Literature DB >> 35614900

Systemic Complement Activation Profiles in Nonexudative Age-Related Macular Degeneration: A Systematic Review.

Jonathan B Lin1, Stylianos Serghiou2, Joan W Miller1, Demetrios G Vavvas1.   

Abstract

Topic: To evaluate whether differences exist in systemic complement activation profiles in patients with early to intermediate nonexudative age-related macular degeneration (AMD) or geographic atrophy (GA) compared with control participants without AMD. Clinical Relevance: Complement inhibition has emerged as a therapeutic strategy for GA, although clinical trials to date have yielded mixed results. Despite these efforts, no clear consensus exists regarding what portions of the complement pathway are dysregulated in AMD or when this dysregulation occurs relative to AMD stage. Although past studies have compared systemic complement activation profiles in patients with AMD versus in control participants without AMD, differences in AMD case definition and differing analytical approaches complicate their interpretation.
Methods: We performed a systematic review by identifying articles from database inception through October 11, 2020, that reported systemic complement activation profiles in patients with early or intermediate nonexudative AMD or GA versus control participants without AMD by searching PubMed, Google Scholar, and Embase. Risk of bias was assessed using a modified Newcastle-Ottawa score.
Results: The 8 reviewed studies included 2131 independent participants. Most studies report significantly higher systemic levels of products associated with complement activation and significantly lower systemic levels of products associated with complement inhibition in patients with early and advanced nonexudative AMD compared with control participants without AMD. Discussion: Evidence suggests that systemic complement overactivation is a feature of early or intermediate and advanced nonexudative AMD. However, given significant heterogeneity, these findings are not conclusive and warrant further investigation.

Entities:  

Keywords:  Age-related macular degeneration; Complement; Geographic atrophy; Systematic review

Year:  2022        PMID: 35614900      PMCID: PMC9126439          DOI: 10.1016/j.xops.2022.100118

Source DB:  PubMed          Journal:  Ophthalmol Sci        ISSN: 2666-9145


Age-related macular degeneration (AMD) is a leading cause of irreversible vision loss in older adults and is projected to affect 288 million people by 2040.[1] Advanced AMD manifests in 2 forms: advanced nonexudative AMD characterized by geographic atrophy (GA) and irreversible loss of photoreceptors, retinal pigment epithelium, and choriocapillaris; or advanced exudative AMD characterized by choroidal neovascularization. Although exudative AMD historically was responsible for more vision loss compared with nonexudative AMD, therapies that target vascular endothelial growth factor, such as bevacizumab (Avastin), ranibizumab (Lucentis), aflibercept (Eyelea), and brolucizumab (Beovu), have significantly improved outcomes for many patients with exudative AMD.[2,3] However, no Food and Drug Administration-approved therapies are available to treat patients with GA or those with exudative AMD who respond to anti-vascular endothelial growth factor therapies, but exhibit late macular atrophy. Although antioxidant and mineral supplementation with the Age-Related Eye Disease Study or Age-Related Eye Disease Study 2 formulations reduces the risk of progression to advanced AMD, secondary analyses suggest that they primarily prevent progression to exudative AMD and do not change risk of progression to GA.[4-8] Thus, a need exists for novel therapeutic strategies to prevent GA and to slow GA progression. Four landmark studies identified a strong association between AMD and the Y402H common variant of the CFH gene.[9-12] These and numerous subsequent studies have established a clear link between immune dysregulation and AMD pathogenesis,[13] which have led to recent studies investigating the possible strategy of complement inhibition to slow GA progression. The initial studies have yielded null results. The phase 2 COMPLETE (Complement Inhibition with Eculizumab for the Treatment of Nonexudative Age-Related Macular Degeneration) study showed no significant change in GA growth rate with systemic C5 inhibition (eculizumab).[14] Similarly, although the phase 2 MAHALO study reported a benefit of intravitreal complement factor D inhibition (lampalizumab; 20% reduction in GA growth at 18 months; P = 0.12, meeting a prespecified α value of 0.20),[15] the phase 3 CHROMA and SPECTRI trials did not meet their primary end points of showing an effect of lampalizumab on GA growth rate.[16] Other studies using different complement inhibition strategies have shown sufficient promise to continue to phase 3 trials. The phase 2 FILLY study reported that monthly intravitreal C3 inhibition (pegcetacoplan) reduced GA growth by 29% (95% confidence interval, 9%–49%) at 18 months.[17] Although not yet published, a news release from Apellis reported a significant, albeit modest, effect of pegcetacoplan in the phase 3 OAKS study (ClinicalTrials.gov identifier, NCT03525600), whereas the phase 3 DERBY study (ClinicalTrials.gov identifier, NCT03525613) did not find a statistically significant beneficial effect. The phase 2/3 GATHER1 study reported that intravitreal C5 inhibition (avacincaptad pegol) reduced GA growth by 12 months[18]; the phase 3 GATHER2 study (ClinicalTrials.gov identifier, NCT04435366) is underway. Despite these significant efforts to develop complement inhibition as a therapeutic strategy for GA, no clear consensus exists regarding what portions of the complement pathway are dysregulated in AMD or when this dysregulation occurs relative to AMD stage. Although past studies have quantified systemic complement levels in patients with AMD compared with control participants without AMD, differences in AMD case definition and differing analytical approaches complicate the interpretation of these studies. The purpose of this systematic review was to examine the available evidence to determine whether differences exist in systemic complement activation or inhibition in patients with early to intermediate nonexudative AMD or GA versus control participants without AMD. These findings will not only improve our understanding of the cellular and molecular pathways underlying AMD pathogenesis, but will also inform the future development of novel therapies for GA.

Methods

Protocol and Registration

The review protocol was not registered before publication. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.[19] The requirement for informed consent was waived because of the retrospective nature of the study. All research adhered to the tenets of the Declaration of Helsinki.

Search Methods for Identifying Studies, Study Selection, and Eligibility Criteria for Considering Studies

We performed a comprehensive literature search using PubMed, Embase, and Google Scholar on October 11, 2020. The full electronic search syntax used in PubMed was: macular degeneration [MESH terms] OR age related macular degeneration [all fields] OR AMD [all fields] AND complement [all fields]; the syntax used in Embase was: (‘age related macular degeneration’/exp OR ‘age related macular degeneration’ OR ‘amd’/exp OR amd OR ‘macular degeneration’/exp OR ‘macular degeneration’) AND (‘complement’/exp OR complement) AND ‘article’/it; and the syntax used in Google Scholar was: allintitle: “age related macular degeneration” OR AMD OR “macular degeneration” AND complement. For all 3 databases, we used no restrictions based on publication date or article type. This search identified a total of 1627 articles after duplicates were removed. One of the authors (J.B.L.) reviewed the title and abstracts from each of these manuscripts, omitting those written in a language other than English, those clearly not relevant to the present study, and review articles. No controversial cases required adjudication. We then obtained the full texts of remaining studies and assessed them for inclusion. We also reviewed the references of each included article to identify other potential articles for inclusion. We repeated the comprehensive literature search as detailed above on January 7, 2022, which did not identify any additional manuscripts for inclusion.

Data Collection

We included all studies, regardless of study design, that reported quantitative values for at least 1 complement protein and compared either patients with nonexudative AMD by any classification methodology versus control participants without AMD or patients with either central or noncentral GA versus control participants without AMD. We did not require the quantification of complement proteins to be the primary aim of the study. Because we were interested in systemic complement activation patterns in nonexudative AMD and in GA, we excluded any study that did not differentiate between AMD subtype or that included multiple types of AMD (exudative AMD and GA) in a single comparison group, because these studies used inappropriate case definition for our research question. Although some of the included studies were performed by the same groups, no indication was found within the full text that they originated from the same specific patients.

Risk of Bias Assessment

The risk of bias in individual studies was analyzed at the study level, using a modified Newcastle-Ottawa scale (Appendix A). Newcastle-Ottawa scale scores of 7 or more were considered to be of high quality with low risk of bias. One of the authors (J.B.L.) performed the risk assessment, which was confirmed independently by another author (D.G.V.).

Results

Study Characteristics

Our search strategy yielded 1627 articles; after omitting studies not in English, review articles, and those that were clearly not relevant to the present systematic review, we reviewed the full texts of 94 articles (Fig 1). Authors were not contacted for further clarification. Of the 94 articles that were reviewed in full, 50 articles (53%) were excluded because of ineligible case definitions (e.g., not distinguishing between nonexudative and exudative AMD); 28 studies (30%) were excluded because they did not report systemic complement protein levels; and 8 studies (9%) were excluded because they reported local (e.g., aqueous humor, vitreous humor) rather than systemic complement levels.
Figure 1.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram showing citations identified, included, and excluded with reasons for exclusions.

In total, the 8 studies reviewed herein included 2131 independent patients[20-27] (Table 1). Two studies (25%) were cross-sectional; 2 studies (25%) were hybrid studies that combined data of patients from the observational (pretreatment) phase of a phase 2 randomized clinical trial and a separate cross-sectional study; and 4 studies (50%) were case-control studies that used a subset of patients from AMD registries or databases. Most studies (63%) originated from the United States. The included studies used different AMD classification criteria, including those from the International ARM (Age-Related Maculopathy) Epidemiological Study Group, the Clinical Age-Related Maculopathy Staging system, the Age-Related Eye Disease Study severity scale, or investigator-defined clinical criteria (Table 1).
Table 1.

Characteristics of Studies Included in Systematic Review

No. of Participants
Study (Country)YearStudy Design Nonexudative Age-Related Macular Degeneration Geographic Atrophy Without Age-Related Macular Degeneration Control GroupAge-Related Macular Degeneration Classification Methodology
Sivaprasad et al (England)2007Cross-sectional42038Likely clinic based; healthy without AMDInternational ARM Epidemiological Study Group
Reynolds et al (USA)2009Case-control from registry05860Registry based; no AMD, CARMS grade 1Clinical Age-Related Maculopathy Staging
Machalińska et al (Poland)2009Cross-sectional30030Clinic based; no AMDStudy-specific clinical definition
Lashkari et al (USA)2018Hybrid413733Clinic based; no AMD, AREDS stage 0Age-Related Eye Disease Study
Lynch et al[22] (USA)2020bCase-control from registry04627Registry based; cataract control participants without AMDStudy-specific clinical definition
Lynch et al[21] (USA)2020aCase-control from registry109065Registry based; cataract control participants without AMDStudy-specific clinical definition
Lashkari et al (USA)2020Hybrid243733Clinic based; no AMD, AREDS stage 0Age-Related Eye Disease Study
Heesterbeek et al (Europe)2020Case-control from database41462945Genetic database based; no AMDStudy-specific clinical definition

AMD = age-related macular degeneration; AREDS = Age-Related Eye Disease Study; ARM = age-related maculopathy; CARMS = Clinical Age-Related Maculopathy Staging.

Quality Assessment

To analyze risk of bias in the included studies, we used a modified Newcastle-Ottawa scale (Appendix A). All 8 studies showed a low risk of bias, given Newcastle-Ottawa scale scores of 7 or more (Supplemental Table 1). Five of the 8 studies (63%) did not include a statement regarding whether the outcome measurement was performed blinded to the group to which the samples belonged.

Complement in Early or Intermediate Nonexudative Age-Related Macular Degeneration

The earliest published study comparing patients with nonexudative AMD and control participants without AMD was from 2007 by Sivaprasad et al.[20] In a cross-sectional study design, they found higher levels of C3a-desArg in patients with nonexudative AMD (median, 52.6 ng/ml; range, 2.8–198.1 ng/ml) compared with control participants without AMD (median, 40.3 ng/ml; range, 6.1–81.7 ng/ml). C3a-desArg is produced during complement activation and thus is considered a general marker of complement activation. In contrast, a subsequent cross-sectional study by Machalińska et al[23] found no statistically significant difference in plasma C3a-desArg in patients with dry AMD versus control participants (P = 0.54). Of note, these 2 studies used different AMD classification criteria: the former used that of the International ARM Epidemiological Study Group, whereas the latter used their own clinical criteria. Of note, both studies were also relatively small (n = 30–42 per group). Almost 1 decade later, Lynch et al[21] published a larger case-control study, comparing patients with intermediate AMD (n = 109) with control participants without AMD (n = 65). This study examined multiple complement factors and found significant differences in the levels of multiple complement components. Of interest, multiple components known to be associated with complement activation, including C3a, Ba, and C5a, were found to be significantly elevated in patients with intermediate AMD versus control participants, whereas other components known to be associated with complement inhibition, including iC3b/C3b, CFH, and CFI, were found to be significantly decreased. Lashkari et al[24,25] published 2 companion articles in which they quantified the levels of complement inhibition proteins in patients with nonexudative AMD versus control participants without AMD and found no significant differences in CFI or CFH levels. The largest case-control study to date was published by Heesterbeek et al[27] with 797 patients with AMD and 945 control participants without AMD. They found a significantly higher C3d to C3 ratio (a marker of complement activation) in patients with intermediate AMD versus control participants, but not in patients with early AMD versus control participants. They used their own AMD classification criteria, whereby early AMD was defined as more than 10 small (<63 μm in diameter) drusen with pigmentary abnormalities or 1 to 14 intermediate drusen (63–125 μm in diameter) and intermediate AMD was defined as more than 1 large (>125 μm in diameter) drusen, 15 or more intermediate drusen, or presence of GA, but not in the central macula. Table 2 summarizes these studies on complement activation profiles in patients with early to intermediate nonexudative AMD versus control participants without AMD.
Table 2.

Complement Activation Profiles in Patients with Early to Intermediate Age-Related Macular Degeneration versus Control Participants without Age-Related Macular Degeneration

VariableControl Participants without Age-Related Macular DegenerationPatients with Early to Intermediate Nonexudative Age-Related Macular Degeneration
Sivaprasad et al
 C3a-desArg*40.3 (6.1–81.7) ng/ml52.6 (2.8–198.1) ng/ml
Machalińska et al
 C3a-desArg[]445 (389–525) ng/ml459 (412–518) ng/ml
Lynch et al[21]
 C3a[]50 (41–62) ng/ml61 (50–76) ng/ml
 Ba[]597 (522–709) ng/ml722 (617–876) ng/ml
 C5a[]564 (448–692) pg/ml703 (575–793) pg/ml
 iC3b/C3b[]882 (657–1119) ng/ml654 (561–834) ng/ml
 CFH[]221 (195–251) μg/ml198 (177–226) μg/ml
 CFI[]31 (28–34) μg/ml26 (22–29) μg/ml
Lashkari et al[24]
 CFH[]585.2 (17.8) μg/ml551.3 (16.2) μg/ml
Lashkari et al[25]
 CFI[§]25.9 (1.0) μg/ml24.2 (1.0) μg/ml[]
Heesterbeek et al
 Log C3d/C3[]1.401.57[#]

Median (range).

Median (interquartile range).

Mean (standard error).

Geometric mean (standard error).

Value taken from Age-Related Eye Disease Study stage III group.

Mean, no measurement of dispersion provided.

Value taken from intermediate group.

Complement in Advanced Nonexudative Age-Related Macular Degeneration

The earliest study examining complement activation in patients with GA compared with control participants without AMD was in 2009 by Reynolds et al.[26] They measured levels of multiple complement components and found significantly higher levels of components associated with activation, including C3a, C5a, and Bb, in patients with GA versus control participants without AMD and significantly lower levels of CFH, a factor associated with complement inhibition. In a similar case-control study performed by Lynch et al,[22] similar elevations of the complement activation products C3a and sC5b-9 were found in patients with GA compared with control participants. Finally, a recent study by Heesterbeek et al[27] found a significantly higher C3d to C3 ratio (a marker of complement activation) in patients with central GA versus control participants. In contrast, Lashkari et al[24,25] measured levels of the complement inhibition proteins CFI and CFH and found no differences between patients with GA versus control participants without AMD. Table 3 summarizes these studies of complement activation profiles in patients with GA versus control participants without AMD.
Table 3.

Complement Activation Profiles in Patients with Geographic Atrophy versus Control Participants without Age-Related Macular Degeneration

VariableControl Participants without Age-Related Macular DegenerationPatients with Geographic Atrophy
Reynolds et al
 C3a*1498 (768–2154) ng/ml1567 (959–2899) ng/ml
 C5a*14 (8–20) ng/ml17 (9–21) ng/ml
 Bb*0.8 (0.5–1.4) μg/ml1.0 (0.6–2.0) μg/ml
 CFH*312 (253–420) μg/ml289 (231–417) μg/ml
Lynch et al[22]
 C3a[]34 (20–75) ng/ml43.5 (30–93) ng/ml
 sC5b-9[]141 (87–220) ng/ml164 (100–319) ng/ml
Heesterbeek et al
 Log C3d/C3[]1.401.57
Lashkari et al[24]
 CFH[§]585.2 (17.8) μg/ml613.4 (20.6) μg/ml
Lashkari et al[25]
 CFI[]25.9 (1.0) μg/ml25.6 (0.9) μg/ml

Median (10th–90th percentile).

Median (range).

Mean, no measurement of dispersion provided.

Mean (standard error).

Geometric mean (standard error).

Discussion

In this systematic review, we identified all published studies comparing systemic levels of complement proteins in patients with early to intermediate nonexudative AMD or GA versus control participants without AMD. Cumulatively, evidence suggests that systemic complement common final pathway activation is increased and systemic complement inhibition is decreased in patients with nonexudative AMD and patients with GA versus control participants without AMD (Fig 2). However, given the substantial heterogeneity between existing studies in terms of study design, AMD case definition, and the specific complement proteins measured, these findings are not conclusive. Moreover, many studies thus far have been relatively small with limited statistical power. These points are especially important because no phase 3 clinical trials examining the usefulness of complement inhibition strategies for slowing GA progression have published significant peer-reviewed results to date. Larger studies with more precise case definitions based on standard clinical criteria and more sophisticated analysis of specific parts of the complement pathway are necessary to identify the ideal therapeutic targets and optimal patient populations who may benefit the most from such therapies.
Figure 2.

Diagram depicting the central conclusion of the systematic review: systemic complement overactivation may be a central feature of early or intermediate age-related macular degeneration (AMD). Although systemic complement overactivation seems to occur in patients with advanced nonexudative AMD, no complement inhibitory strategies thus far have shown efficacy for slowing progression of geographic atrophy. RPE = retinal pigment epithelium. (Illustration commissioned by authors with permission granted by illustrator for publication.)

Another remaining question is whether systemic complement profiles reflect local complement activation profiles in the local retinal environment. Although no study to our knowledge has quantified local complement protein levels in patients with GA, 2 recent studies suggest that local complement common final pathway overactivation indeed exists in early and intermediate AMD, as evidenced by higher levels of complement activation products in aqueous humor.[28,29] These findings are consistent with the findings of this systematic review in that they suggest that complement overactivation may be a feature of early AMD. Despite the possible usefulness of complement inhibition for treating AMD, further studies are necessary to investigate potential unintended consequences of complement inhibition. Animal studies suggest that the complement pathway may not only be important for retinal homeostasis, but may also be protective in models of retinal disease.[30-33] Although not all studies have reached the same conclusions, one study reported that mice lacking C3 or C5 may exhibit increased neovascularization in a laser injury-induced model compared with control mice,[34] suggesting that complement deficiency may be proangiogenic. These findings are especially concerning in light of data from the FILLY and GATHER1 trials showing 3- to 17-fold higher rates of conversion to exudative AMD in patients receiving intravitreal complement inhibition compared with those receiving sham injections.[17,18] In conclusion, complement overactivation may be present in multiple stages of nonexudative AMD. However, further mechanistic studies are necessary to confirm the usefulness of complement pathway modulation in various stages of nonexudative AMD and GA.
  34 in total

1.  Targeting factor D of the alternative complement pathway reduces geographic atrophy progression secondary to age-related macular degeneration.

Authors:  Brian L Yaspan; David F Williams; Frank G Holz; Carl D Regillo; Zhengrong Li; Amy Dressen; Menno van Lookeren Campagne; Kha N Le; Robert R Graham; Tatiana Beres; Tushar R Bhangale; Lee A Honigberg; Ashley Smith; Erin C Henry; Carole Ho; Erich C Strauss
Journal:  Sci Transl Med       Date:  2017-06-21       Impact factor: 17.956

2.  Complement factor H variant increases the risk of age-related macular degeneration.

Authors:  Jonathan L Haines; Michael A Hauser; Silke Schmidt; William K Scott; Lana M Olson; Paul Gallins; Kylee L Spencer; Shu Ying Kwan; Maher Noureddine; John R Gilbert; Nathalie Schnetz-Boutaud; Anita Agarwal; Eric A Postel; Margaret A Pericak-Vance
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

3.  Efficacy and Safety of Lampalizumab for Geographic Atrophy Due to Age-Related Macular Degeneration: Chroma and Spectri Phase 3 Randomized Clinical Trials.

Authors:  Frank G Holz; Srinivas R Sadda; Brandon Busbee; Emily Y Chew; Paul Mitchell; Adnan Tufail; Christopher Brittain; Daniela Ferrara; Sarah Gray; Lee Honigberg; Jillian Martin; Barbara Tong; Jason S Ehrlich; Neil M Bressler
Journal:  JAMA Ophthalmol       Date:  2018-06-01       Impact factor: 7.389

4.  Complement component C3 plays a critical role in protecting the aging retina in a murine model of age-related macular degeneration.

Authors:  Jaimie Hoh Kam; Eva Lenassi; Talat H Malik; Matthew C Pickering; Glen Jeffery
Journal:  Am J Pathol       Date:  2013-06-06       Impact factor: 4.307

5.  Elevated plasma levels of C3a complement compound in the exudative form of age-related macular degeneration.

Authors:  Anna Machalińska; Violetta Dziedziejko; Katarzyna Mozolewska-Piotrowska; Danuta Karczewicz; Barbara Wiszniewska; Bogusław Machaliński
Journal:  Ophthalmic Res       Date:  2009-05-28       Impact factor: 2.892

6.  CFH and ARMS2 genetic risk determines progression to neovascular age-related macular degeneration after antioxidant and zinc supplementation.

Authors:  Demetrios G Vavvas; Kent W Small; Carl C Awh; Brent W Zanke; Robert J Tibshirani; Rafal Kustra
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-08       Impact factor: 11.205

7.  Advances in Age-related Macular Degeneration Understanding and Therapy.

Authors:  Joan W Miller; Saghar Bagheri; Demetrios G Vavvas
Journal:  US Ophthalmic Rev       Date:  2017

8.  C3- and CR3-dependent microglial clearance protects photoreceptors in retinitis pigmentosa.

Authors:  Sean M Silverman; Wenxin Ma; Xu Wang; Lian Zhao; Wai T Wong
Journal:  J Exp Med       Date:  2019-06-17       Impact factor: 14.307

9.  The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.

Authors:  Matthew J Page; Joanne E McKenzie; Patrick M Bossuyt; Isabelle Boutron; Tammy C Hoffmann; Cynthia D Mulrow; Larissa Shamseer; Jennifer M Tetzlaff; Elie A Akl; Sue E Brennan; Roger Chou; Julie Glanville; Jeremy M Grimshaw; Asbjørn Hróbjartsson; Manoj M Lalu; Tianjing Li; Elizabeth W Loder; Evan Mayo-Wilson; Steve McDonald; Luke A McGuinness; Lesley A Stewart; James Thomas; Andrea C Tricco; Vivian A Welch; Penny Whiting; David Moher
Journal:  Syst Rev       Date:  2021-03-29

10.  Complement Activation Levels Are Related to Disease Stage in AMD.

Authors:  Thomas J Heesterbeek; Yara T E Lechanteur; Laura Lorés-Motta; Tina Schick; Mohamed R Daha; Lebriz Altay; Sandra Liakopoulos; Dzenita Smailhodzic; Anneke I den Hollander; Carel B Hoyng; Eiko K de Jong; B Jeroen Klevering
Journal:  Invest Ophthalmol Vis Sci       Date:  2020-03-09       Impact factor: 4.799

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  3 in total

1.  Systemic Complement Activation Profiles in Nonexudative Age-Related Macular Degeneration: A Meta-Analysis.

Authors:  Jonathan B Lin; Stylianos Serghiou; Joan W Miller; Demetrios G Vavvas
Journal:  J Clin Med       Date:  2022-04-23       Impact factor: 4.964

Review 2.  Targeting the Complement Cascade for Treatment of Dry Age-Related Macular Degeneration.

Authors:  Prem N Patel; Parth A Patel; Matthew R Land; Ibrahim Bakerkhatib-Taha; Harris Ahmed; Veeral Sheth
Journal:  Biomedicines       Date:  2022-08-04

3.  "Complement-ary" Therapies for Age-Related Macular Degeneration.

Authors:  Jonathan B Lin; Rajendra S Apte
Journal:  Ophthalmol Sci       Date:  2022-04-12
  3 in total

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