Effects of particulate matter exposure on the risk of type 2 diabetes: a Mendelian randomization study

OBJECTIVE

The impact of particulate matter (PM) on the risk of type 2 diabetes (T2D) remains inconclusive. The purpose of this study was to assess the causal relationship between PM and T2D using Mendelian randomization (MR) analysis.

MATERIALS AND METHODS

Single nucleotide polymorphisms (SNPs) for PM2.5, PM10, and T2D were obtained from the UK Biobank and FinnGen datasets. Inverse variance weighted, MR-Egger, and weighted median were utilized to examine the causal relationship between exposure and outcome. MR-Egger intercept analysis, Cochran's Q test, and leave-one-out sensitivity analysis were used to assess horizontal pleiotropy, heterogeneity, and robustness of the results, respectively.

RESULTS

The MR analysis revealed a significant association between PM2.5 and increased risk of T2D (OR: 1.159, 95% CI: 1.003 to 1.339, p = 0.045), while no significant association was found between PM10 and T2D risk (OR: 1.031, 95% CI: 0.788 to 1.350, p = 0.822). MR-Egger intercept analysis and Cochran's Q test indicated no evidence of horizontal pleiotropy or heterogeneity in these results. Sensitivity analysis demonstrated the robustness of the results.

CONCLUSIONS

This MR analysis suggests that PM2.5, rather than PM10, is associated with an increased risk of T2D. The use of air purifiers and anti-smog masks may potentially help reduce the risk of T2D. Further research is needed to elucidate the specific effects and underlying mechanisms of PM2.5 and PM10 on T2D.

A Mendelian randomization study of the effect of selenium on autoimmune thyroid disease

OBJECTIVE

The impact of selenium on autoimmune thyroid disease (AITD) is a subject of ongoing debate. This study aimed to analyze the causal correlations of selenium with autoimmune thyroiditis (AIT), autoimmune hyperthyroidism (AIH), and Graves' disease (GD) by Mendelian randomization (MR).

MATERIALS AND METHODS

Single nucleotide polymorphisms related to selenium, AIT, AIH, and GD were sourced from the IEU Open GWAS project and FinnGen. Exposure-outcome causality was assessed using inverse variance weighted, MR-Egger, and weighted median. Horizontal pleiotropy was examined using the MR-Egger intercept, heterogeneity was evaluated with Cochran's Q test, and the robustness of the results was confirmed via leave-one-out sensitivity analysis.

RESULTS

The MR analysis revealed that selenium did not exhibit a causal relationship with AIT (OR 0.993, 95% CI 0.786 to 1.108, p=0.432), AIH (OR 1.066, 95% CI 0.976 to 1.164, p=0.154), or GD (OR 1.052, 95% CI 0.984 to 1.126, p=0.138). Moreover, the MR-Egger intercept and Cochran's Q test demonstrated the absence of horizontal pleiotropy or heterogeneity in these results (p>0.05). Sensitivity analysis affirmed the robustness of these results.

CONCLUSIONS

This MR analysis concluded that selenium was not linked to AIT, AIH, or GD risk. Therefore, indiscriminate selenium supplementation is not advisable for AITD patients without concurrent selenium deficiency.

Is polyethylene glycol loxenatide 100 μg the preferred glucagon-like peptide-1 receptor agonist for type 2 diabetes mellitus? A meta-analysis and trial sequential analysis

OBJECTIVE

This study aimed to systematically evaluate the efficacy, safety and optimal dose of polyethylene glycol loxenatide (PEX168) for treating type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

Clinical trials of PEX168 for T2DM were identified in 8 databases, with a build time limit of January 2023. Included studies were subjected to meta-analysis and trial sequential analysis (TSA).

RESULTS

On the efficacy endpoint, the meta-analysis showed that PEX168 100 μg significantly reduced 0.86% glycated hemoglobin type A1c (HbA1c) (MD -0.86, 95% CI -1.02 - -0.70,  p<0.00001), 1.11 mmol/L fasting plasma glucose (FPG) (MD -1.11, 95% CI -1.49 - -0.74, p<0.00001) and 1.91 mmol/L 2h postprandial glucose (PPG) (MD -1.91, 95% CI -3.35 - -0.46, p=0.01) compared with placebo. The TSA showed that all these benefits were conclusive. On safety endpoints, total adverse events (AEs), gastrointestinal (GI) AEs, serious AEs, and hypoglycemia were comparable to placebo for PEX168 100 μg (p>0.05). In the dose comparison, the HbA1c, FPG, and 2h PPG of PEX168 200 μg were comparable to 100 μg (p>0.05), while GI AEs were significantly higher than 100 μg (RR=2.84, 95% CI 1.64-4.93,  p=0.0002).

CONCLUSIONS

PEX168 100 μg can significantly lower blood glucose and does not increase the risk of total AEs, GI AEs, and hypoglycemia, which may be a preferred glucagon-like peptide-1 receptor agonist for type 2 diabetes mellitus.

Bibliometric analysis of intestinal microbiota in diabetic nephropathy

OBJECTIVE

The purpose of this study is to use bibliometrics to explore the research overview and research hotspots.

MATERIALS AND METHODS

The relevant literature on intestinal flora and diabetic nephropathy in the Web of Science Core Collection was sorted out, and VOSviewer, CiteSpace, Scimago Graphica and other software were used to conduct data visualization analysis on the number of publications, countries, institutions, journals, authors, keywords and citations.

RESULTS

A total of 124 relevant literatures were included. From 2015 to 2022, the number of published papers increased every year. The countries, institutions and journals that published the most articles in this field are China, Isfahan University Medical Science and Frontiers in Pharmacology. Liu Bicheng and Mirlohi Maryam are the authors with the most published articles in this field. The main keywords of research in this field are obesity, inflammation, oxidative stress, indoxyl sulfate, short-chain fatty acids (SCFAs) and Chinese herbal medicine.

CONCLUSIONS

This is the first bibliometric analysis of diabetic nephropathy and gut microbiota, reporting hot spots and emerging trends. Obesity, inflammation, oxidative stress, indoxyl sulfate, SCFAs and Chinese herbal medicine are the main keywords of current research, and SCFAs and Chinese herbal medicine may be the hotspots of future research.

Efficacy and safety of iguratimod combined with methylprednisolone for primary Sjögren's syndrome: a meta-analysis and trial sequential analysis

OBJECTIVE

The purpose of this study is to evaluate the combination of iguratimod (IGU) and methylprednisolone (MP) for the efficacy and safety of primary Sjögren's syndrome (pSS) by a meta-analysis and a trial sequential analysis (TSA).

MATERIALS AND METHODS

Clinical studies of IGU combined with MP for pSS were searched through eight databases. Revman 5.3 and TSA 0.9.5.10 Beta were used for the meta-analysis and TSA.

RESULTS

In terms of efficacy endpoints, compared with "HCQ+MP" group, "IGU+MP" group decreased erythrocyte sedimentation rate (ESR) [mean difference (MD)=-5.15, 95% confidence interval (CI)=(-7.37, -2.93), p<0.0001], immunoglobulin G (IgG) [MD=-3.38, 95% CI=(-4.13, -2.64), p<0.00001], immunoglobulin M (IgM) [MD=-0.64, 95% CI=(-1.19, -0.09), p=0.02], Immunoglobulin A (IgA) [MD=-1.16, 95% CI=(-1.92, -0.39), p=0.003], EULAR Sjögren's Syndrome Disease Activity Index (ESSDAI) [MD=-1.62, 95% CI=(-2.07, -1.17), p<0.0001], EULAR Sjögren's Syndrome Patient Reported Index (ESSPRI) [MD=-2.07, 95% CI=(-2.54, -1.59), p<0.0001], increase platelet (PLT) [MD=13.21, 95% CI=(9.77,16.65), p<0.00001], and improve Schirmer I test (SIT) [MD=1.86, 95% CI=(1.40, 2.32), p<0.0001]. TSA presented that these benefits observed with the current information volume were all conclusive, except for IgM. In terms of safety endpoints, the total adverse event rates (AEs), leucopenia, gastrointestinal (GI) AEs, skin diseases, and liver dysfunction of the "IGU+MP" group and the "HCQ+MP" group were comparable. And TSA indicated that the results need to be confirmed by additional studies. Harbord regression showed no publication bias (p=0.986).

CONCLUSIONS

IGU combined with MP effectively attenuates autoimmune responses (IgG, IgM, IgA), reduces clinical symptoms and disease activity (ESR, PLT, ESSPRI, ESSDAI), and improves the exocrine gland functional status (SIT) in patients with pSS. IGU combined with MP does not increase the risk of adverse events, which means that IGU combined with MP may be a safe and effective strategy for the treatment of pSS and has value for further research exploration.

Is tirzepatide 15 mg the preferred treatment strategy for type 2 diabetes? A meta-analysis and trial-sequence-analysis

OBJECTIVE

The study aims to evaluate tirzepatide's efficacy and safety in treating type 2 diabetes by meta-analysis and trial-sequential-analysis (TSA).

MATERIALS AND METHODS

Eight databases were searched for clinical trials on tirzepatide for type 2 diabetes with a time limit of November 2022. Revman5.3 and TSA 0.9.5.10 Beta were selected for meta-analysis and TSA.

RESULTS

Compared with placebo, the meta-analysis demonstrated that tirzepatide 15 mg reduced hemoglobin-type-A1C (HbA1c) (p<0.00001), fasting-serum-glucose (FSG) (p<0.00001), and weight (p<0.00001). Compared with insulin, tirzepatide 15 mg reduced HbA1c (p<0.00001), FSG (p<0.00007), and weight (p<0.00001). Compared with glucagon-like-peptide-1 receptor-agonist (GLP-1 RA), tirzepatide 15 mg reduced HbA1c (p=0.00004), FSG (p=0.001), and weight (p<0.00001). In safety endpoints, the meta-analysis revealed that adverse events (AEs) of placebo, insulin and GLP-1 RA were comparable to tirzepatide 15 mg. The total AEs (p=0.02) and gastrointestinal (GI) AEs (p=0.03) were higher in tirzepatide 15 mg than in the placebo, while hypoglycemia (<54 mg/dl) was comparable. The major adverse cardiovascular events-4 (MACE-4) (p=0.03) and hypoglycemia (<54 mg/dl) (p<0.00001) of tirzepatide 15 mg were lower when compared to insulin, while total AEs (p=0.03) were increased. Compared with GLP-1 RA, tirzepatide 15 mg was comparable in safety endpoints in total AEs and GI AEs, while hypoglycemia (<54 mg/dl) (p=0.04) was higher. TSA indicated that HgA1c, FSG, and weight benefits were conclusive. In safety endpoints, only MACE-4 and hypoglycemia (<54 mg/dl) of Tirzepatide 15 mg vs. Insulin were conclusive. Harbord regression of AEs suggested no evident publication bias (p=0.618).

CONCLUSIONS

Tirzepatide 15 mg reduced HbA1c and weight more effectively than placebo, insulin, and GLP-1 RA. Total AEs were higher than placebo and insulin but comparable to GLP-1 RA. Tirzepatide 15 mg is a kind of optimal strategy to treat type 2 diabetes. However, there is a need to focus on GI AEs.

[Importance of comprehensive management of anastomotic site after ultra-low anal sphincter-preservation surgery]

Intersphincteric resection (ISR) surgery increases the rate of anal sphincter preservation in patients with ultra-low rectal cancers. However, the anastomotic site of ISR surgery is at risk for structural healing complications such as anastomotic leakage, anastomotic dehiscence, secondary anastomotic stenosis, chronic presacral sinus, rectovaginal fistula, and rectourethral fistula, which can lead to a persistent defunctioning ostomy or a secondary permanent colostomy. This article systematically describes the preoperative high-risk factors and characteristics of anastomotic site structural healing complications after ISR surgery, as well as the management of the anastomotic site during various stages including hospitalization, from discharge to one month after surgery, from one month after surgery to before stoma reversal, and after stoma reversal. This is to provide a clearer understanding of the risks associated with the anastomotic site at different stages of the healing process and to timely detect and actively manage related complications, thereby reducing the rate of permanent colostomy and truly achieving the dual goals of "survival benefit" and "quality of life improvement" in ISR surgery.

[Laparoscopic versus open pelvic exenteration for locally advanced rectal cancer: analysis of short- and long-term effects]

Objective: To explore the feasibility, safety, and short- and long-term efficacy of laparoscopic pelvic exenteration (LPE) in treating locally advanced rectal cancer. Methods: The clinical data of 173 patients who had undergone pelvic exenteration (PE) for locally advanced rectal cancer that had been shown by preoperative imaging or intraoperative exploration to have invaded beyond the mesorectal excision plane and adjacent organs in the Cancer Hospital, Chinese Academy of Medical Sciences (n=64) and Peking University First Hospital (n=109) from 2010 January to 2021 December were collected retrospectively. Laparoscopic PE (LPE) had been performed on 82 of these patients and open PE (OPE) on 91. Short- and long-term outcomes (1-, 3-, and 5-year overall and disease-free survival and 1- and 3-year cumulative local recurrence rates) were compared between these groups. Results: The only statistically significant difference in baseline data between the two groups (P>0.05) was administration of neoadjuvant therapy. Compared with OPE, LPE had a significantly shorter operative time (319.3±129.3 minutes versus 417.3±155.0 minutes, t=4.531, P<0.001) and less intraoperative blood loss (175 [20-2000] ml vs. 500 [20-4500] ml, U=2206.500, P<0.001). The R0 resection rates were 98.8% and 94.5%, respectively (χ²=2.355, P=0.214). At 18.3% (15/82), and the incidence of perioperative complications was lower in the LPE group than in the OPE group (37.4% [34/91], χ²=7.727, P=0.005). The rates of surgical site infection were 7.3% (6/82) and 23.1% (21/91) in the LPE and OPE group, respectively (χ²=8.134, P=0.004). The rates of abdominal wound infection were 0 and 12.1% (11/91) (χ²=10.585, P=0.001), respectively, and of urinary tract infection 0 and 6.6% (6/91) (χ²=5.601, P=0.030), respectively. Postoperative hospital stay was shorter in the LPE than OPE group (12 [4-60] days vs. 15 [7-87] days, U=2498.000, P<0.001). The median follow-up time was 40 (2-88) months in the LPE group and 59 (1-130) months in the OPE group. The 1-, 3-, and 5-year overall survival rates were 91.3%, 76.0%, and 62.5%, respectively, in the LPE group, and 91.2%, 68.9%, and 57.6%, respectively, in the OPE group. The 1, 3, and 5-year disease-free survival rates were 82.8%, 64.9%, and 59.7%, respectively, in the LPE group and 76.9%, 57.8%, and 52.7%, respectively, in the OPE group. The 1- and 3-year cumulative local recurrence rates were 5.1% and 14.1%, respectively, in the LPE group and 8.0% and 15.1%, respectively, in the OPE group (both P>0.05). Conclusions: In locally advanced rectal cancer patients, LPE is associated with shorter operative time, less intraoperative blood loss, fewer perioperative complications, and shorter hospital stay compared with OPE. It is safe and feasible without compromising oncological effect.

Establishment of a schizophrenia classifier based on peripheral blood signatures and investigation of pathogenic miRNA-mRNA regulation

To date, the diagnosis of schizophrenia (SCZ) mainly relies on patients' or guardians' self-reports and clinical observation, and the pathogenesis of SCZ remains elusive. In this study, we sought to develop a reliable classifier for diagnosing SCZ patients and provide clues to the etiology and pathogenesis of SCZ. Based on the high throughput sequencing analysis of peripheral blood miRNA expression profile and weighted gene co-expression network analysis (WGCNA) in our previous study, we selected eleven hub miRNAs for validation by qRT-PCR in 51 SCZ patients and 51 controls. miR-939-5p, miR-4732-3p let-7d-3p, and miR-142-3p were confirmed to be significantly up-regulated, and miR-30e-3p and miR-23a-3p were down-regulated in SCZ patients. miR-30e-3p with the most considerable fold change and statistically significance was selected for targeting validation. We first performed bioinformatics prediction followed by qRT-PCR and verified the up-regulation of potential target mRNAs (ABI1, NMT1, HMGB1) expression. Next, we found that the expression level of ABI1 was significantly up-regulated in SH-SY5Y cells transfected with miR-30e-3p mimics. Lastly, we conducted a luciferase assay in 293T cells confirming that miR-30e-3p could directly bind with the 3'untranslated region (3'-UTR) of ABI1, revealing that miR-30e-3p might play a role in the polymerization of neuronal actin and the reconstruction of the cytoskeleton via the downstream regulation of ABI1. In addition, we constructed a classifier by a series of bioinformatics algorithms and evaluated its diagnostic performance. It appears that the classifier consists of miRNAs and mRNAs possess a better discrimination performance than individual miRNA or mRNA in SCZ.

Protective role of antioxidant supplementation for depression and anxiety: A meta-analysis of randomized clinical trials

BACKGROUND

New research supports an integrated approach to treating depression, and lifestyle modifications should be a regular component of both preventative and treatment programs. Therefore, in order to investigate the relationship between various antioxidant supplements and depressive status, we carried out a meta-analysis of randomized controlled trials (RCT).

METHODS

We thoroughly searched PubMed, Medline, Scopus, and Web of Science databases to screen publications focusing on the effects of antioxidant supplements on depression status. The meta-analysis mainly compared depression scores between groups that received antioxidant supplements and controls. We also pooled studies reporting changes in anxiety status as a secondary outcome.

RESULTS

52 studies with 4049 participants were eventually identified. The meta-analysis found that the positive effect of antioxidant supplementation, such as magnesium (SMD = 0.16, p = 0.03), zinc (SMD = 0.59, p = 0.01), selenium (SMD = 0.33, p = 0.009), CoQ10 (SMD = 0.97, p = 0.05), tea and coffee (SMD = 1.15, p = 0.001) and crocin (MD = 6.04, p < 0.00001), on depressive status were all significant. And antioxidant supplementation also showed significant improvement in anxiety (SMD = 0.40, p < 0.00001). Subgroup analysis by scale types and countries were performed, and antioxidant supplementation's positive effects on depressive and anxiety states remained significant.

LIMITATIONS

This study did not limit the characteristics of the included population, and the diversity of scales also contributed to the heterogeneity.

CONCLUSION

Intake of antioxidant supplements is associated with improved depression and anxiety states, further affirms the therapeutic potential of antioxidant supplements as adjunctive therapy to conventional antidepressants.

Identification of ovarian endometriotic cysts in cystic lesions of the ovary by amide proton transfer-weighted imaging and R2∗ mapping

AIM

To investigate the value of amide proton transfer weighted (APTw) imaging and R2∗ mapping of cystic fluid in differentiating ovarian endometriotic cysts (OE) from other ovarian cystic (OOC) lesions.

MATERIALS AND METHODS

A total of 42 patients who underwent 3 T pelvic magnetic resonance imaging (MRI) were enrolled. Nineteen lesions were OE and 27 lesions were OOC. The APTw imaging and R2∗ values of the cystic fluid were measured and compared between the two groups using the independent sample t-test or Mann-Whitney U-test. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of different parameters. The area under ROC curves (AUCs) was compared using the Delong test. Spearman's correlation analysis was used to assess the correlation between APTw imaging and R2∗ values.

RESULTS

APTw imaging values of OE were lower, while R2∗ values were higher in OE than those in OOC (p=0.001 and < 0.001). The AUCs of APTw imaging and R2∗ values to identify OE from OOC were 0.910 and 0.975. The AUC increased to 0.990 when combining APTw imaging and R2∗ values, yet without a significant difference to the APTw imaging or R2∗ value alone (p=0.229 and 0.082, respectively). APTw imaging values were negatively correlated with R2∗ values (r=-0.522, p<0.001).

CONCLUSION

Both APTw imaging and R2∗ values of OE are significantly different from other ovarian cystic lesions. APTw imaging combined with R2∗ values show excellent diagnostic efficacy to differentiate between OE and OOC.

Effect of Chemotherapy in Stage II-IV Large Cell Lung Carcinoma and Construction of its Predictive Nomograms: A SEER Analysis

OBJECTIVES

Large cell lung carcinoma (LCLC) is generally poorly differentiated with a poor prognosis. This study aimed to explore the impact of chemotherapy on the prognosis of patients with stage Ⅱ-Ⅳ LCLC and to construct nomograms to predict overall survival (OS) and cancer-specific survival (CSS).

METHODS

Propensity score matching (PSM) analysis was used to balance the effects of baseline characteristics. The Kaplan-Meier method was used to analyze the prognostic impact of chemotherapy on LCLC patients. Cox regression analysis was used to identify prognostic risk factors, and then nomograms were constructed and validated.

RESULTS

Overall, we identified 2532 patients with LCLC from the Surveillance, Epidemiology, and End Results (SEER) database. The chemotherapy group showed better OS and CSS compared to the non-/unknown chemotherapy group for stage II-IV LCLC patients (p < 0.05). Two nomograms were plotted based on the results of Cox regression analysis. The areas under the curves (AUCs) of 1-, 3-, and 5- years OS were 0.786, 0.824, and 0.837, and the AUCs of CSS were 0.785, 0.821, and 0.836. The calibration curves showed excellent agreement between the prediction and the actual observation, and the decision curve analysis (DCA) demonstrated good clinical utility.

CONCLUSIONS

Chemotherapy could improve the prognosis among stage II-IV LCLC patients. In addition, the nomograms showed good predictive ability, which could be useful in making clinical decisions.

[Risk factor and nomogram for predicting the probability of a permanent stoma after laparoscopic intersphincteric resection for ultralow rectal cancer]

Objective: A permanent stoma can seriously affect patients' quality of life. Clinicians need to consider the risk of a permanent stoma when making clinical decisions. This study analyzed preoperative predictors of a permanent stoma after laparoscopic intersphincteric resection for low rectal cancer (LISR), and a prediction model was constructed validated. Methods: This was a retrospective study that analyzed clinical data of 331 ultralow rectal cancer patients who were diagnosed with primary rectal adenocarcinoma by endoscopy and pathology, including 218 males and 113 female, (58.8±11.2) years and (23.7±3.1) kg/m². The patients underwent LISR with a preventive stoma from January 2012 to December 2020. Patients with multiple primary colorectal cancers, who underwent emergency surgery for intestinal obstruction or bleeding or perforation, and did not complete 18 months follow up were exclucled. R software was used to randomly select 234 patients as the modeling group with a ratio of approximately 7:3, and the remaining 97 patients comprised the validation group. The stoma site was determined by the surgeon before the operation, and the ileum 30 cm from the ileocecal valve was selected. The rates of a permanent stoma for the entire group and the preoperative clinical factors that may affect the permanency of a stoma in the modeling group were determined. A permanent stoma was defined as failure to close the stoma at 18 months after surgery. Multivariate logistic regression analysis was used to analyze the preoperative independent risk factors for a permanent stoma after LISR. R software was used to create the nomogram model, and the predictive ability of the nomogram model was evaluated by receiver operating characteristic (ROC) curve analysis. Results: Among the 331 patients who underwent LISR, 37 (26 cases in the modeling group and 11 cases in the validation group, 11.2%) developed a permanent stoma for the following reasons: anastomotic stenosis due to leakage (16 cases, 43.2%), distant metastasis (16 cases, 43.2%), intolerant to stoma closure surgery (3 cases, 8.1%), stenosis due to postoperative radiation (1 case, 2.7%), and poor recovery of anorectal function (1 case, 2.7%). Univariate analysis showed that preoperative neoadjuvant chemoradiotherapy, poorly differentiated tumor, cT3 stage, and distant metastasis were associated with a permanent stoma. Multivariate logistic regression analysis showed that neoadjuvant chemoradiotherapy [OR=3.078, 95% confidence interval (CI): 1.326-7.147; P=0.009], cT3 stage (OR=2.257, 95%CI: 1.001-5.091; P=0.049), and stage IV cancer (OR=16.180, 95%CI: 2.753-95.102; P=0.002) were independent risk factors for permanent stoma after LISR. Based on the selected risk factors, a nomogram model for predicting permanent stoma was constructed. The area under the ROC curve of the modeling group was 0.793, the optimal cut-off value was 0.890, the sensitivity was 0.577, and the specificity was 0.885. The area under the ROC curve of the validation group was 0.953. The corrected curves of the modeling group and the validation group showed a good degree of fit. Conclusion: Neoadjuvant chemoradiotherapy, cT3 stage, and distant metastasis are independent predictors of a permanent stoma after LISR, and the nomogram model is helpful to predict the probability of a permanent stoma. Patients with high-risk factors should be adequately informed of the risk of a permanent stoma before colorectal surgery.

Long-term effects of antipsychotics on mortality in patients with schizophrenia: a systematic review and meta-analysis

OBJECTIVE

To gather current evidence on the impact of antipsychotics on long-term mortality in patients with schizophrenia.

METHODS

We systematically searched for articles in Embase, PubMed, and PsycINFO reporting the long-term mortality (follow-up > 1 year) of patients with schizophrenia who were using any antipsychotics. We then conducted multiple meta-analyses to determine differences in long-term mortality between different types of antipsychotics.

RESULTS

We identified 45 articles that provided unadjusted long-term mortality rates, including 46,171 deaths during 2,394,911 person-years. The pooled mortality rate was 9.9 (95%CI = 7.4-12.7) per 1,000 person-years. The unadjusted crude mortality rate of antipsychotic drug users was lower than that of non-users (risk ratio [RR] = 0.546, 95%CI = 0.480-0.621), first-generation antipsychotics caused higher all-cause mortality than second-generation antipsychotics (RR = 1.485, 95%CI = 1.361-1.620), and polypharmacy had better effects than monotherapy on long-term mortality (RR = 0.796, 95%CI = 0.689-0.921). As for the causes of death, heart disease and cardiovascular disease ranked highest among cause-specific mortality (5.6 per 1,000 person-years).

CONCLUSION

Since antipsychotics had a beneficial effect on long-term mortality in schizophrenia, greater precaution should be taken with patients who do not take them. However, since disease severity, comorbidities, and other confounding factors cannot be fully controlled, further research and verification are needed.

Identification of potential biomarkers and their correlation with immune infiltration cells in schizophrenia using combinative bioinformatics strategy

Many studies have identified changes in gene expression in brains of schizophrenia patients and their altered molecular processes, but the findings in different datasets were inconsistent and diverse. Here we performed the most comprehensive analysis of gene expression patterns to explore the underlying mechanisms and the potential biomarkers for early diagnosis in schizophrenia. We focused on 10 gene expression datasets in post-mortem human brain samples of schizophrenia downloaded from gene expression omnibus (GEO) database using the integrated bioinformatics analyses including robust rank aggregation (RRA) algorithm, Weighted gene co-expression network analysis (WGCNA) and CIBERSORT. Machine learning algorithm was used to construct the risk prediction model for early diagnosis of schizophrenia. We identified 15 key genes (SLC1A3, AQP4, GJA1, ALDH1L1, SOX9, SLC4A4, EGR1, NOTCH2, PVALB, ID4, ABCG2, METTL7A, ARC, F3 and EMX2) in schizophrenia by performing multiple bioinformatics analysis algorithms. Moreover, the interesting part of the study is that there is a correlation between the expression of hub genes and the immune infiltrating cells estimated by CIBERSORT. Besides, the risk prediction model was constructed by using both these genes and the immune cells with a high accuracy of 0.83 in the training set, and achieved a high AUC of 0.77 for the test set. Our study identified several potential biomarkers for diagnosis of SCZ based on multiple bioinformatics algorithms, and the constructed risk prediction model using these biomarkers achieved high accuracy. The results provide evidence for an improved understanding of the molecular mechanism of schizophrenia.

[Research progress of micronucleus visualization analysis and artificial intelligence detection strategy]

The micronucleomics test can comprehensively display a variety of harmful endpoints, such as DNA damage and repair, chromosome breakage or loss and cell growth inhibition, with fast, simple and economical feature. Micronucleomics is not only widely used in the comprehensive assessment of the types and modes of genetic action of exogenous chemicals (such as drugs, food additives, cosmetics, environmental pollutants, etc.), but also plays an important role in the screening and risk assessment of cancer population at high risk. However, the traditional micronucleomics image counting method has the characteristics of time-consuming, low accuracy, and high cost, which cannot meet the current analysis requirements of large-scale, multi-index, rapidity, high precision and visualization. In recent years, with the rapid development of the era of precision medicine based on big data, visualized analysis of new micronucleomics based on machine learning and detection strategies based on deep learning have shown a good application prospect. This review, based on the application value of micronucleomics, systematically compares the traditional and new artificial intelligence counting of micronucleus images, and discusses the future direction of micronucleus image detection.

Identification of potential blood biomarkers for early diagnosis of schizophrenia through RNA sequencing analysis

Schizophrenia (SCZ) is a highly heritable, polygenic complex mental disorder with imprecise diagnostic boundaries. Finding sensitive and specific novel biomarkers to improve the biological homogeneity of SCZ diagnosis is still one of the research hotspots. To identify the blood specific diagnostic biomarkers of SCZ, we performed RNA sequencing (RNA-seq) on 30 peripheral blood samples from 15 first-episode drug-naïve SCZ patients and 15 healthy controls (CTL). By performing multiple bioinformatics analysis algorithms based on RNA-seq data and microarray datasets, including differential expression genes (DEGs) analysis, WGCNA and CIBERSORT, we first identified 6 specific key genes (TOMM7, SNRPG, KRT1, AQP10, TMEM14B and CLEC12A) in SCZ. Moreover, we found that the proportions of lymphocyte, monocyte and neutrophils were significantly distinct in SCZ patients with CTL samples. Therefore, combining various features including age, sex and the novel blood biomarkers, we constructed the risk prediction model with three classifiers (RF: Random Forest; SVM: support vector machine; DT: decision tree) through repeated k-fold cross validation ensuring better generalizability. Finest result of Area under Receiver Operating Characteristic (AUROC) score of 0.91 was achieved by RF classifier and with a comparable good performance of AUROC 0.77 in external validation dataset. A lower AUROC of 0.63 was demonstrated when it was further applied to a Bipolar disorder (BPD) cohort. In conclusion, the study identified three peripheral core immunocytes and six key genes associated with the occurrence of SCZ, and further studies are required to test and validate these novel biomarkers for early diagnosis and treatment of SCZ.

Establishment of prediction models for COVID-19 patients in different age groups based on Random Forest algorithm

BACKGROUND

Coronavirus disease 2019 (COVID-19) has rapidly become a global pandemic. Age is an independent factor in death from the disease, and predictive models to stratify patients according to their mortality risk are needed.

AIM

To compare the laboratory parameters of the younger (≤70) and the elderly (>70) groups, and develop death prediction models for the two groups according to age stratification.

DESIGN

A retrospective, single-center observational study.

METHODS

This study included 437 hospitalized patients with laboratory-confirmed COVID-19 from Tongji Hospital in Wuhan, China, 2020. Epidemiological information, laboratory data and outcomes were extracted from electronic medical records and compared between elderly patients and younger patients. First, recursive feature elimination (RFE) was used to select the optimal subset. Then, two random forest (RF) algorithms models were built to predict the prognoses of COVID-19 patients and identify the optimal diagnostic predictors for patients' clinical prognoses.

RESULTS

Comparisons of the laboratory data of the two age groups revealed many different laboratory indicators. RFE was used to select the optimal subset for analysis, from which 11 variables were screened out for the two groups. The RF algorithm were built to predict the prognoses of COVID-19 patients based on the best subset, and the area under ROC curve (AUC) of the two groups is 0.874 (95% CI: 0.833-0.915) and 0.842 (95% CI: 0.765-0.920).

CONCLUSION

Two prediction models for COVID-19 were developed in the patients with COVID-19 based on random forest algorithm, which provides a simple tool for the early prediction of COVID-19 mortality.

[Controversy and prospect of transanal total mesorectal excision]

As a novel surgical technique, taTME has developed rapidly in recent years. TaTME inevitably attracts some skepticism on safety, efficacy, and indication. First, the controversies over taTME are mainly reflected on the safety and effectiveness of taTME. On one hand, the increase of surgical complications, such as urethral injury, CO2 embolism, anastomotic leakage and pelvic infection, has raised concerns about the safety of taTME. Second, the poor quality of taTME specimens, the increased local recurrence rate and the impaired anal function after taTME, also make people question the effectiveness of taTME. Third, there are more or less controversies in the selection of taTME cases, surgical procedures and cost-effectiveness. However, it can not be denied that taTME has a promising future in view of both surgical theory and clinical practice. Furthermore, taTME is a relatively safe and effective supplementary surgical procedure, especially for patients with low rectal cancer. We should attach more importance to structured training for beginners and conduct high-quality clinical studies in the future development of taTME in China, so as to ensure the safe implementation of taTME and obtain high-level evidence-based medicine evidence, and then standardize the clinical practice of taTME.

Notoginsenoside R1 protects hypoxia-reoxygenation deprivation-induced injury by upregulation of miR-132 in H9c2 cells

BACKGROUND

Myocardial ischemia/reperfusion injury (IRI) is a common perioperative complication of heart and great vessels surgery, aggravating the original myocardial damage and seriously affecting the postoperative recovery of cardiac function. The aim of this study was to reveal the functional effects and potential mechanisms of notoginsenoside R1 (NG-R1) in myocardial cells injured by hypoxia-reoxygenation (H/R).

METHODS

The rat cardiomyocyte line H9c2 was subjected to H/R with or without NG-R1 treatment. The levels of miR-132 and HBEGF in the cell were altered by microRNA or short-hairpin RNA transfection. Cell viability, apoptosis, lactate dehydrogenase (LDH) and malondialdehyde (MDA) were monitored. Dual luciferin was used to detect the relationship between miR-132 and HBEGF.

RESULTS

NG-R1 (20 μM) had no impact on H9c2 cells, but cell viability was significantly reduced at 80 μM. NG-R1 (20 μM) protected H9c2 cells against H/R-induced cell damage, accompanied by increased cell viability, reduced cell apoptosis, and downregulation of LDH and MDA. Furthermore, the level of miR-132 was decreased in response to H/R exposure but then increased after NG-R1 treatment. When miR-132 was overexpressed, H/R-induced cell damage could be recovered. Downregulation of miR-132 limited the protective effect of NG-R1 on H/R damage. We also found that HBEGF was a direct target of miR-132. The expression of HBEGF was increased upon H/R damage, and this increase was reversed after NG-R1 treatment.

CONCLUSIONS

This study demonstrated that NG-R1 markedly protected H9c2 cells against H/R-induced damage via upregulation of miR-132 and downregulation of its target protein HBEGF.

Long noncoding RNA SNHG14 promotes malignancy of prostate cancer by regulating with miR-5590-3p/YY1 axis

OBJECTIVE

Studies have demonstrated that long non-coding RNAs (lncRNAs) are important in the development and prognosis of prostate cancer. The aim of this study was to investigate the functions and mechanism of lnc-SNHG14 in prostate cancer.

PATIENTS AND METHODS

Quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) or Western blot (WB) were performed to detect mRNA expressions of SNHG14 and miR-5590-3p, and the protein levels of Yin Yang-1 (YY1) in prostate cancer tissues, adjacent tissues, and cancer cell lines. The correlation analysis was used to analyze the correlations between SNHG14, miR-5590-3p, and YY1. Kaplan-Meier survival analysis was used to analyze the overall survival for prostate cancer patients. Cell Counting Kit-8 (CCK-8) assay was performed to measure cell proliferation ability and flow cytometry assay was used to detect cell apoptotic rate. Besides, transwell assay was used to measure cell invasion ability. In addition, WB was performed to measure protein expressions in prostate cancer cell lines. Finally, Luciferase reporter assay was performed to verify the binding sites between SNHG14 and miR-5590-3p, miR-5590-3p, and YY1.

RESULTS

The results showed that SNHG14 was significantly increased in prostate cancer tissues and prostate cancer cell lines, which were related with advanced stage and poor diagnosis for prostate cancer patients. MiR-5590-3p was reduced in prostate cancer tissues and cell lines, which were negatively correlated with SNHG14. YY1 was found to be increased in prostate cancer tissues, which was negatively correlated with miR-5590-3p and positively correlated with SNHG14. Furthermore, SNHG14 knockdown inhibited cell proliferation, invasion, and promoted cell apoptosis in DU145 cells. In addition, protein expressions of Cyclin D1, Bcl-2, and N-cadherin were repressed, and the levels of Bax, Cleaved Caspase-3, and E-cadherin were increased. Besides, miR-5590-3p inhibition promoted cell proliferation and invasion, and inhibited apoptosis in DU145 cells. Importantly, Luciferase reporter assay proved that SNHG14 could directly sponge with miR-5590-3p, which could bind with YY1 and regulate the functions of cancer cell. Finally, we proved that SNHG14 regulated cell proliferation, cell apoptosis, and invasion via miR-5590-3p/ YY1 axis in prostate cancer.

CONCLUSIONS

Above all, we found that SNHG14 was increased in prostate cancer patients, which was related with future diagnosis for prostate cancer patients. Of note, we discovered that SNHG14 could promote cell proliferation, invasion, and repress cell apoptosis via miR-5590-3p/YY1 axis in prostate cancer, which might provide a new target for treating prostate cancer.

Intercellular bridges coordinate the transition from pluripotency to meiosis in mouse fetal oocytes

Meiosis is critical to generating oocytes and ensuring female fertility; however, the mechanisms regulating the switch from mitotic primordial germ cells to meiotic germ cells are poorly understood. Here, we implicate intercellular bridges (ICBs) in this state transition. We used three-dimensional in toto imaging to map meiotic initiation in the mouse fetal ovary and revealed a radial geometry of this transition that precedes the established anterior-posterior wave. Our studies reveal that appropriate timing of meiotic entry across the ovary and coordination of mitotic-meiotic transition within a cyst depend on the ICB component Tex14, which we show is required for functional cytoplasmic sharing. We find that Tex14 mutants more rapidly attenuate the pluripotency transcript Dppa3 upon meiotic initiation, and Dppa3 mutants undergo premature meiosis similar to Tex14 Together, these results lead to a model that ICBs coordinate and buffer the transition from pluripotency to meiosis through dilution of regulatory factors.

[Study of thermal injury effects on human HaCaT cells under simulated microgravity environment]

Objective: To investigate the thermal injury effects on human HaCaT cells under simulated microgravity environment. Methods: The human HaCaT cells were collected and divided into simulated microgravity thermal injury (SMGTI) group, normal gravity thermal injury (NGTI) group, and normal gravity false injury (NGFI) group according to the random number table. Cells in NGTI and NGFI groups were cultured routinely in culture bottle, and cells in SMGTI group were cultured in the rotary cell culture system to simulate microgravity environment. Cells in SMGTI and NGTI groups were bathed in hot water of 45 ℃ for 10 minutes to make thermal injury model, and cells in NGFI group were bathed in warm water of 37 ℃ for 10 minutes to simulate thermal injury. At post injury hour (PIH) 12, cell morphology of 3 groups was observed under inverted phase contrast electron microscope. At PIH 2, 6, and 12, single cell suspension in the 3 groups was collected to detect the cell cycle by flow cytometer and the mRNA expressions of heat shock protein 70 (HSP70), matrix metalloproteinase 9 (MMP-9), and cysteine-aspartic protease 3 (caspase-3) by real time fluorescence quantitative reverse transcription polymerase chain reaction, and the experiments were repeated for 3 times. At PIH 2, 6, and 12, cell culture supernatant in the 3 groups was collected to detect the concentration of heparin-binding epidermal growth factor (HB-EGF) by enzyme linked immunosorbent assay method, the experiment was repeated for 3 times. The sample in each group and each time point was 3. Data were statistically analyzed with analysis of variance for factorial design, one-way analysis of variance, least significant difference test, Kruskal-Wallis H test, and Mann-Whitney U test. Results: (1) At PIH 12, cells in NGFI group showed regular shape and regular arrangement, with no cell debris. The cell shape in NGTI group was generally regular, with fewer cell debris and closer arrangement than that in NGFI group. The cells in SMGTI group showed more irregular shapes, different sizes, and dead cell debris. (2) The percentage of G1 phase cells in NGTI group was significantly higher than that in NGFI group and SMGTI group at PIH 2, respectively (P<0.05), and the percentage of G1 phase cells in NGTI group was significantly lower than that in NGFI group and SMGTI group at PIH 6 and 12, respectively (P<0.05). The percentage of G2/M phase cells in NGTI group was significantly lower than that in SMGTI group at PIH 2 (P<0.05), and the percentage of G2/M phase cells in NGTI group was significantly higher than that in NGFI group and SMGTI group at PIH 6 and 12, respectively (P<0.05). The percentage of S phase cells in NGTI group at PIH 2, 6, and 12 was significantly higher than that in SMGTI group (P<0.05), and the percentage of S phase cells in NGTI group at PIH 2 and 6 was significantly lower than that in NGFI group (P<0.05). (3) The HSP70 mRNA expressions of cells in NGTI group were 2.50±0.30 and 3.99±0.35 at PIH 2 and 6, which were significantly higher than 1.14±0.15 and 0.82±0.27 in NGFI group (P<0.05), and 1.17±0.53 and 1.65±0.59 in SMGTI group (P<0.05). The MMP-9 mRNA expression of cells in SMGTI group was significantly higher than that in NGTI group at PIH 2, 6, and 12, respectively (Z=-2.319, -2.882, -2.908, P<0.05). At each time point after injury, the mRNA expression of caspase-3 of cells in NGTI group was similar to that in NGFI group and SMGTI group, respectively (P>0.05). (4) The concentration of HB-EGF in cell culture supernatant of NGTI group was significantly lower than that in NGFI group at PIH 2, 6 and 12 (P<0.05), and the concentration of HB-EGF in cell culture supernatant of SMGTI group was significantly higher than that in NGTI group at PIH 2 and 6 (P<0.05). Conclusions: The proliferation and secretion functions and expression of wound repair related protein of human HaCaT cells inflicted with thermal injury in simulated microgravity environment showed complex and diversified changes, which provide theoretical basis for further research on damage repair under weightlessness.