Alteration in Gut Microbiota Composition of Older Adults Is Associated with Obesity and Its Indices: A Systematic Review

BACKGROUND

Obesity in the older adults is a health concern that increases the risk of several life-threatening diseases. Previous research has been revealed that alterations in the gut microbiota composition is related to obesity. So, understanding the gut microbiota changes in older adults' obesity may help to provide promising strategies for their health management.

OBJECTIVES

Here we conducted a systematic review that investigate the alteration of gut microbiota composition in association with obesity and its indices in the older adults.

DESIGN

Systematic review.

SETTING

A comprehensive systematic search was performed through PubMed, Web of Science, Scopus and Embase databases for all relative studies up to 2023 with the main search concepts as Microbiota, Obesity and Elderly. The data about gut microbiota in association with obesity indices had been extracted.

PARTICIPANTS

Older adults (≥60 years).

INTERVENTION

None.

MEASUREMENTS

None.

RESULTS

Within 10741 recordes, 11 studies met the inclusion criteria and were included in this systematic review. Most of them indicated the gut microbiota alterations in obese compared with non-obese older adults. However, the gut microbiome composition in obese older adults is affected by other underlying diseases like diabetes and metabolic syndrome. The most important taxa that had abundance alteration in association with obesity in older adults were Christensenellaceae, Porphyromonadaceae and Rikenellaceae, Akkermansia, Blautia, Prevotella, Ruminococcus, Bacteroides and Faecalibacterium.

CONCLUSION

The gut microbiota composition is associated with obesity in older adults. Considering the other factors affecting the composition of gut microbiota, such as age, underlying diseases and lifestyle, a more accurate conclusion about this matter requires more future studies.

Evaluation of the Immunogenicity of Recombinant Espb, Espc Proteins from Mycobacterium Tuberculosis and the Fusion Espc/Espb Protein in BALB/C Mice

Background

Two newly identified proteins, EspB and EspC are involved in the pathogenesis of Mycobacterium tuberculosis. The objective of the present study was to evaluate the immunogenicity of recombinant EspC, EspB, and EspC/EspB fusion proteins in mice.

Methods

BALB/c mice were immunized subcutaneously with recombinant EspC, EspB, and fusion EspC/EspB proteins, three times with along with Quil-A as an adjuvant. The cellular and humoral immune responses were evaluated by quantifying IFN-γ, IL-4, IgG, IgG1, and IgG2a antibodies against the antigens.

Results

The results showed that the mice immunized with recombinant EspC, EspB, and EspC/EspB proteins did not produce IL-4, whereas IFN-γ was secreted in response to all three proteins. EspC/EspB group produced significant amounts of IFN-γ in response to stimulation with all the three recombinant proteins (P<0.001). In mice immunized with EspC, high levels of IFN-γ were detected in response to EspC/EspB, and EspC (P<0.0001); while mice immunized with EspB produced lower levels of IFN-γ in response to EspC/EspB, and EspB (P<0.05).Mice immunized with recombinant EspC, EspB, and EspC/EspB proteins exhibited significantly high levels of IgG and IgG2a/IgG1 ratio (P< 0.001). Moreover, high levels of IgG and IgG2a were detected in the sera of mice immunized with EspC/EspB fusion protein.

Conclusions

All the three recombinant proteins induced Th1-type immune responses in mice against EspB and EspC; however, EspC/EspB protein is more desirable due to the presence of epitopes from both EspC and EspB proteins and the production of immune responses against both.

BK polyomavirus in Iranian patients with papillary thyroid cancer: Is it a major future challenge?

BK polyomavirus (BKPyV) is a well-known cause of nephropathy in renal transplant recipients. It has recently received much attention from researchers as a major predisposing factor for various cancers. This study aimed to investigate how BKPyV affected the advancement of papillary thyroid carcinoma (PTC). A total of 1057 samples were tested for BKPyV DNA and RNA, comprising 645 paraffin-embedded PTC biopsy samples (PEBS), 412 fresh biopsy samples (FBS), and 1057 adjacent noncancerous samples. The BKPyV DNA was found in 511 (48.3%) of the specimens, including 347 (84.2%) FBS and 164 (25.4%) PEBS. The mean BKPyV copy number was significantly lower in patients with PEBS (0.5 × 10^-4  ± 0.1 × 10^-4  copies/cell) than in FBS (1.3 × 10^-1  ± 0.2 × 10^-1  copies/cell) and non-PTC normal samples (0.3 × 10^-5  ± 0.04 × 10^-5  copies/cell). The PEBS had lower LT-Ag RNA expression than FBS, and no VP1 gene transcript expression was detected. In conclusion, although our findings indicated the presence of BKPyV in some Iranian PTC patients, more research is needed to corroborate these findings.

Mixed pulmonary infection with four isolates of nontuberculous mycobacteria: a case report of mycobacterium bacteremicum infection

Background

A mixed pulmonary infection of Mycobacterium bacteremicum and three different isolates of nontuberculous mycobacteria (NTM) is an unusual clinical manifestation and have not yet been indicated. In this case report, we reported four isolates of NTM using phenotypic and genotypic test of pulmonary sample in Tehran, Iran.

Case presentation

We report a case of severe pulmonary disease in a 19-year-old male patient with productive cough, shortness of breath, and low-grade fever for several weeks. The C-reactive protein (CRP) level (80.2 mg/L) and erythrocyte sedimentation rate (ESR) (95 mm/h) were high. The computed tomographic scan indicated bronchiectasis, nodular opacities, consolidation, and cavitary lesions on both sides. The result of purified protein derivative (PPD) test was equal to 15 mm. The sequences of hsp65, rpoB, and 16S rDNA genes indicated more than 99% homology to four isolates of nontuberculous mycobacteria (NTM), including Mycobacterium fortuitum, M. chelonae, M. mucogenicum, and M. bacteremicum. We found that all four strains were susceptible to amikacin, cefoxitin, ciprofloxacin, clarithromycin, imipenem, and linezolid. The patient was treated with ciprofloxacin, clarithromycin, and amikacin, along with Montelukast, for five months.

Conclusion

We report a case of severe pulmonary infection by four isolates of NTM. After treatment, the patient reported complete resolution of the signs and a weight gain of 5 kg; also, the CRP and ESR were normal. Nine months after the infection diagnosis, a new CT scan revealed further improvements.

Isolation of nontuberculous mycobacteria species from different water sources: a study of six hospitals in Tehran, Iran

Purpose

Nontuberculous mycobacteria (NTM) are ubiquitous bacteria that are naturally resistant to disinfectants and antibiotics and can colonize systems for supplying drinking water. Therefore, this study aimed to evaluate the prevalence of NTM in the drinking water of six hospitals in Tehran, Iran.

Methods

Totally, 198 water samples were collected. Each water sample was filtered via a membrane filter with a pore size of 0.45 µm and then decontaminated by 0.005% cetylpyridinium chloride. The membrane filters were incubated on two Lowenstein-Jensen media at 25 °C and 37 °C for 8 weeks. The positive cultures were identified with phenotypic tests, and then NTM species were detected according to the hsp65, rpoB, and 16S rDNA genes. Drug susceptibility testing (DST) was also carried out.

Results

Overall, 76 (40.4%) of the isolates were slowly growing mycobacteria (SGM) and 112 (59.6%) of the ones were rapidly growing mycobacteria (RGM). The most common NTM were Mycobacterium aurum, M. gordonae, M. phocaicum, M. mucogenicum, M. kansasii, M. simiae, M. gadium, M. lentiflavum, M. fortuitum, and M. porcinum. Among these 188 samples, NTM ranged from 1 to > 300 colony-forming unit (CFU) /500 mL, with a median of 182 CFU/500 mL. In the infectious department of all hospitals, the amount of CFU was higher than in other parts of the hospitals. The DST findings in this study indicated the diversity of resistance to different drugs. Among RGM, M. mucogenicum was the most susceptible isolate; however, M. fortuitum showed a different resistance pattern. Also, among SGM isolates, M. kansasii and M. simiae, the diversity of DST indicated.

Conclusions

The current study showed NTM strains could be an important component of hospital water supplies and a possible source of nosocomial infections according to the CFU reported in this study. The obtained findings also help clarify the dynamics of NTM variety and distribution in the water systems of hospitals in the research area.

Identification of a novel fully human anti-toxic shock syndrome toxin (TSST)-1 single-chain variable fragment antibody averting TSST-1-induced mitogenesis and cytokine secretion

Background

Staphylococcal superantigens are virulence factors that help the pathogen escape the immune system and develop an infection. Toxic shock syndrome toxin (TSST)-1 is one of the most studied superantigens whose role in toxic shock syndrome and some particular disorders have been demonstrated. Inhibiting TSST-1 production with antibiotics and targeting TSST-1 with monoclonal antibodies might be one of the best strategies to prevent TSST-1-induced cytokines storm followed by lethality.

Results

A novel single-chain variable fragment (scFv), MS473, against TSST-1 was identified by selecting an scFv phage library on the TSST-1 protein. The MS473 scFv showed high affinity and specificity for TSST-1. Moreover, MS473 could significantly prevent TSST-1-induced mitogenicity (the IC₅₀ value: 1.5 µM) and cytokine production.

Conclusion

Using traditional antibiotics with an anti-TSST-1 scFv as a safe and effective agent leads to deleting the infection source and preventing the detrimental effects of the toxin disseminated into the whole body.

Supplementary information

The online version contains supplementary material available at 10.1186/s12896-022-00760-8.

Identification of two neutralizing human single-chain variable fragment antibodies targeting Staphylococcus aureus alpha-hemolysin

OBJECTIVES

The inability of the host immune system to defeat Staphylococcus aureus is due to various secreted virulent factors such as leukocidins, superantigens, and hemolysins, which interrupt the function of immune components. Alpha-hemolysin is one of the most studied cytolysins due to its pronounced effect on developing staphylococcal infections. Alpha-hemolysin-neutralizing antibodies are among the best candidates for blocking the toxin activity and preventing S. aureus pathogenesis.

MATERIALS AND METHODS

A human single-chain variable fragment (scFv) phage display library was biopanned against alpha-hemolysin. The selected phage clones were assessed based on their binding ability to alpha-hemolysin. The binding specificity and affinity of two scFvs (designated SP192 and SP220) to alpha-hemolysin were determined by enzyme-linked immunosorbent assay. Furthermore, the neutralizing activity of SP192 and SP220 was examined by concurrent incubation of rabbit red blood cells (RBCs) with alpha-hemolysin and scFvs.

RESULTS

SP192 and SP220 showed significant binding to alpha-hemolysin compared with the control proteins, including bovine serum albumin, human adiponectin, and toxic shock syndrome toxin-1. Besides, both scFvs showed high-affinity binding to alpha-hemolysin in the nanomolar range (Kaff: 0.9 and 0.7 nM^-1, respectively), leading to marked inhibition of alpha-hemolysin-mediated lysis of rabbit RBCs (73% and 84% inhibition; respectively).

CONCLUSION

SP192 and SP220 scFvs can potentially be used as alpha-hemolysin-neutralizing agents in conjunction with conventional antibiotics to combat S. aureus infections.

Downregulation of ACE, AGTR1, and ACE2 genes mediating SARS-CoV-2 pathogenesis by gut microbiota members and their postbiotics on Caco-2 cells

INTRODUCTION

Coronavirus disease-2019 (COVID-19) is a complex infection caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that can cause also gastrointestinal symptoms. There are various factors that determine the host susceptibility and severity of infection, including the renin-angiotensin system, the immune response, and the gut microbiota. In this regard, we aimed to investigate the gene expression of ACE, AGTR1, ACE2, and TMPRSS2, which mediate SARS-CoV-2 pathogenesis by Akkermansia muciniphila, Faecalibacterium prausnitzii, Bacteroides thetaiotaomicron, and Bacteroides fragilis on Caco-2 cells. Also, the enrichment analysis considering the studied genes was analyzed on raw data from the microarray analysis of COVID-19 patients.

MATERIALS AND METHODS

Caco-2 cells were treated with live, heat-inactivated form and cell free supernatants of A. muciniphila, F. prausnitzii, B. thetaiotaomicron and B. fragilis for overnight. After RNA extraction and cDNA synthesis, the expression of studied genes was assessed by RT-qPCR. DNA methylation of studied genes was analyzed by Partek® Genomics Suite® software on the GSE174818 dataset. We used GSE164805 and GSE166552 datasets from COVID-19 patients to perform enrichment analysis by considering the mentioned genes via GEO2R, DAVID. Finally, the related microRNAs to GO terms concerned on the studied genes were identified by miRPath.

RESULTS

The downregulation of ACE, AGTR1, and ACE2 genes by A. muciniphila, F. prausnitzii, B. thetaiotaomicron, and B. fragilis in live, heat-inactivated, and cell-free supernatants was reported for the first time. These genes had hypomethylated DNA status in COVID-19 patients' raw data. The highest fold enrichment in upregulated RAS pathways and immune responses belonged to ACE, AGTR1, and ACE2 by considering the protein-protein interaction network. The common miRNAs targeting the studied genes were reported as miR-124-3p and miR-26b-5p. In combination with our experimental data and bioinformatic analysis, we showed the potential of A. muciniphila, F. prausnitzii, B. thetaiotaomicron, and B. fragilis and postbiotics to reduce ACE, ATR1, and ACE2 expression, which are essential genes that drive upregulated biological processes in COVID-19 patients.

CONCLUSION

Accordingly, due to the potential of studied bacteria on the alteration of ACE, AGTR1, ACE2 genes expression, understanding their correlation with demonstrated miRNAs expression could be valuable. These findings suggest the importance of considering targeted gut microbiota intervention when designing the possible therapeutic strategy for controlling the COVID-19.

Traces of JC polyomavirus in papillary thyroid cancer: a comprehensive study in Iran

Background

JC polyomavirus (JCPyV) is known to induce solid tumors such as astrocytomas, glioblastomas, and neuroblastomas in experimental animals, and recent studies have shown that the virus may be correlated with carcinogenesis. This study aimed to evaluate the impact of JCPyV on the progression of papillary thyroid cancer (PTC).

Methods

A total of 1057 samples, including 645 paraffin-embedded PTC biopsy samples (PEBS) and 412 fresh biopsy samples (FBS), and 1057 adjacent non-cancerous samples were evaluated for the presence of JCPyV DNA and RNA.

Results

We observed that 10.8% (114/1057) samples, including 17.5% (72/412) FBS and 6.5% (42/645) PEBS were positive for the JCPyV DNA. Among the JCPyV-positive samples, the mean JCPyV copy number was lower in patients with PEBS (0.3 × 10^–4 ± 0.1 × 10^–4 copies/cell) compared to FBS (1.8 × 10^–1 ± 0.4 × 10^–1 copies/cell) and non-PTC normal samples (0.2 × 10^–5 ± 0.01 × 10^–5 copies/cell), with a statistically significant difference (P < 0.001). The LT-Ag RNA expression was lower in PEBS than in FBS, while no VP1 gene transcript expression was found.

Conclusions

Although our results confirmed the presence of JCPyV in some Iranian patients with PTC, more research is needed to verify these results.

The shortcut of mycobacterial interspersed repetitive unit-variable number tandem repeat typing for Mycobacterium tuberculosis differentiation

The 24-loci mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) genotyping has been used as an international standard method for Mycobacterium tuberculosis (Mtb) genotyping. However, different optimized VNTR loci sets for improving the discrimination of specific Mtb genotypes have been proposed. In this regard, we investigated the efficacy of accumulation of the percentage differences (APDs) compared with the least absolute shrinkage and selection operator (LASSO) regression strategy to identify a customized genotype-specific VNTR loci set which provides a resolution comparable to 24-loci MIRU-VNTR in divergent Mtb populations. We utilized Spoligotyping and 24-loci MIRU-VNTR typing for genotyping 306 Mtb isolates. The APD and LASSO regression approaches were used to identify a customized VNTR set in our studied isolates. Besides, the Hunter-Gaston discriminatory index (HGDI), sensitivity, and specificity of each selected loci set were calculated based on both strategies. The selected loci based on LASSO regression compared with APD-based loci showed a better discriminatory power for identifying all studied genotypes except for T genotype, which APD-based loci showed promising discriminative power. Our findings suggested the LASSO regression rather than the APD approach is more effective in the determination of possible discriminative VNTR loci set to precise discrimination of our studied Mtb population and may be beneficial to be used in finding reduced number loci sets in other Mtb genotypes or sublineages. Moreover, we proposed customized genotype-specific MIRU-VNTR loci sets based on the LASSO regression and APD approaches for precise Mtb strains identification. As the proposed VNTR sets offered a comparable discriminatory power to the standard 24 MIRU-VNTR loci set could be promising alternatives to the standard genotyping for using in resource-limited settings.

Anti-Acinetobacter baumannii single-chain variable fragments show direct bactericidal activity

Objectives

The high resistance rate of Acinetobacter baumannii and the limited number of available antibiotics have prompted a worldwide effort to develop effective antimicrobial agents. Accordingly, identifying single-chain variable fragment antibodies (scFvs), capable of exerting direct antibacterial activity in an immune system-independent manner, may be making immunocompromised patients more susceptible to A. baumannii infections.

Materials and Methods

To isolate bactericidal scFvs targeting A. baumannii, we panned a large human scFv phage display library against whole-cell extensively drug-resistant (XDR) A. baumannii strains grown as biofilm or cultured with human blood or human peripheral blood mononuclear cells plus plasma. The binding of scFv-phages to A. baumannii was assessed by the dot-blot assay. Soluble scFvs, derived from the selected phages, were assessed based on their ability to bind and inhibit the growth of A. baumannii.

Results

Five phage clones showed the highest reactivity toward A. baumannii. Among five soluble scFvs, derived from positive phage clones, two scFvs, EB211 and EB279, had high expression yields and displayed strong binding to A. baumannii compared with the controls. Moreover, XDR A. baumannii strains treated with positively-charged scFvs, including EB211, EB279, or a cocktail of EB211 and EB279 (200 µg/ml), displayed lower viability (approximately 50%, 78%, and 40% viability, respectively) compared with PBS-treated bacteria.

Conclusion

These results suggest that combining last-resort antibiotics with bactericidal scFvs could provide promising outcomes in immunocompromised individuals with A. baumannii infections.

Recognition of specific immunogenic antigens with potential diagnostic value in multi-drug resistant Mycobacterium tuberculosis inducing humoral immunity in MDR-TB patients

Tuberculosis (TB) as a public health crisis is caused by the intracellular bacterium Mycobacterium tuberculosis. Detection of immunogenic proteins in TB is valuable for the development of diagnostic tests, vaccine formulations and monitoring treatment outcome. In this study, we differentiated the immune-reactivity of proteins in multidrug-resistant tuberculosis (MDRTB) and drug-susceptible strains using purified anti-MDRTB antibodies isolated from inpatients. Our data showed that the anti- MDRTB antibody was well able to detect the MDR strain in the patient's sputum. The immunogenic proteins of MDRTB were purified by affinity chromatography and subjected to matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry. Analysis of the data revealed that seven MDRTB immunogenic proteins, including Rv2986c (HupB), Rv3699, Rv1133c (MetE), Rv0440 (GroEL), Rv3057c, Rv2558 and Rv2971 are involved in DNA stability, metabolism, cellular processes and some unknown functions. Similarities in the electrophoresis protein profiles were evident between the extracts of MDR and sensitive TB strains. However, the protein expression patterns of MDRTB isolates were distinguishable from that formed by susceptible TB strains.

Immobilization of modular peptides on graphene cocktail for differentiation of human mesenchymal stem cells to hepatic-like cells

In this study, two novel biomimetic modular peptide motifs based on the alpha-2 subunit of type IV collagen (CO4A2) were designed and immobilized on a graphene platform to imitate integrin and heparan sulfate- (HS-) binding proteins. The in silico study was used to design 9-mer K[KGDRGD]AG and 10-mer KK[SGDRGD]AG for testing designed Integrin-Binding Peptide (dIBP) and HS-Binding Peptide (dHBP). The virtual docking technique was used to optimize the peptide motifs and their relevant receptors. Molecular dynamic (MD) simulation was used to evaluate the stability of peptide-receptor complexes. The effect of the platform on the differentiation of human mesenchymal stem cells (hMSCs) to hepatic-like cells (HLCs) was evaluated. After differentiation, some hepatic cells’ molecular markers such as albumin, AFP, CK-18, and CK-19 were successfully followed. Graphene-heparan sulfate binding peptide (G-HSBP) enhances the mature hepatic markers’ expression instead of control (p ≤ 0.05). The pathological study showed that the designed platform is safe, and no adverse effects were seen till 21 days after implantation.

Gut microbiota in burned patients with Clostridioides difficile infection

BACKGROUND

The survival rate of patients with severe burn is positively associated with increasing the incidence of the Clostridioides difficile (C. difficile) infection (CDI). The surviving rate of severe burn patients now has an improved but the incidence of Clostridioides difficile (C. difficile) infection (CDI) has been continues increasing during recent two decades. This study assessed the molecular typing and phenotypic characterization isolates of C. difficile in burn patients with diarrhea, as well as environmental and skin infections with C. difficile spores at a referral burn hospital in Isfahan, Iran. It mainly aimed to evaluate the dominant bacterial structure in the gut microbiome of burned subjects with and without CDI.

METHODS

In general, 309 samples were collected from 189 burned patients with hospital-acquired diarrhea and 120 swabs were collected from the healthcare workers' dominant hands, different sites of patients' skin, and medical tools. In addition, C. difficile isolates were characterized considering the existence of antibiotic resistance and toxin genes. Clinical cultures with identification of organisms and antibiotic susceptibility were done. C. difficle isolates were then genotyped and compared to clinical outcomes. Finally, the clinical characteristics of the participants were gathered through their records, and the bacterial targets of the gut microbiome were detected using quantitative real-time polymerase chain reaction (PCR).

RESULTS

Based on the findings, 51 C. difficile isolates were detected from 189 severe burn patients hospitalized in the hospital. Further, PCR amplification tcdB and tcdA showed 23 isolates (12.2%) as toxigenic. Overall, 18.3% (22/120) of skin and environment samples demonstrated a positive result for C. difficile colonization. A low concentration of metronidazole and vancomycin (MIC90, 0.5, and 1.2 mg/L) inhibited all toxigenic C. difficile strains. Moreover, these isolates represented the highest rates of resistance to moxifloxacin and clindamycin (MIC90, 0.5, and 1.6 mg/L). A significantly reduced abundance of Clostridium spp., Bacteroidetes, and Bifidobacterium and an increase in the quantity of Firmicutes was observed in the gastrointestinal microbiome of burn patients (P < 0.01). Burn patients with CDI showed a significant decrease in Faecalibacterium prausnitzii (F. prausnitzii) while higher Akkermansia muciniphila (A. muciniphila) loads in comparison with healthy controls (P < 0.001 and P < 0.05). Contrarily, burned cases displayed increased levels of opportunistic pathogenic bacteria including the members of Enterococcus spp. and Escherichia coli (P < 0.05).

CONCLUSIONS

Despite appropriate infection control strategies in the burn intensive care unit, CDI remains prevalent in severe burn patients. Eventually, the overgrowth of A. muciniphila and the decreased abundance of F. prausnitzii in burn cases with CDI could be potential predictive microbiome biomarkers in burned patients.

Improving the Diagnostic Potential of Extracellular miRNAs Coupled to Multiomics Data by Exploiting the Power of Artificial Intelligence

In recent years, the clinical use of extracellular miRNAs as potential biomarkers of disease has increasingly emerged as a new and powerful tool. Serum, urine, saliva and stool contain miRNAs that can exert regulatory effects not only in surrounding epithelial cells but can also modulate bacterial gene expression, thus acting as a “master regulator” of many biological processes. We think that in order to have a holistic picture of the health status of an individual, we have to consider comprehensively many “omics” data, such as miRNAs profiling form different parts of the body and their interactions with cells and bacteria. Moreover, Artificial Intelligence (AI) and Machine Learning (ML) algorithms coupled to other multiomics data (i.e., big data) could help researchers to classify better the patient’s molecular characteristics and drive clinicians to identify personalized therapeutic strategies. Here, we highlight how the integration of “multiomic” data (i.e., miRNAs profiling and microbiota signature) with other omics (i.e., metabolomics, exposomics) analyzed by AI algorithms could improve the diagnostic and prognostic potential of specific biomarkers of disease.

The global scientific publications on gut microbiota in type 2 diabetes; a bibliometric, Scientometric, and descriptive analysis

Background

Modifying gut dysbiosis has achieved great success in managing type 2 diabetes mellitus (T2DM) and also T2DM affected the gut microbial composition.

Objectives

To determine the research trend of scientific publications on the relationship between gut microbiota and T2DM through a bibliometric and descriptive approach.

Method

We included originals and reviews related to both topics of gut microbiota and T2DM through searching in Scopus up to 31 December 2019 and then characterized their bibliometric profiles including the number of publications, citations, institutions, journals, countries, and the collaboration network of authors, countries, terms and keywords. Moreover, we performed a descriptive evaluation of the clinical trials based on their intervention type and its influence on gut dysbiosis.

Results

We achieved 877 articles (436 originals and 441 reviews) according to our inclusion criteria. The annual publications were constantly increased over time and reached 220 publications in 2019. Out of 436 original articles, 231 animal studies and 174 human studies were found. The majority of human studies were clinical trials (n = 77) investigating the influence of drugs (n = 21), regimens (n = 21), pre/pro/symbiotic (n = 19), surgeries (n = 15), or both drug and regimen (n = 1) on gut dysbiosis. Roux-en-Y gastric bypass and metformin were assessed the most in these trials. Obesity side by side T2DM has been assessed in this area of literature based on term and keyword analyses showing their possible similar pathways mediated by gut microbiota.

Conclusion

The exponentially growing documents on gut microbiota and T2DM had been published during the last decade and revealed gut microbiota alteration mediated antidiabetic effect of many interventions. Thus, we suggest other researchers to consider this pathway in efficacy assessment of therapeutic modalities and to find the optimal composition of gut microbiota that guarantees healthy insulin sensitivity.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-021-00920-1.

Correlation between Legionella pneumophila serogroups isolated from patients with ventilator-associated pneumonia and water resources: a study of four hospitals in Tehran, Iran

Legionella pneumophila (L. pneumophila) is one of the main pathogens, causing pneumonia and respiratory tract infections, especially in patients with ventilator-associated pneumonia (VAP). This study aimed to approve the hypothesis that the serogroup distribution of L. pneumophila isolates from patients is correlated with Legionella strains in the environment. A total of 280 bronchoalveolar lavage (BAL) samples from VAP patients admitted to the intensive care unit (ICU) as well as 116 water samples from different sources in four hospitals in Tehran, Iran, were evaluated for the presence of L. pneumophila infection by culture, nested polymerase chain reaction (PCR), real-time PCR, and sequencing for genetic diversity. The molecular and culture methods found 24 (8.6%) and 5 (1.8%) samples to be positive for L. pneumophila in VAP patients, while they found 23 (19.8%) and 8 (6.9%) positive samples in water resources, respectively. The sequencing results indicated that all positive clinical samples and 14 (60.8%) environmental samples were belonged to L. pneumophila serogroup 1. Smoking, age, length of ICU stay, and duration of ventilator use had strong relationship with L. pneumophila infectivity. In conclusion, this is the first report from Iran to determine minor differences in the serogroup distribution of environmental and clinical strains. However, further studies are needed to confirm this relationship in different regions of Iran.

Detection of Mimivirus from respiratory samples in tuberculosis-suspected patients

Acanthamoeba polyphaga mimivirus (APMV), a species of amoeba-infecting giant viruses, has recently emerged as human respiratory pathogens. This study aimed to evaluate the presence of Mimivirus in respiratory samples, collected from tuberculosis (TB)-suspected patients. The study was performed on 10,166 clinical respiratory samples from April 2013 to December 2017. Mimivirus was detected using a suicide nested-polymerase chain reaction (PCR) and real-time PCR methods. Of 10,166 TB-suspected patients, 4 (0.04%) were positive for Mimivirus, including Mimivirus-53, Mimivirus-186, Mimivirus-1291, and Mimivirus-1922. Three out of four patients, hospitalized in the intensive care unit (ICU), were mechanically ventilated. All patients had an underlying disease, and the virus was detected in both sputum and bronchoalveolar lavage samples. In conclusion, Mimivirus was isolated from TB-suspected patients in a comprehensive study. The present results, similar to previous reports, showed that Mimiviruses could be related to pneumonia. Further studies in different parts of the world are needed to additional investigate the clinical importance of Mimivirus infection.

Gas chromatography-mass spectrometry-based untargeted metabolomics reveals metabolic perturbations in medullary thyroid carcinoma

Medullary thyroid cancer (MTC) is a rare tumor that arises from parafollicular cells within the thyroid gland. The molecular mechanism underlying MTC has not yet been fully understood. Here, we aimed to perform plasma metabolomics profiling of MTC patients to explore the perturbation of metabolic pathways contributing to MTC tumorigenesis. Plasma samples from 20 MTC patients and 20 healthy subjects were obtained to carry out an untargeted metabolomics by gas chromatography–mass spectrometry. Multivariate and univariate analyses were employed as diagnostic tools via MetaboAnalyst and SIMCA software. A total of 76 features were structurally annotated; among them, 13 metabolites were selected to be differentially expressed in MTC patients compared to controls (P < 0.05). These metabolites were mainly associated with the biosynthesis of unsaturated fatty acids and amino acid metabolisms, mostly leucine, glutamine, and glutamate, tightly responsible for tumor cells' energy production. Moreover, according to the receiver operating characteristic curve analysis, metabolites with the area under the curve (AUC) value up to 0.90, including linoleic acid (AUC = 0.935), linolenic acid (AUC = 0.92), and leucine (AUC = 0.948) could discriminate MTC from healthy individuals. This preliminary work contributes to existing knowledge of MTC metabolism by providing evidence of a distinctive metabolic profile in MTC patients relying on the metabolomics approach.

RNA Expression Analysis of Mycobacterial Methyltransferases Genes in Different Resistant Strains of Mycobacterium tuberculosis

BACKGROUND

Tuberculosis infection still represents a global health issue affecting patients worldwide. Strategies for its control may be not as effective as it should be, specifically in case of resistant strains of Mycobacterium tuberculosis (M.tb.) In this regard, the role of mycobacterial methyltransferases (MTases) in TB infection can be fundamental, though it has not been broadly deciphered.

METHODS

Five resistant isolates of M.tb were obtained. M.tb H37Rv (ATCC 27249) was used as a reference strain. Seven putative mycobacterial MTase genes (Rv0645c, Rv2966c, Rv1988, Rv1694, Rv3919c, Rv2756c, and Rv3263) and Rv1392 as SAM synthase were selected for analysis. PCR-sequencing and qRT-PCR were performed to compare mutations and expression levels of MTases in different strains. The 2-ΔΔCt method was employed to calculate the relative expression levels of these genes.

RESULTS

Only two mutations were found in isoniazid resistance (INHR) strain for Rv3919c (T to G in codon 341) and Rv1392 (G to A in codon 97) genes. Overexpression of Rv0645c, Rv2756c, Rv3263, and Rv2966c was detected in all sensitive and resistant isolates. However, Rv1988 and Rv3919c decreased and Rv1694 increased in the sensitive strains. The Rv1392 expression level also decreased in INHR isolate.

CONCLUSION

We found a correlation between mycobacterial MTases expression and resistance to antibiotics in M.tb strains. Some MTases undeniably are virulence factors that specifically hijack the host defense mechanism. Further evaluations are needed to explore the complete impact of mycobacterial MTases within specific strains of M.tb to introduce novel diagnosis and treatment strategies.