The COVID-19 pandemic has resulted in a global humanitarian crisis. Despite ongoing research, transmission risks and many disease characteristics remain unclear. Most patients have displayed elevated levels of certain inflammatory markers, which we sought to investigate further in relation to disease severity. The aim of this study was to examine the correlation between inflammatory markers and the severity of COVID-19 among patients. We conducted a cross-sectional study from April to September 2020, involving 143 COVID-19 PCR-positive patients from Ziauddin Hospital. Electronic patient records provided data on demographics, clinical status, and laboratory results. The majority of PCR-positive patients were elderly males with comorbidities such as diabetes and hypertension. Almost all patients exhibited increased levels of various inflammatory markers, with procalcitonin (97.2%) being the most common. Statistically significant differences were observed in the levels of TLC (p=0.005), CRP (p=0.001), LDH (p=0.001), Ferritin (p=0.001), D-dimer (p=0.001), and procalcitonin (p=0.028), in relation to COVID-19 severity. The data suggest a significant association between levels of inflammatory markers and COVID-19 severity. All markers, except procalcitonin, demonstrated a significant correlation with disease severity. These results could enhance our understanding of COVID-19 pathogenesis and help predict and manage severe cases.

Science is digging for the varied presentation of COVID-19 patients exposed to the same risk factors, and medical conditions may be influenced by the presence of polymorphic genetic variants. This study investigated the link between ACE2 gene polymorphisms and the severity of SARS-CoV-2. This cross-sectional study recruited COVID-19 PCR-positive patients by consecutive sampling from Ziauddin Hospital from April to September 2020. DNA was extracted from whole blood, followed by gene amplification and Sanger’s sequencing. Most of the patients, 77: 53.8%, were serious. Males were higher (80; 55.9%) with age more than 50 years (106: 74.1%). We found 22 ACE2 SNPs. rs2285666 SNP was most prevalent with 49.2% CC, 45.2% TT, 4.8% CT heterozygosity, and 0.8% AA genotypes. Variants with multiple genotypes were also insignificantly associated with the severity of COVID-19 in the analysis of the dominant model. Only rs2285666 had a significant statistical link with gender (p-value 0.034, OR; 1.438, CI; 1.028–2.011) while rs768883316 with age groups (p-value 0.026, OR; 1.953, CI; 1.085–3.514). Haplotypes ATC of three polymorphisms (rs560997634, rs201159862, and rs751170930) commonly found in 120 (69.77%) and TTTGTAGTTAGTA haplotype consisting of 13 polymorphisms (rs756737634, rs146991645, rs1601703288, rs1927830489, rs1927831624, rs764947941, rs752242172, rs73195521, rs781378335, rs756597390, rs780478736, rs148006212, rs768583671) in 112 (90.32%) had statistically significant association with the severity having p = value 0.029 and 0.001 respectively. Males of old age and diabetics are found to have more severe COVID-19 infection in the current study. We also found that common ACE2 polymorphism rs2285666 influences the susceptibility of acquiring the severe SARS-CoV-2 infection.

Despite an increasing incidence of Staphylococcus aureus infection and dissemination in Pakistan, the epidemiology of different Staphylococcus aureus research clones has been the subject of only a small number of investigations. By analyzing the collected data sequence, this study was designed to study the epidemiology of Staphylococcus aureus in the area using multilocus sequence typing (MLST). A total of 1015 staphylococcus strains collected from the city's tertiary care facilities were biochemically screened, followed by antimicrobial susceptibility testing against a panel of 13 antibiotics. Analyzed methicillin-resistant Staphylococcus aureus (MRSA) was subjected to molecular characterization using multilocus sequence typing (MLST), clonal complex analysis, recombination testing, and phylogenetic analysis. Approximately 421 bacteria were verified as Staphylococcus aureus by biochemical analysis. 57% of the isolates exhibited multidrug resistance, of which 89% were found to be methicillin-resistant Staphylococcus aureus (MRSA). MLST results in a total of 39 sequence types (ST) and 5 clonal complexes (CC), out of which twenty-two STs were newly documented worldwide. The most common CC identified was CC8. The direct sequencing data also revealed significant shifts at MLST loci, with point mutations resulting in the aroE-343 and tpi-278 alleles. This study concludes that there is high diversity in the locally circulating clones of Staphylococcus aureus present in nature and that they are defined by their geographic epidemiology. These findings have practical implications for public health, including the need for tailored infection control strategies, antibiotic stewardship, global surveillance, and a deeper understanding of bacterial evolution.

Acinetobacter baumannii (A. baumannii) attributes 26% of the mortality rate in hospitalized patients, and the percentage can rise to 46 in patients admitted to ICU as it is a major cause of ventilator‐associated pneumonia. It has been nominated as the critical priority organism by WHO for which new therapeutic drugs are urgently required. To understand the genomic identification of different strains, antimicrobial resistance patterns, and epidemiological typing of organisms, whole‐genome sequencing (WGS) analysis provides insight to explore new epitopes to develop new drugs against the organism. Therefore, the study is aimed at investigating the whole genome sequence of A. baumannii strains to report the new intensifications in its genomic profile. The genome sequences were retrieved from the NCBI database system. Pan‐genome BPGA (Bacterial Pan‐genome Analysis Tool) was used to analyze the core, pan, and species‐specific genome analysis. The pan and core genome curves were extrapolated using the empirical power law equation f(x) = a.xb and the exponential equation f1(x) = c.e (d.x). To identify the resistant genes with resistant mutations against antibiotics, ResFinder and Galaxy Community hub bioinformatics tools were used. According to pan‐genome analysis, there were 2227 core genes present in each species of the A. baumannii genome. Furthermore, the number of accessory genes ranged from 1182 to 1460, and the unique genes in the genome were 931. There were 325 exclusively absent genes in the genome of Acinetobacter baumannii. The pan‐genome analysis showed that there is a 5‐fold increase in the genome of A. baumannii in 5 years, and the genome is still open. There is the addition of multiple unique genes; among them, genes participating in the function of information and processing are increased.

Despite a high incidence of colorectal carcinoma, data regarding genetic aberrations in colorectal carcinoma (CRC) patients in Pakistan is scarce. This study aimed to determine the frequency of BRAFV600E mutations in colorectal carcinoma tissue in the Pakistani population and to associate BRAFV600E expression with CD133, a marker of colorectal stem cells, and CDX2 marker of differentiation. Sanger Sequencing of exon 15 (426 bp) including the hotspot V600E was performed on formalin-fixed-paraffin-embedded (FFPE) CRC tissue samples of 115 patients. The samples were subjected to immunohistochemistry (IHC) to assess the expression of BRAFV600E, CDX2, and CD133. Additionally, homology modelling and docking were performed to investigate novel deletions revealed in sequencing. Twenty-four (20.8%) BRAF variants were identified in the coding region, with V600E mutations detected in 14 (12.2% )cases (GenBank: PP003258.1; Pop Set: 2678087296). Moreover, a wide spectrum of novel non-V600E mutations (8.6%) were identified, including deletions and missense variations. In-silico analysis revealed that due to large deletions in the coding region of three samples, the affinity of the anti-BRAF drugs (Encorafenib and Vemurafenib) for the active site decreased in comparison to the wild type. The IHC analysis showed that BRAFV600E expression was significantly associated with CD133 expression (χ2(1, n=115) = 26.351; p = < 0.001) and with CDX2 expression (χ2(1, n=115) = 14.88; p = 0.001). Multivariate analysis using binary logistic regression revealed association of BRAFV600E mutations with age (OR = 1.123; CI = 1.024–1.232; p = 0.014), gender (OR = 0.071; CI = 0.006–0.831; p = 0.035), grade (0.007; CI = 0-0.644) and CD133 expression (OR = 65.649; CI = 2.153-2001.556; p = 0.016). The present study demonstrates a notably high V600E frequency (12.2%) in comparison to global reported data, which ranges from 0.4 to 18%. This finding reflects the importance of upfront BRAF testing of the genetically distinct population of Pakistan. Previously unreported mutations identified in the sample may be of clinical significance and warrant further investigation. The concomitant high expression and significant association between CD133 and BRAFV600E represent vital actionable genes that may be targeted together to improve CRC patient management.