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All Journal Bioma : Berkala Ilmiah Biologi Eksakta : Berkala Ilmiah Bidang MIPA Contagion: Scientific Periodical Journal of Public Health and Coastal Health Health Information : Jurnal Penelitian Narra J Pharmaceutical Sciences and Research (PSR) Makara Journal of Science Indonesian Journal of Medical Chemistry and Bioinformatics International Journal of Science and Environment Eduvest - Journal of Universal Studies
Erlina, Linda
Department Of Medical Chemistry, Faculty Of Medicine, Universitas Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences

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The Role of Flavonoids in GH and IGF-1 Signaling Pathways: A Systematic Review Aisyah Latiefah; Reni Paramita; Linda Erlina; Dwirini Retno
International Journal of Science and Environment (IJSE) Vol. 6 No. 2 (2026): May 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i2.635

Abstract

Flavonoids are naturally occurring bioactive compounds widely found in fruits, vegetables, tea, and various medicinal plants. Numerous studies have demonstrated that flavonoids exhibit biological activities involved in the regulation of cell growth, metabolism, and aging processes through their effects on the growth hormone (GH) and insulin-like growth factor-1 (IGF-1) signaling axis. The GH/IGF-1 pathway plays a crucial role in growth regulation, cellular differentiation, energy metabolism, and the development of various diseases, including cancer and metabolic disorders. Therefore, understanding the interaction between flavonoids and this signaling pathway is essential for the development of natural product-based therapeutic strategies. This study employed a Systematic Literature Review (SLR) approach to identify, retrieve, and synthesize scientific evidence regarding the role of flavonoids in modulating the GH and IGF-1 signaling pathways. Literature searches were conducted across several international scientific databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eligible articles were then qualitatively analyzed to evaluate the molecular mechanisms of flavonoids in the regulation of components within the GH/IGF-1 signaling pathway.The results indicate that various flavonoids, including quercetin, kaempferol, genistein, epigallocatechin gallate (EGCG), and luteolin, can modulate the GH/IGF-1 axis by regulating IGF-1 receptor expression and downstream signaling pathways such as PI3K/AKT/mTOR and MAPK. These mechanisms contribute to the regulation of cell proliferation, induction of apoptosis, reduction of oxidative stress, and improvement of metabolic homeostasis. Overall, these findings suggest that flavonoids hold potential as therapeutic and preventive agents in conditions associated with dysregulation of the GH/IGF-1 signaling pathway.
Metagenomics as a Diagnostic Method for Identifying Microbiota Profiles in Diarrhea Cases Rahmat Apipi; Linda Erlina
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52490

Abstract

Diarrhea remains a major global health issue and is one of the leading causes of morbidity and mortality, especially in children. Changes in the composition of gut microbiota are strongly associated with the occurrence of diarrhea, particularly due to infections caused by pathogenic microorganisms. Conventional diagnostic techniques, such as culture, still have limitations in detecting diverse and unculturable microbes. Metagenomics offers a comprehensive diagnostic solution by analyzing the entire genetic material directly from stool samples using sequencing-based approaches. This review discusses two metagenomic strategies—16S rRNA sequencing and whole-genome shotgun metagenomic sequencing—based on studies conducted in India and Peru. The 16S rRNA approach enables the identification of bacterial community structure and dysbiosis in diarrhea cases, while shotgun metagenomics provides higher resolution for detecting pathogenic species, including Campylobacter spp., and co-infections that are often missed by standard methods. Both techniques demonstrate significant advantages in detecting microbiota diversity, identifying novel pathogens, and uncovering antimicrobial resistance profiles. Therefore, metagenomics represents a promising diagnostic tool for improving the accuracy of diarrhea detection and supporting public health interventions in endemic regions.
Flavonoid Role as Autophagy Modulators in Breast Cancer Treatment Strategy Frans Dany; Ade Arsianti; Linda Erlina; Ratih Rinendyaputri
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 04 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss04/624

Abstract

Autophagy is a tightly regulated catabolic process that enables cancer cells to survive under metabolic stress and contributes to the development of chemoresistance. Targeting autophagy has therefore emerged as a promising strategy to enhance cancer therapy efficacy. Flavonoids, a diverse class of polyphenolic compounds abundantly found in plants, have gained considerable attention due to their broad-spectrum biological activities, including anticancer effects. Recent studies highlight their ability to modulate key signaling pathways involved in cell proliferation, apoptosis, and autophagy. Several flavonoids, such as fisetin, apigenin, and quercetin, exhibit roles as autophagy modulators depending on the cellular context, offering therapeutic flexibility. Their low toxicity and synergistic potential with conventional drugs underscore their relevance as adjuvant agents. This review discusses the critical role of autophagy in cancer progression and drug resistance, and examines current evidence supporting the integration of flavonoids as autophagy modulators in the design of more effective and targeted anticancer strategies, particularly in breast cancer therapy.
In Silico Evaluation of Natural Compounds as Dual Inhibitors of Exotoxin A and LasB (Elastase) Virulence Proteins in Pseudomonas aeruginosa Andrias Bayu Fariska; Linda Erlina; Ade Arsianti; Aryo Tedjo
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 04 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss04/631

Abstract

Pseudomonas aeruginosa is an opportunistic pathogen whose virulence is largely mediated by Exotoxin A and LasB (elastase), making them promising anti-virulence drug targets. This study aimed to evaluate the inhibitory potential of natural compounds against these two key proteins using an in silico approach. Pharmacophore-based virtual screening of HerbalDB compounds was performed by LigandScout software, followed by molecular docking using AutoDockTools-1.5.7 against Exotoxin A (PDB ID: 1AER) and LasB (PDB ID: 1U4G). Native ligands and co-crystallized inhibitors were used as docking controls to validate binding accuracy. Among the screened compounds, Epicatechin-(4β-6)-epicatechin-(4β-8)-catechin exhibited the strongest binding affinity to Exotoxin A (ΔG = −10.72 kcal·mol⁻¹), while Carpaine showed the highest affinity for LasB (ΔG = −8.91 kcal·mol⁻¹). The predicted interactions involved hydrogen bonds and hydrophobic interactions with active-site residues, comparable to the native inhibitors. Furthermore, ADMET analysis indicated favorable pharmacokinetic and drug-likeness properties. These findings suggest that selected natural compounds possess potential dual inhibitory activity against Exotoxin A and LasB, warranting further experimental validation as anti-virulence candidates for controlling P. aeruginosa infections.
Exploring the Chemopreventive Potential of Soybean Phytochemicals Targeting BRCA1 Protein: A Molecular Docking Study Regina Liviandari; Ari Estuningtyas; Kusmardi; Linda Erlina
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 02 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss02/671

Abstract

Breast cancer remains a significant cause of cancer-related mortality among women globally, highlighting the importance for preventive strategies targeting early molecular events. BRCA1 plays a critical role in maintaining genomic stability through DNA repair mechanisms. However, the potential of soybean phytochemicals to modulate BRCA1 activity at the molecular level, particularly through computational approaches, has not been extensively explored. This study aimed to evaluate the chemopreventive potential of soybean phytochemicals targeting the BRCA1 protein using an in silico approach. A total of 32 compounds were prepared and docked into the BRCA1 binding site using Autodock Tools 1.5.7, followed by interaction analysis and visualization, prediction of pharmacokinetic and toxicity profiles using SwissADME, pkCSM, and ProTox. The results showed that the top compounds exhibited binding energy ranging from -6.04 to -8.07 kcal/mol, which were lower than the reference compound. Interaction analysis revealed stable binding with key amino acid residues, including Met1775, Leu1839, and Lys1702 through hydrogen and hydrophobic interactions. Among the evaluated compounds, daidzin showed the most balanced profile in terms of binding affinity, interaction relevance, and favorable ADMET properties. This study provides a systematic in silico evaluation of soybean phytochemicals targeting BRCA1 and highlights their potential as candidates for breast cancer chemoprevention.
Integrative Transcriptomic and Docking Analysis of Coffee Bioactives Targeting CCNA2, AKT1, and CDK2 in TNBC Ida Neni Haryanti; Linda Erlina; Ade Arsianti; Aryo Tedjo
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 04 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) In Progress
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss04/707

Abstract

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype characterized by high proliferation rates, poor prognosis, and limited therapeutic options. Coffee-derived bioactive compounds have demonstrated potential anticancer properties, but their interactions with key TNBC-associated targets remain insufficiently understood. Therefore, this study aimed to identify molecular biomarkers and therapeutic targets in TNBC and evaluate the potential of major coffee bioactive compounds using an integrative in silico approach. Five Gene Expression Omnibus (GEO) datasets (GSE38959, GSE186102, GSE65194, GSE45827, and GSE7904) were analyzed to identify differentially expressed genes (DEGs) using |log2FC| ≥ 1 and adjusted p-value < 0.05. Protein–protein interaction analysis, machine-learning validation, Kaplan–Meier survival analysis, chemogenomic mapping, molecular docking, and ADMET prediction were subsequently performed. A total of 917 overlapping DEGs were identified, with CCNA2 emerging as a key hub gene associated with poor prognosis. Machine-learning validation achieved 97.7% accuracy and an AUC of 0.964. Chemogenomic analysis prioritized AKT1, CDK2, and CCNA2 as therapeutic targets. Molecular docking revealed favorable interactions of caffeic acid and chlorogenic acid, with caffeic acid showing the most consistent multitarget affinity (−5.94 to −6.96 kcal/mol). These findings suggest that caffeic acid is a promising multitarget candidate for TNBC therapy and warrants further experimental validation.
Assessing glioblastoma cell population stability through bootstrap resampling of scRNA-seq data Andi Rosilala; Rohmatul Fajriyah; Linda Erlina; Nabilah Dwi Septiani
Bioma : Berkala Ilmiah Biologi Volume 28 Issue 1 Year 2026
Publisher : Departemen Biologi, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/bioma.2026.83365

Abstract

Glioblastoma (GBM) exhibits extreme cellular heterogeneity, comprising diverse tumor cell states and non-malignant microenvironment populations. Single-cell RNA-sequencing (scRNA-seq) enables resolution of this complexity, yet a critical unmet challenge persists: cluster reproducibility in GBM scRNA-seq studies is rarely validated, and standard clustering algorithms may generate artifactual partitions indistinguishable from biologically meaningful populations. To address this gap, we propose a cluster-wise bootstrap stability framework integrated with explicit tumor–microenvironment separation, an approach not previously applied systematically to GBM scRNA-seq data. We analyzed a public dataset (GSE131928; 10 tumors, 15,072 cells after quality control) and identified 14 clusters annotated via marker gene validation. Bootstrap resampling (100 iterations) with Jaccard coefficient quantification revealed that non-malignant populations (microglia/macrophage, oligodendrocytes) exhibited the highest stability (Jaccard >0.97). Among tumor states, MES-AC transitional and MES-like clusters were most stable (Jaccard 0.99 and 0.82), whereas NPC-like, AC-like, and rare populations showed low stability (Jaccard <0.5). Stability correlated positively with marker gene specificity, within-cluster homogeneity, and silhouette scores. These results demonstrate that cluster-wise bootstrap assessment provides a practical, quantitative criterion for distinguishing robust from unreliable cell populations, supporting more confident biological interpretation and therapeutic target prioritization in GBM.
Co-Authors . Andriansjah Abiyyi, Mohammad Wildan Adisti Dwijayanti Ahdyani, Risa Aisyah Latiefah Andi Rosilala Andi Yasmon Andika Andika Andrias Bayu Fariska Ari Estuningtyas Ari Estuningtyas, Ari Arleni Bustami Arry Yanuar Arsianti, Ade Aryo Tedjo Azizah, Norma N. Azminah Azminah Candraningrum, Veronica Hesti Cendani, Gabriella Regita Cristina, Artha Uli Dwirini Retno Fadilah Fadilah Fadilah Fadillah Fadillah Fadillah Fadillah Fajarido, Ariski Fariska, Andrias Bayu Fatriansyah, Jaka Fajar Frans Dany Frans Dany, Frans Harimurti, Putri Saskia Hashim, Najihah M. Ida Neni Haryanti Immanuelle Kezia Insani, Fauzi Azhar Kezia, Immanuelle Kusmardi Liviandari, Regina Monica, Maria Diyan Nabilah Dwi Septiani Nihayah, Silviatun Ninik Mudjihartini Nur Ayu Ramadanti Paramita, Rafika Indah Prawiningrum, Aisyah F Puspitasari, Melya Rafika Indah Paramita Rahayu, Ratih Rahmat Apipi Ratih Rinendyaputri Ratih Rinendyaputri Regina Liviandari Reni Paramita Rohmatul Fajriyah Rosa, Feby Lilia Septelia I. Wanandi Sri S. Ningsih, Sri S. Sugito, Syailendra Karuna Suratno Lulut Ratnoglik Surya Dwira Syahrani, Resda Akhra Wawaimuli Arozal Windy Dwininda Zahra Zahra