Membrane Protein Structure Research Articles

Rational Approach to Improve Detergent Efficacy for Membrane Protein Stabilization.

Membrane protein structures are essential for the molecular understanding of diverse cellular processes and drug discovery. Detergents are not only widely used to extract membrane proteins from membranes but also utilized to preserve native protein structures in aqueous solution. However, micelles formed by conventional detergents are suboptimal for membrane protein stabilization, necessitating the development of novel amphiphilic molecules with enhanced protein stabilization efficacy. In this study, we prepared two sets of tandem malonate-derived glucoside (TMG) variants, both of which were designed to increase the alkyl chain density in micelle interiors. The alkyl chain density was modulated either by reducing the spacer length (TMG-Ms) or by introducing an additional alkyl chain between the two alkyl chains of the original TMGs (TMG-Ps). When evaluated with a few membrane proteins including a G protein-coupled receptor, TMG-P10,8 was found to be substantially more efficient at extracting membrane proteins and also effective at preserving protein integrity in the long term compared to the previously described TMG-A13. This result reveals that inserting an additional alkyl chain between the two existing alkyl chains is an effective way to optimize detergent properties for membrane protein study. This new biochemical tool and the design principle described have the potential to facilitate membrane protein structure determination.

Challenges of Protein-Protein Docking of the Membrane Proteins.

Despite the recent advances in the determination of high-resolution membrane protein (MP) structures, the structural and functional characterization of MPs remains extremely challenging, mainly due to the hydrophobic nature, low abundance, poor expression, purification, and crystallization difficulties associated with MPs. Whereby the major challenges/hurdles for MP structure determination are associated with the expression, purification, and crystallization procedures. Although there have beensignificant advances in the experimental determination of MP structures, only a limited number of MP structures (approximately less than 1% of all) are available in the Protein Data Bank (PDB). Therefore, the structures of a large number of MPs still remain unresolved, which leads to the availability of widely unplumbed structural and functional information related to MPs. As a result, recent developments in the drug discovery realm and the significant biological contemplation have led to the development of several novel, low-cost, and time-efficient computational methods that overcome the limitations of experimental approaches, supplement experiments, and provide alternatives for the characterization of MPs. Whereby the fine tuning and optimizations of these computational approaches remains an ongoing endeavor.Computational methods offer a potential way for the elucidation of structural features andthe augmentation of currently available MP information. However, the use of computational modeling can be extremely challenging for MPs mainly due to insufficient knowledge of (or gaps in) atomic structures of MPs. Despite the availability of numerous in silico methods for 3D structure determination the applicability of these methods to MPs remains relatively low since all methods are not well-suited or adequate for MPs. However, sophisticated methods for MP structure predictions are constantly being developed and updated to integrate the modifications required for MPs. Currently, different computational methods for (1) MP structure prediction, (2) stability analysis of MPs through molecular dynamics simulations, (3) modeling of MP complexes through docking, (4) prediction of interactions between MPs, and (5) MP interactions with its soluble partner are extensively used. Towards this end, MP docking is widely used. It is notable that the MP docking methods yet few in number might show greater potential in terms of filling the knowledge gap. In this chapter, MP docking methods and associated challenges have been reviewed to improve the applicability, accuracy, and the ability to model macromolecular complexes.

Impact of anionic synthetic surfactants of lead ions and their combinations on the pigment profile of freshwater plant organisms Ceratophyllum demersum and Egeria densa

The development of human civilization inevitably leads to the development of production with increasing emissions of many chemicals into the environment. This is especially noticeable in relation to surface waters of fresh water bodies. A very alarming point is that the amount of toxic anthropogenic substances, including heavy metals, is growing every year and is increasingly disturbing the existing ecological balance. Plant organisms of water bodies are among the first to experience the effects of any anthropogenic pollutants and especially heavy metals and surfactants, the amount of which increases in the water of rivers and lakes. Very important in this is the complex of morpho-physiological adaptations associated with restructuring in the structure of chloroplasts. Changes in the content of photosynthetic pigments in plants of two species (Ceratophyllum demersum and Egeria densa) were assessed when they were exposed to very common technogenic substances (lead ions and a solution of anionic synthetic surfactants). In plants, there is a decrease in the activity of molecular transport, inhibition of H+-ATPase, leading to a decrease in the pH of the cytoplasm and activation of hydrolases, which enhance the breakdown of biopolymers. This leads to changes in the expression of individual genes and increased synthesis of a number of stress proteins. Under these conditions, the assembly of cytoskeletal elements is activated, the structures of membrane proteins and lipids change, the level of ATP decreases, free radical processes are activated and the intensity of photosynthesis is inhibited.

A Perspective on the Prospective Use of AI in Protein Structure Prediction.

AlphaFold2 (AF2) and RoseTTaFold (RF) have revolutionized structural biology, serving as highly reliable and effective methods for predicting protein structures. This article explores their impact and limitations, focusing on their integration into experimental pipelines and their application in diverse protein classes, including membrane proteins, intrinsically disordered proteins (IDPs), and oligomers. In experimental pipelines, AF2 models help X-ray crystallography in resolving the phase problem, while complementarity with mass spectrometry and NMR data enhances structure determination and protein flexibility prediction. Predicting the structure of membrane proteins remains challenging for both AF2 and RF due to difficulties in capturing conformational ensembles and interactions with the membrane. Improvements in incorporating membrane-specific features and predicting the structural effect of mutations are crucial. For intrinsically disordered proteins, AF2's confidence score (pLDDT) serves as a competitive disorder predictor, but integrative approaches including molecular dynamics (MD) simulations or hydrophobic cluster analyses are advocated for accurate dynamics representation. AF2 and RF show promising results for oligomeric models, outperforming traditional docking methods, with AlphaFold-Multimer showing improved performance. However, some caveats remain in particular for membrane proteins. Real-life examples demonstrate AF2's predictive capabilities in unknown protein structures, but models should be evaluated for their agreement with experimental data. Furthermore, AF2 models can be used complementarily with MD simulations. In this Perspective, we propose a "wish list" for improving deep-learning-based protein folding prediction models, including using experimental data as constraints and modifying models with binding partners or post-translational modifications. Additionally, a meta-tool for ranking and suggesting composite models is suggested, driving future advancements in this rapidly evolving field.

Corrigendum to: β-Barrel Membrane Bacterial Proteins: Structure, Function, Assembly and Interaction with Lipids.

The authors declare after the publication of the article entitled ‘β-Barrel Membrane Bacterial Proteins: Structure, Function, Assembly and Interaction with Lipids’’, published in Current Protein and Peptide Science, 2007, 8, 63-82 [1], that a reference by Koebnik was inadvertently omitted. The missing reference has now been included as: Original: [1] Rosenbusch, J.P. (1988) Zentralbl. Bakteriol., 17, 259-266. Corrected: [1] (a) Rosenbusch, J.P. (1988) Zentralbl. Bakteriol., 17, 259-266. (b) Koebnik, R.; Locher, K.P.; Gelder, P.V. Structure and function of bacterial outer membrane proteins: Barrels in a nutshell. Mol. Biol., 2000, 37(2), 239-53. The original article can be found online at: https://www.eurekaselect.com/article/22780

LipIDens: simulation assisted interpretation of lipid densities in cryo-EM structures of membrane proteins

Cryo-electron microscopy (cryo-EM) enables the determination of membrane protein structures in native-like environments. Characterising how membrane proteins interact with the surrounding membrane lipid environment is assisted by resolution of lipid-like densities visible in cryo-EM maps. Nevertheless, establishing the molecular identity of putative lipid and/or detergent densities remains challenging. Here we present LipIDens, a pipeline for molecular dynamics (MD) simulation-assisted interpretation of lipid and lipid-like densities in cryo-EM structures. The pipeline integrates the implementation and analysis of multi-scale MD simulations for identification, ranking and refinement of lipid binding poses which superpose onto cryo-EM map densities. Thus, LipIDens enables direct integration of experimental and computational structural approaches to facilitate the interpretation of lipid-like cryo-EM densities and to reveal the molecular identities of protein-lipid interactions within a bilayer environment. We demonstrate this by application of our open-source LipIDens code to ten diverse membrane protein structures which exhibit lipid-like densities.

Membrane Protein Structures in Native Cellular Membranes Revealed by Solid-State NMR Spectroscopy.

The structural characterization of membrane proteins within the cellular membrane environment is critical for understanding the molecular mechanism in their native functional context. However, conducting residue site-specific structural analysis of membrane proteins in native membranes by solid-state NMR faces challenges due to poor spectral sensitivity and serious interference from background protein signals. In this study, we present a new protocol that combines various strategies for cellular membrane sample preparations, enabling us to reveal the secondary structure of the mechanosensitive channel of large conductance from Methanosarcina acetivorans (MaMscL) in Escherichia coli inner membranes. Our findings demonstrate the feasibility of achieving complete resonance assignments and the potential for determining the 3D structures of membrane proteins within cellular membranes. We find that the use of the BL21(DE3) strain in this protocol is crucial for effectively suppressing background protein labeling without compromising the sensitivity of the target protein. Furthermore, our data reveal that the structures of different proteins exhibit varying degrees of sensitivity to the membrane environment. These results underscore the significance of studying membrane proteins within their native cellular membranes when performing structural characterizations. Overall, this study opens up a new avenue for achieving the atomic-resolution structural characterization of membrane proteins within their native cellular membranes, providing valuable insights into the nativeness of membrane proteins.

Elucidating the Structural Dynamics of Integrin α IIbβ 3 from Native Platelet Membranes By Cryo-EM Coupled with Build and Retrieve Data Processing Methodology

Background: Platelets play a critical role in physiological processes by sensing the extracellular environment through their membrane proteins. Changing the quantity or quality of these proteins can profoundly affect platelet physiology and impact health. The native membrane environment provides essential additional regulatory cues that impact the protein structure and mechanism of action. Single-particle cryogenic electron microscopy (cryo-EM) has transformed structural biology by allowing high-resolution structures of membrane proteins and large macromolecules to be solved from highly purified, homogeneous samples. Our recent breakthroughs in data processing make it feasible to obtain high-resolution protein structures from crude preparations in their native environments by integrating cryo-EM with the novel “Build and Retrieve” (BaR) data processing methodology. By performing in silico purification, image sorting, and model building from large heterogenous datasets, this iterative bottom-up methodology opens new avenues for an in-depth systems biology approach with structural biology that will uncover how the native environment, including lipid and metal binding, post-translational modifications, and co-factor associations regulate platelet function at the molecular level. Method: Whole blood was collected, and the platelet membrane proteins were solubilized by 1% n-Dodecyl-β-D-Maltoside (DDM) and incorporated into lipidic nanodisc MSP1E3D1 directly from the endogenous source. After being enriched by size exclusion chromatography, the mixture of proteins at ~200 kDa was directly applied on cryo-EM grids. Data were collected on Titan Krios G3i cryogenic transmission electron microscope equipped with a BioQuantum K3 camera. All data processing was done in cryoSPARC using the BaR protocol. The near-atomic-resolution cryo-EM maps were used for protein identification using the program phenix.sequence_from_map in the PHENIX suite. The final protein models were built by Coot and refined by PHENIX. Results: We have used using cryo-EM followed by the BaR method to solve the first unmodified integrin α IIbβ 3 structure directly from resting human platelet membranes in its inactivated and intermediate states at 2.76Å and 2.49Å, respectively. From these two structures, we observed the ion binding sites at the β1-domain and β-propeller domain in agreement with previous “classical” α IIbβ 3 structural studies using a purified sample. More importantly, we were able to assign endogenous N-linked glycan sites, which reflected how glycosylation naturally regulates α IIbβ 3 dynamic and function on resting human platelets. Finally, we also solved a novel third unique dimer conformation of α IIbβ 3 at 2.61Å formed by two intermediate-states of α IIbβ 3. This may indicate a previously unknown self-regulatory mechanism of α IIbβ 3 in its native environment. Conclusion: In conclusion, our data show the power of using cryo-EM with the BaR method to uncover novel structures directly from natural sources to identify unrecognized regulation mechanisms for proteins without artifacts due to purification processes. A distinct advantage of the BaR method is that it is an unbiased approach for solving multiple structures from raw samples, which highlights the potential of building a protein structural atlas from platelets. These data have the potential to enrich our understanding of platelet signaling circuitry and foster the development of higher-quality diagnoses and treatments for patients with platelet disorders.

Prediction of Membrane Protein Amphiphilic Helix Based on Horizontal Visibility Graph and Graph Convolution Network.

Membrane protein amphiphilic helices play an important role in many biological processes. Based on the graph convolution network and the horizontal visibility graph the prediction method of membrane protein amphiphilic helix structure is proposed in this paper. The new dataset of amphiphilic helix is constructed. In this paper, we propose the novel feature extraction method, which characterize the amphiphilicity of membrane protein. We also extract three commonly used protein features together with the new features as protein node features. The neighbor information and long-distance dependence information of proteins are further extracted by sliding window and bidirectional long-short term memory network respectively. From the perspective of horizontal visibility algorithm, we transform protein sequences into complex networks to obtain the graph features of proteins. Then, graph convolutional network model is employed to predict the amphiphilic helix structure of membrane protein. A rigorous ten-fold cross-validation shows that the proposed method outperforms other AH prediction methods on the newly constructed dataset.

Inner leaflet cationic lipid increases nucleic acid loading independently of outer leaflet lipid charge in asymmetric liposomes.

Use of cationic lipid vesicles (liposomes) can yield large amounts of nucleic acid entrapped inside the vesicles and/or bound to the external surface of the vesicles. To show a method to prepare asymmetric lipid vesicles (liposomes) with high amounts of entrapped nucleic acid is possible, symmetric and asymmetric lipid vesicles composed of mixtures of neutral (zwitterionic), anionic, and/or cationic phospholipids were formed in the presence of oligo DNA. For symmetric large unilamellar vesicles nucleic acid association with vesicles was roughly 100 times greater for vesicles with a net cationic charge than for vesicles having a net neutral or anionic net charge. A high degree of association between nucleic acid and lipid was also achieved using asymmetric large unilamellar vesicles with a net cationic charge in their inner leaflet, even when they had an anionic charge in their outer leaflet. In contrast, asymmetric vesicles in which only the outer leaflet had a net cationic charge had only low amounts of vesicle-associated nucleic acid, similar in amount to the amount of nucleic acid associated with asymmetric vesicles with an outer leaflet having a net anionic charge. These results indicate that in asymmetric vesicles with cationic lipid enriched inner leaflets nucleic acid is largely entrapped inside the vesicle lumen rather than bound to their external surface, and that asymmetric vesicles can be used to trap high amounts of nucleic acid even when using a lipid composition in the outer leaflet of a lipid vesicle that does not associate with nucleic acids. Such asymmetrically charged vesicles should have applications in studies of membrane protein-nucleic acid interactions as well as in studies of how membrane charge asymmetry can influence membrane protein structure, orientation, and function.

Bactericidal Efficacy and Mechanisms of Non-Electrolytic Slightly Acidic Hypochlorous Water on Pseudomonas fragi and Pseudomonas fluorescens.

Chilled pork is frequently contaminated with Pseudomonas fragi and Pseudomonas fluorescens. In this study, the bactericidal efficacy and mechanisms of non-electrolytic slightly acidic hypochlorous water (NE-SAHW) against two strains of these two species were evaluated. The results showed that the antibacterial efficacy of NE-SAHW was positively correlated with the concentration level of NE-SAHW and negatively correlated with the initial populations of the strains. The strains of small populations were completely inhibited when provided with each level of NE-SAHW. The killed cells of P. fragi were 0.94, 1.39, 4.02, and 5.60 log10 CFU/mL, respectively, and of P. fluorescens they were 1.21, 1.52, 4.14, and 5.74 log10 CFU/mL, respectively, when the initial populations of the strains were at high levels (about 7 log10 CFU/mL). Both strains were completely killed within 12 s with the available chlorine concentration (ACC) of 50 mg/L of NE-SAHW. Morphological changes in both cells were observed by using a Scanning Electron Microscope (SEM) and it was discovered that the cell membranes were damaged, which led to the leakage of the intracellular substances, including K+, nucleic acid, and protein. In terms of the Fourier Transform Infrared Spectroscopy (FTIR) results, NE-SAHW destroyed the structures of membrane proteins and cell structure proteins, and influenced the composition of polysaccharides. The bacteria were definitely dead after treatment by NE-SAHW compared to the control according to the results of flow cytometry. These results demonstrated the potential bactericidal property of NE-SAHW when applied to the meat and other food sterilization industries.

Exploring the World of Membrane Proteins: Techniques and Methods for Understanding Structure, Function, and Dynamics.

In eukaryotic cells, membrane proteins play a crucial role. They fall into three categories: intrinsic proteins, extrinsic proteins, and proteins that are essential to the human genome (30% of which is devoted to encoding them). Hydrophobic interactions inside the membrane serve to stabilize integral proteins, which span the lipid bilayer. This review investigates a number of computational and experimental methods used to study membrane proteins. It encompasses a variety of technologies, including electrophoresis, X-ray crystallography, cryogenic electron microscopy (cryo-EM), nuclear magnetic resonance spectroscopy (NMR), biophysical methods, computational methods, and artificial intelligence. The link between structure and function of membrane proteins has been better understood thanks to these approaches, which also hold great promise for future study in the field. The significance of fusing artificial intelligence with experimental data to improve our comprehension of membrane protein biology is also covered in this paper. This effort aims to shed light on the complexity of membrane protein biology by investigating a variety of experimental and computational methods. Overall, the goal of this review is to emphasize how crucial it is to understand the functions of membrane proteins in eukaryotic cells. It gives a general review of the numerous methods used to look into these crucial elements and highlights the demand for multidisciplinary approaches to advance our understanding.

Challenges and Solutions in the Recombinant Expression of Membrane Proteins.

Membrane proteins are important components of the proteome and play key roles in many biological processes, such as signal transduction, material transport, cell recognition, etc. Membrane proteins are involved in several fields, and more and more researchers want to understand them. However, the structural properties of membrane proteins make their recombinant expression yield low. This adversely affects the study of the structure and function of membrane proteins. Therefore, it is crucial to have a comprehensive and up-to-date understanding of membrane protein recombinant expression. Based on the current stage of research on membrane proteins, the article describes the current challenges faced by membrane protein recombinant expression and the solutions that can be applied to lay the foundation for a better study of membrane proteins in the future.

Overview of Membrane Protein Sample Preparation for Single-Particle Cryo-Electron Microscopy Analysis.

Single-particle cryo-electron microscopy (cryo-EM SPA) has recently emerged as an exceptionally well-suited technique for determining the structure of membrane proteins (MPs). Indeed, in recent years, huge increase in the number of MPs solved via cryo-EM SPA at a resolution better than 3.0 Å in the Protein Data Bank (PDB) has been observed. However, sample preparation remains a significant challenge in the field. Here, we evaluated the MPs solved using cryo-EM SPA deposited in the PDB in the last two years at a resolution below 3.0 Å. The most critical parameters for sample preparation are as follows: (i) the surfactant used for protein extraction from the membrane, (ii) the surfactant, amphiphiles, nanodiscs or other molecules present in the vitrification step, (iii) the vitrification method employed, and (iv) the type of grids used. The aim is not to provide a definitive answer on the optimal sample conditions for cryo-EM SPA of MPs but rather assess the current trends in the MP structural biology community towards obtaining high-resolution cryo-EM structures.

Predicting the spatial structure of membrane protein and B-cell epitopes of the MPXV_VEROE6 strain of monkeypox virus

By targeting the membrane (M) proteins of monkeypox virus (MPXV) strain VEROE6, we analyzed its evolutionary hierarchy and predicted its dominant antigenic B-cell epitope to provide a theoretical basis for the development of MPXV epitope vaccines and related monoclonal antibodies. In this study, phylogenetic trees were constructed based on the nucleic acid sequences of MPXV and the amino acid sequences of M proteins. The 3D structure of the MPXV_VEROE6 M proteins was predicted with AlphaFold v2.0 and the dominant antigenic B-cell epitopes were comprehensively predicted by analyzing parameters such as flexible segments, the hydrophilic index, the antigenic index, and the protein surface probability. The results showed that the M protein of MPXV_VEROE6 contained 377 amino acids, and their spatial configuration was relatively regular with a turning and random coil structure. The results of a comprehensive multiparameter analysis indicated that possible B-cell epitopes were located in the 23–28, 57–63, 67–78, 80–93, 98–105, 125–131, 143–149, 201–206, 231–237, 261–270, 291–303, and 346–362 amino acid segments. This study elucidated the structural and evolutionary characteristics of MPXV membrane proteins with the aim of providing theoretical information for the development of epitope vaccines, rapid diagnostic reagents, and monoclonal antibodies for monkeypox virus.

The First Quarter Century of the Dense Alignment Surface Transmembrane Prediction Method.

The dense alignment surface (DAS) transmembrane (TM) prediction method was first published more than 25 years ago. DAS was the one of the earliest tools to discriminate TM proteins from globular ones and to predict the sequence positions of TM helices in proteins with high accuracy from their amino acid sequence alone. The algorithmic improvements that followed in 2002 (DAS-TMfilter) made it one of the best performing tools among those relying on local sequence information for TM prediction. Since then, many more experimental data about membrane proteins (including thousands of 3D structures of membrane proteins) have accumulated but there has been no significant improvement concerning performance in the area of TM helix prediction tools. Here, we report a new implementation of the DAS-TMfilter prediction web server. We reevaluated the performance of the method using a five-times-larger, updated test dataset. We found that the method performs at essentially the same accuracy as the original even without any change to the parametrization of the program despite the much larger dataset. Thus, the approach captures the physico-chemistry of TM helices well, essentially solving this scientific problem.

Identifying Membrane Protein-Lipid Interactions with Lipidomic Lipid Exchange-Mass Spectrometry.

Lipids can play important roles in modulating membrane protein structure and function. However, it is challenging to identify natural lipids bound to membrane proteins in complex bilayers. Here, we developed lipidomic lipid exchange-mass spectrometry (LX-MS) to study the lipid affinity for membrane proteins on a lipidomic scale. We first mix membrane protein nanodiscs with empty nanodiscs that have no embedded membrane proteins. After allowing lipids to passively exchange between the two populations, we separate the two types of nanodiscs and perform lipidomic analysis on each with liquid chromatography and MS. Enrichment of lipids in the membrane protein nanodiscs reveals the affinity of individual lipids for binding the target membrane protein. We apply this approach to study three membrane proteins. With the Escherichia coli ammonium transporter AmtB and aquaporin AqpZ in nanodiscs with E. coli polar lipid extracts, we detected binding of cardiolipin and phosphatidyl-glycerol lipids to the proteins. With the acetylcholine receptor in nanodiscs with brain polar lipid extracts, we discovered a complex set of lipid interactions that depended on the head group and tail composition. Overall, lipidomic LX-MS provides a detailed understanding of the lipid-binding affinity and thermodynamics for membrane proteins in complex bilayers and provides a unique perspective on the chemical environment surrounding membrane proteins.

ABCG5/G8 Crystallization in a Lipidic Bicelle Environment for X-Ray Crystallography.

ATP-binding cassette (ABC) transporters constitute lipid-embedded membrane proteins. Extracting these membrane proteins from the lipid bilayer to an aqueous environment is typically achieved by employing detergents. These detergents disintegrate the lipid bilayer and solubilize the proteins. The intrinsic habitat of membrane proteins within the lipid bilayer poses a challenge in maintaining their stability and uniformity in solution for structural characterization. Bicelles, which comprise a blend of long and short-chain phospholipids and detergents, replicate the natural lipid structure. The utilization of lipid bicelles and detergents serves as a suitable model system for obtaining high-quality diffraction crystals, specifically to determine the high-resolution structure of membrane proteins. Through these synthetic microenvironments, membrane proteins preserve their native conformation and functionality, facilitating the formation of three-dimensional crystals. In this approach, the detergent-solubilized heterodimeric ABCG5/G8 was reintegrated into DMPC/CHAPSO bicelles, supplemented with cholesterol. This setup was employed in the vapor diffusion experimental procedure for protein crystallization.

Role of hydrogen-bond networks on the donor side of photosynthetic reaction centers from purple bacteria.

For the last decades, significant progress has been made in studying the biological functions of H-bond networks in membrane proteins, proton transporters, receptors, and photosynthetic reaction centers. Increasing availability of the X-ray crystal and cryo-electron microscopy structures of photosynthetic complexes resolved with high atomic resolution provides a platform for their comparative analysis. It allows identifying structural factors that are ensuring the high quantum yield of the photochemical reactions and are responsible for the stability of the membrane complexes. The H-bond networks are known to be responsible for proton transport associated with electron transfer from the primary to the secondary quinone as well as in the processes of water oxidation in photosystem II. Participation of such networks in reactions proceeding on the periplasmic side of bacterial photosynthetic reaction centers is less studied. This review summarizes the current understanding of the role of H-bond networks on the donor side of photosynthetic reaction centers from purple bacteria. It is discussed that the networks may be involved in providing close association with mobile electron carriers, in light-induced proton transport, in regulation of the redox properties of bacteriochlorophyll cofactors, and in stabilization of the membrane protein structure at the interface of membrane and soluble phases.

Analysis of Age and Gender Factors on the Incidence Rate of Cataracts in the Ophthalmology Clinic

Cataracts are a cause of blindness which accounts for approximately half of all blindness in the world, especially in developing countries. The mechanism of cataract formation is highly multifactorial. Loss of transparency in the nucleus and cortex of the lens of the eye can occur as a result of oxidation of membrane lipids, structural or enzymatic proteins by peroxides or free radicals induced by UV light. Other factors that can cause cataract formation are degenerative processes and diabetes mellitus). Cataract therapy is a surgical procedure by removing the cloudy lens, because no medical therapy has been proven to remove cataracts in adults. There are many methods that can be done with surgery for cataract patients. One of them is phacoemulsification, which is a cataract surgery using a small incision method. In this technique, liquefaction of the lens is made using an ultrasound probe that is inserted through an incision in the cornea or anterior sclera. This study aims to determine the relationship between age and gender with the incidence of cataracts at the Eye Polyclinic Outpatient Installation in 2022. This is a retrospective analytic study by examining data in the Recamedics Department. The data is grouped by age, sex and type of cataracts. There were 197 patients who came to the eye polyclinic in July 2022. From the results of the study, 197 people suffered from cataracts with a percentage of 88 men (45%) and 109 women (55%) and the age group that suffered the most from cataracts was the age group 53-68 years and the most common cataracts were senile cataract. Analysis of the relationship between age and gender with the incidence of cataracts in the Outpatient Installation (Poly Eyes) for the period of July 2022 obtained a value for the relationship between age and the incidence of cataracts P = 0.846 and the relationship between sex and the incidence of cataracts P = 0.01. Conclusion: In this study there is a significant relationship between gender and the incidence of cataracts and there is no relationship between age and the incidence of cataracts.