Association of High Mobility Group Box Protein B1 Gene Polymorphisms with Pneumonia Susceptibility and Severity

Genetic factors contributing to a severe course of pneumonia: a systematic review

The article presents a systematic review of publications devoted to the study of genetic markers of severe pneumonia.

The aim of the study was to compile a list of genetic markers that contribute to a severe course of pneumonia on the basis of the published data.

In the current study, we searched for and analyzed articles published between January 2000 and April 2021. Following the search for and subsequent selection of articles, a list of 10 publications was compiled, which demonstrated a clear association of certain gene variants with severe and complicated pneumonia. Finally, we made a list of genetic markers of severe pneumonia consisting of 16 polymorphisms in 12 genes (CD86, IL6, IL10, PAI1, TNFα, HMGB1, ATG16L1, AGTR1, GCLC, CAT, IFNγ, FCGR2A).

These genetic markers of severe and complicated pneumonia are responsible for various innate immune responses. The odds ratio for complicated pneumonia with a risk allele in the polymorphisms in the mentioned genes ranges from 1.39 to 4.28. To understand molecular and genetic mechanisms of severe pneumonia, further investigation of the effect of these genetic factors on the outcomes of pneumonia in different groups of patients with a simultaneous assessment of the cumulative effect of genetic variants and genetic interactions is required.

Identification of Aggravation-Predicting Gene Polymorphisms in Coronavirus Disease 2019 Patients Using a Candidate Gene Approach Associated With Multiple Phase Pathogenesis: A Study in a Japanese City of 1 Million People

The pathology caused by the coronavirus disease 2019 is mediated by host-mediated lung inflammation, driving severity, and mortality. Polymorphisms in genes encoding host inflammation and immune-related molecules may be associated with the development of serious pathologies, and identifying such gene polymorphisms may lead to the identification of therapeutic targets.

OBJECTIVES

We attempted to identify aggravation-predicting gene polymorphisms.

DESIGN

We use a candidate gene approach associated with multiple phase pathogenesis in coronavirus disease 2019 patients among a cohort in Hiroshima, a city with a population of 1 million, in Japan. DNA samples from the study populations were genotyped for 34 functional polymorphisms from 14 distinct candidate genes, which encode proteins related to viral cell entry, regulation of viral replication, innate immune modulators, regulatory cytokines, and effector cytokines.

SETTING AND PARTICIPANTS

Three core hospitals providing different services for patients with coronavirus disease 2019 under administrative control. A total of 230 patients with coronavirus disease 2019 were recruited from March 1, 2020, to March 31, 2021.

MAIN RESULTS AND MEASUREMENTS

Among the 14 genes, we found rs1131454 in OAS1 and rs1143627 in IL1B genes as independent genetic factors associated with disease severity (adjusted odds ratio = 7.1 and 4.6 in the dominant model, respectively). Furthermore, we investigated the effect of multiple phase pathogenesis of coronavirus disease 2019 with unbiased multifactor dimensionality reduction analysis and identified a four-gene model with rs1131454 (OAS1), rs1143627 (IL1B), rs2074192 (ACE2), and rs11003125 (MBL). By combining these polygenetic factors with polyclinical factors, including age, sex, higher body mass index, and the presence of diabetes and hypertension, we proposed a composite risk model with a high area under the curve, sensitivity, and probability (0.917, 96.4%, and 74.3%, respectively) in the receiver operating characteristic curve analysis.

CONCLUSIONS AND RELEVANCE

We successfully identified significant genetic factors in OAS1 and IL1B genes using a candidate gene approach study as valuable information for further mechanistic investigation and predictive model building.

Association of High-Mobility Group Box 1 (HMGB1) Gene Polymorphisms with Susceptibility and Better Survival Prognosis in Chinese Han Neonatal Necrotizing Enterocolitis

BACKGROUND High-mobility group box 1 (HMGB1) plays a crucial role in a variety of diseases, including neonatal necrotizing enterocolitis (NEC). The purpose of this study was to investigate the association of HMGB1 gene single-nucleotide polymorphisms (SNPs) with susceptibility and survival prognosis in Chinese Han neonates with NEC. MATERIAL AND METHODS The HMGB1 gene rs1360485, rs1045411, and rs2249825 site SNPs were genotyped in all participants. The mRNA expression of serum HMGB1 was examined using quantitative reverse transcription-polymerase chain reaction. The correlation of the HMGB1 rs1360485 SNP with NEC neonatal survival prognosis was evaluated by univariate analysis and logistic multivariate regression analysis. RESULTS The TC and CC genotype and C allele distribution frequencies of the rs1360485 SNP were lower in the NEC group, and the differences were statistically significant (all P<0.05). Individuals carrying the TC and CC genotype or C allele had a low risk of being affected by NEC. However, the genotype and allele distributions of rs1045411 and rs2249825 were not significantly different between the patient and control groups (P>0.05). NEC neonates with HMGB1 gene rs1360485 site mutations had lower mRNA levels of serum HMGB1 than those with rs1360485 site wild-type, and the rs1360485 genotypes TC and CC could independently predict better survival outcomes in NEC neonates. CONCLUSIONS This study demonstrated that the rs1360485 SNP of the HMGB1 gene is associated with susceptibility of NEC in neonates, and the rs1360485 genotypes TC and CC may affect HMGB1 expression and are associated with the survival prognosis of neonates with NEC.

[Role of genetic factors in pneumonia and COVID-19]

Die Pneumonie ist die Infektionskrankheit mit der weltweit höchsten Mortalität. Die häufigsten Erreger sind Bakterien, es gibt jedoch auch epidemisch oder pandemisch auftretende virale Lungenentzündungen durch Influenza- oder Coronaviren, wie die aktuelle Pandemie durch das SARS Coronavirus 3766 Fälle (SARS-CoV-2). Wichtige Herausforderungen liegen neben dem Auftreten von Antibiotikaresistenzen und Immunpathologien etwa in der Sepsis in der Betrachtung der Suszeptibilität individueller Patienten: Hier werden vor allen Dingen das Lebensalter, Medikamente und Komorbiditäten betrachtet. Es gibt jedoch auch klare Hinweise für genetische Einflüsse auf das individuelle Risiko, an einer Pneumonie zu erkranken oder einen schweren Verlauf der Erkrankung zu entwickeln. In diesem Beitrag wollen wir die genetischen Einflüsse auf die Pneumonie und ihre klinische Bedeutung darstellen.

The Impact of HMGB1 Polymorphisms on Prostate Cancer Progression and Clinicopathological Characteristics

Prostate cancer is one of the major cancers of the genitourinary tract. High-mobility group box 1 (HMGB1) was suggested as a promising therapeutic target for prostate cancer. In this study, we aim to elucidate the associations of HMGB1 single nucleotide polymorphisms (SNPs) with prostate cancer susceptibility and clinicopathological characteristics. The HMGB1 SNPs rs1412125, rs2249825, rs1045411, and rs1360485 in 579 prostate cancer patients and 579 cancer-free controls were analyzed with real-time polymerase chain reactions (real-time PCR). All of the data were evaluated with SAS statistical software. Our results showed that the HMGB1 rs1045411 T allele genotype was significantly associated with advanced pathologic T stage (odds ratio (OR) = 1.433, 95% confidence interval (CI) = 1.021–2.012; p = 0.037) and pathologic N1 stage (OR = 2.091, 95% CI = 1.160–3.767; p = 0.012), and the rs1360485 polymorphic CT + TT genotype was associated with pathologic Gleason grade group (4 + 5) (OR = 1.583, 95% CI = 1.017–2.462; p = 0.041), pathologic T stage (3 + 4) (OR = 1.482, 95% CI = 1.061–2.070; p = 0.021), and pathologic N1 stage (OR = 2.131, 95% CI = 1.178–3.852; p = 0.011) compared with their wild-type carriers. In conclusion, our results revealed that the HMGB1 SNPs were associated with the clinical status of prostate cancer. The HMGB1 SNPs may have the potential to predict prostate cancer disease progression.

Decreased Expression of the High Mobility Group Box 1 (HMGB1) Gene in Peripheral Blood in Patients with Mild or Moderate Clostridioides difficile Infection

Cytokines are mediators of inflammation induced in the course of Clostridioides difficile infection (CDI). High Mobility Group Box 1 (HMGB1) is a cytokine playing an important role in the pathogenesis of numerous inflammatory and autoimmune diseases. The aim of the study was to assess the HMGB1 gene expression in the course of CDI. We have performed a prospective case-control study- including 55 adult patients, among them 27 with CDI, who were hospitalized from October 2018 to February 2020 and 28 healthy volunteers. We assessed: a complete blood count with differential leukocyte count, blood creatinine, albumin, and C-reactive protein (CRP) levels. Then, the expression of the HMGB1 gene was evaluated using quantitative Real-Time PCR. Patients with CDI were found to have a significant increase in white blood cells (WBC), neutrophil count, and CRP levels, they also exhibited decreased levels of albumin compared with controls. The HMGB1 gene expression was significantly lower among patients with CDI compared with the control group and significantly, inversely correlated with CRP level in blood. In conclusion, we have observed a decreased expression of the HMGB1 gene in peripheral blood of patients with mild or moderate CDI, which hypothetically could reflect their diminished capability to fight the pathogen.