Molecular Biology Reports最新文献

Background: Lung cancer (LC) is the most common form of cancer in the world. Of the proteins involved in cell differentiation and proliferation, the epidermal growth factor receptor (EGFR) is among the most significant. Amino acids play a crucial role in cell physiology as metabolic regulators. The benefits of liquid biopsies are their non-invasive nature, ease of collection, and ability to depict the entire tumor's status. The present study is designed to detect the relation between the EGFR exon 19 747-750 deletion mutation and lung cancer and investigate the patterns of alterations of plasma-free amino acids (PFAA) in lung cancer patients of different histopathological types and stages as biomarkers for early detection of lung cancer.

Methods: The study sample comprised 60 lung cancer patients and 60 age- and sex-matched healthy individuals as the control group. Polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) were used to examine the EGFR exon 19 747-750 deletion mutation, and an AA analyzer was used to quantify the plasma free amino acid (PFAA) profile.

Results: Compared with controls, LC patients had significantly higher levels of three AAs and significantly lower levels of fifteen AAs. Thirteen AAs varied significantly between stages I and II. In the lung cancer group, the percentage of cases of mutant EGFR exon-19 deletion increased to 30% from 13.3% in the control group. The histological forms of lung cancer did not significantly differ in this rise. Valine and citrulline plasma levels were substantially greater in the mutant than in the wild-type. Lysine, histidine, and methionine were the independent predictors of the LC group in multivariate analysis.

Conclusion: Lung cancer development is influenced by the EGFR exon 19 747-750 deletion mutation, and the prognosis and early prediction of lung cancer are greatly affected by the amino acid profile concentrations.

Background: AGAMOUS-LIKE 8 (AGL8) belongs to the MADS-box family, which plays important roles in transcriptional regulation, sequence-specific DNA binding and other biological processes and molecular functions. The genome of cotton, a representative polyploid plant, contains multiple AGL8 genes. However, their functional differentiation is still unclear.

Methods and results: In this study, a comprehensive genomic analysis of AGL8 genes was conducted. Cotton AGL8s were subdivided into four subgroups (Groups 1, 2, 3, and 4) based on phylogenetic analysis, and different subgroups of AGL8s presented different characteristics, including different structures and conserved motifs. With respect to the promoter regions of the GhAGL8 genes, we successfully predicted cis-elements that respond to phytohormone signal transduction and the stress response of plants. Transcriptome data and real-time quantitative PCR validation indicated that three genes, namely, GH_D07G0744, GH_A03G0856 and GH_A07G0749, were highly induced by methyl jasmonate (MeJA), salicylic acid (SA), and abscisic acid (ABA), which indicated that they function in plant resistance to abiotic and biotic stresses.

Conclusions: The information from the gene structure, number and types of conserved domains, tissue-specific expression levels, and expression patterns under different treatments highlights the differences in sequence and function of the cotton AGL8 genes. Different AGL8s play roles in vegetative growth, reproductive development, and plant stress resistance. These results lay a foundation for further study of GhAGL8s in cotton.

Background: Lung cancer is recognized as one of the leading causes of cancer-related deaths globally, with a significant increase in incidence and intricate pathogenic mechanisms. This study examines the expression profiles of Programmed Cell Death Protein 1 (PD-1), PD-1 ligand (PDL-1), β-catenin, CD44, interleukin 6 (IL-6), and interleukin 10 (IL-10), as well as their correlations with the clinic-pathological features and diagnostic significance in lung cancer patients.

Methods and results: The research involved lung cancer patients exhibiting various pathological characteristics, alongside demographically matched healthy controls. The expression levels of PD-1, PDL-1, β-catenin, and CD44 were analyzed using Real-Time PCR, while circulating levels of IL-6 and IL-10 were assessed through ELISA assays. This investigation focused on peripheral blood mononuclear cells (PBMC) to evaluate these factors non-invasively. Findings indicated that levels of PD-1, PDL-1, and CD44 were significantly elevated in patients compared to controls, which coincided with a decrease in β-catenin levels. Additionally, a concurrent rise in IL-6 and IL-10, both pro-inflammatory cytokines, was observed in patients, suggesting a potential regulatory role for these cytokines on the PD-1/PDL-1 axis, which may help tumors evade immune system checkpoints. The predictive value of these factors concerning lung tumors and metastasis was significant (Regression analysis). Furthermore, these markers demonstrated diagnostic potential in differentiating between patients and healthy controls, as well as between individuals with metastatic and non-metastatic tumors (ROC curve analysis).

Conclusions: This study provides insights into the expression profiles of PD-1/PDL-1 immune system checkpoints and their regulatory factors in lung cancer, potentially paving the way for new therapeutic and diagnostic approaches.

Background: Central nervous system lymphoma (CNSL) is a devastating disease with a poor prognosis. Early diagnosis, monitoring of the treatment response, and outcome prediction carry the utmost importance in the management of patients with CNSL. Surgical biopsy is the gold standard for tissue diagnosis, however, this procedure has potential complications. Therefore, there is a need for a method that provides information about diagnosis and patient monitoring to avoid surgical risks. The study aimed to investigate potential diagnostic biomarkers for patients with CNSL.

Methods and results: Patients with secondary CNSL were included in this study. Serum and cerebrospinal fluid (CSF) samples were collected before treatment and after completion of the treatment. Cell-free DNA (cfDNA), exosomes, free and exosomal microRNA (miR)-15a, miR-21, miR-155, miR-210, and miR-19b in both serum and CSF were examined, and they were compared with the controls. Also, their levels before and after treatment were compared. Nine patients with the diagnosis of secondary CNSL were reviewed. cfDNA, miR-15a, and miR-155 in serum, and exosome in CSF were found to be significantly higher in CNSL patients compared to the controls. Exosomal miR-15a, miR-21, miR-155, miR-210, and miR-19b in CSF were found to be significantly higher in CNSL patients compared to controls, whereas their levels in serum were not significantly high.

Conclusions: Our findings suggested that exosomes and exosomal miR-15a, miR-21, miR-155, miR-210 and miR-19b in CSF would be promising biomarkers for the diagnosis of patients with CNSL. Further studies are needed to confirm our findings.

Background: Single Nucleotide polymorphisms (SNPs) in MMP8 and MMP9 have been widely associated with breast cancer risk in different ethnicities with inconsistent results. There is no such study conducted so far in the Pashtun population of Khyber Pakhtunkhwa, Pakistan. Therefore, this study was conducted to check MMP8 (rs11225395) and MMP9 (rs3787268) polymorphism with breast cancer risk in the selected population.

Methods: This study, consisting of 300 breast cancer patients and 168 gender and age-matched healthy controls was subjected to confirm MMP8 and MMP9 polymorphisms. Clinicopathological data and blood samples were taken from all the participants. DNA was extracted and SNPs were confirmed using the T-ARMS-PCR protocol.

Results: Based on our study results, significant associations were observed between the MMP8 rs11225395 risk allele (G) and increased breast cancer risk, with the G allele frequency higher in patients (65%) compared to controls (51%) (OR = 1.752, 95% CI = 1.423-3.662, p = 0.002). Genotypes GG (OR = 4.218, p = 0.005) and AG (OR = 7.286, p = 0.0001) of MMP8 rs11225395 were also significantly associated with elevated breast cancer risk. Similarly, MMP9 rs3787268 exhibited a higher frequency of the risk allele (A) in breast cancer cases (81%) compared to controls (41%), correlating strongly with increased risk (OR = 6.320, p = 0.0001). Genotypes AA (OR = 14.500, p = 0.0001) and AG (OR = 2.429, p = 0.077) of MMP9 rs3787268 containing the risk allele showed significant associations with heightened breast cancer risk. Subgroup analyses based on age, disease progression, tumor size, and grade revealed noteworthy associations for both MMP8 rs11225395 and MMP9 rs3787268. MMP8 rs11225395 genotypes displayed significant correlations with age (p = 0.066), disease progression (p = 0.0001), larger tumor size (p = 0.005), and higher tumor grade (p = 0.006). Similarly, MMP9 rs3787268 genotypes were significantly associated with age (p = 0.001), disease progression (p = 0.010), larger tumor size (p = 0.018), and higher tumor grade (p = 0.037). Logistic regression analyses further underscored these genetic variants' potential role as biomarkers in breast cancer, particularly in relation to specific hormone receptor statuses such as estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) positivity.

Conclusion: The results revealed significant associations between the mutant alleles and genotypes of MMP8 (rs11225395) and MMP9 (rs3787268) with increased breast cancer risk in the Pashtun population of Khyber Pakhtunkhwa, Pakistan. However, more investigation will be required on large data sets to confirm the selected SNPs and other SNPs in the selected and other related genes with the risk of breast cancer.

Background: Peste des Petits Ruminants (PPR) is an economically significant transboundary viral disease of sheep and goats caused by the PPRV virus, affecting annual losses of 1.45-2.10 billion US dollars globally. We designed the current study to evaluate the positive cases, molecular characterization, phylogenetic analysis, and risk factors correlated with the disease in various districts of Khyber Pakhtunkhwa, Pakistan, with the aim of contributing to these strategies.

Methods and results: A total of 384 samples from three selected districts, i.e., Peshawar, Charsadda and Chitral (n = 128 each), were collected, and the virus was investigated by using the sandwich ELISA, while the N gene of the virus was used as a target for molecular detection via RT-PCR. The confirmed samples were then sequenced, and phylogenetic analysis was performed. According to our findings, the highest positive cases was found in district Peshawar (50.87%), followed by Charsadda and Chitral (24.56%), respectively, while risk factor analysis showed that certain categories, such as species, sex, and age less than two years, have higher risk (P < 0.05) in contrast to their respective categories. Furthermore, sequencing and phylogenetic analysis of representative samples showed that the PPRV strains in the current study clustered in lineage IV, which is circulating in the small ruminant population of Asia, the Middle East, and African countries. Comparative residue analysis highlighted the mutation by representing 242 variable sites out of 371 locations.

Conclusions: PPRV has foremost importance in Pakistan because the virus was detected in a considerable number of samples, and most of which were sourced from subsidiary areas where veterinary services are not prioritized.

Background: The butterfly assemblage of Ladakh Trans-Himalaya demands a thorough analysis of their population genetic structure owing to their typical biogeographic affinity and their adaptability to extreme cold-desert climates. No such effort has been taken till date, and in this backdrop, we created a COI barcode reference library of 60 specimens representing 23 species.

Methods and results: Barcodes were generated from freshly collected leg samples using the Sanger sequencing method, followed by phylogenetic clade analyses and divergence calculation. Our data represents 22% of Ladakh's Rhopaloceran fauna with the novel barcode submission for six species, including one Schedule II species, Paralasa mani. Contrary to the 3% threshold rule, the interspecific divergence between two species pairs of typical mountain genus Hyponephele and Karanasa was found to be 2.3% and 2.2%, respectively. The addition of conspecific global barcodes revealed that most species showed little increase in divergence value, while a two-fold increase was noted in a few species. Bayesian clade clustering outcomes largely aligned with current morphological classifications, forming monophyletic clades of conspecific barcodes, with only minor exceptions observed for the taxonomically complicated genus Polyommatus and misidentified records of Aulocera in the database. We also observed variations within the same phylogenetic clades forming nested lineages, which may be attributed to the taxonomic intricacies present at the subspecies level globally, mostly among Eurasian species.

Conclusions: Overall, our effort not only substantiated the effectiveness of DNA Barcoding for the identification and conservation of this climatically vulnerable assemblage but also highlighted the significance of deciphering the unique genetic composition among this geographically isolated population of Ladakh butterflies.

Background: Fatty liver disease is a metabolic disorder that recently has been classified into two categories: metabolic dysfunction-associated fatty liver disease (MAFLD) and non-MAFLD. TGF-β signaling pathway is likely a significant factor in the pathogenesis of this condition, exerting its effects through its downstream signaling proteins, Smad2/3. Accordingly, this study aimed to investigate the TGF-β signaling pathway in the white blood cells (WBCs) of patients with MAFLD compared to those with non-MAFLD and control groups.

Methods and results: In this study, 41 patients with fatty liver were evaluated, comprising 22 patients with MAFLD and 19 patients with non-MAFLD, and compared to 22 healthy controls. Gene expression of TGF-β1, TGF-β3, and CTGF were quantified using qRT-PCR, and the protein expressions of Smad2/3 and P-Smad2/3 were analyzed using western blotting. Gene expression analysis revealed a significant decrease in the gene expressions of the TGF-β1 and TGF-β3 and an increase in CTGF gene expression in patients with MAFLD and non-MAFLD compared to the control group. Notably, the Smad2/3 protein expression was significantly higher in the non-MAFLD group compared to the control group (P < 0.05). On the other hand, the P-smad2/3 protein expression was significantly elevated in the MAFLD group compared to the control group (P < 0.001).

Conclusions: TGF-β signaling pathway in WBCs of patients with fatty liver are affected by a complex signaling pathway. However, metabolic factors most probably affect TGF-β1 gene expression and its downstream signaling proteins more than TGF-β3.

Background: The most prevalent malignancy among women is breast cancer (BC). MicroRNAs (miRNAs) play a role in the initiation and progression of BC by influencing breast cancer stem cells (BCSCs) but the diagnostic and prognostic roles of those miRNAs on BC patients are still unknown. It was aimed to investigate expression profiles, diagnostic and prognostic potentials of BCSC-related miRNAs in different subtypes (Luminal A and B, HER2 + and TNBC) of BC patients.

Methods and results: Expression analysis of 15 BCSC-related miRNAs was performed in 50 breast tumor tissues and 20 adjacent non-tumor tissues obtained from BC patients using the qRT-PCR method. The expression levels of miR-31 and miR-150-3p were significantly upregulated in the tumor tissues compared to the adjacent non-tumor tissues (p < 0.05). miR-31 expression upregulated in the Luminal A and Luminal B group compared to non-tumor tissue (p < 0.05). miR-31 expression was determined to be significantly higher in the Luminal group (Luminal A and B) compared to the aggressive group (HER2 + and TNBC) (p < 0.05). According to the ROC analysis, the area under the curve (AUC) of miR-31 and miR-150-3p were 0.66 with a sensitivity of 68% and a specificity of 70%. A significant inverse correlation was observed between miR-31 expression with metastatic carcinoma status, in situ component, and Ki67 value in tumors, and high miR-150-3p expression was correlated with p63 expression (p < 0.05).

Conclusion: miR-31 and miR-150-3p have the potential to serve as biomarkers for guiding diagnosis, evaluating prognosis, and metastatic process in patients with BC.

Background: Normalization with respect to stable housekeeping genes is important to facilitate gene transcription regulation research and acquire more accurate quantitative polymerase chain reaction (qPCR) data. In the current study, five candidates housekeeping genes of the cotton leafworm, Spodoptera littoralis encoding for Actin (Actin), elongation factor 1-alpha (EF1α), ribosomal protein S3 (RPS3), ribosomal protein 49 (RP49), and Ubiquitin (Ubi), were evaluated as normalization housekeeping genes under Spodoptera littoralis nucleopolyhedrovirus (SpliNPV) viral infection.

Methods and results: The qPCR results confirmed the expression of all five housekeeping genes in S. littoralis viral infected larvae. The expression profiles of the housekeeping genes showed that the EF1α, Actin, and RP49 had the minimum average Ct values of 18.41 ± 0.66, 18.84 ± 0.90 and 19.01 ± 0.87 in all infected samples, respectively. While RPS3 and Ubi showed the maximum average Ct of 21.61 ± 0.51 and 21.11 ± 0.82, respectively. According to the results of ΔCt and geNorm analysis, EF1α was ranked as the most stable housekeeping gene during infection time-course. While by using BestKeeper, geNorm and NormFinder, the Ubi, RP49, and RPS3 showed the most genes transcription stability. The obtained results were also validated using the Cytochrome c oxidase (COX) gene transcripts in response to SpliNPV infection.

Conclusions: The results revealed that EF1α and Ubi were the most stable housekeeping genes to be used for normalizing S. littoralis gene transcription regulation under SpliNPV infection. These findings, provide a significant addition for gene transcription regulation studies of S. littoralis upon infection using SpliNPV as a bio-agent.