education but also affects the ideological and moral elements of higher vocational students' quality and physical and mental health.

A Radiomics Model Based on Gd-EOB-DTPA-Enhanced MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma ≤ 5 cm.

Aim: The aim of this study is to establish and validate a radiomics-based model using preoperative Gd-EOB-DTPA-enhanced MRI to predict microvascular invasion (MVI) in patients with hepatocellular carcinoma ≤ 5 cm. Methods: Clinicopathologic and MRI data of 178 patients with solitary hepatocellular carcinoma (HCC) (≤5 cm) were retrospectively collected from a single medical center between May 2017 and November 2020. Patients were randomly assigned into training and test subsets by a ratio of 7:3. Imaging features were extracted from the segmented tumor volume of interest with 1-cm expansion on arterial phase (AP) and hepatobiliary phase (HBP) images. Different models based on the significant clinical risk factors and/or selected imaging features were established and the predictive performance of the models was evaluated. Results: Three radiomics models, the AP_model, the HBP_model, and the AP+HBP_model, were constructed for MVI prediction. Among them, the AP+HBP_model outperformed the other two. When it was combined with a clinical model, consisting of tumor size and alpha-fetoprotein (AFP), the combined model (AP+HBP+Clin_model) showed an area under the curve of 0.90 and 0.70 in the training and test subsets, respectively. Its sensitivity and specificity were 0.91 and 0.76 in the training subset and 0.60 and 0.79 in the test subset, respectively. The calibration curve illustrated that the combined model possessed a good agreement between the predicted and the actual probabilities. Conclusions: The radiomics-based model combining imaging features from the arterial and hepatobiliary phases of Gd-EOB-DTPA-enhanced MRI and clinical risk factors provides an effective and reliable tool for the preoperative prediction of MVI in patients with HCC ≤ 5 cm.

Preoperative Assessment of Abdominal Adipose Tissue to Predict Microvascular Invasion in Small Hepatocellular Carcinoma.

Background and Aims: Microvascular invasion (MVI) affects recurrence after treatment of small hepatocellular carcinoma (sHCC) of ≤3 cm in size. The present study aimed to investigate whether abdominal subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and intermuscular adipose tissue (IMAT) are associated with MVI in patients with sHCC. Methods: A total of 124 patients with pathologically-confirmed sHCC diagnosed on surgical resection at the First Hospital Affiliated to Army Military University were recruited and divided into two groups according to MVI classification criteria (i.e., MVI-positive or MVI-negative). The SAT, VAT, and IMAT areas at the lumbar 3 vertebral level were imaged with abdominal computed tomography and measured using ImageJ software. Their association with MVI in sHCC was analyzed. Results: Of the 124 patients with sHCC, 67 were MVI-positive and 57 were MVI-negative. Univariate analysis revealed a significant difference in the abdominal VAT and SAT between the MVI-positive and MVI-negative groups (p<0.05), with an area under the receiver operating characteristic curve of 0.76 and 0.65, respectively. Conclusions: The results of this study suggest that the areas of abdominal SAT and VAT are of significant clinical value because they can effectively predict the MVI status in patients with sHCC.

Mycobiome detection from a single subterranean gametophyte using metabarcoding techniques.

Premise: Several ferns and lycophytes produce subterranean gametophytes, including the Ophioglossaceae, Psilotaceae, and some members of the Schizaeaceae, Gleicheniaceae, and Lycopodiaceae. Despite the surge in plant-microbiome research, which has been particularly boosted by high-throughput sequencing techniques, the microbiomes of these inconspicuous fern gametophytes have rarely been examined. The subterranean gametophytes are peculiar due to their achlorophyllous nature, which makes them rely on fungi to obtain nutrients. Furthermore, the factors that shape the fungal communities (mycobiomes) of fern gametophytes have not been examined in depth. Methods and Results: We present a workflow to study the mycobiome of the achlorophyllous gametophytes of Ophioderma pendulum using a high-throughput metabarcoding approach. Simultaneously, each gametophyte was investigated microscopically to detect fungal structures. Two primer sets of the nuclear ITS sequence targeting general fungi were applied, in addition to a primer set that specifically targets the nuclear small subunit ribosomal rDNA region of arbuscular mycorrhizal fungi. Both the microscopic and metabarcoding approaches revealed many diverse fungi inhabiting a single gametophyte of O. pendulum. Discussion: This study provides methodological details and discusses precautions for the mycobiome investigation of achlorophyllous gametophytes. This research is also the first to uncover the mycobiome assembly of an achlorophyllous gametophyte of an epiphytic fern.

Screening the Influence of Biomarkers for Metabolic Syndrome in Occupational Population Based on the Lasso Algorithm.

Aim: Metabolic syndrome (MS) screening is essential for the early detection of the occupational population. This study aimed to screen out biomarkers related to MS and establish a risk assessment and prediction model for the routine physical examination of an occupational population. Methods: The least absolute shrinkage and selection operator (Lasso) regression algorithm of machine learning was used to screen biomarkers related to MS. Then, the accuracy of the logistic regression model was further verified based on the Lasso regression algorithm. The areas under the receiving operating characteristic curves were used to evaluate the selection accuracy of biomarkers in identifying MS subjects with risk. The screened biomarkers were used to establish a logistic regression model and calculate the odds ratio (OR) of the corresponding biomarkers. A nomogram risk prediction model was established based on the selected biomarkers, and the consistency index (C-index) and calibration curve were derived. Results: A total of 2,844 occupational workers were included, and 10 biomarkers related to MS were screened. The number of non-MS cases was 2,189 and that of MS was 655. The area under the curve (AUC) value for non-Lasso and Lasso logistic regression was 0.652 and 0.907, respectively. The established risk assessment model revealed that the main risk biomarkers were absolute basophil count (OR: 3.38, CI:1.05-6.85), platelet packed volume (OR: 2.63, CI:2.31-3.79), leukocyte count (OR: 2.01, CI:1.79-2.19), red blood cell count (OR: 1.99, CI:1.80-2.71), and alanine aminotransferase level (OR: 1.53, CI:1.12-1.98). Furthermore, favorable results with C-indexes (0.840) and calibration curves closer to ideal curves indicated the accurate predictive ability of this nomogram. Conclusions: The risk assessment model based on the Lasso logistic regression algorithm helped identify MS with high accuracy in physically examining an occupational population.

[Corrigendum] Effect of Yi Guan Jian decoction on differentiation of bone marrow mesenchymal stem cells into hepatocyte­like cells in dimethylnitrosamine­induced liver cirrhosis in mice.

Following the publication of the above article, an interested reader to the authors' attention that there appeared to be several duplications of data panels featured within Figs. 1­3. After having consulted their original data, the authors have realized that a number of the data panels were inadvertently assembled incorrectly in these figures. The corrected versions of Fig. 1A (showing the correct data for the NC­2W and NC­4W experiments), Fig. 1B (including the correct data for the C­4W, M­2W, NC­2W and NC­4W experiments), Fig. 2 (showing the correct data for the YGD­2W experiment), Fig. 3A (NC­3W data panel corrected), Fig. 3B (HGF­1W and NC­3W data panels corrected) and Fig. 3C (C­4W data panel corrected) are shown on the next four pages. All these corrections were approved by all authors. The authors regret that these errors were not resolved before the publication of the paper, thank the Editor of Molecular Medicine Reports for granting them the opportunity to publish this corrigendum, and apologize to the readership for any inconvenience caused. [the original article was published in Molecular Medicine Reports 15: 613­626, 2017; DOI: 10.3892/mmr.2016.6083].

Study on the effect of education for insulin injection in diabetic patients with new simulation tools.

BACKGROUND: Insulin is an essential therapy for treating diabetes, but many patients lack standard insulin injection skills. PURPOSE: We developed a standard training procedure based on a new simulation tool. Then we conducted a study to investigate the effect of this standard training on the ability of diabetic patients to inject themselves with insulin. METHODS: After follow-up, a total of 120 patients with diabetes mellitus were included. These patients needed insulin therapy depending on their condition and had not previously learned insulin injection. We randomly divided them into the intervention group (60 cases) and the control group (60 cases). The control group was trained on insulin injection before being discharged according to the traditional method, and the intervention group was trained based on an improved simulation tool. All participants were trained as individuals or groups. Finally, we evaluated the learning effects of both groups. RESULTS: The time spent at the training stage in the intervention group was shorter than the control group. We found that after applying simulation devices to mimic operations, the learning time for patients was reduced.The first subcutaneous injection success rate was 73.33% in the intervention group, which was significantly higher than that in the control group by 46.67%. The score of the first subcutaneous injection and pre-discharge score in the test group was significantly higher than that of the control group. One month later, the score for injection skills in the 2 groups was higher than that before discharge, and the score in the trial group was still higher than that in the control group. The incidence of subcutaneous fat hyperplasia in the trial group was lower than that in the control group (3.3% vs 15%, P < .05). Moreover, the incidence of hypoglycemia (16.7% vs. 26.7%) was higher in the control group, but the difference was not statistically significant (P = .184). CONCLUSIONS/IMPLICATIONS FOR PRACTICE: After applying simulation tools plus operating video and guideline as the standard procedure to train diabetic patients on insulin injection, all patients had a good grasp of using the insulin injection technique. This education method is safe, efficient, and worth promoting worldly.

Associations of FKBP4 and FKBP5 gene polymorphisms with disease susceptibility, glucocorticoid efficacy, anxiety, depression, and health-related quality of life in systemic lupus erythematosus patients.

OBJECTIVES: To explore the associations of FKBP4 and FKBP5 gene polymorphisms with disease susceptibility, glucocorticoid (GC) efficacy, anxiety, depression, and health-related quality of life (HRQOL) in systemic lupus erythematosus (SLE) patients. METHODS: All subjects were collected from the First and the Second Affiliated Hospital of Anhui Medical University in Hefei, China, during 2011 to 2015. In the case-control study, 541 SLE patients and 543 controls were recruited. In the follow-up study, 466 patients completed the 12-week follow-up and then were divided into GC-sensitive and GC-insensitive groups. Genotyping was determined using Multiplex SNaPshot technique. Data were analyzed using chi-square test and univariate and multivariate logistic regression analyses. RESULTS: rs4713904, rs9368878, and rs7757037 of FKBP5 were associated with depression in SLE patients (rs4713904, PBH = 0.037; rs9368878, PBH = 0.001; rs7757037, PBH = 0.003). Moreover, rs4713904 was associated with GC efficacy in males with SLE (PBH = 0.011). The rs755658 of FKBP5 was associated with improvement in social function (PBH = 0.022) and mental component summary (PBH = 0.028). The rs4713907 of FKBP5 was related to improvement in total score of SF-36, bodily pain, and mental component summary score (all PBH = 0.018). Furthermore, the rs12582595 of FKBP4 was correlated with general health improvement (PBH = 0.033). No associations were seen between FKBP4/FKBP5 gene polymorphisms and SLE susceptibility and anxiety. CONCLUSIONS: FKBP5 gene polymorphisms may be associated with depression and GC efficacy of SLE patients. Meanwhile, the genetic polymorphisms of FKBP4 and FKBP5 genes may be associated with HRQOL improvement in SLE patients. Key Points • FKBP5 gene polymorphisms were associated with depression of SLE patients. • FKBP5 gene polymorphisms were associated with GC efficacy of SLE patients. • FKBP5 gene polymorphisms were associated with HRQOL improvement in SLE patients. • FKBP4 gene polymorphisms were associated with HRQOL improvement in SLE patients.

Seasonal variation and trends in the Internet searches for losing weight: An infodemiological study.

OBJECTIVES: This study sought to examine the variation trends and seasonality of losing weight by using the data from Google Trends tool. METHODS: According to the search term of [lose weight+weight loss], Google Trends data were obtained. Search activity was conducted within the USA, the UK, Canada, Ireland, Australia, and New Zealand from January 01, 2004, to December 31, 2018, utilizing the health category. RESULTS: Dynamic series analysis and the plot of seasonal decomposition of time series show that relative search volume of [lose weight+weight loss] increased from 2004 to 2018 at both national and hemispherical levels. Statistically significant seasonal variations in relative search volume for the term [lose weight+weight loss] were observed using cosinor analyses in the USA (p<0.001), the UK (p<0.001), Canada (p<0.001), Ireland (p<0.001), Australia (p<0.001), and New Zealand (p<0.001), peaking in the spring months and reaching the lowest level in the autumn months. The highest level in spring and the lowest level in autumn were reversed by 6 months in both hemisphere countries, consistent with a seasonal pattern. CONCLUSION: Our results indicate that Internet search queries for losing weight increased within the timeframe of 2004 to 2018, likely reflecting the rising global public interest. In addition, the present research provided preliminary evidence that there is a seasonality of losing weight with a peak in the spring months.

Hsp70 Gene Polymorphisms Are Associated With Disease Susceptibility and HRQOL Improvement in Chinese Han Population With Systemic Lupus Erythematosus.

OBJECTIVES: The aim of this study is to investigate whether heat shock protein 70 (Hsp70) gene polymorphisms are implicated in systemic lupus erythematous (SLE) susceptibility, the efficacy of glucocorticoids (GCs) treatment, and improvement of health-related quality of life. METHODS: A total of 499 SLE patients and 499 controls were included in a case-control study, and 468 SLE patients treated with GCs for 12 weeks were involved in a follow-up study. Patients who completed the 12-week follow-up were divided into GCs-sensitive and GCs-insensitive group by using the SLE disease activity index. The SF-36 was used to evaluate the health-related quality of life of SLE patients, and genotyping was performed by improved multiplex ligation detection reaction. RESULTS: rs2075800 was associated with SLE susceptibility (adjusted odds ratio [ORadj], 1.437; 95% confidence interval [CI], 1.113-1.855; Padj = 0.005; PBH = 0.020 by dominant model; ORadj, 1.602; 95% CI, 1.072-2.395; Padj = 0.022; PBH = 0.029 by TT vs CC model; ORadj = 1.396; 95% CI = 1.067-1.826; Padj = 0.015; PBH = 0.029 by TC vs CC model). In the follow-up study, rs2075799 was associated with the improvement in mental health (p = 0.004, PBH = 0.044), but we failed to find any association between the efficacy of GCs and Hsp70 gene polymorphisms. CONCLUSIONS: Hsp70 gene polymorphisms may be associated with susceptibility to SLE and improvement of mental health in Chinese Han population.

Indoleamine 2,3-dioxgenase-transfected mesenchymal stem cells suppress heart allograft rejection by increasing the production and activity of dendritic cells and regulatory T cells.

Expression of indoleamine 2,3-dioxygenase (IDO) in mesenchymal stem cells (MSC) is thought to contribute to MSC-mediated immunosuppression. A lentiviral-based transgenic system was used to generate bone marrow stem cells (BMSC) which stably expressed IDO (IDO-BMSCs). Coculture of IDO-BMSCs with dendritic cells (DC) or T cells was used to evaluate the immunomodulatory effect of IDO-BMSCs. A heterotopic heart transplant model in rats was used to evaluate allograft rejection after IDO-BMSC treatment. Mechanisms of IDO-BMSC-mediated immunosuppression were investigated by evaluating levels of proinflammatory and anti-inflammatory cytokines, and production of Tregs. A significant decrease in DC marker-positive cells and a significant increase in Tregs were observed in IDO-BMSC cocultured. Treatment of transplanted rats with IDO-BMSCs was associated with significantly prolonged graft survival. Compared with the control groups, transplanted animals treated with IDO-BMSCs had a (1) significantly higher ejection fraction and fractional shortening, (2) significantly lower expression of CD86, CD80, and MHCII, and significantly higher expression in CD274, and Tregs, and (3) significantly higher levels of interleukin-10 (IL-10), transforming growth factor beta-1 (TGF-ß1), TGF-ß2, and TGF-ß3, and significantly lower levels of IL-2 and interferon gamma. Our results expand our understanding of the molecular mechanisms underlying suppression of heart allograft rejection via IDO-expressing BMSCs.