Vitamin D and the promoter methylation of its metabolic pathway genes in association with the risk and prognosis of tuberculosis

The important roles of ERAP1, ERAP2 genes polymorphisms and their DNA methylation levels in pulmonary tuberculosis

BACKGROUND

Genetic variations in endoplasmic reticulum aminopeptidase (ERAP1, ERAP2) genes are associated with the pathogenesis of multiple diseases, including infectious diseases. The objective of our study was to assess whether ERAP1, ERAP2 genes polymorphisms and methylation levels affect the risk of pulmonary tuberculosis (PTB).

METHODS

We genotyped ten single nucleotide polymorphisms (SNPs) in ERAP1, ERAP2 genes among 497 PTB patients and 502 controls by SNPscan technique. Additionally, we detected the ERAP1, ERAP2 genes methylation levels in 98 PTB patients and 97 controls through Illumina Hiseq platform.

RESULTS

Our results showed that the GG genotype, G allele frequencies of ERAP2 gene rs2549782 were significantly increased in PTB patients compared to controls, and rs2549782 polymorphism was related to the increased risk of PTB under recessive model. In addition, no significant relationship was found between ERAP1 gene rs13167972, rs17086651, rs469783, rs26618, rs3734016, ERAP2 gene rs17524572, rs1230358, rs2549794, rs117041256 and PTB susceptibility. Among PTB patients, the frequencies of rs17524572 TT genotype, T allele were significantly associated with drug-induced liver injury, and rs1230358, rs2549782, rs2549794 polymorphisms were linked to the occurrence of fever. Haplotype analysis of ERAP2 gene suggested that the frequency of CTGGT haplotype was higher, while the frequency of CTGTT haplotype was lower in PTB patients. When compared with controls, the ERAP1 methylation level was lower in PTB patients, while the ERAP2 methylation level was significantly increased. Moreover, rs1230358 polymorphism was found to affect the ERAP2 methylation level.

CONCLUSION

The ERAP2 rs2549782 variant and altered methylation levels of ERAP1, ERAP2 genes were related to susceptibility to PTB.

Epigenetic maneuvering: an emerging strategy for mycobacterial intracellular survival

Mycobacterium tuberculosis (Mtb) has elaborated numerous mechanisms for its pathogenesis. Mtb manipulates host signaling pathways to interfere with the immune response and cell death pathways. By employing virulence factors - of which secretory proteins are emerging as significant components - it ensures successful survival in the host. In this review, we discuss advances made on the largely unexplored secretory modifiers of Mtb that alter the host epigenome to impact host pathways for the pathogen's advantage. We highlight the findings on the Mtb-encoded modification enzymes and their role in maneuvering the host machinery. We also provide pointers to the gaps that still exist in this area and approaches to address these questions for a better appreciation of the uncanny success of Mtb as an intracellular pathogen.

Association of CYP27B1 gene polymorphisms with pulmonary tuberculosis and vitamin D levels

BACKGROUND AND OBJECTIVES

Genetic factors are reported to be connected with tuberculosis (TB) infection. Studies have shown that genetic variations in genes involved in the vitamin D pathway influence the levels of vitamin D found in the bloodstream (serum). Cyp27b1 (1α-hydroxylase) is an enzyme that activates the synthesis of bioactive vitamin D3 by hydroxylation of 25(OH)D3.The in vitro studies reported rare gene variants of Cyp27b1 such as rs118204011 and rs118204012, associated with loss of Cyp27b1 function and lower serum vitamin D levels. Globally, a critical gap exists in understanding the link between these gene variants with TB and vitamin D levels. Hence, the study objective is to comprehend the association of Cyp27b1 rs118204009 (G/A), rs118204011 (C/T), and rs118204012 (A/G) with tuberculosis susceptibility/protection and to assess the influence of gene variants on vitamin D levels in both healthy controls (HCs) and those with pulmonary tuberculosis (PTB) in South India.

METHODS

Genomic DNA extraction was performed by salting-out procedure and subsequently genotyped through polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) method. Vitamin D level was measured by Enzyme-Linked Immunosorbent Assay (ELISA).

RESULTS

In rs118204012 (A/G), a substantial association was found with PTB susceptibility in allele 'A' [Odds Ratio (OR): 1.52 (1.02-2.26); p = 0.044] and 'AA' genotype [OR: 1.69 (1.02-2.81); p = 0.040] through the dominant model. Allele 'G' [OR: 0.66 (0.44-0.98); p = 0.044) was found to be associated with protection against TB. Males were associated with increased susceptibility towards TB compared to females in the rs118204011 "CC" [OR: 3.94 (1.94-7.98); p = 0.002] and rs118204012 'AA' [OR: 4.57 (2.13-9.79); p = 0.0001] genotypes. Vitamin D insufficiency (<30 ng/ml) was more prevalent in PTB patients (66.67 %) with the rs118201012 'AA' genotype compared with healthy controls (57.14 %). This genotype was associated with disease susceptible odds ratio of 1.5.

CONCLUSION

Cyp27b1 rs118204012 'AA' genotype was found to have association with vitamin D insufficiency and TB susceptibility. In terms of gender, our findings suggest that male individuals are correlated with a higher TB risk. This suggest that the gene variants may be involved in the downstream processing of serum Vitamin D levels and its association with the disease.

Predicting the incidence of rifampicin resistant tuberculosis in Yunnan, China: a seasonal time series analysis based on routine surveillance data

BACKGROUND

Rifampicin resistant tuberculosis (RR-TB) poses a growing threat to individuals and communities. This study utilized a seasonal autoregressive integrated moving average (SARIMA) model to quantitatively predict the monthly incidence of RR-TB in Yunnan Province which could guide government health administration departments and the centers for disease control and prevention (CDC) in preventing and controlling the RR-TB epidemic.

METHODS

The study utilized routine surveillance reporting data from the infectious Disease Network Surveillance and Reporting System. Monthly incidence rates of RR-TB were collected from January 2019 to December 2022. A time series SARIMA model was used to predict the number of monthly RR-TB cases in Yunnan Province in 2023, and the model was validated using time series plots, seasonal and non-seasonal differencing, autocorrelation and partial autocorrelation analysis, and white noise tests.

RESULTS

From 2019 to 2022, the incidence of RR-TB decreases as the incidence of all TB decreases (P < 0.05). There was no significant change in the proportion of RR-TB among all TB cases, which remained within 2.5% (P>0.05). The time series decomposition shows that it presented obvious seasonality, periodicity and randomness after being decomposed. Time series analysis was performed on the original series after 1 non-seasonal difference and 1 seasonal difference, the ADF test showed P < 0.05. According to ACF and PACF, the SARIMA (1, 1, 1) (1, 1, 0)12 model was chosen and statistically significant model parameter estimates (P < 0.05). The predicted seasonal trend of RR-TB incidence in 2019 to 2023 was similar to the actual data. The percentage accuracy in the prediction excesses 80% in 2019 to 2022 and is all within 95% CI. However there was a certain gap between the actual incidence and the predicted value in 2023, and the acutual incidence had increased by 12.4% compared to 2022. The percentage of accuracy in the prediction was only 70% in 2023.

CONCLUSIONS

We found the incidence of RR-TB was based on that of all TB in Yunnan. The SARIMA model successfully predicted the seasonal incidence trend of RR-TB in Yunnan Province in 2019 to 2023, but the prediction precision could be influenced by factors such as new infectious disease outbreaks or pandemics, social issues, environmental challenges or other unknown risks. Hence CDCs should pay special attention to the post epidemic effects of new infectious disease outbreaks or pandemics, carry out monitoring and early warning, and better optimize disease prediction models.

Decreased vitamin D bio-availability with altered DNA methylation of its metabolism genes in association with the metabolic disorders among the school-aged children with degree I, II, and III obesity

Obesity is strongly associated with disturbances of vitamin D (VD) metabolites in the animal models. However, the related epidemiological evidence is still controversial, especially the different degrees of obesity children. Hence, in this present representative case-control study, 106 obesity school-age children aged 7-12 years were included and divided into different subgroups as degree I (the age- and sex-specific BMI≥95th percentile, n=45), II (BMI ≥120% percentile, n=34) and III (BMI ≥140% percentile, n=27) obesity groups across the ranges of body mass index (BMI). While the age- and sex-matched subjects without obesity were as the control group. Notably, it was significantly different of body composition, anthropological and clinical characteristics among the above four subgroups with the dose-response relationships (P<.05). Moreover, comparing with the control group, the serum VD concentrations were higher, VD metabolites like 25(OH)D, 25(OH)D3 and 1,25(OH)2D, and related hydroxylases as CYP27A1, CYP2R1 and CYP27B1 were lower in the degree I, II, and III obesity subgroups (P<.05), which were more disorder with the anthropological and clinical characteristics as the obesity was worsen in a BMI-independent manner (P<.05). However, there was a significant increase of CYP27B1 in the degree III obesity group than those in the degree I and II obesity subgroups. Furthermore, the methylation patterns on the genome-wide (Methylation/Hydroxymethylation) and VD metabolism genes (CYP27A1, CYP2R1 and CYP27B1) were negatively correlated with the worse obesity and their related expressions (P<.05). In summary, these results indicated that obesity could affect the homeostasis of VD metabolism related genes such as CYP27A1, CYP2R1, CYP27B1 and etc through abnormal DNA methylation, resulting in the disorders of VD related metabolites to decrease VD bio-availability with the BMI-independent manner. In turn, the lower levels of VD metabolites would affect the liver function to exacerbate the progression of obesity, as the Degree II and III obesity subgroups.

Exploring TSPAN4 promoter methylation as a diagnostic biomarker for tuberculosis

Background

Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), is a persistent infectious disease threatening human health. The existing diagnostic methods still have significant shortcomings, including a low positivity rate in pathogen-based diagnoses and the inability of immunological diagnostics to detect active TB. Hence, it is urgent to develop new techniques to detect TB more accurate and earlier. This research aims to scrutinize and authenticate DNA methylation markers suitable for tuberculosis diagnosis. Concurrently, Providing a new approach for tuberculosis diagnosis.

Methods

Blood samples from patients with newly diagnosed tuberculosis and healthy controls (HC) were utilized in this study. Examining methylation microarray data from 40 whole blood samples (22TB + 18HC), we employed two procedures: signature gene methylated position analysis and signature region methylated position analysis to pinpoint distinctive methylated positions. Based on the screening results, diagnostic classifiers are constructed through machine learning, and validation was conducted through pyrosequencing in a separate queue (22TB + 18HC). Culminating in the development of a new tuberculosis diagnostic method via quantitative real-time methylation specific PCR (qMSP).

Results

The combination of the two procedures revealed a total of 10 methylated positions, all of which were located in the promoter region. These 10 signature methylated positions facilitated the construction of a diagnostic classifier, exhibiting robust diagnostic accuracy in both cross-validation and external test sets. The LDA model demonstrated the best classification performance, achieving an AUC of 0.83, specificity of 0.8, and sensitivity of 0.86 on the external test set. Furthermore, the validation of signature methylated positions through pyrosequencing demonstrated high agreement with screening outcomes. Additionally, qMSP detection of 2 potential hypomethylated positions (cg04552852 and cg12464638) exhibited promising results, yielding an AUC of 0.794, specificity of 0.720, and sensitivity of 0.816.

Conclusion

Our study demonstrates that the validated signature methylated positions through pyrosequencing emerge as plausible biomarkers for tuberculosis diagnosis. The specific methylation markers in the TSPAN4 gene, identified in whole blood samples, hold promise for improving tuberculosis diagnosis. This approach could significantly enhance diagnostic accuracy and speed, offering a new avenue for early detection and treatment.

Methylation of the Vitamin D Receptor Gene in Human Disorders

The Vitamin D Receptor (VDR) mediates the actions of 1,25-Dihydroxvitamin D3 (1,25(OH)2D3), which has important roles in bone homeostasis, growth/differentiation of cells, immune functions, and reduction of inflammation. Emerging evidences suggest that epigenetic modifications of the VDR gene, particularly DNA methylation, may contribute to the onset and progression of many human disorders. This review aims to summarize the available information on the role of VDR methylation signatures in different pathological contexts, including autoimmune diseases, infectious diseases, cancer, and others. The reversible nature of DNA methylation could enable the development of therapeutic strategies, offering new avenues for the management of these worldwide diseases.

The Methylation in B7-H4 and BTLA Genes are Associated with the Risk of Pulmonary Tuberculosis

Background

The important roles of B7 homologous body 4 (B7-H4), B and T lymphocyte attenuator (BTLA) in patients with pulmonary tuberculosis (PTB) have been reported. This study aims to evaluate the association among B7-H4 and BTLA genes polymorphism, methylation and PTB susceptibility.

Methodology

Here, we assessed the possible relationship of 10 single nucleotide polymorphisms (SNPs) in B7-H4, BTLA genes with PTB susceptibility in a Chinese population (496 PTB patients and 502 controls) by SNPscan technique. Then, the B7-H4, BTLA genes methylation levels among 98 PTB patients and 97 controls were detected using MethylTarget technique.

Results

This study found no significant differences in allele and genotype frequencies of B7-H4 gene rs10754339, rs10801935, rs10923223, rs1937956, rs3738414, BTLA gene rs1982809, rs2971205, rs75368388, rs9288953 variants between PTB patients and controls. Haplotype analysis suggested that the lower frequencies of B7-H4 AATTG haplotype, BTLA GATT haplotype and the higher frequency of BTLA AGTC haplotype were found in PTB patients when compared with controls. We also found that the frequency of BTLA gene rs9288953 C allele was significantly increased in PTB patients with drug resistance. Moreover, the methylation levels of B7-H4 and BTLA genes in PTB patients were greater than that in controls, and rs10754339 variant in B7-H4 gene could affect its methylation level in PTB patients.

Conclusion

B7-H4, BTLA genes polymorphism might not affect PTB susceptibility, while the abnormal methylation levels of B7-H4, BTLA genes were associated with the genetic background of PTB.

Association of DNA methylation of vitamin D metabolic pathway related genes with colorectal cancer risk

BACKGROUND

Vitamin D might have anti-tumor effect, which is affected by the genes related to vitamin D metabolic pathway. Epigenetic mechanism may affect the expression level of vitamin D metabolic pathway related genes, then plays an important role in the occurrence and development of colorectal cancer. To date, no study has reported on the association between blood-based DNA methylation level of vitamin D metabolic pathway related genes and colorectal cancer risk.

METHODS

A case-control study was conducted including 102 colorectal cancer cases and 102 sex- and age-frequency-matched controls in Guangzhou, China. CpG islands in the VDR, CYP24A1, CYP27B1 and CYP2R1 genes were chosen for DNA methylation analysis by MethylTarget sequencing. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of DNA methylation levels for colorectal cancer. Taking the point with the largest Youden index as the boundary value, the cumulative methylation levels of vitamin D metabolic pathway related genes were divided into hypomethylation and hypermethylation. Unconditional multivariable logistical regression model was used to calculate the adjusted odds ratio (aOR) and 95% confidence intervals (95% CIs) after adjusting for potential confounders.

RESULTS

Among 153 CpG sites, 8 CpG sites were significantly different between the cases and the controls. The cumulative methylation level of all CpG sites in CYP2R1 was inversely associated with the risk of colorectal cancer (aOR, 0.49; 95% CI, 0.26-0.91). However, no significant association was found between cumulative methylation levels of all CpG sites in VDR, CYP24A1 and CYP27B1 and colorectal cancer risk. Significant inverse association was observed between cumulative methylation level of significant CpG sites in VDR (aOR, 0.28; 95% CI, 0.16-0.51) and CYP24A1 (aOR, 0.19; 95% CI, 0.09-0.40) and colorectal cancer risk. There were no significant associations between cumulative methylation levels of significant CpG sites in CYP2R1 and CYP27B1 and colorectal cancer risk.

CONCLUSIONS

This study indicated that the cumulative methylation levels of significant CpG sites in VDR and CYP24A1 and all CpG sites in CYP2R1 were inversely associated with colorectal cancer risk.

Vitamin D: An Overview of Gene Regulation, Ranging from Metabolism to Genomic Effects

Vitamin D is a pro-hormone characterized by an intricate metabolism and regulation. It is well known for its role in calcium and phosphate metabolism, and in bone health. However, several studies have assessed a huge number of extra-skeletal functions, ranging from cell proliferation in some oncogenic pathways to antioxidant and immunomodulatory functions. Vitamin D exerts its role by binding to VDRs (vitamin D receptors), which are located in many different tissues. Moreover, VDRs are able to bind hundreds of genomic loci, modulating the expression of various primary target genes. Interestingly, plenty of gene polymorphisms regarding VDRs are described, each one carrying a potential influence against gene expression, with relapses in several chronic diseases and metabolic complications. In this review, we provide an overview of the genetic aspects of vitamin D and VDR, emphasizing the gene regulation of vitamin D, and the genetic modulation of VDR target genes. In addition, we briefly summarize the rare genetic disease linked to vitamin D metabolism.

Effect of epigenetics on vitamin D levels: a systematic review until December 2020

BACKGROUND

The association between epigenetic modification of the genes involved in the vitamin D metabolic pathway and vitamin D metabolites' status has been elucidated incompletely. This study aims to review the studies on the mentioned association and create a brighter view of this topic.

METHODS

A systematic literature search was conducted in Medline database (PubMed), Scopus, and Web of Science up to the end of November 2020. Original articles which reported the effect of epigenetic alteration-methylation level or its changes-of genes involved in vitamin D regulation on the vitamin D metabolites serum level or its changes were included. The National Institutes of Health (NIH) checklist was used to assess the quality of included articles.

RESULTS

Among 2566 records, nine reports were included in the systematic review according to the inclusion and exclusion criteria. Studies discussed the contribution of methylation status of members of the cytochrome P450 family (CYP2R1, CYP27B1, CYP24A1), and Vitamin D Receptor (VDR) genes to vitamin D level variance. CYP2R1 methylation status could regulate the contributing factors affecting the vitamin D serum level and predict response to vitamin D supplementation. Studies revealed that impaired methylation of CYP24A1 occurs in response to an increase in serum level of 25-hydroxyvitamin D (25(OH)D). It is reported that the association between methylation levels of CYP2R1, CYP24A1, and VDR genes and 25(OH)D level is not affected by the methyl-donors bioavailability.

CONCLUSIONS

The epigenetic modification of the vitamin D-related genes could explain the vitamin D levels variation among populations. Large-scale clinical trials in various ethnicities are suggested to find the effect of epigenetics on vitamin D response variation.

REGISTRATION

The systematic review protocol was registered on PROSPERO (registration number: CRD42022306327).

Serum Vitamin D Levels in Pediatric Tuberculosis Patients in a Tertiary Care Center in India: A Case-Control Study

Background Mycobacterium is certainly one individual organism contributing to the most deaths of children among the world's lower- and medium-income nations. According to earlier studies, vitamin D insufficiency is one of the risk factors. We undertook this study since very few case-control studies are present. This study aimed to evaluate the role of vitamin D in tuberculosis (TB). Methods This case-control study was carried out in a tertiary care center at Niloufer Hospital over a period of one year and five months. The sample size was 140. SPSS (Statistical Package for the Social Sciences) Version 19 (IBM Corp., Armonk, NY) was used for statistical analysis. Two-tailed p-values and odds ratios were obtained. The chi-square test was applied to differentiate between two categorical variables. For means, the Student t-test was applied. We usually take baseline investigations before starting ATT (anti-TB treatment) with the blood sample we tested for vitamin D levels. Results With p-values of 0.767 and 0.866, the age and sex distributions in the cases and controls were comparable. Rural and urban area distribution and malnutrition distribution were not similar in both groups, with a p-value of 0.001. The mean vitamin D level in cases was 10.4, while controls it was 22.8, and this difference is statistically significant (p = 0.001). Conclusion Vitamin D deficiency is more common in children with TB than in normal children. In addition, a severe form of vitamin D deficiency (less than 10 ng/mL) was higher among children with TB. Clinicians should be aware of associated malnutrition and low socioeconomic status as risk factors for severe vitamin D deficiencies among them.

Epigenetic regulation of vitamin D deficiency

Tweetable abstract Epigenetic insights into vitamin D deficiency, a global health concern, are described here. This editorial illuminates the role of epigenetic mechanisms in understanding the molecular basis of vitamin D deficiency, shedding light on precision medicine.

Association of CYP2R1 and CYP27B1 genes with the risk of obesity and vitamin D metabolism in Saudi women

BACKGROUND

Epigenome, genetic variants, and other environmental factors involved in gene regulation are highly inter-dependent in several chronic diseases, including obesity, cardiovascular disease, and diabetes. The present study aimed at testing the associations and the mechanism involved in silencing of CYP2R1 gene in normal and obese Saudi women patients. Height, weight, BMI, 25-hydroxy vitamin D, parathyroid hormone, glycemic status, and lipid profile (TG, LDL, HDL, and TC) of CYP2R1 were measured in 100 women (31 normal and 69 obese patients).

RESULTS

Our result shows that hypermethylation in site 2 of the CYP2R1 gene with body weight (p < 0.004), BMI (p < 0.002), waist circumference (p < 0.002), total-LDL (p < 0.027), total cholesterol (p < 0.022), and vitamin D (VD) (close to borderline significance p < 0.06) and site 4 of CYP2R1 with LDL (p < 0.041) in the four tested sites among normal and obese women was significantly associated. Moreover, we tested five different CpG sites in the CYP27B1 gene where site 5 correlated significantly with VD levels.

CONCLUSION

Our present study clearly indicates that hypermethylation of specific sites in the CYP2R1 and CYP27B1 genes might regulate gene expression with special reference to the risk of obesity and vitamin D metabolism.

Vitamin D Metabolism Genes Are Differentially Methylated in Individuals with Chronic Knee Pain

INTRODUCTION

Recent evidence suggests that vitamin D may interact with the epigenome and play a role in the pain experience. In order for proper functioning to occur, there must be an adequate level of vitamin D present, made possible by enzymatic reactions that allow vitamin D to be biologically active. The purpose of this study was to explore the epigenetic landscape of genes involved in vitamin D metabolism in individuals with and without chronic knee pain.

METHODS

Community-dwelling individuals recruited as part of a larger study focused on knee pain provided demographic, clinical, and pain-related information, as well as an intravenous blood sample to determine DNA methylation levels at CpG sites.

RESULTS

There were differences in DNA methylation between those with and without pain in genes that code for enzymes related to vitamin D metabolism: CYP27B1 (1-α-hydroxylase). There was also hypermethylation on the gene that codes for the vitamin D receptor (VDR).

CONCLUSIONS

The presence of chronic pain is associated with epigenetic modifications in genes responsible for the expression of enzymes involved in vitamin D metabolism and cellular function. These results lay groundwork in understanding the mechanism underlying the association between vitamin D and chronic pain.

Association Between Promoter Methylation of Vitamin D Metabolic Pathway Genes and Tuberculosis and Diabetes Comorbidity in a Chinese Han Population: A Case-Control Study

Background

Deficiency vitamin D and hyperglycemia could be related to weakened innate immune response and aggravate the progression of tuberculosis (TB). This study hypothesized that DNA promoter methylation of the pivotal genes in the vitamin D metabolic pathway might be related to diabetes and tuberculosis co-morbidity (TB-DM) susceptibility.

Methods

A total of 50 TB-DM and 50 healthy subjects (HS) were included in the present study. Targeted bisulfite sequencing was applied to detect the methylation of the promoter regions of candidate genes in the vitamin D metabolic pathway (CYP24A1, CYP27B1, CYP2R1, DHCR7, and VDR) in whole blood.

Results

The overall methylation level of candidate genes in this study was lower in patients with TB-DM than HS, except for CYP2R1. The results of the ROC demonstrated the potential of CYP24A1, CYP27B1, DHCR7, and VDR promoter methylation as a biomarker for diagnosing TB-DM, with all the AUC above 0.7. In subgroup analysis, we found that lower circulating vitamin D is related to a low level of CYP24A1, CYP27B1, and DHCR7 promoter methylation in patients with TB-DM. With decreasing methylation level, risk of TB-DM was significantly increased (odds ratio, 95% CI 0.343, 0.144-0.821 for CYP24A1; 0.461, 0.275-0.773 for CYP27B1; 0.09, 0.015-0.530 for DHCR7; 0.006, 0.0003-0.115 for VDR). Besides, our results revealed that there was a significant correlation between DNA promoter methylation of selected genes in the vitamin D metabolic pathway and platelet indices in TB-DM. However, there was no correlation between DNA methylation of the four genes and fasting glucose and HbA1c.

Conclusion

Our results could suggest that the selected genes in the vitamin D metabolic pathway may be involved in the pathological process of TB-DM, but independent of the process of hyperglycemia to impaired immune responses to Mtb.

Roles of the m6A methyltransferases METTL3, METTL14, and WTAP in pulmonary tuberculosis

Objective

The aim of the current study was to investigate the contributing role of gene variation and transcription levels among the m6A methyltransferases METTL3, METTL14, and WTAP in pulmonary tuberculosis (PTB).

Methods

A case-control study including 461 PTB patients and 467 normal controls was designed for genotyping. Three SNPs in METTL3 (rs1061027, rs1139130, rs1061026), three SNPs in METTL14 (rs62328061, rs4834698, rs1064034), and two SNPs in WTAP (rs1853259, rs11752345) were genotyped via the SNPscan™ technique. METTL3, METTL14, and WTAP transcription levels were determined in 78 PTB patients and 86 controls via quantitative real-time reverse-transcription PCR.

Results

Frequencies of the METTL14 rs62328061 GG genotype, WTAP rs11752345 CT genotype, and T allele were significantly increased in PTB patients compared to controls. An increased risk of rs62328061 was detected in a recessive model, and a decreased risk of rs11752345 was detected in a dominant model in the PTB group. METTL3 gene variation was not associated with PTB risk. The METTL3 rs1139130 GG genotype was significantly increased with drug resistance, and the G allele was significantly decreased with drug-induced liver injury in PTB patients. A reduced frequency of the METTL14 rs62328061 G allele was associated with leukopenia, a reduced frequency of the WTAP rs11752345 T allele was associated with sputum smear positivity, and a higher frequency of the METTL14 rs4834698 TC genotype was evident in PTB patients with hypoproteinemia. Compared to controls, METTL3, METTL14, and WTAP transcription levels in PTB patients were significantly decreased, and the level of WTAP was increased in PTB patients with drug resistance. METTL3 level was negatively associated with erythrocyte sedimentation rate and aspartate aminotransferase, and METTL14 level was negatively correlated with alanine aminotransferase and aspartate aminotransferase.

Conclusion

METTL14 rs62328061 and WTAP rs11752345 variants were associated with the genetic background of PTB, and METTL3, METTL14, and WTAP levels were abnormally decreased, suggesting that these m6A methyltransferases may play important roles in PTB.

Association of N6-methyladenosine readers' genes variation and expression level with pulmonary tuberculosis

N6-Methyladenosine (m6A) is associated with many biological processes and the development of multiple diseases. The aim of this study was to analyze the association of m6A readers' genes variation, as well as their expression levels, with pulmonary tuberculosis (PTB). A total of 11 single-nucleotide polymorphisms (SNPs) in m6A readers' genes (i.e., YTHDF1 rs6122103, rs6011668, YTHDF2 rs602345, rs3738067, YTHDF3 rs7464, rs12549833, YTHDC1 rs3813832, rs17592288, rs2293596, and YTHDC2 rs6594732, and rs2416282) were genotyped by SNPscan™ technique in 457 patients with PTB and 466 normal controls. The m6A readers' genes expression levels in peripheral blood mononuclear cells (PBMCs) from 78 patients with PTB and 86 normal controls were detected by quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR). There was no significant association between all SNPs in YTHDF1, YTHDF2, YTHDF3, YTHDC1, and YTHDC2 genes and PTB susceptibility. The increased frequencies of YTHDF2 rs3738067 GG genotype and YTHDC1 rs3813832 CC genotype, C allele, were, respectively, found in PTB patients with hypoproteinemia and fever. YTHDC2 rs6594732 variant was significantly associated with drug-induced liver damage and sputum smear-positive, and the rs2416282 variant was significantly associated with fever in patients with PTB. Compared with controls, the YTHDF1, YTHDF2, YTHDF3, YTHDC1, and YTHDC2 mRNA levels were significantly decreased in PTB. Moreover, YTHDF1 level was negatively associated with erythrocyte sedimentation rate (ESR), and YTHDF3 and YTHDC1 levels were negatively related to alanine aminotransferase (ALT) in patients with PTB. Our results demonstrated that YTHDF1, YTHDF2, YTHDF3, YTHDC1, and YTHDC2 genes SNPs did not contribute to PTB susceptibility, while their decreased levels in patients with PTB suggested that these m6A readers might play significant roles in PTB.

Selected plasma oxysterols as a potential multi-marker biosignature panel for Behçet's Disease

Clinical, genetic, and medical evidence has shown the inflammatory vasculitis aspect of Behçet's Disease (BD). Whereas oxysterols are vital factors in inflammation and oxidative stress, it is still unknown whether they are involved in the pathophysiology of BD. The current study aims to explore the profile of oxysterols in plasma of BD patients. Thirty patients diagnosed with BD and forty healthy controls matched for age and gender were included. Results showed that the cholestane-3β,5α,6β-triol, 27-hydroxycholesterol (27-OHC) and cholestanol levels were higher in BD than controls. In addition, plasma levels of 7-ketocholesterol (7-KC) and 25-hydroxycholesterol (25-OHC) were lower in BD patient. However, levels of 24S-hydroxycholesterol (24-OHC) did not significantly differ. For BD patients, the plasma 7-KC level was negatively correlated with the BD activity index (BDAI) while 27-OHC was positively correlated with high-sensitivity C-reactive protein (hs-CRP) in patients with active course of the disease. According to ROC analysis, a remarkable increase in the area under the curve (AUC) with a higher sensitivity (Se) and specificity (Sp) for 7-KC, 25-OHC and 27-OHC combined markers was observed. The present study indicated that the identification of the predictive value of these three-selected biomarkers related to oxidative stress and inflammation in patients should lead to a better identification of the etiological mechanism of BD.

Tuberculosis conundrum - current and future scenarios: A proposed comprehensive approach combining laboratory, imaging, and computing advances

Tuberculosis (TB) remains a global threat, with the rise of multiple and extensively drug resistant TB posing additional challenges. The International health community has set various 5-yearly targets for TB elimination: mathematical modelling suggests that a 2050 target is feasible with a strategy combining better diagnostics, drugs, and vaccines to detect and treat both latent and active infection. The availability of rapid and highly sensitive diagnostic tools (Gene-Xpert, TB-Quick) will vastly facilitate population-level identification of TB (including rifampicin resistance and through it, multi-drug-resistant TB). Basic-research advances have illuminated molecular mechanisms in TB, including the protective role of Vitamin D. Also, Mycobacterium tuberculosis impairs the host immune response through epigenetic mechanisms (histone-binding modulation). Imaging will continue to be key, both for initial diagnosis and follow-up. We discuss advances in multiple imaging modalities to evaluate TB tissue changes, such as molecular imaging techniques (including pathogen-specific positron emission tomography imaging agents), non-invasive temporal monitoring, and computing enhancements to improve data acquisition and reduce scan times. Big data analysis and Artificial Intelligence (AI) algorithms, notably in the AI sub-field called “Deep Learning”, can potentially increase the speed and accuracy of diagnosis. Additionally, Federated learning makes multi-institutional/multi-city AI-based collaborations possible without sharing identifiable patient data. More powerful hardware designs - e.g., Edge and Quantum Computing- will facilitate the role of computing applications in TB. However, “Artificial Intelligence needs real Intelligence to guide it!” To have maximal impact, AI must use a holistic approach that incorporates time tested human wisdom gained over decades from the full gamut of TB, i.e., key imaging and clinical parameters, including prognostic indicators, plus bacterial and epidemiologic data. We propose a similar holistic approach at the level of national/international policy formulation and implementation, to enable effective culmination of TB’s endgame, summarizing it with the acronym “TB - REVISITED”.

Relationship between DNA Methylation Profiles and Active Tuberculosis Development from Latent Infection: a Pilot Study in Nested Case-Control Design

Individuals with latent tuberculosis infection (LTBI) were regarded as an enormous reservoir of cases with active tuberculosis (TB). To strengthen LTBI management, biomarkers and tools are urgently required for identifying and ruling out active TB in a fast and effective way. Based on an open-label randomized controlled trial aiming to explore short-course LTBI treatment regimens, DNA methylation profiles were retrospectively detected to explore potential biomarkers, which could discriminate active TB from LTBI. The Infinium MethylationEPIC BeadChip array was used to analyze genomewide DNA methylation levels for 15 persons with LTBI who later developed active TB and for 15 LTBI controls who stayed healthy. The differentially methylated CpGs (dmCpGs) located in the promoter regions pre- and post-TB diagnosis were selected (P < 0.05 and |Δβ|>0.10) and evaluated by receiver operating characteristic (ROC) analysis. Eight dmCpGs were identified to be associated with TB occurrence; six were located in hypermethylated genes (cg02493602, cg02206980, cg02214623, cg12159502, cg14593639, and cg25764570), and two were located in hypomethylated genes (cg02781074 and cg12321798). ROC analysis indicated that the area under curve (AUC) of these eight dmCpGs ranged from 0.72 to 0.84. Given 90% sensitivity, the specificity was highest for cg14593639 at 66.67%. The combination analysis indicated that “cg02206980 + cg02214623 + cg12159502 + cg12321798” showed the best performance, with an AUC of 0.88 (95% confidence interval [CI]: 0.72, 0.97), a sensitivity of 93.33% (95% CI: 70.18%, 99.66%), and a specificity of 86.67% (95% CI: 62.12%, 97.63%). Our preliminary results indicate the potential value of the DNA methylation level as a diagnostic biomarker for discriminating active disease in LTBI testing. This finding requires further verification in independent populations with large sample sizes.

IMPORTANCE Approximately a quarter of the world population had been infected with Mycobacterium tuberculosis, and about 5 to 10% of these individuals might develop active disease in their lifetimes. As a critical component of the “end TB strategies,” preventive treatment was shown to protect 60 to 90% of high-risk LTBIs from developing active disease. Developing new TB screening tools based on blood-based biomarkers, which could identify and rule out active TB from LTBI, are prerequisite before initialing intervention. We tried to explore potential DNA methylation diagnostic biomarkers through retrospectively detected DNA methylation profiles pre- and post-TB diagnosis. Eight dmCpGs were identified, and the combination of “cg02206980 + cg02214623 + cg12159502 + cg12321798” showed a sensitivity of 93.33% and a specificity of 86.67%. The preliminary results provided new insight into detecting the DNA methylation level as a potential tool to distinguish TB from LTBI.

Deciphering a TB-related DNA methylation biomarker and constructing a TB diagnostic classifier

We systemically identified tuberculosis (TB)-related DNA methylation biomarkers and further constructed classifiers for TB diagnosis. TB-related DNA methylation datasets were searched through October 3, 2020. Limma and DMRcate were employed to identify differentially methylated probes (DMPs) and regions (DMRs). Machine learning methods were used to construct classifiers. The performance of the classifiers was evaluated in discovery datasets and a prospective independent cohort. Eighty-nine DMPs and 24 DMRs were identified based on 67 TB patients and 45 healthy controls from 4 datasets. Nine and three DMRs were selected by elastic net regression and logistic regression, respectively. Among the selected DMRs, two regions (chr3: 195635643-195636243 and chr6: 29691631-29692475) were differentially methylated in the independent cohort (p = 4.19 × 10^-5 and 0.024, respectively). Among the ten classifiers, the 3-DMR logistic regression classifier exhibited the strongest performance. The sensitivity, specificity, and area under the curve were, respectively, 79.1%, 84.4%, and 0.888 in the discovery datasets and 64.5%, 90.3%, and 0.838 in the independent cohort. The differential diagnostic ability of this classifier was also assessed. Collectively, these data showed that DNA methylation might be a promising TB diagnostic biomarker. The 3-DMR logistic regression classifier is a potential clinical tool for TB diagnosis, and further validation is needed.

Immune and inflammation-related gene polymorphisms and susceptibility to tuberculosis in Southern Xinjiang population: A case-control analysis

Genetic and immune factors play an important role in tuberculosis. Under different ethnicities and genetic backgrounds, different immune and inflammation-related gene polymorphisms may confer different susceptibility to tuberculosis. This study investigated the relationship between immune and inflammation-related gene polymorphism and susceptibility to tuberculosis in Xinjiang Uyghur population, China. In this case-control study, we enrolled 507 pulmonary tuberculosis patients and 454 healthy controls from Southern Xinjiang. single nucleotide polymorphism (SNP) genotyping was performed. The 12 SNPs of nine immune and inflammation-related genes (including TNF rs361525, IL6 rs2066992 and rs1524107, IL17A rs3748067, IL17F rs763780, VDR rs731236, rs2228570 and rs1544410, IFNGR1 rs1327474, P2RX7 rs3751143, CTAGE1 rs4331426 and Toll-like receptor 4 (TLR4) rs4986790) and their relationship with tuberculosis were evaluated. The T allele and TT genotype of IL-6 rs2066992 and rs1524107 increased the risk of active tuberculosis. The C allele of IFNGR1 rs1327474 was related to the reduced risk of tuberculosis in the Xinjiang Uyghur population. The G allele and AG/GG genotypes of TLR4 rs4986790 were associated with an increased risk of tuberculosis (p < .05). Furthermore, haplotype analysis found that the haplotype TT of interleukin (IL)-6 was a risk factor, whereas the CG type was a protective factor for active tuberculosis in the Xinjiang Uyghur population. There were three immune and inflammation-related genes (IL-6, IFNGR1 and TLR4) and a total of four SNPs (rs2066992, rs1524107, rs1327474 and rs4986790) related to the susceptibility of the Uyghur population to tuberculosis. Our findings may provide evidence for further understanding the mechanism of tuberculosis susceptibility in the Xinjiang Uyghur population.

Vitamin D Metabolic Pathway Genes Polymorphisms and Their Methylation Levels in Association With Rheumatoid Arthritis

Abnormal vitamin D metabolism is involved in the pathogenesis of rheumatoid arthritis (RA). In this study, we evaluated the association of single nucleotide polymorphisms (SNPs) and methylation levels in vitamin D metabolic pathway genes with RA susceptibility. Ten SNPs in vitamin D metabolic pathway genes (CYP2R1, CYP24A1, VDR, CYP27B1) were genotyped in 477 RA patients and 496 controls by improved multiple ligase detection reaction (iMLDR). The methylation levels of the promoter regions of these genes were detected in 122 RA patients and 123 controls using Illumina Hiseq platform. We found that the CYP2R1 rs1993116 GA genotype, CYP27B1 rs4646536 GA genotype, rs4646536 A allele frequencies were significantly increased in RA patients when compared to controls. The decreased risk of rs1993116, rs4646536 was found under the dominant mode in RA patients. However, no significant association was found between CYP2R1 rs7936142, rs12794714, CYP24A1 rs2762934, rs6068816, rs2296239, rs2296241, VDR rs11574129, rs3847987 polymorphism, and RA susceptibility. The VDR, CYP27B1 methylation levels in RA patients were significantly lower than those in controls, while CYP2R1, CYP24A1 methylation levels were not associated with RA. There were no statistical associations between CYP2R1, CYP24A1, VDR, CYP27B1 methylation levels and their respective genotype in RA patients. In addition, plasma 25OHD level in RA patients was significantly lower than that in healthy controls. In summary, our results showed that CYP2R1, CYP27B1 genetic variations were associated with the genetic background of RA, while altered VDR, CYP27B1 methylation levels were related to the risk of RA.

Association of Vitamin D Deficiency With Pulmonary Tuberculosis: A Systematic Review and Meta-Analysis

Pulmonary tuberculosis, caused by Mycobacterium tuberculosis, is a significant public health issue, especially in developing countries, affecting millions of people every year. Despite the development of many antitubercular antibiotics and increased awareness of preventive methods, it is still a major cause of mortality worldwide. Vitamin D, a micronutrient known to have a major role in bone and calcium metabolism, has also shown its immunomodulatory effects to suppress mycobacterial growth. We conducted a systematic review and meta-analysis of the available evidence to explore the association between vitamin D levels and tuberculosis. We performed a systematic search for articles from inception to May 2021 in multiple databases. We included 26 studies in our qualitative synthesis and 12 studies in meta-analysis or quantitative synthesis. In our meta-analysis, we used a random-effect model to calculate the odds ratio (OR) of vitamin D deficiency in tuberculosis patients compared to the healthy controls. On pooled analysis, we found that the odds of the participants having vitamin D deficiency was 3.23 times more in tuberculosis patients compared to the healthy group (OR=3.23, CI = 1.91-5.45, p<0.0001). Thus, we concluded that there is an association between low levels of vitamin D and tuberculosis infections. We suggest conducting long-term prospective cohort studies in tuberculosis endemic countries to better understand the causal relationship between vitamin D deficiency and tuberculosis.

Up-regulated long noncoding RNA AC007128.1 and its genetic polymorphisms associated with Tuberculosis susceptibility

Background

Tuberculosis (TB) remains a major public health problem. Long non-coding RNAs (lncRNAs) are important regulators of gene expression. In this study, we explored the association between the expression of lncRNA AC007128.1 and TB susceptibility.

Methods

Three single-nucleotide polymorphisms (SNPs) (rs12333784, rs6463794, and rs720964) of lncRNA AC007128.1 were selected using the 1000 Genomes Project database and offline software Haploview V4.2, and were genotyped by a customized 2×48-Plex SNPscan™ Kit.

Results

We identified two differentially expressed lncRNA including AC007128.1 and AP001065.3 in comparisons of expression profiles between ATB vs. LTBI, LTBI vs. HCs, and AC700128.1 expression was specifically and significantly up-regulated in TB patients by verification of external data. Gene Ontology functional enrichment analysis and co-expression network showed up-regulated mRNA was mainly involved in negative regulation of the G protein-coupled receptor (GPCR) signaling pathway, and FPR1 and CYP27B1 were involved in the co-expression of AC007128.1. Using the 1000 Genomes Project, software Haploview V4.2, and SNP genotype, we screened out SNP rs12333784 which locus at 7p21.3 in AC007128.1 associated with TB susceptibility. The G carrier of rs12333784 was then finally verified to be significantly associated with pulmonary TB (PTB) and extrapulmonary tuberculosis (EPTB) susceptibility (pBonferroni =0.03878), and a similar but more significant effect was observed under the dominant model analysis (pBonferroni =0.013, OR =1.349, 95% CI, 1.065–1.709). In addition, the GG + GA genotype of SNP rs12333784 was significantly correlated with higher glucose (GLU) (P=0.03), higher gamma-glutamyl transferase (GGT) (P=0.05), and higher erythrocyte sedimentation rate (ESR) (P=0.05).

Conclusions

Our findings show lncRNA AC007128.1 can be regarded as biomarkers discriminating between ATB and LTBI and may also be a diagnostic biomarker for LBTI. These findings may aid clinical decision making in the management of TB.

Association of vitamin D pathway genes polymorphisms with pulmonary tuberculosis susceptibility in a Chinese population

OBJECTIVE

This study aimed to evaluate the association of single nucleotide polymorphisms (SNPs) of vitamin D metabolic pathway genes with susceptibility to pulmonary tuberculosis (PTB).

METHODS

Nine hundred seventy-nine patients (490 PTB cases and 489 healthy controls) were included in this study. Seventeen SNPs of vitamin D metabolic pathway genes, including CYP24A1, CYP27A1, CYP27B1, CYP2R1, GC, and DHCR7, were genotyped with improved multiple ligase detection reaction (iMLDR).

RESULTS

The GC rs3733359 GA, rs16847024 CT genotypes were significantly associated with the reduced risk of PTB, and the rs3733359 A, rs16847024 T alleles were also associated with the decreased PTB susceptibility. The GT genotype of GC rs4588 variant was significantly higher in patients with PTB when compared to controls. Moreover, the increased risk of rs3733359 and rs16847024 variants, and a decreased risk of rs4588, were found under the dominant mode among the PTB patients. However, there was no significant relationship of CYP24A1, CYP27A1, CYP27B1, CYP2R1, and DHCR7 polymorphisms with the risk of PTB. In CYP27A1, the rs17470271 T and rs933994 T alleles were significantly associated with leukopenia, drug resistance in the PTB patients, respectively. In GC gene, the rs7041 and rs3733359 variants were found to be associated with pulmonary infection, fever in the PTB patients, respectively. The increased frequency of rs16847024 TT genotype was found in the PTB patients with fever and drug-induced liver damage. DHCR7 rs12785878 TT genotype, and T allele frequencies were both significantly associated with pulmonary infection in the PTB patients. The haplotype analysis showed that CYP24A1 TACT, CYP2R1 GGCT, GGAT, GC AATG haplotypes were related to PTB susceptibility.

CONCLUSION

Our study suggested that GC SNPs were associated with the genetic background of PTB. CYP27A1, GC, and DHCR7 genetic variations might contribute to several clinical phenotypes of PTB in Chinese.

Crosstalk between vitamin D axis, inflammation and host immunity mechanisms: A prospective study

Tuberculosis (TB) remains a public health burden, after many years at attempts for its eradication. Vitamin D (VD) status has been suggested to be related to TB susceptibility because it has the ability to regulate multiple axes of the innate and adaptive host immune response. VD mediates cathelicidin (LL-37) synthesis, a cationic bactericidal peptide, through the expression of vitamin D receptor (VDR). Host innate defense mechanisms include autophagy and apoptosis of alveolar macrophages. The present study aimed to assess the relationship between VD status, inflammation and host defense mechanisms before and after two months of first-line anti-TB pharmacotherapy. The study included newly diagnosed individuals with pulmonary TB without co-morbidities (HIV infection, diabetes, cancer) and without VD supplementation or other therapies interfering with VD serum levels. We measured serum levels of 25-hydroxyvitamin D (25-(OH)-D), the major circulating form of vitamin D, VDR, LL-37, beclin-1 (an autophagy marker) and M30 (an apoptosis biomarker) before and after two months of anti-TB treatment. Individuals presented lower levels of 25-(OH)-D before receiving first-line anti-TB treatment (T0) in comparison with its plasmatic levels after two-months of therapy (T2). At T2, patients were divided in two subgroups according the results of sputum-culture conversion. After two-months of therapy, decreased values of LL-37, beclin-1 and M30 were observed in the culture-negative patients compared to the culture-positive patients. Control of anti-TB treatment outcome could be improved by appraisal of VD status and host defense mechanisms such as autophagy and apoptosis.

Immunomodulation by epigenome alterations in Mycobacterium tuberculosis infection

Mycobacterium tuberculosis (MTB) has co-evolved with humans for decades and developed several mechanisms to evade host immunity. It can efficiently alter the host epigenome, thus playing a major role in immunomodulation by either activating or suppressing genes responsible for mounting an immune response against the pathogen. Epigenetic modifications such as DNA methylation and chromatin remodelling regulate gene expression and influence several cellular processes. The involvement of epigenetic factors in disease onset and development had been overlooked upon in comparison to genetic mutations. It is now believed that assessment of epigenetic changes hold great potential in diagnosis, prevention and treatment strategies for a wide range of diseases. In this review, we unravel the principles of epigenetics and the numerous ways by which MTB re-shapes the host epigenetic landscape as a strategy to overpower the host immune system for its survival and persistence.

PAQR3 Inhibits Non-small Cell Lung Cancer Growth by Regulating the NF-κB/p53/Bax Axis

Background

The expression of progestin and adipoQ receptor 3 (PAQR3) is generally downregulated in multiple tumors, which is associated with tumor progression and poor prognosis.

Methods

The clinical value of PAQR3 was analyzed using various databases and in 60 patients with non-small cell lung cancer (NSCLC). In addition, cell counting kit-8 (CCK-8), colony formation, and flow cytometry assays were used to evaluate the effect of PAQR3 on the growth of NSCLC cells in vitro. Gene set enrichment analysis (GSEA) was performed to investigate the possible mechanism through which PAQR3 is involved in the progression of lung cancer. Furthermore, western blotting was employed to verify the relevant mechanism.

Results

The expression of PAQR3 was decreased in 60 NSCLC patients and was related to the histological subtype, lymph node metastasis, tumor size, and diagnosis of NSCLC. Patients with lung adenocarcinoma with increased PAQR3 expression tended to have a better prognosis. Besides, PAQR3 inhibited proliferation, clone formation, and cycle transition in NSCLC cells, but induced apoptosis. The results of GSEA showed that PAQR3 regulated the progression of lung cancer by affecting cell cycle, DNA replication, and the p53 signaling pathway. We confirmed that PAQR3 overexpression inhibited the expression of NF-κB, while it increased the expression of p53, phospho-p53, and Bax. On the contrary, PAQR3 inhibition played an opposite role in these proteins.

Conclusion

PAQR3 inhibited the growth of NSCLC cells through the NF-κB/P53/Bax signaling pathway and might be a new target for diagnosis and treatment.

A double burden of tuberculosis and diabetes mellitus and the possible role of vitamin D deficiency

Tuberculosis remains a major global health challenge, particularly in low-to-middle income countries such as China. At the same time, the country is facing a rapidly increasing diabetes incidence over the last 10 years. Diabetes aggravates the tuberculosis epidemic which poses a serious challenge in public health. In recent years, the high prevalence of vitamin D deficiency represents a global health problem, which is also associated with the risk of diabetes, and tuberculosis. Therefore, this review aims to provide an overall and updated understanding of the epidemiology of co-occurrence of tuberculosis and diabetes in China, and to elucidate the possible role of vitamin D deficiency. In conclusion, significant aggravation of the tuberculosis epidemic due to diabetes may exist in China for a relatively long period of time to come. Further, the double burden and its implications to public health in this country may be significantly influenced by the high prevalence of vitamin D deficiency. Bidirectional screening for tuberculosis and diabetes is recommended, and extra vitamin D may benefit especially in a situation of a heavy tuberculosis burden combined with prevalent vitamin D deficiency. Longitudinal studies to verify the role of vitamin D deficiency in the double burden, and trials on the effect of vitamin D supplementation are needed in the future.

Methylation Status of VDR Gene and its Association with Vitamin D Status and VDR Gene Expression in Pediatric Tuberculosis Disease

Deficiency in circulatory vitamin D level and vitamin D receptor DNA methylation could be associated with weakened innate immune response and increased susceptibility to tuberculosis (TB) disease in children. Therefore, we aimed to study the effect of vitamin D receptor (VDR) gene methylation on plasma vitamin D level and the expression of the VDR gene in children with active-TB disease. A cross-sectional comparative study was conducted in 43 children with active-TB and 33 healthy control children (HC). The vitamin D level was measured in plasma, while the levels of VDR gene promoter methylation and VDR gene expression were measured in peripheral blood. Children with active-TB showed a significantly lower median vitamin D level than HC [Cases 17.18 ng/mL (IQR, 8.3-18.6 ng/mL); HC 41.34 ng/mL (IQR, 40.2-43.49 ng/mL) (p<0.0001)] and decreased mRNA expression level of VDR gene [Cases 0.51 (IQR, 0.40-0.70); HC 1.06 (IQR, 0.8-1.2) (p<0.0001)] and increased VDR DNA methylation [Cases 75% (IQR, 50-75%); HC 10% (IQR, 10-25%) (p<0.0001)]. The VDR hypermethylation is significantly associated with reduced vitamin D level and decreased expression level of VDR gene. Therefore this inverse association could be involved in the impairment in the VDR mediated cytolytic and antimicrobial effector cell response in pediatric TB disease.

The inter-talk between Mycobacterium tuberculosis and the epigenetic mechanisms

Epigenetics regulate gene function without any alteration in the DNA sequence. The epigenetics represent one of the most important regulators in different cellular processes and have initially been developed in microorganisms as a protective strategy. The evaluation of the epigenetic mechanisms is also important in achieving an efficient control strategy in tuberculosis (TB). TB is one of the most significant epidemiological concerns in human history. Despite several in vivo and in vitro studies that have evaluated different epigenetic modifications in TB, many aspects of the association between epigenetics and TB are not fully understood. The current paper is aimed at reviewing our knowledge on histone modifications and DNA methylation modifications, as well as miRNAs regulation in TB.

Combining bioinformatics and biological detection to identify novel biomarkers for diagnosis and prognosis of pulmonary tuberculosis

OBJECTIVES

To identify the novel and promising indicators for pulmonary tuberculosis (PTB) patients.

METHODS

The study was carried out between June 2016 and June 2019. Three RNA sequencing or microarray datasets of TB infection were used to identify the potential genes showing a common expression trend. The expression level of screened targets was determined by reverse transcription polymerase chain reaction and ELISA using samples of whole blood and peripheral blood mononuclear cells (PBMCs) isolated from 69 PTB patients and 69 healthy volunteers. The potential of the identified targets to predict the treatment outcomes was further studied.

RESULTS

Bioinformatics analysis demonstrated that a total of 91 genes were up-regulated in all the 3 datasets; among them, the expression of SLAMF8, LILRB4, and IL-10Ra was significantly increased at both the mRNA and protein levels in whole blood and PBMC samples of PTB patients compared with the healthy controls. The mortality rate increased significantly in SLAMF8 or LILRB4 high expression group compared with SLAMF8 or LILRB4 low expression group. Further, the decrease rate of bacteria in patients with SLAMF8 or LILRB4 high expression was slower than that in patients with SLAMF8 or LILRB4 low expression.

CONCLUSION

This study provides a promising way to identify novel indicators for PTB. Moreover, the LILRB4 expression may play a role in predicting the outcome of treatments on PTB patients.

Glutathione deficiency induces epigenetic alterations of vitamin D metabolism genes in the livers of high-fat diet-fed obese mice

Obesity has been correlating with low levels of glutathione (GSH) and 25-hydroxyvitamin D3 (25(OH)VD3). The liver is the principal site for the 25(OH)VD3 biosynthesis. This study investigated whether GSH deficiency induces epigenetic alterations that impair Vitamin D (VD) metabolism genes in the livers of HFD-fed mice. The expression of the VD metabolism genes CYP2R1 and CYP27A1 (25-hydroxylase), CYP27B1 (1-α-hydroxylase), and vitamin D receptor (VDR) were downregulated in the livers of mice fed an HFD (GSH- deficient) compared with control diet-fed group. The expression of CYP24A1 (24-hydroxylase) was significantly increased, which catabolizes both 25(OH)VD3 and 1α,25-hydroxyvitaminD3. Gene-specific hypermethylation of 25-hydroxylase, 1-α-hydroxylase, and VDR, and hypomethylation of CYP24A1 was observed in HFD-fed mice. GSH deficiency induced in cultured hepatocytes caused an increase in oxidative stress and alterations in VD regulatory genes. Similarly, elevated global DNA methylation, Dnmt activity, and 5-methylcytosine but decreased Tet activity and 5-hydroxymethylcytosine were observed in the GSH-deficient hepatocytes and the liver of HFD-fed mice. Replenishment of GSH by its prodrugs treatment beneficially altered epigenetic enzymes, and VD-metabolism genes in hepatocytes. HFD-induces GSH deficiency and epigenetically alters VD-biosynthesis pathway genes. This provides a biochemical mechanism for the VD-deficiency and potential benefits of GSH treatment in reducing 25(OH)VD3-deficiency.

Forecasting the seasonality and trend of pulmonary tuberculosis in Jiangsu Province of China using advanced statistical time-series analyses

Objective

Forecasting the seasonality and trend of pulmonary tuberculosis is important for the rational allocation of health resources; however, this foresting is often hampered by inappropriate prediction methods. In this study, we performed validation research by comparing the accuracy of the autoregressive integrated moving average (ARIMA) model and the back-propagation neural network (BPNN) model in a southeastern province of China.

Methods

We applied the data from 462,214 notified pulmonary tuberculosis cases registered from January 2005 to December 2015 in Jiangsu Province to modulate and construct the ARIMA and BPNN models. Cases registered in 2016 were used to assess the prediction accuracy of the models. The root mean square error (RMSE), mean absolute percentage error (MAPE), mean absolute error (MAE) and mean error rate (MER) were used to evaluate the model fitting and forecasting effect.

Results

During 2005–2015, the annual pulmonary tuberculosis notification rate in Jiangsu Province was 56.35/100,000, ranging from 40.85/100,000 to 79.36/100,000. Through screening and comparison, the ARIMA (0, 1, 2) (0, 1, 1)₁₂ and BPNN (3-9-1) were defined as the optimal fitting models. In the fitting dataset, the RMSE, MAPE, MAE and MER were 0.3901, 6.0498, 0.2740 and 0.0608, respectively, for the ARIMA (0, 1, 2) (0, 1, 1)₁₂ model, 0.3236, 6.0113, 0.2508 and 0.0587, respectively, for the BPNN model. In the forecasting dataset, the RMSE, MAPE, MAE and MER were 0.1758, 4.6041, 0.1368 and 0.0444, respectively, for the ARIMA (0, 1, 2) (0, 1, 1)₁₂ model, and 0.1382, 3.2172, 0.1018 and 0.0330, respectively, for the BPNN model.

Conclusion

Both the ARIMA and BPNN models can be used to predict the seasonality and trend of pulmonary tuberculosis in the Chinese population, but the BPNN model shows better performance. Applying statistical techniques by considering local characteristics may enable more accurate mathematical modeling.

Mycobacterium tuberculosis Beijing genotype strains and unfavourable treatment outcomes: a systematic review and meta-analysis

OBJECTIVES

The Mycobacterium tuberculosis Beijing genotype was first described in 1995 and is now the predominant strain among patients with tuberculosis in many Asian countries. The rapid global spread of the Beijing genotype is receiving increasing attention because it can cause a higher risk of treatment failures. Our objective was to assess the association between the Beijing genotype and unfavourable treatment outcomes of tuberculosis.

METHODS

We searched for eligible studies through PubMed, Web of Science, Chinese National Knowledge Infrastructure and Wanfang Data. We included cohort studies that evaluated treatment outcomes and Beijing genotype strains. Participants were individuals with active pulmonary tuberculosis. The association between Beijing genotype and the risk of unfavourable treatment outcomes was assessed using the pooled odds ratios (ORs) with corresponding confidence intervals (CIs).

RESULTS

In total, 7489 tuberculosis patients were involved in the analysis. Patients infected with the Beijing genotype were more likely to have unfavourable treatment outcomes, with the OR of 2.04 (95% CI 1.52-2.75). The pooled OR was 2.33 (95% CI 1.71-3.16) for recurrence, 2.36 (95% CI 1.69-3.30) for relapse and 2.62 (95% CI 1.90-3.61) for treatment failure, respectively. Subgroup analysis revealed that Beijing genotype was a significant risk factor for unfavourable treatment outcomes in Asians (OR 2.28, 95% CI 1.82-2.86) or in drug-susceptible TB patients (OR 2.11, 95% CI 1.31-3.39). No significant association was observed among non-Asian populations (OR 1.17, 95% CI 0.73-1.86) or patients with multidrug-resistant (MDR) tuberculosis (OR 0.97, 95% CI 0.48-1.94).

CONCLUSIONS

Our results suggest that Mycobacterium tuberculosis Beijing genotype is associated with an increased risk of unfavourable treatment outcomes, including treatment failure and relapse.

Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population

Objective: To investigate suitable forecasting models for tuberculosis (TB) in a Chinese population by comparing the predictive value of the autoregressive integrated moving average (ARIMA) model and the ARIMA-generalized regression neural network (GRNN) hybrid model. Methods: We used the monthly incidence rate of TB in Lianyungang city from January 2007 through June 2016 to construct a fitting model, and we used the incidence rate from July 2016 to December 2016 to evaluate the forecasting accuracy. The root mean square error (RMSE), mean absolute percentage error (MAPE), mean absolute error (MAE) and mean error rate (MER) were used to assess the performance of these models in fitting and forecasting the incidence of TB. Results: The ARIMA (10, 1, 0) (0, 1, 1)₁₂ model was selected from plausible ARIMA models, and the optimal spread value of the ARIMA-GRNN hybrid model was 0.23. For the fitting dataset, the RMSE, MAPE, MAE and MER were 0.5594, 11.5000, 0.4202 and 0.1132, respectively, for the ARIMA (10, 1, 0) (0, 1, 1)₁₂ model, and 0.5259, 11.2181, 0.3992 and 0.1075, respectively, for the ARIMA-GRNN hybrid model. For the forecasting dataset, the RMSE, MAPE, MAE and MER were 0.2805, 8.8797, 0.2261 and 0.0851, respectively, for the ARIMA (10, 1, 0) (0, 1, 1)₁₂ model, and 0.2553, 5.7222, 0.1519 and 0.0571, respectively, for the ARIMA-GRNN hybrid model. Conclusions: The ARIMA-GRNN hybrid model was shown to be superior to the single ARIMA model in predicting the short-term TB incidence in the Chinese population, especially in fitting and forecasting the peak and trough incidence.