HUBUNGAN KONSENTRASI PROTEIN MUCIN SALIVA RONGGA MULUT DENGAN PENYAKIT XEROSTOMIA PADA GERIATRI: LITERATURE REVIEW

Kondisi penurunan saliva sering terjadi pada usia lanjut. Mucin merupakan komponen penting saliva yang melapisi mukosa mulut dan saliva dapat menjadi kental. Perubahan struktural pada komposisi saliva ditemukan pada pasien dengan xerostomia. Mucin yang tidak teregulasi dengan baik mengakibatkan penurunan fungsi mucin dalam mempertahankan jumlah kandungan air saliva sehingga menyebabkan penurunan kesehatan dari host (inang). Studi literatur ini  bertujuan  untuk  menjelaskan  hubungan tentang konsentrasi mucin saliva dengan xerostomia pada geriatri. Artikel dikumpulkan dengan menggunakan database Google Scholar, Elsevier, PubMed, Researchgate, Sciencedirect, serta database lainnya. Kriteria inklusi yang dipilih adalah konsentrasi protein mucin, xerostomia, subjek geriatri, randomized clinical trials, studi kohort, laporan kasus, tinjauan sistematis, meta-analisis, atau penelitian dengan validitas tinggi. Kriteria eksklusi yang dipilih adalah usia muda, penyakit sistemik, dan bukan studi yang relevan pada abstrak dan topik yang akan dibahas. Pada geriatri, terjadi penurunan sekresi saliva akibat terjadinya atrofi dan hilangnya parenkim kelenjar saliva sehingga digantikan oleh jaringan ikat dan lemak. Atrofi pada kelenjar saliva diakibatkan oleh penurunan proliferasi sel kelenjar saliva mayor dan minor. Penurunan sekresi saliva menyebabkan berkurangnya kandungan protein dan bikarbonat, termasuk mucin. Kandungan bikarbonat yang berkurang menyebabkan pH saliva menurun. Penurunan pH dan protein yang rusak menyebabkan peningkatan viskositas saliva. Pada geriatri, turunnya sekresi saliva disertai dengan peningkatan viskositas saliva dapat menyebabkan resiko terjadinya xerostomia. Diperlukan studi lanjutan berbasis fakta, seperti studi penelitian, atau studi lainnya yang lebih relevan dan aktual agar mendapatkan unsur kebaruan sebagai penunjang studi berikutnya

Non-coding RNAs in saliva: emerging biomarkers for molecular diagnostics.

Saliva is a complex body fluid that comprises secretions from the major and minor salivary glands, which are extensively supplied by blood. Therefore, molecules such as proteins, DNA, RNA, etc., present in plasma could be also present in saliva. Many studies have reported that saliva body fluid can be useful for discriminating several oral diseases, but also systemic diseases including cancer. Most of these studies revealed messenger RNA (mRNA) and proteomic biomarker signatures rather than specific non-coding RNA (ncRNA) profiles. NcRNAs are emerging as new regulators of diverse biological functions, playing an important role in oncogenesis and tumor progression. Indeed, the small size of these molecules makes them very stable in different body fluids and not as susceptible as mRNAs to degradation by ribonucleases (RNases). Therefore, the development of a non-invasive salivary test, based on ncRNAs profiles, could have a significant applicability to clinical practice, not only by reducing the cost of the health system, but also by benefitting the patient. Here, we summarize the current status and clinical implications of the ncRNAs present in human saliva as a source of biological information

No wisdom in the crowd: genome annotation at the time of big data - current status and future prospects

Science and engineering rely on the accumulation and dissemination of knowledge to make discoveries and create new designs. Discovery-driven genome research rests on knowledge passed on via gene annotations. In response to the deluge of sequencing big data, standard annotation practice employs automated procedures that rely on majority rules. We argue this hinders progress through the generation and propagation of errors, leading investigators into blind alleys. More subtly, this inductive process discourages the discovery of novelty, which remains essential in biological research and reflects the nature of biology itself. Annotation systems, rather than being repositories of facts, should be tools that support multiple modes of inference. By combining deduction, induction and abduction, investigators can generate hypotheses when accurate knowledge is extracted from model databases. A key stance is to depart from ‘the sequence tells the structure tells the function’ fallacy, placing function first. We illustrate our approach with examples of critical or unexpected pathways, using MicroScope to demonstrate how tools can be implemented following the principles we advocate. We end with a challenge to the reader

The Effects of Alcohol on the Developing Drosophila Nervous System

Ethanol is the most common human teratogen, contributing to fetal alcohol syndrome (FAS) when effects are the most severe. Key effects of fetal alcohol syndrome are observed in the nervous system. The high prevalence of prenatal alcohol exposure necessitates novel treatment and prevention methods. However, ethical issues prevent researching humans in utero. For this reason, the fruit fly Drosophila melanogaster has emerged as a model organism for studying FAS. Because Drosophila is a small and non-placental organism, its environment can be easily controlled, allowing for specific doses and time periods of ethanol exposure to be studied. This review discusses findings related to the impact of alcohol on the developing Drosophila nervous system. Findings related to reactive oxygen species (ROS) exposure, a consequence of prenatal alcohol exposure due to the metabolism of alcohol, are emphasized. Impacts of ethanol on insulin signaling and epidermal growth factors are also mentioned. Further research on Drosophila nervous system development under ethanol exposure may prove beneficial in the treatment and prevention of FAS

Cytotoxicity of the urokinase-plasminogen activator inhibitor carbamimidothioic acid (4-boronophenyl) methyl ester hydrobromide (BC-11) on triple-negative MDA-MB231 breast cancer cells

Abstract: BC-11 is an easily synthesized simple thiouronium-substituted phenylboronic acid, which has been shown to be cytotoxic on triple negative MDA-MB231 breast cancer cells by inducing a perturbation of cell cycle when administered at a concentration equal to its ED50 at 72 h (117 μM). Exposure of cells to BC-11, either pre-absorbed with a soluble preparation of the N-terminal fragment of urokinase-plasminogen activator (uPa), or in co-treatment with two different EGFR inhibitors, indicated that: (i) BC-11 acts via binding to the N-terminus of the enzyme where uPa- and EGF receptor-recognizing sites are present, thereby abrogating the growth-sustaining effect resulting from receptor binding; and (ii) the co-presence of the EGFR inhibitor PD153035 potentiates BC-11’s cytotoxicity. Exposure of cells to a higher concentration of BC-11 corresponding to its ED75 at 72 h (250 μM) caused additional impairment of mitochondrial activity, the production of reactive oxygen species and promotion of apoptosis. Therefore, BC-11 treatment appears to show potential for the development of this class of compounds in the prevention and/or therapy of “aggressive” breast carcinoma

Econometrics meets sentiment : an overview of methodology and applications

The advent of massive amounts of textual, audio, and visual data has spurred the development of econometric methodology to transform qualitative sentiment data into quantitative sentiment variables, and to use those variables in an econometric analysis of the relationships between sentiment and other variables. We survey this emerging research field and refer to it as sentometrics, which is a portmanteau of sentiment and econometrics. We provide a synthesis of the relevant methodological approaches, illustrate with empirical results, and discuss useful software

Capacity and tendency: A neuroscientific framework for the study of emotion regulation.

It is widely accepted that the ability to effectively regulate one's emotions is a cornerstone of physical and mental health. As such, it should come as no surprise that the number of neuroimaging studies focused on emotion regulation and associated processes has increased exponentially in the past decade. To date, neuroimaging research on this topic has examined two distinct but complementary features of emotion regulation - the capacity to effectively utilize a strategy to regulate emotion and to a lesser extent, the tendency to choose to regulate. However, theoretical accounts of emotion regulation have only recently begun to distinguish capacity from tendency. In the present review, we provide a novel framework for conceptualizing these two intertwined, yet distinct, facets of emotion regulation. First we characterize brain regions that support emotion generation and are thus targeted by emotion regulation. Next, we synthesize findings from the dozens of neuroimaging studies that have examined emotion regulation capacity, focusing in particular on the most commonly studied emotion regulation strategy - reappraisal. Finally, we discuss emerging neuroimaging research examining state and trait regulatory tendencies. We conclude by integrating findings from neuroimaging research on emotion regulation capacity and tendency and suggest ways that this integrated model can inform basic and translational neuroscientific research on emotion regulation