Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Development of biological metal–organic frameworks designed for biomedical applications: from bio-sensing/bio-imaging to disease treatment

Huai-Song Wang *, Yi-Hui Wang and Ya Ding *
Key Laboratory of Drug Quality Control and Pharmacovigilance (Ministry of Education), China Pharmaceutical University, Nanjing, 210009, China. E-mail: wanghuaisong@cpu.edu.cn; dingya@cpu.edu.cn

Received 6th July 2020 , Accepted 30th July 2020

First published on 31st July 2020


Abstract

Metal–organic frameworks (MOFs) are built using various organic ligands and metal ions (or clusters). With properties of high porosity, tunable chemical composition, and potential for post-synthetic modification, they have been applied in biomedicine, especially in bio-sensing, bio-imaging, and drug delivery. Since organic ligands and metal centers (ions or clusters) in the structure of MOFs can directly influence the property, function, and performance of MOFs, strict screening of organic ligands and metal centers is necessary. Especially, to improve the application of MOFs in the field of biomedicine, biocompatible organic ligands with low toxicity are desirable. In recent years, biological metal–organic frameworks (bio-MOFs) with ideal biocompatibility and diverse functionality have attracted wide attention. Endogenous biomolecules, including nucleobases, amino acids, peptides, proteins, porphyrins and saccharides, are employed as frameworks for MOF construction. These biological ligands coordinate with diverse metal centers in different ways, leading to the structural diversity of bio-MOFs. In this review, we summarize the organic ligand selectivity in constructing different types of bio-MOFs and their influence in biomedical applications with attractive new functions.


image file: d0na00557f-p1.tif

Huai-Song Wang

Huai-Song Wang received his PhD in analytical chemistry in 2011 from Nankai University. After completing postdoctoral research at Nanjing University in 2014, he joined the faculty of the College of Pharmaceutical Analysis of China Pharmaceutical University. He is now an associate professor. His current research interest is primarily in the area of designing functional metal–organic frameworks for biosensing and bioimaging.

image file: d0na00557f-p2.tif

Yi-Hui Wang

Yi-Hui Wang was born in Shanxi, China. She received her bachelor's degree in Traditional Chinese Medicine pharmacy from China Pharmaceutical University (2020). She is currently a master of Pharmaceutical analysis under the supervision of Prof. Huai-Song Wang. Her research interest focuses on biosensors for nucleic acids.

image file: d0na00557f-p3.tif

Ya Ding

Ya Ding is a full professor of Pharmaceutical Analysis at China Pharmaceutical University, China. She received her Ph.D. degree in Analytical Chemistry from Nanjing University (2007). She was a postdoctoral fellow from 2008–2012 in the Department of Biology, Nanjing University and a visiting scholar from 2013–2014 in the Department of Chemistry, at the University of Massachusetts-Amherst. Her research interests focus on new materials and technologies for pharmaceutical analysis and disease treatment. She is the awardee of the Program for New Century Excellent Talents in University (2010) and Science Technology Achievement Award, Higher Institution (Natural Science Award, the first prize, 2011).


1. Introduction

Metal–organic frameworks (MOFs) are composed of organic ligands and metal ions (or clusters). With properties of large surface area, high porosity, tunable chemical composition, and potential for post-synthetic modification,1–5 different types of MOFs have been developed and applied in many important fields, such as gas storage/separation, catalysis, molecular sensing, and biomedicine.6–8 Especially, in the field of biomedicine, MOFs show many advantages, including high porosity, diverse structures, adjustable surface function and biodegradability.9–12 The particle composition, size and morphology of MOFs can be easily adjusted to optimize their functions. The diverse internal high porosity of MOFs provides spaces for encapsulating a large number of drugs, biological molecules, and emissive dyes, as well as nanomaterials with biological functions. So far, there have been many reports about MOFs for bio-sensing, bio-imaging, and disease treatment.13,14

For bio-sensing or bio-imaging, the luminescence properties of MOFs can be bestowed by the introduction of either organic ligands or metal centers (ions or clusters) with intrinsic luminescence properties, or luminescent guest molecules or ions.15–17 For drug delivery or disease treatment, several limitations of guest drugs can be well resolved after they are encapsulated in the pore structures or constructed in the frameworks of MOFs, including poor solubility, blood instability, and systemic toxicity due to the wide drug distribution in the whole body.

Since organic ligands directly influence the biomedical applications of MOFs, strict screening of organic ligands is necessary.18–20 In order for MOFs to be better applied in the field of biomedicine, organic ligands of MOFs with good biocompatibility and low toxicity have been employed. So far, there have been some reviews about the application of nanoscale metal–organic-frameworks in the biomedical field.21 This review focuses on metal–organic-framework based biological endogenous molecules, so their biocompatibility is self-evident. As for the biocompatibility of metal–organic frameworks, some binding modes are also widely involved, such as guest molecule loading, surface modification and directly as organic ligands to construct metal–organic frameworks.22,23 This review mainly discusses metal–organic frameworks formed by biological endogenous molecules directly coordinated with metal ions as organic ligands, called bio-MOFs, which emphasize the composition as biocompatible materials. In recent years, bio-MOFs have attracted wide attention due to their ideal biocompatibility and diverse functionality. Bio-MOFs are prepared by using biological endogenous organic ligands, including nucleobases, amino acids, peptides, proteins, porphyrins and saccharides. These biological ligands have diverse coordination ways with metal centers, leading to the diverse structures and functions of bio-MOFs (Scheme 1). In the past three years, new preparation methods and applications of bio-MOFs have made great progress. Therefore, there is large space for summary and discussion of bio-MOFs. In this review, we will summarize different types of bio-MOFs designed for biomedical applications, including bio-sensing, bio-imaging, and disease treatment. Furthermore, the future challenges and outlook of bio-MOFs are also discussed.


image file: d0na00557f-s1.tif
Scheme 1 Bio-MOFs prepared using biological organic ligands for biomedicine.

2. Designing bio-MOFs with bio-ligands

As a subclass of MOFs, bio-MOFs possess both the porous properties of MOFs and the physiological functions of biomolecular ligands. The structural diversity of bio-ligands (including nucleobases, amino acids, peptides, proteins, porphyrins and saccharides) can determine the biomedical performances of bio-MOFs. And, the presence of bio-ligands enhances the biocompatibility of bio-MOFs, which makes them more suitable to be used in the biomedical field. Herein, different bio-ligands for designing bio-MOFs will be introduced.

2.1 Nucleobase ligands

Nucleobases provide a large number of strong hydrogen bonding moieties, such as oxygen-containing and nitrogen-containing sites, and possess strong coordination ability with metal ions.24,25 The rigid molecular structure of nucleobases can facilitate the formation of stable cavities in porous bio-MOFs. The formation of these bio-MOFs is generally achieved via deprotonation of nucleobases during the coordination with metal centers. Polycarboxylate ligands can be used as auxiliary ligands to prepare the diverse structures of bio-MOFs.26

Nucleobases are mainly divided into two types: purines and pyrimidines. Purines (adenine and guanine) are more suitable as biological ligands than pyrimidines (thymine and cytosine), because of their more coordination sites.27 For example, adenine contains 5 different nitrogen atoms, an N6 amino group and N1, N3, N7 and N9 imino-nitrogens,28 which have strong coordination behavior with metal ions. Recently, a type of bio-MOF, SION-19, was synthesized based on the ligand of adenine (Ade), which enabled the cavity of SION-19 to contain the Watson–Crick surface: the basic unit of the hydrogen bond that formed the DNA double helix.29 SION-19 was prepared by the reaction of Zn(NO3)2·6H2O, 1,3,6,8-tetrakis(p-benzoic acid) pyrene (H4TBAPy) and Ade (Table 1). In the structure of SION-19 (Fig. 1), the octahedral cage was composed of four Ade ligands and six Zn2+. Ade was used as a tridentate ligand for bridging, while the deprotonated TBAPy formed a complex in monodentate coordination. Based on the coordination property above, the pores of SION-19 can be divided into acid pores and base pores. The size of acid pores is 7.9 Å × 4.9 Å, with free carboxylate groups of TBAPy; while the size of base pores is 5.4 Å × 6.9 Å, with an unobstructed Watson–Crick surface provided by Ade. For application, SION-19 can capture thymine (Thy) through hydrogen bonding, achieving A–T base pairing in the cavity of SION-19. Thus, SION-19 can simulate the role of DNA, which can be used as a nanoreactor. Furthermore, this new type of bio-MOF can be potentially used for the adsorption and separation of specific molecules, targeted drug delivery, and solid-phase catalytic reactions.

Table 1 Bio-MOFs prepared using bio-ligands for separation, catalysis and bio-sensing
Bio-MOFs Bio-ligands Metal ions Auxiliary ligands Targets Limit of detection Potential applications Ref.
SION-19 Adenine Zn2+ H4TBAPy Molecular adsorption and separation, solid-phase catalytic reaction 29
{CaCu6[(S,S)-serimox]3(OH)2(H2O)}·39H2O (-Ca) Serimox = bis [(S)-serine] oxalyl diamide Ca2+, Cu2+ B-vitamin Molecular recognition and extraction 37
MAT@Zn2(adenine) Adenine Zn2+ MAT Enzyme protection 30
PLGA (γ-poly-1-glutamic acid) Zn2+ HmIM Biomacromolecule protection 41
Zn(CG)n Cytosine guanine Zn2+ Methylene blue (MB) Photocatalytic degradation 31
Bio-MOF-11 Adenine Co2+ p-HBA, SCP Catalytic degradation 32
Zn(Glu) L-Glutamic acid Zn2+ Cyclic carbonate Cycloaddition catalysis 35
Cu(Trp) L-Tryptophan Cu2+ Cyclic carbonate Cycloaddition catalysis 36
Co-P-MOF Aspartic acid Co2+ Asymmetric sulfuroxide Cross-coupling reaction catalysis 42
bisH-SF Ferritin Ni2+ His2 Enzymatic catalysis 45
MIP-202(Zr) L-Aspartic acid Zr4+ 1.1 × 10−2 S cm−1 Electrochemical detection 39
MnO2 NFs BSA Mn2+ Glucose 1 × 10−6 M Glucose colorimetric detection 44
Eu3+-TTA@ bio-MOF-1 Adenine Zn2+ Organic amine Fluorescent probe 57
PCN-222 TCPP Zr4+ Phosphoprotein(a-casein) 0.13 μg mL−1 Photoelectrochemical sensor 58
{CuTCPP[AlOH]2}n TCPP Cu2+ H2S 16 nM Fluorescent probe 59
R-Uio H2DBP-Pt Hf4+ H2QPDC-NH2 O2 0.017 mm Hg−1 Phosphorescence/fluorescence dual-emissive probe 60
dye@ZnBTCA Adenine Zn2+ Temperature 260 K Fluorescence ratio probe 61
Eu@1 H3TAPB Zn2+, Eu3+ Cu2+ 0.01 mM Fluorescent probe 62



image file: d0na00557f-f1.tif
Fig. 1 Structural simulation of SION-19. (a) and (b) Three-dimensional structures of SION-19 at different scales, where pink represents Zn atoms, red represents O atoms, blue represents N atoms, gray represents C atoms, and yellow represents H atoms. (c–e) The pore structure of SION-19. (d) Watson–Crick surface provided by Ade. Reproduced from ref. 29 with permission from Nature Publishing Group.

Another Ade based bio-MOF was reported for enhancing enzyme activity.30 Methionine adenosyltransferase (MAT), a type of enzyme that can catalyze the reaction of methionine and ATP to generate S-adenosylmethionine, was encapsulated in a bio-MOF prepared by the coordination of Ade and Zn2+. The formed enzyme/bio-MOF hybrid nanomaterial, MAT@Zn2(Ade), can enhance the activity and stability of MAT. Furthermore, under extreme conditions (such as temperature changes, acidic conditions, protease and organic solvent erosion), it can maintain long-term stability. At pH 3 and 80 °C, MAT@Zn2(Ade) still showed strong catalytic activity. This research indicated that bio-MOFs have a promising future to be used in the field of enzyme protection, enhancing the activity of enzymes.

Cytosine and guanine have also recently been used for preparing bio-MOFs. Sarma and co-workers reported that cytosine (or guanine) can coordinate with Zn2+ under deprotonated conditions, forming a type of metal gel with nanofiber morphology.31 And, the coordination interaction between Zn2+ and a mixture of the two nucleobases can produce a hybrid flower like superstructure. The self-assembled bio-MOFs exhibited semiconducting characteristics for environmental purification by photocatalytic degradation of pollutant dyes (methylene blue, MB).

Other nucleobase based bio-MOFs, such as water-stable bio-MOF-11-Co (prepared by the coordination of Co2+ and Ade) also showed degradation ability toward guest molecules.32 Bio-MOF-11-Co with submicron size exhibited rapid degradation behavior toward para-hydroxybenzoic acid (p-HBA) and sulfachloropyradazine (SCP), which are hazardous chemicals existing in wastewater. Additionally, nucleobase based bio-MOFs can be prepared with emissive properties, which can increase their application field. For example, bioMOF-Zn, coordinated by 4,4′-biphenyl-dicarboxylic acid (BPDC) and Ade, showed strong blue emission and can be observed by the naked eye.33 BioMOF-Zn showed excellent loading capacity (1.72 g g−1) and release capacity (56% after two days) for diclofenac sodium, and can be further used for drug delivery.

2.2 Amino acid ligands

Amino acids, containing both carboxyl (–COOH) and amino (–NH2) groups, are ideal ligands for preparing bio-MOFs. In proteins, the side chain of amino acids can affect the overall hydrophilic or hydrophobic character, which will influence subsequent protein formation and functions. Therefore, the amino groups, carboxyl groups and side chains of amino acids can provide multiple coordination ways, making them a type of promising organic ligand for bio-MOFs. However, research studies have shown that amino acid based bio-MOFs are hardly prepared with high porosity. This might because of the closed groups of –COOH and –NH2 in the structures of amino acid molecules. Therefore, the modification of natural amino acids and using auxiliary ligands are needed to expand the porosity of multi-dimensional bio-MOFs.34

Recently, a type of water-stable amino acid based bio-MOF with 3D topology was reported by the coordination of L-glutamic acid as the bio-ligand and Zn2+ as the metal ion.35 The prepared bio-MOF (ZnGlu) with open metal sites was successfully used for the catalytic synthesis of cyclic carbonate from CO2. Furthermore, another amino acid-based bio-MOF, CuTrp with catalytic properties, was prepared by the coordination of L-tryptophan (Trp) and Cu2+.36 CuTrp showed good catalytic activity and recyclability in the catalytic preparation of cyclic carbonates from epoxides and CO2.

Amino acid based bio-MOFs have also been designed for selective guest molecule adsorption. For example, the bio-MOF derived from L-serine can be used as an adsorbent for B-vitamin molecular recognition and extraction;37 a zinc glutamate bio-MOF was synthesized and supported on cellulose fabrics for drug loading and controlled release.38 Nitric oxide (NO) and 5-fluorouracil (5-FU) loaded in the bio-MOF were controlled released relying on the acid environment of pathological sites.

In the field of electrochemistry, amino acid based bio-MOFs have shown their advantages. A zirconium bio-MOF, MIP-202(Zr), composed of L-aspartic acid, showed a high and stable proton conductivity of 0.011 s cm−1 at 363 K and 95% relative humidity.39Fig. 2 shows the structure of MIP-202(Zr). The stability of MIP-202(Zr) was proved to be better than previously reported Zr-MOFs prepared using aromatic carboxylic acid linkers. Furthermore, MIP-202(Zr) not only exhibited excellent stability in water, but also had significant tolerance to both acidic and alkaline conditions. MIP-202(Zr) with the proton conduction ability can be potentially used as a promising candidate in electroanalytical chemistry for biological molecule detection.


image file: d0na00557f-f2.tif
Fig. 2 Crystal structures of MIP-202(Zr). (a) The 12-connected Zr6(μ3-O)4(μ3-OH)4(COO–)12 cluster SBU. (b) The aspartic acid linker. (c and d) The structure of MIP-202(Zr) viewed along the a-axis (c) and the (101) plane (d). Zr atoms or polyhedra, oxygen, carbon, nitrogen, and hydrogen atoms are respectively shown with colors of light blue, red, gray, dark blue, and white. Reproduced from ref. 39 with permission from Nature Publishing Group.

2.3 Peptide ligands

Peptides, composed of amino acids, are important options for regulating physiological functions.40 Due to different stereo structures and conformations of amino acids, peptides with inherent chirality have specific targeting ability in biological systems. The peptide structure can be adjusted by changing the type and order of amino acids. The diversity of peptides enables them to contain multiple coordination sites, which can be employed to synthesize multi-dimensional bio-MOFs.

PLGA (γ-poly-1-glutamic acid) is a type of anionic peptide with rich carboxyl groups, and has been employed as a surface modification moiety for preparing biomacromolecules through electrostatic interaction. Thereby, the properties of PLGA greatly promote the formation of peptide based bio-MOFs. Recently, Ouyang and co-workers reported a type of PLGA biohybrided ZIF-8 for protecting and enhancing the properties of biomacromolecules or proteins.41 In the bio-composite, the excess PLGA chains can competitively interact with metal ions through carboxyl groups, leading to morphological evolution and defective structure formation (Fig. 3). This gentle strategy can evaluate the protection effect of MOF nanostructures on the activity of biological macromolecules. Compared with widely studied 3D MOF composites, the prepared MOF biohybrid showed a significant advantage in the protection of host proteins and retained their functionalities.


image file: d0na00557f-f3.tif
Fig. 3 Illustration of the deformable MOF by using a PLGA modulator. Reproduced from ref. 41 with permission of WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Cobalt containing compounds generally possess catalytic properties for chemical reactions. Recently, a type of chiral bio-MOF (Co-P-MOF), prepared using cobalt and aspartic acid-based peptides, was successfully used for asymmetric sulfoxidative cross-coupling.42 It can be used to catalyze the asymmetric synthesis of chiral sulfoxides from cross coupling reaction of aryl halides, phenylboronic acid and poly sulfinylpiperazine (as novel S[double bond, length as m-dash]O transfer agent). Therefore, peptides, with chiral characteristics, have special molecular recognition ability. The formed bio-MOFs may have potential applications in asymmetric catalysis, as well as in enantiomeric separation.

2.4 Protein ligands

Because of the flexibility and complexity of the protein structure, the coordination between metal ions and the protein interface is difficult to control.43 However, due to the versatility and diversity of protein molecules, the development of protein-based bio-MOFs still has a good prospect. For example, Mn2+ can spontaneously oxidize to MnO2 crystals in alkaline solution, and BSA can be used as the skeleton and stabilizer.44 The morphologically controlled MnO2 nanosheet was obtained by changing reaction conditions. It was found that the material has tandem enzymatic characteristics (namely glucose oxidase-like activity and peroxidase-like activity). Then the colorimetric assay of glucose based on one-pot enzyme-free catalysis was proposed. This method has a high sensitivity, low detection limit and short detection time.

Ferritin is widely found in living organisms and usually consists of 24 subunits assembled into hollow protein shells with octahedral symmetry. Ferritin has been studied as a nano-platform for preparing various nanomaterials or as a carrier for tumor imaging and treatment. Recently, a strategy for the manufacture of binary MOFs was proposed.45 Considering the symmetry of octahedral ferritin, four His2 (His–His) patterns, which replaced Thr157 located on the outer surface of the C-4 symmetry axis, were mixed with the outer surface of ferritin nanocages near each C-4 channel to produce protein joints (bisH-SF). Then, the addition of nickel ions to the bisH-SF solution triggered the self-assembly of ferritin nanocages into a porous 3D-crystal MOF with a designed protein lattice, where two adjacent ferritin molecules (along C-4 symmetry axis) were bridged by four binuclear or quad-nuclear nickel clusters (depending on Ni2+ concentration) (Fig. 4). This work provided a simple method for control of binary protein-metal crystal frames, and the resulting MOF exhibited intrinsic ferric oxidase activity and peroxidase-like catalytic activity.


image file: d0na00557f-f4.tif
Fig. 4 Self-assembly of ferritin nanocages into 3D crystals with a cubic lattice through Ni2+ clusters upon the replacement of T157 (red) by His2 (blue) near the C-4 channels for Ni2+ (green). Reproduced from ref. 45 with permission of WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

2.5 Porphyrin ligands

Porphyrins are a class of macromolecular compounds containing α-carbon atoms of four pyrrole subunits connected with a methine bridge ([double bond, length as m-dash]CH).46 Porphyrins have good biocompatibility, specific targeting for tumor tissues and no obvious toxic and side effects on normal cells, so they are widely used in the biomedical field. In addition, porphyrins have potential value in biomimetic catalysis. So they are suitable as biological ligands for preparing bio-MOFs. Tetra (4-carboxyphenyl) porphyrin (H4TCPP) is one of the most commonly used porphyrin ligands for the construction of porphyrin metal organic frameworks. TCPP and Zr6 clusters can form a series of MOFs named PCN.47

PCN-224 is composed of Zr4+ and TCPP ligands, which are coordinated by covalent bonds.48 Zr4+ is used for the combination with bridged ligands to prepare an ultra-stable Zr-MOF. The photosensitizer TCPP can be employed to construct PCN-224 (Fig. 5). Due to the easy diffusion of oxygen through the porous MOF structure, the resulting porphyrin-type MOF structure had high light-to-oxygen generation. The porphyrin MOF-based nanoprobe can effectively inhibit the self-assembly of monomer Aβ into a β-sheet structure under the excitation of near infrared light. In addition, light-excited PCN-224 also significantly reduced Aβ-induced cytotoxicity under near infrared radiation. The photo-oxidation treatment triggered by this porphyrin MOF-based nanoprobe will have good applications in neurodegenerative diseases such as Alzheimer's disease. Platinum nanoparticles are evenly fixed on PCN-224, with stability and catalase-like activity.49 This strategy used oxygen produced by hydrogen peroxide to improve the hypoxic environment of tumors. Thereby, this can generate singlet oxygen causing greater damage to tumors by PDT. Zr clusters are multivalently coordinated with the HA's carboxylic acid.50 Thus, HA can stably cover the surface of the MOF. HA can allow drug carriers to selectively aggregate in CD44 overexpressed cancer cells and release enzyme-responsive drugs in the environment of cancer cells. This HA-PCN system combined chemotherapy and photodynamic therapy to improve the therapeutic effect on tumors.


image file: d0na00557f-f5.tif
Fig. 5 Schematic illustration of the synthesis of PCN-224 nanoparticles. Reproduced from ref. 48 with permission of American Chemical Society.

2.6 Saccharide ligands

Saccharides have been applied as building blocks for self-assembled structures, which become effective host molecules. Among them, cyclodextrins (CDs) with special structures are important host molecules.51 Cyclodextrin (CD) is the general name for a series of cyclic oligosaccharides produced by the action of amylase. α, β, and γ-cyclodextrins are cyclic oligomers composed of 6, 7, and 8 D (+)-glucopyranose. These molecules with a cylindrical shape are wide at the top, narrow at the bottom, and open at both ends. And it is relatively hydrophobic inside the cavity, while all hydroxyl groups are outside the molecule.

A type of nanoporous cyclodextrin MOF (CD-MOF) crystal suitable for dry powder inhalation (DPI) and aerodynamic deposition was prepared and used for drug delivery.52 The CD-MOF, composed of γ-cyclodextrin (γ-CD) and potassium ions, was used as the DPI carrier for pulmonary delivery of budesonide (BUD). Cholesterol (CHO) was applied to modify the CD-MOF powder to improve the fluidity and aerodynamic performance of the particles. The drug effectively entered the lungs via the prepared CHO-CD-MOF, which can be used as a promising DPI carrier for drug delivery with a small dose.

The γ-CD based CD-MOF, synthesized from the coordination of γ-CD and KOH by the vapor diffusion approach, can also be used as a carrier of methotrexate (MTX).53 The inclusion formation of MTX with γ-CD increased the dissolution rate of drugs and slightly reduced the permeability of drugs through the lipophilic membrane. The authors predict that the drug delivery system can be used for oral drug absorption with minimal adverse effects.

2.7 Other biomolecule based ligands

Besides nucleobases, amino acids, peptides, proteins, porphyrins, and saccharides, some other biologically active small molecules can also be used as bio-ligands to coordinate with metals to form novel bio-MOFs. Acid biomolecules, such as formic acid, oxalic acid, and fumaric acid, containing carboxylic acid groups have been used as organic ligands. Recently, some therapeutic molecules with coordination groups have also been used to prepare bio-MOFs for biomedical applications. Curcumin (CCM), a polyphenolic pigment found in turmeric roots, is a natural compound with C2v bilateral symmetry. Its uniqueness lies in its three ionizable protons, two of which come from phenol groups and the other from enol groups. CCM has different metal binding sites and exhibits a variety of possible coordination modes (Fig. 6). This feature increases its potential structural diversity when it is used as a multidentate linker to react with metal ions. CCM is also helpful in treating chronic diseases including cancer, inflammatory diseases and neurological diseases. By coordinating with Zn2+, CCM can be used as a bio-ligand to prepare a bio-MOF, [Zn(curcumin)]n, called sc-CCMOF-1.54 As a system of a releasable active agent, the bio-MOF was specially applied in CCM delivery.
image file: d0na00557f-f6.tif
Fig. 6 The structure of sc-CCMOF-1: (a) the coordination mode; (b) the Zn2O8 SBU structure and (c) the 2D framework. Reproduced from ref. 54 with permission of American Chemical Society.

Mg2+ deficiency may influence the pathways of osteoarthritis (OA) pathology. Preparing Mg2+ based bio-MOFs for Mg2+ delivery to treat OA is an ideal choice. Tang and co-workers designed a type of Mg2+ based bio-MOF, Mg/HCOOH-MOF by using formic acid as the ligand, to achieve long-term release of Mg2+ for the treatment of OA.55 As a type of nano-drug, the Mg/HCOOH-MOF is stable in biological systems and can release Mg2+ continuously. Long-term application of the Mg/HCOOH-MOF can promote the proliferation of MG63 cells, significantly up-regulate the expression of osteogenic genes, and contribute to bone formation and resorption. In addition, it can obviously reduce the expression of inflammatory genes and has anti-inflammatory effects on subchondral bone. Therefore, the Mg/HCOOH-MOF is considered to be a potential nano-drug for the treatment of OA.

5-Borobenzene 1,3-dicarboxylic acid (BBDC) with boric acid groups has been used as a ligand to react with glucose, increasing the biocompatibility of MOFs. Recently, Yin and co-workers reported a type of BBDC based bio-MOF for imaging-guided chemotherapy.56 The bio-MOF was prepared by the coordination of BBDC as the ligand and Gd3+ as the metal center. Glucose was coated on the surface of the bio-MOF via the specific reversible condensation of diol and borate, thus improving its biocompatibility. The interaction between glucose and glucose transporters ensured successful tumor targeting. In addition, the glucose layer acted as a pH responsive moiety to prevent drug leakage. The anti-cancer drug DOX can be loaded in the MOF, and used as an intelligent nano-system for MR image-guided tumor targeted therapy (Fig. 7). At present, the imaging-guided drug release by using bio-MOFs has made some progress, but it is still in the primary stage. The systematic study of the stability, biocompatibility and toxicity of bio-MOFs in a biological environment still needs deep exploration.


image file: d0na00557f-f7.tif
Fig. 7 DOX@MOFs-glucose for image-guided tumor targeted therapy. (a) Preparation method for DOX@MOFs-glucose. (b) Drug release mechanism. (c) Multifunction of the nanocarrier for imaging-guided drug release. Reproduced from ref. 56 with permission of American Chemical Society.

The bio-MOFs mentioned above are listed in the following tables. The typical characteristics of the bio-MOFs discussed in this review for bio-sensing are listed in Table 1, including sensing targets, limits of detection, and the potential applications of the bio-MOF based sensors. And, bio-MOFs for bio-imaging and disease treatment are listed in Table 2. The imaging methods, therapeutic methods and target diseases of the bio-MOFs are summarized.

Table 2 Bio-MOFs prepared using bio-ligands for bio-imaging and drug delivery
Bio-MOFs Bio-ligands Metal ions Auxiliary ligands Imaging methods Therapeutic methods Target diseases Ref.
SION-19 Adenine Zn2+ H4TBAPy Chemotherapy Targeted drug delivery 29
Bio-MOF-Zn Adenine Zn2+ 4,4′-Biphthalic acid (BPDC) Diclofenac sodium release Drug release OA/RA therapy 33
Zn(Glu) L-Glutamic acid Zn2+ Chemotherapy (NO, 5-Fu) Drug delivery 38
PCN-224 TCPP Zr4+ Photo-oxidation treatment Neurodegenerative disease therapy 48
PCN-224 Pt TCPP Zr4+ Pt PDT Tumor therapy 49
HA-PCN TCPP Zr4+ HA Chemotherapy, PDT Tumor therapy 50
CHO-CD-MOF γ-CD K+ CHO Budesonide (BUD) release Budesonide (BUD) DPI carrier 52
γ-CD-MOF γ-CD K+ Chemotherapy (MTX), immune system suppressant Tumor therapy 53
sc-CCMOF-1 Curcumin (CCM) Zn2+ CCM release Drug delivery, cancer, inflammatory disease and neurological disease therapy 54
Mg/HCOOH-MOF HCOOH Mg2+ Mg2+ release OA therapy 55
Gd-MOFs 5-Borobenzene 1,3-dicar boxylic acid (BBDC) Gd3+ MRI/CT Chemotherapy (DOX) Drug release, bio-imaging 56
ZrMOF DNA Zr4+ Targeted imaging PDT Tumor therapy, bio-imaging 63
isMOFs Cytosine-phosphate-guanosine (CpG) Zr4+ DNA therapy Drug release 64
TTA-UC MOF TCPP Zr4+ DCDPA Optical imaging Bio-imaging 65
Fe-MIL-53-NH2-FA-5-FAM/5-FU FA Fe3+ NH2–H2BDC, 5-FAM FI/MRI Chemotherapy (5-fu) Drug delivery, bio-imaging 66
89Zr-UiO-66/Py-PGA- PEG -F3 F3 peptide Zr4+ BDC, BA, PET Bio-imaging 67


3. Conclusion and outlook

MOFs applied in the field of biomedicine not only need to achieve the required functions for bio-sensing, bio-imaging, and drug delivery, but also need good biocompatibility. The use of biological endogenous molecules as organic ligands to form bio-MOFs can potentially meet these two requirements. Biological ligands have multiple coordination sites, self-assembly capabilities, chirality, and hydrophobic and hydrophilic tendencies. At the same time, many bio-ligands have chiral conformations, so they can be used to construct bio-MOFs with chiral recognition, separation and catalytic behaviors.

Although bio-MOFs have made great progress in preparation and biomedical applications, there are still some biological application challenges that need to be addressed. First, the interaction between metal ions and biological ligands needs to be systematically studied, which can provide a reasonable principle system for the design of bio-MOFs. Second, it is necessary to develop simple, controllable and cost-effective methods for preparation, and investigate the influence of solvents, temperature, pH, etc. on material synthesis, to ensure suitable size, uniform shape and processability of bio-MOFs. Third, the thermal and chemical stability and water stability of bio-MOFs still need to be strengthened, otherwise, it will limit their development in biological applications. Furthermore, a detailed understanding of the interaction between bio-MOFs and cells is essential, which will help further imaging and treatment systems. Bio-MOFs should have a suitable circulation time in vivo, and then actively or passively target tumor cells to be specifically internalized. After exerting their efficacy, they should degrade without affecting normal cells. This is related to the toxicity of bio-MOFs. Bio-MOFs with good biocompatibility and low toxicity will bring great progress to biomedical applications. Finally, the mechanism of bio-MOFs overcoming barriers in vivo and a series of subsequent processes (such as biological absorption, distribution, transformation, metabolism and excretion) require in-depth study. It is believed that bio-MOFs will become a type of materials with excellent biological structure and function, which can be applied in the biomedical field in the future.

Conflicts of interest

The authors declare no competing financial interest.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (21705165 and 31870946), the Funding of Double First-rate discipline construction (CPU2018GF07, China), the Fundamental Research Funds for the Central Universities, and a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.

References

  1. H.-C. Zhou, J. R. Long and O. M. Yaghi, Chem. Rev., 2012, 112, 673–674 CrossRef CAS .
  2. S. Kitagawa, R. Kitaura and S. Noro, Angew. Chem., Int. Ed., 2004, 43, 2334–2375 CrossRef CAS PubMed .
  3. O. M. Yaghi, G. Li and H. Li, Nature, 1995, 378, 703–706 CrossRef CAS .
  4. D. Britt, D. Tranchemontagne and O. M. Yaghi, Proc. Natl. Acad. Sci. U. S. A., 2008, 105, 11623–11627 CrossRef CAS PubMed .
  5. H. Furukawa, N. Ko, Y. B. Go, N. Aratani, S. B. Choi, E. Choi, A. O. Yazaydin, R. Q. Snurr, M. O'Keeffe, J. Kim and O. M. Yaghi, Science, 2010, 329, 424–428 CrossRef CAS PubMed .
  6. A. Schneemann, V. Bon, I. Schwedler, I. Senkovska, S. Kaskel and R. A. Fischer, Chem. Soc. Rev., 2014, 43, 6062–6096 RSC .
  7. M. L. Foo, R. Matsuda and S. Kitagawa, Chem. Mater., 2014, 26, 310–322 CrossRef CAS .
  8. A. Betard and R. A. Fischer, Chem. Rev., 2012, 112, 1055–1083 CrossRef CAS PubMed .
  9. M. Paul and P. Dastidar, Chem.–Eur. J., 2016, 22, 988–998 CrossRef CAS .
  10. C. He, D. Liu and W. Lin, Chem. Rev., 2015, 115, 11079–11108 CrossRef CAS .
  11. F.-Y. Yi, D. Chen, M.-K. Wu, L. Han and H.-L. Jiang, Chempluschem, 2016, 81, 675–690 CrossRef CAS PubMed .
  12. D. Liu, K. Lu, C. Poon and W. Lin, Inorg. Chem., 2014, 53, 1916–1924 CrossRef CAS PubMed .
  13. P. Horcajada, R. Gref, T. Baati, P. K. Allan, G. Maurin, P. Couvreur, G. Ferey, R. E. Morris and C. Serre, Chem. Rev., 2012, 112, 1232–1268 CrossRef CAS PubMed .
  14. M. Gimenez-Marques, T. Hidalgo, C. Serre and P. Horcajada, Coord. Chem. Rev., 2016, 307, 342–360 CrossRef CAS .
  15. D. Zou, J. Zhang, Y. Cui and G. Qian, Dalton Trans., 2019, 48, 6669–6675 RSC .
  16. H.-S. Wang, Coord. Chem. Rev., 2017, 349, 139–155 CrossRef CAS .
  17. Y. Liu, X.-Y. Xie, C. Cheng, Z.-S. Shao and H.-S. Wang, J. Mater. Chem. C, 2019, 7, 10743–10763 RSC .
  18. S. Beg, M. Rahman, A. Jain, S. Saini, P. Midoux, C. Pichon, F. J. Ahmad and S. Akhter, Drug Discovery Today, 2017, 22, 625–637 CrossRef CAS PubMed .
  19. R. J. Kuppler, D. J. Timmons, Q.-R. Fang, J.-R. Li, T. A. Makal, M. D. Young, D. Yuan, D. Zhao, W. Zhuang and H.-C. Zhou, Coord. Chem. Rev., 2009, 253, 3042–3066 CrossRef CAS .
  20. Z. Ma and B. Moulton, Coord. Chem. Rev., 2011, 255, 1623–1641 CrossRef CAS .
  21. S. Li, L. Tan and X. Meng, Adv. Funct. Mater., 2020, 30, 1908924 CrossRef CAS .
  22. K. Lu, T. Aung, N. Guo, R. Weichselbaum and W. Lin, Adv. Mater., 2018, 30, e1707634 CrossRef PubMed .
  23. S. Wang, C. M. McGuirk, A. d'Aquino, J. A. Mason and C. A. Mirkin, Adv. Mater., 2018, 30, e1800202 CrossRef PubMed .
  24. G. Beobide, O. Castillo, A. Luque and S. Perez-Yanez, Crystengcomm, 2015, 17, 3051–3059 RSC .
  25. Z.-J. Lin, J. Lu, M. Hong and R. Cao, Chem. Soc. Rev., 2014, 43, 5867–5895 RSC .
  26. Pratibha and S. Verma, Cryst. Growth Des., 2015, 15, 510–516 CrossRef CAS .
  27. F. H. Allen, Acta Crystallogr., Sect. B: Struct. Sci., 2002, 58, 380–388 CrossRef PubMed .
  28. G. Beobide, O. Castillo, J. Cepeda, A. Luque, S. Perez-Yanez, P. Roman and J. Thomas-Gipson, Coord. Chem. Rev., 2013, 257, 2716–2736 CrossRef CAS .
  29. S. L. Anderson, P. G. Boyd, A. Gladysiak, T. N. Nguyen, R. G. Palgrave, D. Kubicki, L. Emsley, D. Bradshaw, M. J. Rosseinsky, B. Smit and K. C. Stylianou, Nat. Commun., 2019, 10, 1612 CrossRef PubMed .
  30. J. He, S. Sun, M. Lu, Q. Yuan, Y. Liu and H. Liang, Chem. Commun., 2019, 55, 6293–6296 RSC .
  31. B. Sharma, A. Mahata, S. Mandani, N. Thakur, B. Pathak and T. K. Sarma, New J. Chem., 2018, 42, 17983–17990 RSC .
  32. M. R. Azhar, P. Vijay, M. O. Tade, H. Sun and S. Wang, Chemosphere, 2018, 196, 105–114 CrossRef CAS PubMed .
  33. G. N. Lucena, R. C. Alves, M. P. Abuçafy, L. A. Chiavacci, I. C. da Silva, F. R. Pavan and R. C. G. Frem, J. Solid State Chem., 2018, 260, 67–72 CrossRef CAS .
  34. I. Imaz, M. Rubio-Martinez, J. An, I. Sole-Font, N. L. Rosi and D. Maspoch, Chem. Commun., 2011, 47, 7287–7302 RSC .
  35. A. C. Kathalikkattil, R. Babu, R. K. Roshan, H. Lee, H. Kim, J. Tharun, E. Suresh and D.-W. Park, J. Mater. Chem. A, 2015, 3, 22636–22647 RSC .
  36. G. S. Jeong, A. C. Kathalikkattil, R. Babu, Y. G. Chung and D. Won Park, Chin. J. Catal., 2018, 39, 63–70 CrossRef CAS .
  37. H. M. Perez-Cejuela, M. Mon, J. Ferrando-Soria, E. Pardo, D. Armentano, E. F. Simo-Alfonso and J. M. Herrero-Martinez, Mikrochim. Acta, 2020, 187, 201 CrossRef CAS PubMed .
  38. S. A. Noorian, N. Hemmatinejad and J. A. R. Navarro, J. Inorg. Biochem., 2019, 201, 110818 CrossRef CAS PubMed .
  39. S. Wang, M. Wahiduzzaman, L. Davis, A. Tissot, W. Shepard, J. Marrot, C. Martineau-Corcos, D. Hamdane, G. Maurin, S. Devautour-Vinot and C. Serre, Nat. Commun., 2018, 9, 4937 CrossRef PubMed .
  40. L. Huang, L. Massa and J. Karle, Quantum Biochem., 2010, 1–60 Search PubMed .
  41. G. Chen, S. Huang, X. Kou, F. Zhu and G. Ouyang, Angew. Chem., Int. Ed. Engl., 2020, 59, 2–10 CrossRef .
  42. A. Ghorbani-Choghamarani and Z. Taherinia, Synth. Met., 2020, 263, 116362 CrossRef CAS .
  43. H. Cai, Y.-L. Huang and D. Li, Coord. Chem. Rev., 2019, 378, 207–221 CrossRef CAS .
  44. L. Han, H. Zhang, D. Chen and F. Li, Adv. Funct. Mater., 2018, 28, 1800018 CrossRef .
  45. C. Gu, H. Chen, Y. Wang, T. Zhang, H. Wang and G. Zhao, Chemistry, 2020, 26, 3016–3021 CrossRef CAS PubMed .
  46. A. S. Ivanov and A. I. Boldyrev, Org. Biomol. Chem., 2014, 12, 6145–6150 RSC .
  47. D. Feng, Z. Y. Gu, J. R. Li, H. L. Jiang, Z. Wei and H. C. Zhou, Angew. Chem., Int. Ed. Engl., 2012, 51, 10307–10310 CrossRef CAS PubMed .
  48. J. Wang, Y. Fan, Y. Tan, X. Zhao, Y. Zhang, C. Cheng and M. Yang, ACS Appl. Mater. Interfaces, 2018, 10, 36615–36621 CrossRef CAS PubMed .
  49. Y. Zhang, F. Wang, C. Liu, Z. Wang, L. Kang, Y. Huang, K. Dong, J. Ren and X. Qu, ACS Nano, 2018, 12, 651–661 CrossRef CAS PubMed .
  50. K. Kim, S. Lee, E. Jin, L. Palanikumar, J. H. Lee, J. C. Kim, J. S. Nam, B. Jana, T. H. Kwon, S. K. Kwak, W. Choe and J. H. Ryu, ACS Appl. Mater. Interfaces, 2019, 11, 27512–27520 CrossRef CAS PubMed .
  51. J. Szejtli, Chem. Rev., 1998, 98, 1743–1753 CrossRef CAS PubMed .
  52. X. Hu, C. Wang, L. Wang, Z. Liu, L. Wu, G. Zhang, L. Yu, X. Ren, P. York, L. Sun, J. Zhang and H. Li, Int. J. Pharm., 2019, 564, 153–161 CrossRef CAS PubMed .
  53. I. Kritskiy, T. Volkova, T. Sapozhnikova, A. Mazur, P. Tolstoy and I. Terekhova, Mater. Sci. Eng., C, 2020, 111, 110774 CrossRef CAS PubMed .
  54. N. Portolés-Gil, A. Lanza, N. Aliaga-Alcalde, J. A. Ayllón, M. Gemmi, E. Mugnaioli, A. M. López-Periago and C. Domingo, ACS Sustainable Chem. Eng., 2018, 6, 12309–12319 CrossRef .
  55. Z. Li, Y. Peng, X. Pang and B. Tang, ChemMedChem, 2020, 15, 13–16 CrossRef CAS PubMed .
  56. H. Zhang, Y. Shang, Y. H. Li, S. K. Sun and X. B. Yin, ACS Appl. Mater. Interfaces, 2019, 11, 1886–1895 CrossRef CAS PubMed .
  57. X. Shen and B. Yan, J. Mater. Chem. C, 2015, 3, 7038–7044 RSC .
  58. G.-Y. Zhang, Y.-H. Zhuang, D. Shan, G.-F. Su, S. Cornier and X.-J. Zhang, Anal. Chem., 2016, 88, 11207–11212 CrossRef CAS PubMed .
  59. Y. Ma, H. Su, X. Kuang, X. Li, T. Zhang and B. Tang, Anal. Chem., 2014, 86, 11459–11463 CrossRef CAS PubMed .
  60. R. Xu, Y. Wang, X. Duan, K. Lu, D. Micheroni, A. Hu and W. Lin, J. Am. Chem. Soc., 2016, 138, 2158–2161 CrossRef CAS PubMed .
  61. H. Cai, W. Lu, C. Yang, M. Zhang, M. Li, C.-M. Che and D. Li, Adv. Opt. Mater., 2019, 7, 1801149 CrossRef .
  62. Y.-Y. Liang, L.-J. Luo, Y. Li, B.-K. Ling, B.-W. Chen, X.-W. Wang and T.-G. Luan, Eur. J. Inorg. Chem., 2019, 206–211 CrossRef CAS .
  63. Y. Liu, W. Hou, L. Xia, C. Cui, S. Wan, Y. Jiang, Y. Yang, Q. Wu, L. Qiu and W. Tan, Chem. Sci., 2018, 9, 7505–7509 RSC .
  64. Z. Wang, Y. Fu, Z. Kang, X. Liu, N. Chen, Q. Wang, Y. Tu, L. Wang, S. Song, D. Ling, H. Song, X. Kong and C. Fan, J. Am. Chem. Soc., 2017, 139, 15784–15791 CrossRef CAS .
  65. J. Park, M. Xu, F. Li and H. C. Zhou, J. Am. Chem. Soc., 2018, 140, 5493–5499 CrossRef CAS .
  66. X. Gao, M. Zhai, W. Guan, J. Liu, Z. Liu and A. Damirin, ACS Appl. Mater. Interfaces, 2017, 9, 3455–3462 CrossRef CAS PubMed .
  67. D. Chen, D. Yang, C. A. Dougherty, W. Lu, H. Wu, X. He, T. Cai, M. E. Van Dort, B. D. Ross and H. Hong, ACS Nano, 2017, 11, 4315–4327 CrossRef CAS PubMed .

This journal is © The Royal Society of Chemistry 2020
Click here to see how this site uses Cookies. View our privacy policy here.