Comprehensive Review Research Articles

Nanostructured Lipid Carrier for Dermatological Application: A Comprehensive Review and Future Perspective

Abstract:: Dermatological disease states have psychological impacts that affect a patient’s life. In the management of such disorders, topical delivery has an important role. However, the conven-tional topical delivery systems suffer from various limitations, like skin irritation, a minute quan-tity of drugs reaching disease sites, and over and under medication, which leads to an adverse re-action and therapeutic failure, respectively. Therefore, researchers continuously search for an al-ternate delivery system for treating skin disease. In recent years, nanostructured lipid carriers (NLC) have emanated as promising carrier systems for topical delivery. The current review pro-vides an in-depth insight into topical administration for treating a variety of dermatological issues using NLCs as a carrier. This review highlights the suitability of NLCs as carriers for topical de-livery, their method of preparation, and their characterization. In the present review, the main emphasis has been given to the management of various dermatological problems by using NLCs as a carrier; a plethora of literature investigating NLC as the carrier for topical delivery has been included in this review. In this paper, an attempt has been made to provide a summary of the re-search carried out in this field that will encourage further research in this arena.

A Comprehensive Review on Imperative Role of Ionic Liquids in Pharmaceutical Sciences.

Ionic liquids (ILs) are poorly-coordinated ionic salts that can exist as a liquid at room temperatures (or <100 °C). ILs are also referred to as "designer solvents" because so many of them have been created to solve particular synthetic issues. ILs are regarded as "green solvents" because they have several distinctive qualities, including better ionic conduction, recyclability, improved solvation ability, low volatility, and thermal stability. These have been at the forefront of the most innovative fields of science and technology during the past few years. ILs may be employed in new drug formulation development and drug design in the field of pharmacy for various functions such as improvement of solubility, targeted drug delivery, stabilizer, permeability enhancer, or improvement of bioavailability in the development of pharmaceutical or vaccine dosage formulations. Ionic liquids have become a key component in various areas such as synthetic and catalytic chemistry, extraction, analytics, biotechnology, etc., due to their superior abilities along with highly modifiable potential. This study concentrates on the usage of ILs in various pharmaceutical applications enlisting their numerous purposes from the delivery of drugs to pharmaceutical synthesis. To better comprehend cuttingedge technologies in IL-based drug delivery systems, highly focused mechanistic studies regarding the synthesis/preparation of ILs and their biocompatibility along with the ecotoxicological and biological effects need to be studied. The use of IL techniques can address key issues regarding pharmaceutical preparations such as lower solubility and bioavailability which plays a key role in the lack of effectiveness of significant commercially available drugs.

Zebrafish Experimental Animal Models for AD: A Comprehensive Review.

AD disease (AD) is a multifaceted and intricate neurodegenerative disorder characterized by intracellular neurofibrillary tangle (NFT) formation and the excessive production and deposition of Aβ senile plaques. While transgenic AD models have been found instrumental in unravelling AD pathogenesis, they involve cost and time constraints during the preclinical phase. Zebrafish, owing to their simplicity, well-defined behavioural patterns, and relevance to neurodegenerative research, have emerged as a promising complementary model. Zebrafish possess glutaminergic and cholinergic pathways implicated in learning and memory, actively contributing to our understanding of neural transmission processes. This review sheds light on the molecular mechanisms by which various neurotoxic agents, including okadaic acid (OKA), cigarette smoke extract, metals, and transgenic zebrafish models with genetic similarities to AD patients, induce cognitive impairments and neuronal degeneration in mammalian systems. These insights may facilitate the identification of effective neurotoxic agents for replicating AD pathogenesis in the zebrafish brain. In this comprehensive review, the pivotal role of zebrafish models in advancing our comprehension of AD is emphasized. These models hold immense potential for shaping future research directions and clinical interventions, ultimately contributing to the development of novel AD therapies.

A Recent Advance on Phytochemicals, Nutraceutical and Pharmacological Activities of Buckwheat.

Buckwheat, a member of the Fagopyrum genus in the Polygonaceae family, is an ancient pseudocereal with noteworthy nutraceutical properties that have been relatively less explored. This crop holds great promise for the future due to its gluten-free protein, wellbalanced amino acid profile, and the presence of bioactive flavonoids that promote good health. With its gluten-free nature and a combination of beneficial nutritional components, buckwheat shows significant potential for a variety of health benefits. The objective of the present review aims to explore various nutritional and pharmacological properties of buckwheat. With the help of various search engines such as, Pubmed, Google and Semantic Scholar, research and review papers were carefully investigated and summarized in a comprehensive review. A fascinating spectrum of nutritional and pharmacological activities of common buckwheat and Tartary buckwheat were explored such as antidiabetic, anti-inflammatory, neurological disorders, antiobesity, anticancer, cardiovascular agents and many more. This review provides a concise overview of the current understanding of the chemical composition of both common buckwheat and Tartary buckwheat and the captivating spectrum of pharmacological activity and also underscoring their immense potential for future advancements.

Screening and Analysis of Skin Cancer Treatment Using Biocomponents of Plants Using Backpropagation Neural Networks: A Comprehensive Review

: In recent years, the use of natural compounds derived from plants for the treatment of skin cancer has gained significant attention due to their potential therapeutic effects and minimal side effects. This review focuses on the innovative approach of utilizing biocomponents sourced from plants in combination with backpropagation neural networks (BPNN) for the screening and analysis of skin cancer treatments. The integration of plant-derived compounds and AI-driven algorithms holds promise for enhancing the precision and effectiveness of skin cancer therapies. The review begins by highlighting the escalating global burden of skin cancer and the limitations of conventional treatment approaches. With the rise in concerns about the adverse effects of synthetic drugs, researchers have turned their attention towards exploring the therapeutic potential of plant-derived biocomponents. These natural compounds are known for their rich bioactive constituents that exhibit anti-cancer properties, making them suitable candidates for skin cancer treatment. One of the key challenges in harnessing the potential of plant-derived compounds is the need for accurate screening and analysis of their effects. This is where backpropagation neural networks, a type of artificial neural network, comes into play. These networks can process complex data and recognize intricate patterns, enabling them to predict the efficacy of various biocomponents in combating skin cancer. The review delves into the functioning of BPNN and its applications in drug discovery and treatment evaluation. Furthermore, the review explores several case studies that demonstrate the successful integration of plant-derived compounds with BPNN in the context of skin cancer treatment. These studies provide evidence of how this synergistic approach can lead to improved treatment outcomes by minimizing adverse effects and maximizing therapeutic benefits. The methodology section discusses the steps involved in training the neural network using relevant datasets and optimizing its performance for accurate predictions. While the integration of plant-derived compounds and BPNN shows great promise, the review also addresses the existing challenges and limitations. These include the need for comprehensive and standardized datasets, potential biases in training data, and the complexity of neural network architectures. The regulatory considerations surrounding plant-based therapies are also discussed, highlighting the importance of rigorous testing and validation.

The Prospects of Phytomedicines and Nanomedicines to Treat Leishmaniasis: A Comprehensive Review.

The global shift in lifestyle has prompted health agencies to redirect their focus from poverty-related diseases to the emergence of lifestyle diseases prevalent in privileged regions. As a result, these diseases have been labeled as "neglected diseases," receiving limited research attention, funding, and resources. Neglected Tropical Diseases (NTDs) encompass a diverse group of vector-borne protozoal diseases that are prevalent in tropical areas worldwide. Among these NTDs is leishmaniasis, a disease that affects populations globally and manifests as skin abnormalities, internal organ involvement, and mucous-related abnormalities. Due to the lack of effective and safe medicines and vaccines, it is crucial to explore alternative resources. Phytomedicine, which comprises therapeutic herbal constituents with anti-leishmanial properties, holds promise but is limited by its poor physicochemical properties. The emerging field of nanomedicine has shown remarkable potential in revitalizing the anti-leishmanial efficacy of these phytoconstituents. In this investigation, we aim to highlight and discuss key plant constituents in combination with nanotechnology that have been explored in the fight against leishmaniasis.

Pharmacological Potential of Sulindac and Its Active Metabolite: A Comprehensive Review

: In this review, we describe and discuss the pharmaceutical aspects, pharmacokinetic profile, and preclinical and clinical studies of sulindac and its active metabolite and emphasise their potential activity not only in anti-inflammation strategies but also as chemoprevention drug candidates. Though they are widely validated through in vitro and in vivo models, to date, no efforts have been made to compile in a single review on their pharmacologically potential, pharmacokinetics and toxicity profiles. Key databases such as PubMed, Science Direct, Scopus, and Google Scholar, among others, were probed for a systematic search using keywords to retrieve relevant publications. An exhaustive electronic survey of the related literature on the pharmacologically potential activity and the pharmacokinetic and toxicity profiles of sulindac resulted in around 200 articles (1975 and 2023) being included. The studies conducted on sulindac sulphide and sulindac sulfone metabolites reported a varied range of biological effects deployed in this review. The review concluded that there is scope for repurposing sulindac using computer-aided drug design and biological study to find out possible new targets for strengthening the potency and selectivity of the metabolites.

Recent Approaches on Molecular Markers, Treatment and Novel Drug Delivery System Used for the Management of Colorectal Cancer: A Comprehensive Review.

Colorectal cancer affects 1 in 25 females and 1 in 24 males, making it the third most frequent cancer with over 6,08,030 deaths worldwide, despite advancements in detection and treatments, including surgery, chemotherapeutics, radiotherapy, and immune therapeutics. Novel potential agents have increased survival in acute and chronic disease conditions, with a higher risk of side effects and cost. However, metastatic disease has an insignificant long-term diagnosis, and significant challenges remain due to last-stage diagnosis and treatment failure. Early detection, survival, and treatment efficacy are all improved by biomarkers. The advancement of cancer biomarkers' molecular pathology and genomics during the last three decades has improved therapy. Clinically useful prognostic biomarkers assist clinical judgment, for example, by predicting the success of EGFR-inhibiting antibodies in the presence of KRAS gene mutations. Few biomarkers are currently used in clinical settings, so further research is still needed. Nanocarriers, with materials like Carbon nanotubes and gold nanoparticles, provide targeted CRC drug delivery and diagnostics. Light-responsive drugs with gold and silica nanoparticles effectively target and destroy CRC cells. We evaluate the potential use of the long non-coding RNA (non-coding RNA) oncogene plasmacytoma variant translocation 1 (PVT1) as a diagnostic, prognostic, and therapeutic biomarker, along with the latest nanotech breakthroughs in CRC diagnosis and treatment.

Tumor Necrosis Alpha (TNF-α) Antagonists Used in Chronic Inflammatory Rheumatic Diseases: Risks and their Minimization Measures.

Tumor necrosis factor alpha (TNF- α) inhibitors are widely employed for the management of chronic inflammatory rheumatism. However, their usage carries significant risks, including site and infusion reactions, serious infections, malignancy, heart failure autoimmune and demyelinating disorders. These risks are comprehensively outlined in risk management plans (RMPs) associated with these molecules. RMP provides information on the safety profile of a medicinal product as well as the measures that will be taken to minimize risks; these are known as risk minimization measures. These measures are divided into routine measures related to elements, such as the summary of product characteristics, labeling, pack size, package leaflet, or legal supply status of the product, while additional measures may include educational programs, including tools for healthcare providers and patients, controlled access or pregnancy prevention programs, among others. Additional measures can consist of one or more interventions that need to be implemented in a sustainable way in a defined target group, while respecting the timing and frequency of any intervention and procedures to reach the target population. An evaluation of the effectiveness of these measures is required to determine whether or not an intervention has been effective. This comprehensive review offers an in-depth exploration of the current treatment, uses, and associated risks of TNF-α inhibitors. Additionally, it provides a detailed account of risk minimization measures and risk management practices while shedding light on their real-world implementation and effectiveness.

A Thorough Review of Deep Learning in Autism Spectrum Disorder Detection: From Data to Diagnosis

Background: Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition with significant heterogeneity in its clinical presentation. Timely and precise identification of ASD is crucial for effective intervention and assistance. Recent advances in deep learning techniques have shown promise in enhancing the accuracy of ASD detection. Objective: This comprehensive review aims to provide an overview of various deep learning methods employed in detecting ASD, utilizing diverse neuroimaging modalities. We analyze a range of studies that use resting-state functional Magnetic Resonance Imaging (rsfMRI), structural MRI (sMRI), task-based fMRI (tfMRI), and electroencephalography (EEG). This paper aims to assess the effectiveness of these techniques based on criteria such as accuracy, sensitivity, specificity, and computational efficiency. Methods: We systematically review studies investigating ASD detection using deep learning across different neuroimaging modalities. These studies utilize various preprocessing tools, atlases, feature extraction techniques, and classification algorithms. The performance metrics of interest include accuracy, sensitivity, specificity, precision, F1-score, recall, and area under the curve (AUC). Results: The review covers a wide range of studies, each with its own dataset and methodology. Notable findings include a study employing rsfMRI data from ABIDE that achieved an accuracy of 80% using LeNet. Another study using rsfMRI data from ABIDE-II achieved an impressive accuracy of 95.4% with the ASGCN deep learning model. Studies utilizing different modalities, such as EEG and sMRI, also reported high accuracies ranging from 74% to 95%. Conclusion: Deep learning-based approaches for ASD detection have demonstrated significant potential across multiple neuroimaging modalities. These methods offer a more objective and data-driven approach to diagnosis, potentially reducing the subjectivity associated with clinical evaluations. However, challenges remain, including the need for larger and more diverse datasets, model interpretability, and clinical validation. The field of deep learning in ASD diagnosis continues to evolve, holding promise for early and accurate identification of individuals with ASD, which is crucial for timely intervention and support.

Unveiling the Latest Breakthroughs: A Comprehensive Review of the Therapeutic Activity and Safety Profile of Aloe vera.

The use of herbal drugs as alternative and complementary medicine has increased in popularity, raising concerns about their safety profile. Aloe vera, a plant with diverse therapeutic properties, has been extensively used for centuries. This review aims to assess the therapeutic activity and safety profile of Aloe vera. A comprehensive literature search was conducted to gather relevant information from various biomedical databases. The chemical composition, mechanism of action, and therapeutic activities of Aloe vera were analyzed. Aloe vera contains numerous active components such as vitamins, enzymes, minerals, sugars, lignin, saponins, and anthraquinones. Its mechanisms of action involve collagen synthesis, anti-inflammatory effects, immune modulation, laxative properties, and antiviral activity. Aloe vera has demonstrated potential therapeutic benefits in wound healing, diabetes management, liver and kidney protection, and glycemic control. However, it is essential to consider potential side effects, such as skin irritation and allergic reactions. This review provides evidence-based information to improve patient safety and promote informed decisions regarding the use of Aloe vera as a therapeutic agent.

Role of Chronotherapy in the Management of Hypertension: An Overview

: The rise in age-adjusted mortality rates from hypertension and hypertensive diseases over the last several years suggests that hypertension is one of the main risk factors for heart disease. As a result, managing hypertension, both via preventive and therapeutic medicine, involves a heavy socioeconomic burden. This review paper's objective is to summarize information on chronotherapy techniques, which can make it possible for an active component to be distributed predictably and at a pace that may also minimize the patient’s illness symptoms. To incorporate published research and review papers, a comprehensive review of the literature from many sources during the past 25 years was conducted. This paper summarizes the principle and method of the chronotherapy technique. The review also throws light on different approaches that could be used to meet the need for medication for the hypertensive patient according to the circadian cycle. From the study, it was concluded that different formulation approaches are there that can work according to the principle of chronotherapy with improvement in drug bioavailability and patient compliance. To encourage future researchers to include chronotherapy in the creation of additional formulations, this review study intends to shed light on various benefits and methods of chronotherapy.

Pharmacological Approaches and Herbal Interventions for Alzheimer's Disease

Abstract: This comprehensive review extensively examines the utilization of herbal remedies and pharmacological techniques for managing Alzheimer's disease (AD). It delves deeply into the active constituents and modes of operation of diverse herbal medications such as Withania somnifera, Bacopa monnieri, Ginkgo biloba, and Curcuma longa, emphasizing their qualities in reducing inflammation, acting as antioxidants, and safeguarding neural tissue. Additionally, it assesses conventional pharmaceuticals like cholinesterase inhibitors (Donepezil, rivastigmine) and memantine, investigating their mechanisms of action and potential adverse effects. The study also encompasses non-pharmacological therapies like interventions aimed at cognition, physical exercise, and methods of stimulating the brain, all of which exhibit potential in enhancing cognitive capacity and neural adaptability. Furthermore, it delves into the amalgamation of therapies to tackle numerous facets of AD pathology. In essence, this review furnishes valuable insights into alternative strategies for managing AD, underscoring the potential of herbal interventions in enhancing cognitive function and addressing the underlying issues of AD. Additionally, it presents a fresh avenue for exploring the collaborative impacts of combining conventional pharmaceuticals with herbal remedies.

Research on Developing Cyclone Coupling Techniques for Heterogeneous Separators with Design Optimization of Hydrocyclone Separators

Abstract: Hydrocyclone separator is a widely used equipment in the field of liquid-solid separation due to its simple structure, convenient operation, and high separation efficiency. This paper provides a comprehensive review of the working principles, application areas, design optimization, and performance evaluation of hydrocyclone separators, while discussing their future development trends. In addition, particular attention has been given to the aspects related to patents in this study.The focus is on analyzing the structural parameters and flow field characteristics of hydrocyclone separators, as well as the different effects on separation efficiency caused by various hydrocyclone structures and adjustments in hydrocyclone size. The research analysis is conducted on the inlet, cylindrical section, overflow pipe section, cone section, hydrocyclone materials, and other parts, taking into account detailed analysis of operational conditions such as inlet flow rate, pressure drop, separation efficiency, and fluid properties. The future development trend of hydraulic hydrocyclone separators lies in refinement, intelligence, multifunctionality, integration, and energy-saving and environmental protection. In the field of liquid-solid separation, the integration of hydrocyclone separation technology and intelligent devices is becoming increasingly important, and future research will focus on developing new hydrocyclone coupling separation techniques to further improve production efficiency and convenience in daily life. The application prospects are broad, and it is expected to bring significant economic and social benefits to society. It also possesses the potential for patent protection.

Recent Advances in Therapeutic Approaches Against Ebola Virus Infection.

Ebola virus (EBOV) is a genus of negative-strand RNA viruses belonging to the family Filoviradae that was first described in 1976 in the present-day Democratic Republic of the Congo. It has intermittently affected substantial human populations in West Africa and presents itself as a global health menace due to the high mortality rate of patients, high transmission rate, difficult patient management, and the emergence of complicated autoimmune disease-like conditions post-infection. EBOV or other EBOV-like species as a biochemical weapon pose a significant risk; hence, the need to develop both prophylactic and therapeutic medications to combat the virus is unquestionable. In this review work, we have compiled the literature pertaining to transmission, pathogenesis, immune response, and diagnosis of EBOV infection. We included detailed structural details of EBOV along with all the available therapeutics against EBOV disease. We have also highlighted current developments and recent advances in therapeutic approaches against Ebola virus disease (EVD). The development of preventive vaccines against the virus is proving to be a successful effort as of now; however, problems concerning logistics, product stability, multi- dosing, and patient tracking are prominent in West Africa. Monoclonal antibodies that target EBOV proteins have also been developed and approved in the clinic; however, no small drug molecules that target these viral proteins have cleared clinical trials. An understanding of clinically approved vaccines and their shortcomings also serves an important purpose for researchers in vaccine design in choosing the right vector, antigen, and particular physicochemical properties that are critical for the vaccine's success against the virus across the world. Our work brings together a comprehensive review of all available prophylactic and therapeutic medications developed and under development against the EBOV, which will serve as a guide for researchers in pursuing the most promising drug discovery strategies against the EBOV and also explore novel mechanisms of fighting against EBOV infection.

The Potential of Epigallocatechin Gallate in Targeting Cancer Stem Cells: A Comprehensive Review.

The dreadful scenario of cancer prevails due to the presence of cancer stem cells (CSCs), which contribute to tumor growth, metastasis, invasion, resistance to chemo- and radiotherapy, and recurrence. CSCs are a small subpopulation of cells within the tumor that are characterized by self-renewal capability and have the potential to manifest heterogeneous lineages of cancer cells that constitute the tumor. The major bioactive green tea polyphenol (-)-epigallocatechin gallate (EGCG) has been fruitful in downgrading cancer stemness signaling and CSC biomarkers in cancer progression. EGCG has been evidenced to maneuver extrinsic and intrinsic apoptotic pathways in order to decrease the viability of CSCs. Cancer stemness is intricately related to epithelial-mesenchymal transition (EMT), metastasis and therapy resistance, and EGCG has been evidenced to regress all these CSC-related effects. By inhibiting CSC characteristics EGCG has also been evidenced to sensitize the tumor cells to radiotherapy and chemotherapy. However, the use of EGCG in in vitro and in vivo cancer models raises concern about its bioavailability, stability and efficacy against spheroids raised from parental cells. Therefore, novel nano formulations of EGCG and adjuvant therapy of EGCG with other phytochemicals or drugs or small molecules may have a better prospect in targeting CSCs. However, extensive clinical research is still awaited to elucidate a full proof impact of EGCG in cancer therapy.

Exploring Lycopene: A Comprehensive Review on its Food Sources, Health Benefits and Functional Food Applications

Abstract: The importance of dietary composition to human health has raised consumer interest in consuming fruits, vegetables, and foods containing bioactive chemicals and nutraceuticals. Lycopene belongs to the carotenoids abundantly found in tomato and tomato-based food products. It also can be present in other types of fruits like watermelon and pink guava. This review aims to outline the lycopene sources, health benefits, their applications as functional food ingredients and the challenges to commercialization. It has been reported that dietary lycopene has multifunctional health activities, including anticancer on various types of cancer, hepatoprotective, neuroprotective, and bone protective effects identified in clinical and preclinical studies. This is because, lycopene primarily affects oxidative stress, inflammation, and pathways implicated in carcinogenesis and cell proliferation. The effects of preparation and processing factors that may impair the bioavailability of lycopene consumed through diet are addressed in this review. Overall, lycopene is a valuable natural colourant that can enhance the nutritional value of foods leading to the development of new functional foods in the food industry.

Regulatory Non-coding RNAs Involved in Oxidative Stress and Neuroinflammation: An Intriguing Crosstalk in Parkinson's Disease.

Parkinson's disease (PD) is a common neurodegenerative disorder characterized by the accumulation of α-synuclein and the degeneration of dopaminergic neurons in the substantia nigra. Although the molecular bases for PD development are not fully recognized, extensive evidence has suggested that the development of PD is strongly associated with neuroinflammation. It is noteworthy that while neuroinflammation might not be a primary factor in all patients with PD, it seems to be a driving force for disease progression, and therefore, exploring the role of pathways involved in neuroinflammation is of great importance. Besides, the importance of non-coding RNAs (ncRNAs), such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and competing endogenous RNAs (ceRNAs), has been widely studied with a focus on the pathogenesis of PD. However, there is no comprehensive review regarding the role of neuroinflammation-related ncRNAs as prospective biomarkers and therapeutic targets involved in the pathogenesis of PD, even though the number of studies connecting ncRNAs to neuroinflammatory pathways and oxidative stress has markedly increased in the last few years. Hence, the present narrative review intended to describe the crosstalk between regulatory ncRNAs and neuroinflammatory targets with respect to PD to find and propose novel combining biomarkers or therapeutic targets in clinical settings.

Designing and Formulation of Nanocarriers for "Alzheimer's and Parkinson's" Early Detection and Therapy.

The potential of nanotechnology in advancing the diagnosis and treatment of neurodegenerative diseases is explored in this comprehensive literature review. The findings of these studies suggest that nanotechnology has the capacity to improve existing therapeutic approaches, create novel and safe compounds, and develop more precise imaging techniques and diagnostic methods for neurodegenerative diseases. With the emergence of the nanomedicine era, a new and innovative approach of diagnosing and treating these conditions has been introduced. Notably, the researchers' development of a nanocarrier drug delivery tool demonstrates immense potential compared to conventional therapy, as it maximizes therapeutic efficacy and minimizes undesirable as side effects.

A Review of Convex Clustering From Multiple Perspectives: Models, Optimizations, Statistical Properties, Applications, and Connections.

Traditional partition-based clustering is very sensitive to the initialized centroids, which are easily stuck in the local minimum due to their nonconvex objectives. To this end, convex clustering is proposed by relaxing K -means clustering or hierarchical clustering. As an emerging and excellent clustering technology, convex clustering can solve the instability problems of partition-based clustering methods. Generally, convex clustering objective consists of the fidelity and the shrinkage terms. The fidelity term encourages the cluster centroids to estimate the observations and the shrinkage term shrinks the cluster centroids matrix so that their observations share the same cluster centroid in the same category. Regularized by the lpn -norm ( pn ∈ {1,2,+∞} ), the convex objective guarantees the global optimal solution of the cluster centroids. This survey conducts a comprehensive review of convex clustering. It starts with the convex clustering as well as its nonconvex variants and then concentrates on the optimization algorithms and the hyperparameters setting. In particular, the statistical properties, the applications, and the connections of convex clustering with other methods are reviewed and discussed thoroughly for a better understanding the convex clustering. Finally, we briefly summarize the development of convex clustering and present some potential directions for future research.