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A total of 651 differential genes were screened. Twelve co-expression modules were obtained via WGCNA; of which, one hub module (black module) had the highest correlation with ANCA-GN. A total of 66 intersecting genes

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Background

Cupriavidus pauculus (C. pauculus) is a gram-negative, aerobic, non-lactose-fermenting, motile bacilli with flagella commonly found in environmental samples from the soil and water, including human samples. C. pauculus was formerly known as Ralstonia paucula. Due to the rarity of infection, there is limited understanding of its pathogenesis, but they seem to follow similar trends of other rare opportunistic bacterial infections. Cupriavidus gilardii, Cupriavidus pauculus and Cupriavidus metallidurans have all been implicated in human infections and manifest into a variety of community and nosocomial infections including respiratory infections, meningitis, tenosynovitis, cellulitis, septic arthritis, peritonitis, and sepsis. C. pauculus has the greatest link to opportunistic infection and outbreaks and has been identified in all patients, with most severe cases linked to newborns and the immunocompromised. As such, data for determining antibiotic susceptibility is limited to case reports which typically start with empiric treatment, followed by susceptibility testing to optimize treatment. [1], [2], [3]

A 2020 in vitro study in France performed a test to determine the minimum inhibitory capacity (MIC) of 20 antibiotics for a panel of Cupriavidus clinical strains, mainly from respiratory samples of patients with cystic fibrosis. The experimental panel consisted of 18 strains, including 5 C. pauculus strains. As the C. pauculus and C. metallidurans exhibit similar susceptibility profiles, they were included in the final analysis as a single group. Based on the results, minocycline was the most active antibiotic with very low MICs and 100% susceptibility rate. Cefepime was also highly effective and exhibited similar susceptible and resistant breakpoints. Aminoglycosides were poorly active against Cupriavidus strains and while fluoroquinolones were active against over 80% of Cuprivadus strains, susceptibility was not great for C. pauculus and C. metallidurans. While the findings support use of minocycline and cefepime, clinical data is needed to confirm the optimal treatment of Cupriavidus infections. See Table 1 for reported MICs of C. pauculus and C. metallidurans strains. [1], [2], [3]

A total of 651 differential genes were screened. Twelve co-expression modules were obtained via WGCNA; of which, one hub module (black module) had the highest correlation with ANCA-GN. A total of 66 intersecting genes were acquired by combining differential genes. Five hub genes were subsequently obtained by lasso analysis as potential biomarkers for ANCA-GN. The immune infiltration results revealed the most significant relationship among monocytes, CD4+ T cells and CD8+ T cells. ROC curve analysis demonstrated a prime diagnostic value of the five hub genes. According to the functional enrichment analysis of the differential genes, hub genes were mainly enhanced in immune- and inflammation-related pathways.

A total of 651 differential genes were screened. Twelve co-expression modules were obtained via WGCNA; of which, one hub module (black module) had the highest correlation with ANCA-GN. A total of 66 intersecting genes were acquired by combining differential genes. Five hub genes were subsequently obtained by lasso analysis as potential biomarkers for ANCA-GN. The immune infiltration results revealed the most significant relationship among monocytes, CD4+ T cells and CD8+ T cells. ROC curve analysis demonstrated a prime diagnostic value of the five hub genes. According to the functional enrichment analysis of the differential genes, hub genes were mainly enhanced in immune- and inflammation-related pathways.

Background References: [1] Xia M, Zhao F, Zhang Y, Zheng Z, Zhou Y, Liu T. Eur J Med Res. 2022 Mar 5;27(1):37. doi:10.1186/s40001-022-00666-3.
[2] He B, Quan LP, Cai CY, Yu DY, Yan W, Wei QJ, Zhang Z, Huang XN, Liu L. Front Cardiovasc Med. 2022 Sep 6;9:973279. doi:10.3389/fcvm.2022.973279. eCollection 2022.
[3] Jia Q, Hao RJ, Lu XJ, Sun SQ, Shao JJ, Su X, Huang QF. Front Immunol. 2022 Sep 26;13:1002500. doi:10.3389/fimmu.2022.1002500. eCollection 2022.
Relevant Prescribing Information

A total of 651 differential genes were screened. Twelve co-expression modules were obtained via WGCNA; of which, one hub module (black module) had the highest correlation with ANCA-GN. A total of 66 intersecting genes were acquired by combining differential genes. Five hub genes were subsequently obtained by lasso analysis as potential biomarkers for ANCA-GN. The immune infiltration results revealed the most significant relationship among monocytes, CD4+ T cells and CD8+ T cells. ROC curve analysis demonstrated a prime diagnostic value of the five hub genes. According to the functional enrichment analysis of the differential genes, hub genes were mainly enhanced in immune- and inflammation-related pathways. Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune disease that generally induces the progression of rapidly progressive glomerulonephritis (GN). The purpose of this study was to identify key biomarkers and immune-related pathways involved in the progression of ANCA-associated GN (ANCA-GN) and their relationship with immune cell infiltration.

Relevant Prescribing Information References: [4] Chen K, Zhu CY, Bai JY, Xiao F, Tan S, Zhou Q, Zeng L. Comput Struct Biotechnol J. 2023 Mar 15;21:2228-2240. doi:10.1016/j.csbj.2023.03.019. eCollection 2023
[5] Wu G, Guo W, Zhu S, Fan G. J Oncol. 2023 Mar 7;2023:5355269. doi:10.1155/2023/5355269. eCollection 2023.
Literature Review

A search of the published medical literature revealed 1 study investigating the researchable question:

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Level of evidence

C - Multiple studies with limitations or conflicting results  Read more→



Please see Table 1 for your response.


 

Enter title in bold, with all first words capitalized, and without a reference number

Design

Objective terms describing the type of study (randomized, uncontrolled, retrospective, placebo-controlled, cross-over, etc.); N= (total subjects)

Objective

State the objective (purpose) of the study using the author’s language(usually beginning with “To” and without a period, assuming a non-complete sentence)

Study Groups

Only the separate groups and their cohort number (n) should be listed. You can describe more details of the cohorts in the methods section so this section can stay very succinct.

Inclusion Criteria

Include relevant inclusion criteria (not a comprehensive list).

Exclusion Criteria

Include relevant exclusion criteria (not a comprehensive list).

Methods

This is our most important section. Data collection and any other information needed to understand the results is presented. Any loose ends from all other sections are tied up here, as concisely as possible.

Duration

Include the duration of the trial as a whole, as well as the duration of the interventions.

Outcome Measures

If the primary outcome measure isn’t explicit from the study, all outcome measures applicable to the inquiry can be listed in this section. If the primary outcome measure is explicit, then make separate sections for ‘Primary’ and ‘Secondary’ Outcome Measures.  


All outcome measures listed should correlate directly/exactly with the results presented later.

Baseline Characteristics

 

A

B

 

Age, years

     

Female

     

White

     

---

     

Include relevant baseline characteristics that will provide a general (big picture) view of the patients in the study.

Results

Endpoint

A

B

p-Value

----

     

----

     

All results listed should correlate directly/exactly with the outcome measures presented previously.Results that do not have to do with the inquiry should not be included; just the stated outcomes need corresponding results.


Tables are encouraged to display the most info using the least space/words.

Adverse Events

Common Adverse Events: (or those deemed frequent; if not listed in study, use N/A or “Not disclosed”)

Serious Adverse Events: (or those deemed high risk; if not listed in study, use N/A or “Not disclosed”)

Percentage that Discontinued due to Adverse Events: (if not listed in study, use N/A or “Not disclosed”)

Study Author Conclusions

Copy and paste the author’s conclusions on the question at hand, using full sentences. Don’t include any conclusions that don’t correspond to results we list.

InpharmD Researcher Critique

As the expert, add 1-2 sentences on strengths, weaknesses, and takeaways from this study. Focus on insight as “more research is needed” is obvious.